bluuebunny/crossref_metadata_2025_split huggingface dataset:
Validation of a Chinese version of the Assessing Emotions Scale for measuring the emotional intelligence of Chinese adolescents
Authors: Ko Flora S.L. , Siu Andrew M.H. 
Published: September 2013

Abstract
This study set out to validate a Chinese-translated version of the widely used Assessing Emotion Scale (C-AES) for use in measuring the emotional intelligence of Chinese adolescents in Hong Kong. The convenience sample consisted of 1550 secondary students aged 12–19 years, who were asked to complete the C-AES, the Chinese Interpersonal Reactivity Index, Chinese Depression Anxiety Stress Scales-21, and a test of facial expression recognition. The results suggest a stable four-factor model for the C-AES, comprising the factors of Appraisal of Emotion (AE), Facilitation of Thought (FT), Regulation of Emotion (RE), and Facilitation of Relationships (FR). The test-retest reliability estimates of the factor subscales were good, while the estimates of internal consistency were fair to acceptable. The results largely supported the convergent validity of the C-AES, since its subscales showed significant correlation with convergent measures of empathy and negative emotional states. In general, girls demonstrated higher emotional intelligence (EI) than boys, with a large difference noted in the FR subscale. In summary, the C-AES has demonstrated acceptable internal consistency and good test-retest reliability for use in the selfreport assessment of EI.
Topology Optimization Using Nonlinear Finite Elements and Control-point-based Parametrization
Authors: Kegl M. , Harl B. 
Published: September 2013

Abstract
This paper presents an approach to shape/topology optimization of continuous structures. The proposed approach combines the design element technique and the level set function in order to obtain an efficient topology parameterization of the domain under consideration. The shape and the level set function are both parameterized by the control points and corresponding blending functions of the design elements. For the sake of generality, nonlinear finite elements are employed, which have to be adapted adequately in order to be able to describe full material, void, and any intermediate state. In this way the design element technique has not yet been used for topology optimization, partially because it requires that the domain geometry and finite element mesh have to be defined by utilizing control-point-based design elements. In spite of this drawback, the proposed approach offers several attractive benefits. Namely, in contrast to other level set methods, the proposed approach does not make any use of the Hamilton-Jacobi differential equation. Consequently, the boundary evolution stage of the process need not to be treated separately, but is integrated with the strain/stress analysis stage into a rather conventional optimization scheme. Furthermore, the proposed approach allows for any type of finite elements (linear/nonlinear) to be implemented into the procedure if adjusted adequately. The formulation of the optimization problem is also completely arbitrary. The properties of the proposed approach are illustrated by several numerical examples.
Stagnation-point Flow of a Viscoelastic Fluid over a Lubricated Surface
Authors: Sajid M. , Javed T. , Abbas Z. , Ali N. 
Published: September 2013

Abstract
A stagnation point flow of a viscoelastic Walters' B fluid over a surface lubricated with a power-law non-Newtonian fluid is considered in this paper. It is assumed that the lubricant is spread over the sheet making a thin layer of variable thickness. We are interested in a similarity solution of the problem which in the present case exists only for the power-law index n = 1/2. For the other values of the power-law index the non-similar solutions are also presented in the present paper. A slip flow boundary condition is deduced for a viscoelastic fluid at the fluid-fluid interface which is then imposed on the surface due to reason that the lubrication layer is thin. This new slip boundary condition is different from the conventional slip boundary condition for viscoelastic fluids considered in the literature. The numerical solution of the governing nonlinear ordinary differential equation subject to a nonlinear slip boundary condition is obtained by a hybrid method that combines the features of the finite difference and shooting methods. The profiles of velocity under the influence of slip and viscoelastic fluid parameters are illustrated. Moreover, the behavior of the missing condition f″(0) under the influence of these parameters is also presented. The results for the no-slip and full slip flows can be recovered as limiting cases when λ → ∞ and λ → 0 respectively.
Nonlinear Air Quality Modeling Using Support Vector Machines in Gijón Urban Area (Northern Spain) at Local Scale
Authors: Suárez Sánchez A. , García Nieto P.J. , Iglesias-Rodríguez F.J. , Vilán Vilán J.A. 
Published: September 2013

