Miracle-dz/UniFAR-FTUs huggingface dataset:
Evaluation of extended CP and ultra-extended CP in MBSFN

Long Term Evolution (LTE) holds the promise to enhance the capacity and speed of mobile communication by supporting Multimedia Broadcast/Multicast Services (MBMS) over a single frequency network (MBSFN), where numerous cells transmit an identical waveform that is synchronized in time for a specific time interval. For improving the performance of SFN, ultra-extended cyclic prefix duration has been considered in this paper to account for the larger delay spread especially in rural and hilly areas. The performance of the network for both extended and ultra-extended CP has been compared in terms of an important parameter called the spectral efficiency. The suitable cell radius for optimum performance has also been investigated and the achieved simulated results justifies the need to opt for ultra-extended CP at the cost of reduced OFDM symbols per slot.
Life History Trade-Offs Between Longevity and Immunity in the Parasitic Brown-Headed Cowbird?

Life history theory predicts evolutionary trade-offs between investing in immune defense and other traits. We investigated whether reduced longevity was associated with increased investment in immunity in an avian brood parasite, the brown-headed cowbird (Molothrus ater). Previously we had found that the brown-headed cowbird was unusually re- sistant to infection with West Nile virus and other pathogenic arboviruses when compared with three closely related spe- cies in the same Family, Icteridae, the New World blackbirds. In this study, we hypothesized that the cowbird's more ef- fective immune responses may be associated with a trade-off in somatic maintenance that results in a shorter lifespan. We measured lifespan using the North American bird banding database and compared the lifespan of the cowbird with the lifespan of red-winged blackbird (Agelaius phoeniceus) and Brewer's blackbird (Euphagus cyanocephalus), two related species whose immune defenses were previously found less effective against West Nile virus. The cowbird lifespan was significantly shorter than those of both the red-winged blackbird and Brewer's blackbird. We also found that both male and female cowbirds had a shorter lifespan than the males and females in the two non-parasitic blackbird species. These data suggest that the brown-headed cowbird is a good study species for examining the trade-offs between immunity and longevity.
Injectivity of differentiable maps R^2 --> R^2 at infinity

The main result given in Theorem~1.1 is a condition for a map $X$, defined on the complement of a disk $D$ in R^2 with values in R^2, to be extended to a topological embedding of R^2, not necessarily surjective. The map $X$ is supposed to be just differentiable with the condition that, for some $e>0,$ at each point the eigenvalues of the differential do not belong to the real interval $(-e,\infty). $ The extension is obtained by restricting X to the complement of some larger disc. The result has important connections with the property of asymptotic stability at infinity for differentiable vector fields.
Financial Modeling in a Fast Mean-Reverting

We present a derivative pricing and estimation methodology for a class of stochastic volatility models that exploits the observed "bursty" or persistent nature of stock price volatility. Empirical analysis of high-frequency S&P 500 index data connrms that volatility reverts slowly to its mean in comparison to the tick-by-tick uctuations of the index value, but it is fast mean-reverting when looked at over the time scale of a derivative contract (many months). This motivates an asymptotic analysis of the partial diierential equation satissed by derivative prices, utilizing the distinction between these time scales. The analysis yields pricing and implied volatility formulas, and the latter provides a simple procedure to ""t the skew" from European index option prices. The theory identiies the important group parameters that are needed for the derivative pricing and hedging problem for European-style securities, namely the average volatility and the slope and intercept of the implied volatility line, plotted as a function of the log-moneyness-to-maturity-ratio. The results considerably simplify the estimation procedure. The remaining parameters, including the growth rate of the underlying, the correlation between asset price and volatility shocks, the rate of mean-reversion of the volatility and the market price of volatility risk are not needed for the asymptotic pricing formulas for European derivatives, and we derive the formula for a knockout barrier option as an example. The extension to American and path-dependent contingent claims is the subject of future work.
Harmonic Analysis of 230 V AC Power Supply Using LPC2138 Microcontroller

The presence of harmonics in power system is a major concern to power engineers for many years. With the increasing usage of nonlinear loads in power systems, the harmonic pollution becomes more serious. One of the widely used computation algorithm for harmonic analysis is Fast Fourier Transform (FFT). In this project, a harmonic analyzer using FFT is being implemented on ARM7 core processor LPC2138 [1]. The supply voltage of 230V, 50 Hz is stepped down to 6V using a voltage divider in order to match the power rating of the processor input. The output from the processor is displayed on a graphic LCD, which is interfaced to the output ports of the processor.
A comprehensive study of texture analysis based on local binary patterns

