University of Bradford

As far back as the industrial revolution, significant development in technical innovation has succeeded in transforming numerous manual tasks and processes that had been in existence for decades where humans had reached the limits of physical capacity. Artificial Intelligence (AI) offers this same transformative potential for the augmentation and potential replacement of human tasks and activities within a wide range of industrial, intellectual and social applications. The pace of change for this new AI technological age is staggering, with new breakthroughs in algorithmic machine learning and autonomous decision-making, engendering new opportunities for continued innovation. The impact of AI could be significant, with industries ranging from: finance, healthcare, manufacturing, retail, supply chain, logistics and utilities, all potentially disrupted by the onset of AI technologies. The study brings together the collective insight from a number of leading expert contributors to highlight the significant opportunities, realistic assessment of impact, challenges and potential research agenda posed by the rapid emergence of AI within a number of domains: business and management, government, public sector, and science and technology. This research offers significant and timely insight to AI technology and its impact on the future of industry and society in general, whilst recognising the societal and industrial influence on pace and direction of AI development.

Monte Carlo tree search (MCTS) is a recently proposed search method that combines the precision of tree search with the generality of random sampling. It has received considerable interest due to its spectacular success in the difficult problem of computer Go, but has also proved beneficial in a range of other domains. This paper is a survey of the literature to date, intended to provide a snapshot of the state of the art after the first five years of MCTS research. We outline the core algorithm's derivation, impart some structure on the many variations and enhancements that have been proposed, and summarize the results from the key game and nongame domains to which MCTS methods have been applied. A number of open research questions indicate that the field is ripe for future work.

The use of the internet and social media have changed consumer behavior and the ways in which companies conduct their business. Social and digital marketing offers significant opportunities to organizations through lower costs, improved brand awareness and increased sales. However, significant challenges exist from negative electronic word-of-mouth as well as intrusive and irritating online brand presence. This article brings together the collective insight from several leading experts on issues relating to digital and social media marketing. The experts’ perspectives offer a detailed narrative on key aspects of this important topic as well as perspectives on more specific issues including artificial intelligence, augmented reality marketing, digital content management, mobile marketing and advertising, B2B marketing, electronic word of mouth and ethical issues therein. This research offers a significant and timely contribution to both researchers and practitioners in the form of challenges and opportunities where we highlight the limitations within the current research, outline the research gaps and develop the questions and propositions that can help advance knowledge within the domain of digital and social marketing.

The motion of an artificial microscale swimmer that uses a chemical reaction catalyzed on its own surface to achieve autonomous propulsion is fully characterized experimentally. It is shown that at short times it has a substantial component of directed motion, with a velocity that depends on the concentration of fuel molecules. At longer times, the motion reverts to a random walk with a substantially enhanced diffusion coefficient. Our results suggest strategies for designing artificial chemotactic systems.

ABSTRACT The paper recommends an acceptable methodology for recording electrodermal activity which reflects a consensus of experts in the field. These recommendations are presented with a minimum of technical discussion in order to maximize their usefulness to investigators who are not specialists in this area. For most purposes, skin conductance (SC) is to be preferred over skin potential (SP). It is recommended that SC be recorded from palmar sites with silver‐silver chloride electrodes and an electrode paste consisting of a sodium chloride electrolyte in a neutral ointment cream medium. The area of contact with the skin should be controlled and time allowed for stabilization of the skin‐electrode paste interface. Electrode bias potentials and polarization should be monitored during use. Signal conditioning is achieved by the application of a constant 0.5 volt across the electrodes and measurement of the resultant current flow by amplifying the voltage developed across a small resistor in series with the skin. The measurement of the amplitude‐or even the detection‐of small responses requires some form of tonic level control, permitting an adjustment of the tonic level. A circuit is provided for signal conditioning and tonic level control. SP can be recorded with the same electrodes and electrode paste, unless the results are to be related to the British work on SP level, in which case the original potassium chloride electrolyte in an agar medium should be used. SP recordings require that one of the electrodes be placed over an inactive reference site, preferably over the ulnar bone near the elbow. No external voltage is applied, but some form of tonic level control may be needed. Electrodes need to be checked for bias potentials but not polarization.

1. Origins, Purposes, Limitations And The Data Bank 2. A Geometrical Approach To Factor Analysis 3. The Orthogonal Extraction Of Factors 4. Rotating And Interpreting Factors 5. Confirmatory Factor Analysis And Cluster Analysis 6. Some Applications Appendix A Considerations When Carrying Out A Factor Analysis Appendix B Matrix Algebra Appendix C Finding Factors Using The Centroid Method Appendix D Significance Levels For Pearson Product-Moment Correlation Coefficients References Index.

