Miracle-dz/UniFAR-FTUs huggingface dataset:
SEPARATION OF HEAVY SPECIES (C5+) FROM NATURAL GAS USING ABSORPTION

The production of natural gas (NG) is increasing considerably, contributing to the energetic matrix of the world. New reserves of NG have been discovered and explored regularly. Despite the various applications of natural gas, which allow its use as a raw material for the production of synthesis gas (syngas), for instance, there are remote wells that demand treatment before use. In this work, a simplified approach to remove the heavy species of natural gas (C5+) is presented. The specification of the treated gas is based on the methane index to use the remote NG for fuel in the drive of engines of compressors and boilers. Thus, the present approach proposes the application of two simple operations, i.e., absorption followed by a flash, to regenerate the solvent. This approach may be applied in remote production fields. Based on process simulations and physicochemical properties, 1-octanol was selected as absorbent for this separation. New measurements of absorption in laboratory scale are reported using a synthetic NG and an on-line chromatography analysis. Soave-Redlich-Kwong equation of state (EoS) with Mathias-Copeman alpha function and MHV2 mixing rule with UNIFAC was applied to describe the required equilibrium data. In order to validate this model for the absorption calculations, predictions of vapor-liquid equilibrium of alkane and alcohol binary mixtures obtained from literature data were tested and evaluated. Based on the absorption measurements and SRK-MHV2 flash calculations, curves of operation and equilibrium were provided. Using n-heptane as key-component it was demonstrated that one or up to two theoretical stages are enough to proceed the separation. This work also presents a gas absorption pilot set-up up to 70 bars that is able to evaluate scale up and pressure effect. It is demonstrated, experimentally and computationally, that the proposed approach of C5+ species absorption from NG is simple and feasible to specify the methane index of the gas for remote combustion applications.
Numerical modelling of seismic waves using image-processing and quadtree meshes

This paper presents an automatic meshing procedure which is based on image processing techniques. It is suitable for problems with heterogeneous geometric features, which cannot be described by accurate drawings, in particular if details of very different scales are present. The scaled boundary finite element method facilitates structural analysis on the resulting quadtree mesh, as it incorporates hanging nodes in an elegant and straightforward way. The proposed method is applied to the problem of seismic waves in highly heterogeneous soils. Here, the maximum mesh size is governed by the material properties and frequency content of the excitation. A large-scale two-dimensional soilstructure interaction problem is studied to illustrate the potential of the proposed approach.
Transformation from IFC data model to GML data model: Methodology and tool development

Abstract To facilitate the incorporation of 3D CAD objects into the 3D‐GIS environment, this paper proposes a feasible approach to transform the 3D geometric information of CAD objects expressed by the IFC model into geometric objects for the GML model. The discussions include not only the proposed model transformation methodology but also the development of a software tool that implements the proposed methodology. In addition, a simple model transformation example is provided to demonstrate the feasibility of the proposed methodology and the functionalities of the developed tool.
RXTE observations of the 1A 1118-61 in an outburst, and the discovery of a cyclotron line

We present the analysis of RXTE monitoring data obtained during the January 2009 outburst of the hard X-ray transient IA 1118-61. Using these observations the broadband (3.5-120 keV) spectrum of the source was measured for the first time ever. We have found that the broadband continuum spectrum of the source is similar to other accreting pulsars and is well described by several conventionally used phenomenological models. We have discovered that regardless of the applied continuum model, a prominent broad absorption feature at approx. 55 keV is observed. We interpret this feature as a Cyclotron Resonance Scattering Feature (CRSF). The observed CRSF energy is one of the highest known and corresponds to a magnetic field of B approx. 4.8 x 10(exp 12) G in the scattering region. Furthermore, our data suggests an iron emission line presence, which was not reported previously for lA 1118-61 as well. Timing properties of the source, including a strong spin-up, were found to be similar to those observed by CGRO/BATSE during the previous outburst, however the broadband capabilities of RXTE reveal a more complicated energy dependency of the pulse-profile.
Single-locus inheritance and partial linkage map of Coffea arabica L.

