Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Cardiac Health Promotion Program Among the General Public The Effect of Cardiac Health Promotion Program Among the General Public in Hong Kong in Hong Kong

CHAN ET AL.: The Effect of Cardiac Health Promotion Program Among the General Public in Hong Kong . Objectives: To investigate the effectiveness of cardiac health promotion program in improving the cardiovascular (CVD) risk factors, self-efficacy and 10-year general cardiovascular (CVS) risk. Design: Quasi-experimental cohort study. Setting: Local community and a rehabilitation hospital in Hong Kong. Participants: General population without history of CVD, were recruited through convenient sampling in between April 2008 to March 2009. Interventions: Subjects were arranged to attend ten sessions of empowerment workshops on cardiovascular health, diet and community exercise classes. Assessment of different health domains, self-efficacy and risks were conducted. Results: 215 Cantonese speaking Chinese aged 51.1 ± 9.5, were recruited. Lack of exercise (57.7%), hyperlipidaemia (55.3%) and central obesity (51.6%) were found to have the highest prevalence among all of the CVD modifiable risk factors in this subjects' cohort. 22.8% and 3.4% of the male and female subjects had high risk for CVD respectively. After the program, subjects' total volume of exercise increased from 221.33 ± 270.37 to 256.26 ± 277.72 minutes/week (p<0.01) and the level of high-density lipoprotein increased from 1.36±0.30 to 1.42 ± 0.31 mmol/L (p<0.001). Other domains on physical fitness and self efficacy also demonstrated significant improvement. The 10-year general CVS risk for this cohort decreased from 8.66 ± 7.43 to 7.29 ± 5.24% (p<0.001). Conclusions: Higher prevalence in CVD risk factors was noted in our subject cohort who had low risk perception. Cardiac health promotion program, could improve physical fitness,
THE EFFECT OF SOFTWARE METRICS ON PERFORMANCE OF SOFTWARE DEFECT CLASSIFICATION WITH ANN

Software Defect Prediction has an important role in quality software. This study uses 12 D datasets from NASA MDP which then features a selection of metrics categories software. Feature selection is performed to find out metrics software which are influential in predicting defects software. After the feature selection of the metric software category, classification will be performed using the algorithm Artificial Neural Network and validated with 5-Fold Cross Validation. Then conducted an evaluation with Area Under Curve (AUC), From datasets D” 12 NASA MDP that were evaluated with AUC, PC4, PC1 and PC3 datasets obtained the best AUC performance values. Each value is 0.915, 0.828, and 0.826 using the algorithm Artificial Neural Network.
An Early Termination Criterion for Stochastic LDPC Decoding

Stochastic decoding is an excellent approach for Low-Density Parity-Check (LDPC) codes which are adopted in many communication standards, including 10GBASE-T, DVB-S2, WiMAX. In this paper, we first research some novel schemes of stochastic LDPC decoding, like NoiseDependent Scaling (NDS), Edge Memories (EMs), Tracking forecast memories (TFMs) and majority-based tracking Forecast Memories (MTFMs). (7, 4) Hamming code and (2048, 1723) LDPC code from the IEEE 802.3an standard are used to simulate and analyze the advantages and disadvantages of these methods. Then, an early termination criterion is proposed as an efficient way to speed up the decoding procedure. Simulation results show that our method can decrease the computation complexity significantly with negligible performance loss. 
Nautilus – An End-To-End METS/ALTO OCR Enhancement Pipeline

When a digital collection has been processed by OCR, the usability expectations of patrons and researchers are high. While the former expect full text search to return all instances of terms in historical collections correctly, the latter are more familiar with the impacts of OCR errors but would still like to apply big data analysis or machine-learning methods. All of these use cases depend on high quality textual transcriptions of the scans. This is why the National Library of Luxembourg (BnL) has developed a pipeline to improve OCR for existing digitised documents. Enhancing OCR in a digital library not only demands improved machine learning models
Termite Control: Decayed Wood Bait

