• Title/Summary/Keyword: Neuro-2A

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A Survey on Fatigue Awareness Amongst Physical Therapist at Andong City in the Kyung Sang Puk Do Area (안동지역 물리치료사들의 피로자각증상여부에 대한 조사)

  • Cho, Eun-Jeong
    • Physical Therapy Korea
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    • v.7 no.1
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    • pp.79-90
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    • 2000
  • Participants of this 1998 survey included 100 physical therapists working in hospitals located in Andong City. 77.7% of the participants were in their twenties and 20.2% in their forties. 46.4% of the participants were 3rd year students at a junior college, and 1.0% were college graduates. 67.6% of the participants had less than 5 years experience and 1.0% 16 years experience in their field. 59.6% of the participants were married. Regarding questions about occupational satisfaction, many of the participants replied "normal" for the first and third questions, and few answered "very much". Most of the participants answered "normal" for all the questions concerning their work environment with few replying "very much". With regards to awareness of the physical signs of fatigue, "occasionally, yes" were the most frequent answers. Regarding awareness of the psychological signs of fatigue, the similar proportions of participants answered "occasionally, yes" as that for "feeling nothing". Similarly, with regard to awareness of the neuro-sensitive signs of fatigue, there was a similar ratio of participants answering "occasionally, yes" and "feel nothing". It can be concluded that there are many causes of fatigue amongst physical therapists. Improvements in daily nutrition, mental health and general well-being are important in tackling these problems. It appears that fatigue amongst physical therapists may be cumulative and due to prolonged working hours To promote better daily functioning and early recovery from fatigue, appropriate assignments of working and resting hours are necessary. They would also benefit the prevention of symptomatic problems in the waist and shoulder.

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Comparison and analysis of data-derived stage prediction models (자료 지향형 수위예측 모형의 비교 분석)

  • Choi, Seung-Yong;Han, Kun-Yeun;Choi, Hyun-Gu
    • Journal of Wetlands Research
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    • v.13 no.3
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    • pp.547-565
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    • 2011
  • Different types of schemes have been used in stage prediction involving conceptual and physical models. Nevertheless, none of these schemes can be considered as a single superior model. To overcome disadvantages of existing physics based rainfall-runoff models for stage predicting because of the complexity of the hydrological process, recently the data-derived models has been widely adopted for predicting flood stage. The objective of this study is to evaluate model performance for stage prediction of the Neuro-Fuzzy and regression analysis stage prediction models in these data-derived methods. The proposed models are applied to the Wangsukcheon in Han river watershed. To evaluate the performance of the proposed models, fours statistical indices were used, namely; Root mean square error(RMSE), Nash Sutcliffe efficiency coefficient(NSEC), mean absolute error(MAE), adjusted coefficient of determination($R^{*2}$). The results show that the Neuro-Fuzzy stage prediction model can carry out the river flood stage prediction more accurately than the regression analysis stage prediction model. This study can greatly contribute to the construction of a high accuracy flood information system that secure lead time in medium and small streams.

Bio-inspired self powered nervous system for civil structures

  • Shoureshi, Rahmat A.;Lim, Sun W.
    • Smart Structures and Systems
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    • v.5 no.2
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    • pp.139-152
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    • 2009
  • Globally, civil infrastructures are deteriorating at an alarming rate caused by overuse, overloading, aging, damage or failure due to natural or man-made hazards. With such a vast network of deteriorating infrastructure, there is a growing interest in continuous monitoring technologies. In order to provide a true distributed sensor and control system for civil structures, we are developing a Structural Nervous System that mimics key attributes of a human nervous system. This nervous system is made up of building blocks that are designed based on mechanoreceptors as a fundamentally new approach for the development of a structural health monitoring and diagnostic system that utilizes the recently developed piezo-fibers capable of sensing and actuation. In particular, our research has been focused on producing a sensory nervous system for civil structures by using piezo-fibers as sensory receptors, nerve fibers, neuronal pools, and spinocervical tract to the nodal and central processing units. This paper presents up to date results of our research, including the design and analysis of the structural nervous system.

