Measurement of Ca^(2+) Flow in Cochlear Cells Using Non-Invasive Micro-Test Technique

Objective To test Calcium ion(Ca2+) flow at the head and end of outer hair cells(OHCs) in resting state and in response to Nimodipine treatment.Methods Non-invasive micro-test techniques were used to study Ca2+ in isolated OHCs in adult guinea pigs.Results Four types of Ca2+ transport were identified in OHCs on basilar membrane tissue fragments:influx at the head of with efflux at the bottom(type 1):efflux at the head of OHCs with influx at the bottom(type 2);influx at the both head and bottom(type 3);and efflux at the both head and bottom(type 4).However,only type 1 and type 3 of Ca2+ ion transport were detected in the cochlea.We propose that Ca2+ ion transport exists in adult guinea pig cochlear OHCs in resting state and is variable.Ca2 + flow in OHC can be inhibited by Nimodipine in resting state.

An Example of Multiplane Balancing Techniques in Situ

This paper presents the dynamic motion response by rotor unbalance malfunctions and the restraints available to oppose these applied forces and corrective techniques that can be used to reduce the effects of mass unbalance.The mass unbalance is the most common and frequent anomaly in rotating machines,and therefore,although there are many computer programs that solve many cases,we believe it is important to remember his theory here.About this subject should techniques for correcting unbalance problems described in this document be applied.And,more importantly,a tape is made without disassembling the machine,if the transducers described in this work are installed.

Correction of failure in antenna array using matrix pencil technique

In this paper a non-iterative technique is developed for the correction of faulty antenna array based on matrix pencil technique（MPT）. The failure of a sensor in antenna array can damage the radiation power pattern in terms of sidelobes level and nulls. In the developed technique, the radiation pattern of the array is sampled to form discrete power pattern information set. Then this information set can be arranged in the form of Hankel matrix（HM） and execute the singular value decomposition（SVD）. By removing nonprincipal values, we obtain an optimum lower rank estimation of HM. This lower rank matrix corresponds to the corrected pattern. Then the proposed technique is employed to recover the weight excitation and position allocations from the estimated matrix. Numerical simulations confirm the efficiency of the proposed technique, which is compared with the available techniques in terms of sidelobes level and nulls.

A Correction Approach to the Common Pb Contribution to ^(207)Pb/^(206)Pb Ratios Obtained by the Zircon Evaporation Technique

An approach is recommended for the correction of common Pb contribution to \{\{\}\+\{207\}Pb\}/\{\{\}\+\{206\}Pb\} ages obtained by the zircon evaporation technique. A comparison with that by Cocherie et al. (1992) shows that two approaches yield similar results in the \{\{\}\+\{207\}Pb\}*/\{\{\}\+\{206\}Pb\}* ratios. But when using the new approach, only two errors of the measured \{\{\}\+\{204\}Pb\}/\{\{\}\+\{206\}Pb\} and \{\{\}\+\{207\}Pb\}/\{\{\}\+\{206\}Pb\} ratios are introduced to the calculated \{\{\}\+\{207\}Pb\+*\}/\{\{\}\+\{206\}Pb\+*\} ratios.

Non-Invasive Early Diagnosis of Obstructive Lung Diseases Leveraging Machine Learning Algorithms

Lungs are a vital human body organ,and different Obstructive Lung Diseases(OLD)such as asthma,bronchitis,or lung cancer are caused by shortcomings within the lungs.Therefore,early diagnosis of OLD is crucial for such patients suffering from OLD since,after early diagnosis,breathing exercises and medical precautions can effectively improve their health state.A secure non-invasive early diagnosis of OLD is a primordial need,and in this context,digital image processing supported by Artificial Intelligence(AI)techniques is reliable and widely used in the medical field,especially for improving early disease diagnosis.Hence,this article presents an AIbased non-invasive and secured diagnosis for OLD using physiological and iris features.This research work implements different machine-learning-based techniques which classify various subjects,which are healthy and effective patients.The iris features include gray-level run-length matrix-based features,gray-level co-occurrence matrix,and statistical features.These features are extracted from iris images.Additionally,ten different classifiers and voting techniques,including hard and soft voting,are implemented and tested,and their performances are evaluated using several parameters,which are precision,accuracy,specificity,F-score,and sensitivity.Based on the statistical analysis,it is concluded that the proposed approach offers promising techniques for the non-invasive early diagnosis of OLD with an accuracy of 97.6%.

