Estimating the value of a statistical life in China: A contingent valuation study in six representative cities

The value of a statistical life(VSL)is a crucial tool for monetizing health impacts.To explore the VSL in China,this study examines people’s willingness to pay(WTP)to reduce death risk from air pollution in six representative cities in China based on face-to-face contingent valuation interviews(n=3936)from March 7,2019 to September 30,2019.The results reveal that the WTP varied from CNY 455 to 763 in 2019(USD 66-111),corresponding to a VSL range of CNY 3.79-6.36 million(USD 549395-921940).The VSL in China in 2019 is estimated to be CNY 4.76 million(USD 689659).The statistics indicate that monthly expenditure levels,environmental concerns,risk attitudes,and assumed market acceptance,which have seldom been dis‐cussed in previous studies,significantly impact WTP and VSL.These findings will serve as a reference for ana‐lyzing mortality risk reduction benefits in future research and for policymaking.

How far have we come?Review of main public policies to reduce landslide impacts in Brazil

During the rainy season in Brazil,landslides can have catastrophic consequences,including loss of life,damage to urban infrastructure and significant economic impacts.Now,more than eight million people in Brazil live in disaster-prone areas.The objective of this article is to present a chronological review of the principal policies and programmes at the national,state,and municipal levels,with an emphasis on their key actions aimed at mitigating the impact of disasters related to natural hazards,particularly landslides.Our analysis was based on official records of public policies from the national,state,and municipal governments.The results show that several initiatives were initially developed at the local and regional level.However,it was not until the late 1980s that a comprehensive organisation of civil protection at the national level emerged as a response measure.It is possible to highlight three phases(understanding,coexistence,and prevention)of institutional action focused on risk management in the face of disasters.Despite the growing knowledge of risk scenarios,disasters continue to occur in Brazil on an annual basis,revealing several obstacles to reducing their impact,particularly given the social and economic disparities between Brazilian regions and the applicability of public policies that must overcome the limitations of each municipality.

Network Configuration Entity Extraction Method Based on Transformer with Multi-Head Attention Mechanism

Nowadays,ensuring thequality of networkserviceshas become increasingly vital.Experts are turning toknowledge graph technology,with a significant emphasis on entity extraction in the identification of device configurations.This research paper presents a novel entity extraction method that leverages a combination of active learning and attention mechanisms.Initially,an improved active learning approach is employed to select the most valuable unlabeled samples,which are subsequently submitted for expert labeling.This approach successfully addresses the problems of isolated points and sample redundancy within the network configuration sample set.Then the labeled samples are utilized to train the model for network configuration entity extraction.Furthermore,the multi-head self-attention of the transformer model is enhanced by introducing the Adaptive Weighting method based on the Laplace mixture distribution.This enhancement enables the transformer model to dynamically adapt its focus to words in various positions,displaying exceptional adaptability to abnormal data and further elevating the accuracy of the proposed model.Through comparisons with Random Sampling(RANDOM),Maximum Normalized Log-Probability(MNLP),Least Confidence(LC),Token Entrop(TE),and Entropy Query by Bagging(EQB),the proposed method,Entropy Query by Bagging and Maximum Influence Active Learning(EQBMIAL),achieves comparable performance with only 40% of the samples on both datasets,while other algorithms require 50% of the samples.Furthermore,the entity extraction algorithm with the Adaptive Weighted Multi-head Attention mechanism(AW-MHA)is compared with BILSTM-CRF,Mutil_Attention-Bilstm-Crf,Deep_Neural_Model_NER and BERT_Transformer,achieving precision rates of 75.98% and 98.32% on the two datasets,respectively.Statistical tests demonstrate the statistical significance and effectiveness of the proposed algorithms in this paper.

Comparative Analysis of Metro Passengers’Mobility Patterns and Jobs-housing Balance of Metropolitan

The advent of the big data era has provided many types of transportation datasets,such as metro smart card data,for studying residents’mobility and understanding how their mobility has been shaped and is shaping the urban space.In this paper,we use metro smart card data from two Chinese metropolises,Shanghai and Shenzhen.Five metro mobility indicators are introduced,and association rules are established to explore the mobility patterns.The proportion of people entering and exiting the station is used to measure the jobs-housing balance.It is found that the average travel distance and duration of Shanghai passengers are higher than those of Shenzhen,and the proportion of metro commuters in Shanghai is higher than that of Shenzhen.The jobs-housing spatial relationship in Shenzhen based on metro travel is more balanced than that in Shanghai.The fundamental reason for the differences between the two cities is the difference in urban morphology.Compared with the monocentric structure of Shanghai,the polycentric structure of Shenzhen results in more scattered travel hotspots and more diverse travel routes,which helps Shenzhen to have a better jobs-housing balance.This paper fills a gap in comparative research among Chinese cities based on transportation big data analysis.The results provide support for planning metro routes,adjusting urban structure and land use to form a more reasonable metro network,and balancing the jobs-housing spatial relationship.

