Miracle-dz/UniFAR-FTUs huggingface dataset:
Airway Pressure in Patients With Chronic Heart Failure With Coexisting Effect of Flow-Triggered Adaptive Servo-Ventilation Compared With Continuous

American Heart Association. All rights reserved. Print ISSN: 1941-3289. Online ISSN: 2010 Copyright © TX 72514 Circulation: Heart Failure is published by the American Heart Association. 7272 Greenville Avenue, Dallas, DOI: 10.1161/CIRCHEARTFAILURE.109. 868786 2010;3;140-148; originally published online November 20, 2009; Circ Heart Fail Koji Narui, Tetsu Yamaguchi, Akira Yamashina and Shin-ich Momomura Takatoshi Kasai, Yasuhiro Usui, Toru Yoshioka, Naotake Yanagisawa, Yoshifumi Takata, Obstructive Sleep Apnea and Cheyne-Stokes Respiration Positive Airway Pressure in Patients With Chronic Heart Failure With Coexisting Effect of Flow-Triggered Adaptive Servo-Ventilation Compared With Continuous http://circheartfailure.ahajournals. org/content/3/1/140.full on the World Wide Web at: The online version of this article, along with updated information and services, is located
USE OF FAMILY APPROACH TOOLS IN THE FAMILY HEALTH STRATEGY

Objective: To describe the experience of the use of family approach tools after diagnosis of mouth cancer in one of its members. Data synthesis: Qualitative descriptive case study carried out in the first half of 2014 in a Family Health Strategy in Montes Claros, Minas Gerais, Brazil. Family approach tools were used to identify family structure and the ability to cope with the disease. This approach allowed us to know the family, monitor the treatment of the patient with mouth cancer and establish a trustful relationship between the family and the healthcare team, highlighting its importance in supporting families with diseases that are difficult to manage. Conclusion: The use of family approach tools allowed us to know the life context of the people involved, monitor the results of the sick patient and establish a bond and a trustful relationship between the family and the healthcare team. Descriptors: Primary Health Care; Family Health Strategy; Case Studies.
Trajectory Computation of Mobile Data Collectors in Wireless Sensor Networks

Sensors are used to monitor the physical environment. Sensors have limited energy supply. However a sensor network is expected to be functional for a long time. Thus optimizing the energy consumption to prolong network lifetime is an important issue. In static sensor networks, sensors closer to the base station die first because they send their own data, and also forward data from other sensors located farther away from the base station. The residual energy of sensors can be balanced by using Mobile Data Collectors (MDCs) or mobile nodes to prolong the lifetime of Wireless Sensor Networks (WSNs). In this survey, we review the research on trajectories followed by MDCs in order to extend the network lifetime. We divide trajectories into three groups: dynamic or multiple trajectories, fixed or predictable trajectories and numerical trajectories (math curves).
Inheritance Pattern of Quantitative Characters in Brassica napus

The genetic basis of variation in five varieties/lines of Brassica napus L. was examined. The parents were crossed in all possible combinations. The response of 20 F1 hybrids and the five parents were studied till maturity. At maturity, data on number of pods per plant, number of seeds per pod, 1000 seed weight and seed yield per plot was recorded. Analysis of variance of the means of 25 families showed highly significant differences for these four characters. The two scaling tests i.e. joint regression analysis and analysis of (Wr + Vr) and (Wr-Vr) suggested that the genetic model was fully adequate for number of pods per plant, number of seeds per pod, 1000 seed weight and seed yield per plot. The estimated components of variation revealed that affects of the genes showing dominance properties were more pronounced than those of additive genes. Estimates of narrow sense heritability of number of seeds per pod were very low, suggesting that selection of desirable plants should be delayed till later generations. While in number of pods per plant, 1000 seed weight and seed yield per plot, the narrow sense heritability was in medium range.
Categorizing Married Couple Expected Employment Prioritization in the Post-Recession United States

