Results 111 to 120 of about 366,295 (267)
LLM‐based keyword augmentation for title‐driven evidence selection: A practical approach
Journal of Forensic Sciences, EarlyView.Abstract Keyword‐based search is widely used in digital forensic investigations, yet its effectiveness depends strongly on investigator experience, leading to inconsistent results and missed evidence. While previous studies have explored machine learning and large language models (LLMs) to address this, practical deployment is often constrained by ...
Sanghyun Yoo, Doowon Jeong
wiley +1 more source
Diseño de un cluster de alta disponibilidad para un entorno educativo virtual universitario [PDF]
Revista Ingeniería UC, 2018 La presente investigación se enfoca en presentar el diseño de un clúster de alta disponibilidad, bajo la plataforma de software de distribución gratuita, linux CentOS 7, para el Ambiente del Aula Virtual de la Facultad de Ingeniería de la Universidad de ...
Herney Perafan +3 more
doaj
Iflaviruses in arthropods: when small is mighty
Insect Science, EarlyView.Many arthropod species harbor iflaviruses, which often cause covert (asymptomatic) infections, but may still affect host fitness. We review the impact of iflaviruses on arthropod fitness, immunity, behaviour as well as the iflavirus’ host range, transmission, tissue tropism and the interactions with other microorganisms within arthropods.
Annamaria Mattia +3 more
wiley +1 more source
Criminology, EarlyView.Abstract We investigate how the affordances of an online context shape the processes of social learning. Using a dataset of more than 11,000 posts from the fraud subdread on the dark web forum Dread, we examine how affordances of platform governance, connectivity, anonymity, invisibility, asynchronicity, and limited oversight influence the components ...
Fangzhou Wang, Timothy Dickinson
wiley +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
Methods in Ecology and Evolution, EarlyView.Abstract Bioclimatic variables, widely used in ecological and biogeographical studies, are typically derived from 30‐year averages of monthly data (e.g. 1971–2000). Unfortunately, the use of these long‐term averaged variables often creates a temporal mismatch with the observational data collected, which potentially undermines how environmental ...
Gonzalo E. Pinilla‐Buitrago +1 more
wiley +1 more source
Gentoo Linux for Neuroscience - a replicable, flexible, scalable, rolling-release environment that provides direct access to development software [PDF]
Research Ideas and Outcomes, 2017 Horea-Ioan Ioanas +2 more
doaj +2 more sources
Using portable monitoring for heterogeneous clusters on Windows and Linux operating systems
Journal of Computer Science and Technology, 2003 This paper describes the advances obtained with the XPVM-W95 2.0, a novel monitoring tool for parallel applications that employ PVM-W95 (PVM for Windows) as well as PVM for Linux.
Daniel Kikuti +2 more
doaj
When machines invent: How AI shapes patent litigation outcomes
American Business Law Journal, EarlyView.Abstract Artificial intelligence (AI) is no longer merely a tool of invention. It has become an inventor. As AI systems increasingly contribute to the design and discovery of new technologies, their involvement raises novel challenges for patent law. This essay presents the first empirical test of whether jurors systematically perceive alleged patent ...
Joseph J. Avery, W. Michael Schuster
wiley +1 more source
Installing, Running and Maintaining Large Linux Clusters at CERN
, 2003 Having built up Linux clusters to more than 1000 nodes over the past five years, we already have practical experience confronting some of the LHC scale computing challenges: scalability, automation, hardware diversity, security, and rolling OS upgrades ...
Bahyl, Vladimir +6 more
core +1 more source