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  1. Article ; Online: Complex dynamics and control analysis of an epidemic model with non-monotone incidence and saturated treatment.

    Saha, Pritam / Ghosh, Uttam

    International journal of dynamics and control

    2022  Volume 11, Issue 1, Page(s) 301–323

    Abstract: In this manuscript, we consider an epidemic model having constant recruitment of susceptible individuals with non-monotone disease transmission rate and saturated-type treatment rate. Two types of disease control strategies are taken here, namely ... ...

    Abstract In this manuscript, we consider an epidemic model having constant recruitment of susceptible individuals with non-monotone disease transmission rate and saturated-type treatment rate. Two types of disease control strategies are taken here, namely vaccination for susceptible individuals and treatment for infected individuals to minimize the impact of the disease. We study local as well as global stability analysis of the disease-free equilibrium point and also endemic equilibrium point based on the values of basic reproduction number
    Language English
    Publishing date 2022-05-26
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 2714518-9
    ISSN 2195-2698 ; 2195-268X
    ISSN (online) 2195-2698
    ISSN 2195-268X
    DOI 10.1007/s40435-022-00969-7
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article ; Online: The reality of the use of growth hormones in fish (Rui (

    Khatun, Popy / Saha, Pritam / Islam, Md Zahorul / Islam, Arup / Islam, Md Anwarul / Islam, Purba

    Current research in food science

    2024  Volume 8, Page(s) 100709

    Abstract: The unobservable use of hormones in fish production is becoming an alarming issue worldwide. To reveal the fact in Bangladesh, 144 fish samples (rui ( ...

    Abstract The unobservable use of hormones in fish production is becoming an alarming issue worldwide. To reveal the fact in Bangladesh, 144 fish samples (rui (
    Language English
    Publishing date 2024-02-29
    Publishing country Netherlands
    Document type Journal Article
    ISSN 2665-9271
    ISSN (online) 2665-9271
    DOI 10.1016/j.crfs.2024.100709
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  3. Article: An SEQAIHR model to study COVID-19 transmission and optimal control strategies in Hong Kong, 2022.

    Saha, Pritam / Biswas, Sudhanshu Kumar / Biswas, Md Haider Ali / Ghosh, Uttam

    Nonlinear dynamics

    2023  Volume 111, Issue 7, Page(s) 6873–6893

    Abstract: During the COVID-19 pandemic, one of the major concerns was a medical emergency in human society. Therefore it was necessary to control or restrict the disease spreading among populations in any fruitful way at that time. To frame out a proper policy for ...

    Abstract During the COVID-19 pandemic, one of the major concerns was a medical emergency in human society. Therefore it was necessary to control or restrict the disease spreading among populations in any fruitful way at that time. To frame out a proper policy for controlling COVID-19 spreading with limited medical facilities, here we propose an
    Language English
    Publishing date 2023-01-07
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2012600-1
    ISSN 1573-269X ; 0924-090X
    ISSN (online) 1573-269X
    ISSN 0924-090X
    DOI 10.1007/s11071-022-08181-0
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  4. Article ; Online: COVID-19: Fear of pandemic and short-term IPO performance.

    Mazumder, Sharif / Saha, Pritam

    Finance research letters

    2021  Volume 43, Page(s) 101977

    Abstract: This study analyzes the relationship between COVID-19 related fear and short-term IPO performance. Though the average market-adjusted initial return of IPOs in the year 2020 is higher than that of the last four decades, it decreases if fear of pandemic ... ...

    Abstract This study analyzes the relationship between COVID-19 related fear and short-term IPO performance. Though the average market-adjusted initial return of IPOs in the year 2020 is higher than that of the last four decades, it decreases if fear of pandemic increases. The evidence is robust when we use matching firm-adjusted initial returns. Next, we analyze the persistence of performance after the IPO date. The results show that the performance of IPO firms is more sensitive to the fear of the pandemic than the performance of similar existing firms.
    Language English
    Publishing date 2021-02-12
    Publishing country Netherlands
    Document type Journal Article
    ISSN 1544-6131
    ISSN (online) 1544-6131
    DOI 10.1016/j.frl.2021.101977
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article: Global dynamics and control strategies of an epidemic model having logistic growth, non-monotone incidence with the impact of limited hospital beds.

