https://scientific-reports.com/index.php/srls/issue/feedScientific Reports in Life Sciences2024-11-22T00:54:42+03:00Assistant prof. Dr Rahim Abdolkarimi (Director in charge)-Editorial office physical address, editor@scientific-reports.comOpen Journal Systems<div class="flex flex-grow flex-col gap-3 max-w-full"> <div class="min-h-[20px] flex flex-col items-start gap-3 whitespace-pre-wrap break-words overflow-x-auto" data-message-author-role="assistant" data-message-id="c2ffc01d-5508-461d-bfee-336da59a60f5"> <div class="markdown prose w-full break-words dark:prose-invert light"> <p><strong>Scientific Reports in Life Sciences</strong> (SRLS), (ISSN: 2718-1014), is a globally recognized, double-blind review, multidisciplinary, quarterly periodical. It encompasses a wide spectrum of subjects <strong>spanning Biology (all organisms), Biodiversity, Evolution and Population Genetics, Genetics, Biological Anthropology, Botany, Medical Sciences, Veterinary Sciences, Biometry, Cytogenetics, Genetic Epidemiology, Molecular ecology, Wildlife ecology, and diverse aspects of Biodiversity conservation</strong>. Established in 2020 by the Biodiversity Conservation Society, SRLS actively encourages and invites contributions in the form of reviews, editorials, original research papers, and brief notes across these mentioned fields. All submissions should be in English and are welcomed from any geographical location. The journal is committed to upholding high standards of excellence in publishing research related to both marine and terrestrial life sciences. We also cover the following fields as well: <strong>Medicine:</strong> Research related to the diagnosis, treatment, and prevention of disease. This can include clinical studies, health outcomes research, and medical innovations.</p> <p><strong>Public Health:</strong> Studies focused on the health of populations, including epidemiology, health policy, education, and preventive measures.</p> <p><strong>Biomedical Sciences:</strong> Research that combines biological and medical sciences to improve understanding of human health and disease, often involving cellular and molecular biology.</p> <p><strong>Pharmacology:</strong> The study of drug action, where researchers develop and assess pharmaceuticals and other therapeutic products.</p> <p><strong>Neuroscience:</strong> The study of the nervous system, including brain functioning, neurodegenerative diseases, and mental health disorders.</p> <p><strong>Nutrition and Dietetics:</strong> Research concerning diet and human health, including the role of nutrition in disease prevention and management.</p> <p><strong>Genomic Medicine:</strong> The application of genomic information and technologies to predict, diagnose, and treat disease.</p> <p><strong>Immunology:</strong> The study of the immune system, including research related to autoimmune diseases, vaccinations, and immune responses.</p> <p><strong>Molecular Medicine:</strong> An interdisciplinary approach that uses physical, chemical, biological, and medical techniques to describe molecular structures and mechanisms, identify molecular and genetic errors of disease, and develop interventions.</p> <p><strong>Regenerative Medicine:</strong> The field of medicine that develops methods to regrow, repair, or replace damaged or diseased cells, organs, or tissues.</p> <p>Since September 2022, SRLS has followed the APA 7th edition for citations and references. It's worth noting that the Conclusion section has been excluded from the manuscript structure.</p> <p>Furthermore, it's important to emphasize that SRLS is a fully open-access journal, and it does not impose any charges, from the initial submission process to the ultimate publication of research work.