Construction Concrete Price Prediction Based on a Double-Branch Physics-Informed Neural Network by Kaier Shi, Ruiqing Han, Zhipeng Li, Pan Guo

“…Moreover, a comparative analysis using a traditional ANN model is conducted to verify the efficiency of the DB-PINN model, and a parameter sensitivity analysis is performed to reveal the impact of each raw material price factor and macroeconomic indicator on the construction concrete price. …”
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Peak Arm Current Reduction of Modular Multilevel Converter Based on Particle Swarm Optimizer for Circulating Current Injections by Riyadh Toman Thahab, Tahani Hamodi Al-Mhana

“…The magnitude and phase of the injected components are treated as variables in the optimisation process, with the goal of minimising the peak arm current as the cost function. …”
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Selection of Superior Lentil (Lens esculenta M.) Genotypes by Assessing Character Association and Genetic Diversity by U. K. Nath, Santona Rani, M. R. Paul, M. N. Alam, B. Horneburg

“…However, discriminant function analysis revealed a progressive increase in the efficiency of selection and BM-70 ranked as the best followed by the genotypes BM-739, BM-680, BM-185, and BM-513. …”
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A study of the effects of situational strength on self-efficacy and happiness: comparing individualist and collectivist cultures by Young Hyun Yeo, Ju Ho Lee, Keon-Hyung Lee

“…While this may enhance organizational efficiency by minimizing variability in individual performance, it can also suppress self-expression and elevate stress—particularly for individuals in collectivist cultures who face stronger normative control. …”
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L-arginine Supplementation in Endurance Athletes: A Systematic Review of Recovery Mechanisms and Performance Enhancement by Łukasz Karoń, Anna Ewa Zygmunt, Karolina Karoń, Wojciech Grabowski, Grzegorz Drapała, Emilia Pedrycz, Daria Pedrycz

“…Recognized for its multifaceted roles in cardiovascular, immune, and metabolic functions, L-arginine serves as a precursor to biologically active molecules, including nitric oxide (NO), creatine, and polyamines, which are integral to muscle function and recovery. …”
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Local structural distortions drive magnetic molecular field in compositionally complex spinel oxide by Rukma Nevgi, Subha Dey, Nandana Bhattacharya, Soheil Ershadrad, Tinku Dan, Sujay Chakravarty, S. D. Kaushik, Christoph Klewe, George E. Sterbinsky, Biplab Sanyal, Srimanta Middey

“…We address this for a compositionally complex spinel oxide (Mn0.2Co0.2Ni0.2Cu0.2Zn0.2)Cr2O4 (A 5Cr2O4). By comparatively examining extended X-ray absorption fine structure on A 5Cr2O4 and its parent counterparts, ACr2O4, along with density functional theory calculations for multiple configurations, we find that the element-specific distortions go beyond the first neighbor. …”
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Development characteristics and potential of fault-fracture reservoir in southwest margin of Ordos Basin by HE Faqi, LI Junlu, GAO Yilong, WU Jinwei, BAI Xingying, GAO Dun

“…The induced fracture zone's proximity to the fault correlates with higher production capacity, demonstrating the spatial impact of fault structures on reservoir productivity. 3） The production characteristics of fracture wells are categorized into three stages: ① the fracture system acts as the high yield stage; ② the fracture system serves as the storage stage and plays the role of diversion; ③ the fracture's primarily function in diversion. This research significantly increases the proportion of high-yield wells in the fault-fracture reservoir, providing crucial insights for guiding efficient, ongoing exploration and development activities in the Mesozoic reservoirs on the southwest margin of the basin. …”
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An FPGA-accelerated multi-level AI-integrated simulation framework for multi-time domain power systems with high penetration of power converters by Chen Liu, Peng Su, Hao Bai, Xizheng Guo, Alber Filbà Martínez, Jose Luis Dominguez Garcia

“…By integrating AI techniques, such as back propagation neural networks, the framework predicts variables with high computational complexity, improving accuracy and simulation efficiency. …”
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Changes in Race Performance During the Underwater Phases of a 200 m Bi-Fins Race Simulation After Application of Respiratory Muscle Training—A Case Study in the Current World Recor... by Tomáš Michalica, Jakub Březina, Marek Polach, Dennis-Peter Born, Jiří Mališ, Zbyněk Svozil, Eva Kociánová

“…Maximal athletic performance can be limited by various factors, including restricted respiratory function. These limitations can be mitigated through targeted respiratory muscle training, as supported by numerous studies. …”
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Adaptive Model Predictive Control for 4WD-4WS Mobile Robot: A Multivariate Gaussian Mixture Model-Ant Colony Optimization for Robust Trajectory Tracking and Obstacle Avoidance by Hayat Ait Dahmad, Hassan Ayad, Alfonso García Cerezo, Hajar Mousannif

