Practical Research on Promoting the Reform of“One Field for One Household”in Guoyang County

In recent years,the problem of farmland fragmentation has become a major obstacle to the development of modern agriculture,and the reform of“one field for one household”can effectively sort out cultivated land resources,increase contracted land area,improve land utilization rate,and effectively solve the problems of contracted land dispersion and farmland fragmentation in rural areas.This paper systematically anatomized the practice and effects of“one household,one field”reform in Guoyang County,analyzed the problems existing in the implementation process,and put forward corresponding suggestions and countermeasures,in order to provide experience and reference for the reform of one field in other regions.

Attributes of Specialized Households'Resilience and Its Impact on Rural Industrial Advancement:A Case Study of National Musical Instrument Production Specialized Households in Lankao County,Henan,China

Specialized households serve as the primary units within specialized villages in China,and their capacity to withstand risks and external influences significantly shapes the future trajectory of specialized villages and the overall vitality of the rural economy.In this study,we established a measurement indicator system based on the definition of specialized households’resilience,elucidating the logical connection between specialized households’resilience and rural industrial development in China.The musical instrument industry in Lankao County,Henan Province of China,was employed as a case;survey data,the entropy method,and an obstacle diagnosis model were used to examine how instrument production specialized households responded to the challenges posed by Corona Virus Disease 2019(COVID-19)and the tightening of national environmental protection policies,yielding the following key findings:1)there exists substantial variation in the comprehensive resilience levels among different specialized households;2)the ability to learn and adapt is the most significant contributor to the overall resilience level of specialized households;3)technological proficiency and access to skilled talent emerge as pivotal factors influencing specialized households’resilience;4)the positioning of specialized households within the industrial supply chain and the stability of their income have a direct bearing on their resilience level.The influence of specialized households’resilience on industrial development primarily manifests in the following ways:stronger resilience correlates with increased stability in production and sales,fostering a more proactive approach to future actions.However,heightened exposure to the external macroeconomic environment can lead to a higher rate of export reduction.To enhance the development resilience of entities like specialized households and family farms,and to invigorate rural economic development,escalating investments in rural science and technology and prioritizing the training of technical talent become imperative.

Development of Rural Tourism Industry under the Background of New Rural Construction : A Case Study of Henghe of Boluo County in Huizhou City

Henghe Town in Boluo County of Huizhou is taken as the research object for analysis.The research and analysis on the tourism industry in Henghe Town of Boluo County are conducted,and the basic situation of rural tourism construction in Henghe Town is sorted out.The forms of tourism industry in Henghe Town and the problems in rural tourism development are identified,and some targeted suggestions and countermeasures are proposed.It hopes to provide ideas and references for the construction of beautiful rural areas in mountainous areas of Guangdong Province,and theoretical reference and practical significance for the development of rural tourism in mountainous areas of Guangdong Province.

Mapping Air Quality Using Remote Sensing Technology: A Case Study of Nairobi County

Nairobi County experiences rapid industrialization and urbanization that contributes to the deteriorating state of air quality, posing a potential health risk to its growing population. Currently, in Nairobi County, most air quality monitoring stations use low-cost, inaccurate monitors prone to defects. The study’s objective was to map Nairobi County’s air quality using freely available remotely sensed imagery. The Air Pollution Index (API) formula was used to characterize the air quality from cloud-free Landsat satellite images i.e., Landsat 5 TM, Landsat 7 ETM+, and Landsat 8 OLI from Google Earth Engine. The API values were computed based on vegetation indices namely NDVI, TVI, DVI, and the SWIR1 and NIR bands on the QGIS platform. Qualitative accuracy assessment was done using sample points drawn from residential, industrial, green spaces, and traffic hotspot categories, based on a passive-random sampling technique. In this study, Landsat 5 API imagery for 2010 provided a reliable representation of local conditions but indicated significant pollution in green spaces, with recorded values ranging from -143 to 334. The study found that Landsat 7 API imagery in 2002 showed expected results with the range of values being -55 to 287, while Landsat 8 indicated high pollution levels in Nairobi. The results emphasized the importance of air quality factors in API calibration and the unmatched spatial coverage of satellite observations over ground-based monitoring techniques. The study recommends the recalibration of the API formula for characteristic regions, exploring newer satellite sensors like those onboard Landsat 9 and Sentinel 2, and involving key stakeholders in a discourse to develop a suitable Kenyan air quality index.

