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  1. Article: District Mental Health Program - Moving beyond Bellary model.

    Chakraborty, Kaustav

    Indian journal of psychiatry

    2018  Volume 60, Issue 4, Page(s) 510–511

    Language English
    Publishing date 2018-11-26
    Publishing country India
    Document type Journal Article
    ZDB-ID 221523-8
    ISSN 0019-5545
    ISSN 0019-5545
    DOI 10.4103/psychiatry.IndianJPsychiatry_439_18
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  2. Article ; Online: Anti-fibrotic agents could be the game-changer for post-COVID-19 pulmonary fibrosis treatment

    Pallab Chakraborty / Kaustav Chakraborty

    European Journal of Biological Research, Vol 12, Iss

    2022  Volume 1

    Abstract: More than 220 countries and territories are globally affected by the recent pandemic COVID-19 which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). There is possibility of third wave of this pandemic as per epidemiological and ... ...

    Abstract More than 220 countries and territories are globally affected by the recent pandemic COVID-19 which is caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). There is possibility of third wave of this pandemic as per epidemiological and public health experts. Besides that post-COVID-19 complications are alarming matter to look upon. Post-COVID-19 complications include several symptoms like as persistent fever; cough; fatigue; headache; attention disorder; dyspnea; anosmia; ageusia; chest pain discomfort; various respiratory illness; acute respiratory distress syndrome (ARDS) etc., and here the things to worry about is the development of pulmonary fibrosis after COVID-19. In some COVID-19 patients, hyper-inflammation in the form of ‘cytokine storm’ along with dysregulated immune response, alveolar epithelial tissue injury and wound repair collectively cause this secondary pulmonary fibrosis. Therefore, using anti-fibrotic agents e.g. pirfenidone, nintedanib and other natural compounds could be meaningful in these circumstances although their efficacy in treating COVID-19 is subject to more detailed laboratory research works. In this review article, we have discussed the progression of pulmonary fibrosis development which is triggered by COVID-19; probable solutions with anti-fibrotic agents including anti-fibrotic drugs, some well-known natural compounds, combined anti-fibrotic therapies; and the current challenges of this field. DOI: http://dx.doi.org/10.5281/zenodo.5813126
    Keywords COVID-19 ; Post-COVID-19 pulmonary fibrosis ; Lung injury ; Anti-fibrotic agents ; Biology (General) ; QH301-705.5
    Subject code 610
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher TMKarpinski Publisher, Tomasz M. Karpiński
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  3. Article: Management of Psychiatric Disorders in Patients with Stroke and Traumatic Brain Injury.

    Saha, Gautam / Chakraborty, Kaustav / Pattojoshi, Amrit

    Indian journal of psychiatry

    2022  Volume 64, Issue Suppl 2, Page(s) S344–S354

    Language English
    Publishing date 2022-03-23
    Publishing country India
    Document type Journal Article
    ZDB-ID 221523-8
    ISSN 0019-5545
    ISSN 0019-5545
    DOI 10.4103/indianjpsychiatry.indianjpsychiatry_34_22
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  4. Article: General Principles for Psychotherapeutic Interventions in Children and Adolescents.

    Bhide, Ajit / Chakraborty, Kaustav

    Indian journal of psychiatry

    2020  Volume 62, Issue Suppl 2, Page(s) S299–S318

    Language English
    Publishing date 2020-01-17
    Publishing country India
    Document type Journal Article
    ZDB-ID 221523-8
    ISSN 0019-5545
    ISSN 0019-5545
    DOI 10.4103/psychiatry.IndianJPsychiatry_811_19
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  5. Article: Reply to the comments on "Psychological impact of COVID-19 pandemic on general population in West Bengal: A cross-sectional study".

    Chakraborty, Kaustav / Chatterjee, Moumita

    Indian journal of psychiatry

    2020  Volume 62, Issue 4, Page(s) 448–449

    Keywords covid19
    Language English
    Publishing date 2020-07-27
    Publishing country India
    Document type Journal Article
    ZDB-ID 221523-8
    ISSN 0019-5545
    ISSN 0019-5545
    DOI 10.4103/psychiatry.IndianJPsychiatry_650_20
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  6. Article: Ethics and Law.

