Miracle-dz/UniFAR-FTUs huggingface dataset:
A Comparative Study of Bayesian Models for Unsuper- Vised Sentiment Detection Conference Item a Comparative Study of Bayesian Models for Unsupervised Sentiment Detection

Copyright and Moral Rights for the articles on this site are retained by the individual authors and/or other copyright owners. For more information on Open Research Online's data policy on reuse of materials please consult the policies page. Abstract This paper presents a comparative study of three closely related Bayesian models for unsupervised document level sentiment classification, namely, the latent sentiment model (LSM), the joint sentiment-topic (JST) model, and the Reverse-JST model. Extensive experiments have been conducted on two corpora, the movie review dataset and the multi-domain sentiment dataset. It has been found that while all the three models achieve either better or comparable performance on these two corpora when compared to the existing unsupervised sentiment classification approaches, both JST and Reverse-JST are able to extract sentiment-oriented topics. In addition, Reverse-JST always performs worse than JST suggesting that the JST model is more appropriate for joint sentiment topic detection.
A theory of software project management and PROMOL: a project management modeling language

Abstract : Effective software project management is the key to successful completion of IT software projects. A positive theory of software project management helps to illuminate the path to effective management. Here, we introduce a simple, yet powerful, software project management theory that helps us to understand the conditions and drivers that lead to functional and dysfunctional project behavior. We identify a set of criteria for assessing current and future modeling tools. Finally, we introduce a formal and visual modeling language for management of software projects.
D3.1.1 Regression models of trends in streaming data

FP7-ICT Strategic Targeted Research Project (STREP) ICT-2011-287863 TrendMiner Deliverable D3.1. 1 (WP3.1) We present initial work on building predictive financial and political opinion models. We address various concerns including: a large scale text data preprocessing tool; a scalable mapreduce based test setup for algorithm development; time series data models and processing; financial and political time series data via web APIs; a regression model for financial data and correlation analysis for political data. Keyword list: text processing, tokenisation, language detection, stemming, twitter, regression, correlation, financial, political Copyright c © 2012 University of Southampton Project Delivery Date Contractual Date Nature Reviewed By Web links Dissemination TrendMiner No. 287863 May 1, 2012 May 1, 2012 Deliverable Thierry Declerck & Mauro Navarra http://github.com/sinjax/trendminer PU TrendMiner Consortium This document is part of the TrendMiner research project (No. 287863), partially funded by the FP7-ICT Programme. DFKI GmbH Language Technology Lab Stuhlsatzenhausweg 3 D-66123 Saarbrcken Germany Contact person: Thierry Declerck E-mail: declerck@dfki.de University of Sheffield Department of Computer Science Regent Court, 211 Portobello St. Sheffield S1 4DP UK Contact person: Kalina Bontcheva E-mail: K.Bontcheva@dcs.shef. ac.uk University of Southampton Southampton SO17 1BJ UK Contact person: Mahensan Niranjan E-mail: mn@ecs.soton. ac.uk Ontotext AD Polygraphia Office Center fl.4, 47A Tsarigradsko Shosse, Sofia 1504, Bulgaria Contact person: Atanas Kiryakov E-mail: naso@sirma.bg Internet Memory Research 45 ter rue de la Rvolution F-93100 Montreuil France Contact person: France Lafarges E-mail: contact@internetmemory.org Sora Ogris and Hofinger GmbH Linke Wienzeile 246 A-1150 Wien Austria Contact person: Christoph Hofinger E-mail: ch@sora.at Eurokleis S.R. L. Via Giorgio Baglivi, 3 Roma RM 00161 Italia Contact person: Francesco Belini E-mail: info@eurokleis.com Hardik Fintrade Pvt Ltd. 227, Shree Ram Cloth Market, Opposite Manilal Mansion, Revdi Bazar, Ahmedabad 380002 India Contact person: Suresh Aswani E-mail: m.aswani@hardikgroup.com
Content-based Image Retrieval Using Image Regions as Query Examples

