scholarly journals Preferensi Kenyamanan Pengunjung di Kebun Raya Bogor selama Adaptasi Kebiasaan Baru Berbasis Big Data

Arsitektura ◽  
2021 ◽  
Vol 19 (2) ◽  
pp. 177
Author(s):  
Yudith Vega Paramitadevi ◽  
Nurul Jannah ◽  
Gema Parasti Mindara
Keyword(s):  
Big Data ◽  
Urban Communities ◽  
Urban Forest ◽  
Survey Methods ◽  
Abiotic Factors ◽  
The Elderly ◽  
Botanical Garden ◽  
Comfort Level ◽  
New Normal ◽  
Design Recommendations

<p><em>Urban communities need urban forests </em><em>in improving</em><em> the quality of </em><em>mental </em><em> and physical health during the New Normal. If </em><em>eco</em><em>tourism or urban forest is a top priority in implementing the New Normal, managers </em><em>must </em><em>determine designs, </em><em>and make </em><em>procedures related to the applicable COVID-19 protocol. The research objective was to measure the comfort level of visitors before and during the pandemic using big data, then compile comfort design recommendations according to visitor preferences during the pandemic based on survey methods. </em><em>Social media Twitter and Google Map Review mentioning the Bogor Botanical Garden were collected a year before and six months during the pandemic. Analysis of text mining is carried out in order to obtain sentiment and initial perceptions about the Bogor Botanical Garden. Initial perceptions of visitors were used to construct the survey questionnaire. Furthermore, quantitative survey methods were used to analyze visitor activity and comfort. </em><em>Visitor comfort is limited to abiotic factors, namely accessibility, and facilities. Sentiment analysis shows pre-pandemic conditions had 48.26% more positive word frequency than during the pandemic for Twitter, but 23.29% less than during the pandemic for Google Map Review. Twitter are more sensitive to the current situation than Google Map Review. Positive perceptions of comfort include compliance management of KRB under the COVID-19 protocol (11.7%), better management (10.8%), well-maintained facilities and infrastructure (7.2%), and maintained hygiene (7.2%). Comfort design recommendations based on respondents' preferences for comfort (14.4%) include increasing the number of toilets, the number of rest areas, ramps for the elderly, areas and attractions to attract children, parks with new themes, and sustainability elements.</em></p>

Big Data Driven Clinical Informatics & Surveillance (BDD_CIS) – A Multimodal Database Focused Clinical, Community, and Multi-Omics Surveillance Plan for COVID-19: A study Protocol (Preprint)

2020 ◽  
Author(s):  
Bankole Olatosi ◽  
Jiajia Zhang ◽  
Sharon Weissman ◽  
Zhenlong Li ◽  
Jianjun Hu ◽  
...  
Keyword(s):  
Big Data ◽  
South Carolina ◽  
Data Science ◽  
Age Groups ◽  
The Elderly ◽  
The United States ◽  
Data Sources ◽  
Patient Registries ◽  
Multiple Partner ◽  
Multimodal Data

BACKGROUND The Coronavirus Disease 2019 (COVID-19) caused by the severe acute respiratory syndrome coronavirus (SARS-CoV-2) remains a serious global pandemic. Currently, all age groups are at risk for infection but the elderly and persons with underlying health conditions are at higher risk of severe complications. In the United States (US), the pandemic curve is rapidly changing with over 6,786,352 cases and 199,024 deaths reported. South Carolina (SC) as of 9/21/2020 reported 138,624 cases and 3,212 deaths across the state. OBJECTIVE The growing availability of COVID-19 data provides a basis for deploying Big Data science to leverage multitudinal and multimodal data sources for incremental learning. Doing this requires the acquisition and collation of multiple data sources at the individual and county level. METHODS The population for the comprehensive database comes from statewide COVID-19 testing surveillance data (March 2020- till present) for all SC COVID-19 patients (N≈140,000). This project will 1) connect multiple partner data sources for prediction and intelligence gathering, 2) build a REDCap database that links de-identified multitudinal and multimodal data sources useful for machine learning and deep learning algorithms to enable further studies. Additional data will include hospital based COVID-19 patient registries, Health Sciences South Carolina (HSSC) data, data from the office of Revenue and Fiscal Affairs (RFA), and Area Health Resource Files (AHRF). RESULTS The project was funded as of June 2020 by the National Institutes for Health. CONCLUSIONS The development of such a linked and integrated database will allow for the identification of important predictors of short- and long-term clinical outcomes for SC COVID-19 patients using data science.

