• Title/Summary/Keyword: Neuro-2A

Search Result 493, Processing Time 0.027 seconds

Animal Naming Performance in Korean Elderly: Effects of age, education, and gender, and Typicality

  • Kim, Jung-Wan;Kim, Hyang-Hee
    • International Journal of Contents
    • /
    • v.8 no.3
    • /
    • pp.26-33
    • /
    • 2012
  • The animal naming test (ANT) is known to be influenced not only by age, gender, and education but only by ethnicity, culture, and language. Thus, population-specific norm considering these variables needs to be developed for Korean-speaking elderly. We evaluated 185 healthy elderly people with five measures. Education was the single statistically independent correlate of the total number of words ($R^2$ = .312, p = .038). After adjusting for education, there was slightly significant negative correlation (r = -.215, p = .049) between age and total number of words. Mean number of words produced was $13.71{\pm}3.09$. The production frequency was negatively correlated with the typicality rating (r = -0.41, p < .05). The concrete and exact scoring rule could be set up in the comparison of naming performance between a normal and patient with neuro-linguistic disorder and its data could be utilized in a differential diagnosis for patients with neurological disorders.

Adaptive Neuro-fuzzy-based modeling of exhaust emissions from dual-fuel engine using biodiesel and producer gas

  • Prabhakar Sharma;Avdhesh Kr Sharma
    • Advances in Energy Research
    • /
    • v.8 no.3
    • /
    • pp.175-184
    • /
    • 2022
  • The dual-fuel technology, which uses gaseous fuel as the main fuel and liquid as the pilot fuel, is an appealing technology for reducing the exhaust emissions. The current study proposes emission models based on ANFIS for a dual-fuel using producer gas (PG)-diesel engine. Emissions measurements were taken at different engine load levels and fuel injection timings. The proposed model predictions were examined using statistical methods. With R2 values in the range of 0.9903 to 0.9951, the established ANFIS model was found to be consistently robust in predicting emission characteristics. The mean absolute percentage deviate in range 1.9 to 4.6%, and mean squared error varies in range 0.0018 to 13.9%. The evaluation of the ANFIS model developed shows a reliable claim of intrinsic sensitivity, strength, and outstanding generalization. The presented meta-model can be used to simulate the engine's operation in order to create an efficient control tool.

Building a Model to Estimate Pedestrians' Critical Lags on Crosswalks (횡단보도에서의 보행자의 임계간격추정 모형 구축)

  • Kim, Kyung Whan;Kim, Daehyon;Lee, Ik Su;Lee, Deok Whan
    • KSCE Journal of Civil and Environmental Engineering Research
    • /
    • v.29 no.1D
    • /
    • pp.33-40
    • /
    • 2009
  • The critical lag of crosswalk pedestrians is an important parameter in analyzing traffic operation at unsignalized crosswalks, however there is few research in this field in Korea. The purpose of this study is to develop a model to estimate the critical lag. Among the elements which influence the critical lag, the age of pedestrians and the length of crosswalks, which have fuzzy characteristics, and the each lag which is rejected or accepted are collected on crosswalks of which lengths range from 3.5 m to 10.5 m. The values of the critical lag range from 2.56 sec. to 5.56 sec. The age and the length are divided to the 3 fuzzy variables each, and the critical lag of each case is estimated according to Raff's technique, so a total of 9 fuzzy rules are established. Based on the rules, an ANFIS (Adaptive Neuro-Fuzzy Inference System) model to estimate the critical lag is built. The predictability of the model is evaluated comparing the observed with the estimated critical lags by the model. Statistics of $R^2$, MAE, MSE are 0.96, 0.097, 0.015 respectively. Therefore, the model is evaluated to explain the result well. During this study, it is found that the critical lag increases rapidly over the pedestrian's age of 40 years.

Comparison of brain wave values in emotional analysis using video (영상을 이용한 감정분석에서의 뇌파 수치 비교)

  • Jae-Hyun Jo;Sang-Sik Lee;Jee-Hun Jang;Jin-Hyoung Jeong
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
    • /
    • v.16 no.6
    • /
    • pp.519-525
    • /
    • 2023
  • The human brain constantly emits electrical impulses, which is called brain waves, and brain waves can be defined as the electrical activity of the brain generated by the flow of ions generated by the biochemical interaction of brain cells. There is a study that emotion is one of the factors that can cause stress. Brain waves are the most used in the study of emotions. This paper is a study on whether emotions affect stress, and showed two images of fear and joy to four experimenters and divided them into three stages before, during, and after watching. As a measurement tool, brain waves at the positions of Fp1 and Fp2 were measured using the NeuroBrain System, a system that can automate brain wave measurement, analysis, brain wave reinforcement, and suppression training with remote control. After obtaining the brain wave data for each emotion, the average value was calculated and the study was conducted. As for the frequency related to stress, the values of Alpha and SMR, Low Beta, and High Beta were analyzed. Brainwave analysis affects stress depending on the emotional state, and "fear" emotions cause anxiety by raising Beta levels, resulting in higher Mind Stress levels, while "joy" emotions lower Beta levels, resulting in a significant drop in Mind Stress.