This paper focuses on one possible influence of the Great Recession on family life, the expected level of support for relocation due to job opportunity. Using unique data from 116 married individuals in the United States, married couples are categorized by expectations for employment prioritization. Couples are categorized as egalitarian (reporting equal willingness to relocate in support of either spouse’s employment), traditional (reporting greater willingness to relocate in support of the husband’s employment), or non-traditional (reporting greater willingness to relocate in support of the wife’s employment). Analyses reveal significant differences in the factors correlated with being categorized as egalitarian, traditional, or nontraditional. Couple history, measured as marital duration and previous career prioritization, and husband’s human capital characteristics (education and occupational prestige) are the main factors that distinguish among the couple types. The analysis provides insight into the ways couples renegotiate gender and power vis-à-vis their interaction with structural constraints.
Study of Mobile Ad hoc Network Routing Protocols in Smart Environment

The two primary strategies for designing any wireless network are Protocol Selection and Path Routing. The protocol selected in the network should be the best, in terms of data integrity and data delivery. Therefore, before selecting any protocol, we should analyze its performance. The main problem with most of the routing protocols is that, they rely on mobile nodes and based on the assumption that nodes will corporate or behave appropriately but there might be circumstances where some particular set of nodes may not cooperate appropriately. Most of the MANET protocols becomes ineffective and presents the declined performance while mitigating with large number of malicious nodes. Such set of malicious nodes interrupt the data flow, but support the flow of route discovery traffic, causing the protocol to select another route or to restart the route discovery process. There are various types of attacks in network like Impersonation Attack, Selfish Node Misbehaving, Denial of Service (Dos), Routing Table Overflow Attack, Flooding Attack, Sybil Attack, Black Hole Attack, Wormhole Attack.etc. Hence to deal with such types of attack mobile ad Hoc network must have an effective and better security mechanism. In this paper various research gaps have been summarized for different MANET algorithms along with their performance in recent years.
Supplementary Material for Paper “ Emotion-Aware Human Attention Prediction ”

Sentiment classification is an important part of the proposed Emotion-Aware Saliency model (EASal). In the design of the object sentiment classifier, we collected the positive and negative emotion-evoking, and emotionally neutral objects from EMOtional attention Dataset (EMOd) [4] and COCO attributes [11] dataset based on their object-level attributes. EMOd is a human attention dataset focusing on emotional images. The objects in EMOd have sentiment labels (either positive, negative, or neutral). The COCO attribute dataset (COCO attributes) provides 169 object-level visual attributes.
THE INFLUENCE OF BLOGS ON ENGLISH ORAL PROFICIENCY 2 This Graduate Field Experience

This research investigated the effect of blogging on oral proficiency in English Language Learners (ELLs). Specifically, the study aimed to prove that participation in written blog posts would transfer to increased speaking proficiency as determined by three measures of oral proficiency. These measures were 1) established scores on the WAPT Speaking Test, 2) average length of utterances and 3) time to produce an effective response on the W-APT. The researcher worked with eight participants who were ELLs at language proficiency levels one through five on a six-point scale at the start of the study. The results indicated that blogging increased scores for all three measures of oral proficiency, with the most notable gains in time to produce an effective response and average length of utterances. THE INFLUENCE OF BLOGS ON ENGLISH ORAL PROFICIENCY 5 Table of
Studies on SERO – Epidemiology and Socio-Demographic factors In Hepatitis B Virus Infection And Syphilis In Calabar , Nigeria

