Evaluation of Brain Function Recovery After Traumatic Brain Injury Treatment in a Porcine Model by Cross-Group Temporal–Spatial Correlation Analysis by Wenwu Sun, William Reeves, Madison M. Fagan, Christina B. Welch, Kelly M. Scheulin, Sydney E. Sneed, Todd R. Callaway, Kylee J. Duberstein, Franklin D. West, Qun Zhao

“…To better understand TBI’s impact on brain function and assess the efficacy of treatments, this study uses a novel temporal–spatial cross-group approach with a porcine model, integrating resting-state functional magnetic resonance imaging (rs-fMRI) for temporal and arterial spin labeling for spatial information. …”
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A System Review: Effect of Robot-assisted Training on Improvement of Lower Extremities Function of Stroke Patients in Early Rehabilitation by Xuejing LI, Jiajia WU, Tao YE, Qiang TANG

“…Objective:To systematically review the effect of robot-assisted training on lower extremities function of stroke patients in the early stage of rehabilitation.Methods:We electronically searched databases including PubMed, EMbase, Clinicaltrials.gov, EBSCO, CNKI, and WanFang to collect randomized controlled trials (RCTs) about robot-assisted training for improvement of lower extremities motor and balance function of patients in early stage of stroke (duration<1 month) which published before October 2017. …”
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Secure data transmission through fractal-based cryptosystem: a Noor iteration approach by Deepak Negi, Rajiv Kumar, Vijay Kumar, Arvind Dhaka

“…Abstract The data must be protected from cyber-attacks that benefit from the weaknesses of the databases. …”
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DEVELOPMENT OF NONPARAMETRIC PATH FUNCTION USING HYBRID TRUNCATED SPLINE AND KERNEL FOR MODELING WASTE-TO-ECONOMIC VALUE BEHAVIOR by Usriatur Rohma, Adji Achmad Rinaldo Fernandes, Suci Astutik, Solimun Solimun

“…In addition, this study also aims to test the significance of the best path function obtained. The data used in this study are timer data obtained from the Featured Basic Research Grant. …”
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Machine Learning Models to Predict Individual Cognitive Load in Collaborative Learning: Combining fNIRS and Eye-Tracking Data by Wenli Chen, Zirou Lin, Lishan Zheng, Mei-Yee Mavis Ho, Farhan Ali, Wei Peng Teo

“…This study explored the feasibility of predicting individual learners’ cognitive load during collaborative learning using a combination of functional near-infrared spectroscopy (fNIRS) and eye-tracking data. …”
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Probabilistic Infrastructure Failure Cost Analysis Integrating with Equity Cost Using the Reliability Analysis by Yasaman Norouzi, Seyed Hooman Ghasemi, Mohammad Jalayer

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Effects of childhood trauma on sustained attention in major depressive disorder: the mediating role of brain activity and functional connectivity by Mingfeng Lai, Ping Jiang, Peiwei Xu, Dan Luo, Wenxin Bao, Jing Li, Jiajun Xu

“…Methods We collected resting-state functional magnetic resonance imaging data, and measured childhood trauma severity using the Childhood Trauma Questionnaire and sustained attention using the Continuous Performance Test, Identical Pairs version. …”
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Investigating POU3F4 in cancer: Expression patterns, prognostic implications, and functional roles in tumor immunity by Weiwei Chen, Yaya Ji, Rui Wang, Ruijie Ji, Yujian Lin, Yuhang Wu, Lehan Liu, Tianle Sha, Wen Li, Lei Zhang, Longfei Yang, Xinhua Zhang, Jianxiang Song

“…This study aims to assess the prognostic value of POU3F4 in thirty-three cancers and explore its immune-related functions. Based on data from The Cancer Genome Atlas (TCGA), Cancer Cell Line Encyclopedia (CCLE), Genotype-Tissue Expression (GTE), and Gene Set Cancer Analysis (GSCA), we employed various bioinformatics approaches to investigate the potential carcinogenic effects of POU3F4. …”
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Stochastic Frontier-Based Analysis of Energy Efficiency in Russian Open-Pit Mining Enterprises by Ulvi Rzazade, Sergey Deryabin, Igor Temkin, Aslan Agabubaev

“…Computational experiments have been conducted to compare variants based on the Cobb–Douglas production function and translog function with semi-normal and exponential distribution forms for the same data set. …”
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A risk prediction model for poor joint function recovery after ankle fracture surgery based on interpretable machine learning by Congyang Li, Chenggang Wang, Jiru Zhang, Wenjun Zheng, Jing Shi, Li Li, Xuezhi Shi

“…The lasso-stacking model had the best performance. SHAP analysis showed that functional exercise compliance, combined ligament injury, and open fracture accounted for the largest proportion of SHAP values and were the most important influencing factors.ConclusionThrough evaluation and comparison of the developed models, the lasso-stacking model demonstrated the best performance and is more suitable for predicting joint function recovery after ankle surgery. …”
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Factors associated with the student performance in distance education undergraduate courses: analysis by multiple linear regression by Evangelina de Mello Bastos, Ykaru Gomes Wagner, Marco Aurelio Marques Ferreira, Suely de Fátima Ramos Silveira, Aline Xisto Rodrigues

“…A quantitative approach was employed, and data analysis was conducted using the multiple linear regression technique estimated by Ordinary Least Squares (OLS). …”
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Research on the Evolution Characteristics of Building Space in the Central Urban Area of Tianjin Based on Multi-Source Data Collaboration: 2021–2024 by Yicheng Zhang, Guorui Chen, Xue Yang

