Miracle-dz/UniFAR-FTUs huggingface dataset:
Intraband memory function and memory-function conductivity formula in doped graphene

The generalized self-consistent field method is used to describe intraband relaxation processes in a general multiband electronic system with presumably weak residual electron-electron interactions. The resulting memory-function conductivity formula is shown to have the same structure as the result of a more accurate approach based on the quantum kinetic equation. The results are applied to heavily doped and lightly doped graphene. It is shown that the scattering of conduction electron by phonons leads to the redistribution of the intraband conductivity spectral weight over a wide frequency range, however, in a way consistent with the partial transverse conductivity sum rule. The present form of the intraband memory function is found to describe correctly the scattering by quantum fluctuations of the lattice, at variance with the semiclassical Boltzmann transport equations, where this scattering channel is absent. This is shown to be of fundamental importance in quantitative understanding of the reflectivity data measured in lightly doped graphene as well as in different low-dimensional strongly correlated electronic systems, such as the cuprate superconductors.
Factors That Influence the Success of Small and Medium Enterprises in ICT: A Case Study from the Czech Republic

Small and medium enterprises (SMEs) occupy a large niche in the information and technology sector (ICT) and play an important role in the functioning on any state’s economy. This paper focuses on a specific local market and uses the Czech Republic as a case study in order to establish the success factors crucial for achieving economic success. It aims at determining those factors with the help of econometric success rate models based on the own data collected via the means of questionnaire survey among ICT enterprise. Our results show that the earnings-employee ratio, average revenues and the investment in own R&D play the most important role in the success of Czech SMEs in question. Both, financial and non-financial indicators perform significantly in the predictions of success.
A new algorithm for epilepsy seizure onset detection and spread estimation from EEG signals

Appropriate diagnosis and treatment of epilepsy is a main public health issue. Patients suffering from this disease often exhibit different physical characterizations, which result from the synchronous and excessive discharge of a group of neurons in the cerebral cortex. Extracting this information using EEG signals is an important problem in biomedical signal processing. In this work we propose a new algorithm for seizure onset detection and spread estimation in epilepsy patients. The algorithm is based on a multilevel 1-D wavelet decomposition that captures the physiological brain frequency signals coupled with a generalized gaussian model. Preliminary experiments with signals from 30 epilepsy crisis and 11 subjects, suggest that the proposed methodology is a powerful tool for detecting the onset of epilepsy seizures with his spread across the brain.
Tailoring of the Local Environment of Active Ions in Rare-Earth- and Transition-Metal-Doped Optical Fibres, and Potential Applications

During the last two decades, the development of optical fibre-based sophisticated devices have benefited from the development of very performant optical fibre components. In particular, rare-earth (RE)-doped optical fibres have allowed the extremely fast development of fibre amplifiers for optical telecommunications (Desurvire, 1994, 2002), lasers (Digonnet, 2001) and temperature sensors (Grattan & Sun, 2000). The most frequently used RE ions are Nd3+, Yb3+, Er3+ and Tm3+ for their optical transitions in the near infrared (NIR) around 1, 1.5 and 2 μm. A great variety of RE-doped fibres design have been proposed for specific applications: depending of the RE concentration and nature of the fibre glass, various schemes (in terms of electronic transition within the RE populations) have been implemented. For example, Er3+-doped fibre amplifiers (EDFA) for long haul telecommunications use the very efficient 1.55 μm optical transition, whereas high concentrations of Yb3+ and Er3+ codoped in the same fibre allowed efficient non-radiative energy transfers from the ‘sensitizer’ (Yb3+) to the ‘acceptor’ (Er3+) in order to increase the power yield of the system, applied in power amplifiers and lasers. All the developed applications of amplifying optical fibres are the result of time consuming and careful optimization of the material properties, particularly in terms of dopant incorporation in the glass matrix, transparency and quantum efficiency. RE-doped fibres are made of a choice of glasses: silica is the most widely used, sometimes as the result of some compromises. Alternative glasses, including low maximum phonon energy (MPE) ones, are also used because they provide better quantum efficiency or emission bandwidth to some optical transitions of particular RE ions. The icon example is the Tm3+-doped fibre amplifier (TDFA) for telecommunications in the S-band (1.48-1.53 μm) (Komukai et al., 1995), for which low MPE glasses have been developed: oxides (Minelly & Ellison, 2002; Lin et al., 2007), fluorides (Durteste et al., 1991), chalcogenides (Hewak et al., 1993), etc. Although some of these glasses have a better transparency than silica in the infrared spectral region (above 2.3 μm), for applications in the NIR these glasses have some drawbacks not acceptable at a commercial point of view: high
Variability of massive stars with known spectral types in the Small Magellanic Cloud using 8 years of OGLE-III data

