Search scope:
排序: Display mode:
Jan Pieter VAN DER BERG, Gijs A. KLETER, Evy BATTAGLIA, Martien A. M. GROENEN, Esther J. KOK
Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 2, Pages 136-147 doi: 10.15302/J-FASE-2019306
Keywords: cattle food safety gene editing genetic modification GMO detection regulation
Regulatory issues for genetically modified animals
Perry Bradbury HACKETT
Frontiers of Agricultural Science and Engineering 2020, Volume 7, Issue 2, Pages 188-203 doi: 10.15302/J-FASE-2019307
Precision genetics and breeding have the potential to meet the agricultural needs and goals of the world in the 21st century. These needs include increasing the efficiency of production of animals and improving their products with minimal impact on the environment. The USA is the major innovator in genomic science and the acknowledged leader in formulating policies to regulate genetic applications in medicine and agriculture. However, governments worldwide have been exceedingly reluctant to support the introduction of genetically modified (GM) animals into agriculture. Regulatory policies have stagnated due to legal guidelines that could not anticipate the needs and solutions that are evident today. This must change if we are to maintain planetary integrity. I propose a new, market-based regulatory model for GM livestock that has both a strong scientific foundation and has worked for 10000 years. The model is similar to that for information technology in which specific algorithms drive computer and cell phone applications. Genome engineers write genetic algorithms that drive the traits in biological organisms. Accordingly, GM products should be viewed in terms of their use and public benefit rather than by limitations to the genetic programing coming from a few highly vocal groups. Genetic algorithms (Genapps) of the 21st century will include not only introduction of synthetic genes, but also complete natural and synthetic biochemical pathways to produce agricultural products that are maximally efficient, healthy to humans and animals, and sustainable in an era of changing climates while avoiding environmental degradation.
Keywords: algorithms editing FDA GMO recombinant DNA USDA
The Industry of Genetic Engineering
Shi Yuanchun
Strategic Study of CAE 2000, Volume 2, Issue 7, Pages 34-38
Keywords: genetic engineering industry gene modified organisms (GMO) countermeasure
Pest management with biopesticides
James N. SEIBER, Joel COATS, Stephen O. DUKE, Aaron D. GROSS
Frontiers of Agricultural Science and Engineering 2018, Volume 5, Issue 3, Pages 295-300 doi: 10.15302/J-FASE-2018238
Biopesticides are attracting interest as alternatives to conventional pesticides but without many of the non-target effects, promising a better record of safety and sustainability in pest control practices. In this article we summarize and discuss the current status and future promise of biopesticides, including how biopesticides use may increase the quality and safety of the food supply.
Keywords: biopesticide GMO crops pest management
Pedro PONCE, Therese PEFFER, Arturo MOLINA
Frontiers in Energy 2019, Volume 13, Issue 3, Pages 522-538 doi: 10.1007/s11708-018-0562-2
Keywords: thermostats perceptions beliefs signal detection theory (SDT) fuzzy signal detection theory (FSDT) chi-square
Advances in airborne microorganisms detection using biosensors: A critical review
Frontiers of Environmental Science & Engineering 2021, Volume 15, Issue 3, doi: 10.1007/s11783-021-1420-8
Keywords: Biosensor Airborne microorganisms Microbiological detection technology
Recent advances in SERS detection of perchlorate
Jumin Hao, Xiaoguang Meng
Frontiers of Chemical Science and Engineering 2017, Volume 11, Issue 3, Pages 448-464 doi: 10.1007/s11705-017-1611-9
Keywords: perchlorate SERS detection substrate modification nanostructure
Frontiers of Environmental Science & Engineering 2022, Volume 16, Issue 3, doi: 10.1007/s11783-021-1472-9
• A spectral machine learning approach is proposed for predicting mixed antibiotic.
Keywords: Antibiotic contamination Spectral detection Machine learning
Development of Pulsed Radiation Detection Technology
Ouyang Xiaoping
Strategic Study of CAE 2008, Volume 10, Issue 4, Pages 44-55
Keywords: fission reaction fusion reaction pulse radiation detection detecting system neutron detection gamma-raydetection
Edge detection of steel plates at high temperature using image measurement
Qiong Zhou, Qi An
Frontiers of Mechanical Engineering 2009, Volume 4, Issue 1, Pages 77-82 doi: 10.1007/s11465-009-0013-1
Keywords: thermal expansion image measurement edge detection image calibration
Machine vision-based automatic fruit quality detection and grading
Frontiers of Agricultural Science and Engineering doi: 10.15302/J-FASE-2023532
● A machine vision-based prototype system was developed for fruit grading.
Keywords: Computer and machine vision convolution neural network deep learning defective fruit detection fruit
Experimental and numerical study on microcrack detection using contact nonlinear acoustics
Xiaojia CHEN, Yuanlin WANG
Frontiers of Structural and Civil Engineering 2009, Volume 3, Issue 2, Pages 137-141 doi: 10.1007/s11709-009-0028-z
Keywords: microcrack detection contact nonlinearity numerical analysis
Digital image correlation-based structural state detection through deep learning
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 1, Pages 45-56 doi: 10.1007/s11709-021-0777-x
Keywords: structural state detection deep learning digital image correlation vibration signal steel frame
Damage detection in beam-like structures using static shear energy redistribution
Frontiers of Structural and Civil Engineering 2022, Volume 16, Issue 12, Pages 1552-1564 doi: 10.1007/s11709-022-0903-4
Keywords: damage detection beam structure strain energy static displacement variation energy damage index
Fast detection algorithm for cracks on tunnel linings based on deep semantic segmentation
Frontiers of Structural and Civil Engineering 2023, Volume 17, Issue 5, Pages 732-744 doi: 10.1007/s11709-023-0965-y
Keywords: tunnel engineering crack segmentation fast detection DeepLabv3+ feature fusion attention mechanism
Title Author Date Type Operation
Developments in genetic modification of cattle and implications for regulation, safety and traceability
Jan Pieter VAN DER BERG, Gijs A. KLETER, Evy BATTAGLIA, Martien A. M. GROENEN, Esther J. KOK
Journal Article
Pest management with biopesticides
James N. SEIBER, Joel COATS, Stephen O. DUKE, Aaron D. GROSS
Journal Article
Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico
Pedro PONCE, Therese PEFFER, Arturo MOLINA
Journal Article
A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning
Journal Article
Edge detection of steel plates at high temperature using image measurement
Qiong Zhou, Qi An
Journal Article
Experimental and numerical study on microcrack detection using contact nonlinear acoustics
Xiaojia CHEN, Yuanlin WANG
Journal Article