The objective of this paper is the valuation of radiological health effects of Yatagan Power Plant. To this aim the radiation dose calculations are carried out for the population living within 80 km radius of the plan...The objective of this paper is the valuation of radiological health effects of Yatagan Power Plant. To this aim the radiation dose calculations are carried out for the population living within 80 km radius of the plant. The average of the maximum measured specific isotopes 238U, 232Th and 226Ra in the flying ash samples are considered as radioactive sources. Based on the dose calculations, first the stochastic health effects and then monetary health effects are estimated. The estimated total collective dose and economic value of the pre-dicted health effects are 0.3098 man Sv/y and 14791 US$/y respectively. The results obtained from the dose calculations are lower than the limits of International Commission of Radiation Protection (ICRP) and it does not pose any risk for public health. Monetary value of health risks is also negligible in comparison to the av-erage yearly sales revenue of the plant which is 250 million US$.展开更多
Cultural tourism helps preserve historical architecture and develop traditional arts in Xinjiangas the sun rises over Kazanqi in northwest China,the early morning silence is broken only by the tinkling sound of a hors...Cultural tourism helps preserve historical architecture and develop traditional arts in Xinjiangas the sun rises over Kazanqi in northwest China,the early morning silence is broken only by the tinkling sound of a horse’s sleigh bells.The old horsedrawn carriage bringing the day’s first visitors make its way slowly through the Kazanqi Folk Tourism District,a triple-A scenic spot in the Xinjiang Uygur Autonomous Region.No tourist buses or cars are allowed here.Visitors travel around the area using traditional means of展开更多
In this study,we develop and empirically test a valuation model for a commonly encountered option in office leases:a tenant’s option to renew at future market rent(a fair market value)with lease termination as the ma...In this study,we develop and empirically test a valuation model for a commonly encountered option in office leases:a tenant’s option to renew at future market rent(a fair market value)with lease termination as the maturity date.The model integrates decision analysis with real options analysis and market risk with private risks.“Option value”is defined as the private value of the option to either party pre-contract,while“option price”assumes a fair agreement between transacting parties and can be positive(rental premium paid)or negative(rental discount offered).Without manifest expectations,an analysis of a sample of office leases supports the model’s logic with price estimates in a practical range.The tenants’option price/value is shown to have a negative relationship with the original/renewal lease term;conversely,the landlords’option value is positively related to the original/renewal term.Comparative analyses show that transaction costs have a positive effect on tenants’option value and on prices,while vacancy costs and the vacancy period are both positively related to the landlords’option value and negatively related to price.Market rent is found to have a negative relationship with option price.Overall,this study provides a theoretical analysis and empirical tests of the value of a real option that allows option holders to renew/extend their contracts at a fair market value.展开更多
This paper presents a pilot effort to identify a methodology to more efficiently codify, quantify and illustrate the intrinsic values associated with ecological resources as expressed by stakeholders. Existing methodo...This paper presents a pilot effort to identify a methodology to more efficiently codify, quantify and illustrate the intrinsic values associated with ecological resources as expressed by stakeholders. Existing methodologies examine the value of ecological resources, but are often criticized for their monetary focus. These methods generally produce quasi-market values for non-market resources. The natural and cultural resources associated with a national park are analyzed in terms of the expressed values of active stakeholders to quantitatively produce multiple dimensions of value for each resource relative to all others. The resulting abstract and graphical value-space quantitatively reflects stakeholder participation, reflects non-market intrinsic value, and proactively contributes to environmental management and decision making.展开更多
The existing building (EB) as a system and part of the whole system is causing expansion knowledge, which we need if valuate heritage building (HB) or building in the city center (CCB). In many reasons, HB should not ...The existing building (EB) as a system and part of the whole system is causing expansion knowledge, which we need if valuate heritage building (HB) or building in the city center (CCB). In many reasons, HB should not be the subject of capital, and therefore not dependent on supply and demand. Valuation of HB or CCB needs attention to the understanding of the difference between buildings even if they stand in the same street or part of the city. This involves so many things, for example, intangible heritage, position on the street, sun expose, traffic, metro, bus station, school, park, etc. We need enough knowledge and mechanism for support to get it. How to get enough knowledge for valuation HB or CCB? Background of real estate value of cultural HB or CCB arises from the system, which needs many elements. Firstly, understanding the building as a system with materials, installations, details, and intangible cultural heritage has an impact on details in buildings. Secondly, HB or CCB is important to understand our history, and they are like books that content history knowledge of engineering and arts. Thirdly, property value does not always arise from buildings. Value involves traffic, sun-exposed, the distance from social buildings (hospital, bus station, railway station) or parks, noise, air pollution, etc. HB or CCB is part of the higher/bigger system. This type of real estate presents many reasons for introducing interdisciplinarity and is part of a complete global system. Interdisciplinarity requires knowledge and new approaches to help in the acquisition of knowledge. The goal of these approaches is how in a simpler and faster way to gain knowledge about the object, HB and CCB, and the wider system. Information technology allows collecting a wider range of information faster and better than in the past. At the same time, the same information changes into the necessary knowledge, but the question is if we have enough mass of data and what kind of data we need. The paper shows the theoretical background for the valuation of HB and CCB system.展开更多
