Multimodal Particulate Matter Prediction: Enabling Scalable and High-Precision Air Quality Monitoring Using Mobile Devices and Deep Learning Models by Hirokazu Madokoro, Stephanie Nix

“…Our approach employs Contrastive Language–Image Pre-Training (CLIP) as a multimodal framework to extract visual features associated with PM concentration from environmental scenes. …”
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KediNet: A Hybrid Deep Learning Architecture for Thai Dessert Recognition by Nawanol Theera-Ampornpunt, Panisa Treepong, Naphadon Phokabut, Sarawut Phlaichana

“…Our main contributions include: 1) the proposal of KediNet, which outperforms nine state-of-the-art deep learning models; 2) a comprehensive comparison of classification performance across different model architectures, image resolutions, and data augmentation techniques; and 3) the creation of THDESS-20, a new publicly available dataset containing 5,242 images across 20 classes of Thai desserts. …”
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Numerical statistical analysis on self-organizing behavior of microfracturing events in rock failure by Houquan Zhang, Hao Shi, Yu Wu, Hai Pu

“…Compared with the limited in situ monitoring data, this simulation can supply more sufficient information for the prediction of unstable failure and good understanding of the failure mechanism.…”
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Characterization of dysfunctional breathing using cardiopulmonary exercise testing by Sebastian F. Möbus, Chris J. Harding, Catherine L. Taylor, Karl P. Sylvester, Jonathan P. Fuld

“…Demographic and CPET performance data were analyzed using non‐parametric tests as appropriate. 94 (15.0%) patients had normal CPETs and 267 (42.5%) were identified as having DB. …”
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Enhancing ESG Insights Using Machine Learning: A Case Study of Top Performing Banks in Indonesia by Dean Tirkaamiana, Satrio Samudro Aji Basuki

“…Lastly, for governance indicator, they are most prominent activity to the security, data, and policy. Overall, leading banks in Indonesia tend to prioritize environmental aspects in their operations. …”
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Postural instability and gait disturbance are associated with abnormal stereopsis in Parkinson's disease. by Jungyeun Lee, Sung Hoon Kang, Seong-Beom Koh

“…<h4>Background</h4>Visual dysfunction, including abnormal stereopsis, is a significant non-motor symptom in Parkinson's disease (PD) that can reduce quality of life and appears early in the disease. …”
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Impact of Melatonin as a Premedication Agent in Caesarean Section on Blood Loss and Postoperative Pain Level by Hussein Alkhfaji, Mohamed Kahloul, Talib Razaq M. Askar, Majid Fakhir Alhamaidah, Hussein Ali Hussein

“…Results. Analyzed collected data showed a significant decrease in blood loss in the melatonin group in comparison with the placebo group as measured by the hemoglobin level. …”
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Machine learning prediction model with shap interpretation for chronic bronchitis risk assessment based on heavy metal exposure: a nationally representative study by Tiansheng Xia, Kaiyu Han

“…The best model was selected by four evaluation metrics: accuracy, specificity, sensitivity, and area under the ROC curve (AUC), and the best model was visually interpreted using Shapley's additive interpretation (SHAP). …”
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A Low-Cost Modulated Laser-Based Imaging System Using Square Ring Laser Illumination for Depressing Underwater Backscatter by Yansheng Hao, Yaoyao Yuan, Hongman Zhang, Shao Zhang, Ze Zhang

“…Underwater vision data facilitate a variety of underwater operations, including underwater ecosystem monitoring, topographical mapping, mariculture, and marine resource exploration. …”
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Understanding dosage effects of traditional Chinese medicine using network analysis by Jiawei Wu, Dianjing Guo

“…This study investigates how integrating dosage data alters network analysis outputs, addressing a fundamental gap in understanding TCM’s dosage-dependent effects.MethodsOur analysis compared dosage-weighted and traditional non-dosage network approaches across 94 traditional Chinese medicine (TCM) prescriptions. …”
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Identification of pyroptosis-associated miRNAs in the immunoscape and prognosis of hepatocellular carcinoma by Yuting Zheng, Xing Huang

