A Portable UV-LED/RGB Sensor for Real-Time Bacteriological Water Quality Monitoring Using ML-Based MPN Estimation by Andrés Saavedra-Ruiz, Pedro J. Resto-Irizarry

“…Bacteriological water quality monitoring is of utmost importance for safeguarding public health against waterborne diseases. Traditional methods such as membrane filtration (MF), multiple tube fermentation (MTF), and enzyme-based assays are effective in detecting fecal contamination indicators, but their time-consuming nature and reliance on specialized equipment and personnel pose significant limitations. …”
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Design of circularly polarized phosphorescence materials guided by transfer learning by Xu Liu, Yihan Zhang, Yifan Xie, Ledu Wang, Liyu Gan, Jialei Li, Jiahe Li, Hongli Zhang, Linjiang Chen, Weiwei Shang, Jun Jiang, Gang Zou

“…Herein, we propose a strategy to customized design of circularly polarized phosphorescent materials based on large language models and transfer learning methods, which not only enables efficient identification of suitable synthesis precursors, but also provides valuable guidance for experimental procedures. …”
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Calibration of Electron Microscopes Through Deep Learning and Bayesian Optimization by Jilles S. van Hulst, Roy A. C. van Zuijlen, Narges Javaheri, Maurits Diephuis, Duarte J. Antunes, W. P. M. H. Heemels

“…The method uses deep learning to interpret the high-dimensional image, also called the Ronchigram, produced by the STEM, providing a quality index that quantifies the distance of the current image from its calibrated state. …”
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Distance Learning Systems and thei Development Using the Cognitive Mechanisms by A. S. Aleshchenko, V. M. Trembach, Т. G. Trembach

“…The paper deals with electronic distance learning systems and explores the possibility of using cognitive mechanisms for the development of educational technologies.Materials and methods. …”
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Active Technological Learning in Chemistry teaching in the high school context by Sebastião Luis da Silva Neto, Bruno Silva Leite

“…In this article, an analysis is carried out with an emphasis on identifying publications that provide support for exploring the implications in teaching and learning processes of pedagogical proposals based on the pillars of Active Technological Learning (ATL) in Chemistry education at the high school level. …”
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APPLICATION OF THE SYNTHETIC ANALYTICAL STRUCTURAL METHOD TO IMPROVE THE READING SKILLS by Idris Idris, Moh. Tahir, Syamsuddin Syamsuddin, Gusti Ketut Alit Suputra, Nuraini Nuraini, Nur Hakim, Gazali Gazali

“…Purpose – This study aims to evaluate the implementation of the Structural Analytic Synthetic (SAS) method in teaching beginning reading within the context of 21st-century skills, particularly during online learning environments prompted by the COVID-19 pandemic. …”
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Power Indices in the Context of Social Learning Behaviour in Social Networks by Ruili Shi, Chunxiang Guo, Xin Gu

“…Based on the theory and model of social learning, we analyze the influence of social learning on the voting process and power indices from the perspective of individuals’ professional level, position within the social network structure, relationship closeness, and learning efficiency. …”
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Fine-grained entity disambiguation through numeric pattern awareness in transformer models by Jaeeun Jang, Sangmin Kim, Howon Moon, Sang Heon Shin, Mira Yun, Charles Wiseman

“…The proposed framework integrates three core innovations: (1) a context-aware masking strategy that reduces over-reliance on surface-level entity mentions by encouraging the model to leverage surrounding contextual cues, (2) a multi-task learning component that improves the model’s understanding of relative spatial and temporal information, and (3) a position-aware representation technique that restructures numerical data into token sequences that preserve structural integrity, addressing inherent limitations of subword tokenization in current language models. …”
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Computed tomography-based radiomics predicts prognostic and treatment-related levels of immune infiltration in the immune microenvironment of clear cell renal cell carcinoma by Shiyan Song, Wenfei Ge, Xiaochen Qi, Xiangyu Che, Qifei Wang, Guangzhen Wu

“…Therefore, the CT-based ML achieved good predictive results in predicting immune infiltration in ccRCC, with the ExtraTrees machine learning algorithm being optimal. …”
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A Modified Differential Evolution for Source Localization Using RSS Measurements by Yunjie Tao, Lincan Li, Shengming Chang

“…To overcome these limitations, this paper proposes a novel enhancement of DE by integrating opposition-based learning (OBL) principles. The proposed method introduces an adaptive scaling factor that dynamically balances global exploration and local exploitation during the evolutionary process, coupled with a penalty-augmented cost function to effectively utilize boundary information while eliminating explicit constraint handling. …”
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Geographic Information System - Modern Teaching Method in Business Administration by Irina Albăstroiu, Mihai Felea, Cristinel Vasiliu

“…Respondents also said they are open to introducing new teaching methods, in accordance with the university`s position for that matter.…”
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Key Insights into Factors that Shape the Ideal EDI Learning Experiences of Canadian Academic Librarians by Maria King

“…The researchers identified four key insights as a result of their research that added to previous literature on this topic; the importance of personal identity and positionality in shaping learning experiences, the importance of seeing learning in the context of accumulated learning journeys rather than single activities, the dynamics of different types of learning including informal learning and those beyond professional contexts, and lastly that academic institutions themselves shape individuals learning experiences.  …”
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SARE: an optimized method for detection functional regulatory elements in genome by Mohammadjavad Hosseinpoor

“…Additionally, benchmarking against machine learning-based approaches will establish its position as a robust tool in genomic research.…”
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An Emphasis on the Critical Roles of Academic Simplified Material and its Influences on Learners' Boredom in Online Instruction, Attitudes to Electronic Learning, Self-regulated On... by Goodarz Shakibaei, Arash Hashemifardni, Maryam Amini

“…To do this, 70 intermediate volunteers were chosen using a quasi-experimental design based on a convenience sampling method. Two experimental groups (EGs) (one for simplified texts and the other for authentic texts) were selected. …”
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Tropical Cyclone Size Prediction and Development of An Error Correction Method by Guo Ruichen, Xu Jing, Wang Yuqing

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Drone Navigation and Target Interception Using Deep Reinforcement Learning: A Cascade Reward Approach by Ali A. Darwish, Arie Nakhmani

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Hybrid E-Recommendation System for Multi-Shop Environment by Hawraz Abdalla Abubakr, Kamaran Faraj

“…The system uses techniques such as hybrid/blended methods using singular value decomposition and K-nearest neighbors for collaborative filtering (CF) to recommend shops and products based on customer ratings, alongside term frequency-inverse document frequency vectorization and cosine similarity for content-based filtering. …”
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Means and methods of formation of organizational and managerial competence of a university teacher by Natalya V. Solovova, Natallia V. Sukhankina

“…It has been revealed that it is reasonable to use the methods as follows: ways of positive motivation formation (productive learning environment; diversity and inclusion; professional and personal achievements and accomplishments, etc.); interactive teaching methods (role-playing and business games, discussions, brainstorming, case studies, trainings, etc.); methods for the development of personal educational environment (the use of personal experience of teachers, self-reflection, self-knowledge, etc.). …”
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Generative Target Tracking Method with Improved Generative Adversarial Network by Yongping Yang, Hongshun Chen

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Design of an integrated model using deep reinforcement learning and Variational Autoencoders for enhanced quantum security by Harshala Shingne, Diptee Chikmurge, Priya Parkhi, Poorva Agrawal

“…In the state-of-the-art method, the DRL-based approach enlarges the secure key generation rate by 15–20 % and suppresses QBER 30–40 % under noisy conditions. …”
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