神經原性的 的英文怎麼說

中文拼音 [shénjīngyuánxìngde]
神經原性的 英文
neurogenic
  • 神 : Ⅰ名詞1 （神靈） god; deity; divinity 2 （精神; 精力） spirit; mind 3 （神氣; 神情） expression; l...
  • 經 : 經動詞[紡織] （把紡好的紗或線梳整成經紗或經線） warp
  • 原 : Ⅰ形容詞1 （最初的; 原來的） primary; original; former 2 （沒有加工的） unprocessed; raw Ⅱ動詞（原...
  • 性 : Ⅰ名詞1 （性格） nature; character; disposition 2 （性能; 性質） property; quality 3 （性別） sex ...
  • 的 : 4次方是 The fourth power of 2 is direction
  1. Caused a elevation of lactate dihydrogenase

    對原代培養的神經細胞的毒性作用及
  2. Effect of functional magnetic stimulation on the treatment of neurogenic bladder

    功能性磁刺激治療神經原性膀胱的療效追蹤
  3. Since 1980s he has been studying the mechanism of normalization of abnormal blood pressure and the resetting of baroreceptor reflex by acupuncture and somatic nerve stimulation, effects of brain osmoreceptor stimulation on sympathetic nerve discharge and renal activity, the role of vasopressin in body fluid and salt homeostasis, difference in gene expression between hypertensive and normotensive rats, hypertension and cardiac ischemia - induced myocardial remodeling, effect of steroids on the nervous system, etc. with his research achievements, dr. yao was awarded science and technology progress prize sponsored by the state education commission grade a award in 1986, grade b award in 1995 and by the ministry of health grade b award in 1989 and 1993, grade a award of guang - hua science and technology prize 1995, and chinese universities science and technology prize grade b award in 2000

    近二十年來，他主要從事針刺和刺激軀體神經對心血管和腎臟活動的調整作用刺激腦內滲透壓感受器引起的交感神經放電和腎臟活動的改變血管升壓素在心血管活動調節和水鹽平衡中的作用原發性高血壓的相關基因高血壓和心肌梗死引起的心肌重構甾體激素對神經系統的影響等。他的科研成果曾獲得國家教委科技進步獎一等獎一項1986年二等獎一項1995年衛生部醫藥衛生科技進步獎二等獎二項1989 1993年光華科技基金獎一等獎一項1995年中國高校科學技術獎二等獎一項2000年。
  4. In this paper, we studied the deterministic mechanism of isi with the unstable period orbit ( upo ) ; we tested many isi data from different model with the method of approximate entropy ( apen ) to study the method which is used in testing the degree of complicacy of isi and we built up a system including hardware and software for our lab to view and record action potential, firing frequency and isi in real time. results 1. spontaneous firing patterns were observed from neurons of supraoptic nucleus ( son ) in hypothalamus with the method of patch clamp

    本研究通過對大鼠視上核神經元自發放電的非穩定周期軌道的計算，討論了isi的確定性問題；利用近似熵的方法對多種神經放電的isi資料進行了復雜度的測量，討論了這種方法在isi的復雜度測量第四軍醫大學碩士論文中的應用；另外，還開發出一套記錄原始放電和isi的程序，解決了採集isi的問題。
  5. On the basis of analysing multilayer forward artificial neural networks which based on back propagation algorithms and basic principles of the adaptive noise cancellation system, this paper sets up an adaptive noise cancellation controller based on artificial neural network, which is proved to be more efficient in the noise cancellation and has robust performance based on simulink of matlab at the end, this paper proposes some advices of model and algorithms

    在對基於誤差反向傳播學習演算法的多層前向人工神經網路進行分析基礎上，結合傳統自適應噪聲抵消系統基本原理，建立了基於人工神經網路的自適應噪聲抵消器，經基於matlab的simulink模擬實例證明，具有很強的噪聲濾除能力和魯棒性。最後並提出了網路及演算法進一步改進的方法。
  6. After studying the prediction method and considering the complex, random and nonlinear factors that affect the demand load of heating, the ann technology is adopted. different from the general analysis in technology and economy, it is for the first time to combine the prediction in method of artificial neutral network with optimization in use of dynamic planning principle for the running analysis of the electric boiler

    考慮到影響供熱採暖需求負荷的因素復雜且具有隨機性和非線形性，在對預測理論進行研究和對各種預測方法進行比較后，本文首次將基於人工神經網路的負荷預測與基於動態規劃原理的優化方法相結合，用於蓄熱式電鍋爐系統的經濟運行策略研究。
  7. The principle and the way of quality control of woolen top using artificial neural network were discussed. the possibility was discussed that the conventional mechanic carding machine was modified with a computer automatic controlling system based on the artificial neural network. compared with the general automatic controlling system, computer automatic controlling system based on the artificial neural network was put forward to the experiment

    探討了利用人工神經網路進行粗梳毛紡毛條質量控制的原理及方法，探討了用基於人工神經網路的計算機自動控制系統改造傳統機械式梳毛機的可能性，通過比較基於人工神經網路的計算機自動控制系統與一般自動控制系統提出了基於人工神經網路的計算機自動控制系統，經對實測數據驗算，控制精度十分理想。
  8. In this paper, the author applied bp algorithm in this subsystem, and a model of crack detection of glass bottle is described. this model enables the detection system to enhance the capabilities of auto - learning and auto - adapting greatly by overcoming the weakness of the worse adaptability of adapting the change of the environment and the worse tolerance to mistakes of the new information

