Modeling 3D mesoscaled neuronal complexity through learning-based dynamic morphometric convolution

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The Liver-brain Axis: A Three-stage Model Linking MASLD to Cognitive Impairment and Dementia

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Mapping of Subjective Accounts into Interpreted Clusters (MOSAIC): Topic Modelling and LLM applied to Stroboscopic Phenomenology

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Predicting apathy using connectome-based models derived from static and dynamic brain connectivity

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Design and Sample Size Determination for Experiments on Nonresponse Followup using a Sequential Regression Model

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Experimental models of cerebral small vessel disease: Physiological constraints, translational challenges and future directions

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Modeling static friction behavior of elastic–plastic spherical adhesive microcontact in full-stick condition

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Beyond accuracy metrics: Toward responsible integration of large language models in pediatric diagnostic reasoning

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Proteomics-based assessment of the antidiabetic activity by polyherbal formulation in streptozotocin-induced hyperglycemic rat model

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Proteomics-based assessment of the antidiabetic activity by polyherbal formulation in streptozotocin-induced hyperglycemic rat model

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Bleomycin ElectroScleroTherapy (BEST): mechanistic parallels to electrochemotherapy, experimental models, and unresolved questions

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Correction to: Survivorship in advanced ovarian cancer: a prognostic model for overall survival and risk of recurrence

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LSTM-Based Hybrid Deep Learning Models for Visibility Prediction: A Data-Driven Approach

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The Multiscale Non‐Gaussian Statistics of Free‐Running 1000‐Member General Circulation Model Ensembles

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Empirical Model for Predicting the Combustion Performance of Low-Quality Biomass Pellets Based on Experimental Data

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PIXAL: a physics-inspired explainable machine learning architecture for Greenland ice albedo modeling

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Langmuir turbulence in the Arctic Ocean: insights from a coupled sea ice–wave model

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Optimization of exoskeleton design for post-stroke ankle rehabilitation based on kinematic and structural model evaluation

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Development of a Bounded Two-Stage Data Envelopment Analysis Model in the Intuitionistic Fuzzy Environment

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Enhancing Telecom Customer Churn Prediction Through Hyperparameter Tuning and Soft-Voting Ensemble Modeling

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