• Proceedings of the Korean Nuclear Society Conference
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• 1998.10a
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• pp.92-92
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• 1998

• Journal of Pharmacopuncture
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• v.4 no.2
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• pp.105-112
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• 2001

In Oriental Medicine, mononeuropathy belongs to or . Common peroneal neuropathy(CPN) is the most frequently encountered mononeuropathy in the lower extremity. It is usually caused by direct surgery injury, compression, leg crossing, trauma, traction etc, occasionally by nerve tumor. A 47-year-old healthy man was complained of the sudden development of left foot drop and sensory manifestation owing to suspected compression and habitual leg-crossing. Acupuncture along with bee-venom acupuncture, moxibustion was performed mainly at Stomach and Gallbladder Meridian specially ST36, ST37, ST40, GB34 and GB39. Nerve conduction study and electromyography was also performed three times. Symtoms was relieved fast, and full recovery took about 110 days. Acupuncture and bee-venom acupuncture are considered to be beneficial to CPN. More clinical trials and studies are needed.

• Journal of Hospice and Palliative Care
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• v.23 no.1
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• pp.5-10
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• 2020

Purpose: The aim of this study was to investigate celiac plexus neurolysis (CPN) for the treatment of cancerous upper abdominal pain in a tertiary university hospital in Korea. Methods: At the tertiary university hospital in Korea, electronic medical records of cancer patients who underwent CPN and died in the hospital from November 2009 to June 2018 were retrospectively analyzed. Results: The total number of subjects was 51. The 17 patients were from the Department of Gastroenterology (33.0%), followed by 11 patients from the Department of Hemato-oncology (21.6%), 11 patients from the Department of Anesthesia and Pain Medicine (21.6%), 9 patients from the Department of General Surgery (17.6%). The diagnosis was pancreatic cancer in 15 patients (29.4%), stomach cancer in 8 patients (15.7%), hepatobiliary cancer in 20 patients (39.2%), colon cancer in 1 patient (2.0%), esophageal cancer in 2 patient (3.9%) and intra-abdominal metastasis in 5 patients (9.8%). The mean survival time after the surgery was 66.4±55.0 days. The pain intensity before and 1 week after the procedure significantly decreased, but the amounts of opioids consumed before and 1 week after the procedure were not statistically significant. Side effects occurred after the procedure including temporary localized pain in 24 patients (47.0%), hypotension in 12 (23.5%), and diarrhea in 6 (11.8%). Conclusion: CPN is an effective and safe procedure for reducing upper abdominal pain caused by cancer, and it is necessary to perform CPN within the appropriate time by establishing a system of interdepartmental cooperation.

• Korean Journal of Microbiology
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• v.38 no.3
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• pp.162-167
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• 2002

To analyse proteins and gene related to antifungal activity, SAR01 strain was isolated from a brown seaweed and identified as Streptomyces sp. by FAME(fatty acid methyl ester) analysis. Antifungal activity deficient mutant(SAR535) of Streptomyces sp. SAR01 was induced by gamma radiation$({60}^Co)$. It was found that 6 specific protein spots appeared only in SAR01 by 2-D electrophoresis analysis. Among them, a protein of 10 kDa had homology of 96% with 10 kD chaperonin cpn 10 (GroES) by Basic Local Alignment Search Tool(BLAST, NCBI) analysis. SAR535 transformants into which groES was transferred by electroporation revealed antifungal activity newly similar with SAR01 It suggested that groES be supposed to be related to the antifungal activity of Streptomyces sp. SAR01.

• Journal of Veterinary Clinics
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• v.39 no.5
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• pp.253-257
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• 2022

A 5-year-old castrated male Golden Retriever dog weighing 15 kg presented with evidence of intestinal intussusception. The patient had cachexia and severe dehydration before being referred to our department. Ultrasound imaging revealed a target sign indicative of intestinal intussusception. Emergency surgery was performed shortly after diagnosis. After a successful surgery, the patient was hospitalised for postoperative care. Initial treatment was aimed at the reversion of dehydration and the provision of adequate nutrition. Fluid therapy and central parenteral nutrition were administered via the peripheral and central venous catheters, respectively. Ten days postoperatively, swelling and edema were observed in the head and neck. Ultrasound and computed tomography confirmed complete blockage of the cranial vena cava due to thrombosis, which consequently obstructed both the left and right jugular veins. For treatment, dalteparin and tissue plasminogen activator were administered. However, the patient lost all of its vital function on the daybreak of postoperative day 11. Venous thrombus formation secondary to central parenteral nutrition application via the central line is a rare but possible complication. Veterinarians who are concerned about taking care of patients receiving CPN through the central line should keep the possibility of venous thrombus formation in mind.

