Miracle-dz/UniFAR-FTUs huggingface dataset:
On the breakdown of perturbative integrability in large N matrix models

We study the perturbative integrability of the planar sector of a massive SU(N) matrix quantum mechanical theory with global SO(6) invariance and Yang-Mills-like interaction. This model arises as a consistent truncation of maximally supersymmetric Yang-Mills theory on a three-sphere to the lowest modes of the scalar fields. In fact, our studies mimic the current investigations concerning the integrability properties of this gauge theory. Like in the field theory we can prove the planar integrability of the SO(6) model at first perturbative order. At higher orders we restrict ourselves to the widely studied SU(2) subsector spanned by two complexified scalar fields of the theory. We show that our toy model satisfies all commonly studied integrability requirements such as degeneracies in the spectrum, existence of conserved charges and factorized scattering up to third perturbative order. These are the same qualitative features as the ones found in super Yang-Mills theory, which were enough to conjecture the all-loop integrability of that theory. For the SO(6) model, however, we show that these properties are not sufficient to predict higher loop integrability. In fact, we explicitly demonstrate the breakdown of perturbative integrability at fourth order.
Scenario Simulation and the Prediction of Land Use and Land Cover Change in Beijing, China

Land use and land cover (LULC) models are essential for analyzing LULC change and predicting land use requirements and are valuable for guiding reasonable land use planning and management. However, each LULC model has its own advantages and constraints. In this paper, we explore the characteristics of LULC change and simulate future land use demand by combining a CLUE-S model with a Markov model to deal with some shortcomings of existing LULC models. Using Beijing as a case study, we describe the related driving factors from land-adaptive variables, regional spatial variables and socio-economic variables and then simulate future land use scenarios from 2010 to 2020, which include a development scenario (natural development and rapid development) and protection scenarios (ecological and cultivated land protection). The results indicate good consistency between predicted results and actual land use situations according to a Kappa statistic. The conversion of cultivated land to urban built-up land will form the primary features of LULC change in the future. The prediction for land use demand shows the differences under different scenarios. At higher elevations, the geographical environment limits the expansion of urban built-up land, but the conversion of cultivated land to built-up land in mountainous areas will be more prevalent by 2020; Beijing, however, still faces the most pressure in terms of ecological and cultivated land protection.
A planar microstrip RF energy harvester 3D cube antenna for multiple frequencies reception

Energy storage and finding its alternate solution is basic demand in recent years. To resolve this problem we need to use naturally available ambient energy source. This paper focuses on RF energy harvesting by designing 3D antenna for getting efficient RF-DC conversion and energy solution by multiple frequency reception. This paper includes mainly 3D cubic patch array design consisting of 4 frequencies 915MHz, 2.4GHz, 2.67 GHZ and 5.8GHz at 4 sides of cube with high RF-DC conversion rate and high throughput power as output. In this paper non-radiating edge gap coupled rectangular Microstrip antenna is used for the proposed RF energy harvesting system. The software used for processing are HFSS for antenna design and simulation. The substrate used is FR4 with εr=4.4, and RT/Duroid 5880 εr= 2.2 substrate. The two feeding methods are used Microstrip line feed and inset line feed. At 915 MHz and 2.45 GHz gain obtained is 9 and 12dB. VSWR (Voltage Standing Wave Ratio) is 1.2 and 1.3 respectively. The obtained microwave power is of 56μW. The rectifier model is of 5 stage CMOS model consisting of Schottky diode and rectified under series Skyworks SMS7630-079. This paper combine 4 frequencies in 2 patch array design mainly 4x4 and end fire array design and 2 substrate.
Dual-input DC-DC power converter for solar battery charger