Recreation and beach use constitute core aspects of coastal tourism development since they incorporate various stakeholders at different levels and diverse activities. This research investigates the economical recreat...Recreation and beach use constitute core aspects of coastal tourism development since they incorporate various stakeholders at different levels and diverse activities. This research investigates the economical recreational value of the coastal zone between Molos and Arkitsa, in prefecture of Fthiotida, in Sterea Ellada region, in Greece. The study area provides substantial benefits to host community and remains an advantageous natural setting for tourism sustainable development. An economic valuation of the benefits largely assists the efforts of the local authorities to establish viable tourism products and preferred destination attributes. The travel cost method was used to estimate recreation demand. Based on personal and on site interviews 1,433 questionnaires were collected. The consumer surplus per day enjoyed by the visitors is 22,352.28 （Euros）. The analysis assigned a considerable value to the coastal zone. Results shed light on core issues such as environmental management and proper resource allocation in view of finding areas for further improvement so as to increase consumer surplus by satisfying the needs and wants of coastal visitors.展开更多
Wisdom and Belief of the East-Understanding the Chinese Values Author:Han Zhen Price:RMB 95 Paperback,207 pages Published by Foreign Languages Press China is increasingly taking center stage in the international arena...Wisdom and Belief of the East-Understanding the Chinese Values Author:Han Zhen Price:RMB 95 Paperback,207 pages Published by Foreign Languages Press China is increasingly taking center stage in the international arena,and people from around the world are particularly interested in the path the country has taken and the direction it is heading in.More importantly,they want to know what China can contribute to the world.All this curiosity may be boiled down to a seemingly simple question:How to understand China?However,it is not a question that is easily answered in just a few words.展开更多
Water resource management is critical to Turkey’s economy and environment. The country has about 112 billion m<sup>3</sup> per year of economically exploitable water. However, population growth, climate c...Water resource management is critical to Turkey’s economy and environment. The country has about 112 billion m<sup>3</sup> per year of economically exploitable water. However, population growth, climate change and pollution of water bodies are putting increasing pressure on these resources. In this context, understanding the contribution of water to the economy and environment is crucial for its conservation. To meet this need, the World Bank launched a program aiming at improving valuation and accounting systems of natural resources in Turkey. As part of this program, this article estimates in monetary terms the economic value of water in Bey?ehir Lake, the largest freshwater lake in Turkey. Valuation is based on the Total Economic Value concept, which includes use and non-use values. The results show that the economic value of water is about seven times higher than its financial value. In addition, the economic value of water allocated for municipal use (TL5/m<sup>3</sup>) is substantially greater than that supplied for irrigation (TL0.5/m<sup>3</sup>). The analysis suggests that allocation of water from Bey?ehir Lake among different uses is inefficient. To validate this conclusion and improve allocation, a more comprehensive assessment of the economic benefits of water resources is needed, particularly of water supply for irrigation, municipal use, recreation and biodiversity. The analysis also indicates that economic valuation can be a powerful tool to improve water management at the river basin level.展开更多
The present research developed a bioeconomic model for control of Californian thistle （Cirsium arvense L. Scop.） in intensive, lowland sheep pastures in New Zealand. Production costs included two control methods： h...The present research developed a bioeconomic model for control of Californian thistle （Cirsium arvense L. Scop.） in intensive, lowland sheep pastures in New Zealand. Production costs included two control methods： herbicides and defoliation, with defoliation encompassing both physical means and biocontrol measures. The model was used to examine the economic value of a research programme into biological control of the weed, given several different future scenarios. These scenarios were high herbicide prices, a price premium for lamb raised without chemical herbicides, and development of herbicide resistance. The model results were used to estimate national impacts. If the only change in the agricultural sector was the cost of the biocontrol to the nation＇s farmers, the research programme to find an effective biocontrol agent had little economic impact. If other factors changed, such as the price of petroleum or levels of herbicide resistance in the weed. the model＇s results suggested that intensive sheep farming could grow or shrink by as much as NZ$219 million dollars over five years. In the latter case, having an alternative control method reduced potential losses and increased potential gains, resulting in a net benefit of between NZ$81 million and NZ$153 million. This work extended prior research in several ways. First. Californian thistle reproduces via root buds, which affected the modelling of weed behaviour. Secondly, the model allowed optimistation over continuous levels of weed control for two different methods. Thirdly, the model accounted for both weed control and damage to nitrogen-fixing clover from herbicide use. Finally, the research investigated optimal weed control in several different alternative future states.展开更多
Highlights:Values and valuing are seen as enhancing pedagogical actions.•Throughout the papers,the review of the literature is complemented and each research includes specific theoretical constructs.•Regarding researc...Highlights:Values and valuing are seen as enhancing pedagogical actions.•Throughout the papers,the review of the literature is complemented and each research includes specific theoretical constructs.•Regarding research methods,quantitative comparative research projects,which explore students'values related to mathematics,have been influencing other research about values.•A broad and shared theme by the group is the observation of the educational phenomena from a perspective that acknowledges culture and the humanness of the mathematical knowledge.In their research,the collective of authors truly incorporates humaneness in the production and in the teaching and learning of mathematics.展开更多
