Psychological Aspects of the Organization of the Foreign Language Learning Process for Students of Non-Linguistic Specialities under Current Conditions by C. Соколовська

“…The approaches to the selection of teaching goals, tasks, forms, methods and visual aids for students of specialty “Journalism” at master’s degree level are proposed for the formation of positive motivation to learn English. …”
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A deep neural network with attention mechanism for flow prediction of compressor blade by Guanyu Gao, Gang Wang

“…Over three orders of magnitude of speedup is achieved at all batch sizes compared to traditional CFD methods, while maintaining low prediction errors.…”
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A Model for Automated Business Writing Assessment by Daniil Dmitrievich Zafievsky, Nadezhda Stanislavona Lagutina, Oksana Andreyevna Melnikova, Anatoliy Yurievich Poletaev

“…We developed algorithms for determining the corresponding numerical features using methods and tools for automatic text analysis. …”
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Progress in Regenerative Cooling and Coking Carbon Accumulation of High-Density Heat-Absorbing Hydrocarbon Fuels by Ma Zhengzheng, Mao Qian, Cheng Yifan, Shi Baolu, Wang Ningfei

“…First, the state-of-the-art progress in the field of regenerative cooling is analyzed domestically and internationally. Then, it introduces methods for determining the heat sink of endothermic hydrocarbon fuels. …”
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Evaluation of the Appropriateness of Prescribing in Geriatric Patients in Government Teaching Hospital, Karnataka by Ankita Bist, Ajay Kandpal, Savitha Anneppa, Shailendra Mishra, Kauser Sayedda, Quazi Shahir Ahmed

“…The elderly comprise one of the most vulnerable age groups. Determining optimal treatment regimens for the elderly patients is quite a challenging task. …”
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Promoting community food security learning: a case study of Ban Pa Yang, Moo 4, Tha Ngio Sub-district, Mueang District, Nakhon Si Thammarat Province, Thailand by Daycho Khaenamkhaew

“…This study aims to study: 1) The level of food security in the community, 2) The promotion of food security learning in the community, and using a mixed-methods approach by conducting quantitative and qualitative research. …”
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Occupancy-Assisted Surround-View Images 3D Object Detection by Jian Sun

“…In the modern field of surround-view 3D detection, there has been a significant increase in interest. Existing methods are mainly focused on constructing dense Bird’s Eye View(BEV) features or utilizing sparse queries for detection. …”
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Unobtrusive human activity classification based on combined time‐range and time‐frequency domain signatures using ultrawideband radar by Mohamad Mostafa, Somayyeh Chamaani

“…The ensemble bagged tree and fine K‐nearest neighbour methods showed the best performance. The results show that the two‐stage classification was more accurate than the one‐stage. …”
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A Mobile-Beacon-Assisted Sensor Network Localization Based on RSS and Connectivity Observations by Guodong Teng, Kougen Zheng, Ge Yu

“…Comparing the performance with three typical range-free localization methods in static WSNs, our lightweight MRC algorithm with limited computation and storage overhead is more suitable for very low-computing power sensor nodes that can efficiently outperform better with only basic arithmetic operations in the simulation and physical environments.…”
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Specific Learning Difficulties in Younger School-Aged Children by Sasa Stepanovic, Vladimir Ilic

“…In this master's thesis, we will attempt to determine the importance of timely diagnosis and treatment of children who have problems with reading, writing, calculation, and speech, in order to address these issues as quickly and efficiently as possible from a professional standpoint, thus contributing to the children's success in mastering school material. …”
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Interleaving between Ant Colony Optimization and Tabu Search for Image Matching by Ghusoon Basheer

“…Different non – traditional   methods are  used for solving this kind of  problem. …”
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Prevalence and Species Identifications of Camel Ixodid Ticks in Habru District, North Wollo Zone, Northeast Ethiopia by Tsedalu Yirsa, Yidersal Tizazu, Abebe Berihun, Asres Zegeye

