• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.12
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• pp.3330-3344
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• 2023

This paper proposes an antenna performance prediction model in the autonomous driving radar manufacturing process. Our research work is based upon a challenge dataset, Driving Radar Manufacturing Process Dataset, and a typical AutoML machine learning workflow engine, Pycaret open-source Python library. Note that the dataset contains the total 70 data-items, out of which 54 used as input features and 16 used as output features, and the dataset is properly built into resolving the multi-output regression problem. During the data regression analysis and preprocessing phase, we identified several input features having similar correlations and so detached some of those input features, which may become a serious cause of the multicollinearity problem that affect the overall model performance. In the training phase, we train each of output-feature regression models by using the AutoML approach. Next, we selected the top 5 models showing the higher performances in the AutoML result reports and applied the ensemble method so as for the selected models' performances to be improved. In performing the experimental performance evaluation of the regression prediction model, we particularly used two metrics, MAE and RMSE, and the results of which were 0.6928 and 1.2065, respectively. Additionally, we carried out a series of experiments to verify the proposed model's performance by comparing with other existing models' performances. In conclusion, we enhance accuracy for safer autonomous vehicles, reduces manufacturing costs through AutoML-Pycaret and machine learning ensembled model, and prevents the production of faulty radar systems, conserving resources. Ultimately, the proposed model holds significant promise not only for antenna performance but also for improving manufacturing quality and advancing radar systems in autonomous vehicles.

• Journal of Society of Preventive Korean Medicine
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• v.28 no.1
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• pp.119-130
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• 2024

Objectives : The objective of this review is to examine the variety of evaluation parameters utilized in clinical trials that assess the anticancer efficacy of herbal medicine, focusing on the importance of including both symptomatic management and direct anticancer effectiveness. Methods : A detailed literature review was conducted across PubMed, Embase, and the Cochrane Library to identify clinical trials investigating the antitumor efficacy of herbal medicine. The search was performed on February 22, 2024. This review specifically examined the employed outcome measures, which were then categorized and analyzed to understand their relevance and application in evaluating the anticancer properties of herbal medicine. Results : From an initial search of 900 records, 15 clinical trials were selected for in-depth analysis after deduplication and screening. These studies evaluated the efficacy of herbal medicine across various cancers, including hepatocellular carcinoma, colorectal cancer, and breast cancer, using outcome measures such as survival rates, disease control rates, and quality of life improvements. The research spanned multiple countries, primarily in East Asia and the United States, reflecting a global interest in herbal medicine as a complementary approach to cancer treatment. The present study demonstrated that herbal medicine, especially when used alongside standard treatments, potentially improved clinical outcomes and patient well-being. Conclusions : The findings of this review highlight the need for a broader focus on the full range of therapeutic capabilities of herbal medicine, including its direct anticancer effects, in the management of cancer patients. Future oncology research involving herbal medicine should integrate a wide spectrum of clinical endpoints to fully ascertain its impact on cancer treatment and patient health.

• Journal of the Korea Society of Computer and Information
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• v.29 no.1
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• pp.11-19
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• 2024

Multi-agent systems can be utilized in various real-world cooperative environments such as battlefield engagements and unmanned transport vehicles. In the context of battlefield engagements, where dense reward design faces challenges due to limited domain knowledge, it is crucial to consider situations that are learned through explicit sparse rewards. This paper explores the collaborative potential among allied agents in a battlefield scenario. Utilizing the Multi-Robot Warehouse Environment(RWARE) as a sparse reward environment, we define analogous problems and establish evaluation criteria. Constructing a learning environment with the QMIX algorithm from the reinforcement learning library Ray RLlib, we enhance the Agent Network of QMIX and integrate Random Network Distillation(RND). This enables the extraction of patterns and temporal features from partial observations of agents, confirming the potential for improving the acquisition of sparse reward experiences through intrinsic rewards.

• Restorative Dentistry and Endodontics
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• v.49 no.2
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• pp.22.1-22.12
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• 2024

Objectives: This systematic review addressed the question: "What is the prevalence of apical periodontitis in patients prior to hematopoietic cell transplantation?" Materials and Methods: A systematic search was conducted in MEDLINE/PubMed, Cochrane Library, Scopus, Web of Science, Embase, and Grey Literature Report. Eligibility criteria were based on the condition, content, and population strategy: the condition was the radiographic prevalence of apical periodontitis, the content comprised patients scheduled for hematopoietic stem cell transplantation, and the population consisted of adult and pediatric patients. The revised Risk of Bias in Nonrandomized Studies of Exposure tool was used to assess the quality of studies. The Grading Recommendations Assessments, Development, and Evaluation (GRADE) tool was used to assess the quality of evidence. Results: Eight studies were included in this review. The average number of patients with apical periodontitis was 15.65% (range, 2.1%-43.34%). One study was classified as having a very high risk of bias, 1 with a high risk of bias, and 6 with some concern for bias. GRADE analysis showed a very low certainty of evidence. Significant limitations concerning the absence of control over confounding variables were identified. Conclusions: With the caveat of the very low quality of evidence in the studies reviewed, there was a low to moderate prevalence of apical periodontitis in patients prior to undergoing hematopoietic cell transplantation.

