scholarly journals The Volatility and Growth Trend of Field Production Mechanization Level in China - A Positive Analysis Based on Hodrick-Prescott Method

10.5772/18793 ◽  
2011 ◽  
Author(s):  
Huang Y. ◽  
Yang X. ◽  
Huang S. ◽  
Zhu R. ◽  
Zhang Z.
Keyword(s):  
Growth Trend ◽  
Positive Analysis ◽  
Field Production

Pakistan and the World Economy (Distinguished Lecture)

1998 ◽  
Vol 37 (4I) ◽  
pp. 181-201
Author(s):  
John Williamson
Keyword(s):  
Direct Investment ◽  
World Economy ◽  
Balance Of Payments ◽  
Engineering Industry ◽  
The European Union ◽  
Growth Trend ◽  
Difficult Situation ◽  
Financial Investment ◽  
The World ◽  
Deep Integration

This paper aims to explore Pakistan's geo-economic options in the difficult situation that confronts following the easing of sanctions, which added acute balance of payments pressures to its existing ailments of near-stagnant exports, a lower growth trend than in preceding decades, an unattractive climate for foreign investment, and weak social indicators. The first question explored is whether Pakistan has any opportunity of participating in a regional trade grouping. It is argued that the only conceivable way of achieving this would involve the development of SAARC, which would demand a profound transformation of Indo-Pakistani relations (though one no more profound than that realised in Franco-German relations since the founding of what is now known as the European Union). One benefit of achieving deep integration through SAARC is that this would create the possibility of Pakistan developing a serious engineering industry far more rapidly than will otherwise happen. In the absence of deep integration in SAARC, it is argued that Pakistan's best option would be a policy close to unilateral free trade, so as to place it in a position to take advantage of whatever the next generation of labour-intensive activities demanded by the world economy proves to be. Under either of those scenarios, the reestablishment of a dynamic industrial sector will require the maintenance of a competitive exchange rate, something that, it is argued, is not necessarily guaranteed by floating. The paper also discusses the role of inward direct investment in contributing to the export success of East Asia, and considers whether the expatriate Pakistani community might be capable of playing a role comparable to that played by the overseas Chinese in nurturing the Chinese export expansion of the last two decades. It is suggested that such a hope was set back by the extra-legal attempt to renegotiate power tariffs with the independent power producers in the course of 1998, and that Pakistan needs to become a country of laws rather than discretion if foreign investors, including expatriate Pakistanis, are ever to find the country an attractive export platform. While more inward direct investment would almost certainly be beneficial, the same is not true for inward financial investment, where too large an inflow can easily expose a country to very significant risks, as the East Asian crisis showed. In the long run, Pakistan needs to be prepared to repel excessive capital inflows if they materialise; but its immediate problem is still balance of payments pressure, and this seems to demand targeting a major and sustained improvement in the current account over the next several years.

Research on the Marketing Strategy of Online Education -- Taking New Oriental as an Example

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Jialu Chen ◽  
Yingxiao Han ◽  
An Li
Keyword(s):  
Online Learning ◽  
Online Education ◽  
Online Teaching ◽  
Large Scale ◽  
Target Market ◽  
Growth Trend ◽  
Continuous Growth ◽  
Financial Investment ◽  
Marketing Mode ◽  
Marketing Costs

In recent years, with the development of society and the progress of science and technology, online learning has penetrated into people's daily life, and people's demand for high-quality curriculum products is more and more strong. From a macro perspective, the continuous growth of national financial investment in education, the continuous upgrading of China's consumption structure, the development of 5G technology and the popularization of AI intelligence make online teaching less limited. The online education industry is showing an explosive growth trend. More and more online education institutions are listed for financing, and the market value is soaring. However, in 2019, except for GSX, the latest online learning platforms such as New Oriental, Speak English Fluently and Sunlands, have been in a state of loss. Most of these agencies seize the market by increasing advertising investment, but at the same time, they also bring huge marketing costs, which affect the financial performance of the company. With the enhancement of Matthew effect, large-scale educational institutions occupy a large market through free classes and low-price classes, while small and medium-sized institutions with weak capital strength are often unable to afford high sales costs, facing the risk of capital chain rupture. Taking new Oriental online as an example, this paper analyzes the problems existing in the marketing strategies of online education institutions. It also puts forward suggestions on four aspects, which are target market, differentiated value, marketing mix and marketing mode, so as to make sure that online education institutions can control marketing expenses and achieve profits by improving course quality, expanding marketing channels and implementing precise positioning.