Science and Technology Commissioners Supporting High-Quality Development Project for Hundreds of Counties, Thousands of Towns, and Myriads of Villages in the Context of Rural Revitalization

This paper discusses the important role of science and technology commissioners in the high-quality development of hundreds of counties,thousands of towns,and myriads of villages in the context of rural revitalization,including building bridges,accelerating the transformation of achievements,promoting the value-added of the whole agricultural industry chain,and promoting the rapid development of rural industrial economy.It also discusses the working achievements of science and technology commissioners,in order to promote further development of rural revitalization in Guangdong Province.

Automated machine learning for rainfall-induced landslide hazard mapping in Luhe County of Guangdong Province,China

Landslide hazard mapping is essential for regional landslide hazard management.The main objective of this study is to construct a rainfall-induced landslide hazard map of Luhe County,China based on an automated machine learning framework(AutoGluon).A total of 2241 landslides were identified from satellite images before and after the rainfall event,and 10 impact factors including elevation,slope,aspect,normalized difference vegetation index(NDVI),topographic wetness index(TWI),lithology,land cover,distance to roads,distance to rivers,and rainfall were selected as indicators.The WeightedEnsemble model,which is an ensemble of 13 basic machine learning models weighted together,was used to output the landslide hazard assessment results.The results indicate that landslides mainly occurred in the central part of the study area,especially in Hetian and Shanghu.Totally 102.44 s were spent to train all the models,and the ensemble model WeightedEnsemble has an Area Under the Curve(AUC)value of92.36%in the test set.In addition,14.95%of the study area was determined to be at very high hazard,with a landslide density of 12.02 per square kilometer.This study serves as a significant reference for the prevention and mitigation of geological hazards and land use planning in Luhe County.

Research on the Reform of"Separation of Three Rights"for Rural Homesteads in Juancheng County,Shandong Province

In order to realize rural revitalization in an all-round way and promote the sustainable and healthy development of the economy and society,China is committed to deepening the pace of building a new countryside with Chinese characteristics.The reform of the"Separation of Three Rights"of rural homesteads is a key measure,which aims to activate rural resources,enhance the vitality of rural economic development,and then promote the overall process of rural revitalization.This study selects Juancheng County,Heze City,Shandong Province as a typical case.Through an in-depth analysis of the relevant policy orientation of the national homestead reform and the specific practice of local promotion work,it systematically sorts out the registration of homestead rights,transfer of use rights and relevant policy measures adopted in paid use,qualification conversion,policy publicity and system establishment.After in-depth research on the system reform practice of the"Separation of Three Rights"of homesteads in Juancheng County,this paper reveals the main problems existing in the current reform,including the lack of clear policy support for the mechanism of paid use of homesteads,difficulties in the process of identifying qualification rights and challenges,the imperfection of the transfer mechanism of use rights,and the lack or lag of relevant policies.A series of problem-oriented policy suggestions are put forward,including establishing and improving the system of paid use of rural homesteads,improving the income distribution mechanism,promoting the innovation of the mortgage guarantee system for the right to use homesteads,and optimizing the homestead qualification certification procedures.These suggestions aim to provide a useful reference for the Juancheng County Government in promoting the reform of"Separation of Three Rights"of homesteads,and then promote the rational allocation and efficient utilization of rural homestead resources.