Inhibition of miR-128 Abates Aβ-Mediated Cytotoxicity by Targeting PPAR-γ via NF-κB Inactivation in Primary Mouse Cortical Neurons and Neuro2a Cells

  • Geng, Lijiao;Zhang, Tao;Liu, Wei;Chen, Yong
    • Yonsei Medical Journal
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    • v.59 no.9
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    • pp.1096-1106
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    • 2018
  • Purpose: Alzheimer's disease (AD) is the sixth most common cause of death in the United States. MicroRNAs have been identified as vital players in neurodegenerative diseases, including AD. microRNA-128 (miR-128) has been shown to be dysregulated in AD. This study aimed to explore the roles and molecular mechanisms of miR-128 in AD progression. Materials and Methods: Expression patterns of miR-128 and peroxisome proliferator-activated receptor gamma ($PPAR-{\gamma}$) messenger RNA in clinical samples and cells were measured using RT-qPCR assay. $PPAR-{\gamma}$ protein levels were determined by Western blot assay. Cell viability was determined by MTT assay. Cell apoptotic rate was detected by flow cytometry via double-staining of Annexin V-FITC/PI. Caspase 3 and $NF-{\kappa}B$ activity was determined by a Caspase 3 Activity Assay Kit or $NF-{\kappa}B$ p65 Transcription Factor Assay Kit, respectively. Bioinformatics prediction and luciferase reporter assay were used to investigate interactions between miR-128 and $PPAR-{\gamma}$ 3'UTR. Results: MiR-128 expression was upregulated and $PPAR-{\gamma}$ expression was downregulated in plasma from AD patients and $amyloid-{\beta}$ $(A{\beta})-treated$ primary mouse cortical neurons (MCN) and Neuro2a (N2a) cells. Inhibition of miR-128 decreased $A{\beta}-mediated$ cytotoxicity through inactivation of $NF-{\kappa}B$ in MCN and N2a cells. Moreover, $PPAR-{\gamma}$ was a target of miR-128. $PPAR-{\gamma}$ upregulation attenuated $A{\beta}-mediated$ cytotoxicity by inactivating $NF-{\kappa}B$ in MCN and N2a cells. Furthermore, $PPAR-{\gamma}$ downregulation was able to abolish the effect of anti-miR-128 on cytotoxicity and $NF-{\kappa}B$ activity in MCN and N2a cells. Conclusion: MiR-128 inhibitor decreased $A{\beta}-mediated$ cytotoxicity by upregulating $PPAR-{\gamma}$ via inactivation of $NF-{\kappa}B$ in MCN and N2a cells, providing a new potential target in AD treatment.

Automatic Generation of Machining Parameters of Electric Discharge Wire-Cut Using 2-Step Neuro-Estimation (와이어 가공 조건 자동 생성 2 단계 신경망 추정)

  • 이건범;주상윤;왕지남
    • Journal of the Korean Society for Precision Engineering
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    • v.15 no.2
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    • pp.7-13
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    • 1998
  • This paper presents a methodology for determining machining conditions in Electric Discharge Wire-Cut. Unification of two phase neural network approach with an automatic generation of machining parameters is designed. The first phase neural network, which is 1 to M backward-mapping neural net, produces approximate machining conditions. Using approximate conditions, all possible conditions are newly created by the proposed automatic generation procedure. The second phase neural net, which is a M to 1 forward-mapping neural net, determines the best one among the generated candidates. Simulation results with ANN are given to verify that the presenting methodology could apply for determining machining parameters in Electric Discharge Wire-Cut.

