scholarly journals A QUANTITATIVE INVESTIGATION OF THE FACTORS AFFECTING PATTERNS OF OCCUPATION IN A SUBURBAN CAMPUS: THE CASE OF OZYEGIN UNIVERSITY IN ISTANBUL

2018 ◽  
Vol 12 (2) ◽  
pp. 98 ◽  
Author(s):  
Ayse Ozbil ◽  
Ozgur Gocer ◽  
Mujesira Bakovic ◽  
Kenan Gocer
Keyword(s):  
Longitudinal Study ◽  
Spatial Configuration ◽  
User Behavior ◽  
University Campus ◽  
Quantitative Investigation ◽  
Factors Affecting ◽  
Outdoor Spaces ◽  
Physical Attributes

This study investigates the patterns of occupation of outdoor spaces on a suburban university campus and seeks to understand the factors that affect them. The comprehensive methodology applied in this research attempted to overcome some of the shortcomings of related studies by conducting a longitudinal study (behavioral mapping during a year, as opposed to a few days) and by objectively analyzing the associations of user behavior and physical attributes, and the configurational properties of the campus layout. The results show that campus users fail to capitalize on the potential offered by the spatial configuration of outdoor spaces because they are not supported by amenities for pedestrians such as seating, shading elements and catering facilities. Supporting campus outdoor spaces that have the configurational potential of bringing various types of users (students and staff) with amenities for pedestrians and service facilities would create a lively and sustainable campus for its users.

An Experimental Study of Spammer Detection on Chinese Microblogs

2020 ◽  
Vol 30 (11n12) ◽  
pp. 1759-1777
Author(s):  
Jialing Liang ◽  
Peiquan Jin ◽  
Lin Mu ◽  
Jie Zhao
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
User Behavior ◽  
Real Data ◽  
User Profile ◽  
Data Set ◽  
Sina Weibo ◽  
Factors Affecting ◽  
The Government ◽  
Hot Event

With the development of Web 2.0, social media such as Twitter and Sina Weibo have become an essential platform for disseminating hot events. Simultaneously, due to the free policy of microblogging services, users can post user-generated content freely on microblogging platforms. Accordingly, more and more hot events on microblogging platforms have been labeled as spammers. Spammers will not only hurt the healthy development of social media but also introduce many economic and social problems. Therefore, the government and enterprises must distinguish whether a hot event on microblogging platforms is a spammer or is a naturally-developing event. In this paper, we focus on the hot event list on Sina Weibo and collect the relevant microblogs of each hot event to study the detecting methods of spammers. Notably, we develop an integral feature set consisting of user profile, user behavior, and user relationships to reflect various factors affecting the detection of spammers. Then, we employ typical machine learning methods to conduct extensive experiments on detecting spammers. We use a real data set crawled from the most prominent Chinese microblogging platform, Sina Weibo, and evaluate the performance of 10 machine learning models with five sampling methods. The results in terms of various metrics show that the Random Forest model and the over-sampling method achieve the best accuracy in detecting spammers and non-spammers.

Prioritizing the influencing factors of utaut-2 model toward mobile network service providers

2021 ◽  
pp. 178359172110553
Author(s):  
Ishani Patharia ◽  
Anjana Pandey ◽  
Sanjay Gupta
Keyword(s):  
Technology Acceptance ◽  
Communication Networks ◽  
Service Providers ◽  
User Behavior ◽  
Mobile Network ◽  
Study Data ◽  
Jel Classification ◽  
Network Service ◽  
Factors Affecting ◽  
Use Of Technology

Technological developments have a major impact on user behavior. The rapidly evolving communication system and technology have provided numerous choices for people. The ever-shifting changes in the generation of communication networks have posed challenges for mobile network service providers to attract and retain customers. This study aims to prioritize the determinants of the adoption of mobile network service providers using the unified theory of acceptance and use of technology (UTAUT-2). In this study, data were collected from 660 mobile phone users in Haryana, India. A fuzzy analytical hierarchy process (F-AHP) was applied to arrange the priority or rank the factors based on the significance of the factors in explaining the adoption of mobile network service providers. Results of the study reveal that efforts expectancy is the highest-ranked and prioritized factor for the adoption of mobile network service providers followed by performance expectancy and facilitating conditions. However, social influence emerged as the least important factor. The present study provides theoretical implications for future researchers by synthesizing and prioritizing the important factors affecting technology acceptance. The practical implications offer a clearer insight to marketers for developing focused pragmatic strategies to retain customer loyalty. The study has considered only UTAUT-2 model constructs and used the F-AHP technique. Other factors may be considered in future studies. Other priority analysis techniques can also be used such as ISM and MICMAC analysis for further study. The research has been conducted in Haryana, India, and therefore, it needs to be tested in other areas/countries for generalizability. JEL Classification: O1, O2, O4

scholarly journals Factors Influencing Reversion to Normal Cognition and Progression to Dementia in Elderly with Mild Cognitive Impairment: Analysis of the Korean Longitudinal Study of Ageing

