Reference values and interpretation of Cronbach’s alpha (KR20).
\\n\\n
These books synthesize perspectives of renowned scientists from the world’s most prestigious institutions - from Fukushima Renewable Energy Institute in Japan to Stanford University in the United States, including Columbia University (US), University of Sidney (AU), University of Miami (USA), Cardiff University (UK), and many others.
\\n\\nThis collaboration embodied the true essence of Open Access by simplifying the approach to OA publishing for Academic editors and authors who contributed their research and allowed the new research to be made available free and open to anyone anywhere in the world.
\\n\\nTo celebrate the 50 books published, we have gathered them at one location - just one click away, so that you can easily browse the subjects of your interest, download the content directly, share it or read online.
\\n\\n\\n\\n\\n"}]',published:!0,mainMedia:null},components:[{type:"htmlEditorComponent",content:'
IntechOpen and Knowledge Unlatched formed a partnership to support researchers working in engineering sciences by enabling an easier approach to publishing Open Access content. Using the Knowledge Unlatched crowdfunding model to raise the publishing costs through libraries around the world, Open Access Publishing Fee (OAPF) was not required from the authors.
\n\nInitially, the partnership supported engineering research, but it soon grew to include physical and life sciences, attracting more researchers to the advantages of Open Access publishing.
\n\n\n\nThese books synthesize perspectives of renowned scientists from the world’s most prestigious institutions - from Fukushima Renewable Energy Institute in Japan to Stanford University in the United States, including Columbia University (US), University of Sidney (AU), University of Miami (USA), Cardiff University (UK), and many others.
\n\nThis collaboration embodied the true essence of Open Access by simplifying the approach to OA publishing for Academic editors and authors who contributed their research and allowed the new research to be made available free and open to anyone anywhere in the world.
\n\nTo celebrate the 50 books published, we have gathered them at one location - just one click away, so that you can easily browse the subjects of your interest, download the content directly, share it or read online.
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“Assessment is a central component of the teaching and learning” process. It is defined as “the systematic collection and analysis of information to improve student learning” [1]. Test (exam) is a part of student assessment and should be “An objective and standardized measure of a sample of behavior” [2]. Item analysis is a post-examination evaluation and can provide information about the quality of tests.
Item analysis is a statistical analysis of the student’s responses on a test. Collection and summarization of students’ responses can provide quantitative objective information that is useful in deciding the quality of the test items and increasing the assessment’s efficiency [3, 4]. Also, Item analysis “investigates the performance of items considered individually either in relation to some external criterion or the remaining items on the test” [5].
Any educational test should measure students’ achievement in content material. Also, it leads to an overall assessment of students’ development to decide their academic status [6, 7].
The importance of item analysis is determined by the objective of the assessment [8]. In summative assessment, the assessment results should be reliable and valid because incorrect decisions about the academic status will lead to negative consequences [9]. While for the formative evaluation where the target is students learning, the item analysis has no much importance in giving feedback about items construction to test composers.
In literature, many reasons were reported for the conduction of item analysis, including examining if the item is functioning as intended, did it assess the required concepts (content)?, did it discriminate between those who master the content material and those who were not? was it within the acceptable level of difficulty?, whether the distracters are functioning or not? [10, 11].
Many factors can affect item analysis and hence its interpretation [8]. Difficulty and discrimination indices were constantly changing per administration and influenced by the ability and number of the examinee, the number of items, and the quality of instructions [8, 12].
Whatever the exam or test blueprinting (item selection) method, exam items remain a sample of the needed content material. The number of items (item sampling) carries excellent importance because one cannot ask about all contents. With a too-small number of items, the results may not be enough to reflect true student ability [8]. Technical item flaws are divided into two major types, test wiseness, and irrelevant difficulty. Test wiseness flaws can result in more easy items. Faults related to irrelevant difficulty can result in more challenging items unrelated to the content under assessment. It was reported that item analysis of exam with 200 examinees is stable, and with fewer than 100 examinees should be interpreted with caution (item difficulty or item discrimination index). While Downing and Yudkowsky described that even for a small number of the examinee (e.g., 30) still, the item analysis can provide a piece of a helpful information to improve item [13, 14].
The item or psychometric analysis parameters include difficulty index, reliability, discrimination index, distractor efficiency [2]. The descriptive statistics of the exam are important and can provide helpful generalized information [2]. The descriptive statistics include scores frequency, the mean, the mode, the median, and the standard deviation.
Cronbach’s alpha (KR20) is widely accepted and used estimate of test reliability (the internal consistency) and reported to be superior to the split-half estimate [15, 16]. Although validity and reliability are closely associated, the reliability of an assessment does not depend on its validity [16, 17]. Coefficient alpha is known to be equal to Kr-20 if the item has a single answer, such as in the case of type A MCQs or binary [18, 19, 20, 21].
Coefficient alpha reflects the degree to which item response scores correlate with total test scores [15]. It also describes the degree to which items in the exam measure the same concept or construct [22]. Therefore, it is connected to the inter-relatedness and dimensionality of the items within the exam [16, 20]. Cronbach’s alpha is affected by exam time, the number and inter-relation of the items (dimensionality) and easy or hard, poorly written or confusing items, Variations in examinee responses, curriculum content not reflected in the test, Testing conditions, and Errors in recording or scoring [22, 23, 24]. The value of alpha is decreased in the exam with fewer items and increased if items assessing the same concept (unidimensionality of the exam) [16]. Other factors were reported to impact alpha value, such as item difficulty, number of the examinee, and student performance in the exam time. It was argued that very high alpha values could indicate lengthy exams, parallel items, or a narrow coverage of the content material [22].
The alpha value of the exam can be increased by increasing the number of items with a high p-value (difficulty index). It was reported that items with moderate difficulty could maximize alpha value and while those with zero difficulties or 100 can minimize it [15]. In the same way, deletion of faulty items can increase alpha value. It should be considered that repetition of items in the same exam or using items assessing the same concept can increase alpha value.
The interpretation of reliability is the correlation of the test with itself. When the estimate of reliability increases, the portion of a test score related to the error will decrease. Wise interpretation of alpha needs an understanding of the interrelatedness of items and whether the items measure a single latent trait or construct. Exam or test with different content materials such as integrated courses, for example, in the musculoskeletal system course, although is dominated by anatomy it contains other subjects of basic medical and clinical sciences that have different contains. Therefore, interpretation of such a course exam needs deep looks beyond the alpha figure. It was reported that KR20 of 0.7 is acceptable to short test (less than 50 items) and KR20 of 0.8 for an extended test (more than 50 item-test) [25]. Moreover, it was documented that a multidimensional exam does not have a lower (Table 1) alpha value than a unidimensional one [30].