Amphibious vehicles are more prone to attitude instability compared to ships,making it crucial to develop effective methods for monitoring instability risks.However,large inclination events,which can lead to instabili...Amphibious vehicles are more prone to attitude instability compared to ships,making it crucial to develop effective methods for monitoring instability risks.However,large inclination events,which can lead to instability,occur frequently in both experimental and operational data.This infrequency causes events to be overlooked by existing prediction models,which lack the precision to accurately predict inclination attitudes in amphibious vehicles.To address this gap in predicting attitudes near extreme inclination points,this study introduces a novel loss function,termed generalized extreme value loss.Subsequently,a deep learning model for improved waterborne attitude prediction,termed iInformer,was developed using a Transformer-based approach.During the embedding phase,a text prototype is created based on the vehicle’s operation log data is constructed to help the model better understand the vehicle’s operating environment.Data segmentation techniques are used to highlight local data variation features.Furthermore,to mitigate issues related to poor convergence and slow training speeds caused by the extreme value loss function,a teacher forcing mechanism is integrated into the model,enhancing its convergence capabilities.Experimental results validate the effectiveness of the proposed method,demonstrating its ability to handle data imbalance challenges.Specifically,the model achieves over a 60%improvement in root mean square error under extreme value conditions,with significant improvements observed across additional metrics.展开更多
The method of collocating military talents is a difficult problem. It is different from other talents, for the characteristic of military talents. This paper presents a model for valuing military talents, which can as...The method of collocating military talents is a difficult problem. It is different from other talents, for the characteristic of military talents. This paper presents a model for valuing military talents, which can assists the military leaders to collocate military talents properly.展开更多
This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined Radial Basis Function Networks(RBFN)with three ensemble lear...This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined Radial Basis Function Networks(RBFN)with three ensemble learning techniques:DAGGING(DG),MULTIBOOST(MB),and ADABOOST(AB).This combination resulted in three distinct ensemble models:DG-RBFN,MB-RBFN,and AB-RBFN.Additionally,a traditional weighted method,Information Value(IV),and a benchmark machine learning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and validation.The models were developed using ten landslide conditioning factors,which included slope,aspect,elevation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to roads.These factors were instrumental in predicting the output variable,which was the probability of landslide occurrence.Statistical analysis of the models’performance indicated that the DG-RBFN model,with an Area Under ROC Curve(AUC)of 0.931,outperformed the other models.The AB-RBFN model achieved an AUC of 0.929,the MB-RBFN model had an AUC of 0.913,and the MLP model recorded an AUC of 0.926.These results suggest that the advanced ensemble ML model DG-RBFN was more accurate than traditional statistical model,single MLP model,and other ensemble models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.展开更多
The rapid population and land urbanization not only promoted economic development but also affected the ecosystem service value(ESV).In the context of new-type urbanization and green development,it’s essential to inv...The rapid population and land urbanization not only promoted economic development but also affected the ecosystem service value(ESV).In the context of new-type urbanization and green development,it’s essential to investigate the impacts of urbanization on ESV in China.However,a comprehensive and dynamic framework to reveal the relationship between ESV and urbanization processes is lacking.This study adopted multi-source datasets to portray China’s urbanization process by integrating population,land,and economic urbanization,eval-uated the ESV changes of 10 categories by gross ecosystem product(GEP)methods,and explored ESV changes within different urbanization scales and speeds.The results showed rapid urbanization in the population,land,and economic dimensions in China,with a faster process of economic urbanization.The ESV also exhibited an increasing trend,with higher levels in the southeastern coastal regions and lower levels in the northwestern regions.Urbanization had positive impacts on ESV across various research units,but the ESV exhibited heteroge-neous changes across different urbanization scales,speeds,and their interactive effects.The response of ESV to dynamic urbanization processes was influenced by socio-economic,ecological,and policy factors;it is essential to combine targeted measures with general ecological product value realization methods in each unit to maximize social-economic-ecological benefits.展开更多
The Regional Comprehensive Economic Partnership(RCEP)has created favorable conditions for building deeply integrated agricultural value chains(AVC)in Asia-Pacific.Based on the RCEP agreement,this study employed the gl...The Regional Comprehensive Economic Partnership(RCEP)has created favorable conditions for building deeply integrated agricultural value chains(AVC)in Asia-Pacific.Based on the RCEP agreement,this study employed the global trade analysis project(GTAP)model to evaluate the impact of RCEP on AVC of member countries in terms of time,tariff reduction,and reduction of non-tariff barriers(NTB).The results indicate that(1)the implementation of RCEP boosts the value-added to agricultural exports for most member countries,particularly in competitive industries;(2)the increase in domestic production and processing capacity,reflected in domestic value-added(DVA),is the primary factor driving the rise in the value-added of agricultural exports across various industries of member countries;(3)RCEP enhances the participation of most regional countries in AVC,with varying impacts on AVC positioning,thereby fostering regional AvC development;and(4)RCEP has a positive effect on AVC indicators both in the short and long term,with the effect becoming more pronounced over time.Additionally,reducing NTB enhances the positive effects of tariff reductions on AVC indicators.Based on the analyses,the following recommendations are proposed:(1)Leverage the development opportunities arising from RCEP implementation to enhance the agricultural DVA;(2)capitalize on cooperative opportunities created by RCEP to build cohesive regional AVC;and(3)prioritize the effective implementation of RCEP'shigh-qualityrules.展开更多
