The List_Tree - an innovative solution to customer portfolio representation

The scale of BT's operations necessitates the use of very large scale computing systems, and the storage and management of large volumes of data. Customer product portfolios are an important form of data which can be difficult to store in a space efficient way. The difficulties arise from the inherently structured form of product portfolios, and the fact that they change over time as customers add or remove products. This paper introduces a new data-modelling abstraction called the List_Tree. It has been designed specifically to support the efficient storage and manipulation of customer product portfolios, but may also prove useful in other applications with similar general requirements.

Mitotic Arrest Deficiency Protein 2 (MAD2) and Histone Deacetylase 6 (HDAC6) Present a Complex Relationship in Their Regulation and Expression and Subsequent Impact on Chemoresponsiveness

Introduction:
Ovarian cancer patients presenting with advanced stage (III/IV)
canceraretreatedwithcarboplatinumincombinationwithpaclitaxel.Despitea
significant initial response rate, fewer than 20% of patients become long-term
survivors. We have published that low MAD2 expression levels associate with
reduced progression free survival (PFS) in patients with high-grade serous
epithelial ovarian cancer (EOC). Moreover, we have demonstrated that MAD2
expressionisdown-regulatedbythemicroRNAmiR-433(
Furlong et al., 2011
).
Interestingly, miR-433 also down-regulates HDAC6 (
Simon et al., 2010
), which
uniquely deacetylates
a
-tubulin prior to HDAC6s binding to
b
-tubulin.
In vitro
studies have shown that HDAC6 inhibition in combination with paclitaxel
treatment enhances chemoresistant cancer cell death. To date, an interaction
between MAD2 and HDAC6 has not been reported.
Experimental design:
MAD2 and HDAC6 immunohistochemistry (IHC) and
Western blot analyses were performed to investigate the role of HDAC6 and
MAD2 in chemoresistance to paclitaxel in high-grade serous EOC.
Results and Discussion:
In vitro
experiments demonstrated that overex-
pression of pre-miR-433, which targets MAD2, resulted in down-regulation
of HDAC6 in EOC cell lines. High levels of HDAC6 are co-expressed with
MAD2 in the paclitaxel resistant UPN251 and OVCAR7 cell lines. While, all
4 paclitaxel resistant EOC cell lines express higher levels of miR-433 than
the paclitaxel sensitive A2780 cells, only ovca432 and ovca433 demonstrated
down-regulation of both HDAC6 and MAD2. Paclitaxel binds to
b
-tubulin and
causesmicrotubulepolymerizationinpaclitaxelsensitivecellsasdemonstrated
by tubulin acetylation in A2780 cells. However, paclitaxel failed to cause a
significant acetylation of
a
-tubulin and microtubule stabilisation in the resistant
UPN251 cells. Therefore resistance in this cell line may be mediated by
aberrantly high HDAC6 activity. We have previously shown that MAD2 knock-
down cells are resistant to paclitaxel (
Furlong F., et al., 2011; Prencipe M.,
et al., 2009
). We measured HDAC6 protein expression in MAD2 knockdown
cells and showed that MAD2 knockdown is associated with concomitant
up-regulation of HDAC6. We hypothesise that the up-regulation of HDAC6
by MAD2 knockdown renders cancer cells more resistant to paclitaxel and
increases the invasive potential of these cells. On-going experiments will test
this hypothesis. Lastly we have observed differential MAD2 and HDAC6 IHC
staining intensity in formalin fixed paraffin embedded EOC samples.
In conclusion
, we have reported on a novel interaction between MAD2 and
HDAC6 which may have important consequences for paclitaxel resistant EOC.
Moreover, understanding chemo-responsiveness in ovarian tumours will lead
to improved patient management and treatment options for women diagnosed
with this disease

The Shifting Battleground of Article 4(2) TEU: Evolving National Identities and the corresponding need for EU management?

Article 4(2) TEU requires that the European Union (EU) respect the Member States’ national identities, creating a legal obligation enforceable before the CJEU and valuable in political negotiations. However, the concept of national identities is unclear, leaving open questions about the scope or parameters of the provision and its applicability. The CJEU appears likely to take a relatively flexible approach in light of Article 4(2) TEU’s relationship with national constitutional courts’ reserves. This flexible approach would enable Member States to rely upon a range of aspects as part of their national identity, including ones that were previously unidentified. This is a crucial feature if one considers that national identities may evolve gradually or even dramatically, including where Member States purposefully attempt to develop their national identities further. This possibility of an evolved national identity is exemplified by the French Charte de l’Environnement. It may thereby be possible for Member States to stretch the scope and application of Article 4(2) TEU through reference to these evolving national identities. This potential raises significant challenges for the EU regarding the management of Article 4(2) TEU, which it will need to address if it wishes to ensure harmonisation and uniformity in the relevant areas.