The literature on work with insecticidal termite baitwood is reviewed. It includes trials of treatment effectiveness under various field conditions and in conjunction with residential structures. The relation of bait treat­ ment to preconstruction, construction, and post-construction stages of a building is discussed. Termite foraging behavior, behavioral factors in decayed wood, and antitermitic agents in baits are also discussed.
EFEKTIFITAS GAMIFICATION BERBASIS BLENDED LEARNING PADA MATA KULIAH PENDIDIKAN EKONOMI

The purpose of the study is to see the effectiveness of the concept of gamification that is applied in the learning process of the subject of Renewal of Economic Education Learning. The approach used in this study is a qualitative approach. Subjects in this study are students of class 06PIEE001 FKIP Pamulang University. In this study adopted Marczewski's Gamification Framework concept which consists of 8 questions: 1) what is being gamified; 2) why is it being gamified; 3) who are the users; 4) how is it being gamified; 5) analytics are set up; 6) tested with users; 7) acted on feedback; and 8) released the solution. Based on the results of data analysis and discussion, it can be concluded that 1) the learning process in the course of Renewal of Economic Education Learning can be done with the concept of gamification by combining face-to-face learning in the classroom with online learning learning; 2) student response in learning process with gamification concept mostly interested because it is new for them; 3) there is a nurturant effect for as long as the concept of gamification is applied in the class
Design for aquatic monitoring programs

An objective of ecological aquatic monitoring at nuclear power plants has been the detection of impacts on the important fauna and flora in the vicinity of the plant site. A control-treatment pairing (CTP) design for monitoring programs is presented for impact assessment in benthic and plankton communities. A scheme for the establishment of monitoring programs using CTP designs is discussed which accounts for the influence of plant site characteristics, the quantitative objectives of the monitoring study, the expected magnitude of experimental error and the limitations of time and effort. A graphical technique is presented which can be used to incorporate these often competing constraints into the design of aquatic monitoring studies. Estimates of the experimental error computed from a posteriori applications of CTP designs to benthic and plankton communities at six nuclear power plants are presented.
Comparative aeronomy of the upper atmosphere of the giant planets.

This thesis presents a study of H3 emission from Jupiter, Saturn and Uranus. This emission is associated with both auroral and solar processes, and can be used to trace energy inputs in the upper atmosphere. For Jupiter, a detailed analysis of the H3 emission is performed using a ID self-consistent atmospheric numerical model and the detailed balance formulation for H3 contained within a volume of H2. It is shown that the effects due to departures from local thermodynamic equilibrium (LTE) are significant, reducing the intensity of the observed H3. Evidence of this is shown to be present in published observations of the jovian aurora. Using the non-LTE results, the auroral heating event observed by Stallard et al. 2002 on Jupiter is analysed in terms of energy inputs and outputs. It is shown that the dominant heating source is Joule heating and ion-drag, produced by the increase in ion velocity in the auroral electrojet. However, in the absence of the heating there are not enough heat sinks as to cool down the atmosphere quickly, indicative that the energy is re-distributed mechanically via thermally driven winds. Using data from the United Kingdom Infrared Telescope (UKIRT), the first reliable auroral H3" temperature of Saturn is determined: T = 400 50 Kelvin with a column- integrated H3" density of N = 4.6 x 1016 m-2. The variations in column density within the dataset are large, indicating large variations in the precipitation flux, while the temperature remains fairly constant. On Uranus, infrared H3 spectra covering a decade is analysed in an attempt to explain the observed variability. This forms the most comprehensive long-term study of H3 emission to date. The variability is found to be complicated, with an auroral component of the total Hjj" emission being of similar magnitude as the EUV-produced component. The auroral component appears to be controlled by geometry.
Journal of Software Maintenance and Evolution: Research and Practice Supporting the Analysis of Clones in Software Systems: a Case Study

