• Journal of Digestive Cancer Research
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• v.10 no.2
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• pp.107-111
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• 2022

In 2019, coronavirus disease (COVID-19), which originated in Wuhan, has spread worldwide. In most people, COVID-19 symptoms are not severe. However, the mortality rate and severity were high in risk groups such as in older people and patients with underlying diseases. As patients with cancer are one of the risk groups, the vaccination for COVID-19 is emphasized in these patients. However, COVID-19 vaccines are not tested enough in special groups such as in patients with cancer because these vaccines are developed at an unprecedented speed. This causes confusion about whether patients undergoing chemotherapy should be vaccinated or not. In this study, international guidelines and studies were reviewed. Most of the studies recommended vaccination. No evidences of any negative effects for the efficacy or safety were recorded in patients undergoing cytotoxic, targeted, and immune agents. However, in critical conditions such as cytopenia, vaccination must be decided according to the patient's condition. COVID-19 vaccines were also recommended for patients on surgery or radiation therapy. If possible, vaccine is given before surgery to avoid confusion between surgical complications and side effects of the vaccine. The radiation recall phenomenon after vaccination has been reported in some cases of radiation therapy. Clinicians should consider these situations before vaccinating each patient. We hope that clearer guidelines will be established by accumulating verified data.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.450-457
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• 2022

The construction industry is demanding, dynamic, and complex making it difficult for workers to recognize hazards. The nature of construction tasks exposes workers to several critical risk factors, such as a high rate of exertion and fatigue. Recent studies suggest that fatigue may impact hazard recognition in the construction industry. However, most studies rely on subjective measures when assessing the relationship between physical fatigue and hazard recognition, limiting such studies' efficacy. Thus, this study examined the relationship between physical fatigue and hazard recognition using a controlled experiment. Worker fatigue levels were captured using physiological data and a subjective exertion scale. The findings confirmed that physical exertion plays a significant role in hazard recognition skills (p < 0.05). This research contributes to theory and practice by providing a process for objectively assessing the influence of physical fatigue on worker safety and providing construction professionals with some critical insight needed to improve workplace safety.

• Tuberculosis and Respiratory Diseases
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• v.86 no.4
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• pp.245-250
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• 2023

The healing process of tracheobronchial tuberculosis (TB) results in tracheobronchial fibrosis causing airway stenosis in 11% to 42% of patients. In Korea, where pulmonary TB is still prevalent, post-TB tracheobronchial stenosis (PTTS) is one of the main causes of benign airway stenosis causing progressive dyspnea, hypoxemia, and often life-threatening respiratory insufficiency. The development of rigid bronchoscopy replaced surgical management 30 years ago, and nowadays PTTS is mainly managed by bronchoscopic intervention in Korea. Similar to pulmonary TB, tracheobronchial TB is treated with combination of anti-TB medications. The indication of rigid bronchoscopy is more than American Thoracic Society (ATS) grade 3 dyspnea in PTTS patients. First, the narrowed airway is dilated by multiple techniques including ballooning, laser resection, and bougienation under general anesthesia. Then, most of the patients need silicone stenting to maintain the patency of dilated airway; 1.5 to 2 years after indwelling, the stent could be removed, this has shown a 70% success rate. Acute complications without mortality develop in less than 10% of patients. Subgroup analysis showed successful removal of the stent was significantly associated with male sex, young age, good baseline lung function and absence of complete one lobe collapse. In conclusion, rigid bronchoscopy could be applied to PTTS patients with acceptable efficacy and tolerable safety.

