Miracle-dz/UniFAR-FTUs huggingface dataset:
Bundle-Centric Visualization of Compound Digraphs

We present a new approach aimed at understanding the structure of connections in edge-bundling lay-outs. We combine the advantages of edge bundles with a bundle-centric simpliﬁed visual representation of a graph’s structure. For this, we ﬁrst compute a hierarchical edge clustering of a given graph layout which groups similar edges together. Next, we render clusters at a user-selected level of detail using a new image-based technique that combines distance-based splatting and shape skeletonization. The overall result displays a given graph as a small set of overlapping shaded edge bundles. Luminance, saturation, hue, and shading encode edge density, edge types, and edge similarity. Finally, we add brushing and a new type of semantic lens to help navigation where local structures overlap. We illustrate the proposed method on several real-world graph datasets.
The Fröhlich-Coulomb model of high-temperature superconductivity and charge segregation in the cuprates

We introduce a generic Frohlich-Coulomb model of the oxides, which also includes infinite on-site (Hubbard) repulsion, and describe a simple analytical method of solving the multi-polaron problem in complex lattice structures. Two particular lattices, a zigzag ladder and a perovskite layer, are studied. We find that, depending on the relative strength of the Frohlich and Coulomb interactions, these systems are either polaronic Fermi (or Luttinger) liquids, bipolaronic superconductors, or charge-segregated insulators. In the superconducting phase the carriers are superlight mobile bipolarons. The model describes key features of the cuprates such as their Tc-values, the isotope effects, the normal-state diamagnetism, the pseudogap, and spectral functions measured in tunnelling and photoemission. We argue that a low Fermi energy and strong coupling of carriers with high-frequency phonons is the cause of high critical temperatures in novel superconductors.
Toward a Framework for Navigating Simulation Fidelity in Model-Based Design

Model-Based Design is a sequential decision process that increases the detail of modeling and analysis while simul- taneously decreasing the space of alternatives considered. Computational models refine sequentially from conceptual models that are used for initial trades and progress through models of increasing detail until the final technical data package of the design is subject to the highest fidelity analysis. Our premise is supported by research from the do- mains of behavioral economics, psychology, judgment and decision making, neuroeconomics, marketing, engineering design, and our previous experience performing trade studies with numerous companies and government agencies. This paper presents a preliminary framework whereby the design process itself can be modeled as a series of discrete steps through a three-dimensional space consisting of model detail, analysis complexity, and design set size, with time, cost, and the quality of information derived attached to each step. With this framework, we are able to now consider fundamental questions such as what is the best rate of increase in detail, decrease in attribute sets, and how many discrete modeling steps should be taken? Issues with the application of this framework for design as a sequential process are highlighted.
In Situ Atomic/Molecular Layer-by-Layer Deposition of Inorganic–Organic Coordination Network Thin Films from Gaseous Precursors

Crystalline inorganic–organic coordination network materials possess a property palette highly attractive for a number of frontier applications. In many prospective applications of these materials, high-quality thin films would be required. Gas-phase thin-film techniques could potentially provide a number of advantages over the current liquid-phase techniques for depositing such state-of-the-art hybrid thin films. The strongly emerging atomic/molecular layer deposition (ALD/MLD) technique in particular enables the rational fabrication of inorganic–organic thin films in a digital atomic/molecular layer-by-layer manner through successive gas-to-surface reactions of inorganic and organic precursors, but the resultant films have been amorphous. Here, we demonstrate the in situ ALD/MLD growth of well-crystalline calcium terephthalate (Ca-TP) coordination network thin films in a wide deposition temperature range. We moreover investigate the water absorption/desorption characteristics of the films and report att.
Regional policy: What is the most efficient instrument?*

Whatever the reasons at work - differences in locational endowments and/or externalities - a unit of capital is expected to be diversely productive according to the region where it is installed. This article determines which and the extent to which a regional policy could be implemented in order to make up for a productivity handicap. The model allows for comparing the efficiency of a productivity-enhancing instrument (a publicly provided input) with that of instruments that affect capital cost (a lower corporate tax rate, an investment tax credit, or a capital subsidy). The approach is illustrated in the contemporaneous context of France. Copyright (c) 2008 the author(s). Journal compilation (c) 2008 RSAI.
Ecological Quality Analysis of the Rezekne River after Zooplankton

During seasonal studies 2012 (August/October), samples of zooplankton were collected and analyzed according standard method. Chemical quality of the Rezekne River's water investigated. Changes of quantitative and qualitative characteristics, saprobity index, species diversity (Shannon- Wiener index) and Renkonen index were employed for the analysis of zooplankton community structure in the Rezekne River. The Rezekne River saprobity varies from o – saprobity to β – mesosaprobity. The lowest ecological quality was determined in the leg of the Rezekne River in the territory of Rezekne city, which characterises with decrease in the total zooplankton abundance and species diversity according to Shannon - Wiener index, increase of saprobity.
The potential role of open source software in overcoming digital poverty

