Energy-Oriented Economic Evaluation of Phase Shifters Utilizing Risk-Adjusted Lifecycle Cost Analysis by Hui Cai, Wanchun Qi, Zhuyi Peng, Jie Zou, Wentao Sun, Ying Zhu, Xingning Han

“…The assessment employs probability distributions and Monte Carlo simulation methods to analyze their economic performance, considering key energy-related cost factors such as initial investment, operational efficiency, maintenance, and decommissioning. …”
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Exploration of Key Factors in the Preparation of Highly Hydrophobic Silica Aerogel from Rice Husk Ash Assisted by Machine Learning by Yun Deng, Ziyan Sha, Xingxing Wang, Ke Duan, Weijie Xue, Ian Beadham, Xiaolan Xiao, Changbo Zhang

“…To expand the applications of hydrophobic silica aerogels derived from rice husk ash (HSA) through simple traditional methods (without adding special materials or processes), this paper employs machine learning to establish mathematical models to identify optimal conditions for extracting water glass and investigates how preparation conditions and heat treatment temperatures affect properties such as the porosity and hydrophobicity of HSA. …”
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Assessment of Microsatellite Genetic Diversity of Cultured Eriocheir sinensis Populations from Jiangsu and Anhui by Yuting HU, Jun LING, He JIANG, Huan WANG, Tingshuang PAN, Guoqing DUAN, Huaxing ZHOU, Min YANG, Tong LI

“…Furthermore, each population had a genetic composition similar to those of the three genetic lineage sources. Considering the high level of genetic diversity in these populations, it is possible that the parental population sources are more complex. …”
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Constructing Applied Knowledge in Nursing Students: A Learning Experience Centered on Evidence-Based Practice by Judith García-Expósito, Glòria Tort-Nasarre, Alba Torné-Ruiz, Judith Roca, Sara Esqué, Montserrat Sanromà-Ortíz

“…Aim: The aim of this study was to explore a learning experience centered on evidence-based practice through cooperative learning in an online discussion forum with nursing students. <b>Methods:</b> We employed a descriptive qualitative study with the participation of 137 nursing students. …”
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The efficacy of infrared diode laser in enhancing the regenerative potential of human periodontal ligament stem cells (hPDLSCs) by Mohamed M. Abo El-Dahab, Ghada Nour El Deen, Mahmoud Shalash, Mostafa Gheith, Ahmed Abbass, Riham M. Aly

“…Abstract Background The present study aimed to investigate the effects of infrared diode laser irradiation on the proliferation and differentiation capacity of periodontal ligament stem cells (hPDLSCs), which are optimal cell sources for periodontal regeneration. …”
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Hybrid framework for improved PM2.5 prediction based on seasonal-trend decomposition and tailored component processing by Dongbao Jia, Wenjun Ruan, Rui Ma, Shiwei Zhao, Yichen Wang, Wei Xu, Weijie Zhou, Xinxin Ge, Zhongxun Xu

“…However, accurately forecasting PM2.5 levels presents significant challenges due to the complex, non-linear, and non-stationary characteristics inherent in the PM2.5 concentration data, which are influenced by diverse meteorological conditions, emission sources, and atmospheric transport dynamics. Existing prediction methods often struggle to adequately capture these multifaceted patterns simultaneously; single models may fail to address both long-term trends and seasonal variations as well as short-term stochastic fluctuations, while many hybrid decomposition approaches may not optimally utilize techniques suited to the distinct nature of each decomposed component, thereby limiting potential accuracy improvements. …”
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Catalytic Approaches for CO2 Conversion to Value‐Added Products: An Overview of Life Cycle Assessment Studies by Anastasia Pappa, Cuong Pham‐Huu, Spiros Papaefthimiou, Spyridon Zafeiratos

“…It is highlighted that despite the widely recognized advantages of CO2‐based processes, the environmental benefits cannot be guaranteed, while the carbon intensity of the electricity source used significantly affects the outcomes. The review identifies possible improvement strategies associated with electricity sources, CO2 capture methods, catalytic processes, and H2 production pathways, as the electrification of the chemical sector shows great potential for enormous greenhouse gas (GHG) emission mitigation despite the emerging challenges.…”
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An intelligent Cuk-Luo fused DC-DC converter for standalone hybrid renewable energy system’s peak load power management by Praveen Kumar Balachandran, S. Vijaya Madhavi, Koganti Srilakshmi, Sravanthy Gaddameedhi, Ramprasad Vangalapudi, Abhinav Kumar, Shitharth Selvarajan

“…A mathematical model is developed to analyse stability challenges and design an optimal controller for the DC-DC converter. To efficiently manage power distribution from the input sources, two innovative control methods are introduced: an embedded controller and an online duty cycle estimator. …”
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Diagnostic potential of gut microbiota in Parkinson’s disease by V. A. Petrov, V. M. Alifirova, I. V. Saltykova, I. A. Zhukova, N. G. Zhukova, Yu. B. Dorofeeva, O. P. Ikkert, M. A. Titova, Yu. S. Mironova, A. E. Sazonov, M. R. Karpova

“…The gut microbiota is one of the potential sources of biomarkers, changes in the composition of which in PD are actively studied.The aim of this study is to identify microbiota biomarkers in the Parkinson’s disease with an estimated accuracy of the diagnostics, including differential diagnostics, relative to other neurological diseases for patients of the Russian population.Material and methods. …”
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Calculation of the shielding at microwave impact on oil reservoirs by Ali R. Agaev, Alexander Y. Gilmanov, Alexander P. Shevelyov