• The Journal of Internal Korean Medicine
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• v.44 no.6
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• pp.1197-1211
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• 2023

Objectives: This study presents evidence by analyzing the research trends in acupuncture treatment for cluster headache in the last 10 years. Methods: Randomized controlled trials (RCTs) about acupuncture for cluster headache were searched from the China National Knowledge Infrastructure, PubMed, Cochrane Library, Oriental Medicine Advanced Searching Integrated System, ScienceON, Korean Studies Information Service System, and Research Information Sharing Service. The search terms were the combinations of "cluster headache", "acupuncture", and "needle therapy", and the articles were restricted to those published between 2013 and 2023. Only RCTs were selected. The risk of bias (RoB) was assessed according to the revised Cochrane RoB2 criteria. Results: Six RCTs were selected and analyzed in this review. All selected studies were conducted in China. All RCTs comprised 628 participants. Manual acupuncture was used in all studies. Acupuncture targeting the sphenopalatine ganglion was performed in two papers published after 2020. ST8, Ex-HIN3, and GB14 were the most frequently used acupoints in acupuncture treatment. The most commonly used indicators for evaluation were headache attack frequency, clinical efficacy, and the visual analog scale. In each study, adding acupuncture treatment to conventional therapy had significant effects in relieving the symptoms of cluster headaches. Conclusion: The results suggest that acupuncture is an effective treatment for cluster headache. To ensure objective evidence for the effectiveness of acupuncture treatment in cluster headache, it is important to continue large-scale case reports and RCTs.

• Fisheries and Aquatic Sciences
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• v.27 no.2
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• pp.87-99
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• 2024

Global climate change, followed by an increase in anthropogenic activities in aquatic ecosystems, and species invasions, has resulted in a decline in aquatic organism biodiversity. The Batanghari River, Sumatra's longest river, is polluted by mercury-containing illegal gold mining waste (PETI), industrial pollution, and domestic waste. Several studies have provided evidence suggesting a decline in fish biodiversity within the Batanghari River. However, a comprehensive evaluation of the present status of biodiversity in this river is currently lacking. The species under investigation were identified through various molecular-based identification methods, as well as morphological identification, which involved the use of neighbor-joining (NJ) trees. All collected specimens were initially identified using morphological techniques and subsequently confirmed with molecular barcoding analysis. Morphological and DNA barcoding identification categorized all specimens (1,692) into 36 species, 30 genera and 16 families, representing five orders. A total of 36 DNA barcodes were generated from 30 genera using a 650-bp-long fragment of the mitochondrial cytochrome oxidase subunit I (COI) gene. Based on the Kimura two-parameter model (K2P), The minimum and maximum genetic divergences based on K2P distance were 0.003 and 0.331, respectively, and the average genetic divergence within genera, families, and orders was 0.05, 0.12, 0.16 respectively. In addition, the average interspecific distance was approximately 2.17 times higher than the mean intraspecific distance. Our results showed that the COI barcode enabled accurate fish species identification in the Batanghari River. Furthermore, the present work will establish a comprehensive DNA barcode library for freshwater fishes along Batanghari River and be significantly useful in future efforts to monitor, conserve, and manage fisheries in Indonesia.

• Journal of Korean Medicine Rehabilitation
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• v.34 no.1
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• pp.83-95
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• 2024

Objectives This review was conducted to evaluate the therapeutic effects of manual acupuncture (MA) for shoulder impingement syndrome (SIS). Methods We searched 12 electronic databases (DBpia, Korean studies Information Service System [KISS], Oriental Medicine Advanced Searching Integrated System [OASIS], Research Information Sharing Service [RISS], China National Knowledge Infrastructure [CNKI], CINAHL, Clinical Key, Cochrane Library, Embase, JAMA, PubMed, Web of Science) to find randomized-controlled clinical trials (RCTs) investigating therapeutic effects of MA for treating SIS. Shoulder Pain and Disability Index scores and numeric pain rating scale or visual analogue scale were analyzed as the main evaluation criteria. Results Among 181 studies, 169 were screened and only 12 RCTs were eligible in our review. Finally, 11 RCTs could be statistically analyzed. MA was more effective than sham treatment and physical therapy in terms of reducing pain (p=0.003, p=0.0007 each). Electroacupuncture (EA) showed more significant effect than physical therapy (PT) for improving shoulder pain (p<0.00001) and shoulder functionality (p<0.00001). Conclusions These results suggest that MA and EA could be superior option for treating SIS than sham treatment or PT. However this review has its limitations due to the small sample size and lack of well-designed RCTs that were included in the study. Further well-designed RCTs are necessary to provide high-level evidence.

