NAIA method: Dimensions, indicators, and variables.
\r\n\tAlthough the microorganism was later described by several other researchers with multiple synonyms, Escherich was recognized as the first, establishing the definitive name of the microbe as Escherichia coli in 1954.
\r\n\tIn 1933, Alfred Adam showed that certain serotypes of "dyspepsia Koli" (as he called the diarrheagenic E. coli strains) were implicated in epidemics of pediatric diarrhoea. In 1944, Kauffman proposed a classification scheme that is still in use today for the purpose of differentiating commensal types from pathogens and subclassifying them.
\r\n\tEscherichia coli, in its natural habitat, lives in the intestines of most healthy mammals. It is the main facultative anaerobic organism of the digestive system. In healthy individuals, that is, if the bacterium does not acquire genetic elements that encode virulent factors, the bacterium acts as a commensal forming part of the intestinal microbiota and thus helping the absorption of nutrients.
\r\n\tIn humans, E. coli colonizes the gastrointestinal tract of a neonate by adhering to the mucus of the large intestine within a few hours of birth. Since then, it remains in a relationship of mutual benefit. However, these commensal strains can cause infections in immunosuppressed patients.
\r\n\r\n\tPathogenic strains of E. coli, on the other hand, as soon as they colonize a healthy host, can cause infections of varying severity in the intestine, urinary tract, meningitis, and sepsis, among other infections.
\r\n\tDiarrhea caused by pathogenic strains of E. coli is an important cause of death in children under 5 years of age, especially in sub-Saharan Africa and South Asia, where it is one of the four most important causes of moderate and severe diarrhea, potentially lethal An increase in mortality is associated with enteropathogenic strains.
\r\n\tUrinary tract infections are more common in women because of the short length of the urethra (25 to 50 mm) compared to men (about 15 cm). Among the elderly, urinary infections tend to be of the same proportion between men and women.
\r\n\tBecause the bacteria invariably enter the urinary tract through the urethra (an ascending infection), poor hygiene habits can predispose to infection; however, other factors become important, such as pregnancy, benign or malignant hypertrophy of the prostate, and in In many cases, the initiating event of the infection is unknown. Although ascending infections are the cause of lower urinary tract infections and cystitis, this is not necessarily the cause of upper infections such as pyelonephritis, which may have a hematogenous origin.
Zika virus (ZIKV) is a mosquito-borne viral disease caused by a flavivirus from the Flaviviridae family and transmitted by species belonging mainly to genus Aedes, discovered in 1947 in Uganda in infected rhesus monkeys [1, 2] with the first human cases reported in Africa and Asia [3]. Latin America and the Caribbean started to be affected with outbreaks, the first one reported in 2015 in Brazil [4]. Systemic symptoms include fever, maculo-papular rash, headache, arthralgia and conjunctivitis [2, 5].
\nOcular involvement of ZIKV is not an uncommon manifestation in a patient with Zika virus infection. There are two main situations in which ocular pathology can occur: The first one is the manifestation of the virus in an adult patient, including the non-purulent conjunctivitis and more rarely ocular inflammation, especially in the anterior segment [6, 7]. Non-purulent conjunctivitis occurs between 55 and 63% of patients, as reported in outbreaks from Yap Islands and French Polineise, however according to other studies, conjunctivitis only occurs between 10 and 25% of patients infected with ZIKV [8, 9, 10].
\nThe second way implies ocular abnormalities of congenital etiology, that belongs to the congenital Zika syndrome (CZS) [11]. The most prevalent congenital disorder is brain calcifications (42.6; 95%CI, 30.8–54.4), meanwhile the prevalence of ocular disorders was less frequent (4.2; 95% CI, 1.0–7.5) [10]. The overall presentation rate of ocular manifestations in infants with CZS is 21.4–55% [11, 12]. Infection due to ZIKV in the first trimester of pregnancy can trigger the presentation of CZS in 1–13% of the cases with ocular manifestations in patients present up to 70% of cases [13].
\nFirst report in literature about ocular manifestation in CZS was published in 2016 with three cases of children with mothers exposed to the virus during gestational age, leading to macular chorioretinal atrophy in all cases [14]. A second report of ocular anomalies related to CZS was done in a 10 case-series, informing horizontal nystagmus in 10% of cases, exophoria in 40% of cases, esophoria in 20% of cases, macular alterations like gross pigment mottling and/or chorioretinal atrophy and optic nerve anomalies like hypoplasia with double-ring sign, pallor, and/or increased cup-to-disk ratio in 75 and 45% of evaluated eyes respectively [15]. An interesting fact about these ocular anomalies is that it is not required the presence of microcephaly to get an ocular involvement, like was reported by Ventura et al. in an infant with cerebral calcifications and an unilateral chorioretinal scar in macular region [16] .
\nIn the same year, it was reported a case series including 29 patients with microcephaly due to CZS, in which 36.5% had some degree of ocular involvement: Lens subluxation, bilateral iris coloboma, optic nerve abnormalities and chorioretinal atrophy in 5.9, 11.8, 47.1 and 64.7% of cases respectively [17]. Afterwards, in 2017, in a bigger sample (70 children with microcephaly),36% were positive to ophthalmological findings like macular and optic nerve anomalies (26% of ocular cases), strabismus/nystagmus (10% of ocular cases) and suboptimal visual acuity (100% of ocular cases) [18]. Zin et al. reported a cohort of 112 children with 21.4% of cases with positive ocular findings: 79.2% of cases with optic nerve abnormalities, 58.3% with retinal involvement, 25% with nystagmus, 4.2% with microphthalmia [19].
\nIn Colombia and near countries like Venezuela, exists studies reporting ocular findings [20], like a study with 43 microcephalic children, of which 12% presented optic nerve hypoplasia, 63% macular pigment mottling, 7% lacunar maculopathy and 12% developed congenital glaucoma [21]. Alvarado-Socarras et al. reported a case series of children born from women infected with ZIKV, where two children had intraretinal hemorrhages, hyper/hypopigmented lesions. The increased risk for ocular ZIKV in these cases where derived from the presence of microcephaly and the infection during pregnancy [22].
\nIn an attempt to assess the risk factors associated to ocular manifestations, Ventura et al. conducted a cross-sectional study including 40 microcephalic children, 60% of them with ZIKV positive infection. There was a statistically significant relationship of ocular manifestations to children with smaller cephalic diameter at birth (95%CI, −2.56 to −0.51; P = 0.004) and infants whose mothers reported symptoms during the first trimester (95%CI, 0.02–0.67; P = 0.04) [23]. It is relevant to mention that not only ocular structural changes are manifest in children with CZS, but also functional abnormalities like ocular motor disorders, visual fields defects (45.1% of cases), low contrast sensitivity (81.3% of cases), hypoaccomodation and refractive errors. Prevalence rate of severe visual impairment without structural changes is present in 84.6% of cases, related to cortical/cerebral involvement [24]. According to Baran et al., visual acuity losses occur in children with gestational infection, with a slowing of visual development even in the absence of microcephaly [25].
\nIt is not necessary the presence of microcephaly in children or ZIKV systemic symptoms in pregnant women to manifest ocular abnormalities. Ocular involvement caused by Zika virus should be included in differential diagnosis, especially in endemic areas, of any patient presenting ocular manifestations and a history of fever. This chapter describes the most important aspects of the ocular compromise caused by ZIKV, items that the clinicians should consider when approaching a patient with a suspected ocular involvement by the mentioned virus.
\nZIKV, similar to other flaviviruses, has an icosahedral envelope with positive single-stranded RNA as a genetic material that encodes a polyprotein processed by viral and cellular proteases into three structural proteins: capsid proteins, membrane and envelope that form the viral particle and mediate the binding of the virus, allowing entry and encapsidation. Seven non-structural proteins (NS) (NS1, NS2A, NS2B, NS3, NS4A, NS4B and NS5), play a role for polyproteins processing and the induction of an innate antiviral response in the host. The main surface glycoprotein involved in the binding of the host cell and the fusion of the viral membrane is the envelope protein, which allows the fixation and fusion of the viral particle to the host cell and is a useful tool in the diagnosis [26]. Viral reproduction is achieved through non-structural proteins (NS1–NS5), which serve as self-dividing peptidases, together with viral RNA-dependent RNA polymerase [27].
\nThrough the endocytosis process, the virion enters the cytoplasm of the cells [28]. Non-structural proteins bind to the endoplasmic reticulum, where viral replication of RNA is performed using cell structure and dynamics and released by cellular apoptosis. Subsequently, it takes the viral phase that occurs between 3 and 5 days after the first symptoms, then hematogenous spread to organs and tissues occurs. It is believed that the virus could have neuronal (pantropic) and other organ tropism, because viral RNA has been found in the brain, as well as in the liver, kidney, heart and spleen [29]. There are also other forms of transmission called non-vector, such as vertical transmission [30, 31], sexual transmission and blood transfusion [32, 33].
\nThe pathophysiology of the ocular findings is not known in detail so far. It has been studied in animal models and deceased fetuses that have tried to demonstrate the great retinal compromise that includes macular abnormalities such as pigment spots and chorioretinal atrophy, loss of retinal pigment epithelium, perivascular choroidal inflammatory infiltrate and optic nerve abnormalities such as hypoplasia, paleness and increased cup-disc ratio. Other publications describe additional findings, such as iris coloboma, lens subluxation, cataracts, glaucoma, and microphthalmia [15, 34, 35]. At the ocular level, Zika virus infection can affect any part of the uveal tract (iris, ciliary body, retina and choroid), since most clinical cases have defects in the posterior segment [14, 15]. The hematoretinal barrier formed by vascular endothelial cells of the inner retina and external RPE (Retinal Pigment Epithelium) cells constitutes the first protective barrier that is responsible to control the entry of innate immune cells and pathogens into the posterior eye segment [36, 37]. The type I interferon (IFN) response is an important defense mechanism against most flaviviruses. A129 mice, which are deficient in IFN α and β receptors, have been commonly used as an animal model to study ZIKV infection [38, 39].
\nBy detection of RNA nucleic acids in animal models, it has been suggested that the ocular infection can spread hematogenously to the brain and the eye simultaneously, although it is not possible to rule out the transfer through the optic nerve, in which there has been shown that houses the higher concentration of viral antigen. Therefore, the spread of the virus at the ocular level could be hematogenous or axonal, as studies show, however the viral peak during viremia suggests the hematogenous route through the choroid choroid as a more important initial mechanism. After day 3, the progressive increase in viral RNA levels in the eye is markedly different from that of peripheral blood [40]. In a hypothetical study using human target cells, it was shown that the pathophysiology of ocular ZIKV begins when it spreads throughout the retinal bed through the retinal arteries affecting the endothelial cells and the retinal pericytes of the internal hematoretinal barrier and then compromises the choroid to infect the external hematoretinal barrier by compromising the RPE cells and allowing the amplification and spread of the virus in the retinal bed. It was found that retinal endothelial cells are highly permissive for ZIKV and showed important cytopathic effects. It was shown that Müller cells are not permissive for ZIKV infection and photoreceptor cells appear to be even less so. The highest levels of ZIKV transcription were observed in retinal pericytes [41].
\nIt has been documented that the entry and binding of several viruses at the cellular level is facilitated by the TAM (tyrosine kinase) receptors as well as the TLR [36] (toll like receptor) that play an important role in the organization of the innate responses of the retina in the microbial infection. Among them, AXL (TAM type receptor) was identified as the main receptor involved and together with the TLR3 (toll like receptor) that is involved in the viral infection, they allow the binding of the virus and its respective anchorage to the cellular guest machinery. These findings suggest that ZIKV can use AXL as an input receptor to gain access to hematoretinal barrier cells and therefore cause retinal pathology. Host cells employ intracellular pathogen recognition receptors, such as TLR and RIG-I-like receptors, for the recognition and initiation of innate immune responses, in particular with the generation of the interferon pathway (IFN type I). ISG15 induced by type I IFN is generally considered an antiviral gene that plays a protective role in the retina against ZIKV infection. Although, ISG15 has been shown to influence viral replication both positively and negatively. The expression of several IFN-induced antiviral genes has also been demonstrated, including OAS2 and MX1 [40, 41, 42].
\nIn animal models it has been seen that by day 9 of the infection process, there is activation of local glial cells and the start of cell recruitment given a subtle increase in the gene expression of MHC, B2m and STAT1. In addition, there is an increase in TNFα, granzyme, perforin and IFNγ without evidence of CD3 or CD8 T markers, suggesting that possibly NK cells reach the eye in the early stages of the disease [40, 42]. A few days later (days 12–16), when mice develop clinical signs of encephalitis, chemokine expression in the eyes peaks. The analysis of the profile of cytokines and adhesion molecules reveals a marginal increase in the levels of β2-m, GMCSF and MCP1 and a moderate increase in the expression of ICAM-1, IL-6 and VCAM-1; and higher levels of RANTES expression (Regulators after activation, normal T cells expressed and presumably secreted) are evidenced in ZIKV infected cells. This elevation recruits inflammatory cells in the retinal microenvironment and produces chronicity [41]. Recent studies in mouse models suggest that ZIKV is located in the iridocorneal angle and in the trabecular meshwork where through the already mentioned mechanisms, they induce cell death at the level of the trabecular meshwork, leading to induction of inflammatory response that causes trabeculitis and could be one of the potential mechanisms for the IOP increase and glaucomatous pathology [43]. Furthermore, once the infection is located at the ocular level, panuveitis can be generated in the presence of ZIKV in the layers of the cornea, choroid, bipolar and ganglion cells of the retina and optic nerve and therefore the viral RNA can be secreted from tear glands or detached from the cornea to the tears [44].
\nSeveral studies have been conducted in animal models to try to address the pathophysiological mechanism involved in the development of eye disorders. Van den Pol et al. studied an animal model in infected newborn mice, which exhibit a brain development process similar to the human brain fetus in the second trimester. They mainly analyzed the brain and the visual pathway, identifying the damage caused by ZIKV in the entire visual system, including the retina, the optic chiasma, the suprachiasmatic nucleus, the lateral geniculate nucleus and/or the superior colliculus. The theory postulated that ZIKV can be transported axonally, which improves the spread of the virus within the brain, with a fundamental role of glial cells to understand the mechanism behind neurological and ocular findings [45].
\nSingh et al. also conducted an animal model study that only analyzed the pathophysiology of retinal findings demonstrating that retinal cells, including those of the RPE, are permissible for ZIKV replication and express receptors for them. In addition, they are susceptible to ZIKV-induced cell death, leading to retinal lesions because of the virus ability to break the integrity of the hematoretinal barrier. They suggested that ISG15 (Interferon-stimulated gene 15) and its antiviral activity, plays a role in the innate defense of the retina against ZIKV infection [46].