We present a variability study of 4646 massive stars in the Small Magellanic Cloud (SMC) with known spectral types from the catalog of Bonanos et al. (2010) using the light curves from the OGLE-III database. The goal is to exploit the time domain information available through OGLE-III to gain insight into the processes that govern the evolution of massive stars. This variabil ity survey of massive stars with known spectral types is larger than any previous survey by a factor of 7. We find that 60% of our sample (27 66 stars) show no significant variability and 40% (1880 stars) e xhibit variability distributed as follows: 807 stars displ ay low-amplitude stochastic variability with fluctuations in I−band of up to 0.05 mag, 443 stars present irregular variabili ty of higher amplitude (76% of these are reported as variables for the first time), 205 are ec lipsing binaries (including 101 newly discovered systems), 50 are candidate rotating variables, 126 are classical Cepheids, 188 stars e xhibit short-term sinusoidal periodicity ( P < 3 days) making them candidate “slowly pulsating B stars” and non-radial Be pulsators, and 61 periodic stars exhibit longer periods. We demonstrate the wealth of information provided in the time domain, by doubling the number of known massive eclipsing binary systems and identifying 189 new candidate early-type Be and 20 Oe stars in the SMC. In addition, we find that ∼ 80% of Be stars are photometrically variable in the OGLE-III time domain and provide evidence that short-term pulsating stars with additional photometric variabilit y are rotating close to their break-up velocity.
The Relationship between the Presence of Enterotoxin Type B Gene and Antibiotic Resistance in Staphylococcus aureus

Staphylococcus aureus is a hazard to human health since they can cause a wide variety of hospital-associated infections ranging from minor skin infections to post-operative wound infections and food poisoning which produces many different virulence factors, including enterotoxins (SEs). Although studies have been done regarding the difference between virulence factors of sensitive strains and resistant to antibiotics, the aim of this study was to investigate this topic in different patients. This cross-sectional study was performed on 100 patients admitted to a hospital in Tehran. After preparing of wounds samples, antibiogram study was done by disc diffusion method and prevalence of staphylococcal enterotoxin type B or seb gene was confirmed by Polymerase Chain Reaction. Data was analyzed using SPSS 17 software. Results showed that the highest percentage of isolates with positive seb gene is about 7% which related to amoxicillin (6.6%), penicilline and cotrimoxazole (6.5%). More than 90% of isolate are resistant to amoxicillin, penicillin and cotrimoxazol. According to results, a significant relationship between seb gene and resistance to related antibiotics was not observed. Keywords: Antibiotic Resistance, Enterotoxin B Gene, Relationship, Staphyloccus aureus
The Cascode LNA with RF Amplifier at 5.8GHz Using T-Matching Network for WiMAX Applications

