Automating monitoring and evaluation data analysis by using an open-source programming language by Nadia Fouché, Melody Mentz-Coetzee

“…Although open-source programming languages such as Python are free to use, there are no libraries in Python aimed at the analyses needed for quantitative ME data, resulting in a steep learning curve for new Python users. Objectives: The objective of this article was to develop a Python library of functions to make Python a user-friendly alternative for analysing quantitative ME data. …”
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Analysis and Simulation of the Early Warning Model for Human Resource Management Risk Based on the BP Neural Network by Xue Yan, Xiangwu Deng, Shouheng Sun

“…Based on the summary and analysis of previous research works, this article expounded the research status and significance of early warning for human resource management risks, elaborated the development background, current status, and future challenges of the BP neural network, introduced the method and principle of the BP neural network’s connection weight calculation and learning training, performed the risk inducement analysis, index system establishment, and network node selection of human resource management, constructed an early warning model of human resource management risk based on the BP neural network, conducted the risk warning model training and detection based on the BP neural network, and finally carried out a simulation and its result analysis. …”
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Main methodological challenges faced by Youth and Adult Education (EJA) teachers by Alcemir Horácio Rosa, Francisco Willan Costa dos Santos, Daniel Nascimento e Silva, Marcus Marcelo Silva Barros

“… The present work identifies the main methodological challenges teachers face in developing Youth and Adult Education (EJA) teaching-learning process. It raises a discussion on the subject at its most critical point of teaching activities in the classroom: the adequacy of teaching methods and techniques to the reality of students in this modality. …”
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Developing a brain inspired multilobar neural networks architecture for rapidly and accurately estimating concrete compressive strength by Bashar Alibrahim, Ahed Habib, Maan Habib

“…Moreover, it is compared against two traditional cases, ANN and ensemble learning neural networks (ELNN). The study results indicated that the MLANN architecture significantly improves the estimation performance, reducing the root mean square error by up to 32.9% and mean absolute error by up to 25.9% while also enhancing the A20 index by up to 17.9%, ensuring a more robust and generalizable model. …”
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Bridging the communication gap in agrometeorological services: Enhancing the uptake and effectiveness for users in developing countries by Vieri Tarchiani, Sebastian Grey

“…Stakeholders’ engagement methods include a variety of participatory approaches and iterative monitoring, evaluation and learning processes. The choice of communication channels significantly affects information reach. …”
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Intelligent Prediction of Flood Disaster Risk Levels Based on Knowledge Graph and Graph Neural Networks by Peisheng Yang, Xiaohua Xu, Meilan Shao, Yewei Liu

“…Compared with the three classical models in traditional machine learning, such as RF, SVM and ANN, the performance of this model is improved, and it is better than the traditional model. …”
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Detection to false data for smart grid by Jian Zheng, Shumiao Ren, Jingyue Zhang, Yu Kui, Jingyi Li, Qin Jiang, Shiyan Wang

“…Then, the neural network learns a boundary separating false data and normal data on the conformal region yielded by the conformity scores. …”
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Classification of Stages 1,2,3 and Preplus, Plus disease of ROP using MultiCNN_LSTM classifier by Ranjana Agrawal, Sucheta Kulkarni, Madan Deshpande, Anita Gaikwad, Rahee Walambe, Ketan V. Kotecha

“…Stages 1–3 were classified using machine Learning (ML) models. • This study aims to improve accuracy of Stages 1–3 classification and identify Pre-plus/ Plus disease using MultiCNN_LSTM networks. …”
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Career Perspectives for Pediatric Orthopaedic Trainees and Early Practitioners: A Panel Discussion by Jeffrey B. Peck, MD, William Cutchen, MD, Lee Haruno, MPH, Dustin Greenhill, MD, Karen Bovid, MD, Brandon Ramo, MD

