• Title/Summary/Keyword: transfer-learning

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Unsuspected Plasticity of Single Neurons after Connection of the Corticospinal Tract with Peripheral Nerves in Spinal Cord Lesions

  • Brunelli, Giorgio;Wild, Klaus von
    • Journal of Korean Neurosurgical Society
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    • v.46 no.1
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    • pp.1-4
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    • 2009
  • Objective: To report an unsuspected adaptive plasticity of single upper motor neurons and of primary motor cortex found after microsurgical connection of the spinal cord with peripheral nerve via grafts in paraplegics and focussed discussion of the reviewed literature. Methods: The research aimed at making paraplegics walk again, after 20 years of experimental surgery in animals. Amongst other things, animal experiments demonstrated the alteration of the motor endplates receptors from cholinergic to glutamatergic induced by connection with upper motor neurons. The same paradigm was successfully performed in paraplegic humans. The nerve grafts were put into the ventral-lateral spinal tract randomly, with out possibility of choosing the axons coming from different areas of the motor cortex. Results: The patient became able to selectively activate the re-innervated muscles she wanted without concurrent activities of other muscles connected with the same cortical areas. Conclusion: Authors believe that unlike in nerve or tendon transfers, where the whole cortical area corresponding to the transfer changes its function a phenomenon that we call "brain plasticity by areas". in our paradigm due to the direct connection of upper motor neurons with different peripheral nerves and muscles via nerve grafts motor learning occurs based on adaptive neuronal plasticity so that simultaneous contractions of other muscles are prevented. We propose to call it adaptive functional "plasticity by single neurons". We speculate that this phenomenon is due to the simultaneous activation of neurons spread in different cortical areas for a given specific movement, whilst the other neurons of the same areas connected with peripheral nerves of different muscles are not activated at the same time. Why different neurons of the same area fire at different times according to different voluntary demands remains to be discovered. We are committed to solve this enigma hereafter.

Stock Market Forecasting : Comparison between Artificial Neural Networks and Arch Models

  • Merh, Nitin
    • Journal of Information Technology Applications and Management
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    • v.19 no.1
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    • pp.1-12
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    • 2012
  • Data mining is the process of searching and analyzing large quantities of data for finding out meaningful patterns and rules. Artificial Neural Network (ANN) is one of the tools of data mining which is becoming very popular in forecasting the future values. Some of the areas where it is used are banking, medicine, retailing and fraud detection. In finance, artificial neural network is used in various disciplines including stock market forecasting. In the stock market time series, due to high volatility, it is very important to choose a model which reads volatility and forecasts the future values considering volatility as one of the major attributes for forecasting. In this paper, an attempt is made to develop two models - one using feed forward back propagation Artificial Neural Network and the other using Autoregressive Conditional Heteroskedasticity (ARCH) technique for forecasting stock market returns. Various parameters which are considered for the design of optimal ANN model development are input and output data normalization, transfer function and neuron/s at input, hidden and output layers, number of hidden layers, values with respect to momentum, learning rate and error tolerance. Simulations have been done using prices of daily close of Sensex. Stock market returns are chosen as input data and output is the forecasted return. Simulations of the Model have been done using MATLAB$^{(R)}$ 6.1.0.450 and EViews 4.1. Convergence and performance of models have been evaluated on the basis of the simulation results. Performance evaluation is done on the basis of the errors calculated between the actual and predicted values.

QSPR analysis for predicting heat of sublimation of organic compounds (유기화합물의 승화열 예측을 위한 QSPR분석)

  • Park, Yu Sun;Lee, Jong Hyuk;Park, Han Woong;Lee, Sung Kwang
    • Analytical Science and Technology
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    • v.28 no.3
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    • pp.187-195
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    • 2015
  • The heat of sublimation (HOS) is an essential parameter used to resolve environmental problems in the transfer of organic contaminants to the atmosphere and to assess the risk of toxic chemicals. The experimental measurement of the heat of sublimation is time-consuming, expensive, and complicated. In this study, quantitative structural property relationships (QSPR) were used to develop a simple and predictive model for measuring the heat of sublimation of organic compounds. The population-based forward selection method was applied to select an informative subset of descriptors of learning algorithms, such as by using multiple linear regression (MLR) and the support vector machine (SVM) method. Each individual model and consensus model was evaluated by internal validation using the bootstrap method and y-randomization. The predictions of the performance of the external test set were improved by considering their applicability to the domain. Based on the results of the MLR model, we showed that the heat of sublimation was related to dispersion, H-bond, electrostatic forces, and the dipole-dipole interaction between inter-molecules.

