Use of computer stimulating programs in patients with post-stroke cognitive impairment by S. V. Prokopenko, T. V. Dyadyuk, E. Yu. Mozheyko, A. F. Bezdenezhnykh, T. D. Koryagina, T. S. Anay-Ool

“…Objective: to evaluate the efficiency of using computer stimulation programs (CSPs) for acute ischemic stroke (IS) in patients with cognitive impairment (CI).Patients and methods. 81 patients aged 40 to 79 years with post-stroke CI (PSCI) were examined and randomized into two groups. …”
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Comparison of the effects of hydrogel and normal saline as carriers of MSC on fracture healing in a rat long bone fracture model by Kang-Il Kim, Ki-Hyeok Ku, Hyun-Mi Cho, Hyeon-Gyu Han, Myung-Seo Kim

“…Results Group H demonstrated higher SDF-1 and MCP-1 levels at 2 weeks post-fracture compared with group C. No significant differences in protein expression levels of osteogenesis-related chemokines were observed between the two groups at 6 weeks post-fracture. …”
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Key organisational barriers to effective knowledge risk management in South African public sector enterprises by Malefetjane Phaladi

“…The improved KRM can enhance public service delivery efficiency, transparency and the accountability of PSEs by addressing socio-economic developmental issues in developing economies. …”
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Prediction of one-year recurrence among breast cancer patients undergone surgery using artificial intelligence-based algorithms: a retrospective study on prognostic factors by Raoof Nopour

“…Although the survival of breast cancer is relatively high, the recurrence rate is also high, demanding effective predictive solutions to breast cancer prognosis among post-operative patients. …”
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WideConvNet: A Novel Wide Convolutional Neural Network Applied to ERP-Based Classification of Alcoholics by Abdul Baseer Buriro, Attaullah Buriro, Aziz Altaf Khuwaja, Abdul Aziz Memon, Nabeel Siddiqui, Stephen J. Weddell, Richard D. Jones

“…This paper presents WideConvNet, a novel convolutional neural network (ConvNet or CNN) that outperforms three established end-to-end models – EEGNet, Shallow Convolutional Neural Network (ShallowConvNet), and Deep Convolutional Neural Network (DeepConvNet) – in classifying event-related potentials (ERPs) from electroencephalogram (EEG) signals. …”
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CHANGING IMAGE OF TKIS: ORIGINAL, BIOSIMILAR AND GENERIC OPTIONS by Cenk Sunu

“…Kinase activity provides uncontrolled signal transduction related to cell proliferation, apoptosis and adhesion. …”
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Importance of Spectral Information, Seasonality, and Topography on Land Cover Classification of Tropical Land Cover Mapping by Chansopheaktra Sovann, Stefan Olin, Ali Mansourian, Sakada Sakhoeun, Sovann Prey, Sothea Kok, Torbern Tagesson

“…We generated 65 variables of spectral bands, indices, bi-seasonal differences, and topographic data from Sentinel-2 Level-2A and Shuttle Radar Topography Mission datasets. …”
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Turbulent Heat Transfer over roughness: a comprehensive review of theories and turbulent flow structure by Mohammadreza Kadivar, Himani Garg

“…Existing models and scaling laws for heat transfer are critically evaluated, with attention to their applicability across different roughness types and flow conditions. The review also examines the analogy between heat and momentum transfer, the impact of roughness on thermal efficiency, and higher-order turbulent statistics. …”
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Comprehensive Insights into Artificial Intelligence for Dental Lesion Detection: A Systematic Review by Kubra Demir, Ozlem Sokmen, Isil Karabey Aksakalli, Kubra Torenek-Agirman

“…These methods not only provide accurate diagnoses but also promise to enhance operational efficiency and optimize resource utilization in clinical workflows. …”
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Factors influencing value-based care application among medical students and postgraduate in Thailand by Phoomjai Sornsenee, Kittisakdi Choomalee, Kamonlak Sanphet, Kanyarat Keereerak, Techin Wongwatthanawisit, Tanyamon Wongtabpabud, Panpim Tipphayawong, Panupong Khunjun, Suppanita Tularak, Kanisorn Sungkaro, Theepat Wongkittithaworn

