• Journal of Advanced Marine Engineering and Technology
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• v.33 no.4
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• pp.569-577
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• 2009

Mobile information retrieval is an evolving branch of information retrieval that is centered on mobile and ubiquitous environments. In general, mobile devices are characterized by lightweight, low power, small memory, small display, limited input/output, low bandwidth, and so on. Some of these characteristics make it impossible to apply general information retrieval to mobile environments without any modification. In order to relieve this problem, we design and implement an information retrieval system for mobile devices like wireless phones, PDA and handheld devices. We use document summarization techniques to alleviate the limitation of small display and user profiles to retrieve the most proper documents for each individual user for personalized search. Futhermore we use meta-search to lighten some burdens visiting several portal sites. In this paper, we have implemented and demonstrated the proposed mobile information retrieval system on the domain of travel and received good evaluation from users subjectively.

• Journal of Information Processing Systems
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• v.16 no.2
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• pp.478-493
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• 2020

We designed a new meta-heuristic algorithm named Photon Search Algorithm (PSA) in this paper, which is motivated by photon properties in the field of physics. The physical knowledge involved in this paper includes three main concepts: Principle of Constancy of Light Velocity, Uncertainty Principle and Pauli Exclusion Principle. Based on these physical knowledges, we developed mathematical formulations and models of the proposed algorithm. Moreover, in order to confirm the convergence capability of the algorithm proposed, we compared it with 7 unimodal benchmark functions and 23 multimodal benchmark functions. Experimental results indicate that PSA has better global convergence and higher searching efficiency. Although the performance of the algorithm in solving the optimal solution of certain functions is slightly inferior to that of the existing heuristic algorithm, it is better than the existing algorithm in solving most functions. On balance, PSA has relatively better convergence performance than the existing metaheuristic algorithms.

• Journal of Fashion Business
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• v.18 no.3
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• pp.14-28
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• 2014

The purposes of this study are to provide comprehensive reviews on multichannel consumer behaviors published in peer-reviewed academic journals from 2005 to 2014, to develop a conceptual framework that demonstrates multichannel determinants such as psychographics, demographics, social influences, and situational factors on consumers' search and purchase behavior based on customers' profits or costs judgment, and to provide possible direction for future research in multichannel consumer behavior. Three steps were taken in the process of analyzing consumers' channel determinants presented in the 37 studies, and 12 most frequently used factors that appear in the studies were extracted. These factors include convenience, service, trust/risk, saving money, product knowledge, experience, efficacy/usefulness, involvement, shopping environment/situation factors, demographics, product types, and social influence. With 12 determinants of multichannel consumers' search and purchase behavior, a conceptual framework was proposed based on expectancy theory. The directions for future research were also discussed.

• Journal of Korean Academic Society of Home Health Care Nursing
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• v.26 no.3
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• pp.265-277
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• 2019

Purpose: This study was performed to explore research trends in the intention to stay of hospital nurses and provide basic data to establish nursing management strategies to increase the intention to stay. Methods: Articles published between 2009 and 2018 were searched. The search terminologies were "intention to stay," "nurse", and "hospital". In the first search, 381 articles were extracted from academic databases. Thirty articles were used in the systematic review, and 29 articles were used in the correlation meta-analysis. Results: Thirty-two variables were explored in relation to the intention to stay. In the correlation analysis, job satisfaction and work environment showed statistically significant positive correlations in many studies. In the correlation meta-analysis, 7 variables including organizational commitment showed statistically significant effect sizes. Conclusion: We suggest that structural equation model analysis to identify causal relations among influencing variables of the intention to stay of hospital nurses may be conducted. This study can be used as a guideline to develop intention-to-stay enhancement programs for hospital nurses.

• Asian Pacific Journal of Cancer Prevention
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• v.16 no.3
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• pp.853-857
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• 2015

Background: Gastric cancer is the most common cancer in the Iranian population. The aim of this study was to determine the effect of clinicopathological factors on prognosis by meta-analysis. Materials and Methods: A literature search was conducted using MEDLINE, EMBASE and Cochrane library and extensive literature search using the Persian databases until February 2011. Prospective follow up studies with multivariate analysis of overall survival of the patients with gastric cancer were included in this review. The data were analyzed by CMA.2. Publication bias are checked by funnel plot and data are shown as Forest plots. Results: From a total of 63 articles, 14 retrospective studies which examined 5 prognostic factors and involving 10,500 patients were included. Tumor size (>35mm) was the main significant factor predicting an unfavorable prognosis for the patients with gastric cancer (RR=1.829, p<0.001) followed by presence of distant metastases (RR=1.607, p<0.001), poor differentiation (RR=1.408, p<0.001) and male sex (RR=1.194, p<0.001). Lymph node metastases (RR=1.058, p=0.698) and moderate differentiation (RR=0.836, p=0.043) were not statistically significant as prognostic factors. Conclusions: This meta-analysis suggests that tumor size>35mm, poor differentiation, presence of distant metastasis and male gender are strongly associated with a poor prognosis in Iranian patients with gastric cancer.

