Miracle-dz/UniFAR-FTUs huggingface dataset:
Classification Performance of Bio-Marker and Disease Word using Word Representation Models

One of the most important processesin a machine learning-based natural language processing module is to represent words by inputting the module. This can be accomplished by representing words in one-hot form with a large vector size without applying the concept of semantic similarity between words, or by word representation (word embedding) with vectors to represent lexical similarity. This has attracted keen research interest by improving the performance of several natural language processing modelssuch as syntactic parsing and sentiment analysis (also known as opinion mining). In this study, classification performance of Word2Vec, canonical correlation analysis (CCA), and GloVeare tested on a corpus that established using the titles and abstractsof 204,674biomedical articles published in PubMed. Categories include disease name, disease symptom, and ovarian cancer marker.Ovarian cancer markers were used as biomarkers.The classification performance of each word representation model for each category is visualized by mapping the results in two-dimensional word representations using t-distributed stochastic neighbor embedding (t-SNE).
Multigrid algorithm for image reconstruction from Fourier modulus

Two new iterative multigrid algorithms for image reconstruction from Fourier magnitude data are proposed. The first algorithm is based on the error reduction algorithm and the second is based on a quasi-Newton's method. Both algorithms take advantage of a multigrid scheme to speed up the convergence rate of the iterations. Furthermore, they recover more high frequency components of the image than their non-multigrid counterpart. Experimental study has shown the great potential of both algorithms. <<ETX>>
Group 2011-0101 Tempo Detection Using a Hybrid Multi-band Approach

In this paper, a novel tempo detection system is presented, which suggests the use of a hybrid multiband decomposition. The model tracks the periodicities of different signal property changes that manifest within different frequency bands by using the most appropriate onset/transient detectors for each frequency band. In addition, the proposed system applies a novel method to weight tempo candidates. Each contribution is evaluated by comparing the presented system against existing approaches using three different databases that comprises 1638 songs. These databases include the two publicly available database of songs used in the tempo evaluation contest of ISMIR 2004. These songs are used in order to compare the proposed approach against four recent existing approaches and also against the participants of the tempo detection contest of ISMIR 2004. The results show that the presented approach provides an improvement over existing techniques.
FIBROMYALGIA AND THERAPEUTIC EXERCISE

Objective: The purpose of this review is to determine which exercise is the best to reduce the symptomatology of fibromyalgia. Search Strategy: Intervention studies in fibromyalgia were retrieved through searches in the main health-science databases: PEDro, PubMed, Cochrane Plus, ISI (Web of Knowledge), y PsycINFO, and in in publications of the field, Fisioterapia y Cuestiones de Fisioterapia, between March and October 2013. Results: After applying inclusion and exclusion criteria, and analyze the level of evidence, 32 publications were accepted in this review, classified in 5 different categories, depending on the type of activity. They were all randomized clinical trials.
Saving Constraints, Debt, and the Credit Market Response to Fiscal Stimulus

We document that the interest rate response to fiscal stimulus (IRRF) is lower in countries with high inequality or high household debt. To interpret this evidence we develop a model in which households take on debt to maintain a consumption threshold (saving constraint). Now debt-burdened, these households use additional income to deleverage. In economies with more debt-burdened households, increases in government spending tighten credit conditions less (relax credit conditions more), leading to smaller increases (larger declines) in the interest rate. Our theoretical framework predicts that the negative relationship between the IRRF and debt only holds when credit is not restricted. It also predicts that the consumption response to fiscal stimulus is falling in debt and inequality (only during periods of relaxed credit). We perform a series of empirical tests and find support for these predictions. In doing so, we provide context to recent evidence on the debt-dependent effects of government spending by highlighting that the relationship between debt and fiscal effects varies with credit conditions.
RECON Online Working Paper 2007 / 06 The Constitutional Treaty Debates as Revelatory Mechanisms