A common approach to content-based image retrieval is to use example images as queries; images in the collection that have low-level features similar to the query examples are returned in response to the query. In this paper, we explore the use of image regions as query examples. We compare the retrieval effectiveness of using whole images, single regions, and multiple regions as examples. We also compare two approaches for combining shape features: an equal-weight linear combination, and classification using machine learning algorithms. We show that using image regions as query examples leads to higher effectiveness than using whole images, and that an equal-weight linear combination of shape features is simpler and at least as effective as using a machine learning algorithm.
1 . 2 The Generalized Particle Model ( GPM )

The problem of bandwidth allocation in computer networks can be likened to the supplydemand problem in economics. This paper presents the economic generalized particle model (EGPM) approach to intelligent allocation of network bandwidth. EGPM is a significant extension and further development of the generalized particle model (GPM) [1]. The approach comprises two major components: (1) dynamic allocation of network bandwidth based on GPM; and (2) dynamic modulation of price and demands of network bandwidth. The resulting algorithm can be easily implemented in a distributed fashion. Pricing being the network control mechanism in EGPM is carried out by a tatonnement process. We discuss the EGPM’s convergence and show that the approach is efficient in achieving the global Pareto optimum. Via simulations, we test the approach, analyze its parameters and compare it with GPM and a genetic-algorithm-based solution.
Influence of Light Intensity and Seasonal Variations on Yield and Quality of Selected Cut Foliage Crops

Cut foliage are used as fillers along with flowers in bouquets, floral arrangements, floral ornaments or alone to create variability in colours, textures shapes and forms of the foliage. The cut foliages are in demand throughout the year and comprise 10% of world floriculture trade with an annual growth rate of 4%. Statistics indicated that 25-30% of bouquets presently consist of foliage as compared to only 5% of foliage used 15 years ago. According to Whelton (2006) this trend is set to increase further because of the green, healthy image presented by such products and because of the predicted increase in consumption of floral products. The leading markets for foliage in the EU are the UK, Germany, France, Italy, The Netherlands, Poland and Spain. The major suppliers include Costa Rica, Guatemala, China, Sri Lanka, India, Mexico and South Africa. The best export window for foliage suppliers in developing countries is during the period October-May. Due to the seasonality of production, supplies from European Union growers are considerably lower during the winter months. Most foliage from developing countries is imported by specialised Dutch importers. In India Asparagus spp. comprise International Journal of Current Microbiology and Applied Sciences ISSN: 2319-7706 Volume 6 Number 12 (2017) pp. 1984-1994 Journal homepage: http://www.ijcmas. com
Abstracting a Dialogue Act Tagset forMeeting Processing . In :

This paper analyses three existing tagsets for dialogue acts, i.e., the function of utterances in dialogue. Then, a new tagset is proposed, named MALTUS, designed for the annotation of meeting recording transcripts. Several criteria for tagset definition are discussed, along with the possible theoretical inspiration for dialogue act tagsets. The DAMSL, SWBD-DAMSL, and ICSI-MR tagsets are analyzed with respect to the previous considerations. The definition of MALTUS is followed by quantitative data from the conversion and validation of ICSI-MR data, and then by perspectives on automatic tagging using MALTUS, and on further user-based studies of its relevance. POPESCU-BELIS, Andréi. Abstracting a Dialogue Act Tagset forMeeting Processing. In: Maria Teresa Lino, Maria Francisca Xavier, Fátima Ferreira, Rute Costa and Raquel Silva. LREC 2004 (Fourth International Conference on Language Resources and Evaluation). ELRA European Language Ressources Association, 2004. p. 1415-1418
GPU Based High Definition Parallel Video Codec Optimization in Mobile Device

