电子化测量健康相关生命质量的软件QL-Recorder

本文综述了电子化测量健康相关生命质量的软件QL-Recorder的优点及其国内外研究现状,并在此基础上指出了其在中国研究的必要性及其应用前景。

Design of Miniature Temperature Recorder Based on PIC24F

The designing scheme for PIC24F-based miniature temperature recorder was summarized and MCU was introduced. The scheme included sensitive compo-nents, MCU （PIC24FJ128GA106）, as wel as the PC terminal for settings, col ec-tions and temperature read as wel as data processing. And the principle of design was introduced, including measurement module introduction, real-time clock and de-vice calibration section. This paper provided a theoretical basis for the application of PIC24F-based miniature temperature recorder.

Study on the development and usage of a cardiopulmonary resuscitation time point recorder

BACKGROUND: To invent a novel cardiopulmonary resuscitation(CPR) time point recorder to synchronously and automatically record the time and to identify its effectiveness in humans.METHODS: A CPR time point recorder was invented after the doctors were familiar with the traditional Utstein recovery registration mode and mastered the registration time points required. The progress of CPR was simulated. The standard and correct times were recorded, and the doctors performing the recovery collected the data about the times using our CPR time point recorder or the memory registration mode.RESULTS: The deviation times were 21.4±24.7 seconds for the memory group and 3.57±4.58 seconds for CPR time point recorder group. The deviation of times increased signifi cantly depending on the increase of the operation items in the memory group. A similar phenomenon was found in the timer group but with a smaller difference(P<0.01).CONCLUSION: A CPR time point recorder could reduce the deviation of operate-time, especially after a long-time operation, and for procedures with more operating items, compared with the memory mode. It was a more advantageous and accurate method for the Utstein registration.

CFD Simulation of Air Flow Behaviour at Different Flow Rates in a Turkish Woodwind Instrument (Turkish Treble Recorder)

In musical instruments, the geometric design and material features of the instrument are the most important factors that determine the sound characteristics of the instrument. Traditional replication and experiment-based handcrafting methods are predominant in the production of Turkish Folk Music wind instruments. The instrument manufacturing and standardization approaches, which include the relevant rules of physics and engineering practices, are limited purely to prototype studies for scientific research purposes. It is almost impossible to find studies on Turkish Folk Music wind instrument design and production involving computer aided design and engineering applications. In this study, an example Turkish woodwind instrument, the Turkish Treble Recorder (dilli kaval) is considered, and the air flow behaviour and acoustic (sound) power magnitudes that occur at different air flow rates are simulated in a computer environment using a Computational Fluid Dynamics (CFD) simulation technique. In the study, numerical and visual outputs related to air behaviour at different air flow rates that may be used in the instrument manufacturing phases were obtained. Acoustic power level was also measured experimentally. Simulation outputs (the acoustic power level) were compared to experimental results in order to validate the simulation results. The comparison revealed that the highest relative difference was calculated as 13.32(%). This value indicated that the simulation results were reasonably consistent with the results of the experimental measurement. Additionally, this study was constructed as a case study that may provide reference for future research studies in this field.

Data Processing of Fault Recorder in Power System

This article studies the fault recorder in power system and introduces the Comtrade format. Andituses C++ programming to read recorded fault data and adopts Fourier analysis and symmetrical component method to filter and extract fundamental waves. Finally the effectiveness of the data processing method introduced in this paper is verified by CAAP software.

利用Camtasia Recorder优化多媒体教学

针对目前多媒体教学存在的问题，阐述如何利用Camtasia Recorder软件优化教学．提高教学质量．并使优化措施模式化，以促进多媒体教学优化的有效开展．

Feasibility Analysis of Performance Validation for Satellite Altimeters Using Tide Gauge and Deep-ocean Bottom Pressure Recorder

Independent of traditional approach of satellite altimeter calibration, the feasibility of altimeter validation using tide gauge located on solitary island at open sea (TGSI) and deep-ocean bottom pressure recorder (DBPR) separately is initially studied. Bias of Jason-3 sea surface height (SSH) and relative SSH bias (Δbias) between Jason-2 and Jason-3 is calculated using the data of tide gauge on Harvest oil platform, tide gauge No. 1890000 and DBPR No. 21419. The standard deviations of calculated SSH bias sequence are 3.98 cm, 2.87 cm and 8.61 cm respectively, and Δbias (Jason-3—Jason-2) is -3.62± 2.17 cm , -2.58±1.97 cm and -2.60±1.30 cm respectively. Comparing to the results reported by international calibration sites, the results show that Jason-3 SSH is 3.0 cm lower than that of Jason-2, the selected DBPR is appropriate to the calculation of relative SSH bias between Jason-2 and Jason-3, but it is not suitable for calibration or validation of single satellite, TGSI is appropriate to both.