Bias Correction Technique for Estimating Quantiles of Finite Populations under Simple Random Sampling without Replacement

In this paper, the problem of nonparametric estimation of finite population quantile function using multiplicative bias correction technique is considered. A robust estimator of the finite population quantile function based on multiplicative bias correction is derived with the aid of a super population model. Most studies have concentrated on kernel smoothers in the estimation of regression functions. This technique has also been applied to various methods of non-parametric estimation of the finite population quantile already under review. A major problem with the use of nonparametric kernel-based regression over a finite interval, such as the estimation of finite population quantities, is bias at boundary points. By correcting the boundary problems associated with previous model-based estimators, the multiplicative bias corrected estimator produced better results in estimating the finite population quantile function. Furthermore, the asymptotic behavior of the proposed estimators is presented. It is observed that the estimator is asymptotically unbiased and statistically consistent when certain conditions are satisfied. The simulation results show that the suggested estimator is quite well in terms of relative bias, mean squared error, and relative root mean error. As a result, the multiplicative bias corrected estimator is strongly suggested for survey sampling estimation of the finite population quantile function.

Investigation of Current Control Techniques of AC-DC Interleaved Boost PFC Converter

This paper presents the comparison of various current control strategies employed for an interleaved power factor correction (PFC) boost converter for improving the power quality. The major control strategies discussed in this paper are: peak current control, average current control, hysteresis control, borderline current control and non-linear control. These strategies are implemented in MATLAB/SIMULINK and the performance of the proposed converter is compared under open loop and closed loop operation. From the results, the input current waveform was close to input voltage waveform implying improved power factor and reduced total harmonic distortion for nonlinear current control technique. Experimental results validate the proposed method.

Utilization of edge-to-edge valve plastic technique to correct severe tricuspid regurgitation in patients with congenital heart disease

Objective Tricuspid regurgitation is often associated in patients with congenital heart disease. Significant morbidity and mortality are related to tricuspid valve replacement. Tricuspid valve plasty is still a preferred choice. This report deals with our surgical experience in using edge-to-edge valve plasty technique to correct severe

舌侧活动翼不同翼拉伸长度内收下前牙的生物力学特征

背景:舌侧活动翼矫治技术是一种新型舌侧矫治技术,不同翼的拉伸长度影响前牙转矩控制效果,目前尚无相关的生物力学研究。目的:探讨舌侧活动翼矫治技术内收下前牙时牙列的位移趋势以及不同翼拉伸长度对下颌前牙生物力学效应的影响。方法:利用锥形束CT采集患者下颌骨以及下牙列数据信息,通过Mimics软件进行三维重建,建立舌侧活动翼内收下前牙的三维有限元模型。在ANSYS软件中分别分析工况A(2 mm拉伸长度)、工况B(2.5 mm拉伸长度)、工况C(3 mm拉伸长度)和工况D(3.5 mm拉伸长度)时下颌前牙的初始位移。结果与结论:①下牙列初始位移趋势:中切牙舌向倾斜移动伴有压低,侧切牙、尖牙轻度舌侧移动伴近中舌向扭转,第二前磨牙远中倾斜并伴有明显舌倾,第一磨牙整体表现为近中倾斜并伴有近中牙冠外翻。因此在下颌拔牙内收病例中,对第二前磨牙的舌向移动应给予重视,临床中可以通过相应的技术予以抵消。②前牙各方向位移趋势:从工况A到工况D,矢状方向:中切牙冠根位移差值由-11.891μm变为-5.7574μm,表示中切牙由倾斜移动向整体移动转变;侧切牙冠根位移差值由-11.8281μm变为-6.71145μm,尖牙冠根位移差值由-7.5723μm变为-4.6955μm,表示侧切牙及尖牙的倾斜移动也在向整体移动转变。垂直方向:从工况A到工况D,切牙的压低量逐渐增大,尖牙的压低量逐渐减小。结果表明,翼的拉伸长度会影响前牙的倾斜移动趋势;随着翼的不断拉伸,下前牙的转矩控制效果越好。

考虑碾压参数影响的压实质量连续检测结果修正研究

为降低压路机行驶速度、行驶方向、振动频率等碾压参数引起的压实质量连续检测结果CMV误差,以动态变形模量E_(vd)为修正目标,基于极限梯度提升XGBoost算法和多元线性回归方法分别建立CMV修正模型,对比修正模型的适用性,并分析各碾压参数对CMV误差的影响。研究表明,XGBoost修正结果与E_(vd)的相关系数高达0.8且误差仅为1.7%,而多元线性回归修正结果与E_(vd)的相关系数仅为0.65且误差高达9.2%,XGBoost修正模型更适用于降低由碾压参数引起的CMV检测误差。高速行驶会造成CMV存在显著的负误差,行驶方向的不同使CMV产生大小相当但正负相反的误差,振动频率对CMV误差的影响是非线性的且与频率的取值有关。最后根据现场压实检测数据的修正结果验证了XGBoost修正模型对降低CMV检测误差的可靠性。

