Информационные технологии в банковской системе

Almost all activities of the Bank subject to the domination systems. The system itself involves a procedure control, a set of interconnected elements, procedures, methods, and many similar concepts. When the Bank is recruiting employees, it applies to this particular system, which involves placing ads on job interviews, the definition of appropriate skills, discussion of working conditions and so on. This process is a slender organized system with its internal procedures and prescribed norms

Targeted biological therapies for Graves’ disease and thyroid-associated ophthalmopathy. Focus on B-cell depletion with Rituximab

Based on experience from the treatment of other autoimmune diseases and because of the limitations imposed by existing therapeutic options for Graves’ disease (GD) and thyroid-associated ophthalmopathy (TAO), rituximab (RTX) was recently proposed as a novel therapy option. Here, we summarize the rationale for using RTX; give an overview of the possible mechanisms of action; and give an account of its effects and side-effects when used in GD and TAO. Scant evidence, originating from only a few methodologically inhomogeneous studies, suggests that RTX may prolong remission for hyperthyroidism over that seen with antithyroid drugs, at least in mild GD. Furthermore, in patients with TAO, who are unresponsive to conventional immunosuppressive therapy, RTX seems efficacious. As we wait for larger-scale randomized studies, RTX, should be considered experimental and reserved for patients who do not respond favourably to conventional therapy. It is the first in what is likely to be a series of new and emerging treatments specifically targeting relevant components of the immune system. Further studies will hopefully lead to improved and better tailored, individualized therapy for GD and especially TAO.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/79171/1/j.1365-2265.2010.03806.x.pd

Predictors for nurses and midwives' readiness towards self-directed learning: An integrated review

Aim. To systematically review the existing evidence on predictors for nurses and midwives' readiness towards Self-directed Learning (SDL). Background. Increased complexities in healthcare settings demand that nurses and midwives become involved in lifelong learning by means of self-directed learning (SDL) for delivering quality healthcare. More evidence is available for the self-directed learning readiness (SDLR) of nursing and midwifery students, less is systematically derived on predictors for nurses and midwives' readiness to SDL. Design. An integrative systematic review. Methods. Systematic searches were carried out using the following five electronic databases: PubMed, Science Direct, Google Scholar, Ovid Medline and Embase. Studies published in English language from 2000 to 2017 were included. The integrative systematic review framework developed by Whittemore and Knafl (2005) was used to analyse and summarise the key themes. Results. Of 804 initial screening papers, in total of eight eligible studies (six quantitative and two qualitative) were found. Integrative analysis resulted in four themes as predictors for nurses and midwives' readiness towards SDL: 1) personal characteristics, 2) working environment, 3) online learning and SDLR, and 4) process of SDL. Review found that, although demographic characteristics of nurses and midwives do not influence their SDLR, work environment often influences their SDLR. Furthermore, nurses and midwives have a positive interest in online learning that is often used to improve their knowledge acquisition. Conclusion. The review concludes that qualified nurses and midwives have a unique SDL predictors and process; hence, a personalized SDL programme should be prescribed based on personality traits so as to achieve better SDL outcomes. Future research should address the facilitating factors for SDLR, barriers to SDLR and strategies to improve SDLR among nurses and more importantly midwives, as limited evidence is available with respect to the latter

Ablative therapy for people with localised prostate cancer : a systematic review and economic evaluation

The research reported in this issue of the journal was funded by the HTA programme as project number 10/136/01. The contractual start date was in April 2012. The draft report began editorial review in October 2013 and was accepted for publication in April 2014. The authors have been wholly responsible for all data collection, analysis and interpretation, and for writing up their work. The HTA editors and publisher have tried to ensure the accuracy of the authors’ report and would like to thank the reviewers for their constructive comments on the draft document. However, they do not accept liability for damages or losses arising from material published in this report. Acknowledgements We thank l the people recruited from the local UCAN for providing valuable consumer insight and advice through their participation as members of the project focus group: - Mark Emberton (Professor of Interventional Oncology), Damian Greene (consultant urologist), Axel Heidenreich (Professor and Director of Department of Urology), Christoph von Klot (specialist in brachytherapy), Roger Kockelbergh (BAUS chairman and Clinical Director of Urology) and Axel Merserburger (Deputy Clinical Director of Urology and Urologic Oncology) for providing their clinical expertise as members of the project advisory group - Edgar Paez (consultant urologist) and Gill Lawrence (Head of Radiotherapy Physics) for providing a list of staff time by grade and specialty involved in EBRT - Debbie Bennett (Radiotherapy Service Manager) for providing estimates for the expected number of uses for EBRT - Ian Pedley (clinical director/clinical oncologist) and Gill Lawrence for providing a list of all resource inputs relevant to brachytherapy - Steve Locks (Consultant Clinical Scientist in Radiotherapy) for providing a list of reusable equipment and consumables used during brachytherapy, along with their unit costs - Sue Asterling (urology research nurse) and Mark Kelly (Acting Divisional General Manager – Theatres) for providing a list of all resource inputs relevant to cryotherapy - Lara Kemp for providing secretarial support. The Health Services Research Unit is core funded by the Chief Scientist Office of the Scottish Government Health Directorates.Peer reviewedPublisher PD

A joint physics and radiobiology DREAM team vision - Towards better response prediction models to advance radiotherapy.

