Details of cGPS stations used in the present study.
\r\n\tEnvironmental applications will deal with water, and wastewater treatments, characterization of different sorbents, and waste removers, contaminants detection in water, and waste management.
\r\n\tIndustrial applications will focus on the analysis of paint, paper, pharmaceutical, and sugar industries and the applicability of infrared spectroscopy in these fields.
\r\n\tDrug analysis, food and dietary supplements testing and analysis, and natural products analysis will be discussed as parts of the pharmaceutical applications of infrared spectroscopy.
\r\n\r\n\tIn addition, the book will limp to the important applications of infrared spectroscopy in chemical and biological analyses. While the topics mentioned herein ( including the basics of IR, as well as the environmental and the industrial applications, food, and drug analysis) will be the major topics of this book, other applications and topics related to infrared spectroscopy are also invited.
",isbn:"978-1-80356-282-7",printIsbn:"978-1-80356-281-0",pdfIsbn:"978-1-80356-283-4",doi:null,price:0,priceEur:0,priceUsd:0,slug:null,numberOfPages:0,isOpenForSubmission:!0,isSalesforceBook:!1,hash:"a72c83e454be85c1663d16ee18525862",bookSignature:"Dr. Marwa S. El-Azazy, Dr. Khalid Al-Saad and Dr. Ahmed El-Shafie",publishedDate:null,coverURL:"https://cdn.intechopen.com/books/images_new/11564.jpg",keywords:"IR Instrumentation, Sampling Modes, Spectral Analysis, Frequencies and Identification, Environmental Applications, Paint Industry, Paper Industry, Pharmaceutical Industry, Sugar Industry, Drug Analysis, Food Testing and Analysis, Natural Products Analysis",numberOfDownloads:null,numberOfWosCitations:0,numberOfCrossrefCitations:null,numberOfDimensionsCitations:null,numberOfTotalCitations:null,isAvailableForWebshopOrdering:!0,dateEndFirstStepPublish:"February 11th 2022",dateEndSecondStepPublish:"April 15th 2022",dateEndThirdStepPublish:"June 14th 2022",dateEndFourthStepPublish:"September 2nd 2022",dateEndFifthStepPublish:"November 1st 2022",remainingDaysToSecondStep:"a month",secondStepPassed:!0,currentStepOfPublishingProcess:3,editedByType:null,kuFlag:!1,biosketch:"Analytical Chemist, experienced educator, and researcher in water and wastewater treatment with more than 20 years of teaching experience at several institutions. 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Venkateswarlu",coverURL:"https://cdn.intechopen.com/books/images_new/371.jpg",editedByType:"Edited by",editors:[{id:"58592",title:"Dr.",name:"Arun",surname:"Shanker",slug:"arun-shanker",fullName:"Arun Shanker"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"72",title:"Ionic Liquids",subtitle:"Theory, Properties, New Approaches",isOpenForSubmission:!1,hash:"d94ffa3cfa10505e3b1d676d46fcd3f5",slug:"ionic-liquids-theory-properties-new-approaches",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/72.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"314",title:"Regenerative Medicine and Tissue Engineering",subtitle:"Cells and Biomaterials",isOpenForSubmission:!1,hash:"bb67e80e480c86bb8315458012d65686",slug:"regenerative-medicine-and-tissue-engineering-cells-and-biomaterials",bookSignature:"Daniel Eberli",coverURL:"https://cdn.intechopen.com/books/images_new/314.jpg",editedByType:"Edited by",editors:[{id:"6495",title:"Dr.",name:"Daniel",surname:"Eberli",slug:"daniel-eberli",fullName:"Daniel Eberli"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"57",title:"Physics and Applications of Graphene",subtitle:"Experiments",isOpenForSubmission:!1,hash:"0e6622a71cf4f02f45bfdd5691e1189a",slug:"physics-and-applications-of-graphene-experiments",bookSignature:"Sergey Mikhailov",coverURL:"https://cdn.intechopen.com/books/images_new/57.jpg",editedByType:"Edited by",editors:[{id:"16042",title:"Dr.",name:"Sergey",surname:"Mikhailov",slug:"sergey-mikhailov",fullName:"Sergey Mikhailov"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}},{type:"book",id:"1373",title:"Ionic Liquids",subtitle:"Applications and Perspectives",isOpenForSubmission:!1,hash:"5e9ae5ae9167cde4b344e499a792c41c",slug:"ionic-liquids-applications-and-perspectives",bookSignature:"Alexander Kokorin",coverURL:"https://cdn.intechopen.com/books/images_new/1373.jpg",editedByType:"Edited by",editors:[{id:"19816",title:"Prof.",name:"Alexander",surname:"Kokorin",slug:"alexander-kokorin",fullName:"Alexander Kokorin"}],productType:{id:"1",chapterContentType:"chapter",authoredCaption:"Edited by"}}]},chapter:{item:{type:"chapter",id:"61118",title:"Ionosphere Variability in Low and Mid-Latitudes of India Using GPS-TEC Estimates from 2002 to 2016",doi:"10.5772/intechopen.74172",slug:"ionosphere-variability-in-low-and-mid-latitudes-of-india-using-gps-tec-estimates-from-2002-to-2016",body:'Ionosphere consists of layers of earth’s atmosphere containing free electrons as a result of ionization of the atoms in this region by high energy from sun and cosmic rays. These layers of free electrons surrounding the earth from 60 to 1100 km altitude influence the GPS signal propagation, causing errors in positioning. Total electron content (TEC) is estimated from the dual frequency GPS receiver signals by extracting the phase advances and code delays caused by ionosphere. Precise TEC estimates give significant insights into the variability of ionosphere in space, time, geographical location and solar and cosmic activity. GPS based ionosphere research was initiated globally [1, 2, 3, 4, 5, 6] for large scale studies, local earthquakes, mine blasts, and so on. Spatial and temporal variability of ionosphere based on GPS-TEC estimates was studied by several researchers [7, 8, 9, 10, 11, 12, 13, 14, 15, 16, 17, 18] using GPS data in different regions of the world giving insights into the response of ionosphere due to the variations in solar activity, geomagnetic storms, and so on. Ionosphere maps for few regions were prepared from the GPS-TEC estimates from a network of stations.
In India, GPS based ionosphere studies were initiated after the establishment of dual frequency GPS stations in 2003 by Indian Space Research Organization and Airport Authority of India as a part of the GAGAN (Geo And GPS Augmented Navigation) program. For the first time in India, spatial and temporal variability [19] of equatorial ionosphere is studied using GPS-TEC estimates for a 16-month period (March 2004–June 2005) with low sunspot activity (LSSA) using 18 GPS station data covering a geomagnetic range of 1° S to 24° N. Using the same GAGAN network GPS data [20], estimates of GPS TEC were compared with the International Reference Ionosphere (IRI) predicted TEC values. They have also investigated diurnal, seasonal and annual variability of ionosphere over Indian subcontinent during the 16-month LSSA period. For a low latitude station Rajkot located near the equatorial ionization anomaly crest region in India [21], ionosphere variability during LSSA period (2005–2007) was investigated to give insights into solar activity dependence and effects of geomagnetic storm on GPS-TEC. Variability of GPS-TEC at a single station Udaipur in Rajasthan for a period of 2005–2010 was studied [22] and the result of seasonal variations are compared with IRI-2007 Model. Similarly diurnal and seasonal variation of GPS-TEC at a single station Agra, for the LSSA period (2006–2009) was studied [23]. GPS-TEC estimates for Surat GPS station [24, 25] were compared with model predictions from IRI-2007 and IRI-2012 and the ionosphere variability was investigated. GPS-TEC derived [26, 27] from a chain of Indian stations for a 1 year period (2011–2012) was used to study the diurnal, seasonal and latitude variability and its relation to geomagnetic storms, solar eclipse, and so on. They gave comparison of GPS-TEC with IRI-2012, Standard Plasmasphere-Ionosphere Model (SPIM) and Global Ionospheric Maps (GIM).
All the above studies so far reported in the Indian subcontinent were for a period of 1–2 years over single and network of GPS stations. For the first time we report the GPS-TEC estimates for a period spanning 14 years (2002–2016) covering solar cycle 23 (1996–2008) and 24 (2008–2019) from a network of about 24 cGPS stations (Figure 1; Table 1) with geodetic latitude ranging from 5 to 35° N and longitude ranging from 70 to 95° E in Indian subcontinent. New set of cGPS station data is used for the present study compared to majority of earlier ionosphere studies which use GAGAN network data and hence give an independent estimate of ionospheric TEC in this region. The geomagnetic latitude and longitude of these GPS stations (Table 1) is 0–26° N and 145–168° E which is very important for the study of ionosphere variability as equatorial region has the high ionosphere activity compared to the rest of the regions in the world. In addition, for the first time TEC estimates are reported for region beyond the EIA region in the Indian subcontinent using cGPS data. Annual, spatial, seasonal, diurnal variability of ionosphere is presented using these TEC estimates and its relation to solar activity, EEJ, EIA is investigated.
cGPS stations used in the study with geomagnetic latitude lines. Geomagnetic equator (0° N) passes through the bottom tip of Indian subcontinent and northern crest of EIA is located at geomagnetic latitude of 15° N. Red stars are IGS (International GNSS service) sites and blue squares are cGPS sites.
Station | Site code | Data span | Geodetic latitude (° N) | Geodetic longitude (° E) | Geomagnetic latitude (° N) | Geomagnetic longitude (° E) |
---|---|---|---|---|---|---|
Trivandrum | TVM_ | 2002–2005 | 8.42 | 76.97 | −0.02 | 149.95 |
Kodaikanal | KODI | 2002–2015 | 10.23 | 77.47 | 1.73 | 150.59 |
Bengaluru | IISC | 2002–2015 | 13.02 | 77.57 | 4.49 | 150.93 |
Hyderabad | HYDE | 2002–2015 | 17.42 | 78.55 | 8.76 | 152.24 |
Pune | PUNE | 2002–2005 | 18.56 | 73.88 | 10.29 | 147.85 |
Bhubaneswar | BHUB | 2002–2012 | 20.26 | 85.79 | 11.09 | 159.39 |
Aizwal | AIZW | 2003–2006 | 23.72 | 92.73 | 14.18 | 166.17 |
Dhanbad | DHAN | 2004–2005 | 23.82 | 86.44 | 14.58 | 160.24 |
Bhopal | BHOP | 2004–2005 | 23.21 | 77.45 | 14.59 | 151.68 |
Bela Temple | BELP | 2010–2011 | 23.87 | 70.80 | 15.84 | 145.46 |
Khavda | KHAV | 2010–2011 | 23.92 | 69.77 | 15.98 | 144.48 |
Shillong | CSOS | 2002–2008 | 25.57 | 91.86 | 16.05 | 165.43 |
Mount Abu | MABU | 2010–2011 | 24.65 | 72.78 | 16.42 | 147.41 |
Lumami | LUMA | 2003–2015 | 26.22 | 94.48 | 16.60 | 167.92 |
Guwahati | GHTU | 2003–2012 | 26.15 | 91.66 | 16.64 | 165.28 |
Tezpur | TZPR | 2002–2013 | 26.62 | 92.78 | 17.06 | 166.35 |
Bomdilla | BOMP | 2004–2013 | 27.27 | 92.41 | 17.72 | 166.04 |
Lucknow | LUCK | 2002–2005 | 26.89 | 80.94 | 17.98 | 155.29 |
Panthang | GBSK | 2003–2014 | 27.37 | 88.57 | 17.99 | 162.45 |
Delhi | DELH | 2003–2005 | 28.48 | 77.13 | 19.85 | 151.87 |
Lhasa | LHAZ | 2002–2015 | 29.66 | 91.10 | 20.15 | 164.94 |
Almora | GBPK | 2002–2014 | 29.64 | 79.62 | 20.81 | 154.30 |
Hanle | IAOH | 2002–2015 | 32.78 | 78.97 | 23.97 | 153.99 |
Leh | RSCL | 2002–2012 | 34.13 | 77.60 | 25.42 | 152.91 |
Details of cGPS stations used in the present study.