The purpose of this paper is to examine the media debates concerning ratification of the Treaty establishing a Constitution for Europe (TCE) from the perspective of public sphere research and in view of the decision by the 2007 Brussels European Council to initiate a new intergovernmental conference after the Dutch and French ‘No’ votes on the TCE. The main empirical basis for the paper are the results of an extensive media content analysis of ratification debates in six countries, which has been conducted by the members of the ConstEPS project at the Jean Monnet Chair at the University of Bremen. I will argue that their findings are largely consistent with previous research, but that they highlight for the first time the particular problems affecting the quality and Europeanization of public debates in new EU member states from Central and Eastern Europe. New media coverage of the EU is affected by problems of a lack of professionalisation, training, resources and independence among journalists, a lack of interest in institutional and identity issues combined with a lack of knowledge about the EU, and concerns about a lack of say and status within the EU. Given these problems a genuine mini-Treaty would have been a feasible option, while a full-scale re-launch of a constitutionalisation process would be premature for the foreseeable future. The June European Council has agreed, however, on a Maxi-Treaty, which is likely to lead to new calls for referenda and subsequent frustration as these calls are likely to be ignored. The only solution to the ‘fait accomplit’ syndrome in European integration is to create more opportunity structures for European-wide voting on political representatives and issues.
Quebec Elementary Pre-service Teachers' Conceptual Representations about Heat and Temperature

 Abstract — This article identifies the conceptual representations of 128 students enrolled in elementary pre-service teachers’ education in the Province of Quebec, Canada (ages 19-24). To construct their conceptual representations relatively to notions of heat and temperature, we use a qualitative research approach. For that, we distributed them a questionnaire including four questions. The result demonstrates that these students tend to view the temperature as a measure of the hotness of an object or person. They also related the sensation of cold (or warm) to the difference in temperature, and for their majority, the physical change of the matter does not require a constant temperature. These representations are inaccurate relatively to the scientific views, and we will see that they are relevant to the design of teaching strategies based on conceptual conflict.
Natural Regeneration Under Influence of Sustainable Management Plan in Caatinga

Despite being one of the most heterogeneous Brazilian biomes, regardless of being the least known, the Caatinga is under strong anthropism. In this way the forest management offers techniques that, when used, guarantees the maintenance of the sustainability of the productive system, sustainability that is guaranteed through the resilience of the regenerative stratum. Thus the objective of this work was to evaluate the effect of forest management on natural regeneration in a caatinga area, under different cutting ages. The study was developed in the settlement of the agrarian reform, Brandão III, located in the city of Cuité-PB. To evaluate the natural regeneration, 40 plots measuring 5 × 5 m (25 m2) were randomly allocated within the plots exploited and in the Legal Reserve. All individuals with Circumference at baseline (CNB) ≤ 6 cm and with a minimum height of 0.5m were measured, and distributed in three height classes. A C1: 0.5 m < H < 0.99 m; C2: 1.0 m ≤ H < 1.99 m and C3: H > 2.0 m. The data of density, richness and number of individuals by type of regeneration origin were compared by the Tukey test at 5% significance. We sampled 2021 individuals, represented by 32 species, 27 genera distributed in 16 families. The exploration did not cause significant changes to the floristic composition nor to the richness of the species. The exploration and the time elapsed between the cut and the measurement influenced the increase of the density.
A STUDY OF INDIVIDUALS PRIVACY CONCERNS AND THEIR INTENTION TO PROVIDE PERSONAL HEALTH INFORMATION

The purpose of this study is to investigate the relationships between personal concern for information privacy (CFIP) and the intention to provide personal information (PHI) in the EMR context. A survey was conducted in Taiwan and the results of this survey reveal that five out of six hypotheses are supported. The most interesting thing is that the direct effect between CFIP and intention to provide PHI is not significant in EMR context.
Domain Estimation and Successive Difference Replication

Abstract Successive Difference Replication (SDR) is a variance estimation method originally used for systematic samples, which is applied to complex surveys at the U.S. Census Bureau, including the Current Population Survey. Often we are interested in estimates for domains or subpopulations. In practice, replicate factors are assigned to the full sample. For SDR variance estimation of an estimated domain total, we use a subset of the full replicate factors. The subsetting of the domain on the sorted full data translates to a skip pattern. The effects of different skip patterns on the SDR variance error are examined in this paper via ideal superpopulation models and a simulation study.
Japanese Work Organization and the Transformation of Work ? Japanese Management / Lean Production

Introduction During the 1980s and 1990s one debate crossing the disciplines of political economy, sociology and labour studies was whether a fundamental break was taking place away from the era of ‘Fordism’. Although isolated internationally for decades, the notion of ‘post-Fordism’ had great resonance within South Africa, especially during the period of democratic transition. In particular, the policy recommendations of the Industrial Strategy Project (Joffe et al 1995) that developed post-apartheid industrial policy came to be influenced by post-Fordist work organization methods associated with Japanese Management Techniques (JMTs). What was suggested was that practices such as multi-skilling, teamworking, and worker involvement initiatives could help chart a ‘high road’ for industry — benefiting not just productivity but redressing South Africa’s legacy of poor human resource development and a racially skewed labour market.
Response Error : Correlation between Estimation and Episodic Recall Tasks

