神經性無力 的英文怎麼說
中文拼音 [shénjīngxìngwúlì]
神經性無力
英文
nervous debility- 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
- 性 : Ⅰ名詞1 (性格) nature; character; disposition 2 (性能; 性質) property; quality 3 (性別) sex ...
- 無 : 無Ⅰ動詞(沒有) not have; there is not; be without Ⅱ名詞1 (沒有) nothing; nil 2 (姓氏) a surn...
- 力 : Ⅰ名1 (力量; 能力) power; strength; ability; capacity 2 [物理學] (改變物體運動狀態的作用) forc...
- 神經性 : nerve; nervous神經性毒氣[劑] nerve gas; 神經性耳聾 nerve deafness; 神經性耳鳴 nervous tinnitus; ...
- 神經 : nerve; nervus
- 無力 : 1 (沒有氣力) lack strength; feel weak 2 (沒有力量) unable; incapable; powerless 3 [醫學] acra...
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Several studies have also shown that hypnotizability is unrelated to personality characteristics such as gullibility, hysteria, psychopathology, trust, aggressiveness, submissiveness, imagination or social compliance
有些研究已經顯示,催眠與人格特質無關,例如輕信、歇斯底里、精神病理狀況、信任、攻擊性、順服性、想像力以及社會服從性格等。The 11 - hsd1 expression in the fetal brain also gradually increases with gestational age at late gestation and continues to increase in the hippocampus after birth until the 15th postnatal day, which shows a pattern very similar to th secretion. furthermore, previous data show injection of thyroxine ( t4 ) to normal newborn rats up - regulates gr expression in the hippocampus. these data suggest that the role of th in neural development may be partially ( if not all ) accomplished through regulating gc ' s activity
在海馬結構, 11 - hsd1與gr共存於同一海馬神經元內,主要呈現還原酶的特性,能使無活性的11 -脫氫皮質酮( a )可的松( e )轉化為有活性的皮質酮( b )皮質醇( f ) ,從而提高組織局部的糖皮質激素濃度,這樣, 11 - hsd1的存在就為親和力較低的gr發揮作用提供了前提條件。Focused on " understanding media ", the article analyses in chapter i the key media theory of employing what could be of mcluhan in a thoughtful angle , and advances the viewpoint of " human being - the extending of media ? ". in chapter ii 、 in the following third part , the idea of " media ' s endding " is expounded and demonstrated , which is composed of three parts : extreme of speed , content of the content , and human being ' s last extending - the extending of central nerves 。 in the final part , the general conclusion ? ? electronic media ' s influence on human behavior is given , that is human are under universal narcissism and pacing to the bottom of it impelled by electronic speed. the article has five original points in it : first of all, in virtue of " content theory " , it analyzes the theory of " meida equals to information " by mcluhan from a scale theory stand. secondly, the tremendous power of electronic media is emphasized from an implosion view. in the third point, the article advanced originally that, after extension of central nerve system, human themsevels reverse to an extension of media and turns into a node of it ; at the same time, the article proposes that, all extensions before that of central nerve are " controllable extension ", however, it reverses to " uncontrollable extension " while extending ; then the authur put forward for the first time that, the concernful reason obsessing human is the failure of their in - body central nerve system " s jointing and controlling on out - body central nerve system naturally. 。 the fourth point is, the article demonstrates systematically the idea of " media ' s endding " from three levels solely by thoughtful means, and this is the most revolutionary point of it all
