Older adults' needs and preferences for a nutrition education digital health solution: A participatory design study by Ashlee Turner, Victoria M. Flood, Haley M. LaMonica

“…Patient or Public Contribution Older adults actively participated in the development and evaluation process to generate ideas about potential features, functionalities, uses and practicalities of an online nutrition education resource.…”
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Identification of the Casparian strip integrity factor (CIF) gene family in Brassica napus and functional prediction of mature CIF small peptides by Miao Cheng, Hanbing Hu, Rui Chen, Ling He, Shanshan Wang, Yuling Zheng, Jiten Yadav, Hosam O. Elansary, Nisha Jaswal, Deepak Bhanot, Changli Zeng, Xiaoyun Liu

“…Abstract Background Small peptides of the CIF family act as signaling molecules and participate in important signaling pathways, playing crucial roles in the processes of plant development and the environmental response. However, the CIF family has not been identified in the allopolyploid Brassica napus. …”
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Facial expression recognition through muscle synergies and estimation of facial keypoint displacements through a skin-musculoskeletal model using facial sEMG signals by Lun Shu, Victor R. Barradas, Zixuan Qin, Yasuharu Koike

“…The development of facial expression recognition (FER) and facial expression generation (FEG) systems is essential to enhance human-robot interactions (HRI). …”
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Graphical representation of landscape heterogeneity identification through unsupervised acoustic analysis by Maria J. Guerrero, Camilo Sánchez‐Giraldo, César A. Uribe, Víctor M. Martínez‐Arias, Claudia Isaza

“…Abstract Changes in land use and climate change threaten global biodiversity and ecosystems, calling for the urgent development of effective conservation strategies. Recognizing landscape heterogeneity, which refers to the variation in natural features within an area, is crucial for these strategies. …”
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Expression and polymorphism of lTLR4 receptors in pathogenesis of chronic obstructive pulmonary disease: a modern view by V. A. Beloglazov, I. A. Yatskov, Rean Hayrievna Useinova

“…By recognizing the pathogen-associated molecular patterns (PAMPs) expressed on infectious agents, TLRs mediate the production of cytokines necessary for the development of effective immunity. …”
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Urban Flood Modelling: A Geospatial Evaluation of Drainage Systems for Resilient City Planning in Lusaka by Penjani Hopkins Nyimbili, Mukuka Himunga Mulenga, Bwalya J. Kawimbe, Faustin A. S. Banda, Erastus Misheng’u Mwanaumo, Wellington Didibhuku Thwala

“…By integrating factors such as slope, hydrostatic potential surface, and the built environment, a predictive flood model was developed. The methodology involved using Geographic Information System (GIS) techniques and digital elevation models (DEMs) to assess geological features and manmade structures. …”
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Examining peptide–gold nanoparticle interactions through explainable machine learning by Malak Gamal Abdelmeguid, Jose Isagani B. Janairo, Nishanth G. Chemmangattuvalappil

“…However, the need for interpretability in ML models is crucial, as it fosters deeper understanding about the underlying factors driving the predictions, thereby ensuring technical soundness and replicability. This work develops an explainable binary machine learning classifier using rough sets as the algorithm and amino acid composition as the features. …”
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Classification of Anxiety Levels of IGD Patients at RSU Royal Prima Medan Using Support Vector Machine (SVM) Algorithm by Kharisma Gunanta Ginting, Nugroho Prasetyo, Al Vino Gunawan, Magdalena Sihombing, Adli Abdillah Nababan

“…Visualization of the relationships between numerical features also reveals significant correlation patterns between physiological variables and patient anxiety levels. …”
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Optimizing physical education schedules for long-term health benefits by Liang Tan, Qin Chen, Jianwei Wu, Mingbang Li, Tianyu Liu

“…The developed DL model integrates convolutional neural network (CNN) layers to capture spatial features and long short-term memory (LSTM) layers to extract temporal patterns from demographic and activity-related variables. …”
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Enhancing student success prediction in higher education with swarm optimized enhanced efficientNet attention mechanism. by Meshari Alazmi, Nasir Ayub