With the explosive growth of various intelligent device and the rapid development of wireless network communication technology, most people prefer to use video applications on smart devices. However, the main challenges when using video codec technology on mobile devices are: 1) The explosive growth of multimedia applications has caused the allocation of computing resources to become an important issue; 2) high power consumption and limited battery power; 3) high cpu utilization causes the system to be unresponsive. In this paper, a GPU based High Definition Parallel Video Codec (GHPVC) is proposed, which is a low energy consumption and high efficient video codec on mobile devices. First, Frame Data Management model and Prediction Model Selector model are proposed in order to get higher data transmission efficiency and parallel execution efficiency. Second, a GPU based Parallel ME module is proposed because the ME module is the most power-consuming and computationally intensive module in video codec. The GHPVC is proposed on the basis of conforming to the H.264 standard. Moreover and experimentally evaluated for different GPU devices on different mobile devices. Experimental results show that compared with the existing H.264 scheme, the proposed GHPVC not only has significant improvement in codec performance, but also effectively reduces energy consumption and CPU utilization.
UC Davis UC Davis Previously Published Works Title Analyzing and reconstructing reticulation networks under timing constraints

Reticulation networks are now frequently used to model the history of life for various groups of species whose evolutionary past is likely to include reticulation events such as horizontal gene transfer or hybridization. However, the reconstructed networks are rarely guaranteed to be temporal. If a reticulation network is temporal, then it satisfies the two biologically motivated timing constraints of instantaneously occurring reticulation events and successively occurring speciation events. On the other hand, if a reticulation network is not temporal, it is always possible to make it temporal by adding a number of additional unsampled or extinct taxa. In the first half of the paper, we show that deciding whether a given number of additional taxa is sufficient to transform a non-temporal reticulation network into a temporal one is an NP-complete problem. As one is often given a set of gene trees instead of a network in the context of hybridization, this motivates the second half of the paper which provides an algorithm, called TemporalHybrid, for reconstructing a temporal hybridization network that simultaneously explains the ancestral history of two trees or indicates that no such network exists. We further derive two methods to decide whether or not a temporal hybridization network exists for two given trees and illustrate one of the methods on a grass data set. All authors contributed equally to this work. S. Linz Department of Computer Science, University of California, Davis, CA, USA e-mail: linzs@cs.ucdavis. edu C. Semple Biomathematics Research Centre, Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand e-mail: c.semple@math.canterbury. ac.nz T. Stadler (B) Institute of Integrative Biology, ETH Zürich, Zürich, Switzerland e-mail: tanja.stadler@env.ethz. ch
UC Davis UC Davis Previously Published Works Title Predictors of uterine evacuation following early medical abortion with mifepristone and misoprostol

Objectives:We sought to determine predictors of uterine evacuation for women undergoing medical abortion using mifepristone and vaginal misoprostol through 63 days' gestation. Study Design: We pooled data from two prospective multicenter medical abortion trials. In one study, women received mifepristone 200 mg followed either 6–8 or 23–25 h later by misoprostol 800 mcg vaginally. In the second study, women received mifepristone 200 mg followed either b15 min or 23–25 h later by misoprostol 800 mcg vaginally. We examined the absolute risk (AR) of uterine evacuation using Fisher's Exact Tests for categorical variables and Student t test and Wilcoxon rank-sum tests for continuous variables. We used logistic regression to calculate odds ratios (ORs) of uterine evacuation. Results: Uterine evacuation was performed for 75 (3.5%) of 2160 women. In multivariable analysis, 5 or more prior deliveries (AR 11.9%, OR 4.6) and gestational age of 8 weeks or more (AR 4.1%, OR 2.1) were significantly associated with uterine evacuation, while age of 20 years or younger (AR 1.4%, OR 0.4) was significantly and inversely associated with uterine evacuation. Prior cesarean delivery, multiple gestations, smoking, weight, body surface area and body mass index were not predictive of uterine evacuation in univariate or multivariable analysis. Conclusion: Uterine evacuation is an uncommon outcome in medical abortion with mifepristone and vaginal misoprostol. Five or more deliveries are the only significant predictor that identifies a group with an AR of uterine evacuation of more than 6%. Implications: Uterine evacuation is uncommon in medical abortion with mifepristone and vaginal misoprostol. Parity of five or more is the only significant predictor of uterine evacuation exceeding 6%. Until additional research is completed, medical abortion should not be withheld from women with five or more deliveries. © 2016 Elsevier Inc. All rights reserved.
UC Davis UC Davis Previously Published Works Title The Ascomycete Verticillium longisporum Is a Hybrid and a Plant Pathogen with an Expanded