Blue Cap Is Effective and Safe for the Treatment of Atopic Dermatitis in Children

Background: Atopic dermatitis (AD) is the most common inflammatory skin disease in children. Treatment of AD is based on skin barrier repair and reduction of inflammation. We analyzed the efficacy and safety of activated piroctone olamine (APO)—Blue Cap—in children with AD. Materials and Methods: An open-label interventional clinical study was carried out at three clinical centers in Serbia. A total of 58 patients with AD, aged between 3 and 18 years were included and treated with Blue Cap Foam (100 ml;CATALYSIS S.L. Madrid)—Activated Piroctone Olamine—applied twice a day in the affected areas with eczema for 30 days and final assessment at 45 days from baseline. Photographic documentation, clinical evaluation, therapy effectiveness and safety questionnaires were assessed at baseline, 15, 30 and 45 days. Results: Our results demonstrated a significant reduction in signs (erythema, scaling, infiltration, excoriations, xerosis) and symptoms (pruritus) at weeks 2 and 4 of the study. At the end of the study, most patients had moderate (28.6%) to great (62.5%) disappearance of manifestations and moderate (25%) to great (71.4%) skin quality improvement. The effect and tolerability of the therapy were evaluated as very good in 66.1 % and 67.9% and good in about 14.3% and 17.9%, assessed by the investigator and patient, respectively. Three patients experienced a burning sensation at the beginning of the study, the side-effects were resolved as the patients continued applying the foam. After two weeks of cessation of the investigated foam, a significant percentage of patients experienced worsening in the final assessment done by the investigator as well as the participant. In the final assessment, a significantly high percentage (57.1%) of patients had a total reduction of manifestation, and a significant number of participants considered the applied product as treatment success, assessed by the investigator (62.5%) as well as the participants (66.4%). Conclusions: Blue Cap is effective and safe in children with AD, although further large-scale randomized controlled trials should confirm our study findings.

比较所有权优势:中国和印度企业跨国并购的理论框架

随着中国企业开始大量海外投资与国际并购，国家政策与企业战略都迫切需要新的理论指导。结合国际贸易的比较优势理论与国际企业的邓宁折衷理论（OLI），我们提出“比较所有权优势”理论，用于解释新兴市场企业为什么要进行国际化。我们希望这一新概念能奠定新兴市场企业全球竞争战略的基础。根据比较所有权优势的战略的四大特性：奇正性、动态性、创新性与结构优化性，我们对中国与印度的跨国并购战略进行预测，并对2000—2008年间总计2670件跨国并购进行了实证分析。我们的理论很好地揭示了基于比较所有权优势理论的中国与印度企业在并购行业、地区、交易模式、并购态度等的差异与共同点。

Computer Management of Quantitative Analysis Chemistry Experiment

The application of computer in the quantitative analysis chemistry experiment is a chemistry experiment teaching applications software, developed by Visual Basic （6.0）, based on the content of quantitative analysis chemistry experiment of chemistry major in higher institute. This software has the function of the automatic processing the experimental data, the automatic generation of test report copies, and the automatic evaluation of students＇ experimental results, which solve the reliability, objectivity and accuracy problems of the students＇ experiment data processing and evaluation, and avoid interference with human factors. The software has the characteristic of the easy installation, the easy operation, the strong practicability, pertinence, the systematicness and the running stability, so it provides a platform in the quantitative analysis chemistry experiment for the students＇ assessment system of automatic processing, and it has a high popularization value. The project＇s technical route design is reasonable, the research method is correct, and the experimental data processing results are reliable, which has reached the leading domestic level in the quantitative analysis chemistry experiment teaching field of computer data processing. And this project has been through the achievements appraisal of Gansu Provincial Sci. ＆ Tech. Department.