“…Abstract Background The adoption of Value-Based Care (VBC) is essential for enhancing healthcare quality and efficiency, with implications for future healthcare delivery. …”
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Opportunities and Challenges: The Use of ChatGPT in Enabling Library Knowledge Services by Huaming LI

“…[Purpose/Significance] The generative natural language processing model represented by ChatGPT is beginning to show great application potential in libraries, and its technical advantages coincide with the development needs of knowledge services, greatly improving the quality and efficiency of user services. [Method/Process] Starting with the introduction of ChatGPT's development history, technical advantages and theoretical and practical research achievements of Chinese and foreign academic circles, this paper explains its technical advantages in cross-modal information organization, text generation, and in-depth mining of user behavior. …”
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Behaviour of commercial layer hens in enriched cages and floor systems examined using human and video-based observations by T Chilemba, E van Marle-Köster, A Masenge, M Cromhout, T Nkukwana

“…Video-based observations confirmed that farm managers may not be able to identify certain welfare-related behavioural aspects unless they are closely monitored. …”
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Study on the Characteristics of Top-Coal Caving and Optimization of Recovery Ratio in Steeply Inclined Residual High Sectional Coal Pillar by Wenhua Yang, Xingping Lai, Pengfei Shan, Feng Cui, Yiran Yang

“…Due to the existence of arch structure, the smooth caving of the top coal was hindered, resulting in a low top-coal recovery ratio, low support pressure at the working face, and differences detected by borehole television on the distribution of the top-coal cracks. …”
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Recent advances in ultra-precision machining of lithium niobate crystals by Yebing TIAN, Chengwei WEI, Xiaomei SONG, Cheng QIAN

“…Such advancements are essential for enhancing machining efficiency, improving surface quality, and minimizing damage. …”
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Study on numerical simulation of rock breaking by PDC wear teeth cutting by Maosheng CAI, Hongbo WANG, Chunjiang ZHANG, Sai LI, Shuting CHENG

“…The stress state and temperature rise amplitude of cutting teeth under different wear heights, cutting depths, and front inclination angles are analyzed by numerical simulation. …”
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On the added value of sequential deep learning for the upscaling of evapotranspiration by B. Kraft, B. Kraft, B. Kraft, J. A. Nelson, S. Walther, F. Gans, U. Weber, G. Duveiller, M. Reichstein, W. Zhang, M. Rußwurm, D. Tuia, M. Körner, Z. Hamdi, M. Jung

“…However, a systematic evaluation of the skill and robustness of different ML approaches is an active field of research that requires more investigation. …”
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Analyzing Relationship between Urban Form and Disaster Resilience at Tehran Metropolis Neighborhoods by ESfandiar Zebardast, Mohammad mehdi Azizi, Elnaz baghernejhad

“…The results of this analysis show that different urban form components have various and even contrasting influences on resilience. …”
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Aerosols in the Mixed Layer and Mid-Troposphere from Long-Term Data of the Italian Automated Lidar-Ceilometer Network (ALICENET) and Comparison with the ERA5 and CAMS Models by Annachiara Bellini, Henri Diémoz, Gian Paolo Gobbi, Luca Di Liberto, Alessandro Bracci, Francesca Barnaba

“…Aerosol vertical stratification significantly influences the Earth’s radiative balance and particulate-matter-related air quality. Continuous vertically resolved observations remain scarce compared to surface-level and column-integrated measurements. …”
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Construction of genetic transformation system mediated by Agrobacterium rhizogenes in Vaccinium corymbosum by WU Tingting, LIU Liangqin, JIANG Yanqin, GE Chunfeng, TIAN Liangliang, LIU Mengxi, ZENG Qilong, YU Hong

“…It is noteworthy that the improvement in transformation efficiency by adding 0.05% S L-77 diminished, as the AS concentration increased. …”
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Unlocking data: Decision-maker perspectives on cross-sectoral data sharing and linkage as part of a whole-systems approach to public health policy and practice by Emily Tweed, Kristina Cimova, Peter Craig, Mirjam Allik, Denise Brown, Mhairi Campbell, David Henderson, Charlie Mayor, Petra Meier, Nick Watson

“…However, the sharing and linkage of data between different sectors are still relatively rare. Previous research has documented the perspectives of researchers and members of the public on data sharing, especially healthcare data, but has not engaged with relevant policy and practice decision-makers. …”
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