Taking into account students' psychotypes and using their neuropsychological maps when implementing digital educational technologies within the Metaverse by Galiya Ldokova, Svetlana Frumina, Suad Abdalkareem Alwaely

“…The scientific contribution of the authors is to confirm the relationship between the students' psychotype, the dominant activity of the brain lobes, and the level of academic success, which substantiates the positive significance of individualization of learning based on the introduction of virtual and augmented reality technologies into the educational process in higher education institutions. …”
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Involving Nurses in Participatory Action Research: Facilitators and Barriers by Anne Marie Vaalburg, Petra Boersma, Elisabeth M. Wattel, Cees M.P.M. Hertogh, Robbert J.J. Gobbens

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The Underlying Cognitive Processes of Thin Slices Judgments on Teaching Quality by Konstantin Vinokic, Lukas Begrich, Mareike Kunter, Susanne Kuger

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Using Participatory Research to Develop a Culturally Responsive Early Childhood Assessment Tool by Hattie Harvey, Jennifer Pierce, Diane Hirshberg

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Nonlinear Gaussian process tomography with imposed non-negativity constraints on physical quantities for plasma diagnostics by Kenji Ueda, Masaki Nishiura

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Multi-target property prediction and optimization using latent spaces of generative model by Anirudh Jain, Markus Heinonen, Heikki Käsnänen, Julius Sipilä, Samuel Kaski

“…More specifically, random exploration is competitive with gradient-based strategies and better methods are needed.…”
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Empowering Elementary Students Through the Kampus Mengajar Program: Literacy and Numeracy Insights by Vivi Apriliatini, Elizar

“…The results demonstrate that the Kampus Mengajar program positively contributes through activities such as reading corners and a 15-minute literacy program before formal learning sessions. …”
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Academic Motivation of Students in Secondary Economic Education: Adaptation of the AMS by Andraž Konc

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Extension of escape rooms with roleplays: promoting a sense of belonging and fostering communication skills among first-year university students by Sonja Hahn, Marie-Luise Springmann, Tamara Denninger, Mechthild Kiegelmann

“…Results from a mixed-methods evaluation are not only used to improve the scenario but also show that students build positive relationships and perceive the scenario positively. …”
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Structural Equation Model of Perceived Communication Skills and Educational Performance in Online Environments: The Role of Virtual Education and Computer Games by Akbar Jadidi Mohammadabadi

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The Digital Dilemma: Extramarital Relationships in Social Networks and the Mediating Role of Spirituality and Religious Attitudes by Akram Malekzadeh, khatoon pourmaveddat, Elahe Aslami, Maryamosadat Mirmotahar

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Factors influencing the consumers’ purchase intentions toward Organic food by Nimra Nasir

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The Merdeka Curriciulum: Teachers’ Perception about The Implementation in Teaching English at SMKN 1 Polewali by Nur Aeni, Nurul Masyithah NR, Maemuna Muhayyang, Akhtem A Dzhelilov

“…The teachers'' reveal their perception about how the merdeka curriculum giving teachers flexibility in teaching, enhancing student’s creativity, utilizing student-centred teaching method, seamless technology integration and emphasize the importance of reflection process in learning, In conclusion, the Merdeka Curriculum positively impacts the learning environment at SMK 1 Polewali, fostering dynamism and responsiveness to student needs. …”
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CO激光微加工实验台定位精度预测模型研究 by 相恒富, 张立军, 傅建中

“…In order to increase CO2 laser micromachining table position accuracy,regression modeling and forecasting methods of the linear motor position error are put forward based on LSSVM.LSSVM has excellent learning and statistical functions.Predicting model is founded by kernel function.Learning machine is trained with learning sample used known data.Further error of the system is tested and predicted with testing sample.Position error prediction about various speeds and accelerations are put forward based on LSSVM introduction radial group kernel function,and error compensation is processed.Research results indicate that the use of radial basis function of the LSSVM can improve forecast accuracy,made the forecast better results.…”
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Deep Belief Networks for Fingerprinting Indoor Localization Using Ultrawideband Technology by Junhai Luo, Huanbin Gao

“…Unlike common geometric localization methods, fingerprinting localization techniques estimate the position of target by creating a pattern matching model or regression model for the measurement. …”
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Adaptive image encryption approach using an enhanced swarm intelligence algorithm by Sachin Minocha, Suvita Rani Sharma, Birmohan Singh, Amir H. Gandomi

“…ICO-HO algorithm improves the Hippopotamus Optimization (HO) by integrating a new phase (Phase 4) to update the position of the hippopotamus. ICO-HO updates the position of hippopotamuses using ICO and opposition-based learning, which enhances the exploration and exploitation capabilities of the HO algorithm. …”
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Multi-Strategy Improved Red-Tailed Hawk Algorithm for Real-Environment Unmanned Aerial Vehicle Path Planning by Mingen Wang, Panliang Yuan, Pengfei Hu, Zhengrong Yang, Shuai Ke, Longliang Huang, Pai Zhang

“…Additionally, we proposed an optimization method for frontier position updates based on a trust domain, which better balances exploration and exploitation. …”
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Visually Secure Deep Joint Source-Channel Coding With Chaotic Map Against Deep Known-Plaintext Attack by Yuyang Fu, Katsuya Suto

“…This allows the encryption process to be designed independently of DJSCC, eliminating the need for re-training the end-to-end model. Our proposed method preserves DJSCC’s superior transmission characteristics, ensuring high-quality image reconstruction at the receiver, while effectively ensuring the security against deep learning-based known plaintext attacks (Deep KPA).…”
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A Self-Harm Awareness Training Module for School Staff: Co-Design and User Testing Study by Anne-Marie Burn, Hayley Gains, Joanna K Anderson

“…MethodsThe e-learning module design and development was guided by a person-based approach over three participatory design cycles: (1) co-design sessions with experts in mental health, self-harm, and school-based training; (2) workshops with school staff to co-design the e-learning module components and explore their views on supporting students who self-harm; and (3) user testing of the prototype and focus groups with school staff to explore acceptability and feasibility. …”
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Stereo Matching of High-Resolution Satellite Images via Hierarchical ViT and Self-Supervised DINO by X. He, M. Yang, S. Jiang, S. Jiang, W. Jiang, Q. Li

“…Since stereo matching in satellite datasets is restricted by the disparity range, the pixel-by-pixel method can reduce the limitation. In the feature extraction module, we have performed attention-based in-depth learning on the smallest-scale feature using the self-supervised DINO. …”
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