Results 91 to 100 of about 872,279 (317)

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

Effect of milk recording scheme on lactation milk yields prediction accuracy

Mljekarstvo, 2009
Different AT milk recording schemes, with purpose of detection of scheme with the highest lactation milk yields prediction accuracy as well as with simplest practice application, were compared in this study.
Dragomir Kompan, Drago Solić, Nikola Raguž, Sonja Jovanovac, Vesna Gantner   +4 more
doaj  

Risk Prediction Models for Recurrence After Curative Treatment of Early‐Stage or Locally Advanced Lung Cancer: A Systematic Review

Aging and Cancer, EarlyView.
This systematic review synthesizes prognostic models for survival and recurrence in resected non‐small cell lung cancer. While many models demonstrate moderate to good discrimination, few are externally validated and reporting quality is variable, limiting clinical applicability and highlighting the need for robust, transparent model development ...
Evangeline Samuel, S. Tissera, E. Paul, J. Zalcberg, R. G. Stirling   +4 more
wiley   +1 more source

Submarket, Heterogeneity and Hedonic Prediction Accuracy of Real Estate Prices: Evidence from Shanghai [PDF]

This paper contributes to the literature by examining how much the prediction accuracy of real estate prices could be improved by applying hedonic equations at suitably defined disaggregate levels and incorporating directional heterogeneity of distance ...
Jie Chen, Qianjin Hao
core  

Intelligent Tutoring Systems for Adult Learning in STEM Disciplines

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Intelligent tutoring systems (ITS) are reshaping adult learning in STEM by providing adaptive, data‐driven instruction across classrooms, workplaces, and informal environments. In the context of ITS, this article compares generative AI, which creates personalized explanations and practice materials, with explainable AI, which focuses on ...
Jill Zarestky, Amanda R. Lager Gleason
wiley   +1 more source

Predicting Diagnostic Accuracy [PDF]

Journal of General Internal Medicine, 2007
To the Editor: The report by Nendaz et al.1 on diagnostic accuracy highlighted the importance of previous exposure to similar cases and generating hypotheses early in the encounter. However, I was surprised the authors did not reference the descriptive article by Kassirer and Gorry2 in which similar conclusions were reached.
openaire   +1 more source

Best Linear Unbiased Prediction of Genomic Breeding Values Using a Trait-Specific Marker-Derived Relationship Matrix [PDF]

, 2010
Background: With the availability of high density whole-genome single nucleotide polymorphism chips, genomic selection has become a promising method to estimate genetic merit with potentially high accuracy for animal, plant and aquaculture species of ...
Bijma, Piter, Bijma Piter, Dirk-Jan de Koning, Liu, J.F., Bijma, P., de Koning Dirk-Jan, Zhang, Zhe, Ding, Xiangdong, Zhang, Qin, Koning, D.J., de, Liu, Jianfeng, Qin Zhang, de Koning, Dirk-Jan, Zhang Qin, Zhe Zhang, Z., Ding, Z., Zhang Zhe, Ding Xiangdong, Piter Bijma, Jianfeng Liu, Xiangdong Ding, Zhe Zhang, Liu Jianfeng, de Koning, D.J.   +23 more
core   +1 more source

Artificial Intelligence and Mental Well‐Being in Adult Education: Implications for Practice and Professional Responsibility

New Directions for Adult and Continuing Education, EarlyView.
ABSTRACT Mental well‐being is central to adult learner success, yet many adult education institutions lack capacity to provide timely and accessible support. This article examines how artificial intelligence (AI) can strengthen mental health–adjacent supports in adult and continuing higher education, with attention to professional practice and ...
Adam L. McClain, Thomas Wade
wiley   +1 more source

Prediction accuracy.

, 2014
(A) Prediction accuracy of exon inclusion categories from leave-one-out cross-validation by cell line being predicted. (B) Prediction accuracy by exon inclusion category comparison.
Ondrej Podlaha (353270), Subhajyoti De (46970), Mithat Gonen (310884), Franziska Michor (103841)   +3 more
core   +1 more source

CX3CL1 in Early Detection of Alzheimer's Disease: Plasma Dynamics Across Age and Disease Stages

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Backgrounds Alzheimer's disease (AD) is characterized by amyloid‐beta plaques, tau tangles, and neuroinflammation. C‐X3‐C motif chemokine ligand 1 (CX3CL1, also known as fractalkine), a neuroimmune chemokine implicated in AD pathogenesis, shows inconsistent alterations in plasma/serum across studies.
Ling Wang, Yujie Liu, Fei Li, Xuelin Li, Lanlan Li, Jie Zhang, Yali Xu   +6 more
wiley   +1 more source