Results 51 to 60 of about 29,781 (199)
This study examines how generative AI is adopted and experienced across educational levels in Sonora, Mexico, and whether students’ perceived learning aligns with engagement behaviors during AI-assisted homework.
Raquel Torres-Peralta +4 more
doaj +1 more source
Osmotic stressors induce developmental and physiological changes in rice (Oryza sativa) seedlings, which are modulated by cell‐type‐specific gene expression and regulatory networks. We exposed plants to two levels of drought and salinity stress and measured the effects of these stressors on developing leaves by measuring physiological traits, ion ...
Sean M. Robertson +6 more
wiley +1 more source
In today’s fast-paced software development environment, Agile methodologies demand rapid delivery and continuous improvement, making automated testing essential for maintaining quality and accelerating feedback loops.
Suresh Babu Nettur +3 more
doaj +1 more source
This large‐scale study of over one‐million musculoskeletal swabs highlights anatomical variability in microbial contamination of musculoskeletal tissues and identifies high‐risk recovery zones for virulent organisms. ABSTRACT Background Microbial contamination of musculoskeletal tissues recovered from deceased donors poses a risk for donor‐derived ...
Anthony Montedonico +3 more
wiley +1 more source
У статті здійснено загальний аналітичний огляд використання інструментів штучного інтелекту в підготовці майбутніх учителів інформатики та сформовано цілісну модель їх педагогічно обґрунтованого добору.
Данило Оніщенко
doaj +1 more source
Professionals' insights on the use of large language models (LLMs) in software development. This abstract highlights how transformer‐based models enhance productivity, reduce coding time, and assist with tasks such as code generation, debugging, and documentation, while also emphasizing potential challenges including overdependence and ethical ...
Sargam Yadav +13 more
wiley +1 more source
The integration of AI-powered coding assistants into software development presents both opportunities and challenges. These tools promise enhanced productivity and code quality while introducing significant concerns related to workflow integration ...
V. Stray, A. Barbala, V. Wivestad
semanticscholar +1 more source
Generative AI for Data Science 101: Coding Without Learning to Code
Should one teach coding in a required introductory statistics and data science class for non-major students? Many professors advise against it, considering it a distraction from the important and challenging statistical topics that need to be covered. By
Jacob Bien, Gourab Mukherjee
doaj +1 more source
High‐density mutation tracks are associated with proton‐beam irradiation patterns in Sorghum bicolor
Abstract Induced mutagenesis is a cornerstone of crop functional genomics, yet the extent to which distinct radiation sources reshape the spatial distribution of mutations remains difficult to evaluate in reduced‐representation datasets. Here, we analyze a published genotyping‐by‐sequencing (GBS) panel (192,040 loci) to compare proton‐beam and gamma ...
Ezekiel Ahn +6 more
wiley +1 more source
Beyond Snippet Assistance: A Workflow-Centric Framework for End-to-End AI-Driven Code Generation
Recent AI-assisted coding tools, such as GitHub Copilot and Cursor, have enhanced developer productivity through real-time snippet suggestions. However, these tools primarily assist with isolated coding tasks and lack a structured approach to automating ...
Vladimir Sonkin, Cătălin Tudose
doaj +1 more source

