Field survey and analysis on near-fault severely damaged high-speed railway bridge in 2022 M6.9 Menyuan earthquake

The 2022 M6.9 Menyuan earthquake caused severe damage to a high-speed railway bridge,which was designed for high-speed trains running at speeds of above 250 km/h and is located right next to the fault.Bridges of this type have been widely used for rapidly constructing the high-speed railway network,but few bridges have been tested by near-fault devastating earthquakes.The potential severe impact of the earthquake on the high-speed railway is not only the safety of the infrastructure,trains and passengers,but also economic loss due to interrupted railway use.Therefore,a field survey was carried out immediately after the earthquake to collect time-sensitive data.The damage to the bridge was carefully investigated,and quantitative analyses were conducted to better understand the mechanism of the bridge failure.It was found that seismic action perpendicular to the bridge’s longitudinal direction caused severe damage to the girders and rails,while none of the piers showed obvious deformation or cracking.The maximum values of transverse displacement,out-of-plane rotation and twisting angle of girders reached 212.6 cm,3.1 degrees and 19.9 degrees,respectively,causing severe damage to the bearing supports and anti-seismic retaining blocks.These observations provide a basis for improving the seismic design of high-speed railway bridges located in near-fault areas.

Survey and Analysis of Postoperative Quality of Life in Gynaecological Oncology Patients

Goal:To investigate the current status of quality of life of postoperative patients with gynaecological tumours,and to analyse the relevant factors affecting the quality of life of postoperative patients with gynaecological tumours.Method:One hundred and fifty-three postoperative gynecological oncology patients who attended the gynaecology and oncology departments of three tertiary hospitals in Henan Province from June 2023 to March 2024 were investigated by convenience sampling method.The patients’postoperative survival quality was investigated through the General Information Survey Scale and Quality of Life Score Scale.Results:The quality of life measurement scale score of postoperative gynaecological oncology patients in this study was(121.27±10.87),in which there was a difference in the quality of life of postoperative gynaecological oncology patients of different age,education level,marital status,and per capita monthly income of the family,p<0.05.Conclude:The quality of life level of postoperative gynaecological oncology patients is generally good,and age,literacy,marital status,and per capita monthly family income are important factors in the postoperative quality of life of gynaecological oncology patients.Healthcare professionals should focus on patients with older age,lower education level,unstable marital status,and poor economic status,and provide personalised targeted interventions to improve their quality of life.

Condition survey and analysis of epoxy asphalt concrete pavement on Second Nanjing Yangtze River Bridge:a ten-year review

To obtain a complete picture of the epoxy asphalt pavement condition on the Second Nanjing Yangtze River Bridge, an on-site survey is conducted to collect information regarding traffic composition and extents of pavement distresses. The survey shows that 30 m2 out of the entire 3.8 × 104 m2 pavement exhibits potholes and alligator cracks. Other surface cracks are also found, including regular longitudinal cracks, short hairline cracks, bubble cracks, and ring cracks. Rutting and shoving are not observed on the pavement. The causes of pavement distresses are discussed by analyzing the pavement mechanical response with actual traffic composition. Research results indicate that the regular longitudinal cracks occurring at ribs near wheelpaths are due to fatigue damage. Short hair cracking and bubble cracking are mainly related to construction defects. Alligator cracks are the results of the development of regular, short hair and bubble cracks lacking effective maintenance. Potholes are induced by the cracking and moisture ingression.

