Integrative Zoology, EarlyView.Integrating comparative spectrometry, image analysis, and thermal modeling, we reveal that (1) females optimize crypsis via background matching, (2) males prioritize high‐contrast disruptive patterning at a significant thermoregulatory cost (reduced solar heat gain), and (3) habitat‐specific monomorphism in Diploderma slowinskii underscores ecological ...
Yuning Cao, Lin Shi, Yin Qi
wiley +1 more source
A machine learning based empathy mapping framework for enhancing user experience through app review analysis. [PDF]
Sci RepIshfaq F +5 more
europepmc +1 more source
Tales of Cyberspace and Artificial Intelligence: Diverging Stakeholderships?
Global Policy, EarlyView.ABSTRACT This article traces the evolution of the Internet from the 1990s to the 2020s and compares it with the development of Artificial Intelligence (AI), particularly following the public launch of ChatGPT in late 2022. It identifies both parallels and divergencies between these two overlapping technological domains, focusing on the growing ...
Johan Eriksson, Giampiero Giacomello
wiley +1 more source
Predictive Gaze Shifts and Gaze Tracking with Coincidence-Anticipation Timing Responses. [PDF]
Clin Optom (Auckl)Page D, Fogt JS, Fogt N.
europepmc +1 more source
Countering FIMI by Digital Authoritarianisms: Audience Architecture and Reverse Language Engineering
Global Policy, EarlyView.ABSTRACT Foreign information manipulation and interference (FIMI) campaigns on social media are currently both more accessible and more impactful than the North Atlantic Treaty Organization's (NATO) or European Union's (EU), offering their opponents superiority and efficiency on those platforms.
Michelangelo Conoscenti
wiley +1 more source
DA-FIS: A high-speed dynamic adaptive fault injection server framework for reliable FPGA-based embedded systems. [PDF]
PeerJ Comput SciAlhayan F +7 more
europepmc +1 more source
AutoPollS: A tool for automated monitoring of pollinators using deep learning
Methods in Ecology and Evolution, EarlyView.Abstract Deep learning and computer vision hold enormous potential for automated monitoring of biodiversity, including pollinators and other insects. Efficient, scalable monitoring of insect pollinators is crucial given pollinators' role in supporting biodiversity and agricultural productivity amidst declining pollinator populations.
Matthew A.‐Y. Smith +13 more
wiley +1 more source
"Resilient Adaptation: Unveiling Healing of the Brain". [PDF]
Stroke Vasc Interv NeurolKandregula S.
europepmc +1 more source
Mothbox and Mothbot: Automated light trap and data processing system for scalable insect monitoring
Methods in Ecology and Evolution, EarlyView.Abstract Insects represent the most diverse group of organisms on Earth and comprise the majority of known species; yet they are seldom accounted for in large‐scale biodiversity monitoring systems and conservation planning. We have developed the Mothbox—an open source automated light trap that makes insect monitoring accessible to non‐specialists and ...
Hubert A. Szczygieł +5 more
wiley +1 more source
Spatiomotor dynamics of hand movements during the drawing of memory-guided trajectories without visual feedback. [PDF]
J NeurophysiolTyler CW, Mineff KN, Liang M, Likova LT.
europepmc +1 more source