Development of a Novel Tailless X-Type Flapping-Wing Micro Air Vehicle with Independent Electric Drive by Yixin Zhang, Song Zeng, Shenghua Zhu, Shaoping Wang, Xingjian Wang, Yinan Miao, Le Jia, Xinyu Yang, Mengqi Yang

“…Finally, the prototype realizes controllable take-off and flight from the ground.…”
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White Light Spectroscopy Characteristics and Expansion Dynamic Behavior of Primary T-Cells: A Possibility of Online, Real-Time, and Sampling-Less CAR T-Cell Production Monitoring by Bruno Wacogne, Maxime Brito, Clémentine Gamonet, Alain Rouleau, Annie Frelet-Barrand

“…There is a critical need for a closed and sample-free monitoring system to perform the numerous quality controls required. Current monitoring methods are not optimal, mainly because they require the system to be opened up for sampling and result in material losses. …”
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Data-Driven Hybrid CNN-LSTM Neural Networks for Predicting Drying Kinetics of Green Tomatoes (Physalis ixocarpa) Integrating Mathematical Models by Carolina Livier Recio-Colmenares, Roxana Berenice Recio-Colmenares, Robin Fernando Conchas-Cedano, Isaac Pilatowsky-Figueroa, Cesar Alejandro Garcia Garcia

“…This hybrid CNN-LSTM model, coupled with the accurate mathematical models (especially the Two-Term Exponential), offers a robust framework for predicting and optimizing food dehydration.…”
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Contingency-based flexibility mechanisms through a reinforcement learning model in adults with attention-deficit/hyperactivity disorder and obsessive-compulsive disorder by Rocío Rodríguez-Herrera, José Juan León, Pilar Fernández-Martín, Ana Sánchez-Kuhn, Miguel Soto-Ontoso, Laura Amaya-Pascasio, Patricia Martínez-Sánchez, Pilar Flores

“…Results: We found that the groups showed optimal performance in the discrimination block and a higher performance of healthy controls compared to patients in the reversal block. …”
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Methodology for Evaluating the Performance of a New Pulse Oximeter Model and Pulse Oximetry Algorithm in Neonates in a Clinical Trial (Exploratory Study) by T. S. Adylov, E. V. Shestak, V. Yu. Starkov

“…While evaluating a new domestically produced pulse oximeter model in clinical practice, we discovered a lack of references in Russian-language publications on clinical trial methodologies to assess device reliability and performance.The aim of the study is to create a methodology for conducting a multicenter, prospective, cohort, nonrandomized, controlled clinical trial evaluating a domestic pulse oximeter.Methods. …”
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Knowledge based full aperture polishing by Schneckenburger Max, Shaikh Ayaan, Algac Ufuc, Mewis Jan

“…Understanding and controlling of the polishing process on conventional NC (Numerical Control) machines is an important step to optimize production, reduce machine time and increase production quality. …”
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Stress-strain relationship of airfoiled-shaped milled-cut steel fiber-reinforced concrete under uniaxial compression: Experiments and analytical model by Shiqi Liu, Xianlin Wang, Yongjun Li, Yuqing Liu

“…MSF prevents the propagation of axial primary cracks and controls the maximum crack width to less than 1 mm. …”
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Aquifer water yield property prediction based on a hybrid neural network model: a case of yili no.4 colliery, Xinjiang by Jielin Yang, Wenping Li, Jingzhong Zhu, Dongding Li

“…A hybrid model is proposed, integrating the convolutional neural networks (CNN) with long short-term memory (LSTM) optimized by the Attention module to improve the model’s performance. …”
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Characterizing Duodenal Immune Microenvironment in Functional Dyspepsia: An AutoML-Driven Diagnostic Framework by Zhang X, Fan X, Hu X, Qian Z, Li J, Wu W, Chen L, Wu S, Ma L, Yang C, Zhang T, Su X, Wei W

“…We utilized the AutoGluon framework to automate the construction and optimization of a model based on hub genes, generating a high-performance diagnostic model. …”
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The Impact of Green Finance and Technological Innovation on Corporate Environmental Performance: Driving Sustainable Energy Transitions by Sonia Chien-i Chen, Xinlei Xu, Chung-Ming Own

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Comparative Study of Mass Transfer Limitation Steps in Bemacid Yellow and Methyl Red Biosorption: Investigation using Unique and Binary Resistance Models by Fouzia Ouazani, Mokhtaria Reguig, Khedidja Benouis