• Dementia and Neurocognitive Disorders
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• v.21 no.4
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• pp.138-146
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• 2022

Background and Purpose: Magnetic resonance imaging (MRI) helps with brain development analysis and disease diagnosis. Brain volumes measured from different ages using MRI provides useful information in clinical evaluation and research. Therefore, we trained machine learning models that predict the brain age gap of healthy subjects in the East Asian population using T1 brain MRI volume images. Methods: In total, 154 T1-weighted MRIs of healthy subjects (55-83 years of age) were collected from an East Asian community. The information of age, gender, and education level was collected for each participant. The MRIs of the participants were preprocessed using FreeSurfer(https://surfer.nmr.mgh.harvard.edu/) to collect the brain volume data. We trained the models using different supervised machine learning regression algorithms from the scikit-learn (https://scikit-learn.org/) library. Results: The trained models comprised 19 features that had been reduced from 55 brain volume labels. The algorithm BayesianRidge (BR) achieved a mean absolute error (MAE) and r squared (R²) of 3 and 0.3 years, respectively, in predicting the age of the new subjects compared to other regression methods. The results of feature importance analysis showed that the right pallidum, white matter hypointensities on T1-MRI scans, and left hippocampus comprise some of the essential features in predicting brain age. Conclusions: The MAE and R² accuracies of the BR model predicting brain age gap in the East Asian population showed that the model could reduce the dimensionality of neuroimaging data to provide a meaningful biomarker for individual brain aging.

• Journal of the Institute of Electronics Engineers of Korea SD
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• v.48 no.7
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• pp.37-47
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• 2011

Real picture like high quality computer graphic is widely used in various fields and shader processor, a key part of a graphic processor, has been advanced to programmable unified shader. However, The existing graphic processors have been optimized to commercial algorithms, so development of an algorithm which is not based on it requires an independent shader processor. In this paper, we have designed and implemented a control unit to support high quality 3 dimensional computer graphic image on programmable integrated shader processor. We have done evaluation through functional level simulation of designed control unit. Hardware resource usage rate are measured by implementing directly on FPGA Virtex-4 and execution speed are verified by applying ASIC library. the result of an evaluation shows that the control unit has the commands more about 1.5 times compared to the other shader processors that is a behavior similar to the control unit and with a number of processing units used in a shader processor, compared with the other processors, overall performance of the control unit is improved about 3.1 GFLOPS.

• Asian Pacific Journal of Cancer Prevention
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• v.13 no.10
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• pp.5263-5272
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• 2012

Background: Gastric cancer (GC) is one of the most common cancers in China. Adjuvant chemotherapy (AC) is a routine auxiliary treatment for GC recommended by the guidelines issued in 2011 by the Ministry of Health of the People's Republic of China, but the relevant credible consequences in China have been insufficient because of China's late start and ethical concerns. Methods: A series of databases, including Cochrane Library, MEDLINE, EMBASE, the Chinese database of the National Knowledge Infrastructure and the VIP database, were searched by 2 reviewers independently for studies investigating AC for GC through March 2012. The retrieved literature was screened according to the eligibility criteria. Results: A total of 35 randomized control trials (RCTs) were subjected to the final analysis, including 4,043 patients in treatment group and 3,884 in the control group, as well as 4 clinical-control trials (CCTs), which accessed the final analysis with 238 and 252 patients, respectively. AC reduced the risk of death as a protective treatment with statistical significance (HR=0.91, 95%CI: [0.85, 0.97], P=0.002), and it seemed more effective for Asian than non-Asian patients. The effects of AC were not influenced by the starting time (P>0.05). D2 lymphadenectomy-based chemotherapy was effective (HR=0.89, 95%CI: [0.80, 0.99], P=0.04). Oral S-1 40 mg/m2 after D2 lymphadenectomy might be a better choice for Asians with advanced GC and might result in a greater reduction of adverse events than in non-Asian patients. GRADE quality assessment determined that the strength of the evidence from foreign studies from Europe, the United States and Asian countries other than China was high, while it was moderate for Chinese studies. Conclusion: AC was effective or even curative in Chinese patients in general, although it is still necessary to optimize a targeted AC scheme for Chinese patients with GC.