Longitudinal Digital Phenotyping of Multiple Sclerosis Severity Using Passively Sensed Behaviors and Ecological Momentary Assessments: Real-World Evaluation by Zongqi Xia, Prerna Chikersal, Shruthi Venkatesh, Elizabeth Walker, Anind K Dey, Mayank Goel

“…Smartphone sensors recorded call activity, location, and screen use, while fitness trackers captured heart rate, sleep patterns, and step count. We extracted patient-level behavioral features and categorized them into 2 feature sets: one from the prediction period (called action) and one from the preceding period (called context). …”
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ECG-LM: Understanding Electrocardiogram with a Large Language Model by Kai Yang, Massimo Hong, Jiahuan Zhang, Yizhen Luo, Suyuan Zhao, Ou Zhang, Xiaomao Yu, Jiawen Zhou, Liuqing Yang, Ping Zhang, Mu Qiao, Zaiqing Nie

“…To address the scarcity of text–ECG data, we generated text–ECG pairs by leveraging detailed ECG pattern descriptions from medical guidelines, creating a robust dataset for pre-training ECG-LM. …”
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Clinical manifestations, histopathological changes and quality of life in patients with advanced knee osteoarthritis caused by age, trauma, obesity and their combination by Kristina V. Korochina, Tatyana V. Chernysheva, Irina E. Korochina

“…The methodological basis for differential approach to treating different categories of OA patients was developed.…”
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Ripening Study Based on Multi-Structural Inversion of Cherry Tomato qMRI by Yanan Li, Jingfa Yao, Wenhui Yang, Zhao Wei, Peng Luan, Guifa Teng

“…This study introduces a non-destructive, quantitative method using low-field MRI to assess moisture mobility and content distribution in cherry tomatoes. This study developed an advanced 3D non-local mean denoising model to enhance tissue feature analysis and applied an optimized TransUNet model for structural segmentation, obtaining multi-echo data from six tissue types. …”
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Сhild-parent relationship as a predictor of youth’s financial activity by N. E. Zhdanova, I. V. Vorobeva, M. S. Krivoshchekova, S. I. Velkova

“…The study of financial behaviour and human activity in relation to the management of material resources seems relevant both from the point of view of identifying potential risks of deviant behaviour patterns in this area, and identifying training opportunities for effective management of their own financial resources. …”
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Modify a dual ridge horn antenna for drone jamming applications by Alaa Hussein Hilal, Ahmed Hameed Reja, Mohammed J. Mohammed

“…Handheld anti-drone jammer antennas require high-gain directivity beam patterns with narrow half-power beam widths (HPBW) while also covering multiple frequency bands that are used by drones. …”
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METAMORPHIC CORE COMPLEXES OF THE TRANSBAIKALIA: REVIEW by Anatoly M. Mazukabzov, Eugene V. Sklyarov, Tatiana V. Donskaya, Dmitry P. Gladkochub, Valentin S. Fedorovsky

“…Metamorphic core complexes (hereafter MCC) revealed in the Transbaikalia have similar features of their patterns. Three levels can be distinguished by structural­material indicators: core, zone of mylonites (dynamically metamorphosed rocks) and overlying formations. …”
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Eye Movement Indicator Difference Based on Binocular Color Fusion and Rivalry by Xinni Zhang, Mengshi Dai, Feiyan Cheng, Lijun Yun, Zaiqing Chen

“…This finding provides empirical support for understanding the neural computational models of binocular vision and lays a methodological foundation for developing visual impairment assessment tools based on eye movement features.…”
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A Spatial Analysis of Atmospheric Ammonia and Ammonium in the U.K. by M.A. Sutton, Y.S. Tang, U. Dragosits, N. Fournier, A.J. Dore, R.I. Smith, K. J. Weston, D. Fowler

“…The combination of model and measurements is applied to estimate spatial patterns of dry deposition to different vegetation types. …”
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Nanoscale investigations of complex microbial interactions with terrestrial and extraterrestrial minerals using STEM based approach: implications for life on Earth and beyond by Tetyana Milojevic, Mihaela Albu, Ilse Letofsky-Papst, Artem Mashchenko

“…By means of STEM based nanoscale resolution ultrastructural studies coupled to energy dispersive spectroscopy (EDS) and electron energy loss spectroscopy (EELS), we have investigated remarkable metal redox events and unique ultrastructural features of the mineral-microbial interfaces with regard to the mechanisms of mineral biotransformation mediated by various chemolithoautotrophs; the subcellular localization of metal incorporation and binding sites; the chemical nature of the metal complexes formed at the microbe-mineral interfaces; and biomineral patterns formed during the biotransformation of terrestrial minerals and astromaterials. …”
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A multiparametric perspective on C6 and F98 cell lines in orthotopic rat models for glioblastoma research by Carlos Caro, Nuria Arias-Ramos, Jesús David Urbano-Gámez, Raquel González-Alday, Pilar López-Larrubia, María Luisa García-Martín

