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  1. Article ; Online: Molecular identification, antimicrobial resistance and virulence gene profiling of

    Fazal, Md Abul / Rana, Eaftekhar Ahmed / Akter, Sazeda / Alim, Mohammad Abdul / Barua, Himel / Ahad, Abdul

    Veterinary and animal science

    2023  Volume 21, Page(s) 100297

    Abstract: This study was conducted to investigate the diversity and antimicrobial resistance profiling ... ...

    Abstract This study was conducted to investigate the diversity and antimicrobial resistance profiling of
    Language English
    Publishing date 2023-05-24
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2451-943X
    ISSN (online) 2451-943X
    DOI 10.1016/j.vas.2023.100297
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: Potential methane emission reduction strategies from rice cultivation systems in Bangladesh: A critical synthesis with global meta-data.

    Saha, Milton Kumar / Mia, Shamim / Abdul Ahad Biswas, Akm / Sattar, Md Abdus / Kader, Md Abdul / Jiang, Zhixiang

    Journal of environmental management

    2022  Volume 310, Page(s) 114755

    Abstract: ... Methane ( ... ...

    Abstract Methane (CH
    MeSH term(s) Agriculture/methods ; Bangladesh ; Methane/analysis ; Nitrous Oxide/analysis ; Oryza ; Seasons ; Soil
    Chemical Substances Soil ; Nitrous Oxide (K50XQU1029) ; Methane (OP0UW79H66)
    Language English
    Publishing date 2022-02-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2022.114755
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Maltreatment of child labourers in Bangladesh: Prevalence and characteristics of perpetrators.

    Ahad, Md Abdul / Parry, Yvonne Karen / Willis, Eileen / Ullah, Shahid / Ankers, Matthew

    Heliyon

    2023  Volume 9, Issue 9, Page(s) e19031

    Abstract: Background: Child labourers are highly prone to maltreatment mostly perpetrated by members of their immediate family as well as employers and co-workers. This maltreatment is considered to be a serious public health issue. However, little is known about ...

    Abstract Background: Child labourers are highly prone to maltreatment mostly perpetrated by members of their immediate family as well as employers and co-workers. This maltreatment is considered to be a serious public health issue. However, little is known about this form of violence.
    Purpose: This study aimed to explore the views of key informants on the prevalence and attributes of perpetrators of the maltreatment of child labourers in Bangladesh.
    Methods: The key experts were paediatricians, journalists, academics, and government bureaucrats such as policy makers and Non-Government Organisation employees working in the area of child abuse or labour relations. Interviews were purposefully conducted via TEAMS with 17 expert participants. A thematic analysis using NVivo was used to analyse the data.
    Results: The key informants were of the opinion that the prevalence of the maltreatment of child labourers was unknown. However, they were of the view that physical maltreatment of child labourers occurred between 70% and 100% of the time, while emotional abuse and neglect was estimated to be 100% followed by 50% for financial exploitation. Child maltreatment is more likely to occur in informal workplace environments. Biological and foster parents were considered the primary perpetrators, while employers and adult co-workers were considered secondary perpetrators. Perpetrators of child labour maltreatment were often characterized as having a history of childhood maltreatment themselves, a lack of knowledge of social awareness and parenting, and suffer from economic difficulties.
    Conclusion: The finding also calls into question the validity of key informant interviewing. Only the journalists, academics and medical experts had first-hand knowledge of the maltreatment of child labourers with experts in the NGO sector and government policy makers lacking detailed knowledge of the field.
    Language English
    Publishing date 2023-09-09
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e19031
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article: Spillover Trends of Child Labor During the Coronavirus Crisis- an Unnoticed Wake-Up Call.

    Ahad, Md Abdul / Parry, Yvonne K / Willis, Eileen

    Frontiers in public health

    2020  Volume 8, Page(s) 488

    MeSH term(s) COVID-19/epidemiology ; Child ; Child Labor/statistics & numerical data ; Humans
    Keywords covid19
    Language English
    Publishing date 2020-09-04
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2711781-9
    ISSN 2296-2565
    ISSN 2296-2565
    DOI 10.3389/fpubh.2020.00488
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: The prevalence and impact of maltreatment of child laborers in the context of four South Asian countries: A scoping review.

    Ahad, Md Abdul / Parry, Yvonne K / Willis, Eileen

    Child abuse & neglect

    2021  Volume 117, Page(s) 105052

    Abstract: Background: Child maltreatment is a global health concern, which adversely affects millions of children. Among them, child laborers are highly susceptible to maltreatment due to their economic vulnerability and workplace practices.: Objectives: This ... ...