\nIn a subsequent study with a murine model, Zhao et al. showed that ZIKV can infect the retina in immunodeficient and immunocompetent mice and affect multiple retinal layers. ZIKV preferentially infects RPE and Müller cells, which are key support cells for neuronal survival, function and repair of retinal lesions. Müller cell ablation causes neurological and vascular pathological effects that resemble the ocular characteristics of congenital eye disease due to ZIKV. Müller cells show a decreased neurotrophic function with a post-infection up-regulation of cytokines levels [47]. In a more recent study, Aleman et al. [48]. provided the first evidence in-vivo in humans that shows central retinal degeneration with severe loss of ganglion cells and a borderline thinning of nerve fibers, as well as a less prominent loss of photoreceptors. The findings provide the first evidence to date, in humans, that ganglion cells -and perhaps surrounding glia cells- are the primary cellular targets in the retina of patients with ZIKV infection, which is consistent with the murine disease model that suggest a depletion of this neuronal population in the uterus as a result of the infection [44]. Figure 1, resumes some of the pathogenic theories involving the ZIKV and its infection to some of the retinal cells.
\nPathogenic infection process by ZIKV to the retinal pigment epithelium.
The most important findings of ophthalmologic abnormalities associated with Zika virus infection are reported in infants with microcephaly due to Zika congenital infection, leading to a broad spectrum of ophthalmological manifestations. It is proposed that the ocular findings could be a result of the direct effect of Zika virus itself and not only a consequence of microcephaly, because of the known deleterious effects of the virus on the central nervous system [14, 49, 50, 51]. The increased neurotropism of the virus explains why the retina and optic nerve are the main structures affected in infants with congenital Zika virus syndrome. It has been proposed that the typical optic nerve hypoplasia is more related to microcephaly, and the retinal anomalies specially found in the neurosensory retina are associated to an inflammatory reaction due to the virus toxin. The majority of findings are bilateral [23, 52]. There is no report of uveitis in congenital cases [53].
\nZika exposure without infection during gestation does not seem to affect ocular status, visual acuity or visual development. When the Zika virus is vertically transmitted to the fetus and the subsequent infection is confirmed, the infant may show ophthalmologic and visual function damage. There has been described retinal abnormalities in children with microcephaly attributed to Zika virus infection during pregnancy, found in 60–85% of the affected patients with ocular findings, including optic nerve abnormalities and macular alterations [23, 51]. It is hypothesized that the most sever ophthalmic manifestations occur when the infection takes place in the first or second trimester of pregnancy, because of the Zika’s tropism related to the neural precursors, which are available in the early phases of cerebral differentiation [10, 23, 54, 55]. It has been found that retinal findings are more prevalent when the infection takes place in the first trimester and the related viral load may be relevant to the final process that results affecting the macula. In the other hand, the optic nerve could be affected in all trimesters [5].
\nOptic nerve hypoplasia is one of the most important findings in infants with congenital Zika virus infection [51]. This condition can be identified with the double ring sign as a manifestation of a small and undeveloped optic nerve [23, 52, 56, 57] (Figure 1). Other typical signs of insult to the optic nerve include pallor and increased cup-to-disk ratio [13, 15, 56, 57] (Figure 2). The most frequent macular findings associated with congenital Zika virus infection include gross pigment mottling, foveal reflex loss and chorioretinal atrophy, which differs from toxoplasmosis scars because of the absence of intraocular inflammatory signs and the presentation of a typical dark pigmentation rim around the atrophic area [15, 18, 58]. The circumscribed macular atrophy observed in the affected children seems to be pathognomonic to congenital Zika syndrome [5, 6, 50]. The macular atrophy caused by Zika virus infection is mostly associated with involvement of the outer retinal layers and choriocapillaris (Figure 3). Inner retinal vascular abnormalities could also be present and associated with post-viral neurological sequelae of Zika virus infection, in addition to the well-known outer retinal effects of the infectious disease [59].
\nOptic disc hypoplasia with double-ring sign associated with hyperpigmented mottling and one sharply demarcated chorioretinal atrophy on the macula. Image courtesy from Camila Ventura, MD, PhD. Altino Ventura foundation (FAV) - HOPE eye hospital. reproduced with permission.
Macular chorioretinal atrophy, hyperpigmented mottling, vascular attenuation and optic disc hypoplasia. Image courtesy of Camila Ventura, MD, PhD. Altino Ventura foundation (FAV)-HOPE eye hospital. reproduced with permission.
Anterior ocular findings related to Zika virus infection include iris coloboma, cataracts, lens subluxation, intraocular calcifications and microphthalmia even in the absence of microcephaly [34, 60]. However, it is known that the incidence of structural eye alterations, visual acuity loss and fundus abnormalities are significantly higher when the infected child exhibits concomitant microcephaly [14, 25].
\nAmong infants with congenital Zika virus infection, the most commonly reported ocular motility disturbances include early-onset strabismus, nystagmus and ocular flutter [21, 25, 60]. The vascular findings are mainly subretinal hemorrhages and abnormalities in peripheral retinal vasculature, including abnormal termination of the retinal vessels, tortuosity and vascular attenuation [21].
\nThis condition is rare (2.6%) but can occur in infants presenting with CZS and microcephaly. The related findings include and enlarged and cloudy cornea, buphthalmos, photophobia and excessive tearing [11, 57, 61].
\nThe important increase in the prevalence of microcephaly in newborn infants in the Americas, in association with the previously described abnormal and vision-threatening ocular findings, should promptly lead to suspect the diagnosis of congenital infection due to Zika virus in these epidemic regions, which could be confirmed with real-time polymerase chain reaction in the first 5 days of acute phase of infection, after ruling out TORCH infections [62]. It is clear that infants with microcephaly should be screened for ocular lesions, but it is so important to consider that infants without microcephaly may have eye lesions. Then all children of the epidemic areas, such as South America, Central America and the Caribbean, with potential maternal Zika virus exposure at any time during pregnancy should be screened for ocular implication regardless of the presence of central nervous system alterations, because ocular findings could be underdiagnosed if microcephaly continues to be the main inclusion criterion in the screening of this group of children [16, 19, 63]. In addition, all newborns with mothers infected with Zika virus during pregnancy should have an early ophthalmological evaluation including the proper posterior pole examination through full dilation of the pupil [17, 64, 65].
\nThe most important difference between infants and adults is that in adults there could be seen symptoms and signs of an active infectious process with the chance of detecting the Zika virus during a viremic period. In adults, only 20% of adults are symptomatic, and therefore the majority of adults with an acute Zika virus infection are asymptomatic [66]. Instead, in infants the related ocular findings are usually scars, as a manifestation of a post-infection process.
\nSymptomatic patients infected with Zika virus can exhibit a non-purulent conjunctivitis as a non-specific manifestation in the mild course of the disease [8, 67, 68]. Hypertensive iridocyclitis secondary to Zika virus infection has been reported during the acute phase of the disease, associated with ocular discomfort, redness and blurry vision, variable ciliary injection and anterior chamber reaction, miosis and elevation of the intraocular pressure. The findings usually ease after the viremia decreases and the use of topical treatment with steroids, cycloplegic and ocular hypotensive agents [69, 70, 71].
\nOther ocular findings in adults during acute infection include unilateral acute maculopathy, which exhibits a grayish annulus and pigment mottling as fundoscopic alterations, as well as disruption of the outer retinal and retinal pigment epithelium architecture in the central macula on optical coherence tomography and early hypofluorescence with irregular late central staining on angiogram, in addition to prompt resolution with visual function recovery [72, 73]. Neuroretinitis with a macular-star pattern has also been described in literature [74]. There could be found associated placoid or multifocal non-necrotizing chorioretinal lesions, especially in immunocompromised patients, that usually evolve with scaring and posterior improvement of visual acuity. Then, these chorioretinal lesions may be a manifestation of the active phase of infection in patients with viremia [24, 40, 75].
\nAfter clinical evaluation in individuals showing clinically compatible symptoms, the laboratory diagnosis of acute infection is based on the use of molecular tests for direct detection of viral nucleic acids (RNA) in blood and other biological samples and serological tests with tests of Enzymatic immunosorption (ELISA) or immunofluorescence assays (IFA) which allow the detection of IgM and IgG antibodies in serum. In a specialized manner, virus neutralization assays can also be performed to confirm the specificity of the ELISA or IFA tests, as well as cell cultures to isolate the virus [8, 76].
\nDuring the acute phase of the infection, the diagnosis is based on the detection of viral nucleic acid (RNA) by (RT-PCR) polymerase chain reaction of reverse transcription in blood, urine and saliva samples as well as in others biological samples such as CSF, amniotic fluid, semen [77], fetoplacental tissue and aqueous humor. Furtado et al. reported the case of a patient using aqueous humor to perform RT-PCR [70]. Two separate samples should be collected: the first during the acute phase and the second in the next 2–3 weeks [78]. If the result is negative, serological tests such as IGM should be supplemented, if they are positive, the plaque reduction neutralization test (PRNT) is performed as complement to determine whether or not there is a recent infection [76]. The conjunctival fluid contains virus for up to 7 days compared to urine and saliva samples of less than 20 days [79, 80].
\nThe Center for Disease Control recommends that an initial clinical evaluation should be performed in all infants with evidence of exposure to ZIKV or with suggestive laboratories, regardless of whether they have abnormalities consistent with ZIKV infection. There should be also evaluated those infants with abnormal clinical or neuroimaging findings, such as intracranial calcifications that were detected prenatally or during childbirth, and whose mothers were potentially infected with ZIKV during pregnancy [81].
\nAccording to the ECDC, a case is defined as confirmed when at least one of the following laboratory criteria is present: nucleic acid detection (RNA), antigens in a clinical sample; virus isolation in a clinical sample; detection of specific antibodies (IGM) in serum samples and confirmation by neutralization test; seroconversion or quadruple increase in the titer of specific antibodies against ZIKV in paired serum samples. A case is defined as probable if specific IgM antibodies are detected in serum. Epidemiological criteria must be taken into account [82]. It is recommended to perform funduscopy under pharmacological dilation in those patients with risk factors at least once within the first month and repeat at 3 months as a follow-up for those patients with confirmed diagnosis.
\nZIKV infection can occur with a wide spectrum of ocular findings, the most characteristic being the mottled pigment and chorioretinal atrophy that are commonly observed in the posterior pole especially in the macular area. There has been reported cases in the literature with manifestations that include conjunctivitis, uveitis [70], unilateral acute idiopathic maculopathy, chorioretinal lesions of acute onset, self-resolution, non-necrotizing multifocal placoids or manifestations such as manifestation of active chorioretinitis due to virus [75], optic neuropathy and congenital glaucoma [61], retinal vasculopathy [59], and hypertensive iridocyclitis [71].
\nThe funduscopy is clinically important as a diagnostic tool and atrophic pigmented macular and peri-macular lesions, diffuse RPE damage and chorioretinal atrophy can be observed [14]. There are reports where funduscopy revealed pigmented external retinal lesions, retinal vascular abnormalities as tortuosity and dilation and atrophy of the optic nerve [11, 83]. In the peripheral retina a hypolucid spot can be observed as well as scattered subretinal hemorrhages external to the macula.
\nIn fluorescein angiography early blockage and late staining in the retinal pigment epithelium is present. In autoflorescence, multimodal images showed a group of hyperautofluorescent lesions, it has also been described that there were focal areas of presumed choroiditis visualized as hypercynesic lesions in indocyanine green angiography [83].
\nFurtado et al. reported the case of a patient diagnosed with Zika by molecular and serological tests as well as positive ZIKV RNA in (RT-PCR) in aqueous humor obtained by anterior chamber paracentesis and described bilateral conjunctival hyperemia, bilateral non-granulomatous keratic precipitates and positive cellularity in the anterior chamber [70]. Parke et al. presented the case of a patient in whom alterations in the RPE with a gray ring around the fovea were observed and evidence by optical coherence tomography in the external retina and with macular area compromise. The above findings were in relation to a positive result for molecular testing with PRNT neutralization reduction technique of ZIKV [73].
\nFor a better understanding of the ocular findings and as a follow-up to the characteristics probably related to ZIKV infection at the ocular level, some studies that analyzed the retinal tissue have been performed, Ventura et al. for example described the related findings by OCT in a series of consecutive cross-sectional cases that included 8 infants. The main OCT findings in the affected eyes included disruption of the ellipsoid zone and hyperreflectivity underlying the retinal pigment epithelium, thinning of the retina and choroid, and a colobomatous excavation [84].
\nOliveira et al. described that the OCT results show a wide range of retinal damage caused by congenital ZIKV infection, and reinforced the findings compatible with chorioretinal atrophy [85]. Campos et al. described a case report with similar findings that correspond to retina thinning with atrophy of the external retina, including the outer nuclear layer and the ellipsoid zone, associated with hyperreflectivity of the RPE and increased OCT penetration into deeper layers of the choroid and sclera (Figure 4) [86].
\nSpectral domain OCT of a macular lesion in an infant with presumed Zika virus-associated microcephaly, demonstrating retinal thinning with atrophy of the outer retina, including the outer nuclear layer and ellipsoid zone, associated with retinal pigment epithelium hyper-reflectivity and increased penetration of OCT into deeper layers of the choroid and sclera. Taken from Campos AG, Lira RP, Arantes TE. Optical coherence tomography of macular atrophy associated with microcephaly and presumed intrauterine Zika virus infection. Arq bras Oftalmol. 2016;79(6):400–1. Reproduced with the permission from the author according to creative commons attribution license.
Henry et al. used images of fluorescein-like fundus lesions and indocyanine green angiography, autofluorescence and optical coherence tomography associated with ZIKV and described acute and multifocal posterior non-necrotizing placoid epitheliopathy lesions that could be characteristic of active chorioretinitis due to ZIKV [75]. The findings described by OCT suggested that the neurotropism manifested by the ZIKV corresponds to significant necrosis areas of the retinal tissue.
\nThere is no specific approved antiviral treatment nor vaccines for the ZIKV infection to date. Actual treatment due to this virus is focused in control of symptoms (rest, fluid ingestion, antipyretics as paracetamol) [2, 53]. There are several compounds been tested in-vitro, each one with different action mechanism between each other’s: Inhibition of the replication of the virus at early and late phases (For instance the Direct Acting Agents);inhibition of the molecular attachment, endocytosis and fusion mechanisms of the virus leading to block the viral entry, like duramycin, suramin and nanchangmycin [87, 88]. Some different molecules are being studied in animal models such as Z2 synthetic peptide inhibitor and the cholesterol-25-hydroxylase, which interfere vertical transmission in pregnant mice and cause cholesterol oxidation respectively [89, 90]. Novobioctin, lopinavir-ritonavir and bromocriptine cause an inhibition of the protease activity (NS2B-NS3 vial protease protein) [91, 92].
