Meeting Global Health Needs via Infectious Disease Forecasting: Development of a Reliable Data-Driven Framework by Ravikiran Keshavamurthy, Karl T Pazdernik, Colby Ham, Samuel Dixon, Samantha Erwin, Lauren E Charles

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Development and characterization of magnesium-derived metal-organic framework-74 for post-combustion CO2 capture applications by Major M. Mabuza, Glory N. Makuwa

“…The SEM micrographs display diverse morphologies with irregular patterns and cloud-like structures across samples.…”
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Development and validation of machine learning-based diagnostic models using blood transcriptomics for early childhood diabetes prediction by Xin Huang, Xin Huang, Di Ouyang, Weiming Xie, Huawei Zhuang, Siyu Gao, Pan Liu, Lizhong Guo

“…The identified transcriptomic signatures and validated predictive models provide a foundation for developing clinically translatable, non-invasive diagnostic tools. …”
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Development and Assessment of a New Multichannel Electrocutaneous Device for Non-Invasive Somatosensory Stimulation for Magnetic Resonance Applications by Carolina Travassos, Alexandre Sayal, Paulo Fonte, Bruno Direito, Luis Lopes, Nuno Carolino, Sonia Afonso, Tania Lopes, Teresa Sousa, Miguel Castelo-Branco

“…Non-invasive electrocutaneous stimulation, which applies an electrical current flowing through the skin’s surface to elicit a tactile percept, can be used in combination with functional magnetic resonance imaging (fMRI) to obtain somatotopic maps that illustrate the spatial patterns and functional organization of the primary somatosensory cortex (S1). …”
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Development of 3D flow diagnostic numerical simulator and rock property modelling for a homogeneous faulted reservoir by Surajo Muhammed Gwio, Ibrahim Ayuba, Umar Faruk Aminua

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Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

“…This approach enables more precise, efficient, and personalized healthcare interventions, wherein the key steps include: 1) Geometry-based feature selection from high-dimensional health data-This effectively reduces dimensionality while preserving discriminative health patterns. 2) Probabilistic multi-topic representations of individual health profiles-These latent space embeddings capture complex health-need interactions. 3) Graph-based community detection via shared clinical/behavioral traits-The algorithm identifies natural clusters with medical relevance. 4) Personalized intervention ranking by community relevance-This ensures tailored care plan recommendations for each subgroup. …”
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Diagnosis of depression based on facial multimodal data by Nani Jin, Renjia Ye, Peng Li

“…Through the multi-modal feature fusion, the model can effectively capture different feature patterns related to depression.ResultsWe conduct extensive experiments on the publicly available clinical dataset, the Extended Distress Analysis Interview Corpus (E-DAIC). …”
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Enhancing Emergency Response in Road Accidents: A Severity Prediction Framework Using RF-RFE and Deep Learning Model by Chaimaa Chaoura, Hajar Lazar, Zahi Jarir

“…The dataset is refined using Random Forest Recursive Feature Elimination (RF-RFE) to select key features influencing accident severity. …”
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Revisioning Healthcare Interoperability System for ABI Architectures: Introspection and Improvements by João Guedes, Júlio Duarte, Tiago Guimarães, Manuel Filipe Santos

“…The changes introduced in the new version of the system will tackle code quality with automated tests, development workflow, and developer experience, with the introduction of Continuous Integration and Delivery pipelines in the development workflow, new support for the FHIR pattern, and address a few security concerns about the architecture. …”
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Enhancing Cybersecurity Through Fusion of Optimization With Deep Wavelet Neural Networks on Denial of Wallet Attack Detection in Serverless Computing by P. Renukadevi, Sibi Amaran, A. Vikram, T. Prabhakara Rao, Mohamad Khairi Ishak

“…This attack is mainly associated with serverless frameworks due to features like auto-scaling, cost amplification, pay-as-you-go, and limited control. …”
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Relationships between vegetation indices and surface reflectance: Implications for detecting and monitoring sandification in arid regions by Yifan Yue, Wenzhi Zhao, Rentao Liu

“…The regional sandification patterning revealed a distinct “transformation-differentiation” dimension in 2000–2023. …”
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An exploratory analysis of longitudinal artificial intelligence for cognitive fatigue detection using neurophysiological based biosignal data by Sameer Nooh, Mahmoud Ragab, Rania Aboalela, Abdullah AL-Malaise AL-Ghamdi, Omar A. Abdulkader, Ghadah Alghamdi

“…Furthermore, the binary olympiad optimization algorithm (BOOA)-based feature selection is utilized to extract the most informative features, reducing the data dimensionality. …”
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Cytomegalovirus Infection Leads to Development of High Frequencies of Cytotoxic Virus-Specific CD4+ T Cells Targeted to Vascular Endothelium. by Annette Pachnio, Miriam Ciaurriz, Jusnara Begum, Neeraj Lal, Jianmin Zuo, Andrew Beggs, Paul Moss

“…Cytomegalovirus (CMV) infection elicits a very strong and sustained intravascular T cell immune response which may contribute towards development of accelerated immune senescence and vascular disease in older people. …”
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Investigating Phonological Development in L2 and L3 Among Mandarin Speakers in Hong Kong: A Case Study by Tian Jing Xuan

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Energy-Efficient Islanding Detection Using CEEMDAN and Neural Network Integration in Photovoltaic Distribution System by Sulayman Kujabi, Emmanuel Asuming Frimpong, Francis Boafo Effah

“…The detection time was found to be 0.2381 seconds, indicating the method's suitability for real-time applications. Furthermore, feature permutation importance analysis highlighted the critical role of certain features in the model's performance.  …”
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The Problem of Territorial Polarization in Armenia by Gohar Ghambaryan, Vardan Mkhitaryan, Anzhela Ayriyants

“…Against this backdrop, the settlement patterns in Armenia have evolved significantly. This article delves into the features, challenges, and spatial differences of this phenomenon, supported by a thematic map illustrating the changes in Armenia’s settlement patterns. …”
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Genome-wide identification and expression analysis of the Trihelix transcription factor family in potato (Solanum tuberosum L.) during development by Chao Mei, Yuwei Liu, Huiyang Song, Jinghao Li, Qianna Song, Yonghong Duan, Ruiyun Feng

“…Trihelix transcription factors (TF) are photoresponsive proteins featuring a characteristic three-helix structure (helix-loop-helix-loop-helix) and contain the Myb/SANT-LIKE (MSL) domain. …”
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Prognostic value of non-reactive burst suppression EEG pattern associated to early neonatal seizures Valor prognóstico do EEG com padrão de surto-supressão não reativo associado a... by Magda Lahorgue Nunes, Maria Margarida Giraldes, Ana Paula Pinho, Jaderson Costa da Costa

“…However, there are consistent background EEG abnormalities associated to neonatal seizures that are usually related to unfavorable outcome as the burst - suppression pattern. OBJECTIVE: The objective of this study was to correlate clinical and EEG features associated to long - term outcome of newborns with non - reactive burst - suppression (BS) EEG. …”
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Improvement of signal detection based on using machine learning by Bassam Abd

“…During the communication system development over the years, detecting and identifying the signal from the affected noise had the major role and the most attention from the researchers. …”
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Development and pan-cancer validation of an epigenetics-based random survival forest model for prognosis prediction and drug response in OS by Chaoyi Yin, Kede Chi, Zhiqing Chen, Shabin Zhuang, Yongsheng Ye, Binshan Zhang, Cailiang Cai

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