scholarly journals Carebots

2016 ◽  
Vol 138 (09) ◽  
pp. S8-S13 ◽  
Author(s):  
Thiago Marinho ◽  
Christopher Widdowson ◽  
Amy Oetting ◽  
Arun Lakshmanan ◽  
Hang Cui ◽  
...  
Keyword(s):  
Older Adults ◽  
Multidisciplinary Approach ◽  
Human Perception ◽  
The Elderly ◽  
Comfort Level ◽  
Robot System ◽  
Perceived Safety ◽  
High Level ◽  
Future Work ◽  
Flying Robots

This article demonstrates a multidisciplinary approach that proposes to augment future caregiving by prolonged independence of older adults. The human–robot system allows the elderly to cooperate with small flying robots through an appropriate interface. ASPIRE provides a platform where high-level controllers can be designed to provide a layer of abstraction between the high-level task requests, the perceptual needs of the users, and the physical demands of the robotic platforms. With a robust framework that has the capability to account for human perception and comfort level, one can provide perceived safety for older adults, and further, add expressively that facilitates communication and interaction continuously throughout the stimulation. The proposed framework relies on an iterative process of low-level controllers design through experimental data collected from psychological trials. Future work includes the exploration of multiple carebots to cooperatively assist in caregiving tasks based on human-centered design approach.

scholarly journals Study on the Contradiction Between Supply and Demand of the Aged Education Under the Background of Aging

2020 ◽  
Vol 9 (3) ◽  
pp. 82
Author(s):  
Fang Jin ◽  
Zhongying Hu
Keyword(s):  
Social Development ◽  
Supply And Demand ◽  
Aging Population ◽  
The Elderly ◽  
Innovative Development ◽  
New Normal ◽  
General School ◽  
High Level ◽  
Professional Guidance ◽  
Basic Level

<p>China has entered the new normal of the elderly society, and the aging population has a great impact on China's economic and social development. How to solve the dilemma of "one ticket is hard to get" in the elderly education and innovate and develop the elderly education is an important part of the modernization of education, which is related to the overall situation of building a well-off society at a high level. Taking Wenzhou as an example, this paper constructs a senior education mode of "general school + basic level + network", promotes the vigorous development of local senior education, and refines the school running experience of "separation of management and management, integration of resources, and professional guidance", which is the proper path for the innovative development of senior education, and has certain reference significance for the development of senior education in all parts of China.</p>

scholarly journals REVEALING FEATURES OF THE ARCHITECTURAL TYPOLOGY OF NURSING HOMES

2020 ◽  
pp. 33-39
Author(s):  
I. Zhdanova ◽  
A. Kuznecova ◽  
P. Mihaylina
Keyword(s):  
Social Interaction ◽  
Nursing Homes ◽  
Functional Organization ◽  
The Elderly ◽  
Comfort Level ◽  
Functional Improvement ◽  
Foreign Experience ◽  
Homes For The Elderly ◽  
Care Health

The article focuses on the study of modern approaches in the typology of nursing homes. Global data on the increase in the share of older people in the total population are presented. In addition, Rosstat data confirm the relevance of studying this topic. Examples of foreign experience in designing and building homes for the elderly show the developed functional composition of the premises, along with the function of accommodation and care - health care, leisure, trade, sports, food and multifunctional spaces to ensure social interaction of different groups of the population. The research reveals a method of "functional improvement" aimed at developing optimal functional interactions between public and residential spaces. A concept project for a "dynamic" scheme has been developed, showing the inclusion of residential blocks in a multifunctional complex. The chosen functional organization allows the creation of private spaces for residents of retirement age and walking areas for visitors to the complex. It is determined that in Russia it is necessary to implement modern approaches adapted to Russian conditions, based on foreign experience. This will enhance the consumer quality of the facility and the comfort level of the elderly, which will undoubtedly provide social interaction through the introduction of educational and leisure functions, as well as improve the ecological and aesthetic qualities of the environment.

