Wavelength calibration and spectral analysis of vacuum ultraviolet spectroscopy in EAST

A vacuum ultraviolet(VUV)spectroscopy with a focal length of 1 m has been engineered specifically for observing edge impurity emissions in Experimental Advanced Superconducting Tokamak(EAST).In this study,wavelength calibration for the VUV spectroscopy is achieved utilizing a zinc lamp.The grating angle and charge-coupled device(CCD)position are carefully calibrated for different wavelength positions.The wavelength calibration of the VUV spectroscopy is crucial for improving the accuracy of impurity spectral data,and is required to identify more impurity spectral lines for impurity transport research.Impurity spectra of EAST plasmas have also been obtained in the wavelength range of 50–300 nm with relatively high spectral resolution.It is found that the impurity emissions in the edge region are still dominated by low-Z impurities,such as carbon,oxygen,and nitrogen,albeit with the application of fulltungsten divertors on the EAST tokamak.

Cut-off value of glycated hemoglobin A1c for detecting diabetic retinopathy in the Chinese population

BACKGROUND Glycated hemoglobin A1c(HbA1c)is considered the most suitable for diabetes mellitus diagnosis due to its accuracy and convenience.However,the effect of HbA1c on diabetic retinopathy(DR)in the Han and Korean populations in Jilin,China,remains inconclusive.AIM To determine the best cut-off of HbA1c for diagnosing DR among the Chinese.METHODS This cross-sectional study included 1933 participants from the Yanbian area of Jilin Province,China.Trained investigators employed a questionnaire-based survey,physical examination,laboratory tests,and fundus photography for the investigation.The best cut-off value for HbA1c was established via the receiver operating characteristic curve.The factors associated with HbA1c-associated risk factors were determined via linear regression.RESULTS The analysis included 887 eligible Chinese Han and Korean participants,591 of whom were assigned randomly to the training set and 296 to the validation set.The prevalence of DR was 3.27% in the total population.HbA1c of 6.2% was the best cut-off value in the training set,while it was 5.9% in the validation set.In both Chinese Han and Korean populations,an HbA1c level of 6.2% was the best cut-off value.The optimal cut-off values of fasting blood glucose(FBG)≥7 mmol/L and<7 mmol/L were 8.1% and 6.2% respectively in Han populations,while those in Korean populations were 6.9%and 5.3%,respectively.Age,body mass index,and FBG were determined as the risk factors impacting HbA1c levels.CONCLUSION HbA1c may serve as a useful diagnostic indicator for DR.An HbA1c level of 6.2% may be an appropriate cut-off value for DR detection in the Chinese population.

Subseasonal Prediction of Early-summer Northeast Asian Cut-off Lows by BCC-CSM2-HR and GloSea5

Northeast Asian cut-off lows are crucial cyclonic systems that can bring temperature and precipitation extremes over large areas.Skillful subseasonal forecasting of Northeast Asian cut-off lows is of great importance.Using two dynamical forecasting systems,one from the Beijing Climate Center(BCC-CSM2-HR)and the other from the Met Office(GloSea5),this study assesses simulation ability and subseasonal prediction skill for early-summer Northeast Asian cut-off lows.Both models are shown to have good ability in representing the spatial structure of cut-off lows,but they underestimate the intensity.The skillful prediction time scales for cut-off low intensity are about 10.2 days for BCC-CSM2-HR and 11.4 days for GloSea5 in advance.Further examination shows that both models can essentially capture the initial Rossby wave train,rapid growth and decay processes responsible for the evolution of cut-off lows,but the models show weaker amplitudes for the three-stage processes.The underestimated simulated strength of both the Eurasian midlatitude and East Asian subtropical jets may lead to the weaker local eddy-mean flow interaction responsible for the cut-off low evolution.

