Miracle-dz/UniFAR-FTUs huggingface dataset:
Race, Gender, and Political Representation

Who gets elected? Who do they represent? What issues do they prioritize? Does diversity in representation make a difference? Race, Gender, and Political Representation approaches these questions about the politics of identity in the United States differently. It is not about women’s representation or minority representation; it is about how race and gender interact to affect the election, behavior, and impact of all individuals—raced women and gendered minorities alike. By putting women of color at the center of the analysis and re-evaluating traditional, one-at-a-time approaches to studying the politics of race or gender, the authors demonstrate what an intersectional approach to political representation can reveal. With a wealth of original data on the presence, policy leadership, and policy impact of Black women and men, Latinas and Latinos, and White women and men in state legislative office in the late 20th and early 21st centuries, each chapter shows how the politics of race, gender, and representation are far more complex than recurring “Year of the Woman” frameworks suggest. An array of race-gender similarities and differences is evident in the experiences, activities, and accomplishments of these state legislators. Yet one thing is clear: the representation of those marginalized by multiple, intersecting systems of power and inequality is intricately bound to the representation of women of color.
Using Deep Learning for Visual Navigation of Drone with Respect to 3D Ground Objects

In the paper, visual navigation of a drone is considered. The drone navigation problem consists of two parts. The first part is finding the real position and orientation of the drone. The second part is finding the difference between desirable and real position and orientation of the drone and creation of the correspondent control signal for decreasing the difference. For the first part of the drone navigation problem, the paper presents a method for determining the coordinates of the drone camera with respect to known three-dimensional (3D) ground objects using deep learning. The algorithm has two stages. It causes the algorithm to be easy for interpretation by artificial neural network (ANN) and consequently increases its accuracy. At the first stage, we use the first ANN to find coordinates of the object origin projection. At the second stage, we use the second ANN to find the drone camera position and orientation. The algorithm has high accuracy (these errors were found for the validation set of images as differences between positions and orientations, obtained from a pretrained artificial neural network, and known positions and orientations), it is not sensitive to interference associated with changes in lighting, the appearance of external moving objects and the other phenomena where other methods of visual navigation are not effective. For the second part of the drone navigation problem, the paper presents a method for stabilization of drone flight controlled by autopilot with time delay. Indeed, image processing for navigation demands a lot of time and results in a time delay. However, the proposed method allows to get stable control in the presence of this time delay.
Coupled transport of humic acids and copper through saturated porous media

The mechanism of mediated transport of copper (Cu) by humic acids (HA) in pore water was studied taking account of colloid filtration theory and by means of breakthrough experiments of HA in water‐saturated columns filled with quartz sand. The influence of pH and Cu2+ concentration on Cu–HA binding and retention of Cu–HA complexes in the matrix were analysed with colloid‐surface attachment models. Experiments were performed for differing Cu concentrations (0–20 mg l−1) and pH (5–7). Copper binding to HA increased with pH and Cu2+ addition, according to ion–humic complexation theory. The zeta potential of the HA became less negative with increasing amounts of Cu, which led to less electrostatic repulsion and an increase in the retention of the HA in the column. A kinetic colloid transport model with a random sequential adsorption (RSA) blocking function was well fitted to the experimental breakthrough curves (BTCs). The model accounted for heterogeneity in the adsorption sites in the quartz sand for all of the electrochemical conditions. For pH = 7, the transport of Cu was coupled with the HA, while at pH = 5, the transport occurred mostly as free Cu2+. Models of the influence of dissolved soil organic matter and electrochemical conditions on the fate of trace elements in the soil may contribute to a quantitative exploration of strategies for soil remediation and disposal of contaminated soil containing excessive amounts of trace elements.
Quantum dot celluar automata‐based encoder and priority encoder circuits: Low latency and area efficient design

