Application of TCT to Research on Value in Screening for Cervical Cancer in Postmenopausal Women

Objective:To study the screening for cervical cancer in postmenopausal women in liquid-based cell test(TCT)application value.Methods:From January 2023 to March 2024 hospital check-ups and outpatient reached 400 cases of postmenopausal women,and they were TCT and HPV detection,during the study period to pathological diagnosis of numerical results as the standard,analysis of TCT detection application of screening for cervical cancer in postmenopausal women and the effect.Results:After the TCT detection,the inflammation group and normal group by use of HPV testing positive rate higher than other groups(P<0.05).Hospital after pathological diagnosis and research,after the screening system found CINⅠlevel and above cases about 39 cases,the TCT and HPV detection rate of positive difference is not obvious,and there is no statistical significance(P>0.05).Joint test analysis,the sensitivity and specificity were higher than that of TCT and HPV testing positive(P<0.05).Conclusion:TCT detection screening for cervical cancer in postmenopausal women is of great importance to the application,if you can join HPV testing,help to improve the detection sensitivity,avoid missed diagnosis of problems,and then for treatment and later restore to lay a solid foundation.

Research on Procurement Cost Control Based on Supply Chain Management

In modern enterprise management,strengthening the control and management of procurement processes can effectively reduce operational costs.However,with the continuous reform and improvement of China’s market economy system,competition among supply chain enterprises has intensified.The traditional procurement management model is no longer able to meet the needs of enterprise development in the current era.As a result,procurement management based on supply chain management has emerged,offering significant improvements in the scientific management of procurement processes.It has become an important means of promoting the long-term development of enterprises.This paper primarily analyzes and studies procurement cost control based on supply chain management,providing insights for reference.

Improved diagnosis of thyroid cancer aided with deep learning applied to sonographic text reports:a retrospective,multi-cohort,diagnostic study

Objective:Large volume radiological text data have been accumulated since the incorporation of electronic health record(EHR)systems in clinical practice.We aimed to determine whether deep natural language processing algorithms could aid radiologists in improving thyroid cancer diagnosis.Methods:Sonographic EHR data were obtained from the EHR database.Pathological reports were used as the gold standard for diagnosing thyroid cancer.We developed thyroid cancer diagnosis based on natural language processing(THCaDxNLP)to interpret unstructured sonographic text reports for thyroid cancer diagnosis.We used the area under the receiver operating characteristic curve(AUROC)as the primary metric to measure the performance of the THCaDxNLP.We compared the performance of thyroid ultrasound radiologists aided with THCaDxNLP vs.those without THCaDxNLP using 5 independent test sets.Results:We obtained a total number of 788,129 sonographic radiological reports.The number of thyroid sonographic data points was 132,277,18,400 of which were thyroid cancer patients.Among the 5 test sets,the numbers of patients per set were 439,186,82,343,and 171.THCaDxNLP achieved high performance in identifying thyroid cancer patients(the AUROC ranged from 0.857–0.932).Thyroid ultrasound radiologists aided with THCaDxNLP achieved significantly higher performances than those without THCaDxNLP in terms of accuracy(93.8%vs.87.2%;one-sided t-test,adjusted P=0.003),precision(92.5%vs.86.0%;P=0.018),and F1 metric(94.2%vs.86.4%;P=0.007).Conclusions:THCaDxNLP achieved a high AUROC for the identification of thyroid cancer,and improved the accuracy,sensitivity,and precision of thyroid ultrasound radiologists.This warrants further investigation of THCaDxNLP in prospective clinical trials.

Effect of Focused Cardiac Ultrasound in Combination with Lung Ultrasound on Critically Ill Patients: A Multicenter Observational Study in China

Objective Focused cardiac ultrasound(FCU)and lung ultrasound(LU)are increasingly being used in critically ill patients.This study aimed to investigate the effect of FCU in combination with LU on these patients and to determine if the timing of ultrasound examination was associated with treatment change.Methods This is a multicenter cross-sectional observational study.Consecutive patients admitted to the intensive care unit(ICU)were screened for enrollment.FCU and LU were performed within the first 24 h,and treatment change was proposed by the performer based on the ultrasound results and other clinical conditions.Results Among the 992 patients included,502 were examined within 6 h of ICU admission(early phase group),and 490 were examined after 6 h of admission(later phase group).The early phase group and the later phase group had similar proportions of treatment change(48.8%vs.49.0%,χ^(2)=0.003,P=0.956).In the multivariable analysis,admission for respiratory failure was an independent variable associated with treatment change,with an odds ratio(OR)of 2.357[95%confidence interval(CI):1.284-4.326,P=0.006];the timing of examination was not associated with treatment change(OR=0.725,95%CI:0.407-1.291,P=0.275).Conclusions FCU in combination with LU,whether performed during the early phase or later phase,had a significant impact on the treatment of critically ill patients.Patients with respiratory failure were more likely to experience treatment change after the ultrasound examination.

