A Gradient Boosting Crash Prediction Approach for Highway-Rail Grade Crossing Crash Analysis by Pan Lu, Zijian Zheng, Yihao Ren, Xiaoyi Zhou, Amin Keramati, Denver Tolliver, Ying Huang

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ESTIMATING PRIVATE FINANCIAL RETURN ON INVESTMENT IN EDUCATION IN TANGAIL CITY: A MINCERIAN MODEL ANALYSIS by Kazi Tabassum, Muhammad Rabiul Islam Liton

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Biomarker profile of a Chinese ALS cohort: A comprehensive clinical-biomarkers-imaging analysis by Youliang Wang, Jie Lin, Yongqiang Qu, Ying Ding, Zhixian Ye, Zhibao Zhu, Wei Chen, Zhili Chen, Huamei Sun, Fangwei Hu, Chaohan Chen, Ling Fang, Rui Li, Bo Zhang, Ning Wang, Ying Fu, Wanjin Chen, Qijie Zhang

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Acupuncture for stroke survivors with cardiovascular comorbidities: protocol of a pooled analysis of randomized controlled trials by Lanfang Zhang, Lanfang Zhang, Lanfang Zhang, Zubing Mei, Zhenhua Xu

“…This protocol outlines a pooled analysis of randomized controlled trials (RCTs) aimed at evaluating the effectiveness and safety of acupuncture in improving neurological function, quality of life, and reducing stroke recurrence in stroke survivors with cardiovascular comorbidities.Methods and analysisThis pooled analysis will adhere to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. …”
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Effects of Baduanjin exercise on cognitive impairment in older adults: a systematic review and meta-analysis by Xiao-Gang Gong, Le-Peng Wang, Ling-Ling Yang, Feng Liu, Dao-Ning Zhang, A-Yuan Zhang, A-Yuan Zhang

“…Two reviewers independently conducted trial selection, assessed methodological quality using the Cochrane Risk of Bias tool, and extracted data in accordance with PRISMA guidelines. Seven RCTs involving 539 community-dwelling older adults met the inclusion criteria.ResultsBaduanjin exercise significantly improved global cognitive function [mean difference (MD) = 2.15; 95% CI, 1.53 to 2.76; p < 0.00001], memory (standardized mean difference = 0.59; 95% CI, 0.38 to 0.80; p < 0.00001), executive function (SMD = 0.26; 95% CI, 0.07 to 0.44; p = 0.007), and physical health (MD = −0.86; 95% CI, −0.26 to −0.46; p < 0.00001). …”
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Machine learning applied to mild cognitive impairment: bibliometric and visual analysis from 2015 to 2024 by Huan Liu, Qing Huo, Qing Huo, Qing Huo, Feng Li, Xu Luo, Renli Deng

“…Literature and keyword analysis indicate that MCI prediction, automated monitoring of MCI, continuous evaluation and remote monitoring of cognitive function in individuals with MCI, and interdisciplinary data integration and personalized medicine are current research hotspots and development directions.ConclusionThis study is the first to use bibliometric methods to visualize and analyze the application field of machine learning in MCI, revealing research trends and frontiers in this field. …”
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High-Reputation Food Formulas: A Heterogeneous Information Network Representation and Semantic Analysis Approach by Hongfei Cui, Rui Yan, Qi Cao, Jingyu Zhang

“…To address this, we propose a semantic analysis framework that combines heterogeneous information network representation learning and lexicon-based sentiment analysis to uncover relationships between ingredients and consumer word-of-mouth. …”
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Interpretive prediction of hyperuricemia and gout patients via machine learning analysis of human gut microbiome by Jia-Wei Tang, Alfred Chin Yen Tay, Liang Wang

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A Systematic Review of Urban Vegetation Research during 2000–2023: A Bibliometric Analysis by Hassan Boukita, Fathalah Elwahab, Mohamed El Ammari, Abdelazziz Chemchaoui, Boutaina Benchahid, Youssef Haouazine, Najiba Brhadda, Rabea Ziri

“…The objective was to offer guidance on current topics and forecast future research trends related to this theme. This analysis shows that in 2000, only 5 articles on urban vegetation were published, which has risen by 2840% to 142 in 2023, following a quadratic function (R2=0.9524). …”
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Integrative analysis of seed morphology, geographic origin, and genetic structure in Medicago with implications for breeding and conservation by Seunghyun Lim, Sunchung Park, Insuck Baek, Jacob Botkin, Jae Hee Jang, Seok Min Hong, Brian M. Irish, Moon S. Kim, Lyndel W. Meinhardt, Shaun J. Curtin, Ezekiel Ahn

