Publications by authors named "H N Sharma"

Understanding species distributions and factors influencing them are important for conservation, particularly for species occurring in human-dominated areas. The Indian crested porcupine (Hystrix indica; hereafter porcupine) is distributed southeast and central Asia, however, the porcupine occurrence and habitat use is poorly understood in the area. We deployed cameras at 154 sites for 21 days (3234 trap nights) during December 2022-March 2023 in the human-dominated landscape of Parsa-Koshi Complex (PKC), Madesh Province, Nepal.

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Background & objectives Dengue virus causes frequent outbreaks and epidemics with high morbidity and mortality. It is important to monitor the trends of the dengue virus and its serotypes. We carried out the present work to study the prevalence of the dengue virus and its serotypes in clinically suspected cases of dengue in Rajasthan.

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Background: Total serum immunoglobulin E (TsIgE) has not been examined in children with food allergy.

Objective: Evaluate associations of TsIgE with patient, household, environmental and community-level characteristics among children with food allergy.

Method: Linear mixed effect models of data from 398 Black and/or African American (B/AA) and White and/or European American (W/EA) children with allergist-diagnosed food allergy from the multi-center, observational cohort FORWARD; TsIgE in kU/L was the primary outcome measure.

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Aim Biochemistry includes the elaborate study of various biomolecules and intricate mechanisms that first-year medical students find difficult to understand and retain when taught through didactic lectures. Therefore, this study aims to test the effectiveness of jigsaw as a revision module in increasing the knowledge and retention capacity of students in Biochemistry. Materials and methods Eighty students were enrolled in the study.

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The traditional optimization approaches suffer from certain problems like getting stuck in local optima, low speed, susceptibility to local optima, and searching unknown search spaces, thus requiring reliance on single-based solutions. Herein, an Improved Aquila Optimizer (IAO) is proposed, which is a unique meta-heuristic optimization method motivated by the hunting behavior of Aquila. An improved version of Aquila optimizer seeks to increase effectiveness and productivity.

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