Miracle-dz/UniFAR-FTUs huggingface dataset:
Inhibitory effect of catecholic colonic metabolites of rutin on fatty acid hydroperoxide and hemoglobin dependent lipid peroxidation in Caco-2 cells

To determine the preventive effect of dietary rutin on oxidative damages occurring in the digestive tract, 13-hydroperoxyoctadecadienoic acid and hemoglobin were exposed to Caco-2 intestinal cells after the pretreatment with colonic rutin metabolites. Among four catechol-type metabolites, quercetin and 3,4-dihydroxytoluene exerted significant protection on 13-hydroperoxyoctadecadienoic and hemoglobin-dependent lipid peroxidation of this epithelial cell. Compared with quercetin, a much lower concentration allowed 3,4-dihydroxytoluene to maximize the protective effect, though it needed a longer pre-incubation period. Neither quercetin nor 3,4-dihydroxytoluene affected the expression of peroxiredoxin-6 protein, which comprises the cellular antioxidant defense system. It is concluded that 3,4-dihydroxytoluene is a plausible rutin colonic metabolite that can suppress oxidative damages of intestinal epithelial cells by directly inhibiting lipid peroxidation. This result may illuminate the preventive role of dietary rutin against colorectal cancer incidence in relation to the consumption of red and processed meat.
Severe, life-threatening Epstein-Barr Virus encephalitis in an immunocompetent adolescent girl

Abstract A 14-year-old girl diagnosed with Epstein-Barr Virus encephalitis with generalized status epilepticus and cardiac arrest. The pathogenic role of Epstein-Barr Virus was identified by a polymerase chain reaction analysis of the patient's cerebrospinal fluid. Cranial computerized tomography and magnetic resonance imaging revealed no abnormalities. After being admitted to the intensive care unit, the patient exhibited progressive improvement until complete recovery from the disease. Despite the severity of the disease, the patient did not experience long-term sequelae.
Desarrollo de una aplicación móvil de intermediación laboral para sectores excluidos del mercado de trabajo: un instrumento para la definición de políticas públicas

Resumen. Este trabajo presenta el desarrollo de una aplicación móvil con la función de ser un instrumento de intermediación en el mercado de trabajo. Esta permite registrar y geo-localizar los usuarios que ofrezcan sus servicios de oficios de manera eventual y ofrece un lugar de encuentro con los demandantes de los servicios ofrecidos, acercando a las partes sin intermediación de terceros, generando vínculos directos con gratuidad, eficiencia e inmediatez. Además, es un medio que podrá visibilizar las habilidades y aptitudes de los usuarios en sus respectivos oficios. Los usuarios demandantes podrán contribuir a consolidar los curriculum vitae (CV) de los usuarios contratados a través de un sistema de puntuación y comentarios, generando información de suma importancia para retroalimentar la aplicación. Esto plantea la inserción al mercado laboral desde otra lógica, es decir, a través de la co-construcción conjunta de los CVs. Para la creación de la aplicación se estableció un plan de trabajo entre la Universidad Nacional de Rosario (UNR) y la Universidad Nacional de Río Negro(UNRN). Este trabajo presenta detalles técnicos de la aplicación y explica el contexto para su utilización, así como beneficios asociados y recursos técnicos necesarios.
Energy Aware Ad Hoc On-Demand Multipath Distance Vector Routing

The current disjoint path Ad hoc On-Demand Multi- path Distance Vector (AOMDV) routing protocol does not have any energy-awareness guarantees. When AOMDV is used in wireless sensor networks (WSNs) energy is an important consideration. To enhance the AOMDV protocol an extra energy metric is added along with the hop count metric. This Energy aware or EA-AOMDV improves path selection using a trade-off between energy and hop count, thus giving more longevity to WSNs. EA-AOMDV is compared to the current AOMDV routing protocol to prove its worth in the context of WSNs. It is found that EA-AOMDV leads to better WSN energy-awareness in resource constrained WSNs.
Limited or lasting legacy? The effect of non-mega sport event attendance on participation