This paper presents the Cascode LNA with RF amplifier at 5.8GHz using T-matching network applicable for WIMAX application. The Cascode LNA uses FHX76LP Low Noise SuperHEMT FET and RF amplifier use EPA018A. The LNA designed used T-matching network consisting of lump element reactive element at the input and the output terminal. The Cascode LNA with RF amplifier produced gain of 36.4 dB and noise figure (NF) at 1.3dB. The input reflection (S11) and output return loss (S22) are -12.4dB and -12.3 dB respectively. The bandwidth of the amplifier is more than 1.2GHz. The input sensitivity is compliant with the IEEE 802.16 standards
Genetic Improvement of Oilseed Crops Using Modern Biotechnology

In 2009, big challenges facing the agricultural sector in the twenty-first century were presented to the world. Human population growth, increased life expectancy, loss of biodiversity, climate change and accelerated land degradation are the main factors con- tributing to rethink agriculture system production. In that scenery, modern biotechnology has set a stage for the advancement of agricultural practices and it is clearly an important ally to apply a broad array of technologies and innovative systems where they are most needed, such as enhancing crop productivity, increasing yields, and ultimately ensuring food security. One of the biggest challenges is related to technify production systems, but with no doubt, developing genetic improvement toward getting an efficient and sus - tainable agriculture, generating new seed qualities (new traits), such as, among others, to upset fatty acids content in oilseed crops have been growing up significantly due to industry interest. In this study, a review about the main advances in genetic improvement of some oilseed crops, starting with omics to understand metabolic routes and to find out key genes in seed oil production, and also, getting in use of modern biotechnology to alter the production of fatty acids, and to face biotic challenges in oilseed crops is presented. plants. nodes using Agrobacterium rhizogenes , placed under a 35S-35S promoter (a variant of the cauliflower mosaic virus 35S promoter with higher transcriptional activity) to drive transgenic expression, into pBin438 vector with kanamycin resistance gene (for bacterial selection) and the hygromycin phosphotransferase gene (for plant transformation selection). These authors demonstrated that canola FCA-RRM2 increases plant size, organ size, cell size, plant productivity and oil content. According to the author of that research, these results provide a practical approach for the genetic improvement of this plant.
Classic and modern measures of risk in fixed-income portfolio optimization

Purpose – Interest rate risk immunization is one of the key concerns for fixed income portfolio management. In recent years, the affluence of new risk measures has emphasized the importance of comparing them with the classic approaches. As a result, one question arises: what is the relation among classic risk measures (e.g. Macaulay duration, convexity, and dispersion) and other more recent risk measures (e.g. value-at-risk and conditional value-at-risk) as tools for the formation of an optimum investment portfolio? This article aims to discuss this issue. Design/methodology/approach – To enhance objectivity, an empirical study has been conducted on the US Treasury bonds market by means of the formation of different portfolios among a selected set of bonds with different maturities and structures. In addition, information about yields from the mid-1990s and early 2000s has been used to find the optimum portfolio compositions based on each alternative risk measure. Findings – The main finding of the study is that there is an absence of relationships between those portfolios optimized by classic measures and those optimized by modern measures. The results show how both types of risk measures lead to quite different portfolios. Practical implications – The behavior of modern risk measures has been examined, with the finding that, when VaR is used, the sensitivity of the optimal portfolio with respect to the level of confidence is too high. Finally, if CVaR is used, then the optimal portfolio is quite stable with respect to the confidence level. Originality/value – This is the first paper to compare classic and modern measures of interest rate risk in fixed income portfolios. It is of value to decision makers, experts, and economic researchers.
Supervised Classification for a Family of Gaussian Functional Models

Abstract. In the framework of supervised classification (discrimination) for functional data, it is shown that the optimal classification rule can be explicitly obtained for a class of Gaussian processes with ‘triangular’ covariance functions. This explicit knowledge has two practical consequences. First, the consistency of the well‐known nearest neighbours classifier (which is not guaranteed in the problems with functional data) is established for the indicated class of processes. Second, and more important, parametric and non‐parametric plug‐in classifiers can be obtained by estimating the unknown elements in the optimal rule. The performance of these new plug‐in classifiers is checked, with positive results, through a simulation study and a real data example.
The Paradox of Globalization

