Journal of Family Resource Management and Policy Review
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v.27
no.1
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pp.25-39
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2023
This study aims to analyze the differences in the strength of single-parent families based on family characteristics. Using a sample of 267 female single parents, we explore the factors that impact family strength. We found that several variables impact the strength of families headed by a female single parent: the length of time members had lived together as a single-parent family, co-residents, interactions with ex-spouses, full-time work, and household income. Based on these findings, we suggest that the length of time that single-parent families have lived together is an important criterion for planning and evaluating the family policies and services offered by healthy family support centers. Furthermore, in the context of family resource management, family policies and programs that address time management and family life planning for full-time single parents should be developed and implemented.
In a signal transduction network, from the perception of stress signals to stress-responsive gene ex- pression, binding of various transcription factors to cis-acting elements in stress-responsive promoters coordinate the adaptation of plants to abiotic stresses. Among the AP2/ERF transcription factor family genes, group VII ERF genes, such as RAP2.12, RAP2.2, RAP2.3, AtERF73/HRE1, and AtERF71/ HRE2, are known to be involved in the response to hypoxia stress in Arabidopsis. In this study, we dissected the HRE1 promoter to identify hypoxia-responsive region(s). The 1,000 bp upstream promoter region of HRE1 showed increased promoter activity in Arabidopsis protoplasts and transgenic plants under hypoxia conditions. Analysis of the promoter deletion series of HRE1, including 1,000 bp, 800 bp, 600 bp, 400 bp, 200 bp, 100 bp, and 50 bp upstream promoter regions, using firefly luciferase and GUS as reporter genes indicated that the -200 to -100 region of the HRE1 promoter is responsible for the transcriptional activation of HRE1 in response to hypoxia. In addition, we identified two putative hypoxia-responsive cis-acting elements, the ERF-binding site and DOF-binding site, in the -200 to -100 region of the HRE1 promoter, suggesting that the expression of HRE1 might be regulated via the ERF transcription factor(s) and/or DOF transcription factor(s). Collectively, our results suggest that HRE1 contains hypoxia-responsive cis-acting elements in the -200 to -100 region of its promoter.
Juhyeong Kang;Yeojin Kim;Jiseon Yang;Seungwon Chung;Sungeun Hwang;Uran Oh;Hyang Woon Lee
International journal of advanced smart convergence
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v.12
no.3
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pp.89-103
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2023
Obstructive sleep apnea (OSA) is one of the most prevalent sleep disorders that can lead to serious consequences, including hypertension and/or cardiovascular diseases, if not treated promptly. Continuous positive airway pressure (CPAP) is widely recognized as the most effective treatment for OSA, which needs the proper titration of airway pressure to achieve the most effective treatment results. However, the process of CPAP titration can be time-consuming and cumbersome. There is a growing importance in predicting personalized CPAP pressure before CPAP treatment. The primary objective of this study was to optimize the CPAP titration process for obstructive sleep apnea patients through EEG feature engineering with machine learning techniques. We aimed to identify and utilize the most critical EEG features to forecast key OSA predictive indicators, ultimately facilitating more precise and personalized CPAP treatment strategies. Here, we analyzed 126 OSA patients' PSG datasets before and after the CPAP treatment. We extracted 29 EEG features to predict the features that have high importance on the OSA prediction index which are AHI and SpO2 by applying the Shapley Additive exPlanation (SHAP) method. Through extracted EEG features, we confirmed the six EEG features that had high importance in predicting AHI and SpO2 using XGBoost, Support Vector Machine regression, and Random Forest Regression. By utilizing the predictive capabilities of EEG-derived features for AHI and SpO2, we can better understand and evaluate the condition of patients undergoing CPAP treatment. The ability to predict these key indicators accurately provides more immediate insight into the patient's sleep quality and potential disturbances. This not only ensures the efficiency of the diagnostic process but also provides more tailored and effective treatment approach. Consequently, the integration of EEG analysis into the sleep study protocol has the potential to revolutionize sleep diagnostics, offering a time-saving, and ultimately more effective evaluation for patients with sleep-related disorders.