Research question: It is often claimed by event promoters that hosting major sports events will inspire increased participation at grass-roots level. However, evidence of this linkage is scarce. This paper addresses the research gap by examining the legacy effect of ‘non-mega’ events on the sport participation levels of those who attend them. Research methods: Data gathered using a combination of face-to-face and online surveys with spectators during and following their attendance at one of nine events, held in England between 2010 and 2012, yielded 434 matched responses. Results and findings: The analysis revealed different types of increases in post-event participation behaviour of both previously active and inactive respondents, including ‘initial’, ‘sustained’ and ‘lagged’ effects. However, attributing causality for these positive changes in activity behaviour to a single event is problematic due to the range of other factors that audiences may experience with the passage of time, including other events. Implications: The key implication of the research for management practice is that major sport events can have a positive market penetration effect but market development effects are as yet unproven.
Discriminación laboral por género: Una mirada desde el efecto techo de cristal

La lucha de las mujeres por ingresar al mercado laboral ha generado efectos positivos en sus vidas pues ha permitido, en algunos casos, el mejoramiento de su status social en cuanto a la posibilidad de decidir sobre su rol productivo y reproductivo. Sin embargo, este mercado tambien ha obstaculizado el escalonamiento femenino limitando el acceso a cargos directivos, estrategicos o de decision, como si hubiese una barrera invisible conocida como efecto techo de cristal. Este articulo de revision realiza un acercamiento a tal efecto desde su conceptualizacion, la teoria que lo sustenta, su aplicacion empirica y en las politicas publicas, para asi comprender las dinamicas propias de la discriminacion laboral por genero en algunos paises de Iberoamerica. Los principales hallazgos sugieren que la discriminacion ocupacional y salarial hacia las mujeres que perpetuan la segregacion es causada por prejuicios sociales determinados por la division sexual del trabajo, pues el nivel educativo y la experiencia laboral no son en ultimas las que causan el estancamiento de las mujeres, lo que indica que los mercados estan funcionando sin equidad.
Periodontal disease, diabetes, and immune response: a review of current concepts.

: A reasonable interpretation of the present evidence indicates that diabetes, when a complication of periodontitis, acts as a modifying and aggravating factor in the severity of periodontal infection. Diabetics with periodontitis who were young and poorly controlled, those who were long-duration diabetics, especially those over 30 years old, demonstrated more attachment loss, bone loss, and deeper probing pocket depths than their nondiabetic controls. It seems that the earlier the onset of diabetes and the longer the duration, especially without consistent control, the more susceptible the individual will be to periodontal disease. Consequently, once a diabetic contracts periodontal disease, it is usually more destructive. Although plaque scores of diabetics may be comparable to or even less than those of nondiabetics, diabetics often exhibit higher gingival index scores. The elevation of this particular clinical parameter is indicative of the microangiopathy associated with diabetes. Diabetic microangiopathy contributes to compromised delivery of nutrients to surrounding tissues and poor elimination of metabolic waste products. The complications associated with diabetes such as macroangiopathy, microangiopathy (i.e., retinopathy), ketoacidosis, and hyperglycemia result in impaired wound healing, immunosuppression, and susceptibility to bacterial infection. Individuals ages 30 to 40 suffering from diabetic retinopathy had significantly more gingival inflammation than controls or diabetics without complications. Collagen metabolism is defective in diabetics and is one component underlying delayed wound healing. Animal studies have been instrumental in elucidating the details of delayed wound healing. Hyperglycemia was associated with increased collagenase and protease activity in the gingiva of rats. Vascular wound healing in rats, particularly new re-endothelialization across vascular anastomoses, was significantly impaired. Diabetic abnormalities in immune response include impaired neutrophil chemotaxis, phagocytosis, and adhesion. Decreased neutrophilic chemotactic response seems to be attributable to protein factors in diabetic serum that competitively bind neutrophil receptors, thereby preventing complement-mediated phagocytosis. Because diabetics are not able to eliminate circulating immune complexes (CIC) effectively, serum CIC levels are elevated. There are microbiological differences in the characteristic flora of NIDDM patients and IDDM patients with periodontitis. These differences are not associated with diabetic impaired immune response. Ultimately, bacterial plaque is the primary etiology of periodontal diseases. Evidently, the host's response to bacterial plaque and ability to heal following surgery is altered by diabetic disease. Therefore, a thorough history regarding onset of diabetes, duration, and diabetic control would prove useful in the clinical management of diabetics presenting for treatment of periodontal disease.
Liquid Light with a Whirl An elliptical light beam in a nonlinear optical medium pumped by ‘ ‘ twisted light ’ ’ can rotate like an electron around a magnetic field

