Miracle-dz/UniFAR-FTUs huggingface dataset:
Using Medical Academic English Corpus for Postgraduates Students Academic Writing Training

This paper reports on the use of personal do-it-yourself medical academic corpora by postgraduate students for academic writing. Thirty-five graduate students in medicine attended our course in which they learn to build and use their self-compiled corpora of research articles to train themselves in academic writing. At the end of the course, they completed some questionnaires, which asked about their use of corpora in and after class, and six months after the course, they completed some similar email questionnaires, which asked about their corpus use six months later. Some personal interviews were also conducted for users and nonusers. This paper also discusses reasons behind this change in the use of DIY corpora, and advocate some measures should be taken to encourage the long-term use of corpora and some of the challenges to be overcome for more widely use of the approach in the future.
Approaches to Automatically Constructing Polarity Lexicons for Sentiment Analysis on Social Networks

ii Dedication . iii Acknowledgements . iv Vita . v List of Tables . ix List of Algorithms . x List of Figures . xi Chapter 1: Introduction . 1 1.1. Sentiment Analysis . 1 1.2. Social Networks . 2 1.3. Twitter Sentiment Analysis . 2 1.4. Research Challenges . 3 Chapter 2: Related Work . 5 2.1. Lexicon-Based Approach . 5 2.2. Machine-Learning-Based Approach . 6
New Empirical Strategies to Model the Government Formation Process

Over the past decade, a “standard approach” to the quantitative study of government formation has developed. This approach involves the use of a conditional (CL) logit model to examine government choice with the government formation opportunity as the unit of analysis. In this paper, we reconsider this approach and make three methodological contributions. First, we demonstrate that the existing procedure used to test for the independence of irrelevant alternatives (IIA) is flawed and severely biased against finding IIA violations. Our new testing procedure reveals that many government alternatives share unobserved attributes, thereby violating the IIA assumption and making the CL model inappropriate. Second, we employ a mixed logit with random coefficients that allows us to take account of unobserved heterogeneity and IIA violations. Third, we return to a question that originally motivated this literature, namely, what determines the likelihood that a particular party enters government? Although scholars have generally abandoned this question due to perceived methodological limitations in our ability to address it, we demonstrate that calculating probabilities for parties entering office rather than governments is straightforward in a mixed logit framework.
Evaluation of the Antimicrobial Activity of Tribulus terrestris, Allium sativum, Salvia officinalis, and Allium hirtifolium Boiss Against Enterococcus faecalis

Background: Enterococcus faecalis is a Gram-positive, commensal bacterium which can cause life-threatening infections in humans. E. faecalis has been frequently found in root canal-treated teeth and is resistant to many commonly used antimicrobial agents. Nowadays modern medicine recognizes herbalism as a form of alternative medicine. Tribulus terrestris, Allium sativum, Salvia officinalis and Allium hirtifolium Boiss are commonly found in Iran and used as antimicrobial agents in folklore medicine. Objectives: In this study, antimicrobial activities of aqueous extracts of some plants were examined in vitro against E. faecalis. Materials and Methods: Antibacterial activities of the extracts of T. terrestris, A. sativum, S. officinalis and A. hirtifolium Boiss were examined using disc and well diffusion methods, and the19 minimum inhibitory concentration (MIC) of aqueous extracts were determined against E. faecalis using agar and broth dilution methods. Results: The obtained results showed that the extract of A. hirtifolium Boiss inhibited the growth of E. faecalis (MIC of 10 mg/mL). Other plants had no effect on the target bacterium. Conclusion: According to the best effect of A. hirtifolium extract on E. faecalis and stability of this extract in thermal condition, we may purify this extract and use it for treatment of infections.
Modelling of the in-plane behaviour of stone masonry panels