BACKGROUND Acute-on-chronic liver failure(ACLF)is a liver disease based on chronic liver disease,which is significantly influenced by clinical treatment regimen and disease status,and despite the existence of multiple...BACKGROUND Acute-on-chronic liver failure(ACLF)is a liver disease based on chronic liver disease,which is significantly influenced by clinical treatment regimen and disease status,and despite the existence of multiple prognostic assessment indicators for ACLF,the overall sensitivity and accuracy are relatively low.AIM To investigate the prognostic value of the combined detection of alpha-fetoprotein(AFP),plasma prothrombin activity(PTA),and serum prealbumin(PA)in ACLF.METHODS This retrospective study included 87 patients with ACLF admitted from February 2021 to February 2023 and categorized them into the survival(n=47)and death(n=40)groups according to their clinical outcomes 3 months posttreatment.All the participants underwent AFP,PTA,and PA level measurements upon admission.Baseline data,as well as AFP,PTA,and PA levels,were comparatively analyzed.Pearson correlation coefficients were utilized to analyze the correlations of AFP,PTA,and PA with different survival outcomes in patients with ACLF.Receiver operating characteristic(ROC)curves and areas under the curves were used to evaluate the predictive value of AFP,PTA,and PA for ACLF prognosis.RESULTS AFP,PTA,and PA levels were markedly decreased in the death group than in the survival group(P<0.05).Pearson analysis indicated a positive association of the AFP,PTA,and PA levels with the survival of patients with ACLF(P<0.05).ROC curve analysis determined the sensitivity and specificity of the combined diagnosis at 91.24%and 100.00%,respectively,both of which were notably increased compared to the single-index diagnosis.The ROC of their combined diagnosis was 0.989,significantly surpassing 0.907,0.849,and 0.853 of AFP,PTA,and PA,respectively.No statistically significant variance was determined in the sensitivity and specificity of the combined diagnosis vs the single detection(P>0.05).CONCLUSION The combined detection of AFP,PTA,and PA levels demonstrates favorable diagnostic value for the short-term prognosis of patients with ACLF,featuring high sensitivity and specificity.展开更多
Machine learning is employed to comprehensively analyze and predict the hardenability of 20CrMo steel.The hardenability dataset includes J9 and J15 hardenability values,chemical composition,and heat treatment paramete...Machine learning is employed to comprehensively analyze and predict the hardenability of 20CrMo steel.The hardenability dataset includes J9 and J15 hardenability values,chemical composition,and heat treatment parameters.Various machine learning models,including linear regression(LR),k-nearest neighbors(KNN),random forest(RF),and extreme Gradient Boosting(XGBoost),are employed to develop predictive models for the hardenability of 20CrMo steel.Among these models,the XGBoost model achieves the best performance,with coefficients of determination(R2)of 0.941 and 0.946 for predicting J9 and J15 values,respectively.The predictions fall with a±2 HRC bandwidth for 98%of J9 cases and 99%of J15 cases.Additionally,SHapley Additive exPlanations(SHAP)analysis is used to identify the key elements that significantly influence the hardenability of the 20CrMo steel.The analysis revealed that alloying elements such as Si,Cr,C,N and Mo play significant roles in hardenability.The strengths and weaknesses of various machine learning models in predicting hardenability are also discussed.展开更多
Pancreatic cancer is recognized as one of the leading causes of cancer mortality,representing the second most common source of cancer-related deaths within the gastrointestinal domain.Surgical resection is currently t...Pancreatic cancer is recognized as one of the leading causes of cancer mortality,representing the second most common source of cancer-related deaths within the gastrointestinal domain.Surgical resection is currently the only definitive treatment;however,the subtle emergence of symptoms often leads to a diagnosis at an advanced stage,with merely 10%-15%of patients being eligible for surgical intervention.The primary obstacle to achieving a potential radical resection is the presence of distant metastatic disease or invasion of adjacent major vascular structures.This review aims to highlight the critical role of endoscopic ultrasound in the diagnosis and staging of pancreatic tumors.We systematically searched PubMed,MEDLINE and Web of Science by using‘pancreatic cancer’and‘endoscopic ultrasonography’as keywords.Relevant studies were reviewed and analyzed.Endoscopic ultrasonography(EUS)is efficient in the diagnosis and staging of pancreatic cancer,past studies reported the accuracy of EUS is 63%to 94%for T-staging and 44%to 82%for N-staging but there are still limitations that need to be comprehensively applied with other diagnostic methods to evaluation of distant metastasis for surgical resectability.Our review aims to reveal the value for the staging of pancreatic cancer.展开更多
Rapid and accurate identification of high-quality patents can accelerate the transformation process of scientific and technological achievements, optimize the management of intellectual property rights and enhance the...Rapid and accurate identification of high-quality patents can accelerate the transformation process of scientific and technological achievements, optimize the management of intellectual property rights and enhance the vitality of innovation. Aiming at the shortcomings of the traditional high-value patent assessment method, which is relatively simple and seldom considers the influence of patentees, this paper proposes a high-quality patent method HMFM (High-Value Patent Multi-Feature Fusion Method) that fuses multi-dimensional features. A weighted node importance assessment method in complex network called GLE (Glob-Local-struEntropy) based on improved structural entropy is designed to calculate the influence of the patentee to form the patentee’s features, and the patent text features are extracted by BERT-DPCNN deep learning model, which is supplemented to the basic patent indicator system. Finally a machine learning algorithm is used to assess the value of patents. Experiment results show that our method can identify high-value patents more effectively and accurately.展开更多