</p> </div> </div> </div>https://scientific-reports.com/index.php/srls/article/view/163Two rare reptile species' destinies are entangled with human superstition2024-08-17T10:12:41+03:00Suman Pratiharpratihar_vu@rediffmail.comPabitra Mahatapabitramahata121@gmail.comManas Bhuniabhuniamanas2026@gmail.comChandan Dandapatcdandapat914@gmail.com<p>This study explores the critical conservation status of two scarce reptile species in West Bengal, India: the Yellow Monitor (<em>Varanus flavescens</em>) and the East Indian Leopard Gecko (<em>Eublepharis hardwickii</em>). Both species face dire threats due to human superstitions and beliefs, which have led to significant exploitation and habitat destruction. The Yellow Monitor, predominantly inhabiting wetland areas, is often victimized for its perceived magical properties and culinary value. At the same time, the East Indian Leopard Gecko is targeted for its supposed medicinal benefits despite the absence of scientific backing. Through systematic seasonal surveys in critical habitats, we documented the occurrences and behaviors of both species, revealing the urgent need for enhanced public awareness and conservation efforts. The research underscores the importance of addressing human misconceptions about these reptiles, promoting their ecological significance, and establishing effective conservation strategies to mitigate threats from habitat loss and wildlife trade. Additionally, we advocate for regional collaboration and community engagement in wildlife protection initiatives to secure a sustainable future for these vulnerable species.</p>2024-11-22T00:00:00+03:00Copyright (c) 2024 Scientific Reports in Life Scienceshttps://scientific-reports.com/index.php/srls/article/view/161The first record of a medicinal plant species Boerhavia repens L. (Nyctaginaceae) from Libya2024-07-15T08:37:21+03:00Sh-hoob El-AhamirShhoob.Elhmir@gu.edu.lyKhaleefah Salem Imohammed yazar@yahoo.com<p>A new record for <em>Boerhavia repens </em>L is recorded for the first time in the flora of Libya. This widespread wild weed was collected from the Ariggiba region (110 Km west-south Sabha city). To facilitate further identification and future detection, a full description, habitat information, distribution map, and distribution data are provided. A brief discussion about the most important threats posed by this species is presented.</p>2024-11-22T00:00:00+03:00Copyright (c) 2024 Scientific Reports in Life Scienceshttps://scientific-reports.com/index.php/srls/article/view/137High altitude conflict between humans and wildlife in a cold desert area of Spiti, Himachal Pradesh2024-05-07T12:09:45+03:00Jayant Guptaguptajayant49@gmail.comAfaq Majid Waniyazar@yahoo.com<p>To conserve wildlife and lessen conflicts between people and animals, it is crucial to have a thorough understanding of these relationships. This study attempts to evaluate and identify the interactions between people and wildlife in the cold desert region of Spiti, Himachal Pradesh, as well as the harm that wildlife does to people and how people perceive wildlife in this region. Wildlife-related issues and human-made solutions to them were discovered during the field trip in the Cold desert area of Spiti. In the Cold desert area of Spiti, wildlife became essential to growth and a major source of income for the locals. From 2017 to 2022, there was no wildlife poaching or killing, and there were no human casualties brought on by the wildlife in the area. Due to the sparse vegetation in the Spiti Cold Desert Area, there is significant competition for resources between wild herbivores and livestock. NCF is doing a great job by encouraging locals to protect wildlife and offering insurance to residents against livestock damage caused by wild animals. In the Cold Desert area of Spiti, the government compensates for agricultural loss and animal damage caused by wildlife. The study's findings indicate that although the wildlife in the Cold desert area of Spiti is secure from humans, it may be in danger because of rising tourism and climate change.</p>2024-11-22T00:00:00+03:00Copyright (c) 2024 Scientific Reports in Life Scienceshttps://scientific-reports.com/index.php/srls/article/view/157Enhancing Pine Growth: A Meta-Analysis of Fertilizer and Treatment Effects on Pine Species2024-07-01T08:37:53+03:00Mohd Imran Hossain Chowdhurychowdhuryjisan113@gmail.comMd. Faridul Alam Shoronyazar@yahoo.com<p>This meta-analysis examines the growth dynamics of various <em>Pinus</em> species in response to different fertilization and environmental management strategies. Incorporating data from 65 studies and using the Restricted Maximum Likelihood (REML) method, the model evaluates fit metrics, including log-likelihood, deviance, AIC, and BIC. Key findings reveal no residual heterogeneity or moderation effects, indicating the