• International Journal of Computer Science & Network Security
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• v.23 no.10
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• pp.89-96
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• 2023

Intrusion detection has been widely studied in both industry and academia, but cybersecurity analysts always want more accuracy and global threat analysis to secure their systems in cyberspace. Big data represent the great challenge of intrusion detection systems, making it hard to monitor and analyze this large volume of data using traditional techniques. Recently, deep learning has been emerged as a new approach which enables the use of Big Data with a low training time and high accuracy rate. In this paper, we propose an approach of an IDS based on cloud computing and the integration of big data and deep learning techniques to detect different attacks as early as possible. To demonstrate the efficacy of this system, we implement the proposed system within Microsoft Azure Cloud, as it provides both processing power and storage capabilities, using a convolutional neural network (CNN-IDS) with the distributed computing environment Apache Spark, integrated with Keras Deep Learning Library. We study the performance of the model in two categories of classification (binary and multiclass) using CSE-CIC-IDS2018 dataset. Our system showed a great performance due to the integration of deep learning technique and Apache Spark engine.

• Journal of Acupuncture Research
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• v.40 no.4
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• pp.308-318
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• 2023

To determine the effectiveness of acupuncture in treating restless legs syndrome (RLS), we conducted a literature review of randomized controlled trials (RCTs) that utilized acupuncture as an intervention for patients diagnosed with RLS. Relevant clinical studies (n = 158) from seven databases (the Cochrane Library, PubMed, Embase, CNKI, KISS, RISS, and OASIS) were included based on the inclusion and exclusion criteria and analyzed. Moreover, 6 RCTs were selected for review. In all six studies, it was indicated people who underwent acupuncture treatment showed significant improvements in their overall health. An increase in the treatment efficacy rate, sleep quality, and quality of life indicators after the acupuncture treatment was confirmed. The severity of pain as assessed using the visual analog scale (VAS) scores and International RLS Study Group Rating Scale (IRLSRS) scores and the severity of RLS symptoms were significantly reduced. Any significant side effects were not reported. Acupuncture is suggested as an effective and safe treatment method for RLS. However, further large-scale RCT studies are needed to confirm our findings.

• Nuclear Engineering and Technology
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• v.56 no.1
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• pp.48-55
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• 2024

The safety-related raw water system's strong operational condition supports the radiation defense and biological shield of nuclear plant containment structures. Gaps and failures in maintaining proper working condition of main equipment like pump were among the most common causes of unavailability of safety related raw water systems. We integrated the advanced data analytics tools to evaluate the maintenance records of water systems and gave special consideration to deficiencies related to pump. We utilized maintenance data over a three-and-a-half-year period to produce metrics like MTBF, MTTF, MTTR, and failure rate. The visual analytic platform using tableau identified the efficacy of maintenance & deficiency in the safety raw water systems. When the number of water quality violation was compared to the other O&M deficiencies, it was discovered that water quality violations account for roughly 15% of the system's deficiencies. The pumps were substantial contributors to the deficit. Pump availability was predicted and optimized with real time data using response surface method. The prediction model was significant with r-squared value of 0.98. This prediction model can be used to predict forth coming pump failures in nuclear plant.

• Hip & pelvis
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• v.35 no.1
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• pp.15-23
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• 2023

Purpose: Hip microinstability is defined as hip pain with a snapping and/or blocking sensation accompanied by fine anatomical anomalies. Arthroscopic capsular plication has been proposed as a treatment modality for patients without major anatomic anomalies and after failure of properly administered conservative treatment. The purpose of this study was to determine the efficacy of this procedure and to evaluate potential predictors of poor outcome. Materials and Methods: A review of 26 capsular plications in 25 patients was conducted. The mean postoperative follow-up period for the remaining patients was 29 months. Analysis of data included demographic, radiological, and interventional data. Calculation of pre- and postoperative WOMAC (Western Ontario and McMaster Universities Osteoarthritis) index was performed. Pre- and postoperative sports activities and satisfaction were also documented. A P<0.05 was considered significant. Results: No major complications were identified in this series. The mean pre- and postoperative WOMAC scores were 62.6 and 24.2, respectively. The WOMAC index showed statistically significant postoperative improvement (P=0.0009). The mean satisfaction rate was 7.7/10. Four patients with persistent pain underwent a periacetabular osteotomy. A lateral center edge angle ≤21° was detected in all hips at presentation. We were not able to demonstrate any difference in postoperative evolution with regard to the presence of hip dysplasia (P>0.05), probably because the sample size was too small. Conclusion: Capsular plication can result in significant clinical and functional improvement in carefully selected cases of hip microinstability.