M agnetism and rotation have a lot in common. The effect of a magnetic field on a moving charge, the Lorentz force, is formally equivalent to the fictitious force felt by a moving mass in a rotating reference frame, the Coriolis force. For this reason, atomic quantum gases under rotation can be used as quantum simulators of exotic magnetic phenomena for electrons, such as the fractional quantum Hall effect. But there is no direct equivalent of magnetism for photons, which are massless and chargeless. Now, Niclas Westerberg and coworkers at Heriot-Watt University, UK, have shown how to make synthetic magnetic fields for light [1]. They developed a theory that predicts how a light beam in a nonlinear optical medium pumped by “twisted light” will rotate as it propagates, just as an electron will whirl around in a magnetic field. More than that, the light will expand as it goes, demonstrating fluid-like behavior. We can expect synthetic magnetism for light to bring big insights into magnetism in other systems, as well as some beautiful images.
Applications of thermal imaging in avian science

Thermal imaging, or infrared thermography, has been used in avian science since the 1960s. More than 30 species of birds, ranging in size from passerines to ratites, have been studied using this technology. The main strength of this technique is that it is a non-invasive and non-contact method of measuring surface temperature. Its limitations and measurement errors are well understood and suitable protocols have been developed for a variety of experimental settings. Thermal imaging has been used most successfully for research on the thermal physiology of captive species, including poultry. In comparison with work on mammals, thermal imaging has been less used for population counts, other than for some large bird species. However, more recently it has shown greater success for detection of flight paths and migration. The increasing availability and reduced cost of thermal imaging systems is likely to lead to further application of this technology in studies of avian welfare, disease monitoring, energetics, behaviour and population monitoring.
Improved upper bound on root number of linearized polynomials and its application to nonlinearity estimation of Boolean functions

To determine the dimension of null space of any given linearized polynomial is one of vital problems in finite field theory, with concern to design of modern symmetric cryptosystems. But, the known general theory for this task is much far from giving the exact dimension when applied to a specific linearized polynomial. The first contribution of this paper is to give a better general method to get more precise upper bound on the root number of any given linearized polynomial. We anticipate this result would be applied as a useful tool in many research branches of finite field and cryptography. Really we apply this result to get tighter estimations of the lower bounds on the second order nonlinearities of general cubic Boolean functions, which has been being an active research problem during the past decade, with many examples showing great improvements. Furthermore, this paper shows that by studying the distribution of radicals of derivatives of a given Boolean functions one can get a better lower bound of the second-order nonlinearity, through an example of the monomial Boolean function $g_{\mu}=Tr(\mu x^{2^{2r}+2^r+1})$ over any finite field $\GF{n}$.
A Study of Food Recognition Technique

Now a days sharing food related photos on social media has become a trend and people are looking for the interested food dishes and the restaurants. So detecting the food items, classifying them and analyzing have been the topic of in-depth studies for various applications related to food recognition, eating habits and dietary assessment. This paper gives a broad study of food recognition techniques. It also focuses on the various feature extraction methods as well as the classification techniques. This paper also gives a brief survey of the datasets available for the food. Keywords— Multiple-food image, region detection, feature
Analyzing Mobile App Privacy Using Computation and Crowdsourcing