    本論文將bp演算法應用於該子系統中，建立了基於bp神經網路的「玻璃瓶口裂紋檢測模型」 ，克服了原演算法對環境變化適應的靈活性和對新信息的容錯性較差的弱點，從而使該檢測系統的自學習、自適應能力大大增強了。
  9. Integrity of the nervous system. general alignment of the spine and its related structures

    神經反射的能力及神經組織的功能原整性
  10. Mortimer mishkin of the national institute of mental health has proposed different neural circuits for memory, including a higher - level corticolimbic circuit for what is generally referred to as semantic or cognitive memory, and a lower - level corticostriatal circuit for the more primitive habit memory that is most often referred to as procedural memory

    美國國家精神衛生研究院的密許金，提出記憶具有不同神經通路的說法，包括較高層次的皮質邊緣通路，負責一般稱為語意或認知方面的記憶，以及較低層次的皮質紋狀體通路，負責比較原始、習慣性的記憶，也稱為程序記憶。
  11. Unfortunately, the pharmaceutical industry has so far been unable to successfully develop selective inhibitors for such channels, in part because they closely resemble ttx - sensitive sodium channels, which appear widely throughout the nervous system

    不幸的是，至今制藥界仍未成功研發出這種通道的選擇性抑制劑；部份原因是它與廣泛分佈於神經系統的ttx敏感型鈉通道十分近似。
  12. Unsatisfactory result was seen in 10 % cases because of poor local skin condition. conclusions neu r omatic stump pain results from lack of nerve continuity and formation of neuroma

    結論神經瘤性殘端痛的原因，是殘端神經失去了正常的連續性，形成神經瘤而引起的。
  13. Methods since 1986, after resection of stump neuroma in 182 cases, nerve continuity was reconstru cted by means of venous bridge ( 77 cases ) ， nerve grafting ( 73 cases ) and anastomosis of nerve stumps ( 32 cases ), t o prevent neuroma formation

    方法1986年起，在切除殘端神經瘤后，採用靜脈橋接法（ 77例） 、神經原位移植法（ 73例） 、兩神經殘端直接縫合法（ 32例）等重新建立神經連續性的方法，治療上臂殘端及手指殘端神經瘤性殘端痛182例。
  14. Because of the strong adaptability of csa, in this paper, based on csa, building blocks models constructing approach, mechanism of antibody ' s recognizing ball and fuzzy neural networks, a model identification approach for complex systems with uncertainty was presented. simulations are conducted

    本文採用克隆選擇演算法，結合抗體的模塊化構成方式、抗體識別球原理，以及模糊神經網路，針對具有不確定性的復雜系統，提出了一種基於模糊神經網路的免疫在線模型辨識方法，並進行了模擬驗證。
  15. Compared with csm, two examples proved that ann could be trained successfully, even if the available data were insufficient and irregular, while csm showed the limit in selecting model type and non - linear optimization

    兩個實例的應用結果表明:人工神經網路通過神經原作用函數的簡單復合就能逼近有限子集的任意非線性函數，而傳統的統計方法則存在著如何選擇模型形式及非線性優化問題，表現出明顯的局限性，並且統計模型的更新工作相當繁重。
  16. 2 weber ma, byyny rl, pratt jh, et al. blood pressure effects of the angiotensin ii receptor blocker, losartan. west j med, 1998, 168 : 272

    5孫寧玲，洪婷婷，王鴻懿，等.原發性高血壓交感神經活性的變化及纈沙坦對其活性的影響.中國循環雜志， 2001 ， 16 : 331 - 333
  17. Drugs that depress sympathetic nervous activity frequently reduce bp in patients with primary hypertension

    抑制交感神經活性的藥物可以降低原發性高血壓病人的血壓。
  18. Firstly, we introduce the basic theory and methods for realization of sofm. subsequently we improve the arithmetic and implement the feature extraction of raw data using k - l translation, select the eigenvector. combining c - avarage and isodata arithmetic, classify the eigenvector, according to the methods of this dissertation, in lower layer, set nerve cell and unite or delete nerve cells in middle layer, to improve the anti - huise - and robust

    論文首先介紹了sofm的基本原理和實現方法，接著在其基礎上對具體演算法進行改進，用k - l變換對原始數據進行特徵提取，選取出特徵變量，結合c -均值和isodata演算法對特徵變量進行預分類，按照本文中介紹的方法在底層預置神經元，在中間層對神經原進行合併和刪除，加強了該網路的抗干擾性和穩定性。
  19. In alzheimer ' s disease brain cells degenerate, brain mass shrinks and characteristic neurofibrillary tangles and neural plaques are seen post mortem

    而在早老性癡呆癥患者死亡后檢驗發現有腦細胞退化、腦組織縮小、典型的神經原纖維糾結及神經斑塊等現象。
  20. In this thesis, the author just discusses horn clause sets, and gives how to transform horn clause set into neural network. go a step further, the author discusses how to get the learning algorithm of neural network that is equivalence with resolution principle, and proves completeness theorem and soundness theorem of the algorithm for resolution

    本文將所討論的子句集限制在horn子句集上，給出了horn子句集轉化為一個神經網路模型的方法，進j一步，對如何構造該神經網路的學習演算法來體現歸結過程進行了討論，並證明了此學習演算法用於歸結原理的可靠性和完備性。
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