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Comparison of low-pressure and standard-pressure pneumoperitoneum laparoscopic cholecystectomy in patients with cardiopulmonary comorbidities: a double blinded randomized clinical... by Feng Tian, Xiaowei Sun, Yang Yu, Ning Zhang, Tao Hong, Lu Liang, Bihui Yao, Lei Song, Changhong Pei, Yu Wang, Wenlong Lu, Qiang Qu, Junchao Guo, Taiping Zhang, Xiaodong He

“…The primary outcome was postoperative partial pressure of carbon dioxide (CO2). Surgical safety variables, patient recovery, pulmonary function parameters, and surgeon comfort were also compared between groups. …”
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Multi-objective optimization of a novel control algorithm and scheduling procedure for optimal use of energy storage systems by Amirhossein Hamzeiyan, Armin Ebrahimi

“…Peak shaving with energy storage systems (ESSs) is a promising approach to optimize energy use, reduce costs, and ensure a more reliable power grid.This paper aims to improve the performance of a novel control algorithm for efficient peak shaving by using sensitivity analysis and multi-objective optimization techniques. …”
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Identification and characterization of the GH3 gene family in maize by Dong-feng ZHANG, Nan ZHANG, Tao ZHONG, Chao WANG, Ming-liang XU, Jian-rong YE

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Cognitive Agent-Based Modeling to Optimize Complex Project Management Under Uncertainty by Liliana M. Pantoja-Rojas, Marco A. Alzate-Monroy, Vactor H. Medina-Garcaa, Luis G. Moreno-Sandoval

“…Overall, the study underscores the importance of organizational continuity and the thoughtful design of collaboration parameters to achieve efficient performance in complex project settings. …”
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Review: roles of mycorrhizal symbioses and associated soil microbiomes in ecological restoration by Christine Lethielleux-Juge

“…A similar recovery period was observed for fungal communities in forest restoration, where ectomycorrhizal mycorrhizal fungi (EMF) species dominate, and diversity increased with time post-revegetation, influenced by edaphic variables and tree species. Under heavy metal (HM) contamination, microorganism classes, enzymes, and AMF efficiency vary with time, soil parameters, restoration treatments, plant species, and levels of soil contamination, with Proteobacteria and Actinobacteria being often predominant. …”
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Sc-doped GeTe thin films prepared by radio-frequency magnetron sputtering by Marek Bouška, Jan Gutwirth, Kamil Bečvář, Vladimír Kucek, Stanislav Šlang, Petr Janíček, Lubomír Prokeš, Josef Havel, Virginie Nazabal, Petr Němec

“…Abstract Radio frequency magnetron co-sputtering method employing GeTe and Sc targets was exploited for the deposition of Sc doped GeTe thin films. …”
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Unraveling novel variants in the NF1 gene and investigating potential therapeutic strategies by Jianmei Huang, Ke Yang, Yaoping Wang, Xinrui Ma, Wenke Yang, Xiaodong Huo, Jie Bai, Hongjie Zhu, Jinming Wang, Yibing Lv, Shixiu Liao

“…A retrospective analysis of 49 clinical trials over the past 20 years revealed that NF1 therapies predominantly target neurofibromin’s GTPase function. Gene therapies aiming to restore neurofibromin by transducing the truncated NF1-GRD gene have been developed but faced pre-clinical challenges, including cloning capacity, transduction efficiency, and immunogenicity caused by gene delivery. …”
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Variation in clinical and patient‐reported outcomes among complex heart failure with preserved ejection fraction phenotypes by Kelsey M. Flint, Sanjiv J. Shah, Eldrin F. Lewis, David P. Kao

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Analyses of the mechanism and therapeutic targets of senescence related genes in ischemic stroke with multi-omics approach by Nanding Li, Shanquan Jing, Kang An, Bo Jia, Yingjie Han, Zan Wang, Chengcai Li, Xiaole Li, Jiwei Wang, Wei Liu, Conghui Li

“…After normalizing GSE22255 and GSE58294 datasets, we systematically identified aging-related differentially expressed genes (DEGs). Functional annotation via Gene Set Enrichment Analysis (GSEA) and machine learning-driven Weighted Gene Co-expression Network Analysis (WGCNA) identified core genetic signatures validated in the GSE16561 cohort. …”
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Prox-STA-LSTM: A Sparse Representation for the Attention-Based LSTM Networks for Industrial Soft Sensor Development by Yurun Wang, Yi Huang, Dongsheng Chen, Longyan Wang, Lingjian Ye, Feifan Shen

“…For deep learning based soft sensors, the spatiotemporal attention (STA)-LSTM is a newly emerged technique which provides efficient predictions for quality variables of industrial processes. …”
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