Digital twins to accelerate target identification and drug development for immune‐mediated disorders
Digital twins integrate patient‐derived molecular and clinical data into personalised computational models that simulate disease mechanisms. They enable rapid identification and validation of therapeutic targets, prediction of drug responses, and prioritisation of candidate interventions.
Anna Niarakis, Philippe Moingeon
wiley +1 more source
Online Deception Detection Refueled by Real World Data Collection
The lack of large realistic datasets presents a bottleneck in online deception detection studies. In this paper, we apply a data collection method based on social network analysis to quickly identify high-quality deceptive and truthful online reviews ...
Caverlee, James +3 more
core +1 more source
Dark Patterns and the Emerging Threats of Deceptive Design Practices
Growth hacking, particularly within the spectre of surveillance capitalism, has led to the widespread use of deceptive, manipulative, and coercive design techniques in the last decade. These challenges exist at the intersection of many different technology professions that are rapidly evolving and "shapeshifting"their design practices to confront ...
Colin M. Gray +6 more
openaire +1 more source
Bioscience students were asked for their opinions on the value and teaching of skills. 204 responded that teamwork, time management and study skills are necessary to reach University, that scientific writing, research, laboratory and presentation skills are taught effectively during their studies, while other skills are gained inherently through study ...
Janella Borrell, Susan Crennell
wiley +1 more source
Telling the difference between deceiving and truth telling: An experiment in a public space [PDF]
The behavioral experiment presented in this paper investigated deception tasks (both concealment and lying) undertaken in a public space. The degree of risk of deception detection and the demands of self-regulation when deceiving were manipulated.
Eubanks, Dawn L. +11 more
core +1 more source
Life‐Threatening Bradycardia in Anti‐NMDA‐Receptor Encephalitis and a Novel Use for Permanent Pacing
ABSTRACT Background Pediatric anti‐NMDA receptor encephalitis (pNMDARE) is an autoantibody‐mediated disorder that can cause severe autonomic dysfunction, including symptomatic bradycardia and asystole. Dysautonomia can last for years, making it very challenging to manage.
Sarah Tucker +9 more
wiley +1 more source
Dark Surfer-A Dark Pattern Analyzer & Classifier [PDF]
Dark Surfer is a project which is aimed to detect and combat dark patterns on websites using advanced language model [LLM]. The problem with dark patterns lies in their potential to undermine user trust, autonomy, and well-being.
Babu K. Srinivas +3 more
doaj +1 more source
Experimental study on population-based incremental learning algorithms for dynamic optimization problems [PDF]
Copyright @ Springer-Verlag 2005.Evolutionary algorithms have been widely used for stationary optimization problems. However, the environments of real world problems are often dynamic. This seriously challenges traditional evolutionary algorithms.
Yang, S, Yao, X
core +2 more sources
TBK1‐Associated Primary Lateral Sclerosis Followed by Right Temporal Variant Frontotemporal Dementia
ABSTRACT We report a 58‐year‐old woman with a novel splice‐site variant in the TANK‐binding kinase 1 (TBK1:c.993–2A>C p.Ala332TyrfsTer39) who sequentially developed primary lateral sclerosis (PLS) followed by right temporal variant frontotemporal dementia (rtvFTD). Neuroimaging demonstrated right anterior temporal atrophy before cognitive symptoms, and
Tomoyasu Matsubara +18 more
wiley +1 more source
La manipolazione occulta: come i dark patterns influenzano le decisioni dei consumatori [PDF]
Increasing competition in sales has led retailers to adopt different strategies to engage users and guide them through the digital purchasing process. Some retailers use ‘digital nudges’ that aim to guide the user through the buying process.
Fabrizio Corona
doaj

