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  1. Book ; Online ; E-Book: Sustainable Food Drying Techniques in Developing Countries: Prospects and Challenges

    Hasan Masud, Mahadi / Karim, Azharul / Ananno, Anan Ashrabi / Ahmed, Asif

    2020  

    Abstract: This book presents a comprehensive review of renewable energy-based sustainable drying techniques for developing countries. Aspiring towards a world with zero food waste, the book has provided discussion on sustainable drying techniques in terms of ... ...

    Author's details by Mahadi Hasan Masud, Azharul Karim, Anan Ashrabi Ananno, Asif Ahmed
    Abstract This book presents a comprehensive review of renewable energy-based sustainable drying techniques for developing countries. Aspiring towards a world with zero food waste, the book has provided discussion on sustainable drying techniques in terms of energy efficiency. The socio-economic condition of each developing country is unique; therefore, has specific technological requirements. As such, the book presents discussions on food waste scenario around the world, the socio-economic status of developing countries and their correlation with food. The book gives an overview of the quality aspects of drying, along with the required energy and time to retain these features. Additionally, a method of selecting drying techniques for developing countries, taking the cost and safety factor into consideration, has been discussed extensively Also, the renewable and non-renewable energy resources of low income, lower-middle income, middle income, and high-income developing countries have been analyzed and presented. The book also highlights the available drying techniques that are currently being practiced by the consumers and industries of developing countries. The book recommends ten sustainable drying technologies for the developing countries and describes their working principle. Discussion on potential challenges for sustainable drying technology adoption is also presented. The book presents up-to-date research on sustainable drying techniques and their impact on developing countries to reduce food waste. Food waste is not only a humanitarian concern but also a threat to environmental sustainability. Currently, one-third of all produced food is being wasted, when nearly 805 million people - including children remain undernourished on a daily basis. In an effort to solve this crisis, a number of food preservations techniques are being practiced in food supply chain. Drying is one such preservation technique that prevents microbial proliferation, slows enzymatic reaction and preserves the physio-chemical properties of food. Albeit, drying is an effective means of food preservation; it is also highly energy-intensive. Developing countries do not have sufficient energy and financial resources to adopt conventional (expensive and high energy) drying techniques. As such, this is the first reference work dedicated to discussing the prospects and challenges of sustainable (renewable energy based and inexpensive) drying techniques for developing countries in order to reduce food waste. Sustainable food drying techniques in developing countries: Prospects and Challenges is a singular work in the field of food preservation and affordable drying technology. .
    Keywords Microbiology ; Food/Biotechnology ; Energy policy ; Energy and state ; Thermodynamics ; Heat engineering ; Heat transfer ; Mass transfer ; Food Microbiology ; Food Science ; Energy Policy, Economics and Management ; Engineering Thermodynamics, Heat and Mass Transfer ; Deshidratació d'aliments ; Enginyeria sostenible ; Microbiologia dels aliments
    Subject code 641.44
    Language English
    Size 1 online resource (XX, 189 p. 108 illus., 107 illus. in color.)
    Edition 1st ed. 2020.
    Publisher Springer International Publishing ; Imprint: Springer
    Publishing place Cham
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 3-030-42476-6 ; 3-030-42475-8 ; 978-3-030-42476-3 ; 978-3-030-42475-6
    DOI 10.1007/978-3-030-42476-3
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  2. Article: A light-weight convolutional Neural Network Architecture for classification of COVID-19 chest X-Ray images.

    Masud, Mehedi

    Multimedia systems

    2022  Volume 28, Issue 4, Page(s) 1165–1174

    Abstract: The COVID-19 pandemic has opened numerous challenges for scientists to use massive data to develop an automatic diagnostic tool for COVID-19. Since the outbreak in January 2020, COVID-19 has caused a substantial destructive impact on society and human ... ...