Performance of phase-matching quantum key distribution based on wavelength division multiplexing technology

Quantum key distribution(QKD) generates information-theoretical secure keys between two parties based on the physical laws of quantum mechanics. The phase-matching(PM) QKD protocol allows the key rate to break the quantum channel secret key capacity limit without quantum repeaters, and the security of the protocol is demonstrated by using equivalent entanglement. In this paper, the wavelength division multiplexing(WDM) technique is applied to the PM-QKD protocol considering the effect of crosstalk noise on the secret key rate. The performance of PM-QKD protocol based on WDM with the influence of adjacent classical channels and Raman scattering is analyzed by numerical simulations to maximize the total secret key rate of the QKD, providing a reference for future implementations of QKD based on WDM techniques.

A new DRIE cut-off material in SOG MEMS process

The silicon on glasses process is a common preparation method of micro-electro-mechanical system inertial devices,which can realize the processing of thick silicon structures.This paper proposes that indium tin oxides(ITO)film can serve as a deep silicon etching cut-off layer because ITO is less damaged under the attack of fluoride ions.ITO has good electrical conductivity and can absorb fluoride ions for silicon etching and reduce the reflection of fluoride ions,thus reducing the foot effect.The removal and release of ITO use an acidic solution,which does not damage the silicon structure.Therefore,the selection of the sacrificial layer has an excellent effect in maintaining the shape of the MEMS structure.This method is used in the preparation of MEMS accelerometers with a structure thickness of 100μm and a feature size of 4μm.The over-etching of the bottom of the silicon structure caused by the foot effect is negligible.The difference between the simulated value and the designed value of the device characteristic frequency is less than 5%.This indicates that ITO is an excellent deep silicon etch stopper material.

Experimental Study on the Wavelengths of Two-Dimensional and Three-Dimensional Freak Waves

Freak waves are commonly characterized by strong-nonlinearity, and the wave steepness, which is calculated from the wavelength, is a measure of the degree of the wave nonlinearity. Moreover, the wavelength can describe the locally spatial characteristics of freak waves. Generally, the wavelengths of freak waves are estimated from the dispersion relations of Stokes waves. This paper concerns whether this approach enables a consistent estimate of the wavelength of freak waves. The two-(unidirectional, long-crested) and three-dimensional(multidirectional, shortcrested) freak waves are simulated experimentally through the dispersive and directional focusing of component waves, and the wavelengths obtained from the surface elevations measured by the wave gauge array are compared with the results from the linear, 3rd-order and 5th-order Stokes wave theories. The comparison results suggest that the 3rd-order theory estimates the wavelengths of freak waves with higher accuracy than the linear and 5th-order theories. Furthermore, the results allow insights into the dominant factors. It is particularly noteworthy that the accuracy is likely to depend on the wave period, and that the wavelengths of longer period freak waves are overestimated but the wavelengths are underestimated for shorter period ones. In order to decrease the deviation, a modified formulation is presented to predict the wavelengths of two-and three-dimensional freak waves more accurately than the 3rd-order dispersion relation, by regression analysis. The normalized differences between the predicted and experimental results are over 50% smaller for the modified model suggested in this study compared with the 3rd-order dispersion relation.

Long wavelength interband cascade photodetector with type Ⅱ InAs/GaSb superlattice absorber

We report on a long wavelength interband cascade photodetector with type Ⅱ InAs/GaSb superlattice absorber.The device is a three-stage interband cascade structure.At 77 K,the 50%cutoff wavelength of the detector is 8.48μm and the peak photoresponse wavelength is 7.78μm.The peak responsivity is 0.93 A/W and the detectivity D*is 1.12×10^(11)cm·Hz0.5/W for 7.78μm at-0.20 V.The detector can operate up to about 260 K.At 260 K,the 50%cutoff wavelength is 11.52μm,the peak responsivity is 0.78 A/W and the D*is 5.02×10^(8)cm·Hz0.5/W for the peak wavelength of 10.39μm at-2.75 V.The dark current of the device is dominated by the diffusion current under both a small bias voltage of-0.2 V and a large one of-2.75 V for the temperature range of 120 to 260 K.

