DInjector/blob/main/DInjector/Modules/RemoteThreadDll.cs 原文： https://www.netero1010-securitylab.com/eavsion/alternative-process-injection
（1）时序约束：主要用于规范设计的时序行为，表达设计者期望满足的时序条件，知道综合和布局布线阶段的优化算法等。
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Created by Wang, Jerry, last modified on Jan 06, 2017 From SAP help: Alternative ID types can be defined Alternative IDs therefore allow you to use an identification in your business processes that conforms Then you can maintain this alternative ID in Web UI: ? And it is also possible to search against alternative id: ? Technically the alternative id is still implemented based on a concrete settype. ? ?
工作中使用https请求，本地调用正常，放到服务器端运行失败，报错为java.security.cert.Certificate：No subject alternative DNS name matching
一、@Alternative/@Default/@Any 当一个服务接口（也称契约）有多个实现时，可以在代码里指定一个缺省的实现类型（即：标注成@Default或@Any），其它实现类标注成@Alternative "; 14 } 15 16 } 1 package contract.impl; 2 3 import javax.enterprise.inject.Alternative; 4 ，表示它是候选项，俗称：备胎：），所有非@Default的实现类，都必须标识@Alternative，否则注入时，会提示“不明确的类型” 再来看DriveService的实现，我们提供三种实现：驾驶汽车 ; 4 5 import contract.DriveService; 6 7 @Alternative 8 public class TractorDriveImpl implements 2.7 运行效果：浏览地址 http://localhost:8080/cdi-alternative-sample/ext.jsf ?
Requirement When you maintain Opportunity line item and try to maintain a product, you can enter the alternative Detail steps to achieve it (1) I plan to use the standard alternative ID type ALT_NO. The database table to store alternative ID is ISAM_O_VEH_IDS: ? (4) Now you could maintain alternative ID for product created based on product category MAT_: ? Instead I can type alternative ID “JDK 1.7”: ? And the product could successfully be determined.
Created by Jerry Wang, last modified on Oct 02, 2016 By default SAP has already delivered some standard Alternative Then you can maintain this alternative ID in Web UI: ? And it is also possible to search against alternative id: ? Technically the alternative id is still implemented based on a concrete settype. ? ?
1、 用HttpClient发送Https请求报SSLException: Certificate for <域名> doesn't match any of the subject alternative javax.net.ssl.SSLPeerUnverifiedException: Certificate for <xx.xxx.xxx.xxx> doesn't match any of the subject alternative
Created by Jerry Wang, last modified on Oct 03, 2016 When you choose “Alternative ID Type” in search
for “https://127.0.0.1:5031/commerce/product”: java.security.cert.CertificateException: No subject alternative exception is javax.net.ssl.SSLHandshakeException: java.security.cert.CertificateException: No subject alternative Caused by: javax.net.ssl.SSLHandshakeException: java.security.cert.CertificateException: No subject alternative sun.security.ssl.ClientHandshaker.serverCertificate(ClientHandshaker.java:1488) … 19 more 错误的核心就一句：No subject alternative /jerry2.keystore -ext SAN=dns:test.abc.com,ip:127.0.0.1 证书生成后，在Subject Alternative names区域能看到IP地址： ?
POST -H 'Content-Type:application/json' -d ' { "appId":10000 } ' 出现 SSL 51 异常： curl: (51) SSL: no alternative
= 'https://en.wikipedia.org' + alternative.find('a').get('href') # print('Alternative url:', alternative_url) alternative_html = requests.get(alternative_url, timeout=15, (alternative_html, 'lxml') alternative_table = alternative_soup.find('table', class_= property['alternative_word'] = alternative_soup.find('h1', class_='firstHeading').getText() property['alternative_firstPara'] = alternative_div.find('div', class_='mw-parser-output').find('p').
