Characterization of C/C Composites Produced Using 3D-preforms by CVD/CVI Method for Biomedical Applications by Kerim Emre Öksüz, Ayşe Şükran Demirkıran, Cemalettin Çamyurdu, Şahin Ateş

“…The produced block piece was processed to obtain small test samples; tensile and three-point bending tests were applied to the pieces, and their densities were measured. …”
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Non-Myopic Beam Scheduling for Multiple Smart-Target Tracking in Phased Array Radar Networks by Yuhang Hao, Zengfu Wang, José Niño-Mora, Jing Fu, Quan Pan, Min Yang

“…The scheduling problem is formulated as a restless multi-armed bandit problem, where each bandit process is associated with a target and its TEC states evolve with different transition rules for different actions, i.e., either the target is tracked or not. …”
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Unveiling the atomistic mechanism of oxide scale spalling in heat-resistant alloys by Congcong Li, Wenjin Zheng, Haonan Zhong, Xiongjun Liu, Huihui Zhu, Hui Wang, Yuan Wu, Xiaobin Zhang, Zhiyang Yu, Suihe Jiang, Zhaoping Lu

“…In this study, we reveal that trace sulfur impurities contaminated in high-purity raw materials prominently segregate to the interface and form a thin intermediate amorphous-like layer between the oxide scale and alloy matrix during the oxidation process. Subsequently, cracking and spallation occur preferentially between the sulfur-rich layer and alumina scale due to the weak bonding between sulfur and alumina atoms. …”
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Unsupervised feature selection based on generalized regression model with linear discriminant constraints by Xiangguang Dai, Mingyu Guan, Facheng Dai, Wei Zhang, Tingji Zhang, Hangjun Che, Xiangqin Dai

“…Despite notable advancements in the field of unsupervised feature selection for large-scale datasets, many UFS methods still remain redundant and irrelevant features during the feature selection process. To tackle these challenges, we present a novel unsupervised feature selection method that leverages the generalized regression model with linear discriminant constraints to learn discriminant and effective features from the data. …”
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Mantle contributions to global tungsten recycling and mineralization by Jie-Hua Yang, Jing-Hua Wu, Mei-Fu Zhou, Rui-Zhong Hu, Jun-Hong Zhao, Anthony E. Williams-Jones, Qian Hu, Run-Sheng Yin

“…During this process, the mantle provides heat for inducing slab devolatilization, whereby abundant helium‒argon‒mercury‒(fluorine) are mobilized into the crust. …”
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Human Embryonic Stem Cells Acquire Responsiveness to TRAIL upon Exposure to Cisplatin by Lucie Pešková, Vladimír Vinarský, Tomáš Bárta, Aleš Hampl

“…Finally, we have demonstrated the central role of caspase 8 in this process, since its downregulation abrogated the sensitizing effect of cisplatin.…”
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Multi-Scale Feature Extraction with 3D Complex-Valued Network for PolSAR Image Classification by Nana Jiang, Wenbo Zhao, Jiao Guo, Qiang Zhao, Jubo Zhu

“…Compared to traditional real-valued neural networks, which process only amplitude information, complex-valued neural networks handle both amplitude and phase information, leading to superior performance in polarimetric synthetic aperture radar (PolSAR) image classification tasks. …”
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Unsupervised Multivariate Time Series Data Anomaly Detection in Industrial IoT: A Confidence Adversarial Autoencoder Network by Jiahao Shan, Donghong Cai, Fang Fang, Zahid Khan, Pingzhi Fan

“…Furthermore, accurately constructing the feature space of normal and abnormal classes during the reconstruction process remains a challenge. In this paper, we propose an innovative model, namely the confidence adversarial autoencoder (CAAE). …”
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Analytical Characterization of Medium Molecular Weight Chitosan from Pink Shrimp (Metapenaeus dobsoni) Shells by Ammara Tooba Akbar, Mahnaz Ahmad, Rashida Rahmat Zohra, Raheela Rahmat Zohra, Ahmad Khan, Muhammad Atiq Ur Rehman, Mohamed Abbas

“…Seafood is widely consumed across the globe and serves as a vital source of essential nutrients. However, the processing of seafood generates significant amounts of waste, including shells and scales, which hold potential for the production of valuable byproducts. …”
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Induced mitochondrial membrane potential for modeling solitonic conduction of electrotonic signals. by R R Poznanski, L A Cacha, J Ali, Z H Rizvi, P Yupapin, S H Salleh, A Bandyopadhyay