SUMMARY Code duplication is a well documented problem in industrial software systems. There has been considerable research into techniques for detecting duplication in software, and there are several effective tools to perform this task. However, there have been few detailed qualitative studies into how cloning actually manifests itself within software systems. This is primarily due to the large result sets that many clone detection tools return; these result sets are very difficult to manage without complementary tool support that can scale to the size of the problem, and this kind of support does not currently exist. In this paper we present an in-depth case study of cloning in a large software system that is in wide use, the Apache web server; we provide insights into cloning as it exists in this system, and we demonstrate techniques to manage and make effective use of the large result sets of clone detection tools. In our case study, we found several interesting types of cloning occurrences, such as " cloning hotspots " , where a single subsystem comprising only 17% of the system code contained 38.8% of the clones. We also found several examples of cloning behavior that were beneficial to the development of the system, in particular cloning as a way to add experimental functionality.
An implementation of a collaborative Internet -based project learning for Thai EFL students

The aim of study was to investigate the effectiveness of using a collaborative Internet-based project (I-B Project) in English language learning. Two kinds of language experience were examined, i.e., speaking and writing. It also examines the teacher‟s role in supporting students‟ collaborative learning as well as students‟ perceptions about using the Internet to look for the value of the websites on the Internet as a source of authentic texts for communicative EFL learning. Findings on speaking show that students‟ speaking ability can be easily enhanced by using Power Point presentation. The results on using a PPT presentation reveals that PPT was very motivating to encourage students speak in front of the class. The other result relating language experience shows that students‟ writing strategies were mostly plagiarism. This led to critical concerns in classroom Internet applications, particularly for teachers who favour using the Internet as teaching/learning tools. The investigation shows that changes for the better happened in this Project which was unconventional for Thai classroom practice, and students are very positive and attracted to the use of the Internet.
Page Proof Instructions and Queries

Black, Asian, and Minority Ethnic (BAME) models continue to be underrepresented in advertising within the fashion and beauty industry. [AQ: 1] The present research project aims to evaluate the impact of same-raced model adverts on consumer behavior as well as testing consumer-model racial congruence with a specific focus on Black models and consumers, the latter of whom feel especially underrepresented in advertising campaigns. Two studies were conducted. In Study 1, 120 female participants (38 Black, 82 Caucasian) viewed 28 perfume advertisements featuring 14 Black and 14 Caucasian models. Participants rated their likelihood of purchasing the perfume and how much money they would be willing to spend. In Study 2, 99 female participants (34 Black, 65 Caucasian) made the same ratings in Study 1, but this time they rated images fragrances without any models present. Participants were divided into three conditions: (1) participants who received no priming, (2) participants were primed with images of Black models, and (3) participants were primed with images of Caucasian models. Both studies highlighted that Black participants showed an increased intention of buying as well as a willingness to spend a higher amount of money when the product advertised is accompanied by images of Black models. Consumer-model racial congruence was not supported for Caucasian participants. This article highlights a participantmodel racial congruence for Black participants and underlines the positive impact of inclusive fashion on BAME consumers.
Page Proof Instructions and Queries

The article undertakes an innovative study focusing on the choices and manners of entrepreneur reading as a means of developing resilience and responding to the challenges and crises that entrepreneurial activity presents. The article explores predominant patterns of entrepreneurial learning and challenges the assumptions on which these are grounded. This allows original insights and perspectives to be developed with which to enhance understanding of entrepreneurial sense-making. The study employs a qualitative methodology involving purposive semi-structured interviews with entrepreneurs to determine the ways in which they identify, engage with and operationalize entrepreneurial behaviour based on their reading. The ensuing fieldwork provided a range of findings and discussion themes centred on dynamic and non-linear behaviour, reading and transformative learning events, and social interaction and reading. The study concludes with a range of observations on the power of reading in assisting entrepreneurs to develop resilience and behaviours for coping with the challenges and crises which are an integral aspect of entrepreneurial activity.
Zagadnienia Ekonomiki Rolnej Problems of Agricultural Economics