一测多评法测定法制半夏曲中11种成分含量及其GRA、EW-TOPSIS质量评价

目的采用一测多评(QAMS)法同时测定法制半夏曲中肌苷、鸟苷、腺苷等11种成分含量,并建立其灰色关联度分析(GRA)联合熵权逼近理想解排序分析法(EW-TOPSIS)综合质量评价方法。方法采用Shimadzu C 18色谱柱;乙腈-0.5%醋酸为流动相,梯度洗脱,流速1.0 mL·min-1;检测波长254和290 nm。以对甲氧基肉桂酸乙酯为内参比物质,计算其他10个成分的相对校正因子(RCF),测定各成分含量。采用GRA联合EW-TOPSIS模型对法制半夏曲进行综合质量评价。结果法制半夏曲中11种成分在一定浓度范围内线性关系良好,相关系数均>0.999;平均加样回收率96.94%~100.12%(RSD<2.0%,n=9);QAMS与外标法(ESM)实测值无明显差异。GRA模型相对关联度0.2903~0.6187,EW-TOPSIS模型相对接近度0.2114~0.6343;GRA和EW-TOPSIS模型综合评价结果基本一致。结论QAMS法便捷、准确,可用于法制半夏曲多指标成分定量控制,GRA联合EW-TOPSIS模型可用于法制半夏曲综合质量评价。

无托槽隐形矫治技术在口腔正畸治疗中的应用效果分析

目的分析无托槽隐形矫治技术在口腔正畸治疗中的应用效果。方法选取2020年10月至2021年10月行口腔正畸治疗的120例患者,随机分为研究组(n=60)和对照组(n=60)。对照组采用传统固定矫正技术,研究组采用无托槽隐形矫治技术,比较两组的矫正效果、牙齿美观度及口腔功能。结果研究组矫正优良率为96.67%,明显高于对照组的78.33%(P<0.05)。矫正后,两组患者牙齿外观、牙齿整齐度评分均升高,研究组牙齿外观、牙齿整齐度评分高于对照组(P<0.05)。矫正后,两组的咬合力均升高,且研究组咬合力高于对照组(P<0.05)。结论无托槽隐形矫治技术在口腔正畸治疗中能够明显提升矫正效果,提高患者牙齿美观度,改善患者口腔功能。

联合光度立体视觉和图像校正的磨粒三维形貌重建

分析铁谱技术在机械装备磨损状态检测中发挥了重要作用,但其仅能提供磨粒二维图像,导致磨粒形貌信息不足。为实现磨粒三维形貌的精确重建,联合光度立体视觉和图像校正,为精确重建磨粒的三维形貌,联合光度立体视觉和图像。该方法首先采用大津阈值法由全光源图像识别磨粒与背景区域;然后为消除LED发光强度差异对磨粒形貌重建的影响,结合平面形状和朗伯反射模型确定背景区域的理想成像亮度,并校正各光度图像序列的亮度;最后根据光度立体视觉方法,由校正后光度图像序列重建磨粒的三维形貌。以不同类型的磨粒为测试样本,将所提出的方法的重建结果与激光共聚焦显微镜的测量结果进行对比。结果表明:重建磨粒的形貌参数误差小于15%,表明提出的方法能够精确重建磨粒的三维形貌。

直丝弓矫正技术治疗替牙期牙齿畸形患儿的效果

目的:观察直丝弓矫正技术治疗替牙期牙齿畸形患儿的效果。方法:选取2020年7月至2022年7月于平顶山市口腔医院接受治疗的76例替牙期牙齿畸形患儿进行前瞻性研究,按随机数字表法将其分为研究组(n=38)和对照组(n=38)。对照组采取不锈钢丝矫正技术治疗,研究组采取直丝弓矫正技术治疗,比较两组临床疗效、治疗前后龈沟液碱性磷酸酶(ALP)水平、咀嚼效率、家长满意度和治疗3个月并发症发生率。结果:研究组治疗总有效率为97.37%(37/38),高于对照组的78.95%(30/38),差异有统计学意义(P<0.05);治疗后,两组龈沟液ALP水平均高于治疗前,但研究组低于对照组,差异有统计学意义(P<0.05);治疗后,两组咀嚼效率均高于治疗前,且研究组高于对照组,差异有统计学意义(P<0.05);研究组整体美观度、牙齿形态、咬合度等家长满意度评分均高于对照组,差异有统计学意义(P<0.05);研究组并发症发生率为5.26%(2/38),低于对照组的23.68%(9/38),差异有统计学意义(P<0.05)。结论:直丝弓矫正技术治疗替牙期牙齿畸形患儿可提高治疗总有效率、咀嚼效率和家长满意度,降低龈沟液ALP水平和并发症发生率,效果优于不锈钢丝矫正技术治疗。

