Results 41 to 50 of about 6,759,569 (267)
This paper explores firms’ wage adjustment practices in the Colombian formal labor market; specifically, the timing and frequency of wage increases, as well as the link between wage and price changes.
Ana Iregui, Ligia Melo, María Ramírez
doaj
Interpretable machine learning reveals how composition and processing govern the formation and microstructural burden of Fe‐rich intermetallic compounds in recycled Al–Si–Fe–Mn alloys. By separating morphology selection from morphology‐conditioned burden partitioning, this framework shows that identical Fe contents can yield different intermetallic ...
Jaemin Wang +2 more
wiley +1 more source
This paper evaluate the hypothesis that race is a determining factor in access to quality employment in Colombia during 2007. Using data from the Large Integrated Household Survey (2007-I), we estimate a generalized ordered logit model.
José Santiago Arroyo Mina +3 more
doaj
Employment modelling in Slovakia: Comparing logit models in 2005 and 2009 [PDF]
In this paper we present models based on a statistical modelling approach that explain the effects of selected variables on employment in Slovakia in the years 2005 and 2009.
Lučkaničová Martina +2 more
doaj +1 more source
The effect of risk factors on crash severity varies across vehicle types. The objective of this study was to explore the risk factors associated with the severity of rural single-vehicle (SV) crashes.
Fulu Wei +5 more
doaj +1 more source
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung +4 more
wiley +1 more source
A Generative Neuro‐Symbolic AI for Protein Sequence Design
We introduce EffieDes, a neuro‐symbolic framework coupling deep learning‐based fitness landscape parameterization with exact automated reasoning. Unlike greedy sampling, EffieDes identifies sequences that globally optimize fitness while satisfying intricate design constraints.
Marianne Defresne +12 more
wiley +1 more source
A Panel of Circulating Exosomal sncRNAs Associated With Lung Cancer Risk up to 10 Years in Advance
Lung cancer is often diagnosed too late, and current screening overlooks many people at risk. In a long‐term study of smokers, a panel of small non‐coding RNAs carried in blood exosomes signals elevated lung cancer risk up to ten years before diagnosis, pointing toward a blood‐based tool for earlier risk detection.
Zhuokun Feng +12 more
wiley +1 more source
A Five-Year-Ahead Bankruptcy Prediction: the Case of Tehran Stock Exchange [PDF]
This study predicts corporate bankruptcy five years before its occurrence using financial ratios introduced in Altman’s z-score model and current ratio.
Hossein Panahi +2 more
doaj +1 more source
This study presents BraMARS, an explainable deep learning model that estimates future brain metastasis risk in surgically resected limited‐stage small‐cell lung cancer using routine H&E‐stained whole‐slide images. By linking model‐attributed spatial histopathology with clinical outcomes and proteomic programs, BraMARS provides a biologically ...
Zijian Yang +10 more
wiley +1 more source

