Jahangirnagar University

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Jahangirnagar University
Short name
JU
Country, city
Bangladesh, Dhaka
Publications
4 212
Citations
79 975
h-index
101
Top-3 journals
Physics of Plasmas
Physics of Plasmas (87 publications)
Heliyon
Heliyon (79 publications)
Top-3 organizations
Top-3 foreign organizations
Nottingham Trent University
Nottingham Trent University (159 publications)
King Abdulaziz University
King Abdulaziz University (106 publications)
University College London
University College London (90 publications)

Most cited in 5 years

Rume T., Islam S.M.
Heliyon scimago Q1 wos Q1 Open Access
2020-09-17 citations by CoLab: 350 Abstract  
Abstract The global outbreak of coronavirus disease 2019 (COVID-19) is affecting every part of human lives, including the physical world. The measures taken to control the spread of the virus and the slowdown of economic activities have significant effects on the environment. Therefore, this study intends to explore the positive and negative environmental impacts of the COVID-19 pandemic, by reviewing the available scientific literatures. This study indicates that, the pandemic situation significantly improves air quality in different cities across the world, reduces GHGs emission, lessens water pollution and noise, and reduces the pressure on the tourist destinations, which may assist with the restoration of the ecological system. In addition, there are also some negative consequences of COVID-19, such as increase of medical waste, haphazard use and disposal of disinfectants, mask, and gloves; and burden of untreated wastes continuously endangering the environment. It seems that, economic activities will return soon after the pandemic, and the situation might change. Hence, this study also outlines possible ways to achieve long-term environmental benefits. It is expected that the proper implementation of the proposed strategies might be helpful for the global environmental sustainability.
Emran T.B., Shahriar A., Mahmud A.R., Rahman T., Abir M.H., Siddiquee M.F., Ahmed H., Rahman N., Nainu F., Wahyudin E., Mitra S., Dhama K., Habiballah M.M., Haque S., Islam A., et. al.
Frontiers in Oncology scimago Q2 wos Q2 Open Access
2022-06-23 citations by CoLab: 303 PDF Abstract  
Cancer is one of the leading causes of death worldwide. Several treatments are available for cancer treatment, but many treatment methods are ineffective against multidrug-resistant cancer. Multidrug resistance (MDR) represents a major obstacle to effective therapeutic interventions against cancer. This review describes the known MDR mechanisms in cancer cells and discusses ongoing laboratory approaches and novel therapeutic strategies that aim to inhibit, circumvent, or reverse MDR development in various cancer types. In this review, we discuss both intrinsic and acquired drug resistance, in addition to highlighting hypoxia- and autophagy-mediated drug resistance mechanisms. Several factors, including individual genetic differences, such as mutations, altered epigenetics, enhanced drug efflux, cell death inhibition, and various other molecular and cellular mechanisms, are responsible for the development of resistance against anticancer agents. Drug resistance can also depend on cellular autophagic and hypoxic status. The expression of drug-resistant genes and the regulatory mechanisms that determine drug resistance are also discussed. Methods to circumvent MDR, including immunoprevention, the use of microparticles and nanomedicine might result in better strategies for fighting cancer.
Khan A.H., Sultana M.S., Hossain S., Hasan M.T., Ahmed H.U., Sikder M.T.
