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  1. Article ; Online: Odonata (Insecta) Communities in a Lowland Mixed Mosaic Forest in Central Kalimantan, Indonesia

    Jorian A. Hendriks / Mariaty / Siti Maimunah / Namrata B. Anirudh / Brendan A. Holly / Roy H. J. Erkens / Mark E. Harrison

    Ecologies, Vol 4, Iss 6, Pp 55-

    2023  Volume 73

    Abstract: Assessing a taxon’s response to change in environmental variables is fundamental knowledge to understanding trends in species diversity, abundance, and distribution patterns. This is particularly needed on Borneo, where knowledge on Odonata populations ... ...

    Abstract Assessing a taxon’s response to change in environmental variables is fundamental knowledge to understanding trends in species diversity, abundance, and distribution patterns. This is particularly needed on Borneo, where knowledge on Odonata populations in different habitats is poor. To address this gap, we present the first study investigating the relationship between morphology and species distribution of Odonata communities in a heath (kerangas)-dominated mixed-mosaic-lowland forest in southern Borneo. We sampled 250-m line transects in three habitat types: mixed peatcswamp, kerangas, and low-pole peatcswamp, with weekly surveys from December 2019 to February 2020. A total of 309 individuals were detected from 25 species. Anisoptera and Zygoptera diversity was the highest in mixed peatcswamp and lowest in low pole, while abundance was the highest in low pole and lowest in kerangas; with kerangas notably harboring a very small sample size. Odonata community assemblages differed most between mixed peat swamp and low pole. Morphological data were compared between suborders and habitats. Anisoptera showed significantly larger thoraces, hindwings, and hindwing-to-body ratio than Zygoptera. Anisoptera in low pole were significantly smaller in body, thorax, and hindwing compared to both kerangas and mixed peat swamp. Anisoptera showed a strong association with pools and Zygoptera with flowing water. Heterogeneity, habitat characteristics, presence of specialists, body size, and the interaction between species’ morphological traits and habitat characteristics likely explained the trends observed.
    Keywords anisoptera ; abundance ; ecophysiology ; dispersal ; diversity ; habitat-heterogeneity ; Ecology ; QH540-549.5
    Subject code 580
    Language English
    Publishing date 2023-01-01T00:00:00Z
    Publisher MDPI AG
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  2. Article: Littoral Cell Angioma: A Rare Cause of Pediatric Thrombocytopenia.

    Jasani, Mitul / Shah, Anirudh / Shah, Amar

    Journal of Indian Association of Pediatric Surgeons

    2018  Volume 23, Issue 3, Page(s) 156–157

    Abstract: Littoral cell angioma is a rare primary splenic vascular tumor, originating from the littoral cells lining the red pulp sinuses of the spleen, with variable presentation. Here, we present the case of a 2-year-old male child presenting with chronic ... ...

    Abstract Littoral cell angioma is a rare primary splenic vascular tumor, originating from the littoral cells lining the red pulp sinuses of the spleen, with variable presentation. Here, we present the case of a 2-year-old male child presenting with chronic thrombocytopenia which resolved after splenectomy.
    Language English
    Publishing date 2018-07-17
    Publishing country India
    Document type Case Reports
    ZDB-ID 2164528-0
    ISSN 1998-3891 ; 0971-9261
    ISSN (online) 1998-3891
    ISSN 0971-9261
    DOI 10.4103/jiaps.JIAPS_214_17
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article ; Online: Mathematical modeling and the transmission dynamics in predicting the Covid-19 - What next in combating the pandemic.

    Anirudh, A

    Infectious Disease Modelling

    2020  Volume 5, Page(s) 366–374

    Abstract: Mathematical predictions in combating the epidemics are yet to reach its perfection. The rapid spread, the ways, and the procedures involved in containment of a pandemic demand the earliest understanding in finding solutions in line with the habitual, ... ...

    Abstract Mathematical predictions in combating the epidemics are yet to reach its perfection. The rapid spread, the ways, and the procedures involved in containment of a pandemic demand the earliest understanding in finding solutions in line with the habitual, physiological, biological, and environmental aspects of life with better computerised mathematical modeling and predictions. Epidemiology models are key tools in public health management programs despite having a high level of uncertainty in each one of these models. This paper describes the outcome and the challenges of SIR, SEIR, SEIRU, SIRD, SLIAR, ARIMA, SIDARTHE, etc models used in prediction of spread, peak, and reduction of Covid-19 cases.
    Keywords covid19
    Language English
    Publishing date 2020-06-30
    Publishing country China
    Document type Journal Article
    ZDB-ID 3015225-2
    ISSN 2468-0427 ; 2468-2152
    ISSN (online) 2468-0427
    ISSN 2468-2152
    DOI 10.1016/j.idm.2020.06.002
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: COVID-19, services trade and greenfield investment in ASEAN+6.

    Shingal, Anirudh

    The World economy

    2022  

    Abstract: Given the importance of services for economic activity in general and the salience of reducing service link costs for overcoming the economic and health challenges emanating from COVID-19, we examine the effect of the pandemic on services trade in the ... ...