論文的創新之處有五點:一是從「尺度論」的角度,藉助「內容論」來解讀麥克盧漢的「媒介即訊息」的思想;二是從「內爆」的角度突出電子媒介的巨大力量;三是獨創提出在電子媒介時代,人類延伸了自己的中樞神經系統之後,人類本身被逆轉為媒介的延伸,成為電子媒介的一個節點;同時在本章節中提出中樞神經延伸之前的所有延伸為「可控延伸」 ,而中樞神經被延伸時「可控延伸」逆轉為「不可控延伸」 ,並首次提出,困擾人類種種問題的重要原因是體內的中樞神經系統無法無縫地對接和控制被延伸出去的體外中樞神經系統;四是獨自運用思辯的力量從三個層面綜合論證了「媒介的終結」的觀點,此處論證為本文最大創新之處,而此結論也將具有重大的理論與現實意義;五是根據以上幾個部分的論述,對人類目前的總體狀態作了一個定性的判斷,即:我們這個時代的迷惘在於我們深陷於自戀的漩渦里難以自拔,在電子媒介以其固有的電力速度的推動下,我們走向自戀的盡頭。1, q 3, and at last prove the exisitence of ( q, m + n, n, m ) resilient functions when n > q ? 1. intelligentized ids methods, which can make the system more adaptability and self - studying, are important research directions of ids so far. in order to make the ids systems have better identifying ability and efficiency against new intrusions, we propose the intrusion feature extra - ction algorithm based on ikpca by studying the different kinds of intrusion detection feature extraction algorithm based on unsupervised learning, and then theoretically analysis the conver - gence of the algorithm. in addition, we validate the validity of the algorithm by means of experim - ents ; at the same time, through studying ica and neural networks, we propose fastica - nn ids, and then test the kddcup99 10 % date set to make comparison of kpca 、 ikpca and fastica algorithms in intrusion detection advantages and disadvantages
為了使入侵檢測系統對新的入侵行為有更好的識別能力和識別效率,本文在研究了各種基於無監督學習的入侵檢測特徵提取方法的基礎上,提出了基於增量核主成份分析( ikpca )的入侵檢測特徵提取方法,並對該方法進行了收斂性分析,同時結合模擬試驗對其正確性進行了驗證;另外,本文通過研究獨立成份分析和神經網路,提出了基於快速獨立成份分析和神經網路的入侵檢測方法( fastica - nnids ) ,並通過對kddcup99的10 %數據集的檢測比較了核主成份分析( kpca ) 、增量核主成份分析( ikpca )和快速獨立成份分析( fastica )在入侵檢測特徵提取方面的優缺點。Aiming at the study actuality of fan performance monitoring system and analysis of fan performance curve changes affected by inlet - box and the different fixed - angles of guide blades in the course of installation, a fan flow monitoring model based on rbfnn in whole flow zone was established in this thesis. in the model, the method of no throttle and fan performance curve were used as basis. and on the basis of that model, fan performance curves of 4 - 73no. 8d were approached with experimental data of different speed, different opening - angles of guide blade and different resistance of pipeline, the precision and the error law of model were studied
本文針對電站風機性能監測系統研究較少的現狀,在實驗的基礎上分析了現場加裝進氣箱和由於安裝造成的導流器葉片開度不一致對風機性能曲線的影響,並在此基礎上採用無節流方法測量流量,以風機調節性能曲線為依據,建立了基於徑向基函數( rbf )神經網路的風機流量全程監測模型;以實驗室4 - 73no . 8d離心風機為研究對象,探討了rbf神經網路差壓模型在變轉速、變導流器開度和變管網阻力等工況下的應用精度和誤差分佈規律;最後用visualc + +語言開發了風機性能在線監測系統。Three months later, he developed optic neuritis with subacute painless vision loss in both eyes
三個月後,他發展為視神經炎,雙眼視力亞急性,無痛性下降。Acquired mg is an autoimmune disease in which the body immune system mistakenly attacks and destroys special proteins ( acetylcholine receptors ) located on the muscle surface where the nerve attaches to the muscle