Author | Interpretation of Cronbach’s alpha (KR20) |
---|---|
Robinson, Shaver et al. [26] | ≥0.80 Exemplary |
0.70–0.79 Extensive | |
0.60–0.69 Moderate | |
<0.60 Minimal | |
Cicchetti [27] | <0.70 Unacceptable |
0.70–0.80 Fair | |
0.80–0.90 Good | |
< 0.90 Excellent | |
Axelson and Kreiter [28] | >0.90 is needed for very high stakes tests (e.g., licensure, certification exams) |
0.80–0.89 is acceptable for moderate stakes tests (e.g., end-of-year summative exams in medical school, end-of-course exams) | |
0.70–0.79 would be acceptable for lower stakes assessments (e.g., formative or summative classroom-type assessments created and administered by local faculty | |
<0.70 might be useful as one component of an overall composite score. | |
Obon and Rey [12] | >0.90 Excellent reliability |
0.80–0.90 Very good for a classroom test | |
0.70–0.80 good for a classroom test | |
0.60–0.70 Somewhat low (The test needs to be supplemented by other measure) | |
0.50–0.60 Suggests need for revision of test (unless it is quite short, ten or fewer Items). | |
0.50 < Questionable reliability. | |
Hassan and Hod [29] | > 0.7 is excellent |
0.6–0.7 is acceptable | |
−0.5-0.6 is poor | |
< 0.5 is unacceptable | |
< 0.30 is unreliable |
Reference values and interpretation of Cronbach’s alpha (KR20).
A low alpha value can be due to a smaller number of items, reduced interrelatedness between items, or heterogeneous constructs [22]. A high value of alpha can suggest exam reliability, and some items are non-functional as they are testing the same content but in a different guise or repeated ones [16, 22]. Also, a high value indicates items with high interrelatedness, indicating a limited coverage of the content materials [22].
Adding new items with an acceptable difficulty index, high discrimination power and distractor efficiency can increase the test reliability [22, 31, 32]. In addition, deletion of faulty items or those with low or very high p-value can improve Cronbach’s alpha. Items with poor correlation or are not related should be revised or discarded from the exam.
Commonly are formed of a stem with or without leading question and five or four alternatives (type A MCQs). Among item’s alternatives, only one is the key answer and others are called distractors [4]. Distractors should carry or convey a miss concept about the key answer and appear plausible. The distractors should appear similar to the key answer in terms of the used words, grammatical form, style, and length [19]. Distractor efficiency (DE) is the ability of incorrect answers to distract the students [12].
A functional distractor (FD) the distractor that is selected by 5% or more of the examinee [4, 33]. At the same time, those chosen by less than 5% of the examinee are considered non-functional (NFD) [4]. In comparison, other authors reported 1% of the examinee as the demarcation of functional distractors [34, 35]. Commonly items are categorized based on the numbers of NFDs in the item (Table 2) [12, 26, 36, 37].
Number of NFD | Percentage | Interpritation |
---|---|---|
3 | 0 | Poor |
2 | 33.3 | Moderate |
1 | 66.6 | Good |
0 | 100 | Excellent |
Classification of items according to thee number of the nonfunctional distractors (NFD).
The occurrence of NFD makes the item easier and reduces its discrimination power, while FD distractors are making it more difficult [36, 38]. It was reported that non-functional distractors are negatively correlating with reliability [38]. The presence of non-functional distractors can be related to two main causes. First is the training and construction ability of the item writer or composer. Second, the miss-match between the target content and the possible number of a distractor created. Thus, training and more effort in item writing and construction can decrease NFDs [36]. Other causes were related to NFDs, including the low cognitive level of the item, irrelevant or limited number of plausible distractors, or presence of logic cues [39]. Another possibility of NFDs is mastering the content material of the item, and students can identify the distractor as the wrong one. If no other cause (s) for NFDs, they should be removed or changed with a more plausible option because it has no contribution to the measurement of the test [12]. If a distractor is selected more frequently than the key answer by a higher-scoring examinee, this may indicate poor constructions or a misleading question or miss or double-keyed [12, 40]. In this, concerning the use of three options is more practical than four, does not affect reliability, and does not affect the discrimination index significantly [26, 35, 36, 37].
Furthermore, it was reported that there is no psychometric reason that all items in the exam should have the same number of distractors [26, 41]. The required number of options in an item should be considered according to the content material from which plausible distractors can be developed [33, 40, 42].
Reducing the number of options/distractors will result in other important benefits such as reducing the answering time of the test and safe time can be used to cover more content material, reduce the burden on item composers, and have items with more acceptable parameters [43, 44].
Puthiaparampil et al. reported a non-high significant negative and positive correlation between the number of functional distractors and difficulty and discrimination indices, respectively [34]. While a significant positive correlation was reported between the DIF and the number of NFDs [45].
Many authors concluded that no predictable relationship between DE and difficulty index and discrimination index [26, 31, 40, 46, 47]. In addition Licona-Chávez et al. did not find a parallel performance between DE and other parameters of item analysis including Cronbach alpha [46]. In contrast, some authors claimed that low DE decreases the difficulty index [47, 48].
Restoring the optimal DE of the item can be achieved by identifying flaws related to the NFDs and correcting them or removing the NFDs from the item [39].
The item difficulty (easiness, facility index, P-value) is the percentage of students who answered an item correctly [6, 40]. The difficulty index ranges from 0 to 100, whereas the higher the values indicate, the easier the question and the low value represents the difficulty of hard items. The ideal (optimal) difficulty levels for type A MCQs is varying according to the number of the options (Table 3) [49, 50]. The range of items difficulty can be categorized into difficult, moderate, and easy. Easy and difficult items were reported to have very little discrimination power [48]. Item difficulty is related to the item and the examinee that took the test in the given time [24]. Thus, reusing of the item depending on its difficulty index should be controlled. Some authors found that difficulty indices of items assessing high cognitive levels in Bloom’s taxonomy such as evaluation, explanation, analysis, and synthesis are lower than those assessing remembering, understanding, and applying [51, 52].
The ideal (optimal) difficulty level (for tests with 100 items).