Developing countries such as Tanzania are characterized by digital poverty and a lack of information and communication technology (ICT) acceptance. The low acceptance is due to various factors, which include resource constraints, infrastructure and lack of ICT skills. The use of open source software (OSS) has been proposed as a potential strategy for addressing ICT acceptance challenges due to the fact that certain OSS characteristics such as cost0effectiveness and cooperative development towards improving skills and innovation seem to deal with some of the root causes of digital poverty and low ICT acceptance. However, despite the generally acknowledged potential of OSS for addressing digital poverty, OSS has not achieved the expected acceptance and usage in Tanzania. The aim of this study is therefore to investigate the potential role of OS in overcoming digital poverty in Tanzania. The first objective aimed to identify specific ICT acceptance challenges. The second objective considered the perceived value of the OSS approach in Tanzania. Finally the ICT acceptance challenges were compared with the perceived value of OSS to gain an understanding of the potential of OSS to address digital poverty in Tanzania. A literature analysis, document analysis as well as observations of open source community activities were conducted to identify the ICT acceptance challenges and to formulate questions for a survey instrument and for selective interviews. Four open source communities in Tanzania were investigated and the findings obtained from these interactions were triangulated to determine the match between the ICT acceptance challenges in Tanzania and the perceived value of OSS. The contribution of the study is a validated list of ICT acceptance challenges specific to Tanzania as well as a confirmation of the potential of OSS for addressing digital poverty. Furthermore pre0conditions for the acceptance of any ICT (including OSS) are identified based on the relationships between access, ICT usage and poverty. The study should be of interest to researchers, policy0makers and reflective practitioners dealing with information systems in developing countries.
Association INTERACTION IN THE ORAL PROFICIENCY INTERVIEW : PROBLEMS OF VALIDITY 1

This article reports on the findings of a discourse analysis study whose purpose was to provide answers to the following research question: What kind of speech event is the OPI? Is it more like an everyday, friendly conversation, an interview, or something else? To obtain some answers to this research question, a discourse analysis of 35 OPIs was conducted. Frequency counts and chi-square inferential statistics were performed on the transcribed and coded OPI data. The results of the discourse analysis were then compared with the prototypical features of the two speech events selected for the study (i.e., conversation and interview) to determine and describe the most typical discourse and linguistic features of the OPI. The findings of the discourse analysis contradict the ETS claim that “a well structured OPI tests speaking ability in a real life context conversation” (ETS 1989). The OPI does not test speaking ability in a real life context conversation. It tests speaking ability in the context of an interview, or more precisely, in the context of a survey research interview, which is based on the behavioristic theory of stimulus and response (Mishler 1986). These findings raise a question about the validity of the OPI testing instrument.
PCR Based Detection of Genetically Modified Soy in Processed Foods Commercially Available in Saudi Arabia

In this research, PCR (polymerase chain reaction) technique was applied to detect the presence of GMO sold in the Saudi Arabian market. This method was applied to detect genetically modified soy (GM-soy) in particular the roundup ready soy (RRS). To confirm the presence of soy, samples were first tested for the existence of the soy specific lectin gene. A total of eighty samples were tested out of which two samples tested positive as GM-soy. Not surprisingly, the findings showed the existence of GM-soy in food products in Saudi. This supports the necessity of developing precise quantitative and qualitative ways for routine analyses and detection of GMO products in the Saudi Arabian market. With the discovery of GM products in the Saudi Arabian market it would be of no surprise that other Middle Eastern nations also knowingly or unknowingly import GM crops.
Game Theory Analysis of Price Decision in Real Estate Industry

Suppose the real estate system is composed of land developer and real estate devel- oper. A model of government, land developer and real estate developer is established. Through using game theory the price decision of land and housing is analyzed. The equilibrium solutions about cooperative game and non-cooperative game are also discussed. Efficiencies of each price decisions are further compared when government profit as well as housing prices is taken into consideration. Research result indicates that cooperation is the optimal strategy and regulating the tax rate in a moderate rang is an efficiency way for government to increase its profit while decreasing housing prices so as to maintain social stability.
Export Diversification and Economic Growth in Malaysia