“…Materials and methods Our study analyzed miRNA differential expression using data from hepatocellular carcinoma patients in the Cancer Genome Atlas. …”
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Modeling and Optimal Control Analysis Applied to Real Cases of COVID-19 Pandemic with Double Dose Vaccination in Ethiopia by Fekadu Mosisa Legesse, Koya Purnachandra Rao, Temesgen Duressa Keno

“…For the reproduction number, a parametric formula is constructed, and also the associated numerical value is calculated from the reported real data in Ethiopia. Moreover, disease-free and endemic equilibria are determined, and their local and global stabilities are discussed using the Lyapunov function technique. …”
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Bibliometric Analysis for Quality Management in The Manufacturing Sector: 2020 to 2024 by Mazzlida Mat Deli, Amaliyah Amaliyah, Siti Norliyana Harun, Astri Ayu Purwati

“…By synthesizing and visualizing the bibliographic data, this study provides a comprehensive picture of the knowledge landscape, allowing researchers, practitioners, and policymakers to navigate the complexities of quality management in manufacturing and foster continuous improvement initiatives. …”
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The Effects of Acupressure on Postoperative Gastrointestinal Function and Pain in Women with Hysterectomy: A Randomized Controlled Study by Merve Yavaş, Yeliz Yıldırım Varışoğlu

“…Patient information, visual analog scale scores, the Rhodes Index of Nausea, vomiting with retching, and daily follow-up data were collected. …”
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A novel method of complex evaluation of meibomian glands morphological and functional state by V. N. Trubilin, E. G. Polunina, A. E. Alieva, V. V. Kurenkov, A. V. Zhemchugova

“…The results of complex examination (including meibomian glands biometry), correlation analysis data and clinical findings demonstrate direct association between the objective (i.e., meibomian glands dysfunction by biomicroscopy, tear film break-up time / TBUT, symptomatic TBUT, compression testing) and subjective signs of meibomian glands dysfunction (patient’s complaints) and the parameters of meibomian glands biometry. …”
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Social media marketing research: a bibliometric analysis from Scopus by Heba Shaheen

“…Contributions The research emphasizes the need to adopt advanced methodologies, including empirical studies, thematic analysis, and big data analytics, to enhance the rigor of future research. …”
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Social Media Adoption in the Marketing Strategy of Radiant Buket SME: A UTAUT Model Approach by Asniati Bindas, Suharno Pawirosumarto, Lusiana Lusiana, Silvia Sari

“…It also highlights the importance of a data-driven approach in developing sustainable and effective social media marketing strategies.…”
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Interpretable capsule networks via self attention routing on spatially invariant feature surfaces by Peizhang Li, Jiyuan Ru, Qing Fei, Zhen Chen, Bo Wang

“…However, current classification approaches based on convolutional neural networks often suffer from limited generalization and robustness, particularly when processing data characterized by abstract class features and pronounced spatial attributes. …”
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Poisoning accidents in young children—Theory-based evaluation of an mHealth app by Patricia Müller, Annett Schulze, Johanna Geppert, Axel Menning, Fabian Brand, Paula Stehr, Doreen Reifegerste, Constanze Rossmann

“…Major obstacles included a reduced comprehensibility in terms of text design, visualizations, and complex language, all causing high time expenditure. …”
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Development and validation of the pesticides label (pictograms and color codes) questionnaire: A pilot study of farmers' understanding and practices in Lebanon. by Mona Aridi, Sara Abou Ibrahim, Nisreen Alwan, Wissam Ghach

“…Farmers' comprehension of color codes and pictograms of pesticides is crucial for ensuring the safe and effective use of these agricultural chemicals. These visual aids provide essential information about hazards, proper handling, and application methods. …”
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