• Title/Summary/Keyword: Long-Term Memory Effect

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Hippocampus-dependent cognitive enhancement induced by systemic gintonin administration

  • Kim, Sungmin;Kim, Min-Soo;Park, Kwanghoon;Kim, Hyeon-Joong;Jung, Seok-Won;Nah, Seung-Yeol;Han, Jung-Soo;Chung, ChiHye
    • Journal of Ginseng Research
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    • v.40 no.1
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    • pp.55-61
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    • 2016
  • Background: A number of neurological and neurodegenerative diseases share impaired cognition as a common symptom. Therefore, the development of clinically applicable therapies to enhance cognition has yielded significant interest. Previously, we have shown that activation of lysophosphatidic acid receptors (LPARs) via gintonin application potentiates synaptic transmission by the blockade of $K^+$ channels in the mature hippocampus. However, whether gintonin may exert any beneficial impact directly on cognition at the neural circuitry level and the behavioral level has not been investigated. Methods: In the current study, we took advantage of gintonin, a novel LPAR agonist, to investigate the effect of gintonin-mediated LPAR activation on cognitive performances. Hippocampus-dependent fear memory test, synaptic plasticity in the hippocampal brain slices, and quantitative analysis on synaptic plasticity-related proteins were used. Results: Daily oral administration of gintonin for 1 wk significantly improved fear memory retention in the contextual fear-conditioning test in mice.We also found that oral administration of gintonin for 1 wk increased the expression of learning and memory-related proteins such as phosphorylated cyclic adenosine monophosphate-response element binding (CREB) protein and brain-derived neurotrophic factor (BDNF). In addition, prolonged gintonin administration enhanced long-term potentiation in the hippocampus. Conclusion: Our observations suggest that the systemic gintonin administration could successfully improve contextual memory formation at the molecular and synaptic levels as well as the behavioral level. Therefore, oral administration of gintonin may serve as an effective noninvasive, nonsurgical method of enhancing cognitive functions.

Numerical Algorithm for Modifying Errors based on Mnemonic System in Mobile Environments (모바일 환경에서 기억법 기반 실수 수정 수치 알고리즘)

  • Kim, Boon-Hee
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.5
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    • pp.985-990
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    • 2019
  • In subjects dealing with when historically important events took place, the application of memory laws can enhance the educational effectiveness. Methods to increase memory rate by applying additional information such as dots, lines, bars, etc. are being studied in numerical memory-based studies. This study proposes a method of applying the long-term memory mechanism that was lacking in the previous study. This is a mechanism that corrects the error data entered by user's mistake, and tries to increase the memory rate by giving a memorable effect. To this end, we propose the unique processes that are carried out in the mobile environments and we implement and evaluate the error correction numerical algorithms.

Panaxcerol D from Panax ginseng ameliorates the memory impairment induced by cholinergic blockade or Aβ25-35 peptide in mice

  • Keontae Park;Ranhee Kim;Kyungnam Cho;Chang Hyeon Kong;Mijin Jeon;Woo Chang Kang;Seo Yun Jung;Dae Sik Jang ;Jong Hoon Ryu
    • Journal of Ginseng Research
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    • v.48 no.1
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    • pp.59-67
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    • 2024
  • Background: Alzheimer's disease (AD) has memory impairment associated with aggregation of amyloid plaques and neurofibrillary tangles in the brain. Although anti-amyloid β (Aβ) protein antibody and chemical drugs can be prescribed in the clinic, they show adverse effects or low effectiveness. Therefore, the development of a new drug is necessarily needed. We focused on the cognitive function of Panax ginseng and tried to find active ingredient(s). We isolated panaxcerol D, a kind of glycosyl glyceride, from the non-saponin fraction of P. ginseng extract. Methods: We explored effects of acute or sub-chronic administration of panaxcerol D on cognitive function in scopolamine- or Aβ25-35 peptide-treated mice measured by several behavioral tests. After behavioral tests, we tried to unveil the underlying mechanism of panaxcerol D on its cognitive function by Western blotting. Results: We found that pananxcerol D reversed short-term, long-term and object recognition memory impairments. The decreased extracellular signal-regulated kinases (ERK) or Ca2+/calmodulin-dependent protein kinase II (CaMKII) in scopolamine-treated mice was normalized by acute administration of panaxcerol D. Glial fibrillary acidic protein (GFAP), caspase 3, NF-kB p65, synaptophysin and brainderived neurotrophic factor (BDNF) expression levels in Aβ25-35 peptide-treated mice were modulated by sub-chronic administration of panaxcerol D. Conclusion: Pananxcerol D could improve memory impairments caused by cholinergic blockade or Aβ accumulation through increased phosphorylation level of ERK or its anti-inflammatory effect. Thus, panaxcerol D as one of non-saponin compounds could be used as an active ingredient of P. ginseng for improving cognitive function.

