• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.721-739
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• 2023

Rating prediction is an important issue in recommender systems, and its accuracy affects the experience of the user and the revenue of the company. Traditional recommender systems use Factorization Machinesfor rating predictions and each feature is selected with the same weight. Thus, there are problems with inaccurate ratings and limited data representation. This study proposes a deep recommendation model based on self-attention Factorization (SAFMR) to solve these problems. This model uses Convolutional Neural Networks to extract features from user and item reviews. The obtained features are fed into self-attention mechanism Factorization Machines, where the self-attention network automatically learns the dependencies of the features and distinguishes the weights of the different features, thereby reducing the prediction error. The model was experimentally evaluated using six classes of dataset. We compared MSE, NDCG and time for several real datasets. The experiment demonstrated that the SAFMR model achieved excellent rating prediction results and recommendation correlations, thereby verifying the effectiveness of the model.

• Journal of Interdisciplinary Genomics
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• v.2 no.1
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• pp.1-4
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• 2020

Recent advances in magnetic resonance imaging and identification of causative genes led to the recognition of a new group of disorders named neurodegeneration with brain iron accumulation (NBIA). NBIA is a group of inherited disorders characterized by abnormal iron deposition in the brain, usually in the basal ganglia. The disorder shares the clinical features of movement disorders and is accompanied by varying degrees of neuropsychiatric abnormalities. In this review, the causative genes, clinical presentations, neuroimaging features, and pathological findings are summarized.

• Annals of Clinical Neurophysiology
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• v.22 no.1
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• pp.8-12
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• 2020

Chronic inflammatory demyelinating polyneuropathy (CIDP) is an immune-mediated neuropathy with heterogeneous features. Appropriate treatment will produce a favorable outcome, but a poor treatment response and severe disability have also been reported. The roles of the clinical phenotypes and electrophysiological features of CIDP as well as of autoantibodies against nodal and paranodal proteins have been highlighted previously due to their association with the treatment response and long-term prognosis. This review addresses the diverse factors associated with the prognosis of CIDP.

• Journal of Fashion Business
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• v.11 no.5
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• pp.110-123
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• 2007

This study aims at analyzing the characteristics and the mode of deconstructionism expressed in fashion design centering on review of literatures and precedent researches. Through the review of previous studies and various articles, three major features with regard to deconstructionism were found: indeterminacy of meaning, decentralization, and inter -textuality. In fashion, the feature of indeterminacy of meaning expressed by non formula way such as unfinished, layering, obi or straight line cutting and it was divided into unstructured and unorganized factors. The feature of decentralization expressed by disorganization of sex, race, culture and humanism such as trans-gender, third world costume, sub-culture, posthumanism. Last, the feature of inter-textuality expressed by employing the fashion texts more than two simultaneously such as mixture of unmatched or unusual various clothing items, fabrics, patterns and styles. Non formality features in fahsion which divided into unstructured and unconstructed factors. The decentering of meaning means that disorganized the existing concepts of sex, race, culture and humanism features in fashion which divided into cross-gender, subculture, and post-humanism. Lastly, the feature of inter-textuality means that employed the fashion text more than two which is classified into factors of mixing mode and mixed styles. Unstructured factors were expressed by destroying the design principles such as balance, harmony and unit in fashion. Unconstructed factors were expressed by ignoring the basic costume structures and components in fashion. Cross-gender was expressed by manish and duality style in fashion and 3rd world costume was expressed by folk costume style. Anti fashion was expressed by anti aesthetics in fashion such as kitch, punk, and hippie styles. Post-human was expressed by futurism and the 4th Sex style in fashion. Mixing mode were expressed by mixture of item, and unmatched materials and pattern in fashion. Mixture of style were expressed by mixture of pastiche expression of various styles.

• Korean Journal of Clinical Pharmacy
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• v.30 no.4
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• pp.270-278
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• 2020

Background: Although the identification of clinical and laboratory features in pediatric COVID-19 patients is essential in establishing an appropriate treatment plan, a systematic review and meta-analysis on the topic has yet to be reported. Methods: We searched MEDLINE, Embase, and Web of Science to access clinical and laboratory characteristics as well as clinical outcomes of children with COVID-19 infection. A meta-analysis using random-effect model was performed to estimate pooled prevalence and 95% confidence intervals. Results: Among the 532 studies initially collected, 12 articles were finally included in the meta-analysis. Among the investigated 320 pediatric patients with COVID-19, fever (48.2%) and cough (39.3%) were the most common symptoms. Almost one third of patients (30.4%) were asymptomatic. In laboratory findings, only 11.4% of pediatric patients experienced lymphocytopenia. Increased inflammatory markers including c-reactive protein (18.6%) and procalcitonin (32.4%) were observed. Only a few patients needed mechanical ventilation and intensive care support, and only one death was reported. Conclusion: Pediatric patients with COVID-19 infection exhibited milder symptoms and more favorable outcomes compared to adults. However, considering the high rate of asymptomatic pediatric patients, close monitoring is required to prevent community infection in asymptomatic conditions and hidden disease progression.

