Miracle-dz/UniFAR-FTUs huggingface dataset:
Abbreviations AS : Atherosclerosis LDL : Low density lipoprotein CVD : Cardiovascular disease UA : Uric acid BMI : Body mass index TC : Total cholesterol HDL : High density lipoprotein TG : Tryglicerides TEAC : Trolox equivalent antioxidant capacity

Introduction: Obesity has been associated with an oxidative process, however there are controversies regarding the potential role of circulating antioxidant activity attributed to non-protein compounds. Objective: The purpose of the present study was to examine the relation between antioxidant activity levels and obesity related-indicators in Mexican young adults. Methods: Anthropometric measures, serum lipids and uric acid were determined in 78 men and 90 women (a total of 168 individuals). Serum antioxidant activity in different fractions also was measured by using TEAC assay (TEACNP, TEACP and TEACTotal). Results: TEACNP was positively correlated (p<0.05) BMI (r=0.307), WC (r=0.322), LDL (r=0.274), TC (r=0.293), TG (r=0.409) and UA (r=0.441). The antioxidant activity measured as TEACNP in individuals with obesity related-indicators was higher compared to those individuals without obesity-related indicators. When BMI, WC, HDL, LDL, TC, TG and UA were considered as obesity related-indicators, the higher the number of obesity related indicators (p<0.05) the higher the TEACNP values. However, when TEACP values decreased, the number of obesity related-indicators (p<0.05) increased. Conclusion: The positive association between TEACNP and obesity related-indicators suggests that apparently increase in TEACNP may not always indicate a healthier condition. (Nutr Hosp. 2015;31:1989-1995) DOI:10.3305/nh.2015. 31.5. 8524
The Fundamental Theorem of Asset Pricing

The story of this theorem started like most of modern Mathematical Finance with the work of F. Black, M. Scholes [3] and R. Merton [25]. These authors consider a model S = (St)0≤t≤T of geometric Brownian motion proposed by P. Samuelson [30], which today is widely known under the name of Black–Scholes model. Presumably every reader of this article is familiar with the by now wellknown technique to price options in this framework (compare eqf04/003: Risk Neutral Pricing): one changes the underlying measure P to an equivalent measure Q under which the discounted stock price process is a martingale. Subsequently one prices options (and other derivatives) by simply taking expectations with respect to this “risk neutral” or “martingale” measure Q. In fact, this technique was not the novel feature of [3] and [25]. It was used by actuaries for some centuries and it was also used by L. Bachelier [2] in 1900 who considered Brownian motion (which, of course, is a martingale) as a model S = (St)0≤t≤T of a stock price process. In fact, the prices obtained by Bachelier by this method were at least for the empirical data considered by Bachelier himself very close to those derived from the celebrated Black– Merton–Scholes formula (compare [34]). The decisive novel feature of the Black–Merton–Scholes approach was the argument which links this pricing technique with the notion of arbitrage: the pay-off function of an option can be precisely replicated by trading dynamically in the underlying stock. This idea, which is credited in footnote 3 of
Automatic relighting of overlapping textures of a 3D model

The paper presents a new method to correct overlapping textures of a single 3D model where each texture was obtained under possibly different lighting conditions and color response of the camera. This situation arises frequently when a single object is digitized using multiple 3D scanners. Our goal is to remove any visible seam and improve color consistency between the textures in order to merge them afterwards. To achieve this, we propose an efficient algorithm to compute the "ratio lighting" of two textures, derive a common lighting from it, and use it to "relight" each texture. We illustrate our method by correcting textures of human faces acquired with several structured-light 3D scanners. Experimental results are realistic and demonstrate how this method can reduce the need to calibrate colors or explicitly solve for the illumination.
Litter Gender Composition and Sex Affect Maternal Behavior and DNA Methylation Levels of the Oprm1 Gene in Rat Offspring

The mu-opioid receptor is encoded by the Oprm1 gene and contributes to mother–infant behaviors. Rodent dams lick male pups more than female pups in the anogenital region. This behavior is linked to stress responsivity in the offspring that may be mediated by epigenetic changes. We hypothesized that maternal behavior may affect DNA methylation levels of the Oprm1 gene and show sex differences. To further explore sex differences in mother–pup behaviors and DNA methylation levels, we altered the litter gender composition (LGC) of rats. Litters were culled to eight all male, all female, or four male/four female pups on postnatal (PN) day 1. On PN4, 7, and 10, a dam was placed in a test cage with a pup for a 10-min period. Latency to pup contact was determined as were times spent licking the anogenital and other body regions of the pup. Frequencies of other behaviors were tabulated. On PN35, samples from various brain regions were obtained. DNA methylation at specific CpG sites in the Oprm1 promoter region were measured by direct sequencing of bisulfite-treated DNA. LGC and sex interacted with day for latency to pup contact. Latencies were longest on PN4 for single-sex males and on PN10 for single-sex females. Dams licked male pups more than female pups in both the anogenital and other body areas. Sex differences were seen in other behaviors. LGC altered DNA methylation at specific CpG's of Oprm1 in hippocampus with higher levels in single-sex rats. In nucleus accumbens, single-sex males showed hypermethylation levels, a trend seen in caudate–putamen. Results confirm and extend sex differences in maternal care with modest LGC effects. That both LGC and sex have enduring effects on DNA methylation of the Oprm1 gene in brain regions associated with addiction, stress regulation, motivation, and cognition may suggest one factor that contributes to gender differences in these behaviors.
Dynamic Winner Prediction in Twenty20 Cricket: Based on Relative Team Strengths