Stone masonry walls are the most relevant structural element in the seismic response of a masonry building. Once the out-of-plane mechanism are adequately prevented, the seismic response of a building depends on the in-plane strength capacity of its walls. This paper presents a discussion on the in-plane behaviour of masonry panels with different slenderness ratios and distinct levels of compression load, subjected to shear loading, using advanced numerical simulations. The numerical study is based on an experimental campaign performed at the University of Pavia on stone masonry piers. The calibrated models were also used to carry out parametric analysis varying the geometric wall configuration and the pre-compression level. Distinct walls subjected to different stress levels were assessed and the influence of these parameters on the in-plane behaviour is discussed.
2 Problem Statement and Game-theoretic Formulation 2 . 1 Signalized Roadway Intersection Setting

Road congestion in urban environments, especially near signalized intersections, has been a major cause of significant fuel and time waste. Various solutions have been proposed to solve the problem of increasing idling times and number of stops of vehicles at signalized intersections, ranging from infrastructure to vehiclebased techniques. However, all the solutions introduced to solve the problem have approached the problem from a single vehicle point of view. This research introduces a game-theoretic cooperative speed optimization framework to minimize vehicles’ idling times and number of stops at signalized intersections. This framework consists of three modules to cover individual autonomous vehicle speed optimization; conflict recognition; and cooperative speed decision making. A time token allocation algorithm is introduced through the proposed framework to allow the vehicles to cooperate and agree on certain speed actions such that the average idling times and number of stops are minimized. Simulation to test and validate the proposed framework is conducted and results are reported.
A Crystal-Chemical Framework for Relaxor versus Normal Ferroelectric Behavior in Tetragonal Tungsten Bronzes

Tetragonal tungsten bronzes (TTBs), an important class of oxides known to exhibit ferroelectricity, undergo complex distortions, including rotations of oxygen octahedra, which give rise to either incommensurately or commensurately modulated superstructures. Many TTBs display broad, frequency-dependent relaxor dielectric behavior rather than sharper frequency-independent normal ferroelectric anomalies, but the exact reasons that favor a particular type of dielectric response for a given composition remain unclear. In this contribution the influence of incommensurate/commensurate displacive modulations on the onset of relaxor/ferroelectric behavior in TTBs is assessed in the context of basic crystal-chemical factors, such as positional disorder, ionic radii and polarizabilities, and point defects. We present a predictive crystal-chemical model that rationalizes composition–structure–properties relations for a broad range of TTB systems.
Percutaneous Mitral Valve Repair: is There a Future?

ABSTRA C T Percutaneous mitral valve repair was introduced a few years ago for patients with symptomatic severe mitral regurgitation and can use two different approaches. The first approach is the edge-to-edge technique, which creates a double mitral valve orifice. The second approach is mitral annuloplasty, which is achieved by introducing a constraining device in the coronary sinus located in the vicinity of the mitral annulus. Preliminary results of percutaneous mitral valve repair are encouraging and show the feasibility of these techniques, which though should be carefully evaluated in comparison with surgery and standard contemporary medical treatment.
Investigating the Effect of In Ovo Injection of Silver Nanoparticles on Fat Uptake and Development in Broiler and Layer Hatchlings

Silver nanoparticles (AgNano) as carrier of available oxygen (O2) and with high surface reactivity may increase O2 consumption, enhance fat uptake (FU), and stimulate growth and development. The objective was to investigate the effects of in ovo injection of AgNano on the metabolic rate (O2 consumption, CO2 production, and heat production, HP), fat uptake, and the development of broiler and layer hatchlings. AgNano concentrations (50, 75, and 100 mg/kg) were injected in ovo at day 1 of incubation to different breeds of broiler and layer chicken embryos. Oxygen consumption and subsequently FU did not increase linearly following AgNano treatment. FU was lower in hatchlings treated with 50 and 100 mg AgNano/kg, but surprisingly not in hatchlings treated with 75 mg AgNano/kg. Interestingly, the difference in FU between treatments was not reflected in hatchling development. The results indicated that AgNano affected metabolic rate and FU; however, it did not influence the development of hatchlings. This suggests that in ovo injection of AgNano reduces the need to use yolk fat as an energy source during embryonic development and consequently the remaining fat in the residual yolk sac may provide a potent source of nutritional reserves for chicks of few days after hatching.
The Whig Fable of American Tobacco, 1895–1913