Study of Biological Effects of Low Energy Ion Implantation on Tomato and Radish Breeding

Biological effects of 30 keV low energy nitrogen ion implantation on the seeds of five types of tomato and one type of radish were investigated. Results showed that low energy ions have different effects on different vegetables. The whole dose-response curve of the germination ratio did not take on ＂the shape of saddle＂, but was a rising and falling waveform with the increase or decrease in ion implantation. In the vegetable of Solanaceae, two outstanding aberrant plants were selected from M1 of Henan No.4 tomato at a dose of 7x 1017 nitrogen ions/cm2, which had thin-leaves, long-petal and nipple tip fruit stably inherited to Mr. Furthermore the analysis of the isozyme showed that the activity of the mutant tomato seedling was distinct in quantity and color. In Raphanus sativus L., the aberrances were obvious in the mutant of radish 791 at a dose of 5×10^17 nitrogen ions/cm^2, and the weight of succulent root and the volume of growth were over twice the control＇s. At present, many species for breeding have been identified in the field and only stable species have been selected for the experiment of production. It is evident that the low energy ion implantation technology has clear effects on vegetables＇ genetic improvement.

Profile and removal of endocrine disrupting chemicals by using an ER/AR competitive ligand binding assay and chemical analyses

An estrogen receptor （ER）/androgen receptor （AR） ligand competitive binding assay （ER/AR-binding assay） and chemical analyses were used to evaluate the endocrine disrupting chemicals （EDCs） behavior of two municipal wastewater treatment plants （WWTPs） （K and S）. In the influents, estrone （E 1）, androsterone （A）, androstenedione （AD）, BPA （bisphenol A）, NP （nonylphenol） and daidzein （DZ） were detected in high amounts with subsequent 24 h-average concentrations of 350, 1000, 29, 1300, 3900, and 5700 ng/L in K-WWTP and of 310, 620, 59, 1600, 2600, and 8400 ng/L in S-WWTP. The estrogenic （androgenic） activity as 17β-estradiol （E2） equivalents （EEQ） or testosterone （Te） equivalents （TEQ） was consequently 620 ng E2/L （570 ng Te/L） and 580 ng E2/L （800 ng Te/L） for the two WWTPs. The removal efficiencies of the above mentioned sole target chemicals were 51%-100% for K-WWTP and 55.6%-100% for S-WWTP. The removal efficiencies of EEQ were about 73% for both WWTPs, while the removal efficiencies of TEQ were 62.1% for K-WWTP and 98.4% for S-WWTP. In addition, chemical-derived EEQ were about 1.2%-52.4% of those by ER-binding assay for K-WWTP and the corresponding ratios were 1.3%-83.3% for S-WWTP, while chemical derived TEQ were less than 3% of values measured by the AR-binding assay for both WWTPs.

Chemical constituents from Munronia sinica and their bioactivities

Two new minor constituents,musinisins A(1)and B(2),together with five known compounds(3-7),were isolated from the aerial parts of Munronia sinica.Their structures were established by means of spectroscopic methods and the absolute stereochemistry of 1 was determined by single crystal X-ray experiment.Compound 4 showed antiangiogenic activity evaluated by a zebrafish model and apoptosis-inducing effect on A549 lung cancer cells.

Network Management of Food Additives Quality Analysis and Inspection

In this paper, on the basis of the implementation of the national chemical industry standard analytical test methods and analysis of test items, a food additive quality analysis and inspection of network management applications are developed using the development technology of Visual Basic language and computer system operating environment, to achieve a network management software for users on food additives of quality analytical testing. The software sets up an information sharing network platform for enterprise and quality management departments, which is a major innovation in the food additive quality analysis on test management methods and tools.

Applicable Spatial Distribution Pattern of Green Space System in Emerging Towns——A Case Study of Gu'an County, China

In the context of the rapid development of urbanization in China, the development of emerging town shows a high-speed prosperity. This paper describes current situation of the emerging urban green space system and analyzes different characteristics between current green spaces and the old city or existing urban green space. Considering green space system planning in the downtown area of Gu'an County, advantages of the "network + patch" layout for green space systems in emerging towns are summarized to explore a green space structure suited to these towns.

