Novel electromagnetic oscillation method for uniform grain refinement and mechanical properties enhancement of flat-shaped aerospace components by Zong-sheng Xie, Xin Hao, Guo-huai Liu, Hang Zheng, Ye Wang, Chu-shan Yi, Zhao-dong Wang

“…In this study, magnetic field distributions are simulated by ANSYS Maxwell, resulting in the design of three self-developed optimized electromagnetic oscillation (EMO) devices for grain refinement of different-sized flat-shaped aerospace components. …”
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Understanding the role of the gut microbiome in solid tumor responses to immune checkpoint inhibitors for personalized therapeutic strategies: a review by Mi Young Lim, Seungpyo Hong, Young-Do Nam

“…Further research is necessary to fully understand the complex interactions between the host, gut microbiota, and immunotherapy and to develop personalized strategies that optimize responses to ICI therapy.…”
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Adsorption of Cd (II) Using Chemically Modified Rice Husk: Characterization, Equilibrium, and Kinetic Studies by Javier Montalvo-Andía, Warren Reátegui-Romero, Alexis D. Peña-Contreras, Walter F. Zaldivar Alvarez, María E. King-Santos, Víctor Fernández-Guzmán, José Luis Guerrero-Guevara, Jhon E. Puris-Naupay

“…Experimental tests were carried out to evaluate the influence of the variables pH, initial concentration of cadmium, and dosage of adsorbent in the adsorption process. In optimal experimental conditions, the maximum adsorption efficiency was 92.65%. …”
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Endoscopic retrograde cholangiopancreatography training using a silicone simulator fabricated using a 3D printing technique (with videos) by Suk Pyo Shin, Kyong Joo Lee, Min Je Sung, Jong Chan Kim, Guk Bae Kim, Moo Yeop Kim, Sung Yong Han, Sung Ill Jang, Mamoru Takenaka, Chang-Il Kwon

“…This study used 3D printing techniques to develop and optimize a portable ERCP training simulator and to implement basic and advanced practical techniques. …”
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Separation Process for Methanol–Methylal–Methyl Formate Multicomponent System in Polyformaldehyde Production Waste Liquid: Modeling and Techno-Economic Analysis by Huajie Liu, Jun Fan, Weiping Liu, Yong Wang, Qiuhong Ai, Yonglin Li

“…The simulation results show that the methyl formate in POM waste stream can be purified by simple distillation, while the methylal separated from the POM waste liquid, which was affected by factors like the azeotropic behavior of binary components, necessitates a complex distillation process. Under optimal operating conditions, the recovery yield of methyl formate through direct distillation can reach 99.7%, with an economic benefit of 6960.1 CNY per ton of waste liquid. …”
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An efficient asymmetric removal lemma and its limitations by Lior Gishboliner, Asaf Shapira, Yuval Wigderson

“…We obtain the following results: • We first give a regularity-free proof of Csaba’s theorem, which improves the number of copies of $C_5$ to the optimal number $\operatorname {\mathrm {poly}}(\varepsilon )\cdot n^5$ …”
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Performance Evaluation of Recycled Asphalt Mixtures Containing Construction and Demolition Waste Applicated as Pavement Base by Le Ding, Junhui Zhang, Bowen Feng, Cheng Li

“…The stability, flow value, voidage, and bulk density were obtained by Marshall Test, and the optimal asphalt-aggregate ratios were determined under different RA contents and proportion of bricks to concrete. …”
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Using Recombinase-Aid Amplification Combined with <i>Pyrococcus furiosus</i> Argonaute for Rapid Sex Identification in Flamingo (<i>Phoenicopteridae</i>) by Shenluan Tan, Fanwen Zeng, Wanhuan Zhong, Tanzipeng Chen, Xuanjiao Chen, Li Li, Hengxi Wei, Shouquan Zhang

“…The results showed that optimal RAA-<i>Pf</i>Ago conditions could detect 0.6 ng of genomic DNA and effectively differentiate between males and females. …”
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HPGCN: A graph convolutional network-based prediction model for herbal heat/cold properties by Qikai Niu, Jing’ai Wang, Hongtao Li, Lin Tong, Haiyu Xu, Weina Zhang, Ziling Zeng, Sihong Liu, Wenjing Zong, Siqi Zhang, Siwei Tian, Huamin Zhang, Bing Li

“…Compared to previous machine learning algorithms, the HPGCN obtained optimal classification prediction results for ACC, Recall, Precision, F1, and AUC indicators by 5-fold cross-validation on the training and test sets. …”
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Three-Dimensional Deformation Prediction Based on the Improved Segmented Knothe–Dynamic Probabilistic Integral–Interferometric Synthetic Aperture Radar Model by Shuang Wang, Genyuan Liu, Zhihong Song, Keming Yang, Ming Li, Yansi Chen, Minhua Wang

