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1.
Behav Sci (Basel) ; 12(5)2022 Apr 29.
Article in English | MEDLINE | ID: mdl-35621427

ABSTRACT

Higher education institutions' contributions to environmental conservation are manifested in their commitments to develop Sustainable Campuses. Numerous studies have investigated higher education institutions' efforts to create Sustainable Campuses. Many studies on Sustainable Campuses have been completed partially. The analysis is carried out on the basis of practices at various campuses around the world. However, a thorough analysis of Sustainable Campuses has so far not been carried out. This is evidenced by the lack of publications on journal database portals related to Sustainable Campuses which are carried out in a systematic literature review. To address this gap, this study provides a systematic and comprehensive review of the literature on Sustainable Campuses. The purpose of this article is to identify various dimensions of implementing Sustainable Campuses from various countries. We use the qualitative systematic review method with the meta-aggregation approach in this study. The results of this study indicate that Sustainable Campus development activities are classified into three aspects such as behavioral, learning and educational tools, and physical facilities. Further, each dimension has several strategies and programs and actions performed by global higher education institutions. The results are also expected to be a motivator and reference for campuses to contribute to environmental conservation through Sustainable Campus programs. The various dimensions of a Sustainable Campus that are mapped out in this research can be used as a reference for realizing a Sustainable Campus for every university campus in various countries.

2.
BMC Med Inform Decis Mak ; 21(Suppl 10): 273, 2021 11 16.
Article in English | MEDLINE | ID: mdl-34781953

ABSTRACT

BACKGROUND: To meet the needs of aging and dementia patients in Taiwan, this study designed a nursing system that includes communication, location tracking, and fall detection, and early warning services. The main purpose of this research is to provide timely services to the elderly and patients and hope to reduce the burden when the number of nursing staff decreases. This article is a remote disease care service platform with the Internet of Things (IoT) devices to monitor the location of the elderly and whether they have dropped warning alerts. RESULTS: The device is connected to the patient's waist and chest, monitors the patient's movement and behavior, and transmits messages to the back-end system, and informs caregivers through mobile phone applications when unexpected or shocking events occur. The system can identify whether the patient has fallen, accidentally, or long-term inactivity. The device is equipped with sensors that enable it to monitor the patient's location and behavior data through Bluetooth and GPS technology. Finally, we proposed a basic model and an integrated model that will industrialize the system and is expected to play a role in a larger patient population. CONCLUSIONS: The system developed in this research has passed the Activities of Daily Living (ADL) test and verification, and is expected to provide appropriate safety care services for nursing homes and elderly residences.


Subject(s)
Alzheimer Disease , Internet of Things , Activities of Daily Living , Aged , Alzheimer Disease/diagnosis , Caregivers , Humans , Nursing Homes
3.
Soc Work Public Health ; 36(1): 12-25, 2021 01 02.
Article in English | MEDLINE | ID: mdl-33272146

ABSTRACT

Countries throughout the world, including Indonesia, are facing a complex problem with regards to HIV infection incidences and its prevalence. This is despite some local governments in some provinces of Indonesia working together with the Social Ministry of Indonesia to eradicate prostitution. There are high numbers of HIV sub-types in Indonesia such as HIV-1 (CRF01_AE and B). The forecast was conducted with the Autoregressive Integrated Moving Average model. The ARMA (1,1) was observed to be the best model for forecasting the number of HIV patients in Indonesia. This forecasting has been done since March 2019. Based on its dynamic forecasting with ARMA (1,1), this study proved the number of HIV-positive patients, from 2019 to 2030, had increased from 22,679 to 36,255, by almost 37% within 12 years. Indonesia is facing a growing trend in the number of new HIV cases, until 2030 which caused by stopped their follow-up treatments or they have ceased in consuming the Antiretroviral drugs even though the Indonesian government was provided national health insurance which covers the Antiretroviral drug and a limited number of health-care services providing the Antiretroviral therapy. Therefore, investigations focusing on estimate the number of HIV patients in Indonesia is an important finding. The information can be used as a resource for policy and decision making for plans and programs.


Subject(s)
HIV Infections , HIV-1 , Forecasting , HIV Infections/drug therapy , HIV Infections/epidemiology , Humans , Indonesia/epidemiology , Prevalence
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