In the case of all farms, the issue of profitability achieved is crucial. The effectiveness of production factors involved, including labour, shapes income in agriculture to a large extent. Thus, the increase in the productivity of the labour factor determines the increase in the labour profitability. On the grounds of classical microeconomic relationships, it can be pointed out that the increase in farm income, which is the remuneration of the labour factor, can take place, ceteris paribus, with the increase in production. Assuming the permanence of labour factor inputs in the long term, the source of production growth should, in turn, be the increase in the labour productivity. The objective of the paper is to identify differences in the impact of labour productivity on farm income, with the dominance of family labour force and on farms with a dominance of paid labour force in Poland. The results presented may serve as a basis for concluding on the income situation of farms depending on the type of labour factor involved. The study will use the FADN data from 2009-2015 for Polish farms. The impact of labour productivity on farm income will be analysed using the propensity score matching method.
Floristic composition and richness of the vascular flora of Mangomarca’s fog oasis, Lima, Peru, from 2013 to 2014

Fog oasis is an ecosystem composed of abundant and seasonal xerophilous herbaceous vegetation, which are exclusively distributed as vegetation patches throughout the coastal deserts of Peru and Chile. Fog oases present a great floristic diversity, with many endemic species within the Peruvian territory. Nevertheless, these ecosystems are classified as fragile due to their decreasing surfaces, caused by urban growth. It is necessary to investigate the variation in species composition of their altitudinal gradients in order to understand their biogeography and ecology, thereby contributing to plans of conservation. The present study determined the floristic composition of the vascular flora of the Mangomarca’s fog oasis during the 2013‐ 2014 period. We examined the different altitude ranges, and determined whether altitude in those ranges shapes species richness and composition. We recorded 53 species, 86.8% of which were native and 22.6% endemic. The vast majority were herbaceous species (74% of the total species), and only one tree species was identified, Vasconcellea candicans (Caricaceae). The altitude range of 500‐650 meters above sea level presented the highest richness (41 species). There were 16 species distributed in the three altitudinal ranges examined.
Fisher-Type Fixed Point Results in b-Metric Spaces

In this paper, we prove some common fixed-point theorems for two self-mappings in the context of a complete b-metric space by proposing a new contractive type condition. Further, we derive a result for three self-mappings in the same setting. We provide two examples to demonstrate the validity of the obtained results.
The role of verb fluency in the detection of early cognitive impairment in Alzheimer ' s disease

Citation for published version: Alegret, M, Peretó, M, Pérez, A, Valero, S, Espinosa, A, Ortega, G, Hernández, I, Mauleón, A, RosendeRoca, M, Vargas, L, Rodríguez-Gómez, O, Abdelnour, C, Berthier, ML, Bak, TH, Ruíz, A, Tárraga, L & Boada, M 2018, 'The role of verb fluency in the detection of early cognitive impairment in Alzheimer's disease', Journal of Alzheimer's Disease, vol. 62, no. 2, pp. 611-619. https://doi.org/10.3233/JAD-170826
The role of verb fluency in the detection of early cognitive impairment in Alzheimer's disease

Citation for published version: Alegret, M, Peretó, M, Pérez, A, Valero, S, Espinosa, A, Ortega, G, Hernández, I, Mauleón, A, RosendeRoca, M, Vargas, L, Rodríguez-Gómez, O, Abdelnour, C, Berthier, ML, Bak, TH, Ruíz, A, Tárraga, L & Boada, M 2018, 'The role of verb fluency in the detection of early cognitive impairment in Alzheimer's disease', Journal of Alzheimer's Disease, vol. 62, no. 2, pp. 611-619. https://doi.org/10.3233/JAD-170826
Frontiers International Conference on Wastewater Treatment (FICWTM)