Application of Wavelength Selection Combined with DS Algorithm for Model Transfer between NIR Instruments

This study aims to realize the sharing of near-infrared analysis models of lignin and holocellulose content in pulp wood on two different batches of spectrometers and proposes a combined algorithm of SPA-DS,MCUVE-DS and SiPLS-DS.The Successive Projection Algorithm(SPA),the Monte-Carlo of Uninformative Variable Elimination(MCUVE)and the Synergy Interval Partial Least Squares(SiPLS)algorithms are respectively used to reduce the adverse effects of redundant information in the transmission process of the full spectrum DS algorithm model.These three algorithms can improve model transfer accuracy and efficiency and reduce the manpower and material consumption required for modeling.These results show that the modeling effects of the characteristic wavelengths screened by the SPA,MCUVE and SiPLS algorithms are all greatly improved compared with the full-spectrum modeling,in which the SPA-PLS result in the best prediction with RPDs above 6.5 for both components.The three wavelength selection methods combined with the DS algorithm are used to transfer the models of the two instruments.Among them,the MCUVE combined with the DS algorithm has the best transfer effect.After the model transfer,the RMSEP of lignin is 0.701,and the RMSEP of holocellulose is 0.839,which was improved significantly than the full-spectrum model transfer of 0.759 and 0.918.

Multifractal estimation of NMR T_(2) cut-off value in low-permeability rocks considering spectrum kurtosis: SMOTE-based oversampling integrated with machine learning

The transverse relaxation time (T_(2)) cut-off value plays a crucial role in nuclear magnetic resonance for identifying movable and immovable boundaries, evaluating permeability, and determining fluid saturation in petrophysical characterization of petroleum reservoirs. This study focuses on the systematic analysis of T_(2) spectra and T_(2) cut-off values in low-permeability reservoir rocks. Analysis of 36 low-permeability cores revealed a wide distribution of T_(2) cut-off values, ranging from 7 to 50 ms. Additionally, the T_(2) spectra exhibited multimodal characteristics, predominantly displaying unimodal and bimodal morphologies, with a few trimodal morphologies, which are inherently influenced by different pore types. Fractal characteristics of pore structure in fully water-saturated cores were captured through the T_(2) spectra, which were calculated using generalized fractal and multifractal theories. To augment the limited dataset of 36 cores, the synthetic minority oversampling technique was employed. Models for evaluating the T_(2) cut-off value were separately developed based on the classified T_(2) spectra, considering the number of peaks, and utilizing generalized fractal dimensions at the weight <0 and the singular intensity range. The underlying mechanism is that the singular intensity and generalized fractal dimensions at the weight <0 can detect the T_(2) spectral shift. However, the T_(2) spectral shift has negligible effects on multifractal spectrum function difference and generalized fractal dimensions at the weight >0. The primary objective of this work is to gain insights into the relationship between the kurtosis of the T_(2) spectrum and pore types, as well as to predict the T_(2) cut-off value of low-permeability rocks using machine learning and data augmentation techniques.

Magic wavelengths for 6s_(1/2)→5d_(3/2,5/2)transitions of Yb~+ions

The wave functions,energy levels and matrix elements of Yb+ions are calculated using the relativistic configuration interaction plus core polarization(RCICP)method.The static and dynamic electric dipole polarizabilities of the ground state and low-lying excited states are determined.Then,the magic wavelengths of the magnetic sublevel 6s_(1/2,m=1/2)→5d_(3/2,m=±3/2,±1/2)and 6s_(1/2,m=1/2)→5_(d5/2,m=±5/2,±3/2,±1/2)transitions in the linearly,right-handed,and left-handed polarized light are further determined.The dependence of the magic wavelengths upon the angle between the direction of magnetic field and the direction of laser polarization is analyzed.

