Structural equation modeling to evaluate the financial performance of Indonesian conventional commercial banks by Mia Ayu Gusti, Alpon Satrianto, Candrianto, Egy Juniardi, Heppy Setya Prima

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Precise motion control for a space mining robot based on improved African vultures optimization by Baiyi Wang, Xinhua Liu, Marek Rydel, Dezheng Hua, Rafal Stanislawski, Hui Wang, Ke Feng, Zhixiong Li

“…The Henon chaotic mapping, nonlinear adaptive incremental inertial weight factor and reverse learning competition strategy are introduced to optimize the initial population position, position update method and optimal solution output, respectively. …”
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Retail Internet Trade in Russia: Standing, Trends and Further Development by Yu. N. Prokhorov, O. S. Karashchuk

“…Only one third of the population use the Internet to buy goods and the average cost of sale per one customer in the network makes up 10 500 rubles a year. Different factors exerted various influence on the dynamics of yearly cost of internetsales per one customer: the growth in the total volume of market (trade turnover) of internet-trade had a positive impact, while a share of the population using the Internet for purchases had an adverse affect. …”
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Research on monitoring and early warning systems for mine water: Progress and prospects by Shangxian YIN, Yingying DING, Huiqing LIAN, Donglin DONG, Tong DU, Huichao YIN, Peng ZHAO, Yi’an ZHANG, Xiong WANG

“…This overall development direction includes seven specific directions: constructing a comprehensive index system, optimizing the layout of the perception system, total-factor joint monitoring of multiple disasters, establishing geological-hydrological models + deep learning-based prediction models, setting early warning rules and factor thresholds, real-time and advance warning, and image monitoring and big data processing. …”
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Gene expression profiling of patient‐derived pancreatic cancer xenografts predicts sensitivity to the BET bromodomain inhibitor JQ1: implications for individualized medicine effort... by Benjamin Bian, Martin Bigonnet, Odile Gayet, Celine Loncle, Aurélie Maignan, Marine Gilabert, Vincent Moutardier, Stephane Garcia, Olivier Turrini, Jean‐Robert Delpero, Marc Giovannini, Philippe Grandval, Mohamed Gasmi, Mehdi Ouaissi, Veronique Secq, Flora Poizat, Rémy Nicolle, Yuna Blum, Laetitia Marisa, Marion Rubis, Jean‐Luc Raoul, James E Bradner, Jun Qi, Gwen Lomberk, Raul Urrutia, Andres Saul, Nelson Dusetti, Juan Iovanna

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Enhancing energy management in battery electric vehicles: A novel approach based on fuzzy Q-learning controller by Salma Ariche, Zakaria Boulghasoul, Abdelhafid El Ouardi, Abdelhadi Elbacha, Abdelouahed Tajer, Stéphane Espié

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OptiBench: An Optical Distance Measurement Test Bench Using Adaptive Algorithm With Sensor Fusion and Environmental Shielding by Kanchana Chathurangi Ahangama, Hemali Pasqual, Chinthaka Premachandra, H. Waruna Haripriya Premachandra

“…Optical Distance Measurement (ODM) systems have a wide range of applications in many sectors, including industrial, aerospace, and telecommunication. …”
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Ecogenomic insights into the resilience of keystone Blastococcus Species in extreme environments: a comprehensive analysis by Imed Sbissi, Farah Chouikhi, Faten Ghodhbane-Gtari, Maher Gtari

“…This study investigates the genomic basis of Blastococcus's adaptability within its specific microniches, offering insights into its potential for biotechnological applications. Results Comprehensive pangenome analysis revealed that Blastococcus possesses a highly dynamic genetic composition, characterized by a small core genome and a large accessory genome, indicating significant genomic plasticity. …”
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Measurement Performance Improvement of Buried Strain Sensors for Asphalt Pavement Using Mesoscale Finite Element Simulation by Haiyang Hu, Gang He, Man Huang, Dongdong Han, Hongzhou Zhu, Yongli Zhao

“…This study provides valuable guidance for the design of buried strain sensors in asphalt pavement applications.…”
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Digital twins as global learning health and disease models for preventive and personalized medicine by Xinxiu Li, Joseph Loscalzo, A. K. M. Firoj Mahmud, Dina Mansour Aly, Andrey Rzhetsky, Marinka Zitnik, Mikael Benson