PHYSIOLOGICAL AND HYGIENIC CHARACTERISTICS OF THE HEALTH STATUS OF ADOLESCENTS STUDYING THE PROFESSION DRILLER

2018 ◽  
pp. 18-21
Author(s):  
M.Yu. Stupina ◽  
N.P. Setko
Keyword(s):  
Health Status ◽  
Mental Performance ◽  
Growth Trend ◽  
Biological Adaptation ◽  
Functional Reserves

The article presents data on the features of functional reserves, the level of biological adaptation, mental performance of students by the profession driller. We found that more than half of the adolescents had reduced adaptive reserves of varying severity. Thus, the level of functional reserves, which was reduced relative to the physiological norm, was noted in 89 % of the 1st year, 83.4 % in the 2nd year and 93.3 % in the 3rd year students. In parallel, there was the growth trend to the 3rd year of study from the students number with reduced performance (from 27.6 % to 33.3 %) and an increase by 1.6 times of the students number with a significantly reduced level of performance.

Robotics in horticultural field production

2010 ◽  
Vol 6 (3) ◽  
pp. 1-11 ◽  
Author(s):  
Avital Bechar
Keyword(s):  
Field Production

scholarly journals Bioactive Compounds, Antioxidant Activity and Growth Behavior in Lettuce Cultivars Grown under Field and Greenhouse Conditions

Proceedings ◽  
2020 ◽  
Vol 70 (1) ◽  
pp. 52
Author(s):  
Melisa Lanza Volpe ◽  
Verónica C. Soto Vargas ◽  
Anabel Morón ◽  
Roxana E. González
Keyword(s):  
Antioxidant Activity ◽  
Bioactive Compounds ◽  
Antioxidant Activities ◽  
Growth Conditions ◽  
Growth Behavior ◽  
Total Phenolic ◽  
Spectrophotometric Methods ◽  
Leafy Greens ◽  
Growing Conditions ◽  
Field Production

Lettuce (Lactuca sativa L.) is one of the most important leafy greens worldwide. The nutritional value of its edible leaf depends on different factors including type and growing conditions. The aim was to determine the bioactive compounds content, antioxidant activity and growth behavior of twenty-two lettuce genotypes, cultivated under field and greenhouse conditions. Total phenolic compound, chlorophylls, carotenoids, anthocyanin contents and antioxidant activities were analyzed by spectrophotometric methods. Data were analyzed by analysis of variance (ANOVA). Significant differences between bioactive compounds, antioxidant activity and growth behavior were found among cultivars and morphological types, for both growth conditions. Carotenoid and chlorophyll content was higher in greenhouse conditions for all genotypes. In field production, butterhead and iceberg lettuces showed lower content of these bioactive compounds. The red-pigmented Falbala cultivar from field production showed the highest level of polyphenols and anthocyanin. Meanwhile, in greenhouse conditions, the oak leaf cultivar Grenadine displayed the highest concentration of these phenolic compounds. The iceberg type lettuce showed the lowest percentages of antioxidant activity in both environments. The results showed the effect of growing conditions and the high variability in lettuce bioactive compounds content and antioxidant activity among the different types.

scholarly journals Ensemble Machine Learning Assisted Reservoir Characterization Using Field Production Data–An Offshore Field Case Study

Energies ◽  
2021 ◽  
Vol 14 (4) ◽  
pp. 1052
Author(s):  
Baozhong Wang ◽  
Jyotsna Sharma ◽  
Jianhua Chen ◽  
Patricia Persaud
Keyword(s):  
Machine Learning ◽  
Random Forest ◽  
Reservoir Characterization ◽  
Time Lapse ◽  
Production Data ◽  
Oil Saturation ◽  
Ensemble Machine Learning ◽  
Input Parameters ◽  
Saturation Profiles ◽  
Field Production

Estimation of fluid saturation is an important step in dynamic reservoir characterization. Machine learning techniques have been increasingly used in recent years for reservoir saturation prediction workflows. However, most of these studies require input parameters derived from cores, petrophysical logs, or seismic data, which may not always be readily available. Additionally, very few studies incorporate the production data, which is an important reflection of the dynamic reservoir properties and also typically the most frequently and reliably measured quantity throughout the life of a field. In this research, the random forest ensemble machine learning algorithm is implemented that uses the field-wide production and injection data (both measured at the surface) as the only input parameters to predict the time-lapse oil saturation profiles at well locations. The algorithm is optimized using feature selection based on feature importance score and Pearson correlation coefficient, in combination with geophysical domain-knowledge. The workflow is demonstrated using the actual field data from a structurally complex, heterogeneous, and heavily faulted offshore reservoir. The random forest model captures the trends from three and a half years of historical field production, injection, and simulated saturation data to predict future time-lapse oil saturation profiles at four deviated well locations with over 90% R-square, less than 6% Root Mean Square Error, and less than 7% Mean Absolute Percentage Error, in each case.

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