\nThere is a growing interest in developing a vaccine against the ZIKV that could be used, especially in pregnant women. Animal models have been implemented, like knockout mice with shortcomings in IFN-I or IFN-II receptors, recreating many of the characteristics of the infection. The vaccine candidates that are been studied are in phase I or II, being the most promising a ZIKV-purified inactivate virus, or nucleic acid and adenovirus-based vaccines against the prM and E proteins providing long term protection in monkeys and mice [93, 94, 95, 96, 97].
\nThere is no existence of guidelines or clinical trials about the treatment of ocular manifestation in ZIKV infection. The available data is extracted of case reports and case series. It is mandatory to focus the treatment according to the ophthalmic clinical context of each patient. In a patient with ophthalmologic manifestations that are presumed to be derived from ZIKV, it is necessary to exclude other causes before, then specific treatment is established.
\nIn adults, ocular compromise in acute phases of the ZIKV infection could be treated with topical steroids, cycloplegic, and hypotensive topical medication according to ocular signs and symptoms present at that moment. Ocular compromise in children require a multidisciplinary approach and a focused treatment according to the present ocular conditions [53]. Cases with refractive errors, anisometropias, hypoaccomodation, amblyopia, and strabismus requires visual development therapies (eyeglasses, patching, ortoptics, and strabismus surgery) that are key in visual rehabilitation [12, 98].
\nCases of anterior uveitis derived from ZIKV infection, usually are self-limiting course, which makes redundant the need of therapy [99]. However, there are cases of hypertensive acute anterior uveitis treated with β-Blockers and carbonic anhydrase inhibitor eyedrops accompanied or not with topical steroids and cycloplegics with normalization after treatment [70, 71, 100]. Kodati et al. reported an adult case of posterior uveitis and chorioretinal lesions in an inmunocompetent patient treated with loteprednol etabonate 0.5% three times daily, then reaching visual acuities of 20/20, with remaining photopsias [69].
\nCases of bilateral optic neuritis in adults related to ZIKV were treated with intravenous methylprednisolone for 3 days followed by oral prednisolone for 11 additional days leading to a modest and partial recovery of visual acuity [61, 101]. Ocular flutter in a ZIKV post-infection state patient with neurological additional symptoms were described with improvement after intravenous immunoglobulin for 5 days [60].
\nRetinal disease associated to ZIKV, sometimes manifested as perifoveal microaneurysms with no involvement of visual function did not require any additional treatment beyond observation [59]. Acute maculopathy with bull’s-eye shape were reported in an adult case, with total improvement of visual acuity after 6 weeks without any treatment [73]. There is a study were the pharmacological inhibition of ABCG1, a membrane transporter of cholesterol, resulted in reduced ZIKV infectivity of RPE [42].
\nGlaucoma in Congenital Zika syndrome is a visual-threatening condition that need special attention and early treatment, were the use of hypotensive topical medications and surgery like trabeculotomy, trabeculectomy, trabeculotomy plus trabeculectomy or goniotomy are the most used strategies [13, 21, 57, 61].
\nThe infants affected with congenital Zika virus syndrome may manifest many structural ocular findings in addition to the typical ones than involve the posterior pole, presenting low contrast sensitivity, visual field defects, hypoaccommodation, refractive errors and ocular motor disorders such as strabismus and nystagmus, commonly associated to neurological conditions, that finally interfere with the development of stereopsis and binocular vision. The sum of all of these findings results in severe visual impairment, regardless of the abnormalities of the retina and optic nerve [24].
\nThere has been reported that even in the absence of apparent ocular abnormalities, there is a high prevalence of visual impairment between infants with microcephaly due to congenital Zika syndrome, suggesting that cerebral visual impairment, as a result of extensive damage to the central nervous system, could be the most frequent cause of blindness in affected infants [98, 102, 103]. This condition is known as cortical visual impairment, which is a reduction in visual response due to a neurologic issue. Then, the visual prognosis could be committed even in absence of ocular damage because of the severe cerebral malformation and abnormal brain development related to Zika infection. The affected infants usually have some vision and then they could exhibit improvement of their abilities over time. There could be seen the necessity of multidisciplinary teams for early cognitive and visual stimulation of newborns affected by congenital Zika virus syndrome, in order to decrease the impact of these infants and their families and achieve better quality of life. Further studies with long follow-up periods are needed to recognize the impact of the described ocular and neurological abnormalities, as well as for a better understanding and description of the natural history related to Zika infection and its ocular sequelae [13].
\nThe early recognition, assessment and intervention of children with congenital Zika virus syndrome is crucial, especially in those ones that present hypoaccommodation and refractive errors, because they could show a significant improvement in visual acuity if they receive an early intervention with proper eyeglasses, as part of an integral visual stimulation therapy. For achieving significant changes in their refractive status it is necessary to guarantee periodical updates over time.
\nIn general terms, there is a benign visual evolution in adults, because the symptoms and signs are associated with a self-limited viral process related to the acute phase of Zika virus infection that usually resolves once the virus is cleared. Then, the vision returns to normal in the majority of the cases.
\nNon-purulent conjunctivitis is the most common non-congenital and self-limited ocular manifestation of Zika virus infection [101]. The adults that course with chorioretinal lesions, like immunocompromised patients that are in higher risk for presenting these fundus alterations, usually evolve as acute-onset and self-resolving lesions, with scaring and posterior improvement of visual acuity. Then this finding of Zika virus chorioretinitis may be a clear representation of the active phase of infection in a significant context of viremia. In the case of diagnosis of unilateral acute maculopathy related to Zika virus infection, the patient can be carefully monitored because there is usually visual function recovery, with improvement in the pigment epithelial and outer retinal architecture on optical coherence tomography after the acute illness [52].
\nThere has been described many non-congenital ocular complications related to arboviral infection, including epiescleritis, keratitis, uveitis, vitritis, macular atrophy, retinal vascular occlusion, optic neuritis and macular edema, with no specific or pathognomonic ocular lesion for Zika virus infection. Most patients recover completely, but there is always a small percentage of patients that evolve with permanent damage and subsequently can lead to long-life visual impairment [65]. Uveitis can be identified in adults during active Zika virus infection and has a benign prognosis. It is considered the principal difference between the ocular manifestations seen in acquired Zika infection and those observed in congenital Zika virus syndrome, because uveitis has been only reported in the acquired cases during viremia. Most cases evolve to complete regression and recovery of visual acuity after the viremia decreases and the use of topical treatment with steroids, cycloplegic and ocular hypertension drops [12].
\nOcular involvement by ZIKV is related to the ability to break the blood-retinal barrier and axonal transportation, leading to manifestations in children and adults. Among the affected infants, the most common ophthalmologic manifestations include optic nerve hypoplasia, increased cup-to-disk ratio, macular scarring and focal pigmentary retinal mottling, as well as anterior ocular findings and ocular motility alterations. The most sever ophthalmic manifestations occur when the infection takes place in the first trimester of pregnancy, exposure to the virus during pregnancy can cause devastating effects on the developing fetus, specially affecting the central nervous system. The associated pattern of birth defects is known as congenital Zika virus syndrome among adults, the manifestations are usually self-limited and in some cases require some kind of treatment. It is needed to focus the treatment according to the ophthalmic clinical context of each patient. Cases with CZS should be enrolled in an integral and multidisciplinary team for providing early-intervention services including cognitive and visual rehabilitation. Further studies are necessary to recognize the impact of ocular damage and neurological abnormalities and its long-term consequences in the affected children.
\nThe authors thank Camila Ventura, MD, PhD from Altino Ventura Foundation (FAV) and HOPE Eye Hospital, and Adriana Gondim de Moura Campos from Universida de Federal de Pernambuco for having provided images from their daily clinical practice and previous works, being a great complement to this chapter.
\nSustainable development was proposed as a response to the growing awareness of determining relationships among social and economic development, global, regional, local and rural environments, and population growth with its continuous urban concentration [1]. Despite the high complexity associated with sustainable development, efforts to achieve it have become common practice at all levels of public policy, from governmental laws [2] to regional and private decision making [3] because of the potential consequences of not achieving it; i.e., that the environment’s capacity to ensure a certain welfare level would actually be disrupted [4] with serious effects on human societies [5]. Achieving sustainable development requires a substantial, complex and persistent effort, yet addressing the widely acknowledged necessity of how best to measure it is the first step.
Identifying sustainable development indicators at the microeconomic level raises the question of which information is relevant because sustainable development involves three interconnected components that must be addressed per productive unit; viz., environment, equity, and futurity (the ability to manage resources in a long-term perspective and with appropriate respect for future generations). The interdependence can be reflected by several economic, social, and environmental variables that are interconnected and to the additional dimension of time, which emphasizes the long-term perspective [6].
An assessment of a system that describes and quantifies sustainability requires identifying the limitations that affect its operation, the causes behind these limitations, and identifying the potentialities. Thus, proposals can be made to improve farms in accordance with the producer’s real requirements [7].
Evaluating sustainability is not an easy task; it is a complex task to integrate all edges of the concept to reach a single conclusion on the ecological, social, and economic characteristics and implications of a given system. However, there is also a vital need to identify indicators to assess the relative degree of sustainability of proven production systems, especially those in the rural sector [8], which are needed to develop policies that promote respectful practices that are consistent with sustainability.
Among the efforts to make the sustainability of complex production systems operational based on indexes, indicators and frameworks [9], the Framework for the Assessment of Natural Resource Management Systems incorporating Sustainability Indicators (MESMIS) [7] has played a leading role in sustainability assessments because it was one of the first to use a multidimensional approach in addressing the sustainability of agricultural production systems.
This study assessed the sustainability of 17 dairy sheep farms in Castilla y León (Spain), clustered into three management styles; i.e., semi-intensive, intensive, or semi-extensive, based on the MESMIS. To evaluate the results from that method, the statistical analyses were used to assess the indicators of each attribute and the management system.
MESMIS is a method of analysis that helps to quantify sustainability through a comprehensive analysis of management systems. It is based on the interrelationships between environmental, social, and economic processes [10], and aims to maintain or improve productivity, reduce risks and uncertainty, protect resources and prevent soil, water and biodiversity degradation, without diminishing the economic viability of the system [11]. MESMIS includes the local factor as a fundamental diagnostic component, identifies endogenous responses, which makes it a method that is permanently under construction [7]. The assessment must be comparative and cyclical, and it begins characterizing the system, the integration of indicators, and the formulation of conclusions and recommendations for improving the management system.
MESMIS requires the following phases [7]:
Definition and description of the farms assessed.
Characterization of the management systems.
Selection of indicators and development of attributes.
Tool’s global assessment and sustainability measurement.
Proposal of corrective or improvement measures.
This work compiles a set of contributions generated by the Castilla y León team that was involved in the R + D + i research project of the National Institute of Agricultural Research “Incidence on the quality of products and the environment of different livestock farming systems with small ruminants of dairy aptitude. Use of economic, social and environmental indicators and final typification of systems”. The project was within the Sub-program of fundamental research projects oriented towards agricultural resources and technologies in coordination with the Autonomous Regions [“of Spain”]. The aim of the project was to evaluate agricultural and livestock sustainability based on the NAIA indicator system in four Spanish Autonomous Communities; i.e., Castilla y León, Navarra, País Vasco, and Andalucía. The project modified the original NAIA method, which is typically applied to livestock farms, to adapt it to the analysis and diagnosis of small ruminant farms (sheep and goat). The final NAIA method involves the calculation of 133 variables, which are assigned to one of 20 indicators that are integrated into three dimensions, see Table 1. All the information about the original tool and its indicators is available at https://neiker.eus/en/patents-and-varieties/.
Economic | Social | Environmental | |
---|---|---|---|
Indicators | Profitability (8) | Employment Characteristics (7) | Livestock/Surface balance (5) |
Autonomy (6) | Employment creation (4) | UAAa used and management (7) | |
Diversification and risk (6) | Life quality (5) | Soil nutrients balance (8) | |
Cost structure (4) | Employment quality (17) | Effluents management (4) | |
Stability (3) | Animal Welfare (9) | Natural resources and diversity (7) | |
Traditional systems and landscapes (8) | Energy (7) | ||
Product quality and proximity (9) | Emissions (4) | ||
Gender (5) |
NAIA method: Dimensions, indicators, and variables.
Utilized agricultural area (UAA), is the total area taken up by arable land, permanent grassland, permanent crops and kitchen gardens used by the holding, regardless of the type of tenure or of whether it is used as a part of common land. (number of variables involved in each of the indicators).
The distribution of indicators in the NAIA method is a classical version of structural analysis that is divided into functional categories; viz., economic, social and environmental. The method was developed as a proposal for improving farms and a solution manual for institutions. Therefore, it is reasonable that it replicates that traditional scheme and focuses attention on those aspects that depend directly on livestock management and administration. The variables and indicators used in the project were adapted and organized for the construction of the MESMIS attributes.
Productivity: ability of the agro-ecosystem to provide the required level of goods and services. It is the value of the attribute in a given period.
Stability: property of the system that is in a state of dynamic equilibrium.
Adaptability: capacity to find new balances that maintain the productive potential “vis à vis” external changes. This attribute includes aspects related to the diversification of activities or technologies processes of social organization, training of human resources, and learning.
Resilience: capacity of the system to return to an equilibrium or to maintain its productive potential after suffering severe disturbances (e.g., catastrophic events, hurricanes).
Reliability: capacity of the system to maintain productivity or benefits near balance levels when facing normal environmental disturbances.
Autonomy: capacity of the system to regulate its interactions with the outside.
Equity: ability of the system to fairly distribute the benefits and costs of natural resource management intra- and inter-generationally.
The sustainability assessment is performed and is valid for the following, only:
Specific management systems in a given location and within a certain social and political context.
A previously defined spatial scale (plot, production unit, community or watershed).
A priori defined temporal scale.
The analyses presented in this paper met all of the conditions required for the results to be consistent. The selection of the indicators needed for the construction of the attributes was based on the NAIA method. Table 2 shows the relationships between the NAIA indicators and the MESMIS attributes which make the MESMIS more concrete.
