Factors in Vaccine Refusal by Patients Applying for COVID-19 PCR Test by Ferhat ARSLAN, Behcet AL, Gorkem Alper SOLAKOGLU, Omer Faruk GULSOY, Cagatay NUHOGLU, Sema AYTEN

“…As the age grew, the rate of learning information from social media increased. Conclusions: The most common reasons for COVID-19 vaccine rejection were vaccine side effects, doubtful vaccine protection, and concerns about the lack of sufficient studies on the vaccine. …”
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Modulation of Second Messenger Signaling in the Brain Through PDE4 and PDE5 Inhibition: Therapeutic Implications for Neurological Disorders by Min Kyu Park, Hyun Wook Yang, Seo Young Woo, Dong Yeon Kim, Dae-Soon Son, Bo Young Choi, Sang Won Suh

“…Among the 11 PDE subtypes, PDE4 and PDE5 are particularly significant due to their regulation of cyclic adenosine monophosphate (cAMP) and cyclic guanosine monophosphate (cGMP) signaling, respectively, which are vital for learning, memory, and neuroprotection. This review synthesizes current evidence on the roles of PDE4 and PDE5 in neurological health and disease, focusing on their regulation of second messenger pathways and their implications for brain function. …”
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Evaluation of the Transition-to-Practice Arrangements for Novice Perioperative Nurses: Protocol for a Mixed Methods Study by Nick Nijkamp, Pauline Calleja, Ashlyn Sahay, Leanne Jack

“…This robust framework will embed empirical evidence, existing literature, and sound learning and teaching pedagogy. Results emerging from this study will be reported using the Good Reporting of Mixed Methods Study guidelines. …”
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Navigating Translation Rights: Expanding Access to Global Literature in Modern Education by Nodira Rustamova, Dilnoz Ruzieva, Umida Sharaxmetova, Leyla Burxanova, Umida Makhmudxodjayeva, Doniyorbek Imomniyozov, Azimjon Ibrokhimov

“…Translation rights present a significant challenge in educational settings, where access to foreign literature is essential for fostering cross-cultural learning and global understanding. However, restrictive copyright laws often limit the availability of translated works, creating barriers for educators and students alike. …”
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IAE-CDNet: A Remote Sensing Change Detection Network for Buildings With Interactive Attention-Enhanced by Zhaoyang Han, Linlin Zhang, Qingyan Meng, Chongchang Wang, Wenxu Shi, Maofan Zhao

“…Currently, the development of deep learning has had a positive impact on remote sensing image change detection tasks, but many current methods still face challenges in effectively processing global and local features, especially in the task of building change detection in high-resolution images containing complex scenes. …”
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Water quality prediction and carbon reduction mechanisms in wastewater treatment in Northwest cities using Random Forest Regression model by Jingjing Sun, Xin Guan, Xiaojun Sun, Xiaojing Cao, Yepei Tan, Jiarong Liao

“…The RFR algorithm integrates Bagging ensemble learning and random subspace theory to construct multiple decision trees and aggregate their predictions, thereby enhancing the model’s prediction accuracy and stability. …”
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Graph Convolution for Large-Scale Graph Node Classification Task Based on Spatial and Frequency Domain Fusion by Junwen Lu, Lingrui Zheng, Xianmei Hua, Yankun Wang

“…This fusion mechanism effectively enhances the model’s ability to learn node representations, especially in complex graph structures, with accuracy improvements of 1%-2% compared to GCN and GraphSAGE. …”
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The future of plant lectinology: Advanced technologies and computational tools by Vinicius J.S. Osterne, Kyria S. Nascimento, Benildo S. Cavada, Els J.M. Van Damme

“…Additionally, computational methods—including molecular docking, molecular dynamics simulations, and machine learning pipelines—support predictions of lectin structures and binding properties, underpinning experimental efforts. …”
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Students’ and Applicants’ Social Perceptions of the Risks of Educational Environment at Higher Education Institution by A. V. Lyalyuk, O. R. Tuchina

“…As viewed by the students, the risks within the educational environment include external and social and psychological risk factors, motivating risks and risks arising from the learning process organization and management and the related issues. …”
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Soft-Label Supervised Meta-Model with Adversarial Samples for Uncertainty Quantification by Kyle Lucke, Aleksandar Vakanski, Min Xian

“…Despite the recent success of deep-learning models, traditional models are overconfident and poorly calibrated. …”
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Hybrid Henry Gas-Harris Hawks Comprehensive-Opposition Algorithm for Task Scheduling in Cloud Computing by Nora Omran Alkaam, Abu Bakar Md Sultan, Masnida B. Hussin, Khaironi Yatim Sharif