In this paper, a new solar battery charger is proposed. The solar battery charger is composed of two solar modules and a dual-input DC-DC power converter. The two solar modules are connected to the dual input ports of dual-input DC-DC power converter, and the output of dual-input DC-DC power converter is connected to a battery set. The operation of dual-input DC-DC power converter is divided into two modes. One is the switched series/parallel operation of solar modules, and the other is the parallel operation of solar modules. The salient feature of the proposed solar battery charger is that the voltage change in every switching operation is reduced. Hence the passive elements of dual-input DC-DC power converter can be reduced. To verify the performance of the proposed solar battery charger, a prototype is developed and tested. The experimental results show that the proposed solar battery charger has the expected performance.
Nexplorer: phylogeny-based exploration of sequence family data

SUMMARY Nexplorer is a web-based program for interactive browsing and manipulation of character data in NEXUS format, well suited for use with alignments and trees representing families of homologous genes or proteins. Users may upload a sequence family dataset, or choose from one of several thousand already available. Nexplorer provides a flexible means to develop customized views that combine a tree and a data matrix or alignment, to create subsets of data, and to output data files or publication-quality graphics. AVAILABILITY Web access is from http://www.molevol. org/nexplorer
Indentation test of soft tissue for investigating needle tissue machining

In biopsy operations, a sharp edged needle is used to cut and remove the desired tissue specimen to identify and diagnose cancer and other diseases. Accurate needle insertion into soft tissue is of practical importance in cancer diagnosis and therapies. When the needle is inserting into soft tissue, the nonlinear material behaviors result in large tissue deformation and the needle deflection, which will induce large insertion error. In this paper, the concept of needle tissue machining was introduced. Tissue is a new “work piece material” in cutting process, and its mechanical properties have crucial effects on the machining process. Indentation experiments of porcine livers are performed to measure the force response depending on various indentation depths and indentation velocities. The Kelvin model and Neo-Hookean model are selected to develop the nonlinear model of porcine liver. Matlab codes based on Nonlinear Least Square Method have been created to fit the indentation results. This methodology can be used to investigate needle bending, soft tissue deformation and cutting behaviors.
A Survey on Security Solutions of Top e-Banking Providers from an Eastern European Market

We analyse the security of e-banking services from top e-banking providers on the Romanian market. This location is relevant from at least two reasons: it’s a dynamic and diverse market situated at the crossroads between central and eastern Europe and half of the providers come from foreign markets (CitiBank, ING, Raiffeisen, etc.) or are acquired by Western European providers (Societe Generale, Erste Bank, Unicredit). Therefore, most of the solutions employed here are not at all different from their foreign counterparts, we do in fact observe to be no correlation between the security level and the origin of the provider. We show the security mechanisms to be technically sparse: from simple password based authentication to stronger authentication based on one-time password calculators or digital certificates installed in browsers. We do conclude that many of them are insecure against phishing attacks and in fact none of them is completely secure against stronger attacks such as Man-in-the-browser (MitB) attacks. Finally, we conduct a study on user awareness on security threats and preferences for e-banking authentication. This shows a significant percentage of users to be still unaware of attacks but fortunately the vast majority of users prefer security rather than usability in e-banking products.
A Probit Model for the State of the Greek GDP Growth

The paper provides probability estimates of the state of the GDP growth. A regime-switching model defines the probability of the Greek GDP being in boom or recession. Then probit models extract the predictive information of a set of explanatory (economic and financial) variables regarding the state of the GDP growth. A contemporaneous, as well as a lagged, relationship between the explanatory variables and the state of the GDP growth is conducted. The mean absolute distance (MAD) between the probability of not being in recession and the probability estimated by the probit model is the function that evaluates the performance of the models. The probit model with the industrial production index and the realized volatility as the explanatory variables has the lowest MAD value of 6.43% (7.94%) in the contemporaneous (lagged) relationship.
Model-Based 3D Object Tracking with Online Texture Update

