Results 261 to 270 of about 389,533 (392)
Association between nocturia and sleep issues, incorporating the impact of lifestyle habits perceived as promoting sleep in an internet survey. [PDF]
Nonaka H+6 more
europepmc +1 more source
Towards edge processing of images from insect camera traps
The advancement of light traps with camera‐based monitoring systems for nocturnal insects necessitates effective and flexible pipelines for analysing recorded images. In this paper, we present a flexible and fast processing pipeline designed to analyse these recordings by detecting, tracking and classifying insects in a broad taxonomy of 15 classes and
Kim Bjerge+2 more
wiley +1 more source
Is it effective to do mathematical analysis for the etiology of nocturia using the nocturia indices derived from the frequency volume chart?: A retrospective observational study. [PDF]
Park S+9 more
europepmc +1 more source
Night lights from space: potential of SDGSAT‐1 for ecological applications
Our study emphasizes the importance of advancing ALAN monitoring from space for ecology and conservation, and it highlights the novel opportunities of SDGSAT‐1. We discuss shortcomings that need to be resolved and identify promising avenues for sound ecological impact assessments of ALAN on ecosystems using space‐borne remote sensing.
Dominique Weber+9 more
wiley +1 more source
Exploring clinical and urinary factors in treatment-resistant vs. treatment-responsive childhood enuresis: a comparative study. [PDF]
Lorestani P+6 more
europepmc +1 more source
Increasing citizen scientist accuracy with artificial intelligence on UK camera‐trap data
Status of 4849 sequences considered in this analysis by each method of acquiring classifications. Correct—label matches expert label, excluded—sequences excluded because they did not meet classification criteria to be analysed (see Methods), conflicting classification—AI and human labels are incongruous, false nothing—‘nothing’ identified but expert ...
C. R. Sharpe+7 more
wiley +1 more source