“…Key Concepts: (1) When selecting a fellowship, it is valuable to understand one's learning style and to consider family needs. (2) After discovering what positions may be available, match each potential position's professional and personal opportunities with your needs. (3) Your initial practice will evolve to your ideal professional endpoint over years of effort and development. (4) The optimal work-life relationship is possible with good communication with your partner/family and with a good team of supporting healthcare staff around you. (5) Regular attendance at the POSNA annual meeting and involvement in committee work can be a resource and provide tremendous professional satisfaction.…”
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Decoding substance use disorder severity from clinical notes using a large language model by Maria Mahbub, Gregory M. Dams, Sudarshan Srinivasan, Caitlin Rizy, Ioana Danciu, Jodie Trafton, Kathryn Knight

“…We propose a workflow employing zero-shot learning of LLMs with carefully crafted prompts and post-processing techniques. …”
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A review of electric vehicle technology: Architectures, battery technology and its management system, relevant standards, application of artificial intelligence, cyber security, an... by Vincent M. Macharia, Vijay K. Garg, Dinesh Kumar

“…Furthermore, this article gives a comprehensive overview of various emerging technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI) & Machine Learning (ML), to improve EVs' performance through digitalisation. …”
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التشتت النوعی لمحرکات البحث ومدى الوعی بها والإفادة منها by د. عزة فاروق الجوهرى

“…It also recommended the inclusion within the curriculum ofall university programs interested in digital research tools and how to invest todrive awareness of learning and scientific research system…”
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Adaptive Handover Management in High-Mobility Networks for Smart Cities by Yahya S. Junejo, Faisal K. Shaikh, Bhawani S. Chowdhry, Waleed Ejaz

“…This paper presents an adaptive handover management scheme that utilizes reinforcement learning to optimize handover decisions in dynamic environments. …”
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Compatible bedfellows: Enriching grammar pedagogical tasks with cognitive linguistics to teach present simple vs. progressive by Mojtaba Maghsoudi, Abolfazl Khodamoradi

“…While many English language learning textbooks provide exercises on the difference between present simple and present progressive tenses, they often lack meticulous explanations regarding their meaning and contextual usage. …”
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Hippocampal Dendritic Spines Are Segregated Depending on Their Actin Polymerization by Nuria Domínguez-Iturza, María Calvo, Marion Benoist, José Antonio Esteban, Miguel Morales

“…Their morphology, dynamics, and density have been related to synaptic plasticity and learning. The main determinant of spine shape is filamentous actin. …”
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Anxiety classification in virtual reality using biosensors: A mini scoping review. by Deniz Mevlevioğlu, Sabin Tabirca, David Murphy

“…Our inclusion criteria were peer-reviewed studies which take place in a Virtual Reality environment and assess the user's anxiety using machine learning classification models and biosensors.<h4>Results</h4>1749 records were identified and out of these, 11 (n = 237) studies were selected. …”
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Ankrd1 as a potential biomarker for the transition from acute kidney injury to chronic kidney disease by Hailin Li, Lemei Hu, Changqing Zheng, Ying Kong, Ming Liang, Quhuan Li

“…Analysis of intercellular crosstalk, trajectory and machine learning algorithms revealed hub cell clusters and genes. …”
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Public R&D support, innovation, and spillovers: A dynamic spatial panel approach to firms by Bongsuk Sung, Dan Zhang, Sang-Do Park

“…It is especially crucial to keep in mind that when firm heterogeneity—as a source of absorptive capacity and organizational learning—and the similarity of technology-based innovations are properly considered, public R&D subsidies can be efficient and effective policy tools for increasing direct benefits and inter-firm spillovers.…”
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Exploring the mediating role of the non-high-density lipoprotein cholesterol to high-density lipoprotein cholesterol ratio (NHHR) in the association between obesity and sleep-disor... by Ying Cui, Ziyi Cheng

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Organizational and Pedagogical Modeling of Entrepreneurship Education in Higher Education: Psychological Aspect by R. N. Voronina, E. N. Makhmutova

“…A systematic understanding of students’ entrepreneurship competencies is reflected in the model of entrepreneurship learning in the framework of the university educational environment, which includes both infrastructural and psychological and pedagogical components that directly affect the personal development of students. …”
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