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Article ; Online: Understanding the impact of socioeconomic and health factors on geriatric depression: A comparative study in rural and urban Bangladesh.

Hossain, Mohammad Kamal / Islam, Md Nazrul / Uddin, Mohammed Taj / Hossain, Md Sabbir

Health science reports

2024 Volume 7, Issue 2, Page(s) e1849

Abstract: Background and aims: The prevalence of depression among the elderly is a growing concern, and this study examines the differences between urban and rural areas in terms of geriatric depression.: Methods: Using a two-stage random sampling approach in ... ...

Abstract	Background and aims: The prevalence of depression among the elderly is a growing concern, and this study examines the differences between urban and rural areas in terms of geriatric depression. Methods: Using a two-stage random sampling approach in urban areas and a multistage random sampling approach in rural areas, the study surveyed 944 elderly individuals of both sexes. Results: The results indicate that the prevalence of depression was high, with 52.5% of the elderly population experiencing mild to severe depression. The study found that increasing age, female gender, nuclear family structure, and involvement of housewives or others were significant factors affecting depression in urban areas, while increasing age and elderly people without spouses were significant factors in rural areas. Additionally, the study identified hearing impairment, asthma, and arthritis as risk factors for depression in rural areas, and bronchitis, heart disease, and thyroid illness as significant factors in urban areas. Conclusion: These findings highlight the need for policymakers to focus on addressing the mental health needs of older people, particularly women and those without spouses.
Language	English
Publishing date	2024-01-30
Publishing country	United States
Document type	Journal Article
ISSN	2398-8835
ISSN (online)	2398-8835
DOI	10.1002/hsr2.1849
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Article ; Online: Impact of climate change on dengue incidence in Singapore: time-series seasonal analysis.

Islam, Md Tauhedul / Kamal, A S M Maksud / Islam, Md Momin / Hossain, Sorif

International journal of environmental health research

2024 , Page(s) 1–11

Abstract: This study aimed to identify the meteorological factors that contribute to dengue epidemics. The monthly incidence of dengue was used as the outcome variable, while maximum temperature, humidity, precipitation, and sunshine hours were used as independent ...

Abstract	This study aimed to identify the meteorological factors that contribute to dengue epidemics. The monthly incidence of dengue was used as the outcome variable, while maximum temperature, humidity, precipitation, and sunshine hours were used as independent variables. The results showed a consistent increase in monthly dengue cases from 2013 to 2021, with seasonal patterns observed in stationary time-series data. The ARIMA (2, 1, 3) × seasonal (0, 1, 2)
Language	English
Publishing date	2024-04-16
Publishing country	England
Document type	Journal Article
ZDB-ID	1104887-6
ISSN	1369-1619 ; 0960-3123
ISSN (online)	1369-1619
ISSN	0960-3123
DOI	10.1080/09603123.2024.2337827
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Article ; Online: Asymmetric role of green energy, innovation, and technology in mitigating greenhouse gas emissions: evidence from India.

Haseeb, Mohammad / Kayani, Umar / Shuaib, Mohd / Hossain, Md Emran / Kamal, Mustafa / Khan, Mohammad Faisal

Environmental science and pollution research international

2024 Volume 31, Issue 15, Page(s) 23146–23161

Abstract: The primary cause of environmental degradation, which poses a danger to the long-term viability of the ecosystem, is the emission of greenhouse gases (GHG). For this reason, the Glasgow Climate Pact (COP26) established a decarbonization goal in response ... ...

