Results 101 to 110 of about 16,135,492 (293)
Non-response Bias in Social Risk Factor Screening Among Adult Emergency Department Patients. [PDF]
J Med Syst, 2023 Vest JR, Mazurenko O.
europepmc +1 more source
Prospecting the protein design landscape
FEBS Letters, EarlyView.This review outlines the current state of various protein design approaches. We discuss the current possibilities enabled by recently released tools, highlight future avenues to pursue in protein design, and underscore the crucial role of key databases and resources for successful protein design workflows.
Jakob R. Riccabona +4 more
wiley +1 more source
Artificial molecular machines and motors—Design and control of nanoscale motion
FEBS Letters, EarlyView.Molecules are constantly moving because of thermal fluctuations, but random motion alone cannot be exploited to perform directional tasks. Artificial molecular machines use chemical, electrical, or light energy to bias this motion. Molecular shuttles, rotary motors, and supramolecular pumps illustrate how nanoscale movement can be controlled and ...
Leonardo Andreoni, Alberto Credi
wiley +1 more source
A Short Note on Aberrant Responses Bias in Item Response Theory
Frontiers in Psychology, 2019 Item response models often cannot calculate true individual response probabilities because of the existence of response disturbances (such as guessing and cheating).
Bing Jia, Xue Zhang, Zhemin Zhu
doaj +1 more source
Non-response bias in the analysis of the association between mental health and the urban environment: a cross-sectional study in Brussels, Belgium. [PDF]
Arch Public Health, 2023 Guyot M +7 more
europepmc +1 more source
On iterative adjustment of responses for the reduction of bias in binary regression models [PDF]
, 2009 The adjustment of the binomial data by small constants is a common practice in statistical modelling, for avoiding sparseness issues and, historically, for improving the asymptotic properties of the estimators. However, there are two main disadvantages
Kosmidis, Ioannis
core
Bias and Equivalence in Cross-Cultural Research [PDF]
, 2012 Bias and equivalence are key concepts in the methodology of cross-cultural studies. Bias is a generic term for any challenge of the comparability of cross-cultural data; bias leads to invalid conclusions.
Jia He +5 more
core +1 more source
FEBS Letters, EarlyView.Transient oligomers formed by intrinsically disordered proteins may be ‘invisible’ to direct detection yet remain accessible to solution NMR through equilibrium‐exchange measurements and pressure‐jump experiments. Complementary methods report on mass, stoichiometry, selected distance distributions, morphology, and internal packing.
Martin D. Gelenter, Ad Bax
wiley +1 more source
Maladaptive self-reported eating behaviours and attentional bias for food cues
, 2013 Worldwide rates of obesity have dramatically increased in the last few decades. The impact on those involved and on health care systems continues to be huge.
Dobinson, Stuart
core +1 more source
Models for Anchoring and Acquiescence Bias in Consumption Data [PDF]
Item non-response in household survey data on economic variables such as income, assets or consumption is a well-known problem.Follow-up unfolding bracket questions have been used as a tool to collect partial information on respondents that do not answer
Soest, A.H.O. van, Hurd, M.
core