    Abstract Background: Child maltreatment is a global health concern, which adversely affects millions of children. Among them, child laborers are highly susceptible to maltreatment due to their economic vulnerability and workplace practices.
    Objectives: This review seeks to identify the extent, risk factors and psychological impairments associated with the maltreatment of child laborers in four South East Asian countries.
    Methods: A scoping review was adopted, in accordance with the PRISMA framework. Scopus, Medline, PsycINFO, ProQuest, Web of Sciences, and grey literature from relevant institutional websites were searched. Search date parameters were 1960-2020. A thematic synthesis and a proportion test were adopted to analyse data.
    Results: A total of 9 studies were retrieved. The physical maltreatment against child laborers (15.14 %) was found across all studies with high heterogeneity (from 2.3%-73.27%). The prevalence of emotional maltreatment was more than three times that of physical abuse. Sexual abuse rate was measured (16.82 %) followed by neglect against child laborers (12.9 %). Witness victimization, financial exploitation, forced work, and work intensification were also observed as notable forms of maltreatment. A thematic analysis suggests that the victims and caregivers' characteristics and socio-cultural practices are strong predictors of maltreatment. Parental dysfunctions were also associated with rates of child labor victimization followed by poverty. The review found maltreated children were often traumatized and manifest specific phobias (38.79 %), social phobias (30.2 %), conduct disorders (20.6 %), and obsessions (18.21 %), which are significantly associated (p < 0.05) across studies.
    Conclusions: While the methodical study base is limited, the results of this review can inform further research on violence against child laborers.
    MeSH term(s) Caregivers ; Child ; Child Abuse ; Crime Victims ; Humans ; Physical Abuse ; Prevalence
    Language English
    Publishing date 2021-04-05
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't ; Review ; Systematic Review
    ZDB-ID 799143-5
    ISSN 1873-7757 ; 0145-2134
    ISSN (online) 1873-7757
    ISSN 0145-2134
    DOI 10.1016/j.chiabu.2021.105052
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: DeepCrop

    Md. Manowarul Islam / Md Abdul Ahad Adil / Md. Alamin Talukder / Md. Khabir Uddin Ahamed / Md Ashraf Uddin / Md. Kamran Hasan / Selina Sharmin / Md. Mahbubur Rahman / Sumon Kumar Debnath

    Journal of Agriculture and Food Research, Vol 14, Iss , Pp 100764- (2023)

    Deep learning-based crop disease prediction with web application

    2023  

    Abstract: Agriculture plays a significant role in every nation's economy by producing crops. Plant disease identification is one of the most important aspects of maintaining an agriculturally developed nation. The timely and efficient detection of plant diseases ... ...

    Abstract Agriculture plays a significant role in every nation's economy by producing crops. Plant disease identification is one of the most important aspects of maintaining an agriculturally developed nation. The timely and efficient detection of plant diseases is essential for a healthy and productive agricultural sector and to prevent wasting money and other resources. Various diseases that could affect a plant cause crop farmers to lose a substantial sum yearly. Deep learning can play a crucial role in helping farmers prevent crop failure by early disease detection in plant leaves. In the experiment, we examined CNN, VGG-16, VGG-19 and ResNet-50 models on plant-village 10000 image dataset to detect crop infection and got the accuracy rate of 98.60%, 92.39%, 96.15%, and 98.98% for CNN, VGG-16, VGG-19 and ResNet-50 respectively. The study indicates that ResNet-50 outperforms the other models with an accuracy of 98.98%. So, the ResNet50 model was chosen to be developed into a smart web application for real-life crop disease prediction. The proposed web application aims to assist farmers in identifying diseases of plants by analyzing photos of the plant leaves. The proposed application uses the ResNet50 transfer learning model at its heart to distinguish healthy and infected leaves and classify the present disease type. The goal is to help farmers save resources and prevent economic loss by detecting plant diseases early and applying the appropriate treatment.
    Keywords Agriculture ; Plant ; Disease ; Farmers ; Crop ; Transfer Learning ; Agriculture (General) ; S1-972 ; Nutrition. Foods and food supply ; TX341-641
    Subject code 580
    Language English
    Publishing date 2023-12-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  7. Article ; Online: Spillover Trends of Child Labor During the Coronavirus Crisis- an Unnoticed Wake-Up Call

    Md. Abdul Ahad / Yvonne K. Parry / Eileen Willis

    Frontiers in Public Health, Vol

    2020  Volume 8

    Keywords child labor ; Coronavirus ; unemployment ; poverty ; school ; Public aspects of medicine ; RA1-1270
    Language English
    Publishing date 2020-09-01T00:00:00Z
    Publisher Frontiers Media S.A.
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Synthesis and optical properties of WS

    Rahman, Md Ashiqur / Yomogida, Yohei / Ahad, Abdul / Ueji, Kan / Nagano, Mai / Ihara, Akane / Nishidome, Hiroyuki / Omoto, Mikito / Saito, Shigeki / Miyata, Yasumitsu / Gao, Yanlin / Okada, Susumu / Yanagi, Kazuhiro

    Scientific reports

    2023  Volume 13, Issue 1, Page(s) 16959

    Abstract: Tungsten disulfide ( ... ...

