Fault Location on Radial Distribution Systems Using Wavelets and Artificial Neural Networks with a New Data Processing Feature by NERI Jr., A. L., MOREIRA, F. A., de SOUZA, B. A.

“…The common methods to locate the fault in electrical distribution systems use the final user information or some heuristics with fuse coordination and the loss of loads. In this paper, a new algorithm for fault location in distribution power systems is presented. …”
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A polymer-based MEMS loudspeaker featuring a partially stiffened membrane actuated by a PZT thin film by Romain Liechti, Christel Dieppedale, Timothée Rotrou, Gwenaël Le Rhun

“…Here we show a polymer-based loudspeaker that features a partially stiffened membrane actuated by a transferred thin film of lead zirconate titanate. …”
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EccDNA atlas in male mice reveals features protecting genes against transcription-induced eccDNA formation by Xue Liang, Gerard Arrey, Yating Qin, Lucía Álvarez-González, Judith Mary Hariprakash, Jie Ma, Sylvester Holt, Peng Han, Yonglun Luo, Hanbo Li, Aurora Ruiz-Herrera, Henriette Pilegaard, Birgitte Regenberg

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Immunopathological features of highly pathogenic Korean Lineage B PRRSV-2: insights into virulence indicators and host immune responses by Gyeong-Seo Park, Gyeong-Seo Park, Seung-Chai Kim, Hwan-Ju Kim, Chang-Gi Jeong, Chang-Gi Jeong, Sang-Chul Kang, Go-Eun Shin, Seoung-Hee Kim, Hye-Young Jeong, Kyoung-Ki Lee, Sang-Myeong Lee, Won-Il Kim

“…This study aimed to elucidate the immunopathological features of two Korean-specific Lineage B (LKB) strains, GGYC45 and PJ10, compared with a vaccine-like L5 strain, M8.MethodsThirty, 4-week-old piglets were divided into M8-, GGYC45-, PJ10-infected groups, and control. …”
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Macular form of post-kala-azar dermal leishmaniasis: Clinical features, diagnosis, and significance in the Kala-Azar Elimination Programme by V. Ramesh, Nilay Kanti Das

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Flaw-YOLOv5s: A Lightweight Potato Surface Defect Detection Algorithm Based on Multi-Scale Feature Fusion by Haitao Wu, Ranhui Zhu, Hengren Wang, Xiangyou Wang, Jie Huang, Shuwei Liu

“…To elevate detection accuracy as well as shorten the computational load of the model, this paper proposes a lightweight Flaw-YOLOv5s algorithm for potato surface defect detection. …”
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A unique statistical framework to predict the health of a machine by utilizing the vibration features of rolling element bearing data by Saima Bhatti, Fozia Shaikh, Asif Mansoor, Asif Ali Shaikh

“…The Root Mean Square (RMS) value is a widely used statistical feature in Condition Monitoring (CM), providing a reliable and quantitative technique for detecting early-stage bearing faults. …”
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A combined prediction model for middle and long-term water and sediment forecasting based on causal analysis feature selection by XuanZhao Kong, KeBin Shi, HaiKun Yao, SiHai Liu

“…New hydrological insights for the region: By employing causal analysis instead of conventional feature selection and applying SHAP for LSTM gradient interpretation, we identify key causal variables: historical runoff, temperature, and evapotranspiration primarily govern reservoir inflow (with snowmelt being the dominant water source), while runoff, historical sediment load, and Nino1+2 most influence sediment inflow. …”
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Efficient Distributed Denial of Service Attack Detection in Internet of Vehicles Using Gini Index Feature Selection and Federated Learning by Muhammad Dilshad, Madiha Haider Syed, Semeen Rehman

“…The Gini index assists in filtering out important features, hence simplifying the models for higher accuracy. …”
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Hybrid feature-time series neural network for predicting ACL forces in martial artists with resistive braces after reconstruction by Dongyue Li, Haojie Li, Yang Hang