model's robustness. Fertilizer treatments, particularly Basacote for <em>P. elliottii</em> and fast-release nitrogen for <em>P. ponderosa</em>, significantly enhance growth, achieving up to 40% and 30% increases, respectively. <em>P. strobus</em> benefits more from environmental interventions like tree shelters. Species-specific responses and significant heterogeneity underscore the need for tailored forest management practices. Meta-regression highlights species and fertilizer type as substantial moderators. This study advocates for customized fertilization and environmental strategies to optimize growth and sustainability in pine species, providing valuable insights for forestry management and conservation efforts.</p>2024-11-22T00:00:00+03:00Copyright (c) 2024 Scientific Reports in Life Scienceshttps://scientific-reports.com/index.php/srls/article/view/138Detection of Blood parasites (Trypanosoma spp) in Nile Tilapia (Oreochromis niloticus Linnaeus, 1758) in Zobe Reservoir, Katsina State2024-04-17T23:16:56+03:00Mustapha Amadu Sadaukimasadauki@fudutsinma.edu.ngHadiza Yakubu Bakoyazar@yahoo.comIsmail Badamasiyazar@yahoo.com<p>A Three (3) months survey was done to detect the prevalence of blood parasites on <em>Oreochromis niloticus</em> from Zobe Reservoir, Katsina State, Nigeria. A total of 108 fish samples were randomly selected comprising male and female. Experimental fish samples were purchased from four major landing sites of the reservoir from July to September 2023. The fish were transported alive to the Fish Biology Laboratory, Federal University Dutsin-Ma, for the blood parasites inspection. Fish were identified at each of the four landing sites of the reservoir. Samples of fish were measured for length and weighed. Blood parasites were identified and counted. Blood parasites were different in size, shape, and staining reaction. Male samples had a higher percentage of infestation (6.82<strong>%</strong>) than female samples (5.00<strong>%</strong>). The highest prevalence was recorded in sample location C while the lowest was recorded in sample location B, while<em> Oreochromis niloticus </em>was free from trypanosomes this could be due to the absence of bloodsuckers in the sample location.</p>2024-11-22T00:00:00+03:00Copyright (c) 2024 Scientific Reports in Life Scienceshttps://scientific-reports.com/index.php/srls/article/view/165Mathematical modeling of Gorilla Gorilla Delhi population in cross river state, Nigeria2024-08-28T13:22:25+03:00Pius Okookopius@unical.edu.ngDaniel Jacobdanieljacob@uniuyo.edu.ngSimon Okwecheidokosi@unical.edu.ngImaobong Jacobimmanelcin1@gmail.com<p>This study investigates various mathematical models to ascertain their suitability for predicting gorilla population dynamics over three decades in Cross River State, Nigeria. Models including linear, quadratic, exponential, logarithmic, power law, logistic growth, polynomial, sinusoidal, and piecewise linear were evaluated based on their R<sup>2</sup> (coefficient of determination) and SSE (sum of squared errors) metrics. The analysis, conducted using historical gorilla population data from 1990 to 2020, aimed to identify the model that best captures the observed growth patterns and fluctuations in the gorilla population. Among the models tested, the piecewise linear model emerged as the most effective, achieving the highest R<sup>2</sup> of 0.966 and the lowest SSE of 71,866.8. This model's segmented approach accommodates shifts in growth rates over distinct time intervals, reflecting real-world ecological dynamics influenced by environmental factors and conservation efforts. In contrast, models such as the power law exhibited poor performance due to a significant overestimation of gorilla populations, highlighting their limited applicability in ecological studies. Understanding these dynamics through effective modeling not only enhances our ability to predict future population trends but also informs strategic conservation initiatives aimed at ensuring the long-term viability of gorilla populations in their natural habitats. This research underscores the importance of robust mathematical modeling in wildlife management and conservation decision-making processes.</p>2024-11-22T00:00:00+03:00Copyright (c) 2024 Scientific Reports in Life Sciences