The transistorless technology, quantum dot cellular automata (QCA) becomes one of the potential candidates of nanotechnology for signal processing circuits because of its ultra‐low power requirement, high frequency of operation, extreme‐low area requirement, and short channel effect (SCEs) immune at nanoscale circuits. Quasi‐adiabatic switching of QCA makes its data transfer faster. This work reports faster, smaller, and low‐power, 4‐to‐2 and 8‐to‐3 encoder, and priority encoder circuits designed on QCA platform. Both of these encoders and priority encoders are widely used circuits for communication to encode the data. These circuits are realized using three‐input majority gates, five‐input majority gates, and co‐planar clock zone‐based crossover technique. The proposed circuits show the improvement in performance in terms of cell count, area requirement, delay, quantum cost, and energy dissipation as compared to the existing circuits. The cell count and the area requirement of the proposed circuits have been magnificently lowered as compared to the recent literature. Moreover, these circuits also require 75% lesser clock periods than the existing literature, thus demonstrate lower latency. This work shows the way for future exploration of QCA‐based encoder circuits.
Smart Tableware-Based Meal Information Recognition by Comparing Supervised Learning and Multi-Instance Learning

SUMMARY In recent years, with the improvement of health awareness, people have paid more and more attention to proper meal. Existing research has shown that a proper meal can help people prevent lifestyle diseases such as diabetes. In this research, by attaching sensors to the table-ware, the information during the meal can be captured, and after processing and analyzing it, the meal information, such as time and sequence of meal, can be obtained. This paper introduces how to use supervised learning and multi-instance learning to deal with meal information and a detailed comparison is made. Three supervised learning algorithms and two multi-instance learning algorithms are used in the experiment. The experimental results showed that although the supervised learning algorithms have achieved good results in F-score, the multi-instance learning algorithms have achieved better results not only in accuracy but also in F-score.
Rheological Characterization of Hydrophylic Gels

Rheological characteristics of gels were studied, with the focus on their use as a cosmetic base. Some ideal characteristics can be predicted by the rheological characterization, such as the performance, with easy application and without dripping or forming lumps and bubbles. Moreover, it is possible to detect signs of physical instability. The gels were prepared with sodium carboxymethyl cellulose 3% and 5%, with Carbopol 940 (INCI: Carbomer) and with Carbopol Ultrez (INCI: Acrylates/C10-30 alkyl acrylate crosspolymer). The tests performed were yield stress, stress sweep and creep and recovery. The gel with 3% of sodium carboxymethyl cellulose presented the most appropriated behavior and can be indicated as the most suitable cosmetic base.
Translation distractors facilitate production in single- and mixed-language picture naming

ABSTRACT In the picture-word interference (PWI) task, semantically related distractors slow production, while translation-equivalent distractors speed it, possibly implying a language-specific bilingual production system [Costa, A. , Miozzo, M. , & Caramazza, A. (1999). Lexical selection in bilinguals: Do words in the bilingual's two lexicons compete for selection? Journal of Memory and Language, 41(3), 365–397. https://doi.org/10.1006/jmla.1999. 2651]. However, in most previous PWI studies bilinguals responded in just one language, an artificial task restriction. We investigated translation facilitation effects in PWI with language switching. Spanish-English bilinguals named pictures in single- or mixed-language-response blocks, with superimposed distractors in the target language (Experiment 1), or in the non-target language (Experiment 2). Both experiments replicated previously reported translation facilitation effects in both single-language and mixed-language-response blocks. However, language dominance was reversed in mixed-language response blocks, implying inhibition of the dominant language and competition between languages. These results may be explained by a language non-specific selection model in which bilinguals do not restrict selection to one language, with translation facilitation being caused by facilitation at the semantic level offsetting competition at the lexical level.
Association of TH17 cell and IL-17A With Autoimmune Inflammatory Disorders: A Review