Epidemiological Survey and Analysis on an Outbreak of Gastroenteritis due to Water Contamination

Objective To document the investigation and control of an outbreak of gastroenteritis in City G, South China, and provide a reference for preventing future outbreaks. Methods An ambispective cohort study was designed. Attack rate （AR） and relative risks （RR） were calculated to identify the causes of gastroenteritis. Investigations using questionnaires included personal interviews with patients and doctors, reviews of medical records, laboratory examinations of fecal specimens and continuous hygiene monitoring of water samples from the waterworks. Results Overall, 427/71534 （AR=5.97%o） cases were identified between October 31 and November 12 2010. Geographic distribution was highly localized, with 80% of cases occurring in the areas supplied by waterworks-A. Consumption of water provided solely by waterworks-A was found to be associated with illness （RR=8.20, 95 C1%：6.12-10.99） compared with that from waterworks-B. Microbiological analyses confirmed the presence of Norovirus in six of eight fecal samples from symptomatic patients, two water samples from waterworks-A and two sewage samples. After taking effective measures, the hygienic indices of waterworks-A met health criteria again on November 9 and no cases were reported 3 days later.Conclusion The outbreak reported here was caused by drinking tap water contaminated with sewage at the source. Early identification of possible contamination sources and awareness of changes that might negatively impact water quality are important preventive measures to protect public health.

A survey on deep learning for textual emotion analysis in social networks

Textual Emotion Analysis(TEA)aims to extract and analyze user emotional states in texts.Various Deep Learning(DL)methods have developed rapidly,and they have proven to be successful in many fields such as audio,image,and natural language processing.This trend has drawn increasing researchers away from traditional machine learning to DL for their scientific research.In this paper,we provide an overview of TEA based on DL methods.After introducing a background for emotion analysis that includes defining emotion,emotion classification methods,and application domains of emotion analysis,we summarize DL technology,and the word/sentence representation learning method.We then categorize existing TEA methods based on text structures and linguistic types:text-oriented monolingual methods,text conversations-oriented monolingual methods,text-oriented cross-linguistic methods,and emoji-oriented cross-linguistic methods.We close by discussing emotion analysis challenges and future research trends.We hope that our survey will assist readers in understanding the relationship between TEA and DL methods while also improving TEA development.

The Survey on Course Design for Business English Majors on the Base of Needs Analysis

Based on the needs analysis theory, a survey on the course design of Business English at Honghe University are conducted. Business English majors' learning needs and attitudes towards course design of Business English are researched through questionnaires. Business English competences needed in workplaces and society's needs for Business English talents are investigated. After analyzing recruitment information for Business English talents collected from domestic credible websites, some suggestions on course design of business English are supplied.

Development of a new 17-item Asthenopia Survey Questionnaire using Rasch analysis

AIM:To develop the 17-item Asthenopia Survey Questionnaire(ASQ)-17 by Rasch analysis,and to generate a predictiveness score.METHODS:Totally 739 participants were recruited and 680 were involved in the result analysis in this prospective,cross-sectional study.Three rounds of Rasch analysis were used to analyze the psychometric characteristics of items and options.RESULTS:Phase 1 assessed the original ASQ-19,adjusted the item scoring mode to a four-point Likert response rating scale and combined the 18th and 19th items into a new item.Phase 2 deleted the 11th item.Phases 3 and 4 assessed the new ASQ-17.All the evaluation indexes of ASQ-17 were acceptable.The Infit and Outfit MnSq values of items were 0.67-1.48,the variance explained by the principal component and the unexplained variance explained by the first contrast were 53.90%-59.40%and 1.50-1.80 in three dimensions.The curve peaks of scores in each dimension were separated and in the same order.The PSR and PSI values were 2.80 and 0.89,respectively.The mean scores of dimensions A(9.5±4.1 vs 3.5±3.2),B(7.3±3.3 vs 2.5±2.7),C(4.3±2.2 vs 1.4±2.0)and total(21.1±8.1 vs 7.4±7.0)in asthenopia participants were significantly higher than those without asthenopia(all P<0.001).The area under the curve in two groups was 0.899(P<0.001).Youden’s index was up to the maximum value of 0.784 when the cut-off value was 12.5.CONCLUSION:ASQ-17 has stronger option sorting and suitability than ASQ-19.It is an effective assessment tool for asthenopia with an optimal cut-off threshold value of 12.5,which is suitable for diagnosis and curative effect evaluation.