This study investigated the application and the application value of intelligent emergency in emergency management in the big data environment.It addresses the neglect of the application value(performance)measurement ...This study investigated the application and the application value of intelligent emergency in emergency management in the big data environment.It addresses the neglect of the application value(performance)measurement of intelligent emergency,further improving the effectiveness of intelligent emergency management.First,approximately 3,900 documents from the intelligent emergency field are analyzed to determine the future research trend in intelligent emergency management.The socio-technical theory concerning technical and social systems is introduced.The emergency management system concepts of“technology enabling”and“enabling value creation”are defined according to bibliometric analysis and socio-technical theory.Second,a research framework that includes technology enabling and enabling value creation for the decision-making paradigm in emergency management according to the big data environment is constructed.A detailed analysis approach from intelligent emergency technology enabling to enabling value creation in emergency management is proposed.Finally,earthquake disasters are taken as examples,and specific analyses of the intelligent emergency enabling and enabling value creation are explored;enabling value creation is discussed based on measurable indicators.The clear concept of emergency management system technology enabling and enabling value creation,as well as the detailed analysis approach from intelligent emergency technology enabling to enabling value creation,provide a theoretical bases for scholars and practitioners to evaluate the value(performance)of intelligent emergency for the first time.展开更多
文摘The objective of this paper is the valuation of radiological health effects of Yatagan Power Plant. To this aim the radiation dose calculations are carried out for the population living within 80 km radius of the plant. The average of the maximum measured specific isotopes 238U, 232Th and 226Ra in the flying ash samples are considered as radioactive sources. Based on the dose calculations, first the stochastic health effects and then monetary health effects are estimated. The estimated total collective dose and economic value of the pre-dicted health effects are 0.3098 man Sv/y and 14791 US$/y respectively. The results obtained from the dose calculations are lower than the limits of International Commission of Radiation Protection (ICRP) and it does not pose any risk for public health. Monetary value of health risks is also negligible in comparison to the av-erage yearly sales revenue of the plant which is 250 million US$.
文摘Cultural tourism helps preserve historical architecture and develop traditional arts in Xinjiangas the sun rises over Kazanqi in northwest China,the early morning silence is broken only by the tinkling sound of a horse’s sleigh bells.The old horsedrawn carriage bringing the day’s first visitors make its way slowly through the Kazanqi Folk Tourism District,a triple-A scenic spot in the Xinjiang Uygur Autonomous Region.No tourist buses or cars are allowed here.Visitors travel around the area using traditional means of
基金research grants(P0030199 and P0038209)from the Hong Kong Polytechnic University。
文摘In this study,we develop and empirically test a valuation model for a commonly encountered option in office leases:a tenant’s option to renew at future market rent(a fair market value)with lease termination as the maturity date.The model integrates decision analysis with real options analysis and market risk with private risks.“Option value”is defined as the private value of the option to either party pre-contract,while“option price”assumes a fair agreement between transacting parties and can be positive(rental premium paid)or negative(rental discount offered).Without manifest expectations,an analysis of a sample of office leases supports the model’s logic with price estimates in a practical range.The tenants’option price/value is shown to have a negative relationship with the original/renewal lease term;conversely,the landlords’option value is positively related to the original/renewal term.Comparative analyses show that transaction costs have a positive effect on tenants’option value and on prices,while vacancy costs and the vacancy period are both positively related to the landlords’option value and negatively related to price.Market rent is found to have a negative relationship with option price.Overall,this study provides a theoretical analysis and empirical tests of the value of a real option that allows option holders to renew/extend their contracts at a fair market value.
文摘This paper presents a pilot effort to identify a methodology to more efficiently codify, quantify and illustrate the intrinsic values associated with ecological resources as expressed by stakeholders. Existing methodologies examine the value of ecological resources, but are often criticized for their monetary focus. These methods generally produce quasi-market values for non-market resources. The natural and cultural resources associated with a national park are analyzed in terms of the expressed values of active stakeholders to quantitatively produce multiple dimensions of value for each resource relative to all others. The resulting abstract and graphical value-space quantitatively reflects stakeholder participation, reflects non-market intrinsic value, and proactively contributes to environmental management and decision making.
文摘The existing building (EB) as a system and part of the whole system is causing expansion knowledge, which we need if valuate heritage building (HB) or building in the city center (CCB). In many reasons, HB should not be the subject of capital, and therefore not dependent on supply and demand. Valuation of HB or CCB needs attention to the understanding of the difference between buildings even if they stand in the same street or part of the city. This involves so many things, for example, intangible heritage, position on the street, sun expose, traffic, metro, bus station, school, park, etc. We need enough knowledge and mechanism for support to get it. How to get enough knowledge for valuation HB or CCB? Background of real estate value of cultural HB or CCB arises from the system, which needs many elements. Firstly, understanding the building as a system with materials, installations, details, and intangible cultural heritage has an impact on details in buildings. Secondly, HB or CCB is important to understand our history, and they are like books that content history knowledge of engineering and arts. Thirdly, property value does not always arise from buildings. Value involves traffic, sun-exposed, the distance from social buildings (hospital, bus station, railway station) or parks, noise, air pollution, etc. HB or CCB is part of the higher/bigger system. This type of real estate presents many reasons for introducing interdisciplinarity and is part of a complete global system. Interdisciplinarity requires knowledge and new approaches to help in the acquisition of knowledge. The goal of these approaches is how in a simpler and faster way to gain knowledge about the object, HB and CCB, and the wider system. Information technology allows collecting a wider range of information faster and better than in the past. At the same time, the same information changes into the necessary knowledge, but the question is if we have enough mass of data and what kind of data we need. The paper shows the theoretical background for the valuation of HB and CCB system.
