Undue influence and the family home

This book provides a comprehensive analysis of the doctrine of undue influence in the context of the family home and fully incorporates the recent House of Lords ruling in Royal Bank of Scotland v Etridge (No 2) (2001). It is aimed predominantly at the legal practitioner, but will also act as a useful source of reference for academics and students of contract, land law and equity and trusts. Emphasis is placed on claims brought by spouses (usually the wife) seeking to set aside a charge over the matrimonial home made in favour of a lending institution. The role of lenders in this context is also examined in depth, as is the part played by the solicitor acting on behalf of the parties. Apart from providing an exposition of the doctrine and its key elements, the book also gives a broader outlook by examining the Commonwealth experience (notably in Australia, Canada and New Zealand) and suggesting an underlying concept of unconscionability as governing undue influence claims. There is also a separate chapter on remedies, as well as an appendix containing a number of draft pleadings for use by the legal practitioner. In the foreword, the Honourable Mr Justice Neuberger writes: 'Pawlowski and Brown are to be congratulated for having produced a book ...as comprehensive and user-friendly as this volume. Not only have they considered the effect of the authorities in a clear and logical way, but they have also highlighted problems which have yet to be resolved and questions which have yet to be answered ...one of the hallmarks of a good legal book.'

Computer-aided biotechnology:from immuno-informatics to reverse vaccinology

Genome sequences from many organisms, including humans, have been completed, and high-throughput analyses have produced burgeoning volumes of 'omics' data. Bioinformatics is crucial for the management and analysis of such data and is increasingly used to accelerate progress in a wide variety of large-scale and object-specific functional analyses. Refined algorithms enable biotechnologists to follow 'computer-aided strategies' based on experiments driven by high-confidence predictions. In order to address compound problems, current efforts in immuno-informatics and reverse vaccinology are aimed at developing and tuning integrative approaches and user-friendly, automated bioinformatics environments. This will herald a move to 'computer-aided biotechnology': smart projects in which time-consuming and expensive large-scale experimental approaches are progressively replaced by prediction-driven investigations.

The computerisation of community pharmacy

Computers have, over the past 10 to 15 years, become an integral part of many activities carried out by British community pharmacists. This thesis employs quantitative and qualitative research methods to explore the use of computers and other forms of information technology (IT) in a number of these activities. Mail questionnaires were used to estimate the level of IT use among British community pharmacists in 1989 and 1990. Comparison of the results suggests that the percentage of community pharmacists using computers and other forms of IT is increasing, and that the range of applications to which pharmacy computers are put is expanding. The use of an electronic, on-line information service, PINS, by community pharmacists was investigated using mail questionnaires. The majority of community pharmacists who subscribed to the service, and who responded to the questionnaire, claimed to use PINS less than they had expected to. In addition, most did not find it user-friendly. A computer program to aid pharmacists when responding to their patients' symptoms was investigated using interviews and direct observation. The aid was not found to help pharmacists in responding to patients' symptoms because of impracticalities involved in its operation. Use of the same computer program by members of the public without the involvement of a pharmacist was also studied. In this setting, the program was favourably accepted by the majority of those who used it. Provision of computer generated information leaflets from pharmacies was investigated using mail questionnaires and interviews. The leaflets were found to be popular with the majority of recipients interviewed. Since starting to give out the leaflets, 27 out of 55 pharmacists who responded to the questionnaire had experienced an increase in the numbers of prescriptions they dispensed. 46 had experienced an increase in the number of patient enquiries they received.

A review of research in manufacturing prognostics

With the fast changing global business landscape, manufacturing companies are facing increasing challenge to reduce cost of production, increase equipment utilization and provide innovative products in order to compete with countries with low labour cost and production cost. On of the methods is zero down time. Unfortunately, the current research and industrial solution does not provide user friendly development environment to create “Adaptive microprocessor size with supercomputer performance” solution to reduce downtime. Most of the solutions are PC based computer with off the shelf research software tools which is inadequate for the space constraint manufacturing environment in developed countries. On the other hand, to develop solution for various manufacturing domain will take too much time, there is lacking tools available for rapid or adaptive way of create the solution. Therefore, this research is to understand the needs, trends, gaps of manufacturing prognostics and defines the research potential related to rapid embedded system framework for prognostic.

