Kim, Yunna;Eom, Yoon Ji;Kwon, Dohyung;Lee, Jae Hyok;Jung, In Chul;Cho, Eun;Lee, Ji Eun;Cho, Seung-Hun
Journal of Oriental Neuropsychiatry
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v.32
no.2
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pp.81-93
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2021
Objectives: Mild cognitive impairment (MCI) is condition of cognitive decline shown in transition from normal aging to dementia. Hominis placenta pharmacopuncture (HPP) is a treatment that combines effects of medication and acupuncture by injecting Hominis placenta into acupoints. The objective of this study was to evaluate the efficacy and safety of HPP for MCI. Methods: This was a randomized, double-blind, placebo-controlled, two-center clinical trial. Eligible patients were randomly allocated to either the HPP group or the placebo group. HPP or saline as placebo was administered to participants for eight weeks. Changes in symptoms were observed. The primary outcome was difference in mean change of Korean Version of the Montreal Cognitive Assessment (MoCA-K) score between the HPP group and the placebo group. Cognitive function, overall status of mood and sleep, and quality of life (QoL) were also assessed. Safety assessment and economic analysis were then conducted. Results: Thirty participants were enrolled. One participant in the placebo group dropped out. The score of MoCA-K increased after treatment. Its mean change was smaller in the HPP group than in the control group. HPP ameliorated Global Deterioration Scale and Korean Dementia Rating Scale subtests for attention, organization, and memory compared to the placebo. However, none of them was significantly different between the two groups. Mood, sleep, and QoL all improved more in the HPP group than in the placebo group, although differences between the two groups were not statistically significant. There was no adverse event probably related to the drug. HPP treatment needed KRW 345,000 more than the placebo group in improving Geriatric Quality of Life scale-Dementia score by one point for one year. Conclusions: Although HPP treatment did not significantly improve cognition, it changed behavioral and psychological symptoms in MCI.
Humans have been breeding the mulberry silkworm for the long period of time to obtain silk fabric and nutrient-rich pupae. Currently, silkworm larvae, pupae, and silk-Fibroin hydrolysates are registered as food raw materials, while silkworm feces and Bombyx batryticatus are registered as Korean traditional medicines. Among sericulture products, individually recognized health functional food ingredients include silk-protein acid-hydrolysates for immunity enhancement, Fibroin-hydrolysates for memory improvement, and freeze-dried 5th instar and 3rd-day-silkworm powder for lowering-blood sugar. Recently, HongJam produced by steaming and freeze-drying mature silkworms were reported to have various health-promoting effects such as preventing the onset of Alzheimer's disease and Parkinson's disease, enhancing gastro-intestinal functions, improving skin-whitening and hair growth, and extending healthspan. By consuming silkworm products with various health-promoting effects, it is possible to increase the healthspan of human beings, thereby reducing personal and national medical expenses, resulting in increasing the individual's happiness.
Recently, with the development of artificial intelligence (AI) and deep learning, the importance of conversational artificial intelligence chatbots is being highlighted. In addition, chatbot research is being conducted in various fields. To build a chatbot, it is developed using an open source platform or a commercial platform for ease of development. These chatbot platforms mainly use RNN and application algorithms. The RNN algorithm has the advantages of fast learning speed, ease of monitoring and verification, and good inference performance. In this paper, a method for improving the inference performance of RNNs and applied algorithms was studied. The proposed method used the word group expansion learning technique of key words for each sentence when RNN and applied algorithm were applied. As a result of this study, the RNN, GRU, and LSTM three algorithms with a cyclic structure achieved a minimum of 0.37% and a maximum of 1.25% inference performance improvement. The research results obtained through this study can accelerate the adoption of artificial intelligence chatbots in related industries. In addition, it can contribute to utilizing various RNN application algorithms. In future research, it will be necessary to study the effect of various activation functions on the performance improvement of artificial neural network algorithms.