    Saha, Pritam / Ghosh, Uttam

    Nonlinear dynamics

    2021  Volume 105, Issue 1, Page(s) 971–996

    Abstract: In this paper, we have considered a deterministic epidemic model with logistic growth rate of the susceptible population, non-monotone incidence rate, nonlinear treatment function with impact of limited hospital beds and performed control strategies. The ...

    Abstract In this paper, we have considered a deterministic epidemic model with logistic growth rate of the susceptible population, non-monotone incidence rate, nonlinear treatment function with impact of limited hospital beds and performed control strategies. The existence and stability of equilibria as well as persistence and extinction of the infection have been studied here. We have investigated different types of bifurcations, namely Transcritical bifurcation, Backward bifurcation, Saddle-node bifurcation and Hopf bifurcation, at different equilibrium points under some parametric restrictions. Numerical simulation for each of the above-defined bifurcations shows the complex dynamical phenomenon of the infectious disease. Furthermore, optimal control strategies are performed using Pontryagin's maximum principle and strategies of controls are studied for two infectious diseases. Lastly using efficiency analysis we have found the effective control strategies for both cases.
    Language English
    Publishing date 2021-06-21
    Publishing country Netherlands
    Document type Journal Article
    ZDB-ID 2012600-1
    ISSN 1573-269X ; 0924-090X
    ISSN (online) 1573-269X
    ISSN 0924-090X
    DOI 10.1007/s11071-021-06607-9
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: GIS-based data-driven bivariate statistical models for landslide susceptibility prediction in Upper Tista Basin, India.

    Das, Jayanta / Saha, Pritam / Mitra, Rajib / Alam, Asraful / Kamruzzaman, Md

    Heliyon

    2023  Volume 9, Issue 5, Page(s) e16186

    Abstract: Predicting landslides is becoming a crucial global challenge for sustainable development in mountainous areas. This research compares the landslide susceptibility maps (LSMs) prepared from five GIS-based data-driven bivariate statistical models, namely, ( ...

    Abstract Predicting landslides is becoming a crucial global challenge for sustainable development in mountainous areas. This research compares the landslide susceptibility maps (LSMs) prepared from five GIS-based data-driven bivariate statistical models, namely, (a) Frequency Ratio (FR), (b) Index of Entropy (IOE), (c) Statistical Index (SI), (d) Modified Information Value Model (MIV) and (e) Evidential Belief Function (EBF). These five models were tested in the high landslides-prone humid sub-tropical type Upper Tista basin of the Darjeeling-Sikkim Himalaya by integrating the GIS and remote sensing. The landslide inventory map consisting of 477 landslide locations was prepared, and about 70% of all landslide data was utilized for training the model, and 30% was used to validate it after training. A total of fourteen landslide triggering parameters (elevation, slope, aspect, curvature, roughness, stream power index, TWI, distance to stream, distance to road, NDVI, LULC, rainfall, modified fournier index, and lithology) were taken into consideration for preparing the LSMs. The multicollinearity statistics revealed no collinearity problem among the fourteen causative factors used in this study. Based on the FR, MIV, IOE, SI, and EBF approaches, 12.00%, 21.46%, 28.53%, 31.42%, and 14.17% areas, respectively, identified in the high and very high landslide-prone zones. The research also revealed that the IOE model has the highest training accuracy of 95.80%, followed by SI (92.60%), MIV (92.20%), FR (91.50%), and EBF (89.90%) models. Consistent with the actual distribution of landslides, the very high, high, and medium hazardous zones stretch along the Tista River and major roads. The suggested landslide susceptibility models have enough accuracy for usage in landslide mitigation and long-term land use planning in the study area. Decision-makers and local planners may utilise the study's findings. The techniques for determining landslide susceptibility can also be employed in other Himalayan regions to manage and evaluate landslide hazards.
    Language English
    Publishing date 2023-05-12
    Publishing country England
    Document type Journal Article
    ZDB-ID 2835763-2
    ISSN 2405-8440
    ISSN 2405-8440
    DOI 10.1016/j.heliyon.2023.e16186
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: GIS-based data-driven bivariate statistical models for landslide susceptibility prediction in Upper Tista Basin, India

    Jayanta Das / Pritam Saha / Rajib Mitra / Asraful Alam / Md Kamruzzaman

    Heliyon, Vol 9, Iss 5, Pp e16186- (2023)

    2023  

    Abstract: Predicting landslides is becoming a crucial global challenge for sustainable development in mountainous areas. This research compares the landslide susceptibility maps (LSMs) prepared from five GIS-based data-driven bivariate statistical models, namely, ( ...