Min Hwan Kim;Kyongkyu Lee;Hee Seup Kil;Soon Jeong Kwon;Yong Jin Lee;Kyo Chul Lee;Dae Yoon Chi
Journal of Radiopharmaceuticals and Molecular Probes
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v.9
no.1
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pp.17-21
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2023
In this study, we evaluated the targeting of prostate cancer (PCa) using [18F]Florastamin in non-clinical study, for the purpose of therapeutic monitoring of [177Lu]Ludotadipep, a therapeutic radiopharmaceutical for PCa, [18F]Florastamin/[177Lu]Ludotadipep was co-administered to a single-individual prostate tumor bearing mouse model, mimicking clinical condition. Considering the difference in half-life of the two isotopes (18F or 177Lu), image scan of whole-body autoradiography was performed at 24 or 48 h after preparation of frozen section, respectively. Then, it was confirmed whether they showed the same targeting efficiency for the area of tumor. A tumor xenograft model was prepared using PSMA-overexpressing PC3-PIP prostate cancer cells. [18F]Florastamin [111 MBq (3 mCi) in 100 µL]/177Lu]Ludotadipep [3.7 MBq (100 µCi) in 100 µL] was co-administered through the tail vein, and 2 hours after administration, the mice were frozen, and after freezing for 24 hours, whole-body cryosection was performed at 24 h after freezing. Image scanning using cryosection was performed after 24 or 48 hours after freezing, respectively. In the scan image after 24 hours, tumor uptake of [18F] Florastamin/[177Lu]Ludotadipep were simultaneously observed specific uptake in the tumor. In the scan image after 48 hours in the same section, signal of 18F was lost by decay of radioisotope, and specific uptake image for [177Lu]Ludotadipep was observed in the tumor. Uptake of [177Lu]Ludotadipep was specific to the same tumor region where [18F]Florastamin/[177Lu]Ludotadipep was uptake. These results suggested that [18F]Florastamin showed the same tumor uptake efficiency to PCa as [177Lu]Ludotadipep, and effective therapeutic monitoring is expected to be enable using [18F]Florastamin during [177Lu]Ludotadipep therapy for PCa.
Glyceraldehyde-3-phosphate dehydrogenase (GAPDH) and manganese superoxide dismutase (MnSOD) has been hypothesized as a mediator in the activation of multiple pathways implicated in the pathogenesis of diabetic disease. The objective of this study was to understand the mechanism that aerobic exercise activate GAPDH and MnSOD in pancreatic cells. To achieve the purpose of this study, thirty male Sprague-Dawley rats were assigned to control group, diabetic group and diabetic exercise group. 10 rats were forced to exercise according to exercise protocol for 8weeks and 20 rats were untrained for control and diabetic group. Pancreatic tissue were extracted from the each. Expressions of GAPDH and MnSOD in diabetic pancreatic tissues were significantly decreased compare to control group. However, swimming (trained diabetic group) significantly increased expressions of GAPDH and MnSOD compare to diabetic group, respectively. In hyperglycemia, GAPDH and MnSOD in pancreatic cells is activated by aerobic exercise, and this inactivates multiple pathways implicated in the pathogenesis of diabetic disease. In conclusion, these findings suggest that increased activity of GAPDH and MnSOD by exercise have beneficial effects on mitochondrial dysfunction and arresting the progression of diabetic disease.
Ji-eun Bae;Jae-won Park;Jun-kyu Lim;Mi-so Park;Jeong-su Hong;Dong-jin Kim
The Journal of Internal Korean Medicine
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v.43
no.6
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pp.1045-1062
/
2022
Objectives: The aim of this study was to analyze the latest clinical studies on Korean medicine treatment of idiopathic thrombocytopenic purpura (ITP) in the Chinese National Knowledge Infrastructure (CNKI) database. Methods: We searched the last 6 years of clinical studies discussing Oriental medicine-based treatments for ITP in the CNKI database. A meta-analysis of 13 RCTs was performed by synthesizing the outcomes, including the measured platelet count and total effective rate. The quality of the studies was assessed using Cochrane's risk of bias (RoB) tool. RevMan 5.4.1 software was used for data analysis. Results: Of the 15 selected studies, 1 was a non-randomized controlled trial (nRCT), 2 were case series, and 12 were randomized controlled trials (RCTs). Treatments in all studies included oral herbal medicine. The most frequently used herbal decoction was the Liangxue Jiedu prescription (凉血解毒方), and the most commonly used herb was Agrimonia pilosa (仙鶴草), Astragali Radix (黃芪), Fossilia Glycyrrhizae Radix et Rhizoma (甘草), and Rehmannia glutinosa Liboschitz ex Steudel (地黃). The meta-analysis showed significantly better improvement in platelet counts and total effective rate for ITP in the treatment group than in the control group. Conclusion: Treatment with herbal medicine was effective in treating ITP. However, the significance of this conclusion is somewhat limited due to the low quality of the available studies. Multifaceted and scientifically designed clinical studies are required to develop treatments for ITP based on Korean medicine. The results of this study could be used as basic data for further ITP studies.