During item or exam construction, the constructor should aim for acceptably level of difficulty [6]. Sugianto reported that items within the exam could be distributed according to difficulty to moderate level (40%), easy and challenging levels (20%), and easier and more challenging levels (10%) [6]. Other authors reported that most items should be of moderate difficulty or 5% should be in the difficult range [50, 53]. Some authors found that difficulty indices of items assessing high cognitive levels in Bloom’s taxonomy such as evaluation, explanation, analysis, and synthesis are lower than those assessing remembering, understanding, and applying [51, 52]. Regarding the general arrangement of test or examination, easy items start first then are followed by difficult ones. At the same time, in the case of diagnostic assessment, the sequence of the learning material is more important [6, 7].
Easy and difficult items affect the item’s ability to discriminate between students and show low discrimination power. Some reports described a negative correlation between exam reliability and difficult and easy items [38]. Oermann et al. reported that educationalists must be careful in deleting items with poor DIF because the number of items has more effect on test validity [54]. It is recommended that difficult items should be reviewed for the possible technical and content causes [50]. Possible causes of low difficulty index include uncovered (taught) content material, challenging items, missed key or no correct answer among the item options [55]. Easy items (high
In literature including medical education, many ranges of difficulty indices were reported (Table 4).
Author | Difficulty index | Interpretation |
---|---|---|
Uddin et al. [50] | >80% | Easy |
30–80% | Moderate | |
<30% | Difficult | |
Kaur, Singla et al. [56] | >80 | Easy |
40–80 | Moderate | |
<39 | Difficult | |
Sugianto [6] | 90 | Easy |
50 | Moderate | |
10 | Difficult | |
Date, Borkar et al. [37] and Kumar, Jaipurkar et al. [36] | <30 | Too difficult |
>70% | Too easy | |
50–60% | Excellent/ideal | |
30–70% | Good/acceptable/average | |
Obon and Rey [12] | > 0.76 | Easy (Revise or Discard) |
0.26–0.75 | Right difficult (Retain) | |
0–0.25 | Difficult (Revise or Discard) | |
Bhat and Prasad [57] | >70% | Easy |
30–70% | Good | |
<30% | Difficult |
Reference values and interpretation of difficulty index (p-value).
Item discrimination (DI) is the ability of an item to discriminate between higher achiever (good) students and low ones. It was defined as “stated that item discrimination is a statistic that indicates the degree to which an item separates the students who performed well from those who did poorly on the test as a whole” [6]. The discrimination power of an item is calculated by categorizing the examinee into upper 27% and lower 27% according to their total test score. The difference between the upper and lower group is divided by the number of the examinee in the upper group or the larger group or by half of the total number of the examinee or even by the total number [4, 6, 58, 59]. Obon and Rey [12] calculated the discrimination index as the difference of difficulty index between the upper and lower groups [12]. In literature, both 25 and 27% were reported as possible percentages of examinee categorization [60, 61]. The 27% is commonly used to maximize differences in normal distributions and increase the number of examinees in each category. The discrimination index range from 1.0 to −1.0. The positive discrimination index indicates that high achievers answer the item correctly more than those in the lower ones, which is desirable. The negative discrimination index reflects that lower achiever examinees answer the item more correctly, while zero discrimination indicates equal numbers of students in the upper and lower groups [36, 37]. Negative discrimination is thought to be due to item flaws or inefficient distractors, miss keys, ambiguous wording, gray areas of opinion, and areas of controversy [12, 62]. Nevid and McClelland [52] reported that items assessing evaluation and explanation domains could discriminate between high and low performers, while Kim et al. [51] comments that items assessing remembering and understanding levels have low discrimination power [52, 54].
It was reported that discrimination indices are positively associated with difficulty index and distractor efficiency [39, 63]. The discrimination power of the item is reduced by the increased number of non-functional distractors [36].
A test with poor discriminating power will not provide a reliable interpretation of the examinee’s actual ability [6, 64]. In addition, discrimination power will not indicate item validity, and deletion of items with poor discrimination power negatively impacts validity due to a decrease in the item number [65].
Discrimination coefficients can evaluate item discrimination. The discrimination coefficients include point biserial correlation, biserial correlation, and phi coefficient. Although point biserial correlation is used interchangeably with the discrimination index, discrimination coefficients are considered superior to the discrimination index [24]. The superiority came from the fact that discrimination coefficients are calculated using all examinees’ responses in the item rather than only 54% of the examinees such as in the discrimination index.
The difference between Point-biserial correlation (rBP) and discrimination indexes is that rBP is the correlation between an item in the exam and the overall student score [2, 66]. In cases of highly discriminating items, the examinees who responded to the item correctly also did well on the test. In general, the examinees who responded to the item incorrectly also tended to perform poorly on the overall test. It was suggested that point biserial can express the predictive validity better than Biserial correlation coefficients [61, 67].
Discrimination power of items more than 0.15 was reported as evidence of item validity [50, 53]. While any item with less than 0.15 or negative should be reviewed [50] (Table 5).
Author | Discrimination power | Interpretation |
---|---|---|
Elfaki, Bahamdan et al. [53] | ≥0.35 | Excellent |
0.25–0.34 | Good | |
0.21–0.24 | Acceptable | |
≤ 0.20 | Poor | |
Obon and Rey [12] | ≥ 0.50 | Very Good Item (Definitely Retain) |
0.40–0.49 | Good Item (Very Usable) | |
0.30–0.39 | Fair Quality (Usable Item) | |
0.20–0.29 | Potentially Poor Item (Consider Revising) | |
≤ 0.20 | Potentially Very Poor (Possibly Revise Substantially or Discard) | |
Bhat and Prasad [57] | > 0.35 | Excellent |
0.2–0.35 | Good | |
< 0.2 | Poor | |
Sugianto [6] | >0.40 | Very good |
0.30–0.39 | Reasonably good possibly need to improvement | |
0.20–0.29 | Marginal item usually needing and being to improvement | |
<0.19 | Poor item rejected or improved by revision | |
Aljehani, Pullishery et al. [66] and Sharma [4] | ≥ 0.40 | Very discriminating, very good item(Keep) |
0.30–0.39 | Discriminating item, good item (Keep) | |
0.20–0.29 | Moderately discriminating, fair item (Keep) | |
< 0.20 | Not discriminating item, marginal item (Revise/Discard) | |
Negative | Worst/ defective item (Definitely Discard) | |
Ramzan, Imran et al. [63] | > 0.30 | Excellent discrimination |
0.20–0.29 | Good discrimination | |
0–0.19 | Poor discrimination | |
00 | Defective | |
Uddin et al. [50] | ≥ 0.35 | Excellent |
0.25–0.34 | Good | |
0.21–0.24 | Acceptable | |
< 0.20 | Poor |
Reference values and interpretation of discrimination index (power).