Abstract	The primary cause of environmental degradation, which poses a danger to the long-term viability of the ecosystem, is the emission of greenhouse gases (GHG). For this reason, the Glasgow Climate Pact (COP26) established a decarbonization goal in response to this ecological concern, for which all economic players have a responsibility. India is among the participants who have a target set for them to decarbonize their economies by the year 2060 via the use of green energy and the advancement of science and innovation. Nevertheless, the asymmetrical effect of green energy, technology, and innovation on India's decarbonization program was not sufficiently explored in the prior study; hence, this research aims to fill this literature vacuum by considering India's GHG emissions from 1990 to 2020 by leveraging the non-linear autoregressive distributed lag (NARDL) model. The findings reveal the asymmetric influences of variables of interest on GHG emissions during the short and long term and under positive and negative shocks. Regarding the positive shock, long-term findings demonstrate that innovation and technical know-how grow GHG emissions and accelerate environmental degradation. However, a negative shock in innovations and technological know-how is opposed to a positive shock and improving environmental conditions. Further, positive shocks in green energy boost environmental effectiveness by reducing GHG secretions in India. In contrast, the negative shock in green energy deteriorates the environment by triggering GHG releases. These factual findings compel the Indian government to prioritize green technologies in addition to green energy generation to decouple economic growth from greenhouse gas emissions and meet rising energy demands.
MeSH term(s)	Humans ; Greenhouse Gases/analysis ; Ecosystem ; Carbon Dioxide/analysis ; Economic Development ; India ; Technology ; Renewable Energy
Chemical Substances	Greenhouse Gases ; Carbon Dioxide (142M471B3J)
Language	English
Publishing date	2024-02-28
Publishing country	Germany
Document type	Journal Article
ZDB-ID	1178791-0
ISSN	1614-7499 ; 0944-1344
ISSN (online)	1614-7499
ISSN	0944-1344
DOI	10.1007/s11356-024-32582-w
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Article ; Online: Role of metal and anions in organo-metal halide perovskites CH

Nishat, Maliha / Hossain, Md Kamal / Hossain, Md Rakib / Khanom, Shamima / Ahmed, Farid / Hossain, Md Abul

RSC advances

2022 Volume 12, Issue 21, Page(s) 13281–13294

Abstract: Methylammonium metal halide perovskites have recently been explored for new uses due to their unique and exciting optoelectronic properties. Their exceptional electronic properties have often been attributed to the overlap between the metal cation s and ... ...

Abstract	Methylammonium metal halide perovskites have recently been explored for new uses due to their unique and exciting optoelectronic properties. Their exceptional electronic properties have often been attributed to the overlap between the metal cation s and halogen p states. In this study, density functional theory calculations have been carried out based on the orthorhombic phase of the organometal trihalide perovskite CH
Language	English
Publishing date	2022-05-03
Publishing country	England
Document type	Journal Article
ISSN	2046-2069
ISSN (online)	2046-2069
DOI	10.1039/d1ra08561a
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Article ; Online: Interaction of Anagrelide drug molecule on pristine and doped boron nitride nanocages: a DFT, RDG, PCM and QTAIM investigation.

Nishat, Maliha / Hossain, Md Rakib / Hasan, Md Mehade / Hossain, Md Kamal / Hossain, Md Abul / Ahmed, Farid

Journal of biomolecular structure & dynamics

2022 Volume 41, Issue 8, Page(s) 3413–3429

Abstract: Nowadays, a nanostructure-based drug delivery system is one of the most noticeable topics to be studied, and in this regard, boron nitride nanoclusters are promising drug carriers for targeted drug delivery systems. In this article, the interaction ... ...

Abstract	Nowadays, a nanostructure-based drug delivery system is one of the most noticeable topics to be studied, and in this regard, boron nitride nanoclusters are promising drug carriers for targeted drug delivery systems. In this article, the interaction mechanism of Anagrelide (AG) drug with B12N12 and Al- and Ga-doped B12N12 nanocages have been investigated using DFT with B3LYP/6-31 G (d, p) method in both gas and water media. All our studied complexes are thermodynamically stable, and doped nanocage complexes have higher negative adsorption energy (E
MeSH term(s)	Quinazolines/administration & dosage ; Quinazolines/chemistry ; Boron Compounds/chemistry ; Nanostructures/chemistry ; Drug Carriers/chemistry ; Adsorption ; Density Functional Theory ; Quantum Theory
Chemical Substances	anagrelide (K9X45X0051) ; boron nitride (2U4T60A6YD) ; Quinazolines ; Boron Compounds ; Drug Carriers
Language	English
Publishing date	2022-03-11
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	49157-3
ISSN	1538-0254 ; 0739-1102
ISSN (online)	1538-0254
ISSN	0739-1102
DOI	10.1080/07391102.2022.2049369
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Zs.A 2093: Show issues

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Article: Introgression of the QTL

Hossain, Md Kamal / Islam, Mohammad Rafiqul / Sundaram, Raman Meenakshi / Bhuiyan, Md Atiqur Rahman / Wickneswari, Ratnam

Frontiers in plant science

2023 Volume 13, Page(s) 981345

Abstract: Introduction: Sheath blight (SB) is the most damaging fungal disease in rice caused by a soil-borne pathogenic fungus, : Methods: In our study, we developed 290 BC1F1 backcross progenies from a cross between UKMRC2 and Tetep to introgress the QTL : ...