Abstract
Due to the health impacts caused by exposures to air pollutants in urban areas, monitoring and forecasting of air quality parameters have become popular as an important topic in atmospheric and environmental research today. The knowledge on the dynamics and complexity of air pollutants behaviour has made artificial intelligence and statistical learning models as a useful tool for a more accurate pollutant concentration prediction. The aim of this study is to build a regression model of daily air quality prediction by using support vector machine (SVM) technique in Gijón urban area (Northern Spain) at local scale. To accomplish the objective, the observed data of nitrogen oxides, carbon monoxide, sulphur dioxide, ozone and dust for years 2006 to 2008 are used to create a highly nonlinear model of the air quality in the city based on SVM techniques. One objective of this model was to make a preliminary estimate of the dependence between primary and secondary pollutants in Gijón urban area at local scale. A second aim was to determine the factors with the greatest bearing on air quality in order to propose health and lifestyle improvements. This support vector regression model captures the main insight of statistical learning theory to obtain a good prediction of the dependence among the main pollutants in Gijón urban area since it shows a good agreement between the observed and predicted values of pollutants using statistical estimators as correlation coefficients, mean errors and root mean squared errors. Finally, conclusions of this study are exposed.
Bifurcation Analysis and Implicit Solution of Klein-Gordon Equation with Dual-power Law Nonlinearity in Relativistic Quantum Mechanics
Authors: Biswas Anjan , Song Ming , Zerrad Essaid 
Published: September 2013

Abstract
This paper focuses on the nonlinear Klein-Gordon equation with dual power law nonlinearity. The traveling wave hypothesis reveals an implicit solution in terms of Gauss' hypergeometric functions. The bifurcation analysis is subsequently carried out that gives an additional set of solutions. The phase portraits of the solutions are also given.
Oligopolistic Market Structure in the Japanese Pistachio Import Market
Authors: Asgari Mahdi , Saghaian Sayed H. 
Published: September 2013

Abstract
Iran is the major producer of pistachio nuts in the world. Iran dominated the international pistachio export markets until 1982, when a new competitor, the United States, emerged in the international markets. Currently, both Iran and the United States are major pistachio exporters to Japan. In this study, we address the following empirical question: Is the Japanese pistachio import market best characterized by Cournot or Bertrand duopoly competition or some other form of game? We use two historical data sets on pistachio prices and quantities imported by Japan from Iran and the United States and estimate the demand functions for these two main exporters. Considering two different strategic variables, quantity and price, full information maximum likelihood (FIML) resulted in different estimates. We used normalized likelihood ratio statistics for the model comparison. Having proper game-specific nonlinear-equation restrictions enabled us to form six alternative models. The model that best fit the data was the Stackelberg model with US quantity leadership.
We Created It, Now How Do We Save It? Issues in Preserving Personal Information, A Review
Authors: Reyes Vanessa 
Published: September 2013

AbstractPreserving personal information is coming into focus in information science and archives. In recent years, professionals have been working to solve the many preservation challenges. This review analyzes the concepts associated with preserving and managing personal information, while identifying and discussing contributions made by scholars and practitioners who focus on personal digital archiving. The review considers current solutions to the problems.
Thermodynamic modeling of polyamide-6 (PA-6)/cellulose acetate (CA) blend membrane prepared via casting technique
Authors: El-Gendi Ayman , Abdallah Heba 
Published: September 2013

Abstract
Thermodynamic behavior of a ternary system with one low molecular weight component, formic acid (FA) as the solvent, water (non-solvent), and two high molecular weight polymers [polyamide-6 (PA-6) and cellulose acetate (CA)] was investigated using an extended modified Flory-Huggins model. Where, all chemicals were purchased from Leuna Werke AG (Germany). The model was solved by MATLAB SIMULINK software manufactured in the USA. The predicted results from the model explained that the miscibility of the two blend polymers, PA-6 and CA, completed over all compositions at room temperature, and the minimum point where the miscibility of the two polymers completed was in the composition of 0.2 volume fraction of PA-6 at Gibbs free energy change on mixing (ΔGm) of -1.74015 kJ/mole. The critical temperature (Tc) for superiority properties of the polymer blend solution are in the range between the upper critical saturation temperature (UCST) 323K and the lower critical saturation temperature (LCST) 338K. The diffusion model on the solution of the immersion precipitation process in the coagulation bath indicates that the solvent volume fractions increase with time, while the polymer solution volume fraction decreases, due to solvent removal from the polymer solution and membrane formation. According to the mathematical model, it was found that the annealing temperature can affect the densification of the membrane top layer. However, the heat treatment process leads to a decrease in thickness of the membrane bottom layer, as a result of reduced and distributed membrane pores.
Steroid cell tumor: a rare cause of hirsutism in a female
Authors: Swain Jayshree , Sharma Shruti , Prakash Ved , Agrawal N K , Singh S K 
Published: September 2013

Summary
Ovarian steroid cell tumors are very rare functioning sex-cord stromal tumors. They comprise <0.1% of all ovarian tumors. Previously designated as lipoid cell tumors, one-third of these tumors are considered malignant with the mean age of presentation at around 40 years. We present a case of a 28-year-old female with 2-year history of hirsutism, virilization, and amenorrhea. She was diagnosed with left ovarian tumor, for which she underwent left salpingo-oophorectomy. Histopathology revealed not otherwise specified subtype of steroid cell tumors. The patient resumed menses 2 months after the features of masculinization regressed. Within 1 year of surgery, the patient successfully conceived a full-term baby without any complications. In a young female, the neoplastic etiology of a rapid virilization or menses changing should always be kept in mind. Though commonly observed in adult females, steroid cell tumors have very good surgical outcomes if age at presentation is less and tumor is unilateral, and there are no evidences of bilateral malignancy. Bilateral salpingo-oophorectomy is not required.

