基于时间敏感网络的PTP交换机技术研究

基于时间敏感网络设计的高精度时间同步系统是目前工业互联网、大数据科学等领域的硬件基础之一。由于传统交换机在标记报文时间戳时无法避免网络栈内部的延迟和不确定性,为了实现更高的时间同步精度和稳定性,基于EVB-KSZ9477S PTP交换机并借助OK335xS开发板辅助控制,设计实现了PTP时间同步系统。该系统采用硬件辅助标记报文时间戳,计算消除PTP帧在网络栈内的不确定性误差,通过内部修正,从而实现较高的时间同步精度。结果表明,相较于普通交换机,基于TSN的PTP交换机的时间同步系统可实现±20 ns以内的时间同步精度和更低的抖动,具有良好的时间同步性能。

Push forward LC-MS-based therapeutic drug monitoring and pharmacometabolomics for anti-tuberculosis precision dosing and comprehensive clinical management

The spread of tuberculosis(TB),especially multidrug-resistant TB and extensively drug-resistant TB,has strongly motivated the research and development of new anti-TB drugs.New strategies to facilitate drug combinations,including pharmacokinetics-guided dose optimization and toxicology studies of first-and second-line anti-TB drugs have also been introduced and recommended.Liquid chromatography-mass spectrometry(LC-MS)has arguably become the gold standard in the analysis of both endo-and exo-genous compounds.This technique has been applied successfully not only for therapeutic drug monitoring(TDM)but also for pharmacometabolomics analysis.TDM improves the effectiveness of treatment,reduces adverse drug reactions,and the likelihood of drug resistance development in TB patients by determining dosage regimens that produce concentrations within the therapeutic target window.Based on TDM,the dose would be optimized individually to achieve favorable outcomes.Pharmacometabolomics is essential in generating and validating hypotheses regarding the metabolism of anti-TB drugs,aiding in the discovery of potential biomarkers for TB diagnostics,treatment monitoring,and outcome evaluation.This article highlighted the current progresses in TDM of anti-TB drugs based on LC-MS bioassay in the last two decades.Besides,we discussed the advantages and disadvantages of this technique in practical use.The pressing need for non-invasive sampling approaches and stability studies of anti-TB drugs was highlighted.Lastly,we provided perspectives on the prospects of combining LC-MS-based TDM and pharmacometabolomics with other advanced strategies(pharmacometrics,drug and vaccine developments,machine learning/artificial intelligence,among others)to encapsulate in an all-inclusive approach to improve treatment outcomes of TB patients.

Bronchoalveolar lavage fluid assessment facilitates precision medicine for lung cancer

Lung cancer is the most common and fatal malignant disease worldwide and has the highest mortality rate among tumor-related causes of death.Early diagnosis and precision medicine can significantly improve the survival rate and prognosis of lung cancer patients.At present,the clinical diagnosis of lung cancer is challenging due to a lack of effective non-invasive detection methods and biomarkers,and treatment is primarily hindered by drug resistance and high tumor heterogeneity.Liquid biopsy is a method for detecting circulating biomarkers in the blood and other body fluids containing genetic information from primary tumor tissues.Bronchoalveolar lavage fluid(BALF)is a potential liquid biopsy medium that is rich in a variety of bioactive substances and cell components.BALF contains information on the key characteristics of tumors,including the tumor subtype,gene mutation type,and tumor environment,thus BALF may be used as a diagnostic supplement to lung biopsy.In this review,the current research on BALF in the diagnosis,treatment,and prognosis of lung cancer is summarized.The advantages and disadvantages of different components of BALF,including cells,cell-free DNA,extracellular vesicles,and micro RNA are introduced.In particular,the great potential of extracellular vesicles in precision diagnosis and detection of drug-resistant for lung cancer is highlighted.In addition,the performance of liquid biopsies with different body fluid sources in lung cancer detection are compared to facilitate more selective studies involving BALF,thereby promoting the application of BALF for precision medicine in lung cancer patients in the future.

