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The paper's aim is to determine the quality of transfer of information in relation to NHSLA criterion “on site handover of patient care” between doctors on delivery suite…
The paper's aim is to determine the quality of transfer of information in relation to NHSLA criterion “on site handover of patient care” between doctors on delivery suite of a UK teaching hospital.
A pilot project, supplemental to the existing system, was trialled on delivery suite to assess the usefulness of a locally modified, standardised instrument (CHAPS) tested previously among midwives at a UK hospital. This was a retrospective audit of the hard copies of the forms available over a period of six weeks.
A total of 69 (82 per cent) forms were available for analysis. Obstetric registrar did the handover in 45(65 per cent) while no information was available in 32 per cent. Satisfactory assessment of clinical picture and history was possible in 96 per cent and 90 per cent cases respectively. Patient assessment was deemed satisfactory in 90 per cent cases. Management plan was satisfactory in 88 per cent. Documentation regarding date and time of handover was present in 84 per cent and 77 per cent cases respectively. Signature of the personnel handing and taking over were identifiable in 64 per cent and 55 per cent cases respectively.
This pilot study was done in one clinical area at a single hospital over a short period. Wider use in other clinical areas treating different conditions is required to demonstrate global applicability.
This small study demonstrates good quality of transfer of information regarding patient care with the modified CHAPS instrument for handover between doctors on a delivery suite. It also raises the issues regarding poor documentation.
This is the only study of its kind hence comparisons could not be made. However it highlights the multiple issues regarding the complexities of handover of patient care between medical personnel.
The purpose of this study is to examine the relationship of corporate governance and corporate profitability on corporate value with corporate social responsibility (CSR…
The purpose of this study is to examine the relationship of corporate governance and corporate profitability on corporate value with corporate social responsibility (CSR) disclosure as the intervening variable.
The population of this study was all companies listed in Indonesia, China and India Stock Exchange in 2013-2016. The inferential statistics used in this study applied the partial least square-based (PLS-based) structural equation model (SEM) method with PLS. The PLS method was selected based on the consideration that there was a construct formed with reflective indicators in this study.
In Indonesia, corporate governance and corporate profitability have a significant and positive effect on CSR disclosure. Similarly, CSR disclosure and corporate profitability have a significant and positive impact on corporate value. Corporate governance indirectly influences corporate value, through mediation CSR disclosure. In China, corporate governance and corporate profitability have a significant and positive effect on CSR disclosure. Similarly, CSR disclosure and corporate governance have a significant and positive impact on corporate value. Corporate profitability indirectly affects corporate value, through mediation CSR disclosure. In India, corporate governance and corporate profitability have a significant and positive effect on CSR disclosure. The same thing is seen that CSR disclosure has a significant and positive effect on corporate value. Corporate governance and corporate profitability influence indirectly corporate value, through mediation CSR disclosure.
The study is one of the few studies to investigate and compare the relationship between corporate governance, corporate profitability, CSR and corporate value. The originality of this study is on the reason that many studies that have been conducted still indicated the inconsistency in the results and diversity of the indicators, so that a similar study was conducted by involving the indicators used for measuring the corporate governance variable, which were the proportion of independent commissioners and audit committee. Meanwhile, for the corporate profitability variable, ROA and ROE were used as the indicators. The originality of this study is that it is a comparative study in three countries in Asia, namely, China, India and Indonesia. The three countries have the highest population and highest economic growth in the past five years.
Bitcoin has indeed been universally acknowledged as an investment asset in recent decades, after the boom-and-bust of cryptocurrency values. Because of its extreme…
Bitcoin has indeed been universally acknowledged as an investment asset in recent decades, after the boom-and-bust of cryptocurrency values. Because of its extreme volatility, it requires accurate forecasts to build economic decisions. Although prior research has utilized machine learning to improve Bitcoin price prediction accuracy, few have looked into the plausibility of using multiple modeling approaches on datasets containing varying data types and volumetric attributes. Thus, this paper aims to propose a bitcoin price prediction model.