This study focuses on the process of internalizing the perception of negative discrimination among elderly people who have experienced age discrimination. The grounded theory method was used to identify the age discrimination experienced by the elderly in their daily lives and to explore the consequences of such discrimination through self-ageism. According to the analysis results, the elderly respond not only to explicit discrimination but also to implicit discrimination. In this process, the stronger the pain of old age (poverty, disease, ignorance, and solitude) and the stronger the memory of failing to respond to discrimination, the higher the level of self-ageism. "Self-ageism" has internalized the negative image of the elderly, who have been discriminated against by age, resulting in disadvantages in terms of quality of life through various reject/separate/suspension actions in reality. In the presence of supportive resources such as health, institutional support, and caregivers, the elderly have room to overcome self-ageism through more active ways. However elderly people who cannot motivate themselves and they lack these resources, elderly are trapped in negative reflux caused by self-ageism and sustained a depressed and shrinking life. In this state, it is not easy to motivate themselves and make physical, cognitive, emotional and social responses. Therefore, in this analysis, we specifically noted two aspects, contextual conditions and interventional conditions, and proposed programs for synchronizing senior citizens and improving resiliency from a microscopic point of view, and argued for the need to develop systems such as supplementing welfare and health service systems related to the entire life cycle, expanding accessibility and 'age-integration' through 'Community Care', awareness improvement and anti-discrimination laws.
With the development of the virtual community, the benefits that IT technology provides to people in fields such as healthcare, industry, communication, and culture are increasing, and the quality of life is also improving. Accordingly, there are various malicious attacks targeting the developed network environment. Firewalls and intrusion detection systems exist to detect these attacks in advance, but there is a limit to detecting malicious attacks that are evolving day by day. In order to solve this problem, intrusion detection research using machine learning is being actively conducted, but false positives and false negatives are occurring due to imbalance of the learning dataset. In this paper, a Random Oversampling method is used to solve the unbalance problem of the UNSW-NB15 dataset used for network intrusion detection. And through experiments, we compared and analyzed the accuracy, precision, recall, F1-score, training and prediction time, and hardware resource consumption of the models. Based on this study using the Random Oversampling method, we develop a more efficient network intrusion detection model study using other methods and high-performance models that can solve the unbalanced data problem.
Deep learning is used as a creative tool that could overcome the limitations of existing analysis models and generate various types of results such as text, image, and music. In this paper, we propose a method necessary to preprocess audio data using the Niko's MIDI Pack sound source file as a data set and to generate music using Bi-LSTM. Based on the generated root note, the hidden layers are composed of multi-layers to create a new note suitable for the musical composition, and an attention mechanism is applied to the output gate of the decoder to apply the weight of the factors that affect the data input from the encoder. Setting variables such as loss function and optimization method are applied as parameters for improving the LSTM model. The proposed model is a multi-channel Bi-LSTM with attention that applies notes pitch generated from separating treble clef and bass clef, length of notes, rests, length of rests, and chords to improve the efficiency and prediction of MIDI deep learning process. The results of the learning generate a sound that matches the development of music scale distinct from noise, and we are aiming to contribute to generating a harmonistic stable music.
Hongrui Li;Xianyun Wang;Xiaoying Li;Xueyang Zhou;Xuan Wang;Tiantian Li;Rong Xiao;Yuandi Xi
Nutrition Research and Practice
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v.17
no.2
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pp.371-385
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2023
BACKGROUND/OBJECTIVES: Soy isoflavone (SIF) and soy lecithin (SL) have beneficial effects on many chronic diseases, including neurodegenerative diseases. Regretfully, there is little evidence to show the combined effects of these soy extractives on the impairment of cognition and abnormal cerebral blood flow (CBF). This study examined the optimal combination dose of SIF + SL to provide evidence for improving CBF and protecting cerebrovascular endothelial cells. MATERIALS/METHODS: In vivo study, SIF50 + SL40, SIF50 + SL80 and SIF50 + SL160 groups were obtained. Morris water maze, laser speckle contrast imaging (LSCI), and hematoxylin-eosin staining were used to detect learning and memory impairment, CBF, and damage to the cerebrovascular tissue in rat. The 8-hydroxy-2'-deoxyguanosine (8-OHdG) and the oxidized glutathione (GSSG) were detected. The anti-oxidative damage index of superoxide dismutase (SOD) and glutathione (GSH) in the serum of an animal model was also tested. In vitro study, an immortalized mouse brain endothelial cell line (bEND.3 cells) was used to confirm the cerebrovascular endothelial cell protection of SIF + SL. In this study, 50 µM of Gen were used, while the 25, 50, or 100 µM of SL for different incubation times were selected first. The intracellular levels of 8-OHdG, SOD, GSH, and GSSG were also detected in the cells. RESULTS: In vivo study, SIF + SL could increase the target crossing times significantly and shorten the total swimming distance of rats. The CBF in the rats of the SIF50 + SL40 group and SIF50 + SL160 group was enhanced. Pathological changes, such as attenuation of the endothelium in cerebral vessels were much less in the SIF50 + SL40 group and SIF50 + SL160 group. The 8-OHdG was reduced in the SIF50 + SL40 group. The GSSG showed a significant decrease in all SIF + SL pretreatment groups, but the GSH showed an opposite result. SOD was upregulated by SIF + SL pretreatment. Different combinations of Genistein (Gen)+SL, the secondary proof of health benefits found in vivo study, showed they have effective anti-oxidation and less side reaction on protecting cerebrovascular endothelial cell. SIF50 + SL40 in rats experiment and Gen50 + SL25 in cell test were the optimum joint doses on alleviating cognitive impairment and regulating CBF through protecting cerebrovascular tissue by its antioxidant activity. CONCLUSIONS: SIF+SL could significantly prevent cognitive defect induced by β-Amyloid through regulating CBF. This kind of effect might be attributed to its antioxidant activity on protecting cerebral vessels.