2021 ◽  
Vol 23 (3) ◽  
pp. 297-310
Author(s):  
Sujin Eom ◽  
Ju-Young Ha
Keyword(s):  
Cognitive Impairment ◽  
Mild Cognitive Impairment ◽  
Longitudinal Study ◽  
Activities Of Daily Living ◽  
Daily Living ◽  
Study Data ◽  
Social Activities ◽  
Factors Affecting ◽  
Instrumental Activities ◽  
Normal Cognition

Purpose: The purpose of this study was to identify factors affecting reversion to normal cognition and progression to dementia from mild cognitive impairment (MCI) after 2 years.Methods: We analyzed data from the 6th and 7th “Korean Longitudinal Study of Ageing (KLoSA)”. A total of 773 participants aged 65 years and above classified as having MCI according to the Korean Mini-Mental State Examination in the 6th survey were included in the study. Data were analyzed by SPSS 26.0 software using x2 test, t-test, Mann-Whitney test and logistic regression analysis.Results: Of all the participants, 30.5% reverted to normal cognition, 48.5% remained with MCI, and 21.0% progressed to dementia. Factors such as young age (odds ratio [OR]=0.96, 95% confidence interval [CI]: 0.94~0.99), the absence of diabetes (OR=1.49, 95% CI: 1.01~2.19), and frequent neighbor networks “at least once or twice a month” (OR=2.35, 95% CI: 1.26~4.37), and “at least once a week” (OR=1.63, 95% CI: 1.03~2.56) compared to “never or less than 6 times a year” significantly associated with reversion to normal cognition. Meanwhile, factors such as old age (OR=1.09, 95% CI: 1.05~1.12), low level of perceived socioeconomic status (reference. above middle) (OR=1.59, 95% CI: 1.05~2.41), low levels of instrumental activities of daily living (OR=1.17, 95% CI: 1.05~1.32), and a small number of social activities (OR=0.70, 95% CI: 0.51~0.96) significantly associated with dementia progression.Conclusion: The study indicates the necessity of follow-up research for developing interventions that could aid individuals in reverting to normal cognitive function by managing diabetes or encouraging interaction with neighbors and preventing the progression to dementia by improving Instrumental Activities of Daily Living levels or encouraging participation in social activities.

scholarly journals Analyzing the thermal comfort conditions of outdoor spaces in a university campus in Kuala Lumpur, Malaysia

2019 ◽  
Vol 666 ◽  
pp. 1327-1345 ◽  
Author(s):  
Amirhosein Ghaffarianhoseini ◽  
Umberto Berardi ◽  
Ali Ghaffarianhoseini ◽  
Karam Al-Obaidi
Keyword(s):  
Thermal Comfort ◽  
University Campus ◽  
Kuala Lumpur ◽  
Outdoor Spaces

scholarly journals BIM in People2People and Things2People Interactive Process

Sensors ◽  
2020 ◽  
Vol 20 (10) ◽  
pp. 2982
Author(s):  
Bruno Mataloto ◽  
João C. Ferreira ◽  
Ricardo Resende ◽  
Rita Moura ◽  
Sílvia Luís
Keyword(s):  
User Behavior ◽  
3D Visualization ◽  
Research Work ◽  
Data Representation ◽  
Sensor Data ◽  
University Campus ◽  
Shared Spaces ◽  
Interactive 3D ◽  
Interaction Approach ◽  
Real Time Information

In this research work, we present an IoT solution to environment variables using a LoRa transmission technology to give real-time information to users in a Things2People process and achieve savings by promoting behavior changes in a People2People process. These data are stored and later processed to identify patterns and integrate with visualization tools, which allow us to develop an environmental perception while using the system. In this project, we implemented a different approach based on the development of a 3D visualization tool that presents the system collected data, warnings, and other users’ perception in an interactive 3D model of the building. This data representation introduces a new People2People interaction approach to achieve savings in shared spaces like public buildings by combining sensor data with the users’ individual and collective perception. This approach was validated at the ISCTE-IUL University Campus, where this 3D IoT data representation was presented in mobile devices, and from this, influenced user behavior toward meeting campus sustainability goals.

