Range

摘要： In this work, the mass stopping power and range of protons in biological human body tissues (ovary, lung and breast) were calculated at the energy ranging from 0.04 MeV to 200 MeV using the MATLAB Program. The data relating to the densities, average atomic number to mass number  and excitation energy for the present tissues were collected from ICRU Report 46. The mass stopping power was calculated by the Bethe formula. Moreover, the simple integration (continuous slowing down approximation) method was employed for calculating protons range at the tissues. The results of the mass stopping power versus energy and the range versus energy were presented graphically and the empirical formulae for calculating the mass stopping power and the ranges were obtained. The present results for mass stopping powers and ranges were compared with the results obtained by others. Good agreements were found between them, especially at the energy ranging from 3 to 200 MeV.

摘要： In this work, the electronic mass stopping power and the range of protons in some biological human body parts (Water, Muscle, Skeletal and Bone, Cortical) were calculated in the energy range of protons 0.04 to 200 MeV using the theory of Bethe-Bloch formula as giving in the references. All these calculations were done using Matlab program. The data related to the densities, average atomic number to mass number and excitation energies for the present tissues and substances were collected from ICRU Report 44 (1989). The present results for electronic mass stopping powers and ranges were compared with the data of PSTAR and good agreements were found between them, especially at energies between 1 - 200 MeV for stopping power and 4 - 200 MeV for the range. Also in this study, several important quantities in the field of radiation, such as thickness, linear energy transfer (LET), absorbed dose, equivalent dose, and effective dose of the protons in the given biological human body parts were calculated at protons energy 0.04 - 200 MeV.

摘要： Inspired by Benjamini et al.(2010) and Windisch(2010),we consider the entropy of the random walk ranges Rn formed by the first n steps of a random walk S on a discrete group.In this setting,we show the existence of hR:=limn→∞H(Rn)/n called the asymptotic entropy of the ranges.A sample version of the above statement in the sense of Shannon(1948) is also proved.This answers a question raised by Windisch(2010).We also present a systematic characterization of the vanishing asymptotic entropy of the ranges.Particularly,we show that hR=0 if and only if the random walk either is recurrent or escapes to negative infinity without left jump.By introducing the weighted digraphs Γn formed by the underlying random walk,we can characterize the recurrence property of S as the vanishing property of the quantity limn→∞H(Γn)/n,which is an analogue of hR.

摘要： The cowboy lost his favorite book while he was mending fences out on the range. Three weeks later, a sheep walked up to him carrying the book in its mouth. The cowboy couldn’t believe his eyes. He took the precious book out of the sheep’s mouth and said,"It’s a miracle!""Not really,"said the sheep."Your name is written inside the cover."

摘要： BACKGROUND Liver cirrhosis is a significant source of morbidity and mortality worldwide.The disease is usually indolent and asymptomatic early in its course while many cirrhotic patients are diagnosed late when severe complications occur.A major challenge is to diagnose advanced fibrosis as early as possible,using simple and non-invasive diagnostics tools.Thrombocytopenia represents advanced fibrosis and portal hypertension(HTN)and most non-invasive scores that predict liver fibrosis incorporate platelets as a strong risk factor.However,little is known about the association between longitudinal changes in platelet counts(PTC),when still within the normal range,and the risk of cirrhosis.AIM To explore whether platelet counts trajectories over time,can predict advanced liver fibrosis across the different etiologies of liver diseases.METHODS A nested case-control study utilizing a large computerized database.Cirrhosis cases(n=5258)were compared to controls(n=15744)matched for age and sex at a ratio of 1:3.All participants had multiple laboratory measurements prior to enrollment.We calculated the trends of PTC,liver enzymes,bilirubin,international normalized ratio,albumin and fibrosis scores(fibrosis-4 and aspartate transaminase-to-platelet ratio index)throughout the preceding 20 years prior to cirrhosis diagnosis compared to healthy controls.The association between PTC,cirrhosis complications and fibrosis scores prior to cirrhosis diagnosis was investigated.RESULTS The mean age in both groups was 56(SD 15.8).Cirrhotic patients were more likely to be smokers,diabetic with chronic kidney disease and had a higher prevalence of HTN.The leading cirrhosis etiologies were viral,alcoholic and fatty liver disease.The mean PTC decreased from 240000/μL to 190000/μL up to 15 years prior to cirrhosis diagnosis compared to controls who’s PTC remained stable around the values of 240000/μL.This trend was consistent regardless of sex,cirrhosis etiology and was more pronounced in patients who developed varices and ascites.Compared to controls whose values remained in the normal range,in the cirrhosis group aspartate aminotransferase and alanine aminotransferase,increased from 40 U/L to 75 U/L and FIB-4 increased gradually from 1.3 to 3 prior to cirrhosis diagnosis.In multivariable regression analysis,a decrease of 50 units in PTC was associated with 1.3 times odds of cirrhosis(95%CI 1.25-1.35).CONCLUSION In the preceding years before the diagnosis of cirrhosis,there is a progressive decline in PTC,within the normal range,matched to a gradual increase in fibrosis scores.