Subjective Symptoms of Fatigue in Postpartum Women (분만 후 산모가 자각하는 피로)

  • Kim, Shin-Jeong;Jeong, Geum-Hee;Kim, Tae-Hee
    • Women's Health Nursing
    • /
    • v.6 no.3
    • /
    • pp.427-438
    • /
    • 2000
  • The purpose of this study was to collect basic data the health care of postpartum women. Three hundred seventy five women who were 3 days postpartum were enrolled at two university hospitals. Data were collected from April 1999 to November, 1999 using a questionnaire titled 'Symptom Table on Fatigue Perception' designed by the Fatigue Research Committee of Japan. The collected data were scored by the use of mean and standard deviation according to the subjective symptoms of fatigue and each item was analyzed independent variable by the t-test and the ANOVA test. The results were as follows: 1. The average fatigue score of subjects was 1.61. Physical fatigue had the highest value with a mean of 1.82, followed by neuro-sensory fatigue with a mean score of 1.54, psychological fatigue was rated lowest with a mean of 1.45. 2. With the respect to the general characteristics of subjects, there were statistically significant differences in difficulty of labor (t=2.335. p=.020), sleeping time (t=2.340. p=.020) and desirability of pregnancy (t=2.409. p=.018).

  • PDF

A Missense Variant (R239Q) in CCN3 Induces Aberrant Apoptosis in the Developing Mouse Brain

  • Kim, Hyunduk;Yang, Hayoung;Woo, Dong Kyun;Jang, Sung-Wuk;Shim, Sungbo
    • Biomedical Science Letters
    • /
    • v.24 no.2
    • /
    • pp.64-75
    • /
    • 2018
  • CCN3 (also known as NOV, Nephroblastoma overexpressed) proteins are involved in various pathologies during different developmental stages. We have previously shown that intracellular levels and normal extracellular secretion of CCN3 are important for neuronal differentiation. Furthermore, we demonstrated that a single amino acid in the CCN3 TSP-1 domain is important for extracellular secretion and that palmitoylation of CCN3 is required in this process. However, the effect of abnormal CCN3 accumulation on cells remains to be studied. Here, we found mutations in the TSP-1 domain of CCN3 that led to intracellular accumulation and abnormal aggregation of CCN3. It was observed that this mutation resulted in a phenomenon similar to neurodegeneration when overexpressed in the developing mouse cortex. This mutation also confirmed the activation of apoptotic gene expression in Neuro2a cells. In addition, we confirmed the in vivo transcriptional changes induced by this mutation using microarray analysis. We observed a significant increase in the expression of Anp32a, an apoptosis-related gene. Collectively, these results indicate that a single mutation in CCN3 can lead to abnormal cell death if it shows intracellular accumulation and abnormal aggregation.

Involvement of $\alpha_2$-Receptor in Extremely Low Frequency Magnetic Field-induced Hyperalgesia in Mice (극저주파 자기장으로 유도한 생쥐의 통각과민에 $\alpha_2$-수용체의 관련성)

  • 정지훈;박해자;김정수;송현주;손의동
    • YAKHAK HOEJI
    • /
    • v.48 no.5
    • /
    • pp.285-290
    • /
    • 2004
  • The purpose of this study is to prove how magnetic field (MF) acts on sympathetic neuro-transmissions using thermal response. Mice were divided into two groups and each one was exposed to MF (20 G, 24 hrs) or sham. Every vehicle or drugs were treated a half hour before the thermal response test. The pain threshold was lowered by MF (20 G, 24 hrs) alone. This reduction of pain threshold by MF was not blocked by a single treatment of $\alpha$-receptor antagonist (prazosin), $\alpha$$_2$-receptor agonist (clonidine, guanabenz), $\beta$$_1$-receptor antagonist (atenolol) or $\beta$$_1$,$\beta$$_2$-receptor antagonist (propranolol). But administration of $\alpha$$_2$-receptor antagonist (yohimbine) completely inhibited the decrease in pain threshold by MF. Moreover, it increased by high dose of yohimbine over normal condition. These results suggest that MF acts on sympathetic nerve terminal to induce hyperalgesia, in which pre-synaptic az receptor might be involved.

