A Two-Stage Deep Fusion Integration Framework Based on Feature Fusion and Residual Correction for Gold Price Forecasting by Cihai Qiu, Yitian Zhang, Xunrui Qian, Chuhang Wu, Jiacheng Lou, Yang Chen, Yansong Xi, Weijie Zhang, Zhenxi Gong

“…The prediction effectiveness is enhanced by employing a variational modal decomposition to cluster time series data into three classes. The first stage employs variational mode decomposition to categorize time series data, improving computational efficiency and initial prediction accuracy. …”
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Traditional Chinese medicine phenomics research on glycolipid metabolism disorder: a review by Xinyi Fang, Linxuan Miao, Yanjiao Zhang, Yuxin Zhang, Runyu Miao, Huifang Guan, Jiaxing Tian

“…Current challenges include the subjective nature of syndrome diagnosis, insufficient standardization of animal models, and lack of integrated multi-omics analysis. Future research should employ machine learning, multimodal data integration, and cross-omics longitudinal studies to establish quantitative diagnostic systems for syndromes, promote the integration of precision medicine in TCM and western medicine, and accelerate the modernization of TCM.…”
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Optimization of Analog Circuit Parameters Using Bidirectional Long Short-Term Memory Coupled with an Enhanced Whale Optimization Algorithm by Hengfei Yang, Shiyuan Yang, Debiao Meng, Chenghao Hu, Chaosheng Wu, Bo Yang, Peng Nie, Yuan Si, Xiaoyan Su

“…The development of surrogate models based on limited data is crucial in enhancing the speed of structural analysis and design optimization. …”
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Psychological and digital factors of student attitudes towards multitasking by E. I. Rasskazova, G. U. Soldatova

“…The data were processed using descriptive statistics, Pearson’s correlation analysis, group comparison methods (Pearson’s Chi-square, Student’s t-test).Results. …”
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«Dette er måten de unge snakker på i dag.» Om elevers bruk av hatprat og nedsettende ytringer by Aslaug Kristiansen, Kristin Endresen-Maharaj, Georg Kristoffer Fjalsett

“…The expressions are often linked to prejudices and stereotypical perceptions and are in the study interpreted as distinctions where the differences that are pointed out have the character of a ranking between “we” and “the others.” 26 school employees responded to a questionnaire and the data collection were analysed using content analysis. …”
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Towards precision diagnosis: a novel hybrid DC-CAD model for lung disease detection leveraging multi-scale capsule networks and temporal dynamics by Esther Stacy E. B. Aggrey, Qin Zhen, Seth Larweh Kodjiku, Linda Delali Fiasam, Collins Sey, Chiagoziem C. Ukwuoma, Evans Aidoo, Emmanuel Osei-Mensah

“…However, traditional diagnostic approaches and standard deep learning models often face challenges in effectively analyzing the complex spatial and temporal variations in medical imaging data, particularly in CT scans. …”
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DisConnect: Characterisation of Screen Use and Perception of Health Problems in Students from Aveiro, Portugal – A Cross-Sectional Study by Fábio Sousa Gomes, José Chen-Xu, Cristina Conceição, Fátima Claro, Emídio Abrantes, Dulce Seabra

“… Introduction: Digitalisation has made technologies an important vehicle for development and learning, especially for children and young people. …”
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Predicting Survival Rates in Brain Metastases Patients from Non‐Small Cell Lung Cancer Using Radiomic Signatures Associated with Tumor Immune Heterogeneity by Fuxing Deng, Gang Xiao, Guilong Tanzhu, Xianjing Chu, Jiaoyang Ning, Ruoyu Lu, Liu Chen, Zijian Zhang, Rongrong Zhou

“…This study aimed to develop an interpretable model for predicting survival in NSCLC patients with brain metastases (BM) integrating radiomic features and RNA sequencing data. 292 samples are collected and analyzed utilizing T1/T2 MRIs. …”
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Arabic Language Curriculum as a Foundation for Strengthening Religious Education in Public Higher Education by Abd Aziz Rekan, Hafeezur Rahman Howell, Muhamad Nasir Mohamad Salleh, Nurhasfirah Rosin, Tabrani ZA, Muhammad Anas Ma`arif, Mohamad Azrien Mohamed Adnan

“…The first phase involved qualitative data collection through semi-structured interviews with 46 informants, classroom observations of two classes and document analysis. …”
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Feeling valued at work: a qualitative exploration of allied health profession support workers by Abigail J. Hall, Victoria A. Goodwin, Lorraine Allchurch, Luke Capon, Vicky Farrell, Oludare Olufunmilayo, Richard Griffin

