Miracle-dz/UniFAR-FTUs huggingface dataset:
The Journal of Nutrition Supplement : Grapes and Health Grapes and Cardiovascular Disease 1 – 3

Epidemiological studies suggest that consumption of wine, grape products, and other foods containing polyphenols is associated with decreased risk for cardiovascular disease. The benefits of wine consumption appear to be greater than other alcoholic beverages. Experimental studies indicate that grape polyphenols could reduce atherosclerosis by a number of mechanisms, including inhibition of oxidation of LDL and other favorable effects on cellular redox state, improvement of endothelial function, lowering blood pressure, inhibition of platelet aggregation, reducing inflammation, and activating novel proteins that prevent cell senescence, e.g. Sirtuin 1. Translational studies in humans support these beneficial effects. More clinical studies are needed to confirm these effects and formulate dietary guidelines. The available data, however, strongly support the recommendation that a diet rich in fruits and vegetables, including grapes, can decrease the risk for cardiovascular disease. J. Nutr. 139: 1788S–1793S, 2009.
Who Gets to Future?: Race, Representation, and Design Methods in Africatown

This paper draws on a collaborative project called the Africatown Activation to examine the role design practices play in contributing to (or conspiring against) the flourishing of the Black community in Seattle, Washington. Specifically, we describe the efforts of a community group called Africatown to design and build an installation that counters decades of disinvestment and ongoing displacement in the historically Black Central Area neighborhood. Our analysis suggests that despite efforts to include community, conventional design practices may perpetuate forms of institutional racism: enabling activities of community engagement that may further legitimate racialized forms of displacement. We discuss how focusing on amplifying the legacies of imagination already at work may help us move beyond a simple reading of design as the solution to systemic forms of oppression.
Evaluation of the parameters affecting the extraction of sesame oil from sesame ( Sesamum indicum L . ) seed using soxhlet apparatus

Solvent extraction method was carried out using soxhlet apparatus to extract sesame oil from sesame seed. The primary processing of sesame seed before oil extraction include drying, crushing and separating. These ruptures the oil cells for efficient extraction. Various experiments were carried out regarding different processing parameters like particle size, particle moisture content, nature of the solvent used, pretreatment with salt and extraction time in order to find out their affect on solvent extraction of sesame seed. The results showed that after drying at 105oC, off white variety of sesame seed with an average particle size of 24 mesh and 28 mesh (87.5% and 12.5% in mass respectively) gave maximum oil yield with n-hexane solvent. The extraction was carried out for 4 hours. The physicochemical qualities of the oil were also determined.
A Mechanism for the Poleward Propagation of Zonal Mean Flow Anomalies

Abstract Observational studies have shown that tropospheric zonal mean flow anomalies frequently undergo quasi-periodic poleward propagation. A set of idealized numerical model runs is examined to investigate the physical mechanism behind this poleward propagation. This study finds that the initiation of the poleward propagation is marked by the formation of negative zonal wind anomalies in the Tropics. These negative anomalies arise from meridional overturning/breaking of waves that originate in midlatitudes. This wave breaking homogenizes the potential vorticity (PV) within the region of negative zonal wind anomalies, and also leads to the formation of positive zonal wind anomalies in the subtropics. Subsequent equatorward radiation of midlatitude waves is halted, which results in wave breaking at the poleward end of the homogenized PV region. This in turn generates new positive and negative zonal wind anomalies, which enables a continuation of the poleward propagation. The shielding of the homogenized .
Intercultural Learning Assessment: The Link between Program Duration and the Development of Intercultural Sensitivity.

At a time when global markets, communication technologies, and transportation systems have vastly increased multicultural contact in our daily lives, it is essential that “we develop communication skills and abilities that are appropriate to a multicultural society and to life in a global village” (Samovar & Porter, 2000). Institutions of higher education are striving to address these needs on one level by offering a broad array of study abroad programs that will encourage different types of students to study abroad. Engle and Engle (2003) have identified seven key components of study abroad programs that define their variety: program duration, entry language competence of participants, extent to which target language is used in coursework on site, context of academic work, type of housing arrangements, provisions for guided cultural/experiential learning, and structured opportunities for students to reflect on their cultural experiences. Given the growing emphasis on internationalizing higher education and the rapidly increasing number of students embarking on study abroad programs each year, research on student learning outcomes, especially those related to cultural learning, is assuming greater value and relevance. The study presented here aims to enhance our understanding of intercultural learning by focusing on the link between the development of intercultural sensitivity and the first of Engle and Engle’s key study abroad components, program duration. It has long been argued that program duration is instrumental in achieving desired intercultural learning outcomes. Gudykunst (1979) concludes that “contact of only a short duration does not allow enough time to establish attitudes to change. The short duration of the contact results in an incomplete psychological experience for the participants” (p. 4). Similarly, Bennett (1993) suggests that it takes at least two years in the target country to develop basic levels of adaptive behavior and to acquire a new worldview (p. 55). For Leong and Ward (2000), the longer individuals stay in the
Theorizing and contextualizing protected areas, tourism and community livelihoods linkages

