Learning higher-level features with convolutional restricted Boltzmann machines for sentiment analysis

In recent years, learning word vector representations has attracted much interest in Natural Language Processing. Word representations or embeddings learned using unsupervised methods help addressing the problem of traditional bag-of-word approaches which fail to capture contextual semantics. In this paper we go beyond the vector representations at the word level and propose a novel framework that learns higher-level feature representations of n-grams, phrases and sentences using a deep neural network built from stacked Convolutional Restricted Boltzmann Machines (CRBMs). These representations have been shown to map syntactically and semantically related n-grams to closeby locations in the hidden feature space. We have experimented to additionally incorporate these higher-level features into supervised classifier training for two sentiment analysis tasks: subjectivity classification and sentiment classification. Our results have demonstrated the success of our proposed framework with 4% improvement in accuracy observed for subjectivity classification and improved the results achieved for sentiment classification over models trained without our higher level features.

Teaching University-Level Mathematics Using Mathematica

This paper considers the use of the computer algebra system Mathematica for teaching university-level mathematics subjects. Outlined are basic Mathematica concepts, connected with different mathematics areas: algebra, linear algebra, geometry, calculus and analysis, complex functions, numerical analysis and scientific computing, probability and statistics. The course “Information technologies in mathematics”, which involves the use of Mathematica, is also presented - discussed are the syllabus, aims, approaches and outcomes.

Approaches to Building Websites for Training People with Special Education Needs

This work discusses several approaches to building websites for training and facilitating people with special education needs (SEN), implemented over the last four years with the authors’ involvement. Achievements are credited and avenues for improvement are suggested, as emphasis is given to technologies and resources of key importance in providing the required level of accessibility. Two instances of learning management systems are considered as tools for developing websites dedicated to training and working with people with SEN. A summary of the recommendations and requirements of developers of such sites is made in view of improving the degree of accessibility.

Support for paediatric prescribers:what is discussed at hospital board level?

Prescribing support tools range from traditional printed texts to state-of-the-art computerised decision support systems. Comparison between available literature is difficult due to country-specific resources often being the focus of the research. In the UK, it is widely accepted that hospitals take their own individualised approaches to reducing prescribing errors. Objective - This study focused on specialist paediatric hospitals. It aimed to identify the localised approaches taken by paediatric hospitals to reduce prescribing errors. Method - Applied thematic analysis was used to explore the publically published board meeting minutes from the four specialist stand-alone paediatric hospitals in England. Three years of data was collected from each hospital. Codes were collected into groups to identify themes from the data. Results - The main themes identified were clinician involvement in prescribing support is important; credit card-sized reminder tools are used to provide prescribing guidance; electronic prescribing is considered important for reducing prescribing errors; feedback from clinical pharmacists on prescribing errors is widely used; junior doctors require extra support when prescribing; medical records may be incomplete and specific prescribing support (eg, antibiotic prescribing support) is widely in use. Conclusions - There is no single collaborative approach taken to paediatric prescribing support in English paediatric hospitals. Success of electronic prescribing in English paediatric hospitals is considerably behind leaders such as the USA. Use of clinical pharmacists to support prescribers is important as supported by previous studies in Spain and the USA.

Handling high level of censoring for endovascular aortic repair risk prediction

Feature selection is important in medical field for many reasons. However, selecting important variables is a difficult task with the presence of censoring that is a unique feature in survival data analysis. This paper proposed an approach to deal with the censoring problem in endovascular aortic repair survival data through Bayesian networks. It was merged and embedded with a hybrid feature selection process that combines cox's univariate analysis with machine learning approaches such as ensemble artificial neural networks to select the most relevant predictive variables. The proposed algorithm was compared with common survival variable selection approaches such as; least absolute shrinkage and selection operator LASSO, and Akaike information criterion AIC methods. The results showed that it was capable of dealing with high censoring in the datasets. Moreover, ensemble classifiers increased the area under the roc curves of the two datasets collected from two centers located in United Kingdom separately. Furthermore, ensembles constructed with center 1 enhanced the concordance index of center 2 prediction compared to the model built with a single network. Although the size of the final reduced model using the neural networks and its ensembles is greater than other methods, the model outperformed the others in both concordance index and sensitivity for center 2 prediction. This indicates the reduced model is more powerful for cross center prediction.