“…In the framework of the method using microwave impact for the first time determined the amount of shielding by the pipe material of this impact and determined the optimal parameters of the radiation source and the parameters of well pipe structures for effective impact on oil reservoirs. …”
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Parametric analysis of self-excited aeroelastic instability of an isolated single-axis two-dimensional flat solar tracker by Juan A. Cárdenas-Rondón, Carlos Carbajosa, Sergio Marín-Coca, Alejandro Martínez-Cava

“…The escalating global energy demand is driving a transition towards sustainable energy sources, particularly solar power, which is experiencing significant growth. …”
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Realizing the Promise of Artificial Intelligence in Hepatocellular Carcinoma through Opportunities and Recommendations for Responsible Translation by Tamer Addissouky, Majeed M. A. Ali, Ibrahim El Tantawy El Sayed, Mahmood Hasen Shuhata Alubiady

“…The results demonstrate that AI-based systems have shown promise in improving the accuracy and efficiency of HCC screening, diagnosis, and tumor characterization compared to traditional methods. Machine learning models integrating clinical, imaging, and genomic data have outperformed conventional staging systems in predicting survival and recurrence risk. …”
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Multivariate Machine Learning Model Based on YOLOv8 for Traffic Flow Prediction in Intelligent Transportation Systems by Fukui Wu, Hanzhong Tan, Linfeng Zhang, Shuangbing Wen, Tao Hu

“…Building on this, we propose a hybrid model combining Gradient Boosting Regression (GBR) and Support Vector Regression (SVR), where the GBR component captures complex nonlinear patterns in traffic flow data, while the SVR component enhances the model&#x2019;s generalization ability by optimizing predictions. Experimental results demonstrate that the proposed GBR-SVR model outperforms comparative methods in short-term traffic flow prediction, particularly under dynamic and complex traffic conditions. …”
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Enhancing patient-centered information on implant dentistry through prompt engineering: a comparison of four large language models by John Rong Hao Tay, John Rong Hao Tay, Dian Yi Chow, Yi Rong Ivan Lim, Ethan Ng, Ethan Ng

“…While prompt designs can enhance response quality, further refinement is necessary to optimize its performance.…”
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Using large language models to extract plant functional traits from unstructured text by Viktor Domazetoski, Holger Kreft, Helena Bestova, Philipp Wieder, Radoslav Koynov, Alireza Zarei, Patrick Weigelt

“…Methods We propose a natural language processing pipeline that extracts traits from unstructured species descriptions by using classification models for categorical traits and question‐answering models for numerical traits. …”
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Review and prospect of floating car data research in transportation by Chi Zhang, Yuming Zhou, Min Zhang, Bo Wang, Yuhan Nie

“…This study conducts an in-depth literature review analysis of FCD in the transportation field based on the Web of Science (WOS) database from 2000 to 2023, employing bibliometric methods and knowledge graph technologies. The current research status was visually analyzed through the literature distribution by year, research regions and institutions, research hotspots, and literature clustering using the bibliometric tool CiteSpace. …”
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Rapid and Accurate Measurement of Major Soybean Components Using Near-Infrared Spectroscopy by Chenxiao Li, Jiatong Yu, Sheng Wang, Qinglong Zhao, Qian Song, Yanlei Xu

“…Specifically, the SPASNV + D₁–RF combination achieved an RPD of 14.7 for moisture, CARS–SNV + D₁–RF reached 5.9 for protein, and CARS–SG + D₂–RF attained 12.0 for fat, all significantly surpassing alternative methods and demonstrating a strong nonlinear learning capacity and predictive precision. …”
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Artificial Intelligence in Wind Turbine Fault Detection and Diagnosis: Advances and Perspectives by Nejad Alagha, Anis Salwa Mohd Khairuddin, Zineddine N. Haitaamar, Obada Al-Khatib, Jeevan Kanesan

“…The global shift toward renewable energy, particularly wind power, underscores the critical need for advanced fault diagnosis systems to optimize wind turbine reliability and efficiency. While traditional diagnostic methods remain foundational, their limitations in addressing the nonlinear dynamics and operational complexity of modern turbines have accelerated the adoption of Artificial Intelligence (AI)-driven approaches. …”
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Mentorship in Plastic Surgery: A Systematic Review of the Current Literature and Elucidation of Recurring Themes by Benjamin K. Stone, MSc, Theodore A. Kung, MD, Turkia Abbed, MD, FACS, Ines Lin, MD, Vinay Rao, MD, MPH

“…Although mentorship programs have been described in the literature, this study aimed to elucidate the specific qualities of an effective mentor in plastic surgery. Methods:. Preferred Reporting Items for Systematic Reviews and Meta-analyses methodology was utilized to conduct a systematic review of the literature. …”
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A deep learning model to predict glioma recurrence using integrated genomic and clinical data by Jessica A. Patricoski-Chavez, Seema Nagpal, Ritambhara Singh, Jeremy L. Warner, Ece D. Gamsiz Uzun

“…Currently, no widely available models exist for reliably predicting early glioma recurrence, which is critical for optimizing patient outcomes. Machine learning (ML) and deep learning (DL) techniques have shown promise in predicting recurrence for various cancers, with those utilizing multimodal data sources showing increasing promise. …”
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