Seven new earthquake events.
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Released this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\\n\\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
\\n"}]',published:!0,mainMedia:null},components:[{type:"htmlEditorComponent",content:'IntechOpen is proud to announce that 179 of our authors have made the Clarivate™ Highly Cited Researchers List for 2020, ranking them among the top 1% most-cited.
\n\nThroughout the years, the list has named a total of 252 IntechOpen authors as Highly Cited. Of those researchers, 69 have been featured on the list multiple times.
\n\n\n\nReleased this past November, the list is based on data collected from the Web of Science and highlights some of the world’s most influential scientific minds by naming the researchers whose publications over the previous decade have included a high number of Highly Cited Papers placing them among the top 1% most-cited.
\n\nWe wish to congratulate all of the researchers named and especially our authors on this amazing accomplishment! We are happy and proud to share in their success!
\n'}],latestNews:[{slug:"stanford-university-identifies-top-2-scientists-over-1-000-are-intechopen-authors-and-editors-20210122",title:"Stanford University Identifies Top 2% Scientists, Over 1,000 are IntechOpen Authors and Editors"},{slug:"intechopen-authors-included-in-the-highly-cited-researchers-list-for-2020-20210121",title:"IntechOpen Authors Included in the Highly Cited Researchers List for 2020"},{slug:"intechopen-maintains-position-as-the-world-s-largest-oa-book-publisher-20201218",title:"IntechOpen Maintains Position as the World’s Largest OA Book Publisher"},{slug:"all-intechopen-books-available-on-perlego-20201215",title:"All IntechOpen Books Available on Perlego"},{slug:"oiv-awards-recognizes-intechopen-s-editors-20201127",title:"OIV Awards Recognizes IntechOpen's Editors"},{slug:"intechopen-joins-crossref-s-initiative-for-open-abstracts-i4oa-to-boost-the-discovery-of-research-20201005",title:"IntechOpen joins Crossref's Initiative for Open Abstracts (I4OA) to Boost the Discovery of Research"},{slug:"intechopen-hits-milestone-5-000-open-access-books-published-20200908",title:"IntechOpen hits milestone: 5,000 Open Access books published!"},{slug:"intechopen-books-hosted-on-the-mathworks-book-program-20200819",title:"IntechOpen Books Hosted on the MathWorks Book Program"}]},book:{item:{type:"book",id:"8227",leadTitle:null,fullTitle:"Disorders of Consciousness - A Review of Important Issues",title:"Disorders of Consciousness",subtitle:"A Review of Important Issues",reviewType:"peer-reviewed",abstract:"Consciousness is a state of being awake and aware of one's self and surroundings according to the American Academy of Neurology. 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Alteration of different protein kinases can result in remarkable changes in these processes. Moreover, these protein kinases are frequently recognized as oncogenic and can be crucial for the survival and spread of cancer cells. Because of the fundamental role of protein kinases in cell biology and their function in numerous sarcomas and cancers, an intensive search for new kinase inhibitors in academia and industries has been enduring for the last two decades. Protein kinase has become the most imperative and commercial class of drug target which is attracting pharmaceutical industries to spend 30 % of their current research investments only in developing kinase inhibitors for various therapeutic implications. This is exemplified by the fact that 75 drugs targeting protein kinase have been clinically approved to date. More than 100 kinase inhibitors are in the final stages of development and likely to be approved in the coming years. 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\r\n\r\n\tIn this context, this book intends to provide a collection of research and review articles from the experts focusing on protein kinases signalling pathways as a molecular drug target. Various chapters on the mechanism of action and antitumor activity of protein kinase inhibitors on various cancer types will also be presented. New opportunities, challenges and future perspectives in the context of the function of protein kinases will also be discussed in different chapters.
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Thailand located inside the Eurasian plate, is delimited by the Andaman thrust within the west, the Sunda Arc within the south, and also the Philippine trench within the east [1]. As a result of recent awareness of earthquake hazards, the Thai Meteorological Department has established quite 20 seismometer stations Thailand. Figure 1 shows samples of ground motion records at a Chiang Mai station (in northern Thailand) from an earthquake event in the regions around Chiang Rai (M 5.9). The distance from the epicenter of the earthquake is about 128 km. One will observe a small peak ground acceleration (PGA) (≈2.29 × 10−3 g) in the vertical component, and a peak horizontal ground acceleration in the horizontal components (E-W component ≈ 1.63 × 10−3 g and N-S component ≈ 1.19 × 10−3 g). The researcher calculated average peak horizontal ground acceleration (PHAavg) ≈ 1.04 × 10−3 g.
