Results 221 to 230 of about 41,661 (290)

Do robots boost productivity? A quantitative meta‐study

Journal of Economic Surveys, Volume 40, Issue 3, Page 1531-1571, July 2026.
ABSTRACT This meta‐study analyzes the productivity effects of industrial robots. More than 1800 estimates from 85 primary studies are collected. The meta‐analytic evidence suggests that robotization has so far provided, at best, a small boost to productivity. There is strong evidence of publication bias in the positive direction.
Florian Schneider
wiley   +1 more source

Artificial intelligence driven approach for securing backup data and enhancing cyber resilience in sustainable smart infrastructure. [PDF]

Sci Rep
Kumar B, Gupta SK, Dwivedi R, Alsekai DM, AbdElminaam DS, Kilickaya O.   +5 more
europepmc   +1 more source

Markov Determinantal Point Process for Dynamic Random Sets

Journal of Time Series Analysis, Volume 47, Issue 4, Page 784-802, July 2026.
ABSTRACT The Law of Determinantal Point Process (LDPP) is a flexible parametric family of distributions over random sets defined on a finite state space, or equivalently over multivariate binary variables. The aim of this paper is to introduce Markov processes of random sets within the LDPP framework. We show that, when the pairwise distribution of two
Christian Gouriéroux, Yang Lu
wiley   +1 more source

AI-driven adaptive adversaries and the erosion of cryptographic trust in public key systems. [PDF]

J Anal Sci Technol
Radanliev P.
europepmc   +1 more source

Association of Adverse Childhood Experiences and Metabolic Syndrome: A Systematic Review and Meta‐Analysis

Obesity Reviews, Volume 27, Issue 7, July 2026.
ABSTRACT Background The association between adverse childhood experiences (ACEs) and metabolic syndrome (MetS) across life course and its components (abdominal obesity, elevated blood pressure, dyslipidemia, and hyperglycemia) is poorly understood. Methods Three databases were screened for studies published January 2000–February 2024 that examined the ...
Joohan Kim, Luyu Xie, Alejandra Fernandez, Jaime P. Almandoz, Sarah E. Messiah   +4 more
wiley   +1 more source

Digital twin-assisted blockchain IoT security model using contrastive and causal learning techniques. [PDF]

Sci Rep
Dutta AK, Anjum M, Min H, Daradkeh YI, Seo JT, Shahab S.   +5 more
europepmc   +1 more source

Governing Cybersecurity in the Digital Age: Mapping Comprehensive Policy Mixes With the Nodality‐Authority‐Treasure‐Organization Lens

Review of Policy Research, Volume 43, Issue 4, July 2026.
ABSTRACT The accelerated digitalisation of society has amplified cybersecurity threats and revealed their cross‐sectoral nature. Yet, the policy instruments used to address these challenges remain insufficiently examined. This study conducts a scoping review of 980 academic articles (2007–2024) and applies Hood's NATO framework (Nodality, Authority ...
Benedetta Cotta, Maria Stella Righettini
wiley   +1 more source

Cyber attack and fault detection in DC microgrids by designing an event-triggered based-robust algorithm. [PDF]

Sci Rep
Hosseini Rostami SM, Pourgholi M, Asharioun H.   +2 more
europepmc   +1 more source

Transparent and trustworthy CyberSecurity: an XAI-integrated big data framework for phishing attack detection. [PDF]

Front Big Data
Nauman M, Usman Akhtar HM, Gorbani H, Hadi Ul Hassan M, Fayyaz MAB.   +4 more
europepmc   +1 more source

SentinelSphere: An AI-driven cybersecurity platform integrating real-time threat detection with security awareness education. [PDF]

Open Res Eur
Tantaroudas ND, Karachalios I, McCracken AJ.   +2 more
europepmc   +1 more source