Background: The existing research results on the combined toxicity of these pollutants using mammals, such as rodents, are insufficient, especially in relation to changes in the immune system. Objectives: This study aims at evaluating the cellular immune response to PE-MPs solely or when combined with Pb, which possess excellent adsorption capacity with PE-MPs and is commonly co-exposed in our daily lives. Methods: The study investigated the cellular immune function of 9-week ICR mice with 28 days exposure to PE-MPs (2 mg/mouse/day) and Pb (0.1 mM in distilled water) individually and in combination. PE-MPs were administered via gastric intubation while the lead intake was conducted via the oral drinking water route. Cellular immunity was evaluated by analyzing the production for TH1 cytokines namely, TNF-α and IFN-𝛾 and TH2 cytokines, IL-4 and IL-6 in culture supernatants from polyclonally activated splenic mononuclear cells ex vivo. Results: Both the PE-MPs only and the PE-MPs+Pb exposure group revealed an increased TH1 response with elevated TNF-α and IFN-𝛾 levels and downregulated TH2 response with low IL-4, and IL-6 production levels compared to the control group. Furthermore, an increased IFN-𝛾/IL-4 ratio was found in the PE-MPs only and PE-MPs+Pb exposure groups, which indicated the skewedness to TH1 response. Meanwhile, reduced blood hemoglobin levels and increased levels of IL-4, the dominant TH2 cytokine in the Pb-only exposure group, were observed. Conclusions: Our current findings on the predominance of TH1 immune response in the PE-MPs and PE-MPs+Pb groups suggest that PE-MPs could be responsible for the predominant induction of the cellular immune changes. This finding could be used as an important landmark in research related to TH1 predominance, such as autoimmune diseases. It suggests that additional research on immune modulation using longer exposure durations or the same exposure route is required to elucidate stronger findings.
The purpose of this study is to derive more practical and concrete policy implications for the successful implementation of the Cultural City Designation Project, which is emerging as a main topic of cultural policy. To this end, the background and implementation system of the European Capitals of Culture(ECOC), which is the subject of benchmarking in various aspects, were examined. As a result, it was confirmed that there is a possibility that the Cultural City Designation Project can reveal its limitations in the background and process, and the improvement is as follows. First, rather than creating an ideal cultural city model to achieve its goals in a short period of time, efforts should be made to secure diversity and expand insufficient infrastructure in accordance with local autonomous decisions. Second, in order to secure the continuity of the business, it is necessary to secure and educate professional manpower for organizational operation in the form of independent or direct agency of each local government. Finally, careful policy consideration should be made at the national level to balance regional interests. Therefore, there is a need for an organized 'government-level organization' that can take on the role of the city selection process, support system, and ex post evaluation. In short, successful cultural city projects require critical acceptance and efforts to remedy fundamental problems rather than benchmarking unconditional overseas cases in terms of cultural policy.
Bitcoin is a blockchain technology-based digital currency that has been recognized as a representative cryptocurrency and a financial investment asset. Due to its highly volatile nature, Bitcoin has gained a lot of attention from investors and the public. Based on this popularity, numerous studies have been conducted on price and trend prediction using machine learning and deep learning. This study employed LSTM (Long Short Term Memory) and CNN (Convolutional Neural Networks), which have shown potential for predictive performance in the finance domain, to enhance the classification accuracy in Bitcoin price trend prediction. XAI(eXplainable Artificial Intelligence) techniques were applied to the predictive model to enhance its explainability and interpretability by providing a comprehensive explanation of the model. In the empirical experiment, CNN was applied to technical indicators and Google trend data to build a Bitcoin price trend prediction model, and the CNN model using both technical indicators and Google trend data clearly outperformed the other models using neural networks, SVM, and LSTM. Then SHAP(Shapley Additive exPlanations) was applied to the predictive model to obtain explanations about the output values. Important prediction drivers in input variables were extracted through global interpretation, and the interpretation of the predictive model's decision process for each instance was suggested through local interpretation. The results show that our proposed research framework demonstrates both improved classification accuracy and explainability by using CNN, Google trend data, and SHAP.
Journal of Korean Tunnelling and Underground Space Association
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v.12
no.1
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pp.43-49
/
2010
The escape connecting gallery in a tunnel on a road is one of emergency equipment to ensure safety for passer in the tunnel against the tunnel fire. Government stipulate over 500m tunnel has the cross passage at intervals of less then 250 m. However, this lump estimated interval is generated the concerns of exaggeration and under construction because peculiarity of the tunnel ex. The velocity of the tunnel airflow, an incline, degree of a fire, and innering area are not considered. The study indicate the way to estimate of the cross passage considered an incline and the velocity of the tunnel airflow for efficient application of cross passage on the tunnel design. As a result, in 0.0 m/s and 1.0 m/s of the velocity of the tunnel airflow case, the movement of smoke is influenced by the incline however, in 20 m/s case, it isn't influenced by incline much. According to the velocity of tunnel airflow and the incline, optimum interval of cross passage is not corresponded. Therefore established lump estimate that has 250 m intervals would be changed to estimate of optimum interval of cross passage that considered about the properties of tunnel, the velocity of the tunnel airflow, incline, degree of a fire and innering area of the tunnel.
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