Miracle-dz/UniFAR-FTUs huggingface dataset:
Effects of association of physical education and multidisciplinary intervention program on cardiovascular risk factors in obese elderly women

Purpose: The aim of the current study was to evaluate the effects of a multidisciplinary intervention program on cardiovascular risk factors in obese women. Participated 33 obese women, classified by the body mass index BMI ≥ 30kg/m2. Material: The intervention program had a duration of the 12 weeks, and consisted of nutritional and psychological support, as well as physical exercise orientation, with a supervision single weekly session for 60 min, being the participants stimulated to do physical exercise in the other days of the week. Preand postintervention were measured the anthropometrics, as body weight, stature, lean body mass, fat mass, BMI; metabolic, as total cholesterol, triglycerides, glucose; hemodynamic parameters, as blood pressure and heart rate; and autonomic cardiac from the heart rate variability, with analyses in the frequency-domain, through the relative power of the low-frequency band (0.04-0.15 Hz) in normal units (LFnu) and relative power of the highfrequency band (0.15-0.4 Hz) in normal units (HFnu). Results: The intervention program promoted significant decrease in the body weight (-2%), BMI (-1.9%), fat mass (-2.1%), triglycerides (-2%), diastolic blood pressure (-10.6%), LFnu (-22.1%) and increase of the HFnu (+53.1%), resulting in a reduction of the LF:HF ratio, reducing the cardiac sympathetic modulation and increasing the parasympathetic modulation. Conclusions: These results suggest that a multidisciplinary intervention program is effective in the beginning of the treatment of obesity and to the reduction of risk factors for cardiovascular and cardiometabolic diseases.
Anger and Strategic Behavior: A Level-K Analysis

Anger is an important driver in shaping economic activities, particularly in instances that involve strategic interactions between individuals. Here we test whether anger impairs the capacity to think strategically, and we analyze the implications of our result on bargaining and cooperation games. Accordingly, with a preregistered experiment (Experiment 1), we externally induce anger to a subgroup of subjects following a standard procedure that we verify by using a novel method of text analysis. We show that anger can impair the capacity to think strategically in a beauty contest game. Angry subjects choose numbers further away from the Nash equilibrium, and earn significantly lower profits. A structural analysis estimates that there is an increase in the share of level-zero players in the treated group compared to the control group. Furthermore, with a second preregistered experiment (Experiment 2), we show that this effect is not common to all negative emotions. Sad subjects do not play significantly further away from the Nash equilibrium than the control group in the same beauty contest game of Experiment 1, and sadness does not lead to more level-zero play.
Production of Noodles from Rice (Oryza sativa), African Yam Bean (Sphenostylis stenocarpa) and Rice Bran: A Tool for Ameliorating PEM and Hidden Hunger in Nigeria

In this study, the chemical composition and sensory properties of noodles prepared from flour blends of broken rice (R), African yam bean (AYB) and rice bran (B) were determined. A preliminary work was carried out to ascertain the optimal acceptable level of rice bran using 0 to 14% (w/w) addition to rice flour noodle processing. Rice bran yielded the most acceptable noodles at 8% (w/w). Consequently in the main study, the level of rice bran was maintained at 8% (w/w) while AYB and rice flours were varied in the ratios of 100:0:0, 92:0:8, 83:9:8, 64:28:8 and 46:46:8% giving a total of five samples. The noodles were characterized for proximate, mineral contents and sensory evaluation. The protein content of the noodles ranged between 5.8 and 18.4%, increasing with increasing ratios of AYB. Potassium, sodium and magnesium were the predominant minerals in the noodles ranging from 57.00 to 200.40 mg/100g, 1.60 to 105.10 mg/100g and 19.20 to 116.30 mg/100g respectively. Cooking time ranged from 6.0 to 8.3 min with sample 46:46:8R: AYB: B taking the longest time to cook while the control (Rice noodle) cooked fastest. Sample 46:46:8R: AYB: B had the highest sensory scores of 7.3 on a 9 point hedonic scale for General acceptability.
Helmet Wearing Among Commercial Motorcyclist in Brazzaville (Congo): Knowledge, Attitude and Prevalence