“…Initially, data is passed through preprocessing to address outliers and missing values. In addition, we developed a novel hybrid feature selection model that combined correlation filtering with mutual information, Cross-Validation (CV) along with Recursive Feature Eliminatio (RFE) (R, and stability selection to identify the most impactful features. …”
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Science of science by S. Fortunato, C. T. Bergstrom, K. Börner, J. A. Evans, D. Helbing, S. Milojević, A. M. Petersen, F. Radicchi, R. Sinatra, B. Uzzi, A. Vespignani, L. Waltman, D. Wang, A.-L. Barabási

“…The science of science uses large-scale data on the production of science to search for universal and domainspecific patterns. Here, we review recent developments in this transdisciplinary field.…”
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Digital Storytelling for People With Cognitive Impairment Using Available Mobile Apps: Systematic Search in App Stores and Content Analysis by Di Zhu, Abdullah Al Mahmud, Wei Liu, Dahua Wang

“…The analysis revealed patterns in platform diversity and geographical distribution of developers, with apps available on both iOS and Android. …”
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A codon usage-based approach for the stratification of Influenza A across recent spillovers by Tommaso Alfonsi, Matteo Chiara, Anna Bernasconi

“…The approach developed in this work provides a scalable framework for IAV genomic surveillance, offering insights into viral evolution and shared patterns of codon usage preferences. …”
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Investigating bearing and gear vibrations with a Micro-Electro-Mechanical Systems (MEMS) and machine learning approach by Gagandeep Sharma, Tejbir Kaur, Sanjay Kumar Mangal, Amit Kohli

“…Further, an RF model is also developed to classify different types of faults based on features extracted from the acquired vibration data. …”
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Multinomial logit regression adoption: Identifying user characteristics of e-wallets in Can Tho City, Vietnam by Ngan Thi Thuy Nguyen, Khe Son Tran

“…E-wallet service providers could identify their target audience through the research findings and then work on developing both existing and new features that align with the needs of those potential users, all aimed at boosting loyalty and expanding user density. …”
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Enhancing hand-drawn diagram recognition through the integration of machine learning and deep learning techniques by Vanita Agrawal, MVV Prasad Kantipudi, Jayant Jagtap

“…Additionally, deep learning techniques, which are well known for their ability to find intricate patterns and features in data, are incorporated into the proposed system. …”
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Colour Association with Music Is Mediated by Emotion: Evidence from an Experiment Using a CIE Lab Interface and Interviews. by PerMagnus Lindborg, Anders K Friberg

“…Correlation analysis suggested patterns of relationships between audio features and colour patch parameters. …”
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sEMG-based gesture recognition using multi-stream adaptive CNNs with integrated residual modules by Yutong Xia, Dawei Qiu, Cheng Zhang, Jing Liu

“…Compared with other deep learning models, MSACNN-RM achieves higher accuracy compared to existing models.DiscussionThe proposed model explores features of sparse sEMG signals by leveraging multi-stream convolution, the combination of adaptive convolution modules and ResNet blocks enhances the model’s ability of extracting crucial gesture features. …”
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Computational characterization of modes of transcriptional regulation of nuclear receptor genes. by Yogita Sharma, Chandra Sekhar Reddy Chilamakuri, Marit Bakke, Boris Lenhard

“…We find that nuclear receptor genes involved in developmental roles show strong evidence of long-range mechanism of transcription regulation with distinct cis-regulatory content they feature clusters of highly conserved non-coding elements distributed in regions spanning several Megabases, long and multiple CpG islands, bivalent promoter marks and statistically significant higher enrichment of enhancer mark around their gene loci. …”
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Petrogenesis, geodynamic setting, age of Rhyacian igneous rocks, from Nampala gold deposit: Implications for the crustal growth of the Birimian terrain in southern Mali by Sory I.M. Konate, Mamadou L. Bouare, Anthony T. Bolarinwa, Daniel Kwayisi, Raymond Webrah Kazapoe, Elhadji Mory Traore, N.’Tcha Daniel Kouagou N’Dah

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