One of the main goals of texture analysis is to provide a robust mathematical description of the spatial behavior of intensity values in any given neighborhood. These local distributions {called textures{ characterize object surfaces and are used for pattern identication and recognition of images. However, some spatial patterns may vary from quite simple stripes to randomness, where textures look like unstructured noise. Since textures can exhibit a large number of properties such as surface materials and geometry of the lighting sources, many dierent approaches have been proposed. A featured method is the modication of Wang's algorithm made by Ojala et al, the so-called local binary patterns (LBP). The LBP algorithm uses a 3×3 square mask named "texture spectrum" which represents a neighborhood around a central pixel. The values in the square mask are compared with the central pixel and then multiplied by a weighting function according with their positions. This technique has become popular due to its computational simplicity and more importantly for encoding a powerful signature for describing textures. Specially, it has gained increased importance in image classication, where the success not only depends on a robust classier but also relies in a good selection of the feature descriptors. However, Ojala's algorithm presents some limitations such as noise sensitivity and lack of invariance to rotational changes. This fact has fostered many extensions of the original LBP approach that in many cases are based on minor changes in order to attain e.g. illumination and rotational invariance or improving the robustness to noise. In this paper we present a detailed overview of the LBP algorithm and other recently modications. In addition, we perform a texture classication study with seven algorithms in presence of rotational changes, noise degradation, contrast information, and dierent sizes of LBP masks using the USC-SIPI database. The LBP histograms have been evaluated using the Kullback-Leibler distance. This study will be a valuable insight for establishing a robust and ecient texture descriptor to solve real world problems.
Object manifold learning with action features for active tactile object recognition

In this paper, we consider an object recognition problem based on tactile information using a robot hand. The robot performs an exploratory action to the object to obtain the tactile information, however, poorly designed actions may not be sufficiently informative. In contrast, if we could collect sample data by sequentially performing informative actions, i.e., active learning, the required time would be drastically reduced. To this end, we propose a novel approach for active tactile object recognition. Our approach combines both an active learning scheme and a nonlinear dimensionality reduction method. We first extracts the object manifold, each coordinate of which represents an object, from tactile sensor data and action features using Gaussian Process Latent Variable Models. At the same time, a probabilistic model of the observed data related to the action and the object are learned. Then, with the learned model, optimally-informative exploratory actions can be computed sequentially, and performed to efficiently collect the data for recognition. We show experimental results that verify the effectiveness of our proposed method with synthetic data and a real robot.
The Prostitution Reform Act (2003) and Social Work in Aotearoa/New Zealand

Social work practice with sex workers in New Zealand occurs within a context of decriminalization since the passing of the Prostitution Reform Act (PRA) in 2003. This article presents the findings of a qualitative study focused on social workers’ perceptions of sex work/ers, the PRA, and its influence on practice with individuals in the sex industry. The findings suggest that social workers hold nuanced perspectives on sex work. While decriminalization creates opportunities that support social work practice with sex workers, challenges to antioppressive, critical social work remain, even within the context of decriminalization.
[Job control, job demands, social support at work and health among adolescent workers].

OBJECTIVE To evaluate physical and psychological dimensions of adolescent labor (such as job demands, job control, and social support in the work environment), and their relation to reported body pain, work injuries, sleep duration and daily working hours. METHODS A total of 354 adolescents attending evening classes at a public school in Sao Paulo, Brazil, answered questionnaires regarding their living and working conditions (Karasek's Job Content Questionnaire, 1998), and their health status. Data collection took place in April and May 2001. Multiple logistic regression analysis was used to determine relations among variables. RESULTS Psychological job demands were related to body pain (OR=3.3), higher risk of work injuries (OR=3.0) and reduced sleep duration in weekdays (Monday to Thursday) (p<0.01). Lower decision authority in the workplace (p=0.03) and higher job security (p=0.02) were related to longer daily working hours. CONCLUSIONS It was concluded that besides physical stressors, psychological factors are to be taken into account when studying adolescent working conditions, as they may be associated with negative job conditions and health effects.
PSYCHOLINGUISTIC CHARACTERISTICS OF AUTISTS AND THEIR PROTOTYPES IN AMERICAN CINEMA DISCOURSE (BASED ON THE FILMS RAIN MAN AND THE REAL RAIN MAN)

The article focuses on the study of the main characteristics of people with autistic spectrum disorders. The comparison between the famous American savant, Kim Peek, and his prototype in the American cinema discourse has been made on the basis of the films Rain Man and The Real Rain Man. With the help of psychographological analysis, the speech of the man and his fictional prototype has been examined. The analysis showed that the difference between the two persons is indubitable, which can be explained by the fact that the savant syndrome was caused by different disorders.
OWL-based approach for semantic interoperability

