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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Smart Contract Security in Decentralized Finance: Enhancing Vulnerability Detection with Reinforcement Learning by Jose Juan de Leon, Cenchuan Zhang, Christos-Spyridon Koulouris, Francesca Medda, Rahul

“…This approach utilizes control flow graphs (CFGs) generated through EtherSolve to capture the semantic features of contract bytecode, enabling the reinforcement learning models to recognize patterns and make more accurate predictions. …”
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Morphological multiparameter filtration and persistent homology in mitochondrial image analysis. by Yu-Min Chung, Chuan-Shen Hu, Emily Sun, Henry C Tseng

“…We show that such filtrations contain both topological and geometric information about complex cellular organelle structures, which allows a software program to extract meaningful features. Using this information, we also develop a connectivity index that describes the morphology of the branching patterns. …”
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Linear-nonlinear cascades capture synaptic dynamics. by Julian Rossbroich, Daniel Trotter, John Beninger, Katalin Tóth, Richard Naud

“…This model can capture various experimentally observed features of synaptic dynamics and different types of heteroskedasticity. …”
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Identification of cell adhesion related signature for molecular subtyping and prognostic prediction in acute myeloid leukemia by Caifang Zhao, Xiang Weng, Wei He

“…A prognostic model comprising 8 genes was developed, showing strong predictive power for overall survival and significant correlations with immune cell infiltration patterns. …”
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Quality of life on climacteric nursing professionals by Thamyres Campos Fonsêca, Mariana Nepomuceno Giron, Lina Márcia Miguéis Berardinelli, Lucia Helena Garcia Penna

“… The climacteric has some unique features, especially related to body function, where women experience changes of several orders in this period of life, then, it is important to study the quality of life of nursing professionals. …”
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An Exploration on Aperiodic Activities and Transient Oscillations During Semantic Processing: A Study With Wearable MEG by Xiaoyu Liang, Yuyu Ma, Ruonan Wang, Huanqi Wu, Changzeng Liu, Fuzhi Cao, Nan An, Min Xiang, Yueyang Zhai, Xiaolin Ning

“…However, there is a scarcity of research exploring the semantic-related patterns associated with aperiodic and transient periodic brain activities. …”
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A Reinforced, Event-Driven, and Attention-Based Convolution Spiking Neural Network for Multivariate Time Series Prediction by Ying Li, Xikang Guan, Wenwei Yue, Yongsheng Huang, Bin Zhang, Peibo Duan

“…This paper proposes a reinforced, event-driven, and attention-based convolution SNN model (REAT-CSNN) with three novel features. First, a joint Gramian Angular Field and Rate (GAFR) coding scheme is proposed to convert MTS into spike images, preserving the inherent features in MTS, such as the temporal patterns and spatio-temporal correlations between time series. …”
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DepthFormer: Depth‐Enhanced Transformer Network for Semantic Segmentation of the Martian Surface From Rover Images by Yuan Ma, Zhaojin Li, Bo Wu, Ran Duan

“…This semantic information reveals underlying features and patterns, offering valuable scientific insights. …”
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Proliferative Verrucous Leukoplakia: A Diagnostic Challenge in a Clinical and Histopathological Context—With Reflections on the Health Reality in Brazil by Michele Di Benedetto, Gabriela de Figueiredo Meira, Milena Martins da Rocha, Mariel Ruivo Biancardi, Jéssica Barroso Barbosa, Jeconias Câmara, Gerson de Oliveira Paiva Neto, Roberto Luiz de Menezes Martinho, Cássia Maria Fischer Rubira, Silvia Helena de Carvalho Sales Peres

“…However, due to the diverse histological features observed in PVL, identifying clinical criteria and histological patterns that can be applied by unfamiliar professionals is challenging. …”
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Integrated Wavelet-Grey-Neural Network Model for Heritage Structure Settlement Prediction by Yonghong He, Pengwei Jin, Xin Wang, Shaoluo Shen, Jun Ma

“…Finally, a wavelet reconstruction fusion algorithm is developed to achieve the collaborative optimization of dual-channel prediction results. …”
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Critical Analysis of Audit Committee Reporting in National Government Departments: The Case of South Africa by Tankiso Moloi

“…These benchmark features (categories) were developed using an inductive or bottom up thematic analysis which was applied on the applicable regulations as well as on all NGD’s annual reports to determine the comprehensive themes and patterns of audit committee reporting across the departments. …”
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Integrating Dimensional Analysis and Machine Learning for Predictive Maintenance of Francis Turbines in Sediment-Laden Flow by Álvaro Ospina, Ever Herrera Ríos, Jaime Jaramillo, Camilo A. Franco, Esteban A. Taborda, Farid B. Cortes

“…The synergy lies in DA’s ability to reduce dimensionality and identify meaningful features, which enhances the ML models’ interpretability, while ML leverages these features to model non-linear and time-dependent patterns that DA alone cannot address. …”
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3D-Printed Self-Assembling Helical Models for Exploring Viral Capsid Structures by Donald Plante, Keegan Unzen, John R. Jungck

“…Expanding on prior work with 3D-printed self-assembling spherical capsids, we developed helical models that integrate geometric parameters and magnetic interactions to mimic key features of the assembly process of helical viral capsids. …”
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Three decades of wetland transformation in the middle and lower Yangtze River Basin: classification, inundation dynamics, and ecological impacts by Pingheng Li, Qing Wang, Muhammad Umair, Nargizakhon Shamshieva, Yichen Zheng

“…This study investigates wetland classification and inundation dynamics across the UMRB from 2002 to 2022, employing a multi-tiered remote sensing framework that integrates morphological features, topographic context, seasonal flooding patterns, and landscape configuration using time-series Landsat data. …”
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Machine Learning Approaches to Predict No-Shows in Saudi Arabian Primary and General Healthcare Settings by Abdulrahman Alshehri, Abdullah Saeed, Abdullah AlShafea, Sabah Althubiany, Mohammed Alshehri, Amer Alzahrani, Khalid Hakami, Lamia Ibrahim, Abdulrahim Alshehri, Rana Alamri

“…Regular appointments and PHCCs showed different attendance patterns than hospitals, while walk-in appointments did. …”
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Synthesis of multicolored photoluminescent carbon nanodots and applications to secured tags in anti-counterfeiting, traceability and digital passport product by Aïssatou Coumba Sow, Etienne Palleau, Isabelle Fabre–Francke, Nicolas Ratel-Ramond, Cécile Marcelot, Laurence Ressier

“…The surface is then structured into the shape of patterns of interest by means of a technique derive from UV microprinting. …”
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Assessing Fire Regimes in the Paraguayan Chaco: Implications for Ecological and Fire Management by Cristina Vidal-Riveros, William Jefferson Watler Reyes, Marie Ange Ngo Bieng, Pablo Souza-Alonso

“…This study analyzed the fire regime in the highly diverse Paraguayan Chaco, focusing on different aspects of fire patterns, including spatial (area burned) and temporal (frequency) aspects and magnitude (severity). …”
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Application of a Multi‐Layer Artificial Neural Network in a 3‐D Global Electron Density Model Using the Long‐Term Observations of COSMIC, Fengyun‐3C, and Digisonde by Wang Li, Dongsheng Zhao, Changyong He, Yi Shen, Andong Hu, Kefei Zhang

“…However, it is still a challenging mission to develop a model with high predictability that captures the horizontal‐vertical features of ionospheric electrodynamics. …”
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