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Predictive Models
This chapter introduces the topic of predictive models in sports. These models are driven by the idea of coming up with the most accurate data-based...
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Animal models of postpartum hemorrhage
Postpartum hemorrhage (PPH)—heavy bleeding following childbirth—is a leading cause of morbidity and mortality worldwide. PPH can affect individuals...
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Ecological Models
Models in ecology vary widely in form and function. In some cases, ecological models are developed primarily as qualitative conceptual frameworks...
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Experimental Zebrafish Models of Synaptopathies
AbstractSynaptopathies represent a heterogeneous group of severe, debilitating neurological diseases characterized by structural and functional...
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Matrix community models for ecology and evolution
Ecological communities are shaped by biotic interactions as well as environmental forces, and both must be incorporated to obtain models capable of...
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Can large language models understand molecules?
PurposeLarge Language Models (LLMs) like Generative Pre-trained Transformer (GPT) from OpenAI and LLaMA (Large Language Model Meta AI) from Meta AI...
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Occupancy models with autocorrelated detection heterogeneity
Occupancy models are commonly used in statistical ecology to model binary detection/non-detection data. These hierarchical models make a distinction...
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Organ-on-chip models for infectious disease research
Research on microbial pathogens has traditionally relied on animal and cell culture models to mimic infection processes in the host. Over recent...
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Stem cell models of inherited arrhythmias
Inherited arrhythmias are a heterogeneous group of conditions that confer risk of sudden death. Many inherited arrhythmias have been linked to...
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Catch-Effort Models
This chapter is a continuation of the previous chapter relating to removal models, but more focussed on the use of effort data. Here, the emphasis is...
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Female aging: when translational models don’t translate
For many pathologies associated with aging, female patients present with higher morbidity and more frequent adverse events from treatments compared...
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Mechanistic microclimate models and plant pest risk modelling
Climatic conditions are key determining factors of whether plant pests flourish. Models of pest response to temperature are integral to pest risk...
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Precision nephrotoxicity testing using 3D in vitro models
Nephrotoxicity is a significant concern during the development of new drugs or when assessing the safety of chemicals in consumer products....
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Embodied human language models vs. Large Language Models, or why Artificial Intelligence cannot explain the modal be able to
This paper explores the challenges posed by the rapid advancement of artificial intelligence specifically Large Language Models (LLMs). I show that...
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Host-Parasitoid Models
We can also develop models for the interaction between hosts and parasitoid insects. We will see these are related to our previous predator-prey...
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OBSERVE: guidelines for the refinement of rodent cancer models
Existing guidelines on the preparation (Planning Research and Experimental Procedures on Animals: Recommendations for Excellence (PREPARE)) and...
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Mechanical models and measurement methods of solid stress in tumors
AbstractIn addition to genetic mutations, biomechanical factors also affect the structures and functions of the tumors during tumor growth, including...
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Emergent analogical reasoning in large language models
The recent advent of large language models has reinvigorated debate over whether human cognitive capacities might emerge in such generic models given...
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Animal models of primary biliary cholangitis: status and challenges
BackgroundPrimary biliary cholangitis (PBC) is an autoimmune liver disease. The aetiology of PBC remains unclear, and its pathogenesis is complex....
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Ecoregional height–diameter models for Scots pine in Turkiye
Ecoregion-based height-diameter models were developed in the present study for Scots pine ( Pinus sylvestris L.) stands in Turkiye and included...