The term "error" as used in the field of survey methodology has been defined as "the difference between a survey estimate and the value which is estimated" (Hansen, et al., 1951). Several factors throughout the survey process can contribute to the level of error. These factors include the questionnaire topic and question wording, the interviewer's behavior, the respondent's ability to perform the task adequately, and the quality of the post data collection processes including coding, keying, and analyzing the data. The goal of the present work is not to reiterate a discussion of the various components of total survey error, but rather to focus on one source of error, the respondent, and attempt to understand the reasons for his or her inability to report factual information accurately. Survey respondents are asked to complete several types of cognitive tasks during the course of an interview. These cognitive processes include understanding a question, retrieving relevant information, making judgements, and formulating a response. Not only are the cognitive processes diverse, but the types of questions are numerous. Within one interview a respondent may be asked factual or opinion questions, open or closed ended questions, and questions which reqUire subjective comparisons or estimation.
Financial Leverage and Firm ’ s Value : A Study of Selected Firms In Negeria

The main objective of this study is to determine the relationship between financial leverage and firms’ value, as well as evaluate the effect of financial leverage on firms’ value. A sample of 5 firms listed on Nigerian Stock Exchange (NSE) for a period of 6 years from2007-2012 was used. Data were sourced from annual reports of selected firms. The Ordinary Least Square (OLS) statistical technique was used for data analysis and hypothesis testing. The study revealed that there is significant relationship between financial leverage and firms’ value and that financial leverage has significant effect on firms’ value. The study concludes that financial leverage is a better source of finance than equity to firms when there is need to finance longterm projects. However, various economic factors may have despicable effects on the profitability of Nigerian firms, as such the use of debt financing in such firms may yield negative impact such as bankruptcy as well as low firm value. The study therefore recommends that financial leverage be optimized by firms to aid maximization of firms’ value.
1 Consequences of Mill Closures , Parcelization , and Wood-to-Energy Expansion for the U . S . South ’ s Wood Supply Chain

Abstract -The U.S. South’s wood supply chain has lost 30% of its sawmills and nearly 20% of its pulpmills since the 1990s. At the same time, the South experienced population pressures that led to parcelization of timber tracts and reduced harvest tract sizes. Today, the wood-energy market is gaining traction and may provide a substantial market for wood fiber in the future. We conducted a survey of consulting foresters to determine how mill closures and changes in land ownership have impacted southern forestry and how consulting foresters expect the wood-energy market to impact landowners, mills, and foresters. Our findings suggest that inadequate timber markets exist at present because of an increase in timber supply and reduced forest products industry capacity. Ninety-four percent of respondents have observed mill closures or capacity reductions in their area and 91% of respondents believe that mill closures have negatively impacted the profitability of their timber sales. Fifty-five percent of respondents have observed an expansion of the wood-energy market in their state; and while only 12% of respondents have sold timber to a wood-energy facility, 98% of respondents suggested their clients are willing to do so. Ninety-five percent of responding foresters reported an average harvest tract size over 40 acres in 1999, while only 47% of respondents expected an average harvest tract size of more than 40 acres in 2019. Our findings suggest that the southern wood supply chain is in position to profit from a vibrant wood-energy market; however, reduced forest products industry capacity and parcelization are areas of concern for the southern wood supply chain.
Evaluation of Two Treatment Modalities forPatients with Combination Syndrome Suffering FromNarrow Anterior Maxilla

Background: The success of a single maxillary denture in Combination syndrome relies on the principles of retention, stability and support. Severely resorbedmaxillary edentulous ridges that are narrow and constricted with increased inter ridge space will affect this success.Subjects and Methods: Ten patients with a Combination syndrome suffering from narrow anterior maxilla and mandibular Kennedy Class I were included in this prospective clinical study. Patients were randomly divided into two groups. Group I received four Xive implants supported and retained complete maxillary overdenture with the anterior maxilla augmented with autogenous bone block chin graft. Group II received four Xive implants supported and retained complete maxillary overdenture with the anterior maxilla augmented with vertical ridge splitting and heterogenous bone fill particles of lyophilized deantigenized animal equine collagen, and biocollagen resorbable membrane.Results: The results of this study revealed nonsignificant increase in the mean bone height loss after 6, 12 and 18 months follow up period in group I and group II. There was a non-significant difference in the mean bone height loss between group I and group II at different follow up periods.Conclusions: After one and a half years of implant retained and supported overdenture, clinical and radiographic data demonstrated that implants can be successfully placed in either alveolar ridges augmented with autogenous bone or ridge splitting with Bio-Gen and Biocollagen membrane. Also, this study exhibited peri-implant stability with high survival, healthy peri-implant tissue and the marginal bone ridge values were satisfactory around implants. [Tamer Omar Ibrahim and Riham Omar Ibrahim. Evaluation of Two Treatment Modalities for Patients with Combination Syndrome Suffering From Narrow Anterior Maxilla. Life Sci J 2013;10(2):2199-2210] (ISSN:1097-8135). http://www.lifesciencesite. com. 307
Using Proxy Measures of the Survey Variables in Post-Survey Adjustments in a Transportation Survey

