Comprehensive applicability evaluation of four precipitation products at multiple spatiotemporal scales in Northwest China

Precipitation plays a crucial role in the water cycle of Northwest China.Obtaining accurate precipitation data is crucial for regional water resource management,hydrological forecasting,flood control and drought relief.Currently,the applicability of multi-source precipitation products for long time series in Northwest China has not been thoroughly evaluated.In this study,precipitation data from 183 meteorological stations in Northwest China from 1979 to 2020 were selected to assess the regional applicability of four precipitation products(the fifth generation of European Centre for Medium-Range Weather Forecasts(ECMWF)atmospheric reanalysis of the global climate(ERA5),Global Precipitation Climatology Centre(GPCC),Climatic Research Unit gridded Time Series Version 4.07(CRU TS v4.07,hereafter CRU),and Tropical Rainfall Measuring Mission(TRMM))based on the following statistical indicators:correlation coefficient,root mean square error(RMSE),relative bias(RB),mean absolute error(MAE),probability of detection(POD),false alarm ratio(FAR),and equitable threat score(ETS).The results showed that precipitation in Northwest China was generally high in the east and low in the west,and exhibited an increasing trend from 1979 to 2020.Compared with the station observations,ERA5 showed a larger spatial distribution difference than the other products.The overall overestimation of multi-year average precipitation was approximately 200.00 mm and the degree of overestimation increased with increasing precipitation intensity.The multi-year average precipitation of GPCC and CRU was relatively close to that of station observations.The trend of annual precipitation of TRMM was overestimated in high-altitude regions and the eastern part of Lanzhou with more precipitation.At the monthly scale,GPCC performed well but underestimated precipitation in the Tarim Basin(RB=-4.11%),while ERA5 and TRMM exhibited poor accuracy in high-altitude regions.ERA5 had a large bias(RB≥120.00%)in winter months and a strong dispersion(RMSE≥35.00 mm)in summer months.TRMM showed a relatively low correlation with station observations in winter months(correlation coefficients≤0.70).The capture performance analysis showed that ERA5,GPCC,and TRMM had lower POD and ETS values and higher FAR values in Northwest China as the precipitation intensity increased.ERA5 showed a high capture performance for small precipitation events and a slower decreasing trend of POD as the precipitation intensity increased.GPCC had the lowest FAR values.TRMM was statistically ineffective for predicting the occurrence of daily precipitation events.The findings provide a reference for data users to select appropriate datasets in Northwest China and for data developers to develop new precipitation products in the future.

Factor value determination and applicability evaluation of universal soil loss equation in granite gneiss region

Six types of runoff plots were set up and an experimental study was carried out to examine natural rate of soil and water loss in the granite gneiss region of northern Jiangsu Province in China. Through correlation analysis of runoff and soil loss during 364 rainfall events, a simplified and convenient mathematical formula suitable for calculating the rainfall erosivity factor （R） for the local region was established. Other factors of the universal soil loss equation （USLE model） were also determined. Relative error analysis of the soil loss of various plots calculated by the USLE model on the basis of the observed values showed that the relative error ranged from -3.5% to 9.9% and the confidence level was more than 90%. In addition, the relative error was 5.64% for the terraced field and 12.36% for the sloping field in the practical application. Thus, the confidence level was above 87.64%. These results provide a scientific basis for forecasting and monitoring soil and water loss, for comprehensive management of small watersheds, and for soil and water conservation planning in the region.