Journal of Affective Disorders scimago Q1 wos Q1
2020-12-01 citations by CoLab: 296 Abstract  
• To the best of our knowledge, this is the first study focused on COVID-19 associated mental health among the home-quarantined Bangladeshi university and college students. • University students had greater psychological impact due to COVID-19 than college students. • Perceived COVID-19 symptoms were significantly associated with higher scores in DASS stress subscale (B = 3.71, 95% CI: 1.01 to 6.40), DASS anxiety subscale (B = 3.95, 95% CI: 1.95 to 5.96), DASS depression subscale (B = 3.82, 95% CI: 0.97 to 6.67) and IES scores (B = 7.52, 95% CI: 3.58 to 11.45). • Physical exercise was significantly associated in lowering scores of DASS depression subscale (B = -2.10, 95% CI: -4.02 to -0.17) • Financial uncertainty, fear of COVID-19 infection, inadequate valid information on COVID-19, and excessive exposure to COVID-19 news on social & mass media had significant negative impact on students’ mental health. COVID-19 is imposing threat both on physical and mental health since its outbreak. Bangladesh adopted lockdown strategy with potential consequences on day to day life, mental and physical health and this study aims to explore the impact of COVID-19 on mental health and wellbeing among Bangladeshi students. A cross-sectional study was conducted between 9th and 23rd April 2020 among 505 college and university students. Data was collected by using online questionnaire including DASS 21 and IES. Descriptive analysis and bivariate linear regression were performed to examine the association of variables. 28.5 % of the respondents had stress, 33.3% anxiety, 46.92% depression from mild to extremely severe, according to DASS 21 and 69.31% had event-specific distress from mild to severe in terms of severity according to IES. Perceiving physical symptoms as COVID-19 was significantly associated with DASS stress subscale (B = 3.71, 95% CI: 1.01 to 6.40), DASS anxiety subscale (B = 3.95, 95% CI: 1.95 to 5.96), DASS depression subscale (B = 3.82, 95% CI: 0.97 to 6.67) and IES scale (B = 7.52, 95% CI: 3.58 to 11.45). Additionally, fear of infection, financial uncertainty, inadequate food supply, absence of physical exercise and limited or no recreational activity had significant association with stress, anxiety, depression and post-traumatic symptoms. This COVID-19 outbreak imposes psychological consequences on people to a great extent which requires attention from the concerned authorities to cope with this situation mentally. The perception about the outbreak can also play a big role in psychological impact.
Dsouza D.D., Quadros S., Hyderabadwala Z.J., Mamun M.A.
Psychiatry Research scimago Q1 wos Q1
2020-08-01 citations by CoLab: 279 Abstract  
Many Indian COVID-19 suicide cases are turning the press-media attention and flooding in the social media platforms although, no particular studies assessed the COVID-19 suicide causative factors to a large extent. Therefore, the present study presents 69 COVID-19 suicide cases (aged 19 to 65 years; 63 cases were males). The suicide causalities are included as follows – fear of COVID-19 infection (n=21), followed by financial crisis (n=19), loneliness, social boycott and pressure to be quarantine, COVID-19 positive, COVID-19 work-related stress, unable to come back home due to lockdown, unavailability of alcohol etc. Considering the extreme psychological impacts related to COVID-19, there emerges a need for countrywide extensive tele-mental health care services.
Mahmud M., Kaiser M.S., McGinnity T.M., Hussain A.
Cognitive Computation scimago Q1 wos Q1
2021-01-05 citations by CoLab: 274 Abstract  
Recent technological advancements in data acquisition tools allowed life scientists to acquire multimodal data from different biological application domains. Categorized in three broad types (i.e. images, signals, and sequences), these data are huge in amount and complex in nature. Mining such enormous amount of data for pattern recognition is a big challenge and requires sophisticated data-intensive machine learning techniques. Artificial neural network-based learning systems are well known for their pattern recognition capabilities, and lately their deep architectures—known as deep learning (DL)—have been successfully applied to solve many complex pattern recognition problems. To investigate how DL—especially its different architectures—has contributed and been utilized in the mining of biological data pertaining to those three types, a meta-analysis has been performed and the resulting resources have been critically analysed. Focusing on the use of DL to analyse patterns in data from diverse biological domains, this work investigates different DL architectures’ applications to these data. This is followed by an exploration of available open access data sources pertaining to the three data types along with popular open-source DL tools applicable to these data. Also, comparative investigations of these tools from qualitative, quantitative, and benchmarking perspectives are provided. Finally, some open research challenges in using DL to mine biological data are outlined and a number of possible future perspectives are put forward.
Ferdous M.Z., Islam M.S., Sikder M.T., Mosaddek A.S., Zegarra-Valdivia J.A., Gozal D.
