1、sinuses

sinuses發(fā)音

英：[?sa?n?s?s]　　美：[?sa?n?:s?s]

英：　　美：

sinuses中文意思翻譯

常用釋義：鼻竇

n.鼻竇；鼻竇炎

sinuses雙語(yǔ)使用場(chǎng)景

1、For weeks my gums, teeth, jaw and sinuses throbbed.───好幾周我的牙齦、牙齒、下巴、鼻竇陣痛不止。

2、The walls of the sinuses are lined with endocytic cells which engulf any foreign particles that might be present in the lymph.───竇的壁襯蓋著內(nèi)吞細(xì)胞，這些細(xì)胞能吞食淋巴中可能出現(xiàn)的任何一種外來(lái)顆粒。

3、Become aware of the breath moving through the nostrils and the sinuses, behind the eyes and upper jaw.───開始去意識(shí)在眼睛和上顎后通過(guò)鼻孔和鼻竇的呼吸運(yùn)動(dòng)。

4、Subdural hematomas are a result of tearing of the bridging veins which are located between the cortical veins and the dural sinuses.───硬膜下血腫是由于皮層靜脈和硬膜竇之間的橋靜脈的撕裂所致。

5、filled with vascular sinuses and capable of becoming distended and rigid as the result of being filled with blood.───（生理學(xué)）充滿血管竇而且在充血時(shí)可以變大、變硬。

6、They noted that the actual function of sinuses is still the subject of debate, and this theory may help clarify their purpose.───他們注意到，鼻竇的真實(shí)作用還尚有爭(zhēng)議，因此這項(xiàng)理論可能能夠幫助揭示鼻竇的作用。

7、Doctors don't really know much about sinuses, only that we have a lot of them.───醫(yī)生們并不真正了解竇，只知道我們長(zhǎng)了很多。

8、Specifically, they looked to see if humming led to greater levels of exhaled nitric oxide, a gas produced in the sinuses.───他們特別觀察，哼綿羊音是否會(huì)從鼻竇中拍出的更多一氧化氮。

9、your sinuses, let's start working on your hearing.───你的嗅覺正常了，現(xiàn)在開始治聽覺。

sinuses相似詞語(yǔ)短語(yǔ)

1、genuses───n.類，種；屬(genus的變形)

2、Venuses───小靜脈

3、disuses───n.不被使用；vt.停止使用

4、dinguses───n.新玩意兒

5、anuses───n.[解剖]肛門；n.(Anus)人名；(西)阿努斯

6、minuses───prep.減，減去；零下；（非正式）無(wú)，欠缺（曾經(jīng)有過(guò)的東西）；n.減號(hào)，負(fù)號(hào)；（非正式）負(fù)數(shù)，負(fù)值；（非正式）缺點(diǎn)，不足；adj.減的；（尤指溫度）負(fù)的，零下的；負(fù)面的；略低的；陰性的；n.(Minus)（美、俄、英）米納斯（人名）

7、-nuses───操

8、ficuses───榕樹

9、bonuses───n.獎(jiǎng)金（bonus的復(fù)數(shù)形式）

2、spline函數(shù)，各個(gè)參數(shù)的含義？

spline函數(shù)的參數(shù)的含義主要如下：

Cubic spline data interpolation

Syntax

s = spline(x,y,xq)

pp = spline(x,y)

Description

s = spline(x,y,xq) returns a vector of interpolated values s corresponding to the query points in xq. The values of s are determined by cubic spline interpolation of x and y.

s = spline(x,y,xq)返回與xq中的查詢點(diǎn)對(duì)應(yīng)的內(nèi)插值s的向量。 s的值由x和y的三次樣條插值確定。

xq是使用MATLAB畫模擬信號(hào)圖時(shí)，坐標(biāo)軸的范圍以及坐標(biāo)點(diǎn)之間的間隔。這個(gè)間隔應(yīng)該足夠密集。

pp = spline(x,y) returns a piecewise polynomial structure for use by ppval and the spline utility unmkpp.

pp = spline(x,y)返回一個(gè)分段多項(xiàng)式結(jié)構(gòu)，供ppval和樣條函數(shù)unmkpp使用。

Spline Interpolation of Sine Data

Use spline to interpolate a sine curve over unevenly-spaced sample points.

x = [0 1 2.5 3.6 5 7 8.1 10];

y = sin(x);

xx = 0:.25:10;

yy = spline(x,y,xx);

plot(x,y,'o',xx,yy)

Spline Interpolation of Distribution with Specified Endpoint Slopes

Use clamped or complete spline interpolation when endpoint slopes are known. This example enforces zero slopes at the end points of the interpolation.