Model informed precision medicine of Chinese herbal medicines formulas-A multi-scale mechanistic intelligent model

Recent trends suggest that Chinese herbal medicine formulas(CHM formulas)are promising treatments for complex diseases.To characterize the precise syndromes,precise diseases and precise targets of the precise targets between complex diseases and CHM formulas,we developed an artificial intelligence-based quantitative predictive algorithm(DeepTCM).DeepTCM has gone through multilevel model calibration and validation against a comprehensive set of herb and disease data so that it accurately captures the complex cellular signaling,molecular and theoretical levels of traditional Chinese medicine(TCM).As an example,our model simulated the optimal CHM formulas for the treatment of coronary heart disease(CHD)with depression,and through model sensitivity analysis,we calculated the balanced scoring of the formulas.Furthermore,we constructed a biological knowledge graph representing interactions by associating herb-target and gene-disease interactions.Finally,we experimentally confirmed the therapeutic effect and pharmacological mechanism of a novel model-predicted intervention in humans and mice.This novel multiscale model opened up a new avenue to combine“disease syndrome”and“macro micro”system modeling to facilitate translational research in CHM formulas.

广电行业PTP系统的同步机选型及应用问题探讨

本文阐述了IP化广播电视制播系统使用PTP的必要性、PTP的相关标准以及基本工作原理,从产品选型角度对目前主流同步机产品进行性能对比,对视频系统PTP+BB混合模式、音频系统的PTP+Word Clock或BB同步方式以及远程制作的同步问题进行研究探讨。

狐源兔脑炎微孢子虫极管蛋白2(PTP2)的原核表达及间接ELISA方法的建立

为了建立一种特异性好、敏感性高、重复性好的可检测蓝狐兔脑炎微孢子虫病的间接ELISA方法,试验首先从疑似感染兔脑炎微孢子虫(Encephalitozoon.cuniculi)的蓝狐脑组织DNA中扩增PTP2基因,并将其与原核表达载体pET-32a(+)连接,构建重组质粒pET32a-PTP2,转化至大肠杆菌BL21(DE3)感受态细胞中进行诱导表达,将菌体超声后对表达的重组蛋白进行可溶性分析,并纯化目的蛋白;然后以重组蛋白作为包被抗原,通过优化反应条件和临界值的确定建立蓝狐兔脑炎微孢子虫的间接ELISA方法,并进行特异性、敏感性和重复性试验;最后采用建立的间接ELISA方法对28份经常规PCR方法验证已经感染兔脑炎微孢子虫病的蓝狐血清样品进行检测,并计算符合率。结果表明:表达的重组蛋白的分子质量为45.8 ku,且表达产物以可溶性蛋白和包涵体两种形式存在,经纯化杂带明显减少,纯化后的重组蛋白质量浓度为1.55 mg/mL。间接ELISA方法的最佳包被抗原质量浓度为8μg/ml,最佳一抗稀释度为1∶100,最佳封闭液为5%脱脂乳,最佳封闭条件为37℃、1 h,最佳一抗孵育时间为120 min,最佳二抗稀释度为1∶5 000,最佳二抗孵育时间为60 min,最佳显色时间为20 min。阴、阳性血清OD_(450)临界值分别为0.268和0.302。建立的间接ELISA方法检测蓝狐犬瘟热病毒、蓝狐伪狂犬病毒、蓝狐细小病毒阳性血清均为阴性,可检测到稀释度为1∶3 200的蓝狐兔脑炎微孢子虫阳性血清,批内重复与批间重复变异系数均小于10%。用建立的间接ELISA方法检测28份蓝狐血清样品的阳性样品数为23份,与常规PCR方法的符合率为82.14%。说明试验成功建立了一种可检测蓝狐兔脑炎微孢子虫病的间接ELISA方法,该方法特异性好、敏感性高、重复性好,适合在基层推广。

