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Wiley's English-Spanish, Spanish-English chemistry dictionary
Wiley's English-Spanish, Spanish-English CHEMISTRY DICTIONARY
Translates more than 75, 000 terms in chemistry and its related disciplines
With more than 35, 000 new entries added, the Second Edition of Wiley's English-Spanish, Spanish-English Chemistry Dictionary has been completely updated and revised, now translating more than 75, 000 terms. You'll find coverage of all areas of chemistry, including chemical biology, biochemistry, biotechnology, and nanochemistry. There's also coverage of relevant terms in related disciplines of science and engineering. The dictionary's straightforward, intuitive format makes it quick and easy for you to translate terms from either English to Spanish or Spanish to English.
Acclaimed lexicographer Steven M. Kaplan has provided Spanish and English language equivalents that are clear and accurate. Moreover, he has reviewed the current chemistry literature in order to include recently coined terms.
Wiley's English-Spanish, Spanish-English Chemistry Dictionary features:
* A wealth of information in one portable volume
* Entries covering the broad range of subdisciplines within chemistry
* English and Spanish language equivalents of thousands of chemical compounds
* Terms and phrases in related areas of science and engineering
* User-friendly format that takes you directly to the precise term needed
Current with all the latest terms and phrases used in contemporary chemistry, this Second Edition remains indispensable for researchers, educators, students, and translators working in the field of chemistry.
Este diccionario sirve igualmente bien para las personas que hablan el Inglés como lengua primaria o el Español como lengua primaria.
eBook
Wiley's English-Spanish, Spanish-English chemistry dictionary, second edition
This Dictionary provides over 75,000 entries covering all areas of chemistry, such as Chemical Biology, Biochemistry, Biotechnology, and Nanochemistry, plus relevant terms in related spheres of expertise. In order to prepare this Second Edition, the First Edition was completely revised, and over 35,000 new terms were added. This new edition will continue to be the Dictionary that chemists, educators, students, translators, and those working in English and Spanish in chemistry and associated fields have been trusting since the First Edition was published in 1998.
eBook
Hawley's condensed chemical dictionary
1471 new definitions, 5,236 revised or updated definitions, a new Chemical Abstract Number index, and an update of all trademarks Significant expansion of both chemical and biochemical terms including the addition of biochemical terms in the emerging fields in biology and biological engineering such as synthetic biology, highlighting the merging of the sciences of chemistry and biology Updates and expands the extensive data on chemicals, trade name products, and chemistry-related definitions Adds entries for notable chemists and Nobel Prize winners, equipment and devices, natural forms and minerals, named reactions, and chemical processes Update on toxicological profiles
eBook
Hutchinson Trends in Science - Chemistry
Overview of the development of chemistry in the 20th century.
eBook
Electrochemical Dictionary
This comprehensive dictionary includes some 3000 common terms in electrochemistry and energy research, and related fields. Offers clear, precise definitions, references and more than 600 illustrations. The new edition adds more than 300 new and revised terms.
eBook
Alkaloids Used as Medicines: Structural Phytochemistry Meets Biodiversity—An Update and Forward Look
Selecting candidates for drug developments using computational design and empirical rules has resulted in a broad discussion about their success. In a previous study, we had shown that a species’ abundance [as expressed by the GBIF (Global Biodiversity Information Facility)] dataset is a core determinant for the development of a natural product into a medicine. Our overarching aim is to understand the unique requirements for natural product-based drug development. Web of Science was queried for research on alkaloids in combination with plant systematics/taxonomy. All alkaloids containing species demonstrated an average increase of 8.66 in GBIF occurrences between 2014 and 2020. Medicinal Species with alkaloids show higher abundance compared to non-medicinal alkaloids, often linked also to cultivation. Alkaloids with high biodiversity are often simple alkaloids found in multiple species with the presence of ’driver species‘ and are more likely to be included in early-stage drug development compared to ‘rare’ alkaloids. Similarly, the success of an alkaloid containing species as a food supplement (‘botanical’) is linked to its abundance. GBIF is a useful tool for assessing the druggability of a compound from a certain source species. The success of any development programme from natural sources must take sustainable sourcing into account right from the start.
Journal Article
Nanotwinning-assisted dynamic recrystallization at high strains and strain rates
Grain refinement is a widely sought-after feature of many metal production processes and frequently involves a process of recrystallization. Some processing methods use very high strain rates and high strains to refine the grain structure into the nanocrystalline regime. However, grain refinement processes are not clear in these extreme conditions, which are hard to study systematically. Here, we access those extreme conditions of strain and strain rate using single copper microparticle impact events with a laser-induced particle impact tester. Using a combined dictionary-indexing electron backscatter diffraction and scanning transmission electron microscopy approach for postmortem characterization of impact sites, we systematically explore increasing strain levels and observe a recrystallization process that is facilitated by nanotwinning, which we term nanotwinning-assisted dynamic recrystallization. It achieves much finer grain sizes than established modes of recrystallization and therefore provides a pathway to the finest nanocrystalline grain sizes through extreme straining processes.
Extreme mechanical deformation processes can lead to nanograins in many metals, but the underlying mechanism remains unclear. Nanotwinning-assisted dynamic recrystallization is shown to facilitate grain refinement to the nanoscale at high strains and strain rates.
Journal Article
ECG Classification Using Orthogonal Matching Pursuit and Machine Learning
Health monitoring and related technologies are a rapidly growing area of research. To date, the electrocardiogram (ECG) remains a popular measurement tool in the evaluation and diagnosis of heart disease. The number of solutions involving ECG signal monitoring systems is growing exponentially in the literature. In this article, underestimated Orthogonal Matching Pursuit (OMP) algorithms are used, demonstrating the significant effect of concise representation parameters on improving the performance of the classification process. Cardiovascular disease classification models based on classical Machine Learning classifiers were defined and investigated. The study was undertaken on the recently published PTB-XL database, whose ECG signals were previously subjected to detailed analysis. The classification was realized for class 2, class 5, and class 15 cardiac diseases. A new method of detecting R-waves and, based on them, determining the location of QRS complexes was presented. Novel aggregation methods of ECG signal fragments containing QRS segments, necessary for tests for classical classifiers, were developed. As a result, it was proved that ECG signal subjected to algorithms of R wave detection, QRS complexes extraction, and resampling performs very well in classification using Decision Trees. The reason can be found in structuring the signal due to the actions mentioned above. The implementation of classification issues achieved the highest Accuracy of 90.4% in recognition of 2 classes, as compared to less than 78% for 5 classes and 71% for 15 classes.
Journal Article