When interpreting the discrimination power of an item to decide about, especial consideration should be related to its difficulty. Items with a high difficulty index (most of the examinee answer it right) and those with low difficulty index (most of the examinee answer it wrong) commonly have low discrimination power [35, 63]. In both cases, such items will not discriminate examines as the majority are on one side. Thus items with a moderate difficulty index are more likely to have good discrimination power.
The common causes of poor discrimination power of item include technical or writing flaws, untaught or not well covered content material, ambiguous wording, gray areas of opinion and controversy, and wrong keys [12, 50, 62, 66].
In general, the statistical data obtained from item analysis can help item constructors and exam composers to detect defective items. The decision to revise an item or distractors must be based on the difficulty index, discrimination index, and distractor efficiency. Revision of items can lead to modification in the teaching method or the content material [68].
Standard item analysis of mid-course examination. The total number of items is 40, and the total number of the examinee is 21. The KR20 is 0.82. Pt.Biserial: Point biserial correlation, Disc Index: discrimination index, Correct: number and percentage of the correct answer (difficulty index), Pct. Incorrect: percentage of an incorrect answer.
In this Example 1.
The number of examinees was 21.
The number of test items (Total possible) is 40.
The highest and lowest scores were 38 and 14 respectively.
The class average (mean) (30.3) is more than the class median (30) which represents a positively skewed distribution of examinee scores. Despite this, examinee scores may show normal ball-shape distribution. If the median is larger than the average (mean), the examinee scores will be negatively skewed distribution. Average equals median, the examinees’ scores are symmetrically (zero skewed) and normally distributed with ball-shaped.
The KR20 (Cronbach’s alpha) is 0.82 which is an acceptable value for most of the authors. Such value of internal consistency of exam allows deciding pass/fail. Lower values put the exam in questionable status.
Item 1: the difficulty index is 85.7% (easy). Although it has high discrimination power (DE = 0.6, Pbiserial = 0.58), two distractors are non-functional (B, C).
Comment: the item needs reediting. Distractors B and C need to be revised or changed by more plausible ones before being re-used.
Item 2: the difficulty index is 100% (easy). It has low discrimination power (DE = 00, Pbiserial = 00), all distractors are non-functional.
Comment: the item needs major revision or rewriting. This item is absolutely easy with no difficulty or discrimination index. Such items should be removed from the question bank and removal from the exam is considered valid.
Item 6: the difficulty index is 66.7% (moderate). It has high discrimination power (DE = 0.6, Pbiserial = 0.43) and all the distractors are functional.
Comment: The item has acceptable indices. Such items can be saved in the question bank for further use. The distractors need to be updated to have more efficiency.
Item 7: the difficulty index is 28.6% (difficult). Although it has high discrimination power (DE = 0.67, Pbiserial = 0.39), all the distractors are functional.
Comment: The item has acceptable indices. Such items can be saved in the question bank for further use. The distractors need to be updated to have more efficiency.
Item 8: the difficulty index is 76.2% (moderate). This item has a negative discrimination index (−0.33) and poor Pbiserial (0.04). Only one distractor is functional (C). The negative discrimination index is caused by the increased number of students in the lower account (27%) than those in the upper account (27%).
Comment: although the item has a moderate difficulty index, but is poorly discriminating. Such an item needs major revision.
Standard item analysis of Mid-course examination. The total number of items is 40, and the total number of examinee is 25. The KR20 is 0.74. Pt.Biserial: Point biserial correlation, Disc Index: discrimination index, Correct: number and percentage of the correct answer (difficulty index), Pct. Incorrect: percentage of an incorrect answer.
In this Example 2.
The number of examinees was 25.
The number of test items is 40.
The highest and lowest scores were 33 and 13 respectively.
The class average (mean) (24.6) is more than the class median (25), distribution of examinee scores is skewed to the left. Despite this, examinee scores may show normal ball shape distribution.
The KR20 (Cronbach’s alpha) is 0.74 which is an acceptable value for most of the authors. Such a value of internal consistency is suitable for class tests.
Item 8: the difficulty index is 4.0% (difficult). It has negative discrimination power (DE = -0.17, Pbiserial = −0.06), one distractors is non-functional (C).
Comment: the correct answer is (A) while most of the examinees chose (B). According to distractor analysis, this item is miss-keyed rather than an implausible distractor.
Item 9: the difficulty index is 20% (difficult). It has low discrimination power (DE = 0.17, Pbiserial = 0.09), all distractors are functional.
Comment: distractor analysis show option number (A) and (B) are more selected by examinees. This can be due to implausible. The presence of implausible can affect the item difficulty index. Distractors in this item should be revised or changed with plausible ones.
Item 11: the difficulty index is 44.0% (moderate). It has low discrimination power (DE = 0.0, Pbiserial = 0.01) and only one the distractors is non-functional.
Comment: The item has an acceptable difficulty index. Distractor (D) is more selected by upper examinee such as the key answer. Such a situation can favor missed key or implausible distractors. The distractors need to be updated to have more efficiency.