Overall average | Group average | Overall average | Group average | ||
---|---|---|---|---|---|
Management system results | Environmental results | ||||
Sheep | 799 | 890 | Cost/ha x 10 (MJ) | 164.160 | 319.040 |
M2 Built | 2412 | 3013 | Net Cost x 1000 (MJ) | 6.665.000 | 8.236.000 |
M2 /sheep | 3.15 | 3.16 | CO2/ha (Kg Eq CO2) | 17.223 | 39.123 |
AWU | 3.66 | 4 | Milk quality | ||
Family AWU | 2.33 | 2 | Protein (%) | 5.6 | 5.41 |
UAA (ha) | 68.66 | 32 | Fat (%) | 7 | 6.92 |
Own UAA (ha) | 17.33 | 14 | Omega 6 / Omega 3 | 4.8 | 5.98 |
External UAA (ha) | 51.66 | 18 | CLA | 0.66 | 0.61 |
UAA /sheep (ha/sheep) | 0.08 | 0.03 | Alfa-tocopherol | 102.42 | 70.57 |
Communal Ha | 308.33 | 0 | Retinol | 63.58 | 58.07 |
Economic results | Somatic cells | 1,042.84 | 985.34 | ||
Income | 240.43 | 298.56 | Life and work quality | ||
Capital | 378.07 | 437 | Life quality | 3.12 | 2.8 |
Direct expenses | 129.94 | 201.14 | Work quality | 3 | 2.2 |
Indirect expenses | 132.1 | 100.29 | AWU: Agrarian Work Unit | ||
Gross margin | 149.73 | 116.5 | UAA: Utilized agricultural area | ||
Net margin | 17.63 | 16.21 |
Characteristics of intensive farms.
Annual work unit (AWU) is the full-time equivalent employment, i.e. the total hours worked divided by the average annual hours worked in full-time jobs in the country. One annual work unit corresponds to the work performed by one person who is occupied on an agricultural holding on a full-time basis.
Cost/ha x 10 (MJ) are the direct and indirect energy costs per hectare expressed in megajoules, calculated according to the formulas of [12].
Net Cost x 1000 (MJ) are the direct and indirect energy costs minus the energy inputs derived from the production of lambs and milk expressed in megajoules, calculated according to the formulae of [12].
CO2/ha (Kg CO2 Eq) are the greenhouse gas emissions expressed in kilograms of CO2 equivalent and calculated according to the formulae of [12].
In the NAIA and MESMIS adaptation, two attributes have been merged into other categories as follows:
Resilience has been merged with Adaptability based on the understanding that the possibility of finding a balance again includes the development of a scenario that is consistent with a previous safe and reliable scenario.
Reliability has been merged with Stability and Productivity because an adequate combination of the two provides a strong economic balance “vis à vis” disturbances in the system.
Thus, the proposed MESMIS scheme is organized around the following five attributes: Productivity, Stability, Adaptability, Autonomy, and Equity (see Table 6 and Table 7 (bis) of the appendice).
The graphical representations of the results were radial graphs (amoebas). The optimal value for each indicator is the maximum value in the NAIA Tool tables. The maximum and minimum values are the absolute values of the Castilla y León’s sample (17 farms). To create each graph, the origin of the data was transformed into a range from 0 to 10. Thus, the system that is closest to the optimum for each indicator can be identified. For negative values (i.e., Net Margin), We used mathematical distance to the optimum, therefore, the segment represents the distance to the optimum of either a positive or a negative value.
To identify the strengths and weaknesses of the management systems and to provide suggestions for improving their sustainability, the information on the attributes was evaluated globally and by the management system.
Similarities in the performance of the three types of management (semi-intensive, intensive, and semi-extensive) were evaluated based on the indicators of each of the attributes. The method involved following two tests: a) Shapiro-Wilks normality test (normality test for a sample size <50), which establishes the null hypothesis that a sample came from a normally distributed population, and b) the t-Student test for normal samples and the Kruskal-Wallis (H) non-parametric test for non-normal samples. The results will indicate whether the three types of management for each of the indicators of the attributes has similar performances. The null hypothesis was that the three groups analyzed did not show differential behavior in a given indicator (significance level 0.05).
Farms were selected based on the knowledge of technicians who worked in this region and the aim was to obtain a sample that was representative of the dairy sheep systems in Castilla y León, which is a landlocked region in the northwestern of the Iberian Peninsula (Figure 1). It has an area of 94,225 km2 (12% of Spain) and is the largest Spanish region. In 2019, there were 2,689,415 sheep (17.4% of the national total) which made it the Community that had the highest concentration of sheep in Spain.
Map of Castilla y León.
In that project, an initial classification of management systems was based on four types of farms based on seven discriminating variables, which were analyzed by a Multinomial Logistic Regression model. An instrument was developed to estimate the probability that a farm belonged to one of the four defined groups based on the scheme shown in Figure 2.
Typification variables and farm typology.
Once the model was applied to the sample of Castilla y León, it indicated that none of the farms in the sample from Castilla y León fell into the pure extensive group: The distribution of the 17 farms is shown in Figure 3.
Distribution of farms among typified groups.
Farms in the intensive group had an average of Utilized Agricultural Area (UAA) of 32 ha (see Table 2) and the animals did not use plant resources directly. The average agricultural area per adult ewe was 0.03 ha/ovine, which was 62% less than the average of all farms. On average, flocks had 890 adult ewes. The average total income per ewe was 298.56 euros. Capital endowments per ewe were 437 euros, which was higher than the overall average. Direct expenses per ewe were 54% higher than was the average of all farms (201.14 vs. 129.94). The gross margin per ewe was 116.50 euros (33% less than the overall average).
That group of farms has activities that require high energy efforts and emit large amounts of greenhouse gases, which is similar to the results obtained in previous studies [12] who found that the highest carbon footprint indicators occurred in farms that had management systems that were dependent on high consumption of external inputs. Milk from intensive farms had the lowest protein and fat-soluble vitamin content among the three groups. The data indicated an unhealthy lipid profile, which was due to the low proportion of green pasture in the diet. Furthermore, the group had the lowest somatic cell concentrations of the three groups. At the start of the project, a survey on the social conditions linked to each of the farms indicated that the farmers in this group had an average perception of life quality of 2.8, and a work quality of 2.20, which indicated an overall dissatisfaction that was lower than was the overall average.
Semi-intensive farms had an average UAA of 68 ha (see Table 3), which was similar to the average of all farms. Two farmers use communal pastures, which had an average of 160 ha. The agricultural area per adult ewe was 0.08 ha. They had built facilities that were, on average 2,214 m2, that is, 2.8 m2 per adult animal, which is slightly lower than the average of all the farms. Average Total income per ewe was 255.96 euros. The investments made on the farm were 366.68 euros per ewe, with an inverse relationship between the intensification of production and the endowments of the capital factor per productive unit. Direct expenses per sheep were significantly lower than was the average for all farms. Indirect costs were 29% higher than was the average for all farms. The gross margin per sheep was 200.06, and the net margin was 128% higher than was the overall average.
Overall average | Group average | Overall average | Group average | ||
---|---|---|---|---|---|
Management system results | Environmental results | ||||
Sheep | 799 | 824 | Cost/ha x10 (MJ) | 16.416 | 11.908 |
M2 Built | 2412 | 2214 | Net Cost x 1000 (MJ) | 6.665 | 6.392 |
M2 /sheep | 3.15 | 2.8 | CO2/ha (Kg Eq CO2) | 17.223 | 7.994 |
AWU | 3.66 | 4 | Milk quality | ||
Family AWU | 2.33 | 2 | Protein (%) | 5.6 | 5.51 |
UAA (ha) | 68.66 | 68 | Fat (%) | 7 | 6.82 |
Own UAA (ha) | 17.33 | 27 | Omega 6 / Omega 3 | 4.8 | 5.15 |
External UAA (ha) | 51.66 | 41 | CLA | 0.66 | 0.65 |
UAA /sheep (ha/sheep) | 0.08 | 0.08 | Alfa-tocopherol | 102.42 | 75.63 |
Communal Ha | 308.33 | 160* | Retinol | 63.58 | 60.33 |
Economic results | Somatic cells | 1,042.84 | 1,119.59 | ||
Income | 240.43 | 255.96 | Life and work quality | ||
Capital | 378.07 | 366.68 | Life quality | 3.12 | 3.17 |
Direct expenses | 129.94 | 111.94 | Work quality | 3 | 2.83 |
Indirect expenses | 132.1 | 171.05 | * two farmers | ||
Gross margin | 149.73 | 200.06 | |||
Net margin | 17.63 | 29 |
Characteristics of semi-intensive farms.
Those farms are energy-intensive, although less so than the overall average, and emit moderate amounts of greenhouse gases, similar to the amounts reported by previous studies [12]. Milk from those farms had protein and vitamin levels that were close to the overall average. Fat levels were the lowest and somatic cell content was highest among the three groups. Those farms reported a higher-than-average life quality and a lower than average work quality.
Semi-extensive farms had a UAA of 106 ha (see Table 4). Those were farms in which the animals made more daily use of plant resources than did the other groups. The agricultural area per adult sheep was 87% higher than the average of all farms. On average, there were 685 adult sheep and facilities built to provide 3.5 m2/ewe, which was the highest average available area of all the farms. The total income per sheep was significantly (63.2%) lower than the average. The amount of direct expenses incurred on the farms was half of the overall average. Indirect costs were below the group average. The gross margin was slightly less than was the group average. The net margin was 32.3% of the overall result.
Overall average | Group average | Overall average | Group average | ||
---|---|---|---|---|---|
Management system results | Environmental results | ||||
Sheep | 799 | 685 | Cost/ha x 10 (MJ) | 16.416 | 3.242 |
M2 Built | 2412 | 2009 | Net Cost x 1000 (MJ) | 6.665 | 5.106 |
M2 /sheep | 3.15 | 3.5 | CO2/ha (Kg Eq CO2) | 17.223 | 2.018 |
AWU | 3.66 | 3 | Milk quality | ||
Family AWU | 2.33 | 3 | Protein (%) | 5.6 | 5.93 |
UAA (ha) | 68.66 | 106 | Fat (%) | 7 | 7.31 |
Own UAA (ha) | 17.33 | 11 | Omega 6 / Omega 3 | 4.8 | 2.96 |
External UAA (ha) | 51.66 | 96 | CLA | 0.66 | 0.73 |
UAA /sheep (ha/sheep) | 0.08 | 0.15 | Alfa-tocopherol | 102.42 | 172.79 |
Communal Ha | 308.33 | 521 | Retinol | 63.58 | 74.11 |
Economic results | Somatic cells | 1,042.84 | 1,119.74 | ||
Income | 240.43 | 152.05 | Life and work quality | ||
Capital | 378.07 | 321.04 | Life quality | 3.12 | 3.2 |
Direct expenses | 129.94 | 66.1 | Work quality | 3 | 3.6 |
Indirect expenses | 132.1 | 123.52 | |||
Gross margin | 149.73 | 129.21 | |||
Net margin | 17.63 | 5.69 |
Characteristics of semi-extensive farms.
Those farms required less energy and emitted less greenhouse gases than did the other groups, similar results were obtained in previous studies [12]. Milk produced in semi-extensive farms had the highest protein, fat, and vitamin content levels. The lipid profile was the healthiest of the three types of farms. Milk from these farms had the highest vitamin content. The somatic cell content was close to the overall average. Life and work quality were higher than the overall average.
The Productivity attribute is related to the economic performance of the farms and their capacity to generate goods and services, and comprises 12 indicators, the results of which are shown in Figure 4.
Productivity attribute of typified groups.
The productivity attribute had a logical pattern determined by the different production systems, and the most extensive farms had the best results in the indicators directly related to environmental protection, as follows:
They were the most efficient in the use of direct and indirect energy.
They had the highest values regarding phytosanitary pressure, defined as the proportion of the UAA that is treated with this type of products, which indicates that this system did not use this type of supplement in the farm’s agricultural tasks.
They opt for the use of organic matter as a means to provide nutrients to the soil. The group had an average of 100% of its UAA that was treated with organic matter.
Regarding the economic indicators, these farms required the lowest volume of milk production to achieve the reference income in the sector, and had the highest gross margin without subsidies.
The most intensive systems had those that obtained the highest value in the carbon footprint relative to the total kg of milk produced and to the net margin. That relationship is precisely what made this good result possible because these farms produce the highest volumes of milk and those that achieve the highest net margin per liter and per family work unit. Those economic results clearly verify their productivity vocation.
The weight of the capitalization, which is the importance of the structure to production, for this type of farm was lower than that of the other types. This concept is the ratio between the indirect expenses borne by the activity and the gross production, and, by obtaining higher production volumes, this expense is diluted. In addition, those farms were at the extreme of the values obtained in the livestock use of sown pastures because they did not use this means of production. On average, semi-intensive and extensive farms used 5.6% and 13.6% of the UAA in that manner, respectively.
The semi-intensive group occupied an intermediate position in almost all of the indicators, and obtained was optimal in the result of labor income per work unit, only, which aims to measure the remuneration of total labor (family and salaried) after deducting the capital opportunity costs.
The Stability attribute reflects the farm’s capacity for innovation and its commitment to the environment (Figure 5).
Stability attribute of typified groups.
The results of the stability attribute were highest in the semi-extensive group.
Those farms showed the lowest importance of the costs that have financial risk, which are those affected by the interest on loans and those payable in the short term.
They had the lowest amounts of nitrogen excreted per unit of UAA.
They had the best slurry and manure pit management. All were professional farms that were used by the owner, exclusively with dedication.
They had the best prospects regarding the possible continuation of the activity, possibly, because they had the highest proportion of family labor.
Those farms reported the highest work quality.
In aspects of grazing, such as the availability of sheepfolds, grazing of reproductive cattle and adequate grazing, the semi-extensive group had the highest scores.
In aspects of stabling, such as the availability of >10 m2 per livestock unit, the availability of free stall areas, bedding care and cleanliness, the maintenance of an adequate temperature and protection, and the availability of sufficient watering and feeding troughs, the semi-extensive group had the highest scores, together with the intensive group, among the three groups.
Farms in the intensive group, which had the largest herds, and more production units, had the best weight of the farm’s structure on each livestock unit, following in the wake of the productivity attribute. Those farms also have the best efficiencies between nitrogen and phosphate farm outputs and inputs. They were the least aged farms, and mechanization gave them more free time, although they reported a low work quality. The semi-intensive group, as in the previous attribute, is positioned in the intermediate between the extremes marked other groups.
The Adaptability attribute reflects the flexibility of farms and their ability to adapt to a changing environment, and was the attribute in which the typified groups were most divergent (Figure 6).
Adaptability attribute of typified groups.
The semi-extensive group had the best values for the following four attributes:
Those were the farms that, according to the technician and the owner of the farm, had the highest diversification of their customers, which gave them the highest commercial independence.
They had the farmers with the lowest stocking density per hectare of UAA.
They had the most sustainable management in the area because they used techniques such as crop rotation or association, improvement of natural pastures, use of composting, fallow land, and integrated pest control.
