Results 91 to 100 of about 29,999,610 (319)
Machine learning and statistical models for predicting indoor air quality.
Indoor air quality (IAQ), as determined by the concentrations of indoor air pollutants, can be predicted using either physically-based mechanistic models or statistical models that are driven by measured data.
Wenjuan Wei+5 more
semanticscholar +1 more source
Imeglimin attenuates liver fibrosis by inhibiting vesicular ATP release from hepatic stellate cells
Imeglimin, at clinically relevant concentrations, inhibits vesicular ATP accumulation and release from hepatic stellate cells, thereby attenuating purinergic signaling and reducing fibrogenic activation. This mechanism reveals a newly identified antifibrotic action of imeglimin beyond glycemic control.
Seiji Nomura+8 more
wiley +1 more source
Environmental DNA (eDNA) is a powerful technique for biological assessments and monitoring in aquatic environments. The accurate interpretation of the source of eDNA detected requires understanding of its spatial and temporal bound.
Tiago A. M. Silva+4 more
doaj +1 more source
Comparing the Estimation Power of Machine Learning Models and Statistical Models in Predicting Profit Component Changes and Selecting the Optimal Model [PDF]
ObjectiveThe aim of predicting profit changes is to create awareness for investors, financial analysts, managers, stock market officials, creditors, and other users to judge the business unit, make decisions about buying or selling stocks, or granting or
Maryam Izadi+2 more
doaj +1 more source
Cancer cell death induced by the NAD antimetabolite Vacor discloses the antitumor potential of SARM1
Vacor, a compound converted into the toxic metabolite Vacor adenine dinucleotide (VAD) by the nicotinamide salvage pathway enzymes NAMPT and NMNAT2, exhibits antitumor activity by inducing rapid and complete NAD depletion. We report that Vacor toxicity is limited to cell lines expressing high levels of SARM1, a NAD glycohydrolase.
Giuseppe Ranieri+5 more
wiley +1 more source
Improving statistical models for flood risk assessment
Widespread flooding, such as the events in the winter of 2013/2014 in the UK and early summer 2013 in Cent ral Europe, demonst rate clearly how important it is to understand the characterist ics of floods in which mult iple locat ions experience ext reme
Towe Ross+4 more
doaj +1 more source
RAD50 missense variants differentially affect the DNA damage response and mitotic progression
RAD50 incorporates into the MRN complex and initiates the DNA damage response. Furthermore, RAD50 promotes mitotic progression. RAD50 missense variants capable of forming an MRN complex supported the DNA damage response and mitotic features to different extents in complementation experiments, indicating these functions are separable and might impact ...
Hanna Redeker+9 more
wiley +1 more source
Statistical Models of Nuclear Fragmentation
A method is presented that allows exact calculations of fragment multiplicity distributions for a canonical ensemble of non-interacting clusters. Fragmentation properties are shown to depend on only a few parameters.
A. Bohr+35 more
core +1 more source
A Statistical Model of Inequality [PDF]
This paper develops a nonparametric statistical model of wealth distribution that imposes little structure on the fluctuations of household wealth. In this setting, we use new techniques to obtain a closed-form household-by-household characterization of the stable distribution of wealth and show that this distribution is shaped entirely by two factors -
openaire +3 more sources
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