Zoneography of Mineral Resources

At present, Western Sahara is politically one of the most sensitive areas of the World. Its economic development could be achieved through the exploitation of mineral resources that can be found in the almost unexplored area administrated by the Saharawi Arab Democratic Republic. In this paper, we describe applications of known and cost-effective remote sensing techniques to detect and map areas containing mineral deposits, through the enhancement of Landsat ETM+ imageries. Several image processing techniques (false color composite, band ratioing, and principal component analysis) were used to highlight the presence of iron deposits. Two test areas were selected, one in Western Sahara and another one in Algeria. The occurrence of iron deposits in these test areas was assured using literature data for the Algerian test site and through a field campaign for the Western Sahara. There is good agreement between the ground truth data and the results obtained by the enhancements of the satellite images. Landsat images can be downloaded free of charge and their enhancements does not need expensive hardware or software tools. Therefore this technology could be transferred to the Saharawi technicians, enabling them to explore and manage the mineral resources of their own country independently.

Mining is one of the oldest human activities and industries and involves exploration and exploitation of mineral resources. In addition, there are many areas of geology with the basic goal of collecting information for understanding the Earth's structure, and planning and conducting various types of geological research of mineral resources and raw materials. Mining is the holder of the mineral raw materials management like a non-renewable natural resource. The utilization value of mineral raw materials increases but constantly changes, depending on the needs, so the task of the mining and geological professions is to continuously valorization of their value. Miners and geologists should be actively involved in spatial planning and solving of potential activation of a particular mine location in terms of increasing the number of inhabitants and reducing living space with adequate environmental protection. Mining activities are predetermined by the place of mineral resources and raw materials occurrence and are limited by the real conditions and possibilities of a certain community and society. It is necessary to determine the real possibilities of exploitation because the organization of mining production at any cost is humanistically, ecologically and economically speaking, unsustainable. The mineral resources of the Republic Srpska enable the exploitation and processing of mineral raw materials in the metal, metal processing, construction, chemical, cement, ceramics construction materials industry etc. The largest part (over 90% in terms of value) are reproductive materials for processing in other industries, a smaller part are products that go directly to the market. In the conditions of increased and faster technological development and the tendency of increasing exploitation of natural resources in the world with changes in previous conceptions of life, there was a need to analyze the sustainability of natural and raw mineral resources for further development of Republika Srpska. The issue of sustainable development, in terms of strengthening the economic structure and geopolitical position of RS and BiH in relation to the surrounding countries, becomes a matter of strategic approach to the organization and development of the mineral complex.

1. Antarctic resources policy: an introduction Francisco Orrego Vicuna Part I. The State of Antarctic Knowledge and Experience: 2. Antarctica: its history and development V. E. Fuchs 3. The living resources of the Southern Ocean: a scientific overview George A. Knox 4. The mineral resources of Antarctica: progress in their identification Tore Gjelsvik 5. Environmental factors in the development of Antarctica M. W. Holdgate 6. Cooperation in the Antarctic: a quarter of a century's experience J. A. Heap Part II. The Policy for the Conservation of the Living Resources of Antarctica: 7. Scientific and economic considerations relating to the conservation of marine living resources in Antarctica D. L. Powell 8. The implementation of the Convention on the Conservation of Antarctic Marine Living Resources: needs and problems Takesi Nagata 9. The regime for the conservation of Antarctica's living resources Josyane Couratier 10. The Canberra Convention: objectives and political aspects of its negotiation Fernando Zegers Part III. The Policy for the Exploration and Exploitation of the Mineral Resources of Antarctica: 11. Geologic data and its impact on the discussion on a regime for mineral resources Oscar Gonzalez-Ferran 12. Basic conditions for the exploration and exploitation of mineral resources in Antarctica: options and experiences Egil Bergsager 13. Oil as a special resource: problems and experiences Gilbert Guillaume 14. An overview of the problems which should be addressed in the preparation of a regime governing the mineral resources of Antarctica C. D. Beeby 15. The definition of a regime on Antarctic mineral resources: basic options Francisco Orrego Vicuna 16. Criteria for access to the resources of Antarctica: alternatives, procedure and experience applicable Keith Brennan Part IV. Issues on Antarctica and the Law of the Sea: 17. The application of the law of the sea to the Antarctic continent Alfred Van der Essen 18. The application of the law of the sea and the exclusive economic zone to the Antarctic continent Francisco Orrego Vicuna 19. The continental shelf of Antarctica: legal implications for a regime on mineral resources Maria Teresa Infante Part V. The Policy for Antarctic Cooperation: 20. Antarctica's role in international relations Roberto E. Guyer 21. Alternatives for cooperation and institutionalisation in Antarctica: outlook for the 1990s R. Tucker Scully 22. Resource development in polar regions: comments on technology E. F. Roots 23. Jurisdictional problems in relation to Antarctic mineral resources in political perspective Finn Sollie.