Abstract Although efforts have been made to connect the conservation of protected areas (PAs) to the livelihoods of people living in adjacent localities through sustainable tourism development, the debate is still evolving and inconclusive. This special issue contributes to the discourse by endeavouring to advance discussions on relationships that exist between protected areas, tourism and community livelihoods. This paper synthesizes accomplishments and challenges that exist in studying linkages between PAs, tourism and community livelihoods, which to date have been sporadic and mostly atheoretical. Empirical evidence from different researchers are highlighted to guide interested stakeholders, policy planners and practitioners to glean and adapt their strategies to achieve integrated conservation and community development. The linkages between PAs, tourism and community livelihoods can best be understood by considering different theories, conceptual frameworks and methodologies used to understand the relationship dynamics with a view to resolve the demands of livelihoods and conservation that have been advanced over the last fifty years.
Bio-based polymers for sustainable packaging and biobarriers: A critical review

Barrier materials have an important role in various packaging applications, especially considering the requirements associated with protection and shelf life. Most barrier materials used in today’s industry are either manufactured from oil resources or metals. Driven by the increase in environmental awareness, access to oil resources as well as legislation, new and environmentally benign alternatives are at the center stage of scientific and industrial interest. This article covers the use of wood-derived polymers and those produced from microorganisms, which display remarkable barrier properties. Wood-based products have received great attention for their air/oxygen resistance. As far as their properties, microorganism-derived biopolymers are comparable to conventional oil-based thermoplastics, but their cost may still be an issue. Both, wood and microorganism-derived biopolymers are challenged when moisture, grease and oxygen resistance are simultaneously required. Hence, multilayer structures and composites are needed to fulfill the most demanding requirements of packaging materials. Here we offer a review of these topics together with a discussion of their prospects.
Fall 2018 ANALYSIS OF UNCERTAINTY IN UNDERWATER MULTIVIEW RECONSTRUCTION

ANALYSIS OF UNCERTAINTY IN UNDERWATER MULTIVIEW RECONSTRUCTION by Igor Kozlov University of New Hampshire, September, 2018 Multiview reconstruction, a method for creating 3D models from multiple images from different views, has been a popular topic of research in the field of computer vision in the last two decades. Increased availability of high-quality cameras led to the development of advanced techniques and algorithms. However, little attention has been paid to multiview reconstruction in underwater conditions. Researchers in a wide variety of fields (e.g. marine biology, archaeology, and geology) could benefit from having 3D models of seafloor and underwater objects. Cameras, designed to operate in air, must be put in protective housings to work underwater. This affects the image formation process. The largest source of underwater image distortion results from refraction of light, which occurs when light rays travel through boundaries between media with different refractive indices. This study addresses methods for accounting for light refraction when using a static rig with multiple cameras. We define a set of procedures to achieve optimal underwater reconstruction results, and we analyze the expected quality of the 3D models’ measurements.
On Certain Edge-Transitive Bicirculants

A graph $\Gamma$ of even order is a bicirculant if it admits an automorphism with two orbits of equal length. Symmetry properties of bicirculants, for which at least one of the induced subgraphs on the two orbits of the corresponding semiregular automorphism is a cycle, have been studied, at least for the few smallest possible valences. For valences $3$, $4$ and $5$, where the corresponding bicirculants are called generalized Petersen graphs, Rose window graphs and Tabač jn graphs, respectively, all edge-transitive members have been classified. While there are only 7 edge-transitive generalized Petersen graphs and only 3 edge-transitive Tabač jn graphs, infinite families of edge-transitive Rose window graphs exist. The main theme of this paper is the question of the existence of such bicirculants for higher valences. It is proved that infinite families of edge-transitive examples of valence $6$ exist and among them infinitely many arc-transitive as well as infinitely many half-arc-transitive members are identified. Moreover, the classification of the ones of valence $6$ and girth $3$ is given. As a corollary, an infinite family of half-arc-transitive graphs of valence $6$ with universal reachability relation, which were thus far not known to exist, is obtained.
Applying Economic Restrictions to Foreign Exchange Rate Dynamics: Spot Rates, Futures, and Options

