Robust Synthetic Data Generation for Sequential Financial Models Using Hybrid Variational Autoencoder–Markov Chain Monte Carlo Architectures by Francesco Bruni Prenestino, Enrico Barbierato, Alice Gatti

“…The experiments reveal the model’s scalability, maintaining high fidelity even under augmented dataset sizes and missing data scenarios. These findings position the proposed framework as a computationally efficient and structurally simple alternative to Generative Adversarial Network (GAN)-based methods, suitable for real-world applications in data-driven financial modelling.…”
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Teachers’ and students’ attitudes towards feedback: Contradictions and development trends by A. A. Azbel, L. S. Ilyushin, E. I. Kazakova, P. A. Morozova

“…Introduction. The study is based on one of the findings of J. Hattie’s meta-analysis, which proves the importance of feedback in the educational process as a critical factor affecting the quality of learning outcomes. …”
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模糊CMAC神经网络在机器人装配作业中的应用 by 吴广顺, 凌雷, 方素香, 王玉果

“…On the basis of the experimental analysis between peg’s assembly force and position,which is in the process of robot peg in hole assembly process,a fuzzy CMAC artificial neural network system which can be used in robot active assembly task is developed.Fuzzy CMAC artificial neural network which based on takagi type fuzzy reasoning method is adopted,and it’s learning algorithm is analyzed.With the wrist force sensor,the robot active assembly experiments are processed on the assembly robot which is five degree of freedom.The peg-hole assembly task with the diameter of 12 mm and the clearance of 15μm is realized.The experimental result shows that it is a new and effective method in robot active assembly process.…”
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Fuzzy Adaptive Switching Control for an Uncertain Robot Manipulators with Time-Varying Output Constraint by Yongqing Fan, Wenqing Wang, Ying Liu, Minjuan Wang

“…The novel design method is used to reduce greatly the online learning computation burden compared with traditional fuzzy adaptive control. …”
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The Concept “Student Experience” from the Point of View of Philosophical Anthropology and Developmental Psychology by V. S. Efimov, A. V. Laptevа

“…Currently, universities widely use the “instruction-based” and “consumer” models, and new models such as the “co-production” or “transformative learning” model are also being tested.The article examines the “anthropic” model of relations between the university and students, which 1) reflects the civilizational mission of the university; 2) is based on philosophical and anthropological ideas about the formation of an individual person as a “path” on which he/she discovers new realities (“horizons”) of personal and professional existence; 3) sets a new direction for research on student experience.A new concept of student experience is proposed, correlated with the “anthropic” model of relations between the university and students. …”
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Global research landscape on artificial intelligence in echocardiography from 1997 to 2024: Bibliometric analysis by Leichong Chen, Wenwen Chen, Ye Zhu, Zisang Zhang, Tingting Liu, Li Zhang

“…The journal with the most citations was the Journal of the American Society of Echocardiography . Based on keyword analysis, the current research hotspots were mainly focused on image segmentation, heart failure, deep learning, and pulmonary hypertension. …”
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European qualifications framework as support structure of national education systems integration by I. M. Alyeksyeyeva

“…The study proved that the European Framework of Educational Qualifications is an international instrument for integrating national education systems and the National Qualifications Framework of Ukraine, in general, corresponds to the principled position and reference points of the European Qualifications Framework for lifelong learning. …”
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Aquatic Education for School Children: An Educational Expert Statement from the Nordic Consortium by Monika Haga, Arja Sääkslahti, Katarina Schenker, Tine Hedegaard Bruun, Julie Dalgaard Guldager, Þórdís Lilja Gísladóttir, Bára Berghamar Danielsen, Egil Galaaen Gjølme, Jon Sundan, Helgi Winther Olsen, Øyvind Bjerke

“…Also, this statement intends to elaborate upon terminology, practical approaches, and perspectives on learning and pedagogy in aquatic education. Methods: The material for this position statement is based on a comparison of the different practices and an analysis of national documents in the Nordic countries related to aquatic education and drowning prevention. …”
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Elite Evolutionary Discrete Particle Swarm Optimization for Recommendation Systems by Shanxian Lin, Yifei Yang, Yuichi Nagata, Haichuan Yang

“…Traditional deep models are computationally expensive, while heuristic methods like particle swarm optimization struggle with discrete optimization. …”
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Increasing Minority Recall Support Vector Machine Model for Imbalanced Data Classification by Chunye Wu, Nan Wang, Yu Wang