A Survey on Methods and Applications of Intelligent Market Basket Analysis Based on Association Rule

The market trends rapidly changed over the last two decades.The primary reason is the newly created opportunities and the increased number of competitors competing to grasp market share using business analysis techniques.Market Basket Analysis has a tangible effect in facilitating current change in the market.Market Basket Analysis is one of the famous fields that deal with Big Data and Data Mining applications.MBA initially uses Association Rule Learning(ARL)as a mean for realization.ARL has a beneficial effect in providing a plenty benefit in analyzing the market data and understanding customers’behavior.An important motive of using such techniques is maximizing the business profit as well as matching the exact customer needs as closely as possible.In this survey paper,we discussed several applications and methods of MBA based on ARL.Also,we reviewed some association rule learning measurements including trust,lift,leverage,and others.Furthermore,we discuss some open issues and future topics in the area of market basket analysis and association rule learning.

A survey on the status of semen analysis in 118 laboratories in China

Collecting baseline information on how laboratories perform testing is a reasonable first step towards establishing intra- and inter-laboratory standardization and quality control for semen analysis. We carried out a survey of the laboratories performing the testing in China's Mainland. A questionnaire, composed of 36 questions covering all aspects of semen analysis, was designed, and a copy was distributed to each of the 145 laboratories. Of these, 118 laboratories completed the questionnaires. The survey results showed that semen volume was measured visually in 53.6% （59/110） of the responding laboratories, and 70.9% （73/103） of laboratories analysed incompletely liquefied semen without any treatment. In addition, both manual-microscopic and computer-assisted semen-analysis systems were applied to analyse sperm concentration, motility and morphology. However, more than five methods were employed in routine sperm staining. An enzyme-linked immunosorbent assay was commonly used for determining whether antisperm antibodies were present. Several seminal biochemical markers were analysed in only 27.1% （32/118） of the responding laboratories. Generally, there was a lack of intra- and inter-laboratory quality control measures for semen analysis in all laboratories responding to this survey. In conclusion, the methods of semen analysis and the interpretation of test results in the surveyed laboratories differed markedly. In particular, many laboratories employed methods other than those recommended by the World Health Organization Laboratory Manual for the Examination of Human Semen and Sperm- cervical Mucus Interaction （1999）. These findings suggest an urgent need for the standardization of semen analysis with acceptable quality controls for each parameter to make the results repeatable and meaningful.

Survey and technological analysis of laser and its defense applications

The laser technology has made remarkable progress over the past couple of decades.It is being widely employed in diverse domains,such as holography,space sciences,spectroscopy,medical sciences,micro and power electronics,industrial engineering,and most distinctively,as directed energy military weapons.Owing to their active transmissions,laser systems are similar to microwave radars to some extent;however,unlike conventional radars,the laser operates at very high frequencies thus making it a potent enabler of narrow-beam and high energy aerial deployments,both in offensive and defensive roles.In modern avionics systems,laser target indicators and beam riders are the most common devices that are used to direct the Laser Guided Weapons(LGW)accurately to the ground targets.Additionally,compact size and outstanding angular resolution of laser-based systems motivate their use for drones and unmanned aerial applications.Moreover,the narrow-beam divergence of laser emissions offers a low probability of intercept,making it a suitable contender for secure transmissions and safety-critical operations.Furthermore,the developments in space sciences and laser technology have given synergistic potential outcomes to use laser systems in space operations.This paper comprehensively reviews laser applications and projects for strategic defense actions on the ground or in space.Additionally,a detailed analysis has been done on recent advancements of the laser technology for target indicators and range-finders.It also reviews the advancements in the field of laser communications for surveillance,its earlier state of the art,and ongoing scientific research and advancements in the domain of high energy directed laser weapons that have revolutionized the evolving military battlefield.Besides offering a comprehensive taxonomy,the paper also critically analyzes some of the recent contributions in the associated domains.