T helper17 cells consider as essential pathogenic T cell subset in some pathological situations that associated with T helper1 cells. The pathology of autoimmune diseases are related with these cells and also these cells important in the clearance of extracellular infections. Interleukin17A is the major cytokine that produced from T helper 17 cells. These cells in addition to Treg cells are differentiated from naive T cells and can be controlled by cytokine milieu, such as Treg cells induction need for transforming growth factor β, whereas the same cytokine stimulates the T helper 17 populations to differentiate under effect of interleukin 6 or interleukin1. Furthermore, the T helper 17 can be maintenance by interleukin 23. The massive information about T helper 17 is fundamental for recognition of its etiological participation and for evolution of therapeutic approach that related with combat T helper 17 related diseases. In this review, we effort to highlight on the importance of these cells and their cytokines in expansion of autoimmune diseases in human.
THE IMPACT OF PERCEIVED VALUES AND INFORMATION SHARING ACTIVITY TOWARDS PURCHASE INTENTION IN ONLINE TRAVEL AGENTS

Virtual marketplace requires travel agents to give more efforts to increase potential customer’s purchase intention, mainly by increasing customer’s perception of value for the services offered. There is also information constantly revolving in the internet which may strengthen or weaken these perceptions. In this research, we aim to explore the values influencing someone’s motive to purchase transportation tickets collaborated with interpersonal information gathering. This paper consists of perception into customer behavior and preference towards online travel agent based on some variables. We carried out empirical study to examine the hypothesis correlating to the research model using IBM SPSS for data analysis. The result shows that the customers’ intent to book tickets via online travel agent is potentially relied on perceived values and information sharing activity.
Combination of Thermal Treatments and Anaerobic Digestion to Reduce Sewage Sludge Quantity and Improve Biogas Yield

Anaerobic digestion is an interesting solution to wastewater sludge management issue as a part of organic matter is converted into methane which is valorisable as renewable energy. The aim of this study was to investigate and to compare the impact of sludge thermal pre-treatments on semi-continuous anaerobic digestion of two waste activated sludge samples collected from different urban wastewater plants. Chemical oxygen demand, total solids and organic solids removal rates and methane yields were determined after reactor stabilization.All the studied thermal pre-treatments (130°C, pH = 10, 150°C and 170°C during 30 min) led to an enhancement of anaerobic digestion performance compared to untreated sludge samples. For one sludge, the 130°C, pH = 10 and 170°C treatments led to the same sludge solubilisation and the same anaerobic digestion performance. However, alkali addition had negative effect in total solid removal. For the second sludge, the 170°C treatment led to higher solubilization rates and higher methanization performance than the 150°C treatment. As both sludge samples were quite similar, the same 170°C treatment led to comparable results in anaerobic digestion performance increase: about 80% improvement in removal of matter and in biogas yield. Nevertheless, values of methane yields were slightly higher for the most organic sludge.
Intention to use bike-booking application: the case of students in Ho Chi Minh City

This study aims to determine the factors that influence the intention to use the bike-booking application and measure the influence of the elements on the behavior intention to use the bike-booking application for university students in Ho Chi Minh City. Based on the research results, the author gives some managerial implications to increase customers' choice of bike-booking applications to increase the attractiveness of customers to choose apps. With the number of surveyed questionnaires is 200, the author collected 177 valid respondents, and the study results showed that the scales used in the model meet the requirement about reliability and validity. Research has shown that factors such as trust, perceived ease of use, subjective norm, perceived usefulness, perceived price level positively influence the intention to use a bike-booking application for university students in Ho Chi Minh City. In which the perceived usefulness has the most substantial impact, the subjective norm has the lowest effect on behavior intention. The second most effective one is the perceived price level; the third most effective is the ease of use; the fourth most effect is trust.
Compact dual‐mode wideband MIMO filtering antenna array with high selectivity and improved isolation

