European experience of land resource potential development in the conditions of globalization

The article analyzes the use of land resources of countries in the context of globalization. Investment-attractive regions have been identified, the socio-economic and political conditions of which contribute to the seizure of land by foreign investors. Sources of food security of countries with developed economies are substantiated. Peculiarities of formation of land and resource space of European neo-colonial countries are determined. One of the most important historical events in the political and socio-economic dimensions of the world was colonialism, associated with the development of capitalism. In the book, Eric Wolfe, "Europe and People Without History", describes in detail the global expansion of the borders of European states in order to control both human and natural resources, as well as to expand global development and promote Christianity. European colonialism became an early form of globalization that shaped most of the world's current political borders. In this way, technologies, food and ideas based on the colonial countries - Britain, Spain, France, Portugal and the Netherlands, etc. were transported. The main goal is to use the limited resources of the colony country and make a profit. This approach is called neocolonialism (corporate colonialism), just as classical European colonialism aims at the comprehensive exploitation of natural resources, labor, and markets for superprofits.

Chemical Constituents and Pharmacological Activities of Steroid Saponins Isolated from Rhizoma Paridis

Rhizoma Paridis, the rhizome of liliaceous plants Paris polyphylla, is one of the most commonly used herbal drugs in China. Phytochemical and pharmacological studies have shown that steroid saponins were the major effective ingredients of Rhizoma Paridis to exert antitumor, anti-inflammatory, hemostasis, and antifibrosis functions. In this review, we discussed the chemical structures of steroid saponins and their related biological activity and mechanisms in cellular and animal models, aiming to provide a reference for future comprehensive exploitation and development of saponins.

Design Concept Generation With Variational Deep Embedding Over Comprehensive Optimization

This paper proposes a framework for generating design concepts through the loop of comprehensive exploitation and consequent exploration. The former is by any sophisticated optimization such as topology optimization with diversely different. The latter realization is due to the variational deep embedding (VaDE), a deep learning technique with classification capability. In the process of design concept generation first, exploitation through computational optimization generates various possibilities of design entities. Second, VaDE learns them. This learning encodes the clusters of similar entities over the latent space with smaller dimensions. The clustering result reveals some design concepts and identifies voids where as-yet-unrecognized design concepts are prospective. Third, the decoder of the learned VaDE generates some possibilities for new design entities. Forth such new entities are examined, and relevant new conditions will trigger further exploitation by the optimization. In this paper, this framework is implemented for and applied to the conceptual design problem of bridge structures. This application demonstrates that the framework can identify voids over the latent space and explore the possibility of new concepts. This paper brings up some discussion on the promises and possibilities of the proposed framework.

A digital control system designed for ore thermal furnaces producing metallurgical silicon

This paper considers the key control issues related to non-adjustable parameters in the production of metallurgical silicon in ore thermal furnaces. A series of experiments has been conducted to confirm the possibility of introducing the electrode off-position control. Thus, additional control parameters were introduced in the process control system. The electrode positioning algorithm was tested and adjusted to minimize electrode bending and reduce the risk of breakage and to minimize end cracking and spalling during restarting in the current production environment. An integrated 3D model of the thermal field distribution has been developed and built that accounts for the charcoal moisture content, the position of the electrodes and the power emitted as the charge gets hot. Substantiation is given to the application of this adaptive adjustment algorithm to control the changing parameters as determined by the process conditions, such as the moisture content of the charge, the position of the electrode, the power mode of the furnace. The authors propose to expand the existing control system by adding a digital module, i.e. due to the integration of electrode off-position signals and the use of the adaptive adjustment algorithm and avoiding using any additional corrective signals. This research was carried out as part of the Governmental Assignment No. 075-03-2020-127/1 for the year of 2020, Project No. FSRW-2020-0014. Subject: A crossdisciplinary approach to the comprehensive exploitation of natural resources and conservation. Area (a 2020 topic): “Comprehensive processing of minerals and man-made materials and gasification of solid hydrocarbons: A review and concept elaboration”. As greenhouse gases and carbon are produced as a result of electrode destruction, it is proposed to use the method of gasification and dispose of the heat produced.