Earthquake sampling E-W components of the Chiang Mai station (UTC: 5/6/2014 00:50:16, Lat = 19.73 N, Lon = 99.69E, Mw = 5. 9, distance = 128 km, and epicenter: Chiang Rai) (Thai Meteorological Department).
The attenuation relationship for PHAavg for the Chiang Mai station in Thailand has been proposed in this investigation. The attenuation relationship for PHAavg was determined based on the multiple linear regression (MLR) models by using 132 components of strong motion data from 66 earthquake events. By using the MLR models, the researcher constructed site-specific attenuation relation based on a previously proposed attenuation relation [2, 3]. The specific site in this investigation is a Chiang Mai seismic station (CMMT) station located on the rock site.
Because Thailand is not a country prone to earthquakes, most of the earthquakes felt in Thailand occur outside the country, in places such as Sumatra, Nicobar Island, the Andaman Sea, Myanmar, Laos, and in the west and south areas of China. However, inside the country, Thailand has active faults, which can cause small-to-moderate earthquakes in areas such as Chiang Mai.
Pairojn and Wasinrat [4] presented the observed earthquakes recorded by the Chiang Mai station in northern Thailand from 07/10/2006 to 11/11/2012, as shown in Figure 2.
The location of (a) 41 seismic stations in Thailand, and (b) 73 earthquake events used in this investigation (Thai Meteorological Department).
In this study, the researcher chose to investigate data from shear wave velocity (Vs) recorded at the Chiang Mai seismic station (CMMT) in northern Thailand, located on a rocky site (NEHRP site class). The CMMT station used Trillium 120 velocity sensors and TSA100S accelerometers, as seen in Figure 3.
Installation of velocity sensor and accelerometer at CMMT seismic station (Thai Meteorological Department) [5].
Recently, several ground-motion prediction equations (GMPEs) have been developed. Douglas [6] summarizes all empirical ground-motion prediction equations (GMPEs) used to estimate earthquake peak ground acceleration (PGA) and elastic response spectral ordinates published between 1964 and 2017. Most empirical ground motion attenuation relations are derived from numerical analyses.
For Thailand, Idriss’s model [2, 3] was selected because it has an appropriate attenuation relation. Idriss suggested that the attenuation relation for motions in western North America [2, 3]. The available data included 572 individual horizontal components in rock sites that were used to derive this attenuation model. This study focuses on M ≤ 6.0 and M > 6.0 using local ML and surface wave magnitude MS scales, respectively. The range of applicability is 1–100 km for distance and 4.6–7.4 for M [2, 3]. The peak ground acceleration (Y) at rock sites was derived as following equation:
where Y is in g (m/s2), a = 0.2, for M ≤ 6 𝛼0 = −0.150, 𝛼1 = 2.261, 𝛼2 = −0.083, 𝛽0 = 0, 𝛽1 = 1.602, 𝛽2 = −0.142 and 𝜎 = 1.39–0.14 M and for M > 6 𝛼0 = −0.050, 𝛼1 = 3.477, 𝛼2 = −0.284, 𝛽0 = 0, 𝛽1 = 2.475, 𝛽2 = −0.286 and for M < 7.25 𝜎 = 1.39–0.14 M, and for M ≥ 7.25 𝜎 = 0.38. (F = 0 for Strike slip, F = 0.5 for Oblique, F = 1 for Reverse).
This chapter uses the method of ground-motion prediction under regression analysis [5].
Regression analysis is a conceptually simple method for investigating functional relationships among variables. The relationship is explained by an equation or a model combining the response (Y) and predictor variables (X1, X2, …, Xp) [7]. This relationship can be derived from the regression model.
Where
while an example of a non-linear function is:
Note that the term linear here does not describe the relationship between Y and X. This model is linear because in each case the parameters enter linearly, although the relationship between Y and X is non-linear. This can be transformed as follows:
where in the equation we have X1 = InX. The variables here are transformed [7].