cGPS data, during 2002–2016, of about 24 cGPS stations (Table 1; Figure 1) located in the Indian subcontinent with data span ranging from 2 to 13 years with sampling interval of 30 s has been used. The dataset span is more than any previous study till date and spatially covers the length and breadth of the Indian subcontinent. Details of the cGPS sites and the data used are listed in Table 1 and the data is analyzed using GAMIT software [28]. Data sampling interval of 30 s and elevation cut-off angle of 20° is used for the analysis. The quality check of GPS data at each station was done using TEQC software [29] to remove data with several cycle slips, multipath and span of less than 18 h. The daily data of all the stations after quality check is analyzed using GAMIT to extract the ionospheric delays suffered by GPS signals in L-band with frequency
where, ambiguity constant
where,
where,
TEC is computed at 30 s interval during the orbital pass of the each satellite at the each GPS station for all the 24 cGPS stations during 2002–2016. Two-sigma iterated average of TEC at 30 s interval is computed from the TEC of all the visible satellites at that epoch. GPS-TEC thus estimated is used to discuss the ionosphere variability over Indian subcontinent.
Ionosphere is highly variable in space (geographical location) and time (solar cycle, seasonal, diurnal) and with solar-related ionospheric disturbances and earthquakes. About 15 cGPS sites are located in the equatorial ionization anomaly (EIA) region from geomagnetic equator to northern crest of EIA region (17° N) where the low latitude ionosphere exhibits annual, spatial, seasonal and diurnal variability. Nine cGPS sites are located in mid-latitude region beyond the EIA region in northern India and Himalaya. Using the GPS-TEC estimates, variability of ionosphere is discussed in the subsequent sections.
There are about 12 sites with data span covering the two solar cycles. Daily mean value of GPS-TEC is plotted for these stations from 2002 to 2016 in Figure 2 to study the annual variability of ionosphere over the 14-year period. The last solar cycle 23 lasted for 12.3 years starting in August 1996 and ending in December 2008 with peak solar activity between 2001 and 2005 at low- and mid-latitude regions. The current solar cycle 24 began on January 4, 2008 with minimal solar activity till early 2010 and had two peaks in 2011 and early 2014. TEC at almost all the stations indicate the peak (2002–2005) and descending phase (2005–2008) of solar cycle 23. This is followed by low values of TEC during 2008–2010 consistent with minimum solar activity of current solar cycle 24 and high values of TEC during 2011 to 2014 consistent with peak solar activity. The TEC variation is higher for the sites (KODI, IISC, HYDE, BHUB, CSOS) which are located in the EIA region with a peak TEC value of 100–120 TECU in 2002 and 60–80 TECU in 2003. For the rest of the sites (GBPK, IAOH, RSCL, GBSK, BOMP, TZPR, LHAZ) located beyond the EIA region, the TEC variability is low and depends upon the geographic location of these sites which is discussed in detail in the subsequent sections. Daily mean value of TEC plotted in Figure 2 indicates significant semi-annual and annual cycles. Sensitivity of TEC to solar activity is stronger at low latitudes when compared to mid-latitudes in the northern hemisphere.
Daily mean GPS TEC values for 12 cGPS stations with increasing latitude.
For the Indian subcontinent, geomagnetic equator passes through the southern bottom tip and the northern crest of EIA (15° N geomagnetic latitude) lies in the middle (Figure 1) providing a unique opportunity for studying the ionosphere variability. Since we have several stations and a larger spread of data, we give detailed in-depth study of spatial variation of ionosphere from 5 to 35° N latitude (0–26° N geomagnetic latitude) and 70 to 95° E longitude. Also since the data covers different phases of two solar cycles, the results are given separately for each solar cycle.
TEC variability for all the available days of December 2004, March, June, September and December 2005 representing the solstice, equinox, summer and winter seasons are plotted in Figures 3–5 for cGPS stations with geomagnetic latitude of 0–10° N, 10–17° N, >17° N to study the spatial, diurnal and seasonal variability in EIA region, northern crest of EIA and beyond. To study in detail the variability along the latitude, 10 sites were chosen with approximately same longitude (TVM_, KODI, IISC, HYDE, BHOP, DELH, GBPK, IAOH, RSCL) starting from geomagnetic equator covering the EIA region and beyond for the descending phase of solar cycle 23 from December 2004 to 2005. The peak value of diurnal TEC increases with latitude from geomagnetic equator (Trivandrum, 50 TECU) to Northern crest of EIA region (Bhopal, 80 TECU) and then decreases gradually from Delhi (50 TECU) to Leh (40 TECU) station located beyond the EIA region. Moreover, the maximum value of diurnal TEC (Figure 3) is for a longer duration for the stations (TVM_, KODI, IISC, HYDE) close to the geomagnetic equator when compared to the stations located in crest of EIA region and beyond (Figures 4 and 5) which have more pronounced diurnal peaks. Conversely, the diurnal minima have longer duration and broad spread for the stations located in crest of EIA region and beyond as compared to the stations located close to geomagnetic equator. Day-to-day variability of diurnal TEC is more pronounced for the stations located in EIA region (Figure 4) when compared to the rest of the stations.
Daily diurnal GPS TEC during solar cycle 23 (2004–2005) for cGPS stations located between 0 and 10° N geomagnetic latitude.
Daily diurnal GPS TEC during solar cycle 23 (2004–2005) for cGPS stations located between 10 and 17° N geomagnetic latitude.
Daily diurnal GPS TEC during solar cycle 23 (2004–2005) for cGPS stations above 17° N geomagnetic latitude.
Pune and Bhubaneswar, Bhopal and Aizwal stations with 12 and 15o E longitude difference located in the northern crest of EIA region do not indicate any consistent variability related to longitude. Beyond EIA region DELH and BOMP, GBPK and LHAZ with 12 and 15o E longitude difference also do not show any significant longitude related variability during this period.
The current solar cycle started in January 2008 and had minimum solar activity between the year 2008 and early 2010 followed by ascending solar activity. GPS TEC for March, June, September and December for 3 years (2009, 2010, 2011) for all available station data are plotted in Figures 6–8 to study the spatial and temporal variability of the ionosphere during the low and ascending phase of current solar cycle. During the minimum solar activity year of 2009 stations (Figure 6)with increasing latitude (IISC, GHTU, GBSK, LHAZ) indicate marginal increase of TEC value (35–40 TECU) in EIA region from IISC to GHTU and marginal decrease beyond EIA region (GBSK, LHAZ). In 2010 (Figure 7), TEC value gradually increases from 40 to 60 TECU with increase in latitude in EIA region and marginal decrease beyond EIA region. In 2011 (Figure 8), peak TEC values ranging from 40 to 80 TECU are observed at IISC and the rest of the stations located in EIA with no consistent variation with latitude. Day-to-day variability of TEC is more pronounced in the EIA region during 2010 and 2011 when compared to 2009. Diurnal peak TEC value is for longer duration at Bengaluru and Hyderabad whereas pronounced peaks are observed in EIA region and beyond. Diurnal minima are for longer duration for the stations located in EIA region and beyond. Spatial variability of ionosphere between geomagnetic latitude of 0–17° N is not very pronounced during the current solar cycle when compared to the duration of diurnal peak and minimum TEC values.
Daily diurnal GPS TEC during solar cycle 24 for cGPS stations with increasing latitude during minimum solar activity year 2009.
Daily diurnal GPS TEC during solar cycle 24 for cGPS stations with increasing latitude during low solar activity year 2010.
Daily diurnal GPS TEC during solar cycle 24 for cGPS stations with increasing latitude during ascending solar activity year 2011.
During the ascending solar activity period of 2011, diurnal peak TEC values of 60 TECU are observed at KHAV, MABU and BELP stations (about 70° E longitude) when compared to diurnal peak TEC values of 80 TECU observed at GHTU and LUMA stations (90° E longitude). Distinct peaks are observed with increasing longitude. This indicates that during ascending phase of solar cycle the ionosphere increases with longitude difference of 19–25° E in the EIA region.
Diurnal variability of TEC depends on the Sun’s orbit, changes in solar activity and intensity of radiance, earth’s magnetic field and dynamics of neutral winds (diffusion of transported electrons from the equator). Plasma flow associated with the EIA effects the day-to-day variability of diurnal TEC for the stations located in EIA region. Geomagnetic and seismo-ionosphere disturbances also effect the day-to-day variability of diurnal TEC. Results of diurnal variability for two solar cycles is given below.
Diurnal variability of TEC at all the stations in Figures 3–5 shows the minima during the night hours between 17 and 24 h UT and increasing TEC from 0 h UT to peak at midday between 8 and 11 h UT. The highest peak value of diurnal TEC (80 TECU) is observed at stations (BHOP, BHUB, CSOS, LUMA, GHTU) located in northern crest of EIA region and the lowest peak (20 TECU) is recorded at RSCL and IAOH located in Ladakh Himalaya beyond the EIA region. Moreover, the maximum value of diurnal TEC has longer duration (5–12 h UT) for the stations (TVM_, KODI, IISC, HYDE) close to geomagnetic equator when compared to the stations located in EIA region and beyond which have more pronounced diurnal peaks. Conversely, the diurnal minima have longer duration (15–24 h UT) and broad spread for the stations located in EIA region and beyond as compared to the stations located close to the geomagnetic equator. Day-to-day variability of diurnal TEC is more pronounced for the stations located in EIA region when compared to the rest of the stations.
Seasonal variability of diurnal TEC is clearly depicted in Figures 3–5 with low TEC values during summer solstice (June) and high values for winter solstice and equinoxes for all the stations from geomagnetic equator to the northern crest EIA region. Beyond the EIA region, higher values of diurnal TEC with pronounced peaks were observed during the equinox month of March and lower TEC values during equinox month of September. For Trivandrum located on the geomagnetic equator, diurnal TEC values are the highest for March equinox whereas for Kodaikanal and Bengaluru the higher values of TEC are observed for December 2004 in winter. The lowest TEC was observed at Bengaluru during the solstice month of June. For the rest of the stations located in EIA region, the highest TEC value was observed during March and September equinox. Maximum spread of day-to-day variability of diurnal TEC is observed in the EIA region during the equinox months of March and September. Higher TEC values during December 2004 is due to the increase of electrons in winter caused by the transport of neutral constituents from summer to the winter hemisphere. This in turn increases the anomaly crest development in the winter. In addition, this may be also due to the seismo-ionospheric disturbance caused by Mw of 9.2, 26 December 2004 Sumatra earthquake [32] which affected the cGPS stations in southern India.