Predicting the outcome of a match has always been at the center of sports analytics. Indian Premier League (IPL), a professional Twenty20 (T20) cricket league in India, has established itself as one of the biggest tournaments in cricket history. In this paper, we propose a model to predict the winner at the end of each over in the second in-nings of an IPL cricket match. Our methodology not only incorporates the dynamically updating game context as the game progresses, but also includes the relative strength between the two teams playing the match. Estimating the relative strength between two teams involves modeling the individual participating players’ potentials. To model a player, we use his career as well as recent performance statistics. Using the various dynamic features, we evaluate several supervised learning algorithms to predict the winner of the match. Finally, using the Random Forest Clas-siﬁer (RFC), we have achieved an accuracy of 65 . 79% - 84 . 15% over the course of second innings, with an overall accuracy of 75 . 68%.
A Novel Adaptable Routing Protocol for Wireless Sensor Networks

Routing is an important issue in WSNs with the sensor nodes having limited processing power, memory etc. In this paper we present a query-based routing protocol for a WSN that provides different classes of Quality of Service (QoS) in terms of energy-efficiency, reliability, low latency and fault tolerance for different application requirements. The algorithm has low computational overhead while guaranteeing different QoS support based on the application demand. The novelty of the proposed algorithm is the ability to provide multiple QoS support without having to reconfigure or redeploy sensor nodes. The performance of the algorithm has been evaluated by implementing it on network simulator NS-2 with 802.15. 4 libraries. The results show that the algorithm gives good performance statistics for the designed QoS terms thereby satisfying the goal of the design.
Preliminary study on color modification for still images to realize barrier-free color vision

We propose a color modification scheme for still images in order to realize barrier-free color vision in the IT society. Based on the knowledge of Kondo's anomalous color vision model, we quantify the degree of color discrimination among colors in a given image by the anomalous vision people, and modify the pixel colors to improve the discrimination by them while keeping naturalness of the image.
Photosynthesis and net primary productivity in three Antarctic diatoms: possible significance for their distribution in the Antarctic marine ecosystem

Photosynthesis and net primary productivity were measured in 3 Antarctic diatoms, Fragilariopsis cylindrus, Pseudo-nitzschia subcurvata and Chaetoceros sp. , exposed to rapid changes in temperature and salinity representing a range of conditions found during a seasonal cycle. Measured differences in fluorescence-derived photosynthetic activity and oxygen evolution suggested that some alternative electron cycling activity was present under high irradiances. F. cylindrus displayed the highest rates of relative electron transport and net primary productivity under all salinity and temperature combinations and showed adaptive traits towards the sea-ice- like environment. P. subcurvata displayed a preference for low saline conditions where produc- tion rates were greatest. However, there was evidence of photosynthetic sensitivity to the lowest temperatures and highest salinities, suggesting a lack of adaptation for dealing with sea-ice-like conditions. Chaetoceros sp. showed high plasticity, acclimating well to all conditions but perform- ing best under pelagic conditions. The study shows species-specific sensitivities to environmental change, highlighting photosynthetic capacity as a potentially important mechanism in ecological niche adaptation. When these data were modelled over different seasons, integrated daily net pri- mary production was greatest under summer pelagic conditions. The findings from this study sup- port the general observations of light control and seasonal development of net primary productiv- ity and species succession in the Antarctic marine ecosystem.
The (Re)genesis of Values

Dual-process models of culture and action posit that fast, automatic cognitive processes largely drive human action, with conscious processes playing a much smaller role than was previously supposed. These models have done much to advance our understanding of behavior, but they focus on generic processes rather than specific cultural content. As useful as this has been, it tells us little about which forms of culture matter for action. Drawing on a cross-disciplinary set of theory and evidence, I argue that values are tied to many forms of behavior, across both contexts and cultures, and they operate in ways consistent with dual-process models. I illustrate the plausibility of these claims using data from the second wave of the European Social Survey, as well as real-time decision data from a large, online survey. I show that values predict self-reported behaviors in a variety of substantive domains and across 25 nations, and they operate using automatic cognitive processes. These findings suggest that values merit renewed theoretical and empirical attention.
A multi-functional mobile information system for hospital assistance

