雜種退化 的英文怎麼說

中文拼音 [zázhǒngtuìhuà]
雜種退化 英文
hybrid breakdown
  • 雜 : Ⅰ形容詞（多種多樣的; 混雜的） miscellaneous; varied; sundry; mixed Ⅱ動詞（混合在一起; 攙雜） mix; blend; mingle
  • 種 : 種名詞（姓氏） a surname
  • 退 : 動詞1 （向後移動） retreat; draw back; move back 2 （使向後移動） cause to move back; remove; wit...
  • 雜種 : [生物學] hybrid; crossbreed; intercross; [遺傳學] random breed; [動物學] half bred; 雜種不育性 hy...
  • 退化 : become vestigial; degenerate; deteriorate; retrograde; devolution; retrogradation; retrogression;...
  1. In all hassock communities, species richness was high in ruderals but was low in typical degraded hassocks

    雜類草草從具有較高的豐富皮指數，而演替到較為穩走的退化草叢物種豐富度指數呈下降趨勢。
  2. The research results mainly show : ( 1 ) the ecological degradation characteristics of wuxi county include : some soil is thin and barren and its water and fertility conservation abilities are poor, gradual degradation of soil results in decrease of vegetation diversity and the vegetation community structure gradually inclines tc simplicity from complexity. the types of soil and water loss in wuxi county mainly involve surface erosion and gully erosion. according to investigation, surface erosion area occupies 80 % or so or erosion area, in which the slope farmlands surface erosion area accounts for about 70 % of farmland erosion area

    研究結果主要包括： （ 1 ）巫溪縣生態退化特徵表現：作為生物生長基質的部分土壤薄而貧瘠，保水保肥能力差，部分地區基巖裸露，土壤的不斷退化導致植物種多樣性減少，植物種群結構逐步由復雜趨向簡單化；縣內水土流失的類型主要包括面蝕和溝蝕兩大類，據調查，面蝕面積占侵蝕總面積的80左右，其中坡耕地面蝕佔耕地侵蝕面積的70左右。
  3. Three - dimensional packing ( tdp ) is a combinatorial optimization and hp - complete problem and applied widely to the mechanical manufacture and traffic transportation industries. up to now there are varieties of heuristic algorithms to solve the tdp because of its high complication, we discuss the heuristic algorithm deeply in this paper and apply the simulated annealing ( sa ) algorithm to the packing system

    三維布局問題屬于組合最優化問題和np完全問題，具有高度復雜性，用一般的數學方法根本無法求解，目前解決三維布局問題多為各種啟發式方法，本文在對啟發式方法進行深入探討的基礎上，採用了用於解決一般三維布局問題的模擬退火演算法作為布局系統的操作演算法。
  4. In this paper, we used different doping means to prepare the mn - doped gaas material. firstly, we incorporated mn of different dose into gaas by ion implantation, including the couple - ion implantation with mn + and c, then performed rapid thermal annealing in different temperature. furthermore, we incorporated mn into gaas using different mn sources ( pure mn and mnas ) by diffusion

    本論文利用不同摻雜方法進行了摻mngaas這種dms材料樣品的制備，首先利用離子注入法對砷化鎵（ gaas ）材料進行不同劑量的錳（ mn ~ + ）離子注入，其中包括加碳（ c ）的雙離子注入，然後在不同溫度下進行快速退火處理；此外還利用擴散法對gaas晶片進行不同mn擴散源（純mn 、及mnas ）的摻雜。
  5. Afterwards, the simulation of the frequently - used search algorithms will be undertaken, for instance, three step search algorithm, four step search algorithm, new three step search algorithm, diamond search algorithm etc. after the comparison between those search algorithms in terms of accurateness of search and complexity metrics of calculation, it is shown that the diamond search algorithm has the best performance

    主要內容有:首先，從mpeg - 4視頻編碼的核心模塊運動估計入手，對常用的四種搜索演算法進行了模擬，從搜索準確度和計算復雜度兩方面給出對比結果。優化了菱形搜索演算法的搜索流程，避免了重復計算。 sad計算時採用提前退出策略，減小了計算量而沒有損失搜索準確度。
  6. The difficulty can be overcomed that the n atom is not easy to be doped into zno. if we control the annealing condition, the residual nitrogen atoms will become acceptors in zno : n films

    通過這種方法可以克服n原子不容易慘雜進氧化鋅的困難，並且可以通過控制退火過程來控制n原子< wp = 5 >的摻雜濃度。
  7. The algorithm based on energy of deformation of buildings is better than the others. e. three hysteretic combination models are deduced, each of which is respectively composed of two of three simple hysteretic models such as bilinear model, degenerating bilinear model, and bilinear elasto - plastic hysteretic model

    5 、建立了雙折線+雙線性滯回恢復力模型、雙線性+雙線性滯回恢復力模型、退化雙折線+雙線性滯回恢復力模型等三種組合恢復力模型，可以模擬較為復雜的恢復力?變形關系。
  8. The algorithm is list - based. the timing - constrained scheduling algorithm reduces the power consumption by assigning as many nodes as possible to the resources operating at reduced voltages. in the paper, we propose three kinds of scheduling algorithms with multiple voltages under timing constraints, which have separately lower time complexity, better optimizing effect and better optimizing capability as a whole

    由於多電壓調度是np - hard問題，本文還採用了一種基於模擬退火搜索的時間和資源約束的調度演算法，該演算法是一種啟發式的搜索演算法，通過與基於gain大小搜索的調度演算法的對比，數據表明兩演算法優化效果接近，但此演算法具有較低的時間復雜性。
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