“…The ISK-DPIM-InSAR model constructs the inversion equations of InSAR line-of-sight deformation, north–south and east–west horizontal movement deformation, vertical deformation, inverts the optimal values of the predicted parameters of the workforce through the particle swarm algorithm, and substitutes it into the ISK-DPIM-InSAR model for predicting the three-dimensional dynamic deformation of a mining face. …”
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Analysis and validation of serum biomarkers in brucellosis patients through proteomics and bioinformatics by Xiao Li, Bo Wang, Xiaocong Li, Juan He, Yue Shi, Rui Wang, Dongwei Li, Ding Haitao, Ding Haitao

“…Machine learning algorithms were subsequently used to identify the optimal combination of diagnostic biomarkers. Finally, ELISA was employed to validate the identified proteins.ResultsA total of 1,494 differentially expressed proteins were identified, revealing two co-expression modules significantly associated with the clinical characteristics of brucellosis. …”
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Ultra-Short-Term Distributed Photovoltaic Power Probabilistic Forecasting Method Based on Federated Learning and Joint Probability Distribution Modeling by Yubo Wang, Chao Huo, Fei Xu, Libin Zheng, Ling Hao

“…The accurate probabilistic forecasting of ultra-short-term power generation from distributed photovoltaic (DPV) systems is of great significance for optimizing electricity markets and managing energy on the user side. …”
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Blockchain sharding scheme based on generative AI and DRL: Applied to building internet of things by Jinlong Wang, Yixin Li, Yunting Wu, Wenhu Zheng, Shangzhuo Zhou, Xiaoyun Xiong

“…Secondly, the system integrates a reinforcement learning module, DL-AI, specifically tailored for configuring parameters of the blockchain sharding system, such as the number of shards, block size, and block interval, to automatically optimize them, aiming to further enhance the system's throughput. …”
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Experimental Study on Vibration Reduction Technology of Hole-by-Hole Presplitting Blasting by Jun Ma, Xianglong Li, Jianguo Wang, Zihao Tao, Ting Zuo, Qiang Li, Xiaohua Zhang

“…In order to effectively reduce the disturbance of the precrack blasting vibration on slope rock mass, except paying attention to the damping effect of the precrack, it is also necessary to optimize the blasting parameters and initiation mode of the precrack itself. …”
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Enhanced bulk and interfacial charge transfer in Fe:VOPO4 modified Mo:BiVO4 photoanodes for photoelectrochemical water splitting by Bing He, Yu Cao, Kaijie Lin, Mingjie Wu, Yunhai Zhu, Xun Cui, Liang Hu, Yingkui Yang, Xueqin Liu

“…This work provides a general strategy for optimizing charge transfer process, especially at the interface between photoanodes and cocatalysts.…”
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Advances and Challenges in the Research of Integration Methods of Animal Experimental Evidence by ZHENG Qingyong, LI Tengfei, XU Jianguo, ZHOU Yongjia, MA Zhichao, WANG Na, LI Molan, YANG Wenjing, WU Peirun, WANG Haidong, TIAN Jinhui

“…Finally, the paper addresses the main challenges currently encountered in the integration of evidence from animal experiments and proposes targeted improvement strategies aimed at enhancing the efficiency of translating research outcomes into clinical practice and promoting the advancement of evidence-based medicine. By continuously optimizing original experimental research protocols and evidence integration practices, this work aims to establish a more efficient and scientific environment for the synthesis of evidence from animal experiments, ultimately contributing to clinical trials and human health.…”
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The first clinical experience of Marshall’s vein alcohol ablation in complex treatment of persistent atrial fibrillation by V.V. Boiko, S.V. Rybchynskyi, D.O. Lopin, A.S. Vnukova, D.Ye. Volkov

“…Current scientific data suggest that when drug therapy is ineffective, ablation of AF substrate is a most important stage in the treatment of arrhythmia, as well as optimal method of control and prevention of further cardiovascular events. …”
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Towards accurate anomaly detection for cloud system via graph-enhanced contrastive learning by Zhen Zhang, Zhe Zhu, Chen Xu, Jinyu Zhang, Shaohua Xu

“…The weight parameters of the encoder are optimized using a contrastive learning mechanism. Finally, GCAD utilizes a reconstruction technique to calculate anomaly scores, facilitating the evaluation of the state of the cloud system at each time point. …”
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Pre- and Post-Procedural Considerations and Thread Types for Thread Lifting by Gi-Woong Hong, Jovian Wan, Song-Eun Yoon, Sky Wong, Kyu-Ho Yi

“…The study concludes that optimal outcomes are achieved through careful patient selection and customized combination approaches rather than reliance on a single thread type. …”
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Machine Learning Techniques to Analyze the Influence of Silica on the Physico-Chemical Properties of Aerogels by Hamdi Chaouk, Emil Obeid, Jalal Halwani, Jack Arayro, Rabih Mezher, Omar Mouhtady, Eddie Gazo-Hanna, Semaan Amine, Khaled Younes

“…Overall, this study highlights the effectiveness of machine learning techniques like PCA in optimizing and understanding the complex inter-relationships among the physico-chemical properties of silica aerogels.…”
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