In a backcross population of the allotetraploid Coffea arabica L. the loci with diploid-like segregation were predominant, although a few loci with tetrassomic inheritance or distortion of the expected segregation were also observed. A partial geneti c map of Coffea arabica L. was constructed with 82 RAPD loci scored in this backcross population of 104 individuals. It covered the estimated length of 540.6 cM in eight linkage groups. The linkage group size was highly correlated with the number of markers, indicating random distribution of the markers in the groups. The average distance between two markers was 7.3 cM.
A Restful Architecture for Web-based Smart Homes using Request Queues

This technical report describes the architecture of a Web-based smart home framework, which may be used as the backbone of future smart home deployments. This framework has been designed to support multiple family members and concurrent invocation of embedded home appliances, sensors and actuators. A fundamental element of the framework’s architecture is the use of request queues, for better managing the communication with home devices, ensuring reliability, fault-tolerance and time efficiency. By means of the requests queues, prioritized requests may be easily supported, by transforming the queues into priority heaps. The framework has been designed following the REST architectural style, in order to offer a Web-based behaviour and address the increased heterogeneity of resource-constrained home devices. Through this report, the design and implementation of this Web-based framework for smart homes is presented, along with an analysis of its important components. Finally, a technical evaluation is provided to demonstrate the functionality of the system both in typical and heavy workloads.
Effect of Partial Shrouds on the Performance and Flow Field of a Low-Aspect-Ratio Axial-Flow Fan Rotor

The flow field at the rotor exit of a low aspect ratio axial flow fan for different tip geometries and for different flow coefficients is measured in the present study. The following configurations are tested: (1) rotor without partial shroud, designated as rotor (wos), (2) rotor with partial shroud, designated as rotor (ws), and (3) rotor with perforated (perforations in the shape of discrete circular holes) partial shroud, designated as rotor (wps). From steady state measurements, the performance of rotor (wps) is found to be the best. Both the rotors with partial shrouds have stalled at a higher flow coefficient compared to that of rotor (wos). From periodic flow measurements, it is concluded that the low velocity region near the tip section is considerably reduced with the use of partial shrouds with perforations. The extent of this low velocity region for both rotor (wos) and rotor (wps) increases with decreasing flow coefficient due to increased stage loading. This core of low momentum fluid has moved inwards of the annulus and towards the pressure side as the flow coefficient decreases. The extent of the low momentum fluid is smaller for rotor (wps) than that of rotor (wos) at all flow coefficients.
A literature review to examine the effects of faith-based therapy compared to secular therapy on substance abuse treatment

Substance abuse can affect anyone. The consequences are significant and may lead to death. Substance abuse also puts a great financial burden on the healthcare system. The purpose of this review of literature was to investigate the effect of faith-based therapy compared to secular therapy on substance abuse treatment. The data sources used were: PsychINFO, CINAHL, and OneSearch. Results showed multiple factors of faith-based therapy such as: cultural pressure, fear of judgment, and social support may correlate with recovery. A positive correlation was found between faith-based therapy and substance abuse recovery when compared with secular therapy (Al-Omari, Hamed, & Abu Tariah, 2015; Avants, Beitel, & Margolin, 2005; Bowen et al., 2006; Chu, Hung-En Sung, & Hsiao, 2012; Pardini, Plante, Sherman, & Stump, 2000; Sung & Chu, 2013). However, most research focuses more on the effectiveness of faith-based therapy than on the effectiveness of secular therapy.
USING OPC TO INTEGRATE CONTROL SYSTEMS FROM COMPETING VENDORS

