Miracle-dz/UniFAR-FTUs huggingface dataset:
Y-Box-Binding Protein 1 Interacts with Hepatitis C Virus NS3/4A and Influences the Equilibrium between Viral RNA Replication and Infectious Particle Production

ABSTRACT The hepatitis C virus (HCV) NS3/4A protein has several essential roles in the virus life cycle, most probably through dynamic interactions with host factors. To discover cellular cofactors that are co-opted by HCV for its replication, we elucidated the NS3/4A interactome using mass spectrometry and identified Y-box-binding protein 1 (YB-1) as an interacting partner of NS3/4A protein and HCV genomic RNA. Importantly, silencing YB-1 expression decreased viral RNA replication and severely impaired the propagation of the infectious HCV molecular clone JFH-1. Immunofluorescence studies further revealed a drastic HCV-dependent redistribution of YB-1 to the surface of the lipid droplets, an important organelle for HCV assembly. Core and NS3 protein-dependent polyprotein maturation were shown to be required for YB-1 relocalization. Unexpectedly, YB-1 knockdown cells showed the increased production of viral infectious particles while HCV RNA replication was impaired. Our data support that HCV hijacks YB-1-containing ribonucleoparticles and that YB-1–NS3/4A–HCV RNA complexes regulate the equilibrium between HCV RNA replication and viral particle production.
Energy-based control for hybrid port-controlled Hamiltonian systems

In this paper we develop an energy-based hybrid control framework for hybrid port-controlled Hamiltonian systems. In particular, we obtain constructive sufficient conditions for hybrid feedback stabilization that provide a shaped energy function for the closed-loop system while preserving a hybrid Hamiltonian structure at the closed-loop level. Furthermore, an inverse optimal hybrid feedback control framework is developed that characterizes a class of globally stabilizing energy-based controllers that guarantee hybrid sector and gain margins to multiplicative input uncertainty of hybrid Hamiltonian systems.
Labour Market Intelligence for Supporting Decision Making

Over the past decade, a growing number of employers has been using the Web for advertising job opportunities through Web job vacancies, that usually specify a job position, along with a set of skills a candidate should possess. Reasoning with these Web job advertisements can eﬀectively support the decision marking processes of several labour market stakeholders, including public organisations, educational and employment agencies, and analysts as well. Here, Labour Market Intelligence refers to the design and deﬁnition of automated methodologies and tools for supporting real-time labour market monitoring at a very ﬁne-grained level. This, in turn, represents a competitive advantage to labour market stakeholders with respect to classical survey-based analyses, as they are quite expensive and may require up to one year before being available. In this paper we discuss how Web job vacancies have been collected from selected websites, processed, and classiﬁed over a standard taxonomy through machine learning algorithms, extracting the most relevant skills from raw texts. Then, we show how our approach has been applied to some real-life studies and we discuss the beneﬁts provided to end users.
Organization and Management of Mass Multi-Source Spatial Data

Organization and Management of mass multi-source spatial data are core functions of digital earth software which contribute directly to the availability and efficiency of the software itself. A novel organization and index method which combines the UTM latitude-longitude grids index and the dynamic level of detail model to organize data logically and use the "polymerization file" to store data physically for massive spatial data is presented in this paper. The architecture, physical deployment, network protocols and load dispatching of mass multi-source spatial data are discussed in detail.
Exact algorithms for multi-objective integer non-linear programming by cutting solution space

Multi-objective integer non-linear programming (MINP) problems are ubiquitous in real life, however, only the ε-constraint method can be used to solve MINP problems. To improve the computation time of the ε-constraint method, we propose improved exact algorithms to obtain all the Pareto-optimal solutions for MINP. Our contribution is to cut most non-Pareto-optimal solutions by several specific Pareto-optimal solutions before performing ε-constraint method. Thus, the computation time can be significantly saved. The performance of these exact algorithms are evaluated by the general instances of the multi-objective assignment problem. The computational results show that the performance of the proposed exact algorithms are better than the ε-constraint method.
Differences in chemical components and antioxidant-related substances in virgin coconut oil from coconut hybrids and their parents.