Genome-Wide Survey and Expression Analysis of P_(1B)-ATPases in Rice, Maize and Sorghum

P1B-type ATPase ion pumps that transport heavy metal ions across cellular membranes are essential for plant growth and development. To date, a genomic comparison overview of the family in rice, maize and sorghum is not yet available. In this study, a total of 31 heavy metal P1B-type ATPase （HMA） genes were identified, including 9 in rice, 11 each from maize and sorghum. They were classified into two distinct subfamilies based on their sequence composition and phylogenetic relationship. Four pairs of HMA genes were expanded via gene duplication with tandemly duplicated. Comprehensive analyses were performed to investigate the expression profiles of HMA genes in various tissues by using quantitative real-time PCR. Some HMA members exhibited abundant and tissue-specific expression patterns. Moreover, most of the genes were found to be differentially expressed under the Cu/Cd treatment. This study will facilitate further studies on P1B-type ATPase family and provide valuable hints for the functional validation in rice, maize and sorghum.

A survey on porcine circovirus type 2 infection and phylogenetic analysis of its ORF2 gene in Hangzhou,Zhejiang Province,China

Porcine circovirus type 2 (PCV2) is closely related to the postweaning multisystemic wasting syndrome (PMWS). In this study, the pig serum and tissue samples collected from different regions of Hangzhou District in Zhejiang Province of China between 2003 and 2005 were analyzed by enzyme-linked immunosorbent assay (ELISA) for PCV2 antibody and by polymerase chain reaction (PCR) for ORF2 gene. The results show that out of 1250 randomly collected serum samples, 500 sera (40%) were seropositive for PCV2. PCR results demonstrate that Hangzhou PCV2 with more than 50% Chinese PCV2 strains and French PCV2 formed Cluster A. Only one PCV2 from Hangzhou belonged to Cluster B with some other Chinese PCV2 and Netherlands’s isolates. Cluster C consisted of PCV2 isolates from China, US, Canada, UK and Germany. The results indicate that the PCV2 infection was widespread in Hangzhou.

Ray hit analysis method and its application to complex upper crustal structure survey

Based on the results obtained from Pg wavefront imaging in active source deep seismic sounding, we propose a new ray hit analysis method for high-resolution seismic refraction profile data processing. This method can be used to further determine possible refraction interface, especially spatial location of basement and its pattern characteristics in complex upper crustal structure region, making data processing for high-resolution refraction profiles more fine. We use this method to study the crystalline basement structure of east part of A＇nyemaqên suite zone at northeast side of Qinghai-Xizang Plateau and the basement patterns as well as its spreading features at the east part of Anemaqen suite zone and its adjacent region were determined.

The bibliometrics survey of ecological economic research:A knowledge mapping analysis based on the SCI and SSCI database

Based on bibliometrics and knowledge mapping analysis method,this paper uses CiteSpace,a visual literature analysis tool,to analyze 3794 related documents with the theme of“economic economy”in SCI and SSCI databases from 2010 to 2020,including authors,institutions,subject headings and literature co-citation,so as to reveal the development and hot spots of ecological economic research.The results show that in recent years,the number of documents on ecological economic research has been increasing,and developed countries are dominant.China’s research in this field has developed rapidly and has certain advantages in terms of quantity and quality.The institution with the largest number of papers is Chinese Academy Science,followed by Beijing Normal University,University of Chinese Academy of Sciences,Peking University and Universitat autonomy de Barcelona;research hotspots in recent 10 years include“sustainability”,“management”,“climate change”,“impact”,“economy”,“china”,“conservation”,“ecosystem service”,etc.The top three journals are Sustainability,Journal of Cleaner Production,and Ecological Economics,accounting for about 10%of the total number of papers published.The hot spots of ecological economic research in 2010-2020 can be divided into three stages,with different theme words emerging in each stage.From 2018 to 2020,the theme word of high-strength emergence is“anthropocene”,which indicates that“anthropocene”may be the focus of future research.

