The Standards for Drinking Water Quality of China(2022 Edition)Will Take Effect

Safe drinking water is a valuable public health resource that affects people’s livelihood and is essential for human health,making it an international concern for drinking water quality improvement.The Standards for Drinking Water Quality of China(China SDWQ)is a legal document approved and issued by the Standardization Administration of the People’s Republic of China that serves as a starting point for protecting public health and ensuring the quality of human life.There are three versions of China SDWQ,including the 1985 edition,2006 edition,and 2022 edition.China SDWQ(2022 edition)sets a wide variety of indices covering biological,chemical,physical,and other risk factors in drinking water.Additionally,it establishes management requirements for the entire water supply process,providing a technical basis and criteria for ensuring drinking water safety and a scientific basis for developing drinking water safety policies and proposing targeted public health protection measures.

To What Extent Does Corporate Investment Benefit from the Firm's Financial Activities?

The impressive development of China's economy over the past few decades has enabled non-financial firms to adopt financial investment in exchange for enhanced financing behavior and short-term profit(shareholder value)maximization,while the persistence of fixed investment leading to dramatic capital accumulation has spurred the nation's rapid economic growth.The existing literature has extensive discussions on the crowd-out effect of financial activities on non-financial firms'fixed investment but overlooks to what extent and under what forces financial activities potentially benefit real investment.This paper investigates whether profits from financial activities have an inverted U-shape relationship with firms'fixed investment.In particular,we aim to identify if the benefit of financial profit on fixed investment is through the financial constraint channel and/or ownership structure channel for Chinese-listed firms from 2003 to 2018.We present robust evidence to support the inverted U-shape relationship between financial profit and fixed investment for the whole sample of firms as well as the split samples of firms(SOEs and non-SOEs).Moreover,among all channels including cash flow,debt financing,managerial shareholding,ownership concentration,and state ownership,this research documents that financial profit mainly benefits firms by reducing debt burden.Firms with concentrated ownership and strong state shareholding are also more likely to crowd-out real investment or potentially alleviate overinvestment.Nevertheless,non-SOEs are more prone to benefit from financial profits by reducing the debt overhang problem than SOEs,whereas ownership concentration for SOEs non-increments the crowd-out effect.

赤芍总苷纳米混悬剂的制备、表征及药动学评价（英文）

赤芍总苷是从赤芍中得到的有效部位,它具有许多的生物学活性。然而,由于其溶解性差,生物利用度也非常低,使其应用受到限制。本研究将赤芍总苷制备成纳米混悬剂以增加溶解度,提高其口服生物利用度。采用沉淀-高压均质法制备赤芍总苷纳米混悬剂。用动态光散射法(DLS)测定其粒径、Zeta电位分别为(210.2±2.5)nm,(–22.4±1.2)mV。差示扫描量热图(DSC)结果显示,TPG在混悬剂中呈晶体状态,晶型并未改变。透射电镜(TEM)结果表明赤芍总苷纳米混悬剂呈球状晶体。采用液相色谱串联质谱法(LC-MS/MS)测定赤芍总苷纳米混悬剂在大鼠体内药物动力学参数,与赤芍总苷混悬液组药物动力学数据相比,AUC_(0–∞)明显增大(约1.85倍),表明赤芍总苷纳米混悬剂可以提高赤芍总苷的生物利用度,是一种很有前景的给药体系。

A survey of music emotion recognition

Music is the language of emotions.In recent years,music emotion recognition has attracted widespread attention in the academic and industrial community since it can be widely used in fields like recommendation systems,automatic music composing,psychotherapy,music visualization,and so on.Especially with the rapid development of artificial intelligence,deep learning-based music emotion recognition is gradually becoming mainstream.This paper gives a detailed survey of music emotion recognition.Starting with some preliminary knowledge of music emotion recognition,this paper first introduces some commonly used evaluation metrics.Then a three-part research framework is put forward.Based on this three-part research framework,the knowledge and algorithms involved in each part are introduced with detailed analysis,including some commonly used datasets,emotion models,feature extraction,and emotion recognition algorithms.After that,the challenging problems and development trends of music emotion recognition technology are proposed,and finally,the whole paper is summarized.

Human-Machine Shared Lateral Control Strategy for Intelligent Vehicles Based on Human Driver Risk Perception Reliability

Intelligent vehicle(Ⅳ)technology has developed rapidly in recent years.However,achieving fully unmanned driving still presents numerous challenges,which means that human drivers will continue to play a vital role in vehicle operation for the foreseeable future.Human-machine shared driving,involving cooperation between a human driver and an automated driving system(AVS),has been widely regarded as a necessary stage for the development of IVs.Focusing onⅣdriving safety,this study proposed a human-machine shared lateral control strategy(HSLCS)based on the reliability of driver risk perception.The HSLCS starts by identifying the effective areas of driver risk perception based on eye movements.It establishes an anisotropic driving risk field,which serves as the foundation for the AVS to assess risk levels.Building upon the cumulative and diminishing effects of risk perception,the proposed approach leverages the driver's risk perception effective area and converts the risk field into a representation aligned with the driver's perspective.Subsequently,it quantifies the reliability of the driver's risk perception by using area-matching rules.Finally,based on the driver’s risk perception reliability and dif-ferences in lateral driving operation between the human driver and the AVS,the dynamic distribution of driving authority is achieved through a fuzzy rule-based system,and the human-machine shared lateral control is completed by using model predictive control.The HSLCS was tested across various scenarios on a driver-in-the-loop test platform.The results show that the HSLCS can realize the synergy and complementarity of human and machine intelligence,effectively ensuring the safety ofⅣoperation.