Nurses’ Perceptions of Importance and Achievability of the Ten Attributes of Health Literate Healthcare Organizations in their Institutions: A Descriptive

Health literacy defined is the degree to which individuals have the capacity to obtain process and understand basic health information to make appropriate health decisions (IOM, 2004). To be a health literate consumer, a person must be able to read, listen, understand, and make decisions related to their health. Hospitals seeking to be Health Literate Organizations must have a strong commitment to improving and reengineering to make it easier for patients to navigate, understand and use information and services to take care of their health (IOM, 2013). High quality, safe health care depends on clear communication between patients, families, providers, and health systems. Healthcare organizations need to recognize this and work toward addressing health literacy in their daily work. The purpose of this study was to examine the relationship between the perceived importance and perceived achievability of the IOM Ten Attributes of Health Literate Healthcare Organizations among Quality Improvement Registered Nurses working in acute care hospitals across the United States. A survey was designed to yield descriptive and correlational data among study variables. These types of studies often provide useful information about relationships among variables as well as identifying possible gaps that, by filling, may improve the quality and safety of care provided to patients. The results of the study revealed being a Health Literate Organization is perceived by quality improvement nurses as both important and achievable. In a majority of the sample population studied the participants determined on average over 70% of the time the IOM Ten Attributes of Health Literate Healthcare Organizations were perceived to be important and achievable. A small percent on average (\u3c 8%), of those quality improvement nurses surveyed perceived the attributes were not important or achievable. The healthcare challenge for those hospitals seeking to become Health Literate Organizations will be to integrate the IOM Ten Attributes into their everyday work flow. Implementation will require making clear and effective communication a priority with leadership support being critical to success. Changes such as hardwiring new and innovative processes into place to effect open communication among all staff, providers, patients and families will need to occur. The potential results are momentous, actively engaged patients who are experiencing safe, effective care with improved health outcomes at hospitals which are successfully meeting the needs of all populations being cared for –the ultimate goal of becoming a Health Literate Organization

Vertical Federated Learning:A Structured Literature Review

Federated Learning (FL) has emerged as a promising distributed learning paradigm with an added advantage of data privacy. With the growing interest in having collaboration among data owners, FL has gained significant attention of organizations. The idea of FL is to enable collaborating participants train machine learning (ML) models on decentralized data without breaching privacy. In simpler words, federated learning is the approach of ``bringing the model to the data, instead of bringing the data to the mode''. Federated learning, when applied to data which is partitioned vertically across participants, is able to build a complete ML model by combining local models trained only using the data with distinct features at the local sites. This architecture of FL is referred to as vertical federated learning (VFL), which differs from the conventional FL on horizontally partitioned data. As VFL is different from conventional FL, it comes with its own issues and challenges. In this paper, we present a structured literature review discussing the state-of-the-art approaches in VFL. Additionally, the literature review highlights the existing solutions to challenges in VFL and provides potential research directions in this domain

Vertical Federated Learning: A Structured Literature Review

Federated Learning (FL) has emerged as a promising distributed learning paradigm with an added advantage of data privacy. With the growing interest in having collaboration among data owners, FL has gained significant attention of organizations. The idea of FL is to enable collaborating participants train machine learning (ML) models on decentralized data without breaching privacy. In simpler words, federated learning is the approach of ``bringing the model to the data, instead of bringing the data to the mode''. Federated learning, when applied to data which is partitioned vertically across participants, is able to build a complete ML model by combining local models trained only using the data with distinct features at the local sites. This architecture of FL is referred to as vertical federated learning (VFL), which differs from the conventional FL on horizontally partitioned data. As VFL is different from conventional FL, it comes with its own issues and challenges. In this paper, we present a structured literature review discussing the state-of-the-art approaches in VFL. Additionally, the literature review highlights the existing solutions to challenges in VFL and provides potential research directions in this domain

Responsible AI and the arts: the ethical and legal implications of AI in the arts and creative industries

This position piece starts to examine the ways in which AI-based autonomous technologies have begun to influence a range of human activities in the arts and creative industries.The rise of AI-generated art could potentially transform the act of creation and impact our understandings of creativity – from painting, writing, and music composition, to video animation. At the same time, there is increasing debate about the social, ethical, and legal implications of using these tools (eg copyright, biased data sets, devaluing artistic processes). Responsible Innovation (RI) could have a crucial role to play in understanding and responding to the complexity of debates. We will explore and unpack how artists, AI developers and associated audiences/consumers of art have started to approach some of these issues. We will use these ideas as a starting point to explicate and further develop discourses surrounding the challenges associated with these technologies in the context of the creative industries. Finally, we will investigate how and if these challenges might be addressed

Intracoronary Thermography: a vulnerable Plaque Detection Technique?

The studies reported in this thesis were performed to answer the central question: can intracoronary thermography be used for vulnerable plaque detection? To answer this question, we have identified parameters that influence intracoronary thermography measurements, and have studied to what extend they do so. The parameters that we have studied and discussed were identified in chapter 2, in which we combined a review of existing publications on intracoronary thermography with related biological and physical aspects. These parameters were studied, and the results of these studies are described in chapters3 through6. In this final chapter we will summarize theresults from these chapters and discuss them regarding the aspects of heat generation, heat transfer and heat detection. Finally, we will conclude with a future perspective for intracoronary thermography

Роль икт технологий в популяризации научных знаний

The influence of information and communication technologies on the level of education in contemporary society is studied.Анализируется влияние информационно‐коммуникационных технологий на уровень образования современного общества

Разработка программных средств для определения основных показателей, характеризующих пассажиропоток автобусного маршрута

The work presents the software tools for calculating basic indices of passenger  traffic on bus routes.

Comparing Factors Influencing Heavy Episodic Drinking of Young Adults in the United Kingdom and The Netherlands

The United Kingdom and the Netherlands exhibit similar levels of heavy episodic drinking but different drinking patterns among youths. This study aimed to assess the impact of country of residence on heavy episodic drinking among 293 British and Dutch youths, accounting for other behavioral determinants. Participants completed online questionnaires measuring impulsivity, sensation-seeking, alcohol consumption, and constructs from the Theory of Planned Behavior [TPB]. Mediation analysis established that British youths engaged in more frequent heavy drinking episodes than Dutch youths, as they had weaker intentions to refrain from heavy drinking, and lower perceived behavioral control. Country of residence also was a direct predictor of frequency of heavy drinking episodes, not mediated by personality traits. Thus, country of residence seems an important factor in heavy episodic drinking, partly mediated through TPB constructs. Interventions may benefit from targeting country-specific drinking behavior and related socio-psychological mechanisms.</p