PENERAPAN AKTIVITAS FUNGSIONAL REKREASI PADA MASA NEW NORMAL UNTUK MENJAGA KESEHATAN LANJUT USIA

2020 ◽  
Vol 1 (1) ◽  
pp. 62
Author(s):  
Ipa Sari Kardi ◽  
Nasri Nasri ◽  
Ibrahim Ibrahim ◽  
Yahya Eko Nopiyanto
Keyword(s):  
Well Being ◽  
The Elderly ◽  
Functional Change ◽  
Normal Weight ◽  
Physical Activities ◽  
New Normal ◽  
Functional Activities ◽  
Technological Advances ◽  
Normal Period ◽  
Daily Physical Activities

Background: Structural and functional change in the elderly is a process that cannot be stopped, but can be managed, so that it can inhibit the aging process. Technological advances in the digital era 4.0 coupled with the Covid-19 pandemic at the beginning of 2020 make someone, especially the elderly, less mobile. One of the actions that can be taken is implementing recreational functional activities, which are physical activities that are carried out happily with other people, such as family or community. This action is one of the safe and effective ways to help maintain the health of the elderly during the new normal period, so that the elderly are still able to carry out daily physical activities, stay healthy, productive and happy. Recreational functional activities play an important role in the well-being of the elderly and in improving the quality of life of all ages, including the elderly. Purpose: This community service aims to introduce a variety of functional activities that can entertain and delight the elderly. Methods: The method used was counseling and the application of recreational functional activities. Results: Based on the results of blood pressure examinations, it was found that the elderly who had hypertension were (73%) and normal (27%), the BMI measurement showed less weight (20%), normal weight (13%), over weight (20%) , OB I (27%) and OB II (20%). After applying recreational functional activities, there is a good response from the elderly. The elderly feel happier, experience and increase knowledge about simple movements that can stimulate the physical, psychological and social health of the elderly, even if only around the place of residence.

Big data use and its outcomes in supply chain context: the roles of information sharing and technological innovation

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Hamza Saleem ◽  
Yongjun Li ◽  
Zulqurnain Ali ◽  
Muhammad Ayyoub ◽  
Yu Wang ◽  
...  
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Information Sharing ◽  
Technological Innovation ◽  
Dynamic Capabilities ◽  
Survey Methods ◽  
Organizational Outcomes ◽  
Production Costs ◽  
Content Type ◽  
Product And Process

PurposeThis paper aims to investigate the use of big data (BDU) in predicting technological innovation, supply chain and SMEs' performance and whether technological innovation mediates the association between BDU and firm performance. Additionally, this research also seeks to explore the moderating effect of information sharing in the association between BDU and technological innovation.Design/methodology/approachUsing survey methods and structural associations in AMOS 24.0., the proposed model was tested on SME managers recruited from the largest economic and manufacturing hub of China, Pearl River Delta.FindingsThe findings suggest that BDU is positively related to technological innovation (product and process) and organizational outcomes (e.g., supply chain and SMEs performance). Technological innovation (i.e., product and process) significantly mediates the association between BDU and organizational outcomes. Moreover, information sharing positively moderates the association between BDU and technological innovations.Practical implicationsThis research provides deeper insights into how BDU is useful for SME managers in achieving the firm’s goals. Particularly, SME managers can bring technological innovation into their business processes, overcome the challenges of forecasting, and generate dynamic capabilities for attaining the best SMEs’ performance. Additionally, BDU with information sharing enables SMEs reduce their risk and decrease production costs in their manufacturing process.Originality/valueFirms always need to adopt new ways to enhance their productivity using available resources. This is the first study that contributes to big data and performance management literature by exploring the moderating and mediation mechanism of information sharing and technological innovation respectively using RBVT. The study and research model enhances our insights on BDU, information sharing, and technological innovation as valuable resources for organizations to improve supply chain performance, which subsequently increases SME productivity. This gap was overlooked by previous researchers in the domain of big data.