Chumphon Horticultural Research Centre (CHRC) is Thailand’s main coconut research unit. CHRC has developed three coconut cultivars: Sawi Hybrid No. 1 (Malayan Yellow Dwarf x West African Tall: MYD x WAT), Chumphon Hybrid No. 60 (Thai Tall: THT x WAT) and Chumphon Hybrid No. 2 (MYD x THT). This study compared some chemical components in virgin coconut oil (VCO) from coconut hybrids with their parents. The VCO was extracted by cold pressing and fermentation methods, and was analyzed for fatty acid profiles, triacylglycerol profile, acid value, tocopherol content, total phenolic content, and antioxidant activity against DPPH (1,1-diphenyl-2-picrylhydrazyl) radicals. The findings showed that hybrids contained lauric acid ranging from 46.63 to 48.34% of total fatty acid. Chumphon 60 had the highest lauric acid content, 48.34% of total fatty acids, which was not significantly different (p > 0.05) from that of the parents. In contrast, the cultivars from MYD, Sawi 1 and Chumphon 2, had significantly greater lauric acid content than the parent MYD (p ≤ 0.05). Cold pressing and fermentation provided an oil extraction yield of 25 and 20%, respectively. The proportions of lauric acid in VCO from these two methods were not significantly different (p > 0.05), but the cold pressing method resulted in higher tocopherol content (p ≤ 0.05). The VCO of Chumphon 60 from the cold pressed method had tocopherol content close to that of the parent WAT (p > 0.05) but significantly higher than that of the other parent THT (p ≤ 0.05). In addition, it contained the highest total phenolic contents among the three cultivars, 57.89 mg GAE/100 g oil, leading to antioxidant activity with a low EC50 of 0.53 mg GAE/ml. Overall, the hybrid of WAT x THT, Chumphon 60, was outstanding among the cultivars; it had the highest levels of lauric acid, total phenolic compounds, and antioxidant activity.
Long-Term Impact of a District-Wide School/Community-Based Substance Abuse Prevention Initiative on Gateway Drug Use

This study examined long-term effects of a school/family/community substance abuse prevention partnership intervention lead by a Midwestern school district. Previous findings suggested that the program contributed to decreased tobacco and marijuana, but not alcohol, use prior to and after implementation between 1987 and 1991. The current study examined 8th-12th grade student drug use prevalence data from 1991 and 2003 to determine whether previous program effects were sustained. With one exception, reported lifetime and monthly cigarette use decreased below 1991 levels for all grades. Lifetime and monthly alcohol use decreased below 1991 levels for most grades, a result not previously detected. While still below national rates, reported lifetime use of marijuana increased for all grades over time. The intervention was effective in reducing cigarette and alcohol use over time and in suppressing marijuana use levels below national rates; however, these gains tended to erode in later high school grades.
Improved timing recovery loop in laser communication

Timing recovery is one of the key technologies of space laser communication and measurement. Its accuracy directly affects the performance of the whole system. Timing recovery loop based on Gardner timing error detect algorithm is easy to be interfered by timing jitter. This paper proposes an improved timing recovery loop. Simulation results show that the improved timing recovery loop can effectively reduce the timing jitter to improve the tracking precision and have faster acquisition establish time.
Contribution of Paretic and Nonparetic Limb Peak Propulsive Forces to Changes in Walking Speed in Individuals Poststroke

Background. Recent rehabilitation efforts after stroke often focus on increasing walking speed because it is associated with quality of life. For individuals poststroke, propulsive force generated from the paretic limb has been shown to be correlated to walking speed. However, little is known about the relative contribution of the paretic versus the nonparetic propulsive forces to changes in walking speed. Objective. The primary purpose of this study was to determine the contribution of propulsive force generated from each limb to changes in walking speed during speed modulation within a session and as a result of a 12-week training program. Methods. Gait analysis was performed as participants (N = 38) with chronic poststroke hemiparesis walked at their self-selected and faster walking speeds on a treadmill before and after a 12-week gait retraining program. Results. Prior to training, stroke survivors increased nonparetic propulsive forces as the primary mechanism to change walking speed during speed modulation within a session. Following gait training, the paretic limb played a larger role during speed modulation within a session. In addition, the increases in paretic propulsive forces observed following gait training contributed to the increases in the self-selected walking speeds seen following training. Conclusions. Gait retraining in the chronic phase of stroke recovery facilitates paretic limb neuromotor recovery and reduces the reliance on the nonparetic limb’s generation of propulsive force to increase walking speed. These findings support gait rehabilitation efforts directed toward improving the paretic limb’s ability to generate propulsive force.
Efficient Iterative Detection Technique in Wireless Communication System