文摘Recreation and beach use constitute core aspects of coastal tourism development since they incorporate various stakeholders at different levels and diverse activities. This research investigates the economical recreational value of the coastal zone between Molos and Arkitsa, in prefecture of Fthiotida, in Sterea Ellada region, in Greece. The study area provides substantial benefits to host community and remains an advantageous natural setting for tourism sustainable development. An economic valuation of the benefits largely assists the efforts of the local authorities to establish viable tourism products and preferred destination attributes. The travel cost method was used to estimate recreation demand. Based on personal and on site interviews 1,433 questionnaires were collected. The consumer surplus per day enjoyed by the visitors is 22,352.28 （Euros）. The analysis assigned a considerable value to the coastal zone. Results shed light on core issues such as environmental management and proper resource allocation in view of finding areas for further improvement so as to increase consumer surplus by satisfying the needs and wants of coastal visitors.
文摘Wisdom and Belief of the East-Understanding the Chinese Values Author:Han Zhen Price:RMB 95 Paperback,207 pages Published by Foreign Languages Press China is increasingly taking center stage in the international arena,and people from around the world are particularly interested in the path the country has taken and the direction it is heading in.More importantly,they want to know what China can contribute to the world.All this curiosity may be boiled down to a seemingly simple question:How to understand China?However,it is not a question that is easily answered in just a few words.
文摘Water resource management is critical to Turkey’s economy and environment. The country has about 112 billion m<sup>3</sup> per year of economically exploitable water. However, population growth, climate change and pollution of water bodies are putting increasing pressure on these resources. In this context, understanding the contribution of water to the economy and environment is crucial for its conservation. To meet this need, the World Bank launched a program aiming at improving valuation and accounting systems of natural resources in Turkey. As part of this program, this article estimates in monetary terms the economic value of water in Bey?ehir Lake, the largest freshwater lake in Turkey. Valuation is based on the Total Economic Value concept, which includes use and non-use values. The results show that the economic value of water is about seven times higher than its financial value. In addition, the economic value of water allocated for municipal use (TL5/m<sup>3</sup>) is substantially greater than that supplied for irrigation (TL0.5/m<sup>3</sup>). The analysis suggests that allocation of water from Bey?ehir Lake among different uses is inefficient. To validate this conclusion and improve allocation, a more comprehensive assessment of the economic benefits of water resources is needed, particularly of water supply for irrigation, municipal use, recreation and biodiversity. The analysis also indicates that economic valuation can be a powerful tool to improve water management at the river basin level.
文摘The present research developed a bioeconomic model for control of Californian thistle （Cirsium arvense L. Scop.） in intensive, lowland sheep pastures in New Zealand. Production costs included two control methods： herbicides and defoliation, with defoliation encompassing both physical means and biocontrol measures. The model was used to examine the economic value of a research programme into biological control of the weed, given several different future scenarios. These scenarios were high herbicide prices, a price premium for lamb raised without chemical herbicides, and development of herbicide resistance. The model results were used to estimate national impacts. If the only change in the agricultural sector was the cost of the biocontrol to the nation＇s farmers, the research programme to find an effective biocontrol agent had little economic impact. If other factors changed, such as the price of petroleum or levels of herbicide resistance in the weed. the model＇s results suggested that intensive sheep farming could grow or shrink by as much as NZ$219 million dollars over five years. In the latter case, having an alternative control method reduced potential losses and increased potential gains, resulting in a net benefit of between NZ$81 million and NZ$153 million. This work extended prior research in several ways. First. Californian thistle reproduces via root buds, which affected the modelling of weed behaviour. Secondly, the model allowed optimistation over continuous levels of weed control for two different methods. Thirdly, the model accounted for both weed control and damage to nitrogen-fixing clover from herbicide use. Finally, the research investigated optimal weed control in several different alternative future states.
文摘Highlights:Values and valuing are seen as enhancing pedagogical actions.•Throughout the papers,the review of the literature is complemented and each research includes specific theoretical constructs.•Regarding research methods,quantitative comparative research projects,which explore students'values related to mathematics,have been influencing other research about values.•A broad and shared theme by the group is the observation of the educational phenomena from a perspective that acknowledges culture and the humanness of the mathematical knowledge.In their research,the collective of authors truly incorporates humaneness in the production and in the teaching and learning of mathematics.
基金Supported by the National Defense Basic Scientific Research Program of China.
文摘Amphibious vehicles are more prone to attitude instability compared to ships,making it crucial to develop effective methods for monitoring instability risks.However,large inclination events,which can lead to instability,occur frequently in both experimental and operational data.This infrequency causes events to be overlooked by existing prediction models,which lack the precision to accurately predict inclination attitudes in amphibious vehicles.To address this gap in predicting attitudes near extreme inclination points,this study introduces a novel loss function,termed generalized extreme value loss.Subsequently,a deep learning model for improved waterborne attitude prediction,termed iInformer,was developed using a Transformer-based approach.During the embedding phase,a text prototype is created based on the vehicle’s operation log data is constructed to help the model better understand the vehicle’s operating environment.Data segmentation techniques are used to highlight local data variation features.Furthermore,to mitigate issues related to poor convergence and slow training speeds caused by the extreme value loss function,a teacher forcing mechanism is integrated into the model,enhancing its convergence capabilities.Experimental results validate the effectiveness of the proposed method,demonstrating its ability to handle data imbalance challenges.Specifically,the model achieves over a 60%improvement in root mean square error under extreme value conditions,with significant improvements observed across additional metrics.