“…ABSTRACT Background Ticks are among the most prevalent ectoparasites and carriers of important infectious diseases in animals and people worldwide, particularly in tropical and subtropical regions. Methods A cross‐sectional study from December 2023 to April 2024 sought to determine the incidence and species of camel ixodid ticks in the Habru district. …”
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Certified Robustness of Antenna Selecting Neural Networks for Massive MIMO Wireless Communications by Jaekwon Kim, Hyo-Sang Lim, Kwanghoon Choi

“…Recently, neural network-based approaches have shown promise over traditional symbolic methods, offering fixed complexity in inference and suitability for hardware implementation. …”
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Surgical Non-Regenerative Treatments for Peri-Implantitis: a Systematic Review by Ausra Ramanauskaite, Povilas Daugela, Ricardo Faria e Almeida, Nikola Saulacic

“…Surgical non-regenerative methods were found to be efficient in reducing clinical parameters. …”
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Compositional modeling of solution gas–oil ratio (Rs): a comparative study of tree-based models, neural networks, and equations of state by Aydin Larestani, Sara Sahebalzamani, Abdolhossein Hemmati-Sarapardeh, Ali Naseri

“…However, traditional experimental methods for determining these properties, particularly the solution gas–oil ratio (Rs), are time-intensive and costly. …”
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Machine learning approach for prediction of safe mud window based on geochemical drilling log data by Hongchen Cai, Yunliang Yu, Yingchun Liu, Xiangwei Gao

“…Traditional geomechanical methods for SMW determination face challenges in handling complex, nonlinear relationships within drilling datasets.PurposeThis study aims to develop robust machine learning (ML) models to predict two key SMW parameters—Mud Pressure below shear failure (MWsf) and tensile failure (MWtf)—using geochemical drilling log data from Middle Eastern carbonate reservoirs.MethodsHybrid ML models combining Least Squares Support Vector Machine (LSSVM) and Multilayer Perceptron (MLP) with optimization algorithms (Gray Wolf Optimization, GWO; Grasshopper Optimization Algorithm, GOA) were trained on 2,820 data points from three wells. …”
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Harnessing AI and Quantum Computing for Revolutionizing Drug Discovery and Approval Processes: Case Example for Collagen Toxicity by David Melvin Braga, Bharat Rawal

“…Regulatory processes may become more streamlined, using adaptive clinical trials, accelerating pathways, and better integrating digital data to reduce the time and cost of bringing new drugs to market. Computational data methods could be used to reduce the cost and time involved in experimental drug discovery, allowing researchers to simulate biological interactions and screen large compound libraries more efficiently. …”
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A Decision Making Approach for Logistics Village Selection Based on AHP-TOPSIS by Sezin Güleryüz, Şebnem Coşmuş

“…The aim of this study is to determine their rankings according to the most suitable alternative by comparing the Çandarlı, Filyos, and Iyidere logistics villages, which are in the respective provinces of İzmir, Zonguldak, and Rize and are in the planning stage, using the analytic hierarchy process (AHP) and technique for order preference by similarity to the ideal situation (TOPSIS) methods. …”
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Comparing the effects of smartphone-based and face-to-face education on the quality of life and coping skills among patients with multiple sclerosis: A randomized controlled trial by Elahe Baharian, Shahla Abolhassani, Arash Najimi, Fereshteh Ashtari

“…The use of mobile health technology to enhance health is now an excellent potential to establish a more efficient health system. The purpose of this study was to determine the effect of a self-care program using two smartphone-based education and F2F education on the QOL and coping skills of people with MS. …”
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Comprehensive Review of Lithium-Ion Battery State of Charge Estimation by Sliding Mode Observers by Vahid Behnamgol, Mohammad Asadi, Mohamed A. A. Mohamed, Sumeet S. Aphale, Mona Faraji Niri

“…Battery management systems rely on SoC estimation, utilising both hardware and software components to maintain safe and efficient battery operation. Existing SoC estimation methods are broadly classified into direct and indirect approaches. …”
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