Most used native breeds, which have been selected for their hardiness and are committed to maintaining the genetic diversity of the breed.
Farmers in the intensive group were those who had participated the most in training activities and those who felt that the work that they performed on the farm was the least arduous. To carry out strenuous tasks they had machinery at their disposal, which Meant that they had fewer muscular or skeletal problems. In addition, they had not had any significant work accidents, they had pre-established routines, and valued not having a boss.
The semi-intensive group had the most efficiency in the use of indirect energy and they were the most diversified in the products they produced, which allowed them to be less influenced by the volatility of milk prices as their main product.
The Autonomy attribute reflects the degree of self-management of costs and the area devoted to self-consumption (Figure 7).
Autonomy attribute of typified groups.
In the Autonomy attribute, the semi-extensive group had the best values for seven indicators:
Its farmers had the highest food autonomy, the process of re-employment of their agricultural productions gave them independence and self-management in the structure of animal feeding.
They had the highest labor autonomy because their workforce was mostly family labor.
They had the highest ratio of direct and indirect costs and the average price received for each liter of milk produced, probably because of the previously described process of food autonomy.
They were the farms that used communal and permanent pastures for livestock feeding the most.
In their marketing, they mostly used cooperative sales or short channels, which should have given them more marketing autonomy, but they did not feel that was the case, as is shown in the corresponding indicator.
Farms in the intensive group were the least independent on aid and subsidies. The process of production intensification produced the most stable distribution of work throughout the year because of the planning of the lambing periods.
The semi-intensive group had the best food energy balance and had the highest perception of autonomy in the management and marketing of their products, even though they were in an intermediate position within the systems they use, which means that they are mostly subordinate to industries and cooperatives. The level of work concentration was similar to that of the intensive group.
Farmers in all groups felt that they had autonomy in making decisions on the techniques and production methods that they used on their farms.
The Equity attribute reflects the social and environmental function of the farm, its commitment to the deterioration of the environment, and the gender perspective in farm management (Figure 8).
Equity attribute of typified groups.
In the Equity attribute, the semi-extensive group had the one that obtained the best values in 10 of the 15 indicators.
Semi-extensive farms had high natural value elements.
They had the best results in carbon footprint per unit of productive factor (land and labor), which allows them to compensate for the poor Productivity attribute.
They mostly practiced organic production, which caused them to use genetically modified organism-free food and even have productions with other quality labels.
The semi-extensive group had the highest rate of feminization in their workforce and there was gender equity in the training processes. Women on those farms are the ones who reported the best life quality.
The intensive group had the most results in the presence of diverse ecosystems in their farms, which gave them a high biological richness, and had the lowest area managed per work unit, which is consistent with the management system to which it refers. In addition, that group had women in the best legal and working conditions, slightly higher than that of the semi-extensive group.
The semi-intensive group stands out because its farms were either associations or farms that had shared ownership, were jointly managed, and shared not only the work on the farm but also the decisions, rights, quotas, and subsidies, and had the highest for the participation of women in the farm decisions.
The Semi-Extensive group had the best Stability, Adaptability, Equity, and Autonomy, which is reflected in an almost perfect pentagon (see Figure 9). The Intensive group had the group with the highest productivity.
Global MESMIS of typified groups.
From the results, we have drawn the following conclusions:
Productivity: This is the only attribute in which the Semi-Extensive group was penalized. Which is consistent with the existing studies that has confirmed the productivity theory that underlies management closer to intensification of production.
Stability: In this attribute, the Semi-Extensive group has the best values in 10 of the 15 indicators, and scores 9.05 out of 10 at this pentagon vertex. The Semi-Intensive group had the lowest score. The Intensive group had the best scores in seven indicators and, overall, it slightly exceeded that of the Semi-intensive group, but was some distance from the Semi-extensive group.
Adaptability: The Semi-Extensive group had the highest overall score (7.94) and had the highest value in four indicators. The Semi-intensive (5.63) and Intensive (6.09) groups had much lower scores. These poor results which compromised the possibilities of finding new balances that will maintain their productive capacity vis a vis of external changes.
Autonomy: The number of indicators in which the maximum was reached was very homogeneous among the groups. Overall, the Semi-Extensive group had the highest score (8.40). This data determines, which indicates that this group has the one that shows the highest capacity to control interactions with the outside world based on its priorities, objectives, and endogenous values. The other two groups had very similar scores (7.07 and 7.19).
Equity: The Semi-Extensive group had the highest overall score (8.55), and was placed in the highest value in 10 indicators. The other two groups had very similar scores; the Semi-intensive group did not achieve a satisfactory score and the intensive group exceeded it slightly. Thus, the Semi-Extensive group was the most responsible in inter- and intra-generational terms, which indicated greater continuity between present and future.
The results of the statistical assessment of the similarities in the behaviors of the three management systems regarding the indicators of each attribute are presented in the appendix tables. The equity attribute consists of 11 indicators, for the statistical analysis these have been reduced to six by eliminating the dichotomous indicators. Thus the indicators incorporated for the statistical analysis are: Natural habitats within the farm; Other features of high nature value; t-CO2 equivalent/Ha; t-CO2 equivalent/WU; Land use; Feminisation rate.
Table 8-appendix presents the results of the normality test. Equity is the attribute that presents a normal distribution (p > 0.05), so the t-test is used to check for similarities or discrepancies in the indicators that make up this attribute.
For the attributes of productivity, stability, adaptability and autonomy, the null hypothesis was rejected (p < 0.05), which determined the need to opt for the non-parametric H test to detect possible divergences in the behavior of the three systems analyzed.
The results of the H-test for the four attributes (Table 9-appendix) are summarized in Figure 10, the main differences detected per attribute are:
Adaptability attribute: this attribute presents 63% of differential indicators, which are directly related to management of autochthonous breeds, hardness in the work; diversification of customers; average annual stocking rate (Livestock Unit/ ha Cultivable Area); Sustainable management of the cultivable area; autochthonous race; hardness of work (farmer’s opinion) (Absence of hardness in the work).
Productivity attribute: 25% of the indicators show a differential behavior, and logically linked to the productive structure of the farms: importance of structure over production; receiving area of organic matter (% CU) and t-CO2-Equivalent / kg. Milk.
Stability attribute: two differences detected in the indicators “importance of costs with volatility risk” and “grazing”, representing 13% of the total indicators of the attribute.
Autonomy attribute: the differential behavior is detected in the food autonomy indicator, which represents 7% of the total indicators of this attribute.
Indicators for each attribute that had differential behavior (%).
In short, the main differences are detected in indicators clearly related to the characteristics of each management system.
The results of the t-test (Table 10-appendix) for the indicators of the equity attribute show that the main differences are in the indicators related to sustainability, e.g. t-CO2 equivalent/Ha. The rest of the differences between management types are in issues related to gender and social involvement of the farms, which undoubtedly opens a positive way towards the concept of sustainability from a social perspective.
The results of Figure 9 are reflected in Figure 10, which statistically validates the results of the MESMIS method.
The attribute information shows that the production units of the most intensive system were the most productive. That said, the Semi-Extensive system performed well, and had an overall score of 8.21. That group was more sustainable than were the intensive systems in all attributes, especially those related to stability, adaptability, and equity.
The Semi-Extensive system responds most comprehensively to the maintenance of a living, articulated, and sustainable natural and rural environment. After the application of the proposed methods, it can be concluded that the initial typification, which was based on seven management indicators, is valid, because three groups that have very specific behaviors have been defined and confirmed by previous studies and experience.
Extensive livestock farming has characteristics [13] that were reflected in the indicators in our study:
Extensive farming produces high-quality food products; e.g., the analysis of milk quality.
It allows the use and preservation of ecosystems of high ecological and environmental value, such as “dehesas” and mountain pastures, which is reflected in the environmental indicators.
It takes advantage of areas such as fallow land, stubble, mountain pastures, and grazing wasteland, which would be difficult to make better use of, which is reflected in the land use indicators.
In areas that have arid or semi-arid climates, sheep, through traditional practices (grazing, “redileo”), make a contribution to increasing organic matter and preserving the vegetation cover of the poorest soils.
It contributes to mitigating climate change and promotes branch grazing by the herd, which is an effective means of controlling shrub proliferation and preventing fires.
It contributes to fixing the population and maintaining the social network in large regions that lack any other possible productive alternatives because of the difficult nature of the environment, which is reflected in the social indicators.
Other local economic sectors derive directly or indirectly from its activity; e.g., food processing industries, handicrafts, tourism, and hotels, which depend on the maintenance of the landscapes and ecosystems that extensive livestock farming promotes, in addition to the products generated directly.
They are the only feasible and productive activity that can sustain the important diversity of livestock breeds that are still preserved in southern Europe, which is reflected in the indicator of native breeds.
This is the most ethical way to manage livestock because it allows the animals to experience a situation of semi-freedom in the open air, respecting the growth rate and living conditions of each species, which is reflected in the grazing ratios.
It is a very adequate management for the resources derived from the environmental benefits it generates, which are reflected in the energy balances.
Collectively, that information indicates that this is one of the few productive human economic activities that can be truly sustainable. All of those characteristics make it necessary to treat each system individually, and to propose specific measures to promote this type of activity, which renounces some of its profitability for the sake of improving the common good; it must be economically assessed for the positive externalities it generates and its intra- and intergenerational commitment must be rewarded.
The structure of the farms and their relationships with the environment and the surrounding community are essential for the development of their activity and help in solving problems and the self-management of the productive unit because they allow the exchange of information and knowledge, the support management, and training. Generally, an increase in organizational capacity and a greater adaptation of economic, social and environmental structures would be desirable to encourage a transition towards more sustainable management.
Based on an individual analysis of each attribute the following improvement proposals are suggested:
The Semi-Extensive group had the worst economic indicators that involve Net Margin, but not with those that involve Gross Margin, which suggests that this group has to adapt its fixed costs and the structure size to the economic dimension of its income, and especially to the size of its herds, because it is smaller than they are for the other two productive groups. Intensive farming seems to have a cost structure that is adequate for the economic dimension of its activity, even though this type of management requires more investment, but, in the cases studied, it seemed to be appropriate for the real needs of the herd.
In the case of the environmental indicators, the intensive and semi-intensive groups should make the necessary adjustments to increase their sustainability in this attribute. Intensification processes use environmentally unsound practices. Those types of farms depend on distant resources, which increases the carbon footprint and the energy costs needed for their activity. That said, because their output volumes are much higher, their carbon footprint per unit produced or per net margin is lower; however, in the context of other types of variables such as Work Units or has handled, the results are very different (see Table 5) and indicate a need to transform their production methods.
Systems | Intensive | Semi-Intensive | Semi-Extensive |
---|---|---|---|
Kg CO2/ Ha | 37.720,45 | 6.706,59 | 1.633,57 |
Kg CO2/ Work Unit | 221.619,65 | 136.909,93 | 96.763,76 |
kg CO2/l Milk | 1,90 | 2,56 | 4,40 |
Carbon footprint of the different systems.
In this attribute, the Semi-Intensive group had the worst results, both in social and animal welfare indicators, which suggests that farms in this group need to reconfigure management structure and work structure towards a model that provides a more adequate temporal horizon.
In this attribute, the intensive group has seriously jeopardized the diversification of its clients, and is extremely vulnerable to fluctuations in it. In UAA and breed management, changes are much more difficult because of the structure of its management system; however, if this idea is combined with Stability regarding the indicator that reflects the opinion of the farmer about life quality, in which the Semi-Extensive group approaches the maximum, it can be concluded that this more intense work does not reduce the quality, so the effect is relativized, although this does not diminish the need to lighten the workload. In addition, farms in the Semi-Intensive group must revise training to incorporate advances that improve farm management.
The aggregate results are similar. The Semi-Extensive group needs to improve its economic structure; in this case, financial risk and dependence on subsidies are the critical points. The Intensive group needs to improve its marketing systems by expanding its sales channels to allow greater independence and process management. Finally, both this and the Semi-Intensive groups have the option to improve the food sustainability of the farm by their use of pastures.
The Semi-Extensive group had excellent results, but the other two groups must make a significant improvement in this attribute, especially in gender-related issues and the women’s perception of the satisfaction they derive from the work they perform on the farm.
We would like to thank the farmers for their collaboration in the work.
We would licke to thank the support of the Research Group “Multidisciplinary Proposals on Plant Ecosystems” (PROMUEVE) of the University of Leon.
1.-Productivity | 2.-Stability | 3.- Adaptability |
---|---|---|
1. Net Margin/Family AWU* | 13. Structure importance on LSU | 28. Production diversification |
2.Labor income/AWU | 14. Importance of costs with volatility risk | 29. Client’s diversification |
3. Net Margin/liter | 15. Nitrogen quantity from the excrement (kg N/ha UAA) | 30. Average annual stocking rate (LSU/ ha. UAA) |
4. Gross margin without subsidies/sales | 16. N efficiency | 31. Sustainable management of the UAA |
5. Importance of the structure on the production | 17. P2O5 efficiency | 32. Local livestock breeds |
6. Temporal pasture (% of land for livestock use) | 18. Capacity of slurry pits and manure pits | 33. Energetic efficiency. Direct energy |
7. Phytosanitary pressure (has treated/has. de UAA) | 19. Professionalism | 35. Training activities participation |
8. Land provided with organic matter (% UAA) | 20. % AWU < 40 years | 36. Hardness of the work (farmer’s opinion) (Absence) |
9. Total energy efficiency (Direct+Indirect energy) | 21. Continuity | |
10. t-CO2-Equivalent / Net margin | 22. Family agriculture (%Family AWU) | |
11. t-CO2-Equivalent / kg milk | 23. Free time availability | |
12. Liters required for Reference Rent | 24. Farmer’s assessment of life quality | |
25. Frequency of livestock visits | ||
26. Regarding grazing | ||
27. Regarding stabling |
NAIA-MESMIS correspondence.
4.- Autonomy | 5.-Equity |
---|---|
37. Subsidies autonomy | 51. Natural habitats within the farm |
38. Feeding autonomy | 52. Ecotones |
39. Labor autonomy | 53. Other elements of high natural value |
40.Financial risk | 54. t-CO2-Equivalent / Ha |
41. Cost and Price of the main product | 55. t-CO2-Equivalent / AWU |
42. Feeding autonomy | 57. Social economy |
43. Use of common or other natural pastures | 58. Land occupation (SPG/AWU) |
44. Permanent pasture (% area under livestock use) | 60. It makes certified organic production |
45. Subsidies dependence/autonomy | 61. It has other quality certifications |
46. Autonomy in production techniques and modes of production | 62. It uses GMO-free feed |
47. Autonomy in product marketing | 56. Feminization index |
48. Level of work concentration | 63. Legal and labor situation of women |
49. Complementary activities | 64. Gender gap in volunteer continuing education |
50. Commercialization method | 65. Women’s participation in technical-productive decision making |
67. Degree of women’s life satisfaction |
(bis): NAIA-MESMIS correspondence.