The number of Web-based information systems has been increasing since Internet became the global open network accessible for all. The recent semantic Web that provides supplementary meaningful information (meta-data) about Web resources facilitates automatic processing of machines and interoperability between different systems. In this paper, we focus on an integration of heterogeneous data sources in the semantic Web context using a semantic mediation approach based on ontology. We use the ontology description language OWL to formalize ontologies of different resources and to describe their relations and correspondences allowing the semantic interoperability between them. We propose an architecture adopting mediator-wrapper approach for a mediator based on OWL. Some illustrations of semantic mediation using OWL are also presented in the paper.
A Method Based on Total Variation for Network Modularity Optimization Using the MBO Scheme

The study of network structure is pervasive in sociology, biology, computer science, and many other disciplines. One of the most important areas of network science is the algorithmic detection of cohesive groups of nodes called "communities". One popular approach to find communities is to maximize a quality function known as {\em modularity} to achieve some sort of optimal clustering of nodes. In this paper, we interpret the modularity function from a novel perspective: we reformulate modularity optimization as a minimization problem of an energy functional that consists of a total variation term and an $\ell_2$ balance term. By employing numerical techniques from image processing and $\ell_1$ compressive sensing -- such as convex splitting and the Merriman-Bence-Osher (MBO) scheme -- we develop a variational algorithm for the minimization problem. We present our computational results using both synthetic benchmark networks and real data.
Dependency-based Extraction of Entity-relationship Triples from Polish Open-domain Texts

We present a prototype system for extracting arbitrary relations between named entities from open-domain texts in Polish based on DEBORA – a dependency-based approach to the problem. The presented method is designed for the purpose of the conducted experiment and is adapted to morpho-syntactic properties of Polish, e.g. free word order, high degree of morphological marking. Our preliminary results show that the method is applicable for Polish, even if there is a room for improvement. We also present the application of the extraction method in the problem of graphical entity summarisation.
MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos

People are sharing their opinions, stories and reviews through online video sharing websites every day. Studying sentiment and subjectivity in these opinion videos is experiencing a growing attention from academia and industry. While sentiment analysis has been successful for text, it is an understudied research question for videos and multimedia content. The biggest setbacks for studies in this direction are lack of a proper dataset, methodology, baselines and statistical analysis of how information from different modality sources relate to each other. This paper introduces to the scientific community the first opinion-level annotated corpus of sentiment and subjectivity analysis in online videos called Multimodal Opinion-level Sentiment Intensity dataset (MOSI). The dataset is rigorously annotated with labels for subjectivity, sentiment intensity, per-frame and per-opinion annotated visual features, and per-milliseconds annotated audio features. Furthermore, we present baselines for future studies in this direction as well as a new multimodal fusion approach that jointly models spoken words and visual gestures.
Automatic translation of FORTRAN programs to vector form

The recent success of vector computers such as the Cray-1 and array processors such as those manufactured by Floating Point Systems has increased interest in making vector operations available to the FORTRAN programmer. The FORTRAN standards committee is currently considering a successor to FORTRAN 77, usually called FORTRAN 8x, that will permit the programmer to explicitly specify vector and array operations. Although FORTRAN 8x will make it convenient to specify explicit vector operations in new programs, it does little for existing code. In order to benefit from the power of vector hardware, existing programs will need to be rewritten in some language (presumably FORTRAN 8x) that permits the explicit specification of vector operations. One way to avoid a massive manual recoding effort is to provide a translator that discovers the parallelism implicit in a FORTRAN program and automatically rewrites that program in FORTRAN 8x. Such a translation from FORTRAN to FORTRAN 8x is not straightforward because FORTRAN DO loops are not always semantically equivalent to the corresponding FORTRAN 8x parallel operation. The semantic difference between these two constructs is precisely captured by the concept of dependence. A translation from FORTRAN to FORTRAN 8x preserves the semantics of the original program if it preserves the dependences in that program. The theoretical background is developed here for employing data dependence to convert FORTRAN programs to parallel form. Dependence is defined and characterized in terms of the conditions that give rise to it; accurate tests to determine dependence are presented; and transformations that use dependence to uncover additional parallelism are discussed.
The unfolded protein response is required for dendrite morphogenesis

Precise patterning of dendritic fields is essential for the formation and function of neuronal circuits. During development, dendrites acquire their morphology by exuberant branching. How neurons cope with the increased load of protein production required for this rapid growth is poorly understood. Here we show that the physiological unfolded protein response (UPR) is induced in the highly branched Caenorhabditis elegans sensory neuron PVD during dendrite morphogenesis. Perturbation of the IRE1 arm of the UPR pathway causes loss of dendritic branches, a phenotype that can be rescued by overexpression of the ER chaperone HSP-4 (a homolog of mammalian BiP/ grp78). Surprisingly, a single transmembrane leucine-rich repeat protein, DMA-1, plays a major role in the induction of the UPR and the dendritic phenotype in the UPR mutants. These findings reveal a significant role for the physiological UPR in the maintenance of ER homeostasis during morphogenesis of large dendritic arbors. DOI: http://dx.doi. org/10.7554/eLife.06963. 001
No toxicological effects on acute and repeated oral gavage doses of single-wall or multi-wall carbon nanotube in rats.

