Results 141 to 150 of about 1,567,590 (345)

Reclaiming human dignity: a critical review of contemporary theories in light of ontological foundations. [PDF]

Med Health Care Philos
Frantz P, Rego F, Barbas S.
europepmc   +1 more source

Large Language Model‐Based Chatbots in Higher Education

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci, Merve Eryilmaz, Ail K. Yetisen, Savas Tasoglu, Aydogan Ozcan   +4 more
wiley   +1 more source

<i>The Constitutive Demands of Corrective Justice</i>. [PDF]

Oxf J Leg Stud
Langille J.
europepmc   +1 more source

The Official Story of the Law. [PDF]

Oxf J Leg Stud, 2023
Baude W, Sachs SE.
europepmc   +1 more source

Legal Positivism and Evolutionary Psychology: Can Legal Positivists Learn Something from Darwin?

, 2010
Arthur Dyèvre
openalex   +1 more source

Indonesian Religious Court Decisions on Child Custody Cases: Between Positivism and Progressive Legal Thought

, 2022
Suci Ramadhan, JM Muslimin
openalex   +2 more sources

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source

Carefully Tailored: Doctrinal Methods and Empirical Contributions. [PDF]

Oxf J Leg Stud
Theil S.
europepmc   +1 more source

Contingent Electric Skin Shock: An Empirical or Ideological Issue? [PDF]

Perspect Behav Sci, 2023
Blenkush N, O'Neill DA, O'Neill J.
europepmc   +1 more source

Predicting Materials Thermodynamics Enabled by Large Language Model‐Driven Dataset Building and Machine Learning

Advanced Intelligent Systems, EarlyView.
Illustration of text data mining of rare earth mineral thermodynamic parameters with the large language model‐powered LMExt. A dataset is built with mined thermodynamic properties. Subsequently, a machine learning model is trained to predict formation enthalpy from the dataset.
Juejing Liu, Haydn Anderson, Noah I. Waxman, Vsevolod Kovalev, Byron Fisher, Elizabeth Li, Xiaofeng Guo   +6 more
wiley   +1 more source