“…The proposed algorithm provides superior performance in minority recall compared to the conventional methods. The proposed method has important practical significance in credit card fraud, medical diagnosis, and other areas.…”
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Penerapan Metode Pembelajaran Kooperatif Berbasis Kasus Terhadap Efektivitas Pembelajaran Mahasiswa Akuntansi Universitas Kristen Maranatha by Aurora Angela, Lauw Tjun Tjun, Sunardi Indrawan, Ray Krismawan

“…The result of this study shows that case-based cooperative learning method positively affects the learning effectiveness of the accounting students on Maranatha Christian University. …”
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The System Research and Implementation for Autorecognition of the Ship Draft via the UAV by Wei Zhan, Shengbing Hong, Yong Sun, Chenguang Zhu

“…In order to solve the above problems, this paper introduces the computer image processing technology based on deep learning, and the specific process is divided into three steps: first, the video sampling is carried out by the UAV to obtain a large number of pictures of the ship draft reading face, and the images are preprocessed; then, the deep learning target detection algorithm of improved YOLOv3 is used to process the images to predict the position of the waterline and identify the draft characters; finally, the prediction results are analyzed and processed to obtain the final reading results. …”
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Socioscientific issues: promoting science teachers’ pedagogy on social justice by Augusto Z. Macalalag, Alan Kaufmann, Benjamin Van Meter, Aden Ricketts, Erica Liao, Gabrielle Ialacci

“…Teachers were asked to select student artifacts (e.g. assignments, projects, essays, videos, etc.) that they thought exemplified the students’ learning of SSI and stance on social justice. Based on 21 teacher-submitted examples of exemplar student work, we saw the following example pedagogies to engage their students on social justice: (a) making connections to real-world experiences, (b) developing a community project, (c) examining social injustice, and (d) developing an agency to influence/make changes. …”
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Intellectual code analysis in automation grading by Denys Seliutin, Elena Yashyna

“…The research subjects are methods of the programming code evaluation during distance learning. …”
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The art of medicine: myth or reality? A narrative review by Ronald A. Aaron, Linda Jones

“…Our analysis and interpretations may provide a framework for the deliberate learning and teaching of AOM, thus restoring its central position in medical education and practice.…”
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Evaluasi Faktor Manfaat Sistem Lingkungan Pembelajaran 3 Dimensi Berbasis Multi-User Virtual Reality (MuVR) by Adhi Rizal, Dadang Yusup, Apriade Voutama

“…One of the emerging learning technologies is the 3-dimensional learning environment system based on Multi-user Virtual Reality (MuVR). …”
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Designing and implementation of a mobile application for teaching population oral health needs assessment for dental students; a non-randomized trial by Hadi Ghasemi, Amin Habibi, Soleiman Ahmady

“…The intervention group (7th semester) received teaching about population oral health needs assessment based on the book “Oral health surveys; basic methods”, by means of an application, while the control group (8th semester) received the same content through self-learning activity. …”
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Evaluating a preclinical orthodontic training using haptic-enhanced VR simulation system: a longitudinal study by Luwei Liu, Jinwei Qin, Yongchu Pan, Hua Wang, Xiaoqing Lu, Fengqing Chu, Lin Wang, Aimin Hao, Bin Yan, Siyang Yuan

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Next-Generation Computational Approaches for Biological Network Analysis by Hamza Ali Mari, Maham Taqi, Abrar Ahmed Rattar, Ahsan Jamal Memon, Muhammad Talha Nasir, Arleen Yousuf

“…We cover sequence-based approaches, such as homology, domain, and motif-based methods, as well as structure-based methods like structural alignment, comparison, and interface-based prediction. …”
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CAAF-ResUNet: Adaptive Attention Fusion with Boundary-Aware Loss for Lung Nodule Segmentation by Thang Quoc Pham, Thai Hoang Le, Khai Dinh Lai, Dat Quoc Ngo, Tan Van Pham, Quang Hong Hua, Khang Quang Le, Huyen Duy Mai Le, Tuyen Ngoc Lam Nguyen

“…<i>Materials and Methods</i>: Central to our approach is the Adaptive Attention Controller (AAC), which dynamically adjusts the contribution of channel and position attention based on contextual features in each input. …”
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