Factor analysis aims to reduce the amount of information from the original variable without losing important information. A factor is a collection of reduced variables. Several methods can be used in factor analysis, the most common of which are principal component analysis and maximum likelihood. The principal component analysis technique was used in this study. This technique was chosen because it better represents the purpose of the analysis than others. A case study of beef gravel is used to supplement the explanation of factor analysis using the Principal Component Analysis (PCA) technique. The goal of this study was to identify the most important factors influencing beef gravel quality to maintain product quality. The main factor is the volume of soaking water, and the second is the volume of soaking two dishes. These two factors have a cumulative variance proportion of 55%, indicating that they can influence the quality of the gravel. In contrast, the rest can be influenced by other factors not revealed in the research model.

Urmia Lake in the northwestern of Iran is a hypersaline water body and has become an environmentally important issue especially due to the presence of an infrequent aquatic species, Artemia Urmiana. During the last three decades, several considerable man-made changes including river damming and construction of a causeway across the lake affected the lake salinity. This article aims to propose a new approach of salinity modeling using a reduced-order model based on MIKE21 simulation model, in conjunction with principal component analysis (PCA) technique. At first, spatial variation of salinity in the lake was simulated by MIKE21 to prepare the input information for the PCA. Then, the dominant modes of salinity were determined by PCA technique while MIKE21 simulated results were compared with the output of developed reduced order model. Findings indicated that MIKE21's results closely matched the experimental data collected by field study. Also, the first 10 PCs among 974 modes computed by the reduced order model conserved approximately over 93% of the system variance. Therefore, the reduced order model was sufficient to capture the variation of salinity in the lake using a few first PCs. In other words, it was generally found that improvements in the simulated salinity in the lake provided by reduced order model were comparable to MIKE21 simulations.

Factorial techniques are widely used in Social Network Analysis to analyze and visualize networks. When the purpose is to represent the relational similarities, simple correspondence analysis is the most frequent used technique. However, in the case of affiliation networks, its use can be criticized because the involved χ 2 distance does not adequately reflect the actual relational patterns. In this paper we perform a simulation study to compare the metric involved in Correspondence Analysis with respect to the one in Multiple Correspondence Analysis. Analytical results and simulation outcomes show that Multiple Correspondence Analysis allows a proper graphical appraisal of the underlying two-mode relational structure.

Sustainable resource management in China's energy mining sector: A synthesis of development and conservation in the FinTech era