A regression model containing only one predictor variable is called a simple linear regression. The model containing more than one predictor variable is called a multiple linear regression (MLR). The multiple linear regression model is:
where
The value of
Pairojn and Wasinrat [4] proposed the MLR model to predict average peak horizontal ground acceleration, PHAavg (
where M represents the magnitude and R represents the distance. The natural log (ln) of Y and R are used to transform the linear relationship between Y and R, and lnY and M. The value of
No. | Date | Time UTC | Epicenter | Magnitude, M (Mw) | Distance, R (km) | PHAavg, Y (g) |
---|---|---|---|---|---|---|
1 | 5/5/2014 | 12:06:19 | Chiang Rai | 5.1 | 121 | 0.0002990 |
2 | 5/5/2014 | 12:20:57 | Chiang Rai | 5.2 | 140 | 0.0003755 |
3 | 5/5/2014 | 21:17:05 | Chiang Rai | 5.1 | 119 | 0.0005555 |
4 | 5/5/2014 | 23:04:55 | Chiang Rai | 5.2 | 121 | 0.0003380 |
5 | 6/5/2014 | 00:50:16 | Chiang Rai | 5.9 | 128 | 0.0014140 |
6 | 6/5/2014 | 0:58:19 | Chiang Rai | 5.6 | 116 | 0.0010405 |
7 | 12/5/2014 | 11:05:29 | Chiang Rai | 5.0 | 137 | 0.0002955 |
Seven new earthquake events.
The comparison of MLR and Idriss’s models at CMMT seismic station [4].
The MLR model was used on seven new earthquake events that occurred from 05/05/2014 to 05/12/2014. The data are shown in Table 1.
The predicted PHA values from Eq. (8) and Eq. (1) are presented in Table 2 (Figures 5, 6, 7).
Model | Predicted PHA values | ||||||
---|---|---|---|---|---|---|---|
No. 1 | No. 2 | No. 3 | No. 4 | No. 5 | No. 6 | No. 7 | |
MLR | 0.000410 | 0.000346 | 0.000426 | 0.000488 | 0.001446 | 0.001080 | 0.000257 |
Idriss | 0.002751 | 0.002751 | 0.002751 | 0.002751 | 0.002751 | 0.002751 | 0.002751 |
The predicted peak horizontal ground acceleration from MLR model and Idriss’s model.
The predicted peak horizontal ground acceleration from MLR model.
The predicted peak horizontal ground acceleration from Idriss’s model.
A comparison of MLR and Idriss’s model for new earthquake events.
The root mean square error (RMSE) is used for comparing the predicted PHA values from MLR model to the observed PHA values. The RMSE measures the error between a predicted value and an observed value, defined as:
where
The MLR model is presented for developing a previous attenuation relationship based on observations. The MLR model is suitable for measuring the attenuation relationship for Thailand because Thailand has few instances of motion data, with most peak ground acceleration being measured at less than 0.1 g. It is expected that this method can be applied to observation sites throughout the country. The MLR model has been used for probabilistic hazard analysis, risk analysis, building design analysis, and many other fields, that is, and construction of nuclear power plants, dams, bridges, and high-rise buildings.
The authors would like to acknowledge the Chandrakasem Rajabhat University and Thai Meteorological Department, which collectively supported this project.
The ocular surface is a delicate portion of the eye’s anatomy, where its constituent components maintain a close relationship in order to keep the region’s homeostasis, which undoubtedly establishes the presence of a real anatomo-functional unit [1] in which the tear film must uphold the unimpaired health of epithelia of the conjunctiva and cornea and at the same time contribute to the normal physiology of the stroma.
In order that the tear film may carry out this function efficiently, its three layers must be complete and in constant equilibrium. The film’s three layers have a close relationship, to such an extent, that any alteration in one of them (composition, secretory, etc.) may drastically impinge on the normal equilibrium of all, thus bringing about the partial or total alteration of the tear film and consequently alteration of the tear film and consequently altering epithelia.
The dry eye is a pathologic multifactor process of the ocular surface due to a deficiency in quantity and/or quality of the pre-corneal tear film, which in turn makes it unable to keep healthy the epithelia of the cornea and the conjunctiva. This produces epithelial metaplasia of the squamous type and epithelial damage [2].
Even though this flaw may be due to different situations, increase of evaporation, deficiency in its production, and alteration in composition, in all cases the physiopathologic sequence is the increase of the film’s osmolarity [3] which appears within the first 24 h of the onset of the process.
The decrease in the production of tears and/or qualitative changes in composition and also the evaporation of the film promote the phenomenon of hyperosmolarity. The evaporation of a smaller volume for a same surface increases osmolarity during the first 24 h from the onset of volumetric decrease [4].
