Miracle-dz/UniFAR-FTUs huggingface dataset:
R Aquarii: Constraints on the Rotational Period of the Long-Period Variable

We report Very Large Array (VLA) observations taken in 1996 November and 1998 May of the v = 1, J = 1-0, SiO maser line and BIMA array observations taken in 1999 December and 2000 February of the v = 1, J = 2-1, SiO maser line associated with the long-period variable (LPV) in the R Aquarii binary system that suggest rotation of the maser shell. From these interferometric data cubes, we determine that the maser shell rotation axis is approximately northeast-southwest, thus aligning approximately with the direction of the R Aqr jet; the sense of the maser shell rotation is such that northwest is approaching and southeast is receding; the period of rotation is ~17 yr. Alternatively, co-adding 72 time series spectra of the v = 1, J = 1-0, SiO maser line obtained during the period 1984 July-1990 May with a single-dish antenna, we constructed a composite spectral emission envelope that shows the LSR velocity limits of maser emission over this epoch. From this composite spectral emission envelope and Very Long Baseline Array observations in 1996 February of the v = 1, J = 1-0, SiO maser line, which show the maximal spatial extent of the maser shell, we obtain a shell rotation period of ~18 yr, which is in excellent agreement with the VLA and BIMA array results and represents the maximum rotation period of the LPV if corotating with the maser shell. On the other hand, we obtain a minimum rotation period for the LPV of ~5 yr if the LPV supplies material to the maser shell under the constraint of conservation of angular momentum. The ~5-18 yr range for the rotational period of the LPV determined here and the ~18 yr rotational period for the hot companion determined by previous investigators suggest that tidal effects at successive periastron passages in the R Aqr binary system are tending to synchronize these stellar rotational periods to the orbital period of ~44 yr.
Immune Modulatory Treatment of Trinitrobenzene Sulfonic Acid Colitis with Calcitriol Is Associated with a Change of a T Helper (Th) 1/Th17 to a Th2 and Regulatory T Cell Profile

A number of recent studies testify that calcitriol alone or in combination with corticosteroids exerts strong immune modulatory activity. As a new approach, we evaluated the protolerogenic potential of calcitriol and dexamethasone in acute T helper (Th)1-mediated colitis in mice. A rectal enema of trinitrobenzene sulfonic acid (TNBS) (100 mg/kg) was applied to BALB/c mice. Calcitriol and/or dexamethasone were administered i.p. from days 0 to 3 or 3 to 5 following the instillation of the haptenating agent. Assessment of colitis severity was performed daily. Colon tissue was analyzed macroscopically and microscopically, and myeloperoxidase activity, as well as cytokine levels [tumor necrosis factor-α, interferon-γ, interleukin (IL)-12p70, IL-1β, IL-10, IL-4] were determined by enzyme-linked immunosorbent assay, T-bet, GATA family of transcription factors 3, a Th2 master regulator (GATA3), Foxp3, cytotoxic T-lymphocyte-associated antigen 4 (CTLA4), IL-23p19 and IL-17 expression by immunoblot analysis. The combination of the steroids most effectively reduced the clinical and histopathologic severity of TNBS colitis. Th1-related parameters were down-regulated, whereas Th2 markers like IL-4 and GATA3 were up-regulated. Apart from known steroid effects, calcitriol in particular promoted regulatory T cell profiles as indicated by a marked increase of IL-10, TGFβ, FoxP3, and CTLA4. Furthermore, analysis of dendritic cell mediators responsible for a proinflammatory differentiation of T cells revealed a significant reduction of IL-12p70 and IL23p19 as well as IL-6 and IL-17. Thus, our data support a rationale for a steroid-sparing, clinical application of calcitriol derivatives in inflammatory bowel disease. Furthermore they suggest that early markers of inflammatory dendritic cell and Th17 differentiation qualify as new target molecules for both calcitriol and highly selective immune-modulating vitamin D analogs.
Dynamos with different formulations of a dynamic α – effect

