• The Journal of the Convergence on Culture Technology
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• v.8 no.6
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• pp.479-486
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• 2022

Midlife is a critical time when people look back on their life and evaluate it from current state. In middle age, there is a satisfaction with achievement and a sense of crisis between reality and expectation. Research on pastoral counseling in the middle age to minimize problems and conflicts that occur in the transition period of crisis or opportunity is meaningful. Based on biblical principles, pastoral counseling should be able to help the client's needs and development tasks to be reproduced into a meaningful life on the basic premise of a realistic meeting with God. Therefore, through a literature review, the developmental views of Jung, Ericsson, Levinson, and the pioneers of middle-aged research, were examined. From this realistic point of view, the integration of pastoral counseling and reality therapy is considered to be very useful by allowing the harmony of internal dialogue and behavior to start together through the feasible realistic behavior and responsibility of one's choice. Insights on oneself and specific counseling methods of realistic therapy will present a new type of counseling through integration with pastoral counseling. Therefore after examining the theoretical background and characteristics of reality therapy, we intend to help overcome the middle-aged crisis through the meeting pastoral counseling and reality therapy.

• Journal of The Korean Society of Inherited Metabolic disease
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• v.21 no.1
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• pp.22-27
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• 2021

Propionic acidemia (PA) is an inherited autosomal recessive disorder, due to the deficiency of propionyl-CoA carboxylase (PCC). PCC is the enzyme which catalyzes the conversion of propionyl-CoA to D-methylmalonyl-CoA, and it is critical for the metabolism of amino acids, odd-chain fatty acids, and side chains of cholesterol. The clinical manifestations present mostly at the neonatal period with life-threatening metabolic acidosis and hyperammonemia. Here, we described a case of a 16-year-old Korean boy with late-onset PA who presented with embolic cerebral infarction due to dilated cardiomyopathy (DCMP) with left ventricular noncompaction. And he has family history of sudden cardiac death, so we performed metabolic screening and genetic tests. Elevated levels of 3-hydroxypropionic acid, methylcitric acid and propionylglycerine were detected in urine. Plasma acylcarnitine profile showed elevated propionylcarnitine (C3). Diagnosis of PA was confirmed by genetic analysis, which revealed compound heterozygous mutations, c.[1151T>G] (p.[Phe384Cys]) and c.[1228C>T] (p.[Arg410Trp]) in PCCB gene. His heart function is in improving state and the results of biochemical analysis are stable with heart failure medication and metabolic managements. We present a case of patient without episodes of metabolic decompensation who manifests DCMP as the first symptom of PA.

• The Journal of The Korea Institute of Intelligent Transport Systems
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• v.21 no.5
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• pp.274-286
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• 2022

Multi-object tracking has been studied for a long time under computer vision and plays a critical role in applications such as autonomous driving and driving assistance. Multi-object tracking techniques generally consist of a detector that detects objects and a tracker that tracks the detected objects. Various publicly available datasets allow us to train a detector model without much effort. However, there are relatively few publicly available datasets for training a tracker model, and configuring own tracker datasets takes a long time compared to configuring detector datasets. Hence, the detector is often developed separately with a tracker module. However, the separated tracker should be adjusted whenever the former detector model is changed. This study proposes a system that can train a model that performs detection and tracking simultaneously using only the detector training datasets. In particular, a Siam network with augmentation is used to compose the detector and tracker. Experiments are conducted on public datasets to verify that the proposed algorithm can formulate a real-time multi-object tracker comparable to the state-of-the-art tracker models.

• Nutrition Research and Practice
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• v.17 no.2
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• pp.228-240
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• 2023

