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.

A Method for Detecting and Recognizing Yi Character Based on Deep Learning

Aiming at the challenges associated with the absence of a labeled dataset for Yi characters and the complexity of Yi character detection and recognition,we present a deep learning-based approach for Yi character detection and recognition.In the detection stage,an improved Differentiable Binarization Network(DBNet)framework is introduced to detect Yi characters,in which the Omni-dimensional Dynamic Convolution(ODConv)is combined with the ResNet-18 feature extraction module to obtain multi-dimensional complementary features,thereby improving the accuracy of Yi character detection.Then,the feature pyramid network fusion module is used to further extract Yi character image features,improving target recognition at different scales.Further,the previously generated feature map is passed through a head network to produce two maps:a probability map and an adaptive threshold map of the same size as the original map.These maps are then subjected to a differentiable binarization process,resulting in an approximate binarization map.This map helps to identify the boundaries of the text boxes.Finally,the text detection box is generated after the post-processing stage.In the recognition stage,an improved lightweight MobileNetV3 framework is used to recognize the detect character regions,where the original Squeeze-and-Excitation(SE)block is replaced by the efficient Shuffle Attention(SA)that integrates spatial and channel attention,improving the accuracy of Yi characters recognition.Meanwhile,the use of depth separable convolution and reversible residual structure can reduce the number of parameters and computation of the model,so that the model can better understand the contextual information and improve the accuracy of text recognition.The experimental results illustrate that the proposed method achieves good results in detecting and recognizing Yi characters,with detection and recognition accuracy rates of 97.5%and 96.8%,respectively.And also,we have compared the detection and recognition algorithms proposed in this paper with other typical algorithms.In these comparisons,the proposed model achieves better detection and recognition results with a certain reliability.

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.

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.

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.

On the Lower Cretaceous in Yixian County of Jinzhou City,Western Liaoning,China

Traditionally, the lacustrine deposits in Yixian County of Western Liaoning have been assigned to either ＂the Dakangpu Bed＂ of the Yixian Formation or the Jiufotang Formation. However,a 206pb/238U age of 126.47±0.87 Ma is newly obtained from the tuff sample （06051） of the lacustrine deposits in the Baitaigou fossil site of Potaizi village, Yixian County, indicating that the lacustrine deposits in Potaizi area are approximately equivalent to the Wumingshan volcanics of the Sihetun Bed of the Yixian Formation in Beipiao. From our new dating data have arisen some new problems： Where could we find the Jiufotang Formation in Yixian County？ How widely distributed is the Jiufotang Formation in Western Liaoning？ Could the traditionally named Jiufotang Formation somewhere in Western Liaoning be the synchronous deposits of other litho-units （e.g. the Yixian Formation） in different facies？ Could some lacustrine deposits somewhere in Western Liaoning have been assigned to the Jiufotang Formation？

Investigation of anaplasmosis in Yiyuan County,Shandong Province,China

Objective:To investigate the situation of anaplasmosis in Yiyuan county.Shandong Province. Methods:A total of 26 blood samples from febrile patients suspected of anaplasmosis,48 blood samples from healthy farmers,8 from dogs,and 10 from goats and 170 ticks were collected in the same area during 2005-2007,and detected by serological and molecular methods.Results: Eight confirmed cases and 6 probable cases were determined using serologic and molecular methods.The seroprevalence of Anaplasma phagocytophilum(A.phagocytophilum) was 26.7% in healthy cases.Nine out of 10 sheep samples and 7 out of 8 dog samples reacted positively to the A.phagocytophilum antigen.PCR amplification and sequencing of the 16SrRNA of,4. phagocytophilum gene showed that some samples from patients,goats and ticks were 100% identical.The seroprevalence of Rickettsia typhi was 22.9%,Orientia tsutsugamushi 6.3%, Rickettsia sibirica 27.1%,Coxiella burnetii 18.8%,Bartonella henselae 31.3%,and Borrelia burgdorferi 41.6%.Conclusions:It is important to make differential diagnosis of febrile patients and to apply treatment with specific antibiotics.It is needed to enforce essential prevention and control measures including tick control and to improve sanitation conditions.