Development of Technologies to Reduce Environmental Risk in Extracting Gold from Refractory Ores

The task of the countries of the Eurasian Economic Union is to look for effective technologies to recover gold from refractory ores while reducing the environmental hazard of the operations. In order to solve this problem, the Jin Xing reactant (a salt complex) was developed in the Kyrgyz Republic in the course of studying alternative highly effective agents for gold recovery from gold-bearing ores of different genesis. Joint studies of the Full Gold Mining Company, the Institute of Comprehensive Exploitation of Mineral Resources of the Russian Academy of Sciences and the Tae Jin Xing Science and Environmental Technology Company justified the application efficiency of the developed Jin Xing reactant. The paper presents the results of testing the new agent at a real mining operation.

Exploiting the learning resources offered by the Online Multimedia Module for Practicing Speaking Skills in English. Focus on STANAG 6001 Level 2. A practical demonstration

The present article aims to illustrate the teaching and learning possibilities as well as the benefits offered by the judicious and comprehensive exploitation of the available ICT online resources when aligning them to the objectives specific to one’s own language learning context. This presentation is articulated on two lines: the dissemination of the practical outcomes of a recent research projected conducted by the authors at “Mircea cel Bătrân” Naval Academy and the demonstration of how the online learning tool emerged as the result of capitalizing the findings of the aforementioned research project can be realistically used in a classroom setting with a help of sample lesson plan. Key words: ICT, ESL, testing speaking.

Cosmological parameter estimation via iterative emulation of likelihoods

ABSTRACT The interpretation of cosmological observables requires the use of increasingly sophisticated theoretical models. Since these models are becoming computationally very expensive and display non-trivial uncertainties, the use of standard Bayesian algorithms for cosmological inferences, such as Markov chain Monte Carlo (MCMC), might become inadequate. Here, we propose a new approach to parameter estimation based on an iterative Gaussian emulation of the target likelihood function. This requires a minimal number of likelihood evaluations and naturally accommodates for stochasticity in theoretical models. We apply the algorithm to estimate 9 parameters from the monopole and quadrupole of a mock power spectrum in redshift space. We obtain accurate posterior distribution functions with approximately 100 times fewer likelihood evaluations than an affine invariant MCMC, roughly independently from the dimensionality of the problem. We anticipate that our parameter estimation algorithm will accelerate the adoption of more accurate theoretical models in data analysis, enabling more comprehensive exploitation of cosmological observables.

Recent progresses on the boron species in aqueous solution: structure, phase equilibria, metastable zone width (MZW) and thermodynamic model

The complexity of boron species in aqueous solution becomes the bottleneck in development of boron resources from brine. The concentrations of different boron species and transformation mechanism among boron species are mainly affected with the total boron concentration, temperatures, pH of the solution, and cations in the solution. The change trends for concentration of total boron in the complicated aqueous solution can be obtained with the phase equilibrium results, but the accurate concentration of boron species in the solution cannot be obtained. The metastable zone width (MZW) of borates and H3BO3 changed with the concentrations of impurity ions, the stirring rate, cooling rate, and original temperature for the saturated solution. The Pitzer model is the effective method to calculate the concentration of boron species. More thermodynamic data at temperatures below and above 298.15 K are needed for model parameterization. The main problems existed in the systems containing boron species were summarized, and the future development direction is also discussed. The progresses on boron species in the aqueous solution can provide fundamental data in the comprehensive exploitation of the brine boron resource.

Predictions of Rock Temperature Evolution at the Lahendong Geothermal Field by Coupled Numerical Model with Discrete Fracture Model Scheme

The comprehensive exploitation of geothermal fields has an impact on the productivity of the reservoirs. To realize sustainable steam production, changes in the rock temperature need to be predicted and controlled. A coupled thermo-hydro-mechanical (THM) model employing COMSOL Multiphysics was proposed to study the characteristics of heat transfer, fluid flow, and solid deformation at the Lahendong geothermal field, in North Sulawesi, Indonesia. The numerical results were compared with analytical and measured data in order to validate the numerical simulation. Based on the results, the predicted temperatures of the production wells showed significant decrease with the production time. In addition, a reduction in the reservoir temperature leads to lower specific gross electrical power within the production well, which should significantly reduce the sustainability of the power plant.