scale什么意思
scale是一个英语单词,意思是
n.规模; 比例(尺); 鱼鳞; 级别
vt.测量; 攀登; 刮去…的鳞片
vi.衡量; 攀登; (鳞屑)脱落; 生水垢
扩展资料
第三人称单数:? scales ? ? ??
复数: scales ? ? ??
现在分词: scaling ? ? ??
过去式: scaled ? ? ?
过去分词:scaled??
例句:
1? 、N-SING ? 大小;(尤指庞大的)规模,范围,程度?
If you refer to the scale of something, you are referring to its size or extent, especially when it is very big. ? ? ? ? ? ?
However, he underestimates the scale of the problem...
然而,他低估了问题的严重性。
2 、 N-COUNT ? 等级;级别;等级体系?
A scale is a set of levels or numbers which are used in a particular system of measuring things or are used paring things. ? ? ? ? ?
...an earthquake measuring five-point-five on the Richter scale...
里氏 5.5 级地震
3 、N-COUNT ? (根据年龄、工种等核定的工资或费用)级别,标准?
A pay scale or scale of fees is a list that shows how much someone should be paid, depending, for example, on their age or what work they do. ? ? ?
参考资料:百度百科-scale
英语:“climb up”与“climb”的区别
一、用法不同
1、climb up用法:基本意思是“攀登,向上爬”,是指步行或用手脚(也可借助工具)向上攀登,也可指日月的上升。
本身已有“向上”的含义,所以climb?up中的up有时可以省略。
2、climb用法:引申可表示在社会地位上“钻营”“向上爬”; 在非正式用语中可作“匆忙或费力地穿衣或脱衣”解,此时常与介词into连用; 也可指货币“增值”。
二、意思不同
1、climb up意思:攀登
例句:Where?to fall,?climb?up?from.?
从哪里跌倒,从哪里爬起。
2、climb意思:攀缘;爬阶梯;攀登用的时间
例句:I told her about him climbing up the drainpipe.
我把他爬排水管的事告诉了她。
三、侧重不同
1、climb up侧重点:向上爬的意思,侧重于陡峭的山壁,直立的向上爬。
2、climb侧重点:强调在平地上爬。
扩展资料:
climb的同近义词:scale
读法:英?[ske?l]??美?[skel]?
意思是:
1、n. 规模;比例;鳞;刻度;天平;数值范围
2、vi. 衡量;攀登;剥落;生水垢
3、vt. 测量;攀登;刮鳞;依比例决定
4、n. (Scale)人名;(意)斯卡莱
例句:The break-down of law and order could result in killing on a massive scale.
译文:法律和秩序的崩溃可能会导致大规模的杀戮。
谁知道完美国际的美容代码怎么弄(带图)高手进
[3Parts]
scaleUp = 104
scaleMiddle = 99
scaleDown = 108
[BlendFace]
idFaceShape1 = 23
idFaceShape2 = 23
blendFaceShape = 50
[Face]
scaleFaceH = 89
scaleFaceV = 113
idFaceTex = 5
[Faling]
idFalingSkin = 434
idFalingTex = 436
[Forehead]
offsetForeheadH = 131
offsetForeheadV = 110
offsetForeheadZ = 128
rotateForehead = 128
scaleForehead = 128
[YokeBone]
offsetYokeBoneH = 168
offsetYokeBoneV = 147
offsetYokeBoneZ = 97
rotateYokeBone = 136
scaleYokeBone = 136
[Cheek]
offsetCheekH = 142
offsetCheekV = 134
offsetCheekZ = 128
scaleCheek = 128
[Chain]
offsetChainV = 142
offsetChainZ = 128
rotateChain = 112
scaleChainH = 91
[Jaw]
offsetJawH = 136
offsetJawV = 136
offsetJawZ = 128
scaleJawSpecial = 128
scaleJawH = 128
scaleJawV = 128
[Eye]
idEyeBaseTex = 257
idEyeHighTex = 571
idEyeBallTex = 9
idEyeShape = 34
scaleEyeH = 110
scaleEyeV = 204
rotateEye = 116
offsetEyeH = 113
offsetEyeV = 100
offseteyeZ = 113
scaleEyeBall = 162
scaleEyeH2 = 110
scaleEyeV2 = 204
rotateEye2 = 116
offsetEyeH2 = 113
offsetEyeV2 = 100
offseteyeZ2 = 113
scaleEyeBall2 = 162
[Brow]
idBrowTex = 7
idBrowShape = 352
scaleBrowH = 73
scaleBrowV = 84
rotateBrow = 119
offsetBrowH = 119
offsetBrowV = 144
offsetBrowZ = 128
scaleBrowH2 = 73
scaleBrowV2 = 84
rotateBrow2 = 119
offsetBrowH2 = 119
offsetBrowV2 = 144
offsetBrowZ2 = 128
[Nose]
idNoseTex = 1
idNoseTipShape = 16
scaleNoseTipH = 88
scaleNoseTipV = 120
scaleNoseTipZ = 115
offsetNoseTipV = 147
idNoseBridgeShape = 17
scaleBridgeTipH = 114
offsetBridgeTipZ = 106
[Mouth]
idMouthUpLipLine = 89
idMouthMidLipLine = 88
idMouthDownLipLine = 93
thickUpLip = 101
thickDownLip = 100
scaleMouthH = 64
offsetMouthV = 156
offsetMOuthZ = 128
idMouthTex = 14
offsetCornerOfMouthSpecial = 136
scaleMouthH2 = 64
offsetCornerOfMouthSpecial2 = 136
[Ear]
idEarShape = 22
scaleEar = 128
offsetEarV = 128
[Hair]
idHairModel = 275
idHairTex = 311
[Moustache]
idMoustacheTex = 0
idMoustacheSkin = 0
idGoateeTex = 0
[Color]
colorHair = 15792383
colorFace = -1
colorEye = -15395307
colorBrow = -15527149
colorMouth = 16738740
colorEyeBall = -15527149
colorMoustache = -1
[Body]
bodyID = 1
colorBody = -1
headScale = 125
upScale = 110
waistScale = 100
armWidth = 110
legWidth = 110
breastScale = 100
哎,不晓得怎么上传图片?不过我发的这个代码确实好看,不信自己可以先建个小号试试!不过记得要给我分数哦!!!