Detection of Turbulence Anomalies Using a Symbolic Classifier Algorithm in Airborne Quick Access Record(QAR)Data Analysis

As the risks associated with air turbulence are intensified by climate change and the growth of the aviation industry,it has become imperative to monitor and mitigate these threats to ensure civil aviation safety.The eddy dissipation rate(EDR)has been established as the standard metric for quantifying turbulence in civil aviation.This study aims to explore a universally applicable symbolic classification approach based on genetic programming to detect turbulence anomalies using quick access recorder(QAR)data.The detection of atmospheric turbulence is approached as an anomaly detection problem.Comparative evaluations demonstrate that this approach performs on par with direct EDR calculation methods in identifying turbulence events.Moreover,comparisons with alternative machine learning techniques indicate that the proposed technique is the optimal methodology currently available.In summary,the use of symbolic classification via genetic programming enables accurate turbulence detection from QAR data,comparable to that with established EDR approaches and surpassing that achieved with machine learning algorithms.This finding highlights the potential of integrating symbolic classifiers into turbulence monitoring systems to enhance civil aviation safety amidst rising environmental and operational hazards.

Test and evaluation of a moored microstructure recorder

A new moored microstructure recorder(MMR) is designed, developed, tested, and evaluated. The MMR directly measures the high-frequency shear of velocity fl uctuations, with which we can estimate the dissipation rate of turbulent kinetic energy. We summarize and discuss methods for estimating the turbulent kinetic energy dissipation rate. Instrument body vibrations contaminate the shear signal in an ocean fi eld experiment, and a compensating correction successfully removes this contamination. In both tank test and ocean fi eld experiment, the dissipation rate measured with the MMR agreed well with that measured using other instruments.

超级录音软件——Total Recorder

Total Recorder是一个非常棒的超级录音软件,给它冠一个“超级”头衔,并不仅仅指它能从CD唱片或通过话筒录音、或者将不同的声音文件格式转化成WAV格式,它的绝妙之处在于既能从Internet录音、也可以将计算机中任何软件播放的音频在声卡中截获,并录制成数字文件供以后播放,声音没有任何损失。

A Study on Advertisements in The Chinese Recorder and Missionary Journal

The Chinese Recorder and Missionary Journal is one of the most valued English literature in China’s history of Christianity and the key publications of missionaries from the second half of the 19th Century to the first half of the 20th Century.The advertisements in it have not been properly stressed by the academic world,most of which are even deleted in the bound volumes.This paper aims to give a preliminary study on the advertisements in Chinese Recorder and Missionary Journal,comparing and analyzing advertisers,slogans and text structures and appeal methods of advertisements of shipping,banking,schools and book introduction in Chinese Recorder and Missionary Journal,thus demonstrating its significance in China’s modern advertising industry and Sino-western commercial trade and cultural exchange.

明察秋毫的网络录像机 松下Network Disc Recorder DG—ND200

安防系统是数字家庭中不可或缺的成员．想知道自己家里每个角落发生的故事么？很简单．松下Network Disc Recorder DG—ND200帮你实现这个梦想。DG—ND200能够记录下分布在家中各处的摄像头通过局域网传回的视频数据．并将其录制在内建的硬盘上．它最多支持16路视频数据输入．也就意味着最多可以连接16台具备网络传输功能的摄像头．这对于大部分的家庭而言都绰绰有余。240GB的海量硬盘为其全天候的录制工作提供了足够的存储空间。更妙的是．它还能将录制的视频信息分7路输出到指定的显示终端上．无论是在花园修建花草的爷爷奶奶还是在书房忙碌的爸爸．在厨房调制美味的妈妈．都能够随时看到婴儿房里自己疼爱的宝宝在干啥。