Az integráció mérésének lehetőségei (Measuring the level of integration)

Az integrációt, mint folyamatot, valamint állapotot (integráltság), az integráció „intenzitását” az irodalomban nagyszámú mutatóval mérik. A mérési kísérletek a globális és regionális integrációk feltérképezésére és elemzésére egyaránt kiterjednek. A mérés kérdésének különös jelentősége van a gazdaságpolitikai kihívások és a hatékony válaszok kidolgozása szempontjából. / === / Many methods exist in the literature to measure the level and intensity of integration both as a process and as a state. These measurement exercises can be used to assess both global and regional integration. The most important goal of measurement is to provide inputs for effective policy making. The paper provides a review on the various approaches used in the context of the European Union.

Menedzsment képességek és döntéshozatali közelítésmódok longitudinális elemzése a versenyképesség kutatások alapján = Longitudinal analysis of management skills and decision making approaches in Competitiveness Research

Absztrakt: Tanulmányunkban a menedzsment képességek és döntéshozatali közelítésmódok szerepét a versenyképesség alakításában immáron negyedik alkalommal elemezzük. Hogy megértsük, milyen tulajdonságokkal, egyéni képességekkel kell a menedzsmentnek rendelkeznie ahhoz, hogy önmaga is versenyképes legyen, és feltárjuk, melyek a mintában szereplő menedzserek erősségei, illetve gyenge pontjai – a korábbi kutatások hagyományait követve – azt vizsgáltuk, hogy a mintában szereplő menedzserek hogyan értékelik önmagukat bizonyos készségek, képességek szerint, valamint azt is áttekintettük, hogy a menedzserek milyen döntéshozatali közelítésmódokat alkalmaznak. A megkérdezett menedzserekre - akárcsak a korábbi válaszadókra - a gyakorlatorientáltság, a magas szintű szakmai ismeretek birtoklása és a fejlett problémamegoldó képesség jellemző leginkább, illetve a nemzetközi trendekkel némiképp szemben a racionális döntéshozatali megközelítést preferálják. _____ We have been analyzing the role of management skills and decision making approaches in firm level competitiveness for the fourth time already. In order to understand what characteristics and individual capabilities a manager must have to be competitive him/herself, and what the main strengths and weaknesses of the Hungarian managers are, following the methodologies of our earlier studies, self assessment of the skills and capabilities of the managers in our sample were examined. The managers – similarly to the earlier results – are practice oriented, they possess up-to-date professional knowledge, and they have good problem solving skills. Our findings demonstrate that they prefer rational decision making approaches, which contradicts to the international tendencies.

Hybrid approaches to estimating freeway travel times using point traffic detector data

The accurate and reliable estimation of travel time based on point detector data is needed to support Intelligent Transportation System (ITS) applications. It has been found that the quality of travel time estimation is a function of the method used in the estimation and varies for different traffic conditions. In this study, two hybrid on-line travel time estimation models, and their corresponding off-line methods, were developed to achieve better estimation performance under various traffic conditions, including recurrent congestion and incidents. The first model combines the Mid-Point method, which is a speed-based method, with a traffic flow-based method. The second model integrates two speed-based methods: the Mid-Point method and the Minimum Speed method. In both models, the switch between travel time estimation methods is based on the congestion level and queue status automatically identified by clustering analysis. During incident conditions with rapidly changing queue lengths, shock wave analysis-based refinements are applied for on-line estimation to capture the fast queue propagation and recovery. Travel time estimates obtained from existing speed-based methods, traffic flow-based methods, and the models developed were tested using both simulation and real-world data. The results indicate that all tested methods performed at an acceptable level during periods of low congestion. However, their performances vary with an increase in congestion. Comparisons with other estimation methods also show that the developed hybrid models perform well in all cases. Further comparisons between the on-line and off-line travel time estimation methods reveal that off-line methods perform significantly better only during fast-changing congested conditions, such as during incidents. The impacts of major influential factors on the performance of travel time estimation, including data preprocessing procedures, detector errors, detector spacing, frequency of travel time updates to traveler information devices, travel time link length, and posted travel time range, were investigated in this study. The results show that these factors have more significant impacts on the estimation accuracy and reliability under congested conditions than during uncongested conditions. For the incident conditions, the estimation quality improves with the use of a short rolling period for data smoothing, more accurate detector data, and frequent travel time updates.