有些基因的前体mRNA（pre-mRNA）通过不同的剪接方式（选择不同的剪接位点）产生不同的mRNA剪接异构体，这一过程称为可变剪接（或者选择性剪切）（Alternative Splicing）。 常见的可变剪切可以分成6类： 1、外显子跳跃（Exon Skipping） 2、内含子保留（Intron Retention） 3、5’端可变剪接（Alternative 5′ splice Site） 4、3’端可变剪接（Alternative 3′ splice Site） 5、最后一个外显子可变剪接（Alternative Last Exon） 6、第一个外显子可变剪接（Alternative 可变剪切预测软件 使用Cufflinks软件，与基因原有的剪接模型进行比较，对Mapped Data中的跨内含子Reads，进行新可变剪接事件（Alternative Splicing Events）预测
单正态总体的假设检验方法: 7.3.1均值差的检验 (1)两个总体的方差已知 编写均值差的正态检验函数z.test2() > z.test2=function(x,y,sigma1,sigma2,alternative =="greater") result$P=pnorm(z,lower.tail=FALSE) + else if(alternative=="less") result$P=pnorm(z) + > z.test(prior,post,sigma.x=8,sigma.y=12,alternative="less") Two-sample z-Test data: prior and post z = -8.8, p-value <2e-16 alternative hypothesis: true difference in means is less than 0 95 > t.test(prior,post,var.equal=FALSE,alternative="less") Welch Two Sample t-test data: prior
) #> #> Welch Two Sample t-test #> #> data: 1:10 and 10:20 #> t = -7, df = 19, p-value = 2e-06 #> alternative Paired t-test #> #> data: rnorm(10) and rnorm(10, mean = 1) #> t = -5, df = 9, p-value = 7e-04 #> alternative ) #> #> Welch Two Sample t-test #> #> data: value by group #> t = -0.4, df = 15, p-value = 0.7 #> alternative = TRUE) #> #> Two Sample t-test #> #> data: value by group #> t = -0.4, df = 18, p-value = 0.7 #> alternative One-sample Kolmogorov-Smirnov test #> #> data: rpois(10, lambda = 1) #> D = 0.5, p-value = 0.01 #> alternative
R自带的函数中只提供了t检验的函数t.test()，而没有Z检验的函数，自己编写函数z.test()，用于计算z统计量的值以及P值: > z.test=function(x,mu,sigma,alternative =="greater")result$P=pnorm(z,lower.tail=FALSE) + else if(alternative=="less")result$P=pnorm(z) + result + } BSDA包提供了函数z.test( )，它可以对基于正态分布的单样本和双样本进行假设检验，其使用方法如下: z.test(x,y=NULL,alternative="two.sided (1)σ2未知 直接调用t检验函数t.test()即可: t.test(x, y = NULL,alternative = c("two.sided", "less", "greater"),mu ,df) + result + } > chisq.var.test(bj,0.25,alternative="less") $df [1] 11 $var [1] 0.4752 $chi2 [
3、相关性检验： R函数：cor.test() cor.test(x, y, alternative = c("two.sided", "less", "greater"), method = t.test() t.test(x, y = NULL, alternative = c("two.sided", "less", "greater"), mu = 0, paired = FALSE, 具体的假设要看所选择的是双边假设还是单边假设（又分小于和大于） 5、正态总体方差检验 t.test(x, y = NULL, alternative = c("two.sided", "less", " 具体的假设要看所选择的是双边假设还是单边假设（又分小于和大于） 6、二项分布总体假设检验 binom.test(x, n, p = 0.5, alternative = c("two.sided", " 原假设：x,y相关. 11、Wilcoxon秩检验 wilcox.test(x, y = NULL, alternative = c("two.sided", "less", "greater"), mu
. → Alternative hypothesis Since it was quite unlikely to obtainresults like the actual data or something 30% or more higher than female promotions), we decided toreject the null hypothesis in favor of the alternative If they do, then we reject the null hypothesisin favor of the alternative. – HA： Representsan alternative claim under consideration and is often represented by a range ofpossible type 2 error rate If the alternative hypothesis is actuallytrue, what is the chance that we make a Type
t检验的样本量计算 对于t检验，可以使用pwr.t.test(n= , d= , sig.level= , power= , type= , alternative= )计算样本量，其中： n：样本量 sig.level：显著性水平，默认值0.05 power：功效 type：检验类型：两样本t检验（two.sample），单样本t检验（one.sample），配对t检验（paired），默认两样本t检验 alternative sig.level = 0.05, power = 1-0.1, type = "one.sample", alternative sig.level = 0.05, power = 1 - 0.1, type = "two.sample", alternative pwr.r.test(r=0.8, sig.level = 0.05, power = 1-0.1, alternative = "two.sided
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