Electroacupuncture Analgesia Is Improved by Adenoviral Gene Transfer of Dopamine Beta-hydroxylase into the Hypothalamus of Rats

  • Kim, Soo-Jeong;Chung, Eun Sook;Lee, Jun-Ho;Lee, Chang Hoon;Kim, Sun Kwang;Lee, Hye-Jung;Bae, Hyunsu
    • The Korean Journal of Physiology and Pharmacology
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    • v.17 no.6
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    • pp.505-510
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    • 2013
  • Electroacupuncture (EA) is a modified form of acupuncture that utilizes electrical stimulation. We previously showed that EA stimulated rats were divided into responders that were sensitive to EA and non-responders that were insensitive to EA based on the tail flick latency (TFL) test. The dopamine beta-hydroxylase (DBH) gene was more abundantly expressed in the hypothalamus of responder rats than non-responder rats. To determine whether overexpression of DBH gene expression in the hypothalamus modulate EA analgesia, we constructed a DBH encoding adenovirus and which was then injected into the hypothalamus of SD rats. Microinjection of DBH or control GFP virus into the hypothalamus had no changes on the basal pain threshold measured by a TFL test without EA treatment. However, the analgesic effect of EA was significantly enhanced from seven days after microinjection of the DBH virus, but not after injection of the control GFP virus. DBH expression was significantly higher in the hypothalamus of DBH virus injected rat than control GFP virus or PBS injected rats. Moreover, expression of the DBH gene did not affect the body core temperature, body weight, motor function or learning and memory ability. Although the functional role of DBH in the hypothalamus in the analgesic effect of EA remains unclear, our findings suggest that expression of the DBH gene in the hypothalamus promotes EA analgesia without obvious side-effects.

RC Circuit Parameter Estimation for DC Electric Traction Substation Using Linear Artificial Neural Network Scheme (선형인공신경망을 이용한 직류 전철변전소의 RC 회로정수 추정)

  • Bae, Chang Han;Kim, Young Guk;Park, Chan Kyoung;Kim, Yong Ki;Han, Moon Seob
    • Journal of the Korean Society for Railway
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    • v.19 no.3
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    • pp.314-323
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    • 2016
  • Overhead line voltage of DC railway traction substations has rising or falling characteristics depending on the acceleration and regenerative braking of the subway train loads. The suppression of this irregular fluctuation of the line voltage gives rise to improved energy efficiency of both the railway substation and the trains. This paper presents parameter estimation schemes using the RC circuit model for an overhead line voltage at a 1500V DC electric railway traction substation. A linear artificial neural network with a back-propagation learning algorithm was trained using the measurement data for an overhead line voltage and four feeder currents. The least square estimation method was configured to implement batch processing of these measurement data. These estimation results have been presented and performance analysis has been achieved through raw data simulation.

The Development of Balanced Scorecards Model based on the Strategic Plan of the Rod Library, UNI (전략적 계획을 기반으로 한 BSC 모형 개발 -Rod Library 사례를 중심으로-)

  • Cho, Yoon-Hee
    • Journal of the Korean Society for information Management
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    • v.23 no.1 s.59
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    • pp.159-179
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    • 2006
  • The University of Northern iowa Rod Library has mission statement that a personalized learning environment founded on the strong liberal arts curriculum and to supporting an intellectually and culturally diverse community. The Rod Library has been developing the strategic plans by 5 years since 1987 Recently, the strategy has been faced need to measure of performance how much does make it up. This study developed the BSC model and the strategy map that analyze the strategic plan 2004-2009 of the University of Northern iowa Rod library and transfer the strategy into the four perspectives of BSC. In addition, this study presented the success performance indicators measuring the strategic goals of each perspectives and the cause-effect model driving the lead indicators of performance.

A Study for Classification of Types about Museum Exhibition Medium in View of Information Design (정보디자인의 관점에서 본 박물관 전시매체의 유형분류에 관한 연구)