Ospedale Amico (Friendly Hospital) is a mobile and personalized information system, aimed at improving the quality of the communication between medical staff and patients. The system provides the patients with up-to-date and context dependent day hospital activity guidance, and let them enter personal data and browse user-adapted descriptions of their disease. In this paper we describe the system functionality an discuss how we have addressed the limitations identified in the field study of an earlier prototype.
Schooling in Rural New South Wales: The Experience of Overseas Students

This paper serves to identify some of the issues encountered by overseas secondary students undertaking studies in rural Australia and illustrates the need for the researchers to be culturally and personally sensitive and adaptable when researching this population. The aim of this study was to document the experiences of a group of overseas students attending boarding school in a town in rural Australia. The country town, where the study participants were located, is unique as it has a large population of school students within the private sector. Study findings indicated that the students received a high level of support from their peers, parents, and their schools. The support they received contributed to their relatively smooth adjustment, although they were, at times, under stress due to English language difficulties and their parents’ high expectation concerning their academic achievement. Female students more frequently reported feeling isolated, lonely, and sad, and generally wished to return home upon the completion of their studies. On the other hand, the male students were much keener to remain in Australia to undertake further study.
Managing medical research data with a Web-Interfacing Repository Manager

This paper describes the Web-Interfacing Repository Manager (WIRM), a perl toolkit for managing and deploying multimedia data, which is built entirely from free, platform-independent components. The WIRM consists of an object-relational API layered over a relational database, with built-in support for file management and CGI programming. The basic underlying data structure for all WIRM data is the repository object, a perl associative array whose values are bound to a row of a table in the relational database. Based on our experience implementing a target application (the Brain Mapper Console), we describe five stages through which a system passes as it evolves from a primitive file hierarchy to a full-fledged repository console.
Analysis of soft decision decoding of interleaved convolutional codes over burst channels

We study the performance of a decision feedback decoder (DFD) for convolutional codes over an interleaved burst channel. The DFD adaptively estimates channel reliability information from previous decisions. The effect of error propagation, finite interleaving and the length of the initial training sequence is explicitly studied. A binary Gilbert-Elliott channel is used to model the correlation structure of the error process. Comparison of the DFD and the hard decision decoding with Hamming metric reveals a crossover between the performance curves, depending on the interleaving parameters and channel statistics.
Exploring family, neighborhood and school factors in racial achievement gap

this work. This electronic representation of RAND intellectual property is provided for non-commercial use only. Unauthorized posting of RAND PDFs to a non-RAND Web site is prohibited. RAND PDFs are protected under copyright law. Permission is required from RAND to reproduce, or reuse in another form, any of our research documents for commercial use. For information on reprint and linking permissions, please see RAND Permissions. Limited Electronic Distribution Rights This PDF document was made available from www.rand. org as a public service of the RAND Corporation.
Role of Higher-“Mode” Pushover Analyses in Seismic Analysis of Buildings

The role of higher-“mode” pushover analyses in seismic analysis of buildings is examined in this paper. It is demonstrated that the higher-“mode” pushover curves reveal plastic hinge mechanisms that are not detected by the first-“mode” or other FEMA-356 force distributions, but these purely local mechanisms are not likely to develop during realistic ground motions in an otherwise regular building without a soft and/or weak story. Furthermore, the conditions necessary for “reversal” of a higher-“mode” pushover curve are examined. It is shown that “reversal” in a higher-“mode” pushover curve occurs after formation of a mechanism if the resultant force above the bottom of the mechanism is in the direction that moves the roof in a direction opposite to that prior to formation of the mechanism. Such “reversal” can occur only in higher-“mode” pushover analyses but not in the pushover analyses for the first-“mode” or other FEMA-356 force distributions. However, the “reversal” in higher-“mode” pushover curves was found to be very rare in several recent investigations that examined behavior of many moment-resisting frame buildings. Included are guidelines for implementing the Modal Pushover Analysis for buildings that display “reversal” in a higher-“mode” pushover curve.
THE OVEN BIRD'S SONG: INSIDERS, OUTSIDERS, AND PERSONAL INJURIES IN AN AMERICAN COMMUNITY*

