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The Great Good Place Cafes Coffee Shops Community Centers Beauty Parlors General Stores Bars Hangouts And How They Get You Through The Day

The environment and social behavior

The Great Good Place: Cafes, Coffee Shops, Community Centers, Beauty Parlors, General Stores, Bars, Hangouts, and How They Get You Through the Day

Device-to-device (D2D) communication is a promising paradigm to meet the requirement of ultra-dense, low-latency and high-rate in the fifth-generation networks. However, energy consumption is a critical issue for the D2D communication, especially for D2D relay networks. To make the best use of D2D communication, the problem of optimizing energy efficiency (EE) must be addressed. In this paper, we propose a joint power allocation and relay selection (JPARS) scheme for the improvement of energy efficiency in relay-aided D2D communications underlaying cellular network. A mixed integer nonlinear fractional programming (MINLP) problem of the total EE for D2D pairs is formulated. While ensuring the quality of service (QoS) of cellular users and D2D links, we solve the power allocation problem by Dinkelbach method and Lagrange dual decomposition. After that, Q-learning, one of the reinforcement learning algorithms, is employed to solve the relay selection problem. Finally, we provide in-depth theoretical analysis of the proposed scheme in terms of complexity and signaling overhead. Simulation results verify that the proposed scheme not only overcomes the bottleneck effect, but also nearly reaches the theoretical maximum in terms of the total EE of D2D pairs.

Energy-Efficient Power Allocation and Q-Learning-Based Relay Selection for Relay-Aided D2D Communication

https://www.mdpi.com/2227-9032/9/1/83/pdf

Age-Friendly Health Care: A Systematic Review.

Background For successful aging-in-place strategy development, in-home monitoring technology is necessary as a new home modification strategy. Monitoring an older adult’s daily physical activity at home can positively impact their health and well-being by providing valuable information about functional, cognitive, and social health status. However, it is questionable how these in-home monitoring technologies have changed the traditional residential environment. A comprehensive review of existing research findings should be utilized to characterize recent relative technologies and to inform design considerations. Objective The main purpose of this study was to classify recent smart home technologies that monitor older adults’ health and to architecturally describe these technologies as they are used in older adults’ homes. Methods The scoping review method was employed to identify key characteristics of in-home monitoring technologies for older adults. In June 2021, four databases, including Web of Science, IEEE Xplore, ACM Digital Library, and Scopus, were searched for peer-reviewed articles pertaining to smart home technologies used to monitor older adults’ health in their homes. We used two search strings to retrieve articles: types of technology and types of users. For the title, abstract, and full-text screening, the inclusion criteria were original and peer-reviewed research written in English, and research on monitoring, detecting, recognizing, analyzing, or tracking human physical, emotional, and social behavior. The exclusion criteria included theoretical, conceptual, or review papers; studies on wearable systems; and qualitative research. Results This scoping review identified 30 studies published between June 2016 and 2021 providing overviews of in-home monitoring technologies, including (1) features of smart home technologies and (2) sensor locations and sensor data. First, we found six functions of in-home monitoring technology among the reviewed papers: daily activities, abnormal behaviors, cognitive impairment, falls, indoor person positioning, and sleep quality. Most of the research (n=27 articles) focused on functional monitoring and analysis, such as activities of daily living, instrumental activities of daily living, or falls among older adults; a few studies (n=3) covered social interaction monitoring. Second, this scoping review also found 16 types of sensor technologies. The most common data types encountered were passive infrared motion sensors (n=21) and contact sensors (n=19), which were used to monitor human behaviors such as bodily presence and time spent on activities. Specific locations for each sensor were also identified. Conclusions This wide-ranging synthesis demonstrates that in-home monitoring technologies within older adults’ homes play an essential role in aging in place, in that the technology monitors older adults’ daily activities and identifies various health-related issues. This research provides a key summarization of in-home monitoring technologies that can be applied in senior housing for successful aging in place. These findings will be significant when developing home modification strategies or new senior housing.

/pdf/in-home-monitoring-technology-for-aging-in-place-scoping-28rufvnk.pdf

In-Home Monitoring Technology for Aging in Place: Scoping Review

To see or not to see: Investigating the links between patient visibility and potential moderators affecting the patient experience

Aim:The main purpose of this research was to identify significant relationships between environmental hazards and older adults’ falling.Background:Falls can present a major health risk to older per...

Fall Hazards Within Senior Independent Living: A Case-Control Study

The Veteran's Administration (VA), recognizing the potential influence that nurturing interior environments may have on patient well-being, has been designing and constructing mental health settings intended to calm, restore, and revive. Unfortunately, limited research investigates the links between the interior environment and mental health outcomes that can be used for guiding the design for these facilities. This paper seeks to provide a framework for designing person-centered mental health interiors that would be supportive of human factors for a healthcare organization's clinical and operational staff as well as Veterans. The framework is intended to assist healthcare providers in achieving mental health aims through thoughtful, evidence-based, person-centered design. Based on a review of the literature and case study investigations of three VA acute inpatient mental health units in the United States, the framework is comprised of six domains: Involve, Protect, Engage, Comfort, Personalize, and Sustain. These domains, informed by existing credible research and best practices, were vetted through post-hoc analysis of qualitative data gathered from interviews, focus groups, and/or listening sessions conducted with the three sites. The resultant Framework for Designing Person-Centered Mental Health Interiors for Veterans, developed based on the data and methodologies used in conducting this study, is meant as a complementary resource for informing future research, planning, design, and operation of acute inpatient mental health spaces. The research team's aim was to develop an accessible set of evidence-based environmental planning considerations to aid in the prioritization and development of person-centered mental health environments.

https://www.onlinelibrary.wiley.com/doi/pdf/10.1111/joid.12095

Toward a Framework for Designing Person-Centered Mental Health Interiors for Veterans

Alone with others: Understanding physical environmental needs of students within an academic library setting

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