Managing the multiplicities of graduate level education! Are Master’s students’ expectations matched by their experiences?

With rapid increases in student fees reflecting moves towards a QUASI Market model of Higher Education in the UK and across much of the Western World[1], many universities find themselves having to meet progressively higher levels of student expectations[2]. This is particularly the case at undergraduate level, where increases in fees over the past decade have far exceeded inflation. Yet with so much attention on ‘consumer savvy’ undergraduates, the question of whether Master’s level students’ expectations are matched by their experiences is one which remains largely unanswered. Grounded in an empirically grounded approach to learning and teaching developed by the paper authors[3], this paper sets out to being to answer this question. In doing so it makes a distinctive contribution to debates about graduate level engineering education and concludes with a number of recommendations. Discussion: The ‘MSc: Managing Expectations’ Project analyses the expectations and experiences of Graduate level Engineering Management Students over a two year period. Focusingon the ‘student experience’, three main concepts are identified as being particular relevant to enhancing learning [3]: Relationships: Variety: Synergy. Relationships: Based on empirical research, the significance of Relationships within the academic environment is discussed with particular attention being paid to the value of students’ social and academic support networks, including academic tutoring. Variety: Grounded in a statistical analysis of ‘engagement data’ together with survey and interview findings, the concept of variety critically examines students’ perspectives and experiencesof different approaches to learning and teaching. Synergy: Possibly the most important concept discussed within this paper, the need for constructively aligned curriculum is extended to reflect the students’ apriori knowledge and experienceas well as employer and societal demands and expectations. The conclusion brings the different concepts within the discussion together, providing a set of practical recommendations for colleagues working both at graduate and undergraduate level. References 1.Gibbs, P. (2001) "Higher education as a market: a problem or solution?." Studies in Higher Education 26. 1. pp. 85-94. 2.Tricker, T., (2005) Student Expectations-How do we measure up. University of Sheffield. Available from: http://www.persons.org.uk/tricker%20paper.pdf Accessed 9/10/14 3.Clark, R. & Andrews, J. (2014). Relationships, Variety & Synergy [RVS]: The Vital Ingredients for Scholarship in Engineering Education? A Case-Study. European Journal of Engineering Education. 39.6. pp. 585-600.

Analytical strategies for the early quality and safety assurance in the global feed chain. Approaches for nitrogen adulterants in soybean meal and mineral and transformer oils in vegetable oils.

In the past decade, several major food safety crises originated from problems with feed. Consequently, there is an urgent need for early detection of fraudulent adulteration and contamination in the feed chain. Strategies are presented for two specific cases, viz. adulterations of (i) soybean meal with melamine and other types of adulterants/contaminants and (ii) vegetable oils with mineral oil, transformer oil or other oils. These strategies comprise screening at the feed mill or port of entry with non-destructive spectroscopic methods (NIRS and Raman), followed by post-screening and confirmation in the laboratory with MS-based methods. The spectroscopic techniques are suitable for on-site and on-line applications. Currently they are suited to detect fraudulent adulteration at relatively high levels but not to detect low level contamination. The potential use of the strategies for non-targeted analysis is demonstrated.

Multi-scale score level fusion of local descriptors for gender classification in the wild

The 2015 FRVT gender classification (GC) report evidences the problems that current approaches tackle in situations with large variations in pose, illumination, background and facial expression. The report suggests that both commercial and research solutions are hardly able to reach an accuracy over 90% for The Images of Groups dataset, a proven scenario exhibiting unrestricted or in the wild conditions. In this paper, we focus on this challenging dataset, stepping forward in GC performance by observing: 1) recent literature results combining multiple local descriptors, and 2) the psychophysics evidences of the greater importance of the ocular and mouth areas to solve this task...

Quality audit in the European higher education area. A comparison of approaches

The publication illustrates various approaches to auditing and reflects on their merit, as well as outlines the implementation of audits in different higher education systems across Europe. One focus is to show common aspects and apparent deviations concerning purpose and aim of the audit, national legislation, scope of the audit, external assessments and their effects. In addition it reflects on current and future challenges and developments. Contributions from twelve European quality assurance agencies provide an insight into their audit approaches. The publication is targeted at quality assurance agencies, higher education institutions and other stakeholders and aims to increase knowledge about different quality assurance procedures across borders. With contributions by: Kastelliz, Dietlinde; Müller Strassnig, Annina; Kohler, Alexander; Huertas, Esther; Adot, Esther; Perez de la Calle, Jose Antonio; Balboa, Esther; Danian, Rado Mircea; Sarbu, Oana; Pedersen, Lars; Moitus, Sirpa; Leetz, Friederike; Froestad, Wenche; van Galen, Stephan; Le Fort, Genevieve; McLaughlin, Maureen; Crum, Ailsa.