This paper examines the relationship between export diversification and economic growth in Malaysia. We use annual data from 1980-2007 and time-series techniques of cointegration and Granger causality tests to examine the long-run relationship and dynamic interactions among the variables. The results show the presence of a unique cointegrating vector among the four variables. Consistent with previous studies, we found that export diversification plays significant roles to economic growth in Malaysia. This finding suggests that, in order to sustain future economic growth under the static effect of multilateral and regional trade liberalization, Malaysia should diversify its export commodities and develop greater social and economic cooperation with the rest of the world. As an export-oriented economy, in the long run, export diversification strategy could help stabilizing Malaysia’s export earnings.
SVR-D1.2: A Prediction Model for Population Occurrence of Paddy Stem Borer

In this study, we analyse the SVR-based prediction method for selecting the optimal model framework based on kernel matrix. Moreover, SVR-D1.2 is proposed with the help of the kernel matrix's symmetry and positive definition and kernel alignment. Test results show that there exactly exists the non-line relation between the insect population occurrence and the meteorological factors and the new prediction model, SVR-D1.2, improved prediction accuracy compared with other methods.
Evaluation of Antioxidant Potential of Morinda citrifolia L. Root Extract

This work attempts to determine the antioxidant act ivity of methanolic extract from roots of Morinda citrifolia using invitro model using several methods such as 1,1-Diphenyl-2-Picryl-hydrazyl (DPPH) radical, hydrogen peroxide (H 2O2), superoxide radical, nitric oxide (NO) scavenging as say and FRAP (Ferric ion reducing antioxidant power) assay. The IC 50 value of methanolic extract from roots of Morinda citrifolia L. for DPPH radical scavenging and Ferric ion redu cing antioxidant power assay, was 25µg/ml, while in hydr ogen peroxide scavenging and nitric oxide (NO) assa y it was greater than 50µg/ml. It was more than 25µg/ml for superoxide scavenging assay. The results showed high antiox idant activities in all the methods tested for the extracts. This inves tigation suggested that Morinda citrifolia L. might serve as a potent source of natural antioxidant activity. The results provid e useful information on the pharmacological activit ies associated with this traditional folk remedy.
Exploring Un-Intentional Body Gestures for Affective System Design

Imagine the following situation: a student is attempting a tutorial through an intelligent tutoring system (ITS). During the learning session, he starts scratching on his head. What might be the reason for this action? Is he anxious, or having a problem with his hair? Now imagine how effective the intelligent tutoring system (ITS) could be if it could correctly realize students’ mental state and consequently adopt a suitable instructive strategy to address the situation. Human affect-sensitive system such as envisioned here, capable of interpreting its users’ affect and promising applications proposed by Picard (2000) and others (Brave & Nass, 2002) are source of inspiration for growing interest in researching affective systems. However, reliable recognition of affect needs to address uncertainty and context dependency when mapping affect from human behavioral cues. Uncertainty comes from the fact that affective interpretations vary from person to person and likewise being context dependent these interpretations vary with situation quite often. Here, we discuss our approach to address both of these issues. As such no precise and generally agreed definition of affect or emotion exists. Recently, (Minsky, 2006) describes emotional state as not different from the process such as thinking. Human affect may consist of emotional and/or mental state of a person. Beside verbal expression there are non-verbal means of expressing affect by humans. They include visual cues that may inform about the human affective state. Gestures from face, hand and body are part of human body language (Sebe & Lew, 2003), and may communicate affect in various situations. We consider human body gestures for affect interpretation, and use them for designing affective systems. In this chapter, we report an extension of our earlier work (Abbasi et al., 2007) that explores the presence of body gestures that we found as common among a group of students attending a class lecture. Most of these gestures involve hand movements around the face and are unintentional in nature. We map these gestures to affective states reported by students. We propose using this information for designing an intelligent tutoring system or an affective class barometer. To address the uncertainty in subjective interpretations, we propose using a probabilistic approach. These interpretations are dependent on situational context as they occur in a
On the predictability of common risk factors in the US and UK interest rate swap markets: Evidence from non-linear and linear models

This paper explores the ability of common risk factors to predict the dynamics of US and UK interest rate swap spreads within a linear and a non-linear framework. We reject linearity for the US and UK swap spreads in favour of a regime-switching smooth transition vector autoregressive (STVAR) model, where the switching between regimes is controlled by the slope of the US term structure of interest rates. The first regime is characterised by a "flat" term structure of US interest rates, while the alternative is characterised by an "upward" sloping US term structure. We compare the ability of the STVAR model to predict swap spreads with that of a non-linear nearest-neibours model as well as that of linear AR and VAR models. We find some evidence that the nearest-neighbours and STVAR models predict better than the linear AR and VAR models. However, the evidence is not overwhelming as it is sensitive to swap spread maturity. We also find that within the non-linear class of models, the nearest-neighbours model predicts better than the STVAR model US swap spreads in periods of increasing risk conditions and UK swap spreads in periods of decreasing risk conditions.
Effect of AtNRT2.1 transgene on HATS nitrate uptake in transgenic Nicotiana plumbaginifolia