We propose a real-time 3D object tracking method robust to illumination change. Recent research studies on edge-based tracking using a 3D CAD model have mainly focused on improving robustness to rapid motion, with little attention given to illumination change. We tackle this problem by dynamically estimating the surface texture information of the 3D model of an object to be tracked, as well as its pose. The effectiveness of our method is shown through experiments in real settings.
Moderate and severe plaque psoriasis: cost-of-illness study in Italy

Psoriasis is a chronic inflammatory, immune-mediated skin disorder that affects 1.5–1.8 million people in Italy. The most common form of the disease is chronic plaque psoriasis, affecting about 90% of psoriasis patients, with about 20%–30% of them suffering from a moderate or severe condition. Little information is available about the economic impact of psoriasis in European countries. The primary objective of this study was to perform a cost-of-illness analysis of patients with moderate and severe plaque psoriasis in Italy. Therefore, direct, indirect costs, and intangible costs (quality of life – QoL) were assessed. In this national, multicenter, prospective, 3-month cost-of-illness study of moderate and severe plaque psoriasis, direct and indirect costs were assessed from the patient, third-party payer (National Health Service, NHS), and societal perspectives. From November 2003 to October 2004 consecutive patients were enrolled over a 1-year period, in order to minimize seasonal fluctuations in disease severity. 150 patients enrolled in 6 investigational sites in Italy, completed the study, and were eligible to be analyzed according to the study protocol. Intangible costs (QoL) were measured using SF36 and DLQI questionnaires. The mean total cost for psoriasis (average Psoriasis Area Severity Index [PASI] score 21.4), including direct and indirect items, was €8,371.61 per patient per year. The mean cost for patients with moderate disease (PASI ≤ 20) was €5,226.04, while the mean cost for patients with more severe disease (PASI > 20) was €11,434.40 per year. Disease heavily affected QoL measured using SF36, and the impairment was greater in patients affected by a more severe form of disease. Moderate and severe plaque psoriasis is associated with extremely high costs, which are related to disease severity. Data from this study show that the more severe plaque psoriasis, the higher the direct and indirect costs for its management. Direct costs are higher than indirect costs; hospitalization represents the most significant item, accounting for 30% of the total expenses. QoL in moderate and severe plaque psoriasis is low compared with the population at large, confirming the high impact of plaque psoriasis on QoL. The relatively high average annual costs per patient point to the need for a more efficient and long-term control of psoriasis.
Analysis of the pilot contamination effect in very large multicell multiuser MIMO systems for physical channel models

We consider multicell multiuser MIMO systems with a very large number of antennas at the base station. We assume that the channel is estimated by using uplink training sequences, and we consider a physical channel model where the angular domain is separated into a finite number of directions. We analyze the so-called pilot contamination effect discovered in previous work, and show that this effect persists under the finite-dimensional channel model that we consider. We further derive closed-form bounds on the achievable rate of uplink data transmission with maximum-ratio combining, for a finite and an infinite number of base station antennas.
Helical jets in blazars - Interpretation of the multifrequency long-term variability of AO 0235+16

The long-term variability of the multiwavelength blazar emission can be interpreted in terms of orientation variations of a helical, inhomogeneous, non-thermally emitting jet, possibly caused by the orbital motion of the parent black hole in a binary system (Villata & Raiteri 1999). The helical-jet model is here applied to explain the quasi-periodic radio-optical light curves and the broad-band spectral energy distributions (SEDs) of the BL Lac object AO 0235+16. Through a suitable choice of the model parameters, the helix rotation can well account for the periodicity of the main radio and optical outbursts and for the corresponding SED variability, while the interspersed minor radio events could be interpreted as due either to some local distortions of the helical structure or to other phenomena contributing to the source emission. In particular, the probable existence of flow instabilities provides a viable interpretation for the non-periodic features.
A study of Jupiter's aurorae with XMM-Newton