Machine Learning Based Failure Prognostics of Aluminum Electrolytic Capacitors (머신러닝을 이용한 알루미늄 전해 커패시터 고장예지)

  • Park, Jeong-Hyun;Seok, Jong-Hoon;Cheon, Kang-Min;Hur, Jang-Wook
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.11
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    • pp.94-101
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    • 2020
  • In the age of industry 4.0, artificial intelligence is being widely used to realize machinery condition monitoring. Due to their excellent performance and the ability to handle large volumes of data, machine learning techniques have been applied to realize the fault diagnosis of different equipment. In this study, we performed the failure mode effect analysis (FMEA) of an aluminum electrolytic capacitor by using deep learning and big data. Several tests were performed to identify the main failure mode of the aluminum electrolytic capacitor, and it was noted that the capacitance reduced significantly over time due to overheating. To reflect the capacitance degradation behavior over time, we employed the Vanilla long short-term memory (LSTM) neural network architecture. The LSTM neural network has been demonstrated to achieve excellent long-term predictions. The prediction results and metrics of the LSTM and Vanilla LSTM models were examined and compared. The Vanilla LSTM outperformed the conventional LSTM in terms of the computational resources and time required to predict the capacitance degradation.

Low-salt Todarodes pacificus Jeotgal improves the Learning and Memory Impairments in Scopolamine-induced Dementia Rats (Scopolamine으로 유발한 치매유도 쥐에 대한 저염 오징어 (Todorodes pacificus) 젓갈의 인지 및 기억손상의 개선효과)

  • Heo, Jin-Sun;Kim, Jong-Bok;Cho, Soon-Young;Sohn, Kie-Ho;Choi, Jong-Won
    • Korean Journal of Fisheries and Aquatic Sciences
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    • v.47 no.3
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    • pp.195-203
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    • 2014
  • We investigated the effect low salt (2 or 4% salt) concentrations jeotgal made from Todarodes pacificus on the learning and memory impairments in scopolamine-induced (2 mg/kg, i.p.) dementia rats. Rats treated with oral BF-7 (200 mg/kg, p.o.) as a positive control and Todarodes pacificus jeotgal had significantly reduced scopolamine-induced memory deficits in the passive avoidance test. The Morris water maze test or treatment with 2% salt jeotgal made from Todarodes pacificus significantly ameliorated the scopolamine-induced memory deficits in the formation of long- and short-term memory. The acetylcholine content and acetylcholinesterase acitivity paralleled the results of the behavior experiment. There were no significant differences in the brain acetylcholine contents of the experimental groups, while the brain acetylcholine content of the group treated with 2% salt Todarodes pacificus jeotgal was higher than that of the control group. The inhibitory effect of 2% salt jeotgal made from Todarodes pacificus on the acetylcholinesterase activity in the brain was lower than that of the control group. These trends were similar to those of the gamma-aminobutyric acid content. We suggest that Todarodes pacificus jeotgal enhances learning memory and cognitive function by regulating cholinergic enzymes.

Prediction of Distillation Column Temperature Using Machine Learning and Data Preprocessing (머신 러닝과 데이터 전처리를 활용한 증류탑 온도 예측)

  • Lee, Yechan;Choi, Yeongryeol;Cho, Hyungtae;Kim, Junghwan
    • Korean Chemical Engineering Research
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    • v.59 no.2
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    • pp.191-199
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    • 2021
  • A distillation column, which is a main facility of the chemical process, separates the desired product from a mixture by using the difference of boiling points. The distillation process requires the optimization and the prediction of operation because it consumes much energy. The target process of this study is difficult to operate efficiently because the composition of feed flow is not steady according to the supplier. To deal with this problem, we could develop a data-driven model to predict operating conditions. However, data preprocessing is essential to improve the predictive performance of the model because the raw data contains outlier and noise. In this study, after optimizing the predictive model based long-short term memory (LSTM) and Random forest (RF), we used a low-pass filter and one-class support vector machine for data preprocessing and compared predictive performance according to the method and range of the preprocessing. The performance of the predictive model and the effect of the preprocessing is compared by using R2 and RMSE. In the case of LSTM, R2 increased from 0.791 to 0.977 by 23.5%, and RMSE decreased from 0.132 to 0.029 by 78.0%. In the case of RF, R2 increased from 0.767 to 0.938 by 22.3%, and RMSE decreased from 0.140 to 0.050 by 64.3%.

A Study on Confirmation Bias in Early User Experience Stage (초기 사용자 경험 단계의 확증편향에 관한 연구)

  • Lee, Young-Ju
    • Journal of Digital Convergence
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    • v.19 no.1
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    • pp.355-360
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    • 2021
  • In this study, the factors of confirmation bias that may occur in the initial user experience stage were analyzed using a honeycomb model by deriving user experience factors for each factor. In the initial user experience stage, confirmation bias occurs in the impression stage. At the processing stage of memory, sensory memory, working memory, and long-term memory, which stores and retrieves selective memory, were closely related. Confirmation bias was classified into visibility, correlation, memory, clarity, and universality in the usability part, and satisfaction, joy, and dissatisfaction were derived as emotional factors. As a result of the analysis with the honeycomb model, visuality, clarity, universality in the usability factor, and joy in the emotional factor had little effect on the confirmation bias, and satisfaction and dissatisfaction were analyzed as the main factors of the confirmation bias in the correlation, memory and emotional factors. This study is meaningful in that it can be usefully used as a reference material for companies that customize design patterns for the factor of confirmation bias.