It is a known fact that the spread of multiplexes has contributed to movie industry flourish and extending public rights for enjoying movies. However, in terms of Urban Discourse, Multiplexes centered in new downtown have given rise to Doughnut Phenomena in old downtown. It is especially regrettable that the local theaters which have been symbolic cultural spaces storing the 'memory of life' of local communities are disappearing due to a recession of business zone in old downtown. Japan has long been worked in various activities spotlighting on movie/image contents as the major means of creative urban regeneration. Among them, the 'Community Cinema' has made a contribution to regional revitalization by improving movie screening environment of the local community through renewal of local theaters and further creating related culture and industry in the local area. In this study, I focus on 'Fukaya Cinema' which started from NPO(Non-Profit Organization) and reused a closed industrial facility to a movie theater in cooperation with local TMO(Town Management Organization). Fukaya Cinema, which operates in the form of a business community, plays important roles as the core cultural facility in the local community and is regarded as a significant case showing a possibility of urban regeneration using movie/image contents. I investigate the specific founding process and activities of Fukaya Cinema and intend to derive the implications from that. Through this, I aim to provide the basic urban regeneration data utilizing movie/media contents.
The Journal of Korean Institute of Next Generation Computing
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v.13
no.3
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pp.72-83
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2017
GPUs can provide high throughput with latency hiding by executing many warps in parallel. MSHR(Miss Status Holding Registers) for L1 data cache tracks cache miss requests until required data is serviced from lower level memory. In recent GPUs, excessive requests for cache resources cause underutilization problem of GPU resources due to cache resource reservation fails. In this paper, we propose a new warp scheduling technique to reduce stall cycles under MSHR resource shortage. Cache miss rates for each warp is predicted based on the observation that each warp shows similar cache miss rates for long period. The warps showing low miss rates or computation-intensive warps are given high priority to be issued when MSHR is full status. Our proposal improves GPU performance by utilizing cache resource more efficiently based on cache miss rate prediction and monitoring the MSHR entries. According to our experimental results, reservation fail cycles can be reduced by 25.7% and IPC is increased by 6.2% with the proposed scheduling technique compared to loose round robin scheduler.
Journal of Korea Entertainment Industry Association
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v.13
no.8
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pp.479-493
/
2019
The purpose of this study was to present a method of literacy education that would generate interest and enhance the effectiveness of literacy education from elderly literacy learners. For that end, the researcher interviewed and did participation observation with a total of 11 middle and old aged literacy teachers, operators, lifelong education teachers, and literacy students in North Chungcheong Province. According to the research, elderly literacy learners have a tendency to forget easily what they have learned and to learn properly through dictation, and have high level of competitive spirit, to make studying the top priority in their daily lives. Many playful activities for knowing meaning of writing, learning connected to real life, and dictating are effective in improving their memory and cognition. In addition, using familiar materials in everyday life, conducting role plays with comedies and poems in textbooks, utilizing large-picture fairytales, team-based games and activities, learning songs and instruments to play easily, performances and presentations on the stage, and field experiences in educational and cultural facilities can increase their interest and effectiveness in literacy. Several programmes such as presentations and joint events for sharing results, materials and materials costs, education and sharing of literacy skills for teachers at the school, annual operation of literacy education need to be supported to succeed literacy education in elderly learners. In conclusion, the research shows the need to increase literacy teachers' education, to use assistant teachers, to activate accreditation of literacy curriculum.
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