犬重肌無力癥屬於一種自身免疫性疾病,疾病的發病機理為狗體內免疫系統攻擊並毀滅相關的特殊蛋白,這類作為乙酰膽堿受體的蛋白質主要位於肌肉表面與神經結合處Point to above problems, under the financial support of the national natural science foundation ( exploration of high tech and new concept and new conceive ), the excellent young teachers program of ministry of education and national excellent doctoral dissertation special foundation, the static and dynamic real - time computation of elasticity - plastic mechanics, solving method of fuzzy finite element and other problems were studied in this paper. and some achievement was gained as following : ( 1 ) based on the positive definiteness of system stiffness matrix of finite element that was modified and the form of potential energy function of elastic body, the linear system of saturation mode ( lssm ) was introduced into the neural computation of finite element, by which the no - error solving of finite element neural net computation was realized in theory
針對上述問題,在國家自然科學基金(高技術新概念新構思探索) 、教育部優秀青年教師資助計劃、高等學校全國100篇優秀博士學位論文作者專項基金等的資助下,本文對彈塑性力學問題的動靜態的實時計算、模糊有限元的求解方法等問題進行了系統和深入的研究,取得了以下成果: ( 1 )根據有限元總剛矩陣經修正後具有正定性的特點以及彈性體勢能函數的具體形式,將飽和模式的線性系統(簡稱為lssm系統)引入到有限元的神經網路計算中,在理論上實現了有限元神經網路計算的無誤差求解。The aim of psychotherapy, then, was to trace neurotic symptoms back to their unconscious roots and expose these roots to mature, rational judgment, thereby depriving them of their compulsive power
因此心理療法的目的,就是希望從神經性的癥狀追溯出無意識源頭,讓這些源頭接受成熟理性的批判,藉此消弭其強迫性力量。Fatigue is a widespread symptom in numerous neuroimmunological diseases like multiple sclerosis ( ms ), myasthenia gravis, morbus behcet, neurosarcoidosis, neuroborreliosis or immune vasculitis. this phenomenon is best investigated in ms
疲勞是為數眾多的神經免疫疾病如多發性硬化( ms ) 、重癥肌無力、貝切特病、神經肉瘤病、神經包柔螺旋體病或免疫性血管炎中的常見癥狀。There are lots of non - linear systems in the nature. because classical and morden control methods have common limitation : mathematical model of the plant has to be known in advance. but in fact many plants are intricate uncentaintied and time - varying. in addition, they also are non - linear. though there are methods of system identification in control theories, the identification theories and ways of non - linear and time - varying system are not mature and systematic. it is very difficult to carry out effective real - time control. the neural networks can approximate random non - linear relations and study by itself, and it provides new thoughts and new ways for solving these problems
由於經典和現代控制方法存在一個共同的局限性:就是要求預先知道被控對象的數學模型,但實際上許多對象具有復雜的不確定性和時變性;此外還具有復雜的非線性。雖然在控制理論中有系統辨識的手段,但是對于非線性時變系統尚無成熟的和系統的辨識理論與方法,要實行有效的實時控制就很難了。人工神經元網路有表示任意非線性關系和自學習等能力,給解決這些問題提供了新思想和新方法。Fuzzy system lacks self - study ability and its membership functions and fuzzy rule are chosen by experts subjectivity, and input / output relation obtained by neural network can not be expressed in acceptable way and exists the quality of absoluteness, all of which make diagnosis result not live up to the fact
模糊系統缺乏自學習能力,隸屬度函數和模糊規則的選取帶有一定的主觀性且依賴于專家;神經網路所獲得的輸入輸出關系無法用容易被人接受的方式表示出來,存在非此即彼的絕對性,使診斷結果與實際情況不符。The paper forms the three information measures into measure vector as the input of cmac - cerebellar model articulation controller neural network and proposes a method of edge detection based on information measures and cmac. the edge contours generated by this method is very legible. the method has a high runtime performance and improves the resistance to noise
本文將圖像的三個信息測度作為分量組成邊緣特徵的測度向量,作為小腦模型神經元網路? cmac的輸入,提出一種基於信息測度和cmac網路的邊緣檢測方法,用該法得到的邊緣輪廓清晰,實時性好,並且抗噪能力有明顯提高:將上述邊緣檢測方法應用於無人值守變電站,提出一種瓷瓶裂紋故障監控方案。The patient was a 71 year old man who developed muscle wasting and weakness and had electromyographic evidence of motor neuron disease
