Microbial biomarker discovery in Parkinson’s disease through a network-based approach by Zhe Zhao, Jing Chen, Danhua Zhao, Baoyu Chen, Qi Wang, Yuan Li, Junyi Chen, Chaobo Bai, Xintong Guo, Nan Hu, Bingwei Zhang, Rongsheng Zhao, Junliang Yuan

“…Afterwards, a classification model incorporating 11 optimized genera demonstrated high performance. …”
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Machine learning based clinical decision tool to predict acute kidney injury and survival in therapeutic hypothermia treated neonates by Elif Keles, Syed Yaseen Ali, Pia Wintermark, Pieter Annaert, Floris Groenendaal, Suzan Şahin, Mehmet Yekta Öncel, Didem Armangil, Esin Koc, Malcolm R. Battin, Alistair J. Gunn, Adam Frymoyer, Valerie Chock, Djalila Mekahli, John van den Anker, Anne Smits, Karel Allegaert, Ulas Bagci

“…The algorithm used all these covariates to predict one of five outcomes: survival with/without AKI, mortality with/without AKI, and hospitalized non-NE controls. The XGBoost model achieved an AUC of 95% and an accuracy of 75.08% in predicting AKI and survival, surpassing other ML classifiers that demonstrated accuracy levels ranging from 54% to 65%. …”
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Physicochemical analysis and dissolution kinetics of Itakpe iron ore in acid, base and aqueous media by A. U. Atumeyi, A. U. Itodo, R. Sha'Ato, R. A. Wuana

“…The zero-order kinetic model, R2 = 0.8819, showed that the dissolution process was surface-controlled in acidic media, while the Higuchi model, R2 = 0.8797, confirmed dissolution driven by diffusion. …”
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Research on the blockchain-based trusted ownership confirmation and value transfer system and its light weight of industrial data assets by WANG Dongchu, FU Yusun, YU Ya

“…To solve the contradiction between security and efficiency, a lightweight trusted blockchain model was proposed, which measured the trustworthiness of nodes based on their behavior and status, and provided a dynamic initial value calculation method for nodes and an overall trust value measurement model for trust management. …”
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Synergistic effects of human umbilical cord mesenchymal stem cells/neural stem cells and epidural electrical stimulation on spinal cord injury rehabilitation by Zhiping Mu, Jiaodi Qin, Xiaohua Zhou, Kunzheng Wang

“…Initially, we found that NSCs in the in vitro co-culture model showed a unique expression profile of differentially expressed genes (DEGs) compared to controls. …”
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Articulated Robotic Arm for Minimally Invasive Stereotactic Localization in Operating Rooms by Deisy L. Acosta-Ticse, Jorge Edinson Poma-Deza, Juan Orlando Salazar-Campos, Deyby Huamanchahua, Ricardo Andre Reaño-Forsyth, Issael Adrian Rocha-Hauyon, Ruben Felipe Vidal Endara, Ivan Ortega-Ampuero

“…Moreover, as a first version, several aspects for improvement were identified, including strengthening communications, improving the appearance, simplifying control, and optimizing needle actions for confined spaces.…”
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Realistic simulation analysis and performance testing of one KW fuel cell powered three-wheeler by Anandkumar Gunasekaran, Ramakrishnan Sambasivam, Anbuchezian Ashokan, Dhileepan Sekar, Silambarasan Rajendran, Ruby Pant

“…An intelligent switchover mechanism controlled by real-time monitoring via an Arduino-based control system guarantees continuous operation in a hybrid configuration that incorporates a lithium iron phosphate (LiFePO₄) battery. …”
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Physiological and physical characteristics of BMX freestyle athletes: a preliminary review by Weibao Liang, Weibao Liang, Yu Hou, Chuannan Liu, Shuhui Ma, Yue Zong, Xujie Yan

“…This synthesis provides an evidence-based framework for optimizing training protocols focused on explosive power and eccentric strength, developing quantitative talent identification models, and implementing targeted injury prevention strategies that address the unique demands of the human-bicycle interface. …”
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YAREN: Humanoid Torso Robot Platform for Research, Social Interaction, and Educational Applications by Daniela Sanchez-Orozco, Rhandall Valdez, Yandri Uchuari, Marcelo Fajardo-Pruna, Luis Cavazos Quero, Redhwan Algabri, Emiliano Quinones Yumbla, Francisco Yumbla

“…We also provide the kinematic model and tuning of the PID controller for the motors to control each joint precisely and optimize movement without compromising user safety. …”
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Determinants of developmental outcomes for children under 3 years in a rural setting, Kenya by Beatrice A. Oyugi, Silas O. Onyango, Henry Athiany, Gideon M. Kikuvi

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From shadowing to active learning: exploring the impact of supervised teaching clinics on gynecology education by Sangsang Ren, Hong Zhan, Asanga Fernando, Asanga Fernando, Xiangrong Xu, Weiguo Lu

“…The study suggests that integrating STCs into traditional clinical education models could substantially optimize medical training.…”
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What Is the Best Solution for Smart Buildings? A Case Study of Fog, Edge Computing and Smart IoT Devices by Mauro Chiozzotto, Miguel Arjona Ramírez

“…Furthermore, it explores the implementation of new open network and communication models, such as SDN and NFV, to optimize communication between the various SBs and the SB’s connection to the control center of a Smart City.…”
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Transient stability improvement of a transmission system through the application of an artificial neural network-based high-voltage direct current system by Chibuike Peter Ohanu, Uche C Ogbuefi, Emenike Ejiogu