    Gundugurti, Prasad Rao / Bhattacharyya, Ranjan / Kondepi, Sandeep / Chakraborty, Kaustav / Mukherjee, Abir

    Indian journal of psychiatry

    2022  Volume 64, Issue Suppl 1, Page(s) S7–S15

    Language English
    Publishing date 2022-03-22
    Publishing country India
    Document type Journal Article
    ZDB-ID 221523-8
    ISSN 0019-5545
    ISSN 0019-5545
    DOI 10.4103/indianjpsychiatry.indianjpsychiatry_726_21
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  7. Book ; Online: Discovering Closed-Loop Failures of Vision-Based Controllers via Reachability Analysis

    Chakraborty, Kaustav / Bansal, Somil

    2022  

    Abstract: Machine learning driven image-based controllers allow robotic systems to take intelligent actions based on the visual feedback from their environment. Understanding when these controllers might lead to system safety violations is important for their ... ...

    Abstract Machine learning driven image-based controllers allow robotic systems to take intelligent actions based on the visual feedback from their environment. Understanding when these controllers might lead to system safety violations is important for their integration in safety-critical applications and engineering corrective safety measures for the system. Existing methods leverage simulation-based testing (or falsification) to find the failures of vision-based controllers, i.e., the visual inputs that lead to closed-loop safety violations. However, these techniques do not scale well to the scenarios involving high-dimensional and complex visual inputs, such as RGB images. In this work, we cast the problem of finding closed-loop vision failures as a Hamilton-Jacobi (HJ) reachability problem. Our approach blends simulation-based analysis with HJ reachability methods to compute an approximation of the backward reachable tube (BRT) of the system, i.e., the set of unsafe states for the system under vision-based controllers. Utilizing the BRT, we can tractably and systematically find the system states and corresponding visual inputs that lead to closed-loop failures. These visual inputs can be subsequently analyzed to find the input characteristics that might have caused the failure. Besides its scalability to high-dimensional visual inputs, an explicit computation of BRT allows the proposed approach to capture non-trivial system failures that are difficult to expose via random simulations. We demonstrate our framework on two case studies involving an RGB image-based neural network controller for (a) autonomous indoor navigation, and (b) autonomous aircraft taxiing.
    Keywords Computer Science - Robotics ; Computer Science - Artificial Intelligence ; Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning ; Electrical Engineering and Systems Science - Systems and Control
    Subject code 629
    Publishing date 2022-11-04
    Publishing country us
    Document type Book ; Online
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  8. Article: Psychological impact of COVID-19 pandemic on general population in West Bengal: A cross-sectional study.

    Chakraborty, Kaustav / Chatterjee, Moumita

    Indian journal of psychiatry

    2020  Volume 62, Issue 3, Page(s) 266–272

    Abstract: Background: COVID-19 pandemic poses a unique medical challenge to the humanity in recent times. The psychological impact of the pandemic itself and the lockdown in particular is likely to be huge.: Aim: To assess the psychological impact of COVID-19 ... ...