Sexually transmitted infections (STIs) such as Hepatitis B and Syphilis are considered important public health problems worldwide and they share similar route of transmission. This study was carried out to assess the seroprevalence of Hepatitis B surface antigen (HBsAg) and syphilis antibodies in the blood samples of persons living in the Calabar metropolis. A total of 422 subjects were recruited through convenience sampling method. Serum from these subjects were screened for HBsAg and syphilis antibodies using one step HBsAg test strip and ultra-rapid test strip (Acon laboratory, USA) respectively. Syphilis antibodies were confirmed using qualitative TreponemapallidumHemaglutination (TPHA) test kit (Spin react, S. A. Spain). The prevalence of HBsAg was 5% and Syphilis 1.4% . The rate of infection was higher in males than in females for both HbsAg and syphilis 6.7% vs 3.0% ; 1.8% vs 1% though with no significant difference (p>0.05). The age group 40 – 49 years in HBsAg had the highest prevalence of 15.6%, while the lowest prevalence of 2.7% was found in the age group 20-29 years. With regard to marital status, the higher prevalence of 8.5% (9/108) was found among married subjects for HBsAg , but with no significant difference (P>0.05) between marital status groups. Secondary school level of education was associated with high infection rate of 9.6% for HBsAg and 4.3% for syphilis ; but infection rates were generally comparable (p>0.05) among the educational levels. Civil servants had the highest prevalence of HBsAg of 13.0% (9/69) among the occupational groups (p>0.05). The results of this study has shown that there is a low prevalence of Hepatitis B and syphilis in Calabar . However control measures should be put in place through enlightened campaigns on the mode of transmission of these diseases to completely eradicate them. -------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 04-02-2019 Date of acceptance:22-02-2019 --------------------------------------------------------------------------------------------------------------------------------------
Risk Perception , Social Support , and Alcohol Use among U . S . Adolescents

We proposed a conceptual model hypothesizing that, among U.S. adolescents, risk perception and social support are negatively associated with alcohol consumption, and that risk perception mediates the effects on alcohol use of conversation with parents and drug/alcohol education. We tested the model using a national sample of adolescents (N = 19,264) participating in the 2011 National Survey on Drug Use and Health (NSDUH). We found that higher risk perception and social support are associated with lower alcohol consumption; risk perception partially mediates the relationship between conversation with parents and alcohol use, and the relationship between drug/alcohol education and alcohol use; conversation with parents is more effective in increasing risk perception than drug/alcohol education. Study implications were discussed.
Procedural Historic Building Information Modelling (HBIM) For Recording and Documenting European Classical Architecture

Procedural Historic Building Information Modelling (HBIM) is a new approach for modelling historic buildings which develops full building information models from remotely sensed data. HBIM consists of a novel library of reusable parametric objects, based on historic architectural data and a system for mapping these library objects to survey data. Using concepts from procedural modelling, a new set of rules and algorithms have been developed to automatically combine HBIM library objects and generate different building arrangements by altering parameters. This is a semiautomatic process where the required building structure and objects are first automatically generated and then refined to match survey data. The encoding of architectural rules and proportions into procedural modelling rules helps to reduce the amount of further manual editing that is required. The ability to transfer survey data such as building footprints or cut-sections directly into a procedural modelling rule also greatly reduces the amount of further editing required. These capabilities of procedural modelling enable a more automated and efficient overall workflow for reconstructing BIM geometry from point cloud data. This document outlines the research carried out to evaluate the suitability of a procedural modelling approach for improving the process of reconstructing building geometry from point clouds. To test this hypothesis, three procedural modelling prototypes were designed and implemented for BIM software. Quantitative accuracy testing and qualitative end-user scenario testing methods were used to evaluate the research hypothesis. The results obtained indicate that procedural modelling has potential for achieving more accurate, automated and easier generation of BIM geometry from point clouds.
Using a GEOBIA framework for integrating different data sources and classification methods in context of land use / land cover mapping

