Design of a Web Crawler for Water Quality Monitoring Data and Data Visualization

Many countries are paying more and more attention to the protection of water resources at present,and how to protect water resources has received extensive attention from society.Water quality monitoring is the key work to water resources protection.How to efficiently collect and analyze water quality monitoring data is an important aspect of water resources protection.In this paper,python programming tools and regular expressions were used to design a web crawler for the acquisition of water quality monitoring data from Global Freshwater Quality Database(GEMStat)sites,and the multi-thread parallelism was added to improve the efficiency in the process of downloading and parsing.In order to analyze and process the crawled water quality data,Pandas and Pyecharts are used to visualize the water quality data to show the intrinsic correlation and spatiotemporal relationship of the data.

Particle Image Velocimetry Experimental and Computational Investigation of a Blood Pump

Blood pumps have been adopted to treat heart failure over the past decades. A novel blood pump adopting the rotor with splitter blades and tandem cascade stator was developed recently. A particle image velocimetry （P1V） experiment was carried out to verify the design of the blood pump based on computational fluid dynamics （CFD） and further analyze the flow properties in the rotor and stator. The original sized pump model with an acrylic housing and an experiment loop were constructed to perform the optical measurement. The PIV testing was carried out at the rotational speed of 6952±50 r/rain with the flow rate of 3.1 l/rain and at 8186±50 r/min with 3.5 l/rain, respectively. The velocity and the Reynolds shear stress distributions were investigated by PIV and CFD, and the comparisons between them will be helpful for the future blood pump design.

Asian,regional,and national burdens of respiratory tract cancers and associated risk factors from 1990 to 2019:A systematic analysis for the global burden of disease study 2019

Background:Respiratory cancer is the leading cause of cancer-related deaths worldwide,but its statistics vary between the East and West.This study aimed to estimate the burdens of tracheal,bronchus,and lung(TBL)cancer and larynx cancer and their attributable risks from 1990 to 2019 in Asia,and at regional and national levels.Methods:This research evaluated the incidence,mortality,years lived with disability,years of life lost,and disability-adjusted life years(DALYs)for respiratory tract cancers using the Global Burden of Diseases,Injuries,and Risk Factors Study(GBD)2019 database.Age-standardized rates were calculated for TBL cancer from 1990 to 2019,adjusted for smoking and socio-demographic index(SDI).Deaths from TBL cancer and larynx cancer attributable to each risk factor were estimated for 33 Asian countries.Results:The age-standardized incidence and death rates for TBL cancer in Asia declined from 2010 to 2019,while the incidence rate of larynx cancer increased.Smoking was the leading specific risk factor for deaths from both TBL and larynx cancers.The burden of TBL cancer in Asian countries was influenced by SDI and smoking,particularly among males in Central Asia.Deaths,DALYs,and incidences of larynx cancer in East Asia had not changed significantly over the past 30 years,but showed slight downward trends in males and both sexes combined,and an upward trend in females in recent years.Conclusions:The past decade saw increases in numbers of incident cases and deaths from TBL cancer and larynx cancer in Asia.SDI and smoking were the main factors influencing the disease burden of TBL cancer in Asian countries.This study highlights the need for tailored cancer control programs to address the burden of respiratory tract cancers in different Asian countries.