Diurnal peak TEC values from 2009 to 2011 (Figures 6–8) increase with the increase in the solar activity from a minimum peak value of 30–40 TECU during 2009; 30–60 TECU in 2010; 40–80 TECU during 2011. Diurnal peak values occur for a long duration of 7–13 h UT for IISC located in the trough of EIA whereas for station located in the crest of EIA region pronounced diurnal peaks are observed between 7 and 10 h UT. Diurnal peak values are marginally higher for stations located in the crest of EIA regions. Diurnal minima for IISC occur during 20–24 h UT and for stations located in the crest of EIA region diurnal minima occur during 15–24 h UT. Gujarat stations (KHAV, BELP, MABU) recorded anomalous daily diurnal variation with very high day-to-day variability. For these three stations, diurnal peaks are not very distinct and the diurnal minima suddenly drops in the night hours and remains constant (15–24 and 0–2 h UT). Diurnal peak values are the highest with the maximum spread during equinox months of March and September for stations located in the northern crest (17° N geomagnetic latitude) of EIA region. For Bengaluru and Hyderabad (5–9° N geomagnetic latitude) station high diurnal peak values are observed during equinox month of September and solstice month of December. Daily diurnal TEC values at LHAZ and GHTU stations (Figure 8) indicate very high and random variability related to seismo-ionospheric disturbance due to Mw 6.9, 18 September 2011 Sikkim earthquake. It can be observed that the diurnal variability depends on the solar activity, solar radiance, geomagnetic field, latitude, longitude and plasma flow related to EIA effects.
Monthly diurnal mean values of TEC are plotted from November 2004 to December 2005 for all the stations between geomagnetic equator and northern crest of EIA (0–17° N geomagnetic latitude) in Figure 9 and beyond EIA region in Figure 10. The highest peak TEC values for all the sites in EIA region distinctly occur in November 2004 with a value of about 86 TECU for CSOS, 70 TECU for Bhopal to about 58 TECU for Kodaikanal. The lowest peak TEC values occur during the months of June, July, August for these sites with about 50 TECU at CSOS, 43 TECU for Bhopal to 35 TECU for Bengaluru. The highest peak TEC value during winter solstice and the lowest peak TEC value during summer solstice are due to seasonal anomaly prevalent in winter hemisphere due to increase in electrons caused by meridional neutral winds. For the sites beyond the EIA region (Figure 10), the highest peak TEC values (35–50 TECU) occur in the summer equinox months (March, April, May) and winter solstice month of November 2004 and the lowest peak TEC values (20–30 TECU) occur in January.
Monthly mean diurnal GPS TEC with increasing latitude for cGPS stations between 0 and 17° N geomagnetic latitude during solar cycle 23 from November 2004 to December 2005.
Monthly mean diurnal GPS TEC with increasing latitude for cGPS stations above 17° N geomagnetic latitude during solar cycle 23 from November 2004 to December 2005.
Monthly diurnal mean TEC values are plotted from January to December for low solar activity period of 2009 (Figure 11) and ascending solar activity period of 2011 (Figure 12). Monthly and seasonal cycle is not very pronounced during the low solar activity period of 2009 with marginally higher peak values recorded during October for IISC (35 TECU) and March for GHTU (40 TECU) and lower peaks during January (20–30 TECU) in the EIA region. For the ascending solar activity period of 2011, the monthly and seasonal variation is distinct with the highest (80 TECU) in EIA region during October and November and the lowest during January (20–30 TECU) consistent with the winter anomaly observed in the northern hemisphere.
Monthly mean diurnal GPS TEC for cGPS stations with increasing latitude during solar cycle 24 for minimum solar activity year 2009.
Monthly mean diurnal GPS TEC for cGPS stations with increasing latitude during solar cycle 24 for ascending solar activity year 2011.
For the first time an in-depth study of ionosphere variability in low and mid-latitude region using TEC estimates from 24 cGPS stations for a 14-year (2002–2016) period is carried out. The cGPS data covers peak (2002–2004), descending phase (2005–2008) of solar cycle 23 and minimum (2008–2010), ascending phase (2011–2016) of current solar cycle 24.
Inter-annual variability of GPS-TEC depicts the peak, descending phase of solar cycle 23 and minimum, ascending phase of solar cycle 24. Maximum TEC values are observed during 2002–2004 and minimum TEC values are observed during 2008–2010. GPS TEC indicates a distinct daily, monthly, semi-annual and annual cycle. Sensitivity of TEC to solar activity is prominent in EIA region compared to mid-latitudes in northern hemisphere. TEC values recorded are consistent with large-scale electrodynamics associated with the equatorial electrojet (EEJ), plasma fountain, equatorial ionization anomaly (EIA), equatorial wind and temperature anomaly, which affect the ionosphere variability at equatorial and low latitude regions. The high variability of equatorial and low latitude ionosphere are due to the perfect horizontal alignment of the geomagnetic field lines at the dip equator and the shifting between the geographic and geomagnetic equator.
GPS-TEC values increase from geomagnetic equator to the crest of EIA region (17° N geomagnetic latitude) after which they gradually decrease toward mid-latitudes in the northern hemisphere. Latitude variability of ionosphere is more pronounced during the high solar activity years (2002–2004) when compared to low solar activity years (2008–2010). Diurnal peak TEC value has longer duration between 0 and 9° N geomagnetic latitude. Diurnal maxima have pronounced peaks and diurnal minima is observed for longer duration in the northern crest of EIA region and beyond. Ionosphere variability with longitude is observed for longitude difference of 19° E and above during the ascending phase of current solar cycle 24. Normally, solar radiation strikes the atmosphere more obliquely with increasing latitude decreasing its intensity and production of free electrons, whereas near the geomagnetic equator its strikes horizontally with eastward electric field during day and westward during night. This causes plasma diffusion along magnetic field lines at approximately ±15° geomagnetic latitudes forming crests on both the hemispheres (EIA region). Hence, TEC increases gradually from geomagnetic equator to the EIA crest, beyond which it decreases toward the mid-latitude regions. Intensity of EIA and its latitude of crest development vary with the strength of EEJ, season and solar activity. Our study indicates that the northern crest of EIA region extends up to about 17–18° N geomagnetic latitude in Indian region.
Diurnal variability of ionosphere depends on the intensity of solar activity, season and strength of geomagnetic field with high TEC values recorded in 2004 and 2011 and low values in 2009. Day-to-day variability is more pronounced for the high solar activity years when compared to low solar activity years. Maxima occurs during midday (7–13 h UT) with longer duration for geomagnetic latitudes between 0 and 9° N and pronounced peaks for greater than 9° N.
Monthly diurnal mean TEC values are the highest in November and the lowest in the months June to August for solar cycle 23 and increase with latitude in the EIA region. This is due to the winter anomaly observed in the EIA region of northern hemisphere and is consistent with previous studies. Beyond EIA region, the high values are observed in the summer equinox months and November and minimum values occur during January. For the current solar cycle 24, the monthly and seasonal variability is marginal for the low solar activity year (2009) when compared to 2011. In the EIA region, the highest values are recorded during October-November and the lowest during January for ascending phase (2011) of current solar cycle 24. The seasonal and monthly variation is random depending upon the intensity of solar cycle and seasons in each year.
In summary, the temporal and spatial variability of equatorial, low and mid-latitude ionosphere reported using the GPS-TEC estimated from new GPS data during 2002–2016 are broadly consistent with previous studies globally and specific to the Indian subcontinent. When compared to previous studies, present study with longer data span and spatial spread gives significant insights into the randomness of day-to-day variability of ionosphere as detailed above. This high and random variability of TEC is due to the changes associated with solar activity, intensity of the sun radiation and zenith angle at which they impinge the earth’s atmosphere. TEC variability on quiet days depends on the changes in Earth’s magnetic field and EEJ strength. In equatorial and low-latitude region of Indian subcontinent there is intense east–west electric current (EEJ) due to neutral winds and the plasma flow associated with the EIA plays a significant role in the day-to-day variability of diurnal TEC. Ionosphere is also affected by solar and geomagnetic storms, solar eclipse, seismic disturbances, volcanic eruptions, tsunamis, and so on. Indian Space Research Organisation in collaboration with Airports Authority of India developed a model to predict TEC in the Indian region which can be used to provide TEC maps. They have used GAGAN (GPS Aided Geo Augmented Navigation) ground network of 18 stations for this model and predict TEC between 8 and 30° N latitude and 60–100° E longitude. Since the present study uses a new set of cGPS data for a 14 year period, benchmarking ISRO ionosphere model with the current data and combining with the current TEC estimates would give an opportunity to develop precise ionosphere models and maps for this region. In addition these GPS-TEC estimates can be used to model the spatial and temporal variability of the low and mid latitude ionosphere specific to Indian subcontinent. GPS TEC study has several applications in varied fields such as precise positioning, navigation, seismo-ionosphere coupling, propagation of radio waves and solar-terrestrial events.
This is a CSIR-4PI ARiEES contribution. We thank the anonymous reviewers for their time and effort.
Authors declare that there is no conflict of interest.
Notes: We used total of 55 cGPS stations data during 2002–2016 to estimate TEC. We have chosen about 24 cGPS data with common epochs to given the comparative study of ionosphere variability in this chapter.
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), initiated in Wuhan in China, revisited 17 years later an outbreak that started in 2002 in China caused by a virus very similar to SARS-CoV-2 [1]. Identification and sequencing of the virus responsible for COVID-19 determined that it was a novel coronavirus that shared 88% sequence identity with two bat-derived SARS-like CoV, suggesting it’s origin in bats [2]. Additionally, it was shown that this coronavirus, which was termed 2019-nCoV or SARS-CoV-2, shared 79.5% sequence identity with SARS-CoV [2].
After inhalation of SARS-CoV-2, it invades nasal epithelial cells (superior respiratory tract) and type II pneumocytes through binding the SARS spike protein to angiotensin-converting enzyme 2 (ACE-2) receptors [3]. This complex is proteolytically processed by transmembrane protease serine 2 (TMPRSS2), leading to cleavage of ACE-2 and activation of the spike protein, thereby facilitating viral entry into the target cell. For SARS-CoV-2 entry into a host cell, its spike protein needs to be cleaved by cellular proteases at 2 sites, termed S protein priming by the serine protease TMPRSS2, then the viral and cellular membranes can fuse [4]. It has been suggested that cells in which both ACE-2 and TMPRSS2 are expressed are most susceptible to entry by coronaviruses from the SARS family, among which is the virus described to cause SARS and, also SARS-CoV-2 [4, 5].
In relation to the mechanism of infection, the infected cells trigger the host’s immune response, and the inflammatory cascade is initiated by innate immune cells, being the host environment extremely important for internalization and multiplication of the virus [6]. Possible mechanisms of receptor and signaling mechanisms responsible for induction of inflammatory mediators, such as cytokines or chemokines, may be related to the release of danger signal molecules, like certain cytokines, or may be involve a different recognition pathway mediated by immune cells throughout known pattern recognition receptors, such as toll-like receptors (TLRs) [7].
The heterologous protection against infections through epigenetic, transcriptional, and functional reprogramming of innate immune cells may contribute to different susceptibility to severity of SARS-CoV-2 [7, 8]. Furthermore, the changes in metabolic and endocrine pathways associated with SARS-CoV-2 infection may untangle a more profound understanding of this disease and contribute to a more adequate response.
