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  1. Article ; Online: Should Bangladeshi Muslims rethink their typical Ramadan Iftar menu in 2021? A COVID-19 perspective.

    Jubayer, M F / Kayshar, M S

    Public health

    2021  Volume 198, Page(s) e14

    MeSH term(s) COVID-19 ; Fasting ; Humans ; Hypoglycemic Agents ; Islam ; SARS-CoV-2
    Chemical Substances Hypoglycemic Agents
    Language English
    Publishing date 2021-06-17
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 427333-3
    ISSN 1476-5616 ; 0033-3506
    ISSN (online) 1476-5616
    ISSN 0033-3506
    DOI 10.1016/j.puhe.2021.05.011
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

    Zs.B 540: Show issues Location:
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    ab Jg. 2022: Lesesaal (EG)
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  2. Article: Sonication results in variable quality and enhanced sensory attributes of Adajamir (

    Ahmad, Hasan / Islam, Tariqul / Islam, Zohurul / Jubayer, Fahad / Rana, Rahmatuzzaman

    Heliyon

    2023  Volume 9, Issue 12, Page(s) e23074

    Abstract: ... Citrus ... ...

    Abstract Citrus assamensis
    Language English
    Publishing date 2023-11-29
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e23074
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: First COVID-19 case in the Rohingya camp in Bangladesh: needs proper attention.

    Jubayer, F / Kayshar, S / Limon, T I

    Public health

    2020  Volume 191, Page(s) 20

    Language English
    Publishing date 2020-05-25
    Publishing country Netherlands
    Document type Letter
    ZDB-ID 427333-3
    ISSN 1476-5616 ; 0033-3506
    ISSN (online) 1476-5616
    ISSN 0033-3506
    DOI 10.1016/j.puhe.2020.05.033
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Cologne/Königswinter

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  4. Article: Nutritional health of the Rohingya refugees in Bangladesh: Conceptualizing a multilevel action framework focusing the COVID-19.

    Jubayer, Fahad / Kayshar, Shahidullah / Arifin, Shoaib / Parven, Aney / Khan, Sirajul Islam / Meftaul, Islam Md

    Nutrition and health

    2023  Volume 30, Issue 1, Page(s) 21–25

    Abstract: The Rohingya refugees are among the most vulnerable victims of COVID-19 pandemic in Bangladesh. In refugee camps, they frequently lack access to safe and nutritious foods, drinking water, and a healthy environment. Despite the fact that numerous national ...

    Abstract The Rohingya refugees are among the most vulnerable victims of COVID-19 pandemic in Bangladesh. In refugee camps, they frequently lack access to safe and nutritious foods, drinking water, and a healthy environment. Despite the fact that numerous national and international organizations are sincerely collaborating to meet their nutritional and medical needs, the pace of work has slowed due to COVID-19. Combating COVID-19 demands a robust immune system, which relies heavily on a nutritious diet. The development of strong immunity to protect Rohingya refugees, particularly children and women, through the provision of nutrient-dense foods is thus highly necessary. Consequently, the current commentary focused on the nutritional health status of Rohingya refugees in Bangladesh during COVID-19. In addition, we provided a multilevel implementation framework that could assist stakeholders and policymakers in taking effective measures to recover their nutritional health.
    MeSH term(s) Child ; Humans ; Female ; COVID-19/epidemiology ; COVID-19/prevention & control ; Refugees ; Bangladesh/epidemiology ; Pandemics/prevention & control ; Refugee Camps
    Language English
    Publishing date 2023-04-11
    Publishing country England
    Document type Journal Article
    ZDB-ID 603215-1
    ISSN 2047-945X ; 0260-1060
    ISSN (online) 2047-945X
    ISSN 0260-1060
    DOI 10.1177/02601060231169372
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Risks of cancer in the Rohingya community of Bangladesh: An issue still remains unaddressed.

    Jubayer, Fahad / Kayshar, Shahidullah / Limon, Tariqul Islam

    Public health in practice (Oxford, England)

    2020  Volume 1, Page(s) 100040

    Language English
    Publishing date 2020-09-15
    Publishing country England
    Document type Journal Article
    ISSN 2666-5352
    ISSN (online) 2666-5352
    DOI 10.1016/j.puhip.2020.100040
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Effects of Ajwa date seed powder on serum lipids in humans: A randomized, double-blind, placebo-controlled clinical trial

    Jubayer, Fahad / Kayshar, Shahidullah / Rahaman, Mostafizur

    Journal of herbal medicine. 2020 Dec., v. 24

    2020  

    Abstract: Hyperlipidemia is one of the common risk factors of cardiovascular disease. The effects of Ajwa date seed powder on serum lipid profile in human beings in this randomized, double-blind, placebo-controlled clinical study were evaluated. ... ...