Wavelength-tunable organic semiconductor lasers based on elastic distributed feedback gratings

Wavelength-tunable organic semiconductor lasers based on mechanically stretchable polydimethylsiloxane (PDMS) gratings were developed. The intrinsic stretchability of PDMS was explored to modulate the period of the distributed feedback gratings for fine tuning the lasing wavelength. Notably, elastic lasers based on three typical light-emitting molecules show com-parable lasing threshold values analogous to rigid devices and a continuous wavelength tunability of about 10 nm by mechanic-al stretching. In addition, the stretchability provides a simple solution for dynamically tuning the lasing wavelength in a spec-tral range that is challenging to achieve for inorganic counterparts. Our work has provided a simple and efficient method of fab-ricating tunable organic lasers that depend on stretchable distributed feedback gratings, demonstrating a significant step in the advancement of flexible organic optoelectronic devices.

Bee Colony Optimization Algorithm for Routing and Wavelength Assignment Based on Directional Guidance in Satellite Optical Networks

With the development of satellite communication,in order to solve the problems of shortage of on-board resources and refinement of delay requirements to improve the communication performance of satellite optical networks,this paper proposes a bee colony optimization algorithm for routing and wavelength assignment based on directional guidance(DBCO-RWA)in satellite optical networks.In D-BCORWA,directional guidance based on relative position and link load is defined,and then the link cost function in the path search stage is established based on the directional guidance factor.Finally,feasible solutions are expanded in the global optimization stage.The wavelength utilization,communication success probability,blocking rate,communication hops and convergence characteristic are simulated.The results show that the performance of the proposed algorithm is improved compared with existing algorithms.

Lipoprotein (a) Cut-Off in Chronic Kidney Disease Patients with a History of Cardiovascular Disease in Center Hospital University Souro SANOU, Burkina Faso

Patients living with chronic kidney disease (CKD) are at high risk of cardiovascular events. Our aim in this study was to assess the cut-off value for lipoprotein (a) (Lp(a)) in CKD patients with a history of cardiovascular disease (CVD). This was a cross-sectional study. Variables including age, sex, history of CVD, body mass index and CKD stage, were collected during CKD patient’s first admission in the nephrology dialysis department. Blood samples were collected for quantitative determination of Lp(a) by immunoturbidimetric method. They were divided into two groups: CKD patients without history of CVD and CKD patients with history of CVD. Fisher’s exact test was used to assess associations with a significance level of 0.05%. Area under the curve (AUC) and new cut-off value for Lp(a) were identified by drawing Receiver Operating Characteristic (ROC) curve. A total of seventy CKD patients with median age of 43 years [minimum-maximum = 15 - 78 years] were included. Patients with history of CVD were 65.71% (46/70). New Lp(a) cut-off point in CKD patients with history of CVD was 66.50 nmol/L [sensitivity, 87.00%;specificity, 58.30%;AUC = 0.727;p = 0.000]. ROC curve demonstrated good performance of Lp(a) to screen CKD patients with history of CVD. Further research is needed to determine an LPA gene polymorphism’s contribution to increasing risk for CVD at each kidney disease stage.

应用高光谱图像技术对林下作物质量等级鉴别方法——以黄芪为例

黄芪作为一种林下多年生草本,具有极高的经济和药用价值。黄芪粉是黄芪的重要消费形式,不同质量等级的黄芪粉由于内部成分差异,在近红外光谱下具有不同的特性,而肉眼却难以区分。针对不同质量等级间黄芪粉难以鉴别的问题,利用高光谱成像技术对312组黄芪粉样本进行数据采集,再对光谱信息采用标准正态变化(SNV)、多元散射校正(MSC)和卷积平滑(SG)3种预处理,再利用竞争性自适应重加权采样(CARS)、变量组合集群分析(VCPA)和区间变量迭代空间收缩法(IVISSA)对全波段光谱进行特征提取,以优选的特征波长作为输入,建立K-近邻判别(KNN)和支持向量机(SVM)分类模型。结果表明:经过竞争性自适应重加权采样的支持向量机模型分类效果最好,训练集和测试集准确率分别达到100.00%和98.94%,能够实现黄芪粉的准确分类,为林下作物的等级鉴别提供了新的研究思路。