Hybridization plays a central role in plant evolution, but its overall importance in fungi is unknown. New plant pathogens are thought to arise by hybridization between formerly separated fungal species. Evolution of hybrid plant pathogens from non-pathogenic ancestors in the fungal-like protist Phytophthora has been demonstrated, but in fungi, the most important group of plant pathogens, there are few well-characterized examples of hybrids. We focused our attention on the hybrid and plant pathogen Verticillium longisporum, the causal agent of the Verticillium wilt disease in crucifer crops. In order to address questions related to the evolutionary origin of V. longisporum, we used phylogenetic analyses of seven nuclear loci and a dataset of 203 isolates of V. longisporum, V. dahliae and related species. We confirmed that V. longisporum was diploid, and originated three different times, involving four different lineages and three different parental species. All hybrids shared a common parent, species A1, that hybridized respectively with species D1, V. dahliae lineage D2 and V. dahliae lineage D3, to give rise to three different lineages of V. longisporum. Species A1 and species D1 constituted as yet unknown taxa. Verticillium longisporum likely originated recently, as each V. longisporum lineage was genetically homogenous, and comprised species A1 alleles that were identical across lineages. Citation: Inderbitzin P, Davis RM, Bostock RM, Subbarao KV (2011) The Ascomycete Verticillium longisporum Is a Hybrid and a Plant Pathogen with an Expanded Host Range. PLoS ONE 6(3): e18260. doi:10.1371/journal.pone. 0018260 Editor: Anastasia Litvintseva, Duke University Medical Center, United States of America Received January 10, 2011; Accepted February 23, 2011; Published March 24, 2011 Copyright: 2011 Inderbitzin et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: Financial support was provided by the California Leafy Greens Board (2008-10, 2008-11, 2009-10, and 2009-11), United States Department of Agriculture-National Institute of Food and Agriculture (USDA-NIFA) (2007-51100-03846), and the Hatch funds allocated to University of California Agricultural Experiment Station Project CA-D*-PPA-5681-H. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. * E-mail: kvsubbarao@ucdavis.edu
Comprehensive Evaluation of the Variable Infiltration Capacity (VIC) Model in the North American Land Data Assimilation System

Since the second phase of the North American Land Data Assimilation System (NLDAS-2) was operationally implemented at NOAA/NCEP as part of the production suite in August 2014, developing the next phase of NLDAS has been a key focus of the NCEP and NASA NLDAS teams. The Variable Infiltration Capacity (VIC) model is one of the four land surface models of the NLDAS system. The current operational NLDAS-2 uses version 4.0. 3 (VIC403), the research NLDAS-2 used version 4.0. 5 (VIC405), and the NASA Land Information System (LIS)-based NLDAS uses version 4.1. 2.l (VIC412). The purpose of this study is to evaluate VIC403 and VIC412 and check if the latter version has better performance for the next phase of NLDAS. Toward this, a comprehensive evaluation was conducted, targeting multiple variables and using multiple metrics to assess the performance of different model versions. The evaluation results show large and significant improvements in VIC412 over the southeastern United States when compared with VIC403 and VIC405. In other regions, there are very limited improvements or even deterioration to some degree. This is partially due to 1) the sparseness of USGS streamflow observations for model parameter calibration and 2) a deterioration of VIC model performance in the Great Plains (GP) region after a model upgrade to a newer version. Overall, the model upgrade enhances model performance and skill scores for most parts of the continental United States; exceptions include the GP and western mountainous regions, as well as the daily soil moisture simulation skill, suggesting that VIC model development is on the right path. Further efforts are needed for scientific understanding of land surface physical processes in the GP, and a recalibration of VIC412 using reasonable reference datasets is recommended.
What are you doing ? 3 Location Social Activity 4 Human Mobility Descriptive Analysis Individual Level Aggregate Level Predictive Analysis Short Term Long Term Work in human mobility 5 Human Mobility Descriptive Analysis Individual Level Aggregate Level Predictive Analysis