scholarly journals SleepOMICS: How Big Data Can Revolutionize Sleep Science

2019 ◽  
Vol 16 (2) ◽  
pp. 291 ◽  
Author(s):  
Nicola Luigi Bragazzi ◽  
Ottavia Guglielmi ◽  
and Sergio Garbarino
Keyword(s):  
Developing Countries ◽  
Big Data ◽  
Sleep Disorders ◽  
Real Life ◽  
The Elderly ◽  
Sleep Medicine ◽  
Sleep Research ◽  
Profound Impact ◽  
Individual Level ◽  
The Individual

Sleep disorders have reached epidemic proportions worldwide, affecting the youth as well as the elderly, crossing the entire lifespan in both developed and developing countries. “Real-life” behavioral (sensor-based), molecular, digital, and epidemiological big data represent a source of an impressive wealth of information that can be exploited in order to advance the field of sleep research. It can be anticipated that big data will have a profound impact, potentially enabling the dissection of differences and oscillations in sleep dynamics and architecture at the individual level (“sleepOMICS”), thus paving the way for a targeted, “one-size-does-not-fit-all” management of sleep disorders (“precision sleep medicine”).

WORKING ENVIRONMENT IMPACT ON THE LATVIAN LABOR MARKET GROWTH IN THE EDUCATION SECTOR

2019 ◽  
Vol 6 ◽  
pp. 488
Author(s):  
Irēna Silineviča
Keyword(s):  
Labor Market ◽  
Survey Methods ◽  
The Elderly ◽  
Education Sector ◽  
Market Potential ◽  
Working Environment ◽  
Environment Impact ◽  
Career Support ◽  
Market Growth ◽  
The Impact

Increasing participation of the elderly people in the labor market has significant potential to reduce the demographic burden. People who want to stay in the labor market longer and are physically fit to work longer should create the conditions for these opportunities. Research is needed to discover these options. Extending people's working lives depends on many factors. One of them is a working environment that is specific to each sector and different in each company. The aim of this research is to study the impact of some working environment factors on people's decision to work in retirement age in the education sector. This topic has not been sufficiently studied in Latvia yet. Express surveys and the survey methods were used for self-assessment of the impact of the working environment on people's decision to stay in the labor market longer. The developed proposals concern to creation of career support strategies for the elderly employeed. It will be able to promote the growth of labor market potential in Latvia in the education sector. 

Factors Affecting the Distribution, Abundance, and Measurement of Pacific Herring (Clupea harengus pallasi) Spawn

1987 ◽  
Vol 44 (6) ◽  
pp. 1181-1194 ◽  
Author(s):  
D. E. Hay ◽  
A. R. Kronlund
Keyword(s):  
Survey Methods ◽  
Abiotic Factors ◽  
Early Years ◽  
Clupea Harengus ◽  
Pacific Herring ◽  
Biological Factors ◽  
Factors Affecting ◽  
Clupea Harengus Pallasi ◽  
The Mean ◽  
Stock Abundance

Records of the date, location, and magnitude of Pacific herring (Clupea harengus pallasi) spawnings in British Columbia, collected since 1928, were compiled and analysed. In the early years of spawn surveys, adjacent spawnings were often reported as single events. Gradually, this practice has changed so that each spawning has a separate record. As a consequence of this change in methods, the mean length of spawnings has decreased in recent years but the total numbers of records has increased. Estimates of mean spawning width and intensity have also changed, partly due to changing survey methods as well as changing spawning distributions. A spawn abundance index is developed to account for these temporal changes. Abiotic factors affecting the distribution and abundance of spawn deposition include sea surface temperatures and the fishery. Biological factors affecting spawn distribution and abundance are not as well defined, but it is shown that in some situations, spawn dimensions may change as a function of stock abundance.

Sign in / Sign up

Export Citation Format

Share Document