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Incidence and Risk Factors for Leptomeningeal Carcinomatosis in Breast Cancer Patients with Parenchymal Brain Metastases

  • Jung, Jong-Myung;Kim, Sohee;Joo, Jungnam;Shin, Kyung Hwan;Gwak, Ho-Shin;Lee, Seung Hoon
    • Journal of Korean Neurosurgical Society
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    • v.52 no.3
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    • pp.193-199
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    • 2012
  • Objective : The objective of study is to evaluate the incidence of leptomeningeal carcinomatosis (LMC) in breast cancer patients with parenchymal brain metastases (PBM) and clinical risk factors for the development of LMC. Methods : We retrospectively analyzed 27 patients who had undergone surgical resection (SR) and 156 patients with whole brain radiation therapy (WBRT) as an initial treatment for their PBM from breast cancer in our institution and compared the difference of incidence of LMC according to clinical factors. The diagnosis of LMC was made by cerebrospinal fluid cytology and/or magnetic resonance imaging. Results : A total of 27 patients (14%) in the study population developed LMC at a median of 6.0 months (range, 1.0-50). Ten of 27 patients (37%) developed LMC after SR, whereas 17 of 156 (11%) patients who received WBRT were diagnosed with LMC after the index procedure. The incidence of LMC was significantly higher in the SR group compared with the WBRT group and the hazard ratio was 2.95 (95% confidence interval; 1.33-6.54, p<0.01). Three additional factors were identified in the multivariable analysis : the younger age group (<40 years old), the progressing systemic disease showed significantly increased incidence of LMC, whereas the adjuvant chemotherapy reduce the incidence. Conclusion : There is an increased risk of LMC after SR for PBM from breast cancer compared with WBRT. The young age (<40) and systemic burden of cancer in terms of progressing systemic disease without adjuvant chemotherapy could be additional risk factors for the development of LMC.

Pseudoprogression and Pseudoresponse in the Management of High-Grade Glioma : Optimal Decision Timing According to the Response Assessment of the Neuro-Oncology Working Group

  • Chang, Ji Hyun;Kim, Chae-Yong;Choi, Byung Se;Kim, Yu Jung;Kim, Jae Sung;Kim, In Ah
    • Journal of Korean Neurosurgical Society
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    • v.55 no.1
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    • pp.5-11
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    • 2014
  • Objective : We evaluated pseudoprogression (PsPD) following radiation therapy combined with concurrent temozolomide (TMZ), and we assessed pseudoresponse following anti-angiogenic therapy for patients with recurrent disease using the Response Assessment of the Neuro-Oncology Working Group. Methods : Patients who were pathologically confirmed as having high-grade glioma received radiotherapy with concurrent TMZ followed by adjuvant TMZ. Bevacizumab (Avastin) with CPT-11 were used as a salvage option for cases of radiologic progression. Magnetic resonance imaging (MRI) was routinely performed 1 month after concurrent radiochemotherapy (CRT) and every 3 months thereafter. For cases treated with the bevacizumab-containing regimen for progressive disease, MRI was performed every 2 months. Results : Of 55 patients, 21 (38%) showed radiologic progression within 4 weeks after CRT. Of these patients, 16 (29%) showed progression at second post-CRT MRI (etPD) and five (9%) showed improvement (PsPD). Seven of thirty-four initially non-progressed patients showed progression at the second post-CRT MRI (ltPD). No difference in survival was observed between the etPD and ltPD groups (p=0.595). Five (50%) of ten patients showed a radiological response after salvage bevacizumab therapy. Four of those patients exhibited rapid progression immediately after discontinuation of the drug (drug holiday). Conclusion : Twelve weeks following treatment could be the optimal timing to determine PsPD or true progression. MRI with gadolinium enhancement alone is not sufficient to characterize tumor response or growth. Clinical correlation with adequate follow-up duration and histopathologic validation may be helpful in discriminating PsPD from true progression.