    Abstract Predicting landslides is becoming a crucial global challenge for sustainable development in mountainous areas. This research compares the landslide susceptibility maps (LSMs) prepared from five GIS-based data-driven bivariate statistical models, namely, (a) Frequency Ratio (FR), (b) Index of Entropy (IOE), (c) Statistical Index (SI), (d) Modified Information Value Model (MIV) and (e) Evidential Belief Function (EBF). These five models were tested in the high landslides-prone humid sub-tropical type Upper Tista basin of the Darjeeling-Sikkim Himalaya by integrating the GIS and remote sensing. The landslide inventory map consisting of 477 landslide locations was prepared, and about 70% of all landslide data was utilized for training the model, and 30% was used to validate it after training. A total of fourteen landslide triggering parameters (elevation, slope, aspect, curvature, roughness, stream power index, TWI, distance to stream, distance to road, NDVI, LULC, rainfall, modified fournier index, and lithology) were taken into consideration for preparing the LSMs. The multicollinearity statistics revealed no collinearity problem among the fourteen causative factors used in this study. Based on the FR, MIV, IOE, SI, and EBF approaches, 12.00%, 21.46%, 28.53%, 31.42%, and 14.17% areas, respectively, identified in the high and very high landslide-prone zones. The research also revealed that the IOE model has the highest training accuracy of 95.80%, followed by SI (92.60%), MIV (92.20%), FR (91.50%), and EBF (89.90%) models. Consistent with the actual distribution of landslides, the very high, high, and medium hazardous zones stretch along the Tista River and major roads. The suggested landslide susceptibility models have enough accuracy for usage in landslide mitigation and long-term land use planning in the study area. Decision-makers and local planners may utilise the study's findings. The techniques for determining landslide susceptibility can also be employed in other Himalayan regions to manage and evaluate ...
    Keywords Landslide susceptibility mapping ; Evidence belief function ; Frequency ratio ; Index of entropy ; ROC-AUC ; Sikkim himalayan region ; Science (General) ; Q1-390 ; Social sciences (General) ; H1-99
    Subject code 550
    Language English
    Publishing date 2023-05-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Article ; Online: Comparative Study of Nitro- and Azide-Functionalized Zn

    Saha, Subhajit / Roy, Pritam Kumar / Maity, Kartik / Mandal, Mahitosh / Biradha, Kumar

    Chemistry (Weinheim an der Bergstrasse, Germany)

    2022  Volume 28, Issue 9, Page(s) e202103830

    Abstract: Selective detection of ... ...

    Abstract Selective detection of H
    MeSH term(s) Azides ; Fluorescent Dyes ; Luminescence ; Polymers ; Zinc
    Chemical Substances Azides ; Fluorescent Dyes ; Polymers ; Zinc (J41CSQ7QDS)
    Language English
    Publishing date 2022-01-19
    Publishing country Germany
    Document type Journal Article
    ZDB-ID 1478547-X
    ISSN 1521-3765 ; 0947-6539
    ISSN (online) 1521-3765
    ISSN 0947-6539
    DOI 10.1002/chem.202103830
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  9. Article ; Online: Spirulina supplementation to alleviate negative effects of lead in layer chicken.

    Rahman, Md Mizanur / Islam, Md Shahidul / Hasan, Rakibul / Saha, Pritam / Alam, Mohammad Shah

    Journal of advanced veterinary and animal research

    2023  Volume 10, Issue 4, Page(s) 794–800

    Abstract: Objectives: Lead (Pb), a toxic heavy metal, is a serious concern for poultry that negatively affects their productivity and health. To combat those issues efficiently, it is necessary to include feed supplements that have rich antioxidant properties for ...