BACKGROUND/OBJECTIVES: Cocoa consumption is associated with health benefits due to its high content of polyphenols. However, the effects of short-term cocoa consumption remain unclear. We aimed to determine the effects generated by cocoa consumption (for 7 days) in young adults in normoweight and class II obesity. SUBJECTS/METHODS: Before-and-after study was carried out in normoweight (NW) (n = 15) and class II obesity (CIIO) (n = 15) young adults. The NW and CIIO participants consumed 25 and 39 g of cocoa, respectively, per day for 7 days. The effect of cocoa consumption was evaluated on the lipid profile, insulin resistance (IR), and inflammation. Oxidative damage was also examined by assessing the biomarkers of oxidative damage in plasma. In addition, recombinant human insulin was incubated with blood obtained from the participants, and the molecular damage to the hormone was analyzed. RESULTS: Cocoa consumption resulted in decreased low-density lipoprotein-cholesterol in both groups (P = 0.04), while the total cholesterol, high-density lipoprotein cholesterol, and triglycerides were maintained at the recommended levels. Initially, IR was detected in the CIIO group (homeostasis model assessment [HOMA] = 4.78 ± 0.4), which is associated with molecular damage to insulin. Interestingly, intervention with cocoa resulted in improved IR (HOMA = 3.14 ± 0.31) (P = 0.0018) as well as molecular damage to insulin. Finally, cocoa consumption significant decreased the arginase activity (P = 0.0249) in the CIIO group; this is a critical enzymatic activity in the inflammatory process associated with obesity. CONCLUSIONS: The short-term consumption of cocoa improves the lipid profile, exerts anti-inflammatory effects, and protects against oxidative damage. Results of this study indicate that cocoa consumption can potentially improve IR and restore a healthy redox status.

• KSCE Journal of Civil and Environmental Engineering Research
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• v.26 no.4A
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• pp.647-657
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• 2006

Probabilistic Risk Assessment considering statistically random variables is performed for the preliminary design of a Cable Stayed Bridge, which is Prestressed Concrete Bridge consisted of cable and plate girders, based on the method of Working Stress Design and Strength Design. Component reliabilities of cables and girders have been evaluated using the response surface of the design variables at the selected critical sections based on the maximum shear, positive and negative moment locations. Response Surface Method (RSM) is successfully applied for reliability analyses for this relatively small probability of failure of the complex structure, which is hard to obtain through Monte-Carlo Simulations. or through First Order Second Moment Method that can not easily calculate the derivative terms of implicit limit state functions. For the analysis of system reliability, parallel resistance system consisting of cables and plate girder is changed into series connection system and the result of system reliability of total structure is presented. As a system reliability, the upper and lower probabilities of failure for the structural system have been evaluated and compared with the suggested prediction method for the combination of failure modes. The suggested prediction method for the combination of failure modes reveals the unexpected combinations of element failures in significantly reduced time and efforts compared with the previous permutation method or system reliability analysis method, which calculates upper and lower bound failure probabilities.

• Journal of English Language & Literature
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• v.56 no.1
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• pp.135-156
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• 2010

In the 1640's and 1650's, Milton wrote many prose works on a variety of topics such as education, church polity, divorce, censorship, regicide, tithing, civil liberty, and blindness. Much of his prose shows us turbulent decades of English history. In this period, he also published his first collection of poems and wrote sonnets. He wrote 23 sonnets in his life, and many sonnets Milton wrote after he had become Latin secretary are occasional poems in historical time. Milton's sonnets, as Annabel Patterson says, are a marker in his personal development, in his life, in his career as a writer, and in the history of his time. Four sonnets (15, 16, 17, 23), written between 1648 and 1655, were not published in the collected edition of Milton's poem in 1673. These sonnets, addressed to leaders of the Parliamentary party during the English revolution, Thomas Fairfax, Oliver Cromwell, and Henry Vane, and to his friend Cyriack Skinner, have been known as "commonwealth" sonnets. They are also called as "heroic sonnets" because they have the common style and theme with his later heroic epic poems. These sonnets were finally published in 1694 by Milton's nephew John Phillips. Milton was interested in religious, domestic, and political liberty for his lifetime, and his heroic sonnets also deal with these ideas of liberty. Milton asks civil liberty from Fairfax, freedom in religion from Cromwell, and from Vane for the reconciliation of both. The aim of this article is to examine how the rhetorical strategies of his "left-handed" prose interact with those of his "right-handed" poetry. This paper explores the relationship between Milton's heroic sonnets and his prose works, such as The Second Defense of the People of England, A Treatise of Civil Power, and The Likeliest Means to Remove Hirelings. Milton deals with the critical issues of religious tolerance, the separation of church and state, liberty of conscience and defense of his blindness, and attempts to define the statesman's role in peacetime England in these heroic sonnets and prose works.