Ethnic Customs and Rural Tourism Development in Xinbin Manchu Autonomous County of Fushun City

The development of ethnic minority tourism is currently a hot topic in domestic tourism development.As an important component of Chinese civilization,the Manchu people have created brilliant culture in the long river of historical development.As the hometown of the Manchu people,Fushun has unique folk cultural tourism resources and a strong ethnic flavor.Nowadays,under the promotion of the rural revitalization strategy,the construction of new rural areas is constantly developing,and rural tourism is gradually becoming a new industry.Therefore,in the context of the increasingly prosperous rural tourism industry,it has become increasingly important to combine the ethnic customs of Manchu culture with rural tourism.Taking the ethnic customs and integrated development of rural tourism in Xinbin Manchu Autonomous County of Fushun City,Liaoning Province as the research object,this paper mainly sorts out the current situation and characteristics of rural tourism development in the region,systematically explores the problems in development and how to further optimize development,and proposes new models suitable for the development of folk tourism in Xinbin of Fushun,in order to achieve maximum economic and social benefits and provide a reference for promoting the development of tourism in the region.

Machine Learning and Statistical Analysis in Groundwater Monitoring for Total Dissolved Solids Assessment in Winkler County, Texas

This research aims to develop reliable models using machine learning algorithms to precisely predict Total Dissolved Solids (TDS) in wells of the Permian basin, Winkler County, Texas. The data for this contribution was obtained from the Texas Water Development Board website (TWDB). Five hundred and ninety-three samples were obtained from two hundred and ninety-eight wells in the study area. The wells were drilled at different county locations into five aquifers, including Pecos Valley, Dockum, Capitan Reef, Edward Trinity, and Rustler aquifers. A total of fourteen different water quality parameters were used, and they include Potential hydrogen (pH), Sodium, Chloride, Magnesium, Fluoride, TDS, Specific Conductance, Nitrate, Total Hardness, Calcium, Temperature, Well Depth, Sulphate, and Bicarbonates. Four machine learning regression algorithms were developed to get a good model to help predict TDS in this area: Decision Tree regression, Linear regression, Support Vector Regression, and K-nearest neighbor. The study showed that the Decision Tree produced the best model with attributes like the coefficient of determination R2 = 1.00 and 0.96 for the training and testing, respectively. It also produced the lowest score of mean absolute error MAE = 0.00 and 0.04 for training and testing, respectively. This study will reduce the cost of obtaining different water quality parameters in TDS determination by leveraging machine learning to use only the parameters contributing to TDS, thereby helping researchers obtain only the parameters necessary for TDS prediction. It will also help the authorities enact policies that will improve the water quality in areas where drinking water availability is a challenge by providing important information for monitoring and assessing groundwater quality.

Spatiotemporal Analysis of the Effect of Ozone and Fine Particulate on CVD Emergency Room Visits in Harris County, Texas

Researchers have reported statistically significant associations between air pollutants and cardiovascular disease (CVD). However, few studies have investigated the acute cardiovascular effects of joint exposure to Ozone (O3) and fine particulate matter (PM2.5) in a location so distinctive like Harris County. The objective of this study was to investigate the association between the joint exposure to O3 and PM2.5, and emergency room diagnosis of CVD, in Harris County, Texas. Data used include all emergency room (ER) visits, and O3 and PM2.5 levels in the same years. Logistic regression modeled the effect of temperature, relative humidity, wind speed, wind, ozone, and fine particulate matter, averaged by day. Three models were estimated for all visits, visits during the months of April and September of 2005 and 2009, and for visits for patients from zip codes that are close to monitoring stations. A 1 μg/m3 increase in PM2.5 was associated with a 0.4% increase in the odds of cardiovascular disease emergency room diagnoses on the same day

Heavy Metals Uptake in Maize Grains and Leaves in Different Agro Ecological Zones in Uasin Gishu County