PTP在广电IP系统中的应用

随着4K、8K技术的快速发展,广播电视制作与播出领域进行了网际互连协议(Internet Protocol,IP)化的迭代,为高分辨率节目的传输提供更加快捷、灵活的应用环境。在这一过程中,同步时钟起到了重要的保障作用。基于此,分析IP系统中精确时间协议(Precision Time Protocol,PTP)时钟同步原理,阐述PTP在不同场景的应用,探讨如何构建一个统一基准的同步系统,以满足广电系统IP化的需求。

The synergistic regulatory effect of PTP1B and PTK inhibitors on the development of Oedaleus decorus asiaticus Bei-Bienko

Tyrosine phosphorylation is crucial for controlling normal cell growth,survival,intercellular communication,gene transcription,immune responses,and other processes.protein tyrosine phosphatase(PTP)and protein tyrosine kinases(PTK)can achieve this goal by regulating multiple signaling pathways.Oedaleus decorus asiaticus is an important pest that infests the Mongolian Plateau grassland.We aimed to evaluate the survival rate,growth rate,overall performance,and ovarian developmental morphology of the 4th instar nymphs of O.decorus asiaticus while inhibiting the activity of protein tyrosine phosphatase-1B(PTP1B)and PTK.In addition,the expression and protein phosphorylation levels of key genes in the MAPK signaling pathway and antioxidant enzyme activity were assessed.The results showed no significant differences in survival rate,growth rate,or overall performance between PTP1B inhibitor treatment and control.However,after PTK inhibitor treatment,these indexes were significantly lower than those in the control.The ovarian size of female larvae after 15 days of treatment with PTK inhibitors showed significantly slower development,while female larvae treated with PTP1B exhibited faster ovarian growth than the control group.In comparison to controls and nymphs treated with PTK inhibitors,the expression and phosphorylation levels of key genes in the MAPK signaling pathway under PTP1B inhibitor treatments were significantly higher in 4th instar nymphs.However,reactiveoxygen(ROS)species levels and the activities of NADPH oxidase and other antioxidant enzymes were considerably reduced,although they were significantly greater in the PTK inhibitor treatment.The results suggest that PTP1B and PTK feedback inhibition in the mitogen-activated-protein kinases(MAPK)signal transfer can regulate the physiological metabolism of the insect as well as its developmental rate.These findings can facilitate future uses of PTP1B and PTK inhibitors in controlling insect development to help control pest populations.

Recent advances on thermosensitive hydrogels-mediated precision therapy

Precision therapy has become the preferred choice attributed to the optimal drug concentration in target sites,increased therapeutic efficacy,and reduced adverse effects.Over the past few years,sprayable or injectable thermosensitive hydrogels have exhibited high therapeutic potential.These can be applied as cell-growing scaffolds or drug-releasing reservoirs by simply mixing in a free-flowing sol phase at room temperature.Inspired by their unique properties,thermosensitive hydrogels have been widely applied as drug delivery and treatment platforms for precision medicine.In this review,the state-of-theart developments in thermosensitive hydrogels for precision therapy are investigated,which covers from the thermo-gelling mechanisms and main components to biomedical applications,including wound healing,anti-tumor activity,osteogenesis,and periodontal,sinonasal and ophthalmic diseases.The most promising applications and trends of thermosensitive hydrogels for precision therapy are also discussed in light of their unique features.

