Performance assessment and influencing factors of human settlement improvement in traditional villages based on Balanced Scorecard theory: a case study of Jiaozuo, China by Yanbing He, Chenjing Yin, Xiaohu Mao, Yanhua Guo

“…This study reveals the following findings: (1) The performance level of traditional villages in Jiaozuo city ranges between 0.28 and 0.64, with an average value of 0.49, thus indicating a medium level. (2) With respect to the subdimensions of human settlement improvement performance, the policy management dimension (0.88) exhibits the highest value, followed by the villagers dimension (0.48) and the learning and growth dimension (0.27), while the financial benefits dimension (0.10) exhibits the lowest value. (3) The obstacles affecting the performance level of human settlement improvement in different types of traditional villages are characterized by both similarities and differences. …”
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A Three-Dimensional Anisotropic Diffusion Equation-Based Video Recognition Model for Classroom Concentration Evaluation in English Language Teaching by Yanghong Liu, Jintao Liu

“…To improve the effectiveness of the face image features, the extracted DK features and depth features are fused using a multicore learning method to obtain the best combination and the corresponding weights. …”
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O potrzebie monitorowania treści językoznawczych w szkolnych i akademickich programach kształcenia by Józef Jarosz

“…Teachers benefit from the results of the research by fulfilling the postulates and thus optimizing the teaching and learning process through innovations.…”
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Ensemble graph auto-encoders for clustering and link prediction by Chengxin Xie, Jingui Huang, Yongjiang Shi, Hui Pang, Liting Gao, Xiumei Wen

“…Graph auto-encoders are a crucial research area within graph neural networks, commonly employed for generating graph embeddings while minimizing errors in unsupervised learning. Traditional graph auto-encoders focus on reconstructing minimal graph data loss to encode neighborhood information for each node, yielding node embedding representations. …”
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A Review of Multi-Source Data Fusion and Analysis Algorithms in Smart City Construction: Facilitating Real Estate Management and Urban Optimization by Binglin Liu, Qian Li, Zhihua Zheng, Yanjia Huang, Shuguang Deng, Qiongxiu Huang, Weijiang Liu

“…Data analysis algorithms help urban management in areas such as spatial analysis and deep learning. Algorithm collaboration can improve decision-making accuracy and efficiency and promote the rational allocation of urban resources. …”
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Building m-health technology to promote breastfeeding by Jéssika Roberta Firme de Moura Santos, Maria Alzete de Lima, Ana Larissa Gomes Machado, Edina Araújo Rodrigues Oliveira, Adriele de Almeida Brito, Milena Leite Veloso, Luisa Helena de Oliveira Lima

“…The content was based on the precepts of Meaningful Learning, elaborated through a situational diagnosis and an integrative review, which guided the compilation of information and guidelines. …”
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Development and Evaluation of a Low-Jitter Hand Tracking System for Improving Typing Efficiency in a Virtual Reality Workspace by Tianshu Xu, Wen Gu, Koichi Ota, Shinobu Hasegawa

“…This study addresses this obstacle by introducing a novel machine learning-based solution, namely, the two-stream long short-term memory typing method, to enhance text entry performance in virtual reality. …”
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Spontaneous Loculated Pneumomediastinum in a COVID-19-Infected Patient by Sirous Jafari, Zahra Jahani, Reihane Alikhani, SeyedAhmad SeyedAlinaghi, Malihe Hasannezhad, Faeze Salahshour, Ali Asadollahi-Amin

“…While we are still learning about COVID-19 affecting people, older persons and persons with underlying diseases such as high blood pressure, heart disease, and diabetes mellitus (DM) appear to develop serious illness and more complications often than others. …”
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PISA 2022: The impact of school-environment predictors on the performance of Spanish students by Pablo Javier Ortega-Rodríguez

“…These findings suggest a need to create an environment that promotes student learning, reinforce students’ sense of belonging to the school, and implement anti-bullying measures in schools.…”
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ALGORITHM OF PREPARATION OF THE TRAINING SAMPLE USING 3D-FACE MODELING by D. I. Samal, I. I. Frolov

“…The classifier learned with such extended example is ready to recognize unknown objects better. …”
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Enhancing adversarial transferability with local transformation by Yang Zhang, Jinbang Hong, Qing Bai, Haifeng Liang, Peican Zhu, Qun Song

“…Abstract Robust deep learning models have demonstrated significant applicability in real-world scenarios. …”
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Dissipation Alters Modes of Information Encoding in Small Quantum Reservoirs near Criticality by Krai Cheamsawat, Thiparat Chotibut

“…Quantum reservoir computing (QRC) has emerged as a promising paradigm for harnessing near-term quantum devices to tackle temporal machine learning tasks. Yet, identifying the mechanisms that underlie enhanced performance remains challenging, particularly in many-body open systems where nonlinear interactions and dissipation intertwine in complex ways. …”
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AI-based medical ethics education: examining the potential of large language models as a tool for virtue cultivation by Shimpei Okamoto, Masanori Kataoka, Makoto Itano, Tsutomu Sawai

“…Conclusions The study involved a comprehensive exploration of the function of LLMs in medical ethics education, positing that tools such as ChatGPT can profoundly enhance the learning experience in the future. This is achieved through tailored, interactive educational encounters while addressing the ethical nuances of their use in educational settings.…”
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Blink Detection Using 3D Convolutional Neural Architectures and Analysis of Accumulated Frame Predictions by George Nousias, Konstantinos K. Delibasis, Georgios Labiris

“…In this work, we propose and compare deep learning architectures for the task of detecting blinks in video frame sequences. …”
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Utprøving av simuleringsaktiviteter i grunnskolelærerutdanningen – en ny læringsarena for sterkere koherens og utvikling av profesjonsfellesskap by Hege Myhre

“…ENGLISH ABSTRACT Testing simulation activities in general teacher education – a new arena for stronger coherence and development of professional communities This article presents results of a self-study of new learning activities in general teacher education, inspired by simulation methodology, which is a widely used form of teaching in health sciences. …”
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Blinding HT: Hiding Hardware Trojan signals traced across multiple sequential levels by Ying Zhang, Minghui Ge, Xin Chen, Jiaqi Yao, Zhiming Mao

“…As shown in the experimental results, the proposed HTs are hardly detected even by the novel HT detection approach based on machine learning algorithm. These HTs have small footprints on the design in terms of area and power to resist the side‐channel effect analysis. …”
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Does instruction through mother tongue impede students’ English proficiency? public skepticism on the instructional language policy in the state of Amhara by Melaku Gebremeske

“… This study examined whether learning in the mother tongue affects students’ English proficiency in the State of Amhara. …”
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Disease burden comparison and associated risk factors of early- and late-onset neonatal sepsis in China and the USA, 1990–2019 by Chengyue Zhang, Lianfang Yu, Xiaoming Pan, Yuwei Lu, Kaiyu Pan

“…Conclusions The aim of the Chinese public health policy should be to control risk factors, learning from the advanced health policy planning and perinatal management experiences of developed countries.…”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…The introduction of the developed algorithms into the learning process of various architectures of multimodal neural network systems for analyzing heterogeneous data has made it possible to increase the accuracy of recognizing pigmented skin lesions by 2.33 – 5.69 percentage points, compared to the original optimization methods. …”
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Tutoring experiences of a high-risk newborn care simulation among nurse tutors and nursing student tutees in South Korea: a qualitative study by Hyun Young Koo, Bo Ryeong Lee, Hyeran An

“…Three categories (“growth through a realistic virtual simulation,” “improved learning effects,” and “hope for continued development”) and six subcategories were derived from the nursing students’ responses. …”
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