We investigate the behaviour of αΩ dynamos with a dynamic α, whose evolution is governed by the imbalance between a driving and a damping term. We focus on truncated versions of such dynamo models which are often studied in connection with solar and stellar variability. Given the approximate nature of such models, it is important to study how robust they are with respect to reasonable changes in the formulation of the driving and damping terms. For each case, we also study the effects of changes of the dynamo number and its sign, the truncation order and initial conditions. Our results show that changes in the formulation of the driving term have important consequences for the dynamical behaviour of such systems, with the detailed nature of these effects depending crucially on the form of the driving term assumed, the value and the sign of the dynamo number and the initial conditions. On the other hand, the change in the damping term considered here seems to produce little qualitative effect.
Distributed Detection and Optimal Tra-c-blocking of Network Worms

Despite the recent surge of research in control of worm propagation, currently, there is no effective defense system against such cyber attacks. We first design a distributed detection architecture called Detection via Distributed Blackholes (DDBH). Our novel detection mechanism could be implemented via virtual honeypots or honeynets. Simulation results show that a worm can be detected with virtual honeypots on only 3% of the nodes. Moreover, the worm is detected when less than 1.5% of the nodes are infected. We then develop two control strategies: (1) optimal dynamic trafficblocking, for which we determine the condition that guarantees minimum number of removed nodes when the worm is contained and (2) predictive dynamic traffic-blocking—a realistic deployment of the optimal strategy on scale-free graphs. The predictive dynamic traffic-blocking, coupled with the DDBH, ensures that more than 40% of the network is unaffected by the propagation at the time when the worm is contained. Keywords—Network worms, distributed detection, optimal traffic-blocking, individual-based simulation.
Raising the Performance of Nakagami Multipath Fading channel with multiuser diversity in reliable wireless medium

Today's society demands fast and reliable wireless communication, and the wireless spectrum grows more and more crowded as a consequence of more spectrally efficient transmission schemes can relieve the pressure on the bandwidth resources. In this proposed system, we propose a new framework for generating the correlated MIMO Nakagami Multipath Fading (NMF) channels which possess arbitrary and different m for each sub channel. An advantage of the Nakagami over the Rayleigh and Rice model is the relatively an expression for the Probability Density Function (PDF) and received CSNR (channel signal-to-noise ratio). The diversity is produced by the depolarization of the transmitted signal by reflection, diffraction, and scattering in the channel of NMF. In this proposed work, Maximal Ratio combining (MRC) diversity is used to producing an output with an acceptable SNR and best statistical reducing of multipath fading effect. The result of this proposed system, NMF and MRC diversity methods are combined to, a novel simple and high efficient generation method is developed to scrutinize an excellent accuracy in wireless media, for simulating processes in Matlab.
The Relationship between IT Consumption and Stress in Pakistani Youth

Information technology is surprisingly influenced our daily routines; but side by side it also generate many questions on the health issues. Inconsistent and uneven IT utilization is very significantly related to many psychological problems including the issues of stress as well. Though in Pakistani culture concerns related to IT were not counted into serious considerations, the following study was aimed to investigate the association between IT consumption and stress among the Pakistani youth. 200 participants age ranged between16-24 has been conveniently selected from 4 different cities of Pakistan. A demographic information questionnaire and Depression Anxiety Stress Scale (Lovibond & Lovibond, 1995) was used for data collection. Hypothesis of the study was that high use of IT will lead to higher stress level in Pakistani youth. The results of the study also support the hypothesis significantly and previous literature also incorporates with the existing results.
Employment E ¤ ects of Trade and Technical Change : Evidence from Norway ¤

In this paper we examine trade and technology explanations for the change in plant level skill composition by exploiting matched worker/plant level data from Norway. We use direct evidence on job creation and destruction for workers with high, medium and low education levels. Our data allows us to focus on two hypotheses that are new to the empirical trade/technology literature. First, we analyse whether the change in skill composition is taking place for all plants in each sector, or whether reallocation of jobs and workers are between establishments leading to greater dispersion of skills across establishments. We also relate the changes in skill composition to a plant-speci.c measure of technological change the vintage of machine capital and trade exposure. Secondly, the linked employer-employee data set enables us to test whether it is along the gross creation or the gross destruction margin that the impact from trade and technology is found for di¤erent education categories of workers. The analysis shows that the changes are taking place through a reallocation of labour resources from some plants to other plants within sectors. The econometric analysis specifying plant-level dynamic demand functions for job and worker ‡ows supports skill-biased technological change via a positive gross job creation e¤ect. As opposed to most studies in the literature we also . nd a strong impact from trade in that lowand medium-educated workers are being displaced from sectors hit by increased competiton from abroad, while highly educated workers are basically insulated from negative trade e¤ects.
A flexible architecture for DSP applications combining high performance arithmetic with small scale configurability