PLoS ONE scimago Q1 wos Q1 Open Access
2020-10-09 citations by CoLab: 268 PDF Abstract  
In Bangladesh, an array of measures have been adopted to control the rapid spread of the COVID-19 epidemic. Such general population control measures could significantly influence perception, knowledge, attitudes, and practices (KAP) towards COVID-19. Here, we assessed KAP towards COVID-19 immediately after the lock-down measures were implemented and during the rapid rise period of the outbreak. Online-based cross-sectional study conducted from March 29 to April 19, 2020, involving Bangladeshi residents aged 12–64 years, recruited via social media. After consenting, participants completed an online survey assessing socio-demographic variables, perception, and KAP towards COVID-19. Of the 2017 survey participants, 59.8% were male, the majority were students (71.2%), aged 21–30 years (57.9%), having a bachelor's degree (61.0%), having family income >30,000 BDT (50.0%), and living in urban areas (69.8). The survey revealed that 48.3% of participants had more accurate knowledge, 62.3% had more positive attitudes, and 55.1% had more frequent practices regarding COVID-19 prevention. Majority (96.7%) of the participants agreed ‘COVID-19 is a dangerous disease’, almost all (98.7%) participants wore a face mask in crowded places, 98.8% agreed to report a suspected case to health authorities, and 93.8% implemented washing hands with soap and water. In multiple logistic regression analyses, COVID-19 more accurate knowledge was associated with age and residence. Sociodemographic factors such as being older, higher education, employment, monthly family income >30,000 BDT, and having more frequent prevention practices were the more positive attitude factors. More frequent prevention practice factors were associated with female sex, older age, higher education, family income > 30,000 BDT, urban area residence, and having more positive attitudes. To improve KAP of general populations is crucial during the rapid rise period of a pandemic outbreak such as COVID-19. Therefore, development of effective health education programs that incorporate considerations of KAP-modifying factors is needed.
Chowdhury M.F., Khandaker S., Sarker F., Islam A., Rahman M.T., Awual M.R.
Journal of Molecular Liquids scimago Q1 wos Q1
2020-11-01 citations by CoLab: 267 Abstract  
The release of colored wastewater from industries into surface water bodies creates undesirable consequences to the marine ecosystem and human beings owing to its pernicious effect. Indigo dyes being aromatic compounds with complex structure are one of the most important as well as the largest classes of synthetic dyes commercially employed in the textile denim dyeing process. However, being toxic and hazardous to handle, indigo dye poses a risk of permanently damaging of eyes when it comes into direct contact and can also cause perilous trouble to the respiratory tract of human beings. The manufacturing unit handling with indigo dyes incurs huge costs for this contaminated water treatment due to strict regulatory restrictions. This review is primarily focused on the recent studies dealing with the treatment of indigo dye-containing wastewater. There are various treatment methods for the removal of indigo dye including chemical degradation, bacterial decomposition, adsorption on various adsorbents, electrochemical decolorization, as well as the use of employing nanocomposite and activated low-cost charcoal materials. A brief insight into indigo dye removal mechanism and comparison among various methods of wastewater treatment along with their advantages and disadvantages are discussed alongside suggestions for further actions that might be taken into consideration for the improvement of the treatment process from both economic and technological viewpoints. • Description of dye, derivatives, uses and its applications with environmental aspect • Different technologies for dye containing wastewater treatment method were illustrated. • Evaluation of the degradation mechanism of toxic dyes by various methods • A recommendation for dyes removal technologies as a future trend was presented.
Mamun M.A., Ullah I.
Brain, Behavior, and Immunity scimago Q1 wos Q1
2020-07-01 citations by CoLab: 233 Abstract  
• Suicide increment during and afterwards a pandemic is highly common. • This study reports COVID-19 suicide cases in Pakistan for the first time. • Most of the suicides occur due to lockdown-related economic recession. • Fear of infection is the second suicide contributing factor. • Lockdown-related unemployment aggravates the life-threatening situation.
Islam M.R., Hoque M.N., Rahman M.S., Alam A.S., Akther M., Puspo J.A., Akter S., Sultana M., Crandall K.A., Hossain M.A.
Scientific Reports scimago Q1 wos Q1 Open Access
2020-08-19 citations by CoLab: 221 PDF Abstract  
Severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), a novel evolutionary divergent RNA virus, is responsible for the present devastating COVID-19 pandemic. To explore the genomic signatures, we comprehensively analyzed 2,492 complete and/or near-complete genome sequences of SARS-CoV-2 strains reported from across the globe to the GISAID database up to 30 March 2020. Genome-wide annotations revealed 1,516 nucleotide-level variations at different positions throughout the entire genome of SARS-CoV-2. Moreover, nucleotide (nt) deletion analysis found twelve deletion sites throughout the genome other than previously reported deletions at coding sequence of the ORF8 (open reading frame), spike, and ORF7a proteins, specifically in polyprotein ORF1ab (n = 9), ORF10 (n = 1), and 3´-UTR (n = 2). Evidence from the systematic gene-level mutational and protein profile analyses revealed a large number of amino acid (aa) substitutions (n = 744), demonstrating the viral proteins heterogeneous. Notably, residues of receptor-binding domain (RBD) showing crucial interactions with angiotensin-converting enzyme 2 (ACE2) and cross-reacting neutralizing antibody were found to be conserved among the analyzed virus strains, except for replacement of lysine with arginine at 378th position of the cryptic epitope of a Shanghai isolate, hCoV-19/Shanghai/SH0007/2020 (EPI_ISL_416320). Furthermore, our results of the preliminary epidemiological data on SARS-CoV-2 infections revealed that frequency of aa mutations were relatively higher in the SARS-CoV-2 genome sequences of Europe (43.07%) followed by Asia (38.09%), and North America (29.64%) while case fatality rates remained higher in the European temperate countries, such as Italy, Spain, Netherlands, France, England and Belgium. Thus, the present method of genome annotation employed at this early pandemic stage could be a promising tool for monitoring and tracking the continuously evolving pandemic situation, the associated genetic variants, and their implications for the development of effective control and prophylaxis strategies.