The Political Leadership of Mao Zedong

This paper presents an analysis of the former Chinese Communist Party leader Chairman Mao Zedong’s political career(reigned 1949–1976),with regard to his success and failures.Mao was one of the most prominent Communist theoreticians who governed a quarter of humankind for a quarter of a century.His political philosophy,particularly his Method of Leadership,focusing on the“masses”is discussed here.The analytical arguments are centered on three phases of his leadership:The rise,the apex,and the fall.In the first phase,the paper attributes his victory before 1949 to his profound understanding of Chinese peasants.In the second phase,it elaborates on his successful method of leadership in the early 1950s.And in the third and last phase,it criticizes his disastrous political movements,particularly the Great Leap Forward and the Cultural Revolution,from the late 1950s to the mid-1970s.The study hopes to offer an objective and a balanced view of Chairman Mao,who had a complex personality and was a highly controversial figure in human history.The article also wishes to help readers gain a better understanding of China’s top leader in recent history,and how China came to be what it is today.

Self-Supervised Entity Alignment Based on Multi-Modal Contrastive Learning

Dear Editor,This letter proposes an unsupervised entity alignment method,which realizes integration of multiple multi-modal knowledge graphs adaptively.In recent years,Large-scale multi-modal knowledge graphs(LMKGs),containing text and image,have been widely applied in numerous knowledge-driven topics,such as question answering,entity linking,information extraction,reasoning and recommendation.

Icephobic performance on the aluminum foil-based micro-/nanostructured surface

The research of superhydrophobic materials has attracted many researchers＇ attention due to its application value and prospects.In order to expand the serviceable range,people have investigated various superhydrophobic materials.The simple and easy preparation method has become the focus for superhydrophobic materials.In this paper,we present a program for preparing a rough surface on an aluminum foil,which possesses excellent hydrophobic properties after the treatment with low surface energy materials at high vacuum.The resulting contact angle is larger than 160° and the droplet cannot freeze on the surface above-10 ℃.Meanwhile,the modified aluminum foil with the thickness of less than 100 μm can be used as an ideal flexible applied material for superhydrophobicity/anti-icing.

日本结核分枝杆菌北京家族株的系统发生学与基因学特征

为评价目前在日本流行的结核分枝杆菌的基因结构特征,对从全日本结核病患者中分离到的237株北京家族株进行了系统发生学的研究。与之前来自于其他国家的报道不同,古老亚型菌株是日本的主要流行株。成簇分析建立在JATA-VNTR(日本防痨协会随机重复序列的可变数目)的基础上,这种方法可以描述日本结核分枝杆菌菌株的独特的VNTR方法,结果揭示了现代亚型菌株间没有地域来源的区别,具有高度的相似性。JATA-VNTR方法可能对在经常分离出古老亚型菌株的菌群中进行系统发生学研究是有价值的。

Blended coal’s property prediction model based on PCA and SVM

In order to predict blended coal's property accurately, a new kind of hybrid prediction model based on principal component analysis (PCA) and support vector machine (SVM) was established. PCA was used to transform the high-dimensional and correlative influencing factors data to low-dimensional principal component subspace. Well-trained SVM was used to extract influencing factors as input to predict blended coal's property. Then experiments were made by using the real data, and the results were compared with weighted averaging method (WAM) and BP neural network. The results show that PCA-SVM has higher prediction accuracy in the condition of few data, thus the hybrid model is of great use in the domain of power coal blending.

Numerical modeling of solute transport in deformable unsaturated layered soil

The effect of soil stratification was studied through numerical investigation based on the coupled model of solute transport in deformable unsaturated soil. The theoretical model implied two-way coupled excess pore pressure and soil deformation based on Biot's consolidation theory as well as a one-way coupled volatile pollutant concentration field developed from the advection-diffusion theory. Embedded in the model, the degree of saturation, fluid compressibility, self-weight of the soil matrix, porosity variance, longitudinal dispersion, and linear sorption were computed. Based on simulation results of a proposed three-layer landfill model using the finite element method, the multi-layer effects are discussed with regard to the hydraulic conductivity, shear modulus, degree of saturation, molecular diffusion coefficient, and thickness of each layer. Generally speaking, contaminants spread faster in a stratified field with a soft and highly permeable top layer; soil parameters of the top layer are more critical than the lower layers but controlling soil thicknesses will alter the results. This numerical investigation showed noticeable impacts of stratified soil properties on solute migration results, demonstrating the importance of correctly modeling layered soil instead of simply assuming the averaged properties across the soil profile.