宁波市流通环节养殖水产品兽药残留情况与风险评估

根据2015—2018年宁波市流通环节养殖水产品中孔雀石绿、氯霉素、硝基呋喃代谢物、喹诺酮类和磺胺类等药物的检测结果,确定4年间水产品中违禁药物和限用药物的残留情况及其严重程度,对存在药物残留风险的养殖水产品进行评价以期发挥安全预警作用。     

净化水产养殖环境对农兽药残留控制的影响

近年来,美国、欧盟、日本等主要水产品进口国对进口食品设置了非常苛刻的检验标准,尤其是对水产品中农兽药残留要求更加严格,使我国水产品出口遭遇了更多的技术贸易壁垒。随着我国水产品的养殖规模逐年扩大和出口数量的不断增加,我国水产品养殖业也面临着新的更严峻的挑战。笔者试图针对国外的农兽药控制的要求,结合我国部分地区水产品养殖的现状,分析可能会造成水产品农兽药残留的内外环境因素,从净化水产养殖小环境着手,提出了一些出境水产品养殖场农兽药残留控制的措施。     

水产品中孔雀石绿残留的风险评估

孔雀石绿一直作为重要的工业原料和治疗水产动物水霉病的有效药物。近年来,由于经其处理的水产品具有高残留毒性,故引起了人们的高度关注。本文从危害鉴定、危害特征描述、暴露评估、风险特征描述等方面综述孔雀石绿在水产品中残留的风险评估。     

LC-MS-MS测定水产品中氯霉素药物残留

[目的]研究水产品中氯霉素药物残留的提取、净化和LC-MS-MS分析条件.[方法]LC-MS-MS和同位素内标法测定水产品中氯霉素药物残留.[结果]该法检测限0.1μg/kg,回收率为95%～110%.[结论]本方法特异性强,样品前处理简单,可以满足各国对水产品中氯霉素检测低限的要求.     

养殖高效又保险 畜禽绿色养殖仪成了“家庭银行”

<正>畜禽绿色养殖仪实现了禽畜高效养殖、有效防治疾病、免除药物残留,畜禽的粪便还可以种植食用菌,可谓一举多得。杀菌防病养殖风险降到最低人们都说"要想发,搞养殖",去年猪肉价格的一路疯长,让养殖业更是成为热点。可是养殖业也存在着诸多风险,例如畜禽疾病、成活率低、养殖方法不当、成本过高等问题,让养殖户们     

水产品中药物残留检测能力验证现状与展望

近年来,伴随着人们生活水平的不断提高,人们对于水产品的需求量越来越大,部分水产品经营者为了追求利益最大化,不惜以牺牲水产品质量为前提。其中水产品药物残留含量超标问题尤为严重,针对该种情况,提升水产品的相应技术检测手段,严格控制水产品中药物残留含量已经变得十分必要。本文将对该方面提出一系列建议,希望能对水产品行业的安全发展有一些帮助。     

水产品质量安全可追溯体系建设探析

在食品安全领域,水产品质量安全是非常重要的组成部分,并且与人们的身体健康息息相关,对社会经济的发展以及稳定产生了一定影响。近年来,水产品食物中毒事件频频发生,水产品因药物残留过多出口被拒的现象比较常见。鉴于此,本文就水产品质量安全可追溯体系建设展开探讨,以期为相关工作提供参考。     

养鸡养菌并行 绿色养殖仪年创收15万

<正>专家团队研制绿色养殖仪高效高产一举两得西安德润生物技术公司是一家专业从事禽畜绿色养殖技术研发、禽畜疾病防治、技术培训的高新技术企业。公司汇聚了一批在禽畜养殖业内具有丰富经验的资深教授和博士,在历经多年的实验过程中,研发出领先国内的高新技术产品——"畜禽绿色养殖仪",为实现禽畜高效养殖、有效防治疾病、免除药物残留,为农民节约成本。增产增收提供了一整套先进技术方案,帮助广大养殖户轻松走上致富之路。     

如何打破出口水产品药物残留的瓶颈

2002年起,我国水产品出口跃居世界首位,约占世界水产品贸易总额的10%.但是,我国出口水产品频频被进口国或地区检出药物残留超标问题,被退货、销毁甚至禁止进口的事件时有发生,造成了巨大的经济损失,严重损害了中国水产品的质量形象,成为扩大我国水产品出口的最大障碍.解决水产品药物残留问题,提高我国水产品安全质量已成当务之急.     

