Rhodamine B in spices determined by a sensitive UPLC-MS/MS method

Rhodamine B (RhB) is a banned food additive and has been classified as illegal colourant. Therefore, the risk of RhB contamination should be strictly monitored. In this study, a sensitive UPLC-MS/MS method was applied to monitor RhB in 292 various spices such as chilli, pepper and tomato products. The results showed 22.7% of chilli powder samples, 18.5% of pepper powder samples, 11.1% of chilli oil samples and 9.1% of pepper oil samples were contaminated with RhB. Chilli powder contained RhB up to 44,935 μg/kg with an average of 743 μg/kg, pepper powder up to 65.9 μg/kg with an average of 4.1 μg/kg, chilli oil up to 14.6 μg/kg with an average of 1.0 μg/kg and pepper oil up to 1.1 μg/kg with an average of 0.2 μg/kg, respectively. Considering the common consumption of chilli products and pepper products by so many consumers, RhB exposure is significant and should be decreased.     

再论强化规划行政执法中的责令停止建设措施——兼与李世峰先生商榷

针对对《将违法建设遏制在萌芽状态》一文的不同看法 ,多角度地论证了强化规划行政执法中的责令停止建设措施这一主题的理论和实践依据 ,以期引起各界对此问题的重视。     

Hate speech on social media networks: towards a regulatory framework?

Social networks serve as effective platforms in which users’ ideas can be spread in an easy and efficient manner. However, those ideas can be hateful and harmful, some of which may even amount to hate speech. YouTube, Facebook and Twitter have internal regulatory policies in relation to hate speech and have signed a Code of Conduct on the regulation of illegal hate speech with the European Commission. This paper looks at the issue of tackling hate speech on social networks and argues that, notwithstanding the weaknesses of internal policies and their implementation, their existence, as facilitated by the Code of Conduct, serves as a light at the end of the Internet hate tunnel where issues of multiple jurisdictions as well as technological realities, such as mirror sites and more, have resulted in the task of online regulation being more than a daunting one.     

“互联网+”非法集资犯罪的治理困境与出路研究

“互联网+”背景下,网络上兴起的各种借贷、众筹、支付平台为非法集资提供了极大便利,突破了传统现金流集资交易模式和时空壁垒,席卷了民间资本市场,给投资者和普通民众带来惨重损失。目前,“互联网+”非法集资犯罪主要存在“发现困境”“取证困境”“维稳困境”三大治理困境,为此应构建“线上+线下”双重取证思维,建立专门情报信息平台、多部门联动的预警系统,提高“云收集”证据能力并重视涉案财产的处置问题。     

高效液相色谱法测定减肥类保健品中非法添加剂

通过用高效液相色谱法建立减肥类保健产品中非法添加剂盐酸西布曲明、酚酞、比沙可啶及布美他尼4种减肥化学成分的快速检验方法。本法盐酸西布曲明含量在0.6156~7.6950μg间具有良好的线性关系(R=1.0000),平均回收率为100.82%,RSD为0.29%(n=6);酚酞含量在0.2166~2.7075μg间具有良好的线性关系(R=0.9999),平均回收率为100.30%,RSD为0.16%(n=6);比沙可啶含量在0.4368~5.46μg间具有良好的线性关系(R=0.9999),平均回收率为99.26%,RSD为0.28%(n=6);布美他尼含量在0.4208~5.26μg间具有良好的线性关系(R=1.0000),平均回收率为100.46%,RSD为0.17%(n=6)。     

车用汽油中非法添加物检测方法研究进展

介绍了车用汽油中常见的非法添加物以及其带来的危害,综述了国内近三年车用汽油中常见的非法添加物的定性定量分析方法,其中包括气相色谱法、二维气相色谱法、气相色谱-质谱联用法、中红外光谱法等法,以期为今后车用汽油中违规添加国家车用汽油标准中禁止人为加入的有害添加物提供检验方法和限制值。     

Rapid and Sensitive Identification of the Herbal Tea Ingredient Taraxacum formosanum Using Loop-Mediated Isothermal Amplification

Taraxacum formosanum (TF) is a medicinal plant used as an important component of health drinks in Taiwan. In this study, a rapid, sensitive and specific loop-mediated isothermal amplification (LAMP) assay for authenticating TF was established. A set of four specific LAMP primers was designed based on the nucleotide sequence of the internal transcribed spacer 2 (ITS2) nuclear ribosomal DNA (nrDNA) of TF. LAMP amplicons were successfully amplified and detected when purified genomic DNA of TF was added in the LAMP reaction under isothermal condition (65 °C) within 45 min. These specific LAMP primers have high specificity and can accurately discriminate Taraxacum formosanum from other adulterant plants; 1 pg of genomic DNA was determined to be the detection limit of the LAMP assay. In conclusion, using this novel approach, TF and its misused plant samples obtained from herbal tea markets were easily identified and discriminated by LAMP assay for quality control.     

SSD Real-Time Illegal Parking Detection Based on Contextual Information Transmission

With the improvement of the national economic level, the number of vehicles is still increasing year by year. According to the statistics of National Bureau of Statics, the number is approximately up to 327 million in China by the end of 2018, which makes urban traffic pressure continues to rise so that the negative impact of urban traffic order is growing. Illegal parking-the common problem in the field of transportation security is urgent to be solved and traditional methods to address it are mainly based on ground loop and manual supervision, which may miss detection and cost much manpower. Due to the rapidly developing deep learning sweeping the world in recent years, object detection methods relying on background segmentation cannot meet the requirements of complex and various scenes on speed and precision. Thus, an improved Single Shot MultiBox Detector (SSD) based on deep learning is proposed in our study, we introduce attention mechanism by spatial transformer module which gives neural networks the ability to actively spatially transform feature maps and add contextual information transmission in specified layer. Finally, we found out the best connection layer in the detection model by repeated experiments especially for small objects and increased the precision by 1.5% than the baseline SSD without extra training cost. Meanwhile, we designed an illegal parking vehicle detection method by the improved SSD, reaching a high precision up to 97.3% and achieving a speed of 40FPS, superior to most of vehicle detection methods, will make contributions to relieving the negative impact of illegal parking.     

企业VoIP安全及其建议

模拟声音讯号数字化（VOIP）技术作为下一代通信技术之一,其安全问题很早就提出来了,但很多企业却没有在部署VoIP系统时给予应有的重视。很多配置网络电话的大中型企业中,都没有采取适当的安全措施。分析了VoIP受到的来自各方面的安全威胁,并针对安全威胁,讨论了相应的安全对策,同时对企业VoIP的安全防范问题,给出了相应的建议。     

基于机器鱼的违规排污口定位方法

为解决违规排污口的侦测和定位的问题,本文使用机器鱼作为传感器的城体对违规排污口排放的污染物质进行检测分析,结合污染物的扩散模型对污染物浓度场进行分析并对排污阴进行定位。论文对违规排污侦测机器鱼所需的功能进行了分析,并根据分析结果对机器鱼的机械机构和内部电路结构进行设计,使用机器鱼结合污染物的扩散模型的方法设计出违规排污口的追踪定位方法,并对机器鱼和追踪算法进行实际测试,通过实际测试表明了设计的正确性。