Compact, Angled Polarization Splitter: Characterization of Broadband Performance and Fabrication Tolerance by Yannick D'Mello, Eslam El-Fiky, James Skoric, Amar Kumar, Michael Hui, Yun Wang, Laurent Guenin, David Patel, David V. Plant

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Evaluation of the Geomorphon Approach for Extracting Troughs in Polygonal Patterned Ground Across Different Permafrost Environments by Amin Wen, Tonghua Wu, Xiaofan Zhu, Jie Chen, Jianzong Shi, Peiqing Lou, Dong Wang, Xin Ma, Xiaodong Wu

“…The Geomorphon approach is proven to be a computationally efficient method that utilizes digital elevation models (DEMs) for terrain classification across multiple scales. …”
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Androgen Deprivation Therapy–Induced Muscle Loss and Fat Gain Predict Cardiovascular Events in Prostate Cancer Patients by Jie Lee, Yi‐Hsuan Lin, Pai‐Kai Chiang, Jhen‐Bin Lin, Ya‐Ting Jan, Wei‐Kung Tsai, Yu‐Jen Chen, Kun‐Pin Wu

“…The ΔSMI and ΔSATI were the most important features for predicting MACE in both cohorts, whereas ΔVATI and baseline body composition parameters were less influential. …”
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STA-AgriNet: A Spatio-Temporal Attention Framework for Crop Type Mapping from Fused Multi-Sensor Multi-Temporal SITS by Jayakrishnan Anandakrishnan, Venkatesan Meenkaski Sundaram, Prabhavathy Paneer

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Wearable IoT (w-IoT) artificial intelligence (AI) solution for sustainable smart-healthcare by Gurdeep Singh

“…It covers performance results rendering research science communication on machine learning models for time series analysis, regression and classification to implement defined and adaptive thresholds, adopting standard deviation and moving average, computing mean square error (MSE), root mean square error (RSME) and mean absolute error (MAE) values, utilizing exponential moving average results on multiple features, prominently targeting resting heartrate data. …”
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On the Hub Number of Ring Graphs and Their Behavior Under Graph Operations by Mohammed Alsharafi, Haifa Ahmed, Saad Tobaili

“…Bounds for hRG are also computed, as are the connections between hRG and other known ring graph characteristics. …”
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Prediction of Halo Coronal Mass Ejections Using SDO/HMI Vector Magnetic Data Products and a Transformer Model by Hongyang Zhang, Ju Jing, Jason T. L. Wang, Haimin Wang, Yasser Abduallah, Yan Xu, Khalid A. Alobaid, Hameedullah Farooki, Vasyl Yurchyshyn

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A Theoretical Study of Structural, Electronic, and Vibration Properties of Acetylcholine Chloride and Bromide by Kirill A. Gordienko, Aleksei B. Gordienko, Yurii N. Zhuravlev

“…The ever-growing capabilities of computing systems and algorithms make the first-principle methods extremely important in such research fields as biologically active compounds and complex biological systems. …”
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Current-sensorless robust sliding mode control for the DC-DC boost converter by Said Oucheriah, Abul Azad

“…A linear sliding surface is used to derive the controller that is simple in its design and yet exhibits excellent features in terms of robustness to external disturbances, parameter uncertainties, and parasitics, despite the absence of the inductor current feedback. …”
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HOTSED: A new integrated model for assessing potential hotspots of sediment sources and related sediment dynamics at watershed scale by Manuel La Licata, Alberto Bosino, Seyed Hamidreza Sadeghi, Mattia De Amicis, Andrea Mandarino, Andrea Terret, Michael Maerker

“…Subsequently, we used data stored in the IM to estimate the geomorphic Potential of Sediment Sources (PSS) through a relative scoring system. Furthermore, we computed Structural Sediment Connectivity (STC) and the Potential for Sediment Transport (PST) by combining terrain and hydrological parameters, vegetation roughness, and rainfall erosivity. …”
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Improved CSW-YOLO Model for Bitter Melon Phenotype Detection by Haobin Xu, Xianhua Zhang, Weilin Shen, Zhiqiang Lin, Shuang Liu, Qi Jia, Honglong Li, Jingyuan Zheng, Fenglin Zhong