As it evolves, the typical industrial plant will find it has a myriad of different control systems and communications networks. Interconnecting these dissimilar systems can be difficult and expensive, yet vital to efficient production. Alcan Smelters was faced with such a problem when it wanted to upgrade its Hydrate-2 plant in Jonquiere, Quebec – the new design had resulted in six process control systems and seven different process communications networks. This paper looks at the techniques selected to ease this integration based on the OLE For Process Control (OPC) standard. Also discussed are the results of staging and loading tests to prove the robustness of this single standard OPC strategy.
Conceptual view of Pneumatic Artificial Muscle

The intention of this article is to introduce and overview Pneumatic Artificial Muscles (PAMs). The construction of PAMS mainly consist of flexible, inflatable membranes, having orthotropic material behaviour. The main properties shaping the PAMs will be explained in terms of their loadcarrying capacity and low weight in assembly. Discussion on their designs and capacity to function as locomotion device in robotics applications will be laid out, followed by viewpoint on the materials and strength models, concluded by some future directions in this research work.
Parallel levenberg-marquardt-based neural network with variable decay rate

In this paper, parallel Levenberg-Marquardtbased feed-forward neural network with variable weight decay, implemented on the Graphics Processing Unit, is suggested. Two levels of parallelism are implemented in the algorithm. One level of parallelism is achieved across the data set, due to inherently parallel structure of the feed-forward neural networks. Another level of parallelism is achieved in Jacobian computation. To avoid third level of parallelism, i.e. parallelization of optimization search steps, and to keep the algorithm simple, variable decay rate is used. Parameters of variable decay rate rule allow for compromise between oscillations and higher accuracy on one side and stable but slower convergence on the other side. To improve training speed and efficiency modification of random weight initialization is included. Testing of a parallel algorithm is performed on two real domain benchmark problems. Results, given in a form of a table with obtained speedups, show the effectiveness of proposed algorithm implementation.
Moment-based image recognition approach

This paper focuses on graphical recognition technologies domain. We propose a moment-based image recognition technique. Our approach consists of two main steps. First it performs an image feature extraction operation on a image set, then a graphical feature vector classification is performed. We utilize a set of area moments for image featuring. In the classification stage a semiautomatic region-growing procedure is proposed.
POTENT IN VITRO COLLAGEN BIOSYNTHESIS STIMULATING AND ANTIOXIDANT ACTIVITIES OF EDIBLE MUSHROOM VOLVARIELLA VOLVACEA AQUEOUS EXTRACT

Beside Thai herbs and spices, several mushrooms are used in Thai cuisine such as straw mushrooom(Volvariella volvacea) in Tom Yam Kung. Objective: To investigate the in vitro collagen biosynthesis stimulating and antioxidant activities of edible mushrooms which are common use as Thai food ingredient including V. volvacea collected from northern Thailand. Methods: The 11 selected mushrooms were extracted by three extraction methods including the hot (HW) and sonicated (SW) aqueous and the macerated ethanolic (ME) processes. These extracts were tested for antioxidative activity (including DPPH radical scavenging, metal chelating and lipid peroxidation) and in vitro collagen biosynthesis stimulating activities. Results: The sonicated aqueous extracts of V. volvacea (VV SW) not only showed the highest total phenolic (6.68 mg GAE) and polysaccharide contents (0.069 mg GLU) but also gave the highest DPPH radical scavenging, lipid peroxidation inhibition and collagen biosynthesis stimulating activities with the relative amount of the collagen biosynthesis stimulation of 146.77±13.20 % of negative control which was significantly higher than standard ascorbic acid at about 1.14 times. Conclusion: This present study has suggested the sonicated aqueous extracts of V. volvacea to be developed as a functional food or cosmeceutical product with the potent in vitro collagen biosynthesis stimulating and antioxidant activities which can be promoted the traditional ingredient for Thai cuisine recipes as well.
Modelling and Congestion Detection of Wireless Sensor Networks: A Concurrent-based Approach using Coloured Petri Nets

