Large language models can write essays, solve math problems, and generate computer code, but it’s not fully understood how ...
In this multicentre, prospective, observational, diagnostic accuracy study of children with suspected pulmonary embolism in ...
Sparse identification of nonlinear dynamical systems is an important project, directly addressing the physics community’s long-standing goal of data-driven discovery. Although many effective methods ...
Abstract: To address the “data silo” challenge in traffic flow data acquisition, this paper proposes a method for estimating urban road segment traffic flow from sparse vehicle trajectory data, ...
Individual sensor systems have limitations in the complex task of classifying shredded tobacco. This study aims to overcome these limitations by developing a novel evolutionary algorithm-based feature ...
Introduction: The dynamic positioning system resists the environmental forces such as wind, wave and current acting on the ship through the thruster, so that the ship can remain in the position ...
Unruptured cerebral aneurysms (UCAs) have a relatively low prevalence of ≈3%, but detection can prevent devastating consequences of subarachnoid hemorrhage. Here, we assess the performance of a ...
Abstract: ER diagrams have a proven track record to rep-resent data structure and relationships, in many CS problems, beyond relational databases. The ER diagram strengths are abstraction, generality, ...
Development and Validation of a Risk Tool for Predicting Severe Toxicity in Older Adults Receiving Chemotherapy for Early-Stage Breast Cancer Patients with untreated ES-SCLC were randomly assigned 1:1 ...
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