    Abstract Hyperlipidemia is one of the common risk factors of cardiovascular disease. The effects of Ajwa date seed powder on serum lipid profile in human beings in this randomized, double-blind, placebo-controlled clinical study were evaluated. Hypercholesterolemic patients were instructed to take the Ajwa date seed powder (200 mg of seed powder filled in each capsule) three times daily after a meal for 90 days as a form of treatment once distributing them to intervention (n = 30) or placebo (n = 28) group. Each group was similar in essential baseline characteristics with no significant differences. The primary outcome measure was total cholesterol (TC) levels. Secondary outcome measures were low-density lipoprotein (LDL), triglycerides (TG) and high-density lipoprotein (HDL). The Ajwa date seed powder yielded a 19.4 %, 22.5 %, and 25.78 % decrease in total cholesterol (TC), low-density lipoprotein (LDL), and triglycerides (TG) levels respectively along with an increase in high-density lipoprotein (HDL) levels by 23.81 % in the intervention group, and these values were significantly better than those of the placebo group. In summary, Ajwa date seed powder was found to have positive effects by improving serum lipid profile in the intervention group compared to the placebo group.
    Keywords blood lipids ; blood serum ; cardiovascular diseases ; cholesterol ; clinical trials ; herbal medicines ; high density lipoprotein ; humans ; hypercholesterolemia ; lipid composition ; low density lipoprotein ; placebos
    Language English
    Dates of publication 2020-12
    Publishing place Elsevier GmbH
    Document type Article
    Note NAL-light
    ISSN 2210-8033
    DOI 10.1016/j.hermed.2020.100409
    Database NAL-Catalogue (AGRICOLA)

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  8. Article ; Online: First COVID-19 case in the Rohingya camp in Bangladesh

    Jubayer, Fahad / Kayshar, Shahidullah / Islam Limon, Tariqul

    Public Health ; ISSN 0033-3506

    Needs proper attention

    2020  

    Keywords Public Health, Environmental and Occupational Health ; General Medicine ; covid19
    Language English
    Publisher Elsevier BV
    Publishing country us
    Document type Article ; Online
    DOI 10.1016/j.puhe.2020.05.033
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  9. Article ; Online: Detection of mold on the food surface using YOLOv5.

    Jubayer, Fahad / Soeb, Janibul Alam / Mojumder, Abu Naser / Paul, Mitun Kanti / Barua, Pranta / Kayshar, Shahidullah / Akter, Syeda Sabrina / Rahman, Mizanur / Islam, Amirul

    Current research in food science

    2021  Volume 4, Page(s) 724–728

    Abstract: The study aimed to identify different molds that grow on various food surfaces. As a result, we conducted a case study for the detection of mold on food surfaces based on the "you only look once (YOLO) v5" principle. In this context, a dataset of 2050 ... ...

    Abstract The study aimed to identify different molds that grow on various food surfaces. As a result, we conducted a case study for the detection of mold on food surfaces based on the "you only look once (YOLO) v5" principle. In this context, a dataset of 2050 food images with mold growing on their surfaces was created. Images were obtained from our own laboratory (850 images) as well as from the internet (1200 images). The dataset was trained using the pre-trained YOLOv5 algorithm. A laboratory test was also performed to confirm that the grown organisms were mold. In comparison to YOLOv3 and YOLOv4, this current YOLOv5 model had better precision, recall, and average precision (AP), which were 98.10%, 100%, and 99.60%, respectively. The YOLOv5 algorithm was used for the first time in this study to detect mold on food surfaces. In conclusion, the proposed model successfully recognizes any kind of mold present on the food surface. Using YOLOv5, we are currently conducting research to identify the specific species of the detected mold.
    Language English
    Publishing date 2021-10-16
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2665-9271
    ISSN (online) 2665-9271
    DOI 10.1016/j.crfs.2021.10.003
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Detection of mold on the food surface using YOLOv5

    Jubayer, Fahad / Soeb, Janibul Alam / Mojumder, Abu Naser / Paul, Mitun Kanti / Barua, Pranta / Kayshar, Shahidullah / Akter, Syeda Sabrina / Rahman, Mizanur / Islam, Amirul

    Current research in food science. 2021, v. 4

    2021  

    Abstract: The study aimed to identify different molds that grow on various food surfaces. As a result, we conducted a case study for the detection of mold on food surfaces based on the “you only look once (YOLO) v5” principle. In this context, a dataset of 2050 ... ...

    Abstract The study aimed to identify different molds that grow on various food surfaces. As a result, we conducted a case study for the detection of mold on food surfaces based on the “you only look once (YOLO) v5” principle. In this context, a dataset of 2050 food images with mold growing on their surfaces was created. Images were obtained from our own laboratory (850 images) as well as from the internet (1200 images). The dataset was trained using the pre-trained YOLOv5 algorithm. A laboratory test was also performed to confirm that the grown organisms were mold. In comparison to YOLOv3 and YOLOv4, this current YOLOv5 model had better precision, recall, and average precision (AP), which were 98.10%, 100%, and 99.60%, respectively. The YOLOv5 algorithm was used for the first time in this study to detect mold on food surfaces. In conclusion, the proposed model successfully recognizes any kind of mold present on the food surface. Using YOLOv5, we are currently conducting research to identify the specific species of the detected mold.
    Keywords Internet ; algorithms ; case studies ; data collection ; laboratory experimentation ; models ; research
    Language English
    Size p. 724-728.
    Publishing place Elsevier B.V.
    Document type Article
    ISSN 2665-9271
    DOI 10.1016/j.crfs.2021.10.003
    Database NAL-Catalogue (AGRICOLA)

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