“…The identified candidate genes associated with geographic origin provide a foundation for future investigations into the functional mechanisms of local adaptation. Furthermore, our imputation method offers a valuable data for maximizing the utility of genomic resources in Medicago and other species.…”
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Seasonal Analysis of Planetary Boundary Layer and Turbulence in Warsaw, Poland Through Lidar and LES Simulations by Rayonil G. Carneiro, Maciej Karasewicz, Camilla K. Borges, Lucja Janicka, Dongxiang Wang, Gilberto Fisch, Iwona S. Stachlewska

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Safety and efficacy of remimazolam in mechanical ventilation in the ICU: a protocol for systematic evaluation and meta-analysis by Li Liu, Xuelian Yang, Yulian Yang, Gelan Miao, Chaobing Yang, Xianying Lei

“…Following a qualitative evaluation of each study, data analysis will be conducted using Review Manager 5.4 software. …”
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Perceiving visual negative stimuli in schizophrenia and bipolar disorder: Meta-analytic evidence of a common altered thalamic-parahippocampal-basal ganglia circuit by Alessandro Grecucci, Chiara Orsini, Gaia Lapomarda, Sara Sorella, Irene Messina

“…Our conjunction analysis results revealed the presence of shared functional abnormalities in thalamic, parahippocampal, and basal ganglia areas, suggesting that these patients share an altered circuit responsible for a heightened elaboration of negative emotional stimuli. …”
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Assessment of cardiometabolic risk factors in various phenotypes of masked hypertension by B. I. Geltser, V. V. Orlova-Ilinskaya, O. O. Vetrova, V. N. Kotelnikov, R. S. Karpov

“…Clustering of ABPM data in individuals with MH and comparing related phenotypes with cardiometabolic risk factors complements their clinical and functional characteristics and can be a useful tool for improving customized prevention and therapy programs.…”
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Effectiveness of telerehabilitation in non-operatively managed shoulder conditions: a systematic review and meta-analysis by Ting-wan Lin, Yang Yang, Hai-yan Hong, Xiao-bo Zhou, Tao-Hsin Tung, Bin-bin Zheng, Jian-min Zhang

“…The primary outcomes assessed were pain (using the visual Analog Scale [VAS]), range of motion (ROM) including flexion, abduction, external rotation and internal rotation, as well as functional outcomes evaluated through the Shoulder Pain and Disability Index [SPADI], Disabilities of the Arm, Shoulder, and Hand [DASH], and Quick DASH scores. …”
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Molecular Genetic Analysis of Human Endometrial Mesenchymal Stem Cells That Survived Sublethal Heat Shock by A. E. Vinogradov, M. A. Shilina, O. V. Anatskaya, L. L. Alekseenko, I. I. Fridlyanskaya, A. Krasnenko, A. Kim, D. Korostin, V. Ilynsky, A. Elmuratov, O. Tsyganov, T. M. Grinchuk, N. N. Nikolsky

“…Gene module and protein interaction network analysis of mRNA sequencing data showed that compared to untreated cells, SHS-survived progeny revealed some difference in gene expression. …”
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Multitargets Orientation Technique Based on Reflection Characteristic Analysis Using an Inverse Diffraction Parabolic Equation by Qi Guo, Daozong Sun, Zhen Li, Shilei Lyu, Xiuyun Xue

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Action Recognition, Tracking, and Optimization Analysis of Training Process Based on SVR Model and Multimedia Technology by Xuejiao Zhong

“…In order to explore the action recognition, tracking, and optimization analysis of the training process based on the SVR model and multimedia technology, the author proposes based on the radial basis function model, researching a new surrogate model technology-support vector regression (SVR). …”
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Kinetic analysis of growth of Lactobacillus delbrueckii subsp. bulgaricus WDCM 00102 in algae-based medium by Ivo Ganchev

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Relay selection algorithm based on selfish behavior analysis in ultra-dense D2D by Yijun WANG, Youxu ZHANG, Dakun LIU, Guifen CHEN

“…In ultra-dense D2D communication, the current relay selection schemes mainly assume that the relay device has the initiative to participate in data forwarding, but some rational relay devices may delay or refuse to forward due to their own considerations, thus affecting the user experience.From the perspective of selfish behavior of relay devices, a method to identify selfish relay devices in D2D communication was proposed, and then an ultra-dense D2D relay selection algorithm based on selfish behavior analysis was proposed.Firstly, three relay identification attribute factors, namely joint interest degree (JID), forwarding history ratio (FHR) and relay physical state (RPS) were defined, and their weights were calculated by triangular fuzzy function to identify relay devices with selfish behavior.Secondly, based on the TOPSIS (technique for order of preference by similarity to ideal solution) method, the final relay equipment selection scheme relay was realized.Simulation results show that the proposed algorithm can identify selfish relay devices more effectively in D2D communication.Compared with other relay selection algorithms, the proposed algorithm has made significant progress in the aspects of D2D communication forwarding success rate, system average throughput and average time delay.…”
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