Applicability evaluation of the SWIM at river basins of the black soil region in Northeast China： A case study of the upper and middle Wuyuer River basin

In this paper, we selected the middle and upper reaches of the Wuyuer River basin in the black soil region of Northeast China as the study area. We adopted the soil and water integrated model （SWIM） and evaluated the parameter sensitivity using partial correlation coefficient. We calibrated and validated our simulation results based on the daily runoff data from Yi＇an hydrological station at the outlet of the river basin and the evaporation data re- corded by various weather stations from 1961 to 1997. Following evaluation of the modeling data against the observed data, we present the applicability of SWIM in the river basin of the black soil region, and discuss the resulting errors and their probable causes. Results show that in the periods of calibration and validation, the Nash-Sutcliffe efficiency （NSE） coeffi- cients of the monthly and daily runoffs were not less than 0.71 and 0.55, and the relative er- rors were less than 6.0%. Compared to daily runoffs, the simulation result of monthly runoffs was better. Additionally, the NSE coefficients of the potential monthly evaporation were not less than 0.81. Together, the results suggest that the calibrated SWIM can be utilized in various simulation analyses of runoffs on a monthly scale in the black soil region of Northeast China. On the contrary, the model had some limitations in simulating runoffs from snowmelt and frozen soil. Meanwhile, the stimulation data deviated from the measured data largely when applied to the years with spring and summer floods. The simulated annual runoffs were considerably higher than the measured data in the years with abrupt increases in annual precipitation. However, the model is capable of reproducing the changes in runoffs during flood seasons. In summary, this model can provide fundamental hydrological information for comprehensive management of the Wuyuer River basin water environment, and its applica- tion can be potentially extended to other river basins in the black soil region.

Analysis on Applicability Evaluation of Forensic Science Standards in China

Standard applicability is the ability of a standard to be suitable for the prescriptive purpose under specified conditions.There is no mature applicability.evaluation index system of standards worldwide at present.We aim to construct the index system for evaluating the applicability of forensic science standard.The index system of applicability evaluation is proposed using a statistical analysis on the applicability of forensic science standards in China.We summarize the major problems and reasons in developing and revising the national and industry standards in China.Based on these,we put forward measures to improve standards’applicability,provide policy support for rectifying the standards,and lay the theoretical foundation for the construction,adjustment,and optimization of the forensic science standard system.

Evaluation of Control Effects against Sugarcane Pests：A New Sustained-release and Long-lasting Pesticide and Convenient and Efficient Pesticide Application Technology

[Objective]The paper was to screen a new ideal sustained-release,long-lasting and low-toxic pesticide and convenient and efficient pesticide application technology for controlling Ceratovacuna lanigera and Baliathrips serratus. [Method]2% Imidacloprid GR were selected and applied in the soil for field efficacy trial. [Result] The optimum dosage of 2% imidacloprid GR was 30 kg/hm^2（ active ingredient 600 g）,which can be mixed with fertilizer（ 30 kg pesticide and 40-80 kg fertilizer per hm^2） once combined with sugarcane planting management or big ridging during February and June. The control effects against C. lanigera and B. serratus could be more than 98. 2% and 81. 1%,respectively. The actual yield and sugar content in various pesticide treatments were increased by 33 390 kg/hm^2 and 6. 6% respectively compared to blank control. [Conclusion]2% imidacloprid GR has good control effects on C. lanigera and B. serratus. It is a new pesticide with ideal sustained-release,long-lasting and low-toxin effects against C. lanigera and B. serratus. Therefore,it could be used alternatively with other pesticides,to delay production and development of drug resistance.

Electrochemical Determination of Rate Constants for Reactions of OH and its Application in the Evaluation of Anti-Oxidant Actions of Rheum

A single-sweep oscillopolarographic procedure is descrital which allows detethenahon of rateconstants for reachons of oH. For a wide range of compounds, the results fit well with rate constantspreviously obtained with other methods. Rate constants for reactions of six kinds of active compoundscontalned in rheum, a tradihonal Chinese herb, have been deteboned by this method. Rcationmechanism ha5 also been discussed.

Research and perspectives on criteria for evaluation of nursing research achievements

This paper introduces concepts related to scientific research achievements, analyzes current evaluation methods with regard to nursing research achievements and their application at home and abroad, and summarizes findings from the investigation of obstacles to the application of nursing research results in China, aiming to provide reference points for the evaluation and application of nursing research results in China.

