Unsupervised clustering of biochemical markers reveals health profiles associated with function and survival in active aging by Raquel González-Martos, Javier Galeano, Carmen Ramirez-Castillejo, Narcis Gusi, Eva Gesteiro, German Vicente-Rodriguez, Ignacio Ara, Amelia Guadalupe-Grau

“…Abstract This study explores the relationships between biochemical phenotypes identified using machine learning, and key health outcomes, including body composition, physical function, and mortality risk. …”
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Management and edaphoclimatic factors that determine soybean top-performing farmers in Brazil by Victor Delino Barasuol Scarton, Ivan Ricardo Carvalho, Christiane de Fátima Colet, Leonardo Cesar Pradebon, Willyan Júnior Adorian Bandeira, Jaqueline Piesanti Sangiovo, Murilo Vieira Loro, José Antonio Gonzalez da Silva

“…The integration of meteorological, edaphic, and genetic data with robust analyses such as machine learning and factorial regression helps clarify the factors related to high soybean productivity. …”
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Artificial intelligence enhanced electrochemical immunoassay for staphylococcal enterotoxin B by Yuliang Zhao, Tingting Sun, Huawei Zhang, Chao Lian, Zhongpeng Zhao, Yongqiang Jiang, Huiqi Duan, Yuhao Ren, Xuyang Sun, Zhikun Zhan, Mingyue Qu, Shaolong Chen

“…Secondly, feature selection methodologies within machine learning are utilized to identify eight key parameters from CV curves that are highly related to SEB concentration. …”
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Simulation analysis and experiment of roller-round brush precise seed-metering device for Panax notoginseng by ZHOU Jinhua, LAI Qinghui, GAO Xiaojun

“…A novel type of roller-round brush precise seed-metering device was designed for P. notoginseng, and the optimal metering parameters on the performance of the machine were explored.In this study, basic structure and working principle of the model were described, and the effect of shape and size of the type hole on seed-filling was analyzed. …”
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A data management system for precision medicine. by John J L Jacobs, Inés Beekers, Inge Verkouter, Levi B Richards, Alexandra Vegelien, Lizan D Bloemsma, Vera A M C Bongaerts, Jacqueline Cloos, Frederik Erkens, Patrycja Gradowska, Simon Hort, Michael Hudecek, Manel Juan, Anke H Maitland-van der Zee, Sergio Navarro-Velázquez, Lok Lam Ngai, Qasim A Rafiq, Carmen Sanges, Jesse Tettero, Hendrikus J A van Os, Rimke C Vos, Yolanda de Wit, Steven van Dijk

“…MedDMS for precision medicine should be able to process hundreds of parameters from multiple sites, be adaptable while remaining in sync at multiple locations, real-time syncing to analytics and be compliant with international privacy legislation. …”
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Fatigue and Distracted Driving Recognition Method Based on Multimodal Information Fusion by Deyong Guan, Qi Wang, Ke Wang, Xinyu Song

“…Data on the physiological and psychological parameters, driving performance, and wrist movement information of 33 drivers were collected. …”
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A Time–Frequency-Based Data-Driven Approach for Structural Damage Identification and Its Application to a Cable-Stayed Bridge Specimen by Naiwei Lu, Yiru Liu, Jian Cui, Xiangyuan Xiao, Yuan Luo, Mohammad Noori

“…Structural damage identification based on structural health monitoring (SHM) data and machine learning (ML) is currently a rapidly developing research area in structural engineering. …”
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A holistic methodology for evaluating flood vulnerability, generating flood risk map and conducting detailed flood inundation assessment by Kamalini Devi, Chundi Chenna Reddy, Kandakatla Rahul, Jnana Ranjan Khuntia, Bhabani Shankar Das

“…The results obtained by risk analysis using hydraulic modeling, GIS analysis, and machine learning technique illustrates the flood vulnerability, areas having high flood risk and inundated volume along with predicted flood levels for next 10 years. …”
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Significant Influence on Residual Bending Strength by Cracks Generation During Grinding of Ceramics by Jinshuo Zhang, Tianyi Sui, Bin Lin, Bingrui Lv, Jingming Li, Jingguo Zhou

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Design of Wrist Rehabilitation Mechanism and Research on Impedance Control by Guo Ce, Chen Yu, Wang Huaiyang, Kan Yanpeng, Meng Qingyang, Lu Mengchen