Extant models of exchange rate behavior have typically relied on statistical rather than economic considerations. The approach has been to employ a variant of the generalized central limit theorem to develop tests for the models proposed. We propose a minimal set of simple economic restrictions -- symmetry, invariance, and non-negativity -- that must be satisfied by an exchange rate process. By symmetry, we mean that both the direct and indirect exchange rate processes must belong to the same class of distributions. By invariance, we mean that the distribution for an exchange rate must be invariant to changes in the currency unit. By non-negativity, we mean that the exchange rate process must preclude negative values. We identify various alternative specifications for exchange rate processes and show that some of them do not possess some or all of the above properties. Finally, we propose a new exchange rate process -- the mean-reverting logarithmic process (MRL) -- and develop valuation equations for several exchange rate instruments, from forward and futures contracts to straight options on the spot rates to options on the futures contracts.
Multilayer optics for XUV spectral region: technology fabrication and applications

We present research investigations in the field of multilayer optics in X-ray and extreme ultra-violet ranges (XUV), aimed at the development of optical elements for applications in experiments in physics and in scientific instrumentation. We discuss normal incidence multilayer optics in the spectral region of “water window”, multilayer optics for collimation and focusing of hard X-ray, multilayer dispersing elements for X-ray spectroscopy of high-temperature plasma, multilayer dispersing elements for analysis of low Z-elements. Our research pays special attention to optimization of multilayer optics for projection EUV-lithography (ψ-13nm) and short period multilayer optics.
A New Machine-Learning Prediction Model for Slope Deformation of an Open-Pit Mine: An Evaluation of Field Data

Effective monitoring of the slope deformation of an open-pit mine is essential for preventing catastrophic collapses. It is a challenging task to accurately predict slope deformation. To this end, this article proposed a new machine-learning method for slope deformation prediction. Ground-based interferometric radar (GB-SAR) was employed to collect the slope deformation data from an open-pit mine. Then, an ensemble learner, which aggregated a set of weaker learners, was proposed to mine the GB-SAR field data, delivering a slope deformation prediction model. The evaluation of the field data acquired from the Anjialing open-pit mine demonstrates that the proposed slope deformation model was able to precisely predict the slope deformation of the monitored mine. The prediction accuracy of the super learner was superior to those of all the independent weaker learners.
State Transition for Statistical SLAM Using Planar Features in 3D Point Clouds

There is a large body of literature on solving the SLAM problem for various autonomous vehicle applications. A substantial part of the solutions is formulated based on using statistical (mainly Bayesian) filters such as Kalman filter and its extended version. In such solutions, the measurements are commonly some point features or detections collected by the sensor(s) on board the autonomous vehicle. With the increasing utilization of scanners with common autonomous cars, and availability of 3D point clouds in real-time and at fast rates, it is now possible to use more sophisticated features extracted from the point clouds for filtering. This paper presents the idea of using planar features with multi-object Bayesian filters for SLAM. With Bayesian filters, the first step is prediction, where the object states are propagated to the next time based on a stochastic transition model. We first present how such a transition model can be developed, and then propose a solution for state prediction. In the simulation studies, using a dataset of measurements acquired from real vehicle sensors, we apply the proposed model to predict the next planar features and vehicle states. The results show reasonable accuracy and efficiency for statistical filtering-based SLAM applications.
Title More is Better ? Measurement of MPTCP based CellularBandwidth Aggregation in the Wild

4G/3G networks have been widely deployed around the world to provide high wireless bandwidth for mobile users. However, the achievable 3G/4G bandwidth is still much lower than their theoretic maximum. Signal strengths and available backhaul capacities may vary significantly at different locations and times, often leading to unsatisfactory performance. Bandwidth aggregation, which uses multiple interfaces concurrently for data transfer, is a readily deployable solution. Specifically, Multi-Path TCP (MPTCP) has been advocated as a promising approach for leveraging multiple source-destination paths simultaneously in the transport layer. In this paper, we investigate the efficiency of an MPTCP-based bandwidth aggregation framework based on extensive measurements. In particular, we evaluate the gain for bandwidth aggregation across up to 4 cellular operators’ networks, with respect to factors such as time, user location, data size, aggregation proxy location and congestion control algorithm. Our measurement studies reveal that (1) bandwidth aggregation in general improves the cellular network bandwidth experienced by mobile users, but the performance gain is significant only for bandwidth-intensive delay-tolerant flows; (2) the effectiveness of aggregation depends on many network factors, including QoS of individual cellular interfaces and the location of aggregation proxy; (3) contextual factors, including the time of day and the mobility of a user, also affect the aggregation performance.
The Association between Physical Activity, Motor Skills and School Readiness in 4–5-Year-Old Children in the Northeast of England