Research on Competitiveness of County Economy Based on Factor Analysis and Cluster Analysis——Taking 88 Counties in Guizhou as Samples

17 indices are selected,such as the growth rate of total regional output value,the proportion of tertiary industry in GDP,per capita financial expenditure,and soil erosion rate of Guizhou Province in 2009.According to the relevant indices data of statistical yearbook and governmental website,by using the method of factor analysis and the method of cluster analysis,we assess the competitiveness of county economy in 88 counties of Guizhou Province.The results show that the competitiveness of county economy in Guizhou Province is impacted by factors of location and economic foundation.In addition,the resources environment,economic structure,economic developmental speed and other factors also impact the competitiveness of county economy in Guizhou Province.Based on these,in the light of the developmental characteristics of different counties in conjunction with different developmental advantages in different regions,we should adopt different developmental strategies according to local conditions,which is significant to rapid,healthy and sustainable development of county economy in Guizhou Province.

An Analysis on Rural Tourism Development Model in Yi County of Huangshan City

The Yi County's rural tourism model has changed a lot,gradually transferring from the single model to the composite model,which integrates sightseeing,touring,entertainment,leisure,vocation,and shopping. This article mainly focuses on the rural tourism development model. Yi County is a typical case for others,which gives a new development model.

The Mode of Promoting Industrial Targeted Poverty Alleviation through Land Circulation in Western Mountainous Region of China——A Case Study of Luquan Yi and Miao Autonomous County in Yunnan Province

In the industrial targeted poverty alleviation,land circulation is a key process. Based on the national strategy of targeted poverty alleviation,this paper combined the industrial development of targeted poverty alleviation with land circulation. According to the field survey on the current situation of land circulation and promotion of the industrial poverty alleviation in the typical project area of Zhongping Village in Zhongping Town and Jiaowuying Village in Jiulong Town in Luquan Yi and Miao Autonomous County in Yunnan Province,located in the high mountain canyon area of Jinsha River in the upper reaches of the Yangtze River in the west of China. This paper summarized and analyzed the organization and operation mechanism,basic practices and main results of the land circulation and promotion of industrial poverty alleviation model in the typical project area of the county. It also summarized the innovation and successful experience of the model,and then came up with measures to further promote the implementation of the model,so as to provide necessary reference for the implementation of land circulation and industrial targeted poverty alleviation for the poverty-stricken counties in Yunnan Province and similar provinces( cities,regions).

Countermeasures for Stressing Industry but Disregarding Agriculture in Resource-based Counties: A Case Study of Fugu County in Shaanxi Province

Industry re-feeding agriculture is an important strategy to boost agricultural modernization[1]. As to resource-based regions, the key thing is the way to implement the strategy of resource-based industry re-feeding agriculture. In fact, as a typical resource-based county, Fugu County realizes its quick economic development mainly depending on the local resources and industrial development. And the agricultural development is relatively lagging in the county, more people are beginning to denote themselves to industrial development due to high return brought by resource exploitation, which results that the contradiction between industry and agriculture is gradually prominent in the county. Therefore, it is necessary to seek for a new way to develop industry and agriculture in resource-based counties. This article mainly introduces the mode and method of "industry re-feeding agriculture" in Fugu County, analyzes and summarizes the implementation effects and achievements of modes as well as discusses the problems produced in the course of policy implementation and tries to find countermeasures to coordinate the contradiction between industry and agriculture, then further discuss the development perspective of industry and agriculture in Fugu County.

Land Remediation Projects in Poverty-stricken Counties in Tibetan Areas Promoting Poverty Alleviation——A Case Study of Songpan County,Sichuan Province

Songpan County is a poverty-stricken county in the four provinces of China,one of the concentrated areas in China. This paper analyzes the effectiveness of land consolidation in Songpan County to promote poverty alleviation and development through specific cases. The results show that land remediation has improved agricultural production conditions,promoted agricultural efficiency,increased farmers' income,improved rural living conditions,promoted the development of urban and rural integration,improved the ecological environment,solved the problem that restricts the survival and development of poverty-stricken areas,enhanced the ability of farmers to develop themselves,raised the level of civilization in rural areas,and promoted poverty alleviation and development. The poverty alleviation and development has provided certain financial support for land remediation. It has promoted land remediation,and pointed out key directions for land remediation. It has an indirect promotion effect on land remediation.

