Evaluating the Performance of a Fake News Model on A Domain-Specific and Heterogeneous Dataset to Improve Detection by Georgina Obuandike, Emmy Danny Ajik, Faith Oluwatosin Echobu

“…This study aims to improve fake news detection methods in distinct domains through in-depth dataset analysis using a Convolutional Neural Network (CNN), the research-trained models using an optimized CNN model on publicly available datasets. …”
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A pilot study on treatment content in virtual reality-assisted aggression therapy at a maximum-security forensic psychiatric clinic by Fredrik Sivermo, Fernando Renee González Moraga, Märta Wallinius

“…The findings suggest the necessity of further research into optimizing VR-assisted treatments in forensic psychiatry.…”
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Motivation and physical activity across Chinese adolescents: Based on latent profile analysis. by Ying Zhao, Qinghua Wu, Wei Zheng

“…Further research could be measured by objective methods and long-term design.…”
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Strategies to Increase Teacher Innovativeness through Strengthening Learning Organisation, Creativity, Self-Efficacy and Job Satisfaction by Chatarina Febriyanti, Henny Suharyati, Widodo Sunaryo

“…This study aims to identify optimal strategies, methods, and solutions for enhancing teacher innovativeness. …”
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Improving classifier decision boundaries and interpretability using nearest neighbors by Johannes Schneider, Arianna Casanova

“…Although the improvements may not be large in all four areas, the proposed solution is conceptually simple and requires no modifications to the network architecture, training procedure, or dataset. Unlike prior methods, our approach achieves improvements without introducing trade-offs or necessitating architectural adaptations, while providing actionable insights and theoretical analysis to support its efficacy.…”
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Bayesian Regularization Backpropagation Neural Network for Glass Beams in Lateral–Torsional Buckling by Saddam Hussain, Chiara Bedon, Gaurav Kumar, Zaheer Ahmed

“…The potential and accuracy of artificial neural networks (ANN), based on ML methods, are addressed based on validation toward literature data. …”
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Time Discriminator for Satellite Radar Altimeter Tracker System by D. S. Borovitsky, A. E. Zhesterev, V. P Ipatov, R. M. Mamchur

“…The article deals with the study of quasi-optimal TOA discriminator of an onboard echo-signal tracker of the altimeter carried by a space vehicle. …”
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Psycho-Theological Learning Model to Improve Mental Resilience in Muslim Adolescents by Muhammad Zamzam, Winsidi Winsidi

“…Findings reveal that integrating Islamic theological concepts with psychological reflections enhances students’ mental resilience, promotes religious optimism, and nurtures a stable self-concept. Teachers functioned as both spiritual facilitators and emotional companions, while a spiritually nourishing learning environment proved pivotal. …”
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Bridging the diagnostic gap! Behavioral tests for acute vestibular disorders by Abdelkader Aljasem, Samer Mohsen

“…Future research with larger sample sizes is needed to further refine the optimal diagnostic protocol and explore the potential of additional tests.…”
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Resilience and online learning emotional engagement among college students in the digital age: a perspective based on self-regulated learning theory by Dandan Ge

“…Results The results showed that: firstly, resilience, self-regulated learning efficacy, self-control, cognitive reappraisal, and online learning emotional engagement were all significantly positively correlated with each other, while expressive suppression was significantly negatively correlated with resilience and self-control. …”
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Fresh versus frozen micro-TESE sperm and outcomes by Krishna Chaitanya Mantravadi, Marlon Martinez, Favian Ariiq Rahmat, Armand Achmadsyah, Missy Savira, Ponco Birowo

“…Each approach presents distinct advantages and disadvantages, with fresh sperm typically showing superior sperm quality, while frozen sperm offers logistical flexibility and a reliable backup for repeated cycles. …”
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Design of a Maize Sieving Machine. by Keshubi, Nice Alex

“…Traditional maize sieving methods are often labor-intensive and inefficient, resulting in significant post-harvest losses. …”
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Viscoelastic to elastic transformation of soft polymer properties for accelerated materials selection based on tissue dynamics in tissue engineering applications by Kamil Elkhoury, Guan-Lin Chen, Erfan Noorbakhsh Noshahri, Julio Zuazola, Nikhil Gupta, Sanjairaj Vijayavenkataraman

“…Overall, this study highlights the versatility of the viscoelastic-elastic transform method in identifying suitable materials by characterizing their strain rate-dependent mechanical properties, thereby optimizing scaffold performance to more accurately replicate the dynamic conditions encountered in human tissues.…”
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GNNSeq: A Sequence-Based Graph Neural Network for Predicting Protein–Ligand Binding Affinity by Somanath Dandibhotla, Madhav Samudrala, Arjun Kaneriya, Sivanesan Dakshanamurthy

“…The fully optimized GNNSeq model was trained and tested on subsets of the PDBbind dataset. …”
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Decoding lake water eutrophication using an innovative dynamic model pool framework in Erhai Lake by Wei Si, Zhixiong Chen, Chi Yung Jim, Ngai Weng Chan, Mou Leong Tan, Bingbing Liu, Dong Liu, Lifei Wei, Shaoyong Wang, Fei Zhang

“…However, existing remote sensing retrieval methods face limitations in addressing complex environmental variations. …”
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Placebo-Controlled Trials in the Management of Crohn’s Disease: An Umbrella Review of Meta-Analyses by Richard Silva, José Nunes de Azevedo, Jorge Pereira Machado, Jorge Magalhães Rodrigues

“…More research is needed to confirm the findings and establish optimal treatment strategies. Moreover, while biologic agents show promise, the optimal management of Crohn’s disease requires further research. …”
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Channel and Power Allocation for Multi-Cell NOMA Using Multi-Agent Deep Reinforcement Learning and Unsupervised Learning by Ming Sun, Yihe Zhong, Xiaoou He, Jie Zhang

“…In addition, due to the complex and dynamically changing wireless communication environment and the lack of the near-optimal labels, conventional supervised learning methods cannot be directly applied. …”
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Impact of Drying Temperature on the Physicochemical and Functional Properties of Butterfly Pea Flower Powder by Jagamohan Meher, Gnaniar Kalusuraman, Niraj Kumar Dewangan, Rajanandini Meher, Senthilkumar Krishnasamy, Santosh Kumar Sahu, Jayant Giri, Mohammad Kanan

“…Density measurements showed Sample C had the highest bulk density and optimal flowability, while Sample D had superior water holding capacity. …”
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Analysing the psychological capital influence on academic performance in an e-learning environment by Lama Sameer Khoshaim

“…Hope enhances problem-solving and adaptability, while optimism fosters a proactive attitude and perseverance, both vital for academic excellence. …”
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Experimental Research on Pile-Soil Stress Ratio of Rigid Pile Composite Foundation in Shallow-Buried Rock and Soft Soil by REN Jia-li, JIANG Ji-wei, HU Sheng-gang, CHEN Hang, YE Chen-hui

“…Under the two cushion conditions, the characteristic values of the bearing capacity of the single-pile composite foundation of end-bearing piles could meet the design requirements, while those of friction piles could not. The pile-soil stress ratio of end-bearing piles basically showed a monotonous increase with load, while that of friction piles showed an initial increase followed by a decrease. …”
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