    Abstract Given the importance of services for economic activity in general and the salience of reducing service link costs for overcoming the economic and health challenges emanating from COVID-19, we examine the effect of the pandemic on services trade in the original group of ASEAN+6 countries that began negotiating the RCEP agreement. Stylised facts show that ASEAN+6 commercial services' exports and imports declined by 19.7% and 22.1%, respectively, on a YoY basis during 2020, with considerable heterogeneity across countries and sectors. ASEAN+6 announced greenfield investment in services also fell by a third during 2020, with the intra-ASEAN+6 decline being more severe at 41.8%. Meanwhile, structural gravity estimates suggest that the stringency of containment measures imposed in the wake of the pandemic may have reduced ASEAN+6 services exports by 61.6%.
    Language English
    Publishing date 2022-06-23
    Publishing country England
    Document type Journal Article
    ZDB-ID 1473825-9
    ISSN 1467-9701 ; 0378-5920
    ISSN (online) 1467-9701
    ISSN 0378-5920
    DOI 10.1111/twec.13304
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Exploring the role of large language models in radiation emergency response.

    Chandra, Anirudh / Chakraborty, Abinash

    Journal of radiological protection : official journal of the Society for Radiological Protection

    2024  Volume 44, Issue 1

    Abstract: In recent times, the field of artificial intelligence (AI) has been transformed by the introduction of large language models (LLMs). These models, popularized by OpenAI's GPT-3, have demonstrated the emergent capabilities of AI in comprehending and ... ...

    Abstract In recent times, the field of artificial intelligence (AI) has been transformed by the introduction of large language models (LLMs). These models, popularized by OpenAI's GPT-3, have demonstrated the emergent capabilities of AI in comprehending and producing text resembling human language, which has helped them transform several industries. But its role has yet to be explored in the nuclear industry, specifically in managing radiation emergencies. The present work explores LLMs' contextual awareness, natural language interaction, and their capacity to comprehend diverse queries in a radiation emergency response setting. In this study we identify different user types and their specific LLM use-cases in radiation emergencies. Their possible interactions with ChatGPT, a popular LLM, has also been simulated and preliminary results are presented. Drawing on the insights gained from this exercise and to address concerns of reliability and misinformation, this study advocates for expert guided and domain-specific LLMs trained on radiation safety protocols and historical data. This study aims to guide radiation emergency management practitioners and decision-makers in effectively incorporating LLMs into their decision support framework.
    MeSH term(s) Humans ; Artificial Intelligence ; Emergencies ; Reproducibility of Results ; Language ; Industry
    Language English
    Publishing date 2024-02-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 639411-5
    ISSN 1361-6498 ; 0952-4746
    ISSN (online) 1361-6498
    ISSN 0952-4746
    DOI 10.1088/1361-6498/ad270c
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article ; Online: Socioeconomic Status and Postoperative Emergency Department Visits.

    Dhawan, Ravi / Bikmal, Anirudh

    JAMA surgery

    2024  

    Language English
    Publishing date 2024-02-21
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2701841-6
    ISSN 2168-6262 ; 2168-6254
    ISSN (online) 2168-6262
    ISSN 2168-6254
    DOI 10.1001/jamasurg.2023.8007
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article: Was non-utilisation of computed tomography as a public health tool a costly lapse in closing the pandemic?

    Kohli, Anirudh

    The Indian journal of radiology & imaging

    2021  Volume 31, Issue Suppl 1, Page(s) S1–S3

    Language English
    Publishing date 2021-01-23
    Publishing country Germany
    Document type Editorial
    ZDB-ID 605869-3
    ISSN 0971-3026 ; 0970-2016
    ISSN 0971-3026 ; 0970-2016
    DOI 10.4103/ijri.IJRI_978_20
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Article: AI in Medical Imaging: Current and Future Status-Artificial Intelligence or Augmented Imaging?

    Kohli, Anirudh

    The Indian journal of radiology & imaging

    2021  Volume 31, Issue 3, Page(s) 525–526

    Language English
    Publishing date 2021-11-13
    Publishing country Germany
    Document type Editorial
    ZDB-ID 605869-3
    ISSN 0971-3026 ; 0970-2016
    ISSN 0971-3026 ; 0970-2016
    DOI 10.1055/s-0041-1740168
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article: HRCT Surrogate for Vaccine Efficacy?

    Kohli, Anirudh

    The Indian journal of radiology & imaging

    2021  Volume 31, Issue 2, Page(s) 243–244

    Language English
    Publishing date 2021-09-15
    Publishing country Germany
    Document type Editorial
    ZDB-ID 605869-3
    ISSN 0971-3026 ; 0970-2016
    ISSN 0971-3026 ; 0970-2016
    DOI 10.1055/s-0041-1736127
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article: COVID-19 pneumonia-residual changes on CT scan are they all fibrosis.

    Kohli, Anirudh

    The Indian journal of radiology & imaging

    2021  Volume 30, Issue 4, Page(s) 415–419

    Language English
    Publishing date 2021-01-13
    Publishing country India
    Document type Editorial
    ZDB-ID 605869-3
    ISSN 0971-3026 ; 0970-2016
    ISSN 0971-3026 ; 0970-2016
    DOI 10.4103/ijri.IJRI_4_21
    Database MEDical Literature Analysis and Retrieval System OnLINE

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