Rediscovery of the sun bear (Helarctos malayanus) in Yingjiang County, Yunnan Province, China

DEAR EDITOR, The sun bear, Helarctos malayanus （Raffles, 1821）, is a forest- dependent bear species distributed in tropical Southeast Asia. The species was previously reported from scattered localities in southwestern China, which is at the northeastern edge of its global range. Due to the scarcity of reliable recent records, some authorities cast doubt on the continued existence of sun bear in China. Here we present the rediscovery of this species in Yingjiang County, western Yunnan Province, China, near the international border with Myanmar＇s Kachin State.

Poverty Alleviation by Helping the Disabled in Impoverished Mountainous Areas of Western China:Taking Luquan Yi and Miao Autonomous County in Yunnan Province as an Example

Disabled people are the poorest in the rural poor with the biggest difficulty in getting rid of poverty and the highest rate of returning to poverty.They are one of the key groups in rural poverty alleviation work.This is the key and difficult point of winning the fight against poverty.Luquan County is a national poverty-stricken county with a large number of disabled people.Since the implementation of the fight against poverty in 2016,the county has introduced a series of policies and measures to help the disabled to get rid of poverty from housing,medical care,schooling for children of the disabled and income increase,and good results have been achieved in poverty alleviation,making important contributions to the poverty alleviation of the county.Based on field research and interviews,this paper analyzes and condenses the specific practices,main results and successful experience of the poverty alleviation model in Luquan County,Yunnan Province to provide necessary reference for the targeted poverty alleviation by helping the disabled in Yunnan Province and other provinces.

Land Suitability Evaluation of Zanthoxylum schinifolium in Dry and Hot Valley of Jinsha River: A Case Study of Jiaopingdu Town of Luquan Yi and Miao Autonomous County,Yunnan Province

According to the recent practice in Laopingzi Village,Jiaopingdu Town,Luquan Yi and Miao Autonomous County(Luquan County hereinafter)in dry and hot valley of Jinsha River,the development of Zanthoxylum schinifolium Sieb.et Zucc planting industry can help farmers gradually get rid of poverty and achieve a virtuous cycle of ecological environment.It is a sustainable poverty alleviation way.Based on the three aspects of soil properties,climatic conditions,and topographical conditions influencing the growth of Z.schinifolium,this paper selected eight evaluation factors to establish a suitability evaluation system for Z.schinifolium,used the analytic hierarchy process to determine the indicator,and determined the weight of the evaluation indicators.Besides,it calculated the comprehensive suitability index of land suitability of Z.schinifolium and evaluated the suitability of Z.schinifolium land in Jiaopingdu Town of Luquan County.The results showed that the suitable area for the cultivation of Z.schinifolium in Jiaopingdu Town reached 7270.78 ha,accounting for 88.69%of the study area;the area of unsuitable land was 922.07 ha,accounting for 11.31%of the study area.Among the suitable land areas,the high suitability area reached562.99 ha,accounting for 7.79%;the moderate suitability area was 2206.76 ha,accounting for 28.61%;the low suitability area was4599.03 ha,accounting for 63.6%.Based on the results of suitability evaluation,it came up with pertinent recommendations for the development of Z.schinifolium industry in Jiaopingdu Town.

Poverty Alleviation in the Poor Mountainous Areas of Western China by Supporting Industry: A Case Study of Xundian Hui and Yi Autonomous County in Yunnan Province

Poverty alleviation by supporting industry is a key measure to promote the poverty alleviation of relocated households. Taking Xundian County, the first county in Yunnan Province that has been lifted out of poverty, as an research case, this article analyzes and summarizes the industry-supporting poverty alleviation achievements and successful experience of two typical relocation areas (Shanhou Village and Eyang Village) in Xundian County. Practice has shown that the key to industry-supporting poverty alleviation lies in targetedness to strengthen the participation of poor farmers in industrial development. The interests of poverty alleviation entities should be linked by market mechanism to establish a benign interaction between all parties for win-win situation, thereby effectively guaranteeing the long-term and healthy development of poverty alleviation by supporting industry.