Arts Management and Cultural Policy

This chapter explores the relationship between cultural policy and arts management. A connection between policy and practice is visible through initiatives within specific localities, nations and at an international scale. Yet, there is little scholarship that develops our understanding of how these two areas interact, how ideas are exchanged and implemented, and where the power is located within this relationship. The approach to arts and cultural management in the UK has a history of professionalization that has developed increasing influence internationally. As a result, this chapter takes the UK as a case study and presents new empirical work to examine how educators and individuals practicing in both fields perceive the relationship of policymaking to the work of management.

Relationship between Azithromycin Susceptibility and Administration Efficacy for Nontypeable Haemophilus influenzae Respiratory Infection

Nontypeable Haemophilus influenzae (NTHI) is an opportunistic pathogen that is an important cause of acute exacerbations of chronic obstructive pulmonary disease (AECOPD). COPD is an inflammatory disease of the airways, and exacerbations are acute inflammatory events superimposed on this background of chronic inflammation. Azithromycin (AZM) is a macrolide antibiotic with antibacterial and anti-inflammatory properties and a clinically proven potential for AECOPD prevention and management. Relationships between AZM efficacy and resistance by NTHI and between bactericidal and immunomodulatory effects on NTHI respiratory infection have not been addressed. In this study, we employed two pathogenic NTHI strains with different AZM susceptibilities (NTHI 375 [AZM susceptible] and NTHI 353 [AZM resistant]) to evaluate the prophylactic and therapeutic effects of AZM on the NTHI-host interplay. At the cellular level, AZM was bactericidal toward intracellular NTHI inside alveolar and bronchial epithelia and alveolar macrophages, and it enhanced NTHI phagocytosis by the latter cell type. These effects correlated with the strain MIC of AZM and the antibiotic dose. Additionally, the effect of AZM on NTHI infection was assessed in a mouse model of pulmonary infection. AZM showed both preventive and therapeutic efficacies by lowering NTHI 375 bacterial counts in lungs and bronchoalveolar lavage fluid (BALF) and by reducing histopathological inflammatory lesions in the upper and lower airways of mice. Conversely, AZM did not reduce bacterial loads in animals infected with NTHI 353, in which case a milder anti-inflammatory effect was also observed. Together, the results of this work link the bactericidal and anti-inflammatory effects of AZM and frame the efficacy of this antibiotic against NTHI respiratory infection.

THE SAAF STUDY: evaluation of the Safeguarding Children Assessment and Analysis Framework (SAAF), compared with management as usual, for improving outcomes for children and young people who have experienced, or are at risk of, maltreatment: study protocol for a randomised controlled trial

Background: Serious case reviews and research studies have indicated weaknesses in risk assessments conducted by child protection social workers. Social workers are adept at gathering information but struggle with analysis and assessment of risk. The Department for Education wants to know if the use of a structured decision-making tool can improve child protection assessments of risk.

Methods/design: This multi-site, cluster-randomised trial will assess the effectiveness of the Safeguarding Children Assessment and Analysis Framework (SAAF). This structured decision-making tool aims to improve social workers' assessments of harm, of future risk and parents' capacity to change. The comparison is management as usual.

Inclusion criteria: Children's Services Departments (CSDs) in England willing to make relevant teams available to be randomised, and willing to meet the trial's training and data collection requirements.

Exclusion criteria: CSDs where there were concerns about performance; where a major organisational restructuring was planned or under way; or where other risk assessment tools were in use.

Six CSDs are participating in this study. Social workers in the experimental arm will receive 2 days training in SAAF together with a range of support materials, and access to limited telephone consultation post-training. The primary outcome is child maltreatment. This will be assessed using data collected nationally on two key performance indicators: the first is the number of children in a year who have been subject to a second Child Protection Plan (CPP); the second is the number of re-referrals of children because of related concerns about maltreatment. Secondary outcomes are: i) the quality of assessments judged against a schedule of quality criteria and ii) the relationship between the three assessments required by the structured decision-making tool (level of harm, risk of (re) abuse and prospects for successful intervention).

