The ecosystem is confronted with numerous challenges as a consequence of the escalating human population and its corresponding activities. Among these challenges lies the degradation of forest biomass, which directly contributes to a reduction in forested areas and poses a significant threat to the survival of wildlife species through the intensification of intraspecific competition. In this paper, a non-linear mathematical model to study the conservation of forest and wildlife species that are reliant on forest ecosystem within the framework of human population dynamics and its related activities is developed and analysed. The study assessed the impacts of economic measures in the form of incentives on reducing population pressure on forest resources as well as the potential benefits of technological efforts to accelerate the rate of reforestation. Qualitative and quantitative analyses reveals that economic and technological factors have the potential to contribute to resource conservation efforts. However, these efforts can only be used to a limited extent, and contrary to that, the system will be destabilised. Sensitivity analysis identified the parameters pertaining to human population, human activities, economic measures, and technological efforts as the most influential factors in the model.
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http://dx.doi.org/10.1016/j.heliyon.2023.e16948 | DOI Listing |
J Gen Fam Med
January 2025
Department of Primary Care and Medical Education, Institute of Medicine University of Tsukuba Ibaraki Japan.
Background: Chronic periodontal disease primarily causes tooth loss and oral frailty and is linked to chronic conditions such as diabetes mellitus. However, its progression and broader studies on chronic diseases have not been well explored. This study aimed to investigate this association using claims data.
View Article and Find Full Text PDFPatterns (N Y)
December 2024
Medical Robot Research Institute, School of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China.
This study developed an artificial intelligence (AI) system using a local-global multimodal fusion graph neural network (LGMF-GNN) to address the challenge of diagnosing major depressive disorder (MDD), a complex disease influenced by social, psychological, and biological factors. Utilizing functional MRI, structural MRI, and electronic health records, the system offers an objective diagnostic method by integrating individual brain regions and population data. Tested across cohorts from China, Japan, and Russia with 1,182 healthy controls and 1,260 MDD patients from 24 institutions, it achieved a classification accuracy of 78.
View Article and Find Full Text PDFCureus
December 2024
General Surgery, Al-Neelain University, Khartoum, SDN.
Background: Clinical notes are essential for patient care, guiding treatment decisions, and supporting research. This study explores how structured documentation impacts the quality of clinical notes in resource-limited settings like Sudan.
Materials And Methods: This retrospective-prospective clinical audit was conducted in the Internal Medicine Department at Dongola Specialised Hospital.
J Vet Res
December 2024
Department of Parasitology and Invasive Diseases, National Veterinary Research Institute, 24-100 Puławy, Poland.
Introduction: The aim of this study was to estimate the occurrence of spp. and other helminth infections in grey wolves in south-eastern Poland.
Material And Methods: Overall, 74 samples of wolf faeces were examined with a multiplex PCR and a system of real-time quantitative PCR methods to detect and identify spp.
Gut Microbiome (Camb)
June 2024
Department of Systems and Computational Biology, University of Hyderabad, Hyderabad, India.
Human gut microbial species are crucial for dietary metabolism and biosynthesis of micronutrients. Digested products are utilised by the host as well as several gut bacterial species. These species are influenced by various factors such as diet, age, geographical location, and ethnicity.
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