Bőthe B., Tóth-Király I., Popova N., Nagy L., Koós M., Demetrovics Z., Potenza M.N., Kraus S.W., Ballester-Arnal R., Batthyány D., Bergeron S., Billieux J., Briken P., Burkauskas J., Cárdenas-López G., et. al.
2025-03-28 citations by CoLab: 0 Abstract  
AbstractBackground and aimsThe Moral Incongruence Model of Pornography Use proposes that pornography-use-related problems may be present due to problematic pornography use (PPU) and/or moral disapproval (MD) of pornography use. Despite some supporting empirical evidence, no study has tested the presence of different pornography-use profiles based on individuals' behavioral dysregulation (i.e., PPU) and moral values concerning pornography use. The generalizability of previous findings to diverse populations has also been limited given the scarcity of studies conducted outside of Western countries.MethodsUsing data from the International Sex Survey (42 countries, N = 66,994; Mage = 32.16 years, SD = 12.27), we conducted latent profile analysis to identify pornography-use profiles based on individuals' frequency of use, MD, and PPU. The profiles were compared along a wide range of pornography-use-related, sexuality-related, and psychological correlates.ResultsSix pornography-use profiles were identified, including two increased risk groups (i.e., Increased risk of PPU without MD and Increased risk of PPU with some MD). Several factors differentiated between the increased risk vs. no/low risk profiles (e.g., relatedness satisfaction) as well as between the two increased risk profiles (e.g., religiosity). Apart from behavioral dysregulation, moral values concerning pornography use played an important role in distinguishing pornography-use profiles and demonstrated the importance of inquiring about MD when working with individuals with pornography-use-related problems.ConclusionFindings also support recent calls for better-integrated sex therapy and sexual medicine perspectives into pornography-use-related problems research and care.
Gewirtz-Meydan A., Feder H., Nagy L., Koós M., Kraus S.W., Demetrovics Z., Potenza M.N., Ballester-Arnal R., Batthyány D., Bergeron S., Billieux J., Briken P., Burkauskas J., Cárdenas-López G., Carvalho J., et. al.
2025-03-28 citations by CoLab: 0 Abstract  
AbstractBackground and aimsDespite a growing body of research on pornography use among women, there is a lack of understanding of the problematic versus non-problematic nature. The current study aimed to investigate the relationship between women's motivations for pornography use and sexual wellbeing using a cross-sectional, self-report survey design among participants from 42 countries.MethodsThe total sample included 82,243 participants, of whom 46,874 (57.0%) identified as women and were analyzed. The participants' age averaged at M = 29.67 years, with a standard deviation of SD = 10.11. Participants were asked to complete a questionnaire assessing their motivations for pornography use, as well as measures of sexual functioning, sexual desire, and sexual satisfaction.ResultsStudy results suggest that across cultures, women's motivations for pornography use are associated with their sexual wellbeing. Specifically, when women reported using pornography for their own pleasure or sexual curiosity, it was associated with fewer sexual functioning problems and higher sexual desire. Conversely, when women reported using pornography due to a lack of sexual satisfaction in their relationships, it was associated with more sexual functioning problems.Discussion and conclusionsThese findings highlight the need to consider the multifaceted nature of pornography use among women, including the usage motives, to fully understand associations with sexual wellbeing. Additionally, the study emphasizes the importance of conducting further research utilizing longitudinal designs, to establish the directionality between pornography use motivations and sexual wellbeing among women.