Discussion: This is the first study to examine the effectiveness of SAAF. It will contribute to a very limited literature on the contribution that structured decision-making tools can make to improving risk assessment and case planning in child protection and on what is involved in their effective implementation.

The role of trust in relationship development and performance improvement

The importance of inter-organizational trust to project success has been increasingly highlighted in the construction industry. This study aims to explore the role of trust between project parties. It adopts a combination of quantitative and qualitative methodologies. Based on the analysis of the responses of a questionnaire survey, trust is demonstrated to have a significant contribution to the development of cooperative or collaborative relationships; fostering trust proves to have a major influence on the improvement of project performance; and some relationship and performance indicators are found to have closer associations with trust than others so that trust is more important to
the development of relationship and the improvement of performance in these aspects. The analysis of questionnaire responses also provides significant evidence for the reduction in monitoring and control following the increase of mutual trust. The questionnaire survey is followed by a series of expert interviews, both of which contribute to the establishment of a model that links trust with relationship and performance and distinguishes the new approach that is based on trust from the traditional mechanism that relies on monitoring and control.

The Day After Tomorrow: Transition Management, Spatial Planning & the Low Carbon Economy

Many of the societal challenges that current spatial planning practice claims to be addressing (climate change, peak oil, obesity, aging society etc) encompass issues and timescales that lie beyond the traditional scope planning policy (Campbell 2006). The example of achieving a low carbon economy typifies this in that it demands a process of society-wide transition, involving steering a wide range of factors (markets, infrastructure, governance, individual behaviour etc). Such a process offers a challenge to traditional approaches to planning as they cannot be guided by a fixed blueprint, given the timescales involved (up to 50 years) and an enhanced level of uncertainty, social resistance, lack of control over implementation and a danger of ‘policy lock in’ (Kemp et al 2007). One approach to responding to these challenges is the concept of transition management which has emerged from studies of science, technology and innovation (Geels 2002, Markard et al 2012). Although not without criticism, this perspective attempts to uncertainty and complexity encompassing long term visions that integrates multi-level, multi-actor and multi-domain perspectives (Rotmans et al 2001).
 
Given its origins, research on transition management has tended to neglect spatial contexts (Coenen et al 2012) and, related to this, it’s relationship with spatial planning is poorly understood. Using the example of the low carbon transition, this paper will review the relationships between the concepts, methodologies and goals of transition management and spatial planning to explore whether a closer integration of the two fields offers benefits to achieving the long term challenges facing society.
 

Exploiting evidence from unstructured data to enhance master data management

Master data management (MDM) integrates data from multiple
structured data sources and builds a consolidated 360-
degree view of business entities such as customers and products.
Today’s MDM systems are not prepared to integrate
information from unstructured data sources, such as news
reports, emails, call-center transcripts, and chat logs. However,
those unstructured data sources may contain valuable
information about the same entities known to MDM from
the structured data sources. Integrating information from
unstructured data into MDM is challenging as textual references
to existing MDM entities are often incomplete and
imprecise and the additional entity information extracted
from text should not impact the trustworthiness of MDM
data.
In this paper, we present an architecture for making MDM
text-aware and showcase its implementation as IBM InfoSphere
MDM Extension for Unstructured Text Correlation,
an add-on to IBM InfoSphere Master Data Management
Standard Edition. We highlight how MDM benefits from
additional evidence found in documents when doing entity
resolution and relationship discovery. We experimentally
demonstrate the feasibility of integrating information from
unstructured data sources into MDM.