“…Design This was a qualitative study with semi-structured interviews undertaken virtually. The data were analysed using a process of thematic analysis in order to gain an in depth understanding of the factors that affect support workers feeling “valued”. …”
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172 Collaborations between translational science programs and academic health sciences libraries by Bart Ragon, Sandra Burks, Jill Deaver, Emily Glenn, Kristi Holmes, Megan von Isenburg, Elizabeth C. Whipple

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APLOSE: A web-based annotation platform for underwater passive acoustic monitoring by Gabriel Dubus, Maëlle Torterotot, Julie Béesau, Mathieu Dupont, Anatole Gros-Martial, Mathilde Michel, Elodie Morin, Paul Nguyen Hong Duc, Pierre-Yves Raumer, Olivier Adam, Flore Samaran, Dorian Cazau

“…Emerging detection and classification algorithms based on deep learning models require manageable large-scale manual annotations of ground truth data. …”
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Task based evaluation of sparse view CT reconstruction techniques for intracranial hemorrhage diagnosis using an AI observer model by Matthew Tivnan, Irene Désirée Kikkert, Dufan Wu, Kai Yang, Jelmer M. Wolterink, Quanzheng Li, Rajiv Gupta

“…Traditional reconstruction algorithms, including Filtered Backprojection (FBP) and Model-Based Iterative Reconstruction (MBIR), often produce artifacts in sparse-view data. Deep Learning Reconstruction (DLR) offers potential improvements, but task-based evaluations of DLR in sparse-view CT remain limited. …”
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Comparison of conditioning factor classification criteria in large-scale statistically based landslide susceptibility models by M. Sinčić, S. Bernat Gazibara, M. Rossi, S. Mihalić Arbanas

“…Some of the novelties in LSA are the following: scenarios using stretched landslide conditioning factor values or classification with more than 10 classes prove more reliable; certain statistical methods are more sensitive to the landslide conditioning factor classification criteria than others; all the tested machine learning methods give the best landslide susceptibility model performance using continuous stretched landslide conditioning factors derived from high-resolution input data. …”
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Edge-based detection and localization of adversarial oscillatory load attacks orchestrated by compromised EV charging stations by Khaled Sarieddine, Mohammad Ali Sayed, Sadegh Torabi, Ribal Atallah, Chadi Assi

“…The proposed detection approach was evaluated by building a real-time test bed to synthesize benign and malicious data, which was generated by analyzing real-life EV charging data collected during recent years. …”
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Resources, Potentials and Academic Achievements of Students. Part 1. Differentiation of Resources and Potentials by L. Ya. Dorfman, A. Yu. Kalugin

“…There is no consistency in the interpretations and criteria of personal learning resources and potentials, and the numerous models are inaccurate in most cases.The aim of the present research is to conceptually harmonise and systematise disjointed scientific data on the internal resources and potentials of students as prerequisites for their academic success in higher education.Methodology and research methods. …”
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Integrating experimental-based vulnerability mapping with intelligent identification of multi-aquifer groundwater salinization by Mohamed A. Yassin, Sani I. Abba, A.G. Usman, Syed Muzzamil Hussain Shah, Isam H. Aljundi, Shafik S. Shafik, Zaher Mundher Yaseen

“…This research highlights the potential of combining experimental data with AI-driven approaches for effective water resource management. …”
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SIKAP MAHASISWA TERHADAP BAHASA INDONESIA by Indrya Mulyaningsih

“…The sample of research is each one class from 38 universities in Cirebon region. Based on data analysis it can be concluded that students have good language attitude. …”
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The research of ARIMA, GM(1,1), and LSTM models for prediction of TB cases in China. by Daren Zhao, Huiwu Zhang, Qing Cao, Zhiyi Wang, Sizhang He, Minghua Zhou, Ruihua Zhang

“…It requires an accurate prediction analysis to help to make policymakers with early warning and provide effective precautionary measures. …”
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AI-Driven Optimization of Fly Ash-Based Geopolymer Concrete for Sustainable High Strength and CO₂ Reduction: An Application of Hybrid Taguchi–Grey–ANN Approach by Muhammad Usman Siddiq, Muhammad Kashif Anwar, Faris H. Almansour, Muhammad Ahmed Qurashi, Muhammad Adeel

“…This study addresses this challenge by developing machine learning-optimized geopolymer concrete (GPC) using industrial waste fly ash as cement replacement. …”
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