This paper presents the architecture of a flexible and high performance unit for DSP applications. The proposed architecture operates based on fast Carry-Save (CS) arithmetic. A mapping methodology, for datapaths composed with the proposed flexible units, is also presented. It exploits the incorporated features of the proposed units and enables fast computations, high operation densities and advanced data reusability. Experimental results shown that several DSP algorithms can be mapped onto the proposed architecture with high efficiency delivering in average, latency gains of 36.56% and 45.76% compared to the MAC and the primitive resources based datapaths, respectively.
Person re-identification using multiple first-person-views on wearable devices

The rise of wearable devices has led to many new ways of re-identifying an individual. Unlike static cameras, where the views are often restricted or zoomed out and occlusions are common scenarios, first-person-views (FPVs) or ego-centric views see people closely and mostly get un-occluded face images. In this paper, we propose a face re-identification framework designed for a network of multiple wearable devices. This framework utilizes a global data association method termed as Network Consistent Reidentification (NCR) that not only helps in maintaining consistency in association results across the network, but also improves the pair-wise face re-identification accuracy. To test the proposed pipeline, we collected a database of FPV videos of 72 persons using multiple wearable devices (such as Google Glasses) in a multi-storied office environment. Experimental results indicate that NCR is able to consistently achieve large performance gains when compared to the state-of-the-art methodologies.
Low-complexity SNR-based channel pairing in multichannel MABC-based two-way relaying

We consider two-way amplify-and-forward relaying in a multichannel system with two end users and a single relay. A two-slot multi-access broadcast (MABC) relaying strategy is considered. For given power allocation, we investigate into the problem of subchannel pairing at the relay to maximize the achievable sum rate in the network. Unlike in the oneway relaying case, our result shows that there exists no explicit SNR-based subchannel pairing strategy that is optimal for sum-rate maximization for two-way relaying. Nonetheless, we propose a low-complexity SNR-based suboptimal pairing scheme, SNReff-Greedy algorithm, using an effective SNR as the metric for pairing. For N subchannels, the proposed scheme has O(N2 log N) complexity, as opposed to O(N3) complexity in obtaining the optimal solution. Simulations demonstrate the effectiveness of the proposed scheme in performance as compared to the optimal pairing and other suboptimal schemes.
On the use of spectro-temporal features for the IEEE AASP challenge ‘detection and classification of acoustic scenes and events’

In this contribution, an acoustic event detection system based on spectro-temporal features and a two-layer hidden Markov model as back-end is proposed within the framework of the IEEE AASP challenge `Detection and Classification of Acoustic Scenes and Events' (D-CASE). Noise reduction based on the log-spectral amplitude estimator by [1] and noise power density estimation by [2] is used for signal enhancement. Performance based on three different kinds of features is compared, i.e. for amplitude modulation spectrogram, Gabor filterbank-features and conventional Mel-frequency cepstral coefficients (MFCCs), all of them known from automatic speech recognition (ASR). The evaluation is based on the office live recordings provided within the D-CASE challenge. The influence of the signal enhancement is investigated and the increase in recognition rate by the proposed features in comparison to MFCC-features is shown. It is demonstrated that the proposed spectro-temporal features achieve a better recognition accuracy than MFCCs.
Neurobiology of addiction: neuroanatomical, neurochemical, molecular and genetic aspects of morphine and cocaine addiction. Part III