    Abstract The COVID-19 pandemic has opened numerous challenges for scientists to use massive data to develop an automatic diagnostic tool for COVID-19. Since the outbreak in January 2020, COVID-19 has caused a substantial destructive impact on society and human life. Numerous studies have been conducted in search of a suitable solution to test COVID-19. Artificial intelligence (AI) based research is not behind in this race, and many AI-based models have been proposed. This paper proposes a lightweight convolutional neural network (CNN) model to classify COVID and Non_COVID patients by analyzing the hidden features in the X-Ray images. The model has been evaluated with different standard metrics to prove the reliability of the model. The model obtained 98.78%, 93.22%, and 92.7% accuracy in the training, validation, and testing phases. In addition, the model achieved 0.964 scores in the Area Under Curve (AUC) metric. We compared the model with four state-of-art pre-trained models (VGG16, InceptionV3, DenseNet121, and EfficientNetB6). The evaluation results demonstrate that the proposed CNN model is a candidate for an automatic diagnostic tool for the classification of COVID-19 patients using chest X-ray images. This research proposes a technique to classify COVID-19 patients and does not claim any medical diagnosis accuracy.
    Language English
    Publishing date 2022-01-07
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1463005-9
    ISSN 1432-1882 ; 0942-4962
    ISSN (online) 1432-1882
    ISSN 0942-4962
    DOI 10.1007/s00530-021-00857-8
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Effective dose window for containing tumor burden under tolerable level.

    Masud, M A / Kim, Jae-Young / Kim, Eunjung

    NPJ systems biology and applications

    2023  Volume 9, Issue 1, Page(s) 17

    Abstract: A maximum-tolerated dose (MTD) reduces the drug-sensitive cell population, though it may result in the competitive release of drug resistance. Alternative treatment strategies such as adaptive therapy (AT) or dose modulation aim to impose competitive ... ...

    Abstract A maximum-tolerated dose (MTD) reduces the drug-sensitive cell population, though it may result in the competitive release of drug resistance. Alternative treatment strategies such as adaptive therapy (AT) or dose modulation aim to impose competitive stress on drug-resistant cell populations by maintaining a sufficient number of drug-sensitive cells. However, given the heterogeneous treatment response and tolerable tumor burden level of individual patients, determining an effective dose that can fine-tune competitive stress remains challenging. This study presents a mathematical model-driven approach that determines the plausible existence of an effective dose window (EDW) as a range of doses that conserve sufficient sensitive cells while maintaining the tumor volume below a threshold tolerable tumor volume (TTV). We use a mathematical model that explains intratumor cell competition. Analyzing the model, we derive an EDW determined by TTV and the competitive strength. By applying a fixed endpoint optimal control model, we determine the minimal dose to contain cancer at a TTV. As a proof of concept, we study the existence of EDW for a small cohort of melanoma patients by fitting the model to longitudinal tumor response data. We performed identifiability analysis, and for the patients with uniquely identifiable parameters, we deduced patient-specific EDW and minimal dose. The tumor volume for a patient could be theoretically contained at the TTV either using continuous dose or AT strategy with doses belonging to EDW. Further, we conclude that the lower bound of the EDW approximates the minimum effective dose (MED) for containing tumor volume at the TTV.
    MeSH term(s) Humans ; Tumor Burden ; Melanoma
    Language English
    Publishing date 2023-05-23
    Publishing country England
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2056-7189
    ISSN (online) 2056-7189
    DOI 10.1038/s41540-023-00279-4
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: Modeling the effect of acquired resistance on cancer therapy outcomes.

    Masud, M A / Kim, Jae-Young / Kim, Eunjung

    Computers in biology and medicine

    2023  Volume 162, Page(s) 107035

    Abstract: Adaptive therapy (AT) is an evolution-based treatment strategy that exploits cell-cell competition. Acquired resistance can change the competitive nature of cancer cells in a tumor, impacting AT outcomes. We aimed to determine if adaptive therapy can ... ...

    Abstract Adaptive therapy (AT) is an evolution-based treatment strategy that exploits cell-cell competition. Acquired resistance can change the competitive nature of cancer cells in a tumor, impacting AT outcomes. We aimed to determine if adaptive therapy can still be effective with cell's acquiring resistance. We developed an agent-based model for spatial tumor growth considering three different types of acquired resistance: random genetic mutations during cell division, drug-induced reversible (plastic) phenotypic changes, and drug-induced irreversible phenotypic changes. These three resistance mechanisms lead to different spatial distributions of resistant cells. To quantify the spatial distribution, we propose an extension of Ripley's K-function, Sampled Ripley's K-function (SRKF), which calculates the non-randomness of the resistance distribution over the tumor domain. Our model predicts that the emergent spatial distribution of resistance can determine the time to progression under both adaptive and continuous therapy (CT). Notably, a high rate of random genetic mutations leads to quicker progression under AT than CT due to the emergence of many small clumps of resistant cells. Drug-induced phenotypic changes accelerate tumor progression irrespective of the treatment strategy. Low-rate switching to a sensitive state reduces the benefits of AT compared to CT. Furthermore, we also demonstrated that drug-induced resistance necessitates aggressive treatment under CT, regardless of the presence of cancer-associated fibroblasts. However, there is an optimal dose that can most effectively delay tumor relapse under AT by suppressing resistance. In conclusion, this study demonstrates that diverse resistance mechanisms can shape the distribution of resistance and thus determine the efficacy of adaptive therapy.
    MeSH term(s) Humans ; Drug Resistance, Neoplasm/genetics ; Neoplasms/drug therapy ; Neoplasms/genetics ; Neoplasms/pathology
    Language English
    Publishing date 2023-05-27
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 127557-4
    ISSN 1879-0534 ; 0010-4825
    ISSN (online) 1879-0534
    ISSN 0010-4825
    DOI 10.1016/j.compbiomed.2023.107035
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Predictive performance of machine learning compared to statistical methods in time-to-event analysis of cardiovascular disease: a systematic review protocol.