Semi-intensive (n1 = 6);Intensive (n2 = 6); Semi-Extensive (n3 = 5) | |
---|---|
Attribute | Shapiro-Wiks |
Productivity | W = 0.758 (p = 0.001) |
Stability | W = 0.709 (p = 0.000) |
Adaptability | W = 0.880(p = 0.032) |
Autonomy | W = 0,648 (p = 0,000) |
Equity | W = 0,916 (p = 0,127) |
Normality test.
PRODUCTIVITY | H (Kruskal-Wallis) | p-value |
---|---|---|
Importance of structure over production | 8,459 | 0,015 |
Receiving area of organic matter (% CU) | 10,908 | 0,004 |
t-CO2-Equivalent / kg. milk | 8,348 | 0,015 |
STABILITY | H (Kruskal-Wallis) | p-value |
Importance of costs with volatility risk. | 7,607 | 0,022 |
Grazing | 7,138 | 0,028 |
ADAPTABILITY | H (Kruskal-Wallis) | p-value |
Diversification of customers | 7,183 | 0,028 |
Average annual stocking rate (Livestock Unit/ ha Cultivable Area) | 12,084 | 0,002 |
Sustainable management of the cultivable area | 7,022 | 0,030 |
Autochthonous Race | 12,041 | 0,002 |
Hardness of work (farmer’s opinion) (Absence of hardness in the work) | 8,126 | 0,017 |
AUTONOMY | H (Kruskal-Wallis) | p-value |
Food autonomy | 9,613 | 0,008 |
H-test for productivity attribute indicators.
t | p-value | |
---|---|---|
Semi-intensive/ Intensive | ||
t-CO2 equivalent / Ha | −2,805 | 0,019 |
Land use | 2,706 | 0,022 |
Semi-intensive/Semi-extensive | ||
Natural habitats within the farm | −4,393 | 0,002 |
t-CO2 equivalent / Ha | 3,987 | 0,003 |
Feminization rate | −2,940 | 0,016 |
Semi-extensive/Intensive | ||
Natural habitats within the farm | −3,527 | 0,006 |
Other features of high nature value | −4,523 | 0,001 |
t-CO2 equivalent / Ha | 2,968 | 0,016 |
t-CO2 equivalent / WU | 3,089 | 0,013 |
t-test for equity attribute indicators.
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\n'}]},successStories:{items:[]},authorsAndEditors:{filterParams:{},profiles:[{id:"396",title:"Dr.",name:"Vedran",middleName:null,surname:"Kordic",slug:"vedran-kordic",fullName:"Vedran Kordic",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/396/images/7281_n.png",biography:"After obtaining his Master's degree in Mechanical Engineering he continued his education at the Vienna University of Technology where he obtained his PhD degree in 2004. He worked as a researcher at the Automation and Control Institute, Faculty of Electrical Engineering, Vienna University of Technology until 2008. His studies in robotics lead him not only to a PhD degree but also inspired him to co-found and build the International Journal of Advanced Robotic Systems - world's first Open Access journal in the field of robotics.",institutionString:null,institution:{name:"TU Wien",country:{name:"Austria"}}},{id:"441",title:"Ph.D.",name:"Jaekyu",middleName:null,surname:"Park",slug:"jaekyu-park",fullName:"Jaekyu Park",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/441/images/1881_n.jpg",biography:null,institutionString:null,institution:{name:"LG Corporation (South Korea)",country:{name:"Korea, South"}}},{id:"465",title:"Dr.",name:"Christian",middleName:null,surname:"Martens",slug:"christian-martens",fullName:"Christian Martens",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Rheinmetall (Germany)",country:{name:"Germany"}}},{id:"479",title:"Dr.",name:"Valentina",middleName:null,surname:"Colla",slug:"valentina-colla",fullName:"Valentina Colla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/479/images/358_n.jpg",biography:null,institutionString:null,institution:{name:"Sant'Anna School of Advanced Studies",country:{name:"Italy"}}},{id:"494",title:"PhD",name:"Loris",middleName:null,surname:"Nanni",slug:"loris-nanni",fullName:"Loris Nanni",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/494/images/system/494.jpg",biography:"Loris Nanni received his Master Degree cum laude on June-2002 from the University of Bologna, and the April 26th 2006 he received his Ph.D. in Computer Engineering at DEIS, University of Bologna. On September, 29th 2006 he has won a post PhD fellowship from the university of Bologna (from October 2006 to October 2008), at the competitive examination he was ranked first in the industrial engineering area. He extensively served as referee for several international journals. He is author/coauthor of more than 100 research papers. He has been involved in some projects supported by MURST and European Community. His research interests include pattern recognition, bioinformatics, and biometric systems (fingerprint classification and recognition, signature verification, face recognition).",institutionString:null,institution:null},{id:"496",title:"Dr.",name:"Carlos",middleName:null,surname:"Leon",slug:"carlos-leon",fullName:"Carlos Leon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Seville",country:{name:"Spain"}}},{id:"512",title:"Dr.",name:"Dayang",middleName:null,surname:"Jawawi",slug:"dayang-jawawi",fullName:"Dayang Jawawi",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Technology Malaysia",country:{name:"Malaysia"}}},{id:"528",title:"Dr.",name:"Kresimir",middleName:null,surname:"Delac",slug:"kresimir-delac",fullName:"Kresimir Delac",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/528/images/system/528.jpg",biography:"K. Delac received his B.Sc.E.E. degree in 2003 and is currentlypursuing a Ph.D. degree at the University of Zagreb, Faculty of Electrical Engineering andComputing. His current research interests are digital image analysis, pattern recognition andbiometrics.",institutionString:null,institution:{name:"University of Zagreb",country:{name:"Croatia"}}},{id:"557",title:"Dr.",name:"Andon",middleName:"Venelinov",surname:"Topalov",slug:"andon-topalov",fullName:"Andon Topalov",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/557/images/1927_n.jpg",biography:"Dr. Andon V. Topalov received the MSc degree in Control Engineering from the Faculty of Information Systems, Technologies, and Automation at Moscow State University of Civil Engineering (MGGU) in 1979. He then received his PhD degree in Control Engineering from the Department of Automation and Remote Control at Moscow State Mining University (MGSU), Moscow, in 1984. 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He is the author of several scientific articles, book chapters, and books.",institutionString:"University of Hassan II Casablanca",position:null,outsideEditionCount:0,totalCites:0,totalAuthoredChapters:"7",totalChapterViews:"0",totalEditedBooks:"2",institution:{name:"University of Hassan II Casablanca",institutionURL:null,country:{name:"Morocco"}}},equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"7060",title:"Gingival Disease",subtitle:"A Professional Approach for Treatment and Prevention",coverURL:"https://cdn.intechopen.com/books/images_new/7060.jpg",slug:"gingival-disease-a-professional-approach-for-treatment-and-prevention",publishedDate:"October 23rd 2019",editedByType:"Edited by",bookSignature:"Alaa Eddin Omar Al Ostwani",hash:"b81d39988cba3a3cf746c1616912cf41",volumeInSeries:4,fullTitle:"Gingival Disease - A Professional Approach for Treatment and Prevention",editors:[{id:"240870",title:"Ph.D.",name:"Alaa Eddin Omar",middleName:null,surname:"Al Ostwani",slug:"alaa-eddin-omar-al-ostwani",fullName:"Alaa Eddin Omar Al Ostwani",profilePictureURL:"https://mts.intechopen.com/storage/users/240870/images/system/240870.jpeg",institutionString:"International University for Science and Technology.",institution:{name:"Islamic University of Science and Technology",institutionURL:null,country:{name:"India"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"7572",title:"Trauma in Dentistry",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7572.jpg",slug:"trauma-in-dentistry",publishedDate:"July 3rd 2019",editedByType:"Edited by",bookSignature:"Serdar Gözler",hash:"7cb94732cfb315f8d1e70ebf500eb8a9",volumeInSeries:3,fullTitle:"Trauma in Dentistry",editors:[{id:"204606",title:"Dr.",name:"Serdar",middleName:null,surname:"Gözler",slug:"serdar-gozler",fullName:"Serdar Gözler",profilePictureURL:"https://mts.intechopen.com/storage/users/204606/images/system/204606.jpeg",institutionString:"Istanbul Aydin University",institution:{name:"Istanbul Aydın University",institutionURL:null,country:{name:"Turkey"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"7139",title:"Current Approaches in Orthodontics",subtitle:null,coverURL:"https://cdn.intechopen.com/books/images_new/7139.jpg",slug:"current-approaches-in-orthodontics",publishedDate:"April 10th 2019",editedByType:"Edited by",bookSignature:"Belma Işık Aslan and Fatma Deniz Uzuner",hash:"2c77384eeb748cf05a898d65b9dcb48a",volumeInSeries:2,fullTitle:"Current Approaches in Orthodontics",editors:[{id:"42847",title:"Dr.",name:"Belma",middleName:null,surname:"Işik Aslan",slug:"belma-isik-aslan",fullName:"Belma Işik Aslan",profilePictureURL:"https://mts.intechopen.com/storage/users/42847/images/system/42847.jpg",institutionString:"Gazi University Dentistry Faculty Department of Orthodontics",institution:null}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null},{type:"book",id:"6668",title:"Dental Caries",subtitle:"Diagnosis, Prevention and Management",coverURL:"https://cdn.intechopen.com/books/images_new/6668.jpg",slug:"dental-caries-diagnosis-prevention-and-management",publishedDate:"September 19th 2018",editedByType:"Edited by",bookSignature:"Zühre Akarslan",hash:"b0f7667770a391f772726c3013c1b9ba",volumeInSeries:1,fullTitle:"Dental Caries - Diagnosis, Prevention and Management",editors:[{id:"171887",title:"Prof.",name:"Zühre",middleName:null,surname:"Akarslan",slug:"zuhre-akarslan",fullName:"Zühre Akarslan",profilePictureURL:"https://mts.intechopen.com/storage/users/171887/images/system/171887.jpg",institutionString:"Gazi University",institution:{name:"Gazi University",institutionURL:null,country:{name:"Turkey"}}}],equalEditorOne:null,equalEditorTwo:null,equalEditorThree:null}]},subseriesFiltersForPublishedBooks:[{group:"subseries",caption:"Prosthodontics and Implant Dentistry",value:2,count:3},{group:"subseries",caption:"Oral Health",value:1,count:6}],publicationYearFilters:[{group:"publicationYear",caption:"2022",value:2022,count:3},{group:"publicationYear",caption:"2020",value:2020,count:2},{group:"publicationYear",caption:"2019",value:2019,count:3},{group:"publicationYear",caption:"2018",value:2018,count:1}],authors:{paginationCount:229,paginationItems:[{id:"318170",title:"Dr.",name:"Aneesa",middleName:null,surname:"Moolla",slug:"aneesa-moolla",fullName:"Aneesa Moolla",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/318170/images/system/318170.png",biography:"Dr. Aneesa Moolla has extensive experience in the diverse fields of health care having previously worked in dental private practice, at the Red Cross Flying Doctors association, and in healthcare corporate settings. She is now a lecturer at the University of Witwatersrand, South Africa, and a principal researcher at the Health Economics and Epidemiology Research Office (HE2RO), South Africa. Dr. Moolla holds a Ph.D. in Psychology with her research being focused on mental health and resilience. In her professional work capacity, her research has further expanded into the fields of early childhood development, mental health, the HIV and TB care cascades, as well as COVID. She is also a UNESCO-trained International Bioethics Facilitator.",institutionString:"University of the Witwatersrand",institution:{name:"University of the Witwatersrand",country:{name:"South Africa"}}},{id:"419588",title:"Ph.D.",name:"Sergio",middleName:"Alexandre",surname:"Gehrke",slug:"sergio-gehrke",fullName:"Sergio Gehrke",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000038WgMKQA0/Profile_Picture_2022-06-02T11:44:20.jpg",biography:"Dr. Sergio Alexandre Gehrke is a doctorate holder in two fields. The first is a Ph.D. in Cellular and Molecular Biology from the Pontificia Catholic University, Porto Alegre, Brazil, in 2010 and the other is an International Ph.D. in Bioengineering from the Universidad Miguel Hernandez, Elche/Alicante, Spain, obtained in 2020. In 2018, he completed a postdoctoral fellowship in Materials Engineering in the NUCLEMAT of the Pontificia Catholic University, Porto Alegre, Brazil. He is currently the Director of the Postgraduate Program in Implantology of the Bioface/UCAM/PgO (Montevideo, Uruguay), Director of the Cathedra of Biotechnology of the Catholic University of Murcia (Murcia, Spain), an Extraordinary Full Professor of the Catholic University of Murcia (Murcia, Spain) as well as the Director of the private center of research Biotecnos – Technology and Science (Montevideo, Uruguay). Applied biomaterials, cellular and molecular biology, and dental implants are among his research interests. He has published several original papers in renowned journals. In addition, he is also a Collaborating Professor in several Postgraduate programs at different universities all over the world.",institutionString:null,institution:{name:"Universidad Católica San Antonio de Murcia",country:{name:"Spain"}}},{id:"342152",title:"Dr.",name:"Santo",middleName:null,surname:"Grace Umesh",slug:"santo-grace-umesh",fullName:"Santo Grace Umesh",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/342152/images/16311_n.jpg",biography:null,institutionString:null,institution:{name:"SRM Dental College",country:{name:"India"}}},{id:"333647",title:"Dr.",name:"Shreya",middleName:null,surname:"Kishore",slug:"shreya-kishore",fullName:"Shreya Kishore",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/333647/images/14701_n.jpg",biography:"Dr. Shreya Kishore completed her Bachelor in Dental Surgery in Chettinad Dental College and Research Institute, Chennai, and her Master of Dental Surgery (Orthodontics) in Saveetha Dental College, Chennai. She is also Invisalign certified. She’s working as a Senior Lecturer in the Department of Orthodontics, SRM Dental College since November 2019. She is actively involved in teaching orthodontics to the undergraduates and the postgraduates. Her clinical research topics include new orthodontic brackets, fixed appliances and TADs. She’s published 4 articles in well renowned indexed journals and has a published patency of her own. Her private practice is currently limited to orthodontics and works as a consultant in various clinics.",institutionString:null,institution:{name:"SRM Dental College",country:{name:"India"}}},{id:"323731",title:"Prof.",name:"Deepak M.",middleName:"Macchindra",surname:"Vikhe",slug:"deepak-m.-vikhe",fullName:"Deepak M. Vikhe",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/323731/images/13613_n.jpg",biography:"Dr Deepak M.Vikhe .\n\n\t\n\tDr Deepak M.Vikhe , completed his Masters & PhD in Prosthodontics from Rural Dental College, Loni securing third rank in the Pravara Institute of Medical Sciences Deemed University. He was awarded Dr.G.C.DAS Memorial Award for Research on Implants at 39th IPS conference Dubai (U A E).He has two patents under his name. He has received Dr.Saraswati medal award for best research for implant study in 2017.He has received Fully funded scholarship to Spain ,university of Santiago de Compostela. He has completed fellowship in Implantlogy from Noble Biocare. \nHe has attended various conferences and CDE programmes and has national publications to his credit. His field of interest is in Implant supported prosthesis. Presently he is working as a associate professor in the Dept of Prosthodontics, Rural Dental College, Loni and maintains a successful private practice specialising in Implantology at Rahata.\n\nEmail: drdeepak_mvikhe@yahoo.com..................",institutionString:null,institution:{name:"Pravara Institute of Medical Sciences",country:{name:"India"}}},{id:"204110",title:"Dr.",name:"Ahmed A.",middleName:null,surname:"Madfa",slug:"ahmed-a.