Characterising physical activity patterns in community-dwelling older adults using digital phenotyping: a 2-week observational study protocol by Bruno Bonnechère, Dominique Hansen, Kim Daniels, Sharona Vonck, Jolien Robijns, Annemie Spooren

“…All measurements align with the Behaviour Change Wheel framework, assessing capability, opportunity and motivation. Machine learning will analyse data, employing unsupervised learning (eg, hierarchical clustering) to identify PA behaviour patterns and supervised learning (eg, recurrent neural networks) to predict behavioural influences. …”
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Kolmogorov–Arnold Networks for Automated Diagnosis of Urinary Tract Infections by Anurag Dutta, A. Ramamoorthy, M. Gayathri Lakshmi, Pijush Kanti Kumar

“…Medical diagnostics is an important step in the identification and detection of any disease. …”
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Night and Day Aerial Photogrammetry by L. Morelli, G. Perda, S. Malek, F. Remondino, K. Legat

“…Object-space evaluations confirmed that the proposed pre-processing step significantly improves co-registration accuracy. …”
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Teachers in a Public School Engage in a Study Group to Reach General Agreements about a Common Approach to Teaching English Profesores de un colegio público participan en un grupo... by Consuelo Sánchez Prada, Gloria Álvarez Aguirre

“…This is an initial report on a study which aimed to know what happened at our school, as teachers engaged in a study group to reach general agreements about a common approach to teaching English. The first step consisted of establishing teachers’ and students’ perceptions of their needs through surveys and interviews. …”
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Efficient Design of a Terahertz Metamaterial Dual-Band Absorber Using Multi-Objective Firefly Algorithm Based on a Multi-Cooperative Strategy by Guilin Li, Yan Huang, Yurong Wang, Weiwei Qu, Hu Deng, Liping Shang

“…Traditional design processes are complex and time-consuming. Machine learning-based methods, such as neural networks and deep learning, require a large number of simulations to gather training samples. …”
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Integrating AI Technologies in Interest-Free Finance: Advancing Sector Capabilities through Innovative Model Proposals by Ahmet Lokce, Ibrahim Guran Yumusak

“…It underscores the possibilities for broadening the scope and enhancing the growth of the interest-free finance sector, marking a significant step towards integrating cutting-edge AI technologies into ethical and interest-free financial practices. …”
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MT-EfficientNetV2: A Multi-Temporal Scale Fusion EEG Emotion Recognition Method Based on Recurrence Plots by Zihan Zhang, Zhiyong Zhou, Jun Wang, Hao Hu, Jing Zhao

“…To address these challenges, we propose a deep learning model that combines multi-temporal-scale fusion, termed MT-EfficientNetV2. …”
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Green Human Resource Management in the manufacturing sector: a bibliometric literature review by Austen Agata, Piwowar-Sulej Katarzyna

“…This study utilised a comprehensive three-step approach. Initially, Scopus was selected as the primary database for its extensive coverage, followed by applying a targeted search strategy to gather literature on GHRM in the manufacturing sector, yielding 117 relevant articles. …”
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A Fast Recognition Method for Space Targets in ISAR Images Based on Local and Global Structural Fusion Features with Lower Dimensions by Hong Yang, Yasheng Zhang, Wenzhe Ding

“…Feature extraction is the key step of Inverse Synthetic Aperture Radar (ISAR) image recognition. …”
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DeepDate: A deep fusion model based on whale optimization and artificial neural network for Arabian date classification. by Nour Eldeen Mahmoud Khalifa, Jiaji Wang, Mohamed Hamed N Taha, Yudong Zhang

“…However, the increasing yields also put a lot of pressure on the classification step afterward. Image recognition based on deep learning algorithms can help to identify and classify the date fruit species, even in natural light.…”
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Accurate size-based protein localization from cryo-ET tomograms by Weisheng Jin, Ye Zhou, Alberto Bartesaghi

“…Particle picking is an essential step in the cryo-ET/STA image analysis pipeline that consists in locating the position of proteins within crowded cellular tomograms so that they can be aligned and averaged in 3D to improve resolution. …”
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Knowledge distillation for spiking neural networks: aligning features and saliency by Yifan Hu, Guoqi Li, Lei Deng

“…Existing approaches, such as artificial neural network (ANN)-to-SNN conversion and surrogate gradient learning, either suffer from prolonged simulation times or suboptimal performance. …”
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Protocol to develop a specialised curriculum in primary care cancer research in an Irish medical school [version 1; peer review: 2 approved] by Logan Verlaque, Benjamin Jacob, Kurdo Araz, Fiona Kent, Aileen Barrett, Patrick Redmond

“…Subsequently, targeted learning objectives and aligned educational strategies will be defined to maximise learning opportunities and impact. …”
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Complex Large-Deformation Multimodality Image Registration Network for Image-Guided Radiotherapy of Cervical Cancer by Ping Jiang, Sijia Wu, Wenjian Qin, Yaoqin Xie

“…In order to improve the registration performance, we also propose a deep learning similarity measurement method combined with bistructural morphology. …”
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Transdisciplinary Research for Sustainable Development: Diverse and Best-Practice at European Technical Universities by LEURS Inge, ROSTEK Katarzyna, WIECK Kathrin, BACKHAUS Julia, OROZCO-MESSANA Javier

“…This research is also a first step towards making transdisciplinary research at technical universities more visible and transparent to provide better support and create a mutual learning environment for discussing and continuously developing strategies for organizational change.…”
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Potato leaves disease classification based on generalized Jones polynomials image features by Ala’a R. Al-Shamasneh

“…The detection of plant diseases in the modern era offers a promising first step toward sustainable agriculture and food security. …”
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Lived experiences of Malaysian family caregivers of patients with chronic illnesses: A qualitative study by Nurul Salwa Sajali, Norfaezah Md Khalid, Norsafatul Aznin A Razak

“…Data were collected through in-depth semi-structured individual interviews and document analysis and later analysed systematically according to the six-step IPA process. Results: The data revealed the informants’ meaning of experience in four themes: 1) adversities, 2) adjustment challenges, 3) adaptation and acceptance and 4) identity. …”
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Identifying fetal yawns based on temporal dynamics of mouth openings: A preterm neonate model using support vector machines (SVMs). by Damiano Menin, Angela Costabile, Flaviana Tenuta, Harriet Oster, Marco Dondi

“…This achievement represents a first step towards a fully automated system for identifying yawns in the perinatal period.…”
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MsDC-DEQ-Net: Deep Equilibrium Model (DEQ) with Multiscale Dilated Convolution for Image Compressive Sensing (CS) by Youhao Yu, Richard M. Dansereau

“…We achieve this by mapping one step of the iterative shrinkage thresholding algorithm (ISTA) to a deep network block, representing one iteration of ISTA. …”
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K to 12 implementation in Siquijor: The senior high school students’ lived experience by Ma. Lorna Degamo Miro, Judy Ann Ferrrater-Gimena, Renato Calago Sagayno, Rex Torres Argate, Moma Dela Torre Ortega, Aurora Cannu Miro, Rithsun Jayawon Mamacos, Fe Reston Janiola, Chuchi Montenegro, Gino Gasang Sumalinog

“…A qualitative research design utilizing the 5-step Interpretative Phenomenological Analysis was used. …”
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