Evaluation of a model recommended for N fertilizer application in irrigated rice

The response of rice to N fertilizer applicationhas shown that high rates of N application donot always ensure a proportional increase inyield due to high N losses. A model, ORYZA-0 was developed by ten Berge for designingoptimum N fertilizer management strategy inrice. We evaluated the performance ofORYZA-0 in Jinhua, Zhejiang Province. ORYZA-0 includes N uptakes, partition-ing of N among the organs, and utilization ofleaf N in converting solar energy to dry mat-ter. It can predict the amount and time of Nfertilizer application to achieve a maximumbiomass or yield combining with Price algo-rithm optimization procedure.

A Sentiment Analysis Based Model for Recruitment by Higher Institutions

The traditional roles of a university are teaching and research with the aim of developing society and contributing positively to the national economic development by producing skilled and well-tutored graduates. However, recruitments by these higher institutions are too reliant on the eligibility provided by Resumes of candidates, while neglecting their suitability drawn from their research activity and publications online. This study identifies insights in recruitment trends in higher institutions of learning and uses Artificial Intelligence to produce a more rounded and balanced decision-making process that caters for both eligibility and suitability. The methodology employs the machine learning process using the Multinomial Naïve Bayes for training the model as well as the Vader sentiment analyzer for accuracy and testing. The datasets used contained Resume instances as well as author publication information. The results show a score of 83.9% for the model as well as a sentiment analysis score of 1, indicating an overall positive score. The results show that sentiment analysis can help educational institutions in improving their recruitment models and attracting more suitable candidates for such roles.

Evaluation of the applicability of climate forecast system reanalysis weather data for hydrologic simulation： A case study in the Bahe River Basin of the Qinling Mountains, China

In recent years, global reanalysis weather data has been widely used in hydrological modeling around the world, but the results of simulations vary greatly. To consider the applicability of Climate Forecast System Reanalysis（CFSR） data in the hydrologic simulation of watersheds, the Bahe River Basin was used as a case study. Two types of weather data（conventional weather data and CFSR weather data） were considered to establish a Soil and Water Assessment Tool（SWAT） model, which was used to simulate runoff from 2001 to 2012 in the basin at annual and monthly scales. The effect of both datasets on the simulation was assessed using regression analysis, Nash-Sutcliffe Efficiency（NSE）, and Percent Bias（PBIAS）. A CFSR weather data correction method was proposed. The main results were as follows.（1） The CFSR climate data was applicable for hydrologic simulation in the Bahe River Basin（R^2 of the simulated results above 0.50, NSE above 0.33, and ｜PBIAS｜ below 14.8. Although the quality of the CFSR weather data is not perfect, it achieved a satisfactory hydrological simulation after rainfall data correction.（2） The simulated streamflow using the CFSR data was higher than the observed streamflow, which was likely because the estimation of daily rainfall data by CFSR weather data resulted in more rainy days and stronger rainfall intensity than was actually observed. Therefore, the data simulated a higher base flow and flood peak discharge in terms of the water balance, except for some individual years.（3） The relation between the CFSR rainfall data（x） and the observed rainfall data（y） could berepresented by a power exponent equation： y=1.4789x0.8875（R2=0.98,P〈0.001）. There was a slight variation between the fitted equations for each station. The equation provides a theoretical basis for the correction of CFSR rainfall data.

Study on Construction Project Variation Management System Design

This paper analyses the necessity of developing variation information management of construction project. The structure scheme of variation management system has been put forward, which is based on intranet or internet scheme, with the structure of Browser or Server. The system consists of eight modules, which are variation account management, variation application, variation evaluation, variation execution, variation price management, variation report management, variation information query and system maintenance. With this system, remote management and controlling in real time for variation of construction proiect can be carried out.