Maize grain is the second most vital food after wheat to humans and forms an important part of a human diet due to its nutrients. In Kenya, it is estimated that one out of every two acres of land put to crop production is under maize crop. Maize can also be fed whole to livestock (grazed or chopped and ensiled). Due to increased demand and the need for higher productivity, farmers have adopted modern farming methods which include use of fertilizers, pesticides, compost manure, and irrigation. Uses of these products elevate amounts of heavy metals in the soil. Such heavy metals such as lead (Pb) and cadmium when taken up by plants accumulate in the plants becoming toxic at high levels. It is essential to monitor these levels in grains and leaves to ensure they do not exceed the WHO permissible limits. This study aimed at monitoring the levels of heavy metals uptake in maize (Zea mays) grains and leaves is within permissible levels. Level of heavy metals in maize grains from different ecological zones in UG County had mean concentration of Zn 0.122, Cd 0.03, Cu 0.111, Co 0.04, and Pb 0.33 mg/kg. These results were below WHO standards except for Cadmium, Co, and Pb which were slightly higher than recommended standard. The study also found that maize leaves had mean concentration of Zn 0.115, Cd 0.04, Cu 0.117, Co. 0.041 and Pb 0.323 mg/kg. The results were below WHO standards except Co and Pb which had slightly higher levels than the recommended WHO standards. The analytical results from this study provided important baseline statistics on the concentration of selected heavy metals in maize grains and leaves besides being an important assessment of environmental pollution in rural areas where maize farming is predominant.

Natural Suitability Evaluation of Habitat Environment in Transition Zone Based on GIS Spatial Analysis Technology—Taking Beichuan County as an Example

Analyzing and measuring the spatial distribution pattern of human settlement environment suitability in Beichuan County China is of great significance for optimizing population distribution and promoting human development and environmental protection. Based on the DEM data and other data of Beichuan County, this paper uses GIS and ENVI software to extract four spatial distribution data of vegetation coverage index, topographic relief, hydrological index and natural disaster risk, and the spatial distribution pattern of natural suitability of human settlement environment in Beichuan County was obtained through overlay analysis. The results show: 1) Most of the areas with small topographic relief are located in the southeast of the study area, which is New Beichuan County and Anchang Town and Yong’an Town. The vegetation coverage index in the eastern region is higher, while the vegetation coverage index in the western and other high altitude regions is lower because there are more grasslands. 2) From the perspective of spatial distribution, Beichuan County as a whole is rich in water resources in the central and eastern part of the county, while the west is short of water resources;Chenjiaba Township, Guixi Town and Old Beichuan County are located on the fault zone with high natural disaster risk, the natural disaster risk is high in Piankou Township and Xiaoba Town and Kaiping Township Area. 3) The human settlement environment index of Beichuan county is 19.72 - 85.25;The natural suitability is the highest in the southeast, followed by the central and western regions, and the worst is located in the Piankou-Xiaoba and Old Beichuan-Guixi fault zones. 4) The general suitable area in Beichuan County is the largest, accounting for 30.4% of the total area of the study area. More suitable area ranked second, accounting for 29.33%;critical fitness suitable area accounted for 17.87%;the area of suitable highly suitable area accounted for 14.06%, and the unsuitable area accounted for 8.32%. Reasonable and efficient development and use of local resources is an inevitable way for the sustainable development of Beichuan County.

Exploring China's Western and Central County Systems Performance Measured by Outcomes Framework Scores-A Cross-sectional Survey of Routine Healthcare Data

