Embracing diversity in adult education: creating an inclusive environment for Turkish-speaking newcomers in community settings by Emel Kiliç, Wolfgang Jacquet

“…Despite Belgium’s multicultural landscape, newcomers often struggle with learning local languages, hindering their integration and limiting their opportunities in the labour market. …”
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A Proactive Robust Scheduling Method for Aircraft Carrier Flight Deck Operations with Stochastic Durations by Xichao Su, Wei Han, Yu Wu, Yong Zhang, Jie Liu

“…To optimize the baseline schedule and resource allocation, a hybrid teaching-learning-based optimization (HTLBO) algorithm is designed which integrates differential evolution operators, peak crossover operator, and learning-automata-based adaptive variable neighborhood search strategy. …”
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Interactive Crossword Puzzles as an Adjunct Tool in Teaching Undergraduate Dental Students by Abubaker Qutieshat, Nutayla Al-Harthy, Gurdeep Singh, Viresh Chopra, Rayhana Aouididi, Rayan Arfaoui, Sapna Dileesh, Ahmed Alsadoon, Omaima Al-Nadhiri, Shima Al-Busaidi, Sumaiya Al-Rashdi, Mohammad S Alrashdan

“…The provision of adequate learning support to reinforce key concepts can be challenging. …”
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Intelligent Classification of Stable and Unstable Slope Conditions Based on Landslide Movement by Long Tsang, Ali Ghorbani, Seyed Mohammad Hossein Khatami, Dmitrii Ulrikh

“…In this research, different machine learning-based approaches were used to analyze and manage this problem. …”
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A Computational Approach to Understanding Agglutinative Structures in Urdu by Muhammad Shoaib Tahir, Mahnoor Amjad

“…Furthermore, the research explores the limitations of traditional rule-based models in handling Urdu’s morphological complexity and advocates for the adoption of machine learning and deep learning techniques. These modern approaches, particularly Recurrent Neural Networks (RNNs) and Convolutional Neural Networks (CNNs), show promise in accurately modeling Urdu's agglutinative morphology, though they require extensive linguistic data and computational resources. …”
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Context-Aware and Locality-Constrained Coding for Image Categorization by Wenhua Xiao, Bin Wang, Yu Liu, Weidong Bao, Maojun Zhang

“…It is generally achieved by learning a word-to-word cooccurrence prior to imposing context information over locality-constrained coding. …”
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False Alarm Reduction in Self-Care by Personalized Automatic Detection of ECG Electrode Cable Interchanges by Jocelyne Fayn, Paul Rubel

“…We further use a scoring method to compare these analysis results and then apply a decision tree model to extract the most relevant measurements in a learning set of 121 patients recorded in ICU. Results. …”
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Unmanned Aerial Vehicles for Real-Time Vegetation Monitoring in Antarctica: A Review by Kaelan Lockhart, Juan Sandino, Narmilan Amarasingam, Richard Hann, Barbara Bollard, Felipe Gonzalez

“…Despite the potential of established Machine-Learning (ML) classifiers such as Random Forest, K Nearest Neighbour, and Support Vector Machine, and gradient boosting in the semantic segmentation of UAV-captured images, there is a notable scarcity of research employing Deep Learning (DL) models in these extreme environments. …”
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Precise Crop Pest Detection Based on Co-Ordinate-Attention-Based Feature Pyramid Module by Chenrui Kang, Lin Jiao, Kang Liu, Zhigui Liu, Rujing Wang

“…Fast and precise pest detection and counting are crucial measures in the management and mitigation of pest infestations. In this area, deep learning technologies have come to represent the method with the most potential. …”
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Educational approaches to teach students to address colonialism in global health: a scoping review by Anna Kalbarczyk, Holly Nishimura, Sylvie Perkins, Praise F Olatunde

“…The articles centred North American students; their training, their evaluations of educational experiences, their individual awareness and their experiential learning. Few references discussed pedagogical approaches or education theory in guidelines and descriptions of educational approaches. …”
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Perceptions of Teacher-trainees Towards using YouTube Videos to improve Conceptual Understanding of the Reactivity of Alkali Metals in Natural Sciences at a Rural University in Sou... by Vuyokazi Momoti