A novel self-alignment method for high precision silicon diffraction microlens arrays preparation and its integration with infrared focal plane arrays

Silicon(Si)diffraction microlens arrays are usually used to integrating with infrared focal plane arrays(IRFPAs)to improve their performance.The errors of lithography are unavoidable in the process of the Si diffrac-tion microlens arrays preparation in the conventional engraving method.It has a serious impact on its performance and subsequent applications.In response to the problem of errors of Si diffraction microlens arrays in the conven-tional method,a novel self-alignment method for high precision Si diffraction microlens arrays preparation is pro-posed.The accuracy of the Si diffractive microlens arrays preparation is determined by the accuracy of the first li-thography mask in the novel self-alignment method.In the subsequent etching,the etched area will be protected by the mask layer and the sacrifice layer or the protective layer.The unprotection area is carved to effectively block the non-etching areas,accurately etch the etching area required,and solve the problem of errors.The high precision Si diffraction microlens arrays are obtained by the novel self-alignment method and the diffraction effi-ciency could reach 92.6%.After integrating with IRFPAs,the average blackbody responsity increased by 8.3%,and the average blackbody detectivity increased by 10.3%.It indicates that the Si diffraction microlens arrays can improve the filling factor and reduce crosstalk of IRFPAs through convergence,thereby improving the perfor-mance of the IRFPAs.The results are of great reference significance for improving their performance through opti-mizing the preparation level of micro nano devices.

Stability Analysis and Performance Evaluation of Additive Mixed-Precision Runge-Kutta Methods

Additive Runge-Kutta methods designed for preserving highly accurate solutions in mixed-precision computation were previously proposed and analyzed.These specially designed methods use reduced precision for the implicit computations and full precision for the explicit computations.In this work,we analyze the stability properties of these methods and their sensitivity to the low-precision rounding errors,and demonstrate their performance in terms of accuracy and efficiency.We develop codes in FORTRAN and Julia to solve nonlinear systems of ODEs and PDEs using the mixed-precision additive Runge-Kutta(MP-ARK)methods.The convergence,accuracy,and runtime of these methods are explored.We show that for a given level of accuracy,suitably chosen MP-ARK methods may provide significant reductions in runtime.

Micron-resolved quantum precision measurement of magnetic field at the Tesla level

We develop a quantum precision measurement method for magnetic field at the Tesla level by utilizing a fiber diamond magnetometer.Central to our system is a micron-sized fiber diamond probe positioned on the surface of a coplanar waveguide made of nonmagnetic materials.Calibrated with a nuclear magnetic resonance magnetometer,this probe demonstrates a broad magnetic field range from 10 mT to 1.5 T with a nonlinear error better than 0.0028%under a standard magnetic field generator and stability better than 0.0012%at a 1.5 T magnetic field.Finally,we demonstrate quantitative mapping of the vector magnetic field on the surface of a permanent magnet using the diamond magnetometer.

Developing risk models and subtypes of autophagy-associated LncRNAs for enhanced prognostic prediction and precision in therapeutic approaches for liver cancer patients

Background:Limited research has been conducted on the influence of autophagy-associated long non-coding RNAs(ARLncRNAs)on the prognosis of hepatocellular carcinoma(HCC).Methods:We analyzed 371 HCC samples from TCGA,identifying expression networks of ARLncRNAs using autophagy-related genes.Screening for prognostically relevant ARLncRNAs involved univariate Cox regression,Lasso regression,and multivariate Cox regression.A Nomogram was further employed to assess the reliability of Riskscore,calculated from the signatures of screened ARLncRNAs,in predicting outcomes.Additionally,we compared drug sensitivities in patient groups with differing risk levels and investigated potential biological pathways through enrichment analysis,using consensus clustering to identify subgroups related to ARLncRNAs.Results:The screening process identified 27 ARLncRNAs,with 13 being associated with HCC prognosis.Consequently,a set of signatures comprising 8 ARLncRNAs was successfully constructed as independent prognostic factors for HCC.Patients in the high-risk group showed very poor prognoses in most clinical categories.The Riskscore was closely related to immune cell scores,such as macrophages,and the DEGs between different groups were implicated in metabolism,cell cycle,and mitotic processes.Notably,high-risk group patients demonstrated a significantly lower IC50 for Paclitaxel,suggesting that Paclitaxel could be an ideal treatment for those at elevated risk for HCC.We further identified C2 as the Paclitaxel subtype,where patients exhibited higher Riskscores,reduced survival rates,and more severe clinical progression.Conclusion:The 8 signatures based on ARLncRNAs present novel targets for prognostic prediction in HCC.The drug candidate Paclitaxel may effectively treat HCC by impacting ARLncRNAs expression.With the identification of ARLncRNAsrelated isoforms,these results provide valuable insights for clinical exploration of autophagy mechanisms in HCC pathogenesis and offer potential avenues for precision medicine.

