Results 31 to 40 of about 174,416 (267)

MultiPL-E: A Scalable and Polyglot Approach to Benchmarking Neural Code Generation

open access: yesIEEE Transactions on Software Engineering, 2023
Large language models have demonstrated the ability to generate both natural language and programming language text. Although contemporary code generation models are trained on corpora with several programming languages, they are tested using benchmarks ...
Federico Cassano   +12 more
semanticscholar   +1 more source

Sizing Assessment of Islanded Microgrids Considering Total Investment Cost and Tax Benefits in Colombia

open access: yesEnergies, 2022
This paper deals with the optimal sizing of islanded microgrids (MGs), which use diesel generators to supply energy in off-grid areas. The MG under study integrates photovoltaic (PV) and diesel generation, a battery energy storage System (BESS), and an ...
Wilmer Ropero-Castaño   +4 more
doaj   +1 more source

MPIrigen: MPI Code Generation through Domain-Specific Language Models [PDF]

open access: yesProceedings of the 2024 Workshop on AI For Systems
The imperative need to scale computation across numerous nodes highlights the significance of efficient parallel computing, particularly in the realm of Message Passing Interface (MPI) integration.
Nadav Schneider   +12 more
semanticscholar   +1 more source

Towards a Trustworthy Semantics-Based Language Framework via Proof Generation

open access: yesInternational Conference on Computer Aided Verification, 2021
We pursue the vision of an ideal language framework, where programming language designers only need to define the formal syntax and semantics of their languages, and all language tools are automatically generated by the framework.
Xiaohong Chen   +3 more
semanticscholar   +1 more source

A SVM-based implicit stochastic joint scheduling method for ‘wind-photovoltaic-cascaded hydropower stations’ systems

open access: yesEnergy Reports, 2022
With the gradual expansion of the development scale of wind power and photovoltaic (PV) power plants, the multi-energy complementary power generation system, typically represented by hydro-PV/hydro-wind/hydro-wind-PV, has become an important part of ...
Jidong Li   +5 more
doaj   +1 more source

The MedSupport Multilevel Intervention to Enhance Support for Pediatric Medication Adherence: Development and Feasibility Testing

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Introduction We developed MedSupport, a multilevel medication adherence intervention designed to address root barriers to medication adherence. This study sought to explore the feasibility and acceptability of the MedSupport intervention strategies to support a future full‐scale randomized controlled trial.
Elizabeth G. Bouchard   +8 more
wiley   +1 more source

Automatic Evaluation of Programming Tasks Supported by Language Models

open access: yesIEEE Access
Large language models are also increasingly used in education, both by students and teachers. Newly introduced LLM-based tools, such as Codex, Code Llama, and Microsoft’s Copilot, show that LLMs are effective in code generation.
Zoltan Istvan Karsa, Balazs Goldschmidt
doaj   +1 more source

Changes in Body Composition in Children and Young People Undergoing Treatment for Acute Lymphoblastic Leukemia: A Systematic Review and Meta‐Analysis

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Ongoing evidence indicates increased risk of sarcopenic obesity among children and young people (CYP) with acute lymphoblastic leukemia (ALL), often beginning early in treatment, persisting into survivorship. This review evaluates current literature on body composition in CYP with ALL during and after treatment.
Lina A. Zahed   +5 more
wiley   +1 more source

¡Bienvenidos!: Committing to Diversity and Inclusion with College Orientations in Spanish for Parents and Family

open access: yesJournal of College Orientation, Transition, and Retention
Incorporating families in the high school to college transition is important to increase the success rate of first-generation and low-income college students. Traditional institutional programming and student orientation processes often fail to consider
Nancy Garcia   +2 more
doaj   +1 more source

Predicting Chronicity in Children and Adolescents With Newly Diagnosed Immune Thrombocytopenia at the Timepoint of Diagnosis Using Machine Learning‐Based Approaches

open access: yesPediatric Blood &Cancer, EarlyView.
ABSTRACT Objectives To identify predictors of chronic ITP (cITP) and to develop a model based on several machine learning (ML) methods to estimate the individual risk of chronicity at the timepoint of diagnosis. Methods We analyzed a longitudinal cohort of 944 children enrolled in the Intercontinental Cooperative immune thrombocytopenia (ITP) Study ...
Severin Kasser   +6 more
wiley   +1 more source

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