Learning dynamics during clinical handover: a qualitative study among final year students in Central Region Nursing Colleges, Malawi by Lydia Nkhoma, Florence Lungu, Balwani Chingatichifwe Mbakaya, Thokozani Bvumbwe, Griphin Baxter Chirambo

“…Data analysis was done manually using Colaizzi’s (1978) seven-step approach. Results Three themes were identified which included clinical handover learning moments, student teaching and learning strategies and facilitators to learning during clinical handover. …”
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Forecasting of energy consumption rate and battery stress under real-world traffic conditions using ANN model with different learning algorithms by Anbazhagan Geetha, S. Usha, J. Santhakumar, Surender Reddy Salkuti

“…Estimating energy consumption rates is a necessary step when building infrastructure for charging and schedule optimization of battery-powered vehicles utilized in public urban driving patterns. …”
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Partnering for Progress: Lessons Learned From Mental Health Assessment for Youth Living With HIV in India Through Community-Based Participatory Research by Siddhaparna Sannigrahi, Babu Seenappa, Prashant Lakshmikanth, Suhas Reddy, Kacie Filian, Michael Babu Raj, Lakshmi Ganapathi, Anita Shet

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Detection of Economic Crises With Language Models and Comparative Analysis of Simple Time Series Analysis Models and Machine Learning Algorithms on the Stock Market by Kurban Kotan, Bayram Kotan, Serdar Kirisoglu

“…Since the CHIT algorithm has a high impact on the model performance, this algorithm is used in the pre-processing step and comparisons are made.…”
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A PRELIMINARY STUDY OF SENTIMENT ANALYSIS ON COVID-19 NEWS: LESSON LEARNED FROM DATA ACQUISITION, PRE-PROCESSING, AND DESCRIPTIVE ANALYTICS by Rahmatin Nur Amalia, Kusman Sadik, Khairil Anwar Notodiputro

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Spectral Components of Honey Bee Sound Signals Recorded Inside and Outside the Beehive: An Explainable Machine Learning Approach to Diurnal Pattern Recognition by Piotr Książek, Urszula Libal, Aleksandra Król-Nowak

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Advancing Smart Sensor Networks and Carbon-Based Biosensors Through Artificial Intelligence: A Deep Learning Approach to Optoelectronic Device Innovation by Keliang Luo

“…To enhance sensor evaluation in sensor manufacturing, we take a step further and implement Dombi Interval Valued Intuitionistic Fuzzy Sets (D-IVIFs) and work with Dombi Interval Valued Intuitionistic Fuzzy Dombi Bonferroni Mean (D-IVIFDBM) for hierarchical decision-making. …”
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Machine learning-based construction of a programmed cell death-related model reveals prognosis and immune infiltration in pancreatic adenocarcinoma patients by Bing Wang, Zhida Long, Xun Zou, Zhengang Sun, Yuanchu Xiao

“…Using a comprehensive machine learning framework involving 117 algorithmic combinations under a Leave-one-out cross-validation (LOOCV) strategy, we identified the StepCox[both] + Ridge as the best algorithms composition to construct a prognostic model based on six PCDRGs, ITGA3, CDCP1, IL1RAP, CLU, PBK, and PLAU. …”
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3D path planning for UAV based on A hybrid algorithm of marine predators algorithm with quasi-oppositional learning and differential evolution by Binbin Tu, Fei Wang, Xiaowei Han

“…To handle stringent constraints, DECMPA adopts a multi-step approach. Initially, it utilizes quasi-oppositional learning to generate a more uniformly distributed initial population. …”
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Proposing a short version of the Unesp-Botucatu pig acute pain scale using a novel application of machine learning technique by Giovana Mancilla Pivato, Gustavo Venâncio da Silva, Beatriz Granetti Peres, Stelio Pacca Loureiro Luna, Monique Danielle Pairis-Garcia, Pedro Henrique Esteves Trindade

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A novel method for a technology enhanced learning recommender system considering changing user interest based on neural collaborative filtering by Mohammad Mehran Lesan Sedgh, Alimohammad Latif, Sima Emadi

“…The results indicate the potential of integrating sentiment analysis and adaptive learning rates into TEL recommender systems, marking a step forward in developing more responsive and user-centric educational technologies. …”
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A Lightweight Framework for Rapid Response to Short-Term Forecasting of Wind Farms Using Dual Scale Modeling and Normalized Feature Learning by Yan Chen, Miaolin Yu, Haochong Wei, Huanxing Qi, Yiming Qin, Xiaochun Hu, Rongxing Jiang

“…To mitigate the interference of dynamic features, we propose a normalization feature learning block (NFLBlock) as the core component of NFLM for processing sequences. …”
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A Hybrid Three-Staged, Short-Term Wind-Power Prediction Method Based on SDAE-SVR Deep Learning and BA Optimization by Ruiqin Duan, Xiaosheng Peng, Cong Li, Zimin Yang, Yan Jiang, Xiufeng Li, Shuangquan Liu

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Integrated multi-omics and machine learning reveal an immunogenic cell death-related signature for prognostic stratification and therapeutic optimization in colorectal cancer by Siyu Hou, Shanshan Heng, Shaozhuo Xie, Yuanchun Zhao, Jiajia Chen, Chunjiang Yu, Yuxin Lin, Yuxin Lin, Xin Qi

“…A comprehensive computational framework was then employed to evaluate 101 machine learning combinations, ultimately constructing an optimized 11-gene ICD-related signature (ICDRS) by integrating StepCox [forward] and RSF. …”
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From Observation to Ethical Inquiry: Course Redesign in Middle Level Educator Preparation by Sarah Straub, Elizabeth Gound

“…This manuscript explores the transformative impact of ethical engagement in the course MLGE 3301: Adolescent Learning, designed for pre-field students in an educator preparation program. …”
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Technology-Enhanced Course in English Theoretical Grammar and Phonetics at Tertiary Level by Jana Kuzmina, Zigrīda Vinčela

“… The advancement of technologies and the recently forced lockdown by Covid-19 are bringing changes to the organisation of the learning process by accelerating the introduction of e-learning to create a learner-centred technology-based approach to English studies, thus stepping towards digital humanities. …”
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Comparative Analysis of Facial Expression Recognition Methods by Denys - Florin COT

“… This paper aimed to investigate human emotion recognition through the analysis of facial expressions, using both classical machine learning methods and advanced techniques based on deep neural networks. …”
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Artificial Intelligence: A Review of Objective Grading and Quantification of Posterior Capsular Opacification by Saurabh Kushwaha, Rajat Chaudhary, Uma Devi

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Advances in Automated Voice Pathology Detection: A Comprehensive Review of Speech Signal Analysis Techniques by Anitha Sankaran, Lakshmi Sutha Kumar

“…An extensive literature review on the application of machine learning and deep learning techniques to detect voice pathologies was conducted. …”
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Comparative Analysis of VGG16 and ResNet50 Model Performence in Cardiac ECG Image Classification by Hanif Rizaqi, Imam Tahyudin

“…This study systematically evaluates and compares the effectiveness of two deep learning architectures, VGG16 and ResNet50, in automating electrocardiogram (ECG) image classification for cardiac condition diagnosis. …”
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