Results 81 to 90 of about 4,988,933 (261)
An Architectural Evolution Dataset [PDF]
A good evolution process and a good architecture can greatly support the maintainability of long-lived, large software systems. We present ArEvol, a dataset for the empirical study of architectural evolution. The dataset comprises two popular systems from the same domain and using the same component model, to make comparative studies possible.
Wermelinger, Michel, Yu, Yijun
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Impact of Metastatic Patterns on Survival and Response to Therapy in Neuroblastoma
ABSTRACT Background While the presence of metastases in neuroblastoma (NB) is a well‐established prognostic factor, the clinical significance of dissemination patterns and tumour burden and their impact on response and survival remains poorly understood.
Mariona Morell‐Daniel +15 more
wiley +1 more source
ABSTRACT The International Paediatric Oncology Society Global Mapping Programme aims to collect data on global paediatric oncology services by continent, with Africa and Latin America completed. This study reports on the methodology and lessons learned for Oceania, a unique continent with resource disparity across countries, multiple small island ...
Trisha Soosay Raj +16 more
wiley +1 more source
TURSpider: A Turkish Text-to-SQL Dataset and LLM-Based Study
This paper introduces TURSpider, a novel Turkish Text-to-SQL dataset developed through human translation of the widely used Spider dataset, aimed at addressing the current lack of complex, cross-domain SQL datasets for the Turkish language.
Ali Bugra Kanburoglu, Faik Boray Tek
doaj +1 more source
ABSTRACT Background Animal‐assisted activities (AAAs) with therapy dogs have shown positive effects on patient well‐being and quality of life in various areas of medicine, including pediatric oncology. However, research on this topic is limited. The aim of this study is to present the current status of AAA in pediatric oncology in Germany, Austria, and
Jan‐Marius Wedig +7 more
wiley +1 more source
This paper describes the HASYv2 dataset. HASY is a publicly available, free of charge dataset of single symbols similar to MNIST. It contains 168233 instances of 369 classes. HASY contains two challenges: A classification challenge with 10 pre-defined folds for 10-fold cross-validation and a verification challenge.
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ABSTRACT Pediatric supportive care clinical trials often involve multiple clinically important outcomes, complicating trial interpretation. Hierarchical composite endpoints (HCEs) provide a framework to integrate key outcomes according to clinical importance.
Willem H. Collier +11 more
wiley +1 more source
KMSAV: Korean multi-speaker spontaneous audiovisual dataset
Recent advances in deep learning for speech and visual recognition have accelerated the development of multimodal speech recognition, yielding many innovative results. We introduce a Korean audiovisual speech recognition corpus.
Kiyoung Park, Changhan Oh, Sunghee Dong
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Autonomous rehabilitation support solutions, such as virtual coaches, should provide real-time feedback to improve motor function and maintain patient engagement.
Ana Rita Coias +6 more
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Time series classification (TSC) is an important and challenging problem in data mining. Time series data sets are an important basis for this research and are widely used in baseline verification of various algorithm models.
Qing Liu +3 more
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