Results 21 to 30 of about 70,221 (264)
A United States Fair Lending Perspective on Machine Learning
The use of machine learning (ML) has become more widespread in many areas of consumer financial services, including credit underwriting and pricing of loans.
Patrick Hall +7 more
doaj +1 more source
ABSTRACT Background Acute lymphoblastic leukemia (ALL) is the most common pediatric cancer, with an overall survival now surpassing 90% in developed countries. However, treatments are not without adverse effects. In this study, we apply the severe toxicity‐free survival (STFS) framework to determine the prevalence of 21 physician‐defined severe ...
Lane Collier +10 more
wiley +1 more source
Intratumour heterogeneity complicates precision management of advanced endometrial cancer. Circulating tumor DNA (ctDNA) offers a minimally invasive strategy to capture tumor evolution and therapeutic resistance. Here, we compare tumor‐agnostic NGS with tumor‐informed ddPCR, outlining their relative sensitivity, concordance, and clinical implications ...
Carlos Casas‐Arozamena +15 more
wiley +1 more source
Faire, faire faire, ne pas faire
Ce livre examine les modes d'exécution de l'art contemporain depuis le point de vue de la production, au moyen d'une série de dix-huit entretiens. II déroule une réflexion plurielle et polyphonique, en réunissant les propos de divers acteurs et actrices de la réalisation des œuvres et de plusieurs générations d'artistes.En a-t-on vraiment fini avec la ...
Ileana, Parvu +3 more
openaire +1 more source
Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
wiley +1 more source
Challenges and Tasks in Advancing Educational Fairness Research in Korea
This study seeks to reframe educational fairness in Korea through a multidimensional approach that clarifies distinctions between equality, equity, and fairness. It emphasizes the uneven application of distributive, procedural, and interactional fairness
Kyu Tae Kim
doaj +1 more source
HAPS-UAV-Enabled Heterogeneous Networks: A Deep Reinforcement Learning Approach
The integrated use of non-terrestrial network (NTN) entities such as the high-altitude platform station (HAPS) and low-altitude platform station (LAPS) has become essential elements in the space-air-ground integrated networks (SAGINs).
Atefeh Hajijamali Arani +2 more
doaj +1 more source
Sex Representation in US Stroke Clinical Trials: A Decade of Trends and Challenges
ABSTRACT Objective Stroke remains a major cause of disability and mortality in the US, with significant sex‐based disparities, and females remain underrepresented in stroke clinical trials. We aimed to examine sex representation in US‐based stroke clinical trials, identify trial characteristics associated with higher female enrollment (≥ 50%), and ...
Chaitali Dagli +5 more
wiley +1 more source
Fairness considerations with algorithms for elastic traffic routing
The bit rate of modern applications typically varies in time. We consider the traffic elastic if the rate of the sources can be controlled as a function of free resources along the route of that traffic.
Tibor Cinkler +2 more
doaj +1 more source
Fractional Frequency Reuse Optimal SINR Threshold Selection Using NIR and ISODATA
A vital part of cellular network evolution has been long-term evolution networks. In these networks, it is important to mitigate inter-cell interference. Fractional frequency re-use has been proposed to address this.
Peter Kihato +2 more
doaj +1 more source