Application of the Electrical Resistivity Method in Precision Agriculture of Coffee Cultivation, in the Kabiri Area, Ícolo e Bengo Township, Luanda, Angola

The electrical resistivity method is a geophysical tool used to characterize the subsoil and can provide an important information for precision agriculture. The lack of knowledge about agronomic properties of the soil tends to affect the agricultural coffee production system. Therefore, research related to geoelectrical properties of soil such as resistivity for characterization the region of the study for coffee cultivation purposes can improve and optimize the production. This resistivity method allows to investigate the subsurface through different techniques: 1D vertical electrical sounding and electrical imaging. The acquisition of data using these techniques permitted the creation of 2D resistivity cross section from the study area. The geoelectrical data was acquired by using a resistivity meter equipment and was processed in different softwares. The results of the geoelectrical characterization from 1D resistivity model and 2D resistivity electrical sections show that in the study area of Kabiri, there are 8 varieties of geoelectrical layers with different resistivity or conductivity. Near survey in the study area, the lowest resistivity is around 0.322 Ω·m, while the highest is about 92.1 Ω·m. These values illustrated where is possible to plant coffee for suggestion of specific fertilization plan for some area to improve the cultivation.

Micron-sized fiber diamond probe for quantum precision measurement of microwave magnetic field

We present a quantitative measurement of the horizontal component of the microwave magnetic field of a coplanar waveguide using a quantum diamond probe in fiber format.The measurement results are compared in detail with simulation,showing a good consistence.Further simulation shows fiber diamond probe brings negligible disturbance to the field under measurement compared to bulk diamond.This method will find important applications ranging from electromagnetic compatibility test and failure analysis of high frequency and high complexity integrated circuits.

Hepatitis B virus genotypes in precision medicine of hepatitis Brelated hepatocellular carcinoma:Where we are now

Hepatitis B virus(HBV)infection is a major player in chronic hepatitis B that may lead to the development of hepatocellular carcinoma(HCC).HBV genetics are diverse where it is classified into at least 9 genotypes(A to I)and 1 putative genotype(J),each with specific geographical distribution and possible different clinical outcomes in the patient.This diversity may be associated with the precision medicine for HBV-related HCC and the success of therapeutical approaches against HCC,related to different pathogenicity of the virus and host response.This Editorial discusses recent updates on whether the classification of HBV genetic diversity is still valid in terms of viral oncogenicity to the HCC and its precision medicine,in addition to the recent advances in cellular and molecular biology technologies.

A new method for evaluating the firing precision of multiple launch rocket system based on Bayesian theory

How to effectively evaluate the firing precision of weapon equipment at low cost is one of the core contents of improving the test level of weapon system.A new method to evaluate the firing precision of the MLRS considering the credibility of simulation system based on Bayesian theory is proposed in this paper.First of all,a comprehensive index system for the credibility of the simulation system of the firing precision of the MLRS is constructed combined with the group analytic hierarchy process.A modified method for determining the comprehensive weight of the index is established to improve the rationality of the index weight coefficients.The Bayesian posterior estimation formula of firing precision considering prior information is derived in the form of mixed prior distribution,and the rationality of prior information used in estimation model is discussed quantitatively.With the simulation tests,the different evaluation methods are compared to validate the effectiveness of the proposed method.Finally,the experimental results show that the effectiveness of estimation method for firing precision is improved by more than 25%.

