FEATURES OF DETERMINING MASS EMISSIONS OF PARTICULATE MATTER IN DIESEL ENGINES EXHAUST GASES [PDF]
Avtomobilʹnyj Transport (Harʹkov), 2014 The paper deals with the problems of features of experimental comparative research of particulate filters of performance for diesel engines in general, and experimental and estimated determination of mass emissions of particulate matter as one of the ...
O. Kondratenko, O. Strokov, S. Vambol’
doaj
Carcinogenic and mutagenic agents in the workplace, Poland, 2011–2012
Medycyna Pracy, 2015 Background: The objective of the study was the analysis of structure of carcinogenic or mutagenic chemical substances and dusts occurring in Polish enterprises, 2011–2012, including the number of exposed employees reported to the “Central register of ...
Anna Pałaszewska-Tkacz +2 more
doaj +1 more source
Adapting the Interrelated Two-way Clustering method for Quantitative Structure-Activity Relationship (QSAR) Modeling of a Diverse Set of Chemical Compounds [PDF]
Curr. Comput. Aided Drug Des. 9-4 (2013) 463-471, 2013 Interrelated Two-way Clustering (ITC) is an unsupervised clustering method developed to divide samples into two groups in gene expression data obtained through microarrays, selecting important genes simultaneously in the process. This has been found to be a better approach than conventional clustering methods like K-means or self-organizing map for the
arxiv +1 more source
In-silico Predictive Mutagenicity Model Generation Using Supervised Learning Approaches [PDF]
, 2011 With the advent of High Throughput Screening techniques, it is feasible to filter possible leads from a mammoth chemical space that can act against a particular target and inhibit its action.
Abhik Seal +3 more
core +2 more sources
Effect of induced mutagenesis in M1 and M2 generations of cumin (Cuminum cyminum L.)
Electronic Journal of Plant Breeding, 2023 Cumin is an important spice that has been used for centuries in various cuisines around the world. Two cumin varieties (GC 3 and GC 4) were subjected to mutation to understand macromutational modifications.
H. N. Patel1*, M. P. Patel2, N. V. Soni1, N. B. Patel1, A. M. Patel3 and N. I. Patel4
doaj +1 more source
Heterocyclic amines: Mutagens/carcinogens produced during cooking of meat and fish
Cancer Science, 2004 Research leading to the discovery of a series of mutagenic and carcinogenic heterocyclic amines (HCAs) was inspired by the idea that smoke produced during cooking of food, especially meat or fish, might be carcinogenic.
T. Sugimura +3 more
semanticscholar +1 more source
Processed Meat and Colorectal Cancer: A Review of Epidemiologic and Experimental Evidence [PDF]
, 2008 Processed meat intake may be involved in the etiology of colorectal cancer, a major cause of death in affluent countries. The epidemiologic studies published to date conclude that the excess risk in the highest category of processed meat-eaters is ...
Corpet, Denis E. +2 more
core +3 more sources
Meiotic changes in Vicia faba L. subsequent to treatments of hydrazine hydrate and maleic hydrazide [PDF]
Journal of BioScience and Biotechnology, 2013 Assessing the impact of mutagens for creating variations in crops like faba bean (Vicia faba L.) is an important criterion in the contemporary world where food insecurity and malnutrition is alarming at the doors of various nations.
Shaheen Husain +3 more
doaj
Somatic mutations render human exome and pathogen DNA more similar [PDF]
, 2019 Immunotherapy has recently shown important clinical successes in a substantial number of oncology indications. Additionally, the tumor somatic mutation load has been shown to associate with response to these therapeutic agents, and specific mutational signatures are hypothesized to improve this association, including signatures related to pathogen ...
arxiv +1 more source
XInsight: Revealing Model Insights for GNNs with Flow-based Explanations [PDF]
arXiv, 2023 Progress in graph neural networks has grown rapidly in recent years, with many new developments in drug discovery, medical diagnosis, and recommender systems. While this progress is significant, many networks are `black boxes' with little understanding of the `what' exactly the network is learning. Many high-stakes applications, such as drug discovery,
arxiv