To investigate the impact of overexpression of AtNRT2.1 transgene from Arabidopsis on nitrate uptake rate and to understand the regulation of endogenous HATS by nitrate and glutamine amino acid (Gln) in tobacco plants, wild-type and transgenic (F line) plants grown on soil for 4 weeks were transferred to hydroponic culture in a controlled-environment with a 16/8h L:D photoperiod at 24? C/20? C, 70% relative humidity and 150 ? mol. m-2. s-1 light intensity. Nitrate uptake over time was studied by the ion depletion method. Nitrate uptake in the 2 h exposure to 150 ? M nitrate showed an increase in the transgenic line compared to the wild-type plant. Subsequently the uptake trend followed a similar pattern in wild-type plant and transgenic plants
Seroprevalence and Comparative Screening of HBsAg in Pediatric Patients

The present study was a cross sectional descriptive study to check the prevalence of Hepatitis B surface Antigen (HBsAg) among pediatric patients which included a total of 2,152 children both male and female who reported to Department of Immunology in Children's Hospital Lahore, from September 2004 to August 2005. The prevalence of HBsAg among the pediatric patients was found to be 5.1%, during the specified course of study. Further, the detailed history of 109 HBsAg reactive subjects was collected to assess the prevalence of HBsAg in different age and sex groups, the distribution of different signs and symptoms among HBsAg positive patients, risk factors among HBsAg positive patients and the prevalence of HBsAg on the basis of socio-economic status. Finally, to evaluate the immunochromatographic method (Bioline), using Enzyme Linked Immunosorbent Assay (ELISA, Biorad) as golden standard for the detection of HBsAg, a sub-cohort of 200 subjects was analyzed. The specificity and sensitivity of the immunochromatographic method was found to be 99.5% and 84.6% respectively. From this evaluation it was concluded that immunochromatographic technique is less reliable for screening than the ELISA.
Lagrangian Mixing Dynamics at the Cloudy-Clear Air Interface

The entrainment of clear air and its subsequent mixing with a filament of cloudy air, as occurs at the edge of a cloud, is studied in three-dimensional direct numerical simulations that combine the Eulerian description of the turbulent velocity, temperature, and vapor fields with a Lagrangian cloud droplet ensemble. Forced and decaying turbulence is considered, such as when the dynamics around the filament is driven by larger-scale eddies or during the final period of the life cycle of a cloud. The microphysical response depicted innd 2 hr 3 ispace (wherend andr are droplet number density and radius, respectively) shows characteristics of both homogeneous and inhomogeneous mixing, depending on the Damk€ number. The transition from inhomogeneous to homogeneous mixing leads to an offset of the homogeneous mixing curve to larger dilution fractions. The response of the system is governed by the smaller of the single droplet evaporation time scale and the bulk phase relaxation time scale. Variability within the nd 2 hr 3 i space increases with decreasing sample volume, especially during the mixing transients. All of these factors have implications for the interpretation of measurements in clouds. The qualitative mixing behavior changes for forced versus decaying turbulence, with the latter yielding remnant patches of unmixed cloud and stronger fluctuations. Buoyancy due to droplet evaporation is observed to play a minor role in the mixing for the present configuration. Finally, the mixing process leads to the transient formation of a pronounced nearly exponential tail of the probability density function of the Lagrangian supersaturation, and a similar tail emerges in the droplet size distribution under inhomogeneous conditions.
An Investigation on Internet of Things Technology (IoT) In Smart Houses

Existing scientific developments have enabled new technological approaches to emerge. 'Internet of Objects' (IoT) technology is one of these approaches. Using the standard internet protocol, this technology can transfer wirelessly the data obtained by digitizing the data of the object or the domain of the adapter that it is adapting to the server. Digitized data; can be humidity, noise, temperature, pressure, of an environment etc., as well as the number of uses of any device, energy consumption, damage analysis, physical condition or security management. A server or interconnected objects can be controlled remotely by the user via the Internet. In this regard, IoT technology offers significant opportunities for use in living spaces. The emergence of applications such as 'Smart Connected Homes' can be expressed in this context. In the literature review, it is seen that there are many academic studies about the use of IoT technology in smart houses. In the literature review, it is seen that there are many academic studies about the use of IoT technology in smart houses. In these researches, IoT technology is used in smart houses; Security, privacy, personalization and physical environment control. This study aims to examine the academic studies on the use of IoT in smart homes through a systematic literature review from the beginning of the 2000s. Scanned work is classified according to their content and keywords and analyzed in detail within the scope of examining IoT technology. With this study, it is also aimed to draw attention to the untouched points by foreseeing future use of IoT in intelligent houses.