Prediction of the Major Factors for the Analysis of the Erosion Effect on Atomic Oxygen in LEO Satellite Using a Machine Learning Method (LSTM)

  • Kim, You Gwang;Park, Eung Sik;Kim, Byung Chun;Lee, Suk Hoon;Lee, Seo Hyun
    • Journal of Aerospace System Engineering
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    • v.14 no.2
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    • pp.50-56
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    • 2020
  • In this study, we investigated whether long short-term memory (LSTM) can be used in the future to predict F10.7 index data; the F10.7 index is a space environment factor affecting atomic oxygen erosion. Based on this, we compared the prediction performances of LSTM, the Autoregressive integrated moving average (ARIMA) model (which is a traditional statistical prediction model), and the similar pattern searching method used for long-term prediction. The LSTM model yielded superior results compared to the other techniques in the prediction period starting from the max/min points, but presented inferior results in the prediction period including the inflection points. It was found that efficient learning was not achieved, owing to the lack of currently available learning data in the prediction period including the maximum points. To overcome this, we proposed a method to increase the size of the learning samples using the sunspot data and to upgrade the LSTM model.

The Efficacy of Oriental Medicine on Memory in Menopause: A Systemic Review (폐경기 기억력에 대한 한약의 효과 : 체계적 문헌고찰)

  • Soo-Hyung Lee;Ha-Rin Kwon;In-Jeong Jo;Se-Eun Chun;Song-Baek Kim
    • The Journal of Korean Obstetrics and Gynecology
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    • v.36 no.2
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    • pp.20-35
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    • 2023
  • Objectives: The purpose of this study is to review clinical studies and investigate the efficacy and safety of oriental medicine on memory in menopausal women. Methods: 'menopause', 'memory', 'oriental medicine' were searched on 4 online databases (Cochrane Library, Pubmed, CNKI, OASIS). Randomized controlled trials (RCTs) that evaluated menopausal memory with oriental medicine treatment were included. The methodological quality of each RCT was assessed by using Cochrane risk of bias tool. Results: 8 RCTs were selected among 1067 articles. The overall risk of bias was evaluated as uncertain. 5 studies showed that oriental medicine alone was significant effective, but 1 long-term study with the same oriental medicine did not sustain the effect, and 2 studied were not statistically significant. Conclusions: Oriental medicine can be an effective option for improving memory in menopausal women. but considering the small number and quality of studies, inconsistent and insufficient evidence, further well-designed studies are needed to confirm the efficacy and safety of this treatment.

Effects of N-acetylcystein on changes in parvalbumin-positive interneurons in the hippocampus after carbon monoxide poisoning (급성 일산화탄소 중독 후 해마에서 Parvalbumin 양성 중간뉴론의 변화에 대한 N-acetylcystein의 효과)

  • Kim, Seon Tae;Yoo, Su Jin
    • Journal of The Korean Society of Clinical Toxicology
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    • v.19 no.2
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    • pp.100-109
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    • 2021
  • Purpose: The purpose of this study was to investigate effect of N-acetylcysteine (NAC) on the injury of putative parvalbumin positive interneurons defined by molecular marker and hippocampal long-term potentiation (LTP), a marker of neural plasticity following acute carbon monoxide (CO) poisoning. Methods: Adult Sprague-Dawley rats were exposed to 1100 ppm CO for 40 minutes followed by 3000 ppm CO for 20 minutes. Animals received daily intraperitoneal injection of NAC (150 mg/kg) for 5 days after CO exposure. Changes in learning and spatial memory were evaluated by Y-maze test 5 days after the poisoning. In vivo LTP in hippocampal CA1 area was evaluated by using extracellular electrophysiological technique. Immunohistochemical staining were adopted to observe expressional damages of parvalbumin (PV) immunoreactive interneurons in the hippocampus following the poisoning. Results: Acute CO intoxication resulted in no changes in memory performance at Y-maze test but a significant reduction of LTP in the in hippocampal CA1 area. There was also a significant reduction of PV (+) interneurons in the hippocampal CA1 area 5 days after CO poisoning. Daily treatment of NAC significantly improved hippocampal LTP impairment and reduced immunoreactivity for PV in the hippocampus following the acute CO poisoning. Conclusion: The results of this study suggest that reduction of hippocampal LTP and PV (+) interneurons in the hippocampus is sensitive indicator for brain injury and daily NAC injections can be the alternative therapeutics for the injury induced by acute CO poisoning.