Mobile apps can make use of the rich data and sensors available on smartphones to offer compelling services. However, the use of sensitive resources by apps is not always justified, which has led to new kinds of privacy risks and challenges. While it is possible for app market owners and third-parties to analyze the privacy-related behaviors of apps, present approaches are difficult and tedious. I present two iterations of the design, implementation, and evaluation of a system, Gort, which enables more efficient app analysis, by reducing the burden of instrumenting apps, making it easier to find potential privacy problems, and presenting sensitive behavior in context. Gort interacts with apps while instrumenting them to detect sensitive information transmissions. It then presents this information along with the associated app context to a crowd of users to obtain their expectations and comfort regarding the privacy implications of using the app. Gort also runs a set of heuristics on the app to flag potential privacy problems. Finally, Gort synthesizes the information obtained through its analysis and presents it in an interactive GUI, built specifically for privacy analysts. This work offers three distinct new advances over the state of the art. First, Gort uses a set of heuristics, elicited through interviews with 12 experts, to identify potential app privacy problems. Gort heuristics present high-level privacy problems instead of the overwhelming amount of information offered through existing tools. Second, Gort automatically interacts with apps by discovering and interacting with UI elements while instrumenting app behavior. This eliminates the need for analysts to manually interact with apps or to script interactions. Third, Gort uses crowdsourcing in a novel way to determine whether app privacy leaks are legitimate and desirable and raises red flags about potentially suspicious app behavior. While existing tools can detect privacy leaks, they cannot determine whether the privacy leaks are beneficial or desirable to the user. Gort was evaluated through two separate user studies. The experiences from building Gort and the insights from the user studies guide the creation of future systems, especially systems intended for the inspection and analysis of software.
In the nonparametric Bayesian perspective

While variational dropout approaches have been shown to be effective for network sparsification, they are still suboptimal in the sense that they set the dropout rate for each neuron without consideration of the input data. With such input-independent dropout, each neuron is evolved to be generic across inputs, which makes it difficult to sparsify networks without accuracy loss. To overcome this limitation, we propose adaptive variational dropout whose probabilities are drawn from sparsity-inducing beta-Bernoulli prior. It allows each neuron to be evolved either to be generic or specific for certain inputs, or dropped altogether. Such input-adaptive sparsityinducing dropout allows the resulting network to tolerate larger degree of sparsity without losing its expressive power by removing redundancies among features. We validate our dependent variational beta-Bernoulli dropout on multiple public datasets, on which it obtains significantly more compact networks than baseline methods, with consistent accuracy improvements over the base networks.
Inefficient Diversification in Multi-market Oligopoly with Diseconomies of Scope

This paper considers the incentives of oligopolistic firms to diversify into technologically related markets when there are diseconomies of scope. There is a rent extraction incentive for firms to adopt flexible technologies that enable them to enter technologically related markets, thereby increasing competition. However, this strategic motive leads to inefficiency in production owing to diseconomies of scope. This paper shows that the welfare gain arising from increased competition is offset by the inefficiency in production, which may lead to lower welfare than in the case of pure monopoly. This is a counterexample to the contention that the diversification increases social welfare. Copyright 1994 by The London School of Economics and Political Science.
LOGOTYPE DETECTION FOR CHILD LOCK ON INTERNET TELEVISION

Presently, Internet offers to all users easy and constant access to TV programmes through the Internet TV. These programmes are not always appropriate for all users (eg childern) on account of presented content. There are diverse methods of TV programmes blocking In order to check TV programmes content broadcasted through the Internet. How- ever, the problem of automatic blocking is not solved. It does not take a note of the method that consist in verification of the program mes through the identification of the image broad- casted from the video stream. The paper presents a method invented by the authors of the paper based on automatic identification of the provider's logo. The programme's provider reconnaissance will be realized on-line through the automatic identification of the static logo object together with the programme in a sequence of video images. The automatic identification of the provider's logo allows to block access to TV broadcast of the selected transmissions according to the transmission schedule. This method performs a temporal and spatial segmentation of the logo. In order to extract the regions of the logo's contours the Sobel operator is applied. Next, the averaged binerization of the image is obtained through the Otsu method, which identifies its threshold. The vector used in comparison process is calculated through the projection method. The findings received in this work confirm the effectiveness of that method. The method has been tested on transmissions available in the Internet TV. It allows to achieve over 98,7% correct results of the Internet TV programmes blocking on-line.
Spécificités des sources de connaissances pour l’innovation environnementale des PME