“…Disease progression can vary between patients and over time, influenced by genetic and environmental factors. To address this challenge, digital twins have emerged as a promising approach, which have led to international initiatives aiming at clinical implementations. …”
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Comparison of thermal bridge calculation methods by Balázs Nagy, Martin Marosvölgyi, Zsuzsa Szalay

“…The following techniques were included in the study: a simplified method according to the Hungarian energy performance regulation where the effect of thermal bridges can be taken into account by multiplication factors applicable to thermal transmittances; a simplified thermal bridge catalogue of ISO 14683; a recent national thermal bridge catalogue; two-dimensional thermal modelling as well as a conjugated heat and moisture (HAM) simulation considering steady-state and dynamic conditions. …”
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Towards precision in bifacial photovoltaic system simulation: a model selection approach with validation by Eva-Maria Grommes, Maximilian Koch, Jean-Régis Hadji-Minaglou, Holger Voos, Ulf Blieske

“…The validation results highlight that the Ray Tracing method achieves superior accuracy in irradiance simulations, particularly under varied environmental conditions, while Variable Albedo models further enhance predictive precision by accounting for dynamic factors such as snow cover.…”
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Self-Adjusting Look-Ahead Distance of Precision Path Tracking for High-Clearance Sprayers in Field Navigation by Xu Wang, Bo Zhang, Xintong Du, Huailin Chen, Tianwen Zhu, Chundu Wu

“…The conventional approaches require extensive parameter tuning due to the complex influencing factors, while fixed look-ahead distances struggle to balance the tracking accuracy and adaptability. …”
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Proposing a quantitative index to measure the industrialisation level of building projects by Guillermo Sotorrío Ortega, Alfonso Cobo Escamilla, José A. Tenorio Ríos

“…These models, however, are usually static and do not take into consideration the influence of each work unit within the project, which reduces its applicability in specific contexts. This study develops a quantitative and adaptable methodology for evaluating an industrialisation level index in construction projects, taking into account key factors such as the proportion of the work completed in the factory and on site, the economic importance of each work unit and its contribution to the overall sustainability of the project. …”
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Systematic Literature Review on Knowledge-Driven Approaches for Construction Safety Analysis and Accident Prevention by Sonali Pandithawatta, Seungjun Ahn, Raufdeen Rameezdeen, Christopher W. K. Chow, Nima Gorjian

“…Due to its inherent complexities in the process and the dynamic interactions with external environmental factors, the construction industry is widely considered one of the most hazardous industries worldwide. …”
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A Latency-Aware and Resource-Efficient Content Caching Scheme for Content-Centric Networks by Yasar Khan, Rao Naveed Bin Rais, Osman Khalid, Imran Ali Khan

“…However, existing caching strategies often optimize isolated metrics like hit ratio, leading to suboptimal performance in latency or resource usage, employ inefficient eviction policies like Least Recently Used (LRU)/Least Frequently Used (LFU) unsuitable for dynamic content, or create excessive redundancy. They struggle to balance conflicting factors such as content popularity, freshness, latency, diversity, and resource constraints. …”
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Breast cancer risk assessment tool: Observations from an Indian cohort by Somesh Chandra, Shantanu Chandra, Veer Kanani

“…It is multifactorial in causation and the risk is dynamic and changeable over time. A risk assessment tool helps to evaluate an individual’s risk at a particular point in time. …”
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Forecasting of Islamic Stock Index in Turkey with Deep Learning Using Index-Based Features by Dilşad Tülgen Çetin, Sedat Metlek

“…The Islamic stock market is a dynamic platform that provides a suitable environment for investors to invest in shares that comply with Islamic law. …”
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Deep learning-based action recognition for joining and welding processes of dissimilar materials by Tao He, Xinyuan Jin, Yiming Zou

“…These processes are influenced by variations in material behavior, dynamic changes in process parameters, and environmental factors, making real-time action recognition a critical tool for ensuring consistent quality, efficiency, and reliability. …”
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The S-O-R framework in action: The impact of source credibility, interactivity, and perceived usefulness on consumer engagement and trust in live streaming commerce by K. Subathra, Paul Arun Kumar J

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