可旋转翼式弹道修正组件滚转控制技术研究

针对可旋转翼式弹道修正组件滚转通道控制中存在的未建模摩擦干扰、参数不确定性和外部随机干扰造成的复合扰动问题,提出一种基于扩张状态观测器(extended state observer, ESO)的滑模控制方法。首先建立弹道修正组件滚转通道模型,将动力学模型中存在的外部干扰、未建模摩擦干扰和参数摄动整合为复合干扰,然后设计ESO对修正组件滚转通道模型中难以直接测定的状态变量以及复合干扰进行估计,并基于估计值结合滑模控制理论设计滚转通道控制器,实现对滚转角指令的精确跟踪。综合考虑ESO和滑模控制器构成的闭环控制系统,利用Lyaponov稳定性理论证明了所设计的闭环控制系统的稳定性。最后,通过仿真实验分析,证明所设计的修正组件滚转通道控制器,对滚转角指令的瞬态响应和稳态性能优异,同时可以有效抑制系统复合扰动,具备较强的鲁棒性。

Simulation of the 3D viscoelastic free surface flow by a parallel corrected particle scheme

In this work, the behavior of the three-dimensional （3D） jet coiling based on the viscoelastic Oldroyd-B model is investigated by a corrected particle scheme, which is named the smoothed particle hydrodynamics with corrected symmetric kernel gradient and shifting particle technique （SPH_CS_SP） method. The accuracy and stability of SPH_CS_SP method is first tested by solving Poiseuille flow and Taylor-Green flow. Then the capacity for the SPH_CS_SP method to solve the viscoelastic fluid is verified by the polymer flow through a periodic array of cylinders. Moreover, the convergence of the SPH CS_SP method is also investigated. Finally, the proposed method is further applied to the 3D viscoelastic jet coiling problem, and the influences of macroscopic parameters on the jet coiling are discussed. The numerical results show that the SPH_CS_SP method has higher accuracy and better stability than the traditional SPH method and other corrected SPH method, and can improve the tensile instability.

Laboratory Generation of Solitary Waves:An Inversion Technique to Improve Available Methods

Solitary waves are often used in laboratory experiments to study tsunamis propagation and interaction with coasts. However, the experimental shape of the waves may differ from the theoretical one. In this paper, a correction technique aiming at minimizing the discrepancies between the two profiles is presented. Laboratory experiments reveal their effectiveness in correcting the experimental shape of solitary waves, mainly for low nonlinearities.

Digital Self-Calibration Technique Based on 14-Bit SAR ADC

An error correction technique to achieve a 14-bit successive approximation register analog-to-digital converter(SAR ADC) is proposed. A tunable split capacitor is designed to eliminate the mismatches caused by parasitic capacitors. The linearity error of capacitor array caused by process mismatch is calibrated by a novel calibration capacitor array that can improve the sampling rate. The dual-comparator topology ensures both the speed and precision of the ADC. The simulation results show that the SAR ADC after calibration achieves 83.07 dB SNDR and 13.5 bit ENOB at 500 kilosamples/s.

Design-Stage Prediction of Project Correctness or Incorrectness

The success of a software development project requires the early objective determination of the project’s correctness or incorrectness and the identification of the most effective solution for project management. However, few studies have been conducted on the reliable quantitative early judgment of correctness or incorrectness. In recent years, the collection and accumulation of actual attribute data from Japanese domestic software development projects have been conducted by the Software Engineering Centre of the Information-Technology Promotion Agency of Japan. In a previous article, we proposed a precise definition of project correctness or incorrectness and identified the important factors in successful projects;we also proposed a quantitative decision-making method for judging project correctness or incorrectness objectively and quantitatively on the basis of discriminant analysis using project completion attribute data. On the basis of the previous results, we propose a quantitative decision-making technique for the early judging of project correctness or incorrectness based on the attribute data of design stage as early stage of development.

A Regularized Newton Method with Correction for Unconstrained Convex Optimization

In this paper, we present a regularized Newton method (M-RNM) with correction for minimizing a convex function whose Hessian matrices may be singular. At every iteration, not only a RNM step is computed but also two correction steps are computed. We show that if the objective function is LC2, then the method posses globally convergent. Numerical results show that the new algorithm performs very well.