    Suliman, Abubaker / Masud, Mohammad / Serhani, Mohamed Adel / Abdullahi, Aminu S / Oulhaj, Abderrahim

    BMJ open

    2024  Volume 14, Issue 4, Page(s) e082654

    Abstract: Background: Globally, cardiovascular disease (CVD) remains the leading cause of death, warranting effective management and prevention measures. Risk prediction tools are indispensable for directing primary and secondary prevention strategies for CVD and ...

    Abstract Background: Globally, cardiovascular disease (CVD) remains the leading cause of death, warranting effective management and prevention measures. Risk prediction tools are indispensable for directing primary and secondary prevention strategies for CVD and are critical for estimating CVD risk. Machine learning (ML) methodologies have experienced significant advancements across numerous practical domains in recent years. Several ML and statistical models predicting CVD time-to-event outcomes have been developed. However, it is not known as to which of the two model types-ML and statistical models-have higher discrimination and calibration in this regard. Hence, this planned work aims to systematically review studies that compare ML with statistical methods in terms of their predictive abilities in the case of time-to-event data with censoring.
    Methods: Original research articles published as prognostic prediction studies, which involved the development and/or validation of a prognostic model, within a peer-reviewed journal, using cohort or experimental design with at least a 12-month follow-up period will be systematically reviewed. The review process will adhere to the Critical Appraisal and Data Extraction for Systematic Reviews of Prediction Modelling Studies checklist.
    Ethics and dissemination: Ethical approval is not required for this review, as it will exclusively use data from published studies. The findings of this study will be published in an open-access journal and disseminated at scientific conferences.
    Prospero registration number: CRD42023484178.
    MeSH term(s) Humans ; Cardiovascular Diseases/prevention & control ; Systematic Reviews as Topic ; Prognosis ; Machine Learning ; Research Design ; Review Literature as Topic
    Language English
    Publishing date 2024-04-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 2599832-8
    ISSN 2044-6055 ; 2044-6055
    ISSN (online) 2044-6055
    ISSN 2044-6055
    DOI 10.1136/bmjopen-2023-082654
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: Estimate of Strouhal and Reynolds numbers for swimming penguins

    Masud, M. H. / La Mantia, M. / Dabnichki, P.

    Journal of avian biology. 2022 Feb., v. 2022, no. 2

    2022  

    Abstract: Propulsion performance of swimming and flying animals is often evaluated by using dimensionless numbers, such as the Strouhal and Reynolds numbers. They have been shown to allow a better understanding of locomotion efficiency, using relatively simple ... ...

    Abstract Propulsion performance of swimming and flying animals is often evaluated by using dimensionless numbers, such as the Strouhal and Reynolds numbers. They have been shown to allow a better understanding of locomotion efficiency, using relatively simple approaches and avoiding overly complex computational models. Specifically, it has been reported that efficient propulsion is more likely to occur when Strouhal number values – estimated from propulsive frequencies and amplitudes – are within a relatively narrow range, depending on the corresponding Reynolds number, broadly expressing the fluid resistance to the animal motion. We have estimated both Strouhal and Reynolds numbers for seven species of penguins after analysing relevant kinematic data taken from the literature. The obtained values neatly indicate that, as expected, penguins employ efficient propulsion mechanisms. Additionally, by comparing these values with those for alcids – seabirds that can also fly – we have found that penguins swim at least as efficiently as alcids. However, we have also found that the swimming number – proportional to the product of Strouhal and Reynolds numbers – neatly correlates to the diving abilities of the considered species and apparently indicates, in a straightforward hierarchical manner, the gains in diving due to the loss of flying abilities. Within the penguin species, a clear correlation is also observed between diving performance and drag coefficient values.
    Keywords Reynolds number ; drag coefficient ; locomotion ; penguins
    Language English
    Dates of publication 2022-02
    Publishing place Blackwell Publishing Ltd
    Document type Article
    Note JOURNAL ARTICLE
    ZDB-ID 2028018-X
    ISSN 1600-048X ; 0908-8857
    ISSN (online) 1600-048X
    ISSN 0908-8857
    DOI 10.1111/jav.02886
    Database NAL-Catalogue (AGRICOLA)

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  7. Article: Editorial: Investigating AI-based smart precision agriculture techniques.

