Results 141 to 150 of about 5,002,207 (261)

Do Errors on Classic Decision Biases Happen Fast or Slow? Numeracy and Decision Time Predict Probability Matching, Sample Size Neglect, and Ratio Bias

open access: yesJournal of Numerical Cognition
Higher numeracy is associated with better comprehension and use of numeric information as well as reduced susceptibility to some decision biases. We extended this line of work by showing that increased numeracy predicted probability maximizing (versus ...
Ryan Corser   +2 more
doaj   +1 more source

Impact of Graft Size Matching on the Early Post-Transplant Complications and Patients Survival in Children after Living Donor Liver Transplantations. [PDF]

open access: yesChildren (Basel), 2021
Stefanowicz M   +9 more
europepmc   +1 more source

Refinement of amino‐acid conformation vs. difference density maps in time‐resolved serial femtosecond crystallography data analysis

open access: yesFEBS Open Bio, EarlyView.
The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong   +3 more
wiley   +1 more source

Worker-firm Matching and Unemployment in Transition to a Market [PDF]

open access: yes
In this paper we compare the nature and determinants of outflows from unemployment in the case of the Czech and Slovak Republics which in early 1990’s experienced a process close to a controlled experiment.
Jan Svejnar   +2 more
core  

density-matching v1.0

open access: yes, 2015
Codes for density-matching, a new approach for optimization under ...
Pranay Seshadri
core   +1 more source

Versatile vector tools for efficient protein screening across multiple expression systems

open access: yesFEBS Open Bio, EarlyView.
A unified vector toolkit enables rapid protein expression screening across E. coli, insect, and mammalian cells. A single primer pair amplifies the target gene, which is inserted into any vector via a standardized interface. This streamlined workflow eliminates repeated cloning steps, accelerating the identification of optimal expression conditions for
Zhimin Zhu   +5 more
wiley   +1 more source

Aggregate Matching Function. The Case of Poland [PDF]

open access: yes
The main goal of this paper is to analyze the matching function in the Polish labour market in 1994-2008. Matching function is the relationship between outflows from unemployment to employment and the number of unemployed persons and vacancies as well as
Sylwia Roszkowska
core  

Time‐restricted feeding prior to Mycobacterium tuberculosis infection reduces tissue CD4+ T cells with limited impact on bacterial clearance

open access: yesFEBS Open Bio, EarlyView.
Time‐restricted feeding (TRF) in mice increased liver fatty acid oxidation and decreased fatty acid biosynthesis. These alterations persisted when TRF was discontinued and the host was infected with Mycobacterium tuberculosis. Pre‐exposure to TRF did not alter tissue (lung and spleen) mycobacterial burden but significantly reduced CD3+ T cells in lungs
Ashish Gupta   +7 more
wiley   +1 more source

Cyclic azapeptide CD36 ligand attenuates cardiac injury and reduces long‐chain fatty acid accumulation after myocardial ischemia–reperfusion in mice

open access: yesFEBS Open Bio, EarlyView.
In a murine model of myocardial ischemia and reperfusion (MI/R), the CD36 azapeptide ligand MPE‐298 reduces cardiac injury and transiently lowers left ventricular long‐chain fatty acids (LCFAs) accumulation 3 h after reperfusion, accompanied by a decrease of oxidative stress and inflammation‐associated genes' expression in the heart and adipose tissue.
Jade Gauvin   +12 more
wiley   +1 more source

Directed evolution of enzymes at the crossroads of tradition and innovation

open access: yesFEBS Open Bio, EarlyView.
An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova   +2 more
wiley   +1 more source

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