AI-assisted discovery of quantitative and formal models in social science by Julia Balla, Sihao Huang, Owen Dugan, Rumen Dangovski, Marin Soljačić

“…Here, we demonstrate the use of a machine learning system to aid the discovery of symbolic models that capture non-linear and dynamical relationships in social science datasets. …”
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Handover algorithm for space-air-ground integrated network based on location prediction model by XIE Jianli, CHEN Long, ZHANG Zepeng, LI Cuiran

“…Compared with network handover algorithms based on Q-Learning, double deep Q-network (DDQN), and dueling double deep Q-network (D3QN), the proposed algorithm performs better in terms of reducing handover delay and frequency, as well as enhancing network throughput, thereby validating the effectiveness of the proposed algorithm.…”
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Practice-Centered Education in Higher School by V. A. Starodubtsev

“…The article examines the existing models of practice-centered training (PCL) such as dual education, sandwich courses, social partnership between university and enterprise, learning through volunteering,  project activity, analyzes their merits and possible risks.…”
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Sufism and Religious Moderation: The Internalization Process in Thoriqoh Syadziliyah Al Masudiyah Jombang by Moch. Sya'roni Hasan, Mujahidin Mujahidin

“…The internalization process is done through active learning methods such as lectures, group discussions, sharing experiences, direct demonstrations, and personal advice from ustadz/murshid. …”
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Comprehension of HIV/AIDS messages in Lesotho by Olutunmise Adesola Ojo, Rudi de Lange

“…Even though the cost of the ineffective use of graphic images in information and awareness might be difficult to calculate – especially with regard to health-related problems in which lives are involved, – the effectiveness of any visual healthcommunication material in terms of meaningful learning, comprehension or retention can nevertheless be determined by means of post-testing. …”
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Exercise and Training to Optimize Functional Motor Performance in Stroke: Driving Neural Reorganization? by Roberta B. Shepherd

“…Research areas directing stroke rehabilitation are neurophysiology; adaptability to use and activity; biomechanics; skill learning; and exercise science (task, context specificity). …”
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Nasal Delivery of Asiatic Acid Ameliorates Scopolamine-Induced Memory Dysfunction in Mice by Su Lwin Lwin Myint, Ratchanee Rodsiri, Hattaya Benya-Aphikul, Tissana Rojanaratha, Garnpimol Ritthidej, Ridho Islamie

“…Therefore, intranasal administration of AA produced a rapid onset in the protection of learning and memory deficits induced by scopolamine through acetylcholinesterase inhibition and antioxidant effect.…”
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Research and Model Prediction on the Performance of Recycled Brick Powder Foam Concrete by Hongyang Xie, Jianjun Dong, Yong Deng, Yiwen Dai

“…In this paper, the effect of air bubble swarm admixture, recycled brick powder admixture, water to material ratio, and HPMC content on the physical and mechanical properties of recycled brick powder foam concrete was investigated by conducting a 4-factor, 5-level orthogonal test with recycled brick powder as fine aggregate, and the effect of each factor on the physical and mechanical properties of recycled brick powder foam concrete was derived, and the optimum ratio of recycled brick powder foam concrete was determined by analysing the specific strength. Five machine learning models, namely, back propagation neural network improved by particle swarm optimization (PSO-BP), support vector machine (SVM), multiple linear regression (MLR), random forest (RF), and back propagation neural network (BP), were used to predict the compressive strength of recycled brick powder foam concrete, and the PSO-BP model was found to have obvious advantages in terms of prediction accuracy and model stability. …”
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Identifying factors that contribute to collision avoidance behaviours while walking in a natural environment by Mohammadamin Nikmanesh, Michael E. Cinelli, Daniel S. Marigold

“…Thus, we filmed unscripted pedestrian walking behaviours on a busy urban path. We leveraged deep learning algorithms to identify and extract pedestrian walking trajectories and had unbiased raters characterize situations where two pedestrians approached each other from opposite ends. …”
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Zmiany modelu poznawczego uczniów w kontekście prac nad e-podręcznikiem by Jolanta Dyrda