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Recently, he expanded his research interest to epidemiology and biostatistics of chronic diseases in Gabon.",institutionString:"Kent State University",institution:{name:"Kent State University",country:{name:"United States of America"}}},{id:"188773",title:"Prof.",name:"Emmanuel",middleName:null,surname:"Drouet",slug:"emmanuel-drouet",fullName:"Emmanuel Drouet",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/188773/images/system/188773.png",biography:"Emmanuel Drouet, PharmD, is a Professor of Virology at the Faculty of Pharmacy, the University Grenoble-Alpes, France. As a head scientist at the Institute of Structural Biology in Grenoble, Dr. Drouet’s research investigates persisting viruses in humans (RNA and DNA viruses) and the balance with our host immune system. He focuses on these viruses’ effects on humans (both their impact on pathology and their symbiotic relationships in humans). He has an excellent track record in the herpesvirus field, and his group is engaged in clinical research in the field of Epstein-Barr virus diseases. He is the editor of the online Encyclopedia of Environment and he coordinates the Universal Health Coverage education program for the BioHealth Computing Schools of the European Institute of Science.",institutionString:null,institution:{name:"Grenoble Alpes University",country:{name:"France"}}},{id:"131400",title:"Prof.",name:"Alfonso J.",middleName:null,surname:"Rodriguez-Morales",slug:"alfonso-j.-rodriguez-morales",fullName:"Alfonso J. Rodriguez-Morales",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/131400/images/system/131400.png",biography:"Dr. Rodriguez-Morales is an expert in tropical and emerging diseases, particularly zoonotic and vector-borne diseases (especially arboviral diseases). He is the president of the Travel Medicine Committee of the Pan-American Infectious Diseases Association (API), as well as the president of the Colombian Association of Infectious Diseases (ACIN). He is a member of the Committee on Tropical Medicine, Zoonoses, and Travel Medicine of ACIN. He is a vice-president of the Latin American Society for Travel Medicine (SLAMVI) and a Member of the Council of the International Society for Infectious Diseases (ISID). Since 2014, he has been recognized as a Senior Researcher, at the Ministry of Science of Colombia. He is a professor at the Faculty of Medicine of the Fundacion Universitaria Autonoma de las Americas, in Pereira, Risaralda, Colombia. He is an External Professor, Master in Research on Tropical Medicine and International Health, Universitat de Barcelona, Spain. He is also a professor at the Master in Clinical Epidemiology and Biostatistics, Universidad Científica del Sur, Lima, Peru. In 2021 he has been awarded the “Raul Isturiz Award” Medal of the API. Also, in 2021, he was awarded with the “Jose Felix Patiño” Asclepius Staff Medal of the Colombian Medical College, due to his scientific contributions to COVID-19 during the pandemic. He is currently the Editor in Chief of the journal Travel Medicine and Infectious Diseases. His Scopus H index is 47 (Google Scholar H index, 68).",institutionString:"Institución Universitaria Visión de las Américas, Colombia",institution:null},{id:"332819",title:"Dr.",name:"Chukwudi Michael",middleName:"Michael",surname:"Egbuche",slug:"chukwudi-michael-egbuche",fullName:"Chukwudi Michael Egbuche",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/332819/images/14624_n.jpg",biography:"I an Dr. Chukwudi Michael Egbuche. I am a Senior Lecturer in the Department of Parasitology and Entomology, Nnamdi Azikiwe University, Awka.",institutionString:null,institution:{name:"Nnamdi Azikiwe University",country:{name:"Nigeria"}}},{id:"284232",title:"Mr.",name:"Nikunj",middleName:"U",surname:"Tandel",slug:"nikunj-tandel",fullName:"Nikunj Tandel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/284232/images/8275_n.jpg",biography:'Mr. Nikunj Tandel has completed his Master\'s degree in Biotechnology from VIT University, India in the year of 2012. He is having 8 years of research experience especially in the field of malaria epidemiology, immunology, and nanoparticle-based drug delivery system against the infectious diseases, autoimmune disorders and cancer. He has worked for the NIH funded-International Center of Excellence in Malaria Research project "Center for the study of complex malaria in India (CSCMi)" in collaboration with New York University. The preliminary objectives of the study are to understand and develop the evidence-based tools and interventions for the control and prevention of malaria in different sites of the INDIA. Alongside, with the help of next-generation genomics study, the team has studied the antimalarial drug resistance in India. Further, he has extended his research in the development of Humanized mice for the study of liver-stage malaria and identification of molecular marker(s) for the Artemisinin resistance. At present, his research focuses on understanding the role of B cells in the activation of CD8+ T cells in malaria. Received the CSIR-SRF (Senior Research Fellow) award-2018, FIMSA (Federation of Immunological Societies of Asia-Oceania) Travel Bursary award to attend the IUIS-IIS-FIMSA Immunology course-2019',institutionString:"Nirma University",institution:{name:"Nirma University",country:{name:"India"}}},{id:"334383",title:"Ph.D.",name:"Simone",middleName:"Ulrich",surname:"Ulrich Picoli",slug:"simone-ulrich-picoli",fullName:"Simone Ulrich Picoli",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/334383/images/15919_n.jpg",biography:"Graduated in Pharmacy from Universidade Luterana do Brasil (1999), Master in Agricultural and Environmental Microbiology from Federal University of Rio Grande do Sul (2002), Specialization in Clinical Microbiology from Universidade de São Paulo, USP (2007) and PhD in Sciences in Gastroenterology and Hepatology (2012). She is currently an Adjunct Professor at Feevale University in Medicine and Biomedicine courses and a permanent professor of the Academic Master\\'s Degree in Virology. She has experience in the field of Microbiology, with an emphasis on Bacteriology, working mainly on the following topics: bacteriophages, bacterial resistance, clinical microbiology and food microbiology.",institutionString:null,institution:{name:"Universidade Feevale",country:{name:"Brazil"}}},{id:"229220",title:"Dr.",name:"Amjad",middleName:"Islam",surname:"Aqib",slug:"amjad-aqib",fullName:"Amjad Aqib",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229220/images/system/229220.png",biography:"Dr. Amjad Islam Aqib obtained a DVM and MSc (Hons) from University of Agriculture Faisalabad (UAF), Pakistan, and a PhD from the University of Veterinary and Animal Sciences Lahore, Pakistan. Dr. Aqib joined the Department of Clinical Medicine and Surgery at UAF for one year as an assistant professor where he developed a research laboratory designated for pathogenic bacteria. Since 2018, he has been Assistant Professor/Officer in-charge, Department of Medicine, Manager Research Operations and Development-ORIC, and President One Health Club at Cholistan University of Veterinary