We present a detailed analysis of Jupiter's X-ray (0.2−10 keV) auroral emissions as observed over two XMM- Newton revolutions in Nov. 2003 and compare it with that of an earlier observation in Apr. 2003. We discover the existence of an electron bremsstrahlung component in the aurorae, which accounts for essentially all the X-ray flux above 2 keV: its pr esence had been predicted but never detected for lack of sensitivit y of previous X-ray missions. This bremsstrahlung component varied significantly in strength and spectral shape over the 3.5 day s covered by the Nov. 2003 observation, displaying substantial hardening of the spectrum with increasing flux. This variabi lity may be linked to the strong solar activity taking place a t the time, and may be induced by changes in the acceleration mechanisms inside Jupiter's magnetosphere. As in Apr. 2003, t he auroral spectra below 2 keV are best fitted by a superposition of line emission most likely originating from ion charge exchange, with OVII playing the dominant role. We still cannot resolve conclusively the ion species responsible for the lowest energy lines (around 0.3 keV), so the question of the origin of the ions (magnetospheric or solar wind) is still open. It is conceivable that both scenarios play a role in what is certainly a very complex planetary structure. High resolution spectra of the whole planet obtained with the XMM-NewtonReflection Grating Spectrometer in the range 0.5−1 keV clearly separate emission lines (mostly of iron) originating at low latitudes on Jupiter from the auroral lines due t o oxygen. These are shown to possess very broad wings which imply velocities of∼5000 km s −1 . Such speeds are consistent with the energies at which precipitating and charge exchanging oxygen ions are expected to be accelerated in Jupiter's magnetos phere. Overall we find good agreement between our measurements and t he predictions of recently developed models of Jupiter's auroral processes.
An Approach of Semantic Similarity by Combining HowNet and Cilin

Knowing semantic similarity is very important for many applications of computational linguistics and artificial intelligence. This paper proposes a hybrid approach that combines HowNet and Cilin to calculate semantic similarities in order to address the issue of absence or roughness of words in HowNet. We compare experiment results of our approach with those tests with those produced by Word Net-based similarity measurements. One of the benchmarks is Miller and Charles' list of 30 noun pairs which had been manually designated similarity measurements. We correlate our experiments with those computed by several other methods. Experiments on Chinese word pairs show that our approach is the closet to human similarity judgments.
Bio-electrode in Mechanistic Study of Lipoxygenase with Fatty Acids from Cooking Palm Oil

In this work a two-enzyme system catalyzing two consecutive reactions, namely, (i) Candida rugosa lipase type VII hydrolyzed the cooking palm oil producing fatty acids and (ii) soybean lipoxygenase-1 (type I-B) (SLO) in modified Nafion membrane carbon electrode oxidized the fatty acids to generate cathodic current. The hydrolysis was optimum at pH 7.5, temperature 37 °C, incubation time 60 min and the respective weights of enzyme and substrate 0.1 and 2 g. Cyclic voltammograms at the optimized conditions showed that the introduction of lipase to the substrate of oil emulsion has increased the cathodic current density. Parameters such as potassium phosphate buffer (pH 7) and SLO (0.4 mg mL-1) were also crucial for a higher current density. The dodecyl trimethyl ammonium bromide, used to modify the Nafion membrane, was found to be the most suitable salt for the immobilization of the lipoxygenase enzyme. The results indicate that this could provide the basis for the construction of a bio-cathode in the bio-fuel cell.
Determining the Optimal Strategies for Stochastic Positional Games with Discounted Payoffs

We formulate and study a class of stochastic positional games applying the concept of positional games to finite state space Markov decision processes with expected total discounted cost criterion. Necessary and sufficient conditions for the existence of Nash equilibria in stochastic positional games with discounted payoffs are proven and some approaches for determining the optimal stationary strategies of the players are analyzed. Efficient iterative algorithms for determining the optimal strategies of the players for the considered class of games are proposed and grounded. These results extend Nash equilibria conditions for deterministic positional games and can be used for studying Shapley stochastic games with discounted payoffs.
Risk-Based Attack Surface Approximation.

