POI recommender systems for location-based social network services, such as Foursquare or Yelp, have gained tremendous popularity in the past few years. Much work has been dedicated into improving recommendation services in such systems by integrating di↵erent features that are assumed to have an impact on people’s preferences for POIs, such as time and geolocation. Yet, little attention has be...

Personalized point-of-interest (POI) recommendation is a significant task in location-based social networks (LBSNs) as it can help provide better user experience as well as enable third-party services, e.g., launching advertisements. To provide a good recommendation, various research has been conducted in the literature. However, pervious efforts mainly consider the “check-ins” in a whole and o...

Premature ovarian insufficiency leads to through infertility and estrogen deficiency. Optimal management encompasses estrogen replacement therapy. Long-term outcome of women with POI is not known. We design a study to evaluate the medical care, hormone replacement therapy compliance and bone mineral density (BMD) in POI women with at least a five-year follow-up after the first evaluation. One h...

Mobile devices with global positioning capabilities allow users to retrieve points of interest (POI) in their proximity. To protect user privacy, it is important not to disclose exact user coordinates to un-trusted entities that provide location-based services. Currently, there are two main approaches to protect the location privacy of users: (i) hiding locations inside cloaking regions (CRs) a...

BACKGROUND The Ovarian Protection Trial In Premenopausal Breast Cancer Patients "OPTION" trial (NCT00427245) was a prospective, multicenter, randomised, open label study evaluating the frequency of primary ovarian insufficiency (POI) at 12 months in women randomised to 6-8 cycles of (neo)adjuvant chemotherapy (CT) +/- goserelin (G). Here we report the results of a secondary endpoint analysis of...

With the advent of era rapid information expansion, massive data backlog that exists on Internet has led to a serious overload problem, which makes recommendation systems crucial part human life. In particular, Point-Of-Interest (POI) system been applied many real-life scenarios, such as life services and autonomous driving. Specifically, goal POI is recommend locations match their personalized...

Waste on the roadside, 'poi-sute' waste, was collected in a typical suburb in Japan (Ueda city, the sampling course: 3.2 km). The distribution, characterization of the 'poi-sute' waste and the loading of pollutants from the waste were studied. The average number of pieces of total waste was 690 pieces a month, and 220 pieces of waste were dumped a month per km. There was a tendency for much was...