and Animal Sciences, Bahawalpur, Pakistan. He has nearly 100 publications to his credit. His research interests include epidemiological patterns and molecular analysis of antimicrobial resistance and modulation and vaccine development against animal pathogens of public health concern.",institutionString:"Cholistan University of Veterinary and Animal Sciences",institution:null},{id:"62900",title:"Prof.",name:"Fethi",middleName:null,surname:"Derbel",slug:"fethi-derbel",fullName:"Fethi Derbel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/62900/images/system/62900.jpeg",biography:"Professor Fethi Derbel was born in 1960 in Tunisia. He received his medical degree from the Sousse Faculty of Medicine at Sousse, University of Sousse, Tunisia. He completed his surgical residency in General Surgery at the University Hospital Farhat Hached of Sousse and was a member of the Unit of Liver Transplantation in the University of Rennes, France. He then worked in the Department of Surgery at the Sahloul University Hospital in Sousse. Professor Derbel is presently working at the Clinique les Oliviers, Sousse, Tunisia. His hospital activities are mostly concerned with laparoscopic, colorectal, pancreatic, hepatobiliary, and gastric surgery. He is also very interested in hernia surgery and performs ventral hernia repairs and inguinal hernia repairs. He has been a member of the GREPA and Tunisian Hernia Society (THS). During his residency, he managed patients suffering from diabetic foot, and he was very interested in this pathology. For this reason, he decided to coordinate a book project dealing with the diabetic foot. Professor Derbel has published many articles in journals and collaborates intensively with IntechOpen Access Publisher as an editor.",institutionString:"Clinique les Oliviers",institution:null},{id:"300144",title:"Dr.",name:"Meriem",middleName:null,surname:"Braiki",slug:"meriem-braiki",fullName:"Meriem Braiki",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/300144/images/system/300144.jpg",biography:"Dr. Meriem Braiki is a specialist in pediatric surgeon from Tunisia. She was born in 1985. She received her medical degree from the University of Medicine at Sousse, Tunisia. She achieved her surgical residency training periods in Pediatric Surgery departments at University Hospitals in Monastir, Tunis and France.\r\nShe is currently working at the Pediatric surgery department, Sidi Bouzid Hospital, Tunisia. Her hospital activities are mostly concerned with laparoscopic, parietal, urological and digestive surgery. She has published several articles in diffrent journals.",institutionString:"Sidi Bouzid Regional Hospital",institution:null},{id:"229481",title:"Dr.",name:"Erika M.",middleName:"Martins",surname:"de Carvalho",slug:"erika-m.-de-carvalho",fullName:"Erika M. de Carvalho",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/229481/images/6397_n.jpg",biography:null,institutionString:null,institution:{name:"Oswaldo Cruz Foundation",country:{name:"Brazil"}}},{id:"186537",title:"Prof.",name:"Tonay",middleName:null,surname:"Inceboz",slug:"tonay-inceboz",fullName:"Tonay Inceboz",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/186537/images/system/186537.jfif",biography:"I was graduated from Ege University of Medical Faculty (Turkey) in 1988 and completed his Med. PhD degree in Medical Parasitology at the same university. I became an Associate Professor in 2008 and Professor in 2014. I am currently working as a Professor at the Department of Medical Parasitology at Dokuz Eylul University, Izmir, Turkey.\n\nI have given many lectures, presentations in different academic meetings. I have more than 60 articles in peer-reviewed journals, 18 book chapters, 1 book editorship.\n\nMy research interests are Echinococcus granulosus, Echinococcus multilocularis (diagnosis, life cycle, in vitro and in vivo cultivation), and Trichomonas vaginalis (diagnosis, PCR, and in vitro cultivation).",institutionString:"Dokuz Eylül University",institution:{name:"Dokuz Eylül University",country:{name:"Turkey"}}},{id:"71812",title:"Prof.",name:"Hanem Fathy",middleName:"Fathy",surname:"Khater",slug:"hanem-fathy-khater",fullName:"Hanem Fathy Khater",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/71812/images/1167_n.jpg",biography:"Prof. Khater is a Professor of Parasitology at Benha University, Egypt. She studied for her doctoral degree, at the Department of Entomology, College of Agriculture, Food and Natural Resources, University of Missouri, Columbia, USA. She has completed her Ph.D. degrees in Parasitology in Egypt, from where she got the award for “the best scientific Ph.D. dissertation”. She worked at the School of Biological Sciences, Bristol, England, the UK in controlling insects of medical and veterinary importance as a grant from Newton Mosharafa, the British Council. Her research is focused on searching of pesticides against mosquitoes, house flies, lice, green bottle fly, camel nasal botfly, soft and hard ticks, mites, and the diamondback moth as well as control of several parasites using safe and natural materials to avoid drug resistances and environmental contamination.",institutionString:null,institution:{name:"Banha University",country:{name:"Egypt"}}},{id:"99780",title:"Prof.",name:"Omolade",middleName:"Olayinka",surname:"Okwa",slug:"omolade-okwa",fullName:"Omolade Okwa",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/99780/images/system/99780.jpg",biography:"Omolade Olayinka Okwa is presently a Professor of Parasitology at Lagos State University, Nigeria. She has a PhD in Parasitology (1997), an MSc in Cellular Parasitology (1992), and a BSc (Hons) Zoology (1990) all from the University of Ibadan, Nigeria. She teaches parasitology at the undergraduate and postgraduate levels. She was a recipient of a Commonwealth fellowship supported by British Council tenable at the Centre for Entomology and Parasitology (CAEP), Keele University, United Kingdom between 2004 and 2005. She was awarded an Honorary Visiting Research Fellow at the same university from 2005 to 2007. \nShe has been an external examiner to the Department of Veterinary Microbiology and Parasitology, University of Ibadan, MSc programme between 2010 and 2012. She is a member of the Nigerian Society of Experimental Biology (NISEB), Parasitology and Public Health Society of Nigeria (PPSN), Science Association of Nigeria (SAN), Zoological Society of Nigeria (ZSN), and is Vice Chairperson of the Organisation of Women in Science (OWSG), LASU chapter. She served as Head of Department of Zoology and Environmental Biology, Lagos State University from 2007 to 2010 and 2014 to 2016. She is a reviewer for several local and international journals such as Unilag Journal of Science, Libyan Journal of Medicine, Journal of Medicine and Medical Sciences, and Annual Research and Review in Science. \nShe has authored 45 scientific research publications in local and international journals, 8 scientific reviews, 4 books, and 3 book chapters, which includes the books “Malaria Parasites” and “Malaria” which are IntechOpen access publications.",institutionString:"Lagos State University",institution:{name:"Lagos State