La adiccion a las drogas de abuso ilegal se considera hoy en dia como un trastorno neuropsiquiatrico que repercute ampliamente en la salud del individuo y en el bienestar de la sociedad. Desde hace mas de dos decadas, diversos estudios de investigacion en el campo de la neurofarmacologia y la neuroquimica han demostrado que la mayoria de las drogas de abuso actuan alterando diferentes sistemas de neurotransmision, que modifican permanentemente las funciones quimicas y moleculares de las neuronas que operan en estos sistemas. Si bien se ha demostrado en animales modelos de auto-administracion de drogas psicoadictivas, que el sustrato neuroanatomico implicado directamente en el inicio, desarrollo y consolidacion del fenomeno adictivo para la gran mayoria de las drogas de abuso (v.g., psicoestimulantes y alcaloides opiaceos) es el sistema dopaminergico mesocorticolimbico; hay ademas otros sistemas de neurotransmision que tambien parecen ser modificados funcionalmente durante el consumo cronico y reiterado de las drogas con perfil psicoadictivo (v.g., etanol, nicotina) como son, el sistema de transmision GABAergico (GABA), el sistema de transmision opioide endogeno y otros sistemas de transmision de naturaleza peptidica, recientemente descritos, que en conjunto modulan en forma directa o indirecta la fisiologia neuronal del sistema de proyeccion dopaminergico mesocorticolimbico. Por lo tanto, los cambios neuroadaptativos que ocurren a largo plazo en los diferentes sistemas de neurotransmision que operan durante el desarrollo y el establecimiento del fenomeno neurobiologico que esta reflejado en su totalidad por los cambios neuroquimicos y moleculares que se establecen en los sistemas de neurotransmision y, por ende, en las propias neuronas que operan en estos circuitos neurofuncionales.
Fast distributed algorithms for Brooks-Vizing colourings

Let G be a Δ-regular graph with n vertices and girth at least 4 such that Δ » log n. We give very simple, randomized, distributed algorithms for vertex coloring G with Δ/k colors in O(k + log n) communication rounds, where k = O(log Δ). The algorithm may fail or exceed the above running time, but the probability that this happens is o(1), a quantity that goes to zero as n grows. The probabilistic analysis relies on a powerful generalization of Azuma's martingale inequality that we dub the Method of Bounded Variances.
Horizontal convection is non-turbulent

Consider the problem of horizontal convection: a Boussinesq fluid, forced by applying a non-uniform temperature at its top surface, with all other boundaries insulating. We prove that if the viscosity, ν, and thermal diffusivity, κ, are lowered to zero, with σ ≡ ν/κ fixed, then the energy dissipation per unit mass, κ, also vanishes in this limit. Numerical solutions of the two-dimensional case show that despite this anti-turbulence theorem, horizontal convection exhibits a transition to eddying flow, provided that the Rayleigh number is sufficiently high, or the Prandtl number σ sufficiently small. We speculate that horizontal convection is an example of a flow with a large number of active modes which is nonetheless not ‘truly turbulent’ because ε→0 in the inviscid limit.
Add Semantic Role to Dependency Structure Language Model for Topic Detection and Tracking

In this paper, an idea of adding semantic role to the dependency structure language model is proposed. Firstly, the dependency structure language model for topic detection and tracking is presented. Then we introduce the method to determine the semantic role for the constituents of a sentence. Finally, we add the semantic role to the dependency structure language model Compare the verbs of the sentences in the stories with a list of verbs related with the verb of the topic. Then, annotate the verbs with semantic roles. This can enable us establish a relation between topics and semantic roles. So, only stories whose sentences containing the right semantic roles are selected. We propose using this semantic information as an extension of the dependency structure language model in order to reduce the number of stories retrieved by the system, and get a high precision in topic detection and tracking.
Objetos de aprendizagem e lousas digitais interativas: uma proposta de avaliação de objetos de aprendizagem para ensino de matemática