Sujan M.S., Sikder M.T., Siddique A.B., Hossain M.J., Hossen I., Saikat E.H., Uddin M.R., Keya S.Y., Paudel K., Gautam K., Ha T., Shrestha R.
2025-03-05 citations by CoLab: 0
Jahan S., Adib M.R., Huda S.M., Rahman M.S., Shamim Kaiser M., Sanwar Hosen A.S., Ghimire D., Park M.J.
IEEE Access scimago Q1 wos Q2 Open Access
2025-03-04 citations by CoLab: 0
Polkampally S., Jain B., Ahmed T., Islam M.T., Bendavid E.
2025-03-04 citations by CoLab: 0
Khatun M.A., Yousuf M.A., Turna T.N., Azad A., Alyami S.A., Moni M.A.
Diagnostics scimago Q2 wos Q1 Open Access
2025-02-22 citations by CoLab: 0 PDF Abstract  
Background: Artificial intelligence (AI)-based automated human activity recognition (HAR) is essential in enhancing assistive technologies for disabled individuals, focusing on fall detection, tracking rehabilitation progress, and analyzing personalized movement patterns. It also significantly manages and grows multiple industries, such as surveillance, sports, and diagnosis. Methods: This paper proposes a novel strategy using a three-stage feature ensemble combining deep learning (DL) and machine learning (ML) for accurate and automatic classification of activity recognition. We develop a unique activity detection approach in this study by enhancing the state-of-the-art convolutional neural network (CNN) and bi-directional long short-term memory (BiLSTM) models with selective ML classifiers and an attention mechanism. Thus, we developed an ensemble activity recognition model, namely “Attention-CNN-BiLSTM with selective ML”. Results: Out of the nine ML models and four DL models, the top performers are selected and combined in three stages for feature extraction. The effectiveness of this three-stage ensemble strategy is evaluated utilizing various performance metrics and through three distinct experiments. Utilizing the publicly available datasets (i.e., the UCI-HAR dataset and WISDM), our approach has shown superior predictive accuracy (98.75% and 99.58%, respectively). When compared with other methods, namely CNN, LSTM, CNN-BiLSTM, and Attention-CNN-BiLSTM, our approach surpasses them in terms of effectiveness, accuracy, and practicability. Conclusions: We hope that this comprehensive activity recognition system may be augmented with an advanced disability monitoring and diagnosis system to facilitate predictive assistance and personalized rehabilitation strategies.
Alam M.J., Ramady A., Abbas M.S., El-Rashidy K., Azam M.T., Miah M.M.
2025-02-19 citations by CoLab: 0 PDF Abstract  
The modeling of the one-dimensional wave equation is the fundamental model for characterizing the behavior of vibrating strings in different physical systems. In this work, we investigate numerical solutions for the one-dimensional wave equation employing both explicit and implicit finite difference schemes. To evaluate the correctness of our numerical schemes, we perform extensive error analysis looking at the L1 norm of error and relative error. We conduct thorough convergence tests as we refine the discretization resolutions to ensure that the solutions converge in the correct order of accuracy to the exact analytical solution. Using the von Neumann approach, the stability of the numerical schemes are carefully investigated so that both explicit and implicit schemes maintain the stability criteria over simulations. We test the accuracy of our numerical schemes and present a few examples. We compare the solution with the well-known spectral and finite element method. We also show theoretical proof of the stability and convergence of our numerical scheme.
Rahaman A., Kulsume U., Alam F.R., Haukka M., Ghosh S., Hogarth G., Nordlander E., Kabir S.E.
Inorganics scimago Q2 wos Q2 Open Access
2025-02-18 citations by CoLab: 0 PDF Abstract  
The reactivity of the benzenedithiolate (bdt)-bridged complex [Fe2(CO)6(µ-bdt)] with arsine, stibine and phosphine ligands has been studied. The new mono- and disubstituted complexes [Fe2(CO)5(EPh3)(µ-bdt)] (E = As, 1; E = Sb 3) and [Fe2(CO)4(EPh3)2(µ-bdt)] (E = As, 2; E = Sb, 4) and the previously reported [Fe2(CO)4(PPh2H)2(µ-bdt)] (5) have been prepared by Me3NO-initiated carbonyl substitution reactions of [Fe2(CO)6(µ-bdt)] with appropriate ligands at 80 °C. Spectroscopic and single-crystal X-ray diffraction studies reveal that in all cases the introduced ligands occupy apical coordination site(s) lying trans to the iron–iron bond. Their electrochemistry has been probed by cyclic voltammetry and selected complexes have been tested as proton reduction catalysts. Monosubstituted complexes 1 and 3 show two irreversible reductions at ca. −1.7 V and −2.0 V, respectively, relative to Fc+/Fc, while the disubstituted complexes 2 and 5 show a single irreversible reduction at ca. −2.2 V and −1.84 V, respectively. Complexes 1, 3 and 5 can catalyse electrocatalytic proton reduction in the presence of either p-toluene sulfonic acid (TsOH) or trifluoroacetic acid (CF3CO2H).