摘要： Vocabulary teaching is a most significant part of language education.However,the effect of English vocabulary teaching in most Chinese universities is not very satisfactory.This study aims to explore the use of corpora,Range,and cooperative learning models in English vocabulary teaching in Chinese higher education.For that purpose,we shall firstly work out a revised list of words to learn for the students with the help of famous corpora and Range.Then,cooperative learning models can be employed to best motivate students in the vocabulary learning process.

摘要： 本发明公开了一种大文件HTTP‑Range下载方法、缓存服务器及系统。该方法包括：当接收到客户端的Range请求时，缓存服务器先检查本地是否保存整个实体，若有，则直接响应；如果未保存整个实体，则检查本地是否保存大于等于请求范围的实体，若有，则进行响应，否则，判断本地存有的部分实体是否超过阈值，若超过，向源站发起整个范围请求，否则发起部分范围请求，再结合本地内容响应。因此，优化了缓存服务器对于Range请求的响应，减少了源站的压力。

摘要： 本发明涉及一种ranging码生成方法及装置，上述方法包括：预先为每个序号的ranging码生成一个PN码并存储，当需要生成ranging码时，根据ranging码的序号，读取对应的PN码；初始化PRBS，对PRBS与PN码进行相关运算，生成ranging码的第1个bit，对PRBS以1bit为单位进行143次移位，且每移位一次，均与PN码进行一次相关运算，依次得到ranging码的后续bit，最终得到上述序号的ranging码；上述装置包括PN码生成模块、PN码读取模块、PRBS模块以及ranging码生成模块。本发明提高了不同序号的ranging码的生成速度。

摘要： 本发明提供了一种AoA‑Range定位系统及方法，解决了定位方法繁琐且精确度不高的问题。系统包括：定位终端，用于采集信号；信号终端，信号终端包括信号发送模块和信号接收模块，与定位终端通讯连接，与定位终端之间进行信号收发；控制终端，与定位终端连接，控制终端包括分析计算模块，分析计算模块包括用于分析信号终端的到达角的到达角算法模块，以及用于分析信号终端、定位终端间距的相对位置算法模块。本发明通过将定位终端的天线阵列接收到的信号通过MUSIC算法解算，得到信号终端的到达角，再结合测距得到的Range值，将到达角和Range值结合，从而确定信号终端的具体位置，无需通过复杂的数学运算，通过简单的角度函数即可求得信号终端的位置坐标。

摘要： 本发明公开了一种基于N‑range图像处理算法的眼动参数监测的疲劳检测方法，包括以下步骤：1)采集侧眼图像并预处理；2)通过十字交叉卷积核进行卷积操作，得到眼部的梯度激活图；3)对梯度激活图进行阈值分割，去除激活程度低于阈值的区域并置为0，其余区域保持不变；4)计算图像的列方向和行方向的标准差投影图；对标准差投影图采用平均值阈值分割法，保留大于平均值标准差所在的行序号和列序号，作为眼部的区域；5)计算矩形框的高宽比，判断睁、闭眼状态；6)疲劳状态分析。本发明具有平移旋转以及尺度不变形，且鲁棒性高，抗噪声能力与抗光照不均衡能力均较强，能提高疲劳检测的准确率。

