Digital Technologies in Urban Regeneration: A Systematic Literature Review from the Perspectives of Stakeholders, Scales, and Stages by Xiaer Xiahou, Xingyuan Ding, Peng Chen, Yuchong Qian, Hongyu Jin

“…Urban regeneration, as a key strategy for promoting sustainable development of urban areas, requires innovative digital technologies to address increasingly complex urban challenges in its implementation. With the fast advancement of digital technologies such as artificial intelligence (AI), Internet of Things (IoT), and big data, these technologies have extensively penetrated various dimensions of urban regeneration, from planning and design to implementation and post-operation management, providing new possibilities for improving urban regeneration efficiency and quality. …”
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Study on natural gas metering technology and pricing methods in China by Yunyun XIE, Yao SU, Pengtao LI, Fan ZHANG, Wenyao LIU, Jianwen GUO

“…ConclusionPromoting reforms in natural gas metering and pricing methods not only enhances resource utilization efficiency but also ensures market fairness and transparency. …”
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Modelling of Water Quality: An Application to a Water Treatment Process by Petri Juntunen, Mika Liukkonen, Marja Pelo, Markku J. Lehtola, Yrjö Hiltunen

“…This data analysis procedure seems to provide an efficient means of modelling the water treatment process and defining its most essential variables.…”
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An Investigation on Attention Mechanism–Based Long Short-Term Memory for Gearbox Fault Diagnosis by Ningning Wu, Yang Li, Xiaogang Li, Keyan Yuan, Wenyuan Jiang, Ke Li

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Genomics, phenomics, and machine learning in transforming plant research: Advancements and challenges by Sheikh Mansoor, Ekanayaka M.B.M. Karunathilake, Thai Thanh Tuan, Yong Suk Chung

“…Integration of genomics with efficient high throughput plant phenotyping as well as the potential of machine learning approaches for genomic and phenomics trait discovery.…”
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Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm by Xuehui Fan, Ruixue Ye, Yan Gao, Kaiwen Xue, Zeyu Zhang, Jing Xu, Jingpu Zhao, Jun Feng, Yulong Wang

“…Driven by chronic diseases and an aging population, there is a need to enhance the efficiency and resource allocation of outpatient facilities. …”
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Research on Equivalent Circuit Model of Flat Linear Induction Electromagnetic Pump Considering End Effect by BAI Yifan1, YAN Xin2, BI Keming2, YANG Chunwei1, DING Ming1

“…Using the results from electromagnetic analytical calculations and adhering to the principle of equal complex power in the field-circuit, end effect correction coefficients were introduced to denote the influence of end effects on the impedances in the equivalent circuit model. …”

Technical and Economic Assessment of Technologies for Forage Land Improvement by A. V. Lavrov, A. Kh. Tekushev, S. A. Davydova

“…The paper highlights that the development of the forage base relies on crop cultivation technologies that ensure high productivity, meet the domestic market’s demand for high-quality feed, reduce labor costs and increase energy efficiency in feed preparation and storage. (Research purpose) The paper aims to conduct a comparative assessment of the technical and economic indicators of traditional, intensive, and high technologies, as well as machine complexes, for forage crop production. …”
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Interaction of the Antibiotic Rifampicin with Lipid Membranes by Rui M. S. Santos, Jaime Samelo, Alexandre C. Oliveira, Margarida M. Cordeiro, Maria Julia Mora, Gladys E. Granero, Hugo A. L. Filipe, Luís M. S. Loura, Maria João Moreno

“…It is a relatively large and structurally complex molecule, including numerous polar groups. …”
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Energy Trading in Local Energy Markets: A Comprehensive Review of Models, Solution Strategies, and Machine Learning Approaches by Sania Khaskheli, Amjad Anvari-Moghaddam