At the beginning of the twentieth century, U.S. tobacco manufacturers were not forging ahead of their leading European counterparts in technology, productivity, or managerial techniques. On some indicators, including per capita cigarette consumption, the United States strikingly lagged. Fiscal discrimination against cigarettes, amplified by the monopoly pricing, strategic choices, and organizational overload of the American Tobacco trust, were among the retarding factors. “Of all things American, nothing is more so than the cigarette. ”Written by an enthusiastic booster of the addiction (with the assistance of the American Tobacco Company) in 1916. See Young, Story, p. 4.
A new species of Laetacara from the northern Brazil coastal floodplains (Teleostei: Cichlidae)

Laetacara flamannellus sp. n. is described from the northern Brazilian coastal floodplains. It differs from all its congeners by a combination of character states: presence of a dark brown or black spot located on dorsal-fin base; presence of a yellow stripe on the middle portion of the dorsal fin, crossing the whole fin; presence of an orange ring around the dorsal-fin base spot; absence of a red pigmentation on belly; absence of a red or purple zone on the anal-fin base; absence of a red zone on the caudal-fin base; cycloid scales on the opercle plate; and trunk scales above upper lateral line with few ctenii. The presence of a deep notch in the dorsal margin of the anterior ceratohyal, often used as diagnostic for Laetacara, is confirmed here for L. flamannellus.
Spectrum Sensing with Combining Spectral Correlation Density for ATSC Signal Detection

In this paper, we propose simple combining schemes for sensing ATSC digital television signals with spectral correlation density (SCD). The detection algorithms exploiting the cyclostationarity exhibited by the pilot of ATSC digital television signals usually use the SCD value at a given particular frequency. However, we found that non-zero SCDs are found to be distributed over a certain range of frequencies in multipath fading environment. To utilize a set of non-zero SCD values computed in the vicinity of the pilot location, we formulate a class of combining methods in analogy with the maximal ratio combining, the square law combining and the equal gain combining. We show that the proposed simple combining schemes improve the detection performance by 0.5~1.0dB under multipath fading environments.
Feeding and growth of infants in Eastern Uganda. Methodological challenges and associated factors

3 Résumé in Lumasaaba. 5 Résumé in Norwegian . 6 Papers included in this thesis. 8 Collaboration. 9 Acknowledgements . 10 Table of content . 12 List of tables, figures and pictures. 14 List of abbreviations . 15 Definitions . 17 Feeding modalities. 17 Anthropometric definitions . 20 Introduction. 21 Perspectives on infant feeding trends and programmes. 21 Infant feeding research . 27 Rationale for an infant feeding study in Mbale. 32 Aim and objectives. 33 Subjects and methods . 34 Theoretical framework of mixed methods . 34 Methods applied. 39 Mixed methods analysis . 50 Ethics . 54 Results. 55 Background characteristics . 55 Feeding and growth of infants in Eastern Uganda 13 Breastfeeding as the primary infant feeding practice. 56 Early infant feeding practices . 57 Assessment of infant feeding modes . 58 Anthropometric characteristics . 62 Wealth and feeding perspecitves. 63 Discussion . 65 Quantiatitive assessments . 65 Qualitative assessment . 71 Mixed methods assessment . 71 Anthropometric assessment. 73 Poverty related issues. 79 Programme and research implications . 80 Conclusion . 84 References. 85 Paper I, II, III and IV
Consistency of the Model Order Change-Point Estimator for GARCH Models

