Results 101 to 110 of about 38,951,336 (344)

Relationally reflexive practice : a generative approach to theory development in qualitative research [PDF]

open access: yes, 2014
In this article we explain how the development of new organization theory faces several mutually reinforcing problems, which collectively suppress generative debate and the creation of new and alternative theories.
Sillince, John   +6 more
core   +1 more source

Comparative Evaluation of Hemodiafiltration, Hemoperfusion, and Standard Hemodialysis on Efficacy, Inflammatory Control, Dialysis Adequacy, and Safety in End‐Stage Renal Disease: A Prospective Observational Study

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Chronic micro‐inflammation in patients with end‐stage renal disease (ESRD) is a significant driver of cardiovascular complications and diminished quality of life. While standard hemodialysis (SHD) effectively manages small‐molecule clearance, its ability to remove medium‐to‐large uremic toxins—the primary catalysts of systemic ...
Hongwei Zuo   +5 more
wiley   +1 more source

Get Lucky: Cognitive Aspects of Generative Art

open access: yes, 2015
This paper addresses the creative, cultural and cognitive aspects of symbolic and procedural thinking in contemporary generative art. Generative art is perceived broadly, as a heterogeneous realm of artistic approaches based upon combining the predefined
Dejan Grba, Grba, Dejan
core   +1 more source

Safety of Daprodustat for the Treatment of Chronic Kidney Disease Anemia: Final Analysis of a Multicenter Postmarketing Surveillance Study in Japan

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Introduction This final analysis of a multicenter, prospective postmarketing surveillance study evaluated the safety of daprodustat in patients with chronic kidney disease anemia in routine clinical practice in Japan. Methods Patients who initiated daprodustat between September 2020 and July 2022 were registered.
Tadao Akizawa   +7 more
wiley   +1 more source

A GENERIC MODEL OF COLLECTIVITIES

open access: yesCybernetics and Systems, 2007
A class of social phenomena, exhibiting fluid boundaries and constant change, called 'collectivities,' is modeled using an agent-based simulation, demonstrating how such models can show that a set of plausible microbehaviors can yield the observed macro-phenomenon.
openaire   +5 more sources

Forecasting the Dialysis Burden in Japan: Validation‐Based Projections of Prevalence and Incidence Through 2050

open access: yesTherapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Japan has one of the highest dialysis prevalence rates worldwide and a shrinking, aging population. Whether dialysis burden has entered a sustained post‐peak phase or whether recent declines partly reflect pandemic‐related disruptions remains uncertain.
Hatice Şahin   +2 more
wiley   +1 more source

Elevating Wafer Defect Inspection with Denoising Diffusion Probabilistic Model

open access: yesMathematics
Integrated circuits (ICs) are critical components in the semiconductor industry, and precise wafer defect inspection is essential for maintaining product quality and yield.
Ping-Hung Wu   +8 more
doaj   +1 more source

From CAPTCHA to Commonsense: How Brain Can Teach Us About Artificial Intelligence

open access: yesFrontiers in Computational Neuroscience, 2020
Despite the recent progress in AI powered by deep learning in solving narrow tasks, we are not close to human intelligence in its flexibility, versatility, and efficiency.
Dileep George   +2 more
doaj   +1 more source

Enteropathogenic E. coli shows delayed attachment and host response in human jejunum organoid‐derived monolayers compared to HeLa cells

open access: yesFEBS Letters, EarlyView.
Enteropathogenic E. coli (EPEC) infects the human intestinal epithelium, resulting in severe illness and diarrhoea. In this study, we compared the infection of cancer‐derived cell lines with human organoid‐derived models of the small intestine. We observed a delayed in attachment, inflammation and cell death on primary cells, indicating that host ...
Mastura Neyazi   +5 more
wiley   +1 more source

Adversarial Training Methods for Boltzmann Machines

open access: yesIEEE Access, 2020
A Restricted Boltzmann Machines (RBM) is a generative Neural Net that is typically trained to minimize KL divergence between data distribution Pdata and its model distribution PRBM. However, minimizing this KL divergence does not sufficiently penalize an
Jian Zhang   +3 more
doaj   +1 more source

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