Results 51 to 60 of about 5,532,221 (266)
Overcoming the data limitations in landslide susceptibility modeling
Data-driven models widely used for assessing landslide susceptibility are severely limited by the landslide and environmental data needed to create them. They rely on inventories of past landslide locations, which are difficult to collect and often nonrepresentative.
Jacob B. Woodard, Benjamin B. Mirus
openaire +2 more sources
ABSTRACT Pediatric radiation therapy presents unique challenges compared to adult treatments, including those of immobilization, potential need for sedation, and the critical importance of accurate, reproducible positioning. Additionally, heightened attention to imaging doses is necessary to minimize long‐term toxicity in survivors.
Parham Alaei +17 more
wiley +1 more source
Accurate catch data are essential for effective fisheries management. This study reconstructs the historical recreational catch of hairtail (Trichiurus lepturus) in Korean waters by incorporating unreported catches to improve stock assessment accuracy ...
Sang Chul Yoon +3 more
doaj +1 more source
Learning from Synthetic Data: Limitations of ERM
The prevalence and low cost of LLMs have led to a rise of synthetic content. From review sites to court documents, "natural" content has been contaminated by data points that appear similar to natural data, but are in fact LLM-generated. In this work we revisit fundamental learning theory questions in this, now ubiquitous, setting.
Kareem Amin 0002 +4 more
openaire +2 more sources
ABSTRACT In 2018, the Texas Children's Cancer and Hematology Center Leukemia Program implemented a practice standard to support the transition from treatment to survivorship that includes shared, alternating care between leukemia and survivorship clinicians and a reminder to refer survivors to the long‐term survivor clinic (LTSC) 2 years after ...
Ji Yun Tark +9 more
wiley +1 more source
Personalized Zebrafish Models for Fusion‐Positive Pediatric Sarcomas
ABSTRACT Clinical sequencing efforts have revolutionized our approaches to categorizing pediatric cancers in real time. This has dramatically improved our ability to profile pediatric tumors, identify actionable vulnerabilities, and influence clinical care.
Lisa H. Hall +2 more
wiley +1 more source
Human‐Interpretable SEP Event Prediction Using White‐Box Explainable AI
Solar energetic particle (SEP) events pose radiation risks to astronauts and space systems, making their prediction essential. Although various prediction models have been developed, most machine learning (ML)‐based models lack interpretability; that is,
Naho Fujita +4 more
doaj +1 more source
Fishery Management Enforcement Gradients to Achieve Fishery Goals
Marine protected areas (MPAs) can allow some fish populations to rebuild within their borders in areas impacted by overfishing, but the effectiveness of reserves is highly dependent on how effectively fishing mortality is controlled, which in turn ...
Kendra A. Karr +3 more
doaj +1 more source
An [Imperfect] Case for Dyadic Research in Pediatric Psychosocial Oncology
Pediatric Blood &Cancer, EarlyView.
Stephanie M. Nanos +2 more
wiley +1 more source
The Role of “Adult‐Onset” Cancer Predisposition Genes in Pediatric Cancer: A Comprehensive Review
ABSTRACT Current literature estimates that 10% of pediatric cancers are caused by pathogenic or likely pathogenic (P/LP) germline variants in cancer predisposition genes (CPGs). Variants in CPGs thought to increase cancer risk exclusively during adulthood are referred to as “adult‐onset” CPGs (aoCPGs).
Maria Rozo +5 more
wiley +1 more source