當(dāng)已知端點(diǎn)斜率時(shí)，使用夾緊或完整的樣條插值。 此示例在插值的結(jié)束點(diǎn)強(qiáng)制執(zhí)行零斜率。

x = -4:4;

y = [0 .15 1.12 2.36 2.36 1.46 .49 .06 0];

cs = spline(x,[0 y 0]);

xx = linspace(-4,4,101);

plot(x,y,'o',xx,ppval(cs,xx),'-');

Extrapolation Using Cubic Spline

Extrapolate a data set to predict population growth.

Create two vectors to represent the census years from 1900 to 1990 (t) and the corresponding United States population in millions of people (p).

推斷數(shù)據(jù)集以預(yù)測(cè)人口增長(zhǎng)。

創(chuàng)建兩個(gè)向量來(lái)表示1900年至1990年（t）的人口普查年和數(shù)百萬(wàn)人的相應(yīng)美國(guó)人口（p）。

t = 1900:10:1990;

p = [ 75.995 91.972 105.711 123.203 131.669 ...

150.697 179.323 203.212 226.505 249.633 ];

Extrapolate and predict the population in the year 2000 using a cubic spline.

spline(t,p,2000)

Spline Interpolation of Angular Data（角度數(shù)據(jù)的樣條插值）

Generate the plot of a circle, with the five data points y(:,2),...,y(:,6) marked with o's. The matrix y contains two more columns than does x. Therefore, spline uses y(:,1) and y(:,end) as the endslopes. The circle starts and ends at the point (1,0), so that point is plotted twice.

生成一個(gè)圓的圖，其中五個(gè)數(shù)據(jù)點(diǎn)y（：，2），...，y（：，6）用o標(biāo)記。 矩陣y包含比x多兩列的列。 因此，樣條曲線使用y（：，1）和y（：，end）作為endslopes。 圓圈在點(diǎn)（1,0）處開始和結(jié)束，因此該點(diǎn)被繪制兩次。

x = pi*[0:.5:2];

y = [0 1 0 -1 0 1 0;

1 0 1 0 -1 0 1];

pp = spline(x,y);

yy = ppval(pp, linspace(0,2*pi,101));

plot(yy(1,:),yy(2,:),'-b',y(1,2:5),y(2,2:5),'or')

axis equal

Spline Interpolation of Sine and Cosine Data

Use spline to sample a function over a finer mesh.

Generate sine and cosine curves for a few values between 0 and 1. Use spline interpolation to sample the functions over a finer mesh.

使用樣條曲線在更精細(xì)的網(wǎng)格上對(duì)函數(shù)進(jìn)行采樣。

為0到1之間的幾個(gè)值生成正弦和余弦曲線。使用樣條插值在更精細(xì)的網(wǎng)格上對(duì)函數(shù)進(jìn)行采樣。

x = 0:.25:1;

Y = [sin(x); cos(x)];

xx = 0:.1:1;

YY = spline(x,Y,xx);

plot(x,Y(1,:),'o',xx,YY(1,:),'-')

hold on

plot(x,Y(2,:),'o',xx,YY(2,:),':')

hold off

Data Interpolation Using spline and pchip

Compare the interpolation results produced by spline and pchip for two different functions.

Create vectors of x values, function values at those points y, and query points xq. Compute interpolations at the query points using both spline and pchip. Plot the interpolated function values at the query points for comparison.

x = -3:3;

y = [-1 -1 -1 0 1 1 1];

xq1 = -3:.01:3;

p = pchip(x,y,xq1);

s = spline(x,y,xq1);

plot(x,y,'o',xq1,p,'-',xq1,s,'-.')

legend('Sample Points','pchip','spline','Location','SouthEast')

In this case, pchip is favorable since it does not oscillate as freely between the sample points.

Perform a second comparison using an oscillatory sample function.

x = 0:25;

y = besselj(1,x);

xq2 = 0:0.01:25;

p = pchip(x,y,xq2);

s = spline(x,y,xq2);

plot(x,y,'o',xq2,p,'-',xq2,s,'-.')

legend('Sample Points','pchip','spline')

When the underlying function is oscillatory, spline captures the movement between points better than pchip.