Transport on motorcycles has grown and is widespread in Congo (Brazzaville) and several sub-Saharan Africa countries; leading to a growing incidence of traffic road injuries and fatalities. The effectiveness of helmet wearing as preventing is founded out and the laws on its promotion exist, but its prevalence remains low. In order to make commercial motorcyclists and their passengers aware of the importance of wearing a safety helmet and contribute to promoting, the study aims to determine the prevalence, the knowledge, and attitude of helmet use and attitude among motorcycle taxi drivers in Brazzaville. We performed a descriptive cross-sectional mixed-method study, both quantitative and qualitative data were collected and analyzed. A total of 241 commercial motorcyclists were interviewed in their station point, near the market located in areas of the north of Brazzaville downtown. All were male with an average age of 28.6±7.1 years, 65.1% (157/241) had a previous motorcycle accident and none had a driving certificate. Ninety-one point three of the percentage had a "good level of knowledge on the helmet, their attitudes towards safety helmets use were favorable among 95.4% (230/241). Only 40.3% (97/241) of drivers wore the helmet, slightly linked to the history of police sanction (p<0,05). The study carried out a high level of knowledge, a favorable attitude towards the use of safety helmets contrasted with the low prevalence of helmet use, exposing drivers and passengers to the risk of fatal head injuries. The promotion of the wearing of safety helmets should take into account the emergence of this type of public transport, in order to address awareness and coercive actions to them.
Fiscal Policy and Regional In‡ation in a Currency Union¤

This paper investigates the ability of a region participating in a currency union to a¤ect its in‡ation di¤erential with respect to the union through . scal policy. We study the interaction between regional . scal policy and in‡ation di¤erentials in a ‡exible­ price, two-region model with both traded and nontraded goods. For symmetric regions, changes in one region’s tax rule that decrease the volatility of its in‡ation di¤erential also decrease the volatility of its output. The decrease in the volatility of the in‡ation di¤erential is brought about by an increase in the volatility of tax rates. The e¤ect of the tax rule on output volatility – but not in‡ation volatility – depends on country size. For a small country lower volatility of in‡ation di¤erentials is associated with higher volatility of output. This relationship results from the fact that small countries are more open, and hence there is a greater role for traded goods productivity shocks. ¤We would like to thank Michael Dotsey, Tommaso Monacelli, Fabio Natalucci, Cedric Tille, and partici­ pants in the 2002 SED meeting in New York, the International Forum on Monetary Policy at the European Central Bank, the Federal Reserve System Committee on International Economics, the 2003 Midwest Macro conference, and the 2003 Econometric Society meeting for comments on this and an earlier version, and Elise Couper for research assistance. This paper does not necessarily represent the views of the Federal Reserve System or the Federal Reserve Bank of Richmond. yFederal Reserve Bank of Richmond, margarida.duarte@rich.frb. org. zFederal Reserve Bank of Richmond, alexander.wolman@rich.frb. org.
Improving Diversity and Reducing Redundancy in Paragraph Captions

The purpose of an image paragraph captioning model is to produce detailed descriptions of the source images. Generally, paragraph captioning models use encoder-decoder based architectures similar to the standard image captioning models. The encoder is a CNN based model, and the decoder is a LSTM or GRU. The standard image captioning models produce unsatisfactory results for the paragraph captioning task due to the lack of diversity in the generated outputs [9]. The paragraphs generated from standard image captioning models lack in language diversity and contain redundant information. In this work, we have proposed an approach with language discriminator for increasing the diversity in language, and dissimilarity score using word mover’s distance [4] for reducing redundant information. Using this approach with a state-of-the-art model at testing time, we have improved the METEOR score from 13.63 to 19.01 for the Visual Genome dataset.
Sipunculans along the Aegean coast of Turkey