“…The influence of friction parameters, damping parameters and human-machine contact load on the impedance control performance was analyzed through the simulation test to verify that the joint control can be realized, and the working space of the compensated joint was compared and analyzed to verify the rationality and feasibility of the structural design of the trainer and to provide a theoretical basis for the production of the next physical prototype.…”
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An Information Granulated Based SVM Approach for Anomaly Detection of Main Transformers in Nuclear Power Plants by Wenmin Yu, Ren Yu, Cheng Li

“…A condition prediction method based on the online support vector machine (SVM) regression model is proposed, with the input data being preprocessed using the information granulation method, and the parameters of the model are optimized using the particle swarm optimization (PSO) algorithm. …”
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Metro Wheel Set Size Measurement Method Based on CDD Image Recognition by Jun Ma, Chunguang Zhang, Bingzhi Chen

“…Secondly, the machine learning algorithm of online dynamic detection technology of wheel set size is studied. …”
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Theoretical Analysis and Experiment of the Five DOF Hybrid Robot P(RPR/RP)RR by Xuejian Ma, Xiaoyu He, Yundou Xu, Jiantao Yao, Yongsheng Zhao

“…This research provides significant technical support for the precision machining of aluminum alloy structures in new energy vehicles.…”
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Friction stir welding tool trajectory error on the load capacity of EN AW-2024-T3 aluminum alloy joints by Magdalena Bucior, Rafał Kluz, Andrzej Kubit, Hamed Aghajani Derazkola, Enrico Cestino, Ján Slota

“…Since the FSW-capable robot has low stiffness, a HAAS TM1P milling machine was used to simulate the robot's motion, incorporating recorded deviation errors. …”
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Elastocaloric can cooler: an exemplary technology transfer to use case application by L. Ehl, L. Ehl, N. Scherer, D. Zimmermann, D. Zimmermann, I. Trofimenko, P. Molitor, S.-M. Kirsch, F. Louia, P. Motzki, P. Motzki

“…A simulation tool enables investigation and optimization of various machine parameters such as material dimensions, load profiles, and latent heats for the intended application. …”
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Effect of Substrate Temperature on Bead Track Geometry of 316L in Directed Energy Deposition: Investigation and Regression Modeling by Deviprasad Chalicheemalapalli Jayasankar, Stefan Gnaase, Dennis Lehnert, Artur Walter, Robin Rohling, Thomas Tröster

“…Regression models, including both linear and quadratic approaches, are constructed to predict machine parameters for achieving the desired bead geometry at different substrate temperatures. …”
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Study on ultrasonic-assisted abrasive flow polishing of internal flow channels in additive manufacturing by LIU Weiwei, WU Yizhou, LI Haoran, LUO Ziyan, LIU Jinjin, WANG Zhanshuang

“…Simulations were performed on the channels of AlSi10Mg aluminum alloy printed components, yielding the optimal process parameters for abrasive flow machining: a processing pressure of 10 MPa, abrasive particle size of 270 mesh, and abrasive concentration of 60%. …”
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Voltage and Frequency Regulation in Interconnected Power Systems via a (1+PDD²)-(1+TI) Cascade Controller Optimized by Mirage Search Optimizer by Kareem M. AboRas, Ali M. Elkassas, Ashraf Ibrahim Megahed, Hossam Kotb

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Residual Film–Cotton Stubble–Nail Tooth Interaction Study Based on SPH-FEM Coupling in Residual Film Recycling by Xuejun Zhang, Yangyang Shi, Jinshan Yan, Shuo Yang, Zhaoquan Hou, Huazhi Li

“…The effect of cotton straw–root stubble on residual film recovery can only be better determined by appropriate machine operating parameters, which are essential to improving residual film recovery. …”
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Experiments and optimization for the WEDM process: A trade-off analysis between surface quality and production rate by Trung Thanh Nguyen, Xuan Phuong Dang, Truong An Nguyen, Quang Hung Trinh

“… This work addressed a parameter optimization to simultaneously decrease the root mean square roughness (Rq) as well as the thickness of the white layer (TW) and improve the material removal rate (MRR) for the wire electro-discharge machining (WEDM) of a stainless steel 304 (SS304). …”
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