Results 121 to 130 of about 2,538 (197)
Adiabatic computing for optimal thermodynamic efficiency of information processing. [PDF]
Proc Natl Acad Sci U S A, 2023 Dago S, Ciliberto S, Bellon L.
europepmc +1 more source
Journal of Computer Assisted Learning, Volume 42, Issue 2, April 2026.ABSTRACT Background Summarising has been shown to be an effective learning strategy as it enhances cognitive skills, communication abilities and information processing. Effective summarising skills are therefore an important academic asset for university students.
Veronika Barkela, Miriam Leuchter
wiley +1 more source
Full-magnetic implementation of a classical Toffoli gate
Physical Review ResearchThe Toffoli gate is the essential ingredient for reversible computing, an energy-efficient classical computational paradigm that evades the energy dissipation resulting from Landauer's principle.
Davide Nuzzi +6 more
doaj +1 more source
Networks, Volume 87, Issue 2, Page 111-130, March 2026.ABSTRACT This work considers branch‐price‐and‐cut algorithms for variants of the vehicle‐routing problem in which subset‐row inequalities (SRIs) are used to strengthen the linear relaxation. SRIs often help to substantially reduce the size of the branch‐and‐bound search tree.
Stefan Faldum +2 more
wiley +1 more source
Attitudes to possessions in emerging adults: Predictors of hoarding behaviours and beliefs
British Journal of Clinical Psychology, Volume 65, Issue 1, Page 33-53, March 2026.Abstract Objective Although hoarding symptoms are chronic and the average onset is late adolescence, younger cohorts have received little attention in research. Given the insidious symptom trajectory of hoarding and the unsatisfactory treatment outcomes in clinical groups, comprehensive research focusing on younger participants may reveal insights and ...
Enes Kartal +2 more
wiley +1 more source
Journal of Educational Measurement, Volume 63, Issue 1, Spring 2026.Abstract Pretrained large language models (LLMs) have gained popularity in recent years due to their high performance in various educational tasks such as learner modeling, automated scoring, automatic item generation, and prediction. Nevertheless, LLMs are black box approaches where models are less interpretable, and they may carry human biases and ...
Guher Gorgun +1 more
wiley +1 more source
Experimental test of Landauer's principle in single-bit operations on nanomagnetic memory bits. [PDF]
Sci Adv, 2016 Hong J, Lambson B, Dhuey S, Bokor J.
europepmc +1 more source
Hidden Dissipation and Irreversibility in Maxwell's Demon. [PDF]
Entropy (Basel), 2022 Fontana PW.
europepmc +1 more source
AI and Measurement Concerns: Dealing with Imbalanced Data in Autoscoring
Journal of Educational Measurement, Volume 63, Issue 1, Spring 2026.Abstract Unbiasedness for proficiency estimates is important for autoscoring engines since the outcome might be used for future learning or placement. Imbalanced training data may lead to certain biases and lower the prediction accuracy for classification algorithms.
Yunting Liu +3 more
wiley +1 more source
Cointegrating Polynomial Regressions With Power Law Trends
Journal of Time Series Analysis, Volume 47, Issue 2, Page 331-344, March 2026.ABSTRACT The common practice in cointegrating polynomial regressions (CPRs) often confines nonlinearities in the variable of interest to stochastic trends, thereby overlooking the possibility that they may be caused by deterministic components. As an extension, we propose univariate and multivariate CPRs that incorporate power law deterministic trends.
Yicong Lin, Hanno Reuvers
wiley +1 more source