Results 61 to 70 of about 3,206,915 (290)

Behind the Screen: Investigating ChatGPT’s Dark Personality Traits and Conspiracy Beliefs

Human Behavior and Emerging Technologies
ChatGPT is notorious for its untransparent behavior. This paper tries to shed light on this, providing an in-depth analysis of the dark personality traits and conspiracy beliefs of GPT-3.5 and GPT-4.
Jérôme Rutinowski, Erik Weber, Markus Pauly   +2 more
doaj   +1 more source

Dynamic service migration in ultra-dense multi-access edge computing network for high-mobility scenarios

EURASIP Journal on Wireless Communications and Networking, 2020
The multi-access edge computing (MEC) has higher computing power and lower latency than user equipment and remote cloud computing, enabling the continuing emergence of new types of services and mobile application.
Haowei Lin, Xiaolong Xu, Juan Zhao, Xinheng Wang   +3 more
doaj   +1 more source

Secure Visualization of GIS Data [PDF]

2006 IEEE Information Assurance Workshop, 2006
Modern GIS systems increasingly rely on server-side rendering and Web services for the rendering of geographical and application-specific data for both efficiency and security reasons since the underlying data sets for critical infrastructures and emergency operations are typically extremely sensitive.
openaire   +1 more source

Age‐Related Characteristics of SYT1‐Associated Neurodevelopmental Disorder

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives We describe the clinical manifestations and developmental abilities of individuals with SYT1‐associated neurodevelopmental disorder (Baker‐Gordon syndrome) from infancy to adulthood. We further describe the neuroradiological and electrophysiological characteristics of the condition at different ages, and explore the associations ...
Sam G. Norwitz, Josefine Eck, Joel S. Winston, Kate Baker   +3 more
wiley   +1 more source

Group recommendation based on hybrid trust metric

Automatika, 2020
Group recommendation is a special service type which has the ability to satisfy a group’s common interest and find the preferred items for group users. Deep mining of trust relationship between group members can contribute to the improvement of accuracy ...
Haiyan Wang, Dongdong Chen, Jiawei Zhang
doaj   +1 more source

Implementation of Entropically Secure Encryption: Securing Personal Health Data

Electronics Letters
Entropically Secure Encryption (ESE) offers unconditional security with shorter keys compared to the One-Time Pad. In this paper, we present the first implementation of ESE for bulk encryption. The main computational bottleneck for bulk ESE is a multiplication in a very large finite field. This involves multiplication of polynomials followed by modular
Mehmet Hüseyin Temel, Boris Škorić, Idelfonso Tafur Monroy   +2 more
openaire   +3 more sources

Cognitive Status in People With Epilepsy in the Republic of Guinea: A Prospective, Case–Control Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective People with epilepsy (PWE) may experience cognitive deficits but fail to undergo formal evaluation. This study compares cognitive status between PWE and healthy controls in the West African Republic of Guinea. Methods A cross‐sectional, case–control study was conducted in sequential recruitment phases (July 2024–July 2025) at Ignace ...
Maya L. Mastick, Cheick O. Soumah, Malé Doré, Oumar Mara, Desiré Neldje, Fodé A. Cissé, Toure M. Lamine, Aminata Diallo, Seungwon Lee, Siddharth Satish, Alexander J. X. Chen, Alice Liu, Nomin Enkhtsetseg, Farrah J. Mateen, The Guinea Epilepsy Project   +14 more
wiley   +1 more source

Analysis of AES, SKINNY, and Others with Constraint Programming

IACR Transactions on Symmetric Cryptology, 2017
Search for different types of distinguishers are common tasks in symmetrickey cryptanalysis. In this work, we employ the constraint programming (CP) technique to tackle such problems.
Siwei Sun, David Gerault, Pascal Lafourcade, Qianqian Yang, Yosuke Todo, Kexin Qiao, Lei Hu   +6 more
doaj   +1 more source

MTPR: A Multi-Task Learning Based POI Recommendation Considering Temporal Check-Ins and Geographical Locations

Applied Sciences, 2020
The rapid development of location-based social networks (LBSNs) produces the increasing number of check-in records and corresponding heterogeneous information which bring big challenges of points-of-interest (POIs) recommendation in our daily lives.
Bin Xia, Yuxuan Bai, Junjie Yin, Qi Li, Lijie Xu   +4 more
doaj   +1 more source

Remote Monitoring in Myasthenia Gravis: Exploring Symptom Variability

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Myasthenia gravis (MG) is a rare, autoimmune disorder characterized by fluctuating muscle weakness and potential life‐threatening crises. While continuous specialized care is essential, access barriers often delay timely interventions. To address this, we developed MyaLink, a telemedical platform for MG patients.
Maike Stein, Maximilian Mönch, Meret Herdick, Frauke Stascheit, Sarah Hoffmann, Hannah Preßler, Philipp Mergenthaler, Carla Dusemund, Paolo Doksani, Haoqi Sun, Pushpa Narayanaswami, Andreas Meisel, Lea Gerischer, Sophie Lehnerer   +13 more
wiley   +1 more source