Void Detection of Airport Concrete Pavement Slabs Based on Vibration Response Under Moving Load by Xiang Wang, Ziliang Ma, Xing Hu, Xinyuan Cao, Qiao Dong

“…Scaled down slab models were constructed and subjected to controlled moving load simulations. Acceleration signals were collected and analyzed to extract time–frequency domain features, including power spectral density (PSD), skewness, and frequency center. …”
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Advanced Cluster-Based Load Forecasting and Peak Demand Management for Electric Vehicle Charging Networks by Yashvi Mudgal, Rajive Tiwari, Narayanan Krishnan, Alexander Aguila Tellez

“…Regression models, including Random Forest, SVM, and Logistic Regression, are applied to forecast load demand, with refined datasets and feature engineering techniques.The proposed methodology, implemented in Python and MATLAB, integrates a Battery Energy Storage System (BESS) for peak demand curtailment, demonstrating scalability for 1000 EVs. …”
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RESEARCH ON THE FATIGUE CRACK PROPAGATION OF AIRCRAFT FUSELAGE SKIN UNDER UNIFORM PRESSURIZED LOAD (MT) by LIU LiPing, HAN HaoHao, LIU JiaHuan, BAO Rui, LIN YueGuo

“…The instantaneous fracture zone is a typical dimple feature with different sizes.…”
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Detection and Classification of Abnormal Power Load Data by Combining One-Hot Encoding and GAN–Transformer by Ting Yang, Hongyi Yu, Danhong Lu, Shengkui Bai, Yan Li, Wenyao Fan, Ketian Liu

“…To provide the model with a suitable feature dataset, One-hot encoding is introduced to label different categories of abnormal power load data, enabling staged mapping and training of the model with the labeled dataset. …”
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Prediction of ultimate load capacity of demountable shear stud connectors using machine learning techniques by Ahmed I. Saleh, Nabil S. Mahmoud, Fikry A. Salem, Mohamed Ghannam

“…Abstract This study investigates the use of machine learning (ML) models to predict the ultimate load capacity of demountable shear connectors in steel–concrete composite structures. …”
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A Novel Efficient Method of Estimating Suspended‐To‐Total Sediment Load Fraction in Natural Rivers by Hyoseob Noh, Yong Sung Park, Il Won Seo

“…Monitoring the total load is difficult, especially because of the cost of the bed load transport measurement. …”
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Analytic Continual Learning-Based Non-Intrusive Load Monitoring Adaptive to Diverse New Appliances by Chaofan Lan, Qingquan Luo, Tao Yu, Minhang Liang, Wenlong Guo, Zhenning Pan

“…The method employs a lightweight model that is constructed with dual output branches using depthwise separable convolution for load identification and novelty detection. Meanwhile, a supervised contrastive learning strategy is applied to enhance the distinctiveness among appliance types in the feature extraction module. …”
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Working-memory load decoding model inspired by brain cognition based on cross-frequency coupling by Jing Zhang, Tingyi Tan, Yuhao Jiang, Congming Tan, Liangliang Hu, Daowen Xiong, Yikang Ding, Guowei Huang, Junjie Qin, Yin Tian

“…Therefore, identifying working memory load is an essential area of research. Deep learning models have demonstrated remarkable potential in identifying the intensity of working memory load. …”
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Development and Evaluation of Trans-Resveratrol-Loaded Transfersomes: Role of Cholesterol in Formulation Design for Dermal Delivery by Sarotsumpan P, Chiu IH, Wu PC, Khong NMH, Liew CV, Chutoprapat R

“…Notably, formulation F3, with a hydrogenated lecithin to cholesterol to Tween 60 ratio of 6:0:4, emerged as the optimal candidate, achieving the highest release rate (80.24% over 24 hours) while maintaining favorable permeation compared to control.Conclusion: These findings feature the potential of transfersomal systems, particularly cholesterol-free variants, as promising carriers for the effective and safe dermal delivery of trans-resveratrol. …”
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STUDY OF ANTIFRICTION POLYMERIC COATING CREEP by Sergey I. Ivanov, Natalia G. Snezhina, Nadezhda A. Khomich

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Formulation of low temperature mixed mode crack propagation behavior of crumb rubber modified HMA using artificial intelligence by Sepehr Ghafari, Mehrdad Ehsani, Sajad Ranjbar, Mohammad Nabi Nazari, Fereidoon Moghadas Nejad

“…The central goal of this research is to establish prediction models for the mixed-mode (I/II) crack propagation parameters Gb, Gf, and Gi. The features selected for modeling are Gb0, Gf0, and Gi0 (mode I), percentage of crumb rubber, type of aggregate, binder content, nominal maximum aggregate size, temperature, and normalized offset ratio. …”
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ABOUT SOME FEATURES OF TRANSMISSION MODE FOR ACTIVE POWER OF ELECTRICAL LINE by Paţiuc V., Berzan V.P., Anisimov V., Cabac S., Postotonca S.

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Features of diet in patients with cardiometabolic diseases with gout and hyperuricemia: A review by Margarita A. Gromova, Vladimir V. Tsurko, Antonina V. Starodubova, Oxana A. Kislyak

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SOME FEATURES OF THE POWER SUPPLY OF RESIDENTIAL BUILDINGS DURING THE HEATING SEASON by S. N. Osipov, V. M. Pilipenko

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Structural and functional features of myocard against the background of replacement renal therapy by O. A. Bilevich, N. V. Ovsyannikov, E. N. Loginova, V. Yu. Tereschenko, Yu. V. Tereschenko

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Formation features of composite electrochemical nickel and nanostructured zirconium boride coatings by L. A. Degtyar, I. S. Ivanina, I. Yu. Zhukova

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Features of of metabolic indicators in pregnant cows during late prenatal period by O. V. Sokolova, M. N. Isakova, M. V. Ryaposova

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Clinico3hemodynamic features of arterial hypertension in patients with metabolic syndrome by L. I. Gapon, I. A. Zhevagina, T. I. Petelina, V. A. Kalinina

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Urban Climate Mapping Based on Structural Landscape Features: The Case of Ankara by Nuriye Ebru Yıldız, Şükran Şahin

“…This study aims to map the urban climate of Ankara based on structural landscape features. The method is based on calculating the negative and positive effects of the parameters that shape the urban form on the thermal load and dynamic potential in the city. …”
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Nonmotor Features in Parkinson’s Disease: What Are the Most Important Associated Factors? by Liis Kadastik-Eerme, Mari Muldmaa, Stella Lilles, Marika Rosenthal, Nele Taba, Pille Taba

“…Patients with postural instability and gait disorder (PIGD) dominance or with the presence of motor complications had higher MDS-UPDRS Part I scores expressing the load of nonmotor features, compared to participants with other disease subtypes or without motor complications. …”
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