What is the impact of globalization on labor in the advanced industrial countries? One body of work holds that globalization pushes all countries toward neoliberalism; another argues that the impact of globalization will vary according to prevailing institutional arrangements and predicts continued divergence between the so-called liberal and coordinated market economies. In an analysis of the German case that combines case-study and formal-modeling methods, we refute the first, neoliberal convergence, theory, showing that globalization in some ways empowers unions by rendering employers extremely vulnerable to industrial unrest. Furthermore, we suggest some revisions to the second, varieties of capitalism, perspective. We show that, in Germany, employers' increased vulnerability to conflict has shored up centralized bargaining arrangements in the short run, but at the same time, has also set in motion feedback effects that are deeply destabilizing to the system in the longer term.
Effect of Ground Water Arsenic on the Liver of Albino Rat

Arsenic is a known poison of environmental and industrial origin. Prolonged exposure is associated with vascular diseases, skin lesions and cancer. The predominant form of arsenic in the nature is the pentavalent arsenate (AsV), which enters the body mainly via contaminated drinking water. The arsenic contaminated water samples were collected from different areas of Agra district and the arsenic concentration was estimated. Four groups of five albino rats each were administered 0.02 mg/litre arsenic present in drinking water for 7, 14 and 21 days respectively. After stipulated period the liver tissue was isolated for histopathological studies. The body weight, organ weight and their ratio decreased significantly (p<0.001). However, the SGOT, SGPT, ACP and ALP has shown an increase significantly (p<0.001) as compared to control groups. The histopathology of liver shows necrosis, appearance of vacuoles, nuclear degeneration changes after arsenic toxication. However, the alteration in enzymes and histopathological changes are dose dependent in the present investigation.
The FDI-Growth Nexus in South Africa: A Re-Examination Using Quantile Regression Approach

Abstract This study sought to contribute to the growing empirical literature by investigating the effects of FDI on per capita GDP growth for South Africa using time series data collected between 1970 and 2016. Compared to the majority of previous studies, we use quantile regressions which investigates the effects of FDI on economic growth at different distributional quantiles. Puzzling enough, the empirical results show that FDI has a negative influence on welfare at extremely low quantiles whereas at other levels this effect turns insignificant. Contrary, the effects of domestic investment on welfare is positive and significant at all levels. Collectively, these results have important implications for policymakers in South Africa.
THE IMPACT OF TRADE OPENNESS ON ECONOMIC GROWTH: THE CASE OF BRICS

This paper revisits the empirical evidence on the relationship between trade openness and long-run economic growth through heterogeneous panel of 5 countries over the sample period 2004-2012. By using panel data the hypothesis that trade openness through its special mechanisms positively affects the economic growth of these countries is investigated. It can be inferred from the study that, trade openness must be promoted in BRICS nations to enhance economic growth.
Personal Electronic Health Record for Patients with Diabetes; Health Technology Assessment Protocol

Introduction : In recent decades, diabetes has contributed significantly to the burden of disease in developed and developing countries, due to the considerable prevalence and involvement of various age groups in the communities.Today, a variety of ways to manage and control the disease are used, one of which is the use of personal electronic health records. Recently there has been a remarkable upsurge in activity surrounding the adoption of personal electronic health records systems for patients and consumers. personal electronic health records systems are more than just static repositories for patient data; they combine data, knowledge, and software tools, which help patients to become active participants in their own care.The present study was conducted with the goal of Health Technology Assessment the impact of personal electronic health records in Patients with Diabetes. Methods : Writing is based on PRISMA standards. This was a Health Technology Assessment study. It aimed to evaluate the technology of personal electronic health record . The scoping review was conducted to evaluate 8 dimensions (Health Problem and Current Use of the Technology, Description and technical characteristics of technology, Safety, Costs and economic evaluation, Ethical analysis, Organisational aspects, Patients and Social aspects, Legal aspects) of Personal electronic health record . This study was based on answering questions which were developed based on Health Diagnostics Technology Assessment Documents Framework and HTA Core Model 3.0 . A systematic review was conducted to evaluate the Clinical Effectiveness dimension of personal electronic health record in controlling diabetes. In order to gather evidences, Ovid databases, Cochrane Library, PubMed, CRD, Trip database and EMBASE, and Randomized Controlled Trial Registries, such as the Clinical Trial and Trial Registry, were searched using specific keywords and strategies. Articles are evaluated on the basis of the quality criteria of JADAD.The data is analyzed by the STATA software. Dissemination :The results of the study will be published in a peer-reviewed journal and presented at relevant conferences.Policy makers and healthcare decision-makers can use these results.
Effect of Regulated Deficit Irrigation on Growth and Yield of Sorghum

