Results 91 to 100 of about 7,717,977 (381)

RaMBat: Accurate identification of medulloblastoma subtypes from diverse data sources with severe batch effects

open access: yesMolecular Oncology, EarlyView.
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley   +1 more source

Psychometric Properties of the Readiness for Hospital Discharge Scale [PDF]

open access: yes, 2006
The purpose of the study was to assess the psychometrics properties of the Readiness for Hospital Discharge Scale (RHDS), a 23-item instrument that measures patients\u27 perception of readiness for discharge.
Piacentine, Linda, Weiss, Marianne
core   +1 more source

Gangs, Guns, and Drugs: Recidivism among Serious, Young Offenders [PDF]

open access: yes, 2007
The primary goal of this study is to understand the factors that best explain recidivism among a sample of 322 young men aged 17 to 24 years released from prison in a Midwestern state.
Adams   +83 more
core   +3 more sources

Rethinking plastic waste: innovations in enzymatic breakdown of oil‐based polyesters and bioplastics

open access: yesFEBS Open Bio, EarlyView.
Plastic pollution remains a critical environmental challenge, and current mechanical and chemical recycling methods are insufficient to achieve a fully circular economy. This review highlights recent breakthroughs in the enzymatic depolymerization of both oil‐derived polyesters and bioplastics, including high‐throughput protein engineering, de novo ...
Elena Rosini   +2 more
wiley   +1 more source

Resting Energy Expenditure of Physically Active Boys in Southeastern Poland—The Accuracy and Validity of Predictive Equations [PDF]

open access: gold, 2020
Edyta Łuszczki   +7 more
openalex   +1 more source

Naked cuticle is essential for Drosophila wing development beyond Wingless signaling

open access: yesFEBS Open Bio, EarlyView.
Naked cuticle (Nkd), a Wnt signaling inhibitor, assumes extensive roles in Drosophila wing development. Overexpressing Nkd causes smaller, crumpled wings, while also perturbing multiple signaling pathways and developmental genes. A specific region (R1S) is critical for Nkd's function as a signaling integrator, offering new insights for studying its ...
Rui Wang, Ping Wang
wiley   +1 more source

Antibiofilm activity of a chionodracine‐derived peptide by NMR‐based metabolomics of cell‐free supernatant of Acinetobacter baumannii clinical strains

open access: yesFEBS Open Bio, EarlyView.
KHS‐Cnd peptide is able to impair biofilm formation and disaggregate mature biofilms in Acinetobacter baumannii clinical isolates. Differences in extracellular metabolites reflect changes in biofilm metabolism due to KHS‐Cnd treatment. Among the differentially represented extracellular metabolites upon KHS‐Cnd treatment, the significantly altered ...
Fernando Porcelli   +9 more
wiley   +1 more source

Modelling of cutting process impact on machine tool thermal behaviour based on experimental data [PDF]

open access: yes, 2017
Achieving high workpiece accuracy is a long-term goal of machine tool designers. There are many causes of workpiece inaccuracy, with thermal errors being the most dominant.
Horejš O., Mareš M.
core   +1 more source

The Refined Theory of Values: associations with behavior and evidences of discriminative and predictive validity

open access: yes, 2016
1 Financing: National Council for Scientific and Technological Development (CNPq). Process no. 301955/2014-0. * Correspondence address: claudio.v.torres@gmail.com Abstract: The refined theory of 19 basic human values was presented in 2012.
C. Torres, S. Schwartz, T. G. Nascimento
semanticscholar   +1 more source

Prediction uncertainty validation for computational chemists

open access: yesThe Journal of Chemical Physics, 2022
Validation of prediction uncertainty (PU) is becoming an essential task for modern computational chemistry. Designed to quantify the reliability of predictions in meteorology, the calibration-sharpness (CS) framework is now widely used to optimize and validate uncertainty-aware machine learning (ML) methods.
openaire   +3 more sources

Home - About - Disclaimer - Privacy