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The calculation of exact reliabilities involving the inversion of mixed model equations poses a heavy computational challenge when the system of equations is large. This has prompted the development of different approximation methods. We give an overview of the various methods and computational approaches in calculating reliability from the era before the animal model to the era of single-step genomic models. The different methods are discussed in terms of modeling, development, and applicability in large dairy cattle populations. The paper also describes the problems faced in reliability computation. Many details dispersed throughout the literature are presented in this paper. It is clear that a universal solution applicable to every model and input data may not be possible, but we point out several efficient and accurate algorithms developed recently for a variety of very large genomic evaluations.
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http://dx.doi.org/10.3168/jds.2022-22629 | DOI Listing |
Drug Discov Today
September 2025
Department of Pharmaceutical and Artificial-Intelligence Sciences, Shanghai Jiao Tong University School of Medicine, Shanghai 200025, China; Key Laboratory of Protection, Development and Utilization of Medicinal Resources in Liupanshan Area, Ministry of Education, Peptide & Protein Drug Research Cen
The landscape of allosteric drug discovery is undergoing a transformative shift, driven by the integration of three computational approaches: machine learning (ML), molecular dynamics (MD) simulations, and network theory. ML identifies potential allosteric sites from multidimensional biological datasets; MD simulations, empowered by enhanced sampling algorithms, reveal transient conformational states; and network analyses uncover communication pathways, further aiding in site identification. Their synergy enables rational allosteric modulator design.
View Article and Find Full Text PDFActa Psychol (Amst)
September 2025
Department of International Business Administration, Chinese Culture University, 55 Hwa-Kang Road, Yang-Ming-Shan, Taipei City 111, Taiwan. Electronic address:
In an era where negative word-of-mouth escalates and spreads rapidly on social media, understanding the psychological mechanisms of brand defense is of critical importance. Expanding on literature that establishes brand love as a strong predictor of pro-brand behaviors in offline settings, this study investigates the psychological process that transforms this emotion into defensive behaviors in the high-visibility and high-risk environment of social media. This study advances and tests a moderated mediation model, specifying that customer brand engagement (CBE) mediates the brand love-brand defense relationship.
View Article and Find Full Text PDFThorax
September 2025
University College London, London, UK.
Curative-intent multimodality treatment-combining local treatments such as surgery or radiotherapy with systemic therapy-is the cornerstone of care in stage II-III non-small cell lung cancer (NSCLC). Since 2017, the systemic therapy backbones with multimodality treatment have undergone a dramatic transformation, driven by a series of pivotal, practice-changing clinical trials. Immunotherapy and targeted therapies, previously confined to the advanced/metastatic setting, are now firmly embedded in curative-intent regimens.
View Article and Find Full Text PDFArch Med Res
September 2025
Postgraduate Program in Computational Systems Modeling, Federal University of Tocantins, Palmas, Tocantins, Brazil.
Background: The COVID-19 pandemic prompted rapid adaptations in healthcare systems worldwide. Academic medical centers, pivotal in healthcare education and research, rapidly adopted innovations. Brazilian state-owned university hospitals experienced unprecedented pressure on their services and were compelled to adopt new approaches to education and care delivery.
View Article and Find Full Text PDFCurr Gene Ther
August 2025
Pharmacy, Société Francophone de Nutrithérapie et de Nutrigénétique Appliquée, Villeurbanne, France.
Introduction: Hereditary forms of diabetes, including Maturity-Onset Diabetes of the Young (MODY) and Neonatal Diabetes Mellitus (NDM), are rare monogenic disorders caused by mutations in genes involved in pancreatic development, beta-cell function, and insulin secretion. Unlike the polygenic nature of type 1 and type 2 diabetes, these forms provide a unique model for precision medicine.
Methods: A comprehensive literature review was conducted to explore the molecular genetics, clinical features, diagnostic advancements, and therapeutic strategies related to MODY and NDM.