Faunistical analysis of benthic samples collected from different depths and biotopes (0–195 m) at 108 stations along the Turkish Aegean coast yielded 11 species and 5 subspecies of Sipuncula. Two species (Phascolion (Isomya) tuberculosum and Aspidosiphon (Aspidosiphon) misakiensis) are new to the eastern Mediterranean fauna and 8 species are new to the Turkish fauna. Onchnesoma steenstrupii steenstrupii has the highest dominance and frequency index values in the study area. Aspidosiphon (Aspidosiphon) elegans and Apionsoma (Apionsoma) misakianum are alien species. Of the biotopes examined, muddy sand was characterized by the highest number of species and specimens, whereas sponges and coralligenous substrata were characterized by the lowest number of species and specimens. The biometrical and reproductive features of the species are presented and discussed.
Effect of plant growth regulators and nutrients on yield attributing characters and yield of ber (Zizyphus mauritiana Lamk.) cv. Gola

The experiment was conducted at S.K. N. College of Agriculture Jobner (Rajasthan) on four years old uniform trees of ber cv. Gola during 2018-19 and 2019-20 to study the effect of plant growth regulators and nutrients. Results revealed that application of NAA @ 50 ppm significantly influenced the fruiting attributes viz., fruit set, fruit drop and fruit retention and physico-chemical attributes of ber plant whereas maximum physical attributes viz., fruit diameter, fruit weight, pulp weight, pulp: stone ratio, fruit yield and leaf area were recorded with application of GA3 @ 50 ppm. Similarly, among nutrients application of K2SO4 @ 2 per cent significantly increased the yield attributing characters and fruit yield of ber. Apportioning the combined spray of GA3 @ 25 ppm applied with K2SO4 @ 2 per cent is worth recommendable for farmers of semi-arid region of Rajasthan as it fetched comparable fruit yield, net returns and benefit:cost ratio from ber crop.
LITTER DECOMPOSITION AND NUTRIENT RELEASE IN A MIXED FOREST OF CUNNINGHAMIA LANCEOLATA AND TSOONGIODENDRON ODORUM

Rate of litter weight loss and release of nutrient elements were investigated in a mixed forest of Chinese fir (Cunninghamia lanceolata (Lamb.) Hook. ) and Tsoong' tree (Tsoongiodendron odorum Chun) and a pure stand of Chinese fir in Sanming, Fujian. Chinese fir needle, branch, Tsoong' tree leaf and the mixture of Chinese fir needle and Tsoong' tree leaf were involved in the 510 day period of litter bag studies. Rate of weight loss slowed with time for all litter components, with the highest percent initial weight loss of 74.54% for leaf litter of Tsoong' tree at the first year. Concentrations of N and P appeared to increase and concentrations of K and C appeared to decrease during the decomposition. The four litter components could be arranged with respect to nutrient release rate in this sequence: leaf of Tsoong' tree the mixed leaves needle of Chinese fir branch of Chinese fir. Nutrient elements and weight loss followed the release pattern: K C dry weight N≈P. The total annual nutrient release of litter fall was N,17.921 kg·hm -2 ·a -1 ; P, 0.715 kg·hm -2 ·a -1 and K,10.315 kg·hm -2 ·a -1 respectively in the mixed forest, being 2.03, 1.73 and 1.34 times as much as that in the pure forest. It was concluded that the higher yield of litter production and the greater amount of nutrient release from litter in mixed forest were beneficial to nutrient cycling. Thus, a higher level of soil fertility would be expected for mixed forest than for pure forest.
SoK: Three Facets of Privacy Policies

Privacy policies are the main way to obtain information related to personal data collection and processing. Originally, privacy policies were presented as textual documents. However, the unsuitability of this format for the needs of today's society gave birth to other means of expression. In this paper, we systematically study the different means of expression of privacy policies. In doing so, we have explored the three main categories, which we call facets, i.e., natural language, graphical and machine-readable privacy policies. Each of these facets focuses on the particular needs of the communities they come from, ie, law experts, organizations and privacy advocates, and academics, respectively. We then analyze the benefits and limitations of each facet, and explain why solutions based on a single facet do not cover the needs of other communities. Finally, we set guidelines and discuss challenges of an approach to expressing privacy policies which brings together the benefits of each facet as an attempt to overcome their limitations.
Algorithm for Determining the Knock Resistance of Pipeline Natural Gases