In our increasingly interconnected world, software security is an increasingly important issue for development teams. However, there is too much security work to do for these teams as security needs have out-scaled security resources. To help prioritize security efforts, professionals use the attack surface of a system, or the sum of all paths for untrusted data into and out of a system, to identify security relevant code. However, identifying code that lies on the attack surface is a difficult and resource-intensive process. Our research proposes the use of crash dump stack traces as an empirical metric for approximating the attack surface. We hypothesize that code that appears on crash dump stack traces represent activity that has put the system under stress, and is therefore indicative of potential security vulnerabilities. The goal of this research is to aid software engineers in prioritizing security efforts by approximating the attack surface of a system via crash dump stack trace analysis. In a trial on Mozilla Firefox, the risk-based attack surface approximation selected 15.8% of files and contained 73.6% of known vulnerabilities. Randomly sampling 10% of crash dump stack traces for inclusion in our analysis resulted in only 2.7% fewer known vulnerabilities included on our attack surface. Through our approach, we look to optimize effort for the security community in finding, fixing and preventing security vulnerabilities.
Good error-correcting codes based on very sparse matrices

We report theoretical and empirical properties of Gallager's (1963) low density parity check codes on Gaussian channels. It can be proved that, given an optimal decoder, these codes asymptotically approach the Shannon limit. With a practical 'belief propagation' decoder, performance substantially better than that of standard convolutional and concatenated codes can be achieved; indeed the performance is almost as close to the Shannon limit as that of turbo codes.
DAT by perceived MC interaction on human prefrontal activity and connectivity during emotion processing.

BACKGROUND Maternal care (MC) and dopamine modulate brain activity during emotion processing in inferior frontal gyrus (IFG), striatum and amygdala. Reuptake of dopamine from the synapse is performed by the dopamine transporter (DAT), whose abundance is predicted by variation in its gene (DAT 3'VNTR; 10 > 9-repeat alleles). Here, we investigated the interaction between perceived MC and DAT 3'VNTR genotype on brain activity during processing of aversive facial emotional stimuli. METHODS Sixty-one healthy subjects were genotyped for DAT 3'VNTR and categorized in low and high MC individuals. They underwent functional magnetic resonance imaging while performing a task requiring gender discrimination of facial stimuli with angry, fearful or neutral expressions. RESULTS An interaction between facial expression, DAT genotype and MC was found in left IFG, such that low MC and homozygosity for the 10-repeat allele are associated with greater activity during processing of fearful faces. This greater activity was also inversely correlated with a measure of emotion control as scored with the Big Five Questionnaire. Moreover, MC and DAT genotype described a double dissociation on functional connectivity between IFG and amygdala. CONCLUSION These findings suggest that perceived early parental bonding may interact with DAT 3'VNTR genotype in modulating brain activity during emotionally relevant inputs.
A Comparative Analysis of Collaborative Environmental Management of Natural Resources in Sub-Saharan Africa: A Study of Cameroon and South Africa

In Africa, rural communities thrive on social capital and tend to have a number of commonalities that force them to share natural, physical and social resources. It has been a trend in sub-Saharan Africa to have either formal or informal collaborative management agreements to manage common pool resources (CPRs) to accommodate different actors and interests. This paper draws lessons from past and contemporary collaborative schemes in Cameroon and South Africa to enhance the practice and governance processes of natural resources in sub-Saharan Africa in order to promote sustainable development. Using research methods inspired by the tradition of participatory research to collect field-based data and complemented by reflections on previous and existing studies, the paper highlights the importance and benefits of participatory democracy as opposed to representational democracy in co-management of natural resources in rural spaces. It further discusses the need to redefine the roles of national and local governments, the youths and women in ensuring effective participation and the essence of unifying the judicial and culture. To guarantee sustainability of collaborative community-based natural resources, the paper emphasises the role and importance of youth and women empowerment. These issues have been discussed within the broader sustainability discourse.