A Grafical User Interface (GUI) for the greenhouse gas (GHG) emissions from WWTPs based on four models aimed at quantifying the gas emissions from the aerated tanks (i.e. CAS and MBR reactor), aerobic digesters, secondary clarifiers and anaerobic digesters have been englobed in a GUI in order to provide a valid decision support system (DSS) to the practitioners. The GUI allows to estimate such emissions for the different WWTP phases considered. The GUI has been developed on MATLAB platform and provides as output the GHG emissions in terms of CO2 and N2O fluxes.
Frontiers International Conference on Wastewater Treatment (FICWTM)

Recent studies about greenhouse gas (GHG) emissions show that sewer collection systems and wastewater treatment plants (WWTPs) are anthropogenic GHG potential sources. Therefore, they contribute to the climate change and air pollution. This increasing interest towards climate change has led to the development of new tools for WWTP design and management. This paper presents the first results of a research project aiming at setting-up an innovative mathematical model platform for the design and management of WWTPs. More specifically, the study presents the project’s strategy aimed at setting-up a plant-wide mathematical model which can be used as a tool for reducing/controlling GHG from WWTP. Such tool is derived from real data and mechanicistic detailed models (namely, Activated Sludge Model’s family). These latter, although are a must in WWTP modelling, hamper a comprehensive and easy application due to complexity, computational time burdens and data demanding for a robust calibration/application. This study presents a summary of the results derived from detailed mechanistic models which have been applied to both water and sludge line of a WWTP: primary treatment, biological reactor, secondary settler, membrane bioreactor, sludge digester etc. The project is organized in overall four research units (RUs) which focus each on precise WWTP units.
Sistema de Recuperación de Sincronismo para el modo Wide Swath de ENVISAT

El presente proyecto tiene como objetivo el diseno e implementacion del sistema de recuperacion de sincronismo de PRF que sera utilizado en la version aerotransportada de SABRINA. El objetivo final es que el futuro prototipo sea capaz de adquirir de forma eficiente la senal SAR recibida. Ademas, se desea que el sistema pueda trabajar con sistemas que operan en modo ScanSAR. Por ello, el sistema de recuperacion de sincronismo es presentado para los modos WSM (Wide Swath Mode) e IM (Image Mode) de ENVISAT, sirviendo asi de base para su utilizacion en otros sistemas ScanSAR y StripMap, respectivamente.
An application of genetic algorithms and BDDs to functional testing

This paper describes a functional level rest pattern generator, which combines two techniques: genetic algorithms (GAs) and binary decision diagrams (BDDs). The combined execution of such two techniques achieves better results for functional testing, than the single application of each separated technique. The entire set of functional errors is examined in a shorter time and a more compact test set is produced. The reason of this interesting result has been analyzed in the paper. It mainly depends on the fact that hard to detect errors for GA-based testing techniques are easy to detect than errors for BDD-based techniques and vice versa. The two testing approaches are thus complementary and can effectively cooperate.
The Method of Household Adjustable Electricity Prediction Based on Maximum Mean Discrepancy

As electricity market reforms continue and households consume more electricity, Household Electricity Response (HER) becomes an essential part of Demand Response (DR). The ability of households to adjust their electricity demand is a critical factor in evaluating the demand-side response capacity of the power systems. Therefore, a prediction method of household adjustable electricity (HAE) based on cross-domain generalization is proposed to solve the problem. In our method, the convolutional neural networks (CNNs) model with Maximum Mean Discrepancy (MMD) loss term is constructed to realize the goal, which improves the accuracy and generalization of HAE prediction in different regions and provides technical support for DR.
High Frequency Trading : A Simulation

for t = 1, . , N . σ represents the volatility of the price, and ξk ∼ N (0; 1). ht represents the net sale volumes of all liquid providing HFT funds. g(v) is the price impact function, which we will discuss later. Based on findings by the Federal Commodity Futures Trading Commission (CFTC) [3], we model the price impact of HFTs using the volume of net trades from HFTs scaled by its percentage in overall trading volume (denoted as vt in Eq. 1). We also establish a drifting factor in our model δ, which represents the directional change of price due to market conditions, external sell pressures, etc. In the following content, we define a market crash as a change of price in 10% or more in a 30-minute period.