X射线荧光光谱(XRF)法测定喀斯特地区土壤样品中Al_(2)O_(3)、CaO、Fe_(2)O_(3)、K_(2)O、MgO、SiO_(2)含量

为揭示喀斯特地区不同自然环境下土壤的相似性和差异性,为后续喀斯特石漠化治理和植被恢复提供科学依据,利用微晶纤维素作为粘结剂,采用粉末样品压片制样,使用波长色散X射线荧光光谱法建立了同时测定喀斯特地区碳酸盐、硅酸盐土壤样品中关键成分Al_(2)O_(3)、CaO、Fe_(2)O_(3)、K_(2)O、MgO、SiO_(2)含量的方法。从粘结剂对压片效果的影响,粘结剂添加比例对元素含量检测结果的影响,Al_(2)O_(3)、CaO、Fe_(2)O_(3)、K_(2)O、MgO、SiO_(2)的测量参数分析线,分析晶体、基体效应和谱线重叠干扰等方面进行了方法参数确认。根据优化的参数,使用49个土壤标准物质绘制校准曲线建立了检测方法。结果表明,利用新建方法进行Al_(2)O_(3)、CaO、Fe_(2)O_(3)、K_(2)O、MgO、SiO_(2)检测,检出限多在61.0 mg/kg以下,相对标准偏差(RSD,n=6)为0~3.7%,同时,利用新建方法对采自喀斯特地区不同类型的土壤样品进行检测,Al_(2)O_(3)、CaO、Fe_(2)O_(3)、K_(2)O、MgO、SiO_(2)均可被检出。方法具有操作简便、快速、准确的优点,可同时检测喀斯特地区碳酸盐、硅酸盐土壤样品中Al_(2)O_(3)、CaO、Fe_(2)O_(3)、K_(2)O、MgO、SiO_(2)含量。

紫外可见波长溶液标准物质的研制

以紫外可见区无吸收的高氯酸溶液作为空白基体,利用稀土元素钬和钕在紫外可见光区丰富的光谱特征吸收,研制一种可以覆盖200~900nm的紫外可见区的波长溶液标准物质。采用对峰值点附近进行3次样条插值进行数据处理,并以插值后的峰值数据作为峰值波长,分辨力可到小数点后两位。经过均匀性和稳定性检验,由9家实验室采用高精度紫外可见分光光度计对该标准物质进行协同定值,并进行不确定度评定。结果表明,该标准物质均匀性良好,在25℃下保存稳定性在1年以上。该标准物质可应用于光谱光度测量仪器的波长校准和期间核查等。

双波长光度法测定热处理橡胶木中支链淀粉和直链淀粉的含量

橡胶木中直链淀粉和支链淀粉的组成比例直接影响淀粉的化学特性,橡胶木热处理过程中,淀粉发生不同程度热降解影响其比例发生变化,分析其含量变化将为热处理橡胶木热解机制研究提供理论基础.研究采用单因素法优化了提取方法参数,并建立了双波长光度法检测橡胶木中直链淀粉和支链淀粉含量的定量分析方法,检验了该分析方法的精密度、稳定性和加标回收率.结果表明,直链淀粉和支链淀粉的标准曲线方程分别为y=0.02499x-0.1136和y=0.00159x-0.0005,其回归系数R^(2)均为0.998,方法前处理样品简便、快速,分析方法稳定性好、灵敏度高,回收率稳定,适用于橡胶木中直链淀粉和支链淀粉含量的定量分析.分析比较了橡胶木素材及不同温度(125、155、185℃)热处理橡胶木中直链淀粉和支链淀粉的含量,橡胶木素材中支链淀粉含量远高于直链淀粉,质量比约为8∶1.随着热处理温度升高至155℃,直链淀粉含量出现明显下降,而温度升高至185℃,支链淀粉含量出现明显下降趋势.

