scholarly journals Quantifying supply chain food loss in China with primary data: A large-scale, field-survey based analysis for staple food, vegetables, and fruits

2022 ◽  
Vol 177 ◽  
pp. 106006
Author(s):  
Shijun Lu ◽  
Guangyan Cheng ◽  
Tai Li ◽  
Li Xue ◽  
Xiaojie Liu ◽  
...  
1968 ◽  
Vol 114 (517) ◽  
pp. 1575-1587 ◽  
Author(s):  
L. S. Gillis ◽  
J. B. Lewis ◽  
M. Slabbert

The Coloured people of the Cape Peninsula have evolved over three hundred years as a demarcated ethnic group with recognizable physical features and characteristic cultural and social conditions. As such they constitute a very satisfactory population for epidemiological and transcultural studies, and when the need arose to plan for improved psychiatric services, a large-scale field survey of the prevalence and types of mental illness was set afoot. Since socio-economic circumstances appear to be very relevant to the amount and type of mental illness in a community, special estimations of these were also made. Random sampling of the entire population of Coloured persons over 20 years of age in the magisterial area of the Cape Peninsula was done and 500 of a total population of 200,365 people were interviewed about their mental and physical health, as well as a variety of economic and social circumstances, by a team of three psychiatrists and 14 specially trained social workers. In addition, interviews were held with reliable persons who knew each respondent, such as ministers of religion, social workers, housing managers, nurses, doctors, friends, relations, and employers. Hospital records were consulted as necessary, and the information was evaluated for each respondent by a team of three psychiatrists. The data were coded and finally exposed to an extensive computer and statistical analysis.


2020 ◽  
Author(s):  
Digvijay S. Negi ◽  
Anjani Kumar ◽  
Pratap S. Birthal ◽  
Gaurav Tripathi

2018 ◽  
Vol 85 (2) ◽  
pp. 116-121
Author(s):  
Koji Numaguchi ◽  
Tomoaki Takeda ◽  
Yasuhisa Tsuchida ◽  
Ryoji Nakaune

2010 ◽  
Author(s):  
Julia Levashina ◽  
Frederick P. Morgeson ◽  
Michael A. Campion

2010 ◽  
Vol 108-111 ◽  
pp. 1158-1163 ◽  
Author(s):  
Peng Cheng Nie ◽  
Di Wu ◽  
Weiong Zhang ◽  
Yan Yang ◽  
Yong He

In order to improve the information management of the modern digital agriculture, combined several modern digital agriculture technologies, namely wireless sensor network (WSN), global positioning system (GPS), geographic information system (GIS) and general packet radio service (GPRS), and applied them to the information collection and intelligent control process of the modern digital agriculture. Combining the advantage of the local multi-channel information collection and the low-power wireless transmission of WSN, the stable and low cost long-distance communication and data transmission ability of GPRS, the high-precision positioning technology of the DGPS positioning and the large-scale field information layer-management technology of GIS, such a hybrid technology combination is applied to the large-scale field information and intelligent management. In this study, wireless sensor network routing nodes are disposed in the sub-area of field. These nodes have GPS receiver modules and the electric control mechanism, and are relative positioned by GPS. They can real-time monitor the field information and control the equipment for the field application. When the GPS position information and other collected field information are measured, the information can be remotely transmitted to PC by GPRS. Then PC can upload the information to the GIS management software. All the field information can be classified into different layers in GIS and shown on the GIS map based on their GPS position. Moreover, we have developed remote control software based on GIS. It can send the control commands through GPRS to the nodes which have control modules; and then we can real-time manage and control the field application. In conclusion, the unattended automatic wireless intelligent technology for the field information collection and control can effectively utilize hardware resources, improve the field information intelligent management and reduce the information and intelligent cost.


2013 ◽  
Vol 38 ◽  
pp. 1-15 ◽  
Author(s):  
Ahmet Demir ◽  
Mustafa Laman ◽  
Abdulazim Yildiz ◽  
Murat Ornek

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