Bulletin PDF Download
Are you looking for read ebook online? Search for your book and save it on your Kindle device, PC, phones or tablets. Download Bulletin PDF full book. Access full book title Bulletin by . Download full books in PDF and EPUB format.
Author:
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 1008
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 1008
Get Book Here
Book Description
Author: U.S. Bureau of plant industry
Publisher:
ISBN:
Category : Plants
Languages : en
Pages : 102
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 612
Get Book Here
Book Description
Author:
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 964
Get Book Here
Book Description
Author: Xijun Yan
Publisher: Springer
ISBN: 9401794693
Category : Medical
Languages : en
Pages : 234
Get Book Here
Book Description
This book reviews research on Dan Shen, compiles data from clinical trials and biological experiments, and summarizes the latest research advances. It covers the medicinal herb, herbal pieces, and new proprietary drugs that contain it; it also covers simple and compound, traditional and contemporary formulas, and addresses a broad range of subjects, including: standardized cultivation; biodiversity; effective substances and their biological activities; quality control; and clinical trials. The book goes on to present the clinical trials on Dantonic, especially focusing on its therapeutic effects for coronary heart disease. It discusses compound prescriptions and compatibilities, from the herbal piece level to composition level, and describes approaches to research on modern Chinese medicine. Volume 1 describes the biology and chemistry of Dan Shen, while Volume 2 focuses on pharmacology and quality control. Volume 3 describes the clinical research on Dan Shen. Editor Xijun Yan is the President of Tianjin Tasly Group and a Member of the TCM Standardization Technical Committee. Gathering contributions from more than 100 authors working in the field of pharmaceutical and clinical research, the book presents and analyzes the available information from multiple aspects, reflects the current status of Dan Shen research, and offers an essential reference work for further research and development.
Author: Maliheh Eftekhari
Publisher: Frontiers Media SA
ISBN: 2832549713
Category : Science
Languages : en
Pages : 246
Get Book Here
Book Description
Artificial Intelligence (AI) is an extensive concept that can be interpreted as a concentration on designing computer programs to train machines to accomplish functions like or better than hu-mans. An important subset of AI is Machine Learning (ML), in which a computer is provided with the capacity to learn its own patterns instead of the patterns and restrictions set by a human programmer, thus improving from experience. Deep Learning (DL), as a class of ML techniques, employs multilayered neural networks. The application of AI to plant science research is new and has grown significantly in recent years due to developments in calculation power, proficien-cies of hardware, and software progress. AI algorithms try to provide classifications and predic-tions. As applied to plant breeding, particularly omics data, ML as a given AI algorithm tries to translate omics data, which are intricate and include nonlinear interactions, into precise plant breeding. The applications of AI are extending rapidly and enhancing intensely in sophistication owing to the capability of rapid processing of huge and heterogeneous data. The conversion of AI techniques into accurate plant breeding is of great importance and will play a key role in the new era of plant breeding techniques in the coming years, particularly multi-omics data analysis. Advancements in plant breeding mainly depend upon developing statistical methods that harness the complicated data provided by analytical technologies identifying and quantifying genes, transcripts, proteins, metabolites, etc. The systems biology approach used in plant breeding, which integrates genomics, transcriptomics, proteomics, metabolomics, and other omics data, provides a massive amount of information. It is essential to perform accurate statistical analyses and AI methods such as ML and DL as well as optimization techniques to not only achieve an understanding of networks regulation and plant cell functions but develop high-precision models to predict the reaction of new Genetically Modified (GM) plants in special conditions. The constructed models will be of great economic importance, significantly reducing the time, labor, and instrument costs when finding optimized conditions for the bio-exploitation of plants. This Research Topic covers a wide range of studies on artificial intelligence-assisted plant breeding techniques, which contribute to plant biology and plant omics research. The relevant sub-topics include, but are not restricted to, the following: • AI-assisted plant breeding using omics and multi-omics approaches • Applying AI techniques along with multi-omics to recognize novel biomarkers associated with plant biological activities • Constructing up-to-date ML modeling and analyzing methods for dealing with omics data related to different plant growth processes • AI-assisted omics techniques in the plant defense process • Combining AI-assisted omics and multi-omics techniques using plant system biology approaches • Combining bioinformatics tools with AI approaches to analyze plant omics data • Designing cutting-edge workflow and developing innovative AI biology methods for omics data analysis
Author: Christian Huck
Publisher: MDPI
ISBN: 303928052X
Category : Science
Languages : en
Pages : 496
Get Book Here
Book Description
In the last few decades, near-infrared (NIR) spectroscopy has distinguished itself as one of the most rapidly advancing spectroscopic techniques. Mainly known as an analytical tool useful for sample characterization and content quantification, NIR spectroscopy is essential in various other fields, e.g. NIR imaging techniques in biophotonics, medical applications or used for characterization of food products. Its contribution in basic science and physical chemistry should be noted as well, e.g. in exploration of the nature of molecular vibrations or intermolecular interactions. One of the current development trends involves the miniaturization and simplification of instrumentation, creating prospects for the spread of NIR spectrometers at a consumer level in the form of smartphone attachments—a breakthrough not yet accomplished by any other analytical technique. A growing diversity in the related methods and applications has led to a dispersion of these contributions among disparate scientific communities. The aim of this Special Issue was to bring together the communities that may perceive NIR spectroscopy from different perspectives. It resulted in 30 contributions presenting the latest advances in the methodologies essential in near-infrared spectroscopy in a variety of applications.
Author: Ohio State Horticultural Society
Publisher:
ISBN:
Category : Horticulture
Languages : en
Pages : 588
Get Book Here
Book Description
Author: Ohio State Horticultural Society
Publisher:
ISBN:
Category : Horticulture
Languages : en
Pages : 336
Get Book Here
Book Description
Author: Ohio State Horticultural Society
Publisher:
ISBN:
Category : Agriculture
Languages : en
Pages : 752
Get Book Here
Book Description