-madfa",fullName:"Ahmed A. Madfa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204110/images/system/204110.jpg",biography:"Dr. Madfa is currently Associate Professor of Endodontics at Thamar University and a visiting lecturer at Sana'a University and University of Sciences and Technology. He has more than 6 years of experience in teaching. His research interests include root canal morphology, functionally graded concept, dental biomaterials, epidemiology and dental education, biomimetic restoration, finite element analysis and endodontic regeneration. Dr. Madfa has numerous international publications, full articles, two patents, a book and a book chapter. Furthermore, he won 14 international scientific awards. Furthermore, he is involved in many academic activities ranging from editorial board member, reviewer for many international journals and postgraduate students' supervisor. Besides, I deliver many courses and training workshops at various scientific events. Dr. Madfa also regularly attends international conferences and holds administrative positions (Deputy Dean of the Faculty for Students’ & Academic Affairs and Deputy Head of Research Unit).",institutionString:"Thamar University",institution:null},{id:"210472",title:"Dr.",name:"Nermin",middleName:"Mohammed Ahmed",surname:"Yussif",slug:"nermin-yussif",fullName:"Nermin Yussif",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/210472/images/system/210472.jpg",biography:"Dr. Nermin Mohammed Ahmed Yussif is working at the Faculty of dentistry, University for October university for modern sciences and arts (MSA). Her areas of expertise include: periodontology, dental laserology, oral implantology, periodontal plastic surgeries, oral mesotherapy, nutrition, dental pharmacology. She is an editor and reviewer in numerous international journals.",institutionString:"MSA University",institution:null},{id:"204606",title:"Dr.",name:"Serdar",middleName:null,surname:"Gözler",slug:"serdar-gozler",fullName:"Serdar Gözler",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/204606/images/system/204606.jpeg",biography:"Dr. Serdar Gözler has completed his undergraduate studies at the Marmara University Faculty of Dentistry in 1978, followed by an assistantship in the Prosthesis Department of Dicle University Faculty of Dentistry. Starting his PhD work on non-resilient overdentures with Assoc. Prof. Hüsnü Yavuzyılmaz, he continued his studies with Prof. Dr. Gürbüz Öztürk of Istanbul University Faculty of Dentistry Department of Prosthodontics, this time on Gnatology. He attended training programs on occlusion, neurology, neurophysiology, EMG, radiology and biostatistics. In 1982, he presented his PhD thesis \\Gerber and Lauritzen Occlusion Analysis Techniques: Diagnosis Values,\\ at Istanbul University School of Dentistry, Department of Prosthodontics. As he was also working with Prof. Senih Çalıkkocaoğlu on The Physiology of Chewing at the same time, Gözler has written a chapter in Çalıkkocaoğlu\\'s book \\Complete Prostheses\\ entitled \\The Place of Neuromuscular Mechanism in Prosthetic Dentistry.\\ The book was published five times since by the Istanbul University Publications. Having presented in various conferences about occlusion analysis until 1998, Dr. Gözler has also decided to use the T-Scan II occlusion analysis method. Having been personally trained by Dr. Robert Kerstein on this method, Dr. Gözler has been lecturing on the T-Scan Occlusion Analysis Method in conferences both in Turkey and abroad. Dr. Gözler has various articles and presentations on Digital Occlusion Analysis methods. He is now Head of the TMD Clinic at Prosthodontic Department of Faculty of Dentistry , Istanbul Aydın University , Turkey.",institutionString:"Istanbul Aydin University",institution:{name:"Istanbul Aydın University",country:{name:"Turkey"}}},{id:"256417",title:"Associate Prof.",name:"Sanaz",middleName:null,surname:"Sadry",slug:"sanaz-sadry",fullName:"Sanaz Sadry",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/256417/images/8106_n.jpg",biography:null,institutionString:null,institution:{name:"Istanbul Aydın University",country:{name:"Turkey"}}},{id:"240870",title:"Ph.D.",name:"Alaa Eddin Omar",middleName:null,surname:"Al Ostwani",slug:"alaa-eddin-omar-al-ostwani",fullName:"Alaa Eddin Omar Al Ostwani",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/240870/images/system/240870.jpeg",biography:"Dr. Al Ostwani Alaa Eddin Omar received his Master in dentistry from Damascus University in 2010, and his Ph.D. in Pediatric Dentistry from Damascus University in 2014. Dr. Al Ostwani is an assistant professor and faculty member at IUST University since 2014. \nDuring his academic experience, he has received several awards including the scientific research award from the Union of Arab Universities, the Syrian gold medal and the international gold medal for invention and creativity. Dr. Al Ostwani is a Member of the International Association of Dental Traumatology and the Syrian Society for Research and Preventive Dentistry since 2017. He is also a Member of the Reviewer Board of International Journal of Dental Medicine (IJDM), and the Indian Journal of Conservative and Endodontics since 2016.",institutionString:"International University for Science and Technology.",institution:{name:"Islamic University of Science and Technology",country:{name:"India"}}},{id:"42847",title:"Dr.",name:"Belma",middleName:null,surname:"Işik Aslan",slug:"belma-isik-aslan",fullName:"Belma Işik Aslan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/42847/images/system/42847.jpg",biography:"Dr. Belma IşIk Aslan was born in 1976 in Ankara-TURKEY. After graduating from TED Ankara College in 1994, she attended to Gazi University, Faculty of Dentistry in Ankara. She completed her PhD in orthodontic education at Gazi University between 1999-2005. Dr. Işık Aslan stayed at the Providence Hospital Craniofacial Institude and Reconstructive Surgery in Michigan, USA for three months as an observer. She worked as a specialist doctor at Gazi University, Dentistry Faculty, Department of Orthodontics between 2005-2014. She was appointed as associate professor in January, 2014 and as professor in 2021. Dr. Işık Aslan still works as an instructor at the same faculty. She has published a total of 35 articles, 10 book chapters, 39 conference proceedings both internationally and nationally. Also she was the academic editor of the international book 'Current Advances in Orthodontics'. She is a member of the Turkish Orthodontic Society and Turkish Cleft Lip and Palate Society. She is married and has 2 children. Her knowledge of English is at an advanced level.",institutionString:"Gazi University Dentistry Faculty Department of Orthodontics",institution:null},{id:"202198",title:"Dr.",name:"Buket",middleName:null,surname:"Aybar",slug:"buket-aybar",fullName:"Buket Aybar",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/202198/images/6955_n.jpg",biography:"Buket Aybar, DDS, PhD, was born in 1971. She graduated from Istanbul University, Faculty of Dentistry, in 1992 and completed her PhD degree on Oral and Maxillofacial Surgery in Istanbul University in 1997.\r\nDr. Aybar is currently a full-time professor in Istanbul University, Faculty of Dentistry Department of Oral and Maxillofacial Surgery. She has teaching responsibilities in graduate and postgraduate programs. Her clinical practice includes mainly dentoalveolar surgery.\r\nHer topics of interest are biomaterials science and cell culture studies. She has many articles in international and national scientific journals and chapters in books; she also has participated in several scientific projects supported by Istanbul University Research fund.",institutionString:null,institution:{name:"Marmara University",country:{name:"Turkey"}}},{id:"178412",title:"Associate Prof.",name:"Guhan",middleName:null,surname:"Dergin",slug:"guhan-dergin",fullName:"Guhan Dergin",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/178412/images/6954_n.jpg",biography:"Assoc. Prof. Dr. Gühan Dergin was born in 1973 in Izmit. He graduated from Marmara University Faculty of Dentistry in 1999. He completed his specialty of OMFS surgery in Marmara University Faculty of Dentistry and obtained his PhD degree in 2006. In 2005, he was invited as a visiting doctor in the Oral and Maxillofacial Surgery Department of the University of North Carolina, USA, where he went on a scholarship. Dr. Dergin still continues his academic career as an associate professor in Marmara University Faculty of Dentistry. He has many articles in international and national scientific journals and chapters in books.",institutionString:null,institution:{name:"Marmara University",country:{name:"Turkey"}}},{id:"178414",title:"Prof.",name:"Yusuf",middleName:null,surname:"Emes",slug:"yusuf-emes",fullName:"Yusuf Emes",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/178414/images/6953_n.jpg",biography:"Born in Istanbul in 1974, Dr. Emes graduated from Istanbul University Faculty of Dentistry in 1997 and completed his PhD degree in Istanbul University faculty of Dentistry Department of Oral and Maxillofacial Surgery in 2005. He has papers published in international and national scientific journals, including research articles on implantology, oroantral fistulas, odontogenic cysts, and temporomandibular disorders. Dr. Emes is currently working as a full-time academic staff in Istanbul University faculty of Dentistry Department of Oral and Maxillofacial Surgery.",institutionString:null,institution:{name:"Istanbul University",country:{name:"Turkey"}}},{id:"192229",title:"Ph.D.",name:"Ana Luiza",middleName:null,surname:"De Carvalho Felippini",slug:"ana-luiza-de-carvalho-felippini",fullName:"Ana Luiza De Carvalho Felippini",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/192229/images/system/192229.jpg",biography:null,institutionString:"University of São Paulo",institution:{name:"University of Sao Paulo",country:{name:"Brazil"}}},{id:"256851",title:"Prof.",name:"Ayşe",middleName:null,surname:"Gülşen",slug:"ayse-gulsen",fullName:"Ayşe Gülşen",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/256851/images/9696_n.jpg",biography:"Dr. Ayşe Gülşen graduated in 1990 from Faculty of Dentistry, University of Ankara and did a postgraduate program at University of Gazi. \nShe worked as an observer and research assistant in Craniofacial Surgery Departments in New York, Providence Hospital in Michigan and Chang Gung Memorial Hospital in Taiwan. \nShe works as Craniofacial Orthodontist in Department of Aesthetic, Plastic and Reconstructive Surgery, Faculty of Medicine, University of Gazi, Ankara Turkey since 2004.",institutionString:"Orthodontist, Assoc Prof in the Department of Aesthetic, Plastic and Reconstructive Surgery, Faculty of Medicine, University of Gazi",institution:null},{id:"255366",title:"Prof.",name:"Tosun",middleName:null,surname:"Tosun",slug:"tosun-tosun",fullName:"Tosun Tosun",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/255366/images/7347_n.jpg",biography:"Graduated at the Faculty of Dentistry, University of Istanbul, Turkey in 1989;\nVisitor Assistant at the University of Padua, Italy and Branemark Osseointegration Center of Treviso, Italy between 1993-94;\nPhD thesis on oral implantology in University of Istanbul and was awarded the academic title “Dr.med.dent.”, 1997;\nHe was awarded the academic title “Doç.Dr.” (Associated Professor) in 2003;\nProficiency in Botulinum Toxin Applications, Reading-UK in 2009;\nMastership, RWTH Certificate in Laser Therapy in Dentistry, AALZ-Aachen University, Germany 2009-11;\nMaster of Science (MSc) in Laser Dentistry, University of Genoa, Italy 2013-14.\n\nDr.Tosun worked as Research Assistant in the Department of Oral Implantology, Faculty of Dentistry, University of Istanbul between 1990-2002. \nHe worked part-time as Consultant surgeon in Harvard Medical International Hospitals and John Hopkins Medicine, Istanbul between years 2007-09.\u2028He was contract Professor in the Department of Surgical and Diagnostic Sciences (DI.S.C.), Medical School, University of Genova, Italy between years 2011-16. \nSince 2015 he is visiting Professor at Medical School, University of Plovdiv, Bulgaria. \nCurrently he is Associated Prof.Dr. at the Dental School, Oral Surgery Dept., Istanbul Aydin University and since 2003 he works in his own private clinic in Istanbul, Turkey.\u2028\nDr.Tosun is reviewer in journal ‘Laser in Medical Sciences’, reviewer in journal ‘Folia Medica\\', a Fellow of the International Team for Implantology, Clinical Lecturer of DGZI German Association of Oral Implantology, Expert Lecturer of Laser&Health Academy, Country Representative of World Federation for Laser Dentistry, member of European Federation of Periodontology, member of Academy of Laser Dentistry. Dr.Tosun presents papers in international and national congresses and has scientific publications in international and national journals. He speaks english, spanish, italian and french.",institutionString:null,institution:{name:"Istanbul Aydın University",country:{name:"Turkey"}}},{id:"260116",title:"Dr.",name:"Mehmet",middleName:null,surname:"Yaltirik",slug:"mehmet-yaltirik",fullName:"Mehmet Yaltirik",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/260116/images/7413_n.jpg",biography:"Birth Date 25.09.1965\r\nBirth Place Adana- Turkey\r\nSex Male\r\nMarrial Status Bachelor\r\nDriving License Acquired\r\nMother Tongue Turkish\r\n\r\nAddress:\r\nWork:University of Istanbul,Faculty of Dentistry, Department of Oral Surgery and Oral Medicine 34093 Capa,Istanbul- TURKIYE",institutionString:null,institution:{name:"Istanbul University",country:{name:"Turkey"}}},{id:"171887",title:"Prof.",name:"Zühre",middleName:null,surname:"Akarslan",slug:"zuhre-akarslan",fullName:"Zühre Akarslan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/171887/images/system/171887.jpg",biography:"Zühre Akarslan was born in 1977 in Cyprus. She graduated from Gazi University Faculty of Dentistry, Ankara, Turkey in 2000. \r\nLater she received her Ph.D. degree from the Oral Diagnosis and Radiology Department; which was recently renamed as Oral and Dentomaxillofacial Radiology, from the same university. \r\nShe is working as a full-time Associate Professor and is a lecturer and an academic researcher. \r\nHer expertise areas are dental caries, cancer, dental fear and anxiety, gag reflex in dentistry, oral medicine, and dentomaxillofacial radiology.",institutionString:"Gazi University",institution:{name:"Gazi University",country:{name:"Turkey"}}},{id:"272237",title:"Dr.",name:"Pinar",middleName:"Kiymet",surname:"Karataban",slug:"pinar-karataban",fullName:"Pinar Karataban",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/272237/images/8911_n.png",biography:"Assist.Prof.Dr.Pınar Kıymet Karataban, DDS PhD \n\nDr.Pınar Kıymet Karataban was born in Istanbul in 1975. After her graduation from Marmara University Faculty of Dentistry in 1998 she started her PhD in Paediatric Dentistry focused on children with special needs; mainly children with Cerebral Palsy. She finished her pHD thesis entitled \\'Investigation of occlusion via cast analysis and evaluation of dental caries prevalance, periodontal status and muscle dysfunctions in children with cerebral palsy” in 2008. She got her Assist. Proffessor degree in Istanbul Aydın University Paediatric Dentistry Department in 2015-2018. ın 2019 she started her new career in Bahcesehir University, Istanbul as Head of Department of Pediatric Dentistry. In 2020 she was accepted to BAU International University, Batumi as Professor of Pediatric Dentistry. She’s a lecturer in the same university meanwhile working part-time in private practice in Ege Dental Studio (https://www.egedisklinigi.com/) a multidisciplinary dental clinic in Istanbul. Her main interests are paleodontology, ancient and contemporary dentistry, oral microbiology, cerebral palsy and special care dentistry. She has national and international publications, scientific reports and is a member of IAPO (International Association for Paleodontology), IADH (International Association of Disability and Oral Health) and EAPD (European Association of Pediatric Dentistry).",institutionString:null,institution:null},{id:"172009",title:"Dr.",name:"Fatma Deniz",middleName:null,surname:"Uzuner",slug:"fatma-deniz-uzuner",fullName:"Fatma Deniz Uzuner",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/172009/images/7122_n.jpg",biography:"Dr. Deniz Uzuner was born in 1969 in Kocaeli-TURKEY. After graduating from TED Ankara College in 1986, she attended the Hacettepe University, Faculty of Dentistry in Ankara. \nIn 1993 she attended the Gazi University, Faculty of Dentistry, Department of Orthodontics for her PhD education. After finishing the PhD education, she worked as orthodontist in Ankara Dental Hospital under the Turkish Government, Ministry of Health and in a special Orthodontic Clinic till 2011. Between 2011 and 2016, Dr. Deniz Uzuner worked as a specialist in the Department of Orthodontics, Faculty of Dentistry, Gazi University in Ankara/Turkey. In 2016, she was appointed associate professor. Dr. Deniz Uzuner has authored 23 Journal Papers, 3 Book Chapters and has had 39 oral/poster presentations. She is a member of the Turkish Orthodontic Society. 