Harnessing multimodal approaches for depression detection using large language models and facial expressions by Misha Sadeghi, Robert Richer, Bernhard Egger, Lena Schindler-Gmelch, Lydia Helene Rupp, Farnaz Rahimi, Matthias Berking, Bjoern M. Eskofier

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Rapidly Varying Ionization Features in a Quasi-periodic Eruption: A Homologous Expansion Model for the Spectroscopic Evolution by Joheen Chakraborty, Peter Kosec, Erin Kara, Giovanni Miniutti, Riccardo Arcodia, Ehud Behar, Margherita Giustini, Lorena Hernández-García, Megan Masterson, Erwan Quintin, Claudio Ricci, Paula Sánchez-Sáez

“…We interpret our results with orbiter–disk collisions in an EMRI system, in which each impact drives a shock that locally heats the disk and expels X-ray-emitting debris undergoing radiation-pressure-driven homologous expansion. We explore an analytical toy model that links the rapid change in absorption lines to the evolution of the ionization parameter and the photosphere radius, and we suggest that ∼10 ^−3 M _⊙ ejected per eruption with expansion velocities up to ${v}_{{\rm{\max }}}\sim 0.15c$ can reproduce the absorption features. …”
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Application of predictive models in boosting power of Alzheimer's disease clinical trials: A post hoc analysis of phase 3 solanezumab trials by Ali Ezzati, Christos Davatzikos, David A. Wolk, Charles B. Hall, Christian Habeck, Richard B. Lipton

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Study of component features of essential oils of <i>Rosmarinus officinalis</i> and <i>Salvia sclarea</i> of Crimean origin by R. E. Ermachenkov, A. L. Markov, M. M. Agaev, E. V. Burtseva, I. I. Terninko

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Detection of Immunochemical Reactions Using Piezoquartz Immunosensor. Regeneration of the Electrode Bio-layer (Review) by S. S. Gogina, E. A. Smirnova, Ya. M. Stanishevskii, A. M. Stoinova

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A Physics-Guided Bayesian Neural Network for Sensor Fault Detection in Wind Turbines by MD Azam Khan, Arifur Rahman, Farhad Uddin Mahmud, Kanchon Kumar Bishnu, Hadiur Rahman Nabil, M. F. Mridha, Md. Jakir Hossen

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Chemical Nose-Based Non-Invasive Detection of Breast Cancer Using Exhaled Breath by Yosef Matana, Shai Libson, Barak Amihood, Zvi Boger, David Lieberman, Offer Zeiri, Yehuda Zeiri

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Estimation of the High-Frequency Feature Slope in Gravitational Wave Signals from Core Collapse Supernovae Using Machine Learning by Alejandro Casallas-Lagos, Javier M. Antelis, Claudia Moreno, Ramiro Franco-Hernández

“…We conducted an in-depth exploration of the use of different machine learning (ML) for regression algorithms, including Linear, Ridge, LASSO, Bayesian Ridge, Decision Tree, and a variety of Deep Neural Network (DNN) architectures, to estimate the slope of the high-frequency feature (HFF), a prominent emergent feature found in the gravitational wave (GW) signals of core collapse supernovae (CCSN). …”
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Study of anatomy-diagnostic features of leaves of <i>Cynara scolymus</i> L. grown under the conditions of the Kyrgyz Republic by S. C. Chubakova, N. T. Farmanova, N. V. Bobkova, T. A. Mamatov

“….), collected in the flowering phase (June) of 2023, in the Osh region of the Kyrgyz Republic, were used as the object of the study. To detect characteristic external features of artichoke prickly leaves, an external examination of the analytical sample was carried out visually (10 × ). …”
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A Machine Learning Based Framework for a Stage-Wise Classification of Date Palm White Scale Disease by Abdelaaziz Hessane, Ahmed El Youssefi, Yousef Farhaoui, Badraddine Aghoutane, Fatima Amounas

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Detection of Cross-Line Successive Faults in Non-Effective Neutral Grounding Distribution Networks by Yuxuan Jin, Bin Wang, Mingming Xu, Ruirui Xie, Zhi Li, Xuan Dong

“…Based on these distinctive features, the paper proposes a detection method for successive cross-line grounding faults with varying fault phases. …”
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Carbon dot-assisted synthesis of gold nanoparticles for the development of a detection platform for trichlorfon by Pramila Murugesan, J.A. Moses

“…Owing to their unique physicochemical features, gold nanoparticles (AuNPs) stand out as an excellent platform for analyte detection with appreciable accuracy. …”
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Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods by Said Ziani, Yousef Farhaoui, Mohammed Moutaib

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Multimodal deep ensemble classification system with wearable vibration sensor for detecting throat-related events by Yonghun Song, Inyeol Yun, Sandra Giovanoli, Chris Awai Easthope, Yoonyoung Chung

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Quantitative Analysis of Sulfur Elements in Mars-like Rocks Based on Multimodal Data by Yuhang Dong, Zhengfeng Shi, Junsheng Yao, Li Zhang, Yongkang Chen, Junyan Jia

“…Furthermore, to optimize model performance, different feature selection algorithms were evaluated. Ultimately, an XGBoost-based feature selection method incorporating prior knowledge was employed to identify optimal LIBS spectral features, and the selected feature subsets were utilized in multimodal modeling to enhance stability. …”
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V-STAR: A Cloud-Based Tool for Satellite Detection and Mapping of Volcanic Thermal Anomalies by Simona Cariello, Arianna Beatrice Malaguti, Claudia Corradino, Ciro Del Negro

“…Here, we present V-STAR as a robust and accessible tool that integrates satellite data and advanced analytics. Through its intuitive interface, V-STAR provides a comprehensive visualization of key volcanic features. …”
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Immobilization of DNA Aptamers on Polyester Cloth for Antigen Detection by Dot Blot Immunoenzymatic Assay (Aptablot) by Sally Smiley, Maria DeRosa, Burton Blais

“…The assay principle described herein should be broadly applicable to many situations where analytes must be detected in complex samples, with the main limiting factor being the availability of suitable DNA aptamers.…”
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A Statistical Framework to Detect and Quantify Operator-Learning Curves in Medical Device Safety Evaluation by Ssemaganda HC, Davis SE, Govindarajulu US, Koola JD, Mao J, Westerman DM, Perkins AM, Speroff T, Ramsay CR, Sedrakyan A, Ohno-Machado L, Matheny ME, Resnic FS

“…Correctly attributing safety signals to learning or device effects allows for appropriate corrective actions and recommendations to improve patient safety.Objective: To develop and assess the statistical performance of an analytic framework to detect the presence of LE and quantify the learning curve (LC).Design and Setting: We generated synthetic datasets based on observed clinical distributions and complex feature correlations among patients hospitalized at US Department of Veterans Affairs facilities. …”
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Innovative Ag@Au nanozyme-enhanced organic photoelectrochemical transistor for ultrasensitive ochratoxin A detection by Shusheng Wei, Yuchen Shen, zhanpeng Zhang, Juan Wang

“…The OPECT sensor demonstrates outstanding analytical capabilities for OTA, featuring a wide dynamic range from 10−5 ng/mL to 10 ng/mL and a detection limit of 0.0206 pg/mL. …”
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A novel ensemble Wasserstein GAN framework for effective anomaly detection in industrial internet of things environments by Rubina Riaz, Guangjie Han, Kamran Shaukat, Naimat Ullah Khan, Hongbo Zhu, Lei Wang

“…The results demonstrate that our approach significantly enhances the detection of minority-class events, resulting in more reliable industrial analytics and informed operational decision-making.…”
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