HSP105 inhibition downregulates store-operated calcium entry and promotes acute UVB-induced tight junction disruption. by Kaiyi Zhou, Siyu Luo, Qinxiao Wang, Qian Ye, Sheng Fang

“…Overexpression of HSP105 partially mitigated the damage to tight junction integrity caused by UVB and SOCE inhibition.…”
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Energetically self-sufficient robot group study kit by M. A. Rovbo, A. A. Malyshev

“…The prototype of the kit and its usage according to the described approach have been partially validated by conducting computational experiments with algorithms based on different search methods (random search, closest source and multi-criteria optimization methods), multi-agent paradigm and adaptive control which show a variety of possible approaches and illustrate the process of students' work. …”
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Association Between Depression and Lung Cancer Risk Among Postmenopausal Women by Yuanyuan La, Su Yon Jung, Xiaoyun Liang, Michelle J. Naughton, Michael Hendryx, Juhua Luo

“…Depressive symptoms were measured using the 8‐item Burnam regression algorithm with a cut‐point of 0.06, and depression was defined as either depressive symptoms or antidepressant use at baseline. …”
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Using self-generated identification codes to match anonymous longitudinal data in a sexual health study of secondary school students: a cohort study by Edmond Pui Hang Choi, Ellie Bostwick Andres, Heidi Sze Lok Fan, Lai Ming Ho, Alice Wai Chi Fung, Kevin Wing Chung Lau, Neda Hei Tung Ng, Monique Yeung, Janice Mary Johnston

“…The SGIC comprised a 5-element code with 4 digits and 3 letters. A matching algorithm was developed to link baseline and follow-up data collected from students in Years 1 to 3 (n = 1,064) during the 2019–2020 school year. …”
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Accurate Estimation of Plant Water Content in Cotton Using UAV Multi-Source and Multi-Stage Data by Shuyuan Zhang, Haitao Jing, Jihua Dong, Yue Su, Zhengdong Hu, Longlong Bao, Shiyu Fan, Guldana Sarsen, Tao Lin, Xiuliang Jin

“…In this study, we used UAV-based data, including texture features, vegetation indices, and a heat index, and applied four machine learning algorithms, i.e., partial least-squares regression (PLSR), support vector regression (SVR), random forest regression (RFR), and extreme gradient boosting (XGB), to estimate CWC. …”
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Metabolomic Profiling Reveals Serum Tryptophan as a Potential Therapeutic Target for Systemic Lupus Erythematosus by Wang K, Zhu R, Xu M, Zhu K, Li J, Li C, Meng D, Chen H, Sun L

“…Eight machine learning algorithms were employed to establish diagnostic models. …”
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EEG microstate analysis in children with prolonged disorders of consciousness by Yi Zhang, Zhichong Hui, Yuwei Su, Weihang Qi, Guangyu Zhang, Liang Zhou, Jiamei Zhang, Kaili Shi, Yonghui Yang, Lei Yang, Gongxun Chen, Sansong Li, Mingmei Wang, Dengna Zhu

“…Support vector machine (SVM) models were trained using combined temporal and spatial microstate features, optimized via grid search and random search algorithms. Model performance was evaluated using standard metrics, and features were ranked by permutation importance. …”
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Development and validation of machine learning models for MASLD: based on multiple potential screening indicators by Hao Chen, Jingjing Zhang, Xueqin Chen, Ling Luo, Wenjiao Dong, Yongjie Wang, Jiyu Zhou, Canjin Chen, Wenhao Wang, Wenbin Zhang, Zhiyi Zhang, Yongguang Cai, Danli Kong, Yuanlin Ding

“…This study aimed to utilize multifaceted indicators to construct MASLD risk prediction machine learning models and explore the core factors within these models.MethodsMASLD risk prediction models were constructed based on seven machine learning algorithms using all variables, insulin-related variables, demographic characteristics variables, and other indicators, respectively. …”
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Peer-to-peer energy trading with energy trading consistency in interconnected multi-energy microgrids: A multi-agent deep reinforcement learning approach by Yang Cui, Yang Xu, Yijian Wang, Yuting Zhao, Han Zhu, Dingran Cheng

“…The complex decision-making problem with significantly large high-dimensional data is formulated as a partially observable Markov decision process and solved using the proposed multi-agent deep reinforcement learning approach combining the centralized training decentralized execution framework and soft actor-critic algorithm. …”
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Comparative analysis of machine learning techniques in metabolomic-based preterm birth prediction by Ying-Chieh Han, Jane Shearer, Chunlong Mu, Donna M. Slater, Suzanne C. Tough, Gavin E. Duggan