— Recently, among the MIMO-OFDM detection techniques, a lot of papers suggested V-BLAST scheme which can achieve high data rate. Therefore, the signal detection of MIMO-OFDM system is important issue. In this paper, efficient iterative V-BLAST detection technique is proposed in wireless communication system. The proposed scheme adjusts the number of candidate symbol and iterative scheme based on channel state. According to the simulation result, the proposed scheme has better BER performance than conventional schemes and similar BER performance of the QRD-M with iterative scheme. Moreover complexity of proposed scheme has 50.6% less than complexity of QRD-M detection with iterative scheme. Therefore the proposed detection scheme can be efficiently used in wireless communication.
Distance Measurement With Inductive Coils

Distance measurement is an important tool in several applications. This article describes the development of a resonant inductive sensor for short (few centimeters) distance measurement. The sensor uses the principle of inductive coupling, where a transmitter coil (TX) induces a voltage in receiver coil (RX). The distance between TX and RX coils is determined as a function of the amplitude of the induced signal. Both coils are controlled by processing circuits and a microcomputer performs information processing and stores the measured data. In a setup for distances between 100-240 mm, experimental results showed a maximum standard deviation (σ) of 2.56 mm at 235 mm.
Age-related reduced prefrontal-amygdala structural connectivity is associated with lower trait anxiety.

OBJECTIVE A current neuroanatomical model of anxiety posits that greater structural connectivity between the amygdala and ventral prefrontal cortex (vPFC) facilitates regulatory control over the amygdala and helps reduce anxiety. However, some neuroimaging studies have reported contradictory findings, demonstrating a positive rather than negative association between trait anxiety and amygdala-vPFC white matter integrity. To help reconcile these findings, we tested the regulatory hypothesis of anxiety circuitry using aging as a model of white matter decline in the amygdala-vPFC pathway. METHODS We used probabilistic tractography to trace connections between the amygdala and vPFC in 21 younger, 18 middle-aged, and 15 healthy older adults. The resulting tract estimates were used to extract 3 indices of white-matter integrity: fractional anisotropy (FA), radial diffusivity (RD), and axial diffusivity (AD). The relationship between these amygdala-vPFC structural connectivity measures and age and State-Trait Anxiety Inventory (STAI) scores were assessed. RESULTS The tractography results revealed age-related decline in the FA (p = .005) and radial diffusivity (p = .002) of the amygdala-vPFC pathway. Contrary to the regulatory hypothesis, we found a positive rather than negative association between trait anxiety and right amygdala-vPFC FA (p = .01). CONCLUSION These findings argue against the notion that greater amygdala-vPFC structural integrity facilitates better anxiety outcomes in healthy adults. Instead, our results suggest that white matter degeneration in this network relates to lower anxiety in older adults.
Micronization of Poorly Water-Soluble Trichlorocarbanilide Using Supercritical Carbon Dioxide

Trichlorocarbanilide has widely been used in cosmetics and household products, but the extremely low solubility of trichlorocarbanilide in water constrains the development of water-based products. In order to enhance the bioavailability, trichlorocarbanilide were micronized using supercritical fluid. Supercritical carbon dioxide was selected due to relatively low critical temperature and the rapid expansion of supercritical solution (RESS) process was chosen because trichlorocarbanilide was soluble in supercritical carbon dioxide. The effects of temperature and pressure on particle size were investigated using phase behavior data and correlated results from the quasichemical nonrandom lattice fluid model.
Hierarchical Recognition : Taxonomy of Animals