A next-generation algorithm to calculate the PKI methane number is reported. The algorithm is suitable for a wide range of fuel compositions encountered in natural gas pipelines, including admixture of hydrogen and carbon monoxide from renewable sources. Comparison with measurements of knock in a commercial engine shows that the algorithm allows sharp distinction between fuel compositions that do or do not cause engine knock under given operating conditions. Moreover, the algorithm presented here demonstrates superior performance as compared to the existing methods from MWM and AVL. The methane numbers calculated using the PKI MN algorithm for a wide range of fuel compositions are within the uncertainty of the experimental knock measurements. In contrast, methods that are currently used do not predict the knock behavior of the measured gas compositions reliably. A major benefit of the algorithm presented here is that it consists of a simple polynomial equation that can be easily integrated into real-time gas-quality sensing equipment to calculate the PKI MN for assessment of pipeline gas quality or into engine management systems to allow next-generation feed-forward, fuel-adaptive control. In contrast, the current methods such as AVL and MWM need dedicated (and for AVL, proprietary) solvers that iteratively calculate the methane number. Furthermore, given the experimentally verified reliability and ease of implementation of the PKI MN algorithm, we assert that it is an excellent, open-source candidate for international standards for specifying the knock resistance of gaseous fuels.
Dominant Channel Fusion Architectures - An Intelligent Late Fusion Approach

Multi-modal classification tasks (MMCTs) constitute an important part of pattern recognition. In MMCTs the data is described through different channels (input streams), which are defined by different recording sensors or types of features (e.g. categorical or numerical). The different channels can be combined by different information fusion (IF) techniques. Popular IF approaches are late fusion architectures. In the common late fusion approach, one trains a classification model (CM) for each of the distinct (i.e. non-overlapping) channels and combines the outputs of the CMs by some aggregating rule. In this study, we propose to add an initial evaluation step to determine the best performing channel, which we define as the dominant channel. We use the dominant channel to design a modified late fusion architecture with overlapping channels by including combinations of non-dominant channels with the dominant one. This idea has the following two main advantages. First, this approach is straightforward. No additional parameters and hence optimisation techniques are required. Second, besides its simplicity our outcomes show that this approach is effective, since it significantly outperforms the common late fusion approach (including non-overlapping, distinct input streams). Moreover, it reaches and even outperforms state-of-the-art results based on fusion approaches that are more complex.
Prediction of Daily Blood Sampling Room Visits Based on ARIMA and SES Model

This paper is aimed at establishing a combined prediction model to predict the demand for medical care in terms of daily visits in an outpatient blood sampling room, which provides a basis for rational arrangement of human resources and planning. On the basis of analyzing the comprehensive characteristics of the randomness, periodicity, trend, and day-of-the-week effects of the daily number of blood collections in the hospital, we firstly established an autoregressive integrated moving average model (ARIMA) model to capture the periodicity, volatility, and trend, and secondly, we constructed a simple exponential smoothing (SES) model considering the day-of-the-week effect. Finally, a combined prediction model of the residual correction is established based on the prediction results of the two models. The models are applied to data from 60 weeks of daily visits in the outpatient blood sampling room of a large hospital in Chengdu, for forecasting the daily number of blood collections about 1 week ahead. The result shows that the MAPE of the combined model is the smallest overall, of which the improvement during the weekend is obvious, indicating that the prediction error of extreme value is significantly reduced. The ARIMA model can extract the seasonal and nonseasonal components of the time series, and the SES model can capture the overall trend and the influence of regular changes in the time series, while the combined prediction model, taking into account the comprehensive characteristics of the time series data, has better fitting prediction accuracy than a single model. The new model can well realize the short-to-medium-term prediction of the daily number of blood collections one week in advance.
Noise Theory and Practice

Rectangular box-like structures are used widely in a large number of engineering applications, e.g. as elements of railway carriages, heavy goods vehicles, buildings, civil engineering constructions, etc. Although flexible rectangular boxes represent one of the geometrically simple types of engineering structures, their structural-acoustic properties can not be described by closed-form analytical solutions. In the present study, a comprehensive numerical investigation of typical all-flexible rectangular box structures has been carried out to elucidate the physics of structural–acoustic interaction in them and to explore the possibilities of reduction of the associated structure-borne interior noise. Finite element method has been used to compute the resonant frequencies, the mode shapes and the structural-acoustic frequency response functions of different rectangular box models. The obtained results could assist in better understanding of structural-acoustic properties of flexible rectangular boxes as well as of numerous more complex structures using rectangular boxes as their building elements.
Efficacy and safety of tranexamic acid in unilateral major revision total hip arthroplasty.