Traditional post-survey adjustments tend to use demographic variables that are readily available. To reduce nonresponse error, the post-survey adjustments should use variables that are related not only to respondents? propensity to respond to a survey request but also to the survey variable of interest. This paper examines the use of proxy measures of survey variables in post-survey adjustments. We developed a new weighting scheme drawing on proxy measures of survey variables and compared the new weighting scheme to a traditional weighting procedure that employs only demographic variables to examine the effectiveness of the new weighting method in nonresponse error reduction.
Trends and Barriers in the Use of Hormonal Contraception Among Women In Mansoura-Egypt

The hormonal contraceptives are highly effective long acting reversible contraception. Providing better counseling would assist the user in coping with side effects and decreases unnecessary barriers that lead to discontinuation of these methods. The aim of the study was to determine the trends and barriers in the use of hormonal contraception among women in Mansoura-Egypt. SUBJES and METHODS: A descriptive, crosssectional exploratory study design was used in this study. It was carried between February and July 2017. A statistical sample of 166 women attending the family planning clinic at Mansoura University Hospital –Egypt and were users of HCM were involved in this study. Questionnaire schedule include data about; client characteristics, the HCM they ever used; side-effects and barriers lead to discontinuation of the method. RESULTS: the injectable was the most widely used HCM and implants were used by only 3.0% of the sample. The majority recognized the benefits of HCM, but do not adhere to the system of follow up unless complications aroused or they need to switch to other method. The majority was not able to cope with side-effect and three quarters experience a delay in selecting another method for contraception with the result that incidence of unintended pregnancy reached about one third of the sample. Cognitive and method failure were significantly the most common barriers reported by women using contraceptive pills. Conclusion: the injectable was the most widely used HCM and implants were used by only 3.0% of the sample. Cognitive and method failure were significantly the most common barriers reported. Recommendations: Providing better counseling would assist the user in coping with side effects and decreases barriers that lead to unnecessary discontinuation of contraception methods.
LINKING ACADEMIC MOTIVATION AND SATISFACTION TOWARDS SERVICES QUALITY AMONG ONLINE ADULT LEARNERS : A CASE OF UNIVERSITI TEKNOLOGI MARA ( UITM )

The rapid expansion of the online or web-based learning as a potential course delivery and the competitive platform, combined with the increasing interest in lifelong learning has created a significant incentive for higher learning institutions to develop online programs. Hence, over the past years, there was an influx of adult distance learners pursuing their studies at the tertiary level. However, there was some issues related to satisfaction towards quality service such as lack of support system and thus lead to high attrition rates among adult learners. Therefore, this study was intended to examine the relationship between academic motivation and satisfaction towards service quality among the online adult learners of UiTM, Shah Alam. A total of 222 adult online learners participated in this study. Pearson’s Product –Moment Correlation Coefficient (r) was used to measure the strength and direction of the relationship between variables. The finding showed that there was a positive and moderate relationship between academic motivation and program service quality among the online adult distance learners of UiTM, Shah Alam. Implications and recommendation were discussed in this paper. Field of Research: Online learning, adult learners, academic motivation, service quality. ----------------------------------------------------------------------------------------------------------------------------------
Character-based Convolutional Neural Network and ResNet 18

This paper describes and evaluates a mixing model for multimodal author profiling using character-based Convolutional Neural Networks (CNN) for tweet classification and ResNet18 for images. We applied theses models to the author profiling task of the PAN18 challenge and show that its architecture allows these model to be applied to any language. For the tweets, a CNN based on an character-embedding layer, 1’500 filters and a temporal max-pooling layer reaches a classification accuracy of 74.87% with 100 tweets per author. For images, the ResNet18 model reaches a classification accuracy of 56.58% with 10 images per author. The evaluations are based on three collections of tweets and images (PAN AUTHOR PROFILING task at CLEF 2018).