Barket S.-., Karim M.R., Salan M.S.
PLoS ONE scimago Q1 wos Q1 Open Access
2025-02-14 citations by CoLab: 0 PDF Abstract  
Background COVID-19 is a highly transmittable respiratory illness induced by SARS-CoV-2, a novel coronavirus. The spatio-temporal analysis considers interactions between space and time is essential for understanding the virus’s transmission pattern and developing efficient mitigation strategies. Objective This study explicitly examines how meteorological, demographic, and vaccination with all doses of risk factors are interrelated with COVID-19’s complex evolution and dynamics in 64 Bangladeshi districts over space and time. Methods The study employed Bayesian spatio-temporal Poisson modeling to determine the most suitable model, including linear trend, analysis of variance (ANOVA), separable models, and Poisson temporal model for spatiotemporal effects. The study employed the Deviance Information Criterion (DIC) and Watanabe-Akaike information criterion (WAIC) for model selection. The Markov Chain Monte Carlo approach also provided information regarding both prior and posterior realizations. Results The results of our study indicate that the spatio-temporal Poisson ANOVA model outperformed all other models when considering various criteria for model selection and validation. This finding underscores the significant relationship between spatial and temporal variations and the number of cases. Additionally, our analysis reveals that maximum temperature does not appear to have a significant association with infected cases. On the other hand, factors such as humidity (%), population density, urban population, aging index, literacy rate (%), households with internet users (%), and complete vaccination coverage all play vital roles in correlating with the number of affected cases in Bangladesh. Conclusions The research has demonstrated that demographic, meteorological, and vaccination variables possess significant potential to be associated with COVID-19-affected cases in Bangladesh. These data show that there are interconnections between space and time, which shows how important it is to use integrated modeling in pandemic management. An assessment of the risks particular to an area allows government agencies and communities to concentrate their efforts to mitigate those risks.
Masud A., Hosen M.B., Habibullah M., Anannya M., Kaiser M.S.
PLoS ONE scimago Q1 wos Q1 Open Access
2025-02-13 citations by CoLab: 0 PDF Abstract  
Automatically generating image captions poses one of the most challenging applications within artificial intelligence due to its integration of computer vision and natural language processing algorithms. This task becomes notably more formidable when dealing with a language as intricate as Bengali and the overall scarcity of Bengali-captioned image databases. In this investigation, a meticulously human-annotated dataset of Bengali captions has been curated specifically for the encompassing collection of pictures. Simultaneously, an innovative end-to-end architecture has been introduced to craft pertinent image descriptions in the Bengali language, leveraging an attention-driven decoder. Initially, the amalgamation of images’ spatial and temporal attributes is facilitated by Gated Recurrent Units, constituting the input features. These features are subsequently fed into the attention layer alongside embedded caption features. The attention mechanism scrutinizes the interrelation between visual and linguistic representations, encompassing both categories of representations. Later, a comprehensive recursive unit comprising two layers employs the amalgamated attention traits to construct coherent sentences. Utilizing our furnished dataset, this model undergoes training, culminating in achievements of a 43% BLEU-4 score, a 39% METEOR score, and a 47% ROUGE score. Compared to all preceding endeavors in Bengali image captioning, these outcomes signify the pinnacle of current attainable standards.
Mohinuzzaman M., Mowa J., Kabir M.M., Chowdhury M.A., Nesha M., Mostofa K.M., Niloy N.M., Shammi M., Tareq S.M.