    Abstract Background: COVID-19 pandemic poses a unique medical challenge to the humanity in recent times. The psychological impact of the pandemic itself and the lockdown in particular is likely to be huge.
    Aim: To assess the psychological impact of COVID-19 pandemic on general population in West Bengal.
    Materials and methods: It was an online survey which was conducted using Google Forms with link sent using WhatsApp. A 38-item self-designed questionnaire was used for the study. The survey questionnaire would take around 5-7 min to complete. Total 507 responses were received by the stipulated time.
    Results: Near about five-seventh (71.8%) and one-fifth (24.7%) of the respondents felt more worried and depressed, respectively, in the past 2 weeks. Half of the respondents (52.1%) were preoccupied with the idea of contracting COVID-19 and one-fifth (21.1%) of the respondents were repeatedly thinking of getting themselves tested for the presence of COVID-19 despite having no symptoms. Majority (69.6%) of the respondents were worried about the financial loss they were incurring during the period of lockdown. One-fourth (25.6%) and one-third (30.8%) of the respondents found that COVID-19 pandemic had threatened their existence and they found it difficult to adjust to the new routine during 21-day lockdown period, respectively.
    Conclusion: The index survey suggested that worry and sleep disturbances were common among the respondents in the past 2 weeks. The pandemic threatened the existence of the respondents to a great extent and affected their mental status negatively.
    Keywords covid19
    Language English
    Publishing date 2020-05-15
    Publishing country India
    Document type Journal Article
    ZDB-ID 221523-8
    ISSN 0019-5545
    ISSN 0019-5545
    DOI 10.4103/psychiatry.IndianJPsychiatry_276_20
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  9. Book ; Online: Correlated disorder in entropic crystals

    Kundu, Sumitava / Chakraborty, Kaustav / Das, Avisek

    2023  

    Abstract: We report computational evidence of a new type of disordered phase in crystals resulting from entropy driven self-assembly of hard convex polyhedra. The disorder was reflected in the orientations of the anisotropic particles and not in the positions of ... ...

    Abstract We report computational evidence of a new type of disordered phase in crystals resulting from entropy driven self-assembly of hard convex polyhedra. The disorder was reflected in the orientations of the anisotropic particles and not in the positions of the centers of geometry. Despite the lack of order, particle orientations were not random and exhibited strong correlations. The correlations were manifested in terms of ``quantized'' rotational motions in a fixed number of absolute orientations, while maintaining equal populations and specific measure of pairwise angular differences among the discrete values. This gave rise to a discretely mobile phase in the low density solid and a quenched disordered state at high pressure. This finding can be interpreted as the simplest example of correlated disorder in crystalline materials.

    Comment: 15 pages, 4 figures in the main text, 11 figures in the supporting information
    Keywords Condensed Matter - Soft Condensed Matter ; Condensed Matter - Materials Science ; Condensed Matter - Statistical Mechanics
    Subject code 530
    Publishing date 2023-11-12
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Book ; Online: Forte

    Bhattacharjee, Kaustav / Kundu, Soumya / Chakraborty, Indrasis / Dasgupta, Aritra

    An Interactive Visual Analytic Tool for Trust-Augmented Net Load Forecasting

    2023  

    Abstract: Accurate net load forecasting is vital for energy planning, aiding decisions on trade and load distribution. However, assessing the performance of forecasting models across diverse input variables, like temperature and humidity, remains challenging, ... ...

    Abstract Accurate net load forecasting is vital for energy planning, aiding decisions on trade and load distribution. However, assessing the performance of forecasting models across diverse input variables, like temperature and humidity, remains challenging, particularly for eliciting a high degree of trust in the model outcomes. In this context, there is a growing need for data-driven technological interventions to aid scientists in comprehending how models react to both noisy and clean input variables, thus shedding light on complex behaviors and fostering confidence in the outcomes. In this paper, we present Forte, a visual analytics-based application to explore deep probabilistic net load forecasting models across various input variables and understand the error rates for different scenarios. With carefully designed visual interventions, this web-based interface empowers scientists to derive insights about model performance by simulating diverse scenarios, facilitating an informed decision-making process. We discuss observations made using Forte and demonstrate the effectiveness of visualization techniques to provide valuable insights into the correlation between weather inputs and net load forecasts, ultimately advancing grid capabilities by improving trust in forecasting models.

    Comment: Accepted for publication in the proceedings of 2024 IEEE Power & Energy Society Innovative Smart Grid Technologies Conference, North America (ISGT NA)
    Keywords Computer Science - Human-Computer Interaction ; Computer Science - Artificial Intelligence ; Computer Science - Machine Learning ; Electrical Engineering and Systems Science - Signal Processing
    Publishing date 2023-11-10
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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