Congestion in Wireless Sensor Networks (WSNs for short) causes not only packet loss and but also leads to excessive energy consumption. Therefore, congestion needs to be detected as well as controlled in order to prolong system lifetime. There are two streams to concern congestion detection including simulation-based and model-based. Following the second stream, formal modelling techniques are used for analysis of WSNs. Coloured Petri nets (CPNs for short) that combines Petri nets with programming languages is a powerful modelling technique. This paper presents a CPN-based approach for formal modelling and congestion detection of WSNs. The proposed model describes parameters and behaviours of a WSN. Then the congestion detection problem is reduced to a reachability problem on the state space of the CPN-based model. Moreover, the CPN-based model uses the hierarchical modelling capability of CPNs, including different levels of abstraction (sub-modules). This helps easily handling and extending the model. In reality, WSN components (sensors and channels) can execute a number of concurrent operations. This is called concurrency of WSNs. The CPN-based model is extended to express the concurrency, thus improving the congestion detection results.
P-12: A Novel Electrode Design for High Transmittance In-plane Switching Liquid Crystal Displays

We propose a new electrode design to enhance the transmittance of a conventional in-plane switching (IPS) mode liquid crystal display (LCD). In this high transmittance IPS (HT-IPS) mode, both substantial horizontal electric fields and fringe fields are generated simultaneously in different regions to reorient the liquid crystal directors. The HT-IPS mode can reach a transmittance >90% of a twist-nematic (TN) cell using both positive and negative LC materials, while it inherently shows a wide-viewing angle as well.
RESEARCHING NEWS DISCUSSION ON TWITTER

Twitter has become a major instrument for the rapid dissemination and subsequent debate of news stories, and comprehensive methodologies for systematic research into news discussion on Twitter are beginning to emerge. This paper outlines innovative approaches for large-scale quantitative research into how Twitter is used to discuss and cover the news, focusing especially on #hashtags: brief identifiers which mark a tweet as taking part in an established discussion.
Analysis of an Induction Machine by the Finite Element Method

Induction machines are popular in every segments of industry due to their simple construction and robust operation. Asynchronous machines have been being built in electric vehicles, too. The paper presents the two dimensional analysis of a voltage-fed induction machine by different kind of finite element software. The results have been compared. Keywords—induction machine; finite element analysis
Analysis of on/off controllers of a semi-active suspension in a CAN

Abstract A performance analysis of automotive semi-active suspension control algorithms was realized. Three on/off control strategies were tested in a quarter of vehicle model: hybrid Sky Hook-Ground Hook , hybrid Mix-1-Sensor and Frequency Estimation-Based controller. A commercial Magneto-Rheological damper was modeled by using an Artificial Neural Network approach. The automotive semi-active suspension was implemented in a commercial Controller Area Network system; and the control algorithms were implemented in a micro-controller system with comfort and road holding as main goals. Early results show the feasibility of this application.
Evaluation of Regional Emission Control Based in Photochemical Air Quality Modelling

The growing use of natural gas as fuel both for industrial and domestic purposes implies an increment in the emissions of potential photochemical oxidants in the troposphere, particularly, nitrogen oxides (NOx). This effect can be higher in regions with a significant use of other fossil fuels for electricity production, such as coal fired power plants. Therefore, even though the air quality levels of typical primary pollutants (SO2 and coarse particles) can keep to acceptable values, synergies between additional NOx emissions, biogenic emissions and meteorological conditions can lead to the production of photochemical oxidants, such as O3. The application of meteorological and air quality modelling techniques to evaluate the impact of new NOx sources in the O3 levels over a region can achieve a quantitative estimation of such impact, in terms of the variation of both NOx and O3 levels in the region. This approach to the impact of new sources in air quality, now common for primary pollutants, requires the use of comprehensive air quality modelling in the evaluation of photochemical oxidants. There are several comprehensive air quality models currently available that can be applied to this approach. However, the characteristics of new emission sources, regional conditions (i.e., terrain, sea influence) and pollutants of interest (i.e., photochemical oxidants) result in the selection of the most appropriate model for a particular problem (Chang et al., 1987; Song et al., 2010). In this paper, comprehensive air quality modelling is applied to evaluate the effectiveness of emission control policy in a European Atlantic coastal region, with complex terrain and mixed land use, and a significant area of forestry. This region, located in the northwest of the Iberian Peninsula, includes both medium-sized cities and large coal fired power plants. Therefore, changes in both industrial and domestic emissions due to an increase in the use of the natural gas can affect the generation of photochemical oxidants, depending on the biogenic emissions (forestry) and typical meteorological conditions.
Dietary pattern, socioeconomic status and child health outcomes in Ghana: application of multilevel analysis

