Results 141 to 150 of about 55,163 (272)
ESTIMATION OF GENETIC DIVERSITY IN LENTIL GERMPLASM
The experiment was to determine the relation-ship between yield and yield contributing traits and select the promising genotypes. Twenty two genotypes and two check varieties were evaluated at Bangladesh Agricultural Research Institute, Joydebpur ...
A.K.M.M. Alam, R. Podder, A. Sarker
doaj
Estimation of genotypic and phenotypic coefficient of variation, heritability and genetic advance in okra [Abelmoschus esculentus (L.) Moench] [PDF]
C. P. S. Solanki +3 more
openalex
Peroxidase‐Mimicking Nanozymes for Rapid Detection of Infectious Diseases
Peroxidase‐mimicking nanozymes (PMNs) have emerged as robust and versatile materials for rapid infectious disease diagnostics. This review highlights the rational design and controlled synthesis of PMNs, summarizes key biomarkers relevant to infectious diseases, examines their integration into diverse rapid detection platforms, and highlights ...
Shikuan Shao +5 more
wiley +1 more source
Multi‐Tissue Omics Analysis Uncovers Translational Regulation Underlying Complex Traits in Pigs
Integrated multi‐omics across pig breeds and tissues reveals key principles of post‐transcriptional translational regulation and their contribution to trait formation. A gene network framework integrating transcriptomic and translatomic data is developed and applied to elucidate the genetic basis of meat production, offering new insights into mammalian
Chao Wang +13 more
wiley +1 more source
Advancing European Plant Variety Registration: Data‐Driven Insights and Stakeholder Perspectives
ABSTRACT Efficient plant variety registration is crucial for fostering innovation in the European Union, yet the current regulatory framework is complex and faces calls for reform. This study provides data‐driven evidence to inform the ongoing legislative debate by employing a mixed‐methods approach.
Sergio Urioste Daza +2 more
wiley +1 more source
Artificial Intelligence for Bone: Theory, Methods, and Applications
Advances in artificial intelligence (AI) offer the potential to improve bone research. The current review explores the contributions of AI to pathological study, biomarker discovery, drug design, and clinical diagnosis and prognosis of bone diseases. We envision that AI‐driven methodologies will enable identifying novel targets for drugs discovery. The
Dongfeng Yuan +3 more
wiley +1 more source
Steatotic HCC can be diagnosed by MRI and forms a pro‐tumor immune microenvironment with high expression of PD‐L1, M2 polarization of macrophages and activation of CAFs, which may be a good target for combined immunotherapy. Abstract Background and Aims Immunotherapy has become the standard‐of‐care treatment for hepatocellular carcinoma (HCC), but its ...
Hiroki Murai +29 more
wiley +1 more source
Quantitative phase maps of single cells recorded in flow cytometry modality feed a hierarchical architecture of machine learning models for the label‐free identification of subtypes of ovarian cancer. The employment of a priori clinical information improves the classification performance, thus emulating the clinical application of liquid biopsy during ...
Daniele Pirone +11 more
wiley +1 more source
Physiological activation of myeloid p38 controls macrophage IL‐12 production and crosstalk to the liver by modulating hepatic FGF21, and subsequently, brown adipose tissue thermogenesis during obesity Abstract Obesity features excessive fat accumulation in several body tissues and induces a state of chronic low‐grade inflammation that contributes to ...
María Crespo +14 more
wiley +1 more source
Studies on phenotypic and genotypic coefficient of variation (PCV and GCV) between different characters in Pea (Pisum sativum L.) genotypes in sodic condition [PDF]
Navin Kumar +4 more
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