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Thus proteomics, an area of research that detects all protein forms expressed in an organism, including splice isoforms and post-translational modifications, is more suitable than genomics for a comprehensive understanding of the biochemical processes that govern life. The most common proteomics applications are currently in the clinical field for the identification, in a variety of biological matrices, of biomarkers for diagnosis and therapeutic intervention of disorders. From the comparison of proteomic profiles of control and disease or different physiological states, which may emerge, changes in protein expression can provide new insights into the roles played by some proteins in human pathologies. Understanding how proteins function and interact with each other is another goal of proteomics that makes this approach even more intriguing. Specialized technology and expertise are required to assess the proteome of any biological sample. 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Since then, he has been working as an Adjunct Professor in the same Department at the University of Pavia. His research activity during the first years was primarily focused on the purification and structural characterization of enzymes from animal and plant sources. During this period, Prof. Iadarola familiarized himself with the conventional techniques used in column chromatography, spectrophotometry, manual Edman degradation, and electrophoresis). Since 1995, he has been working on: i) the determination in biological fluids (serum, urine, bronchoalveolar lavage, sputum) of proteolytic activities involved in the degradation processes of connective tissue matrix, and ii) on the identification of biological markers of lung diseases. In this context, he has developed and validated new methodologies (e.g., Capillary Electrophoresis coupled to Laser-Induced Fluorescence, CE-LIF) whose application enabled him to determine both the amounts of biochemical markers (Desmosines) in urine/serum of patients affected by Chronic Obstructive Pulmonary Disease (COPD) and the activity of proteolytic enzymes (Human Neutrophil Elastase, Cathepsin G, Pseudomonas aeruginosa elastase) in sputa of these patients. More recently, Prof. Iadarola was involved in developing techniques such as two-dimensional electrophoresis coupled to liquid chromatography/mass spectrometry (2DE-LC/MS) for the proteomic analysis of biological fluids aimed at the identification of potential biomarkers of different lung diseases. He is the author of about 150 publications (According to Scopus: H-Index: 23; Total citations: 1568- According to WOS: H-Index: 20; Total Citations: 1296) of peer-reviewed international journals. 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The applications of this research cover many related fields, such as biotechnology and medicine, where, for example, Bioinformatics contributes to faster drug design, DNA analysis in forensics, and DNA sequence analysis in the field of personalized medicine. Personalized medicine is a type of medical care in which treatment is customized individually for each patient. Personalized medicine enables more effective therapy, reduces the costs of therapy and clinical trials, and also minimizes the risk of side effects. Nevertheless, advances in personalized medicine would not have been possible without bioinformatics, which can analyze the human genome and other vast amounts of biomedical data, especially in genetics. The rapid growth of information technology enabled the development of new tools to decode human genomes, large-scale studies of genetic variations and medical informatics. 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Dr. Koprowski has authored more than a hundred research papers with dozens in impact factor (IF) journals and has authored or co-authored six books. Additionally, he is the author of several national and international patents in the field of biomedical devices and imaging. Since 2011, he has been a reviewer of grants and projects (including EU projects) in biomedical engineering.",institutionString:null,institution:{name:"University of Silesia",institutionURL:null,country:{name:"Poland"}}},subseries:[{id:"7",title:"Bioinformatics and Medical Informatics",keywords:"Biomedical Data, Drug Discovery, Clinical Diagnostics, Decoding Human Genome, AI in Personalized Medicine, Disease-prevention Strategies, Big Data Analysis in Medicine",scope:"Bioinformatics aims to help understand the functioning of the mechanisms of living organisms through the construction and use of quantitative tools. The applications of this research cover many related fields, such as biotechnology and medicine, where, for example, Bioinformatics contributes to faster drug design, DNA analysis in forensics, and DNA sequence analysis in the field of personalized medicine. Personalized medicine is a type of medical care in which treatment is customized individually for each patient. Personalized medicine enables more effective therapy, reduces the costs of therapy and clinical trials, and also minimizes the risk of side effects. Nevertheless, advances in personalized medicine would not have been possible without bioinformatics, which can analyze the human genome and other vast amounts of biomedical data, especially in genetics. The rapid growth of information technology enabled the development of new tools to decode human genomes, large-scale studies of genetic variations and medical informatics. The considerable development of technology, including the computing power of computers, is also conducive to the development of bioinformatics, including personalized medicine. In an era of rapidly growing data volumes and ever lower costs of generating, storing and computing data, personalized medicine holds great promises. Modern computational methods used as bioinformatics tools can integrate multi-scale, multi-modal and longitudinal patient data to create even more effective and safer therapy and disease prevention methods. Main aspects of the topic are: Applying bioinformatics in drug discovery and development; Bioinformatics in clinical diagnostics (genetic variants that act as markers for a condition or a disease); Blockchain and Artificial Intelligence/Machine Learning in personalized medicine; Customize disease-prevention strategies in personalized medicine; Big data analysis in personalized medicine; Translating stratification algorithms into clinical practice of personalized medicine.",annualVolume:11403,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/7.jpg",editor:{id:"351533",title:"Dr.",name:"Slawomir",middleName:null,surname:"Wilczynski",fullName:"Slawomir Wilczynski",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y000035U1loQAC/Profile_Picture_1630074514792",institutionString:null,institution:{name:"Medical University of Silesia",institutionURL:null,country:{name:"Poland"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"5886",title:"Dr.",name:"Alexandros",middleName:"T.",surname:"Tzallas",fullName:"Alexandros Tzallas",profilePictureURL:"https://mts.intechopen.com/storage/users/5886/images/system/5886.png",institutionString:"University of Ioannina, Greece & Imperial College London",institution:{name:"University of Ioannina",institutionURL:null,country:{name:"Greece"}}},{id:"257388",title:"Distinguished Prof.",name:"Lulu",middleName:null,surname:"Wang",fullName:"Lulu Wang",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRX6kQAG/Profile_Picture_1630329584194",institutionString:"Shenzhen Technology University",institution:{name:"Shenzhen Technology University",institutionURL:null,country:{name:"China"}}},{id:"225387",title:"Prof.",name:"Reda R.",middleName:"R.",surname:"Gharieb",fullName:"Reda R. Gharieb",profilePictureURL:"https://mts.intechopen.com/storage/users/225387/images/system/225387.jpg",institutionString:"Assiut University",institution:{name:"Assiut University",institutionURL:null,country:{name:"Egypt"}}}]},{id:"8",title:"Bioinspired Technology and Biomechanics",keywords:"Bioinspired Systems, Biomechanics, Assistive Technology, Rehabilitation",scope:'Bioinspired technologies take advantage of understanding the actual biological system to provide solutions to problems in several areas. Recently, bioinspired systems have been successfully employing biomechanics to develop and improve assistive technology and rehabilitation devices. The research topic "Bioinspired Technology and Biomechanics" welcomes studies reporting recent advances in bioinspired technologies that contribute to individuals\' health, inclusion, and rehabilitation. Possible contributions can address (but are not limited to) the following research topics: Bioinspired design and control of exoskeletons, orthoses, and prostheses; Experimental evaluation of the effect of assistive devices (e.g., influence on gait, balance, and neuromuscular system); Bioinspired technologies for rehabilitation, including clinical studies reporting evaluations; Application of neuromuscular and biomechanical models to the development of bioinspired technology.',annualVolume:11404,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/8.jpg",editor:{id:"144937",title:"Prof.",name:"Adriano",middleName:"De Oliveira",surname:"Andrade",fullName:"Adriano Andrade",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRC8QQAW/Profile_Picture_1625219101815",institutionString:null,institution:{name:"Federal University of Uberlândia",institutionURL:null,country:{name:"Brazil"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"49517",title:"Prof.",name:"Hitoshi",middleName:null,surname:"Tsunashima",fullName:"Hitoshi Tsunashima",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYTP4QAO/Profile_Picture_1625819726528",institutionString:null,institution:{name:"Nihon University",institutionURL:null,country:{name:"Japan"}}},{id:"425354",title:"Dr.",name:"Marcus",middleName:"Fraga",surname:"Vieira",fullName:"Marcus Vieira",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0033Y00003BJSgIQAX/Profile_Picture_1627904687309",institutionString:null,institution:{name:"Universidade Federal de Goiás",institutionURL:null,country:{name:"Brazil"}}},{id:"196746",title:"Dr.",name:"Ramana",middleName:null,surname:"Vinjamuri",fullName:"Ramana Vinjamuri",profilePictureURL:"https://mts.intechopen.com/storage/users/196746/images/system/196746.jpeg",institutionString:"University of Maryland, Baltimore County",institution:{name:"University of Maryland, Baltimore County",institutionURL:null,country:{name:"United States of America"}}}]},{id:"9",title:"Biotechnology - Biosensors, Biomaterials and Tissue Engineering",keywords:"Biotechnology, Biosensors, Biomaterials, Tissue Engineering",scope:"The Biotechnology - Biosensors, Biomaterials and Tissue Engineering topic within the Biomedical Engineering Series aims to rapidly publish contributions on all aspects of biotechnology, biosensors, biomaterial and tissue engineering. We encourage the submission of manuscripts that provide novel and mechanistic insights that report significant advances in the fields. Topics can include but are not limited to: Biotechnology such as biotechnological products and process engineering; Biotechnologically relevant enzymes and proteins; Bioenergy and biofuels; Applied genetics and molecular biotechnology; Genomics, transcriptomics, proteomics; Applied microbial and cell physiology; Environmental biotechnology; Methods and protocols. Moreover, topics in biosensor technology, like sensors that incorporate enzymes, antibodies, nucleic acids, whole cells, tissues and organelles, and other biological or biologically inspired components will be considered, and topics exploring transducers, including those based on electrochemical and optical piezoelectric, thermal, magnetic, and micromechanical elements. Chapters exploring biomaterial approaches such as polymer synthesis and characterization, drug and gene vector design, biocompatibility, immunology and toxicology, and self-assembly at the nanoscale, are welcome. Finally, the tissue engineering subcategory will support topics such as the fundamentals of stem cells and progenitor cells and their proliferation, differentiation, bioreactors for three-dimensional culture and studies of phenotypic changes, stem and progenitor cells, both short and long term, ex vivo and in vivo implantation both in preclinical models and also in clinical trials.",annualVolume:11405,isOpenForSubmission:!0,coverUrl:"https://cdn.intechopen.com/series_topics/covers/9.jpg",editor:{id:"126286",title:"Dr.",name:"Luis",middleName:"Jesús",surname:"Villarreal-Gómez",fullName:"Luis Villarreal-Gómez",profilePictureURL:"https://mts.intechopen.com/storage/users/126286/images/system/126286.jpg",institutionString:null,institution:{name:"Autonomous University of Baja California",institutionURL:null,country:{name:"Mexico"}}},editorTwo:null,editorThree:null,editorialBoard:[{id:"35539",title:"Dr.",name:"Cecilia",middleName:null,surname:"Cristea",fullName:"Cecilia Cristea",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYQ65QAG/Profile_Picture_1621007741527",institutionString:null,institution:{name:"Iuliu Hațieganu University of Medicine and Pharmacy",institutionURL:null,country:{name:"Romania"}}},{id:"40735",title:"Dr.",name:"Gil",middleName:"Alberto Batista",surname:"Gonçalves",fullName:"Gil Gonçalves",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002aYRLGQA4/Profile_Picture_1628492612759",institutionString:null,institution:{name:"University of Aveiro",institutionURL:null,country:{name:"Portugal"}}},{id:"211725",title:"Associate Prof.",name:"Johann F.",middleName:null,surname:"Osma",fullName:"Johann F. 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