Radiotherapy developed empirically through experience balancing tumour control and normal tissue toxicities. Early simple mathematical models formalized this practical knowledge and enabled effective cancer treatment to date. Remarkable advances in technology, computing, and experimental biology now create opportunities to incorporate this knowledge into enhanced computational models. The ESTRO DREAM (Dose Response, Experiment, Analysis, Modelling) workshop brought together experts across disciplines to pursue the vision of personalized radiotherapy for optimal outcomes through advanced modelling. The ultimate vision is leveraging quantitative models dynamically during therapy to ultimately achieve truly adaptive and biologically guided radiotherapy at the population as well as individual patient-based levels. This requires the generation of models that inform response-based adaptations, individually optimized delivery and enable biological monitoring to provide decision support to clinicians. The goal is expanding to models that can drive the realization of personalized therapy for optimal outcomes. This position paper provides their propositions that describe how innovations in biology, physics, mathematics, and data science including AI could inform models and improve predictions. It consolidates the DREAM team's consensus on scientific priorities and organizational requirements. Scientifically, it stresses the need for rigorous, multifaceted model development, comprehensive validation and clinical applicability and significance. Organizationally, it reinforces the prerequisites of interdisciplinary research and collaboration between physicians, medical physicists, radiobiologists, and computational scientists throughout model development. Solely by a shared understanding of clinical needs, biological mechanisms, and computational methods, more informed models can be created. Future research environment and support must facilitate this integrative method of operation across multiple disciplines

TRY plant trait database - enhanced coverage and open access

Plant traits-the morphological, anatomical, physiological, biochemical and phenological characteristics of plants-determine how plants respond to environmental factors, affect other trophic levels, and influence ecosystem properties and their benefits and detriments to people. Plant trait data thus represent the basis for a vast area of research spanning from evolutionary biology, community and functional ecology, to biodiversity conservation, ecosystem and landscape management, restoration, biogeography and earth system modelling. Since its foundation in 2007, the TRY database of plant traits has grown continuously. It now provides unprecedented data coverage under an open access data policy and is the main plant trait database used by the research community worldwide. Increasingly, the TRY database also supports new frontiers of trait-based plant research, including the identification of data gaps and the subsequent mobilization or measurement of new data. To support this development, in this article we evaluate the extent of the trait data compiled in TRY and analyse emerging patterns of data coverage and representativeness. Best species coverage is achieved for categorical traits-almost complete coverage for 'plant growth form'. However, most traits relevant for ecology and vegetation modelling are characterized by continuous intraspecific variation and trait-environmental relationships. These traits have to be measured on individual plants in their respective environment. Despite unprecedented data coverage, we observe a humbling lack of completeness and representativeness of these continuous traits in many aspects. We, therefore, conclude that reducing data gaps and biases in the TRY database remains a key challenge and requires a coordinated approach to data mobilization and trait measurements. This can only be achieved in collaboration with other initiatives

Stress Adaptation

We thank our numerous friends and colleagues for stimulating discussions about stress adaptation. We are also grateful to the following institutions for generously supporting our research. A.J.P.B was funded by the European Research Council (STRIFE, ERC-2009-AdG-249793), the UK Medical Research Council (MR/M026663/1 and MR/N006364/1), the UK Biotechnology and Biological Research Council (BB/K017365/1), and the Wellcome Trust (080088; 097377). L.E.C. is supported by the Canadian Institutes of Health Research Operating Grants (MOP-86452 and MOP-119520), the Natural Sciences and Engineering Research Council (NSERC) of Canada Discovery Grants (06261 and 462167), an NSERC E.W.R. Steacie Memorial Fellowship (477598), a National Institutes of Health R01 Grant (R01AI120958), and a Canada Research Chair in Microbial Genomics and Infectious Disease. Work in the A.D.P. laboratory is funded by grants from the Spanish Ministerio de Innovación y Competitividad (BIO2013-47870-R), the European Commission (Marie Curie ITN FUNGIBRAIN; FP7-PEOPLE-ITN-607963), and the Junta de Andalucia (BIO296). J.Q. is funded by the UK Biotechnology and Biological Research Council (BB/K016939/1) and the Wellcome Trust (097377).Peer reviewedPostprin