Is question answering fit for the semantic web? A survey

With the recent rapid growth of the Semantic Web (SW), the processes of searching and querying content that is both massive in scale and heterogeneous have become increasingly challenging. User-friendly interfaces, which can support end users in querying and exploring this novel and diverse, structured information space, are needed to make the vision of the SW a reality. We present a survey on ontology-based Question Answering (QA), which has emerged in recent years to exploit the opportunities offered by structured semantic information on the Web. First, we provide a comprehensive perspective by analyzing the general background and history of the QA research field, from influential works from the artificial intelligence and database communities developed in the 70s and later decades, through open domain QA stimulated by the QA track in TREC since 1999, to the latest commercial semantic QA solutions, before tacking the current state of the art in open user-friendly interfaces for the SW. Second, we examine the potential of this technology to go beyond the current state of the art to support end-users in reusing and querying the SW content. We conclude our review with an outlook for this novel research area, focusing in particular on the R&D directions that need to be pursued to realize the goal of efficient and competent retrieval and integration of answers from large scale, heterogeneous, and continuously evolving semantic sources.

Managing risk in enterprise resource planning projects

Enterprise Resource Planning (ERP) projects are strategic and capital intensive, so failure may be costly and even cause bankruptcy of companies. Previous studies have proposed ways for improving implementation, but they are mostly generic and follow standardized project management practices as specified in various standards (e.g. the “project management body of knowledge” of the Project Management Institute). Because ERP is interdisciplinary (involving change management, project management and information technology management), it warrants a customized approach to managing risks throughout the life cycle of implementation and operation. Through a practical case study, this paper demonstrates a qualitative, user friendly approach to ERP project risk management. Firstly, through a literature review it identifies various risk factors in ERP implementation. Secondly, the risk management practices of a UK-based multinational consulting company in one of its clients are evaluated. The risk factors from the case study organization and literature are then compared and discussed.

The use of ICT by logistics service providers and implications for training needs:a cross-country perspective

Changes in the international economic scenario in recent years have made it necessary for both industrial and service firms to reformulate their strategies, with a strong focus on the resources required for successful implementation. In this scenario, information and communication technologies (ICT) has a potentially vital role to play both as a key resource for re-engineering business processes within a framework of direct connection between suppliers and customers, and as a source of cost optimisation. There have also been innovations in the logistics and freight transport industry in relation to ICT diffusion. The implementation of such systems by third party logistics providers (3PL) allows the real-time exchange of information between supply chain partners, thereby improving planning capability and customer service. Unlike other industries, the logistics and freight transport industry is lagging somewhat behind other sectors in ICT diffusion. This situation is to be attributed to a series of both industry-specific and other factors, such as: (a) traditional resistance to change on the part of transport and logistics service providers; (b) the small size of firms that places considerable constraints upon investment in ICT; (c) the relative shortage of user-friendly applications; (d) the diffusion of internal standards on the part of the main providers in the industry whose aim is to protect company information, preventing its dissemination among customers and suppliers; (e) the insufficient degree of professional skills for using such technologies on the part of staff in such firms. The latter point is of critical importance insofar as the adoption of ICT is making it increasingly necessary both to develop new technical skills to use different hardware and new software tools, and to be able to plan processes of communication so as to allow the optimal use of ICT. The aim of this paper is to assess the impact of ICT on transport and logistics industry and to highlight how the use of such new technologies is affecting providers' training needs. The first part will provide a conceptual framework of the impact of ICT on the transport and logistics industry. In the second part the state of ICT dissemination in the Italian and Irish third party logistics industry will be outlined. In the third part, the impact of ICT on the training needs of transport and logistics service providers - based on case studies in both countries - are discussed. The implications of the foregoing for the development of appropriate training policies are considered. For the covering abstract see ITRD E126595.

EnDNA-Prot:identification of DNA-binding proteins by applying ensemble learning

DNA-binding proteins are crucial for various cellular processes, such as recognition of specific nucleotide, regulation of transcription, and regulation of gene expression. Developing an effective model for identifying DNA-binding proteins is an urgent research problem. Up to now, many methods have been proposed, but most of them focus on only one classifier and cannot make full use of the large number of negative samples to improve predicting performance. This study proposed a predictor called enDNA-Prot for DNA-binding protein identification by employing the ensemble learning technique. Experiential results showed that enDNA-Prot was comparable with DNA-Prot and outperformed DNAbinder and iDNA-Prot with performance improvement in the range of 3.97-9.52% in ACC and 0.08-0.19 in MCC. Furthermore, when the benchmark dataset was expanded with negative samples, the performance of enDNA-Prot outperformed the three existing methods by 2.83-16.63% in terms of ACC and 0.02-0.16 in terms of MCC. It indicated that enDNA-Prot is an effective method for DNA-binding protein identification and expanding training dataset with negative samples can improve its performance. For the convenience of the vast majority of experimental scientists, we developed a user-friendly web-server for enDNA-Prot which is freely accessible to the public. © 2014 Ruifeng Xu et al.

A Method for Solving a Class of Multiple-Criteria Analysis Problems

AMS subject classification: 90C29.