In this research work, a bitcoin price prediction model is introduced by following three major phases: Data collection, feature extraction and price prediction. Initially, the collected Bitcoin time-series data will be preprocessed and the original features will be extracted. To make this work good-fit with a high level of accuracy, we have been extracting the second order technical indicator based features like average true range (ATR), modified-exponential moving average (M-EMA), relative strength index and rate of change and proposed decomposed inter-day difference. Subsequently, these extracted features along with the original features will be subjected to prediction phase, where the prediction of bitcoin price value is attained precisely from the constructed two-level ensemble classifier. The two-level ensemble classifier will be the amalgamation of two fabulous classifiers: optimized convolutional neural network (CNN) and bidirectional long/short-term memory (BiLSTM). To cope up with the volatility characteristics of bitcoin prices, it is planned to fine-tune the weight parameter of CNN by a new hybrid optimization model. The proposed hybrid optimization model referred as black widow updated rain optimization (BWURO) model will be conceptual blended of rain optimization algorithm and black widow optimization algorithm.
The proposed work is compared over the existing models in terms of convergence, MAE, MAPE, MARE, MSE, MSPE, MRSE, Root Mean Square Error (RMSE), RMSPE and RMSRE, respectively. These evaluations have been conducted for both algorithmic performance as well as classifier performance. At LP = 50, the MAE of the proposed work is 0.023372, which is 59.8%, 72.2%, 62.14% and 64.08% better than BWURO + Bi-LSTM, CNN + BWURO, NN + BWURO and SVM + BWURO, respectively.
In this research work, a new modified EMA feature is extracted, which makes the bitcoin price prediction more efficient. In this research work, a two-level ensemble classifier is constructed in the price prediction phase by blending the Bi-LSTM and optimized CNN, respectively. To deal with the volatility of bitcoin values, a novel hybrid optimization model is used to fine-tune the weight parameter of CNN.
The Portuguese economy is characterised by the existence of small companies, for which it is very difficult to find critical dimensions to obtain scale economies to…
The Portuguese economy is characterised by the existence of small companies, for which it is very difficult to find critical dimensions to obtain scale economies to production, distribution, and commercialisation. It became an interesting field to study. This article will study an important Portuguese traditional sector, where quality and know‐how is a reality: the production and commercialisation of the furniture sector. Characterised by a small dimension, almost 3,400 firms with an average of 20 persons each, this article tries to understand the reason why these firms could or could not be interested in co‐operation nets, mergers or acquisitions, compatible with a bigger organisational dimension. While some are interested in co‐operating, increasing their dimension, others resist these changes due to some human resources and organisational behaviour problems.
This chapter provides an introduction to the smart city and engages with its idea and ideals from a critical social science perspective. After setting out in brief the…
This chapter provides an introduction to the smart city and engages with its idea and ideals from a critical social science perspective. After setting out in brief the emergence of smart cities and current key debates, we note a number of practical, political, and normative questions relating to citizenship, social justice, and the public good that warrant examination. The remainder of the chapter provides an initial framing for engaging with these questions. The first section details the dominant neoliberal conception and enactment of smart cities and how this works to promote the interests of capital and state power and reshape governmentality. We then detail some of the more troubling ethical issues associated with smart city technologies and initiatives. Having set out some of the more troubling aspects of how social relations are produced within smart cities, we then examine how citizens and citizenship have been conceived and operationalized in the smart city to date. We then follow this with a discussion of social justice and the smart city. In the fifth section, we explore the notion of the “right to the smart city” and how this might be used to recast the smart city in emancipatory and empowering ways. Finally, we set out how the book seeks to answer our questions and extend our initial framing, exploring the extent to which the “right to the city” should be a fundamental principle of smart city endeavors.
All individuals are challenged by the movement from being an adolescent living at home and attending school to being an adult typically heading a household and working to…
All individuals are challenged by the movement from being an adolescent living at home and attending school to being an adult typically heading a household and working to support him or herself. This period of time is called the transition to adulthood and is even more challenging for youth from vulnerable populations such as youth with disabilities, in foster care, in juvenile justice system, and the like (Osgood, Foster, Flanagan, & Ruth, 2005). The ages that transition encompasses have not gained consensus in research literature or policy. It begins at ages 14–16 in policies such as the Individuals with Disabilities Education Act (IDEA; PL101-476, 1997 and 2004 amendments) or Federal programs such as the Social Security Administration's SSI Youth Transition Demonstration Projects, which identifies ages 22 and 25, respectively, as ending transition. Recent studies on young adulthood in the general population (Settersten, Frustenberg, & Rumbaut, 2005), found that by age 30, the rapid changes of young adulthood had typically stabilized. Thus, using the broadest ages indicated by policy and research, transition to stable adulthood encompasses ages 14–30.