文摘The method of collocating military talents is a difficult problem. It is different from other talents, for the characteristic of military talents. This paper presents a model for valuing military talents, which can assists the military leaders to collocate military talents properly.
基金the University of Transport Technology under the project entitled“Application of Machine Learning Algorithms in Landslide Susceptibility Mapping in Mountainous Areas”with grant number DTTD2022-16.
文摘This study was aimed to prepare landslide susceptibility maps for the Pithoragarh district in Uttarakhand,India,using advanced ensemble models that combined Radial Basis Function Networks(RBFN)with three ensemble learning techniques:DAGGING(DG),MULTIBOOST(MB),and ADABOOST(AB).This combination resulted in three distinct ensemble models:DG-RBFN,MB-RBFN,and AB-RBFN.Additionally,a traditional weighted method,Information Value(IV),and a benchmark machine learning(ML)model,Multilayer Perceptron Neural Network(MLP),were employed for comparison and validation.The models were developed using ten landslide conditioning factors,which included slope,aspect,elevation,curvature,land cover,geomorphology,overburden depth,lithology,distance to rivers and distance to roads.These factors were instrumental in predicting the output variable,which was the probability of landslide occurrence.Statistical analysis of the models’performance indicated that the DG-RBFN model,with an Area Under ROC Curve(AUC)of 0.931,outperformed the other models.The AB-RBFN model achieved an AUC of 0.929,the MB-RBFN model had an AUC of 0.913,and the MLP model recorded an AUC of 0.926.These results suggest that the advanced ensemble ML model DG-RBFN was more accurate than traditional statistical model,single MLP model,and other ensemble models in preparing trustworthy landslide susceptibility maps,thereby enhancing land use planning and decision-making.
基金supported by the Key Program of the National Natural Science Foundation of China(Grant No.41931293)the National Natural Science Foundation of China(Grant No.42271275).
文摘The rapid population and land urbanization not only promoted economic development but also affected the ecosystem service value(ESV).In the context of new-type urbanization and green development,it’s essential to investigate the impacts of urbanization on ESV in China.However,a comprehensive and dynamic framework to reveal the relationship between ESV and urbanization processes is lacking.This study adopted multi-source datasets to portray China’s urbanization process by integrating population,land,and economic urbanization,eval-uated the ESV changes of 10 categories by gross ecosystem product(GEP)methods,and explored ESV changes within different urbanization scales and speeds.The results showed rapid urbanization in the population,land,and economic dimensions in China,with a faster process of economic urbanization.The ESV also exhibited an increasing trend,with higher levels in the southeastern coastal regions and lower levels in the northwestern regions.Urbanization had positive impacts on ESV across various research units,but the ESV exhibited heteroge-neous changes across different urbanization scales,speeds,and their interactive effects.The response of ESV to dynamic urbanization processes was influenced by socio-economic,ecological,and policy factors;it is essential to combine targeted measures with general ecological product value realization methods in each unit to maximize social-economic-ecological benefits.
基金supported by the Major Subject of the National Social Science Foundation of China(21&ZD093)the Basic Research Funds of Chinese Academy of Agricultural Sciences(16100520240017)+1 种基金the Agricultural Science and Technology Innovation Program of Chinese Academy of Agricultural Sciences(CAASCSAERD-202402,10-IAED-04-2024)the earmarked fund for China Agriculture Research System(CARS-08).
文摘The Regional Comprehensive Economic Partnership(RCEP)has created favorable conditions for building deeply integrated agricultural value chains(AVC)in Asia-Pacific.Based on the RCEP agreement,this study employed the global trade analysis project(GTAP)model to evaluate the impact of RCEP on AVC of member countries in terms of time,tariff reduction,and reduction of non-tariff barriers(NTB).The results indicate that(1)the implementation of RCEP boosts the value-added to agricultural exports for most member countries,particularly in competitive industries;(2)the increase in domestic production and processing capacity,reflected in domestic value-added(DVA),is the primary factor driving the rise in the value-added of agricultural exports across various industries of member countries;(3)RCEP enhances the participation of most regional countries in AVC,with varying impacts on AVC positioning,thereby fostering regional AvC development;and(4)RCEP has a positive effect on AVC indicators both in the short and long term,with the effect becoming more pronounced over time.Additionally,reducing NTB enhances the positive effects of tariff reductions on AVC indicators.Based on the analyses,the following recommendations are proposed:(1)Leverage the development opportunities arising from RCEP implementation to enhance the agricultural DVA;(2)capitalize on cooperative opportunities created by RCEP to build cohesive regional AVC;and(3)prioritize the effective implementation of RCEP'shigh-qualityrules.