Combined quality function deployment and logical framework analysis to improve quality of emergency care in Malta

Purpose – The purpose of this paper is to develop an integrated patient-focused analytical framework to improve quality of care in accident and emergency (A&E) unit of a Maltese hospital. Design/methodology/approach – The study adopts a case study approach. First, a thorough literature review has been undertaken to study the various methods of healthcare quality management. Second, a healthcare quality management framework is developed using combined quality function deployment (QFD) and logical framework approach (LFA). Third, the proposed framework is applied to a Maltese hospital to demonstrate its effectiveness. The proposed framework has six steps, commencing with identifying patients’ requirements and concluding with implementing improvement projects. All the steps have been undertaken with the involvement of the concerned stakeholders in the A&E unit of the hospital. Findings – The major and related problems being faced by the hospital under study were overcrowding at A&E and shortage of beds, respectively. The combined framework ensures better A&E services and patient flow. QFD identifies and analyses the issues and challenges of A&E and LFA helps develop project plans for healthcare quality improvement. The important outcomes of implementing the proposed quality improvement programme are fewer hospital admissions, faster patient flow, expert triage and shorter waiting times at the A&E unit. Increased emergency consultant cover and faster first significant medical encounter were required to start addressing the problems effectively. Overall, the combined QFD and LFA method is effective to address quality of care in A&E unit. Practical/implications – The proposed framework can be easily integrated within any healthcare unit, as well as within entire healthcare systems, due to its flexible and user-friendly approach. It could be part of Six Sigma and other quality initiatives. Originality/value – Although QFD has been extensively deployed in healthcare setup to improve quality of care, very little has been researched on combining QFD and LFA in order to identify issues, prioritise them, derive improvement measures and implement improvement projects. Additionally, there is no research on QFD application in A&E. This paper bridges these gaps. Moreover, very little has been written on the Maltese health care system. Therefore, this study contributes demonstration of quality of emergency care in Malta.

Identifying DNA-binding proteins by combining support vector machine and PSSM distance transformation

Background: DNA-binding proteins play a pivotal role in various intra- and extra-cellular activities ranging from DNA replication to gene expression control. Identification of DNA-binding proteins is one of the major challenges in the field of genome annotation. There have been several computational methods proposed in the literature to deal with the DNA-binding protein identification. However, most of them can't provide an invaluable knowledge base for our understanding of DNA-protein interactions. Results: We firstly presented a new protein sequence encoding method called PSSM Distance Transformation, and then constructed a DNA-binding protein identification method (SVM-PSSM-DT) by combining PSSM Distance Transformation with support vector machine (SVM). First, the PSSM profiles are generated by using the PSI-BLAST program to search the non-redundant (NR) database. Next, the PSSM profiles are transformed into uniform numeric representations appropriately by distance transformation scheme. Lastly, the resulting uniform numeric representations are inputted into a SVM classifier for prediction. Thus whether a sequence can bind to DNA or not can be determined. In benchmark test on 525 DNA-binding and 550 non DNA-binding proteins using jackknife validation, the present model achieved an ACC of 79.96%, MCC of 0.622 and AUC of 86.50%. This performance is considerably better than most of the existing state-of-the-art predictive methods. When tested on a recently constructed independent dataset PDB186, SVM-PSSM-DT also achieved the best performance with ACC of 80.00%, MCC of 0.647 and AUC of 87.40%, and outperformed some existing state-of-the-art methods. Conclusions: The experiment results demonstrate that PSSM Distance Transformation is an available protein sequence encoding method and SVM-PSSM-DT is a useful tool for identifying the DNA-binding proteins. A user-friendly web-server of SVM-PSSM-DT was constructed, which is freely accessible to the public at the web-site on http://bioinformatics.hitsz.edu.cn/PSSM-DT/.

Gazdasági versenyképességet támogató pályázatok eredményessége az NFT és az ÚMFT keretében = The effectiveness of grants supporting economic development under hungary's national development plans

A Budapesti Corvinus Egyetem kutatócsoportja által végzett kutatás során arra a kérdésre kerestük a választ, hogy a Nemzeti Fejlesztési Terv (NFT) és az Új Magyarország Fejlesztési Terv (ÚMFT) keretében létrehozott, kis- és középvállalatok számára kialakított gazdaságfejlesztési pályázatok milyen hatékonysággal működnek. Hogyan volt képes a rendszer beépíteni az NFT Gazdasági Versenyképesség Operatív Program (GVOP) tapasztalatait az ÚMFT Gazdaságfejlesztési Operatív Programba (GOP). Továbbá, hogy maguk a kis- és középvállalatok miként értékelik ezen kiírásokat és milyen javaslatokat tennének az ilyen típusú pályázatok "felhasználóbaráttá" tételéhez. A kutatás 2009 márciusától 2009 decemberéig tartott. A kéziratot 2010 áprilisában zártuk. / === / In a research group of the Corvinus University of Budapest we aimed to answer the questions of efficiency and effectiveness of the economic development grants of the National Development Plan (2004-2006) and the New Hungarian Development Plan (2007-13) with the focus of small and medium sized enterprises (SME's). We tried to highlight the results of learning by doing of the first National Development Plan and how this practice was built into the second development plan. An emphasis was placed on the opinion of the SME's, how they evaluate the grants and what are their proposals to make the grant system more "user friendly".