Abstract	Introduction: Sheath blight (SB) is the most damaging fungal disease in rice caused by a soil-borne pathogenic fungus, Methods: In our study, we developed 290 BC1F1 backcross progenies from a cross between UKMRC2 and Tetep to introgress the QTL Results and discussion: The QTL
Language	English
Publishing date	2023-01-09
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2613694-6
ISSN	1664-462X
ISSN	1664-462X
DOI	10.3389/fpls.2022.981345
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Article ; Online: Attention-assisted hybrid 1D CNN-BiLSTM model for predicting electric field induced by transcranial magnetic stimulation coil.

Sathi, Khaleda Akhter / Hosain, Md Kamal / Hossain, Md Azad / Kouzani, Abbas Z

Scientific reports

2023 Volume 13, Issue 1, Page(s) 2494

Abstract: Deep learning-based models such as deep neural network (DNN) and convolutional neural network (CNN) have recently been established as state-of-the-art for enumerating electric fields from transcranial magnetic stimulation coil. One of the main challenges ...

Abstract	Deep learning-based models such as deep neural network (DNN) and convolutional neural network (CNN) have recently been established as state-of-the-art for enumerating electric fields from transcranial magnetic stimulation coil. One of the main challenges related to this electric field enumeration is the prediction time and accuracy. Despite the low computational cost, the performance of the existing prediction models for electric field enumeration is quite inefficient. This study proposes a 1D CNN-based bi-directional long short-term memory (BiLSTM) model with an attention mechanism to predict electric field induced by a transcranial magnetic stimulation coil. The model employs three consecutive 1D CNN layers followed by the BiLSTM layer for extracting deep features. After that, the weights of the deep features are redistributed and integrated by the attention mechanism and a fully connected layer is utilized for the prediction. For the prediction purpose, six input features including coil turns of single wing, coil thickness, coil diameter, distance between two wings, distance between head and coil position, and angle between two wings of coil are mapped with the output of the electric field. The performance evaluation is conducted based on four verification metrics (e.g. R2, MSE, MAE, and RMSE) between the simulated data and predicted data. The results indicate that the proposed model outperforms existing DNN and CNN models in predicting the induced electrical field with R2 = 0.9992, MSE = 0.0005, MAE = 0.0188, and RMSE = 0.0228 in the testing stage.
MeSH term(s)	Transcranial Magnetic Stimulation/methods ; Neural Networks, Computer ; Memory, Long-Term
Language	English
Publishing date	2023-02-13
Publishing country	England
Document type	Journal Article
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-29695-6
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Article ; Online: WITHDRAWN: Trace metals translocation from soil to plants: Health risk assessment via consumption of vegetables in the urban sprawl of a developing country.

Haque, Km Shamsul / Islam, Md Saiful / Ahmed, Sujat / Rahman, Md Zillur / Hemy, Debolina Halder / Islam, Md Towhidul / Hossain, Md Kamal / Uddin, Md Rafiq / Md Towfiqul Islam, Abu Reza / Mia, Md Yousuf / Ismail, Zulhilmi / Al Bakky, Abdullah / Ibrahim, Khalid A / Idris, Abubakr M

Food and chemical toxicology : an international journal published for the British Industrial Biological Research Association

2024 , Page(s) 114580

Abstract: This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/policies/article- ... ...

Abstract	This article has been withdrawn at the request of the author(s) and/or editor. The Publisher apologizes for any inconvenience this may cause. The full Elsevier Policy on Article Withdrawal can be found at https://www.elsevier.com/about/policies/article-withdrawal.
Language	English
Publishing date	2024-03-11
Publishing country	England
Document type	Retraction of Publication
ZDB-ID	782617-5
ISSN	1873-6351 ; 0278-6915
ISSN (online)	1873-6351
ISSN	0278-6915
DOI	10.1016/j.fct.2024.114580
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Article: Analysis of Induced Field in the Brain Tissue by Transcranial Magnetic Stimulation Using Halo-V Assembly Coil.