Survey and Analysis of Common Diseases of Laboratory Monkeys, Taking Kunming Area as an Example

[Objective] The paper was to understand the epidemiology of common diseases of laboratory monkeys in Kunming area. [Method]Through the investigation of sick and dead monkeys in a large-scale laboratory monkey breeding facility in Kunming area in 2014,the animals were classified depending on the main symptoms,and diseases were classified according to adult and juvenile monkeys. Data were analyzed by Office Excel 2010 software. [Result]Digestive system diseases,respiratory system diseases,trauma,reproductive system diseases,and locomotor system diseases were common disease types of laboratory monkeys in Kunming area,accounting for 47. 45%,13. 06%,12. 10%,11. 46% and 8. 92%,respectively. Common diseases included diarrhea,soft tissue injury,abortion,lobar pneumonia,dysentery,arthritis,bowel gas,chronic colitis,and extremely poor nutrition,and the ratios were 18. 47%,11. 15%,8. 91%,8. 28%,7. 96%,5. 10%,5. 10% and 5. 09%,respectively. [Conclusion]A set of scientific and reasonable measures for prevention and control of diseases is formulated,which is of great significance for improving the quantity and quality of laboratory monkeys and ensuring the accuracy of animal test results.

Combination of genetic analysis and ancient literature survey reveals the diverge nee of traditional Brassica rapa varieties from Kyoto, Japan

Since ancient times,humans have bred several plants that we rely on today.However,little is known about the divergence of most of these plants.In the present study,we investigated the divergence of Mibuna(Brassica rapa L.subsp.nipposinica L.H.Bailey),a traditional leafy vegetable in Kyoto(Japan),by combining genetic analysis and a survey of ancient literature.Mibuna is considered to have been bred 200 years ago from Mizuna,another traditional leafy vegetable in Kyoto.Mibuna has simple spatulate leaves,whereas Mizuna has characteristic serrated leaves.The quantitative trait loci(QTL)and gene expression analyses suggested that the downregulation of BrTCP15 expression contributed to the change in the leaf shape from serrated to simple spatulate.Interestingly,the SNP analysis indicated that the genomic region containing the BrTCP15 locus was transferred to Mibuna by introgression.Furthermore,we conducted a survey of ancient literature to reveal the divergence of Mibuna and found that hybridization between Mizuna and a simple-leaved turnip might have occurred in the past.Indeed,the genomic analysis of multiple turnip cultivars showed that one of the cultivars,Murasakihime,has almost the same sequence in the BrTCP15 region as Mibuna.These results suggest that the hybridization between Mizuna and turnip has resulted in the establishment of Mibuna.

Survey and Analysis on Present Situation of Biological Experiment Teaching in Some Middle Schools in Yangjiang Area

Experimental teaching is an important part of biology teaching in middle school.In the form of questionnaire,this paper conducts a survey on some leading teachers of biology in the middle schools in the Yangjiang area about the biological experiment teaching in the implementation of the new curriculum,and analyzes the results of the survey.The problems and deficiencies in the implementation of biological experiment teaching in some middle schools in this area are found,and the relevant reform measures and suggestions are put forward in order to promote the better development of biological experiment teaching in middle schools.

A Survey and Tutorial of EEG-Based Brain Monitoring for Driver State Analysis

The driver’s cognitive and physiological states affect his/her ability to control the vehicle.Thus,these driver states are essential to the safety of automobiles.The design of advanced driver assistance systems(ADAS)or autonomous vehicles will depend on their ability to interact effectively with the driver.A deeper understanding of the driver state is,therefore,paramount.Electroencephalography(EEG)is proven to be one of the most effective methods for driver state monitoring and human error detection.This paper discusses EEG-based driver state detection systems and their corresponding analysis algorithms over the last three decades.First,the commonly used EEG system setup for driver state studies is introduced.Then,the EEG signal preprocessing,feature extraction,and classification algorithms for driver state detection are reviewed.Finally,EEG-based driver state monitoring research is reviewed in-depth,and its future development is discussed.It is concluded that the current EEGbased driver state monitoring algorithms are promising for safety applications.However,many improvements are still required in EEG artifact reduction,real-time processing,and between-subject classification accuracy.

An Analysis of the Potential of China's Grain Output in 2000——By the Head Rural Survey Team of the State Statistical Bureau

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