文摘BACKGROUND Acute-on-chronic liver failure(ACLF)is a liver disease based on chronic liver disease,which is significantly influenced by clinical treatment regimen and disease status,and despite the existence of multiple prognostic assessment indicators for ACLF,the overall sensitivity and accuracy are relatively low.AIM To investigate the prognostic value of the combined detection of alpha-fetoprotein(AFP),plasma prothrombin activity(PTA),and serum prealbumin(PA)in ACLF.METHODS This retrospective study included 87 patients with ACLF admitted from February 2021 to February 2023 and categorized them into the survival(n=47)and death(n=40)groups according to their clinical outcomes 3 months posttreatment.All the participants underwent AFP,PTA,and PA level measurements upon admission.Baseline data,as well as AFP,PTA,and PA levels,were comparatively analyzed.Pearson correlation coefficients were utilized to analyze the correlations of AFP,PTA,and PA with different survival outcomes in patients with ACLF.Receiver operating characteristic(ROC)curves and areas under the curves were used to evaluate the predictive value of AFP,PTA,and PA for ACLF prognosis.RESULTS AFP,PTA,and PA levels were markedly decreased in the death group than in the survival group(P<0.05).Pearson analysis indicated a positive association of the AFP,PTA,and PA levels with the survival of patients with ACLF(P<0.05).ROC curve analysis determined the sensitivity and specificity of the combined diagnosis at 91.24%and 100.00%,respectively,both of which were notably increased compared to the single-index diagnosis.The ROC of their combined diagnosis was 0.989,significantly surpassing 0.907,0.849,and 0.853 of AFP,PTA,and PA,respectively.No statistically significant variance was determined in the sensitivity and specificity of the combined diagnosis vs the single detection(P>0.05).CONCLUSION The combined detection of AFP,PTA,and PA levels demonstrates favorable diagnostic value for the short-term prognosis of patients with ACLF,featuring high sensitivity and specificity.
基金supported by the Key scientific and technological project plan of Hebei Iron and Steel Group(No.HG2023235).
文摘Machine learning is employed to comprehensively analyze and predict the hardenability of 20CrMo steel.The hardenability dataset includes J9 and J15 hardenability values,chemical composition,and heat treatment parameters.Various machine learning models,including linear regression(LR),k-nearest neighbors(KNN),random forest(RF),and extreme Gradient Boosting(XGBoost),are employed to develop predictive models for the hardenability of 20CrMo steel.Among these models,the XGBoost model achieves the best performance,with coefficients of determination(R2)of 0.941 and 0.946 for predicting J9 and J15 values,respectively.The predictions fall with a±2 HRC bandwidth for 98%of J9 cases and 99%of J15 cases.Additionally,SHapley Additive exPlanations(SHAP)analysis is used to identify the key elements that significantly influence the hardenability of the 20CrMo steel.The analysis revealed that alloying elements such as Si,Cr,C,N and Mo play significant roles in hardenability.The strengths and weaknesses of various machine learning models in predicting hardenability are also discussed.
文摘Pancreatic cancer is recognized as one of the leading causes of cancer mortality,representing the second most common source of cancer-related deaths within the gastrointestinal domain.Surgical resection is currently the only definitive treatment;however,the subtle emergence of symptoms often leads to a diagnosis at an advanced stage,with merely 10%-15%of patients being eligible for surgical intervention.The primary obstacle to achieving a potential radical resection is the presence of distant metastatic disease or invasion of adjacent major vascular structures.This review aims to highlight the critical role of endoscopic ultrasound in the diagnosis and staging of pancreatic tumors.We systematically searched PubMed,MEDLINE and Web of Science by using‘pancreatic cancer’and‘endoscopic ultrasonography’as keywords.Relevant studies were reviewed and analyzed.Endoscopic ultrasonography(EUS)is efficient in the diagnosis and staging of pancreatic cancer,past studies reported the accuracy of EUS is 63%to 94%for T-staging and 44%to 82%for N-staging but there are still limitations that need to be comprehensively applied with other diagnostic methods to evaluation of distant metastasis for surgical resectability.Our review aims to reveal the value for the staging of pancreatic cancer.
文摘Rapid and accurate identification of high-quality patents can accelerate the transformation process of scientific and technological achievements, optimize the management of intellectual property rights and enhance the vitality of innovation. Aiming at the shortcomings of the traditional high-value patent assessment method, which is relatively simple and seldom considers the influence of patentees, this paper proposes a high-quality patent method HMFM (High-Value Patent Multi-Feature Fusion Method) that fuses multi-dimensional features. A weighted node importance assessment method in complex network called GLE (Glob-Local-struEntropy) based on improved structural entropy is designed to calculate the influence of the patentee to form the patentee’s features, and the patent text features are extracted by BERT-DPCNN deep learning model, which is supplemented to the basic patent indicator system. Finally a machine learning algorithm is used to assess the value of patents. Experiment results show that our method can identify high-value patents more effectively and accurately.
基金the National Natural Science Foundation of China(Grant No.:71771061).
文摘This study investigated the application and the application value of intelligent emergency in emergency management in the big data environment.It addresses the neglect of the application value(performance)measurement of intelligent emergency,further improving the effectiveness of intelligent emergency management.First,approximately 3,900 documents from the intelligent emergency field are analyzed to determine the future research trend in intelligent emergency management.The socio-technical theory concerning technical and social systems is introduced.The emergency management system concepts of“technology enabling”and“enabling value creation”are defined according to bibliometric analysis and socio-technical theory.Second,a research framework that includes technology enabling and enabling value creation for the decision-making paradigm in emergency management according to the big data environment is constructed.A detailed analysis approach from intelligent emergency technology enabling to enabling value creation in emergency management is proposed.Finally,earthquake disasters are taken as examples,and specific analyses of the intelligent emergency enabling and enabling value creation are explored;enabling value creation is discussed based on measurable indicators.The clear concept of emergency management system technology enabling and enabling value creation,as well as the detailed analysis approach from intelligent emergency technology enabling to enabling value creation,provide a theoretical bases for scholars and practitioners to evaluate the value(performance)of intelligent emergency for the first time.