OBJECTIVE: To determine whether there is an association between healthcare professionals' wellbeing and burnout, with patient safety. DESIGN: Systematic research review. DATA SOURCES: PsychInfo (1806 to July 2015), Medline (1946 to July 2015), Embase (1947 to July 2015) and Scopus (1823 to July 2015) were searched, along with reference lists of eligible articles. ELIGIBILITY CRITERIA FOR SELECTING STUDIES: Quantitative, empirical studies that included i) either a measure of wellbeing or burnout, and ii) patient safety, in healthcare staff populations. RESULTS: Forty-six studies were identified. Sixteen out of the 27 studies that measured wellbeing found a significant correlation between poor wellbeing and worse patient safety, with six additional studies finding an association with some but not all scales used, and one study finding a significant association but in the opposite direction to the majority of studies. Twenty-one out of the 30 studies that measured burnout found a significant association between burnout and patient safety, whilst a further four studies found an association between one or more (but not all) subscales of the burnout measures employed, and patient safety. CONCLUSIONS: Poor wellbeing and moderate to high levels of burnout are associated, in the majority of studies reviewed, with poor patient safety outcomes such as medical errors, however the lack of prospective studies reduces the ability to determine causality. Further prospective studies, research in primary care, conducted within the UK, and a clearer definition of healthcare staff wellbeing are needed. IMPLICATIONS: This review illustrates the need for healthcare organisations to consider improving employees' mental health as well as creating safer work environments when planning interventions to improve patient safety. SYSTEMATIC REVIEW REGISTRATION: PROSPERO registration number: CRD42015023340.

Animal experiments remain essential to understand the fundamental mechanisms underpinning malignancy and to discover improved methods to prevent, diagnose and treat cancer. Excellent standards of animal care are fully consistent with the conduct of high quality cancer research. Here we provide updated guidelines on the welfare and use of animals in cancer research. All experiments should incorporate the 3Rs: replacement, reduction and refinement. Focusing on animal welfare, we present recommendations on all aspects of cancer research, including: study design, statistics and pilot studies; choice of tumour models (e.g., genetically engineered, orthotopic and metastatic); therapy (including drugs and radiation); imaging (covering techniques, anaesthesia and restraint); humane endpoints (including tumour burden and site); and publication of best practice.

The content validity ratio originally proposed by Lawshe is widely used to quantify content validity and yet methods used to calculate the original critical values were never reported. Methods for original calculation of critical values are suggested along with tables of exact binomial probabilities.

BACKGROUND: frailty is an especially problematic expression of population ageing. International guidelines recommend routine identification of frailty to provide evidence-based treatment, but currently available tools require additional resource. OBJECTIVES: to develop and validate an electronic frailty index (eFI) using routinely available primary care electronic health record data. STUDY DESIGN AND SETTING: retrospective cohort study. Development and internal validation cohorts were established using a randomly split sample of the ResearchOne primary care database. External validation cohort established using THIN database. PARTICIPANTS: patients aged 65-95, registered with a ResearchOne or THIN practice on 14 October 2008. PREDICTORS: we constructed the eFI using the cumulative deficit frailty model as our theoretical framework. The eFI score is calculated by the presence or absence of individual deficits as a proportion of the total possible. Categories of fit, mild, moderate and severe frailty were defined using population quartiles. OUTCOMES: outcomes were 1-, 3- and 5-year mortality, hospitalisation and nursing home admission. STATISTICAL ANALYSIS: hazard ratios (HRs) were estimated using bivariate and multivariate Cox regression analyses. Discrimination was assessed using receiver operating characteristic (ROC) curves. Calibration was assessed using pseudo-R(2) estimates. RESULTS: we include data from a total of 931,541 patients. The eFI incorporates 36 deficits constructed using 2,171 CTV3 codes. One-year adjusted HR for mortality was 1.92 (95% CI 1.81-2.04) for mild frailty, 3.10 (95% CI 2.91-3.31) for moderate frailty and 4.52 (95% CI 4.16-4.91) for severe frailty. Corresponding estimates for hospitalisation were 1.93 (95% CI 1.86-2.01), 3.04 (95% CI 2.90-3.19) and 4.73 (95% CI 4.43-5.06) and for nursing home admission were 1.89 (95% CI 1.63-2.15), 3.19 (95% CI 2.73-3.73) and 4.76 (95% CI 3.92-5.77), with good to moderate discrimination but low calibration estimates. CONCLUSIONS: the eFI uses routine data to identify older people with mild, moderate and severe frailty, with robust predictive validity for outcomes of mortality, hospitalisation and nursing home admission. Routine implementation of the eFI could enable delivery of evidence-based interventions to improve outcomes for this vulnerable group.