Although the SARS-CoV-2 infection is highly associated to respiratory infection, it is also true, that this infection reflects a systemic involvement with multiple symptoms, including fever, persistent dry cough, shortness of breath, chills, muscle pain, headache, loss of taste or smell, and gastrointestinal symptoms [9]. Interestingly, according to the clinical features of individuals affected with SAR-CoV-2, a significant proportion of patients initially present some atypical gastrointestinal symptoms such as diarrhea, nausea, and vomiting [10].
Coronaviruses are one of many pathogens known to cause postinfectious olfactory dysfunction, nasal epithelial cells and mainly goblet cells in a high expression patterns of the ACE-2 receptor, which is required for SARS-CoV-2 entry. Olfactory dysfunction and anosmia are highly implicated in SARS-CoV-2 infection. The inclusion of loss of smell or taste among these symptoms follows the emergence of evidence suggesting that SARS-CoV-2 frequently impairs the sense of smell. Olfactory disfunction, defined as reduced or distorted ability to smell during sniffing (orthonasal olfaction) or eating (retronasal olfaction), is often reported in mild or even asymptomatic cases [11]. There have also been reports of acute-onset (sudden) anosmia, sometimes in the absence of other symptoms, as a marker of SARS-CoV-2 [12].
Disruption of cells in the olfactory neuroepithelium may result in inflammatory changes that impair olfactory receptor neuron function, cause subsequent olfactory receptor neuron damage, and/or impair subsequent neurogenesis [13]. Such changes may cause temporary or longer-lasting olfactory disease.
Inflammatory signaling molecules are released by infected cells and alveolar macrophages in addition to recruited T lymphocytes, monocytes, and neutrophils. Subsequently the integrity of the alveolar-capillary membrane is compromised by the inflammatory response triggered by SARS-CoV-2 [14]. In the late stage, pulmonary edema can fill the alveolar spaces with hyaline membrane formation, compatible with early-phase acute respiratory distress syndrome [14], bradykinin may contribute to this pulmonary edema [15].
Another contribution for systemic reaction of SARS-CoV-2 infection is the nasal gene expression of ACE-2. Indeed, the lower rates of SARS-CoV-2 infection were found in children. From nasal epithelial samples collected as part of a study involving patients with asthma from 2015 to 2018, a comprehending a cohort of 305 patients aged 4 to 60 years, evidenced that the lower expression of ACE-2 in the nasal epithelium were found in younger children and ACE-2 expression was higher with each subsequent age group after adjusting for sex and asthma [16]. Yet, a recent study bring some data that children may be a potential source of contagion in the SARS-CoV-2 in spite of milder disease or lack of symptoms, and immune dysregulation is implicated in severe post-infectious multisystem inflammatory syndrome in children [17].
Overexpression of human ACE-2 enhanced disease severity of SAR-CoV-2 infection, being the lung injury aggravated by the presence of SARS-CoV spike. Interestingly, in mice model, the lung injury was attenuated by blocking the renin-angiotensin pathway and depended on ACE-2 expression [18].
In contrast to other coronaviruses, SARS-CoV-2 became highly lethal because the virus deregulates a lung protective pathway. About 83% of cells that express ACE-2 were alveolar epithelial type II cells (AECII), suggesting that those cells can serve as a reservoir for viral invasion [19]. In addition, gene ontology enrichment analysis showed that the expression ACE-2 by AECII have high levels of multiple viral process-related genes, including regulatory genes for viral processes, viral life cycle, viral assembly, and viral genome replication, suggesting that the ACE2-expressing AECII facilitate viral replication in the lung [20].
Expression of the ACE-2 receptor is also found in many extrapulmonary tissues including heart, kidney, and intestine [21]. In human lung, the ACE-2 is expressed in endothelial and smooth muscle cells of large and small blood vessels, and in alveolar and bronchial epithelial cells.
Contrarily to ACE-1, the ACE-2 is barely present in the circulation, but widely expressed in mentioned organs. Although ACE-2 is more related to the physiopathology of SARS-CoV, ACE-1 converts angiotensin I into angiotensin Ang II, then ACE-2 break down angiotensin II into molecules that counteract angiotensin II, but if the virus occupies the ACE-2 ‘receptor’ on the surface of cells, then its role is blunted [22]. Angiotensin I, can cause vasoconstriction, inflammation, and fibrosis by signaling through angiotensin II type 1 receptors. ACE-2 cleave angiotensin II to angiotensin 1–7, which can suppress inflammation and fibrosis and generate vasodilation by binding to the
Integrative schematic diagram of the role of ACE (ACE-1), ACE-2 and collectrin in the renin–angiotensin system (a) (adapted from [
Moreover, ACE-2 is a negative regulator of the renin-angiotensin system (RAS), and functions as the key SARS coronavirus receptor and stabilizer of neutral amino acid transporters [27]. As previously mentioned, the ACE-2 catalyzes the conversion of angiotensin II to angiotensin 1–7, thereby counterbalancing ACE activity, and converts angiotensin I to generate angiotensin 1–9 [3]. The RAS is an acute phase pathway involved in the multisystemic response of cardiovascular and hematopoietic systems, maintenance of blood pressure homeostasis, as well as fluid and salt balance in mammals [28]. Abnormal activation of RAS has been associated with the pathogenesis of cardiovascular and renal diseases such as hypertension, myocardial infarction and heart failure. Therefore, these disorders share underlying pathophysiology related to the RAS and COVID19 that may be clinically insightful [29].
Cardiovascular disease and pharmacologic RAS inhibition both increase ACE-2 levels, which may increase the virulence of SARS-CoV-2 within the lung and heart, since the receptor of the two viruses is the same enzyme protein of the cell membrane [32]. Conversely, mechanistic evidence from related coronaviruses suggests that SARS-CoV-2 infection may downregulate ACE-2, leading to toxic over accumulation of angiotensin II that induces acute respiratory distress syndrome and fulminant myocarditis [33]. Therefore, RAS inhibition could mitigate this effect [34]. ACE-2 genetic variants may determine the circulating angiotensin 1–7 levels only in hypertensive females that probably had dose effects related to the localization in the X Chromosome of ACE-2 gene [35].
The bradykinin-kallikrein system can further contribute to local vascular leakage leading to angioedema, due to a local vascular problem because of activation of bradykinin 1 receptor (B1R) and B2R on endothelial cells in the lungs. The RAS is needed to inactivate des-Arg9 bradykinin, which is a potent ligand of the B1R [15]. In the late stage, pulmonary edema can fill the alveolar spaces with hyaline membrane formation, compatible with early-phase acute respiratory distress syndrome.
Other aspect to be pointed out is collectrin (Figure 1a), an homolog of ACE-2, that have been identified as essential molecules required for expression of neutral amino acid transporters on the cell surface of epithelial cells. Collectrin (Tmem27) is a transmembrane glycoprotein that is highly expressed in the kidney and vascular endothelium [36]. Furthermore, concordant with metabolic and endocrine changes associated with SARS-CoV-2 infection, collectrin might also have a role in insulin secretion in pancreatic β-cells and/or growth of islet cells [37].
Detailing the mechanism of ACE-1 and its possible role in SARS-CoV-2, ACE-1 has pleiotropic actions involving the cardiovascular and hematopoietic systems [23, 24, 25]. The two catalytic domains of ACE-1 has different affinities for its promiscuous substrates respectively in the N domain for goralitide or N-acetyl-seryl-aspartyl-lysyl-proline (NacSDKP), an inhibitor of hematopoiesis and fibrogenesis and that have influence on blood pressure predominantly the C-domain for Angiotensin I or for both domains as is the case of Bradykinin [25, 27].
Unpublished results from our group reflected an inverse correlations of ACE activity with antioxidant erythrocyte and plasma activity enzymes, and direct correlation with lower relative concentrations of glutathione associated to proinflammatory conditions like obesity and several autoimmune diseases (Figure 2).
Correlation between ACE and transmembrane redox system (a), erythrocyte methaemoglobin reductase (b), plasma epinephrine oxidase (c) and with plasma ratio of oxidized glutathione to reduced glutathione (d).
In terms of detection of SARS-CoV-2, the RT-PCR is a cheaper, easier and short turn-around time method for detection of RNA component of SARS-CoV-2, in upper respiratory samples, comparing with sequencing technology. Considering the genetic variability, the ACE-1 Insertion/Deletion (I/D) functional polymorphism influence its activity in plasma as it was reported by us and other authors (Figure 3a) [23, 38]. However, the ACE I/D polymorphism is not associated with increased susceptibility or poor outcome after SARS-CoV-1 infection [39]. Paradoxically, in studies on longevity from our and other groups, individuals with DD genotype, with higher activities of ACE, are more represented in centenarians [40, 41].
Distribution of ACE activity according to ACE (a) and SERT (serotonin transporter) (b) genotypes.
The response to this pathway when exaggerated, as is the case of the SARS-CoVs infections, causes intense inflammatory and fibrogenic processes. On the contrary, the system initiated by ACE-2 also has pleiotropic antagonistic actions of the classic system and it has an anti-inflammatory and anti-fibrogenic system [42]. Furthermore, both systems have functional polymorphic genetic variations [23, 38, 39, 43, 44, 45].
Genetic polymorphisms in the RAS are putative markers prone to affect the clinical course of SARS-CoV-2 infection. Cao et al. in 2020 suggested that ACE-2 and SARS-CoV-2 associated frequencies among populations can be justified by allele sequences distributions. The greatest are in East Asians populations with higher expressions in tissues that suggest different susceptibilities or response to SARS-CoV-2 in different ecosystems [44].
As previously mentioned, the major clinical complication in patients with SARS-CoV-2 is respiratory failure due to local hyperinflammation and acute respiratory distress syndrome. The pathophysiology of these complications has strong similarities to other severe viral lung infections, such as influenza, and other infections caused by coronaviruses (SARS and Middle East respiratory syndrome). An important mechanism mediating lung pathology in these infections is a cytokine storm leading to the so-called “macrophage activation syndrome” with crucial role for monocytes and macrophages [46, 47].
Accordingly with the major clinic complications of this infection, this extreme inflammation compromises the respiratory performance, which often requires ventilator support or, even, extracorporeal membrane oxygenation [48]. However, in approximately 80% of cases, the latter did not prevent mortality, owing to insufficient lung perfusion, which could be explained by developing thromboembolic complications. In this context, clinical trials are underway to determine whether anticoagulants (e.g., heparin) or profibrinolytic drugs (e.g., tissue plasminogen activator) ameliorate severe infection with thromboembolic complications [30, 49].
From the inflammatory perspective, these infection leads to changes in circulating concentrations of proinflammatory cytokines, such as interleukin (IL)-6, tumor necrosis factor (TNF), monocyte chemoattractant protein-1 (MCP-1), macrophage inflammatory protein 1-alpha (MIP1A), and interferon gamma-induced protein 10 (IP10), comparing patients in intensive care unit (ICU) and to those who do not need treatment in the ICU, although the concentrations of some of these cytokines are only moderately increased [50]. This strong increase in systemic inflammation is associated with endothelial dysfunction, increased coagulation activity reflected by elevated d-dimers [50] and hyperactive CCR6 + Th17+ T cells locally in the lung [9]. The increase in systemic concentrations of proinflammatory cytokines was minimal, even during days 7–9, when the patient was symptomatic. This suggests that a mild course of infection is associated with few systemic inflammatory effects. Still, the hyper-inflammation occurs in SARS-CoV-2 and is associated with worse outcomes [48].