“…In the context of an animated discussion about the project of an e-textbook, I intend to concentrate upon the situation of pupils who experience considerable diffi culties in the process of learning at school. …”
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Type 1 and Type 2 Diabetes Measurement Using Human Face Skin Region by L. Aneesh Euprazia, A. Rajeswari, K. K. Thyagharajan, N. R. Shanker

“…Results. The existing deep learning models are compared with the proposed MWTCNN model, which provides the highest accuracy of 98.3%. …”
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Multiple Adversarial Domains Adaptation Approach for Mitigating Adversarial Attacks Effects by Bader Rasheed, Adil Khan, Muhammad Ahmad, Manuel Mazzara, S. M. Ahsan Kazmi

“…Specifically, we use adversarial learning to learn features that are domain-invariant between multiple adversarial domains and the clean domain. …”
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Curating life in vacant spaces: Community action research and reversing the process of academic knowledge-making by Kelly Dombroski, Rachael Shiels, Hannah Watkinson

“…For activists out in the community, research and learning are happening all the time and have impact without anyone writing it up at all. …”
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An Interlayer Link Prediction Method Based on Edge-Weighted Embedding by Hefei Hu, Sirui Zhang, Yanan Wang

“…Most existing interlayer link prediction studies use embedding methods, which represent nodes in a common representation space by learning mapping functions. However, these studies often directly model links within the pre-embedding layer as equal weights, fail to effectively distinguish the strength of edge relationships, and do not fully utilize network topology information. …”
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Crack detection based on attention mechanism with YOLOv5 by Min‐Li Lan, Dan Yang, Shuang‐Xi Zhou, Yang Ding

“…Aiming at the problems of poor real‐time performance and low precision of traditional pavement crack detection, a crack detection method based on improved YOLOv5 one‐step target detection algorithm of convolutional neural network is proposed by using the advantages of depth learning network in target detection. The images were manually marked with LabelImg annotation software, and then the network model parameters were obtained through improving the YOLOv5 network training. …”
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A Technique: Exposure Therapy by Serkan AKKOYUNLU, M. Hakan TÜRKÇAPAR

“…According to the behavioral learning theories, fears which are conditioned via classical conditioning are reinforced by respondent conditioning. …”
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Teachers' Reflective Thinking on Their Professional Experiences by Cennet Tandırcı, Serkan Ünsal, Reyhan Ağçam

“…The existing literature on the teachers’ professional development informs that teaching experiences contribute both to their professional learning and development and student achievement. Yet, the research on the reflection of these experiences over their professional development is rather scarce. …”
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Telepresence Robots at the Urology and Emergency Department: A Pilot Study Assessing Patients’ and Healthcare Workers’ Satisfaction by Jens Laigaard, Trine Ungermann Fredskild, Grzegorz Lukasz Fojecki

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VARIATIVE EDUCATION IN THE CHANGING WORLD: SOCIO-CULTURAL PERSPECTIVE OF THE PRIMARY SCHOOL DEVELOPMENT by A. G. Asmolov

“…And therefore, it should transform into the school of understanding, cultural dialog, game and project didactics, variant education, and foundation for the universal learning activities and value formation. The primary school should teach productive cooperation with adults and advanced peers, help in solving complicated life tasks, and raise children’s confidence in personal strength and capability.…”
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Advanced Breast Cancer Diagnostics With PolyBreastVit: A Combined PolyNet and Vision Transformer Approach by Visalakshi Annepu, Mohamed Abbas, Hanumatha Rao Bitra, Naveen Kumar Vaegae, Kalapraveen Bagadi

“…Here is a presentation of PolyBreastVit, a novel hybrid deep learning (DL) model for the automatic detection and classification of breast cancer in ultrasound images that combines PolyNet with Vision Transformer (ViT). …”
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