The effects of regulated deficit irrigation technique on growth and yield of sorghum was examined in a greenhouse at the Faculty of Agrotechnology and Food Science Research Farm, University Malaysia Terengganu. The experiments regulated deficit irrigation (RDI) consisted of a factorial combination of irrigation regimes and soil types laid in a randomised complete block design with eight treatments for each experiment which resulted into a total of sixteen treatments. Irrigation regimes were at four levels namely: I 100 , I 75 , I 50 and I 25 and the soil types were at two levels namely: Rhu Tapai and Rengam soil series. The treatments were randomly assigned to experimental pots and replicated four times. A total of thirty two pots were used for the study. All agronomic practices starting from land preparation to harvesting were adhered to and growth parameters were recorded for both experiments. The result of the study shows that sorghum performance improved under regulated deficit irrigation techniques. The results further revealed that, irrigation regimes I 100 and I 75 performed better in terms of growth parameters, crop water use efficiency, economic performance and profitable measures under RDI and compared to I 50 and I 25 irrigation regimes. The study also revealed that there were interaction effects of deficit irrigation and the two types of soil on some of the parameters used for the study. The study, therefore, recommended the use of I 75 , for optimizing sorghum growth in this agro ecological zone. Keywords : Regulated deficit irrigation, Growth, Yield, Sorghum, Water use efficiency
A novel, broadband spectroscopic method to measure the extinction coefficient of aerosols in the near-ultraviolet

Few in situ methods can currently measure the optical properties of aerosols in the near-ultraviolet spectral region. Such measurements are necessary to determine the radiative forcing of different particle types and the subsequent effect on local photochemistry, especially in and around large urban centers. In this work, we demonstrate a system based on incoherent broadband cavity-enhanced absorption spectroscopy (IBBCEAS) to measure the aerosol extinction coefficient with high sensitivity. The system was applied across an atmosphere simulation chamber and had continuous spectral coverage from 320 to 410 nm. Systems studied were ammonium sulfate aerosol and secondary organic aerosol (SOA) formed from the photolysis of 1-nitronaphthalene, an important nitro-polycyclic aromatic hydrocarbon.
Security Evaluation Research of Mobile Payment Application Based on SVM

With the increase of mobile payment malicious applications, an accurate assessment of their safety is particularly important. In recent years, machine learning methods have achieved good results in text recognition, medical diagnosis, anomaly detection and other fields. Therefore, we consider the introduction of the application of many features including application signature information, application permissions, suspicious API, special string to construct a sample feature space and evaluate the safety of mobile payment applications based on support vector machine algorithm. By comparing the accuracy of a variety of algorithms, the algorithm is turned to be feasible. The importance of the evaluation index is different during the sample classification and there is a difference in the performance of the kernel function under different conditions. So this paper studies the performance of the classifier in different evaluation index set, kernel function and feature weights. It proves that the polynomial kernel support vector machine method is best based on feature weights after the introduction of four types of evaluation index. This method properly avoids the problem of low accuracy due to a single feature while eliminating the adverse effects of weak correlation evaluation index.