求化学专业英语翻译!!!那些你自己都念不通顺的就不要了!!!谢谢!!!
Scale-up is defined here as a presentation of the principles of scaling up and scaling down mixing systems.Pilot planting, on the other hand, is a determination of specific experiments and data analysis so that the controlling factors in the process can be uncovered.By knowing the controlling factors, it is possible to use the proper scale-up technique.Natrually,if more than one factor is involved,a consideration of all scale-up parameters must be carried out. In contrast to these two concepts, data from a Demonstration Plant usually yields only one point,and does not usually contain any information as to what would happen above or below the mixing conditions actually studied.扩大的定义是在这里作为一个介绍的原则扩大和缩小的混合系统。
试验种植,另一方面,是一个具体的测定实验和数据分析,控制因素的过程中可以发现。
通过了解控制因素,它可能是使用适当的放大技术。
自然地,如果有一个以上的因素参与,考虑所有参数必须进行放大。
对比两者的概念,数据从一个示范厂通常只产生一个点,与通常不包含任何信息会发生什么的上面或下面的混合条件实际研究。
The first approach to scale-up was to use geometric similarity and dimensionless groups. There are 3 types of similarity-geometric, dynamic and kinematic. By working with dynamic similarity there are four groups of forces that are important shown in Table 21.1. There are the inertia force from the mixer and the fluid forces of viscosity, surface tension and gravity. It is impossible to keep the ratio of each the of the individual fluid forces constant in scale-up with the same liquid, which is normally a pilot plant requirement. Therefore, we must pick and choose the ones that are important.第一种方法是利用几何相似放大和无量纲组。
有3种类型的similarity-geometric,动力学和运动学。
通过与动态相似性有四个群体的力量,是重要的,见表21.1。
有惯性力从混频器和力量的流体的粘度,表面张力和重力。
这是不可能的比率保持每一个个别流体的力量不断扩大的液体,通常是一个试验工厂的要求。
因此,我们必须选择,选择那些是重要的。
There have been some outstanding examples of scale-up solutions by means of these dimensionless groups. For example, in the power consumption of mixers the ratio of the inertia force of the mixer divided by the eleration of the fluid correlates very well with the Reynolds number (which is the ratio inertia force in the mixer to wiscous forces in the fluid), In theat transfer, the correlation Nusselt as a function of the Reynolds number is another outstanding example. However, the dimensionless process group normally has a process result divided ty some kind of system conductivity or some quantity related to the ease of carrying out the process result. It is not possible to write dmensionless group around very many mixing applications. This technique has limited usefulness in everyday operation.有一些突出的例子放大的解决方案的手段,这些无量纲组。
例如,在电力消费混合器比惯性力的混频器除以加速流体的相关性很好的雷诺兹数(这是比惯性力在搅拌机wiscous部队在流体),小麦转移,相关的努塞尔作为一个功能的雷诺兹数另一个突出的例子。
然而,无量纲处理组通常有一个过程的结果分青衣某种系统电导率或一些相关的量便于执行过程的结果。
这是不可能写dmensionless群周围很多混合应用。
这种技术的作用有限,在日常操作。
Another technique is to obtain one data point at least on some particular scale for the process under consideration. Then everything else can be rationed to that data point. Table 21.2 indictes how some of the ratios involved in mixing systems change on scale-up. As can be seen, it is normally not possible with geometric similarity to maintain the ratio of all the individual mixing parameters constant in scale-up. In fact, gemotric similarity is nothing more than similarity of gemometry, and does not insure the similarity of any other fluid property in the system. It is normally necessary to get some idea of which factors are controlling so that proper scale-up estimation can be made. Some example have been cited preciously. Particularly in the case of fermentation scale-up and the case of a gas-liquid-solid reaction.另一种方法是获得一个数据点至少在某些特定规模的过程中考虑下。
然后一切可以定量数据点。
表21.2indictes如何某些比率参与混合系统变化对放大。
可以看出,它通常是不可能与几何相似的比值保持所有个人混合参数不断扩大。
事实上,几何相似,只不过是gemometry相似,并没有投保的相似的任何其他流体性质的系统。
它通常是必要的,以了解哪些因素的控制,适当的规模估计可制成。
一些例子被引用的珍贵。
特别是在案件发酵放大的情况及气-液-固反应。
有些细节可能翻译得不是很好 还有问题请追问..