GARCH models have been commonly used to capture volatility dynamics in financial time series. A key assumption utilized is that the series is stationary as this allows for model identifiability. This however violates the volatility clustering property exhibited by financial returns series. Existing methods attribute this phenomenon to parameter change. However, the assumption of fixed model order is too restrictive for long time series. This paper proposes a change-point estimator based on Manhattan distance. The estimator is applicable to GARCH model order change-point detection. Procedures are based on the sample autocorrelation function of squared series. The asymptotic consistency of the estimator is proven theoretically.
Modelling Feedback Effects with Stochastic Liquidity

This paper investigates the interactions between stock price movements, the trading strategies of a large trader, and liquidity. Our framework generalizes the model of Frey by introducing a stochastic liquidity factor. We derive a formula for the feedback effect of the large investor's trading strategy and examine the feedback effects on stock prices for positive and contrarian trading strategies. Features of our model are illustrated using Monte Carlo simulation. The main contribution of this paper is the examination of the price process in an economy with stochastic liquidity, such that liquidity shocks can be captured and their consequences can be analyzed. We observe significant liquidity feedback effects on both the price process of the underlying and the trading strategy of the large investor.
IDENTIFYING BEST TREATMENT FOR DISEASE USING MACHINE LEARNING APPROACH IN RELATION TO SHORT TEXT

The goal of machine learning is to build computer systems that can adapt and learn from their experience. Machine learning helps to integrate the computer system into the healthcare field in order to obtain accurate and best results. Here the system deals with automatic identification of informative sentences from abstracts of published articles by MEDLINE. The main aim here is to integrate the computer based systems into healthcare fields and build an application that is capable of automatically identifying and disseminating disease and treatment related information, further it also identifies the best treatment out of the treatment obtained as a results and providing a helping hand to the doctors in their decision making. The task of identifying best treatment from the multiple treatments found for a given disease is done by using data mining techniques and by calculating the views of different doctors recommending those treatments by using voting method in the system. In Future the proposed system can also be integrated in an application to be used in the medical care domain. The framework's designed is reliable and capable for use in commercial recommender system and it can be integrated in a new Electronic Health Record system
Cloud Computing for Next‐Generation Sequencing Data Analysis

High-throughput next-generation sequencing (NGS) technologies have evolved rapidly and are reshaping the scope of genomics research. The substantial decrease in the cost of NGS techniques in the past decade has led to its rapid adoption in biological research and drug development. Genomics studies of large populations are producing a huge amount of data, giving rise to computational issues around the storage, transfer, and analysis of the data. Fortunately, cloud computing has recently emerged as a viable option to quickly and easily acquire the computational resources for large-scale NGS data analyses. Some cloud-based applications and resources have been developed specifically to address the computational challenges of working with very large volumes of data generated by NGS technology. In this chapter, we will review some cloud-based systems and solutions for NGS data analysis, discuss the practical hurdles and limitations in cloud computing, including data transfer and security, and share the lessons we learned from the implementation of Rainbow, a cloud-based tool for large-scale genome sequencing data analysis.
Asymptotic Solutions of a Semi-submerged Sphere in a Liquid under Oscillations

One of the most widely used techniques to look into transient behaviour of vibrating systems is the KrylovBogoliubov-Mitropolskii (KBM) method, which was developed for obtaining the periodic solutions of second order nonlinear differential systems of small nonlinearities. Later on, this method was studied and modified by numerous scholars to obtain solutions of higher order nonlinear systems. This article modified the method to study the solutions of semi-submerged sphere in a liquid which is floating owing to the gravitational force and the upward pressure of the liquid. This paper suggests that the results obtained for different sets of initial conditions by the modified KBM method correspond well with those obtained by the numerical method.
Exploring the use and users of narrative reporting in the online corporate annual report