Essays on energy derivatives pricing and financial risk management

This thesis consists of an introductory chapter (essay I) and five more empirical essays on electricity markets and CO2 spot price behaviour, derivatives pricing analysis and hedging. Essay I presents the structure of the thesis and electricity markets functioning and characteristics, as well as the type of products traded, to be analyzed on the following essays. In the second essay we conduct an empirical study on co-movements in electricity markets resorting to wavelet analysis, discussing long-term dynamics and markets integration. Essay three is about hedging performance and multiscale relationships in the German electricity spot and futures markets, also using wavelet analysis. We concentrate the investigation on the relationship between coherence evolution and hedge ratio analysis, on a time-frequency-scale approach, between spot and futures which conditions the effectiveness of the hedging strategy. Essays four, five and six are interrelated between them and with the other two previous essays given the nature of the commodity analyzed, CO2 emission allowances, traded in electricity markets. Relationships between electricity prices, primary energy fuel prices and carbon dioxide permits are analyzed on essay four. The efficiency of the European market for allowances is examined taking into account markets heterogeneity. Essay five analyzes stylized statistical properties of the recent traded asset CO2 emission allowances, for spot and futures returns, examining also the relation linking convenience yield and risk premium, for the German European Energy Exchange (EEX) between October 2005 and October 2009. The study was conducted through empirical estimations of CO2 allowances risk premium, convenience yield, and their relation. Future prices from an ex-post perspective are examined to show evidence for significant negative risk premium, or else a positive forward premium. Finally, essay six analyzes emission allowances futures hedging effectiveness, providing evidence for utility gains increases with investor’s preference over risk. Deregulation of electricity markets has led to higher uncertainty in electricity prices and by presenting these essays we try to shed new lights about structuring, pricing and hedging in this type of markets.

Big data warehouse framework for smart revenue management

Revenue Management’s most cited definitions is probably “to sell the right accommodation to the right customer, at the right time and the right price, with optimal satisfaction for customers and hoteliers”. Smart Revenue Management (SRM) is a project, which aims the development of smart automatic techniques for an efficient optimization of occupancy and rates of hotel accommodations, commonly referred to, as revenue management. One of the objectives of this project is to demonstrate that the collection of Big Data, followed by an appropriate assembly of functionalities, will make possible to generate a Data Warehouse necessary to produce high quality business intelligence and analytics. This will be achieved through the collection of data extracted from a variety of sources, including from the web. This paper proposes a three stage framework to develop the Big Data Warehouse for the SRM. Namely, the compilation of all available information, in the present case, it was focus only the extraction of information from the web by a web crawler – raw data. The storing of that raw data in a primary NoSQL database, and from that data the conception of a set of functionalities, rules, principles and semantics to select, combine and store in a secondary relational database the meaningful information for the Revenue Management (Big Data Warehouse). The last stage will be the principal focus of the paper. In this context, clues will also be giving how to compile information for Business Intelligence. All these functionalities contribute to a holistic framework that, in the future, will make it possible to anticipate customers and competitor’s behavior, fundamental elements to fulfill the Revenue Management

Strategic Human Resource Management of Volunteers and the Link to Hospital Patient Satisfaction

This article uses strategic human resource management theory to consider the ways in which volunteers can potentially enhance hospital patient satisfaction. Results of a structural equation modeling analysis of multi-source data on 107 U.S. hospitals show positive associations between hospital strategy, volunteer management practices, volunteer workforce attributes, and patient satisfaction. Although no causality can be assumed, the results shed light on the volunteer–patient satisfaction relationship and have important implications for hospital leaders, volunteer administrators, and future research.

Population and landscape genetics of the stone marten and red fox in Portugal : implications for conservation management of common carnivores

Tese de doutoramento, Biologia (Biologia da Conservação), Universidade de Lisboa, Faculdade de Ciências, 2015

Investigating relationships between road freight transport, facility location, logistics management and urban form

This paper examines road freight transport activity and its relationship with facility location, logistics management and urban form through an analysis of 14 selected urban areas in the UK. Improved understanding of this relationship will assist planners when making transport and land use decisions. The findings suggest that several geographical, spatial and land use factors have important influences on freight activity in urban areas. Commercial and industrial land use patterns affect the types and quantities of goods produced, consumed, and hence the total quantity of freight transport handled. This also influences the distances over which goods are moved and by what specific mode. There has been relatively low growth in warehousing in many of the selected areas over the last decade compared to the national average as well suburbanisation of warehousing in some locations. This affects the origin and destination of journeys visiting these facilities and typically increases the distance of such journeys. A greater proportion of road freight has been shown to be lifted on internal journeys in large urban areas than in smaller ones. Journeys within urban areas have been shown to be less efficient than journeys to and from the urban area in the 14 locations studied due to the much smaller average vehicle carrying capacities and lower lading factors for journeys within urban areas. The length of haul on journeys to and from urban areas studied was found to be greatest for those areas with a major seaport and/or which were geographically remote. This affects the road freight transport intensity of goods transport journeys.