Results 41 to 50 of about 12,377,055 (66)

CasADi: a software framework for nonlinear optimization and optimal control

open access: yesMathematical Programming Computation, 2018
Joel A. E. Andersson   +4 more
semanticscholar   +1 more source

En deskriptiv studie av Medisinstart-tjenesten med fokus på praktisk gjennomføring, avdekking og håndtering av legemiddelrelaterte problemer

open access: yes
Sammendrag Bakgrunn og hensikt: En stor andel pasienter opplever legemiddelrelaterte problemer (LRP- er) ved oppstart med nye legemidler. For å redusere LRP-er og fremme riktig bruk av legemidler tilbyr flere land farmasøytisk oppstartsveiledning i apotek. Medisinstart er en norsk apotektjeneste der pasienter som nylig har hentet et nytt legemiddel til
openaire   +1 more source

Demystifying computational thinking

open access: yes, 2017
V. Shute, Chen Sun, J. Asbell-Clarke
semanticscholar   +1 more source
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Chain of Thought Prompting Elicits Reasoning in Large Language Models

Neural Information Processing Systems, 2022
We explore how generating a chain of thought -- a series of intermediate reasoning steps -- significantly improves the ability of large language models to perform complex reasoning.
Jason Wei   +7 more
semanticscholar   +1 more source

Stress: Appraisal and Coping

Encyclopedia of Behavioral Medicine, 2020
Here is a monumental work that continues in the tradition pioneered by co-author Richard Lazarus in his classic book Psychological Stress and the Coping Process. Dr. Lazarus and his collaborator, Dr.
R. Lazarus, S. Folkman
semanticscholar   +1 more source

The Problem of Abortion and the Doctrine of the Double Effect

The Doctrine of Double Effect, 2020
One of the reasons why most of us feel puzzled about the problem of abortion is that we want, and do not want, to allow to the unborn child the rights that belong to adults and children.
P. Foot
semanticscholar   +1 more source

Physics-Informed Neural Networks for Heat Transfer Problems

Journal of heat transfer, 2021
Physics-informed neural networks (PINNs) have gained popularity across different engineering fields due to their effectiveness in solving realistic problems with noisy data and often partially missing physics.
Shengze Cai   +4 more
semanticscholar   +1 more source

Reluplex: An Efficient SMT Solver for Verifying Deep Neural Networks

International Conference on Computer Aided Verification, 2017
Deep neural networks have emerged as a widely used and effective means for tackling complex, real-world problems. However, a major obstacle in applying them to safety-critical systems is the great difficulty in providing formal guarantees about their ...
Guy Katz   +4 more
semanticscholar   +1 more source

What Is Problem-Based Learning?

Distance Learning, 2017
From a theoretical perspective, PBL contends that knowledge is best remembered in the context in which it is learned and that acquisition and integration of new knowledge requires activation of prior knowledge (Schmidt, 1983).
Lorna Uden, Chris Beaumont
semanticscholar   +1 more source

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