Cell phones connected to high-speed 3G networks constitute an increasingly important class of clients on the Internet. From the viewpoint of the servers they conn ct to, such devices are virtually indistinguishable from conventional endhosts. In this study, we examine the IP addresses seen by Internet servers for cell phone clients and make two observations. First, individual cell phones can expose di↵erent IP addresses to servers within time spans of a few minutes, rendering IP-based user identification and blocking inadequate. Second, cell phone IP addresses do not embed geographical information at reasonabl fidelity, reducing the e↵ectiveness of commercial geolocation tools used by websites for fraud detection, server selection and content customization. In addition to these two observations, we show that applicationlevel latencies between cell p ones and Internet serve s can di↵er greatly depending on the location of the cell phone, but do not vary much at a given location over short time spans; as a result, they provide fine-grained location information that IPs do not.
Computing Iceberg Queries E ciently

Many applications compute aggregate functions over an attribute (or set of attributes) to nd aggregate values above some speci ed threshold. We call such queries iceberg queries, because the number of abovethreshold results is often very small (the tip of an iceberg), relative to the large amount of input data (the iceberg). Such iceberg queries are common in many applications, including data warehousing, information-retrieval, market basket analysis in data mining, clustering and copy detection. We propose e cient algorithms to evaluate iceberg queries using very little memory and signi cantly fewer passes over data, when compared to current techniques that use sorting or hashing. We present an experimental case study using over three gigabytes of Web data to illustrate the savings obtained by our algorithms.
Drivers and Impediments of Computer Security and e-Business Success

In today‟s economy, information is one of the most important assets of an organization, probably second only to human resources. Information has become important both as input and output. Hence computer security is of great concern to companies and businesses that want to implement e-business. The internet, which is the primary medium for conducting e-business, is by design an open non-secure medium. Since the original purpose of the internet was not for commercial purpose, it was designed to handle secure transactions and one of the most important issues in e-business is security. This paper explores factors that influence customer‟s perceptions of security which influence the success of e-business in Nigeria and also outlines and analyses computer security with regard to online businesses. This is followed by an evaluation of the current tools and practices for ensuring computer security in e-business. The demerits of the present practice are also presented.
TQL: a query language for semistructured data based on the ambient logic

The ambient logic is a modal logic that was proposed for the description of the structural and computational properties of distributed and mobile computation. The structural part of the ambient logic is, essentially, a logic of labelled trees, hence it turns out to be a good foundation for query languages for semistructured data, much in the same way as first-order logic is a fitting foundation for relational query languages. We define here a query language for semistructured data that is based on the ambient logic, and we outline an execution model for this language. The language turns out to be quite expressive. Its strong foundations and the equivalences that hold in the ambient logic are helpful in the definition of the language semantics and execution model.
Text mining

Text mining is an umbrella term covering a wide range of software tools, including natural language analysis, use of statistical techniques, and machine learning, designed to extract entities (names of people and places), index terms, and relationships. This article outlines these tools, and describes how text mining is being applied in enterprises to solve user problems. A standard measure of accuracy enables text-mining tools to be compared. Text mining is often applied to unstructured content, but the most impressive results come from applying text-mining tools on structured text within a specific subject domain, using an iterative process to train the software.