Learning points

In a case of severe rapid hirsutism and virilization with serum testosterone level more than 200 ng/dl or more than threefold of the normal range, neoplastic conditions should always be suspected.

Steroid cell tumor in young women without evidence of malignancy on histopathology has excellent surgical outcomes.

Unilateral salpingo-oophorectomy is the surgery of choice.

As the frequency of bilateralism is only 6%, prophylactic unaffected side oophorectomy need not be done.
Reservoir Simulation of Shale Barrier Failure in Heterogeneous SAGD Reservoirs: A Case Study
Authors: Wu Yongbin , Li Xiuluan , Jiang Youwei , Wang Hongzhuang , He Wanjun 
Published: September 2013

Abstract
In Xinjiang, China, a huge volume of heavy oil deposits is not commercially developed yet due to the high in-situ oil viscosity that is higher than 100,000 to 1,000,000+ cp and the strong reservoir heterogeneity. Two SAGD pilot tests with 11 wellpairs in total have been carried out since 2008 while the extensively distribution of shale barriers result in the poor SAGD steam chamber conformance, low production rate and high SOR.
This paper presents the workflow to break shale barriers to improve the steam chamber development along horizontal section, to reduce the SOR and to enhance the economic performance. The first step of the workflow is to select representative core and shale barrier samples and quantify the geomechanic data by high-pressure-high temperature dilation and shale barrier failure experiments. Meanwhile, the geologic model is built taking into account geological uncertainties of the reservoir and the core analysis results. And then, a small set of SAGD wellpair models are selected as the typical wellpair models by classifying different patterns of shale barriers distribution along horizontal section. Finally, the upscaled thermal reservoir models with geomechanics models using the data acquired by geomechanic experiments are investigated to model and optimize operation strategies for dynamic fracturing and shale barrier failure during SAGD phase.
The research reveals that the high-pressure CSS is an effective method to break the shale barrier distributed between the horizontal segments of the producer and the injector, which has been verified by field experience and the numerical simulation. It is forecasted that the case without HP-CSS will have the steam chamber growth at 50% percent of horizontal segment, which is 40% less than the case CSS. The ultimate oil recovery factor is 34.54%, which is 16.31% less than the case with HP-CSS; and the cumulative oil/steam ratio is 0.175, which is 14.5% less than the case with HP-CSS, encouraging SAGD performance after HP-CSS shows a better economic performance, which is worthwhile to carry out and also has a significant guidance for the similar SAGD reservoirs to improve the performance.
A Case Study Underlying the Importance of Sound Reservoir Surveillance Practice to Maximize Recovery from an Onshore Oil Field of UAE
Authors: Pratap M. , Al-Kendi S. 
Published: September 2013

Abstract
The strategy of development with simultaneous downdip water injection adopted in early 90's has enabled efficient pressure maintenance and sustained production from multi stacked reservoirs of an onshore oil field in UAE. Present study addresses bottommost twin reservoirs in the stack sitting one over other. Full field simulation model for these reservoirs built in 2006 encountered great difficulty in matching observed pressure trends in individual wells. The model predicted much higher pressures than observed in the wells. The mismatch was attributed to possible compartmentalization by numerous faults. Accordingly, further improvement in Geological model was affected in 2011 by updating it with more number of faults and modified structural configurations based on new 3D seismic interpretation. The simulation model was updated by incorporating improved geological model and the pressure-production-injection data till 2011. However, the simulation model still suffered from predicting much higher well pressures, as earlier. An MBAL analysis was then performed to investigate the average pressure trend of the twin reservoirs which indicated the possibility of irrational allocation of injected water at perforation level. This finding from MBAL study was later confirmed by the evidences from surveillance data.
The paper discusses how the finding from MBAL study has been confirmed by simulation study by successful history matching of well pressures after rational distribution/allocation of injected water. Evidences for irrational allocation of injected water to individual injectors based on available surveillance data have also been presented. Based on the findings, the management is embarking on the improvement in the surveillance of water injection using continuous and reliable monitoring techniques as accurate accounting of injected water is crucial for the success of ongoing development to ensure uniform sweep and avoid premature water breakthrough in the wells thereby maximizing oil recovery.
A Workflow for Developing Water-Oil Relative Permeability Hysteresis - Super Giant Carbonate Reservoir Case Study
Authors: Ismail Ahmed Mohamed , Hafez Hafez H. , Kalam Mohammed Zubair 
Published: September 2013