Hyperosmolarity [5] causes epithelial injury in a direct manner as it produces cellular desquamation, complete disappearance of layers of superficial epithelial cells, decreasing of cytoplasmic density, and accumulation of rows of mucus product of goblet cells osmotically altered. This phenomenon is generally evident between 15 and 30 days from the osmolar change of the tear film.
According to Holly and Lamberts [6], the formation of the pre-corneal tear film is essentially a phenomenon of “wettability.” The epithelium of the cornea and conjunctiva must be completely humidified by the aqueous layer of the film. For a complete wettability, the conditions of the ocular surface need that the surface tension of the aqueous layer in the interphase with the epithelium be lower than the surface tension of the epithelium exposed to the medium.
Mucopolysaccharides of the mucin layer are principally responsible in keeping a stable surface tension. Mucus accumulation and destruction of goblet cells due to an increase of the film’s osmolarity brings about an increase in the surface tension, and therefore the wettability of the epithelium is inhibited.
In 1993 I advanced a hypothesis [7] based on the phenomenon of osmosis. The principle of osmosis is characterized by the presence of a solvent flow through a semipermeable membrane, which comes about when the concentration of the solution increases on one of the sides of the membrane. This aqueous movement tends to equalize concentrations on both sides [8]. When this occurs the osmotic phenomenon stops.
The corneal-conjunctival epithelium and the mucin layer of the tear film constitute a perfect biological semipermeable membrane and therefore act as such. When the osmolarity of the aqueous layer increases, the osmotic phenomenon begins producing a solvent flow from the epithelia and mucin layer towards the aqueous layer. This flow, nourished by the osmotic pressure, generates an important force that separates the aqueous layer impeding wettability.
At the same time, dehydration produced in the mucin layer will bring about destruction of mucus which raises higher surface tension, boosting osmolar disequilibrium.
At this point sicca lesion has taken place; it is exacerbated with cellular dehydration of the cellular layers of the epithelium generated in the aforementioned process and enters into a physiopathologic vicious circle.
On the other hand, taking into account the presence of the aqueous gradient through the protein water canals present in the stroma and with direction towards the aqueous humor, we shall observe that a new physical force of opposite direction (osmotic force) may modify this movement. This directional change of fluids produced by hyperosmolarity and by the mechanisms it produces may bring about dehydration of sulfated proteoglycans (GAGS) which occupy the spaces among collagen fibers of the stroma [9, 10]. When these glycoproteic structures dehydrate, the correct hydric balance of the stroma will be affected, which will incide in the normal maintenance of transparency of the cornea. Concurrently, alteration of the stroma will produce a loss in the number of goblet cells, with ensuing mucin and tensional alteration formerly described [11].
In this way, hyperosmolarity triggers a series of physiopathologic phenomena with evident feedback effects among them, which in both directions boost each other.
It is germane to this analysis that increase of osmolarity of the tear film in the dry eye, as a condition of stress on the ocular surface, triggers the inflammatory process and immunologic phenomena as the presence of autoantigens that boost the inflammatory process.
Studies on inflammatory markers such as NF-Kβ that migrates from the nucleus to the cytoplasm in the inflammatory process are directly related with the phenomenon of hyperosmolarity of the tear film. Nuclear translocation of NF-Kβ is directly proportional to the increase of osmolarity of the tear film.
Berra and Berra [12] compared the nuclear NF-Kβ translocation in healthy persons, in postmenopausal women, and in patients with Sjögren’s syndrome, and they related them with osmolarity of the tear film and with impression cytology of these patients.
Healthy persons with normal values of osmolarity (300 mOsm/L ± 10) did not show presence of marker NF-Kβ, nor did they show metaplastic changes in the conjunctiva (normal cytology grade 0, according to Nelson’s Classification) [13]. Postmenopausal women carriers of a moderate dry eye showed a moderate increase of osmolarity of the tear film (300–400 mOsm/L), moderate presence of factor NF-Kβ, and cellular metaplastic alterations grades I–II. On the contrary, patients with a severe dry eye, group with Sjögren’s syndrome, showed high values of osmolarity of the film (>400 mOsm/L), a great expression of nuclear translocation of factor NF-Kβ, and severe squamous metaplasia (grades II–III).
