Results 111 to 120 of about 367,195 (301)

BIAS Bulletin. The Newsletter of Brent Irish Advisory Service. 1987 [PDF]

, 1987
Newsletter of Brent Irish Advisory Service (BIAS), 1987.
Brent Irish Advisory Service, Brent Irish Advisory Service, BIAS   +1 more
core  

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

FEBS 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, Yuhei Hosokawa, Lars Oliver Essen, Manuel Maestre‐Reyna   +3 more
wiley   +1 more source

The modified weight bias internalization scale: psychometric validation of three versions in a sample of university students

Eating and Weight Disorders
Purpose The Modified Weight Bias Internalization Scale (WBIS-M) is perhaps the most frequently used measure of internalised weight bias and has growing support for its psychometric properties.
Paul E. Jenkins, Lacin Baysen
doaj   +1 more source

An overview of differential item functioning in multistage computer adaptive testing using three-parameter logistic item response theory

Language Testing in Asia, 2017
As perfectly summarised by Ida Lawrence, “Testing is growing by leaps and bounds across the world. There is a realization that a nation’s well-being depends crucially on the educational achievement of its population.
Karim Sadeghi, Zainab Abolfazli Khonbi
doaj   +1 more source

Emerging insights into CC and CXC chemokines and their receptors in Mycobacterium tuberculosis infection

FEBS Open Bio, EarlyView.
The dual roles of CC and CXC chemokines in distinguishing active, latent, and subclinical tuberculosis were reviewed, along with an evaluation of their potential as diagnostic biomarkers and therapeutic targets to advance precision medicine in tuberculosis management. The graphical abstract was generated with AI assistance (Gemini 3.0).
Xuying Yin, Dangsheng Xiao, Jiezuan Yang
wiley   +1 more source

Computerized Adaptive Testing to Balance Exposure Bias and Measurement Accuracy Using Zero-Suppressed Binary Decision Diagrams

IEEE Access
Computerized adaptive testing (CAT) presents a tradeoff dilemma involving item exposure bias and measurement accuracy. To resolve this dilemma, we propose a new two-step CAT mechanism to balance exposure bias and measurement accuracy.
Maomi Ueno, Kazuma Fuchimoto, Wakaba Kishida, Yoshimitsu Miyazawa   +3 more
doaj   +1 more source

Loglinear-latent-class models for detecting item bias [PDF]

, 1988
The use of loglinear latent class models to detect item bias was studied. Purposes of the study were to: (1) develop procedures for use in assessing item bias when the grouping variable with respect to which bias occurs is not observed; (2) develop bias ...
Macready, George B., Kelderman, Henk
core  

Directed evolution of enzymes at the crossroads of tradition and innovation

FEBS 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, Andrej Mirossay, Erik Sedlak   +2 more
wiley   +1 more source

Bias Item Tes Keterampilan Proses Sains Pola Divergen dan Modifikasinya sebagai Tes Kreativitas

Jurnal Penelitian dan Evaluasi Pendidikan, 2013
Abstrak Penelitian ini bertujuan mengetahui bias item tes keterampilan proses sains pola divergen dan modifikasinya sebagai tes kreativitas biologi SMA untuk assessment for learning.
Bambang Subali
doaj  

A new method for detecting differential item functioning in the Rasch model [PDF]

Differential item functioning (DIF) can lead to an unfair advantage or disadvantage for certain subgroups in educational and psychological testing. Therefore, a variety of statistical methods has been suggested for detecting DIF in the Rasch model.
Carolin Strobl, Achim Zeileis, Julia Kopf   +2 more
core