Four hundred and seventy-five strains, which included 394 type cultures of Streptomyces and representatives of 14 other actinomycete genera, were studied. Overall similarities of these strains for 139 unit characters were determined by the SSM and SJ coefficients and clustering by the UPGMA algorithm. Test error and overlap between the phena defined were within acceptable limits. Cluster-groups were defined by the SSM coefficient at the 70.1% similarity (S) level and by the SJ coefficient at the 50% S-level. Clusters were distinguished at the 77.5% SSM and 63% SJ S-levels. Groupings obtained with the two coefficients were generally similar, but there were some changes in the definition and membership of cluster-groups and clusters. The phenetic data obtained, together with those from previous diverse studies, indicated that the genera Actinopycnidium, Actinosporangium, Chainia, Elytrosporangium, Kitasatoa and Microellobosporia should be reduced to synonyms of Streptomyces, while Intrasporangium, Nocardioides and Streptoverticillium remained as distinct genera in the family Streptomycetaceae. Nocardiopsis dassonvillei also showed strong phenetic affinity to Streptomyces, despite its chemotaxonomic differences. Actinomadura sensu stricto was phenetically distinguishable from Streptomyces and 'Nocardia' mediterranea was recognized as a taxon distinct from both these genera and from Nocardia sensu stricto. Most of the Streptomyces type cultures fell into one large cluster-group. At the 77.5% SSM S-level, they were recovered in 19 major and 40 minor clusters, with 18 strains recovered as single member clusters. The status of the latter as species was therefore confirmed. Most of the minor clusters, consisting of two to five strains, can also be regarded as species. The major clusters varied in size (from 6 to 71 strains) and in there homogeneity. Therefore, it is suggested that they be regarded as species-groups until further information is available. The results provide a basis for the reduction of the large number of Streptomyces species which have been described. They also demonstrate that the previous use of a limited number of subjectively chosen characters to define species-groups or species has resulted in artificial classifications.

The 5th edition of Model Building in Mathematical Programming discusses the general principles of model building in mathematical programming and demonstrates how they can be applied by using several simplified but practical problems from widely different contexts. Suggested formulations and solutions are given together with some computational experience to give the reader a feel for the computational difficulty of solving that particular type of model. Furthermore, this book illustrates the scope and limitations of mathematical programming, and shows how it can be applied to real situations. By emphasizing the importance of the building and interpreting of models rather than the solution process, the author attempts to fill a gap left by the many works which concentrate on the algorithmic side of the subject.

Abstract: This study investigates the relationship between the corporate governance structure and performance of 347 companies listed on the Kuala Lumpur Stock Exchange (KLSE) between 1996 and 2000. We found board size and top five substantial shareholdings to be significantly associated with both market and accounting performance measures. In addition, we found a significant relationship between multiple directorships and market performance while role duality and managerial shareholdings are significantly associated with accounting performance. The result is robust with respect to controls for gearing, company size, industry membership and growth opportunities.

Outlines 15 explanations for the fog which has enveloped the nascent domains of corporate identity and corporate marketing. However, the fog surrounding the area has a silver lining. This is because the fog has, unwittingly, led to the emergence of rich disciplinary, philosophical as well as “national”, schools of thought. In their composite, these approaches have the potential to form the foundations of a new approach to management which might be termed “corporate marketing”. In addition to articulating the author’s understanding of the attributes regarding a business identity (the umbrella label used to cover corporate identity, organisational identification and visual identity) the author outlines the characteristics of corporate marketing and introduces a new corporate marketing mix based on the mnemonic “HEADS”[2]. This relates to what an organisation has, expresses, the affinities of its employees, as well as what the organisation does and how it is seen by stakeholder groups and networks. In addition, the author describes the relationship between the corporate identity and corporate brand and notes the differences between product brands and corporate brands. Finally, the author argues that scholars need to be sensitive to the factors that are contributing to the fog surrounding corporate identity. Only then will business identity/corporate marketing studies grow in maturity.

Current concepts in the field of Total Quality Management (TQM) are largely based upon case studies, anecdotal evidence and the prescriptions of leading “gurus.” Consequently, there is little consensus on which factors are critical to the success of the approach. Few attempts have been made to scientifically synthesise frameworks for measuring quality management practices, and a methodology for examining the issue has yet to be established. This has meant that current TQM models, such as the Malcolm Baldrige Award, have not been constructed or validated by empirical means. This paper presents a research methodology that can be used to improve self‐assessment frameworks, such as the Baldrige Award, to better inform organisations in the development of Total Quality Systems. The research extracts a series of items from the Baldrige model and established literature. These items formed the basis of a questionnaire sent to over 200 managers. Data was examined using several well‐established analytical techniques that identified 10 critical factors of TQM. These factors were shown to be reliable and valid, and offer new insights into our understanding of TQM.