The current conditions of the classroom learning tend to be a one-way process based in teacher exposition, this make a negative impact on learning make it a mechanical and not meaningful activity. One possibility to improve the quality of teaching is to innovate methodologies and varying forms of presenting information to students, such as the use of technology in the teaching process. The Interactive Whiteboard (IBW) is one of the technologies that are being implemented in Brazilian schools. One of the promising possibilities to add value to the use of LDI in classroom are "learning objects" (LO). However, one problem is that often the LO are not fully suited to the dynamics of IWB, whether functional or pedagogical point of view. The objective of this study is to analyze and propose a set of indicators that evaluate the learning objects for use in conjunction with Interactive Whiteboards. The selection and definition of evaluation indicators was carried from the literature review on the subject and based on LDI experiences of use in Municipal Elementary School. After defining the set of indicators was conducted a evaluation of a sample of 30 OA utilized to teaching mathematics in 3rd grade of elementary school. The results of the evaluation indicate that the proposed indicators are suitable for a pre-analysis of OA and assisting in the process of selection of these.
Colorectal Cancer Screening Based on Age and Gender

AbstractWe evaluated whether age- and gender-based colorectal cancer screening is cost-effective.Recent studies in the United States identified age and gender as 2 important variables predicting advanced proximal neoplasia, and that women aged <60 to 70 years were more suited for sigmoidoscopy screening due to their low risk of proximal neoplasia. Yet, quantitative assessment of the incremental benefits, risks, and cost remains to be performed.Primary care screening practice (2008–2015). A Markov modeling was constructed using data from a screening cohort. The following strategies were compared according to the Incremental Cost Effectiveness Ratio (ICER) for 1 life-year saved: flexible sigmoidoscopy (FS) 5 yearly; colonoscopy 10 yearly; FS for each woman at 50- and 55-year old followed by colonoscopy at 60- and 70-year old; FS for each woman at 50-, 55-, 60-, and 65-year old followed by colonoscopy at 70-year old; FS for each woman at 50-, 55-, 60-, 65-, and 70-year old. All male subjects received colonoscopy at 50-, 60-, and 70-year old under strategies 3 to 5.From a hypothetical population of 100,000 asymptomatic subjects, strategy 2 could save the largest number of life-years (4226 vs 2268 to 3841 by other strategies). When compared with no screening, strategy 5 had the lowest ICER (US$42,515), followed by strategy 3 (US$43,517), strategy 2 (US$43,739), strategy 4 (US$47,710), and strategy 1 (US$56,510). Strategy 2 leads to the highest number of bleeding and perforations, and required a prohibitive number of colonoscopy procedures. Strategy 5 remains the most cost-effective when assessed with a wide range of deterministic sensitivity analyses around the base case.From the cost effectiveness analysis, FS for women and colonoscopy for men represent an economically favorable screening strategy. These findings could inform physicians and policy-makers in triaging eligible subjects for risk-based screening, especially in countries with limited colonoscopic resources. Future research should study the acceptability, feasibility, and feasibility of this risk-based strategy in different populations.
Recognizing human actions from still images with latent poses

We consider the problem of recognizing human actions from still images. We propose a novel approach that treats the pose of the person in the image as latent variables that will help with recognition. Different from other work that learns separate systems for pose estimation and action recognition, then combines them in an ad-hoc fashion, our system is trained in an integrated fashion that jointly considers poses and actions. Our learning objective is designed to directly exploit the pose information for action recognition. Our experimental results demonstrate that by inferring the latent poses, we can improve the final action recognition results.
Reply to Garcia et al.: Common mistakes in measuring frequency-dependent word characteristics

The concerns expressed by Garcia et al. (1) are misplaced due to a range of misconceptions about word usage frequency, word rank, and expert-constructed word lists such as LIWC (Linguist Inquiry and Word Count) (2). We provide a complete response in our paper's online appendices (3). Garcia et al. (1) suggest that the set of function words in the LIWC dataset (2) show a wide spectrum of average happiness with positive skew (figure 1A in ref. 1) when, according to their interpretation, these words should exhibit a Dirac δ function located at neutral (havg = 5 on a 1–9 scale). However, many words tagged as function words in the LIWC dataset readily elicit an emotional response in raters as exemplified by “greatest” (havg = 7.26), “best” (havg = 7.26), “negative” (havg = 2.42), and “worst” (havg = 2.10). In our study (3), basic function words that are expected to be neutral, such as “the” (havg = 4.98) and “to” (havg = 4.98), were appropriately scored as such. Moreover, no meaningful statement about biases can be made for sets of words chosen without frequency of use properly incorporated.