Investigating Economic Growth, Trade Issues and Future Energy Strategies for Central Asian Countries

Authors: Olimjon Djumabaev, Tatsuo Oyama

We examine the economic growth, energy development policies and strategies for the CAC from various perspectives. We apply statistical data analysis techniques and mathematical modelling methodologies focusing upon regression model analysis in order to deal with the economic and energy related data during the period 1990-2014, and to investigate the relationship among economic growth, energy production, and the trade of energy resources in order to find future desirable policies and strategies for the CAC. Findings show that energy production growth would bring statistically significant positive impact on GDP growth in fossil-fuel rich Kazakhstan, Uzbekistan, and Turkmenistan while we also find negative impact of GDP growth on the trade balance of the CAC except for Turkmenistan. Another finding follows that the foreign direct investment has a significant influence on the trade balance in the cases of Uzbekistan and Turkmenistan, which institute import substitution policies right from their initial years of independence. Based on these quantitative investigations on economy, energy, and trades we propose future energy strategies for the CAC, stressing the importance of diversification of economies.


Journal: American Journal of Operations Research
DOI: ajor.2018.86028(PDF)
Paper Id: 88919 (metadata)

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Determination of Selected Heavy Metals in the Organs of Some Animals Reared in the Gold-Mining Areas of Zamfara State, Nigeria

Authors: U. A. Birnin-Yauri, M. K. Musa, S. M. Alhaji

The study was conducted to determine the concentrations of heavy metals (Cu, Zn, Co, Mn, Fe, Cr, Cd and Pb) in the liver, kidney and flesh of Cattle, Sheep and Goats from Anka and Bukkuyum Local Government areas of Zamfara State Nigeria. The levels of heavy metals in the liver, kidney and flesh of beef, mutton and caprine ranged from 56 to 549 μg·g-1 for Zn; 109 to 576 μg·g-1 for Fe; 0.0 to 4.0 μg·g-1 for Pb; 2.52 to 13.25 μg·g-1 for Mn; 0.00 to 19.64 μg·g-1 for Cr; 0.00 to 0.25 μg·g-1 for Cd; 0.00 to 2.71 μg·g-1 for Co and 3.59 to 538 μg·g-1 for Cu. The concentration of Cr, Pb and Mn in the kidneys and livers of the samples were observed to be higher than the maximum allowable level. Similarly, the exception of Cr in the liver of sheep and goat from Anka and liver of sheep from Bukkuyum, Pb in some liver and kidney samples and Mn in some liver, kidney samples and flesh of cattle from Anka were found to be polluted and hence unsafe for consumption.


Journal: Journal of Agricultural Chemistry and Environment

DOI: jacen.2018.74016(PDF)
Paper Id: 88849 (metadata)

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Seasonality and Tectonic Influences on Subduction Zones for Ultra-Deep Earthquakes

Authors: Marilia Hagen, Anibal Azevedo

Our previous research has found that deep or very deep earthquakes can be influenced by different seasons of the year. It also indicates that other factors may impact the seasonality in addition to these external parameters. This would explain why the response from Northern Hemisphere and Southern Hemisphere for the seasons is different. In the current research, we will focus on very deep earthquakes over a very long period, 1950-2017, which have high magnitude of M ≥ 6 with depth ≥ 500 km and named ultra-deep earthquakes (UDQ). We will separate such events by coordinates of each subduction area located in the Pacific Ring of Fire to find which effects the seasons have on these specific areas. Former tomographic studies in such regions pointed out that each area mentioned had systematic differences in the slab configuration along arcs. Our conclusions showed that those discrepancies may influence the enhancement of earthquakes in some seasons or months.


Journal: Open Journal of Earthquake Research
DOI: ojer.2018.74014

Paper Id: 88812 (metadata)

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Mind Wandering: Mechanism, Function, and Intervention

Authors: Zhun Gong, Yaru Ding

Mind wandering is an important part of the stream of consciousness, which allows the stream of consciousness to continue when the individual does not process external stimuli or does tasks. The neural mechanism of mind wandering is the current research hotspot. This study involves the brain’s default network and two theories of different positions, one is the theory of executive control, and the other is the theory of executive control failure. The study discusses adaptive functioning of mind wandering, especially in terms of creative problem solving. Finally, there is a discussion of how to reduce the negative effects of mind wandering—mindfulness training.


Journal: Psychology
DOI: psych.2018.912152(PDF)
Paper Id: 88756 (metadata)
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Human Capital and Inappropriate Behavior: Review and Recommendations

Author: David D. Van Fleet

Human capital is vital to the successful operation of any organization, the quality of which is threatened by inappropriate organizational behavior. Reducing or eliminating such behavior is critical. Organizations must establish a positive atmosphere that guarantees the rights of all employees to a workplace free from all forms of inappropriate behavior. Morrison proposed eight “people-focused principles of management” that would enable managers to activate and fully utilize the human capital in their organizations. This preliminary study suggests that adopting those principles would benefit organizations.