独家试用：Archos——AV320 Recorder

Archos AV320 Recorder是一款非常优秀的产品，提供的功能也相当的实用和有趣。当然，是否被消费者所接受，还是得看消费者对这些功能是否感兴趣。

Chrysosplenium fallax Koldaeva(Chrysosplenium),a newly recorded species from China

Chrysosplenium fallax Koldaeva,recently discovered and collected in Yanji,Jilin Province,repre-sents a newly recorded species of Saxifragaceae in China.This species,native to the Russian Far East,was first described as a new species in 2021.Based on precise field investigations and specimen examination,we provide a comprehensive description of C.fallax and its seed micromorphology.Phylogenetic analysis based on chloroplast genomes of 45 Chrysosplenium species confirmed the systematic position of C.fallax in Chrysosplenium.Voucher specimens were deposited in the Herbarium of South-Central Minzu University(HSN).

Three new records of lycopsids and ferns from Vietnam

Three new records from Vietnam,Phlegmariurus guangdongensis Ching,Adiantum longzhouensis A.H.Wang,F.G.Wang&F.W.Xing,and Lepisorus bicolor Ching,are reported.The identification characteristics,information of specimen,and geographical distribution of the species are described.The discovery of new records not only enriches the study of plant diversity in Vietnam,but also provides important information for biodiversity conservation and botanical research in the region.The voucher specimens are kept in the Herbarium of Kunming Institute of Botany,Chinese Academy of Sciences(KUN),Herbarium of Institute of Botany,Chinese Academy of Sciences(PE)and Herbarium of Guangxi Forestry Research Institute(GXFI).

SHORT—TIME DYNAMIC ELECTROCARDIOGRAM RECORDER

This paper presents a single-chip microcomputer-based short-time dynamicelectrocardiogram recorder.The recorder has the advantages of simple construction,low price and low power consumption.It can record thirty-two segments of the ECGsingals personally and automatically on time hourly.One segment is twenty secondslong,and the first ten seconds are prerecording.The rcorded ECG singals can be re-played by electrocardiogram machine and oscillograph for doctors to analyse and di-agnose.

录制网上美妙的声音——Okoker Easy Recorder

如今，网上各种资源异常丰富，在欣赏各种在线视频、Flash动画、网络电台时，有时我们会听到非常美妙的声音，那么有没有办法将这些声音提取出来呢？答案是肯定的，我们借助Okoker Easy RecorderEP可录制各种声音。该软件可以录制声卡的声音，比如麦克风、line-in输入、internet流媒体、winamp、媒体播放器、Quicktime、Powerdvd、Realplayer、Flash等，只要点击主界面上的“Record”按钮即可开始录音，录制完毕后，你可以为录制的声音文件加上特效，具体操作是点击“Edit”按钮进行编辑，可以对声音文件进行剪辑、添加各种特效。

Machine learning for carbonate formation drilling: Mud loss prediction using seismic attributes and mud loss records

Due to the complexity and variability of carbonate formation leakage zones, lost circulation prediction and control is one of the major challenges of carbonate drilling. It raises well-control risks and production expenses. This research utilizes the H oilfield as an example, employs seismic features to analyze mud loss prediction, and produces a complete set of pre-drilling mud loss prediction solutions. Firstly, 16seismic attributes are calculated based on the post-stack seismic data, and the mud loss rate per unit footage is specified. The sample set is constructed by extracting each attribute from the seismic trace surrounding 15 typical wells, with a ratio of 8:2 between the training set and the test set. With the calibration results for mud loss rate per unit footage, the nonlinear mapping relationship between seismic attributes and mud loss rate per unit size is established using the mixed density network model.Then, the influence of the number of sub-Gausses and the uncertainty coefficient on the model's prediction is evaluated. Finally, the model is used in conjunction with downhole drilling conditions to assess the risk of mud loss in various layers and along the wellbore trajectory. The study demonstrates that the mean relative errors of the model for training data and test data are 6.9% and 7.5%, respectively, and that R2is 90% and 88%, respectively, for training data and test data. The accuracy and efficacy of mud loss prediction may be greatly enhanced by combining 16 seismic attributes with the mud loss rate per unit footage and applying machine learning methods. The mud loss prediction model based on the MDN model can not only predict the mud loss rate but also objectively evaluate the prediction based on the quality of the data and the model.