摘要： 本发明公开了一种基于N‑range图像处理算法的眼动参数监测的疲劳检测及促醒系统，包括：眼镜本体；图像采集模块，用于采集佩戴者的侧眼图像数据；促醒模块；电源模块；后台处理模块，其包括眼动数据分析模块、疲劳程度分析模块及主控模块；其中，所述眼动数据分析模块采用N‑range图像处理算法对眼动数据进行分析。本发明通过眼动数据分析，能自动实时判定人体疲劳程度，并依据人体疲劳等级进行预警，并施以声、光、振动相结合的促醒刺激，促使人体疲劳程度降低，使人体警觉度及作业能力提升。本发明的眼动参数分析方法具有平移旋转以及尺度不变形，且鲁棒性高，抗噪声能力与抗光照不均衡能力均较强。

摘要： 本发明提供了一种基于oracle数据库系统的range分区表的维护方法和系统，其中维护方法包括至少一次的维护过程，维护过程包括：获取一个需要维护的range分区表及其对应的元数据；根据需要维护的range分区表的元数据和当前日期，获得当前日期所对应分区的上个周期的分区名称及下个周期的分区名称、表空间值、分区键划分值；若上个周期的分区存在，删除上个周期的分区；若下个周期的分区不存在，增加下个周期的分区；根据分区的删除和/或增加重新建立range分区表索引；更新元数据，并将更新的元数据进行存储；将增加的下个周期分区的统计信息存储到分区表统计信息中；通过本发明的方法和系统，可实现oracle数据库的range分区表由自动维护来代替oracle？DBA的手动维护。

摘要： 本发明提供一种用于检测CYP2D6基因多态性变异的Long‑range PCR方法及试剂盒。其方法包含：步骤1.基因组DNA提取，步骤2.LR‑PCR法特异性扩增CYP2D6基因，步骤3.扩增产物纯化，步骤4.产物文库构建。相对于多重PCR检测，该检测方法无需设计特别多对的引物，而且在PCR过程中减少非特异性条带的扩增，有效的对多态性变异条带进行了富集。在本发明引物扩增条件下，扩增出结果的条带清晰、单一。与定制化芯片杂交捕获技术相比，Long‑rangePCR可以明显缩短时间，大大降低成本。

摘要： 本发明公开了一种基于N‑range图像处理算法的眼动参数监测的疲劳检测及促醒系统，包括：眼镜本体；图像采集模块，用于采集佩戴者的侧眼图像数据；促醒模块；电源模块；后台处理模块，其包括眼动数据分析模块、疲劳程度分析模块及主控模块；其中，所述眼动数据分析模块采用N‑range图像处理算法对眼动数据进行分析。本发明通过眼动数据分析，能自动实时判定人体疲劳程度，并依据人体疲劳等级进行预警，并施以声、光、振动相结合的促醒刺激，促使人体疲劳程度降低，使人体警觉度及作业能力提升。本发明的眼动参数分析方法具有平移旋转以及尺度不变形，且鲁棒性高，抗噪声能力与抗光照不均衡能力均较强。

摘要： 本发明公开了一种基于N‑range图像处理算法的眼动参数监测的疲劳检测方法，包括以下步骤：1)采集侧眼图像并预处理；2)通过十字交叉卷积核进行卷积操作，得到眼部的梯度激活图；3)对梯度激活图进行阈值分割，去除激活程度低于阈值的区域并置为0，其余区域保持不变；4)计算图像的列方向和行方向的标准差投影图；对标准差投影图采用平均值阈值分割法，保留大于平均值标准差所在的行序号和列序号，作为眼部的区域；5)计算矩形框的高宽比，判断睁、闭眼状态；6)疲劳状态分析。本发明具有平移旋转以及尺度不变形，且鲁棒性高，抗噪声能力与抗光照不均衡能力均较强，能提高疲劳检测的准确率。

摘要： 本发明公开了一种针对窗口函数range方式的窗口采样算法，该方法充分利用数据间的关联，查询时首先对数据库中存在的大量数据进行随机采样，然后在采样数据上计算每行数据的窗口函数值并连同置信区间一并返回用户。本发明对窗口函数的计算流程做出优化，在保证结果精度的前提下降低查询响应的时间开销，大大提高了窗口函数的执行效率，在大数据应用上表现优异。