“…The implication of our results indicate that a phenomenological description of ionic current can be successfully modeled with displacement current in Maxwell's equations as a conduction process involving quasi-electrostatic interactions without the inclusion of diffusive current. …”
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Practical deployment and validation of an IoT based semantic interoperability approach for industrial interoperability in smart manufacturing by Patricia Abril-Jimenez, Diego Carvajal-Flores, Leire Bastida, Ana Moya, María Fernanda Cabrera-Umpierrez

“…Validation used a structured framework that evaluated functionality, integration, process improvement, human factors, and worker acceptance. …”
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Tank deformation analysis by combining laser scanning and photogrammetry by Ali Al-Saedi, Fanar Abed, Imzahim Alwan

“…The gaps in the point cloud coverage introduced by TLS and UAV individual measurements are eliminated following the integration process. Detailed comparison analyses are performed on cross-sections, and the results are analyzed to show potential found to comply within a few millimeters. …”
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The value of medical student hepatitis B immunisation as part of clinical skills training in the Clinical Skills Unit of the University of the Free State by E.A.M. Prinsloo, G. Joubert, L. de Bruyn, S. Adam, J. Botes

“…The aim of this study was to assess the students' perceptions regarding immunising their peers, being immunised by their peers and the educational value of this process. Methods: Medical students in Phase II of the MBChB programme were included in this observational descriptive study and participation was voluntary. …”
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Effect of Ce Doping on RGO-TiO2 Nanocomposite for High Photoelectrocatalytic Behavior by Md. Rakibul Hasan, Chin Wei Lai, Sharifah Bee Abd Hamid, Wan Jeffrey Basirun

“…Ce doped RGO-TiO2 composite films on ITO substrates were prepared by sol-gel process using tetrabutyl titanate and reduced graphene oxide (RGO) as the starting materials. …”
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Effect of variation of amount of extracting solutions on total flavonoid currency of ethanol extract of kelor leaves (Moringa oleifera L.) by Sugihartini Nining, Kusuma Putri Anindita, Kusbandari Aprilia, Hanifah Dini

“…So information is needed about optimizing the right solvent ratio during the extraction process to obtain effective and optimal results. This study was conducted to determine the effect of ethanol solvent ratio on total flavonoid content and yield. …”
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Large language model-based information extraction from free-text radiology reports: a scoping review protocol by Daniel Reichenpfader, Henning Müller, Kerstin Denecke

“…However, this data might be made available by means of information extraction (IE), based on natural language processing (NLP). Recently, a new approach to NLP, large language models (LLMs), has gained momentum and continues to improve performance of IE-related tasks. …”
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Efficient recycling of spent Li-ion battery cathodes by laser-induced high-temperature thermal shock by Ning Cao, Yang Zhang, Xin Gu, Mingbo Wu

“…This significantly enhances both the thermodynamics and kinetics of the subsequent leaching process. Leaching tests with 0.1 M HCl show that the efficiencies for Co, Ni, and Mn increase by 147.5%, 125.6%, and 140.0%, respectively, compared to untreated materials. …”
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Comprehensive Benefit Evaluation for Prefabricated Buildings Based on NSGA-II and Simulated Annealing Optimization Projection Pursuit Method by Fang Wang, Binbin Dai, Shiyu Song

“…The market promotion process of prefabricated construction has been slow, and it is significant to clarify the comprehensive benefits to enhance the willingness of construction units to support and the market share of prefabricated buildings. …”
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RESEARCH TECHNIQUE OF UNMANNED AERIAL VEHICLE DYNAMIC BEHAVIOR IN GROUND CONDITIONS WITH ACCOUNT OF FLIGHT EXPERIMENT DATA by V. N. Akimov, D. N. Ivanov, S. G. Parafes'

“…In the future, the resulting vibration process can be transferred to autonomous studies of the automatic control system and its individual units, actuator, rudder – drive system, etc. to assess their functioning in these vibration conditions. …”
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Multi-task feature integration and interactive active learning for scene image resizing by Ludan Shi, Xianhua Yan, Sen Wang

“…The primary advantages of LIAL are twofold: firstly, it maintains the local coherence of varied scenes efficiently, and secondly, it allows for the active selection process to be shaped by human interaction. By employing LIAL, we methodically represent a GSP for every scene and calculate its corresponding deep features by a multi-layer aggregating algorithm. …”
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