    Abstract Tungsten disulfide (WS
    Language English
    Publishing date 2023-10-08
    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/s41598-023-44072-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: A Deterministic Model for Determining Degree of Friendship Based on Mutual Likings and Recommendations on OTT Platforms.

    Khalique, Aqeel / Rahmani, Mohammad Khalid Imam / Saquib, Mohd / Hussain, Imran / Muzaffar, Abdul Wahab / Ahad, Mohd Abdul / Nafis, Md Tabrez / Ahmad, Mohd Wazih

    Computational intelligence and neuroscience

    2022  Volume 2022, Page(s) 9576468

    Abstract: In recent years, the application of various recommendation algorithms on over-the-top (OTT) platforms such as Amazon Prime and Netflix has been explored, but the existing recommendation systems are less effective because either they fail to take an ... ...

    Abstract In recent years, the application of various recommendation algorithms on over-the-top (OTT) platforms such as Amazon Prime and Netflix has been explored, but the existing recommendation systems are less effective because either they fail to take an advantage of exploiting the inherent user relationship or they are not capable of precisely defining the user relationship. On such platforms, users generally express their preferences for movies and TV shows and also give ratings to them. For a recommendation system to be effective, it is important to establish an accurate and precise relationship between the users. Hence, there is a scope of research for effective recommendation systems that can define a relationship between users and then use the relationship to enhance the user experiences. In this research article, we have presented a hybrid recommendation system that determines the degree of friendship among the viewers based on mutual liking and recommendations on OTT platforms. The proposed enhanced model is an effective recommendation model for determining the degree of friendship among viewers with improved user experience.
    MeSH term(s) Algorithms ; Friends ; Humans ; Motion Pictures
    Language English
    Publishing date 2022-06-30
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2388208-6
    ISSN 1687-5273 ; 1687-5273
    ISSN (online) 1687-5273
    ISSN 1687-5273
    DOI 10.1155/2022/9576468
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Potential methane emission reduction strategies from rice cultivation systems in Bangladesh: A critical synthesis with global meta-data

    Saha, Milton Kumar / Mia, Shamim / Abdul Ahad Biswas, AKM / Sattar, Md Abdus / Kader, Md. Abdul / Jiang, Zhixiang

    Journal of environmental management. 2022 May 15, v. 310

    2022  

    Abstract: Methane (CH₄) is one of the dominant greenhouse gases (GHG) that is largely emitted from rice fields and thus, significantly contributes to global warming. Significant efforts have been made to find out suitable strategies to mitigate CH₄ emission from ... ...

    Abstract Methane (CH₄) is one of the dominant greenhouse gases (GHG) that is largely emitted from rice fields and thus, significantly contributes to global warming. Significant efforts have been made to find out suitable strategies to mitigate CH₄ emission from rice culture. However, the effectiveness of these management practices is often diverse with negative, no, or positive impacts making it difficult to adopt under a particular condition. The diversity of rice cultivation in terms of agro-climatic conditions and cultivation practices makes it difficult for providing specific recommendations. Here, we collected data from a total of 198 studies reporting 1052 observations. The management practices are categorized into five different management practices i.e., water, organic and inorganic fertilizer management, crop establishment method, and agronomic practices while major categories were subdivided into different classes. To test statistically significant differences in the effectiveness between major management practices, an analysis of variance (ANOVA) was applied. The Gaussian and bootstrapping model were applied to find out the best estimate of the effectiveness of each practice. In addition, mechanisms controlling the CH₄ emission reductions were synthesized. Next, the adoption potentials of these practices were assessed based on the existing rice cultivation systems in Bangladesh. Our results showed that water and organic matter management were the most effective methods irrespective of the growing conditions. When these technologies are customized to Bangladesh, water management and crop establishment methods seem most feasible. Among the rice-growing seasons in Bangladesh, there is a larger scope to adopt these management practices in the Boro season (December to May), while these scopes are minimal in the other two seasons due to their rain-fed nature of cultivation. Altogether, our study provides fundamental insights on CH₄ reductions strategies from rice fields in Bangladesh.
    Keywords analysis of variance ; environmental management ; greenhouses ; metadata ; methane ; methane production ; mineral fertilizers ; models ; organic matter ; plant establishment ; rice ; water management ; Bangladesh
    Language English
    Dates of publication 2022-0515
    Publishing place Elsevier Ltd
    Document type Article
    ZDB-ID 184882-3
    ISSN 1095-8630 ; 0301-4797
    ISSN (online) 1095-8630
    ISSN 0301-4797
    DOI 10.1016/j.jenvman.2022.114755
    Database NAL-Catalogue (AGRICOLA)

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