Khanal et al. [14] compared values of the tear film’s osmolarity in healthy persons with patients with dry eye, providing hyperosmolarity in patients with dry eye, and postulated the measuring of the film’s osmolarity as one of the diagnostic milestones of the dry eye. Likewise, osmolarity is one of the diagnostic tests recommended by the committee of the National Eye Institute of the United States of America [15].
Laboratory tests prove that even an increase of 1% in the film’s osmolarity is capable of inducing epithelial lesions and alter the normal flow of fluids towards the stroma.
Labbé et al. [16] established that dry eye is a clinical-pathological entity that involves the tear film, the lacrimal glands, and the eyelids, and it produces a large range of physiopathologic alterations where hyperosmolarity is one of the principal factors, assigning it a major diagnostic role. Several authors [17, 18] confirm these reports.
Even though the examining film’s osmolarity requires sophisticated equipment and a high-grade qualification to carry it out, we may assess its value by indirectly measuring the concentration of sodium of the film, employing Schirmer’s paper strips. Following the method of the sweat test, which consists in measuring the concentration of sodium employing filter paper on the epidermis of children with fibrocystic disease of the pancreas, we evaluate the concentration of sodium which we obtain from tears by humidifying a strip of Whatman 41 paper in the habitual way for Schirmer’s test.
Subsequently by using colorimetry we measure sodium concentration in same.
Normally the mean concentration of sodium in the tear film is in the range of 134–170 meq/L; in patients with dry eye concentration, it increases to extreme values (500 meq/L). Later, and employing van’t Hoff’s formula, we may assess the osmotic pressure of the ion sodium and the indirect index of the film’s osmolarity.
where C is the concentration of the solution, R the universal constant of gases, and T the absolute temperature.
In the last decade, numerous authors have highlighted the importance of hyperosmolarity of the tear film in the pathophysiology of dry eye. Lemp et al. [19] and collaborators also grant a significant diagnostic role. Liv et al. [20] relate the instability of the tear film with the increase in osmolarity and give it a fundamental role in the cascade of pathological events that on the ocular surface is capable of generating.
The importance of hyperosmolarity is such that authors such as Hirata et al. [21] suggest that the increased osmolarity of the tear film induces functional and structural lesions of the corneal nerves and neurotoxicity.
In 2010, Mesmer et al. [22] determined that hyperosmolarity is an important factor in the pathophysiology of dry eye.
More recently, the final report of the pathophysiology subcommittee of the TFOS DEWS II [23] concluded that the core mechanism of dry eye is evaporation-induced tear hyperosmolarity that produces a vicious circle (Figure 1). When osmolarity rises it causes damage on the ocular surface both directly and by initiating inflammation.
The vicious circle of dry eye disease. Image obtained from TFOS DEWS II 2017 pathophysiology subcommittee.
This subcommittee concluded: “tear hyperosmolarity is considered to be the trigger for a cascade of signaling events within surface epithelial cells, which leads to the release of inflammatory mediators and proteases. Such mediators, together with the tear hyperosmolarity itself, are understood to cause goblet cell and epithelial cell loss and damage to the epithelial glycocalyx. Inflammatory mediators from activated Tcells, recruited to the ocular surface, reinforce damage. The net result is the characteristic punctate epitheliopathy of DED and a tear film instability which leads at some point to early tear film breakup. This breakup exacerbates and amplifies tear hyperosmolarity and completes the vicious circle events that lead to ocular surface damage.”
Undoubtedly, dry eye is nowadays one of the problems most commonly diagnosed by ophthalmologists. The dry eye is a complex multifactor illness of the tear film and of the ocular surface (cornea, conjunctiva, palpebral anexus, glands and nerves) characterized by symptoms of discomfort, vision alterations, and instability of the pre-corneal tear film that may bring about potential damage on the ocular surface. Instability of the film will produce increasing of osmolarity of the tear film, which will trigger epithelium osmotic lesions and inflammation. As these changes take place on the ocular surface, neurophysiologic mechanisms of homeostasis will be altered, which will complicate the process even further, with the cropping up of vicious physiopathologic circuits.
The knowledge of its physiopathologic triggering and its early diagnosis will allow a better management of this pathology. In this sense, evaluation of osmolarity of the tear film in these patients, even if it does not give us an etiologic diagnosis of the disease, does give us an efficient tool to diagnose and evaluate the disease, as its values are directly proportional to the severity of the clinical picture of the dry eye, and is always present in these patients.
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