Journal: Journal of Human Resource and Sustainability Studies
DOI: jhrss.2018.64042(PDF)
Paper Id: 88731 (metadata)

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The Profiling of International Roughness Index (IRI) Based on Lagrangian Method

Authors: Schun T. Uechi, Hiroshi Uechi

The phenomenological equations of motion for the international roughness index (IRI) have been reviewed and discussed in terms of Lagrangian method in physics. The current paper proposes a practical, two-dimensional model for studying essentially three-dimensional, vibrating, and mechanical systems (vehicles). The purpose is to provide a new profiling method for IRI, which is practical in computations and compatible with traditional profiling for roughness of a road-surface. The modern technology employs elaborated sensors such as gyro sensor, Global Positioning System (GPS), magnetometer sensor, and accelerometer to measure high-speed longitudinal motions, resulting in time series of big-data expressed as compressed longitudinal spikes. The time series of longitudinal spikes obtained from high-speed longitudinal motions are traditionally considered as a background noise for constructing a profile. The conventional IRI is calculated from big-data of the road profile by employing statistical method, but the Lagrangian model dynamically determines the road profile. The useful concept and relation among the road-roughness function , associated roughness index (ARI), acceleration and position are introduced and examined in the present paper. The associated roughness index (ARI) defined by the current dynamical approach is examined by applying virtual simulations which represent roughness of a road-surface. The current theoretical model supports and compensates information of interpreting a profile of IRI and elucidates physical meanings for the roughness index of a road-surface.


Journal: World Journal of Engineering and Technology
DOI: wjet.2018.64059(PDF)
Paper Id: 88691 (metadata)

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Development of a Tool for Assessment of Post-Myocardial Infarction Fatigue

Authors: Eva Brink, Ulla Fredriksson-Larsson, Pia Alsén, Marianne Lång,
Christina Cliffordson

Introduction: After treatment for myocardial infarction (MI) quite a few persons will experience different symptoms, including fatigue, during the recovery phase. The aim of the present study was to construct the multidimensional Post-Myocardial Infarction Fatigue (PMIF) scale, based on empirical data gathered in coronary heart disease contexts. Methods: The construction of the post-MI fatigue scale was conducted in seven steps, ending in a psychometric evaluation of the internal structure of the scale, using confirmatory factor analysis, as well as testing of convergent and discriminant validity, using correlational analysis, in a sample of 141 persons treated for MI. Results: The results showed that the PMIF scale represents three dimensions: physical, cognitive and emotional fatigue. It was also found that the scale is suitable for summing the items to obtain a total score representing a post-MI global fatigue dimension. Conclusion: The PMIF is a brief and easily completed scale for identifying persons experiencing post-MI fatigue. Early identification of fatigue, together with health behavior support, might prevent progression toward a more severe state of fatigue.


Journal: Open Journal of Nursing
DOI: ojn.2018.811061(PDF)
Paper Id: 88651 (metadata)

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Orographic Effects on Extreme Rainfall at Different Durations: A Case Study in Campania Region (Southern Italy)

Authors:Pierluigi Furcolo, Anna Pelosi

Long-term probabilistic prediction of extreme rainfall at the regional scale is a significant tool in the mitigation of hydro-geological disasters: it actually provides the starting point in the design of strategic hydraulic infrastructures and emergency plans. A crucial task of regional estimation of extreme rainfall is how to include the complex effects of orographic barriers in a mathematical model for Intensity-Duration-Frequency (IDF) curves. Here, an analysis of how orography can affect extreme rainfall at different durations is presented for three orographic systems that are very relevant for hydrological risk assessment in the Campania Region in Southern Italy. Then, we introduce a power law model to link the amplification factor to the duration, thus allowing a simple and effective enhancement of the IDF model in mountainous areas.


Journal: Journal of Geoscience and Environment Protection
DOI: gep.2018.611006(PDF)
Paper Id: 88627 (metadata)

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Dark Matter as the Gravitized Vacuum: A Brief Note and Experimental Proposal

Author: Eugene Terry Tatum

The gravitized vacuum is operationally defined as the vacuum of space sufficiently close to any gravitating massive body, or collection of bodies, such that its gravitational energy field strength and density are observed, or expected, to be greater than that of deep intergalactic space. It is hypothesized that the contributions to gravitational lensing and excess galactic/peri-galactic rotational inertia currently attributed to dark matter could be predictable effects of increased energy density, with corresponding mass effects, of a gravitized vacuum acting in the manner of a near-absolute zero superfluid. This hypothesis should be testable by an earth-based laboratory with the apparatus and procedure described herein.


Journal: Journal of Modern Physics
DOI: jmp.2018.913148(PDF)
Paper Id: 88604 (metadata)

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Advanced Thermopile IR Dual Line Sensor for Smart Home

Authors: Christophe Escriba, Julien Roux, Georges Soto-Romero, Pascal Acco,
David Bourrier, Eric Campo, Jean-Yves Fourniols

This article presents all steps between the advanced design and the production of CMOS compatible thermoelectric effect infrared sensors dedicated to smart home applications. It will start by making a comparison between thermopile, bolometer and pyroelectric technologies. Although sensitivity performances available with bolometers appear to be better at first sight, it is found that thermopiles have non-negligible advantages that make them more suitable for this application field. Then the different steps necessary for the design will be described, starting from the thermoelectric model of the sensor (temperature gradient, electrical sensitivity, etc.) and considering all steps up to technological manufacturing in a clean room. The results obtained on the structures produced on a specific computer-controlled measurement bench (temperature regulation with an onboard preamplification card) will be presented. Finally, the results prove that the square structures have better performances (S = 82 V/W and NETD = 208 mK).


Journal: Journal of Sensor Technology
DOI: jst.2018.84006(PDF)
Paper Id: 88575 (metadata)

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