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Development of a target recognition and following system for a field robot
In: Computers and Electronics in Agriculture, Band 98, S. 17-24
ODL Net: Object detection and location network for small pears around the thinning period
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Band 212, S. 108115
SSRN
Are "Internet+" tactics the key to poverty alleviation in China's rural ethnic minority areas? Empirical evidence from Sichuan Province
China has made great efforts to alleviate poverty in rural ethnic minority areas and targeted achieving the poverty-alleviation task by the end of 2020. Aba, Ganzi, and Liangshan, three of the poorest ethnic prefectures in Sichuan Province, Southwest China, have all implemented "Internet+" tactics since 2013, which have had the positive effect of increasing family revenues by improving communication infrastructure and encouraging the large-scale use of e-commerce. This paper aims to comprehensively investigate whether "Internet+" tactics play a key role in poverty alleviation in Sichuan's rural ethnic minority areas and to propose further measures to enhance the efficiency of e-commerce practice. To this end, we conduct an analysis using the framework of classic growth theory and use panel data from 2000 to 2018 to examine the relationship between Communication Infrastructure Investment (CII) and a set of poverty-alleviation indicators, including local GDP growth rate (LGGR), local government revenue (LGR), and per-capita income of residents (PCIR). The results indicate that strengthening CII improves the PCIR and local economic growth, playing a key role in poverty alleviation. However, the stimulation of CII on LGGR and LGR wanes as time passes. More financial and technical actions will be needed to improve the efficiency and quality of current strategies for sustainable development in those areas.
BASE
FBoT-Net: Focal bottleneck transformer network for small green apple detection
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Band 205, S. 107609
EASS: An automatic steering system for agricultural wheeled vehicles using fuzzy control
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Band 217, S. 108544
SOD head: A network for locating small fruits from top to bottom in layers of feature maps
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Band 212, S. 108133
FoveaMask: A fast and accurate deep learning model for green fruit instance segmentation
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Band 191, S. 106488
Chinese Oil Plants Information System (COPIS): An on-line information store, query and management system for three chinese industrial oil plants
In: Computers and Electronics in Agriculture, Band 90, S. 86-92
SoybeanNet: Transformer-based convolutional neural network for soybean pod counting from Unmanned Aerial Vehicle (UAV) images
In: Computers and electronics in agriculture: COMPAG online ; an international journal, Band 220, S. 108861
ISSN: 1872-7107
Reversed Windshield-Wiper Effect Leads to Failure of Cement-Augmented Pedicle Screw: Biomechanical Mechanism Analysis by Finite Element Experiment
In: HELIYON-D-22-04641
SSRN
Field Trial Assessing the Antimicrobial Decontamination Efficacy of Gaseous Ozone in a Public Bus Setting
In: STOTEN-D-22-26172
SSRN
Evaluation of adverse effects/events of genetically modified food consumption: a systematic review of animal and human studies
In: Environmental sciences Europe: ESEU, Band 34, Heft 1
ISSN: 2190-4715
Abstract
Objective
A systematic review of animal and human studies was conducted on genetically modified (GM) food consumption to assess its safety in terms of adverse effects/events to inform public concerns and future research.
Methods
Seven electronic databases were searched from January 1st 1983 till July 11th 2020 for in vivo, animal and human studies on the incidence of adverse effects/events of GM products consumption. Two authors independently identified eligible studies, assessed the study quality, and extracted data on the name of the periodical, author and affiliation, literature type, the theme of the study, publication year, funding, sample size, target population characteristics, type of the intervention/exposure, outcomes and outcome measures, and details of adverse effects/events. We used the Chi-square test to compare the adverse event reporting rates in articles funded by industry funding, government funding or unfunded articles.
Results
One crossover trial in humans and 203 animal studies from 179 articles met the inclusion criteria. The study quality was all assessed as being unclear or having a high risk of bias. Minor illnesses were reported in the human trial. Among the 204 studies, 59.46% of adverse events (22 of 37) were serious adverse events from 16 animal studies (7.84%). No significant differences were found in the adverse event reporting rates either between industry and government funding (χ2 = 2.286, P = 0.131), industry and non-industry funding (χ2 = 1.761, P = 0.185) or funded and non-funded articles (χ2 = 0.491, P = 0.483). We finally identified 21 GM food-related adverse events involving 7 GM events (NK603 × MON810 maize, GTS 40-3-2 soybean, NK603 maize, MON863 maize, MON810 maize, MON863 × MON810 × NK603 maize and GM Shanyou 63 rice), which had all been on regulatory approval in some countries/regions.
Conclusion
Serious adverse events of GM consumption include mortality, tumour or cancer, significant low fertility, decreased learning and reaction abilities, and some organ abnormalities. Further clinical trials and long-term cohort studies in human populations, especially on GM food-related adverse events and the corresponding GM events, are still warranted. It suggests the necessity of labelling GM food so that consumers can make their own choice.