水产品中抗生素残留问题思考

就我国水产品质量中抗生素残留存在及水产品中抗生素产生残留的主要原因进行分析,提出了对我国水产品中抗生素残留如何控制,使我国出口水产品内在品质明显提高,突破国际贸易中的绿色壁垒,增强水产品在国际市场上的综合竞争力。     

纳米技术在聚烯烃中的研究进展

综述了聚烯烃纳米复合材料的优点、使用价值和近年来国内外聚烯烃纳米复合材料的研究进展，并介绍了无机粒子／聚烯烃复合材料和粘土／聚烯烃复合材料，重点阐述了粘土与聚乙烯、聚丙烯纳米复合材料的制备方法及粘土／聚烯烃纳米复合材料插层热力学分析，对目前聚烯烃纳米复合材料存在问题及发展前景进行了探讨。     

Healthy Investments in Investing in Health

This article discusses socially responsible investing (SRI) and tobacco. SRI allows investors, both institutional and individual, to express their concerns and make their social and ethical stands known to the companies they invest in and patronize. The tobacco industry is active in every country on the globe and generates huge profits, while tobacco use is responsible for 4 million deaths every year.The authors explore past and current views on investment in tobacco, partly based on a survey conducted by the Tobacco Free Initiative of the World Health Organization (WHO). There is clearly a trend toward divestment from tobacco for both ethical and financial reasons. Tobacco-free investments can be both ethically sound and financially profitable.     

Developments in Consumer Protection in India

This paper surveys the major developments in the field of consumer protection in India since 1984, when the statutory provisions for regulating unfair trade practices were incorporated for the first time.Among the developments described in the paper is the strengthening of provisions for consumer protection through amendments to the Act regulating restrictive and monopolistic trade practices (the MTRP Act). Public-sector undertakings and co-operative societies have been brought within the purview of the Act, and consumers have obtained the right to participate in inquiry proceedings before the MRTP Commission.Consumers and their associations have been given the right to seek redress of grievances arising out of the violation of certain pieces of legislation, including the Drugs and Cosmetics Act. The Consumer Protection Act, 1986, was enacted in order to provide speedy and inexpensive redress of consumers' grievances. Redress can now be sought before any consumer court also for negligence or deficiency in medical services.The Bureau of Indian Standards Act, 1986, has strengthened the measures for the standardisation and quality control of manufactured goods.A Consumer Welfare Fund has been set up to provide financial assistance to voluntary consumer organisations and for the general development of consumer movement in the country. A spurt in voluntary consumer organisations in different parts of the country can also be observed.Other developments include the establishment of a separate Department of Consumer Affairs in the Union Government and the setting up of a Consumer Product Testing Laboratory.     

关于我国资产证券化若干问题的探讨

资产证券化是一项复杂的金融工具创新,引进和实施这种新型的融资工具需要大量的配套工作。我国实施资产证券化需要解决特设机构的设立、基础资产的选择、破产隔离、信用增级、会计处理、税收政策以及立法和监管等方面的问题。     

Economic Keywords in 2007 in China

RMB exchange rate The exchange rate of Renminbi,the Chinese currency, witnessed an appreciation of around six percent to one U.S. dollar this year. On December 13, the central parity rate stood at RMB 7.3568 against one dollar,according to the Chinese Foreign Exchange Trading System, breaking the 7.36 mark.     

Conflict in Supplier–Retailer Relationships in the Brewery Industry in Cameroon

The authors develop a theoretical framework to explain conflict in supplier–retailer relationships. In addition to traditional influence strategy variables, the framework links conflict to retailer dependence and supplier formalization. The framework is empirically tested in the Cameroonian brewery industry. The findings support the view that channel conflict is inversely related to retailer dependence and supplier formalization. Contrary to expectations, the use of noncoercive influence strategies (information exchange and recommendations) has no significant effect on conflict, while, as expected, the use of coercive influence strategies (threats and promises) increases conflict.     

粤北山区砖园仓储粮机械通风应用研究

在砖园仓机械通风应用试验中,正确运用理论计算,精确得出通风技术数据,依此设计通风系统,结果表明：在实仓运行中,检测的主要技术参数和设计值基本相符,经136h通风,粮温从38℃降至13℃,吨粮降温耗电0.011℃,降温好、电耗低,证明设计方法正确,符合南方稻谷产区,解决了基层普遍存在的砖园仓机械通风盲目设计问题,为规范设计作出了示范,验证了粮层压力正确计算方法。     

Recent advances in reinforcement learning in finance

The rapid changes in the finance industry due to the increasing amount of data have revolutionized the techniques on data processing and data analysis and brought new theoretical and computational challenges. In contrast to classical stochastic control theory and other analytical approaches for solving financial decision-making problems that heavily reply on model assumptions, new developments from reinforcement learning (RL) are able to make full use of the large amount of financial data with fewer model assumptions and to improve decisions in complex financial environments. This survey paper aims to review the recent developments and use of RL approaches in finance. We give an introduction to Markov decision processes, which is the setting for many of the commonly used RL approaches. Various algorithms are then introduced with a focus on value- and policy-based methods that do not require any model assumptions. Connections are made with neural networks to extend the framework to encompass deep RL algorithms. We then discuss in detail the application of these RL algorithms in a variety of decision-making problems in finance, including optimal execution, portfolio optimization, option pricing and hedging, market making, smart order routing, and robo-advising. Our survey concludes by pointing out a few possible future directions for research.