“…The findings of this research will enhance understanding of the importance of utilizing YouTube to support student learning. Educators can leverage this information to develop effective strategies for enhancing student learning by understanding what drives students to use YouTube for educational purposes.…”
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LingoTrip: Spatiotemporal context prompt driven large language model for individual trip prediction by Zhenlin Qin, Pengfei Zhang, Leizhen Wang, Zhenliang Ma

“…The results show that LingoTrip outperforms data-driven models in terms of prediction accuracy, transferability (between individuals), zero/few shot learning (limited training sample size) and interpretability of predictions. …”
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A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

“…The dataset was acquired from UCI machine learning repository website with a title ‘Crime and Communities’. …”
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The Impact of Private Education Sector to The Development of Bukimbiri Sub-County, Kisoro District. by Tibesigwa, David

“…Further it has improved learning outcomes and equity in educational opportunities. …”
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cigFacies: a massive-scale benchmark dataset of seismic facies and its application by H. Gao, X. Wu, X. Sun, M. Hou, M. Hou, H. Gao, G. Wang, H. Sheng

“…However, unlike the CV domain, the field of seismic exploration lacks a comprehensive benchmark dataset for seismic facies, severely limiting the development, application, and evaluation of deep-learning approaches in seismic facies classification. …”
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Robot-Assisted versus Laparoscopic-Assisted Gastrectomy among Gastric Cancer Patients: A Retrospective Short-Term Analysis from a Single Institution in China by Li-Fei Sun, Kai Liu, Xue-Shang Su, Xuan Wei, Xiao-Long Chen, Wei-Han Zhang, Xin-Zu Chen, Kun Yang, Zong-Guang Zhou, Jian-Kun Hu

“…There were no significant differences in terms of postoperative recovery between the two groups. The learning curve of RAG showed that the CUSUM value decreased from the 8th case, which suggested a rapid learning curve among experienced surgeons on LAG operations. …”
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Framework for smartphone-based grape detection and vineyard management using UAV-trained AI by Sergio Vélez, Mar Ariza-Sentís, Mario Triviño, Antonio Carlos Cob-Parro, Miquel Mila, João Valente

“…Recent technological and machine learning advancements, particularly in deep learning, have provided the tools necessary to create more efficient, automated processes that significantly reduce the time and effort required for these tasks. …”
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Kinerja Metode Rank Sum, Rank Reciprocal dan Rank Order Centroid Menggunakan Referensi Poin Moora (Studi Kasus: Bantuan Kuota Data Internet untuk Mahasiswa) by Ummul Hairah, Edy Budiman

“…The decision-making criteria for internet data quota assistance are based on the needs of online learning and the ability of the student's economic costs. …”
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Leveraging Comprehensive Echo Data to Power Artificial Intelligence Models for Handheld Cardiac Ultrasound by D.M. Anisuzzaman, PhD, Jeffrey G. Malins, PhD, John I. Jackson, PhD, Eunjung Lee, PhD, Jwan A. Naser, MBBS, Behrouz Rostami, PhD, Grace Greason, BA, Jared G. Bird, MD, Paul A. Friedman, MD, Jae K. Oh, MD, Patricia A. Pellikka, MD, Jeremy J. Thaden, MD, Francisco Lopez-Jimenez, MD, MSc, MBA, Zachi I. Attia, PhD, Sorin V. Pislaru, MD, PhD, Garvan C. Kane, MD, PhD

“…Objective: To develop a fully end-to-end deep learning framework capable of estimating left ventricular ejection fraction (LVEF), estimating patient age, and classifying patient sex from echocardiographic videos, including videos collected using handheld cardiac ultrasound (HCU). …”
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“Common sense is hard work” but benefits from persistent collaboration: Lessons learnt from the development of The Collaborative Network for European Clinical Trials for Children (... by Sabah Attar, Carla Peacock, Mandy Wan, Erin Halil, Chloe Bickerstaff, Lionel Tan, Hafsah Bhatti, Ricardo M. Fernandes, Regis Hankard, Mark A. Turner

“…This paper aims to review the learning points identified during co-development of c4c processes by academic and industry partners. …”
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