“…Methods: Samples from 48 preterm and 102 term delivery mothers from the All Our Families Cohort (Calgary, AB) were examined. Four ML algorithms: Partial Least Squares Discriminant Analysis (PLS-DA), linear logistic regression, artificial neural networks (ANN), Extreme Gradient Boosting (XGBoost) - with and without bootstrap resampling were used to examine the small-scale clinical dataset for both model performance and metabolite interpretation. …”
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Spectral purification improves monitoring accuracy of the comprehensive growth evaluation index for film-mulched winter wheat by Zhikai Cheng, Xiaobo Gu, Yadan Du, Zhihui Zhou, Wenlong Li, Xiaobo Zheng, Wenjing Cai, Tian Chang

“…Four machine learning algorithms, partial least squares, support vector machines, random forests, and artificial neural network networks (ANN), were used to build the winter wheat growth monitoring model under film mulching, and accuracy evaluation and mapping of the spatial and temporal distribution of winter wheat growth status were carried out. …”
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Machine Learning Model Based on Prognostic Nutritional Index for Predicting Long‐Term Outcomes in Patients With HCC Undergoing Ablation by Nan Zhang, Ke Lin, Bin Qiao, Liwei Yan, Dongdong Jin, Daopeng Yang, Yue Yang, Xiaohua Xie, Xiaoyan Xie, Bowen Zhuang

“…The optimal ML model was interpreted using the partial dependence plot (PDP) and SHapley Additive exPlanations (SHAP) framework. …”
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A Hybrid Method Combining Variational Mode Decomposition and Deep Neural Networks for Predicting PM2.5 Concentration in China by Senlin Li, Bo Tang, Xiaowu Deng

“…Accurately predicting air pollutants, especially PM2.5 (particles with a diameter of 2.5 micrometers or less) concentration, is crucial for pollution control and public health management. …”
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Computer guided versus freehand dental implant surgery: Randomized controlled clinical trial by Nermine Ramadan Mahmoud, Mohamed Hatem Kamal Eldin, Mai Hassan Diab, Omar Samy Mahmoud, Yasser El-Sayed Fekry

“…Objective: This study compares, in terms of rehabilitation and recovery, freehand implant placement using flapless or mini-flap procedures with the use of 3D implant design software and specialized surgical templates among patients who are partially or completely edentulous. A secondary aim is to propose an algorithm for predicting the accuracy of implant placement. …”
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CME Velocity Field Calculation Model Based on an Unsupervised Transformer Optical Flow Network by Qingyang Chen, Hong Lin, Zhenping Qiang, Hui Liu, Kaifan Ji, Zhenhong Shang

“…The optical flow algorithm (OF) is one the main methods for calculating image velocity field and has many applications in space weather. …”
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Improved simulation of thunderstorm characteristics and polarimetric signatures with LIMA two-moment microphysics in AROME by C. David, C. Augros, B. Vié, F. Bouttier, T. Le Bastard

“…</p> <p>The aim of this work is to assess the ability of the AROME NWP convective model, when coupled with two distinct microphysics schemes (ICE3 one-moment and LIMA partially two-moment; LIMA: Liquid Ice Multiple Aerosols), to accurately reproduce thunderstorm characteristics. …”
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The association of upper limb sensorimotor capacity, everyday inpatient behavior, and the effects of neurorehabilitation in persons with multiple sclerosis and stroke: a mixed-desi... by Philipp Gulde, Heike Vojta, Stephanie Schmidle, Peter Rieckmann, Joachim Hermsdörfer

“…An activity recognition algorithm was used to avoid physical activity volume dependencies that come with epoch-based approaches. …”
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Village-level climate and weather variability, mediated by village-level crop yield, is associated with linear growth in children in Uganda by Vernon M Chinchilli, Paddy Ssentongo, Djibril M Ba, Claudio Fronterre

“…This association can be partially explained by higher crop yield, especially from seeds and nuts. …”
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A HERMENEUTICAL APPROACH TO “IN SOLEMNITATE CORPORIS CHRISTI” BY EDUARD TERÉNYI by Anamaria Mădălina HOTORAN

“…The first strophe A is a melodic line of a neo – Gregorian style that is partially inspired from the cantus planus variant of In solemnitate corporis Christi from Cantionale Catholicum. …”
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MOVEMENTS OF ANATOMICAL COMPLEX: CONDYLAR PROCESS, TEMPOROMANDIBULAR JOINT, TEMPORAL BONE by R.S. Palyvoda, A.S. Volovar, A.V. Malikov

“…It consists of condylar process, temporomandibular joint structure and partially of temporal bone. Joint capsule was saved. …”
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