• Korean Journal of Culture and Social Issue
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• v.16 no.3
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• pp.241-265
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• 2010

This study reviewed the present state and differences of rehabilitation programs of the gambling addiction by comparing with other psychiatric disorder(including psychotic disability and alcohol addiction). This study also intended to suggest necessities, meanings and inherent fields of the rehabilitation in gambling addiction. First of all, the government and a few gambling industries run clinic centers for gamblers and their families, but have been lacked rehabilitation services for social comeback and adaptation or devaluated rehabilitation services than therapies. Gambling addict didn't have impairments of the cognitive function and their daily abilities was better than any other psychiatric disorders. But Damage of social role or function of gambling addiction was severe. And it is caused by nonadaptive nature of gambling behavior, personality/emotional change through gambling addiction process, and previous personality problem etc. There are many severe failure of social role and its attendant bankrupcy, family's problems and social poverty in gambling addiction, Therefore, important fields in the rehabilitation of gambling addiction should be services for basic social comeback support service, credit recovery support, monetary management, support of rehabilitation of family and vocational rehabilitation. Finally, the significance and critical points of the current study has been discussed as well.

• Journal of Industrial Convergence
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• v.21 no.9
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• pp.41-48
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• 2023

Recently, there has been a sharp increase in the damages caused by ransomware across various sectors of society, including individuals, businesses, and nations. Ransomware is a malicious software that infiltrates user computer systems, encrypts important files, and demands a ransom in exchange for restoring access to the files. Due to its diverse and sophisticated attack techniques, ransomware is more challenging to detect than other types of malware, and its impact is significant. Therefore, there is a critical need for accurate detection and mitigation methods. To achieve precise ransomware detection, an inference engine of a detection system must possess knowledge of ransomware features. In this paper, we propose a model to extract and classify the characteristics of ransomware for accurate detection of ransomware, calculate the similarity of the extracted characteristics, reduce the dimension of the characteristics, group the reduced characteristics, and classify the characteristics of ransomware into attack tools, inflow paths, installation files, command and control, executable files, acquisition rights, circumvention techniques, collected information, leakage techniques, and state changes of the target system. The classified characteristics were applied to the existing ransomware to prove the validity of the classification, and later, if the inference engine learned using this classification technique is installed in the detection system, most of the newly emerging and variant ransomware can be detected.

• Tunnel and Underground Space
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• v.34 no.3
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• pp.218-230
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• 2024

Recently, many studies have been conducted for safety management in construction sites by incorporating computer vision. Anchor box parameters are used in state-of-the-art deep learning-based object detection and segmentation, and the optimized parameters are critical in the training process to ensure consistent accuracy. Those parameters are generally tuned by fixing the shape and size by the user's heuristic method, and a single parameter controls the training rate in the model. However, the anchor box parameters are sensitive depending on the type of object and the size of the object, and as the number of training data increases. There is a limit to reflecting all the characteristics of the training data with a single parameter. Therefore, this paper suggests a method of applying multiple parameters optimized through data split to solve the above-mentioned problem. Criteria for efficiently segmenting integrated training data according to object size, number of objects, and shape of objects were established, and the effectiveness of the proposed data split method was verified through a comparative study of conventional scheme and proposed methods.

• Journal of Life Science
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• v.34 no.7
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• pp.520-530
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• 2024

Tumor suppressor genes (TSGs) play a crucial role in maintaining cellular homeostasis. When the function of these genes is lost, it can lead to cellular plasticity that drives the development of various cancers, including small-cell lung cancer (SCLC), which is known for its aggressive nature. SCLC is primarily driven by numerous loss-of-function mutations in TSGs, often involving genes that encode epigenetic regulators. These mutations pose a significant therapeutic challenge as they are not directly targetable. However, understanding the molecular changes resulting from these mutations might provide insights for developing tumor intervention strategies. We propose that despite the heterogeneous genomic landscape of SCLC, the effects of mutations in patient tumors converge on a few critical pathways that drive malignancy. Specifically, alterations in epigenetic regulators lead to transcriptional dysregulation, pushing mutant cells toward a highly plastic state that makes them immune evasive and highly metastatic. This review will highlight studies showing how an imbalance of epigenetic regulators with opposing functions leads to the loss of immune recognition markers, effectively hiding tumor cells from the immune system. Additionally, we will discuss the role of epigenetic regulators in maintaining neuroendocrine features and how aberrant transcriptional control promotes epithelial-to-mesenchymal transition during tumor development. Although these pathways seem distinct, we emphasize that they often share common molecular drivers and mediators. Understanding the connection among frequently altered epigenetic regulators will provide valuable insights into the molecular mechanisms underlying SCLC development, potentially revealing preventive and therapeutic vulnerabilities for SCLC and other cancers with similar mutations.