• Proceedings of the Korea Information Processing Society Conference
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• 2011.11a
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• pp.227-230
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• 2011

본 논문에서는 유한한 자원인 네트워크를 보다 많은 이용자가 원활하게 사용하기 위해 고안된 전송 부하 분산 알고리즘인 Round Robin, Weighted Round Robin과 전송 부하 분산 알고리즘이 존재 하지 않는 네트워크를 Petri-net 이론을 기반으로 한 시뮬레이터(CPN-Tools)를 통해 실험 결과를 비교 분석하여 알고리즘의 필요성과 전송 부하 분산 알고리즘의 특징과 장단점을 실험을 통하여 보였다.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.61 no.2
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• pp.312-320
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• 2012

In this study, we introduce a new design methodology of a granular-oriented self-organizing polynomial neural networks (GoSOPNNs) that is based on multi-layer perceptron with Context-based Polynomial Neurons (CPNs) or Polynomial Neurons (PNs). In contrast to the typical architectures encountered in polynomial neural networks (PNN), our main objective is to develop a methodological design strategy of GoSOPNNs as follows : (a) The 1st layer of the proposed network consists of Context-based Polynomial Neuron (CPN). In here, CPN is fully reflective of the structure encountered in numeric data which are granulated with the aid of Context-based Fuzzy C-Means (C-FCM) clustering method. The context-based clustering supporting the design of information granules is completed in the space of the input data while the build of the clusters is guided by a collection of some predefined fuzzy sets (so-called contexts) defined in the output space. (b) The proposed design procedure being applied at each layer of GoSOPNN leads to the selection of preferred nodes of the network (CPNs or PNs) whose local characteristics (such as the number of contexts, the number of clusters, a collection of the specific subset of input variables, and the order of the polynomial) can be easily adjusted. These options contribute to the flexibility as well as simplicity and compactness of the resulting architecture of the network. For the evaluation of performance of the proposed GoSOPNN network, we describe a detailed characteristic of the proposed model using a well-known learning machine data(Automobile Miles Per Gallon Data, Boston Housing Data, Medical Image System Data).

• Journal of Physiology & Pathology in Korean Medicine
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• v.27 no.5
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• pp.672-676
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• 2013

The purpose of this study is to report that a patient suffered from Common Peroneal Neuropathy (CPN) caused by ankle sprain was improved by acupuncture plus electro-acupuncture. In this study, the patient was diagnosed with magnetic resonance image(MRI) and electomyography(EMG). We treated at acupoints ST36, ST41, SP9, GB34, GB39 and LR3 by acupuncture plus electro-acupuncture twice a day for 16 days; a total of 30 times. We used evaluation scale including muscle manual testing(MMT) and visual analogue scale (VAS). MMT changed from Grade 0 to Grade 5 and VAS changed from 10 to 2 after treatment for 16days with hospitalization. Though it is a case report, these results suggest that acupuncture and electrical acupuncture might have valid effect on CPN in controlled environment.

• Journal of Korean Neurosurgical Society
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• v.66 no.3
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• pp.324-331
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• 2023

Objective : We aimed to analyze the effectiveness of external neurolysis on the common peroneal nerve (CPN) in patients with posture-induced compressive peroneal neuropathy (PICPNe). Further, we aimed to examine the utility of magnetic resonance imaging (MRI) in assessing the severity of denervation status and predicting the postoperative prognosis. Methods : We included 13 patients (eight males and five females) with foot drop who underwent CPN decompression between 2018 and 2020. We designed a grading system for assessing the postoperative functional outcome. Additionally, we performed MRI to evaluate the denervation status of the affected musculature and its effect on postoperative recovery. Results : The median time to surgery was 3 months. The median preoperative ankle dorsiflexion and eversion grades were both 3, while the average functional grade was 1. Posterior crural intermuscular septum was the most common cause of nerve compression, followed by deep tendinous fascia and anterior crural intermuscular septum. There was a significant postoperative improvement in the median postoperative ankle dorsiflexion and eversion grades and average postoperative functional (4, 5, and 2.38, respectively). Preoperative ankle eversion was significantly correlated with denervation status. Additionally, the devernation status on MRI was positively correlated with the outcome favorability. However, denervation atrophy led to a less favorable outcome. Conclusion : Among patients with intractable PICPNe despite conservative management, surgical intervention could clinically improve motor function and functional ability. Additionally, MRI examination of the affected muscle could help diagnose CPNe and assess the postoperative prognosis.

• Proceedings of the KOSOMBE Conference
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• v.1994 no.12
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• pp.165-168
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• 1994

We proposed a new model of neural network, called Time Delay Counter-Propagation Neural network (TDCPN). This model is combined properly by the merits of Time Delay Neural Network (TDNN) structure and those of Counter - Propagation Neural network (CPN) learning rule, so that increase recognition rate but decrease total teaming time. And we use this model to simulate classification of EMG signals, and compare the recognition rate and teaming time with those of another neural network model. As a result of simulation, the proposed model is proved to be very effective.