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The Impact of Needle and Syringe Programs on HIV and HCV Transmissions in Injecting Drug Users in Australia: A Model-Based Analysis

Jisoo A Kwon, Jenny Iversen, Lisa Maher, Matthew G Law, David P Wilson
2009 Journal of Acquired Immune Deficiency Syndromes  
Objectives: We aim to estimate how changes in sterile syringe distribution through needle-syringe programs (NSPs) may affect HIV and hepatitis C virus (HCV) incidence among injecting drug users (IDUs)  ...  Methods: We develop a novel mathematical model of HIV and HCV transmission among IDUs who share syringes. It is calibrated using biological and Australian epidemiological and behavioral data.  ...  Each susceptible person could acquire infection with probability (12p c e c )b.  ... 
doi:10.1097/qai.0b013e3181a2539a pmid:19387355 fatcat:2wkuajz4fjhlbpioxtumselblm

Page 14 of Computational Linguistics Vol. 14, Issue 3 [page]

1988 Computational Linguistics  
on the conversation between the two. 4.2 TECHNIQUES FOR ACQUIRING USER MODELS In this section techniques that have been used to acquire information for a user model are presented, focusing primarily on  ...  Explicit knowledge acquisition most often occurs with knowledge acquired for generic user models or for stereotypes.  ... 

A User Profiles Acquiring Approach Using Pseudo-Relevance Feedback [chapter]

Xiaohui Tao, Yuefeng Li
2009 Lecture Notes in Computer Science  
In this paper, a survey of the existing user profiles acquiring mechanisms is presented first, and a novel approach is introduced that uses pseudo-relevance feedback to acquire user profiles from the Web  ...  The current user profiles acquiring techniques however suffer from some problems and thus demand to improve.  ...  The PREF model implemented for the proposed approach was compared with the TREC model acquiring user profiles manually.  ... 
doi:10.1007/978-3-642-02962-2_83 fatcat:hfkphue2kzc6tnayou4jmcjjoa

Interception of User's Interests on the Web [chapter]

Michal Barla
2006 Lecture Notes in Computer Science  
Current adaptive systems acquire information about users mainly by simple tracking of resources, a user has requested and by asking users to supply the needed information.  ...  In this paper, we discuss user modeling based on observing a user's interaction with the system. We propose to collect usage data on the server side as well as on the client side.  ...  There are several ways to acquire information about a user which serve for user model constructing.  ... 
doi:10.1007/11768012_65 fatcat:du5chhd4r5bhtenasfovzkamhy

Acquiring user profiles from implicit feedback in a conversational recommender system

Henry Blanco, Francesco Ricci
2013 Proceedings of the 7th ACM conference on Recommender systems - RecSys '13  
We propose a method for identifying a tailored set of profiles that is acquired by analysing the implicitly shown preferences of the users that interacted with the system.  ...  Query revisions in a conversational system can be efficiently computed by assuming that the profiles of the potential users are in a predefined, a priori known and finite set.  ...  These methods acquire the user model by observing how the user interacts with the RS and are typically implemented in conversational systems.  ... 
doi:10.1145/2507157.2507217 dblp:conf/recsys/BlancoR13 fatcat:gwvp5rpsbnh3jbxezjwp27juzm

A Distributed MR Transporter for Networked Collaboration [chapter]

Koichi Minami, Tomi Korpipää, Masataka Imura, Yoshihiro Yasumuro, Tomohiro Kuroda, Yoshitsugu Manabe, Kunihiro Chihara
2003 IFIP Advances in Information and Communication Technology  
and reconstruct remote real space as a simplified 3D model.  ...  following two essential technologies to realize it; 1) The coherency control protocol named "Duplication-Selection-Protocol" for comfortable and joyful collaboration in shared MR space, 2) "Ponch-3D" to acquire  ...  The omni-directional camera acquires the omni-directional image around the user. The objects in the acquired images are translated to simplified 3D models consisting of texturemapped floor and walls.  ... 
doi:10.1007/978-0-387-35660-0_60 fatcat:uwl3ieqqtzbmppkrl3stdqe5oi

Incremental Acquisition of Behavior Decision Model based on Interaction between Human and Robots

Tetsunari Inamura, Masayuki Inaba, Hirochika Inoue
2001 Journal of the Robotics Society of Japan  
Also we h a ve con rmed that the acquired models re ect the experience of interaction, therefore the model re ects personal preferences of teaching operation.  ...  This method have t wo advantages, rst is loadless for users by comparison with users' teaching, second is that robots can acquire behaviors as users wish by comparison with autonomous learning.  ...  for personal robots to acquire autonomous behaviors based on interaction between users and robots.  ... 
doi:10.7210/jrsj.19.983 fatcat:mgrixab7nzcfxbk5zlsfechoxu