Gender differences have been widely discussed in different pathologies, indeed these differences may reflect sex chromosome genes and sex hormones, including estrogens, progesterone, and androgens, with implications to the differential regulation of immune responses between the genders [51]. In studies of hypertension, there is a clear difference between genders taking on account the distribution of ACE-2 genetic polymorphisms associated levels of angiotensin 1-7 [52].
Concerning SARS-CoV-2 infection, a male bias in mortality has emerged in the COVID-19 pandemic, which is consistent with the pathogenesis of other viral infections. Biological gender differences may manifest themselves in susceptibility to infection, early pathogenesis, innate viral control, adaptive immune responses or the balance of inflammation and tissue repair in the resolution of infection [53]. The differences in immune response according with gender, suggest less robust T cell-mediated immunity in male patients with worsening outcome and higher innate cytokine activity, compared to female patients [54].
Evidence reflected the gender as an important driver of risk of mortality and response to the SARS-CoV-2 pandemic. The sex differences in SARS-CoV-2 mortality, severity and recovery, may underly implications of cardiovascular disease (CVD) risk factors, reflecting a plausible biological reasons for this sex difference in SARS-CoV-2 infection [55]. This disproportionate death ratio in men may partly be explained by their relatively higher contribution of pre-existing diseases (i.e., CVD, hypertension, diabetes, and chronic lung disease), higher risk behaviors (i.e., smoking and alcohol use), and occupational exposure [55]. There may be other behavioral and social differences that favor women, with prior studies suggesting women are more likely than men to follow hand hygiene practices and seek preventive care [55].
The host metabolism supports viral pathogenesis by fueling viral proliferation, by providing free amino acids and fatty acids as building blocks. Alterations in tryptophan metabolism and kynurenine pathway regulates inflammation and immunity [56]. The indolamine-2, 3-dioxygenase (IDO) is an intracellular, non-secreted enzyme, which catabolizes kynurenine from tryptophan with interesting role in viral and bacterial infections [57]. Since many microbial organisms rely on the essential amino acid tryptophan, its degradation by IDO-expressing cells of the innate immune system was favored as the major IDO-mediated mechanism against infections [58]. In infectious disease states, IDO has been shown to exert pleiotropic effects, even with opposing outcomes. IDO prevents viral spread and from host perspective also acts to suppress immune reactions thereby promoting infectious diseases [56, 59].
Tryptophan metabolism was the top pathway affected by SARS-CoV-2. As such, focused analysis of this pathway highlighted significant decreases (inversely proportional to IL-6 concentration) in tryptophan, serotonin, and indolepyruvate levels. In contrast, increases in kynurenine, kynurenic acid, picolinic acid, and nicotinic acid suggested hyperactivation of the kynurenine pathway [58]. Furthermore, the levels of IL-6 in serum were significantly different from SARS-Cov-2 patients and controls and they were correlated with changes in tryptophan metabolism [58]. From this study, targeted metabolomics analyses were performed on sera using ultra-high-pressure liquid chromatography-mass spectrometry (UHPLC–MS), highlighting significant associations of COVID-19 and IL-6 levels with amino acid metabolism, purines, acylcarnitines, and fatty acids [58]. Dysregulation of nitrogen metabolism was also seen in infected patients, with altered levels of most amino acids, along with increased markers of oxidant stress (e.g., methionine sulfoxide, cystine), proteolysis, and renal dysfunction (e.g., creatine, creatinine, polyamines). Increased circulating levels of glucose and free fatty acids were also observed, consistent with altered carbon homeostasis. Interestingly, metabolite levels in these pathways correlated with clinical laboratory markers of inflammation (i.e., IL-6 and C-reactive protein) and renal function (i.e., blood urea nitrogen). This initial observational study identified amino acid and fatty acid metabolism as correlates of SARS-CoV-2 [58].
In our group, we also demonstrated that a functional variable number of tandem repeats (VNTR) genetic polymorphism of serotonin transporter, whose expression is activated by IL-1, has some relation with the ACE serum levels that can be associated with unbalanced ACE-ACE-2 system (Figure 3b) [38].
Polymorphisms in genes coding for IL-10, TNF-alpha and IL-6 influence circulating levels, and behave as promoters of severe systemic inflammatory response that can probably has an interindividual and gender dependent impact [53].
At the other end of the iceberg, the immunocompromised patients could be protected against SARS-CoV-2, since unlike other common viruses, coronaviruses have not shown to cause more severe disease in immunosuppressed patients, at least statistically significant [60]. Our own immune response appears to be the main driver of lung tissue damage during infection. Starting around the 2nd week of symptoms, patients experience a “storm of cytokines” – autoimmune reaction, where your body over-reacts and in attacking coronavirus, your lungs get caught in the body immunologic response [47, 61]. In the first week of the illness it’s the virus itself that’s triggering most of your symptoms, but then in severe cases, it’s our own inflammatory responses that takes over in causing the most of the damage. So this “storm of cytokines” is killing our immune cells, therefore, could patients with immunosuppressive profile be protected from this reciprocal attack?
The children account for less than 2% of identified cases of SARS-CoV-2 [62]. Interestingly, young children, including infants who are more susceptible to other infections, have milder symptoms and less severe SARS-CoV-2. Nevertheless, children seem to have similar rates of becoming infected compared with middle-aged adults following close contact with a person infected with SARS-CoV-2 [33].
Long-term boosting of innate immune responses, also termed “trained immunity,” by certain live vaccines (Bacillus Calmette–Guérin - BCG, oral polio vaccine, measles) induces heterologous protection against infections through epigenetic, transcriptional, and functional reprogramming of innate immune cells [63].
Epidemiological data showed that the elderly and those with co-morbidities (diabetes, obesity, and cardiovascular, respiratory, renal, and lung diseases) are most susceptible to COVID-19 and more likely to suffer from the most severe disease complications [64]. Viral infections mobilize free fatty acids to support capsid-associated membrane formation, which was described for other coronaviruses and is explained, in part, by activating phospholipase A2, a target amenable to pharmacological intervention [65].
Hartnup disease is a condition caused by the body’s inability to absorb certain protein building blocks (amino acids) from the diet. As a result, affected individuals are not able to use these amino acids to produce other substances, such as vitamins and proteins. Most people with Hartnup disease are able to get the vitamins and other substances they need with a well-balanced diet [27, 66].
Individuals with Hartnup disease have high levels of various amino acids in their urine (aminoaciduria). For most affected individuals, this is the only sign of the condition. However, in other cases, individuals have episodes exhibiting other signs, which can include skin rashes, difficulty of coordination of movements (cerebellar ataxia), and psychiatric symptoms, such as depression or psychosis. These episodes are typically temporary and are often triggered by intercurrent infection, stress, nutrient-poor diet, or fever. These features tend to go away once the trigger is changed, although the aminoaciduria remains. In affected individuals, signs and symptoms most commonly occur in childhood [67, 68].
As previously mentioned, the two antagonistic systems ACE, ANG II, AT1R and ACE2, ANII 1–7 are in the “hurricane eye” of SARS-CovV-2 and the non-enzymatic role of ACE-2 give rise to Hartnup disease phenocopy. ACE-2 is also a stabilizing protein (very similar to collectrin in kidney) of the neutral amino acid transporter mutated in the Hartnup disease [27].
In mice with ACE-2 deletion in the small intestine, there was also a decrease in tryptophan absorption secondary to the lower expression of the neutral amino acid transporter accompanied by a phenotype very similar to that of Hartnup’s disease phenotypes [69]. This situation can be caused by SARS-COVs and probably explains the gastro intestinal symptoms sometimes associated with those viral infections. In this case, it may be the result of the accumulation of nephrotoxic and pro-inflammatory pulmonary products (indole derivatives) or lack of anti-inflammatory kynurenines (IDO derivatives), as a consequence of dysbiosis at large intestine resulting from the lack of absorption of several neutral and aromatic amino acids namely tryptophan [70, 71].
Concordantly to exposed in this chapter, the SARS-CoV-2 is more than a severe respiratory infection and actually integrate a multisystemic coordination. Metabolic syndrome and microbiome had been associated in intervention from ACE-2. This relation has an explanation that is now much more clarified and that goes through the IDO derivatives (Kynurenines) associated with aryl hydrocarbon receptor (AhR) and anti-inflammatory response Th22 [56].
The rationale of the non-enzymatic role of ACE-2 to serotonin and IDO derivatives to kynurenines has an explanation based in the activation of AhR functions by these tryptophan metabolites as they activates anti-inflammatory cytokines that may counteract the SARS-CoV-2 gastrointestinal and pulmonary symptoms characterized by a “cytokine storm” [72]. This can have their origin in the dysbiosis related to the tryptophan catabolism in indol derivatives by unbalanced
Importantly, ACE-2 is highly expressed on the luminal surface of intestinal epithelial cells, functioning as a co-receptor for nutrient uptake, in particular for amino acid resorption from food [75]. Therefore the intestine might also be a major entry site for SARS-CoV-2 and the infection might have been initiated by eating food from the Wuhan market, the putative site of the outbreak. Whether SARS-CoV-2 can indeed infect the human gut epithelium has important implications for fecal–oral transmission and containment of viral spread. Moreover, the ACE-2 tissue distribution in other organs could explain the multi-organ dysfunction observed in patients [66, 71, 76, 77]. Any perturbation in host-microbiota crosstalk can be an initiating or re-enforcing factor in SARS-CoV-2 pathogenesis.
Some bacteria produce bioactive neurotransmitters that have previously been proposed to modulate nervous system activity and behaviors of their host. A large array of metabolites drives the crosstalk between the host and its microbiome. The three currently most studied categories of metabolites involved in host-microbiota interactions are short-chain fatty acids produced by bacteria from the fermentation of fibbers, bile acids produced in the liver and transformed by the gut microbiota before re-affecting the host, and tryptophan metabolites, which are the topic of this review [72].
Tryptophan is an essential aromatic amino acid composed of a b carbon connected to the 3 position of an indole group and it is a biosynthetic precursor of a large number of microbial and host metabolites [78]. It’s metabolism follows three major pathways in the gastrointestinal tract: the direct transformation of Tryptophan into several molecules, including ligands of the (AhR) by the gut microbiota [78]; the kynurenine pathway in both immune and epithelial cells via IDO-1 [79]; and the serotonin (5-hydroxytryptamine [5-HT]) production pathway in enterochromaffin cells via Tryptophan hydroxylase 1 (TpH1) [72]. The AhR is implicated in lung inflammation [80].
The gut microbiota influences the health of the host, especially with regard to gut immune homeostasis and the intestinal immune response. In addition to serving as a nutrient enhancer, L-tryptophan plays crucial roles in the balance between intestinal immune tolerance and gut microbiota maintenance.
These lessons derived of SARS-CoVs infections outbreaks (2003 and 2019) can explain the role of the two antagonistic RASs pathways on the hypoxic pulmonary vasoconstriction an homeostatic mechanism in response to alveolar hypoxia secondary to acute lung injury in SARS, optimizing ventilation, perfusion and systemic oxygen delivery. Moreover, the new knowledge about the role of RAS proteins, namely, ACE-2 in gut with pleiotropic actions on the metabolism of tryptophan in the crosstalk microbiota–intestine, intestine-kidney and probably intestine-lung can help in designing new, based on probiotics and prebiotics or repurposing ancient therapies for disorders involving those organ crosstalk resultant physio pathologies.
