Turkish validity and reliability study of the simulation self-report cognitive load measurement tool 2.0 by Hilal Yıldız Çelik, Esra Uğur

“…Abstract Background During simulations, a student’s effort to perform the multiple tasks expected of them and the emotional burden arising from the nature of the simulation can create an excessive cognitive load for the student, negatively affecting learning results. Understanding and managing this cognitive load is crucial because it affects how well students can process information and achieve learning objectives. …”
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Mordo2: A Personalization Framework for Silent Command Recognition by Chunzhi Yi, Baichun Wei, Jianfei Zhu, Changbing Chen, Yuefan Wang, Zhiyuan Chen, Yifan Huang, Feng Jiang

“…In this work, we ease the limitation by a personalization framework that integrates spectral factorization of signals, temporal confidence rejection and commonly used transfer learning algorithms. Specifically, we first empirically formulate the user adaptation issue by presenting the accuracies of applying transfer learning algorithms to our previous method. …”
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A reflexive thematic analysis of existential losses in men with osteoporosis: “I’m not the person I was somehow … although I am” by Francine Toye, Karen Louise Barker, Sarah Drew, Tanzeela Y. Khalid, Emma M. Clark

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Explainable handcrafted features for mitotic event detection and classification by Panason Manorost, Thomas Deckers, Veerle Bloemen, Jean Marie Aerts

“…Before the classification step, features are selected using mutual information and ANOVA testing. …”
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Application of a living lab model to an evidence-based reduced-sodium healthy eating practice program in Korea: a pre-post study by Jung-Hyun Kim, Eugene Shim, Min Sook Kyung, Sooyoun Kwon, Hyoung Su Park, Jae-Heon Kang

“…Conclusion The community-based, living lab model for the sodium-reduction program effectively improved participant sodium-reduction literacy and practical competency, suggesting that step-by-step, autonomous learning, can reduce sodium intake and promote healthier eating habits.…”
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Multistep Prediction Model for Photovoltaic Power Generation Based on Time Convolution and DLinear by WANG Shuyu, LI Hao, MA Gang, YUAN Yubo, BU Qiangsheng, YE Zhigang

“…Finally， DLinear decomposes the sequence into trend and residual components， learns multiscale features through linear networks， and directly outputs multistep （four-step prediction， 15 min per step） photovoltaic power prediction results. …”
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Using Adaptive Surrogate Models to Accelerate Multi-Objective Design Optimization of MEMS by Ali Nazari, Armin Aghajani, Phiona Buhr, Byoungyoul Park, Yunli Wang, Cyrus Shafai

“…This performance boost highlights the advantages of online learning in enhancing the accuracy, speed, and diversity of solutions in MEMS optimization. …”
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Improved Snake Optimization Algorithm for Global Optimization and Engineering Applications by Kaiyuan Zheng, Huiyong Liu, Bopeng Li

“…Levy flight facilitates large random steps, balancing exploration and refinement. Adaptive step-size adjustment dynamically tunes the step size based on fitness, optimizing exploration-exploitation. …”
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Major aspects of STEM education based on U.S. government initiatives by Liliya Batyuk

“…Recognizing the decline in the literacy rate of the United States population in the second half of the 20th century and the increase in the gaps in the knowledge, skills, and professional competences of specialists in various fields, the US Government has made every effort to correct the situation. It adopted step by step a number of Laws that have become the basis and building blocks in building a STEM educational environment. …”
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Kombinasi Feature Selection Fisher Score dan Principal Component Analysis (PCA) untuk Klasifikasi Cervix Dysplasia by Krisan Aprian Widagdo, Kusworo Adi, Rahmat Gernowo

“…Dalam hal ini machine learning dapat mengatasi masalah tersebut. Akan tetapi, keakuratan machine learning bergantung pada fitur yang digunakan. …”
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A Physics-Guided Bayesian Neural Network for Sensor Fault Detection in Wind Turbines by MD Azam Khan, Arifur Rahman, Farhad Uddin Mahmud, Kanchon Kumar Bishnu, Hadiur Rahman Nabil, M. F. Mridha, Md. Jakir Hossen