To recognize and animals from a visual image, we propose a hierarchical classification by a taxonomy tree. Trainings is done in bottom-up while recognition goes in topdown along the tree. An image of the species is autonomously assigned its view and trained sequentially at each level of the tree by joint boosting. We can efficiently find a highlevel classifier based on low-level ones and this cascading classification allows a high rejection ratio of false alarms . The experimental results of ten sample species are shown to prov e the efficiency of the algorithm
TRANSIENT NEUTROPENIA OF CHILDHOOD

While neutropenia (ANC<1500) related to acute infections in children is well known, natural histroy and appropriate management are unclear. Clinical data on 22 children referred for neutropenia over a 13 mo. period were reviewed. Twenty patients were age 3 mos. -3 yrs. and 2 were age 11 yrs. ANC was <500/cmm in 18 patients. All patients were febrile at some point in their illness; the majority (13) had respiratory tract infection. Infectious agents were isolated in 6 patients (S. pneumo. 2, H.flu, 1, E.coli 1, RSV 2). Neutropenia may have been drug-related in 5 patients (carbamazepine 1, chloramphenicol 2, penicillin 1, ampicillin 1). Bone marrow aspiration, performed in 14 patients, was normal in 7; seven patients demonstrated maturation arrest.Recovery from neutropenia was documented in 20 patients; one child has remained neutropenic for 12 months and one was lost to follow-up. Ten recovered within 1 wk. of referral, whereas 10 remained neutropenic from 1 to 6 wks. Time to recovery could not be predicted based on any clinical or laboratory parameters available.These cases of childhood neutropenia appear to have been infection-related and 20/21 patients recovered. Superimposed bacterial infection did not occur even with ANC<500/cmm; empiric treatment with broad spectrum antibiotics was not instituted. Bone marrow evaluation, while useful in excluding infiltrative disorders and aplastic anemia, was not predictive of the rate of recovery.
Cutting Edge: Dual Function of PPARγ in CD11c+ Cells Ensures Immune Tolerance in the Airways

The respiratory tract maintains immune homeostasis despite constant provocation by environmental Ags. Failure to induce tolerogenic responses to allergens incites allergic inflammation. Despite the understanding that APCs have a crucial role in maintaining immune tolerance, the underlying mechanisms are poorly understood. Using mice with a conditional deletion of peroxisome proliferator-activated receptor γ (PPARγ) in CD11c+ cells, we show that PPARγ performs two critical functions in CD11c+ cells to induce tolerance, thereby preserving immune homeostasis. First, PPARγ was crucial for the induction of retinaldehyde dehydrogenase (aldh1a2) selectively in CD103+ dendritic cells, which we recently showed promotes Foxp3 expression in naive CD4+ T cells. Second, in all CD11c+ cells, PPARγ was required to suppress expression of the Th17-skewing cytokines IL-6 and IL-23p19. Also, lack of PPARγ in CD11c+ cells induced p38 MAPK activity, which was recently linked to Th17 development. Thus, PPARγ favors immune tolerance by promoting regulatory T cell generation and blocking Th17 differentiation.
A New Heuristic Based Phishing Detection Ap- proach Utilizing Selenium Web-driver

Phishing is a nontrivial problem involving deceptive emails and webpages that trick unsuspecting users into willingly revealing their confidential information. In this paper, we focus on detecting login phishing pages, pages that contain forms with email and password fields to allow for authorization to personal/restricted content. We present the design, implementation, and evaluation of our phishing detection tool “SeleniumPhishGuard”, a novel heuristic-based approach to detect phishing login pages. First, the finest existing technologies or techniques that have used similar heuristics we will be discussed and evaluated. The methodology introduced in our paper identifies fraudulent websites by submitting incorrect credentials and analyzing the response. We have also proposed a mechanism for analyzing the responses from server against the submissions of all those credentials to determine the legitimacy of a given website. The application was implemented in python programming language by utilizing Selenium web testing library, hence “Selenium” is used in the name of our tool. To test the application, a dataset from Alexa top 500 and Phishtank was collected. All pages with login forms from the Alexa 500 and Phishtank were analyzed. The application works with any authentication technologies which are based on exchange of credentials. Our current prototype is developed for sites supporting both HTTP and HTTPS authentication and accepting email and password pair as login credential. Our algorithm is developed as a separate module which in future can be integrated with browser plug-ins through an API. We also discuss the design and evaluation of several URL analysis techniques we utilized to reduce false positives and improve the overall performance. Our experiments show that SeleniumPhishGuard is excellent at detecting login phishing forms, correctly classifying approximately 96% of login phishing pages.
Grid synchronization techniques for converter interfaced distributed generation systems

