Results 31 to 40 of about 37,645 (266)
Wireless Machine-to-Machine Networks 2013 [PDF]
International Journal of Distributed Sensor Networks, 2014 Editorial
Jianhua He +4 more
openaire +3 more sources
Investigation of a test rig based on smart vision sensors for automated inspection of press-hardened automotive body components [PDF]
MATEC Web of ConferencesDefects such as cracks, overlaps and impressions are prevalent in the manufacturing of press-hardened automotive body components. The prevailing industrial practices rely on manual visual inspections, which are both costly and less effective, thereby ...
Simon Fabio +4 more
doaj +1 more source
Therapeutic Apheresis and Dialysis, EarlyView.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
Tribological Properties of Carbon Tool Steel after Plasma Electrolytic Nitrocarburizing
Journal of Manufacturing and Materials Processing, 2023 The effect of plasma electrolytic nitrocarburizing on the wear resistance of carbon tool steel in friction couples with hardened steel and lead-tin bronze is considered in order to study the mechanism and type of wear, as well as the influence of ...
Tatiana Mukhacheva +8 more
doaj +1 more source
Therapeutic 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
Machine Learned Learning Machines
CoRR, 2017 There are two common approaches for optimizing the performance of a machine: genetic algorithms and machine learning. A genetic algorithm is applied over many generations whereas machine learning works by applying feedback until the system meets a performance threshold. Though these are methods that typically operate separately, we combine evolutionary
Leigh Sheneman, Arend Hintze
openaire +3 more sources
The influence of model orientation on achieved accuracy in multi jet fusion additive manufacturing
Scientific ReportsThe study analyses the effect of model orientation on the geometric and mechanical properties of PA12 parts produced by Multi Jet Fusion (MJF). Model orientation represents a critical factor affecting dimensional accuracy and overall print quality in ...
Alžbeta Briliaková +6 more
doaj +1 more source
Therapeutic 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
Optimization experiment on eccentric lapping of cylindrical rollers
Nanotechnology and Precision Engineering, 2018 Cylindrical rollers are important elements of bearings, and their machining accuracy and consistency affect the bearing quality. Using a GCr15 cylindrical roller of Ф11 × 12 as the processing object in this study, the effects of loading pressure ...
Jia Su +3 more
doaj +1 more source
Gut microbiome and aging—A dynamic interplay of microbes, metabolites, and the immune system
FEBS Letters, EarlyView.Age‐dependent shifts in microbial communities engender shifts in microbial metabolite profiles. These in turn drive shifts in barrier surface permeability of the gut and brain and induce immune activation. When paired with preexisting age‐related chronic inflammation this increases the risk of neuroinflammation and neurodegenerative diseases.
Aaron Mehl, Eran Blacher
wiley +1 more source