A novel compact MIMO dual‐mode filtering antenna array with wide bandwidth, high selectivity and good isolation is proposed. The filtering antenna unit consists of a patch radiator at the top layer coupled with a high‐order dual‐mode filter at the bottom layer through a rectangular slot in the middle ground layer. The fourth‐order filter adopts two E‐shape dual‐mode resonators to achieve wide bandwidth and high selectivity. A pair of filtering antenna units form a MIMO array with a distance of 0. 2λg by using three interdigital lines in the middle to enhance the port isolation. Finally, a 1 × 2 MIMO filtering antenna array operating at 2.45 GHz is designed and fabricated, which shows wide fractional bandwidth of 24.5%, sharp skirt slope with a pair of radiation nulls, smooth realized gain of 4.5 dBi as well as high isolation more than 20 dB.
Simulating the internal structure of the Antarctic Ice Sheet – towards
a spatio-temporal calibration for ice-sheet modelling

Abstract. Ice Sheet Models are a powerful tool to project the evolution of the Greenland and Antarctic Ice Sheets, and thus their future contribution to global sea-level changes. Probing the fitness of ice-sheet models to reproduce ongoing and past changes of the Greenland and Antarctic ice cover is a fundamental part of every modelling effort. However, benchmarking ice-sheet model data against real-world observations is a non-trivial process, as observational data comes with spatio-temporal gaps in coverage. Here, we present a new approach to assess the ability of ice-sheet models which makes use of the internal layering of the Antarctic Ice Sheet. We simulate observed isochrone elevations within the Antarctic Ice Sheet via passive Lagrangian tracers, highlighting that a good fit of the model to two dimensional datasets does not guarantee a good match against the three dimensional architecture of the ice-sheet and thus correct evolution over time. We show, that paleoclimate forcing schemes commonly used to drive ice-sheet models work well in the interior of the Antarctic Ice Sheet and especially along ice divides, but fail towards the ice-sheet margin. The comparison to isochronal horizons attempted here reveals, that simple heuristics of basal drag can lead to an overestimation of the vertical interior ice sheet flow especially over subglacial basins. Our model-observation intercomparison approach opens a new avenue to the improvement and tuning of current ice-sheet models via a more rigid constraint on model parameterisations and climate forcing which will benefit model-based estimates of future and past ice-sheet changes.
Renal Artery Aneurysm Due to Fenestration of a Branch of the Renal Artery: A Case Study

Abstract Artery fenestration is a congenital vascular malformation, often of the intracranial arteries, that causes an aneurysm. However, there have been no reports of artery fenestration causing renal aneurysm. We present the case of a 58-year-old man who developed renin-dependent hypertension. He was aware of heaviness of the head, and his blood pressure was 196/134 mm Hg on 5 mg of amlodipine. Laboratory tests showed hypokalemia, hyperreninemia, and hyperaldosteronemia. An enhanced 3-dimensional computed tomography scan showed a 19-mm renal aneurysm in a branch of the left renal artery, and renal arteriography showed a fenestration in the aneurysm-forming branch. Coil embolization was performed on the central side of the artery forming the aneurysm and fenestration, after which blood pressure, serum potassium, and plasma renin levels improved. The patient in the present case had renin-dependent hypertension as a result of decreased renal blood flow caused by the renal aneurysm and fenestration, which is considered an extremely rare etiology of hypertension.
Contribution of Tocols to Food Sensorial Properties, Stability, and Overall Quality

This paper reviews the contribution of tocopherols and tocotrienols (tocols) to food quality as well as their bioactivity and health-promoting properties, which have attracted researchers and food technologists. Tocols are lipophilic phenolic antioxidants encompassing tocopherols that are characterized by a saturated side chain and tocotrienols with an unsaturated isoprenoid side chain. Tocols are natural constituents of several foods like dairy, vegetable oils, nuts, and grains. Their presence in foods, namely, as food additives, helps prevent lipid oxidation, which negatively affects the sensorial quality of foods, and even the nutritional value and safety. Supplementation of animals’ diets with tocopherols has proven its effectiveness in preserving fresh color and flavor of the meat. Although alfa-tocopherol displays much higher vitamin E activity than other tocols, health outcomes have been reported for tocotrienols, thus calling for more studies.
Wine Tourism Behaviour in the Context of a Motivational Framework for Wine Regions and Cellar Doors