这个芒果代码谁有?
头发是用钱买的。
脸形代码有。
但是头发没法弄。
下面是代码/这代码比这图好看/
[3Parts]
scaleUp = 118
scaleMiddle = 107
scaleDown = 95
[BlendFace]
idFaceShape1 = 62
idFaceShape2 = 62
blendFaceShape = 50
[Face]
scaleFaceH = 110
scaleFaceV = 136
idFaceTex = 44
[Faling]
idFalingSkin = 433
idFalingTex = 437
[Forehead]
offsetForeheadH = 126
offsetForeheadV = 136
offsetForeheadZ = 192
rotateForehead = 158
scaleForehead = 64
[YokeBone]
offsetYokeBoneH = 139
offsetYokeBoneV = 113
offsetYokeBoneZ = 102
rotateYokeBone = 128
scaleYokeBone = 128
[Cheek]
offsetCheekH = 132
offsetCheekV = 128
offsetCheekZ = 118
scaleCheek = 128
[Chain]
offsetChainV = 113
offsetChainZ = 94
rotateChain = 155
scaleChainH = 80
[Jaw]
offsetJawH = 161
offsetJawV = 128
offsetJawZ = 128
scaleJawSpecial = 128
scaleJawH = 128
scaleJawV = 128
[Eye]
idEyeBaseTex = 50
idEyeHighTex = 49
idEyeBallTex = 48
idEyeShape = 71
scaleEyeH = 172
scaleEyeV = 255
rotateEye = 141
offsetEyeH = 128
offsetEyeV = 128
offseteyeZ = 64
scaleEyeBall = 192
scaleEyeH2 = 172
scaleEyeV2 = 255
rotateEye2 = 141
offsetEyeH2 = 128
offsetEyeV2 = 128
offseteyeZ2 = 64
scaleEyeBall2 = 192
[Brow]
idBrowTex = 46
idBrowShape = 355
scaleBrowH = 102
scaleBrowV = 64
rotateBrow = 96
offsetBrowH = 165
offsetBrowV = 160
offsetBrowZ = 126
scaleBrowH2 = 102
scaleBrowV2 = 64
rotateBrow2 = 96
offsetBrowH2 = 165
offsetBrowV2 = 160
offsetBrowZ2 = 126
[Nose]
idNoseTex = 41
idNoseTipShape = 58
scaleNoseTipH = 93
scaleNoseTipV = 120
scaleNoseTipZ = 140
offsetNoseTipV = 128
idNoseBridgeShape = 55
scaleBridgeTipH = 98
offsetBridgeTipZ = 164
[Mouth]
idMouthUpLipLine = 80
idMouthMidLipLine = 77
idMouthDownLipLine = 83
thickUpLip = 108
thickDownLip = 92
scaleMouthH = 64
offsetMouthV = 128
offsetMOuthZ = 128
idMouthTex = 52
offsetCornerOfMouthSpecial = 120
scaleMouthH2 = 64
offsetCornerOfMouthSpecial2 = 120
[Ear]
idEarShape = 60
scaleEar = 120
offsetEarV = 128
[Hair]
idHairModel = 881
idHairTex = 891
[Moustache]
idMoustacheTex = 204
idMoustacheSkin = 186
idGoateeTex = 596
[Color]
colorHair = -131072
colorface = -1
colorEye = -1728049
colorBrow = -15001834
colorMouth = -1862510
colorEyeBall = -14607322
colorMoustache = -1
[Body]
bodyID = 0
colorBody = 16775930
headScale = 120
upScale = 80
waistScale = 70
armWidth = 70
legWidth = 70
breastScale = 75