Analysis of Behavioral Characteristics of Smartphone Addiction Using Data Mining

In 2016, the number of mobile phone subscriptions worldwide had surpassed the total world population; moreover, the number of smartphone addicts is increasing each year. Thus, the objective of this study is to analyze smartphone addiction by considering the differences between smartphone usage patterns as well as cognition. Our proposed method involves automatically collecting and analyzing data through an app instead of using the existing self-reporting method, thereby improving the accuracy of data and ensuring data reliability from respondents. Based on the results of our study, we observed that there is a significant cognitive bias between the self-reports and automatically collected data. As a result of applying data mining, among the six criteria out of the total 24 items of the questionnaire, the higher the “recurrence” item, the higher the addiction; further, “forbidden” item 1 had the largest effect on addiction. In addition, the input variables that have the greatest influence on the high-risk users were the number of times the screen was turned on and real-use time/cognitive-use time. However, the amount of data and time of smartphone usage were not related to addiction. In the future, we will modify the app to obtain more accurate data, based on which, we can analyze the effects of smartphone addiction, such as depression, anxiety, stress, self-esteem, and emotional regulation, among others

Plant-derived nanovesicles: Current understanding and applications for cancer therapy

Plant-derived vesicles (PDVs) are membranous structures that originate from plant cells and are responsible for multiple physiological and pathological functions. In the last decade, PDVs have gained much attention for their involvement in different biological processes, including intercellular communication and defense response, and recent scientific evidence has opened a new avenue for their applications in cancer treatment. Nevertheless, much remains unknown about these vesicles, and current research remains inconsistent. This review aims to provide a comprehensive introduction to PDVs, from their biological characteristics to purification methods, and to summarize the status of their potential development for cancer therapy

CAPE (caffeic acid phenethyl ester) stimulates glucose uptake through AMPK (AMP-activated protein kinase) activation in skeletal muscle cells

Caffeic acid phenethyl ester (CAPE), a flavonoid-like compound, is one of the major components of honeybee propolis. In the present study, we investigated the metabolic effects of CAPE in skeletal muscle cells and found that CAPE stimulated glucose uptake in differentiated L6 rat myoblast cells and also activated AMPK (AMP-activated protein kinase). In addition, the inhibition of AMPK blocked CAPE-induced glucose uptake, and CAPE activated the Akt pathway in a PI3K (phosphoinositide 3-kinase)-dependent manner. Furthermore, CAPE enhanced both insulin-mediated Akt activation and glucose uptake. In summary, our results suggest that CAPE may have beneficial roles in glucose metabolism via stimulation of the AMPK pathway.close312