A study of deep penetrating geochemistry--the surface exploration techniques for finding concealed mineral deposits--was carried out over the Spence porphyry copper deposit in Chile by Australian, Canadian and Chinese...A study of deep penetrating geochemistry--the surface exploration techniques for finding concealed mineral deposits--was carried out over the Spence porphyry copper deposit in Chile by Australian, Canadian and Chinese laboratories using selective weak leach methods and is briefly reviewed here. Erratic and weak copper anomalies were obtained above the Spence deposit, which is concealed below a thick piedmont gravel cover. In the literature, such patterns are common in most of the weak selective leach studies carried out over known buried deposits. During exploration in unknown area, such weak leach techniques lead to some success and many dry holes. In this paper, stronger selective leaching methods are developed for oxides and sulfides, which may be the stable end products transformed and accumulated by a mobile precursor phase carried upward through the overburden by gas or water through long spans of geological time. The data obtained by the methods developed in this paper produced more significant and consistent anomalous data than previous efforts. Consequently, the leach approaches described here may increase the effectiveness of deep penetrating geochemistry in exploration for con- cealed ore deposits.展开更多
In this conceptual paper,the author develops and presents a strategic decision-making framework that applies game theory to evaluate smart and natural farming approaches in India.In the face of increasing pressures fr...In this conceptual paper,the author develops and presents a strategic decision-making framework that applies game theory to evaluate smart and natural farming approaches in India.In the face of increasing pressures from climate change,resource scarcity,and evolving socio-economic landscapes,agriculture must adapt to the challenges of a volatile,uncertain,complex,and ambiguous(VUCA)world.When integrated with the Provision of Urban Amenities in Rural Areas(PURA)framework,VUCA offers a dynamic system perspective that contextualizes uncertainty and institutional capacity in farming systems.This study applies a modified Spence signaling model to capture how farmers-categorized as smart or natural versus conventional-choose to signal their sustainability credentials in an environment of asymmetric information.Using a combination of payoff matrix modelling,Bayesian belief updating,and evolutionary game simulations,the paper identifies strategic equilibria under varying levels of policy support,consumer trust,and signal cost.Farmers’decisions to adopt smart technologies or organic certifications are modelled as costly but credible signals of quality.These signals are then interpreted by receivers such as consumers,investors,or policymakers,who in turn adjust their support or market preferences.The analysis reveals conditions under which separating,pooling,and semi-separating equilibria emerge,and how these outcomes impact farmer behaviour and systemic sustainability.Case studies from Indian states such as Andhra Pradesh,Karnataka,and Punjab demonstrate how real-world farming programs mirror theoretical outcomes under different signalling strategies.The study also presents a robust methodological structure,combining conceptual modelling with policy simulation and validation through comparative cases.By integrating environmental,technological,and institutional perspectives,this paper contributes a hybrid strategic framework aligned with India’s Green Revolution 2.0 goals.It offers practical recommendations for policy design,infrastructure planning,and market mechanisms that support the scaling of sustainable agricultural practices through credible signalling and game-theoretic insights.展开更多
Under the condition of asymmetric information,the Spence 's Job Market Signaling Model is generally applied to inspect the design capability of a designer and his labor and efforts to be invested; however,since th...Under the condition of asymmetric information,the Spence 's Job Market Signaling Model is generally applied to inspect the design capability of a designer and his labor and efforts to be invested; however,since the"prior probability"and "posterior probability"have great uncertainties,the practical effect of this model is poor. On the basis of analyzing reverse selection questions,this paper provides a design capability screening model,which can make a designer automatically expose his hidden information so that necessary actions can be taken as required by the owner to realize risk sharing. A calculation example is finally given to demonstrate that the new model is helpful for an owner to select a designer with high professional level and to lead the designer to work hard,so it is of significant application value.展开更多
基金the Ministry of Land Resources and the Ministry of Science and Technology for the research funding of the projects:SinoProbe 04,973 Project 2007CB411406 and 863 Project 2007AA06Z133
文摘A study of deep penetrating geochemistry--the surface exploration techniques for finding concealed mineral deposits--was carried out over the Spence porphyry copper deposit in Chile by Australian, Canadian and Chinese laboratories using selective weak leach methods and is briefly reviewed here. Erratic and weak copper anomalies were obtained above the Spence deposit, which is concealed below a thick piedmont gravel cover. In the literature, such patterns are common in most of the weak selective leach studies carried out over known buried deposits. During exploration in unknown area, such weak leach techniques lead to some success and many dry holes. In this paper, stronger selective leaching methods are developed for oxides and sulfides, which may be the stable end products transformed and accumulated by a mobile precursor phase carried upward through the overburden by gas or water through long spans of geological time. The data obtained by the methods developed in this paper produced more significant and consistent anomalous data than previous efforts. Consequently, the leach approaches described here may increase the effectiveness of deep penetrating geochemistry in exploration for con- cealed ore deposits.
文摘In this conceptual paper,the author develops and presents a strategic decision-making framework that applies game theory to evaluate smart and natural farming approaches in India.In the face of increasing pressures from climate change,resource scarcity,and evolving socio-economic landscapes,agriculture must adapt to the challenges of a volatile,uncertain,complex,and ambiguous(VUCA)world.When integrated with the Provision of Urban Amenities in Rural Areas(PURA)framework,VUCA offers a dynamic system perspective that contextualizes uncertainty and institutional capacity in farming systems.This study applies a modified Spence signaling model to capture how farmers-categorized as smart or natural versus conventional-choose to signal their sustainability credentials in an environment of asymmetric information.Using a combination of payoff matrix modelling,Bayesian belief updating,and evolutionary game simulations,the paper identifies strategic equilibria under varying levels of policy support,consumer trust,and signal cost.Farmers’decisions to adopt smart technologies or organic certifications are modelled as costly but credible signals of quality.These signals are then interpreted by receivers such as consumers,investors,or policymakers,who in turn adjust their support or market preferences.The analysis reveals conditions under which separating,pooling,and semi-separating equilibria emerge,and how these outcomes impact farmer behaviour and systemic sustainability.Case studies from Indian states such as Andhra Pradesh,Karnataka,and Punjab demonstrate how real-world farming programs mirror theoretical outcomes under different signalling strategies.The study also presents a robust methodological structure,combining conceptual modelling with policy simulation and validation through comparative cases.By integrating environmental,technological,and institutional perspectives,this paper contributes a hybrid strategic framework aligned with India’s Green Revolution 2.0 goals.It offers practical recommendations for policy design,infrastructure planning,and market mechanisms that support the scaling of sustainable agricultural practices through credible signalling and game-theoretic insights.
基金Sponsored by State Key Laboratory of Subtropical Building Science,Autonomous Research Topics(Grant No.x2tjc7100870)
文摘Under the condition of asymmetric information,the Spence 's Job Market Signaling Model is generally applied to inspect the design capability of a designer and his labor and efforts to be invested; however,since the"prior probability"and "posterior probability"have great uncertainties,the practical effect of this model is poor. On the basis of analyzing reverse selection questions,this paper provides a design capability screening model,which can make a designer automatically expose his hidden information so that necessary actions can be taken as required by the owner to realize risk sharing. A calculation example is finally given to demonstrate that the new model is helpful for an owner to select a designer with high professional level and to lead the designer to work hard,so it is of significant application value.