Optimization of a precision symmetric fingerclamping garlic seed-metering device

This study aimed to address the sowing quality problems commonly encoun-tered in the mechanized process of sowing garlic seeds,such as a low single-seed rate.To rectify these types of issues,the symmetric seed-collection spoons and the seed-distribution plate structures were designed based on an existing finger clip plate garlic seed-metering device.First,the optimal installation angle of the seed-distribution plate and optimal number of seed-collection spoons were determined using single-factor simulation tests based on discrete element method-multibody dynamics(DEM-MBD)coupling,and the effects of different seed-collection spoon tapers,finger clip gradual closing angles,and seed tray rotation speeds on the performance of the seed-metering device were analyzed.Second,based on the single-factor simulation tests,a quadratic regression orthogonal rotary combination simulation test was conducted using the taper of the seed-collection spoon,finger clip gradual closing angle,and seed tray rotation speed as the test factors and the single-seed rate(1 seed per spoon),empty rate(O seed per spoon),and multiple-seed rate(≥2 seeds per spoon)as the test indices.Parameter optimization was performed using an established regression model.Finally,bench tests were conducted to verify the reliability of the simulation results.The results showed that the optimal parameter combinations were a seed-collection spoon taper of 1.6,a finger clip gradual closing angle of 21.4°,and a seed tray rotation speed of 31.5 r-min-1.Also,the seed-metering device exhibited a single-seed rate of 94.2%,an empty rate of 2.1%,and a multiple-seed rate of 3.7%.

Improving the spaceborne GNSS-R altimetric precision based on the novel multilayer feedforward neural network weighted joint prediction model

Global navigation satellite system-reflection(GNSS-R)sea surface altimetry based on satellite constellation platforms has become a new research direction and inevitable trend,which can meet the altimetric precision at the global scale required for underwater navigation.At present,there are still research gaps for GNSS-R altimetry under this mode,and its altimetric capability cannot be specifically assessed.Therefore,GNSS-R satellite constellations that meet the global altimetry needs to be designed.Meanwhile,the matching precision prediction model needs to be established to quantitatively predict the GNSS-R constellation altimetric capability.Firstly,the GNSS-R constellations altimetric precision under different configuration parameters is calculated,and the mechanism of the influence of orbital altitude,orbital inclination,number of satellites and simulation period on the precision is analyzed,and a new multilayer feedforward neural network weighted joint prediction model is established.Secondly,the fit of the prediction model is verified and the performance capability of the model is tested by calculating the R2 value of the model as 0.9972 and the root mean square error(RMSE)as 0.0022,which indicates that the prediction capability of the model is excellent.Finally,using the novel multilayer feedforward neural network weighted joint prediction model,and considering the research results and realistic costs,it is proposed that when the constellation is set to an orbital altitude of 500 km,orbital inclination of 75and the number of satellites is 6,the altimetry precision can reach 0.0732 m within one year simulation period,which can meet the requirements of underwater navigation precision,and thus can provide a reference basis for subsequent research on spaceborne GNSS-R sea surface altimetry.

Artificial intelligence enhances the management of esophageal squamous cell carcinoma in the precision oncology era

Esophageal squamous cell carcinoma(ESCC)is the most common histological type of esophageal cancer with a poor prognosis.Early diagnosis and prognosis assessment are crucial for improving the survival rate of ESCC patients.With the advancement of artificial intelligence(AI)technology and the proliferation of medical digital information,AI has demonstrated promising sensitivity and accuracy in assisting precise detection,treatment decision-making,and prognosis assessment of ESCC.It has become a unique opportunity to enhance comprehen-sive clinical management of ESCC in the era of precision oncology.This review examines how AI is applied to the diagnosis,treatment,and prognosis assessment of ESCC in the era of precision oncology,and analyzes the challenges and potential opportunities that AI faces in clinical translation.Through insights into future prospects,it is hoped that this review will contribute to the real-world application of AI in future clinical settings,ultimately alleviating the disease burden caused by ESCC.