The benefits of being physically active, possessing good motor skills and being school-ready are well documented in early years. Nevertheless, the association between physical activity and motor skills with school readiness remains unknown. Therefore, the aim of this cross-sectional study was to explore the relationship between these variables. We collected data on 326 four to five-year-old children from the northeast of England. Children’s PA (ActiGraph GT1M accelerometers), motor skills (MABC-2 and the locomotor section of the TGMD-2) and school readiness (EYFSP) were measured, and associations between these variables were examined. This study found that, on average, children engaged in more MVPA (99.6 min/day) and less sedentary behaviour (261 min/day) than documented in previous research. Motor-skill scores were consistent with existing literature in early years. A higher percentage of children in the sample (79.6%) achieved school readiness than the average for England. Regression analyses found that motor-skill variables and sedentary behaviour were significantly predictive of school readiness, whereas physical activity was not. Motor skills and sedentary behaviour significantly predict school readiness. Therefore, promoting motor skills and developmentally appropriate sedentary behaviour activities may increase the number of children achieving school readiness.
Impact of Stevioside Supplementation as Feed Additive in Finisher Broiler Diets on Growth Performance, Carcass Traits, Meat Quality, Selected Biochemical Parameters, and Caecum Microflora

| Stevioside (STE) is the major ingredient of Stevia rebaudiana Bertoni leaves, plant from South America used to manufacture natural sweeteners. Stevia is used as a sweetener with no calories; evidence demonstrates that it has non-toxic effects on human verdure and is used in food production. The experiment was conducted to estimate the action of STE supplementation in finisher broiler diets. A total of 280 COBB 500 (19 dold) male broilers were allotted to 4 experimental treatments (7 replicates per treatment). Treatments were: 1) control diet, 2) 1.5 g STE/ kg feed (S1.5); 3) 3 g STE kg/feed (S3) and 4) 6 g STE/ kg feed (S6). Results showed that the growth performance (GP) traits were affected positively by STE supplementation (p< 0.01) compared to control. All carcass traits were not affected by STE supplementation except abdominal fat percentage, which decreased compared to control (P ≤ 0.05) as affected by STE supplementation. STE supplementation did not affect Meat quality, but it increases the shear-value (p< 0.01) of breast meat. A linear increase was shown in biochemical parameters: total protein, globulin, immunoglobulin A (IgA), and immunoglobulin G (IgG) concentration as affected by STE addition; inversely, a linear decrease has occurred in glucose concentration. Likewise, dietary STE supplementation improves the concentricity of lactobacillus and suppresses the concentricity of E-coli and salmonella. Results referred that the addition of STE with different levels in finisher broiler diets should enhance growth performance, breast meat quality, some blood biochemical parameters, and caecum microorganisms of broiler chicks. Hence, it may be used as a feed additive in finisher broiler diets.
Anchor point selection: An approach for anchoring without anchor items

For detecting differential item functioning (DIF) between two groups of test takers, their item parameters need to be aligned in some way. Typically this is done by means of choosing a small number of so called anchor items. Here we propose an alternative strategy: the selection of an anchor point along the item parameter continuum, where the two groups best overlap. We illustrate how the anchor point is selected by means of maximizing an inequality criterion. It performs equally well or better than established approaches when treated as an anchoring technique, but also provides additional information about the DIF structure through its search path. Another distinct property of this new method is that no individual items are flagged as anchors. This is a major difference to traditional anchoring approaches, where flagging items as anchors implies - but does not guarantee - that they are DIF free, and may lull the user into a false sense of security. Our method can be viewed as a generalization of the search space of traditional anchor selection techniques and can shed new light on the practical usage as well as on the theoretical discussion on anchoring and DIF in general.
Propaganda Detection Using Sentiment Aware Ensemble Deep Learning

In today's highly globalized world with vast information transfers, it is increasingly difficult to distinguish valid information from attempts to manipulate human attitude through propaganda, which poses a growing threat due to its spread and sophistication. This paper proposes a deep learning method in order to combine sentiment scores with traditional Word2Vec vectors which result in a sentiment aware representation containing semantic and emotional information, which, when used together, result in a more accurate propaganda classification model. The Word2Vec vector method is a useful tool used to recognize the semantic meaning of words and their structures in natural language processing, i.e., their emotional classification, and thus to detect propaganda. An emotional dictionary built into VADER's sentiment analysis results in a text sentiment score representing emotional information. This method preserves the flexibility of the Word2Vec vector by combining it with an output of sentiment analysis. Tests conducted using a Word2Vec model without sentiment data and using sentiment data with standard deep learning methods for propaganda detection show that this hybrid approach increases propaganda classification accuracy.