This paper explores the use and users of narrative reporting information contained within the corporate annual reports published online by large listed companies on the London Stock Exchange. Broadly, the study was motivated by the increasing supply of narrative reporting information and management commentary in annual reports, and the lack of empirical research investigating the use and users of this information. More specifically, there has been little investigation into who uses information delivered online, and how the users and the information they request may differ from those using hard copy annual reports, particularly where many commentators believe the Internet will become the primary channel for disseminating annual reports in the future. The paper details over 1 million instances where narrative reporting and annual reporting information is successfully delivered to users of the corporate Web sites of 15 UK FTSE 350 companies representing 11 industrial sectors. The most frequent users of the online annual report are private individuals and those registered under ISP, employees and professional investors and creditors. Employees are found to make significantly greater use of narrative reporting information, yet they do not make comparatively greater use of management commentary, suggesting that their focus is aimed at less technical, more summarised information. Consultants and unaffiliated organisations make significantly greater use of narrative reporting information and management commentary, suggesting an interest in understanding the business while lacking an interest in, or comprehension of, financial accounting data. Professional investors and creditors, and accounting firms make significantly fewer requests for both narrative reporting information and management commentary. Overall, the key financial statements, notes and segmental analysis generate the most information requests and summarised, narrative reporting information tends to be more popular with online users than management commentary or more detailed narratives. The results suggest that those with greater experience and expertise in preparing and using financial accounts adopt different information preferences with respect to the online annual report. Although experienced users such as professional investors, creditors and accounting firms use the annual report to download predominantly detailed financial accounting data, the widespread availability and accessibility of the online annual report allows narratives to provide a source of general company information for employees and a wider audience, many of whom would have lacked access to a hard copy annual report.
To Study The Ethanomedicinal servey of Selected family

An ethano botanical study of differant family. The plant is used for the study for ethanomedicinal perpose. The ethnomedicinal data of 20 plants of different family were collected from akola District . These plant part or whole plant is used by peoples as medicinal use. All these plant is used traditional medicinal system of medicine such as ayurveda, The aim of my present research was recorded the indigenous knowledge about part of plant and whole plant is used as medicinal purposes and people should know the Botanical names, common names, and its uses of selected family.
RESEARCH OPINIONS IN ANIMAL & VETERINARY SCIENCES RESEARCH OPINIONS IN ANIMAL & VETERINARY SCIENCES RESEARCH OPINIONS IN ANIMAL & VETERINARY SCIENCES RESEARCH OPINIONS IN ANIMAL & VETERINARY SCIENCES Role of zinc in animal nutrition: A review

Minerals are inorganic substances, present in all body tissues and fluids and their presence is necessary for the maintenance of certain physicochemical processes which are essential to life. Zinc (Zn) is widely distributed throughout the body and plays an essential role in many body processes. A sever deficiency of Zn impairs the productive and reproductive performance of the domestic animals. The aim of this paper is to review the importance of Zn in animals nutrition.
Peculiarities and populations in elliptical galaxies - II. Visual-near IR colours as population indices

As a complement to the data collected and discussed in Paper I of this series, 2MASS near-IR images have been used, in connection with available V light aperture photometry, to derive the colours $V-J$, $V-K$, $J-H$ and $J-K$ within the effective aperture A e : nearly the same complete sample of 110 E-type galaxies is treated. In Paper I these were classified, based on morphological criteria, into the “peculiar” (or Pec ) and “normal” (or Nop ) subsamples. For the Nop subsample, the derived colour indices are tightly related to the galaxy masses, as measured by the central velocity dispersion $\sigma_0$, although with rather small slopes as regards $J-H$ and $J-K$. For the Pec subsample, the $V-J$ and $V-K$ colours behave as UBV and line-indices: part of the objects show blue residuals from the appropriate colour-$\sigma_0$ regression, which is evidence of a younger population mixed with the “normal” one traced by the Nop regressions; the other shows no deviations from the Nop subsample. The distinction among Pec objects between the YP family (NGC 2865 type), and the NP one (NGC 3923 type), is statistically supported, and generally confirmed in specific cases.