Sathi, Khaleda Akhter / Hosain, Md Kamal / Hossain, Md Azad

Neurology research international

2022 Volume 2022, Page(s) 7424564

Abstract: As a noninvasive neuromodulation technique, transcranial magnetic stimulation (TMS) has already exhibited a great impact in clinical application and scientific research. This study presents a finite element method-based simulation of the Halo-V assembly ( ...

Abstract	As a noninvasive neuromodulation technique, transcranial magnetic stimulation (TMS) has already exhibited a great impact in clinical application and scientific research. This study presents a finite element method-based simulation of the Halo-V assembly (HVA) coil placed on the five-shell spherical human head model to examine the distributions of induced electric and magnetic fields. The performance of the designed HVA coil is evaluated by comparing the simulation results with the commercially available Halo-FO8 (HFA) assembly coil and standard single coils including the Halo and V coils. The simulation results indicate that the HVA coil shows an improved focality in terms of electric field distribution than the other single and assembly stimulation coils. Additionally, the effects of a magnetic shield plate and magnetic core on the designed HVA coil are investigated. Results indicate that the magnetic shield plate and magnetic core are proficient in further improving the stimulation focality. Therefore, the HVA TMS coil results in a safe and effective stimulation with enhanced focality of the target region as compared to the existing assembly coil.
Language	English
Publishing date	2022-07-14
Publishing country	United States
Document type	Journal Article
ZDB-ID	2588263-6
ISSN	2090-1860 ; 2090-1852
ISSN (online)	2090-1860
ISSN	2090-1852
DOI	10.1155/2022/7424564
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Article: Appraisal and validation of a method used for detecting heavy metals in poultry feed in Bangladesh.

Hossain, Md Mosharaf / Hannan, Abu Sayeed Md Abdul / Kamal, Md Mostofa / Hossain, Mohammad Abul / Quraishi, Shamshad B

Veterinary world

2022 Volume 15, Issue 9, Page(s) 2217–2223

Abstract: Background and aim: Low concentrations of heavy metals are toxic and pose a serious threat to human health and the environment. Therefore, regular assessments of the toxic metal content in poultry feed are crucial for evaluating feed quality and ... ...

Abstract	Background and aim: Low concentrations of heavy metals are toxic and pose a serious threat to human health and the environment. Therefore, regular assessments of the toxic metal content in poultry feed are crucial for evaluating feed quality and customer safety. It is difficult to determine the heavy metals in the poultry feed at the trace amount. Therefore, this study aimed to validate this method through the detection of three heavy metals, chromium (Cr), cadmium (Cd), and lead (Pb), in poultry feed samples. Materials and methods: Graphite furnace atomic absorption spectrometry (GF-AAS) method was used to analyze the heavy metals in poultry feed according to the guidelines given by the Council Directive 333/2007/EC, Commission Decision 657/2002/EC. In this study, various parameters such as linearity check, limit of detection (LOD), limit of quantification (LOQ), recovery percentage, precision checks, repeatability, reproducibility, and uncertainty measurement were considered to validate and assess the method following international guidelines. Heavy metals, such as Pb, Cr, and Cd, were analyzed from the feed samples in the laboratory using the GF-AAS method (Model: AA-7000 Shimadzu, Japan) with high purity argon as the inert gas, and the absorbance was read at wavelengths of 283.0, 357.9, and 228.8 nm, respectively. Results: The coefficient of variation (CV%) for system suitability and precision data was <10% for all the metals (Pb, Cr, and Cd) detected in this study. The overall CV% of repeatability and reproducibility ranged from 8.70% to 8.76% and 8.65% to 9.96%, respectively. The linearity of the calibration curves was excellent (r Conclusion: The results show that these study criteria or parameters have met the validated or acceptable range. Therefore, it is a reliable technique that can be used undoubtedly for the routine analysis of heavy metals in poultry feed samples across the globe.
Language	English
Publishing date	2022-09-17
Publishing country	India
Document type	Journal Article
ZDB-ID	2456277-4
ISSN	2231-0916 ; 0972-8988
ISSN (online)	2231-0916
ISSN	0972-8988
DOI	10.14202/vetworld.2022.2217-2223
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