“…The methodological innovations include: (1) Analysis of urban function changes based on Point of Interest density; (2) Analysis of urban spatial morphology changes based on the texture of buildings within plots; (3) Spatiotemporal coupling analysis of data. …”
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Hepatitis C virus infection protein network by B de Chassey, V Navratil, L Tafforeau, M S Hiet, A Aublin‐Gex, S Agaugué, G Meiffren, F Pradezynski, B F Faria, T Chantier, M Le Breton, J Pellet, N Davoust, P E Mangeot, A Chaboud, F Penin, Y Jacob, P O Vidalain, M Vidal, P André, C Rabourdin‐Combe, V Lotteau

“…A global analysis on the basis of functional annotation highlighted the enrichment of cellular pathways targeted by HCV. …”
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Correlation Analysis of Macular Function and Peripapillary Retinal Nerve Fiber Layer Thickness Following Successful Rhegmatogenous Retinal Detachment Surgery by María D. Díaz-Barreda, Ana Boned-Murillo, Isabel Bartolomé-Sesé, María Sopeña-Pinilla, Elvira Orduna-Hospital, Guisela Fernández-Espinosa, Isabel Pinilla

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Machine learning-based prediction of 6-month functional recovery in hypertensive cerebral hemorrhage: insights from XGBoost and SHAP analysis by Menghui He, Zhongsheng Lu, Yiwei Lv, Zihai Cheng, Qiang Zhang, Xiaoqing Jin, Pei Han

“…This study compared the predictive efficacy of multiple machine learning models to identify the optimal model for forecasting long-term prognosis in HICH patients.MethodsWe conducted a retrospective analysis of clinical data from 807 HICH patients admitted to Qinghai Provincial People's Hospital's Neurosurgery Department between June 2020 and June 2024. …”
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Effect of oral and transdermal oestrogen therapy on bone mineral density in functional hypothalamic amenorrhoea: a systematic review and meta-analysis by Knut Stavem, Michael Bjørn Russell, Aleksander Chaibi, Karoline Aalberg, Frode Norheim

“…Background Female athletes might develop reduced bone mineral density (BMD) and amenorrhoea due to low energy intake.Objective To systematically review the literature of randomised controlled trials (RCTs) assessing the effect of oestrogen oral contraceptives (OCP), conjugated oestrogens (CE) and transdermal estradiol (TE) on BMD in premenopausal women with functional hypothalamic amenorrhoea (FHA) due to weight loss, vigorous exercise and/or stress.Methods A comprehensive literature search in PubMed, MEDLINE, Cochrane Library, Ovid and CINAHL from inception to 1 October 2020.Data extraction and synthesis Two authors independently extracted data. …”
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Graph theory analysis reveals functional brain network alterations in HIV-associated asymptomatic neurocognitive impairment in virally suppressed homosexual males by Xire Aili, Shuai Han, Juming Ma, Jiaojiao Liu, Wei Wang, Chuanke Hou, Xingyuan Jiang, Haixia Luo, Fan Xu, Ruili Li, Hongjun Li

“…Abstract Background This study aimed to investigate the global and nodal functional network alterations, abnormal connections of brain regions, and potential imaging biomarkers in virally suppressed people living with HIV (PLH) with asymptomatic neurocognitive impairment (ANI) using graph theory analysis. …”
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Illness (self) management, clinical and functional recovery as determinants of personal recovery in people with severe mental illnesses: A mediation analysis. by Bert-Jan Roosenschoon, Mathijs L Deen, Jaap van Weeghel, Astrid M Kamperman, Cornelis L Mulder

“…We used mediation analysis to describe pathways between changes in illness management (assessed using the Illness Management and Recovery scale client version) and changes in personal recovery (assessed using the Mental-Health Recovery Measure), mediated by changes in clinical (assessed using the Brief Symptom Inventory) and functional recovery (assessed using the Social Functioning Scale). …”
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Evaluating the Functionality of a Field-Based Test Battery for the Identification of Risk for Anterior Cruciate Ligament Injury: An Exploratory Factor Analysis by Charis Tsarbou, Nikolaos I. Liveris, Sofia A. Xergia, George Papageorgiou, Vasileios Sideris, Giannis Giakas, Elias Tsepis

“…This study investigates the interrelationships between elements of an experimental field-based test battery during pre-season assessment (PA), with the purpose of enhancing comprehension of the underlying structure of the assessed variables and suggesting guidelines for the tests incorporated in a PA. (2) Methods: Sixty-two professional football athletes performed a PA, including isometric muscle strength, triple hop and core stability tests, the LESS, and evaluation of landing performance through kinetic and electromyographic data. (3) Results: For the dominant lower limb, the factor analysis resulted in six factors, explaining 79.04% of the variance including core stability, ground reaction forces, dynamic balance, hamstrings strength, quadriceps–hamstring EMG ratio, and quadriceps performance. …”
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Long-read microbial genome assembly, gene prediction and functional annotation: a service of the MIRRI ERIC Italian node by Sandro Gepiro Contaldo, Sandro Gepiro Contaldo, Antonio d’Acierno, Lorenzo Bosio, Francesco Venice, Elisa Li Perottino, Janneth Estefania Hoyos Rea, Giovanna Cristina Varese, Francesca Cordero, Francesca Cordero, Marco Beccuti, Marco Beccuti

“…However, genome reconstruction and annotation remain computationally demanding and technically complex.ResultsWe introduce a bioinformatics platform designed explicitly for long-read microbial sequencing data to address these challenges. Developed as a service of the Italian MIRRI ERIC node, the platform provides a comprehensive solution for analyzing both prokaryotic and eukaryotic genomes, from assembly to functional protein annotation. …”
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