This paper briefly reviews the synchronization techniques for single-phase and three-phase converter-interfaced distributed generation (DG) systems. These techniques are compared in terms of their capability in tracking the grid frequency variations in the presence of low order harmonics and unbalance conditions. The techniques introduced in this paper are applicable for a wide range of converter-interfaced DG units, e.g. wind, photovoltaic, and fuel cells, and also in active power filters and uninterrupted power supplies.
Applications of Hybrid EMD with PSO and GA for an SVR-Based Load Forecasting Model

Providing accurate load forecasting plays an important role for effective management operations of a power utility. When considering the superiority of support vector regression (SVR) in terms of non-linear optimization, this paper proposes a novel SVR-based load forecasting model, namely EMD-PSO-GA-SVR, by hybridizing the empirical mode decomposition (EMD) with two evolutionary algorithms, i.e., particle swarm optimization (PSO) and the genetic algorithm (GA). The EMD approach is applied to decompose the load data pattern into sequent elements, with higher and lower frequencies. The PSO, with global optimizing ability, is employed to determine the three parameters of a SVR model with higher frequencies. On the contrary, for lower frequencies, the GA, which is based on evolutionary rules of selection and crossover, is used to select suitable values of the three parameters. Finally, the load data collected from the New York Independent System Operator (NYISO) in the United States of America (USA) and the New South Wales (NSW) in the Australian electricity market are used to construct the proposed model and to compare the performances among different competitive forecasting models. The experimental results demonstrate the superiority of the proposed model that it can provide more accurate forecasting results and the interpretability than others.
Temporal and spectral gamma-ray properties of Mkn 421 above 250 GeV from CAT observations between 1996 and 2000

The -ray emission above 250 GeV from the BL Lac object Markarian 421 was observed by the CAT Cherenkov imaging telescope between December, 1996, and June, 2000. In 1998, the source produced a series of small flares, making it the second extragalactic source detected by CAT. The time-averaged dierential spectrum has been measured from 0: 3t o 5 TeV, which is welltted with ap ower law: dE E 2:880:12 stat 0:06 syst TeV . In 2000, the source showed an unprecedented activity, with variability time-scales as short as one hour, as for instance observed during the night between 4 and 5 February. The 2000 time-averaged spectrum measured is compatible with that of 1998, but some indication of a spectral curvature is found between 0:3 and 5 TeV. The possibility of TeV spectral hardening during flares is also discussed, and the results are compared to those obtained on the other TeV BL Lac, Markarian 501.
Selective Correlations - the conditional estimators

The problem of Voodoo correlations is recognized in neuroimaging as the problem of estimating quantities of interest from the same data that was used to select them as interesting. In statistical terminology, the problem of inference following selection from the same data is that of selective inference. Motivated by the unwelcome side-effects of the recommended remedy- splitting the data. A method for constructing confidence intervals based on the correct post-selection distribution of the observations has been suggested recently. We utilize a similar approach in order to provide point estimates that account for a large part of the selection bias. We show via extensive simulations that the proposed estimator has favorable properties, namely, that it is likely to reduce estimation bias and the mean squared error compared to the direct estimator without sacrificing power to detect non-zero correlation as in the case of the data splitting approach. We show that both point estimates and confidence intervals are needed in order to get a full assessment of the uncertainty in the point estimates as both are integrated into the Confidence Calibration Plots proposed recently. The computation of the estimators is implemented in an accompanying software package.