Living Experiences of Indian Adult Cancer Survivors - a Brief Report

  • Mohanti, Bidhu Kalyan;Kaur, Jaspreet
    • Asian Pacific Journal of Cancer Prevention
    • /
    • v.16 no.2
    • /
    • pp.507-512
    • /
    • 2015
  • Background: This pilot study looked into the physical, social, psychological and economic issues of Indian adult cancer survivors. Materials and Methods: Assumed cancer free patients, after cancer directed therapy (CDT), were assessed on the basis of a questionnaire developed by the investigators. The mental status of the survivors was elicited by modified MINI international neuro-psychiatric interview. This cross sectional assessment was conducted as a direct interaction with each patient for 30 to 45 minutes at a cancer hospital in 2012. Results: Thirty one adult cancer survivors participated in this study. Median age was 53 years with a median follow up duration of 21.8 months (Range 2.3-194.1 months). The majority (68%) did not receive financial support for treatment. Median interval after CDT to start of activity of daily living was 1.5 months (range: 0-24 months). Fatigue and loss of appetite were reported by 52% and 29% respectively. The cancer diagnosis and its treatment adversely impacted the financial condition in 42% of patients. Nineteen percent each showed social anxiety and post-traumatic stress disorder and another 13% patients reported depression. Conclusions: This prospective assessment highlights survivorship issues and the need to address those issues particularly in the context of developing countries where resources and manpower are limited.

Anti-inflammatory Effects of Metformin on Neuro-inflammation and NLRP3 Inflammasome Activation in BV-2 Microglial Cells

  • Ha, Ji-Sun;Yeom, Yun-Seon;Jang, Ju-Hun;Kim, Yong-Hee;Im, Ji In;Kim, In Sik;Yang, Seung-Ju
    • Biomedical Science Letters
    • /
    • v.25 no.1
    • /
    • pp.92-98
    • /
    • 2019
  • Metformin is a drug used for the treatment of diabetes and is associated with anti-inflammatory reaction, but the underlying mechanism is unclear. In this study, we investigated the effect of metformin on the inflammatory response in BV-2 microglial cells induced by lipopolysaccharide (LPS) and S100 calcium-binding protein A8 (S100A8). The results revealed that metformin significantly attenuated several inflammatory responses in BV-2 microglial cells, including the secretion of pro-inflammatory cytokines, such as tumor necrosis factor-${\alpha}$ and interleukin (IL)-6, involved in the activation of Beclin-1, a crucial regulator of autophagy. In addition, metformin inhibited the LPS-induced phosphorylation of ERK. Metformin also suppressed the activation of NOD-like receptor pyrin domain containing 3 inflammasomes composed of NLRP3, caspase-1, and apoptosis-associated speck like protein containing a caspase recruitment domain, which are involved in the innate immune response. Notably, metformin decreased the secretion of S100A8-induced IL-6 production. These findings suggest that metformin alleviates the neuroinflammatory response via autophagy activation.

Fuzzy Control of Smart Base Isolation System using Genetic Algorithm (유전자알고리즘을 이용한 스마트 면진시스템의 퍼지제어)

  • Kim, Hyun-Su;Roschke, P.N.
    • Journal of the Earthquake Engineering Society of Korea
    • /
    • v.9 no.2 s.42
    • /
    • pp.37-46
    • /
    • 2005
  • To date, many viable smart base isolation systems have been proposed and investigated. In this study, a novel friction pendulum system (FPS) and an MR damper are employed as the isolator and supplemental damping device, respectively, of the smart base isolation system. A fuzzy logic controller (FLC) is used to modulate the MR damper because the FLC has an inherent robustness and ability to handle non linearities and uncertainties. A genetic algorithm (GA) is used for optimization of the FLC. The main purpose of employing a GA is to determine appropriate fuzzy control rules as well to adjust parameters of the membership functions. To this end, a GA with a local improvement mechanism is applied. This method is efficient in improving local portions of chromosomes. Neuro fuzzy models are used to represent dynamic behavior of the MR damper and FPS. Effectiveness of the proposed method for optimal design of the FLC is judged based on computed responses to several historical earthquakes. It has been shown that the proposed method can find optimal fuzzy rules and the GA optimized FLC outperforms not only a passive control strategy but also a human designed FLC and a conventional semi active control algorithm.