BACKGROUND The risk of blood loss differs among subtypes of revision total hip arthroplasty (THA), and different tranexamic acid (TXA) protocols have rarely been studied in those conditions. The present study aimed to evaluate the efficacy and safety of intravenous and intravenous plus topical TXA in a subtype of revision THA. METHODS We retrospectively reviewed 91 patients who underwent unilateral major revision THA from 2010 to 2018. The major revision was defined as a subtype of revision THA, which included concomitant femoral and acetabular components revision, revision for periprosthetic femoral fracture (PFF), and one-stage revision for periprosthetic joint infection (PJI). In the intravenous group, 23 patients received intravenously 1 g of TXA 30 minutes before the incision with the second dose 3 hours later. In the combined group, 20 patients received intravenously 1 g of TXA 30 minutes before the incision with the second dose 3 hours later, and 2 g of TXA was topically injected around the joint capsule when the fascia layer was closed. Forty-eight patients who underwent revision procedures without TXA constituted the control group. Within the three groups, we compared demographic variables, operation-related data, transfusion volume, transfusion rate, calculated blood loss, postoperative drainage volume, and venous thromboembolism (VTE) risk. RESULTS Compared with the control group, both intravenous and combined TXA significantly reduced intraoperative transfusion volume (3.43±2.32 vs. 4.68±2.63 units, P=0.044; 2.78±1.91 vs. 4.68±2.63 units, P=0.004; respectively) and total transfusion volume (4.16±2.73 vs. 5.73±3.05 units, P=0.036; 3.50±2.74 vs. 5.73±3.05 units, P=0.005; respectively), and there were significant reductions of postoperative drainage volume (250.87±204.54 vs. 455.73±303.93 mL, P=0.003; 285.00±218.14 vs. 455.73±303.93 mL, P=0.017; respectively) and calculated blood loss (1,322.49±656.13 vs. 1,698.66±728.39 mL, P=0.031; 1,237.13±545.32 vs. 1,698.66±728.39 mL, P=0.012; respectively). One patient had a symptomatic pulmonary embolism, and two patients had calf muscular vein thrombosis in the control group. There were two patients and one patient with calf muscular vein thrombosis in the intravenous group and the combined group, respectively. Perioperative transfusion volume, transfusion rate, and calculated blood loss were comparable between the intravenous group and the combined group. CONCLUSIONS Both intravenous TXA and combined TXA significantly reduced perioperative transfusion volume and calculated blood loss in unilateral major revision THA with comparable perioperative transfusion rate and risk of VTE. More researches are required to explore the optimal TXA administration protocol in subtypes of revision THA.
KNOWLEDGE, ATTITUDE AND PRACTICES OF PESTICIDES USED BY FARMERS AND ITS IMPLICATIONS ON THEIR HEALTH IN DISTRICT OKARA

This study was conducted in the Department of Rural Sociology, Faculty of Social Sciences, University of Agriculture, Faisalabad, Pakistan during the year 2016. Unnecessary and improper use of pesticides produces many kinds of health hazards. Objectives of the present study are to access the knowledge, attitude and practices of farmers regarding use of pesticide and its implications on their health. The study was conducted in rural area of district Okara and 180 respondents were interviewed for collection of data through using multistage sampling technique. The results showed that the educational level of 39.4% of the respondents was below primary, 42.2% of the respondents had poor level of knowledge and 39.4% of the respondents were cultivating less than five acres of land. A highly significant association (p = 0.000***) between level of knowledge and level of practicing PPEs is found. With regards to implications on health hazards, 90.6% of the respondents reported headache followed by skin irritation (90.%), dizziness (36.7%), eye irritation (17.2%) and fever (16.1%). It needs to provide proper knowledge and training to the farmers regarding safe use and handling of pesticide to farmers.
Scholastic Performance of Students at West African Senior Secondary Certificate Examinations in Nigeria

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