The authors would like to acknowledge the Instituto de Investigação Científica Bento da Rocha Cabral and Sociedade Portuguesa de Papillomavírus for support.
The authors declare that they have no competing interests.
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In this chapter, it is defined as a possible ability of an individual or a group to face, manage, and anticipate a possible problem. This concept of vulnerability is associated with that of risk factor for social isolation, and therefore to situations that can also lead to illness and lack of mental and physical health. It can have its roots in poverty, in social exclusion, in ethnicity, in disability or simply in disease or specific developmental phases in life. All these aspects reflect very important vulnerability factors among biological, psychological, social, and behavioral variables. To date, no one has highlighted together two critical moments in life in which this brain area undergoes important variations: adolescence, in which its development occurs, and old age, in which this area goes into cognitive decline with the relative loss of many higher cognitive functions. This knowledge can help to better understand the forms of exclusion due to vulnerability in order to develop new forms of social inclusion.",book:{id:"8262",slug:"the-new-forms-of-social-exclusion",title:"The New Forms of Social Exclusion",fullTitle:"The New Forms of Social Exclusion"},signatures:"Rosalba Morese, Sara Palermo, Matteo Defedele, Juri Nervo and Alberto Borraccino",authors:[{id:"214435",title:"Dr.",name:"Rosalba",middleName:null,surname:"Morese",slug:"rosalba-morese",fullName:"Rosalba Morese"},{id:"218983",title:"BSc.",name:"Juri",middleName:null,surname:"Nervo",slug:"juri-nervo",fullName:"Juri Nervo"},{id:"218984",title:"MSc.",name:"Matteo",middleName:null,surname:"Defedele",slug:"matteo-defedele",fullName:"Matteo Defedele"},{id:"233998",title:"Ph.D.",name:"Sara",middleName:null,surname:"Palermo",slug:"sara-palermo",fullName:"Sara Palermo"},{id:"266453",title:"Prof.",name:"Alberto",middleName:null,surname:"Borraccino",slug:"alberto-borraccino",fullName:"Alberto Borraccino"}]},{id:"55349",doi:"10.5772/intechopen.68596",title:"The Development of a Human Well-Being Index for the United States",slug:"the-development-of-a-human-well-being-index-for-the-united-states",totalDownloads:1986,totalCrossrefCites:3,totalDimensionsCites:9,abstract:"The US Environmental Protection Agency (EPA) has developed a human well-being index (HWBI) that assesses the over-all well-being of its population at the county level. The HWBI contains eight domains representing social, economic and environmental well-being. These domains include 25 indicators comprised of 80 metrics and 22 social, economic and environmental services. The application of the HWBI has been made for the nation as a whole at the county level and two alternative applications have been made to represent key populations within the overall US population—Native Americans and children. A number of advances have been made to estimate the values of metrics for counties where no data is available and one such estimator—MERLIN—is discussed. Finally, efforts to make the index into an interactive web site are described.",book:{id:"5761",slug:"quality-of-life-and-quality-of-working-life",title:"Quality of Life and Quality of Working Life",fullTitle:"Quality of Life and Quality of Working Life"},signatures:"J. Kevin Summers, Lisa M. Smith, Linda C. Harwell and Kyle D. Buck",authors:[{id:"197485",title:"Dr.",name:"J. 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The Framework of Achievement Bests provides an explanatory account of a person’s optimal best practice from his/her actual best. Another aspect emphasizes on the saliency of the psychological process of optimization, which is central to our understanding of person’s optimal functioning in a subject matter. Achieving an exceptional level of best practice (e.g. achieving excellent grades in mathematics) does not exist in isolation, but rather depends on the potent impact of optimization. This chapter, theoretical in nature, focuses on an in‐depth examination of the expansion of the Framework of Achievement Bests. Our discussion of the Framework of Achievement Bests, reflecting a methodical conceptualization, is benchmarked against another notable theory for understanding, namely: Martin Seligman’s PERMA theory. For example, for consideration, one aspect that we examine entails the extent to which the Framework of Achievement Bests could explain the optimization of each of the five components of PERMA (e.g. how does the Framework of Achievement Bests explain the optimization of engagement?).",book:{id:"5761",slug:"quality-of-life-and-quality-of-working-life",title:"Quality of Life and Quality of Working Life",fullTitle:"Quality of Life and Quality of Working Life"},signatures:"Huy P. Phan and Bing H. 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Emotional charge also presents a moderate positive correlation with work-related stress, as well as physical charge and psychological distress. Work-life balance is negatively correlated with physical charge, emotional charge, work-related stress, psychological distress, and burnout. We observed also that 43.6% of the professors reported high levels of work-related stress in their everyday work. The precariousness of university teaching is associated with three main elements, which we defined as the tripod of the precarization of university teaching work. It consists of academic productivism, excess of administrative work and bureaucratic activities, and inadequate working conditions. The operating dynamics of this tripod effect professors’ well-being, their QWL, and even the quality of the work they develop in public universities.",book:{id:"5761",slug:"quality-of-life-and-quality-of-working-life",title:"Quality of Life and Quality of Working Life",fullTitle:"Quality of Life and Quality of Working Life"},signatures:"Alessandro Vinicius de Paula and Ana Alice Vilas Boas",authors:[{id:"175373",title:"Dr.",name:"Ana Alice",middleName:null,surname:"Vilas Boas",slug:"ana-alice-vilas-boas",fullName:"Ana Alice Vilas Boas"},{id:"196534",title:"Dr.",name:"Alessandro Vinicius",middleName:null,surname:"De Paula",slug:"alessandro-vinicius-de-paula",fullName:"Alessandro Vinicius De Paula"}]},{id:"71723",doi:"10.5772/intechopen.91705",title:"Characterizing Rapists and Their Victims in Select Nigeria Newspapers",slug:"characterizing-rapists-and-their-victims-in-select-nigeria-newspapers",totalDownloads:1052,totalCrossrefCites:3,totalDimensionsCites:5,abstract:"While offender and victim characterization offers clues to devising preventive strategies and victim therapy, existing studies in Nigeria are yet to capture this empirically. Using two national dailies, about 331 rape cases have been analyzed. The rapists were found to be of the age group 18–55 years. The victims’ age has been reported to be between 1 and 20 years. Rape victims were mostly females (>90%) compared to males. Most of the rapists are labeled as familiar foes meaning, father, relatives, or neighbors. Third-party guardianship is mentioned as predatory.",book:{id:"6934",slug:"psycho-social-aspects-of-human-sexuality-and-ethics",title:"Psycho-Social Aspects of Human Sexuality and Ethics",fullTitle:"Psycho-Social Aspects of Human Sexuality and Ethics"},signatures:"Oludayo Tade and Collins Udechukwu",authors:[{id:"316697",title:"Dr.",name:"Oludayo",middleName:null,surname:"Tade",slug:"oludayo-tade",fullName:"Oludayo Tade"},{id:"318220",title:"Dr.",name:"Collins",middleName:"Obinna",surname:"Udechukwu",slug:"collins-udechukwu",fullName:"Collins Udechukwu"}]}],mostDownloadedChaptersLast30Days:[{id:"76968",title:"In the Darkness of This Time: Wittgenstein and Freud on Uncertainty",slug:"in-the-darkness-of-this-time-wittgenstein-and-freud-on-uncertainty",totalDownloads:434,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Both Wittgenstein and Freud experienced the crisis of humanism resulting from the first and second world wars. Although they were both considered to be influential figures, they hardly investigated the ways in which people could cope with the consequences of these crises. However, Wittgenstein and Freud did suggest ways of understanding uncertainties caused by real life events, as well as by the nature of human thought processes. This article will explore the therapeutic ways of dealing with uncertainties common to both thinkers and the different concepts facilitating their methodologies. The central contention of this article is that both Wittgenstein and Freud developed a complex methodology, acknowledging the constant and unexpected changes humans have deal with, whilst also offering the possibility of defining “hinge propositions” and “language-games” which can stabilize our consciousness.",book:{id:"10814",slug:"anxiety-uncertainty-and-resilience-during-the-pandemic-period-anthropological-and-psychological-perspectives",title:"Anxiety, Uncertainty, and Resilience During the Pandemic Period",fullTitle:"Anxiety, Uncertainty, and Resilience During the Pandemic Period - Anthropological and Psychological Perspectives"},signatures:"Dorit Lemberger",authors:[{id:"325725",title:"Dr.",name:"Dorit",middleName:null,surname:"Lemberger",slug:"dorit-lemberger",fullName:"Dorit Lemberger"}]},{id:"76565",title:"Introductory Chapter: The Transition from Distress to Acceptance of Human Frailty - Anthropology and Psychology of the Pandemic Era",slug:"introductory-chapter-the-transition-from-distress-to-acceptance-of-human-frailty-anthropology-and-ps",totalDownloads:350,totalCrossrefCites:0,totalDimensionsCites:0,abstract:null,book:{id:"10814",slug:"anxiety-uncertainty-and-resilience-during-the-pandemic-period-anthropological-and-psychological-perspectives",title:"Anxiety, Uncertainty, and Resilience During the Pandemic Period",fullTitle:"Anxiety, Uncertainty, and Resilience During the Pandemic Period - Anthropological and Psychological Perspectives"},signatures:"Fabio Gabrielli and Floriana Irtelli",authors:[{id:"174641",title:"Dr.",name:"Floriana",middleName:null,surname:"Irtelli",slug:"floriana-irtelli",fullName:"Floriana Irtelli"},{id:"259407",title:"Prof.",name:"Fabio",middleName:null,surname:"Gabrielli",slug:"fabio-gabrielli",fullName:"Fabio Gabrielli"}]},{id:"77214",title:"The Impact of the COVID-19 Pandemic on the Mental Health of Dentists",slug:"the-impact-of-the-covid-19-pandemic-on-the-mental-health-of-dentists",totalDownloads:357,totalCrossrefCites:1,totalDimensionsCites:1,abstract:"Since March 2020, the COVID-19 disease has declared a pandemic producing a worldwide containment. For months, many people were subjected to strict social isolation away from family and loved ones to prevent disease transmission, leading to anxiety, fear, and depression. On the other hand, many had to close down their businesses and stop working, resulting in financial issues. Previous studies have reported that pandemics, epidemics, and some diseases can lead to mental disorders such as fear, anxiety, stress, and depression. Among those most affected, healthcare workers (HCWs), especially those on the front line, often develop mental health problems. Although there is data available on the management and care of HCWs, little attention has been paid to the mental health and well-being of dentists during the COVID-19 pandemic. Therefore, this chapter aims to review the impact of the COVID-19 pandemic on dentists’ mental health and mental health-related symptoms. Finally, to recommend specific measures to avoid consequent potential implications for dentists, dental students, and dental patients.",book:{id:"10814",slug:"anxiety-uncertainty-and-resilience-during-the-pandemic-period-anthropological-and-psychological-perspectives",title:"Anxiety, Uncertainty, and Resilience During the Pandemic Period",fullTitle:"Anxiety, Uncertainty, and Resilience During the Pandemic Period - Anthropological and Psychological Perspectives"},signatures:"Andrea Vergara-Buenaventura and