Introduction: One of the stringent assumptions about covariates in the Cox hazard and Logistic regression modelling is that they should be independent. Incorporating correlated covariates as such into the model might distort the precision of the estimates due to multicollinearity. One way to deal with multicollinearity is by using Principal Component Analysis (PCA) technique. Aim: To demonstrate the application of PCA in dealing with correlated covariates while modelling time to event and casecontrol study data. Materials and Methods: This study was conducted at Jawaharlal Institute of Postgraduate Medical Education and Research, Puducherry, India, from February 2021 to January 2022. Two datasets were used for the demonstration i.e., data relates to a time to event outcome and a case-control study with binary outcome in which lipids were the correlated covariates. Three sets of Cox regression models were used to demonstrate change in hazard ratios with 95% Confidence Intervals (CI) for evaluating the effect of intervention at a different time of lipid measurement. Model I has evaluated treatment/ Body Mass Index (BMI) effect on the outcome by ignoring the effect of lipid parameters. Model II has evaluated treatment/ BMI effect on the outcome by incorporating lipid variables but ignoring multicollinearity. Model III has evaluated treatment/ BMI effect on the outcome by incorporating lipid variables through principal component analysis and thus adjusting for multicollinearity. Similarly, a logistic regression model was performed by using the same three sets of models to evaluate the effect of exposure (BMI). The comparability of lipids between the two groups for both datasets was tested using Hotelling’s T-squared statistic. Results: The lipids measured at 12th, 24th and 36th months between the two groups in the first data set as well as between cases and controls in the second data set were statistically significant. In the first dataset, at baseline, the Hazard Ratio’s (HR’s) were statistically similar irrespective of the models used; while decreasing successively with narrowing 95% CI’s as moving from model I to model III for the lipid measured at 12th, 24th and 36th months. Further, at 24th and 36th months, the HR in model-III found to be significant. In the second data set, the Odds Ratio (OR) were significant for all the three models and it was almost similar for model I and II but in model III it was elevated. Conclusion: The multicollinearity issue should be properly addressed before including correlated covariates in the Cox regression hazard and Logistic regression model. The PCA technique would be a favourable method.

Nowadays, micro-machining processes are playing an important role because of the technological developments in the MEMS, electrical, medical and aerospace industries. In this research work, the principal component analysis (PCA) technique is used to examine and explains the influences of three process parameters (spindle speed, feed rate and depth of cut) on the output responses such as MRR and Ra in micro-end milling process. Also this approach is used for the optimisation of multiple responses in micro-end milling operation to achieve maximum metal removal rate (MRR) and minimum surface roughness (Ra). Further, the optimised machining parameters were determined considering the multiple response objective using multiple response performance index value. The predicted value of multiple response performance index (Z) is 0.6412 which is calculated by using additive model. The measured value of multiple response performance index is 0.707, which shows good prediction accuracy. From the experimental result, it was concluded that, the PCA technique is suitable for the optimisation of multi-response problem.

The insulated gate bipolar transistor (IGBT) is a crucial component of power converters (PCVs) and is commonly used in several PCVs topologies. On the other hand, the investigation and the study of the IGBT component show several changes within its behavior and lifetime, while this component is highly influenced by the operating conditions. Indeed, the monitoring of this component is necessary to minimize unexpected downtime of the wind energy system (WES). However, an accurate prediction of IGBTs remaining useful life (RUL) is the key enabler for life-time-optimized operation. Consequently, this work proposes a new prognostic approach for online IGBTs monitoring that adopts the time-domain analysis to extract useful information that is used as an input in the generation of the health indicator. Moreover, this approach is based on combining both of principal component analysis (PCA) technique and the feedforward neural network (FFNN) technique. PCA is used to reduce features extracted from IGBTs and the FFNN is implemented to achieve online regression of the trend parameter obtained from the PCA technique. To investigate and evaluate the performance of our idea we used the NASA Ames Laboratory Prognostics Center of Excellence IGBTs accelerated aging database. Finally, the achieved results clearly show the strength of the new trend parameter for IGBTs RUL prediction. The most notable strong correlation within the proposed approach is in relation to accuracy value, with an acceptable average accuracy rate of 60.4%.

In this paper, an application of the Principal Component Analysis (PCA) technique to data-driven approach is addressed. The proposed scheme is applied to OFSP-based adaptive output feedback control systems. It is well recognized that an adaptive control system based on OFSP conditions can achieve asymptotic stability via a static output feedback. However, these conditions are very restrictive on most realistic systems. Therefore, a parallel feedforward compensator (PFC) is introduced to alleviate such restrictions, but remains a steady state error which is removed by utilizing the feedforward input. Besides, the data-driven approach is one of effective control strategies for nonlinear systems in the process control, and the control parameters can be updated rapidly at each equilibrium point. However, there is no research work that had been done in terms of applying the data-driven approach in an adaptive control system based on OFSP. Therefore, once the robust stability of the adaptive control system based on OFSP can be guaranteed, the adaptive gains can be optimized by the data-driven approach such that the output performance is able to be improved. Moreover, the PCA technique is considered to imporove the data-driven approach in terms of computional cost. The proposed scheme is verified through a numerical example, the results of which demonstrate the effectiveness.