Three female Crl:CD(SD) rats/group were dosed with single wall carbon nanotube (SWCNT) or multi wall carbon nanotube (MWCNT) four times by gavage at a total of 50 mg/kg bw or 200 mg/kg bw (four equally divided doses at one-hour intervals). Acute oral doses of SWCNT and MWCNT caused neither death nor toxicological effects, and thus the oral LD50 values for SWCNT and MWCNT were considered to be greater than 50 mg/kg bw and 200 mg/kg bw, in rats respectively. Five or ten Crl:CD(SD) rats/sex were dosed with SWCNT once daily by gavage at a dose of 0 (control), 0.125, 1.25 or 12.5 mg/kg bw/day for 28 days with a 14-day recovery period (0 and 12.5 mg/kg bw/day groups). Six or twelve Crl:CD(SD) rats/sex were dosed with MWCNT once daily by gavage at a dose of 0 (control), 0.5, 5.0 or 50 mg/kg bw/day for 28 days with a 14-day recovery period (0 and 50 mg/kg bw/day groups). Based on no toxicological effects, the no observed adverse effect levels (NOAELs) of repeated dose toxicity of SWCNT and MWCNT were considered to be 12.5 mg/kg bw/day and 50 mg/kg bw/day (the highest dose tested), respectively. It was suggested that SWCNT and MWCNT dosed by gavage reached the gastro-intestinal tract as agglomerates and were mostly excreted via feces.
Improving VLAD with regional PCA whitening

In recent yeas, VLAD has been used to represent an image effectively and efficiently by just a few bytes in large-scale image retrieval. In spite of its remarkable performance, a series of modification methods have been presented. In addition, the redundancy between the features corresponding to the same cluster center could be improved. In this paper, a regional PCA Whitening method is proposed to decorrelate the features and reduce the dimensionality for each cluster with the consideration of mapping the descriptor into high dimensionality explicitly. Our method can also be embedded into original VLAD pipeline with global PCA very well. The experimental results on both Holidays and UKbench dataset show that our approach improves VLAD significantly.
Cloud resolving modeling of the ARM summer 1997 IOP: Model formulation, results, uncertainties, and sensitivities

Abstract A new three-dimensional cloud resolving model (CRM) has been developed to study the statistical properties of cumulus convection. The model was applied to simulate a 28-day evolution of clouds over the Atmospheric Radiation Measurement Program (ARM) Southern Great Plains site during the summer 1997 Intensive Observation Period. The model was forced by the large-scale advective tendencies and surface fluxes derived from the observations. The sensitivity of the results to the domain dimensionality and size, horizontal grid resolution, and parameterization of microphysics has been tested. In addition, the sensitivity to perturbed initial conditions has also been tested using a 20-member ensemble of runs. The model captures rather well the observed temporal evolution of the precipitable water and precipitation rate, although it severely underestimates the shaded cloud fraction possibly because of an inability to account for the lateral advection of clouds over the ARM site. The ensemble runs reveal t.
Dietary Omega-3 Fatty Acid Supplementation Reduces Inflammation in Obese Pregnant Women: A Randomized Double-Blind Controlled Clinical Trial

Objective Long-chain omega 3 fatty acids, eicosapentaenoic acid (EPA, 20:5n-3) and docosahexaenoic acid (DHA, 22:6n-3) exert potent anti-inflammatory properties in humans. This study characterized the effects of omega-3 ω-3 fatty acids supplements (ω-3 FA) on the inflammatory status in the placenta and adipose tissue of overweight/obese pregnant women. Study Design A randomized, double-masked controlled trial was conducted in overweight/obese pregnant women that were randomly assigned to receive DHA plus EPA (2g/day) or the equivalent of a placebo twice a day from week 10–16 to term. Inflammatory pathways were characterized in: 1) adipose tissue and placenta of treated vs. untreated women; and 2) adipose and trophoblast cells cultured with long chain FAs. Results The sum of plasma DHA and EPA increased by 5.8 fold and ω-3 FA/ ω-6 FA ratio was 1.5 in treated vs. untreated women (p< 0.005). Plasma CRP concentrations were reduced (p<0.001). The adipose tissue and placenta of treated women exhibited a significant decrease in TLR4 adipose and placental expression as well as IL6, IL8, and TNFα In vitro, EPA and DHA suppressed the activation of TLR4, IL6, IL8 induced by palmitate in culture of adipose and trophoblast cells. Conclusion Supplementation of overweight/obese pregnant women with dietary ω-3 FAs for >25 weeks reduced inflammation in maternal adipose and the placental tissue. TLR4 appears as a central target of the anti-inflammatory effects at the cellular level. Trial Registration ClinicalTrials.gov NCT00957476