“…By incorporating the ConvNeXt V2 module to replace the backbone network of YOLOv8, the model’s focus on critical target features is enhanced. Additionally, the SimAM attention mechanism was introduced to compute attention weights for neurons without increasing the parameter count, further enhancing the model’s recognition accuracy. …”
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Gesture Recognition System Based on Time-Frequency Point Density of sEMG by Qiang Wang, Yao Chen, Chunhua Sheng, Shuaidi Song

“…This method innovatively uses the time-frequency point density (TFPD) as the characteristic parameter of the sEMG, and then adaptively normalizes the feature extraction results in the interval [−1,1]. …”
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Predicting the thermal conductivity of polymer composites with one-dimensional oriented fillers using the combination of deep learning and ensemble learning by Yinzhou Liu, Weidong Zheng, Haoqiang Ai, Lin Cheng, Ruiqiang Guo, Xiaohan Song

“…Using Od as a feature, random forest regression (RFR) was used to predict the TC, and the accuracy R2 reached 0.954 on the test set, which was higher than that of CNN control group. …”
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Atomic Many-Body Selectivity in Cubic CsPbI₃ Solar Cell Memristor by Luis Craco, Sabrina S. Carara

“…Considering realistic Coulomb parameter values and Pb-spin-orbit interaction, we uncover relevant key features in the one-particle spectral functions for the Pb-6<i>p</i> and I-5<i>p</i> orbitals of semiconducting CsPbI₃ bulk crystal and the role played by <i>p</i> and <i>n</i> doping relevant for band-selective metallicity and current-voltage characteristics. …”
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Noncompact Myocardium with Dilated Phenotype: Manifestations, Treatment and Outcomes in Comparison with Other Forms of Dilated Cardiomyopathy Syndrome by O. V. Blagova, E. V. Pavlenko, N. V. Varionchik, V. P. Sedov, N. V. Gagarina, E. A. Mershina, M. E. Polyak, E. V. Zaklyazminskaya, A. V. Nedostup

“…To study the place of NCM in the structure of DCM, its clinical features and influence on prognosis in comparison with other forms of DCM syndrome.Methods. …”
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IDIOPATHIC LOBULAR PANNICULITIS IN RHEUMATOLOGY PRACTICE: THE AUTHORS’ OWN DATA by O. N. Egorova, B. S. Belov, S. I. Glukhova, S. G. Radenska-Lopovok

“…The determination of α1-antitrypsin titer, liver fractions, amylase, lipase, trypsin, ferritin, creatine phosphokinase, leptin, and tumor necrosis factor-α (TNFα), chest computed tomography, and induration morphological examination were done in addition to physical examination.Results and discussion. …”
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Mathematical Modeling of Cyberattack Defense Mechanism Using Hybrid Transfer Learning With Snow Ablation Optimization Algorithm in Critical Infrastructures by Mohamad Khairi Ishak

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Extracting Knowledge from Machine Learning Models to Diagnose Breast Cancer by José Manuel Martínez-Ramírez, Cristobal Carmona, María Jesús Ramírez-Expósito, José Manuel Martínez-Martos

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DeepLabV3+-Based Semantic Annotation Refinement for SLAM in Indoor Environments by Shuangfeng Wei, Hongrui Tang, Changchang Liu, Tong Yang, Xiaohang Zhou, Sisi Zlatanova, Junlin Fan, Liping Tu, Yaqin Mao

“…The proposed method utilizes MobileNetV3 as the backbone network for DeepLabV3+ to maintain segmentation accuracy while reducing computational demands. In this paper, we introduce a parameter-adaptive Density-Based Spatial Clustering of Applications with Noise (DBSCAN) clustering algorithm incorporating K-nearest neighbors and accelerated by KD-tree structures, effectively addressing the limitations of manual parameter tuning and erroneous annotations in conventional methods. …”
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An Overview of the Application of Harmony Search for Chemical Engineering Optimization by R. M. Fonseca-Pérez, O. Del-Mazo-Alvarado, A. Meza-de-Luna, A. Bonilla-Petriciolet, Z. W. Geem

“…Harmony search algorithm and its variants have been used in several applications in medicine, telecommunications, computer science, and engineering. This article reviews the global and multi-objective optimization for chemical engineering using harmony search. …”
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