Feiolix feijoa fruit powder improves metabolic markers in a high fat diet mouse model

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Pasteurized Akkermansia muciniphila AKK ONE improves aging-related phenotypes and increases lifespan in zebrafish models

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Trends of Maize Production in Mozambique: A Fixed Effects Model Analysis of Two Decades (2002-2023)

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DeepCausalMMM: A Deep Learning Framework for Marketing Mix Modeling with Causal Structure Learning

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Integrated groundwater flow modeling and prediction of septic-derived phosphate plume in shallow aquifers of the Niger Delta

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Parameter Efficient Models for Malaria Detection and Classification Using Small-Scale Imbalanced Blood Smear Images

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Correction to “Developing epidemiological preparedness for a plant disease invasion: Modelling citrus huánglóngbìng in the European Union”

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Dynamic and steric sea-level changes due to a collapsing AMOC in the Community Earth System Model

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Enhanced Web Payload Classification Using WAMM: An AI-Based Framework for Dataset Refinement and Model Evaluation

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Design of an integrated federated large language models for semantic reasoning and self-organizing 6G networks

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Influence of k-wire placement on impact mechanics and bone fracture in a rabbit model of cartilage injury

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Biogenic Copper Oxide@rGO Nanocomposite for Decontamination of a Food Threat in a Rice Model

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Communication network and source-grid-load-storage transient coupling modeling method for new power systems

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Diagnostic Accuracy of Cardiovascular Disease Prediction Models: A Systematic Review and Meta‐Analysis of Validation Studies

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Learning From the Adoption of a Readmission Clinical Decision Support Tool: Group Model Building Approach

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A Comprehensive Hybrid and Flexible (‘HyFlex’) Course Architecture for Conceptual Modelling Courses in Information Systems

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Exploring Ways to Reduce Biases in a Hybrid Global Climate Model With Machine‐Learned Moist Physics

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Differential Effects of Valproic Acid and Levetiracetam on Freezing Behavior in A Pentylenetetrazol-Induced Seizure Model in Rats

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Model-Free Deep Reinforcement Learning Control for Grid-Connected Packed U-Cell Multilevel Inverters

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The TEA Nets framework combines AI and cognitive network science to model targets, events and actors in text

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