The purpose of this study is to provide new empirical evidence on the coupling relation between extraction of mineral resources and the ecological environment in the area of Inner Mongolia grassland and come up with countermeasures in favor of their balanced development. To this end, the study designs a comprehensive indicator framework and creates a coupling model based on the system theory and Lyapunov’s approximation theorem. The study gauges the coupling degree concerning mineral resources exploitation and the ecological environment over the period from 2002 to 2018, finding that the stress, which mineral resources exploitation exercises on the ecological environment in the grassland area of Inner Mongolian, is constantly intensifying. The study also finds that their coupling relationship turns out to be at a low level of coordination, even representing a downward trend. Albeit this region moves into the stage of harmonious development between mining activity and environmental protection, their coupling degree is tiny. This paper concludes with pointing out proposals on how to promote the balanced development of mineral resources exploitation and the ecological environment.

The conventions on climate change (Rio, 1992; Kyoto, 1997) and the agreement of 1994 relating to the Implementation of Part XI of UNCLOS on deep-sea mineral resources share many historical similarities. These agreements were signed in the 1990s – a decade of triumphant liberalism - in an intellectual context where the principles of the market economy were seen as universal guidelines. The principles set out in Rio in 1992 were well-intentioned: the aim was to reduce greenhouse gas emissions using mechanisms compatible with market rules, but also to allow all countries access to the Western-style development model based on growth, in accordance with the principle of “common but differentiated responsibilities”. These principles conditioned the post-Kyoto follow-up, but proved insufficient to orient research towards alternative technologies and to significantly slow down the race to invest in fossil fuels.The same applies to the implementation of part XI of the United Nations Convention on the Law of the Sea concerning deep-sea mining in the “Area” outside national jurisdiction. The 1982 Convention was also well-intentioned: it was intended to extend to the submarine domain the principle enunciated by Truman in 1945, according to which undersea mineral wealth is designed to be exploited for the development of mankind. Noting “the political and economic changes, including market-oriented approaches”, the 1994 agreement on the implementation of Part XI of the 1982 convention was tailored at the request of the industrialized countries, to bring it into line with the principles of the market economy. Although simplified, the provisions set out in this implementation agreement are extremely complex, due to the difficulty of reconciling: i) the great principle set out making the “Area” the common heritage of mankind; ii) the interests of member states; iii) the interests of private operators; iv) the World Trade Organization rules of free competition in a market economy; etc.In 2025, more than thirty years after the signing of the agreement on Part XI of the Convention on the Law of the Sea, the question arises: should we continue to attempt to reconcile principles that are per se incompatible? Thanks to the Antarctic Treaty of 1959 and its Madrid Protocol on environmental protection (Madrid, 1991), a ban on activities relating to mineral resources is established. Its strength derives from its simplicity. Its symbolic significance has enabled it to stand the test of time. It is a response to the impossibility of bringing into force the Convention on the Regulation of Antarctic Mineral Resource Activities (Wellington, 1988), which proposed a legal regime for the exploitation of resources. Why not make the Antarctic Treaty System a model for the ‘Area’? The International Seabed Authority would then see its mandate evolve from the management of exploitation to the protection of the ‘Area’, for the benefit of humanity as a whole.

Research on interest allocation in resource industry chain: taking resources exploitation in China as an example

This paper analyses the implications of using survey response scales with 10 or more categories which are often analysed using factorial techniques such as principal components analysis. Although it is the type of metric that determines the choice of this method of analysis, these scales, despite being considered metric, lack some metric properties, such that a score of 10 in a satisfaction survey, for example, does not represent twice the satisfaction of a score of 5. Their ordinal nature also means they cannot be treated as purely categorical. Thus, having both metric and categorical properties, they allow the use of different factor analysis techniques. The second objective is to apply different factorial techniques to a given test item in order to detect potential differences in the analytical information obtained by each method. Finally, we will discuss their relative advantages and disadvantages for use with this type of survey question.