• Korean Institute of Interior Design Journal
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• v.24 no.6
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• pp.128-136
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• 2015

This research, which has been planned to appreciate the features of continuous observation of space, has applied the procedure of acquiring continuous visual information when the act of watching takes place along the time to analyze the space characteristics through the scenes and time so that the features of attention shown in the process of acquiring visual information at the time of observing continuous scenes might be estimated. For analysis of the features of continuous observation was set up the premise that the features of observation and perception vary depending on gender, when the women shops in department stores were selected as research objects. The observation features found at the time of continuous observation of selling spaces in department stores were focused on two analysis methods in order to compare the differences and characteristics of the two. The followings are the findings. First, the area with predominant observation was found to be 87.1% in both methods. It was found that the analysis of observation features by "Analysis I" was useful for inter-sectional comparison of continuous images. Second, in case of extracting predominant sections, the ceiling or the structures which are the backgrounds rarely attracted any eyes. Depending on analysis method, there was the gap of 14.3%~25.0% between observed sections. Third, in case that the hall is curved, the eyes were found to be expanded from side to side and up and down. The review of observation numbers of predominant sections makes it possible to decide whether it should be regarded as (1) unstability or (2) expanding search, and when the images are enlarged from distant view to close-range view, the weakening vanishing point results in the increase of expanded search of surroundings. Accordingly, it was found that the characteristics of images has effects on the observation features when any space was continuously observed. Furthermore, the difference of analysis methods also was found to be likely to cause big differences in the results of analyzing observation features.

• Clinical Psychopharmacology and Neuroscience
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• v.16 no.4
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• pp.376-382
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• 2018

We reviewed clinical studies investigating the pharmacological treatment of major depressive episodes (MDEs) with mixed features diagnosed according to the dimensional criteria (more than two or three [hypo]manic symptoms+principle depressive symptoms). We systematically reviewed published randomized controlled trials on the pharmacological treatment of MDEs with mixed features associated with mood disorders, including major depressive disorder (MDD) and bipolar disorder (BD). We searched the PubMed, Cochrane Library, and ClinicalTrials.gov databases through December 2017 with the following key word combinations linked with the word OR: (a) mixed or mixed state, mixed features, DMX, mixed depression; (b) depressive, major depressive, MDE, MDD, bipolar, bipolar depression; and (c) antidepressant, antipsychotic, mood stabilizer, anticonvulsant, treatment, medication, algorithm, guideline, pharmacological. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. We found few randomized trials on pharmacological treatments for MDEs with mixed features. Of the 36 articles assessed for eligibility, 11 investigated MDEs with mixed features in mood disorders: six assessed the efficacy of antipsychotic drugs (lurasidone and ziprasidone) in the acute phase of MDD with mixed features, although four of these were post hoc analyses based on large randomized controlled trials. Four studies compared antipsychotic drugs (olanzapine, lurasidone, and ziprasidone) with placebo, and one study assessed the efficacy of combination therapy (olanzapine+fluoxetine) in the acute phase of BD with mixed features. Pharmacological treatments for MDEs with mixed features have focused on antipsychotics, although evidence of their efficacy is lacking. Additional well-designed clinical trials are needed.

• Journal of KIISE
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• v.44 no.4
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• pp.339-343
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• 2017

As the number of customers who write fake reviews is increasing, online shopping sites have difficulty in providing reliable reviews. Fake reviews are called review spam, and they are written to promote or defame the product. They directly affect sales volume of the product; therefore, it is important to detect review spam. Review spam detection methods suggested in prior researches were only based on an international site even though review spam is a widespread problem in domestic shopping sites. In this paper, we have presented new review features of the domestic shopping site NAVER, and we have applied the formerly introduced method to this site for performing an evaluation.

• Food Science and Biotechnology
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• v.16 no.5
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• pp.663-674
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• 2007

Starches from different botanical sources differ in the ratio of amylose to amylopectin contents, molecular structures of amylose and amylopectin, granule morphology, and minor-component contents. These structural features result in different gelatinization, pasting, retrogradation properties, and enzyme digestibility of starch granules. In this review, compositions and molecular structures of starches and their effects on the physicochemical properties are summarized and discussed.

• Korean Journal of Radiology
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• v.24 no.8
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• pp.739-751
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• 2023

Objective: This systematic review and meta-analysis evaluated the accuracy of preoperative breast magnetic resonance imaging (MRI) features and tumor-to-nipple distance (TND) for diagnosing occult nipple-areolar complex (NAC) involvement in breast cancer. Materials and Methods: The MEDLINE, Embase, and Cochrane databases were searched for articles published until March 20, 2022, excluding studies of patients with clinically evident NAC involvement or those treated with neoadjuvant chemotherapy. Study quality was assessed using the Quality Assessment of Diagnostic Accuracy Studies 2 tool. Two reviewers independently evaluated studies that reported the diagnostic performance of MRI imaging features such as continuity to the NAC, unilateral NAC enhancement, non-mass enhancement (NME) type, mass size (> 20 mm), and TND. Summary estimates of the sensitivity and specificity curves and the summary receiver operating characteristic (SROC) curve of the MRI features for NAC involvement were calculated using random-effects models. We also calculated the TND cutoffs required to achieve predetermined specificity values. Results: Fifteen studies (n = 4002 breast lesions) were analyzed. The pooled sensitivity and specificity (with 95% confidence intervals) for NAC involvement diagnosis were 71% (58-81) and 94% (91-96), respectively, for continuity to the NAC; 58% (45-70) and 97% (95-99), respectively, for unilateral NAC enhancement; 55% (46-64) and 83% (75-88), respectively, for NME type; and 88% (68-96) and 58% (40-75), respectively, for mass size (> 20 mm). TND had an area under the SROC curve of 0.799 for NAC involvement. A TND of 11.5 mm achieved a predetermined specificity of 85% with a sensitivity of 64%, and a TND of 12.3 mm yielded a predetermined specificity of 83% with a sensitivity of 65%. Conclusion: Continuity to the NAC and unilateral NAC enhancement may help predict occult NAC involvement in breast cancer. To achieve the desired diagnostic performance with TND, a suitable cutoff value should be considered.