Introduction – Child welfare, especially issues bordering on child health, continues to be one of the core issues of development. Over the years, appreciable progress has been made, but the levels are still not good enough. Objective - This paper investigates the effects of mothers’ socioeconomic characteristics and regional effect on the health of the child. Also, the paper employs a multilevel estimation technique, a methodology that distinguishes this study from previous studies to investigate in detail, the sources of variation in child health for appropriate policy recommendations Design/methodology/approach - This study revisits the issue on the determinants of child health using the 2012 Ghana version of the Multiple Indicator Cluster Survey, with a sample size of 7364, to investigate how infant diet practices impact child health in Ghana. We estimate the impact of dietary pattern and other socioeconomic characteristics and regional effect on child anthropometric indicators using the multilevel estimation technique to control for clustering effect. Results - We found a dietary pattern to have a positive impact on child health. In addition, we realised that both mother characteristics and regional effect play a role in the growth of the child, but mother characteristics seem the most driving force when mother effects and regional effect are set at play. Conclusion - It is recommended that parents should adhere to the appropriate diet requirement for their children to better health outcome. Also, it is imperative for policies to be geared towards parents as a first step in ensuring a better child health. In addition, policies and programmes directed to the three Northern regions of Ghana are very crucial in supporting a positive child health development for children in Ghana.
Testing Linearity against a Univariate TAR Specification in Time Series with Missing Data

Nowadays, procedures for testing the null hypothesis of linearity of a (univariate or multivariate) stochastic process are well known, almost all of them based on the assumption that their paths (i.e. observed time series) are complete. This paper describes an approach for testing this null hypothesis in the presence of missing data, using an extension of one of the test statistics used in the literature. The alternative hypothesis is that the univariate stochastic process of interest follows a threshold autoregressive (TAR) model. It is found that if the missing-data percentage is low, the null distribution of the proposed test statistic is maintained; while if it is high, it is not. A threshold value for the missing-data percentage is detected, which can be utilized in practice.
INTELLECTUAL CAPITAL DISCLOSURE AND CORPORATE GOVERNANCE STRUCTURE AMONG MALAYSIAN GOVERNMENT-LINKED COMPANIES

This study examines the level of intellectual capital disclosure among the 32 Malaysian GLCs by comparing with the Non-GLCs for the period 2007-2009. In addition, this study also investigates the impact of board structure on the intellectual capital disclosure of Malaysian GLCs. The board structure mechanisms comprise; board composition, role duality, board size and cross directorship. The control variables consist of the company-specific characteristics – leverage, profitability and age of the company. The content analysis is used to extract the intellectual capital disclosure items from the annual report. The results show that the GLCs disclosed more intellectual capital information than Non-GLCs. Board size and leverage are significant and positively related to the intellectual capital disclosure of Malaysian GLCs.
Orbital trends in synchronous binary motion in the context of energy minimization

Abstract The evolution of a natural system is characterized by a tendency to minimize its energy, and tidal evolution favours synchronism of spin and orbital motion. In this context we study the orbital evolutionary trends in synchronous binary motion, using a condition which favours minimization of energy of the system and reverts from the point mass approximation. Considering binaries to be subsystems of a microcanonical ensemble, we find that after tidal capture the equilibrium thermal distribution function favours high eccentricities. Results are applied to extended bodies with constituents, such as stellar systems.