“…High-resolution kinematic and kinetic data were collected at T3, while ACL forces were computed at T3 using OpenSim musculoskeletal modeling. A feature-embedded temporal convolutional neural network (TCN) fused time-series gait data (T3) with static features (T0-T3) to predict ACL forces.ResultsThe hybrid TCN model achieved superior ACL force prediction accuracy, with a mean R2 = 0.63 (EG), R2 = 0.58 (CG), and R2 = 0.62 (combined cohort) in three-fold cross-validation. …”
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FEATURES OF THE OPERATION OF A WIDE-CUT FRONTAL-MOVING IRRIGATION MACHINE AND JUSTIFICATION OF THE FORCE ANALYSIS OF THE CENTRAL ARTICULATED SUPPORT by Alexey V. Kravchuk, Boris N. Beltikov, Tatyana A. Pankova

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A multiple improved envelope spectra via feature optimization gram (MIESFO-gram) for diagnosis of compound fault signatures by Yazdanianasr Mahsa, Mauricio Alexandre, Gryllias Konstantinos

“…In this paper, Multiple Improved Envelope Spectra via Feature Optimization gram (MIESFO-gram) is introduced with the aim of finding all possible unique frequency bands occupied by cyclic frequencies and identifying different types of faults. …”
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Finite Element Analysis of the Influence that Bone Density and Implant Fixation Features have on Total Ankle Tibial Component Stability by Joshua E. Johnson PhD, Gabriel Clarke MS, Cesar de Cesar Netto MD, PhD, Bopha Chrea MD, Donald D. Anderson PhD

“…Conclusion: We investigated the influence of bone density on implant-bone micromotions with varying primary fixation features using FEA. The model predicts that micromotions are less in average-density bone, regardless of implant fixation features. …”
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Psychological Features of 7-8 Grade Students Interaction with Hypertext: A Theoretical and Experimental Study Using an Eye Tracker by N.A. Borisenko, A.A. Ganicheva, K.V. Mironova, S.V. Shishkova

“…</strong> To present a pilot experimental study aimed at identifying, using an eye tracker, the features of the primary perception of an educational hypertext by 7&ndash;8 grade students, their orientation in the text and the distribution of attention in the process of working with the main text and hyperlinks. …”
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VCNet: Optimized Deep Learning framework with deep feature extraction and genetic algorithm for multiclass rice crop disease detection by Sanam Salman Kazi, Bhakti Palkar, Dhirendra Mishra

“…The study focuses on developing a shallow model with deep feature extraction to bring down the computational load with reduced time for training without compromising on any performance parameters. …”
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Long-Term Permissible Load Currents of Single-Core Cables with a Voltage of 10 kV with Cross-Linked Polyethylene Insulation of Various Designs by M. E. Vysotski

“…The purpose of this study is to analyze the influence of the above-mentioned factors on the long-term permissible load currents. The paper presents formulas for calculating the long-term permissible load current, which take into account the design features of the cables under consideration. …”
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Air Conditioning Load Forecasting for Geographical Grids Using Deep Reinforcement Learning and Density-Based Spatial Clustering of Applications with Noise and Graph Attention Netwo... by Chuan Long, Xinting Yang, Yunche Su, Fang Liu, Ruiguang Ma, Tiannan Ma, Yangjin Wu, Xiaodong Shen

“…Air conditioning loads in power systems exhibit spatiotemporal heterogeneity across geographical regions, complicating accurate load forecasting. …”
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Fabrication and appraisal of axitinib loaded PEGylated spanlastics against MCF- 7 and OV- 2774 cell lines using molecular docking methods and in-vitro study. by Randa Mohammed Zaki, Basmah Nasser Aldosari, Layla A Alkharashi, Alyaa Alsalhi, Obaid Afzal, Bodoor Ghanem Alanazi, Maha Alsunbul, Rawan Bafail, Fatma I Abo El-Ela, Hanan O Farouk

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Capabilities-Based Approach to Parameters Selection for Manipulators of Man-Portable Unmanned Ground Vehicles by Tomasz Krakówka, Andrzej Typiak, Rafał Typiak, Maciej Cader

“…In the second stage, a detailed load analysis is performed. A distinctive feature of the proposed method is the use of optimization techniques to determine the maximum possible loads during load case definition. …”
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Substorm Identification With the WINDMI Magnetosphere ‐ Ionosphere Nonlinear Physics Model by P. Adhya, E. Spencer, M. Kayode‐Adeoye

“…We analyze these lists, aggregate them and use the WINDMI model to assess the identified events, emphasizing the loading/unloading mechanism in substorm dynamics. …”
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