University",country:{name:"Nigeria"}}},{id:"273100",title:"Dr.",name:"Vijay",middleName:null,surname:"Gayam",slug:"vijay-gayam",fullName:"Vijay Gayam",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/273100/images/system/273100.jpeg",biography:"Dr. Vijay Bhaskar Reddy Gayam is currently practicing as an internist at Interfaith Medical Center in Brooklyn, New York, USA. He is also a Clinical Assistant Professor at the SUNY Downstate University Hospital and Adjunct Professor of Medicine at the American University of Antigua. He is a holder of an M.B.B.S. degree bestowed to him by Osmania Medical College and received his M.D. at Interfaith Medical Center. His career goals thus far have heavily focused on direct patient care, medical education, and clinical research. He currently serves in two leadership capacities; Assistant Program Director of Medicine at Interfaith Medical Center and as a Councilor for the American\r\nFederation for Medical Research. As a true academician and researcher, he has more than 50 papers indexed in international peer-reviewed journals. He has also presented numerous papers in multiple national and international scientific conferences. His areas of research interest include general internal medicine, gastroenterology and hepatology. He serves as an editor, editorial board member and reviewer for multiple international journals. His research on Hepatitis C has been very successful and has led to multiple research awards, including the 'Equity in Prevention and Treatment Award” from the New York Department of Health Viral Hepatitis Symposium (2018) and the 'Presidential Poster Award” awarded to him by the American College of Gastroenterology (2018). He was also awarded 'Outstanding Clinician in General Medicine” by Venus International Foundation for his extensive research expertise and services, perform over and above the standard expected in the advancement of healthcare, patient safety and quality of care.",institutionString:"Interfaith Medical Center",institution:{name:"Interfaith Medical Center",country:{name:"United States of America"}}},{id:"93517",title:"Dr.",name:"Clement",middleName:"Adebajo",surname:"Meseko",slug:"clement-meseko",fullName:"Clement Meseko",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/93517/images/system/93517.jpg",biography:"Dr. Clement Meseko obtained DVM and PhD degree in Veterinary Medicine and Virology respectively. He has worked for over 20 years in both private and public sectors including the academia, contributing to knowledge and control of infectious disease. Through the application of epidemiological skill, classical and molecular virological skills, he investigates viruses of economic and public health importance for the mitigation of the negative impact on people, animal and the environment in the context of Onehealth. \r\nDr. Meseko’s field experience on animal and zoonotic diseases and pathogen dynamics at the human-animal interface over the years shaped his carrier in research and scientific inquiries. He has been part of the investigation of Highly Pathogenic Avian Influenza incursions in sub Saharan Africa and monitors swine Influenza (Pandemic influenza Virus) agro-ecology and potential for interspecies transmission. He has authored and reviewed a number of journal articles and book chapters.",institutionString:"National Veterinary Research Institute",institution:{name:"National Veterinary Research Institute",country:{name:"Nigeria"}}},{id:"158026",title:"Prof.",name:"Shailendra K.",middleName:null,surname:"Saxena",slug:"shailendra-k.-saxena",fullName:"Shailendra K. Saxena",position:null,profilePictureURL:"https://s3.us-east-1.amazonaws.com/intech-files/0030O00002bRET3QAO/Profile_Picture_2022-05-10T10:10:26.jpeg",biography:"Professor Dr. Shailendra K. Saxena is a vice dean and professor at King George's Medical University, Lucknow, India. His research interests involve understanding the molecular mechanisms of host defense during human viral infections and developing new predictive, preventive, and therapeutic strategies for them using Japanese encephalitis virus (JEV), HIV, and emerging viruses as a model via stem cell and cell culture technologies. His research work has been published in various high-impact factor journals (Science, PNAS, Nature Medicine) with a high number of citations. He has received many awards and honors in India and abroad including various Young Scientist Awards, BBSRC India Partnering Award, and Dr. JC Bose National Award of Department of Biotechnology, Min. of Science and Technology, Govt. of India. Dr. Saxena is a fellow of various international societies/academies including the Royal College of Pathologists, United Kingdom; Royal Society of Medicine, London; Royal Society of Biology, United Kingdom; Royal Society of Chemistry, London; and Academy of Translational Medicine Professionals, Austria. He was named a Global Leader in Science by The Scientist. He is also an international opinion leader/expert in vaccination for Japanese encephalitis by IPIC (UK).",institutionString:"King George's Medical University",institution:{name:"King George's Medical University",country:{name:"India"}}},{id:"94928",title:"Dr.",name:"Takuo",middleName:null,surname:"Mizukami",slug:"takuo-mizukami",fullName:"Takuo Mizukami",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/94928/images/6402_n.jpg",biography:null,institutionString:null,institution:{name:"National Institute of Infectious Diseases",country:{name:"Japan"}}},{id:"233433",title:"Dr.",name:"Yulia",middleName:null,surname:"Desheva",slug:"yulia-desheva",fullName:"Yulia Desheva",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/233433/images/system/233433.png",biography:"Dr. Yulia Desheva is a leading researcher at the Institute of Experimental Medicine, St. Petersburg, Russia. She is a professor in the Stomatology Faculty, St. Petersburg State University. She has expertise in the development and evaluation of a wide range of live mucosal vaccines against influenza and bacterial complications. Her research interests include immunity against influenza and COVID-19 and the development of immunization schemes for high-risk individuals.",institutionString:'Federal State Budgetary Scientific Institution "Institute of Experimental Medicine"',institution:null},{id:"238958",title:"Mr.",name:"Atamjit",middleName:null,surname:"Singh",slug:"atamjit-singh",fullName:"Atamjit Singh",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/238958/images/6575_n.jpg",biography:null,institutionString:null,institution:null},{id:"333753",title:"Dr.",name:"Rais",middleName:null,surname:"Ahmed",slug:"rais-ahmed",fullName:"Rais Ahmed",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/333753/images/20168_n.jpg",biography:null,institutionString:null,institution:null},{id:"252058",title:"M.Sc.",name:"Juan",middleName:null,surname:"Sulca",slug:"juan-sulca",fullName:"Juan Sulca",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/252058/images/12834_n.jpg",biography:null,institutionString:null,institution:null},{id:"191392",title:"Dr.",name:"Marimuthu",middleName:null,surname:"Govindarajan",slug:"marimuthu-govindarajan",fullName:"Marimuthu