In "Sander County" Illinois, concerns about litigiousness in the local population tended to focus on personal injury suits, although such cases were very rarely brought. This article explores the roots of these concerns in the ideology of the rural community and in the reactions of many residents to social, cultural, and economic changes that created a pervasive sense of social disintegration and loss. Personal injury claims are contrasted with contract actions, which were far more numerous yet were generally viewed with approval and did not give rise to perceptions of litigiousness or greed. The distinction is explained in terms of changing conceptions of the community itself and in terms of the problematic relationships between "insiders" and "outsiders" in Sander County.
Exploring convolutional neural networks for drug–drug interaction extraction

Abstract Drug–drug interaction (DDI), which is a specific type of adverse drug reaction, occurs when a drug influences the level or activity of another drug. Natural language processing techniques can provide health-care professionals with a novel way of reducing the time spent reviewing the literature for potential DDIs. The current state-of-the-art for the extraction of DDIs is based on feature-engineering algorithms (such as support vector machines), which usually require considerable time and effort. One possible alternative to these approaches includes deep learning. This technique aims to automatically learn the best feature representation from the input data for a given task. The purpose of this paper is to examine whether a convolutional neural network (CNN), which only uses word embeddings as input features, can be applied successfully to classify DDIs from biomedical texts. Proposed herein, is a CNN architecture with only one hidden layer, thus making the model more computationally efficient, and we perform detailed experiments in order to determine the best settings of the model. The goal is to determine the best parameter of this basic CNN that should be considered for future research. The experimental results show that the proposed approach is promising because it attained the second position in the 2013 rankings of the DDI extraction challenge. However, it obtained worse results than previous works using neural networks with more complex architectures.
Requirements on Heuristic Functions when Using A * in Domains with Transpositions

Heuristic functions play a crucial rule in optimal planning , and the theoretical limitations of algorithms using such fu nctions are therefore of interest. Much work has focused on finding bounds on the behavior of heuristic search algorithm s, using heuristics with specific attributes. Recently, it has been shown that in domains that contain transpositions, eve n heuristics that are intuitively considered to be very good, perform very badly. We show that a large family of non-perfect heuristic functions may perform well in such domains, and demonstrate some properties of a heuristic function that su pport success in those domains.
Cortical feedback depolarization waves: A mechanism of top-down influence on early visual areas

Despite the lack of direct evidence, it is generally believed that top-down signals are mediated by the abundant feedback connections from higher- to lower-order sensory areas. Here we provide direct evidence for a top-down mechanism. We stained the visual cortex of the ferret with a voltage-sensitive dye and presented a short-duration contrast square. This elicited an initial feedforward and lateral spreading depolarization at the square representation in areas 17 and 18. After a delay, a broad feedback wave (FBW) of neuron peak depolarization traveled from areas 21 and 19 toward areas 18 and 17. In areas 18 and 17, the FBW contributed the peak depolarization of dendrites of the neurons representing the square, after which the neurons decreased their depolarization and firing. Thereafter, the peak depolarization surrounded the figure representation over most of areas 17 and 18 representing the background. Thus, the FBW is an example of a well behaved long-range communication from higher-order visual areas to areas 18 and 17, collectively addressing very large populations of neurons representing the visual scene. Through local interaction with feedforward and lateral spreading depolarization, the FBW differentially activates neurons representing the object and neurons representing the background.
Metabolism of Efavirenz and 8-Hydroxyefavirenz by P450 2B6 Leads to Inactivation by Two Distinct Mechanisms

Efavirenz is a non-nucleoside human immunodeficiency virus (HIV)-1 reverse transcriptase inhibitor used in combination therapy to treat HIV-1. Efavirenz metabolism is catalyzed primarily by the polymorphic enzyme P450 2B6. Metabolism of efavirenz by P450 2B6 and the naturally occurring P450 2B6.4 mutant led to the formation of 8-hydroxyefavirenz. Efavirenz inactivated the 7-ethoxy-4-(trifluoromethyl)coumarin activity of the wild-type P450 2B6 enzyme in a time-, concentration-, and NADPH-dependent manner. However, the P450 2B6.4 variant was not inactivated by efavirenz. The ability of efavirenz to inactivate both enzymes was investigated using cyclophosphamide and bupropion, two structurally unrelated substrates of P450 2B6, as probes. Preincubations with efavirenz decreased the ability of the wild-type enzyme to hydroxylate both substrates to similar extents but had no effect on the activities of the mutant enzyme. Interestingly, the inactivation of the wild-type enzyme was completely reversible after 24 h of dialysis as determined by heme, reduced CO spectra, and activity loss. In contrast, 8-hydroxyefavirenz, a metabolite of efavirenz, was able to inactivate both enzymes irreversibly. These data suggest that incubations of P450 2B6 and P450 2B6.4 with either the parent compound efavirenz or the metabolite 8-hydroxyefavirenz in the reconstituted system result in the formation of two different reactive intermediates that lead to losses in enzymatic activity by two different mechanisms, one reversible and one irreversible.