Context-based Word Acquisition for Situated Dialogue in a Virtual World

S. Qu, J. Y. Chai
2010 The Journal of Artificial Intelligence Research  
While the existing knowledge can potentially help bootstrap and constrain the acquired new words, it has not been incorporated in the previous models.  ...  To address these issues, we developed new approaches that incorporate user language behavior, domain knowledge, and conversation context in word acquisition.  ...  Across all these models, although the same four words (shown in bold font) are acquired by each model, the ranking of the acquired words achieves the best by Model-2t-r based on predicted closely coupled  ... 
doi:10.1613/jair.2912 fatcat:pqjjef4dibhvzpimafrjquqh5q

Gesture-based target acquisition in virtual and augmented reality

YAN Yukang, YI Xin, YU Chun, SHI Yuanchun
2019 Virtual Reality & Intelligent Hardware  
Mental model describes how user thinks up a gesture for acquiring a target, and can be the intuitive mapping between gestures and targets.  ...  Methods We build mental model and behavior model of the user to study two key parts of the interaction process.  ...  Behavior model of acquiring targets After users come up with a gesture to acquire the target, he performs it by controlling his body to complete the anticipatory movements.  ... 
doi:10.3724/sp.j.2096-5796.2019.0007 dblp:journals/vrih/YanYYS19 fatcat:ixmm5h2agrcfve6yrjvwhehypy

Acquisition based dynamic capabilities and reinvention of business models: bridging two perspectives together

Andrejs Čirjevskis, Manuela Tvaronavičienė
2017 Entrepreneurship and Sustainability Issues  
business model (Osterwalder & Pigneur, 2009 ) together and illustration how acquisition based dynamic capabilities foster a reinvention of business models in ICT Industry.  ...  The aim of the paper is to identify the role of dynamic capabilities in reinvention of business model of merging company in related diversification process by means of acquisition.  ...  Second one is "reinvent my business model" (RBM) acquisitions, where companies are acquired for their business models, generally disruptive business models.  ... 
doi:10.9770/jesi.2017.4.4(9) fatcat:ja5e67ubjrdyznv7prhg4ct3ze

OB4LAC: An Organization-based Access Control Model for E-government System

You Peng, Yan Song, Hang Ju, YanZhang Wang
2014 Applied Mathematics & Information Sciences  
Thus, we propose a new access control method-Organization Based Access Control Method and the specific model-OB4LAC model.  ...  Through the test in many complex E-government systems, OB4LAC model achieves good results.  ...  in role set rset. 1 : 1 The members' state machines in RRA sub-model Predicate Meaning pos assigned(u, pos, r,t) (u, pos) is assigned to role r at time t can be acquire(per, r,t) role r can acquire  ... 
doi:10.12785/amis/080365 fatcat:e42ov5mkrbc3vkg5cw7n574gjq

Construction and Use of Role-Ontology for Task-Based Service Navigation System [chapter]

Yusuke Fukazawa, Takefumi Naganuma, Kunihiro Fujii, Shoji Kurakake
2006 Lecture Notes in Computer Science  
We have been developing a task-based service navigation system that offers to the user for his selected services relevant to the task the user wants to perform.  ...  In addition, we can generate a personalized task-list from the task-model based on the user's task selection history.  ...  View of a part of task-model [1] The above task-model aims at modeling general real world activities that could be performed by the average mobile user.  ... 
doi:10.1007/11926078_58 fatcat:7txanlca7nfmjlo7w7jlm45czu

Measuring the differences between human-human and human-machine dialogs

2015 Advances in Distributed Computing and Artificial Intelligence Journal  
To do so, we present the results of the comparison between three corpora acquired by means of different techniques. The first corpus was acquired with real users.  ...  A statistical user simulation technique has been applied to the same task to acquire the second corpus.  ...  Second method for modeling the user intention The second method proposed for modeling the user intention is focused on the simulation of the user and conversational agents to acquire a dialog corpus.  ... 
doi:10.14201/adcaij20154299112 fatcat:bhggmurbizdwdkrdt3kqv35eda

Active Dual Collaborative Filtering with Both Item and Attribute Feedback

Luheng He, Nathan Liu, Qiang Yang
We design a unified active CF framework for incorporating both item and attribute feedback based on the random walk model.  ...  The new user problem (aka user cold start) is very common in online recommender systems.  ...  We can also see that the total number of feedbacks acquired by the model-gauged interleaving scheme is less than the other two schemes, but it acquired the most attribute feedback.  ... 
doi:10.1609/aaai.v25i1.8085 fatcat:qphaxi33xnggbjccnjbqgmdg6e

Techniques for cold-starting context-aware mobile recommender systems for tourism

Matthias Braunhofer, Mehdi Elahi, Francesco Ricci
2014 Intelligenza Artificiale  
These suggestions are typically computed by comparing the user's profile (which appropriately models the user preferences, tastes, and interests) with the description of the items (content-based approach  ...  We have measured the system effectiveness in terms of several metrics such as: the quality and quantity of acquired ratings-in-context, the recommendation accuracy (MAE), the system precision, the perceived  ...  The learning procedure is fast and only few seconds are needed to re-train the model when new information is acquired (new ratings or new users).  ... 
doi:10.3233/ia-140069 fatcat:3shygmk6pjd7vol5wimrxzigqy
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