Land use/land cover (LULC) maps are important datasets in various environmental projects. Our aim was to demonstrate how GEOBIA framework can be used for integrating different data sources and classification methods in context of LULC mapping. We presented multi-stage semi-automated GEOBIA classification workflow created for LULC mapping of Tuszyma Forestry Management area based on multi-source, multi-temporal and multi-resolution input data, such as 4 bandsaerial orthophoto, LiDAR-derived nDSM, Sentinel-2 multispectral satellite images and ancillary vector data. Various classification methods were applied, i.e. rule-based and Random Forest supervised classification. This approach allowed us to focus on classification of each class ‘individually’ by taking advantage from all useful information from various input data, expert knowledge, and advanced machine-learning tools. In the first step, twelve classes were assigned in two-steps rule-based classification approach either vector-based, orthoand vector-based or orthoand Lidar-based. Then, supervised classification was performed with use of Random Forest algorithm. Three agriculture-related LULC classes with vegetation alternating conditions were assigned based on aerial orthophoto and Sentinel-2 information. For classification of 15 LULC classes we obtained 81.3% overall accuracy and kappa coefficient of 0.78. The visual evaluation and class coverage comparison showed that the generated LULC layer differs from the existing land cover maps especially in relative cover of agriculture-related classes. Generally, the created map can be considered as superior to the existing data in terms of the level of details and correspondence to actual environmental and vegetation conditions that can be observed in RS images.
Identifying Factors Affecting Mobile Advertising Based On Consumer Attitude

Mobile advertising can be defined as the transmission of message related to products, services and opinions for promotional purposes via mobile devices. The study aims to review ten different models of mobile advertising based on consumer attitude in different scopes. A discussion was developed by authors based on findings to make a clear image about the factors that affect consumer attitude towards mobile advertising and for this purpose a classification of the factors affecting consumer attitude towards mobile advertising was proposed. A number of papers were selected by authors that cover different models. Specific criteria were followed when looking for the papers, since the models should focus on mobile advertising. Apart from that, the papers must be written in English language and discarded other papers which written in other languages.
MEASURES OF POLITICAL INSTABILITY IN MULTIPARTY GOVERNMENTS : A NEW DATA SET WITH ECONOMETRIC APPLICATIONS

The multidimensional nature of political instability requires several political indicators and measures to be collected and used in the econometric analysis of the interactions between instability and economic performance. The data set presented in this paper contains time-series for 30 political measures, covering the whole post-war era in 14 countries with significant experiences of coalition governments. Two econometric applications that make use of the indicators contained in the data set are presented. The first one is a statistical analysis of the determinants of cabinet duration. The second one is an investigation of potential political determinants of government consumption expenditure. It appears that the economic cycle significantly affects the probability of government collapse and that the ideological orientation of the cabinet does influence the level of public expenditure. Fabrizio Carmignani, Department of Economics, Adam Smith Building, University of Glasgow, Glasgow G12 8RT, UK Email: 9322561c@student.gla. ac.uk 1 I would like to thank Julia Darby, Anton Muscatelli and Ulrich Woitek for helpful discussion. I also received valuable comments from Nick Braun, Patrizio Tirelli, Carmine Trecroci and participants at workshops at Glasgow University.
A fractional response approach to poverty decomposition

This paper proposes a new empirical framework for poverty accounting. Using a large collection of household surveys from 124 countries, we estimate income and inequality (semi-)elasticities of poverty for the $2 and $1.25 a day poverty lines as well as their contributions to poverty alleviation. We show that initial inequality is a strong moderator of the impact of growth and there has been a shift towards more pro-poor growth around the turn of the millennium. We project poverty rates until 2030 and show that an end of extreme poverty within a generation is unlikely.
Real-Time Stability Assessment in Mid-Sized Fishing Vessels

