Results 41 to 50 of about 3,385,810 (267)

Neuropsychological and Educational Outcomes in Shwachman–Diamond Syndrome—A Report From the North American Shwachman–Diamond Syndrome Registry

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Shwachman–Diamond syndrome (SDS) is a rare autosomal recessive ribosomopathy characterized by bone marrow failure and multisystem involvement, with emerging evidence of associated neurocognitive impairment. Methods We conducted a retrospective study of 240 individuals with biallelic Shwachman–Bodian–Diamond syndrome (SBDS) mutations
Jane Koo, Melissa Gerstle, Leah Cheng, Richard Cooper, Katherine Coyne, Claire Dusa, Naomi E. Joffe, Diana Schwarz, Sarah Steltz, Akiko Shimamura, Kasiani C. Myers, Thea Quinton   +11 more
wiley   +1 more source

PROBABILISTIC COST ANALYSIS OF LOGIC PROGRAMS ANÁLISIS DE COSTO PROBABILÍSTICO DE PROGRAMAS LÓGICOS

Ingeniare: Revista Chilena de Ingeniería, 2009
Cost analyses of logic programs have been developed which make it possible to obtain automatically lower and upper bounds of runtime cost of computations.
Héctor Juan Soza Pollman
doaj  

A Situational Assessment of the Diagnostic Landscape and Organizational Readiness to Implement Next‐Generation Sequencing at Two Childhood Cancer Treatment Centers in Ghana

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Purpose Next‐generation sequencing (NGS) has emerged as a promising approach to improve diagnostic accuracy, but its feasibility in low‐ and middle‐income countries remains unknown. This study characterized the diagnostic landscape and assessed organizational readiness for NGS implementation at two childhood cancer treatment centers in Accra ...
Melissa Carvalho, Emmanuella Amoako, Nihad Salifu, Lily Gloria Tagoe, Yaw Bediako, Michelle Hermiston, Catherine Segbefia   +6 more
wiley   +1 more source

On the Code Vulnerability Detection Based on Deep Learning: A Comparative Study

IEEE Access
Deep learning is one of the important methods to detect and fix vulnerabilities in software programs. How to represent code information and how to use artificial intelligence methods to learn and understand code semantics and other information are ...
Guiping Li, Yege Yang
doaj   +1 more source

Newtonian Program Analysis of Probabilistic Programs

Proceedings of the ACM on Programming Languages
Due to their quantitative nature, probabilistic programs pose non-trivial challenges for designing compositional and efficient program analyses. Many analyses for probabilistic programs rely on iterative approximation. This article presents an interprocedural dataflow-analysis framework, called NPA-PMA, for designing and implementing (partially) non ...
Di Wang, Thomas Reps
openaire   +4 more sources

Beyond the Document: A Single‐Center Qualitative Study of Survivorship Care Plan Barriers and Opportunities Across Pediatric Oncology Stakeholders

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Survivorship care plans (SCPs) summarize cancer treatment and guide risk‐based follow‐up for cancer survivors, yet remain difficult to create, share, and use. Stakeholder perspectives are needed to inform usable approaches.
Molly S. Talman, Emma Fleisher, Megan E. Salwei, Debra Friedman, Laurie Novak   +4 more
wiley   +1 more source

Refactoring for Java-Structured Concurrency

Applied Sciences
Structured concurrency treats multiple tasks running in different threads as a single unit, thereby improving reliability and enhancing observability. The existing IDE (Integrated Development Environment) does not provide sufficient support to leverage ...
Yang Zhang, Gaojie Shen, Liyan Zhang, Meiyan Zheng, Kun Zheng   +4 more
doaj   +1 more source

Lexical Similarity Between Argument and Parameter Names: An Empirical Study

IEEE Access, 2018
Identifiers chosen by programmers convey rich semantic information that could be exploited to enhance program analysis for various software engineering tasks, e.g., anomaly detection, argument recommendation, and code completion.
Guangjie Li, Hui Liu, Qiurong Liu, Yuting Wu   +3 more
doaj   +1 more source

Early Body Mass Index z‐Score Change and Resolution of Severe Malnutrition in Children With Sickle Cell Anemia in a Low‐Income Setting: A Prospective Single‐Arm Extension Study

Pediatric Blood &Cancer, EarlyView.
ABSTRACT Background Children with sickle cell anemia (SCA) in low‐income settings are at risk of severe malnutrition, but optimal nutritional management has not been established. We evaluated an intensified ready‐to‐use therapeutic food (RUTF) regimen in children with persistent severe malnutrition after initial treatment and assessed whether early ...
Safiya Gambo, Shehu Umar Abdullahi, Hassan Adam Murtala, Halima Kabir, Khadija A. Shamsu, Sari A. Acra, Virginia A. Stallings, Mark Rodeghier, Michael R. DeBaun, Lauren J. Klein   +9 more
wiley   +1 more source

DeepCNN: A Dual Approach to Fault Localization and Repair in Convolutional Neural Networks

IEEE Access
Deep learning models, particularly Convolutional Neural Networks (CNNs), play a pivotal role in intelligent software. However, like any software application, CNN-based applications are susceptible to bugs.
Mohammad Wardat, Abdullah Al-Alaj
doaj   +1 more source