Most wine tourists and visitors to wine regions can be viewed as actual or potential consumers of a lifestyle beverage, who visit wine regions in order to have wine‐related experiences. An exploratory wine tourism research study in the Coonawarra and McLaren Vale wine regions in South Australia measured the motivations for engaging in wine tourism and specific behaviours related thereto. The results of the study are exposited by means of a suggested conceptual motivational framework for wine tourism. The framework is a simple construct consisting of three main dimensions: the Visitor, Wine Region and Visit Dynamic (viewed in terms of first‐time or repeat visitation). As an adjunct to these, there are multivariate evolving sub‐dimensions of motivation and behaviour related to geographic location of wine region, purpose of visit, etc., which augment the main dimensions. The results revealed that in the Wine Region dimension motivation is affected in terms of geographic location in relation to the permanent home origin of the visitors. The Visit Dynamic dimension revealed that there are similarities and marked differences between the motivations of first‐time and repeat visitors and subsequent behaviours in the different wine regions. The sub‐dimension of visitation motivations indicated that to taste and buy wine are the most prevalent motivations, with emphasis on enjoyable tasting experiences and finding interesting and special wines. Motivations are significantly affected by knowledge of the wine region, the products and wineries through previous visits. The framework construct makes it possible to identify the relative significance of certain wine tourism behaviours. Wine regions and individual cellar doors need this information to plan for and meet the wine tourists' needs and expectations within the scope of their own resources.
An artificial immune system algorithm for solving the uncapacitated single allocation p-Hub median problem

The present paper deals with a variant of hub location problems (HLP): the uncapacitated single allocation p-Hub median problem (USApHMP). This problem consists to jointly locate hub facilities and to allocate demand nodes to these selected facilities. The objective function is to minimize the routing of demands between any origin and destination pair of nodes. This problem is known to be NP-hard. Based on the artificial immune systems (AIS) framework, this paper develops a new approach to efficiently solve the USApHMP. The proposed approach is in the form of a clonal selection algorithm (CSA) that uses appropriate encoding schemes of solutions and maintains their feasibility. Comprehensive experiments and comparison of the proposed approach with other existing heuristics are conducted on benchmark from civil aeronautics board, Australian post, PlanetLab and Urand data sets. The results obtained allow to demonstrate the validity and the effectiveness of our approach. In terms of solution quality, the results obtained outperform the best-known solutions in the literature.
The prevalence of ochratoxin A in dried grapes and grape-derived products: a systematic review and meta-analysis

Abstract Background Ochratoxin is a potent human toxin and suspected carcinogen metabolite generated by Penicillium spp. and Aspergillus spp. The current systematic meta-analysis review was conducted for the first time on the prevalence of ochratoxin A (OTA) in dried grapes and grape-derived products including sultana, currant, raisin, pekmez, and grape juice. Methods All studies published up to December 2019 were searched in PubMed, Scopus, and Web of Science databases. The references of published papers were collected in order to investigate the prevalence of OTA in dried grapes and grape-derived products. The degree of heterogeneity between the studies was evaluated by the I2 heterogeneity statistic. The random effects model was used to calculate the pooled prevalence in subgroups such as country and type of grape products. Results The search retrieved 725 studies, 39 of which were included in this meta-analysis. According to reviewed reports, the global pooled prevalence of OTA was estimated as 42% (95% CI: 32%, 52%) for currants, 36% (95% CI: 20%, 52%) for grape juice, 39% (95% CI: 28%, 50%) for pekmez, 58% (95% CI: 48%, 68%) for raisins, and 27% (95% CI: 22%, 33%) for sultana. The rank of grape-based products based on mean concentration of OAT was in order of pekmez > raisin > sultana > currant > grape juice. Conclusion The lowest and highest prevalence of OTA in different studied samples were related to grape juice and pekmez, respectively. The results of this meta-analysis can be useful in different risks management models, and can help health strategists and different industries to reduce the prevalence of OTA in grape-based products.