Impact of pulmonary rehabilitation in sleep in COPD patients measured by actigraphy. by Suman B Thapamagar, Kathleen Ellstrom, James D Anholm, Ramiz A Fargo, Nagamani Dandamudi

“…Paired comparisons (t-test or Wilcoxon-signed-rank test) were performed before and after PR data on all variables.<h4>Methods</h4>This retrospective study of COPD patients undergoing PR utilized actigraphy watch recordings before and after 8-weeks of PR to assess changes in sleep variables including total time in bed (TBT), total sleep time (TST), sleep onset latency (SOL), sleep efficiency (SE), wakefulness after sleep onset (WASO) and total nocturnal awakenings. …”
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An Analysis of Influential Factors in the Use of Public Bicycles in Tehran by Ehsan Faghihi, Mojtaba Rafieian

“…So far, many researches have been conducted on the components affecting the functional stability of the shared bicycles system, for example Si et al. in 2020 found that factors of efficiency, economic benefits, environmental awareness, and infrastructure incentives influence the willingness to use the shared bicycle system. …”
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A differential diagnostic model based on immunological evaluation and routine laboratory tests: distinguishing multiple myeloma from other disorders with aberrant immunoglobulin el... by Manning Li, Sixun Jia, Han Wu, Chunyi Shou, Xiaolu Song, Ye Peng, Huafang Wang, Ying Wang, Xiangmin Tong, Yirui Chen

“…Laboratory indicators, including complete blood count, biochemistry, coagulation function, and immunoglobulin markers, were collected. …”
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New Patient PROMIS Scores of Patients Presenting with Low Back Pain Predict Time to Elective Spine Surgery by Justin E. Kung, Chase Gauthier, Yianni Bakaes, Michael Spitnale, Richard A. Bidwell, David G. Edelman, Heidi C. Ventresca, J. Benjamin Jackson, Shari Cui, Gregory Grabowski

“…A chart review was conducted to collect sociodemographic variables, clinic visit details, and PROMIS domain scores (PF [Physical Function], PI [Pain Interference], Depression, and Global Health―Physical and Global Health―Mental). …”
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Evaluation of oral health-related quality of life in burn survivors: A cross-sectional study by Hetal Amipara, Rakesh Kain, Shalabh Kumar

“…Purpose: The face, crucial to identity, is susceptible to the functional and psychological impact of burn injuries. …”
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Effect of Gratitude on Mental Health with Mediating Role of Positive and Negative Affect by Malihe Shakerifard, Ali Mohamadzadeh Ebrahimi, Tayebe Rahimi Pordanjani

“…Evaluating the proposed model was conducted in Amos 24 and SPSS 24 software through the Pearson correlation coefficient, the structural equation model, and the bootstrap method. …”
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Regional calibration of ecosystem service valuation under climate and tourism influences: a case study in subtropical Longyan, China by Hui Li, Enhao Chen, Shenglong Lin, Liang Cheng, Guofang Zhang

“…Abstract Precise evaluation of ecosystem service value (ESV) under climate variability is essential for supporting regional ecological management. …”
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Predicting Kinematic Viscosity and Cetane Number of Diesel- Biodiesel Blend Using Neural Network and Empirical Models by M. yari, Gh. Moradi, M. Abdolmaleki, Sh. Bashiri

“…This study tries to estimate two substantial properties of blend, i.e. kinemattic viscosity (KV) and cetane number (CN), through neural network (NN) and empirical models which use pure properties of biodiesel (kinematic viscosity, boiling point, evaporation point, flash point, pour point, heat of combustion, cloud point, and specific gravity) as independent variables. In this regard, a three-layer feed-forward network with varying input parameters, training algorithms, transfer functions, and hidden neurons has been examined to predict the KV and CN of the diesel-biodiesel blend. …”
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Non-Destructive Detection of Soybean Storage Quality Using Hyperspectral Imaging Technology by Yurong Zhang, Wenliang Wu, Xianqing Zhou, Jun-Hu Cheng

