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Development and validation of the student readiness and anxiety scale for AI-assisted biology teaching (SRAS-AIBT). [PDF]
Kadirhanoğulları MK, Özay Köse E.
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Drug resistance limits treatment success in a subset of lung cancers driven by ROS1 gene alterations. Using patient‐derived cells and computer simulations, we studied three key mutations and how they affect five targeted drugs. The mutations reduced drug effectiveness in different ways by altering protein structure and behavior.
Farhan Ul Haq +8 more
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Incontinence Quiz (IQ): Translation, Cross-Cultural Adaptation, and Psychometric Validation of the French Version. [PDF]
Ribeiro A +4 more
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BCL9 and BCL9L drive bladder cancer progression by enhancing β‐catenin signaling, promoting proliferation, migration, invasion, and organoid growth. Genetic depletion of BCL9(L) suppresses malignant phenotypes, while pharmacological disruption of the β‐catenin/BCL9(L) complex with ZW4864 inhibits canonical Wnt signaling and tumor‐associated cellular ...
Roland Kotolloshi +11 more
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Symptom clusters in ME/CFS reflect distinct neuroimmune and autonomic pathophysiological mechanisms: a translational model. [PDF]
Habermann-Horstmeier L, Horstmeier LM.
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Circulating microRNAs as biomarkers of cachexia and sex‐specific cancer in senior dogs. In 25 client‐owned dogs, four circulating miRNAs (miR‐15a, miR‐15b, miR‐16, miR‐140) were downregulated in cachexia, with miR‐16 the strongest individual biomarker (AUC = 0.899).
Soon‐Seok Park +6 more
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Statistical Inference of Minimum Rank Factor Analysis
Psychometrika, 2002For any given number of factors, Minimum Rank Factor Analysis yields optimal communalities for an observed covariance matrix in the sense that the unexplained common variance with that number of factors is minimized, subject to the constraint that both the diagonal matrix of unique variances and the observed covariance matrix minus that diagonal matrix
Shapiro, A, Ten Berge, JMF
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On the Statistical Treatment of Residuals in Factor Analysis
Psychometrika, 1962A method for estimation in factor analysis is presented. The method is based on the assumption that the residual (specific and error) variances are proportional to the reciprocal values of the diagonal elements of the inverted covariance (correlation) matrix. The estimation is performed by a modification of Whittle's least squares technique. The method
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Statistical analysis of nonlinear factor analysis models
British Journal of Mathematical and Statistical Psychology, 1999This paper presents a Bayesian analysis of a general nonlinear factor analysis model. Both the non‐informative and conjugate prior distributions are considered. A hybrid algorithm that combines the Metropolis‐Hastings algorithm and the Gibbs sampler is implemented to produce direct estimates of the latent factor scores and the structural parameters ...
Hong‐Tu Zhu, Sik‐Yum Lee
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