“…This method is based on two elements: comprehensive opposition-based learning (COBL) and Harris Hawks Optimization (HHO). …”
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The influences of environmental awareness on green performance by M.H. Mansour

“…Green performance positively relates to environmental consciousness (β = 0.186, p < 0.000).CONCLUSION: Based on social cognition, social exchange, and social learning theory, this study contains theoretical insights, practical implications, and positive recommendations for hospitality managers and scholars. …”
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Multiple PM Low-Cost Sensors, Multiple Seasons’ Data, and Multiple Calibration Models by S Srishti, Pratyush Agrawal, Padmavati Kulkarni, Hrishikesh Chandra Gautam, Meenakshi Kushwaha, V. Sreekanth

“…Abstract In this study, we combined state-of-the-art data modelling techniques (machine learning [ML] methods) and data from state-of-the-art low-cost particulate matter (PM) sensors (LCSs) to improve the accuracy of LCS-measured PM2.5 (PM with aerodynamic diameter less than 2.5 microns) mass concentrations. …”
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Arnold-Chiari Malformation Type II and CYP1B1 Congenital Glaucoma: A Possible Association by Shaikha Aldossari, Amani Al Bakri, Yumna Kamal

“…The aim of reporting this case is to share the findings in this infant as it may be a new association. The main learning message here is that ACM-II patients may present with certain ocular symptoms, including glaucoma-related ones that may mimic neurological disorders. …”
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Global Dynamic Impression for Differentiating Between Epileptic and Psychogenic Nonepileptic Seizures: A Feasibility Study by Linor Avraham, Ronen Spierer, Raz Winer, Noam Bosak, Danielle Wasserman, Moshe Herskovitz

“…We asked physicians and nurses from the emergency department, internal medicine department, neurology department, and medical students to classify the videos before and after learning the GDI principle. The GDI principle is a simple clinical tool assuming repetitive movements with minimal dynamics in vector and frequency in motor PNES. …”
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Ferroelectric capacitive memories: devices, arrays, and applications by Zuopu Zhou, Leming Jiao, Zijie Zheng, Yue Chen, Kaizhen Han, Yuye Kang, Dong Zhang, Xiaolin Wang, Qiwen Kong, Chen Sun, Jiawei Xie, Xiao Gong

“…In addition, we present the computing-in-memory applications of the FCMs to realize ultra-low-power machine learning acceleration for future computing systems.…”
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MMFW-UAV dataset: multi-sensor and multi-view fixed-wing UAV dataset for air-to-air vision tasks by Yang Liu, Zhihao Sun, Lele Xi, Lele Zhang, Wei Dong, Chen Chen, Maobin Lu, Hailing Fu, Fang Deng

“…Several mainstream deep learning-based object detection architectures are evaluated on MMFW-UAV and the experimental results demonstrate that MMFW-UAV can be utilized for fixed-wing UAV identification, detection, and monitoring. …”
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THE USING OF DIGITAL TOOLS IN THE PROJECT ACTIVITIES OF STUDENTS OF PEDAGOGICAL SPECIALTIES OF HIGHER EDUCATION INSTITUTIONS by Liudmyla Nezhyva, Svitlana Palamar, Nataliia Semenii

“…The main criteria for selecting digital tools were: simple interface (so students can master its functionality faster); compliance to the State Standard for Primary Education; didactic value; accessibility (the age of pupils and the ability to comprehend tasks developed with the help of the proposed digital tools were taken into account); technical and methodological support (present on all proposed digital resources, which facilitates understanding of their interface); very important criterion is the wide functionality on a free basis; the ability to adapt in various modern conditions during offline and online learning.  For increase studentsʼ readiness to use digital tools during project activities, the authors developed an methodology for using digital tools at each stage of work on projects and investigated their effectiveness. …”
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Technology applications in bovine gait analysis: A scoping review. by Amir Nejati, Anna Bradtmueller, Elise Shepley, Elsa Vasseur

“…Among emergent technologies, deep learning and wearable sensors (e.g., accelerometers) appear to be the most promising options. …”
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Optoelectric coordinated modulation of resistive switching behavior in perovskite based synaptic device by Yucheng Wang, Ruixi Huang, Wenyi Zhang, Dingyun Guo, Jiawei Zheng, Hexin Wang, Fobao Huang, Zhuoya Wang, He Guan

“…Due to its excellent synaptic plasticity, TCP facilitates advanced neural morphological operations like light-assisted learning. Here, a modifying layer of polythiophene (P3HT) was incorporated onto the TCP thin film to enhance the resistive switching (RS) characteristics of the synaptic device, which exhibits excellent stability (103 endurance cycles and > 103 s retention time) and low energy consumption (~ 6.3 pJ for electrical stimulus and ~ 6 pJ for optical stimulus). …”
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