scholarly journals Longitudinal Study on Construction Organization’s BIM Acceptance

2020 ◽  
Vol 10 (15) ◽  
pp. 5358
Author(s):  
Seulki Lee ◽  
Jungho Yu
Keyword(s):  
Longitudinal Study ◽  
Structural Equation ◽  
Information Modeling ◽  
Equation Modeling ◽  
Construction Sites ◽  
Factors Affecting ◽  
Construction Organizations ◽  
Building Information ◽  
Construction Organization ◽  
Acceptance Model

The Korean domestic market is focused on the introduction of BIM (Building Information Modeling) owing to an influx of investment due to increased interest and mandatory application of BIM. However, the rate of BIM introduction is high, while BIM user proficiency is low. Against these problems, the authors proposed an acceptance model for BIM in construction organizations in 2012. As the number of BIM application cases increases and the number of BIM-trained users increases as time goes on, BIM users’ positive perception of BIM values are expected to increase, which may change the BIM acceptance mechanism. Therefore, we conducted a longitudinal study of the 2012 BIM acceptance model against 2019 data to estimate changes in factors affecting BIM acceptance attitudes as well as the mechanism of the relationships between factors over time spent using the technology. To generalize the results, the respondents were spread across construction sites. The data obtained 119 samples from a sample of experienced users of BIM. We used AMOS 21.0 for hypothesis testing of structural equation modeling (SEM), and the 2019 BIM acceptance model was compared against the 2012 acceptance model using an independent sample t-test. As a result, it was confirmed that the 2012 BIM acceptance model is still suitable for describing the BIM acceptance mechanism of the construction organization, and there was a difference between the 2012 model and the 2019 model. This seems to have changed the mechanism of BIM acceptance by being change perception of BIM users as time goes on. The results of this study can be used to establish a BIM activation strategy for each BIM acceptance stage and are expected to be applicable to establishing a BIM activation strategy for construction organizations or countries with similar BIM acceptance stage.

scholarly journals Factors Affecting Intention to Receive and Self-Reported Receipt of 2009 Pandemic (H1N1) Vaccine in Hong Kong: A Longitudinal Study

PLoS ONE ◽  
2011 ◽  
Vol 6 (3) ◽  
pp. e17713 ◽  
Author(s):  
Qiuyan Liao ◽  
Benjamin J. Cowling ◽  
Wendy Wing Tak Lam ◽  
Richard Fielding
Keyword(s):  
Hong Kong ◽  
Longitudinal Study ◽  
Pandemic H1n1 ◽  
H1n1 Vaccine ◽  
Factors Affecting ◽  
To Receive

Surviving Vietnam

2018 ◽  
Author(s):  
Bruce P. Dohrenwend ◽  
Nick Turse ◽  
Thomas J. Yager ◽  
Melanie M. Wall
Keyword(s):  
Longitudinal Study ◽  
Vietnam War ◽  
Vietnam Veterans ◽  
Public Attitudes ◽  
Psychological Impact ◽  
Policy Implications ◽  
Psychological Consequences ◽  
Post Traumatic Stress ◽  
Factors Affecting ◽  
The Impact

Surviving Vietnam: Psychological Consequences of the War for U.S. Veterans presents a unique combination of historical material, military records of combat exposure, clinical diagnoses of post-traumatic stress disorder (PTSD), and interviews with representative samples of veterans surveyed both a little over decade after the war’s conclusion in the National Vietnam Veterans Readjustment Study (NVVRS), and again nearly four decades after the war’s conclusion in the National Vietnam Veterans Longitudinal Study (Longitudinal Study). It focuses specifically on veterans’ war-zone experiences and the development in some of PTSD, a relatively new and controversial diagnosis. The monograph begins with a brief history of the Vietnam war that provides context for the discussions of the relevance to their mental health outcomes of the severity of veterans’ exposure to combat, their personal involvement in harm to civilians and prisoners, their race/ethnicity, and their military assignments. It discusses nurses’ experiences in Vietnam and the psychological impact on families of veterans’ chronic war-related PTSD. The monograph then examines factors affecting surveyed veterans’ post-war readjustment, including the effects of changing public attitudes toward the war and the veterans’ own appraisals of the impact of the war on their lives after the war. It concludes by discussing the policy implications of its research findings.

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