“…The findings of this work will serve as a valuable resource for researchers, stakeholders, and policymakers to accelerate the adoption of the local energy market for a more efficient, sustainable, and resilient energy future.…”
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EtHgSC: Eigen Trick-Based Hypergraph Stable Clustering Algorithm in VANET by Mays Kareem Jabbar, Hafedh Trabelsi

“…To achieve high stability for the VANET, this paper presents a new efficient Eigen-trick-based hypergraph stable clustering algorithm (EtHgSC). …”
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COMPARISON OF CORONARY HEART DISEASE MORTALITY IN MEN AND WOMEN AGE 50 YEARS AND OLDER IN RUSSIA AND USA by S. A. Boytsov, O. V. Zayratiants, E. M. Andreev, I. V. Samorodskaya

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The Approach of Induced Generalized Neutrosophic Cubic Shapley Choquet Integral Aggregation Operators via the CODAS Method to Solve Distance-Based Multicriteria Decision-Making Pro... by Majid Khan, Muhammad Gulistan, Mohammed M. Al-Shamiri

“…This study aims to define a conjecture that can handle complex frames of work more efficiently that occurs in daily life problems. …”
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A versatile HPLC method collaborated with NaDES-ultrasound-assisted LLE and machine learning for purity testing and trace analysis of 1,4-benzodiazepines in crime scene evidence, h... by Walaa Nabil Abd-AlGhafar, Rasha Abo Shabana, Rania El-Shaheny, Manar M. Tolba

“…Therefore, the development of a fast, versatile, and high throughput method for the analysis of these compounds in hospital effluent and food samples from crime scenes is of paramount importance. However, efficient extraction from such complex matrices usually requires large volumes of toxic organic solvents, lengthy time, and high cost. …”
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Modeling Travel Time Reliability of Road Network Considering Connected Vehicle Guidance Characteristics Indexes by Jiangfeng Wang, Chao Wang, Jiarun Lv, Zhiqi Zhang, Cuicui Li

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Detection of Stator Faults in Three-Phase Induction Motors Using Stray Flux and Machine Learning by Ailton O. Louzada, Wesley A. Souza, Avyner L. O. Vitor, Marcelo F. Castoldi, Alessandro Goedtel

“…Feature extraction and selection are performed using a hybrid strategy combining random forest-based ranking and collinearity filtering, optimizing classification accuracy while reducing computational complexity. …”
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Lithology Identification of Buried Hill Reservoirs Based on Support Vector Machine by GAO Yongde, WU Jinbo, SUN Dianqiang

“…Using this approach, an efficient lithology identification model is established and applied to the lithology identification task of seven wells in the HZ area. …”
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POT1 stability and binding measured by fluorescence thermal shift assays. by Lynn W DeLeeuw, Robert C Monsen, Vytautas Petrauskas, Robert D Gray, Lina Baranauskiene, Daumantas Matulis, John O Trent, Jonathan B Chaires

“…The protein POT1 (Protection of Telomeres 1) is an integral part of the shelterin complex that protects the ends of human chromosomes from degradation or end fusions. …”
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Optimizing Clinical Decision Support System Functionality by Leveraging Specific Human-Computer Interaction Elements: Insights From a Systematic Review by Ali Azadi, Francisco José García-Peñalvo

“…Likewise, “alerts” provide timely information for effective decision-making and, simultaneously, are designed to avoid overwhelming users and maintain system efficiency. “Simplification” and “mental effort” also optimize workflows and reduce complexity. …”
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ACSAformer: A crime forecasting model based on sparse attention and adaptive graph convolution by Zhenkai Qin, Baozhong Wei, Baozhong Wei, Caifeng Gao, Caifeng Gao, Feng Zhu, Feng Zhu, Weiqi Qin, Weiqi Qin, Qian Zhang

“…The sparse attention mechanism further reduces the number of key tokens each query needs to attend to by computing similarity scores only for query-key pairs selected according to predefined patterns, reducing the computational complexity from O(L2) to O(L log L) and greatly improving the efficiency of long-sequence processing. …”
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