Analysis on the Cy-Pres Doctrine in the Public Benefit Trust

Public benefit trust is of great significance to the development of social public welfare, and the cy-pres doctrine as a special principle of public benefit trust, plays an important role in protecting the continuation of public benefit trust, and the realization and reasonable use of high-efficiency trust properties. In this paper, therefore, the origin, establishment, and development trend of the approximation principle as well as its current legislative situation in China are studied, and also its applicability of the Cy-Pres doctrine in China＇s public benefit trust is briefly evaluated, so as to further deepen the understanding of the Cy-Pres doctrine and develop the public benefit trust undertakings in China.

Acoustic transfer function of cavity and its application to rapid evaluation of sound field at low frequency band

A new method to obtain numerical solution of Acoustic Transfer Function (ATF) by BEM is presented. For a simply supported panel backed by a rectangular cavity at low frequency band (0-200 Hz), the frequency property of ATF is analyzed. The relation between the accuracy of the rapid evaluation of sound field and the discretization schemes of the vibrational panel is discussed. The result shows that the method to obtain ATF and the rapid evaluation of sound field using the ATF is suitable to low frequency band. If an appropriate discretization scheme is choosed based on the frequency involved and the effort to obtain ATF, the accuracy of the rapid evaluation of sound field is acceptable.

Validation of the Chinese version of Hull airway reflux questionnaire and its application in the evaluation of chronic cough

Objective To validate the effectiveness,repeatability and treatment responsiveness of the Chinese version of Hull airway reflux questionnaire(HARQ),and to determine its clinical value.Methods A standard Chinese version of HARQ was developed by an established translation procedure and its repeatability was assessed in a preliminary study involving 55 untreated patients

Analysis of Indirect Evidence in Hit-and-run Cases

For personnel handling cases in public security bodies,evaluation of evidence is key to discover the fact and then to settle disputes.The process of evaluation shall be confirmed to rules of logic.Rules of logic are a set of judgment rules for people to reflect,induce,and deduce the development of law worldwide.Thus,evaluation of evidence shall be built on objective and rational logic deduction.Rules of logic applied in the investigation and judgment of evidence can help in finding a direct or indirect link between the evidence and the facts of an accident,thereby providing support and assistance for accident identification.It is particularly necessary to apply rules of logic to evaluate the indirect evidence chain in the investigation of hit‑and‑run traffic accident cases.This article demonstrates the specific application of such rules in the investigation of a serious hit‑and‑run traffic accident case.In the investigation process through the comprehensive analysis of and logical thinking around all indirect evidence,such as site inspection data,video monitoring data,witness testimony,and expert conclusions,and the combining of this with the direct evidence of the parties’statements,a complete chain of evidence for identifying a suspect’s vehicle and the accident facts can be formed.The effective application of rules of logic in the evaluation of the indirect evidence chain in hit‑and‑run traffic accident cases provides more clues and narrows the scope of an investigation,improving its efficiency and accuracy,thereby helping to identify the facts of an accident.

AI-enabled organoids:Construction,analysis,and application

Organoids,miniature and simplified in vitro model systems that mimic the structure and function of organs,have attracted considerable interest due to their promising applications in disease modeling,drug screening,personalized medicine,and tissue engineering.Despite the substantial success in cultivating physiologically relevant organoids,challenges remain concerning the complexities of their assembly and the difficulties associated with data analysis.The advent of AI-Enabled Organoids,which interfaces with artificial intelligence(AI),holds the potential to revolutionize the field by offering novel insights and methodologies that can expedite the development and clinical application of organoids.This review succinctly delineates the fundamental concepts and mechanisms underlying AI-Enabled Organoids,summarizing the prospective applications on rapid screening of construction strategies,cost-effective extraction of multiscale image features,streamlined analysis of multi-omics data,and precise preclinical evaluation and application.We also explore the challenges and limitations of interfacing organoids with AI,and discuss the future direction of the field.Taken together,the AI-Enabled Organoids hold significant promise for advancing our understanding of organ development and disease progression,ultimately laying the groundwork for clinical application.