Results 41 to 50 of about 220,222 (219)
Adversarial Training Methods for Boltzmann Machines
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
ABSTRACT Background Heavy menstrual bleeding (HMB) is a common condition among adolescents and young adults (AYAs) and is the leading cause of iron deficiency anemia (IDA) in this population. Growing evidence suggests that social determinants of health (SDOH) influence menstrual bleeding patterns, access to care, and treatment. However, no studies have
Maria Carter‐Febres +6 more
wiley +1 more source
ABSTRACT Background Establishing a comprehensive apheresis medicine program in a resource‐constrained setting presents significant structural, financial, and logistical challenges. Despite the growing clinical importance of apheresis services globally, published experience from sub‐Saharan Africa remains sparse.
Folasade Adelekan‐Popoola +4 more
wiley +1 more source
A Bayesian Account of Generalist and Specialist Formation Under the Active Inference Framework
This paper offers a formal account of policy learning, or habitual behavioral optimization, under the framework of Active Inference. In this setting, habit formation becomes an autodidactic, experience-dependent process, based upon what the agent sees ...
Anthony G. Chen +4 more
doaj +1 more source
ABSTRACT Background Maintenance hemodialysis (MHD) patients frequently suffer from frailty, characterized by reduced physical function and poor prognosis. Myokines, such as myonectin, secreted by muscle, are emerging regulators of systemic health. This study investigated the relationship between serum myonectin, adipokines (adiponectin, omentin), and ...
Kenichi Kono +7 more
wiley +1 more source
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
Multimodal Image Translation Algorithm Based on Singular Squeeze-and-Excitation Network
Image-to-image translation methods have advanced from focusing on image-level info to incorporating pixel-level and instance-level details. However, with feature-level constraint, deviation occurs when the network overemphasizes convolutional features ...
Hangyao Tu, Zheng Wang, Yanwei Zhao
doaj +1 more source
State-of-the-Art and Prospects of Intelligence Technologies in Bridge Engineering: A Comprehensive Review [PDF]
China has a vast bridge infrastructure inventory that, on the whole, has entered a phase marked by intensive performance degradation and centralized maintenance. Traditional operation and maintenance paradigms, which heavily rely on manual labor, find it
Yue Pan +5 more
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CLEANIR: Controllable Attribute-Preserving Natural Identity Remover
We live in an era of privacy concerns. As smart devices such as smartphones, service robots and surveillance cameras spread, preservation of our privacy becomes one of the major concerns in our daily life.
Durkhyun Cho, Jin Han Lee, Il Hong Suh
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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