Fishing is one of the most dangerous occupations worldwide. Most of the accidents involving mid-sized fishing vessels are due to static and dynamic stability failures, and one of the main reasons is the crew lack of training in these matters. If stability guidance systems want to be used in this type of vessels, they have to fulfil three main requirements: they have to be based on simplicity, they have to be very easy to use and to interact with and their installation and maintenance have to be inexpensive. Within this framework, the authors proposed their own alternative, consisting on an onboard stability guidance computer system. In this paper, some alternatives for overcoming the main drawback of this system, which is the manual interaction with the crew, are presented. A methodology based on the frequency analysis of the ship roll motion, together with an estimation of roll inertia applying a breakdown method is proposed for determining the vessel intact stability levels in an automatic and unattended way. The performance of this methodology has been verified using data from a towing test campaign of a mid-sized stern trawler, showing accurate results.
DYNAMIC REPRESENTATION OF FINANCIAL RATIOS: A DESIGN AND EMPIRICAL TEST

by LIN ZHAO Information is often multidimensional and dynamic, which makes it difficult to communicate using traditional representations such as verbal descriptions or even graphics. However, the development of advanced visualization technology allows the creation of more effective representations. By taking a distributed cognition perspective and integrating several theories of visualization, this study formulated a theoretical model to examine the effects of information representation on a classic business decisionmaking task: bankruptcy prediction. The use of an animated visualization to represent dynamic information was compared with conventional tables and graphs. Findings from accounting and information systems literature were used to guide the design of the animated representation, Business Animator. A laboratory experiment using factorial design was conducted to test the model, with participants being randomly assigned to view a static representation (table or graph) or Business Animator, and then to make bankruptcy predictions for thirteen firms. Accuracy and speed were measured. The results showed that animated representations were more accurate than static representations with the advantage being unrelated to the subject’s level of domain knowledge; however, they were not significantly superior in terms of speed. Post hoc interviews indicated the subjects preferred the animations but also
EXTENDED METHODOLOGY FOR ANALYSING THE FLOW MECHANISMS INDUCED BY CASING TREATMENT IN COMPRESSOR

The present paper develops a methodology to uncover the physical mechanisms of casing treatments in compressors. The current method is a generalization of the approach originally proposed by Shabbir and Adamczyk (2005). It is based on a budget analysis of the Navier Stokes set of (un)steady equations allowing the understanding and the quantification of complex flow mechanisms such as those induced by casing treatments. The second issue of the paper focuses on the application of the current approach to better understand the physical effects induced by circumferential grooves on a transonic compressor. The well-known test case NASA Rotor 37 is numerically tested for the application of the casing treatment. Results of budget analysis of the axial and radial momentum reveal that the tip flow of the smooth casing is strongly influenced by its radial velocity component. It is mainly due to (i) the tip leakage flow, which is easily controlled by the grooves, and (ii) the shock wave with concave shaped casing. NOMENCLATURE Symbols A = [Ar, Aθ, Az] T [m] surface area of a grid cell Er [J.kg−1] relative energy Fcen [N.kg−1] Centrifugal force Fcor [N.kg−1] Coriolis force Fk2, Fk4 2 nd and 4th order numerical scalar artificial dissipation fluxes h [m] distance from the hub H [m] height of the vein Ps [Pa] static pressure q = [qr, q theta, qz] T [J.m−2.s−1] heat flux vector R numerical modelling residual Rpi [-] total-to-total pressure ratio r, θ, z [-] cylindrical coordinates t [s] time V [m] volume of the control domain V = [Vr, Vθ, Vz] T [m.s−1] absolute velocity W = [Wr,Wθ,Wz] T [m.s−1] relative velocity Greek letters ηis [-] isentropic efficiency γ [-] specific heat ratio μ [Po] molecular dynamic viscosity ω [rad.s−1] rotation speed φ [-] normalized massflow ρ [kg.m] density α [◦] absolute flow angle τ [Pa] sum of the viscous and turbulence stress tensor Acronyms CT Casing Treatment SW Smooth Wall (U)RANS (Unsteady) Reynolds Averaged INTRODUCTION Today, it is mandatory for compressor designers to improve performance in terms of efficiency and operating range characterized by the stall margin. One of the main difficulties encountered in this process is that compressor stall is not always controlled through normal aerodynamic design.