    Abstract Objectives: Lead (Pb), a toxic heavy metal, is a serious concern for poultry that negatively affects their productivity and health. To combat those issues efficiently, it is necessary to include feed supplements that have rich antioxidant properties for satisfactory health and productivity.
    Materials and methods: Forty birds were separated into four groups: the control (C), Spirulina (Sp), Pb, and (Pb + Sp) groups. The Pb group was given Pb acetate at a dose of 2 gm/l in water
    Results: Productive performance and hematology such as hemoglobin (Hb), packed cell volume, red blood cell, mean corpuscular volume, mean corpuscular Hb (MCH) concentration, and MCH were significantly (
    Conclusion: This study indicates that Sp can possibly be used as a natural and powerful dietary additive to mitigate heavy metal intoxication in chickens, thereby being efficient and effective for production.
    Language English
    Publishing date 2023-12-31
    Publishing country Bangladesh
    Document type Journal Article
    ZDB-ID 2766493-4
    ISSN 2311-7710 ; 2311-7710
    ISSN (online) 2311-7710
    ISSN 2311-7710
    DOI 10.5455/javar.2023.j735
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: Application of multi layer perceptron neural network Markov Chain model for LULC change detection in the Sub-Himalayan North Bengal

    Saha, Pritam / Mitra, Rajib / Chakraborty, Kunal / Roy, Maitreyee

    Remote sensing applications. 2022 Apr., v. 26

    2022  

    Abstract: Land use and land cover (LULC) changes may occur due to natural and anthropogenic activities. The present study area is situated in the Himalayan foothill region of north-eastern India and covers around 1507 km². This area comprises Siliguri Municipal ... ...

    Abstract Land use and land cover (LULC) changes may occur due to natural and anthropogenic activities. The present study area is situated in the Himalayan foothill region of north-eastern India and covers around 1507 km². This area comprises Siliguri Municipal Corporation (SMC) and the surrounding five community development blocks. Geopolitical location of the study area makes it significant as it is exposed to the negative impacts of human and commercial activities across the region. The present study aims to identify the LULC classes in the study area from 1991 to 2021 with their change dynamics and predict the LULC changes in 2050. Apart from these, a perception study is also carried out to identify the major drivers of LULC changes in the study area. After delineating the study area, supervised classification of Landsat satellite images was done applying the maximum likelihood classification (MLC) tool for the year 1991, 2001, 2011 and 2021. Each image was classified into six LULC classes i.e., vegetation, plantation, agricultural land, built up, water bodies and fallow land and the overall accuracy (average) of the classified maps is 88.83%. The result shows that vegetation, agricultural land and fallow land are decreased from 23% to 20%, 35%–28% and 23%–19% respectively and plantation and built up areas are significantly increased from 14% to 24% and 2%–8% respectively. Then the land change modeler (LCM) under multi layer perceptron neural network Markov Chain (MLPNN-MC) model was applied to predict the spatio-temporal LULC changes from 2021 to 2050. The result reveals that in 2050 built up areas will be increased significantly and are expected to cover almost 12% of the total study area and only 24% of agricultural land will be left. The model was validated by Pearson's chi-squared test and found no significant distinguishes between simulated and actual classified maps. For identifying the main drivers of the LULC changes in the study area people's perceptions were taken from 25 focus group discussions (FGD) randomly over the area. The result reveals that physical and economic location, immigration, development of transport network, increasing multi-functional land use, expansion of small trade and enterprises, and cutting of trees for fuel wood and construction purposes are the key drivers of LULC change for this particular region. The change in the land surface in this Sub-Himalayan region is threatened by unplanned urbanization and unorganized land use practices so, crucial measures are needed indeed.
    Keywords Landsat ; Markov chain ; agricultural land ; chi-square distribution ; community development ; focus groups ; fuelwood ; hills ; humans ; immigration ; land use ; land use and land cover maps ; models ; people ; politics ; trade ; urbanization ; vegetation ; India
    Language English
    Dates of publication 2022-04
    Publishing place Elsevier B.V.
    Document type Article
    ISSN 2352-9385
    DOI 10.1016/j.rsase.2022.100730
    Database NAL-Catalogue (AGRICOLA)

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