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| 1 | Statistical Analysis of Regularity of Pesticide Residues in Vegetables Produced in Inner Mongoli显示文摘[Objective]The paper was to study regularity of pesticide residues in vegetables produced in Inner Mongolia.[Method]Mathematical statistic analysis was carried out on 6 800 samples of veggies,fruits,leguminous vegetables,nuts and seeds produced in Inner Mongolia.[Result]The dominated vegetables in Inner Mongolia were green leafy vegetables,solanaceous vegetables and melon vegetables,and their yields accounted for 70%of the total vegetables production.Since 2003,with the rapid increase of detected vegetable numbers,the status of vegetable quality safety had entered into a new stage of sustainable steady after a rapid decline or periodic fluctuation,and the differences in safety levels were obvious,of which the range of exceeding standard rate of pesticide residues in solanaceous vegetables,melon vegetables and leguminous vegetables(about 55%of the total vegetables)was under 2%,with average values of 1.1%,1.6%and 3.1%,respectively.They belonged to stable type.The exceeding standard rate of pesticide residues in green leafy vegetables and Chinese cabbage group(about 30%of total vegetables)presented a decreasing trend year by year,wondering in the range of 7%-10%.They belonged to main risk type.The time period of exceeding standard of pesticide residues in root vegetables and cole vegetables was under predictable,and its exceeding standard rate in some years was over 5%(amplitude variation is over 15percentage points).They belonged to random risk type.The kinds of pesticides,which exceeding standard rate in vegetables were relatively intensive,presented variance in different vegetable species.70%of the pesticides belonged to intermittent over-limits and the probability was below 5%.About 20%tradition pesticides often exceeded standard and their probabilities were over 30%.The exceeding standard of organophosphorus and carbamates pesticides in vegetables presented a decreasing tend,while the risk of some new pesticides containing nitrogen element and high effective pyrethroids showed an increasing tendency.[Conclusion]The paper provided decision making services for agricultural management departments. | Fujin ZHANG Dekun HOU Jiang HE Tianyun GAO Hong LUO Songyan LANG Xinxin ZHANG Yiping YAO | 2013 | Agricultural Science & Technology2013，14，10： | 2 |
| 2 | An adjustable multi-color detector based on regulating TiO_(2)surface adsorption and multi-junction synergy显示文摘A TiO_(2)-based multi-color photodetector with controlled photoelectric response to ultraviolet(UV)and visible light is developed by using band regulation technologies such as multi-junction synergy and surface adsorption.This photodetector is manufactured via a continuous process including magnetron sputtering,hydrothermal growth,hydrogen annealing,spin coating and thermal evaporation assembly to form a structure of N-doped TiO_(2)/hydrogenated-TiO_(2)/p-Si heterojunction.These synergistic effects form electronic potential wells in the device to control the electrical transport and spectral response of photo-generated carriers.In the air,the device exhibits a controllable photodetection ability that responds to visible light at positive voltages and UV light at negative voltages.But in vacuum(<0.1 Pa),the photodetection ability of the device at negative voltages is greatly reduced due to the lack of barrier effect caused by surface adsorption.On the contrary,the photodetection ability at positive voltage(e.g.,4 V)has been greatly improved,and the quantum efficiency reaches 206.6%under the 480 nm wavelength light.The device has a controllable ability to detect UV and visible light depending on the environments,which is very useful in the fields of environmental detection,chemical sensing and multi-color communication,etc. | Tao Ji Shuqing He Fujin Ai Jianghong Wu Li Yan Junqing Hu Meiyong Liao | 2021 | Nano Research2021，14，10： | 1 |
| 3 | Advances in Deep Learning-Based Medical Image Analysis显示文摘Importance.With the booming growth of artificial intelligence(AI),especially the recent advancements of deep learning,utilizing advanced deep learning-based methods for medical image analysis has become an active research area both in medical industry and academia.This paper reviewed the recent progress of deep learning research in medical image analysis and clinical applications.It also discussed the existing problems in the field and provided possible solutions and future directions.Highlights.This paper reviewed the advancement of convolutional neural network-based techniques in clinical applications.More specifically,state-ofthe-art clinical applications include four major human body systems:the nervous system,the cardiovascular system,the digestive system,and the skeletal system.Overall,according to the best available evidence,deep learning models performed well in medical image analysis,but what cannot be ignored are the algorithms derived from small-scale medical datasets impeding the clinical applicability.Future direction could include federated learning,benchmark dataset collection,and utilizing domain subject knowledge as priors.Conclusion.Recent advanced deep learning technologies have achieved great success in medical image analysis with high accuracy,efficiency,stability,and scalability.Technological advancements that can alleviate the high demands on high-quality large-scale datasets could be one of the future developments in this area. | Xiaoqing Liu Kunlun Gao Bo Liu Chengwei Pan Kongming Liang Lifeng Yan Jiechao Ma Fujin He Shu Zhang Siyuan Pan Yizhou Yu | 2021 | Health Data Science2021，，1： | 0 |
| 4 | ANALYSIS ON 186 CASES OF SCIATICA TREATED BY ACUPUNCTURE WITH THE BALANCE OF THE HUMAN BODY AS A WHOLE显示文摘This article introduces 186 cases of sciatica treated by acupuncture with thebalance of the human body as a whole.Jianzhen(SI 9)was selected as the main acupoint.Atthe same time,Fengchi(GB 20)or Dazhui(GV14)was selected as the pressing point.Therewas statistically significant difference(p<0.001)between the treatment group and the othertwo control groups.In the result,147 cases were basically cured.28 markedly improved,5improved and the total effective rate was 97.31%. | Wang Wenyuan Wei Suying He Yinzhou Chen Jinluan Depatrment of Acupuncture—Moxibustion,292 Hospital of PLA,Beijing,ChinaZhang Pong Zhang Ping Huguosi Hospital of TCM,Beijing,ChinaDi Fujin China Academy of TCM,Beijing,ChinaFeng Taichang General Hospital of Armed Police,Beijing,China | 1992 | World Journal of Acupuncture-Moxibustion1992，2，3： | 0 |
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