PyMOL , a cross‐platform molecular graphics tool, has been widely used for three‐dimensional ( 3D ) visualization of proteins, nucleic acids, small molecules, electron densities, surfaces, and trajectories. It is also capable of editing molecules, ray tracing, and making movies. This Python‐based software, alongside many Python plugin tools, has been developed to enhance its utilities and facilitate the drug design in PyMOL . To gain an insightful view of useful drug design tools and their functions in PyMOL , we present an extensive discussion on various molecular modeling modules in PyMOL , covering those for visualization and analysis enhancement, protein–ligand modeling, molecular simulations, and drug screening. This review provides an excellent introduction to present 3D structures visualization and computational drug design in PyMOL . WIREs Comput Mol Sci 2017, 7:e1298. doi: 10.1002/wcms.1298 This article is categorized under: Structure and Mechanism > Molecular Structures Computer and Information Science > Visualization Molecular and Statistical Mechanics > Molecular Mechanics

The first edition of this book was reviewed in 1982 as 'the most extensive treatment of Padé approximants actually available'. This second edition has been thoroughly updated, with a substantial chapter on multiseries approximants. Applications to statistical mechanics and critical phenomena are extensively covered, and there are extended sections devoted to circuit design, matrix Pade approximation, and computational methods. This succinct and straightforward treatment will appeal to scientists, engineers, and mathematicians alike.

Notes that many companies pay “lip service” to the idea of innovation and stresses that becoming innovative requires an organisational culture which nurtures innovation and is conducive to creativity. Considers the nature of organisational climate and of organisational culture, focusing on factors which make for an effective organisational culture. Looks at the interplay between various organisational factors and innovation and suggests elements which promote innovation. Concludes that the most innovative companies of the future will be those which have created appropriate cultures and climates.

Recent studies of the pragmatics of politeness have drawn on conversational data. I argue that their model can be extended to some genres of written texts. There have been two obstacles to such an extension: the lack of a definite addressee for published texts, and the dificulty of defining relevant cultural variables. Taking a corpus of articles by molecular geneticists, I assume a simple model of a two-part audience, and focus on two kinds of impositions: claims and denials of claims. With this framework, one can see politeness claims and denials of claims. With this framework, one can see politeness strategies in regularities of scientific style—such as the use of pronouns and of passives—that are usually explained in terms of conventions. The analysis also accounts for some otherwise unexplained stylistic features, such as the use of adverbs in establishing solidarity, and the use of personal attribution in hedging. With these positive and negative politeness strategies in mind, we can understand better the social significance of the occasional instances in which the writer makes an imposition without redress, or makes the imposition indirectly or chooses not to make it at all. Comparisons with popularizations, a genre in which the writer has a different kind of relation to the reader, and thus uses different kinds of politeness devices, show that these devices arise in response to the interaction embodied in the text.

We report here the genome sequence of an ancient human. Obtained from ∼4,000-year-old permafrost-preserved hair, the genome represents a male individual from the first known culture to settle in Greenland. Sequenced to an average depth of 20×, we recover 79% of the diploid genome, an amount close to the practical limit of current sequencing technologies. We identify 353,151 high-confidence single-nucleotide polymorphisms (SNPs), of which 6.8% have not been reported previously. We estimate raw read contamination to be no higher than 0.8%. We use functional SNP assessment to assign possible phenotypic characteristics of the individual that belonged to a culture whose location has yielded only trace human remains. We compare the high-confidence SNPs to those of contemporary populations to find the populations most closely related to the individual. This provides evidence for a migration from Siberia into the New World some 5,500 years ago, independent of that giving rise to the modern Native Americans and Inuit. For the first time, the sequence of a near-complete nuclear genome has been obtained from the tissue of an ancient human. It comes from permafrost-preserved hair, about 4,000 years old, of a male palaeo-Eskimo of the Saqqaq culture, the earliest known settlers in Greenland. Functional single-nucleotide polymorphism (SNP) assessment was used to assign possible phenotypic characteristics. The analysis provides evidence for a migration from Siberia into the New World some 5,500 years ago, independent of the migration that gave rise to the modern Native Americans and Inuit. Elsewhere in the issue we profile the paper's last author Eske Willerslev, who headed the project and found the lock of hair in a Copenhagen museum basement — after a fruitless search among the archaeological sites of Peary Land. The first genome sequence of an ancient human is reported. It comes from an approximately 4,000-year-old permafrost-preserved hair from a male from the first known culture to settle in Greenland. Functional single-nucleotide polymorphism (SNP) assessment is used to assign possible phenotypic characteristics and high-confidence SNPs are compared to those of contemporary populations to find those most closely related to the individual.