Govindarajan",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/191392/images/5828_n.jpg",biography:"Dr. M. Govindarajan completed his BSc degree in Zoology at Government Arts College (Autonomous), Kumbakonam, and MSc, MPhil, and PhD degrees at Annamalai University, Annamalai Nagar, Tamil Nadu, India. He is serving as an assistant professor at the Department of Zoology, Annamalai University. His research interests include isolation, identification, and characterization of biologically active molecules from plants and microbes. He has identified more than 20 pure compounds with high mosquitocidal activity and also conducted high-quality research on photochemistry and nanosynthesis. He has published more than 150 studies in journals with impact factor and 2 books in Lambert Academic Publishing, Germany. He serves as an editorial board member in various national and international scientific journals.",institutionString:null,institution:null},{id:"274660",title:"Dr.",name:"Damodar",middleName:null,surname:"Paudel",slug:"damodar-paudel",fullName:"Damodar Paudel",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/274660/images/8176_n.jpg",biography:"I am DrDamodar Paudel,currently working as consultant Physician in Nepal police Hospital.",institutionString:null,institution:null},{id:"241562",title:"Dr.",name:"Melvin",middleName:null,surname:"Sanicas",slug:"melvin-sanicas",fullName:"Melvin Sanicas",position:null,profilePictureURL:"https://mts.intechopen.com/storage/users/241562/images/6699_n.jpg",biography:null,institutionString:null,institution:null},{id:"337446",title:"Dr.",name:"Maria",middleName:null,surname:"Zavala-Colon",slug:"maria-zavala-colon",fullName:"Maria Zavala-Colon",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Puerto Rico, Medical Sciences Campus",country:{name:"United States of America"}}},{id:"338856",title:"Mrs.",name:"Nur Alvira",middleName:null,surname:"Pascawati",slug:"nur-alvira-pascawati",fullName:"Nur Alvira Pascawati",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Universitas Respati Yogyakarta",country:{name:"Indonesia"}}},{id:"441116",title:"Dr.",name:"Jovanka M.",middleName:null,surname:"Voyich",slug:"jovanka-m.-voyich",fullName:"Jovanka M. Voyich",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"Montana State University",country:{name:"United States of America"}}},{id:"330412",title:"Dr.",name:"Muhammad",middleName:null,surname:"Farhab",slug:"muhammad-farhab",fullName:"Muhammad Farhab",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Agriculture Faisalabad",country:{name:"Pakistan"}}},{id:"349495",title:"Dr.",name:"Muhammad",middleName:null,surname:"Ijaz",slug:"muhammad-ijaz",fullName:"Muhammad Ijaz",position:null,profilePictureURL:"//cdnintech.com/web/frontend/www/assets/author.svg",biography:null,institutionString:null,institution:{name:"University of Veterinary and Animal Sciences",country:{name:"Pakistan"}}}]}},subseries:{item:{id:"38",type:"subseries",title:"Pollution",keywords:"Human activity, Pollutants, Reduced risks, Population growth, Waste disposal, Remediation, Clean environment",scope:"\r\n\tPollution is caused by a wide variety of human activities and occurs in diverse forms, for example biological, chemical, et cetera. In recent years, significant efforts have been made to ensure that the environment is clean, that rigorous rules are implemented, and old laws are updated to reduce the risks towards humans and ecosystems. However, rapid industrialization and the need for more cultivable sources or habitable lands, for an increasing population, as well as fewer alternatives for waste disposal, make the pollution control tasks more challenging. Therefore, this topic will focus on assessing and managing environmental pollution. It will cover various subjects, including risk assessment due to the pollution of ecosystems, transport and fate of pollutants, restoration or remediation of polluted matrices, and efforts towards sustainable solutions to minimize environmental pollution.
",coverUrl:"https://cdn.intechopen.com/series_topics/covers/38.jpg",hasOnlineFirst:!1,hasPublishedBooks:!0,annualVolume:11966,editor:{id:"110740",title:"Dr.",name:"Ismail M.M.",middleName:null,surname:"Rahman",slug:"ismail-m.m.-rahman",fullName:"Ismail M.M. Rahman",profilePictureURL:"https://mts.intechopen.com/storage/users/110740/images/2319_n.jpg",biography:"Ismail Md. Mofizur Rahman (Ismail M. M. Rahman) assumed his current responsibilities as an Associate Professor at the Institute of Environmental Radioactivity, Fukushima University, Japan, in Oct 2015. He also has an honorary appointment to serve as a Collaborative Professor at Kanazawa University, Japan, from Mar 2015 to the present. \nFormerly, Dr. Rahman was a faculty member of the University of Chittagong, Bangladesh, affiliated with the Department of Chemistry (Oct 2002 to Mar 2012) and the Department of Applied Chemistry and Chemical Engineering (Mar 2012 to Sep 2015). Dr. Rahman was also adjunctly attached with Kanazawa University, Japan (Visiting Research Professor, Dec 2014 to Mar 2015; JSPS Postdoctoral Research Fellow, Apr 2012 to Mar 2014), and Tokyo Institute of Technology, Japan (TokyoTech-UNESCO Research Fellow, Oct 2004–Sep 2005). \nHe received his Ph.D. degree in Environmental Analytical Chemistry from Kanazawa University, Japan (2011). He also achieved a Diploma in Environment from the Tokyo Institute of Technology, Japan (2005). Besides, he has an M.Sc. degree in Applied Chemistry and a B.Sc. degree in Chemistry, all from the University of Chittagong, Bangladesh. \nDr. Rahman’s research interest includes the study of the fate and behavior of environmental pollutants in the biosphere; design of low energy and low burden environmental improvement (remediation) technology; implementation of sustainable waste management practices for treatment, handling, reuse, and ultimate residual disposition of solid wastes; nature and type of interactions in organic liquid mixtures for process engineering design applications.",institutionString:null,institution:{name:"Fukushima University",institutionURL:null,country:{name:"Japan"}}},editorTwo:{id:"201020",title:"Dr.",name:"Zinnat Ara",middleName:null,surname:"Begum",slug:"zinnat-ara-begum",fullName:"Zinnat Ara Begum",profilePictureURL:"https://mts.intechopen.com/storage/users/201020/images/system/201020.jpeg",biography:"Zinnat A. Begum received her Ph.D. in Environmental Analytical Chemistry from Kanazawa University in 2012. She achieved her Master of Science (M.Sc.) degree with a major in Applied Chemistry and a Bachelor of Science (B.Sc.) in Chemistry, all from the University of Chittagong, Bangladesh. Her work affiliations include Fukushima University, Japan (Visiting Research Fellow, Institute of Environmental Radioactivity: Mar 2016 to present), Southern University Bangladesh (Assistant Professor, Department of Civil Engineering: Jan 2015 to present), and Kanazawa University, Japan (Postdoctoral Fellow, Institute of Science and Engineering: Oct 2012 to Mar 2014; Research fellow, Venture Business Laboratory, Advanced Science and Social Co-Creation Promotion Organization: Apr 2018 to Mar 2021). 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