Bicultural individuals as workforce in Australian MNCs

This study focuses on bicultural individuals as workforce in multinational companies in Australia. The aim of the study is to research the role of these individuals in these companies, with three sub-questions; to research (bi)cultural identity biculturals have, exploiting biculturals’ competencies in multinational companies, and challenges in managing biculturals in these companies. The main theoretical concepts related to this research are biculture and a cross-cultural work environment. Furthermore, discussing biculturals as part of workforce in MNCs, by presenting opportunities and challenges, has been taken into account. The empirical part for the research was collected by semi-structured interviews between January and March 2016. The findings of this study suggest that the role of biculturals in MNCs is not established. Biculturals can be viewed as appreciated workforce but MNCs lack recognition and awareness of biculturals’ competencies. The competencies of biculturals’ are related to bicultural identity integration and sometimes competencies can be latent. Competencies bicultural individuals possess are often related to cultural knowledge, cultural frame switching, understanding and perception towards others. Australia as a nation faces cultural diversity daily but the potential behind it remains fairly untouched even on the individual level. The potential is everywhere but a more universal approach how to handle the potential still remains vague for most. There seem to be different approaches to diversity and to biculturalism, which lead to either advantage or challenge. It is found that in case the potential is recognized the result is more likely positive. Challenges may still occur yet if challenges are managed appropriately the company may be able to learn from them. Alternatively, ignorance is more likely to cause challenges that lead to a loss of resources. Biculturalism is not achieved overnight, as it was emphasized throughout this study, which highlights the role of competencies. For the future research it is necessary to find approaches how to enhance awareness and highlight possibilities, to capture currently lost potential.

'Immune System Approaches to Intrusion Detection - A Review'

Abstract. The use of artificial immune systems in intrusion detection is an appealing concept for two reasons. Firstly, the human immune system provides the human body with a high level of protection from invading pathogens, in a robust, self-organised and distributed manner. Secondly, current techniques used in computer security are not able to cope with the dynamic and increasingly complex nature of computer systems and their security. It is hoped that biologically inspired approaches in this area, including the use of immune-based systems will be able to meet this challenge. Here we collate the algorithms used, the development of the systems and the outcome of their implementation. It provides an introduction and review of the key developments within this field, in addition to making suggestions for future research.

Macro-geographical differences influenced by family-based expression on cultured pearl grade, shape and colour in the black-lip "pearl oyster" Pinctada margaritifera: a preliminary bi-local case study in French Polynesia

In French Polynesia, the aquaculture of P. margaritifera is carried out in numerous grow-out sites, located over three archipelagos (Gambier, Society and Tuamotu). To evaluate the impact of macro-geographical effects of these growing sites on pearl quality traits, five hatcheries produced families were used as homogeneous donor oysters in an experimental graft. The molluscs were then reared in two commercial locations: Tahaa island (Society) and Rangiroa atoll (Tuamotu). At harvest, eight pearl quality traits were recorded and compared: surface defects, lustre, grade, circles, shape categories, darkness level, body and secondary colour and visual colour categories. Overall inter-site comparison revealed that: 1) all traits were affected by grow-out location except for lustre and round shape, and 2) a higher mean rate of valuable pearls was produced in Rangiroa. Indeed, for pearl grade, Rangiroa showed twice as many A-B and less reject samples than Tahaa. This was related to the number of surface defects (grade component): in Rangiroa, twice as many pearls had no defects and less pearls had up to 10 defects. Concerning pearl shape, more circled and baroque pearls were found in Tahaa (+10%). For colour variation, 10% more pearls have an attractive green overtone in Rangiroa than in Tahaa, where more grey bodycolor were harvested. Lustre does not seem to be affected by these two culture site (except at a family scale). This is the first time P. margaritifera donor family have been shown to vary in the quality of pearls they produce depending on their grow-out location.