“…The optimal model was used to visualize the dynamic distribution of these values. (3) Results: the crude fatty acid values exhibited a positive correlation with storage time, functioning as a direct indicator of soybean quality. …”
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Optimization Design of Fast Neutron Target Station Beam Extraction Based on Genetic Algorithm by QIN Ziqian1, 2, 3, TAN Xinjian2, 3, ZHANG Xiaodong2, 3, PAN Qingquan1, LIU Xiao2, 3

“…Therefore, the aforementioned parameters are used as variables, and the three important indicators are taken as the objective function. …”
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‘‘Practices and factors affecting on-site medical equipment maintenance at Wau Teaching Hospital, South Sudan’’ by Natale Massimino Ucin, Manassé Nimpagaritse, Shital Mahindra Maru, Mulatedzi Makhado, Shiferaw Mitiku Tebeka

“…Abstract Background of the study Along with developments in the clinical domain, medical equipment is becoming more sophisticated, and it needs to function at peak efficiency. In this case, hospitals should priorities the prompt and effective maintenance of life-saving equipment. …”
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Effect of Central Motor and Neuromuscular Impairments on Front Crawl Body Roll Characteristics of Para Swimmers by Yu-Hsien Lee, Dawn Nicola O’Dowd, Luke Hogarth, Brendan Burkett, Carl Payton

“…CMNI swimmers were divided into three upper-limb [mild (n = 9), moderate (n = 9), severe (n = 9)] and three lower-limb function subgroups [bilateral (n = 2), unilateral (n = 6), without kick (n = 19)] based on their Froude efficiency (a measure of how effectively upper limbs contribute to propulsion) and the number of lower limbs actively kicking during trials, respectively. …”
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Enhancing epidemic preparedness: a data-driven system for managing respiratory infections by Moslem Sarani, Katayoun Jahangiri, Manoochehr Karami, Mohammadreza Honarvar

“…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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Enhanced prediction of heating value of municipal solid waste using hybrid neuro-fuzzy model and decision tree-based feature importance assessment by Oluwatobi Adeleke, Obafemi O. Olatunji, Tien-Chien Jen, Iretioluwa Olawuyi

“…The outcome of the study enhances WTE systems, facilitating more efficient and sustainable energy recovery from MSW.…”
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Prediction of suicidal attempts among Chinese adolescents with mood disorders: a clinical study using a machine learning approach by Jianbing Li, Yinqiu Zhao, Chi Yang, Wenqing Li, Zhihao Huang, Changhe Fan

“…However, there is a need for studies of accurate and efficient SA models specifically for use in adolescents with mood disorders due to a lack of existing research integrating risk variables when predicting clinical SA. …”
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The modern concept of cognitive reserve by N. N. Koberskaya, G. R. Tabeeva

“…The main forms of cognitive impairment (CI) are characterized by a significant variability in the relationship between morphological changes and clinical manifestations. …”
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Principal networks. by Jonathan D Clayden, Michael Dayan, Chris A Clark

“…Graph-theoretic measures of network cost and efficiency may be calculated separately for each principal network. …”
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Removal of caffeine from aqueous solution by green approach using Ficus Benjamina zero-valent iron/copper nanoparticles by Hossam Mohammed Abdel-Aziz, Rabie Saad Farag, Soha Ali Abdel-Gawad

“…Overall, FB-Fe/Cu is a committed green substance for removal Caffeine from aqueous solutions. Functional parameters affect investigated using the Linear regression analysis, we found them to account for over 98% of the variables affecting the removal procedure.…”
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Beyond Collaboration: The Impact of Partner Knowledge, Relational Skills, and Internal Communication on SME’s Performance by Marsiana Setiarini

“…This finding confirms that effective network capability management can improve competitiveness, operational efficiency, and innovation in SME Performance. …”
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On the approximation of sum of lognormal for correlated variates and implementation. by Asyraf Nadia Mohd Yunus, Nora Muda, Abdul Rahman Othman, Sonia Aïssa

“…Using Monte Carlo simulations with 5, 15, 25, and 30 samples and correlation coefficients of 0.3, 0.6, and 0.9, we compared Type I error rates through Anderson-Darling goodness-of-fit tests. …”
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