    Bhatti, Uzair Aslam / Masud, Mehdi / Bazai, Sibghat Ullah / Tang, Hao

    Frontiers in plant science

    2023  Volume 14, Page(s) 1237783

    Language English
    Publishing date 2023-07-11
    Publishing country Switzerland
    Document type Editorial
    ZDB-ID 2613694-6
    ISSN 1664-462X
    ISSN 1664-462X
    DOI 10.3389/fpls.2023.1237783
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article ; Online: Correction

    Wasim Abbas / Masud M A / Anna Park / Sajida Parveen / Sangil Kim

    PLoS ONE, Vol 18, Iss 10, p e

    Evolution and consequences of individual responses during the COVID-19 outbreak.

    2023  Volume 0292775

    Abstract: This corrects the article DOI:10.1371/journal.pone.0273964.]. ...

    Abstract [This corrects the article DOI:10.1371/journal.pone.0273964.].
    Keywords Medicine ; R ; Science ; Q
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher Public Library of Science (PLoS)
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Understanding the Role of Environmental Transmission on COVID-19 Herd Immunity and Invasion Potential.

    Masud, M A / Islam, Md Hamidul / Kim, Byul Nim

    Bulletin of mathematical biology

    2022  Volume 84, Issue 10, Page(s) 116

    Abstract: COVID-19 is caused by the SARS-CoV-2 virus, which is mainly transmitted directly between humans. However, it is observed that this disease can also be transmitted through an indirect route via environmental fomites. The development of appropriate and ... ...

    Abstract COVID-19 is caused by the SARS-CoV-2 virus, which is mainly transmitted directly between humans. However, it is observed that this disease can also be transmitted through an indirect route via environmental fomites. The development of appropriate and effective vaccines has allowed us to target and anticipate herd immunity. Understanding of the transmission dynamics and the persistence of the virus on environmental fomites and their resistive role on indirect transmission of the virus is an important scientific and public health challenge because it is essential to consider all possible transmission routes and route specific transmission strength to accurately quantify the herd immunity threshold. In this paper, we present a mathematical model that considers both direct and indirect transmission modes. Our analysis focuses on establishing the disease invasion threshold, investigating its sensitivity to both transmission routes and isolate route-specific transmission rate. Using the tau-leap algorithm, we perform a stochastic model simulation to address the invasion potential of both transmission routes. Our analysis shows that direct transmission has a higher invasion potential than that of the indirect transmission. As a proof of this concept, we fitted our model with early epidemic data from several countries to uniquely estimate the reproduction numbers associated with direct and indirect transmission upon confirming the identifiability of the parameters. As the indirect transmission possess lower invasion potential than direct transmission, proper estimation and necessary steps toward mitigating it would help reduce vaccination requirement.
    MeSH term(s) COVID-19/prevention & control ; Humans ; Immunity, Herd ; Mathematical Concepts ; Models, Biological ; SARS-CoV-2
    Language English
    Publishing date 2022-09-10
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 184905-0
    ISSN 1522-9602 ; 0007-4985 ; 0092-8240
    ISSN (online) 1522-9602
    ISSN 0007-4985 ; 0092-8240
    DOI 10.1007/s11538-022-01070-y
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Structural, electronic, optical and thermodynamic properties of AlAuO

    Rana, Md Zuel / Munshi, Md Rajib / Al Masud, Md / Zahan, Md Sarwar

    Heliyon

    2023  Volume 9, Issue 11, Page(s) e21405

    Abstract: In this study, density functional theory (DFT) simulations have been used to study the structural, electrical and optical properties of ... ...

    Abstract In this study, density functional theory (DFT) simulations have been used to study the structural, electrical and optical properties of AlAuO
    Language English
    Publishing date 2023-10-30
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e21405
    Database MEDical Literature Analysis and Retrieval System OnLINE

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