Transfer Learning Estimation and Transferability of LNC and LMA Across Different Datasets by Yingbo Wang, Mengzhu He, Lin Sun, Yong He, Zengwei Zheng

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Carbon-rich Dust Injected into the Interstellar Medium by Galactic WC Binaries Survives for Hundreds of Years by Noel D. Richardson, Micaela Henson, Emma P. Lieb, Corey Kehl, Ryan M. Lau, Peredur M. Williams, Michael F. Corcoran, J. R. Callingham, André-Nicolas Chené, Theodore R. Gull, Kenji Hamaguchi, Yinuo Han, Matthew J. Hankins, Grant M. Hill, Jennifer L. Hoffman, Jonathan Mackey, Anthony F. J. Moffat, Benjamin J. S. Pope, Pragati Pradhan, Christopher M. P. Russell, Andreas A. C. Sander, Nicole St-Louis, Ian R. Stevens, Peter Tuthill, Gerd Weigelt, Ryan M. T. White

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Improving the Capacity of NOMA Network Using Multiple Aerial Intelligent Reflecting Surfaces by Le Si Phu, Tan N. Nguyen, Miroslav Voznak, Ba Cao Nguyen, Tran Manh Hoang, Bui Vu Minh, Phuong T. Tran

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SOLEDGE3X full vessel plasma boundary simulations of ITER non-active phase plasmas by N. Rivals, P. Tamain, Y. Marandet, X. Bonnin, J.-S. Park, H. Bufferand, R.A. Pitts, G. Falchetto, H. Yang, G. Ciraolo

“…The onset of detachment in the ITER machine is analyzed in this work through the help of 2D-axisymmetric boundary plasma simulations with the SOLEDGE3X-EIRENE code, which features a numerical domain for the plasma solver extending up to the first wall. …”
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Jumping knowledge graph attention network for resource allocation in wireless cellular system by Qiushi Sun, Zhou Fang, Yin Li, Ovanes Petrosian

“…Abstract Next-generation wireless networks are characterized by two essential features: ubiquitous connectivity and high-speed data transmission. …”
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Determination of the positioning accuracy of industrial manipulators using a digital photo/video camera by N. V. Norkina, F. A. Mevis

“…The accuracy of positioning is influenced by the design features of the robot manipulator, the speed of movement and rotation of the manipulator, intermediate stops and accelerations, vibrations, both own and caused by the location of the robot in production. …”
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Masses of Hadrons, Tetraquarks, and Pentaquarks Through a Tsallis-Entropy Approach in the MIT Bag Model by Vanesa Fernández, Gerardo Herrera Corral, Manuel A. Matías Astorga, Jesús M. Sáenz

“…We compute the system’s internal energy and derive expressions for hadronic masses, showing how they depend on the Tsallis parameter. …”
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A dual-task segmentation network based on multi-head hierarchical attention for 3D plant point cloud by Dan Pan, Baijing Liu, Lin Luo, An Zeng, Yuting Zhou, Kaixin Pan, Zhiheng Xian, Yulun Xian, Yulun Xian, Licheng Liu

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Agent-Based Adaptive Dynamic Round Robin (AADRR) Scheduling Algorithm by Zafar Iqbal Khan, Muzafar Khan, Syed Nasir Mehmood Shah

“…This agent operates independently by keeping an eye on system parameters and making the required adjustments in real-time without requiring human intervention. …”
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A secure and energy-efficient routing using coupled ensemble selection approach and optimal type-2 fuzzy logic in WSN by S. Ambareesh, Pundalik Chavan, S. Supreeth, Rajesh Nandalike, P. Dayananda, S. Rohith

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A dynamic global backbone updating for communication-efficient personalised federated learning by Zhao Yang, Qingshuang Sun

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Prediction of the tensile strength of sandstones using image processing and GMDH techniques by Amin Taheri-Garavand, Yasin Abdi, Yudong Zhang

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Comparison of the burden of musculoskeletal disorders between China and worldwide data using the global burden of disease dataset from 1990 to 2021 by Zhongbiao Nie, Ran Zhang, Yaoyao Guo, Xiang Wang, Kai Zhang, Haoliang Zhao

“…To represent the trends in the burden of MSK disorders, the average annual percentage change (AAPC) was computed using Joinpoint. Age, gender were important parameters that were used a comparative study of the disparities in the burden of MSK disorders between China and the global.Results The worldwide ASIR of MSK disorders rose from 4641.50 to 4358.54 between 1990 and 2021, and China fell from 4039.13 to 3634.09 per 100,000. …”
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A Differentiable Binary Microlensing Model Using Adaptive Contour Integration Method by Haibin Ren, Wei Zhu

“…The key feature of microlux is the implementation of a modified version of the adaptive sampling algorithm that was originally proposed by V. …”
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Clinical and Imaging Characteristics of Patients with Cervical Compressive Myelopathy Presenting with Unilateral Motor Deficits by Masatsune Sato, Hisanori Mihara, Hyonmin Choe, Takanori Niimura, Yuji Kawashima, Yutaka Inaba

“…Although the pathological classification of cervical myelopathy is well established, the quantitative analysis of its imaging features remains underexplored. This study quantitatively evaluated the imaging characteristics of unilateral motor deficit cervical compressive myelopathy. …”
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Modelling the Impact of Human Population and Its Associated Pressure on Forest Biomass and Forest-Dependent Wildlife Population by Ibrahim M. Fanuel, Damian Kajunguri, Francis Moyo

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DVAEGMM: Dual Variational Autoencoder With Gaussian Mixture Model for Anomaly Detection on Attributed Networks by Wasim Khan, Mohammad Haroon, Ahmad Neyaz Khan, Mohammad Kamrul Hasan, Asif Khan, Umi Asma Mokhtar, Shayla Islam

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Identifying gaps and optimising clinical practice and guideline of adrenal incidentaloma management by Chan Khin, Samriaz Nafees, Muhammad Haroon Riasat, Riya Raphael, Mojeed Adiat, Nicholas Mcwhirter, Fatima Ali

“…Most lesions were unilateral (87.9%) and <4 cm (94.8%), with 58.3% showing Hounsfield units <10 on non-contrast CT, indicating benign features. Hormonal workup was performed in only 53.4% of patients, with the 1 mg dexamethasone suppression test conducted in 32.8%. …”
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A bit closer to the past: the three-dimensionalization of an Inca ceremony in the north Calchaquí Valley (Salta, Argentina) by Alejandro Andrés Ferrari, Joaquín Ignacio Izaguirre, Félix Alejandro Acuto

“…Highlights: • Inca public performances were finely choreographed so that objects, places, people, landscape, and skyscape features interacted according to the main principles of imperial cosmology…”
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Assessment of the Diagnostic Accuracy of Artificial Intelligence Software in Identifying Common Periodontal and Restorative Dental Conditions (Marginal Bone Loss, Periapical Lesion... by Wael I. Ibraheem, Saurabh Jain, Mohammed Naji Ayoub, Mohammed Ahmed Namazi, Amjad Ismail Alfaqih, Aparna Aggarwal, Abdullah A. Meshni, Ammar Almarghlani, Abdulkareem Abdullah Alhumaidan

“…A pre-trained AI-based computer-aided detection (“CADe”) software (Second Opinion^®, version 1.1) was used for the detection of the predefined features. …”
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