scholarly journals Differing patterns of plant spinescence affect blue duiker (Bovidae: Philantomba monticola ) browsing behavior and intake rates

2018 ◽  
Vol 8 (23) ◽  
pp. 11754-11762
Author(s):  
Tongai Musariri ◽  
Nicola Pegg ◽  
Justice Muvengwi ◽  
Faith Muzama
Keyword(s):  
Blue Duiker ◽  
Browsing Behavior

Composition of blue duiker (Cephalophus monticola) milk and milk intake by the calf

1990 ◽  
Vol 3 (6) ◽  
pp. 551-560 ◽  
Author(s):  
B.A. Taylor ◽  
G.A. Varga ◽  
T.J. Whitsel ◽  
T.V. Hershberger
Keyword(s):  
Milk Intake ◽  
Cephalophus Monticola ◽  
Blue Duiker

scholarly journals PRUB: A Privacy Protection Friend Recommendation System Based on User Behavior

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Wei Jiang ◽  
Ruijin Wang ◽  
Zhiyuan Xu ◽  
Yaodong Huang ◽  
Shuo Chang ◽  
...  
Keyword(s):  
Social Network ◽  
Recommendation System ◽  
User Behavior ◽  
Network Services ◽  
Mobile Social Network ◽  
Fine Grained ◽  
Friend Recommendation ◽  
Social Applications ◽  
Browsing Behavior ◽  
Behavioral Information

The fast developing social network is a double-edged sword. It remains a serious problem to provide users with excellent mobile social network services as well as protecting privacy data. Most popular social applications utilize behavior of users to build connection with people having similar behavior, thus improving user experience. However, many users do not want to share their certain behavioral information to the recommendation system. In this paper, we aim to design a secure friend recommendation system based on the user behavior, called PRUB. The system proposed aims at achieving fine-grained recommendation to friends who share some same characteristics without exposing the actual user behavior. We utilized the anonymous data from a Chinese ISP, which records the user browsing behavior, for 3 months to test our system. The experiment result shows that our system can achieve a remarkable recommendation goal and, at the same time, protect the privacy of the user behavior information.

Effects of interactive video annotations on students' browsing behavior and perceived workload

2019 ◽  
Vol 19 (2) ◽  
pp. 44-57
Author(s):  
Diogo S. Martins ◽  
Bruna C. R. Cunha ◽  
Cristiane A. Yaguinuma ◽  
Isabela Zaine ◽  
Maria da Graça C. Pimentel
Keyword(s):  
Interactive Video ◽  
Perceived Workload ◽  
Browsing Behavior

Sport News on Facebook: The Relationship Between Interactivity and Readers’ Browsing Behavior

2014 ◽  
Vol 7 (1) ◽  
pp. 1-15 ◽  
Author(s):  
Jan Boehmer ◽  
Stephen Lacy
Keyword(s):  
Public Relations ◽  
Negative Correlation ◽  
Web Site ◽  
Regression Analyses ◽  
Sport Communication ◽  
Work Routines ◽  
Sports News ◽  
Browsing Behavior ◽  
Number Of Individuals ◽  
The Relationship

This study analyzes how interactivity on Facebook relates to users’ browsing behaviors such as clicking a link, visiting a Web site, clicking articles on a Web site, and spending time on a sports news Web site. Regression analyses of 502 Facebook posts and the corresponding news articles show that the number of individuals who clicked on a link is not related to higher levels of interactivity, but an increase in interactivity did affect the number of overall visits generated. In addition, higher levels of interactivity had a slight negative correlation with the number of pages visited and the time spent on an organization’s Web site. Implications for the training and work routines of sport communication professionals in organizations, journalism, and public relations are discussed.

scholarly journals Anomaly Detection for Application Layer User Browsing Behavior Based on Attributes and Features

2018 ◽  
Vol 1069 ◽  
pp. 012072 ◽  
Author(s):  
Xiong Luo ◽  
Xiaoqiang Di ◽  
Xu Liu ◽  
Hui Qi ◽  
Jinqing Li ◽  
...  
Keyword(s):  
Anomaly Detection ◽  
Application Layer ◽  
Behavior Based ◽  
Browsing Behavior

scholarly journals How Do Home Computer Users Browse the Web?

2022 ◽  
Vol 16 (1) ◽  
pp. 1-27
Author(s):  
Kyle Crichton ◽  
Nicolas Christin ◽  
Lorrie Faith Cranor
Keyword(s):  
Internet Use ◽  
Computer Users ◽  
Future Research ◽  
Small Scale ◽  
The Internet ◽  
Home Computer ◽  
Security Behavior ◽  
Browsing Behavior ◽  
The Web ◽  
Analyze Data

With the ubiquity of web tracking, information on how people navigate the internet is abundantly collected yet, due to its proprietary nature, rarely distributed. As a result, our understanding of user browsing primarily derives from small-scale studies conducted more than a decade ago. To provide an broader updated perspective, we analyze data from 257 participants who consented to have their home computer and browsing behavior monitored through the Security Behavior Observatory. Compared to previous work, we find a substantial increase in tabbed browsing and demonstrate the need to include tab information for accurate web measurements. Our results confirm that user browsing is highly centralized, with 50% of internet use spent on 1% of visited websites. However, we also find that users spend a disproportionate amount of time on low-visited websites, areas with a greater likelihood of containing risky content. We then identify the primary gateways to these sites and discuss implications for future research.

scholarly journals Multivariate analysis of cranial measurements of Cameroon’s Blue Duiker (Cephalophusmonticola Thunberg, 1789)

2020 ◽  
pp. 016-021
Author(s):  
Miantsia Olivier IngFokam ◽  
Félix Meutchieye ◽  
Angwafo PrEvaristus Tsi
Keyword(s):  
Multivariate Analysis ◽  
Principal Component ◽  
High Positive Correlation ◽  
Humid Forest ◽  
Skull Length ◽  
Cranial Measurements ◽  
Significant Difference ◽  
Males And Females ◽  
Blue Duiker ◽  
Basal Length

The blue duiker (Cephalophusmonticola)isexclusively an African wild bovidae. It is a principal source of protein in the African forest zones and contributes in the nutrition of local populations. Fifteen cranial measurements on 60 skulls using the opportunist’s method as from January 2018 to December2018. Descriptive statistic and multivariate analysis were done using SPSS version 21.0software and XLSTAT-Pro version 7.5.2 software. It reveals that, there exist a significant difference between males and females skull (p>0.05): total length of skull 114.32 ± .81 and 121.71 ± 1.77; Palate maximal width 35.24 ± .75 and 44.96 ± 14.80; postorbital apophyses width 23.34 ± 1.11and 36.26 ± 1.79; Palatine length 55.31 ± 1.16 and 66.52 ± 1.86; condyle basal length 96.53 ± 1.26 and 105.43 ± 3.05 for the males and females respectively. We have a high positive correlation between the jugal teeth line length and the total skull length (0.973); between palatine length and the total skull length (0.990) and, between condyle basal length and the total skull length (0.993). The principal component analysis (PCA) enable us to see the level of genetics variabilities of blue duiker through skull measurements. These variables measurement are close together from one to another where there is a high similarity between species. Despite these similarities, the population structure of blue duiker shows three sub-species of blue duiker C1, C2 and C3 found respectively in the agro ecological zones of the Western highlands, Mono-modal humid forest and Bimodal humid forest. These three sub-species varies genetically.

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