“…The proposed methodology presents a step toward interpretable and reliable predictive maintenance in wind energy systems.…”
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Estimate Undergraduate Student Enrollment in Courses by Re-purposing Recommendation Tools by Md Akib Zabed Khan, Agoritsa Polyzou

“…In this work, we propose to use a course recommendation model as a first step to generate suggestions for students, and then, use those to estimate student enrollment in the courses of the next semester. …”
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Influence of psychophysiological features of the 3-d course students on their training at the department of pathological physiology SE "DMA". by V. V. Koldunov, G. A. Klopotskyi, Ju. V. Kozlova, G. S. Kaniuka, G. F. Starushkevych

“…The obtained data were compared with the results of the complex exam and the results of the licensing exam STEP-1. As a result, it was found that the psychophysiological indicators of students affect on learning performance. …”
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Detection of IPv6 routing attacks using ANN and a novel IoT dataset by Murat Emec

“…This study presents the ROUT-4-2023 dataset, which represents a step toward the security of IoT networks. This dataset simulates potential attacks on RPL-based IoT networks and provides a new platform for researchers in this field. …”
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Technique for target recognition based on intuitionistic fuzzy c-means clustering and kernel matching pursuit by Yang LEI, Wei-wei KONG, Ying-jie LEI

“…Kernel matching pursuit requires every step of searching process be global optimal searching in the redundant dictionary of function.Namely,the dictionary learning time of KMP was too long.To the above drawbacks,a novel technique for KMP based on IFCM was proposed to substitute local searching for global searching by the property superiority of dynamic clustering performance,which was also the superiority in Intuitionistic fuzzy c-means algorithm.Then two testing including classification and effectiveness were carried out towards four real sample data.Subsequently,high resolution range profile (HRRP)was selected from the classical properties of target recognition in e middle ballistic trajectory,which were extracted for getting sub-range profile.Finally,three algorithms including FCM,KMP,IFCM-KMP were carried out respectively towards different kinds of sub-range profile samples in emulation platform,the conclusion of which fully demonstrates that the IFCM-KMP algorithm is superior over FCM and KMP when it comes to target recognition in the middle ballistic trajectory.…”
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Temporalités en crise au fil des saisons : une ethnographie participative de l’ordinaire et du domestique en temps confiné et reconfiné by Delphine Burguet, Pierrine Didier

“…Confinement time is also the time of rupture (daily and professional rhythms) which announces a renewal, a contemplated time, a moment to step back and take stock.…”
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Efficient Resources Provisioning Based on Load Forecasting in Cloud by Rongdong Hu, Jingfei Jiang, Guangming Liu, Lixin Wang

“…The necessary precondition of this strategy is obtaining future load information in advance. We propose a multi-step-ahead load forecasting method, KSwSVR, based on statistical learning theory which is suitable for the complex and dynamic characteristics of the cloud computing environment. …”
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Gamification Classification as a Framework for Analysing Gamification Elements in Digital Educational Tools by Ana Vrcelj Božić, Nataša Hoić-Božić, Martina Holenko Dlab, Kristian Stančin, Tomislav Jagušt

“…Compared to game-based learning (GBL), this approach is more suitable for use in the classroom as it does not require the development of specialised educational games. …”
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Exploring the Influence of Academic Self-Efficacy, Engagement, and Test Anxiety on Students’ Success at Exam by Valentina Iuliana MANEA, Tudor MACAVEI, Costin PRIBEANU

“…In this case, passing the exam may be difficult and require a three-step trial. This research explores the relationship between success at exams and the students’ perceptions as re-gards their academic self-efficacy, learning engagement, and test anxiety. …”
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Analyzing Open Innovation Dimensions Based on Information Technology Development in Knowledge-Based Firms: Integration of BSC, FANP and DEMATEL by Gholamreza Jamali

“…All selected criteria classified according to the four perspectives of the balanced scorecard (BSC) aspects framework. In the next step, criteria weights calculated using fuzzy analytic network process (FANP) technique. …”
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