Results 221 to 230 of about 23,964 (299)

Interpreting algorithmic information cues: User sensemaking of search autocomplete moderation

open access: yesJournal of the Association for Information Science and Technology, EarlyView.
Abstract Autocomplete is a search feature that algorithmically generates information cues for any keywords entered in the search bar. While this feature makes the search process more efficient, it also frequently produces biased, misleading, offensive, or otherwise inappropriate suggestions.
Shagun Jhaver
wiley   +1 more source

Majority of scholarly journals from India in WoS and SCOPUS are closed access and promoted by foreign publishers: A 2026 concern on technological embargo. [PDF]

open access: yesBioinformation
Bisht YS   +9 more
europepmc   +1 more source

Beyond right or wrong: How partial credit scoring on multiple‐choice questions improves student performance and assessment perceptions

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims In this study, we examined the effects of assigning partial credit to selected answer choices on student performance and perceptions in a pharmacology course using Type A multiple‐choice questions (MCQs). Methods Partial credit scoring was incorporated into quizzes and exams in a 10‐week pharmacology course for postbaccalaureate premedical ...
Stephen D. Schneid   +2 more
wiley   +1 more source

GlobalBuildingMap - Unveiling the mystery of global buildings. [PDF]

open access: yesSci Data
Zhu XX   +6 more
europepmc   +1 more source

Status of oncology drugs with a conditional approval: A cross‐sectional comparison of the Food and Drug Administration and Health Canada

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims This study looks at the status of the same drugs conditionally approved by the Food and Drug Administration and Health Canada for the same oncology indication. Methods Lists of oncology drugs with a conditional approval from the Food and Drug Administration and Health Canada were generated and drug pairs with the same indication were matched ...
Joel Lexchin
wiley   +1 more source

Evaluating and leveraging large language models in clinical pharmacology and therapeutics assessment: From exam takers to exam shapers

open access: yesBritish Journal of Clinical Pharmacology, EarlyView.
Aims In medical education, the ability of large language models (LLMs) to match human performance raises questions about their potential as educational tools. This study evaluates LLMs' performance on Clinical Pharmacology and Therapeutics (CPT) exams, comparing their results to medical students and exploring their ability to identify poorly formulated
Alexandre O. Gérard   +11 more
wiley   +1 more source

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