Comparison of Outcomes at Trauma Centers versus Non-Trauma Centers for Severe Traumatic Brain Injury

  • Tae Seok, Jeong;Dae Han, Choi;Woo Kyung, Kim;KNTDB Investigators
    • Journal of Korean Neurosurgical Society
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    • v.66 no.1
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    • pp.63-71
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    • 2023
  • Objective : Traumatic brain injury (TBI) is one of the most common injuries in patients with multiple trauma, and it associates with high post-traumatic mortality and morbidity. A trauma center was established to provide optimal treatment for patients with severe trauma. This study aimed to compare the treatment outcomes of patients with severe TBI between non-trauma and trauma centers based on data from the Korean Neuro-Trauma Data Bank System (KNTDBS). Methods : From January 2018 to June 2021, 1122 patients were enrolled in the KNTDBS study. Among them, 253 patients from non-traumatic centers and 253 from trauma centers were matched using propensity score analysis. We evaluated baseline characteristics, the time required from injury to hospital arrival, surgery-related factors, neuromonitoring, and outcomes. Results : The time from injury to hospital arrival was shorter in the non-trauma centers (110.2 vs. 176.1 minutes, p=0.012). The operation time was shorter in the trauma centers (156.7 vs. 128.1 minutes, p=0.003). Neuromonitoring was performed in nine patients (3.6%) in the non-trauma centers and 67 patients (26.5%) in the trauma centers (p<0.001). Mortality rates were lower in trauma centers than in non-trauma centers (58.5% vs. 47.0%, p=0.014). The average Glasgow coma scale (GCS) at discharge was higher in the trauma centers (4.3 vs. 5.7, p=0.011). For the Glasgow outcome scale-extended (GOSE) at discharge, the favorable outcome (GOSE 5-8) was 17.4% in the non-trauma centers and 27.3% in the trauma centers (p=0.014). Conclusion : This study showed lower mortality rates, higher GCS scores at discharge, and higher rates of favorable outcomes in trauma centers than in non-trauma centers. The regional trauma medical system seems to have a positive impact in treating patients with severe TBI.

Verification of a hybrid control approach for spacecraft attitude stabilization through hardware-in-the-loop simulation

  • Kim, Sung-Woo;Park, Sang-Young
    • Bulletin of the Korean Space Science Society
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    • 2011.04a
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    • pp.32.2-32.2
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    • 2011
  • State dependent Riccati equation (SDRE) control technique has been widely used in the control society. Although it solves nonlinear optimal control problems, which minimizes state error and control efforts simultaneously, it has drawbacks when it is to be applied to the real time systems in that it requires much computational efforts. So the real time system whose computational ability is limited (for example, satellites) cannot afford to use SDRE controller. To solve this problem, a hybrid controller which is based on MSDRE (Modified SDRE) and ANFIS (Adaptive Neuro-Fuzzy Inference System) has been proposed by Abdelrahman et al. (2010). We propose a hybrid controller based on SDRE and ANFIS, and apply the hybrid controller to the hardware attitude simulator to perform a HIL (Hardware-In-the-Loop) simulation. Through HIL simulation, it is demonstrated that the hybrid controller satisfies the control requirement and the computation load is reduced significantly. In addition, the effects of statistical properties of the ANFIS training data to the performance of the ANFIS controller have been analyzed.

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Crosstalk Signaling between IFN-γ and TGF-β in Microglia Restores the Defective β-amyloid Clearance Pathway in Aging Mice with Alzheimer's Disease

  • Choi, Go-Eun
    • Biomedical Science Letters
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    • v.24 no.4
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    • pp.305-310
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    • 2018
  • Microglia are emerging as critical regulators of innate immune responses in AD and other neurodegenerative disorders, highlighting the importance of understanding their molecular and cellular mechanisms. We attempted to determine the role of crosstalk signaling between $IFN-{\gamma}$ and $TGF-{\beta}$ in $A{\beta}$ clearance by microglia cells. We used in vitro and in vivo mouse models that recapitulated acute and chronic aspects of microglial responses to $A{\beta}$ peptides. We showed that crosstalk signaling between $TGF-{\beta}$ and Smad2 was an important mediator of neuro-inflammation. These findings suggest that microglial $TGF-{\beta}$ activity enhances the pathological progression to AD. As $TGF-{\beta}$ displays broad regulatory effects on beneficial microglial functions, the activation of inflammatory crosstalk signaling between $TGF-{\beta}$ and Smad2 may be a promising strategy to restore microglial functions, halt the progression of $A{\beta}$-driven pathology, and prevent AD development.