“…This intelligent control mechanism enhances transient stability by optimizing power system responses based on real-time operational data. …”
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Research on target localization and adaptive scrubbing of intelligent bathing assistance system by Ping Li, Ping Li, Shikai Feng, Hongliu Yu

“…The 3D position and pose of the target point in the RGB camera coordinate system are modeled and then transformed to the robot base coordinate system by hand-eye calibration. …”
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Assessing the impact of deep‐learning assistance on the histopathological diagnosis of serous tubal intraepithelial carcinoma (STIC) in fallopian tubes by Joep MA Bogaerts, Miranda P Steenbeek, John‐Melle Bokhorst, Majke HD vanBommel, Luca Abete, Francesca Addante, Mariel Brinkhuis, Alicja Chrzan, Fleur Cordier, Mojgan Devouassoux‐Shisheboran, Juan Fernández‐Pérez, Anna Fischer, C Blake Gilks, Angela Guerriero, Marta Jaconi, Tony G Kleijn, Loes Kooreman, Spencer Martin, Jakob Milla, Nadine Narducci, Chara Ntala, Vinita Parkash, Christophe dePauw, Joseph T Rabban, Lucia Rijstenberg, Robert Rottscholl, Annette Staebler, Koen Van de Vijver, Gian Franco Zannoni, Monica vanZanten, AI‐STIC Study Group, Joanne A deHullu, Michiel Simons, Jeroen AWM van derLaak

“…To evaluate the impact of the use of this model on pathologists' performance, we set up a fully crossed multireader, multicase study, in which 26 participants, from 11 countries, reviewed 100 digitalized H&E‐stained slides of fallopian tubes (30 cases/70 controls) with and without AI assistance, with a washout period between the sessions. …”
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Enhanced multienzyme-like and antibacterial activity by copper atomically dispersed into molybdenum disulfide for accelerated wound healing by Jiahao Shen, Junli Liu, Yunxiao Yi, Chenhui He, Hengyu Liu, Linrong Shi, Jin Liu, Pingen Shi, Hui Liu, Xuanmeng He, Yi Feng, Xingjian Song, Shaowei Chen

“…Herein, copper is atomically dispersed into a MoS2 matrix via the chelation of ammonium tetrathiomolybdate [(NH4)2MoS4]. Meticulous control of the copper content enables uniform atomic dispersion and optimizes active site accessibility, both critical factors for a range of catalytic activities that mimic native enzymes like peroxidase, superoxide dismutase and glutathione oxidase. …”
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Gene polymorphisms of miR-323b and miR-1343 that regulate kininogen L are associated with schizophrenia susceptibility: A preliminary population‑based study by Xiaoyu Liu, Mengdi Jin, Mingjia Yang, Lijuan Yan, Weijiao Zhao, Lizhuo Liu, Hongmin Wang, Yongzhuo Ding, Yanyan Sun, Yanchi Zhang, Qiong Yu

“…The polymorphisms of rs56103835, rs6513496, rs651349, and rs2986407 were detected using imLDR multiple SNP typing technologies in 513 SCZ patients and 509 controls. The association of miR-SNP variations with SCZ susceptibility and symptoms was evaluated using SNPstat to determine the optimal inheritance model. …”
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Intraoperative redosing of antibiotics for prevention of surgical site infections: A systematic review and meta‐analysis by Yuki Hanai, Jun Hirai, Masahiro Kobayashi, Kazuhiro Matsuo, Keita Kouzu, Hiroji Shinkawa, Seiichi Shinji, Motomu Kobayashi, Yuichi Kitagawa, Chizuru Yamashita, Yasuhiko Mohri, Hiroshi Nobuhara, Katsunori Suzuki, Junzo Shimizu, Motoi Uchino, Seiji Haji, Masahiro Yoshida, Toru Mizuguchi, Toshihiko Mayumi, Yuko Kitagawa, Hiroki Ohge

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Predicting postoperative complications after pneumonectomy using machine learning: a 10-year study by Yaxuan Wang, Shiyang Xie, Jiayun Liu, He Wang, Jiangang Yu, Wenya Li, Aika Guan, Shun Xu, Yong Cui, Wenfei Tan

“…The optimal model was analyzed and filtered using multiple machine-learning models (Logistic regression, eXtreme Gradient Boosting, Random forest, Light Gradient Boosting Machine and Naïve Bayes). …”
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Life’s Essential 8 cardiovascular health, cardiovascular-kidney-metabolic syndrome stages, and incident cardiovascular events: a nationwide 10-year prospective cohort study in Chin... by Mian Li, Min Xu, Yi Ding, Hong Lin, Guijun Qin, Tiange Wang, Yu Xu, Yuhong Chen, Shuangyuan Wang, Zhiyun Zhao, Jie Zheng, Li Yan, Lixin Shi, Zhengnan Gao, Lulu Chen, Tianshu Zeng, Ruying Hu, Zhen Ye, Xuefeng Yu, Gang Chen, Qing Su, Yiming Mu, Xulei Tang, Qin Wan, Guixia Wang, Feixia Shen, Xuejiang Gu, Zuojie Luo, Yingfen Qin, Li Chen, Xinguo Hou, Yanan Huo, Qiang Li, Hong Qiao, Yinfei Zhang, Chao Liu, Youmin Wang, Shengli Wu, Tao Yang, Huacong Deng, Jiajun Zhao, Guang Ning, Jieli Lu, Weiqing Wang, Yufang Bi

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