• The Journal of Information Technology
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• v.5 no.4
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• pp.73-79
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• 2002

In this paper, I will propose the Niche-Meta Genetic Algorithm that has a multi-mutation operator for design of fuzzy controller. The gene in the proposed algorithm is formed by several parameters that represent the crossover rate, mutation rate and input-output membership functions. The optimization of fuzzy membership function is performed with local search on sub-population and the optimal structure is constructed with global search on total-population. The multi-mutation is selected under basis of the result of local evolution. A simulation for 2 D.O.F wheeled-mobile robot is showed to prove the efficiency of the proposed algorithm

• Knee surgery & related research
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• v.30 no.4
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• pp.356-363
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• 2018

Purpose: A meta-analysis was performed to assess the outcomes following surgical intervention for medial knee plica. Materials and Methods: A literature search of Medline, EMBASE, CINAHL and Cochrane CENTRAL was performed using relevant key words. The primary outcome was patient-reported postoperative scores of "good" and "excellent". Meta-analyses were performed using a random effects model. Results: The literature search identified 731 articles. After removing duplicates and those not meeting the inclusion criteria, 12 articles reporting on a total of 643 knees were included for analysis, and of these, 7 articles including 235 knees were used for meta-analysis. The overall rate of good and excellent outcomes following surgery was estimated at 84.2% (95% confidence interval [CI], 72.8-91.4). In those cases that had non-surgical therapy prior to surgery, the rate of good and excellent outcomes of surgery was estimated at 76.1% (95% CI, 60.1-87). Conclusions: Arthroscopic surgical management of symptomatic medial knee plica results in favourable outcomes. Our results suggest that arthroscopic surgical excision should be considered as a treatment modality in patients with pathological medial plica disease of the knee either as a first-line treatment or when symptoms have not responded to non-surgical interventions. Level of Evidence: IV.

• Child Health Nursing Research
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• v.29 no.1
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• pp.24-36
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• 2023

Purpose: This systematic literature review and meta-analysis explored extended reality (XR)-based pediatric nursing simulation programs and analyzed their effectiveness. Methods: A literature search was conducted between May 1 and 30, 2022 in the following electronic databases: MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), and CINAHL. The search period was from 2000 to 2022. In total, 6,095 articles were reviewed according to the inclusion and exclusion criteria, and 14 articles were selected for the final content analysis and 10 for the meta-analysis. Data analysis was performed using descriptive statistics and the Comprehensive Meta-Analysis program. Results: XR-based pediatric nursing simulation programs have increased since 2019. Studies using virtual reality with manikins or high-fidelity simulators were the most common, with six studies. The total effect size was statistically significant at 0.84 (95% confidence interval=0.50-1.19, z=4.82, p<.001). Conclusion: Based on the findings, we suggest developing standardized guidelines for the operation of virtual pediatric nursing simulation education and practice. Simultaneously, the application of more sophisticated research designs for effect measurement and the combined applications of various virtual simulation methods are needed to validate the most effective simulation methodology.

• Journal of Advanced Navigation Technology
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• v.25 no.5
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• pp.403-408
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• 2021

Harmony Search(HS) algorithm is an emerging meta-heuristic optimization algorithm, which is inspired by the music improvisation process and has been successfully applied to solve different optimization problems. In order to further improve the performance of HS, this paper proposes a new method which is called Fast Harmony Search(FSH) algorithm. For the purpose, this paper suggest a method to unify two independent improvisation processes by newly defining the boundary value of a object variable using HM. As the result, the process time of the algorithm is shorten and explicit decision of bandwidth is no more needed. Furthermore, exploitative power of random selection is improved. The numerical results reveal that the proposed algorithm can find better solutions and is faster when compared to the conventional HS.

• Maxillofacial Plastic and Reconstructive Surgery
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• v.42
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• pp.41.1-41.11
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• 2020

Background: Orthognathic surgery such as bilateral sagittal split ramus osteotomy (BSSRO) for the treatment of mandibular deformities is one of the most common procedures in maxillofacial operations that may lead to neurosensory disturbance. In this study, we aimed to evaluate the effectiveness of low-level laser therapy (LLLT) on augmenting recovery of neurosensory disturbance of inferior alveolar nerve (IAN) in patients who underwent BSSRO surgery. Methods: A comprehensive literature search was conducted by two independent authors in PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), Scopus, Embase, and Google Scholar electronic databases. Besides, a manual search of all textbooks and relevant articles were conducted. Searches took place in August 2020 and were limited to published and peer-reviewed articles from 2000 to 2020. All analysis was performed using the comprehensive meta-analysis (CMA) and the STATA MP (version:16) software. The weighted mean difference (WMD) using the inverse variance method and the standard mean difference (SMD) was considered for continuous variables. Results: Seventy-four papers were retrieved after removing duplicate studies and finally, eight studies were assessed for qualitative synthesis and five for meta-analysis. Totally, 94 patients were included in the meta-analysis. Based on the meta-analysis, it was shown that LLLT was not effective in a short interval (0 to 48 h) after surgery, but in a period of more than 1 month after surgery, the positive results of treatment can be observed strikingly. Also, LLLT side/group showed no significant difference in some aspects of neurosensory recovery such as thermal sensation compared to the placebo side/group. Conclusions: The meta-analysis of randomized controlled trials revealed that LLLT generally improves IAN sensory disturbance caused by BSSRO. Further high-quality clinical trials with longer follow-up periods and larger sample sizes are recommended.