This study was designed to measure the performance of county health systems in central and western China utilizing routine healthcare data.Drawing on a literature review and expert consultation,the study established a theoretical framework and an indicator system for performance review.Questionnaires were designed and disseminated to collect empirical data on health system performance in four counties of two central and western provinces.Quantitative data were subjected to descriptive statistical analysis through SPSS12.0.Three dimensions were introduced in the performance review framework—health outcomes,financial risk protection and consumer and provider satisfaction.Health outcomes were assessed from four secondary indicators：infant mortality rate;maternal mortality rate;under-5 child mortality rate;and the incidence of Class A and Class B notifiable diseases.Financial risk was assessed using two secondary indicators：the proportion of the cost of inpatient care that was reimbursed under the New Cooperative Medical System（NCMS） insurance scheme,and the rate of NCMS funds utilization.The assessment of satisfaction was made using two secondary indicators：the overall satisfaction of local residents with healthcare services,and the satisfaction of health practitioners at the township and village level.The study indicated better health system performance in the two counties in Chongqing than those in Shanxi.It was concluded that outcome framework scores can fairly reveal performance differences among county health systems in central and western China,and can provide practical evidence for optimizing the operation and inputs of county health systems.Caution needs to be exercised in generalizing such performance outcomes as many factors such as spending and organization that contribute to county health system performance were not included in the study.

Distribution characteristic and geological signiflcance of rare earth elements in Lopingian mudstone of Permian,Panxian county,Guizhou province

In order to discuss the geochemical characteristic of REEs(rare earth elements) and their geological application,we measured the contents of rare earth elements,trace elements and minerals of 29 Lopingian(Late Permian) mudstone samples in Panxian county,carrying out ICP-MS and XRD analysis.The results show that the amount of REEs(185.56-729.46 10à6) is high.The ratios of w(LREE)/w(HREE)(6.84-13.86) and w(La)N/w(Yb)N(1.01-3.02) show clear differentiation of LREEs and HREEs.RREE has a significantly or critically positive correlation with lithophile elements Th,Nb,Ta,Ti,Ga,Sc,Cs,Zr,Hf,Sr,Be and chalcophile element Zn,a critically negative correlation with siderophile element Fe and a slightly positive correlation with illite,illite smectite mixed layers and siderite.REEs originate mainly from terrigenous minerals,in an inorganic phase.Source rocks of our samples consist of Emeishan basalt and a small part of sedimentary rocks,as suggested by the distribution patterns of REEs and w(PREE)-w(La)/w(Yb) diagram.Moreover,abnormal surfaces near the sequence boundaries(SB2,SB3,SB4) are related with the boundaries,identifled by geochemical characteristics of the REEs,such as PREE,w(LREE)/w(HREE),Eu/Eu and Ceanom.

Analysis of Trends in Resistance to Fluoroquinolones and Extended Spectrum Beta-Lactams among <i>Salmonella</i>Typhi Isolates Obtained from Patients at Four Outpatient Clinics in Nairobi County, Kenya

Typhoid fever caused by the bacterium Salmonella enterica serovar Typhi (S. Typhi) causes an estimated 25 million illnesses and approximately 200,000 deaths annually mostly in developing countries. Although the management of typhoid fever has been effectively through antibiotic treatment, S. Typhi is increasingly becoming resistant to the currently recommended drugs. This study utilized a quasi-experimental design focusing on archived samples to describe antimicrobial susceptibility patterns of S. Typhi and determine the genetic basis of resistance to the two most commonly used classes of antimicrobials. A total sample size of 287 isolates of S. Typhi isolates stored in -80°C freezer at the Centre for Microbiology Research was utilized. Isolates were subjected to anti-microbial susceptibility testing to commonly available antimicrobials using disk diffusion method, then analyzed for trends in resistance to fluoroquinolones and extended spectrum beta lactams. Among the 287 isolates 158 (55.5%) were found to be Multi Drug Resistant (MDR). This implied that these isolates were resistant to all first line classes of treatment such as ampicillin, chloramphenicol and sulfamethoxazole-trimethroprim. In addition to this, these isolates were also resistant to at least one of the currently recommended drugs of choice, either a β-lactam or a fluoroquinolone. This study observed resistances at 18.2% and 15.4% to fluoroquinolones and cephalosporins respectively. PCR results revealed presence of blaTEM, blaINT and blaCTX-M genes coding for resistance to β-lactams in 80% of the isolates that had combined resistance to β-lactams and fluoroquinolones. It is likely that recent heavy use of these classes of antimicrobials is driving resistances to these antimicrobials.