Carmen Castro-Ruiz",authors:[{id:"346660",title:"M.Sc.",name:"Andrea",middleName:null,surname:"Vergara-Buenaventura",slug:"andrea-vergara-buenaventura",fullName:"Andrea Vergara-Buenaventura"},{id:"419814",title:"MSc.",name:"Carmen",middleName:null,surname:"Castro-Ruiz",slug:"carmen-castro-ruiz",fullName:"Carmen Castro-Ruiz"}]},{id:"55323",title:"Positive Psychology: The Use of the Framework of Achievement Bests to Facilitate Personal Flourishing",slug:"positive-psychology-the-use-of-the-framework-of-achievement-bests-to-facilitate-personal-flourishing",totalDownloads:1674,totalCrossrefCites:3,totalDimensionsCites:8,abstract:"The Framework of Achievement Bests, which was recently published in Educational Psychology Review, makes a theoretical contribution to the study of positive psychology. The Framework of Achievement Bests provides an explanatory account of a person’s optimal best practice from his/her actual best. Another aspect emphasizes on the saliency of the psychological process of optimization, which is central to our understanding of person’s optimal functioning in a subject matter. Achieving an exceptional level of best practice (e.g. achieving excellent grades in mathematics) does not exist in isolation, but rather depends on the potent impact of optimization. This chapter, theoretical in nature, focuses on an in‐depth examination of the expansion of the Framework of Achievement Bests. Our discussion of the Framework of Achievement Bests, reflecting a methodical conceptualization, is benchmarked against another notable theory for understanding, namely: Martin Seligman’s PERMA theory. For example, for consideration, one aspect that we examine entails the extent to which the Framework of Achievement Bests could explain the optimization of each of the five components of PERMA (e.g. how does the Framework of Achievement Bests explain the optimization of engagement?).",book:{id:"5761",slug:"quality-of-life-and-quality-of-working-life",title:"Quality of Life and Quality of Working Life",fullTitle:"Quality of Life and Quality of Working Life"},signatures:"Huy P. Phan and Bing H. Ngu",authors:[{id:"196435",title:"Prof.",name:"Huy",middleName:"P",surname:"Phan",slug:"huy-phan",fullName:"Huy Phan"}]},{id:"77908",title:"Anxiety, Uncertainty and Resilience during the Pandemic Period-Anthropological and Psychological Perspectives",slug:"anxiety-uncertainty-and-resilience-during-the-pandemic-period-anthropological-and-psychological-pers",totalDownloads:288,totalCrossrefCites:0,totalDimensionsCites:0,abstract:"Following any natural disaster, tragedy, calamities, there are upsurge of mental health issues found worldwide. COVID 19 is no exception to them. Public health and infection control domains were the first hit at the peak of pandemic. The news and information were bombarded in traditional print and electronic Medias as well as in social Medias. The tsunami of infodemic was a recent topic of discussion. The responsible reporting, media role, role of Government and Non Government organizations are immense. To combat these challenges and ensuring peace and tranquillity are the biggest task of the policymakers ahead.",book:{id:"10814",slug:"anxiety-uncertainty-and-resilience-during-the-pandemic-period-anthropological-and-psychological-perspectives",title:"Anxiety, Uncertainty, and Resilience During the Pandemic Period",fullTitle:"Anxiety, Uncertainty, and Resilience During the Pandemic Period - Anthropological and Psychological Perspectives"},signatures:"Ranjan Bhattacharyya",authors:[{id:"347365",title:"Associate Prof.",name:"Ranjan",middleName:null,surname:"Bhattacharyya",slug:"ranjan-bhattacharyya",fullName:"Ranjan Bhattacharyya"}]}],onlineFirstChaptersFilter:{topicId:"278",limit:6,offset:0},onlineFirstChaptersCollection:[],onlineFirstChaptersTotal:0},preDownload:{success:null,errors:{}},subscriptionForm:{success:null,errors:{}},aboutIntechopen:{},privacyPolicy:{},peerReviewing:{},howOpenAccessPublishingWithIntechopenWorks:{},sponsorshipBooks:{sponsorshipBooks:[],offset:8,limit:8,total:0},allSeries:{pteSeriesList:[{id:"14",title:"Artificial Intelligence",numberOfPublishedBooks:8,numberOfPublishedChapters:86,numberOfOpenTopics:6,numberOfUpcomingTopics:0,issn:"2633-1403",doi:"10.5772/intechopen.79920",isOpenForSubmission:!0},{id:"7",title:"Biomedical Engineering",numberOfPublishedBooks:12,numberOfPublishedChapters:96,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2631-5343",doi:"10.5772/intechopen.71985",isOpenForSubmission:!0}],lsSeriesList:[{id:"11",title:"Biochemistry",numberOfPublishedBooks:27,numberOfPublishedChapters:283,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2632-0983",doi:"10.5772/intechopen.72877",isOpenForSubmission:!0},{id:"25",title:"Environmental Sciences",numberOfPublishedBooks:1,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2754-6713",doi:"10.5772/intechopen.100362",isOpenForSubmission:!0},{id:"10",title:"Physiology",numberOfPublishedBooks:11,numberOfPublishedChapters:138,numberOfOpenTopics:4,numberOfUpcomingTopics:0,issn:"2631-8261",doi:"10.5772/intechopen.72796",isOpenForSubmission:!0}],hsSeriesList:[{id:"3",title:"Dentistry",numberOfPublishedBooks:8,numberOfPublishedChapters:128,numberOfOpenTopics:0,numberOfUpcomingTopics:2,issn:"2631-6218",doi:"10.5772/intechopen.71199",isOpenForSubmission:!1},{id:"6",title:"Infectious Diseases",numberOfPublishedBooks:13,numberOfPublishedChapters:105,numberOfOpenTopics:3,numberOfUpcomingTopics:1,issn:"2631-6188",doi:"10.5772/intechopen.71852",isOpenForSubmission:!0},{id:"13",title:"Veterinary Medicine and Science",numberOfPublishedBooks:9,numberOfPublishedChapters:100,numberOfOpenTopics:3,numberOfUpcomingTopics:0,issn:"2632-0517",doi:"10.5772/intechopen.73681",isOpenForSubmission:!0}],sshSeriesList:[{id:"22",title:"Business, Management and Economics",numberOfPublishedBooks:1,numberOfPublishedChapters:11,numberOfOpenTopics:2,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100359",isOpenForSubmission:!0},{id:"23",title:"Education and Human Development",numberOfPublishedBooks:0,numberOfPublishedChapters:0,numberOfOpenTopics:2,numberOfUpcomingTopics:0,issn:null,doi:"10.5772/intechopen.100360",isOpenForSubmission:!1},{id:"24",title:"Sustainable Development",numberOfPublishedBooks:0,numberOfPublishedChapters:9,numberOfOpenTopics:4,numberOfUpcomingTopics:1,issn:null,doi:"10.5772/intechopen.100361",isOpenForSubmission:!0}],testimonialsList:[{id:"6",text:"It is great to work with the IntechOpen to produce a worthwhile collection of research that also becomes a great educational resource and guide for future research endeavors.",author:{id:"259298",name:"Edward",surname:"Narayan",institutionString:null,profilePictureURL:"https://mts.intechopen.com/storage/users/259298/images/system/259298.jpeg",slug:"edward-narayan",institution:{id:"3",name:"University of Queensland",country:{id:null,name:"Australia"}}}},{id:"13",text:"The collaboration with and support of the technical staff of IntechOpen is fantastic. The whole process of submitting an article and editing of the submitted article goes extremely smooth and fast, the number of reads and downloads of chapters is high, and the contributions are also frequently cited.",author:{id:"55578",name:"Antonio",surname:"Jurado-Navas",institutionString:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRisIQAS/Profile_Picture_1626166543950",slug:"antonio-jurado-navas",institution:{id:"720",name:"University of Malaga",country:{id:null,name:"Spain"}}}}]},series:{item:{id:"14",title:"Artificial Intelligence",doi:"10.5772/intechopen.79920",issn:"2633-1403",scope:"Artificial Intelligence (AI) is a rapidly developing multidisciplinary research area that aims to solve increasingly complex problems. In today's highly integrated world, AI promises to become a robust and powerful means for obtaining solutions to previously unsolvable problems. This Series is intended for researchers and students alike interested in this fascinating field and its many applications.",coverUrl:"https://cdn.intechopen.com/series/covers/14.jpg",latestPublicationDate:"May 14th, 2022",hasOnlineFirst:!0,numberOfPublishedBooks:8,editor:{id:"218714",title:"Prof.",name:"Andries",middleName:null,surname:"Engelbrecht",slug:"andries-engelbrecht",fullName:"Andries Engelbrecht",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRNR8QAO/Profile_Picture_1622640468300",biography:"Andries Engelbrecht received the Masters and PhD degrees in Computer Science from the University of Stellenbosch, South Africa, in 1994 and 1999 respectively. He is currently appointed as the Voigt Chair in Data Science in the Department of Industrial Engineering, with a joint appointment as Professor in the Computer Science Division, Stellenbosch University. Prior to his appointment at Stellenbosch University, he has been at the University of Pretoria, Department of Computer Science (1998-2018), where he was appointed as South Africa Research Chair in Artifical Intelligence (2007-2018), the head of the Department of Computer Science (2008-2017), and Director of the Institute for Big Data and Data Science (2017-2018). In addition to a number of research articles, he has written two books, Computational Intelligence: An Introduction and Fundamentals of Computational Swarm Intelligence.",institutionString:null,institution:{name:"Stellenbosch University",institutionURL:null,country:{name:"South Africa"}}},editorTwo:null,editorThree:null},subseries:{paginationCount:6,paginationItems:[{id:"22",title:"Applied Intelligence",coverUrl:"https://cdn.intechopen.com/series_topics/covers/22.jpg",isOpenForSubmission:!0,editor:{id:"27170",title:"Prof.",name:"Carlos",middleName:"M.",surname:"Travieso-Gonzalez",slug:"carlos-travieso-gonzalez",fullName:"Carlos Travieso-Gonzalez",profilePictureURL:"https://mts.intechopen.com/storage/users/27170/images/system/27170.jpeg",biography:"Carlos M. Travieso-González received his MSc degree in Telecommunication Engineering at Polytechnic University of Catalonia (UPC), Spain in 1997, and his Ph.D. degree in 2002 at the University of Las Palmas de Gran Canaria (ULPGC-Spain). He is a full professor of signal processing and pattern recognition and is head of the Signals and Communications Department at ULPGC, teaching from 2001 on subjects on signal processing and learning theory. His research lines are biometrics, biomedical signals and images, data mining, classification system, signal and image processing, machine learning, and environmental intelligence. He has researched in 52 international and Spanish research projects, some of them as head researcher. He is co-author of 4 books, co-editor of 27 proceedings books, guest editor for 8 JCR-ISI international journals, and up to 24 book chapters. He has over 450 papers published in international journals and conferences (81 of them indexed on JCR – ISI - Web of Science). He has published seven patents in the Spanish Patent and Trademark Office. He has been a supervisor on 8 Ph.D. theses (11 more are under supervision), and 130 master theses. He is the founder of The IEEE IWOBI conference series and the president of its Steering Committee, as well as the founder of both the InnoEducaTIC and APPIS conference series. He is an evaluator of project proposals for the European Union (H2020), Medical Research Council (MRC, UK), Spanish Government (ANECA, Spain), Research National Agency (ANR, France), DAAD (Germany), Argentinian Government, and the Colombian Institutions. He has been a reviewer in different indexed international journals (<70) and conferences (<250) since 2001. He has been a member of the IASTED Technical Committee on Image Processing from 2007 and a member of the IASTED Technical Committee on Artificial Intelligence and Expert Systems from 2011. \n\nHe has held the general chair position for the following: ACM-APPIS (2020, 2021), IEEE-IWOBI (2019, 2020 and 2020), A PPIS (2018, 2019), IEEE-IWOBI (2014, 2015, 2017, 2018), InnoEducaTIC (2014, 2017), IEEE-INES (2013), NoLISP (2011), JRBP (2012), and IEEE-ICCST (2005)\n\nHe is an associate editor of the Computational Intelligence and Neuroscience Journal (Hindawi – Q2 JCR-ISI). He was vice dean from 2004 to 2010 in the Higher Technical School of Telecommunication Engineers at ULPGC and the vice dean of Graduate and Postgraduate Studies from March 2013 to November 2017. He won the “Catedra Telefonica” Awards in Modality of Knowledge Transfer, 2017, 2018, and 2019 editions, and awards in Modality of COVID Research in 2020.