Arnadottir, Solveig A. Jonsson, Brynjolfur Gauti
Published in
BMC Health Services Research
BackgroundThe Icelandic population is aging like other populations in the world, the life expectancy is high, and the national focus is to help people to age in their own homes. The objectives of this research was to describe 17 years of demographic changes among outpatient physical therapy (OPT) clients and to determine if these changes reflect ag...
Wang, Min
Published in
Arabian Journal of Geosciences
With the development of society, artificial intelligence has been widely used in many fields such as face recognition and autonomous driving, and related researches that intersect with other disciplines have developed rapidly. It mainly summarizes the development history of artificial intelligence and its research progress in mountain mineral compo...
Wu, Mengtong Jiang, Chao Zhang, Yi Cao, Jingjing Cheng, Ying Liu, Yu
Published in
Computational Urban Science
Culture and distance are two major factors for geographically segmenting tourists in tourism marketing and advertising. Previous empirical studies on the destination image, however, have examined extensively the effect of the culture while inadequately the effect of the distance, let alone comparing the effects of the two variables. Using social me...
Hou, Gang Chen, Lizhu
Published in
Arabian Journal of Geosciences
Land use data is limited by timeliness. Therefore, based on the features of urban spatial pattern elements of construction land use and Point of Interest (POI) data, this paper applied the improved extraction method of urban commercial center to solve the access problem to land use data, and assist the extraction of urban land spatial pattern, impr...
van Koetsveld van Ankeren, Lars (author)...
As the amount of data worldwide continues to grow the big data field is becoming increasingly important. Fuzz testing has shown to be an effective testing tool, and recent work has applied fuzz testing to big data applications. This study aims to contribute to knowledge on fuzz testing big data applications by extending on BigFuzz, a state-of-the-a...
Spaggiari, G Setti, M Tagliavini, S Roli, L De Santis, M C Trenti, T Rochira, V Santi, D
Published in
Journal of endocrinological investigation
To cope physical and/or psychological threats, the human body activates multiple processes, mediated by a close interconnection among brain, endocrine and inflammatory systems. The aim of the study was to assess the hypothalamic-pituitary-adrenal (HPA) and hypothalamic-pituitary-thyroid (HPT) axes involvement after an acute stressful event (Emilia ...
Liu, Hongmei
Published in
Arabian Journal of Geosciences
Based on point of interest (POI) data from 2010 to 2020, this paper uses kernel density method and natural point discontinuity method to identify urban fringe areas and analyzes the internal structure and spatial expansion characteristics of new urban fringe areas in two stages from the aspects of expansion quantity, expansion intensity, and expans...
An, Chansik Choi, Jong Won Lee, Hyung Soon Lim, Hyunsun Ryu, Seok Jong Chang, Jung Hyun Oh, Hyun Cheol
Published in
BMC Cancer
BackgroundAlmost all Koreans are covered by mandatory national health insurance and are required to undergo health screening at least once every 2 years. We aimed to develop a machine learning model to predict the risk of developing hepatocellular carcinoma (HCC) based on the screening results and insurance claim data.MethodsThe National Health Ins...
Naik, Midde.Venkateswarlu Vasumathi, D. Kumar, A. P. Siva
Published in
Social Network Analysis and Mining
Nowadays, the big data is ruling the entire digital world with its applications and facilities. Thus, to run the online services in better way, some of the machine learning models are utilized, also the machine learning strategy is became a trending field in big data; hence the success of online services or business is based upon the customer revie...
Smits, Martijn (author)
Big Data is an expanding industry, yet exhaustive and automated testing of Big Data applications is still in its early stages. In the last few years, testing framework for Big Data applications have started appearing. BigFuzz is a program that uses fuzz testing for Big Data applications. Fuzz testing means generating random, potentially invalid or ...