• International Journal of Computer Science & Network Security
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• v.23 no.12
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• pp.213-219
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• 2023

In recent years, popularity of deep learning (DL) is increased due to its ability to extract features from Hyperspectral images. A lack of discrimination power in the features produced by traditional machine learning algorithms has resulted in poor classification results. It's also a study topic to find out how to get excellent classification results with limited samples without getting overfitting issues in hyperspectral images (HSIs). These issues can be addressed by utilising a new learning network structure developed in this study.EfficientNet-B4-Based Convolutional network (EN-B4), which is why it is critical to maintain a constant ratio between the dimensions of network resolution, width, and depth in order to achieve a balance. The weight of the proposed model is optimized by Search and Rescue Operations (SRO), which is inspired by the explorations carried out by humans during search and rescue processes. Tests were conducted on two datasets to verify the efficacy of EN-B4, with Indian Pines (IP) and the University of Pavia (UP) dataset. Experiments show that EN-B4 outperforms other state-of-the-art approaches in terms of classification accuracy.

• International Journal of Computer Science & Network Security
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• v.24 no.5
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• pp.64-72
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• 2024

In recent times cyber attackers can use Artificial Intelligence (AI) to boost the sophistication and scope of attacks. On the defense side, AI is used to enhance defense plans, to boost the robustness, flexibility, and efficiency of defense systems, which means adapting to environmental changes to reduce impacts. With increased developments in the field of information and communication technologies, various exploits occur as a danger sign to cyber security and these exploitations are changing rapidly. Cyber criminals use new, sophisticated tactics to boost their attack speed and size. Consequently, there is a need for more flexible, adaptable and strong cyber defense systems that can identify a wide range of threats in real-time. In recent years, the adoption of AI approaches has increased and maintained a vital role in the detection and prevention of cyber threats. In this paper, an Ensemble Deep Restricted Boltzmann Machine (EDRBM) is developed for the classification of cybersecurity threats in case of a large-scale network environment. The EDRBM acts as a classification model that enables the classification of malicious flowsets from the largescale network. The simulation is conducted to test the efficacy of the proposed EDRBM under various malware attacks. The simulation results show that the proposed method achieves higher classification rate in classifying the malware in the flowsets i.e., malicious flowsets than other methods.

• Biomedical Science Letters
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• v.30 no.2
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• pp.37-48
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• 2024

Liposomes are one of the most actively studied and promising drug delivery systems for the treatment of various diseases. In this study, an aptamer-conjugated liposome called "aptamosome" was used, in which an anti-PD-L1 aptamer targeting cancer cells was conjugated to the liposome. These aptamosomes showed remarkable cellular uptake and efficient delivery to Lewis lung carcinoma 2 (LL/2) cancer cells. In addition, suberoylanilide hydroxamic acid (SAHA), a histone deacetylase inhibitor (HDACi), was delivered through this aptamer to induce a strong anticancer immunotherapeutic effect. The results of this study showed that when LL/2 cells were treated with SAHA-entrapped aptamosome [SAHA] and liposome [SAHA] and free SAHA, aptamosome [SAHA] improved cell death compared with that of liposomes [SAHA] or free SAHA, and it has demonstrated anticancer efficacy. Moreover, aptamosome [SAHA] induce the secretion of chemokines that promote the migration of activated T cells into tumor tissues. Finally, in vivo experiments showed that aptamosome [SAHA] significantly inhibited the growth rate of LL/2 tumors. Therefore, liposomes combined with an anti-PD-L1 aptamer for efficient SAHA delivery are suggested as an excellent model for drug delivery systems suitable for targeting cancer cells.