患者是71歲男性,漸發肌肉萎縮和無力,肌電圖描記的證據顯示為運動神經元病。Acoustic excitation signal is processed with wavelet analysis in this paper, and chooses characters related to adhesive capacity from acoustic signal in the time domain and frequency domain. these characters is the input of nerve network which is used to non - mangle test about mechanics capacity of adhesive structure, and establish the base for classify distinguishing effectively and forecast
本文採用小波變換的方法對採集到的聲激勵信號進行分析,在時-頻域提取出與粘接性能有關的特徵量,用於粘接結構力學性能無損檢測的神經網路輸入,從而為有效進行分類判別和預報奠定了基礎。By the second method, neural network breakout prediction model are becoming popular and replacing previous logical decision ones in the world. this is due to the drawbacks of the logical decision breakout prediction, such as lack of robustness and error tolerability. in contrast to that, neural network has good self - learning ability, robustness, and can constantly increase the system performance with the increase of running time
在第二條途徑上,用神經網路漏鋼預報系統替代早期的邏輯判斷預報系統在國際上已成為一種趨勢,這是因為邏輯判斷系統存在自身無法克服的缺點,如容錯性差,缺乏魯棒性等,而神經元網路具有較好的自適應性能力、魯棒性和容錯能力,並隨著使用時間的延長,不斷提高系統的性能。In order to establish the non - destructive detecting standard, transverse wave speed is chose as the non - destructive detecting parameter, which strongly correlated with the compressive strength basing on lots of room experiments, and finds the relation between transverse wave speed of cement - soil and its contributory factors. the forecast model of the non - destructive detecting parameter is established by neutral - network toolbox of the matlab. by this model, transverse wave speed and compressive strength are got by putting the soil style, cement - soil ratio, water - cement ratio, maintain condition and the time
由於水泥土的力學性能通常用抗壓強度來衡量,因此,我們通過大量的水泥土室內試驗建立了剪切波速與抗壓強度以及影響因素之間的對應關系,並利用matlab神經網路工具箱建立了防滲墻施工質量無損檢測指標的預測模型,即通過輸入土類、灰土比、水灰比、養護條件及齡期獲得相應的剪切波速和抗壓強度。Prediction model of ductility of unbonded partially prestressed concrete beam with high strength based on genetic algorithm and neural network
神經網路的無粘結部分預應力高強混凝土梁延性預測模型The main work and conclusions in this paper are as follow : ( 1 ) because the conservative series in promoter field of eukaryote ' s gene display false positive, it can not be found the relations and correlative feature among series using old physical and chemical methods
主要的工作和結論如下: ( 1 )由於真核生物基因啟動子區域的保守序列具有一定的假陽性,利用傳統的基於物理化學原理的方法無法把序列間的關系和相關特徵表現出來,神經網路這一具有自學習、自適應能力的系統可以很好的解決此弊病。Nerve network have the ability to automatic orgnanization and automatic studying, and can adapt to find the rule, which is concealed in the sample data. the studying ability of the nerve network is different form the traditional pattern recognition, the latter depend on the knowledge about the ruler of the recognition, while it is not necessary to know the knowledge about the ruler of recognition for the nerve network, which can get the relation of samples from the data. the main job of this paper is about how to apply nerve network to the real time recognition
神經網路具有自組織和自學習能力,能夠在學習過程中,自適應地發現蘊涵在樣本數據中的內在的特性及規律性,這一自學習的能力與傳統模式識別中所採用的方法不相同,後者往往依賴于編程者對識別規則的先驗知識,而神經網路對所要處理的對象在樣本空間的分佈狀態無需作任何假設,而是直接從數據中學習樣本之間的關系,因而它們還可以解決那些因為不知道樣本分佈而無法解決的識別問題。分享友人