  • Kim Kyung-Mi
    • Korean Institute of Interior Design Journal
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    • v.14 no.6 s.53
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    • pp.252-259
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    • 2005
  • A modern museum has been changed from a passive place for simply exhibiting arts and antique collections to an interactive place for learning and experiencing culture and information. Such a functional change of the modern museum requires not only reorganizing fundamental characteristics of the modern museum, but also reforming organization of management teams, changing attitudes of staffs and assigning new roles to staffs for accepting the new thought and approach of visitors. That is, the function of the modem museum is not limited to collect arts and antique collections. The fundamental change of the modern museum further requires using the collections as a tool or a medium to provide a cultural exchange between the visitors and the museum, and to give new experience and information to the visitors. After proposing discussion that ' how, what, who is related to the museum? ', the way of thinking the museum is changed from ' collection ' to ' communication '. The change of the modern museum improves an educational role of the museum, and makes the museum as a communicator exchanging information and experience with visitors. In the last analysis, the modern museum is not just an exhibition medium that simply transfers information of the exhibition mediums to public. The modem museum is also a communication medium in order to collect information and transfer the collected information to the visitors. That is, the modern museum should provide various exhibition and communication mediums to the visitors for exchanging information and cultural experience. Therefore, the modern museum requires additional functions processing information suitable to the present environment and level of the museum, and transferring the information to public.

The Transfer Effect of Media Image presented Graduate Reflex (졸업영상에 나타난 영상의미 전달 효과)

  • Lee, Sung-Bok;Jung, Sun-Young;Jeon, Byeong-Ho
    • Proceedings of the Korea Contents Association Conference
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    • 2006.05a
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    • pp.251-254
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    • 2006
  • The application of reflex media in education has been widely used in the aspects of teaching & learning method, humanitarian education and the culture of school lives. It has been resulted from the generality of the applicable scope within conveying the information, propagation velocity, and the efficiency of the amount of conveyable information through the reflex. To utilize this kind of efficiency of reflex media in producing new graduation culture, I intend to show students the graduate reflex including their 3years' school lives and try to find out its effect from them. And then with this result I have studied the changes of the students behavior in the graduation ceremony. As a result I can notice that the intent of graduation reflex which aims to look back into their past and keep in mind it has been reflected to students. In addition I can ascertain their friendship and love for their school have been lifted while watching the reflex with laugh and cry.

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Computer Programming Curriculum and Teaching Method in Connection with Mathematics Education System in the Elementary and Secondary Schools (초.중등학교에서 수학교육체계와 연계된 컴퓨터 프로그래밍 교육과정과 교수방법)

  • Park, Young-Mi;Yoo, Kwan-Hee
    • The Journal of the Korea Contents Association
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    • v.8 no.1
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    • pp.116-127
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    • 2008
  • In the $7^{th}$ education curriculum, computer education curriculum in the elementary and secondary schools is composited into the contents for the use of computers so that there are some limitations in teaching students the abilities for solving various problems of several areas using computers. Recently, the research has done to change the computer education curriculum for enhancing creativity and problem solving ability required by the future education. The contents of the main subject for enhancing them is of computer programming, however, there was not enough research on systematic programming education curriculum for leading to motivating learners and enhanced knowledge transfer to those learners. In this paper, we analysis the contents mathematics education curriculum with consecutive contents and in tight connection with computer education and then extract its programming related elements. Based on those, we propose a programming education curriculum with which we can teach systematically computer programing according to continual and systematic guidance in the elementary and secondary schools. And we develop a teaching model and learning guidance for teaching students programming methods with the computer programming education curriculum proposed in this paper.

New virtual orthodontic treatment system for indirect bonding using the stereolithographic technique

  • Son, Kyoung-Hoi;Park, Jae-Woo;Lee, Dong-Keun;Kim, Ki-Dal;Baek, Seung-Hak
    • The korean journal of orthodontics
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    • v.41 no.2
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    • pp.138-146
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    • 2011
  • The purpose of this article is to introduce a new virtual orthodontic treatment (VOT) system, which can be used to construct three-dimensional (3D) virtual models, establish a 3D virtual setup, enable the placement of the virtual brackets at the predetermined position, and fabricate the transfer jig with a customized bracket base for indirect bonding (IDB) using the stereolithographic technique. A 26-year-old woman presented with anterior openbite, crowding in the upper and lower arches, and narrow and tapered upper arch, despite having an acceptable profile and balanced facial proportion. The treatment plan was rapid palatal expansion (RPE) without extraction. After 10 days of RPE, sufficient space was obtained for decrowding. After a 10-week retention period, accurate pretreatment plaster models were obtained using silicone rubber impression. IDB was performed according to the protocol of the VOT system. Crowding of the upper and lower arches was effectively resolved, and anterior openbite was corrected to normal overbite. Superimposition of the 3D virtual setup models (3D-VSM) and post-treatment 3D virtual models showed that the latter deviated only slightly from the former. Thus, the use of the VOT system helped obtain an acceptable outcome in this case of mild crowding treated without extraction. More cases should be treated using this system, and the pre- and post-treatment virtual models should be compared to obtain feedback regarding the procedure; this will support doctors and dental laboratory technicians during the learning curve.