Accessibility of Rural Tourism Projects in Wan’an County Based on Highway Network Data

Relying on the national rural revitalization policy and the policy of green rise of Jiangxi,the development of rural tourism in Wan’an County has ushered in new opportunities,and traffic accessibility is one of the important factors to be considered in rural tourism.Based on the accessibility evaluation method of the shortest travel time of highway traffic,this paper analyzes the accessibility of current tourism projects in Wan’an County.Research results show that;①the accessibility of rural tourism projects in Wan’an County is basically good except the Tianhu Mountain;②the accessibility of rural tourism projects in Wan’an County is strong in the north and weak in the south;③the transportation network serving the rural tourism in the north of Wan’an County is relatively perfect,while S221 Provincial Highway,Daqing-Guangzhou Expressway and Wan’an-Baoshan County Road play an important role in the rural tourism project in the south of Wan’an County.

Beiya Gold Deposit,Heqing County,Yunnan——One of China's Ten Biggest Gold Deposits

The Beiya gold polymetallic ore district covers an area of 22.06 km2 and is located 47.5 km away in the direction 172° from Heqing county seat of northwestern Yunnan. Its geographical coordinates are 100° 11 ′15″-100° 13′00″ E and 60°07′30″26°10′30″ N. Since its discovery in 1999 until November 31st 2013, it has had accumulative proven （111b＋122b＋331 ＋332＋333） gold metal amounts of 258.475 t at an average grade of 2.61 g/t. This deposit contains 88.98 million tons of paragenetic and associated iron ores, with TFe grade varying from 9% to 36%; metal amounts are： gold 27 t; copper 0.6188 million tons; silver 5439 t; lead 1.35 million ton; zinc 0.31 million ton; and sulfur content is 10.09 million ton. Beiya is one of the top ten largest gold deposits discovered in recent years in China.

THE DIFFERENT STUDY OF MARK TWAIN'S TWO WORKS ——The notorious jumping frog of Calaveras county and The Man that Corrupted Hadley

As a realism literator and master-hand of humor,Mark Twain’s fame is also very high in china.In my opinion,Mark Twain’s works of different periods not only have obvious commonness,but also hold distinct differences.His early works are on the whole humorous and optimistic,while his late works are basically ironic and pessimistic,especially his short stories which condense his sentiment of life and writing style.Mark Twain’s short stories begin from humorous works,which he called essays,but there is dramatis personage and story in them,so they have basic elements of short stories.His type of literature is flexible

Characteristics and driving factors of abandoned cultivated land in the hilly regions of southern China:A case study in Longnan,Jiangxi Province

The abandonment of cultivated land in southern China was gradually obvious.This research aims to provide a reference for solving the abandonment of cultivated land in hilly regions and promote rural development in China.We examined Longnan county located in the hilly regions of southern China as an example,where abandoned cultivated land is very common.We analyzed its land use data with a field survey to identify the abandoned cultivated land and geospatial characteristics.From the two aspects of social and natural factors,we analyzed the factors driving cultivated land abandonment with the help of Geodetector.The results showed that in 2019,the total area of the abandoned cultivated land in Longnan county was 4,962.35 hm^(2),covering 39.51% of this region.Among the topographic factors,the abandonment rate is positively correlated with elevation and slope gradient,but not with slope direction.Among the land parcel conditions,the abandonment rate is positively correlated with the access to road network and cultivation distance from settlement.At the county level,the abandonment of cultivated land in study area was affected by multiple factors,among which,the direct factor was the reduction in the labor force,such as the decrease of farming laborers and the increase of female population,which made farming unsustainable.Changes in production factors also promoted transformations in farmers’motivation to engage in production,such as the decrease of grain crops and the increase of cash crops,which was the indirect factor affecting cultivated land abandonment.The development of the rural nonagricultural industry affected farmers’enthusiasm,such as the decrease of farming households,which was the fundamental factor leading to cultivated land abandonment in this area.