Ancrée dans la perspective knowledge-based, cette recherche vise à mettre en évidence les spécificités des sources de connaissances des PME pour les innovations environnementales qui restent peu étudiées comparativement aux innovations technologiques. Les résultats montrent que les sources de connaissances, essentielles pour les innovations environnementales des PME, diffèrent de celles mobilisées pour les innovations technologiques. Les PME qui introduisent des innovations environnementales font davantage appel aux sources externes qu’internes de connaissances. Cette recherche conduit à formuler des recommandations utiles aux PME et aux acteurs en charge de leur développement.
Variation of Clinical Estimation of Foetal Weight: Experience of 247 Cases in Dhaka City

Background: Foetal weight detection can vary by examining clinically. Objective: The purpose of the present study was to see the variation of clinical foetal weight among the newborn infant. Methodology: This prospective cohort study was carried out in the Department of Obstetrics & Gynaecology at Rajshahi Medical Hospital, Rajshahi, Bangladesh from July 2012 to June 2014 for a period of 2(two) years. Pregnant women with known gestational age at term (38 to 40 weeks of pregnancy), singleton pregnancy with longitudinal lie were included in this study. The clinical estimation of foetal weight was done. Actual birth weights of babies were measured soon after their birth. This weight was measured within the first hour of life. They were weighed naked. Result: A total number of 245 pregnant women in term pregnancy were recruited as per inclusion and exclusion criteria. Majority of the women [91(37.1%)] belonged to the age group 25 to 29 years, 83 (33.9%) in the age group 19 to 24 years. Low Birth Weight was found 14(5.7%) cases in clinical examination and 15(6.0%) cases in actual cases. Normal birth weight was found 215(87.8%) cases and 221(90.3%) cases in clinical examination and actual weight respectively. The mean with SD of foetal weight among the study population were 3283.27±461.05 gm and 2936.20±456.71 gram in clinical examination and actual weight respectively (p < 0.05). Conclusion: In conclusion there is a significant variation of clinical estimation of foetal weight Journal of Science Foundation 2018;16(2):60-64
Metropolis-Hastings Generative Adversarial Networks

We introduce the Metropolis-Hastings generative adversarial network (MH-GAN), which combines aspects of Markov chain Monte Carlo and GANs. The MH-GAN draws samples from the distribution implicitly defined by a GAN's discriminator-generator pair, as opposed to standard GANs which draw samples from the distribution defined only by the generator. It uses the discriminator from GAN training to build a wrapper around the generator for improved sampling. With a perfect discriminator, this wrapped generator samples from the true distribution on the data exactly even when the generator is imperfect. We demonstrate the benefits of the improved generator on multiple benchmark datasets, including CIFAR-10 and CelebA, using the DCGAN, WGAN, and progressive GAN.
Linguistic features to predict query difficulty

Query difficulty can be linked to a number of causes. Some of these causes can be related to the query expression itself, and can therefore be detected through a linguistic analysis of the query text. Using 16 different linguistic features, automatically computed on TREC queries, we looked for significant correlations between these features and the average recall and precision scores obtained by systems. Three of these features are shown to have a significant impact on either recall or precision scores for previous adhoc TREC campaigns. Each of these features can be viewed as a clue to a linguistically-specific characteristic, either morphological, syntactical or semantic. These results also open the way for a more enlightened use of linguistic processing in IR systems.