Graled (Grapevine leaf digitalization) Software for the Detection and Graphic Reconstruction of Ampelometric Differences Between Vitis Leaves

Raster graphic ampelometric software was not exclusively developed for the estimation of leaf area, but also for the characterization of grapevine (Viti vinifera L.) leaves. The software was written in C-Hprogramming language, using the C-1-1- Builder 2007 for Windows 95-XP and Linux operation systems. It handles desktop-scanned images. On the image analysed with the GRA.LE.D., the user has to determine 11 points. These points are then connected and the distances between them calculated. The GRA.LE.D. software supports standard ampelometric measurements such as leaf area, angles between the veins and lengths of the veins. These measurements are recorded by the software and exported into plain ASCII text files for single or multiple samples. Twenty-two biometric data points of each leaf are identified by the GRA.LE.D. It presents the opportunity to statistically analyse experimental data, allows comparison of cultivars and enables graphic reconstruction of leaves using the Microsoft Excel Chart Wizard. The GRA. LE.D. was thoroughly calibrated and compared to other widely used instruments and methods such as photo-gravimetry, LiCor L0100, WinDIAS2.0 and ImageTool. By comparison, the GRA.LE.D. presented the most accurate measurements of leaf area, but the LiCor L0100 and the WinDIAS2.0 were faster, while the photo-gravimetric method proved to be the most time-consuming. The WinDIAS2.0 instrument was the least reliable. The GRA.LE.D. is uncomplicated, user-friendly, accurate, consistent, reliable and has wide practical application.

Effects of structured writing versus nonstructured writing as an effective and efficient teaching and learning strategy

This research investigated the effectiveness and efficiency of structured writing as compared to traditional nonstructured writing as a teaching and learning strategy in a training session for teachers.^ Structured writing is a method of identifying, interrelating, sequencing, and graphically displaying information on fields of a page or computer. It is an alternative for improving training and educational outcomes by providing an effective and efficient documentation methodology.^ The problem focuses upon the contradiction between: (a) the supportive research and theory to modify traditional methods of written documents and information presentation and (b) the existing paradigm to continue with traditional communication methods.^ A MANOVA was used to determine significant difference between a control and an experimental group in a posttest only experimental design. The experimental group received the treatment of structured writing materials during a training session. Two variables were analyzed. They were: (a) effectiveness; correct items on a posttest, and (b) efficiency; time spent on test.^ The quantitative data showed a difference for the experimental group on the two dependent variables. The experimental group completed the posttest in 2 minutes less time while scoring 1.5 more items correct. An interview with the training facilitators revealed that the structured writing materials were "user friendly." ^

Ranked search on data graphs

Graph-structured databases are widely prevalent, and the problem of effective search and retrieval from such graphs has been receiving much attention recently. For example, the Web can be naturally viewed as a graph. Likewise, a relational database can be viewed as a graph where tuples are modeled as vertices connected via foreign-key relationships. Keyword search querying has emerged as one of the most effective paradigms for information discovery, especially over HTML documents in the World Wide Web. One of the key advantages of keyword search querying is its simplicity—users do not have to learn a complex query language, and can issue queries without any prior knowledge about the structure of the underlying data. The purpose of this dissertation was to develop techniques for user-friendly, high quality and efficient searching of graph structured databases. Several ranked search methods on data graphs have been studied in the recent years. Given a top-k keyword search query on a graph and some ranking criteria, a keyword proximity search finds the top-k answers where each answer is a substructure of the graph containing all query keywords, which illustrates the relationship between the keyword present in the graph. We applied keyword proximity search on the web and the page graph of web documents to find top-k answers that satisfy user’s information need and increase user satisfaction. Another effective ranking mechanism applied on data graphs is the authority flow based ranking mechanism. Given a top- k keyword search query on a graph, an authority-flow based search finds the top-k answers where each answer is a node in the graph ranked according to its relevance and importance to the query. We developed techniques that improved the authority flow based search on data graphs by creating a framework to explain and reformulate them taking in to consideration user preferences and feedback. We also applied the proposed graph search techniques for Information Discovery over biological databases. Our algorithms were experimentally evaluated for performance and quality. The quality of our method was compared to current approaches by using user surveys.