Frontiers in Water scimago Q2 wos Q2 Open Access
2025-02-13 citations by CoLab: 0 PDF Abstract  
This study aimed to evaluate the physicochemical properties and the characteristics of the fluorescent dissolved organic matter (FDOM) in the Dhaleshwari River, located in the peripheral Dhaka district, Bangladesh. The Dhaleshwari River was selected as the study area due to the presence of a tannery industrial estate and various industries discharging effluents in the surrounding areas. The socioeconomic and ecological significance of the river is highly critical to the locality. Water samples were collected in the dry season for pH, electrical conductivity (EC), salinity, total dissolved solids (TDS), dissolved oxygen (DO), biochemical oxygen demand (BOD), chemical oxygen demand (COD), and FDOM analyses. The river water quality values were compared to the recommended standards of the Environmental Conservation Rules (ECR), and it was observed that the BOD and COD levels exceeded the limits. The water quality index (WQI) values showed that river water is extremely polluted, and the values significantly increased from the upstream to the Keraniganj BSCIC area. 3DEEM-PARAFAC analysis confirmed the presence of protein-like substances, terrestrial humic and fulvic acids, and degraded fulvic acids in the samples, which provided evidence of organic matter pollution. Relatively higher FDOM levels were found in the upstream area of the river compared to the downstream part. Furthermore, we found that with the increase in the river depth, the FDOM substances decreased due to the absorption of sunlight, microbial degradation, and photosynthesis. It is recommended that industrial estates implement proper wastewater treatment plants, and the Department of Environment (DoE) should take political and legislative actions to establish an adequate water quality monitoring system.
Showly A.Z., Ahsan S.M., Rajib M., Parveen M., Haque M., Ahmed F.T., Rahman M.
2025-01-02 citations by CoLab: 0

Since 1979

Total publications
4212
Total citations
79975
Citations per publication
18.99
Average publications per year
89.62
Average authors per publication
5.91
h-index
101
Metrics description

Top-30

Fields of science

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Condensed Matter Physics, 412, 9.78%
General Medicine, 399, 9.47%
Physical and Theoretical Chemistry, 319, 7.57%
Materials Chemistry, 305, 7.24%
General Chemistry, 209, 4.96%
Inorganic Chemistry, 207, 4.91%
Biochemistry, 189, 4.49%
Public Health, Environmental and Occupational Health, 184, 4.37%
Multidisciplinary, 180, 4.27%
Pollution, 170, 4.04%
Organic Chemistry, 149, 3.54%
General Physics and Astronomy, 146, 3.47%
Environmental Chemistry, 132, 3.13%
Health, Toxicology and Mutagenesis, 121, 2.87%
Atomic and Molecular Physics, and Optics, 112, 2.66%
Environmental Engineering, 112, 2.66%
General Environmental Science, 111, 2.64%
General Chemical Engineering, 109, 2.59%
Electronic, Optical and Magnetic Materials, 105, 2.49%
Psychiatry and Mental health, 104, 2.47%
General Materials Science, 103, 2.45%
Water Science and Technology, 102, 2.42%
Infectious Diseases, 91, 2.16%
Waste Management and Disposal, 89, 2.11%
General Engineering, 88, 2.09%
Geography, Planning and Development, 87, 2.07%
Molecular Biology, 83, 1.97%
Computer Science Applications, 82, 1.95%
Electrical and Electronic Engineering, 77, 1.83%
Management, Monitoring, Policy and Law, 77, 1.83%
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United Kingdom, 535, 12.7%
USA, 504, 11.97%
Japan, 354, 8.4%
Australia, 341, 8.1%
Saudi Arabia, 292, 6.93%
Malaysia, 244, 5.79%
India, 229, 5.44%
China, 220, 5.22%
Germany, 215, 5.1%
Canada, 117, 2.78%
Pakistan, 107, 2.54%
Italy, 94, 2.23%
Republic of Korea, 93, 2.21%
Sweden, 84, 1.99%
Vietnam, 82, 1.95%
Egypt, 61, 1.45%
Iran, 60, 1.42%
Indonesia, 46, 1.09%
Mexico, 45, 1.07%
Iraq, 43, 1.02%
Brazil, 40, 0.95%
Belgium, 36, 0.85%
South Africa, 36, 0.85%
Spain, 35, 0.83%
Thailand, 35, 0.83%
New Zealand, 33, 0.78%
France, 31, 0.74%
UAE, 30, 0.71%
Poland, 29, 0.69%
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  • We do not take into account publications without a DOI.
  • Statistics recalculated daily.
  • Publications published earlier than 1979 are ignored in the statistics.
  • The horizontal charts show the 30 top positions.
  • Journals quartiles values are relevant at the moment.