Adaptive Visualization for Focused Personalized Information Retrieval

The new trend on the Web has totally changed todays information access environment. The traditional information overload problem has evolved into the qualitative level beyond the quantitative growth. The mode of producing and consuming information is changing and we need a new paradigm for accessing information.Personalized search is one of the most promising answers to this problem. However, it still follows the old interaction model and representation method of classic information retrieval approaches. This limitation can harm the potential of personalized search, with which users are intended to interact with the system, learn and investigate the problem, and collaborate with the system to reach the final goal.This dissertation proposes to incorporate interactive visualization into personalized search in order to overcome the limitation. By combining the personalized search and the interac- tive visualization, we expect our approach will be able to help users to better explore the information space and locate relevant information more efficiently.We extended a well-known visualization framework called VIBE (Visual Information Browsing Environment) and implemented Adaptive VIBE, so that it can fit into the per- sonalized searching environment. We tested the effectiveness of this adaptive visualization method and investigated its strengths and weaknesses by conducting a full-scale user study.We also tried to enrich the user models with named-entities considering the possibility that the traditional keyword-based user models could harm the effectiveness of the system in the context of interactive information retrieval.The results of the user study showed that the Adaptive VIBE could improve the precision of the personalized search system and could help the users to find out more diverse set of information. The named-entity based user model integrated into Adaptive VIBE showed improvements of precision of user annotations while maintaining the level of diverse discovery of information

Analyzing User Behavior Patterns in Adaptive Exploratory Search Systems with LifeFlow

Adaptive exploratory search is a method that can provide user-centered personalized search results by incorporating interactive user interfaces. Analyzing the user behavior pat- terns of these systems can be complicated when they sup- port transparent and controllable open user models. This paper suggests to use a visualization tool to address the problem, as a complement to the typical statistical analy- sis. By adopting an event sequence visualization tool called LifeFlow, we were able to easily find out user interesting behavior patterns, especially regarding the open user model exploration

Information sources cited and relayed in political conversations on Twitter

Using the Twitter data collected prior to the Presidential Election in Korea in 2012, we ask questions regarding influential sources of information in public political discourse. The frequently cited sources, being included as URLs in political tweet messages, are identified and categorized. The result shows that people rely on various sources of information beyond the traditional news media, but the pattern of sharing differ by sources

Neck control after definitive radiochemotherapy without planned neck dissection in node-positive head and neck cancers

<p>Abstract</p> <p>Background</p> <p>The purpose of this study was to evaluate neck control outcomes after definitive radiochemotherapy without planned neck dissection in node-positive head and neck cancer.</p> <p>Methods</p> <p>We retrospectively reviewed medical records of fifty patients with node-positive head and neck cancer who received definitive radiochemotherapy. Twelve patients subsequently underwent neck dissection for suspicious recurrent or persistent disease. A median dose of 70 Gy (range 60-70.6) was delivered to involved nodes. Response evaluation was performed at a median of 5 weeks after completion of radiotherapy.</p> <p>Results</p> <p>Neck failure was observed in 11 patients and the 3-year regional control (RC) rate was 77.1%. Neck dissection was performed in 10 of the 11 patients; seven of these cases were successfully salvaged, and the ultimate rate of neck control was 92%. The remaining two patients who received neck dissection had negative pathologic results. On univariate analysis, initial nodal size > 2 cm, a less-than-complete response at the primary site, post-radiotherapy nodal size > 1.5 cm, and post-radiotherapy nodal necrosis were associated with RC. On multivariate analysis, less-than-complete primary site response and post-radiotherapy nodal necrosis were identified as independent prognostic factors for RC.</p> <p>Conclusions</p> <p>The neck failure rate after definitive radiochemotherapy without planned neck dissection was 22%. Two-thirds of these were successfully salvaged with neck dissection and the ultimate neck control rate was 92%. Our results suggest that planned neck dissection might not be necessary in patients with complete response of primary site, no evidence of residual lesion > 1.5 cm, or no necrotic lymph nodes at the 1-2 months follow-up evaluation after radiotherapy.</p

Mysterious Influential Users in Political Communication on Twitter: Users' Occupation Information and Its Impact on Retweetability

This study attempts to examine the effect of user’s self-disclosed identification to measure his influence and activity on Twitter. By looking at the most frequently shared top 1076 tweets written by 250 users during the 2012 presidential election campaign South Korea, we particularly examine the relation between user’s occupation information and the measures of his ‘influence’: the number of followers and number of retweets by others. Influential users in South Korean political communication network on Twitter are classified as one group with self-disclosed occupation information and the other group without that information. User’s occupation information clearly shows the impact on the number of followers for both groups. On the other hand, user group without self-disclosed occupation information has a higher level of producing influential political tweets and wide retweetability over the other group, regardless the small number of followers. It suggests that further study needs to identify other variables that may influence particular user or tweet’s retweetability as an indicator of influence.ye

Incipient piezoelectrics and electrostriction behavior in Sn-doped Bi-1/2( Na0.82K0.18)(1/2) TiO3 lead-free ceramics

Dielectric, ferroelectric, piezoelectric, and strain properties of lead-free Sn-doped Bi-1/2(Na0.82K0.18)(1/2)TiO3 (BNKT) were investigated. A crossover from a nonergodic relaxor to an ergodic relaxor state at room temperature, accompanied by a giant electric-field-induced strain, was observed at 5 at. % Sn doping. Switching dynamics monitored during a bipolar poling cycle manifested that the observed giant strain originates from incipient piezoelectricity. When Sn doping level reached 8 at. %, BNKT exhibited an electrostrictive behavior with a highly temperature-insensitive electrostrictive coefficient of Q(11) = 0.023 m(4)open3

MASHing metadata: Legacy issues in OAI harvesting from three digital libraries

This note reports on efforts to build a generalizable OAI-PMH workflow to retrieve metadata sets from unrelated digital libraries. This effort is part of a wider effort to build a database to aggregate metadata from different digital libraries, which can then be used as the basis for content analysis and data mining experiments with the metadata records. A pilot metadata harvest from three digital libraries using OAIPMH encountered a number of issues, arising from idiosyncratic legacy characteristics of each of the three metadata sets. In the end, the harvests had to be manually tailored to each library. OAI-PMH proved to be a useful approach, but only after communication with each digital library had identified important characteristics of each metadata set, including many legacy characteristics, which had to be accounted for in the harvest.published or submitted for publicationis peer reviewe

Simulated microgravity with floating environment promotes migration of non-small cell lung cancers

A migration of cancer is one of the most important factors affecting cancer therapy. Particularly, a cancer migration study in a microgravity environment has gained attention as a tool for developing cancer therapy. In this study, we evaluated the proliferation and migration of two types (adenocarcinoma A549, squamous cell carcinoma H1703) of non-small cell lung cancers (NSCLC) in a floating environment with microgravity. When we measured proliferation of two NSCLCs in the microgravity (MG) and ground-gravity (CONT), although initial cell adhesion in MG was low, a normalized proliferation rate of A549 in MG was higher than that in CONT. Wound healing results of A549 and H1703 showed rapid recovery in MG; particularly, the migration rate of A549 was faster than that of H1703 both the normal and low proliferating conditions. Gene expression results showed that the microgravity accelerated the migration of NSCLC. Both A549 and H1703 in MG highly expressed the migration-related genes MMP-2, MMP-9, TIMP-1, and TIMP-2 compared to CONT at 24 h. Furthermore, analysis of MMP-2 protein synthesis revealed weaker metastatic performance of H1703 than that of A549. Therefore, the simulated microgravity based cancer culture environment will be a potential for migration and metastasis studies of lung cancers