When a giant python appears in a house, most people would run—but wildlife rescuers step in to save the animal instead. At a sanctuary in Thailand, hundreds of rescued creatures are given a second ...
The largest pythons ever recorded show an extreme mix of size, strength, and highly efficient hunting. Unlike venomous predators, they rely entirely on constriction, using powerful coils to stop blood ...
Human behavior is significantly influenced by emotions, with negative sentiments such as fear and anxiety driving various coping mechanisms, including cognitive behavioral therapy (CBT), dietary ...
PyApacheAtlas lets you work with the Azure Purview and Apache Atlas APIs in a Pythonic way. Supporting bulk loading, custom lineage, custom type definition and more from an SDK and Excel templates / ...
This study introduces a valuable simulation-based inference (SBI) framework to identify degenerate compensatory mechanisms that stabilize network activity despite neuronal hyperexcitability, a feature ...
A large body of evidence documents political polarization in national reporting of divisive topics. This study examines this issue empirically for local media reporting using large language models.
Tuberculosis (TB) today remains the leading cause of death by infectious diseases. Drug-resistant TB is a global public health problem and of greatest concern is resistance to the first-line drug ...
This is the official implementaion of paper PrivImage: Differentially Private Synthetic Image Generation using Diffusion Models with Semantic-Aware Pretraining, which is accepted in USENIX Security ...
The objective of this study was to automatically classify surgical plans for maxillary sinus floor augmentation in implant placement at the maxillary posterior edentulous region using a 3D ...
Estimation of cotton yield before harvest offers many benefits to breeding programs, researchers and producers. Remote sensing enables efficient and consistent estimation of cotton yields, as opposed ...
Abstract: Customer value analysis is an important work in customer relationship management. In this paper, we use ABC classification, RFM (Recency, Frequency, Monetary) model and K-means clustering ...
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