Abstract
Numerical modeling of mixed wet systems with a thick transition zone typically requires full hysteresis option to be invoked in the reservoir simulator. In this super giant carbonate reservoir with multi-million active cells and twelve reservoir rock-types, running the full hysteresis option proved prohibitive due to excessive run times, and in many cases the run fails. Traditionally, engineers resorted to generating scanning curves that mimic the hysteresis option manually using algorithms or spreadsheets. These scanning curves are input into the model as saturation functions. This paper aims at presenting the workflow for developing the water-oil relative permeability hysteresis for a mixed wet super-giant carbonate reservoir which optimize the 3D simulation run time.
To develop the appropriate bounding and scanning curves, three models were tested including Corey model, modified Corey, and Killough Hysteresis model. To ensure that the algorithm for each of these models resulted in reliable scanning curves, commercial simulator sector model was built and the resulted scanning curves from this sector model compared with the mathematical approach used to generate scanning curves from each of the three models over a wide range of water saturation.
Results indicate that the three models generate consistent bounding and scanning curves for the oil relative permeability. However, results for the water relative permeability differed for the three models, especially at higher water saturation –transition zone. Killough model shows unusual trend for water relative permeability scanning curves as compared with the bounding curve. Using scanning relative permeability curves show significant reduction in the simulation run times as compared with the full hysteresis option.
3-D Numerical Investigation of Subsurface Flow in Anisotropic Porous Media using Multipoint Flux Approximation Method
Authors: Negara Ardiansyah , Salama Amgad , Sun Shuyu 
Published: September 2013

Abstract
Anisotropy of hydraulic properties of subsurface geologic formations is an essential feature that has been established as a consequence of the different geologic processes that they undergo during the longer geologic time scale. With respect to petroleum reservoirs, in many cases, anisotropy plays significant role in dictating the direction of flow that becomes no longer dependent only on the pressure gradient direction but also on the principal directions of anisotropy. Furthermore, in complex systems involving the flow of multiphase fluids in which the gravity and the capillarity play an important role, anisotropy can also have important influences.
Therefore, there has been great deal of motivation to consider anisotropy when solving the governing conservation laws numerically. Unfortunately, the two-point flux approximation of finite difference approach is not capable of handling full tensor permeability fields. Lately, however, it has been possible to adapt the multipoint flux approximation that can handle anisotropy to the framework of finite difference schemes. In multipoint flux approximation method, the stencil of approximation is more involved, i.e., it requires the involvement of 9-point stencil for the 2-D model and 27-point stencil for the 3-D model. This is apparently challenging and cumbersome when making the global system of equations.
In this work, we apply the equation-type approach, which is the experimenting pressure field approach that enables the solution of the global problem breaks into the solution of multitude of local problems that significantly reduce the complexity without affecting the accuracy of numerical solution. This approach also leads in reducing the computational cost during the simulation.
We have applied this technique to a variety of anisotropy scenarios of 3-D subsurface flow problems and the numerical results demonstrate that the experimenting pressure field technique fits very well with the multipoint flux approximation method. Furthermore, the numerical results explicitly emphasize that anisotropy could not be ignored for the proper model of subsurface flow.
Enhancing Reservoir Understanding by Utilizing Business Intelligence in History Match Quality Check
Authors: Al-Zahrani Tariq , Al-Ghamdi Tariq , Al-Qarni Saad , Al-Tiban Ali , Al-Harbi Bader 
Published: September 2013

Abstract
The technology to process and analyze simulation model outcomes have improved exponentially in the past few years and gave engineers the ability to analyze results of simulation runs efficiently and effectively. Reservoir simulation engineers need to quickly analyze simulation runs based on difference among models calculated data and measured data to determine the quality of the simulation models. With the help of business intelligence tools, engineers are able to do certain quality checks of the model that enhances reservoir fluid flow understanding. History match quality check dashboard provides the required means to perform qualitative and quantitative analysis for simulation runs.
The developed reservoir engineering business intelligence tool helps engineers to extract statistical information of the simulation runs to quality check how close the model mimics historical performance. The tool provides means to quantitatively and qualitatively check critical well performance properties that include water cut, pressure, GOR and oil rate against the measured data. Using this tool, engineers will be able to identify wells (or cluster of wells) with issues in those parameters, allowing the engineer to rank simulation runs according to their history match quality.
This paper will discuss the algorithms behind the history match quality check dashboard that utilizes advanced data mining and visual analytics. A case study will exemplify identifying problematic wells in the history matched pressure, water cut, and oil production rate for one of Saudi Arabia field.