“…Moreover, the two cell lines showed different responses to the host environment, with F98 consistently forming infiltrative tumors across rat strains, while C6 showed variability in tumor growth patterns, suggesting a greater dependence on the host microenvironment. …”
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Decoding stimulus-specific regulation of promoter activity of p53 target genes by Flavia Vigliotti, Nicolai Engelmann, Mark Sinzger-D’Angelo, Heinz Koeppl, Heinz Koeppl, Alexander Loewer, Alexander Loewer

“…Here, we characterized how stimulus-dependent p53 dynamics are converted into specific gene regulation patterns by inducing diverse forms of DNA damage ranging from ionizing and UV radiation to clinically relevant chemotherapeutics. …”
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Arginine methylation modulates tumor fate and prognosis in clear cell renal cell carcinoma by Jiahao Wang, Dan Bao, Xiaochao Chen, Zijie Yu, Weiyu Kong, Chen Xu, Songtao Li, Yulin Yue

“…Single-cell RNA sequencing datasets were employed to evaluate gene expression patterns at the cellular level. Consensus clustering, KM survival analysis, and GSVA were applied to identify molecular subtypes and related pathways. …”
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A semi-mechanistic mathematical framework for simulating multi-hormone dynamics in reproductive endocrinology by Alexandre Vallée, Anis Feki, Gaby Moawad, Jean-Marc Ayoubi

“…PCA showed clear separation between phenotypes, consistent with known endocrine patterns. Logistic regression achieved 100 % accuracy, sensitivity, and specificity, with an AUC of 1.00, confirming robust, phenotype-discriminative features in the synthetic dataset. …”
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Data-Driven Approaches for Efficient Vehicle Driving Analysis: A Survey by Iryna I. Husyeva, Ismael Navas-Delgado, José García-Nieto

“…Efficient vehicle driving generally intends to reduce fuel consumption, emissions of harmful substances, and accident rates based on energy-efficient driving patterns as a set of parameters defining optimal vehicle and route characteristics, together with specific ways of driving a vehicle that the particular driver applies. …”
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Transient Overvoltage Prediction Method for Renewable Energy Stations via Knowledge-Embedded Enhanced Deep Neural Network by Guangyao Wang, Jun Liu, Jiacheng Liu, Yuting Li, Tianxiao Mo, Sheng Ju

“…By incorporating theoretical calculation values of the TOV into the input features, the task of the deep neural network (DNN) shifts from mining relationships within large datasets to revealing the correlation patterns between theoretical calculations and real values, thereby improving the robustness of the prediction model in cases of insufficient training data and irrational feature construction. …”
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GDText-VM: an arbitrary-shaped scene text detector based on globally deformable VMamba by Yingnan Zhao, Zheng Hu, Fangqi Ding, Jielin Jiang, Xiaolong Xu

“…This module facilitates the fusion of global channel and spatial features, effectively mitigating the impact of feature imbalance on fitting performance and significantly enhancing text detection accuracy. …”
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Leveraging ensemble convolutional neural networks and metaheuristic strategies for advanced kidney disease screening and classification by Abeer saber, Esraa Hassan, Samar Elbedwehy, Wael A. Awad, Tamer Z. Emara

“…By harnessing these technologies, we can analyze data to gain insights into symptoms and patterns, ultimately facilitating remote patient care. …”
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Dissecting Morphological and Functional Dynamics of Non‐Tumorigenic and Triple‐Negative Breast Cancer Cell Lines Using PCA and t‐SNE Analysis by Yazan A. Almahdi, Eva R. Schwark, Aidan J. Mclaughlin, Besa Xhabija

“…In contrast, MCF10A cells exhibited larger sizes and more regular migration patterns, suggesting stability in structured tissue environments. …”
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Identifying Wet Troposphere Delay in L‐Band InSAR Using Weather Radar Reflectivity by Talib Oliver‐Cabrera, Cathleen E. Jones, Marc Simard, Bhuvan Varugu, Saoussen Belhadj‐Aissa

“…NEXRAD's 5‐min scanning interval, compared to UAVSAR's 30‐min revisit time, enabled detection of phase artifacts caused by fast‐moving and developing clouds. We identify regions in InSAR interferograms with troposphere‐induced phase artifacts by matching features common to InSAR phase outlier masks and NEXRAD high reflectivity masks. …”
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