Effectiveness of citizen inquiry approach in promoting environmental knowledge of young people by Micheal Obakhavbaye

“…The findings indicate that the citizen inquiry technique can democratize learning and the research process, but it requires the design to be contextualized.…”
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QTFN: A General End-to-End Time-Frequency Network to Reveal the Time-Varying Signatures of the Time Series by Tao Chen, Yang Jiao, Lei Xie, Hongye Su

“…Moreover, a new structure called Muti-scale Residual Encoder-Decoder (MRED) is also proposed to improve the learning ability of the model by highly integrating the multi-scale learning and encoder-decoder architecture. …”
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Artificial Intelligence-Based Classification of Chest X-Ray Images into COVID-19 and Other Infectious Diseases by Arun Sharma, Sheeba Rani, Dinesh Gupta

“…Furthermore, we utilized the transfer learning approach for the training and testing of the classification models. …”
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Analysis of Multidimensional Clinical and Physiological Data with Synolitical Graph Neural Networks by Mikhail Krivonosov, Tatiana Nazarenko, Vadim Ushakov, Daniil Vlasenko, Denis Zakharov, Shangbin Chen, Oleg Blyus, Alexey Zaikin

“…To apply Geometric Deep Learning we propose a synolitic or ensemble graph representation of the data, a universal method that transforms any multidimensional dataset into a network, utilising only class labels from training data. …”
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Integrated Bioinformatics Identifies FREM1 as a Diagnostic Gene Signature for Heart Failure by Chenyang Jiang, Weidong Jiang

“…This study is aimed at integrating bioinformatics and machine learning to determine novel diagnostic gene signals in the progression of heart failure disease. …”
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Instruction and demonstration-based secure service attribute generation mechanism for textual data by LI Chenhao, WANG Na, LIU Aodi

“…Traditionally, the calibration of secure service attribute for textual data has been primarily reliant on human experts and machine learning methods, yet the efficiency and few-shot ability are insufficient. …”
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An Adversarial Attack via Penalty Method by Jiyuan Sun, Haibo Yu, Jianjun Zhao

“…Deep learning systems have achieved significant success across various machine learning tasks. …”
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Plant Leaf Identification Using Feature Fusion of Wavelet Scattering Network and CNN With PCA Classifier by S. Gowthaman, Abhishek Das

“…Unlike traditional machine learning methods that often struggle to capture the intricate features of leaves, CNNs are well-suited for this task. …”
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Developing and Testing a High-Fidelity Simulation Scenario for an Uncommon Life-Threatening Disease: Severe Malaria by Andrew Kestler, Mary Kestler, Ravi Morchi, Steven Lowenstein, Britney Anderson

“…A severe malaria sim scenario was developed based on 5 learning objectives. Sim sessions, conducted at an academic center, utilized METI ECS mannequin. …”
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How the Content of Interprofessional Safety Management Education Can Be Structured Through the Perception of Nursing Home Practitioners: A Mixed Methods Design by You Jung Hong, Dayeong Kim, Sung Ok Chang

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PD_EBM: An Integrated Boosting Approach Based on Selective Features for Unveiling Parkinson's Disease Diagnosis With Global and Local Explanations by Fahmida Khanom, Mohammad Shorif Uddin, Rafid Mostafiz

“…PD_EBM leverages machine learning (ML) algorithms and a hybrid feature selection approach to enhance diagnostic accuracy. …”
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Facilitating reflection, confidence, and positive mirror effect in teacher practicum: a serial multiple mediation model by Wing W. Y. Ho, Yan H. Y. Lau, Eric K. L. Li

“…This study entails a post-evaluation using the Experiential Learning Experiences Scale, Reflective Practice Questionnaire, and Mirror Effects Inventory to assess practicum experiences, reflective thinking practices, and mirror effects via an online survey after engaging in experiential learning, particularly a teaching practicum. …”
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Pulse2AI: An Adaptive Framework to Standardize and Process Pulsatile Wearable Sensor Data for Clinical Applications by Sicong Huang, Roozbeh Jafari, Bobak J. Mortazavi

“…<italic>Goal:</italic> To establish Pulse2AI as a reproducible data preprocessing framework for pulsatile signals that generate high-quality machine-learning-ready datasets from raw wearable recordings. …”
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Research trends on early algebra in the middle school: A combined bibliometric and meta-analysis review by Dilham Fardian, Didi Suryadi, Sufyani Prabawanto, Silfia Hayuningrat

“…Integrating multimedia technology into early algebra instruction significantly enhances student learning outcomes. Moreover, access to technology and enhanced learning resources through technology integration can play a more crucial role in improving the effectiveness of early algebra learning in countries with lower income levels.…”
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Assessment of the Correspondence Between User Needs and Classroom Design Criteria for Pre-Schoolers with Autism Spectrum Disorder in Turkey by ABDALLAH Luqmaan Fihri, ERÇİN Çilen

“…These recommendations aim to create inclusive and conducive learning environments that support the growth and development of preschoolers with ASD.…”
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The causal relationship between digital literacy and students’ academic achievement: a meta-analysis by Feng Li, Liang Cheng, Xi Wang, Lingxia Shen, Yuxin Ma, A. Y. M. Atiquil Islam

“…We suggest that (1) schools should develop students’ DL by strengthening the construction of a digital learning environment; (2) teachers and parents should give more guidance to primary and middle school students on the application of digital tools, making them aware of the advantages and disadvantages of digital technology for learning; and (3) students should have general digital operation skills and further master the special methods and learning models of digital technology applied to different subjects. …”
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A Systematic Review Towards Big Data Analytics in Social Media by Md. Saifur Rahman, Hassan Reza

“…This creates the opportunity to make the "Big Social Data" handy by implementing machine learning approaches and social data analytics. This study offers an overview of recent works in social media, data science, and machine learning to gain a wide perspective on social media big data analytics. …”
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Mitigating climate change with financial investments: exploring sustainable investment strategies in a novel experimental investment paradigm by Hulda Karlsson-Larsson, Arvid Erlandsson, Joakim Sandberg, Daniel Västfjäll

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Potato Quality Grading Based on Depth Imaging and Convolutional Neural Network by Qinghua Su, Naoshi Kondo, Dimas Firmanda Al Riza, Harshana Habaragamuwa

“…In this study, we developed a potato automatic grading system that uses a depth imaging system as a data collector and applies a machine learning system for potato quality grading. The depth imaging system collects 3D potato surface thickness distribution data and stores depth images for the training and validation of the machine learning system. …”
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An Enhanced Deep Neural Network for Predicting Workplace Absenteeism by Syed Atif Ali Shah, Irfan Uddin, Furqan Aziz, Shafiq Ahmad, Mahmoud Ahmad Al-Khasawneh, Mohamed Sharaf

“…In this paper, we propose Neural Networks and Deep Learning algorithms that can predict the behavior of employees towards punctuality at workplace. …”
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