\n\nPublic References:\nResearcher ID http://www.researcherid.com/rid/N-5967-2014\nORCID https://orcid.org/0000-0002-4621-2768 \nScopus Author ID https://www.scopus.com/authid/detail.uri?authorId=6602376272\nScholar Google https://scholar.google.es/citations?user=G1ks9nIAAAAJ&hl=en \nResearchGate https://www.researchgate.net/profile/Carlos_Travieso",institutionString:null,institution:{name:"University of Las Palmas de Gran Canaria",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"23",title:"Computational Neuroscience",coverUrl:"https://cdn.intechopen.com/series_topics/covers/23.jpg",isOpenForSubmission:!0,editor:{id:"14004",title:"Dr.",name:"Magnus",middleName:null,surname:"Johnsson",slug:"magnus-johnsson",fullName:"Magnus Johnsson",profilePictureURL:"https://mts.intechopen.com/storage/users/14004/images/system/14004.png",biography:"Dr Magnus Johnsson is a cross-disciplinary scientist, lecturer, scientific editor and AI/machine learning consultant from Sweden. \n\nHe is currently at Malmö University in Sweden, but also held positions at Lund University in Sweden and at Moscow Engineering Physics Institute. \nHe holds editorial positions at several international scientific journals and has served as a scientific editor for books and special journal issues. \nHis research interests are wide and include, but are not limited to, autonomous systems, computer modeling, artificial neural networks, artificial intelligence, cognitive neuroscience, cognitive robotics, cognitive architectures, cognitive aids and the philosophy of mind. \n\nDr. Johnsson has experience from working in the industry and he has a keen interest in the application of neural networks and artificial intelligence to fields like industry, finance, and medicine. \n\nWeb page: www.magnusjohnsson.se",institutionString:null,institution:{name:"Malmö University",institutionURL:null,country:{name:"Sweden"}}},editorTwo:null,editorThree:null},{id:"24",title:"Computer Vision",coverUrl:"https://cdn.intechopen.com/series_topics/covers/24.jpg",isOpenForSubmission:!0,editor:{id:"294154",title:"Prof.",name:"George",middleName:null,surname:"Papakostas",slug:"george-papakostas",fullName:"George Papakostas",profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002hYaGbQAK/Profile_Picture_1624519712088",biography:"George A. Papakostas has received a diploma in Electrical and Computer Engineering in 1999 and the M.Sc. and Ph.D. degrees in Electrical and Computer Engineering in 2002 and 2007, respectively, from the Democritus University of Thrace (DUTH), Greece. Dr. Papakostas serves as a Tenured Full Professor at the Department of Computer Science, International Hellenic University, Greece. Dr. Papakostas has 10 years of experience in large-scale systems design as a senior software engineer and technical manager, and 20 years of research experience in the field of Artificial Intelligence. Currently, he is the Head of the “Visual Computing” division of HUman-MAchines INteraction Laboratory (HUMAIN-Lab) and the Director of the MPhil program “Advanced Technologies in Informatics and Computers” hosted by the Department of Computer Science, International Hellenic University. He has (co)authored more than 150 publications in indexed journals, international conferences and book chapters, 1 book (in Greek), 3 edited books, and 5 journal special issues. His publications have more than 2100 citations with h-index 27 (GoogleScholar). His research interests include computer/machine vision, machine learning, pattern recognition, computational intelligence. \nDr. Papakostas served as a reviewer in numerous journals, as a program\ncommittee member in international conferences and he is a member of the IAENG, MIR Labs, EUCogIII, INSTICC and the Technical Chamber of Greece (TEE).",institutionString:null,institution:{name:"International Hellenic University",institutionURL:null,country:{name:"Greece"}}},editorTwo:null,editorThree:null},{id:"25",title:"Evolutionary Computation",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",isOpenForSubmission:!0,editor:{id:"136112",title:"Dr.",name:"Sebastian",middleName:null,surname:"Ventura Soto",slug:"sebastian-ventura-soto",fullName:"Sebastian Ventura Soto",profilePictureURL:"https://mts.intechopen.com/storage/users/136112/images/system/136112.png",biography:"Sebastian Ventura is a Spanish researcher, a full professor with the Department of Computer Science and Numerical Analysis, University of Córdoba. Dr Ventura also holds the positions of Affiliated Professor at Virginia Commonwealth University (Richmond, USA) and Distinguished Adjunct Professor at King Abdulaziz University (Jeddah, Saudi Arabia). Additionally, he is deputy director of the Andalusian Research Institute in Data Science and Computational Intelligence (DaSCI) and heads the Knowledge Discovery and Intelligent Systems Research Laboratory. He has published more than ten books and over 300 articles in journals and scientific conferences. Currently, his work has received over 18,000 citations according to Google Scholar, including more than 2200 citations in 2020. In the last five years, he has published more than 60 papers in international journals indexed in the JCR (around 70% of them belonging to first quartile journals) and he has edited some Springer books “Supervised Descriptive Pattern Mining” (2018), “Multiple Instance Learning - Foundations and Algorithms” (2016), and “Pattern Mining with Evolutionary Algorithms” (2016). He has also been involved in more than 20 research projects supported by the Spanish and Andalusian governments and the European Union. He currently belongs to the editorial board of PeerJ Computer Science, Information Fusion and Engineering Applications of Artificial Intelligence journals, being also associate editor of Applied Computational Intelligence and Soft Computing and IEEE Transactions on Cybernetics. Finally, he is editor-in-chief of Progress in Artificial Intelligence. He is a Senior Member of the IEEE Computer, the IEEE Computational Intelligence, and the IEEE Systems, Man, and Cybernetics Societies, and the Association of Computing Machinery (ACM). Finally, his main research interests include data science, computational intelligence, and their applications.",institutionString:null,institution:{name:"University of Córdoba",institutionURL:null,country:{name:"Spain"}}},editorTwo:null,editorThree:null},{id:"26",title:"Machine Learning and Data Mining",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",isOpenForSubmission:!0,editor:{id:"24555",title:"Dr.",name:"Marco Antonio",middleName:null,surname:"Aceves Fernandez",slug:"marco-antonio-aceves-fernandez",fullName:"Marco Antonio Aceves Fernandez",profilePictureURL:"https://mts.intechopen.com/storage/users/24555/images/system/24555.jpg",biography:"Dr. Marco Antonio Aceves Fernandez obtained his B.Sc. (Eng.) in Telematics from the Universidad de Colima, Mexico. He obtained both his M.Sc. and Ph.D. from the University of Liverpool, England, in the field of Intelligent Systems. He is a full professor at the Universidad Autonoma de Queretaro, Mexico, and a member of the National System of Researchers (SNI) since 2009. Dr. Aceves Fernandez has published more than 80 research papers as well as a number of book chapters and congress papers. He has contributed in more than 20 funded research projects, both academic and industrial, in the area of artificial intelligence, ranging from environmental, biomedical, automotive, aviation, consumer, and robotics to other applications. He is also a honorary president at the National Association of Embedded Systems (AMESE), a senior member of the IEEE, and a board member of many institutions. 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Dr. Aydin is currently a Fellow of Higher Education Academy, UK, a member of EPSRC College, a senior member of IEEE and a senior member of ACM. In addition to being a member of advisory committees of many international conferences, he is an Editorial Board Member of various peer-reviewed international journals. 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For example, some of the issues of interest could be the following: Advances in evolutionary computation (Genetic algorithms, Genetic programming, Bio-inspired metaheuristics, Hybrid metaheuristics, Parallel ECs); Applications of evolutionary algorithms (Machine learning and Data Mining with EAs, Search-Based Software Engineering, Scheduling, and Planning Applications, Smart Transport Applications, Applications to Games, Image Analysis, Signal Processing and Pattern Recognition, Applications to Sustainability).",coverUrl:"https://cdn.intechopen.com/series_topics/covers/25.jpg",keywords:"Genetic Algorithms, Genetic Programming, Evolutionary Programming, Evolution Strategies, Hybrid Algorithms, Bioinspired Metaheuristics, Ant Colony Optimization, Evolutionary Learning, Hyperparameter Optimization"},{id:"26",title:"Machine Learning and Data Mining",scope:"The scope of machine learning and data mining is immense and is growing every day. It has become a massive part of our daily lives, making predictions based on experience, making this a fascinating area that solves problems that otherwise would not be possible or easy to solve. This topic aims to encompass algorithms that learn from experience (supervised and unsupervised), improve their performance over time and enable machines to make data-driven decisions. It is not limited to any particular applications, but contributions are encouraged from all disciplines.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/26.jpg",keywords:"Intelligent Systems, Machine Learning, Data Science, Data Mining, Artificial Intelligence"},{id:"27",title:"Multi-Agent Systems",scope:"Multi-agent systems are recognised as a state of the art field in Artificial Intelligence studies, which is popular due to the usefulness in facilitation capabilities to handle real-world problem-solving in a distributed fashion. 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We welcome chapters presenting research on the many applications of multi-agent studies including, but not limited to, the following key areas: machine learning for multi-agent systems; modeling swarms robots and flocks of UAVs with multi-agent systems; decision science and multi-agent systems; software engineering for and with multi-agent systems; tools and technologies of multi-agent systems.",coverUrl:"https://cdn.intechopen.com/series_topics/covers/27.jpg",keywords:"Collaborative Intelligence, Learning, Distributed Control System, Swarm Robotics, Decision Science, Software Engineering"}],annualVolumeBook:{},thematicCollection:[],selectedSeries:{title:"Artificial Intelligence",id:"14"},selectedSubseries:null},seriesLanding:{item:{id:"7",title:"Biomedical Engineering",doi:"10.5772/intechopen.71985",issn:"2631-5343",scope:"Biomedical Engineering is one of the fastest-growing interdisciplinary branches of science and industry. The combination of electronics and computer science with biology and medicine has improved patient diagnosis, reduced rehabilitation time, and helped to facilitate a better quality of life. Nowadays, all medical imaging devices, medical instruments, or new laboratory techniques result from the cooperation of specialists in various fields. The series of Biomedical Engineering books covers such areas of knowledge as chemistry, physics, electronics, medicine, and biology. 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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. 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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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