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The effects of nicotine withdrawal on exercise-related physical ability and sports performance in nicotine addicts: a systematic review and meta-analysis
Published 2024-12-01“…Background Previous research has established that nicotine withdrawal can ameliorate cardiovascular and pulmonary function in smokers. Nevertheless, the impact on physical fitness and athletic performance remains under-investigated.Objective To evaluating the impacts of nicotine withdrawal on both exercise performance and exercise-associated physical capabilities in nicotine-dependent individuals.Study design A comprehensive systematic review and meta-analysis.Data sources The data was compiled from databases such as PubMed, Scopus, Web of Science, Cochrane Central, and EBSCO.Study selection The selection criteria required studies to elucidate the effects of nicotine withdrawal on exercise performance or exercise-related physical abilities. …”
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Analysis of microsatellite and single nucleotide polymorphism within transcriptomic database in Cymbidium ensi folium
Published 2014-07-01“…Owing to the lack of its genomic resource, the development and application of molecular marker is still limited. …”
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Impact of low-load blood flow restriction training on knee osteoarthritis pain and muscle strength: a systematic review and meta-analysis of randomized controlled trials
Published 2025-03-01“…This systematic review and meta-analysis aim to comprehensively assess the effects of LL-BFRT compared to conventional resistance training on pain, muscle strength, and functional capacity in individuals with KOA.Data sourcesPubMed, Embase, Web of Science, EBSCO, Scopus, and Cochrane trails were searched.Study selectionWe included randomized controlled trials involving patients with KOA, in which the intervention group underwent LL-BFRT.Data extractionLiterature quality and risk of bias were assessed using the Physiotherapy Evidence Database (PEDro) scale and the Cochrane Risk-of-Bias Tool (ROB 2). …”
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INFORMATION SUPPORT FOR CROWDFUNDING AND INVESTING PROJECTS
Published 2020-09-01“…The following tasks are solved: research of functional possibilities of existing crowdfunding platforms; development and configuration of expansion modules for the selected framework; development of the interface of the financial manager of the project with real estate. …”
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The Colonization of Synthetic Microbial Communities Carried by Bio-Organic Fertilizers in Continuous Cropping Soil for Potato Plants
Published 2024-11-01“…LEfSe analysis showed that the application of BOFs activated some rare species, which were correlated with improvements in the function categories of the tolerance of stress, nitrogen fixation, and saprotroph functions. …”
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Battery Management System: Threat Modeling, Vulnerability Analysis, and Cybersecurity Strategy
Published 2025-01-01“…Unauthorized access or tampering with the BMS can disrupt its fault response mechanisms, jeopardizing system performance and associated resources. Key cybersecurity strategies include intrusion detection systems (IDS), crypto-based authentication, secure firmware updates, and hardware-based security mechanisms such as trusted platform modules (TPMs). …”
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Enhancing epidemic preparedness: a data-driven system for managing respiratory infections
Published 2025-02-01“…Results Key data categories include individual-level variables, such as age, symptoms, and vaccination records, alongside population-level metrics like infection rates and regional vaccination coverage enabling functionalities such as identifying high-risk individuals, tracking infection dynamics, and optimizing resource allocation. …”
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Microbial community structure and diversity of endophytic and rhizosphere of Cypripedium species in Changbai Mountains
Published 2024-01-01“…The diversity of rhizosphere fungi was higher than the diversity of endophytic fungi, C. shanxiense had the highest fungal community richness within four Cypripedium species and predicted that endophytic bacteria had reductive citrate cycle, 3-hydroxypropionate bicycle, and other functions. These endophytes comprise unique Cypripedium plants' microbial community structure in Changbai Mountain (China), providing a direction for further protecting wild Cypripedium resources. …”
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Combining Transcriptome Analysis and Comparative Genomics to Identify Key Components of the Lignin Biosynthesis Gene Network in <i>Sorghum bicolor</i>
Published 2025-07-01“…Sequence analysis revealed a significant reduction in genetic diversity across lignin biosynthesis genes in cultivated sorghum compared to wild sorghum. Moreover, selection signals during domestication were identified in 30 lignin biosynthesis genes, 22 of which were differentially expressed, further supporting the functional relevance of these differentially expressed genes in lignin biosynthesis. …”
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Deep learning approach for automated hMPV classification
Published 2025-08-01“…Despite its clinical relevance, hMPV poses diagnostic challenges due to its symptom similarity with other respiratory illnesses, such as influenza and respiratory syncytial virus (RSV), and the lack of specialized detection systems. Traditional diagnostic methods are often inadequate for providing rapid and accurate results, particularly in low-resource settings. …”
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DETERMINING STUDENT GRADUATION BASED ON SCHOOL LOCATION USING GEOGRAPHICALLY WEIGHTED LOGISTIC REGRESSION
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Credit Rationing Equilibrium Achievement in the Conditions of Digitalization
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Forest age estimation using UAV-LiDAR and Sentinel-2 data with machine learning algorithms- a case study of Masson pine (Pinus massoniana)
Published 2025-05-01“…Therefore, monitoring forest age is a crucial element of forest resource surveys. With the increased availability of high-quality open-access satellite data and advancements in Unmanned Aerial Vehicle Light Detection and Ranging (UAV-LiDAR) technology, remote sensing has emerged as an essential method for acquiring accurate forest age information. …”
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Development of an Algorithm for Semantic Segmentation of Earth Remote Sensing Data to Determine Phytoplankton Populations
Published 2024-09-01“…This is evidenced by small changes in the loss function at the end of training. The segmentation performed by the model turned out to be close to manual marking, which indicated the high quality of the proposed solution. …”
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