“…Kinetic data fitting was carried out using pseudo first and second order models. The results revealed that the pseudo second order model exhibited a better fit for both dyes, with a high determination coefficient (R2=0.99). …”
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A STUDY OF THE EFFECTIVENESS OF DISTANCE LEARNING AT A MEDICAL UNIVERSITY IN UKRAINE by H.Yu. Morokhovets, Yu.V. Lysanets, O.M. Bieliaieva, S.A. Stetsenko, O.A. Shlykova

“…The level at which students determined the complexity of work during distance learning did not correlate with the results of test control of respondents (r=-0.04745, р=0.4028), and the age of respondents (r=0.1379, р=0.0242). …”
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Development and externally validated prediction model of individualization of FSH starting dose in the depot GnRH agonist protocol for the early follicular phase by Wenqian Fan, Tian Ye, Linqing Du, Lifeng Tian, Huijuan Kong

“…The depot GnRHa protocol has a deeper down-regulation effect and favorable clinical pregnancy rates. The predictive model of the optimal follicle-stimulating hormone (FSH) starting dose in the early follicular phase depot GnRH agonist (EFDGa) protocol has not been reported. …”
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Dynamic Model and Vibration Power Flow of a Rigid-Flexible Coupling and Harmonic-Disturbance Exciting System for Flexible Robotic Manipulator with Elastic Joints by Yufei Liu, Wei Li, Yuqiao Wang, Xuefeng Yang, Jinyong Ju

“…The results obtained in this paper contribute to the structure design, motion optimization, and vibration control of FRMs.…”
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A forewarning model for the reverse supply chain of urban End-of-Life power batteries based on a mix method of BWM and RBFNN by Shuhua Li, Bei Xie

“…This approach reduces the burden of data collection while enhancing model transparency. Utilizing data from 60 cities in China, a multi-modal data fusion forewarning model for SCR is developed. …”
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Integrative analysis of signaling and metabolic pathways, immune infiltration patterns, and machine learning-based diagnostic model construction in major depressive disorder by Lei Tang, Liling Wu, Mengqin Dai, Nian Liu, Lu liu

“…We first applied gene set variation analysis (GSVA) and seven different immune infiltration algorithms to the GSE98793 dataset to determine the differences in signaling pathways, metabolic pathways, and immune cell infiltration between MDD patients and healthy controls. Differentially expressed genes between MDD patients and controls were obtained from five datasets (GSE98793, GSE32280, GSE38206, GSE39653, and GSE52790), and 113 machine learning methods were employed to construct MDD diagnostic models. …”
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Mitigating cadmium-induced body burden for residents in southern China based on soil-food-urine system and physiologically based toxicokinetic model by Tian Zhang, Meie Wang, Yanling Li, Guohao Xie, Yao Zhang, Yang Yang, Weiping Chen

“…A probabilistic physiologically based toxicokinetic (PBTK) model was used to optimize the strategies for reducing the Cd body burden through the food-blood-plasma-liver-kidney pathway. …”
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Modeling fire‐related smoke inhalation injury using the human lung‐on‐a‐chip and organoid platform: Pathogenesis insights and therapeutic evaluation by Junmin Li, Dezhong Zhang, Yan Meng, Yongqing Chang, Wenbo Wei, Peng Wu, Lin Peng, Wei Chang, Wei Wang, Jie Huang, Jingjing Fang, Keming Zhu, Xiaojian Wan

“…This study, for the first time, utilized organ‐on‐a‐chip and organoid technologies, optimizing chip design and precisely controlling smoke generation from non‐metallic materials to establish a human‐relevant, physiologically accurate model of fire‐related SI‐ALI. …”
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Targeting MMP-9 activation after early-life seizures reduces seizure susceptibility and memory deficits in a larval zebrafish model by Christopher Stegmuller, Alfonsina Ramón, Kasulul Melissa Bhuiyan, Nat Berk, Rebecca Han, Faisha Salami, Marina D'Angelo, Jocelyn J. Lippman-Bell

“…Because it is not clear how seizures might lead to these consequences, no therapeutic strategy exists to prevent or predict them. Here, we optimized a larval zebrafish ELS model to assess a therapeutic approach targeting post-ELS sequelae. …”
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A variable threshold ring signature scheme for privacy protection in smart city blockchain applications by Guo Hongzhi, Qin Haowen

“…Abstract In smart city deployments, blockchain offers decentralized control over services and data, yet it also introduces stringent privacy and scalability challenges. …”
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