基于DBR增强的850 nm GaAs/AlGaAs单行载流子光电探测器

高速850 nm GaAs/AlGaAs面入射型单行载流子光电探测器(PD)是短距离光链路中的重要器件,面临着带宽和响应度之间的相互矛盾。报道了一种基于分布布拉格反射器(DBR)增强的GaAs/AlGaAs单行载流子光电探测器(UTC-PD)。DBR由20个周期的高/低Al组分的Al_(x)Ga_(1-x)As三元合金组成,可以在830~870 nm范围内形成大于0.9的反射。在AlGaAs DBR的增强下,将GaAs吸收层所需的厚度降低到1 040 nm,兼顾PD对光的吸收率和光生载流子的渡越时间。采用双台面、聚合物平面化、共面波导电极结构制作了UTC-PD器件。该器件在850 nm波长、-2 V偏压下具有19.26 GHz的-3 dB带宽和0.492 6 A/W的响应度。

96份谷子种质资源淀粉多样性及优异资源鉴选利用

采用双波长微量法对国内有代表性的96份谷子种质资源的直链淀粉和支链淀粉含量进行了测定,分析其淀粉多样性与直/支比变异类型。结果表明,各品种直链淀粉含量介于0~24.91%,平均值为15.66%,支链淀粉含量介于4.77%~34.26%,平均值为14.67%;44份育成品种和52份地方品种直链淀粉含量变化幅度分别为8.66%~21.81%和0~24.91%;96份谷子的直/支比变化范围为0~3.60,平均为1.18,其中直/支比<0.05的地方品种仅2个,而直/支比>0.33的品种93个,占总数的96.87%。直链淀粉含量小于3.5%的糯性品种3个,其中完全糯性品种2个;高直链淀粉品种4个,直链淀粉含量介于12.0%~18.0%的种质有60份,占总数的62.50%。筛选出适合加工糍粑、汤圆类糯质食品的地方品种3个,为红毛谷、三爪谷和酒谷;可用于加工米粉等高膳食纤维的地方品种4个,分别为金皇谷、金棒子、茄谷和山西白米。96份谷子种质资源中地方品种直链淀粉变异类型较为丰富,育成品种直链淀粉遗传基础相对单一。

基于快照式多光谱特征波长的小球藻叶黄素产量快速测定

叶黄素是天然的抗氧化剂,对人体健康有多种益处,异养小球藻具有叶黄素纯度和产量均较高的优势,而小球藻叶黄素产量主要取决于生物质产量和叶黄素含量两个因素。传统的光密度法测生物质产量和高效液相色谱法测叶黄素含量存在操作复杂、时效性低等不足。为了快速、无损测定小球藻生长过程中叶黄素含量变化,搭建可见-近红外双模式快照式多光谱成像检测系统,根据光谱响应区域,分别利用可见光相机获取叶黄素光谱信息,近红外相机获取生物质光谱信息,构建含有生物质量和叶黄素含量信息的可见-近红外双模式多光谱数据集。针对系统所使用的快照式多光谱相机光谱范围宽、波长数量少的特征波长选取问题,提出一种结合序列浮动前向选择的改进型连续投影算法(mSPA);将mSPA与常规的连续投影算法、遗传算法及随机蛙跳三种波长选择算法作对比分析后,构建了基于特征波长的多元线性回归和极限学习机模型;最后,利用生物质产量和叶黄素含量的最佳预测模型生成小球藻叶黄素产量的可视化分布图。结果表明,在利用近红外、可见光相机分别检测小球藻生物质、叶黄素量时,mSPA得到的特征波长数均较少,并具有最高的预测精度。生物质量与叶黄素含量的最佳模型均为mSPA筛选特征波长后建立的极限学习机模型,对应的预测集决定系数分别为0.947和0.907,预测集均方根误差分别为0.698 g·L^(-1)和0.077 mg·g^(-1),剩余预测偏差分别为3.535和3.338,模型的预测能力较好。可视化分布实现了直观监测小球藻叶黄素产量的变化,有助于后续实际生产中在线检测叶黄素产量。mSPA在快照式多光谱检测小球藻生物质含量及叶黄素含量中,通过对排序波长逐个评估以选择出最佳特征波长组合,有效地避免了特征波长的错选、漏选,提高了模型的预测精度,为快照式多光谱成像技术应用提供新的波长选择思路。