MBGM: A Graph-Mining Tool Based on MapReduce and BSP

This paper proposes an analytical mining tool for big graph data based on MapReduce and bulk synchronous parallel （BSP） com puting model. The tool is named Mapreduce and BSP based Graphmining tool （MBGM）. The core of this mining system are four sets of parallel graphmining algorithms programmed in the BSP parallel model and one set of data extractiontransformationload ing （ETE） algorithms implemented in MapReduce. To invoke these algorithm sets, we designed a workflow engine which optimized for cloud computing. Finally, a welldesigned data management function enables users to view, delete and input data in the Ha doop distributed file system （HDFS）. Experiments on artificial data show that the components of graphmining algorithm in MBGM are efficient.

Parallel Web Mining System Based on Cloud Platform

Traditional machine-learning algorithms are struggling to handle the exceedingly large amount of data being generated by the internet. In real-world applications, there is an urgent need for machine-learning algorithms to be able to handle large-scale, high-dimensional text data. Cloud computing involves the delivery of computing and storage as a service to a heterogeneous community of recipients, Recently, it has aroused much interest in industry and academia. Most previous works on cloud platforms only focus on the parallel algorithms for structured data. In this paper, we focus on the parallel implementation of web-mining algorithms and develop a parallel web-mining system that includes parallel web crawler; parallel text extract, transform and load （ETL） and modeling; and parallel text mining and application subsystems. The complete system enables variable real-world web-mining applications for mass data.

Modification of short-range repulsive interactions in ReaxFF reactive force field for Fe–Ni–Al alloy

The short-range repulsive interactions of any force field must be modified to be applicable for high energy atomic collisions because of extremely far from equilibrium state when used in molecular dynamics(MD)simulations.In this work,the short-range repulsive interaction of a reactive force field(ReaxFF),describing Fe-Ni-Al alloy system,is well modified by adding a tabulated function form based on Ziegler-Biersack-Littmark(ZBL)potential.The modified interaction covers three ranges,including short range,smooth range,and primordial range.The short range is totally predominated by ZBL potential.The primordial range means the interactions in this range is the as-is ReaxFF with no changes.The smooth range links the short-range ZBL and primordial-range ReaxFF potentials with a taper function.Both energies and forces are guaranteed to be continuous,and qualified to the consistent requirement in LAMMPS.This modified force field is applicable for simulations of energetic particle bombardments and reproducing point defects'booming and recombination effectively.

Involvement of Root Hair during <i>Rhizobial</i>Invasion in Cultivated Peanut (<i>Arachis hypogaea</i>L.)

Peanut root invasion by Bradyrhizobia is through a crack entry, which is different from many other legumes applying an infection thread entry in root hair. Understanding the role of root hair in the crack entry of Bradyrhizobia invasion of peanut root and subsequent peanut nodulation would facilitate improvement of biological nitrogen fixation in cultivated peanut. The objective of this study was to investigate the involvement of root hair in Bradyrhizobial invasion of peanut. Seedling roots of a nodulating peanut cultivar were observed for root hair emergence, its life span, and nodule formation at the base of the lateral roots with and without rhizobia inoculation for 14 days after germination (DAG). Scanning electron microscopy (SEM) was utilized to observe rhizobia accumulation at lateral roots at 24 hours after inoculation (HAI) before the emergence of root hair. Root hair emerged at 7 DAG with or without rhizobia inoculation. Two variations of rosette hair (RoH) were observed, the transient-thin RoH had life span of 3 days after root hair emergence and the thick and densely distributed RoH type stayed till the time of nodule emergence (9 days after inoculation). The lateral root devoid of root hair at the top 2 cm region was found to produce nodules. The SEM observation of seedling roots at 24 HAI showed that Bradyrhizobia invaded the roots at epidermis, protoplasm of cortical cell, and cortical cells of the main root near the newly emerged lateral root in the absence of RoH. The observations validated that root hair is not required in the Bradyrhizobia invasion of peanut root in the crack entry mode. Results from this study provided important morphological information for the hypothesis of close relationship between RoH and peanut nodulation for further genetic study of crack entry mechanism and signaling pathway of symbiosis between Bradyrhizobia and peanut.

A Parallel Platform for Web Text Mining

With user-generated content, anyone can De a content creator. This phenomenon has infinitely increased the amount of information circulated online, and it is beeoming harder to efficiently obtain required information. In this paper, we describe how natural language processing and text mining can be parallelized using Hadoop and Message Passing Interface. We propose a parallel web text mining platform that processes massive amounts data quickly and efficiently. Our web knowledge service platform is designed to collect information about the IT and telecommunications industries from the web and process this in-formation using natural language processing and data-mining techniques.

Enhancing the activity and succinyl-CoA specificity of 3-ketoacyl-CoA thiolase Tfu_0875 through rational binding pocket engineering

The 3-ketoacyl-CoA thiolase is the rate-limiting enzyme for linear dicarboxylic acids production.However,the promiscuous substrate specificity and suboptimal catalytic performance have restricted its application.Here we present both biochemical and structural analyses of a high-efficiency 3-ketoacyl-CoA thiolase Tfu_0875.Notably,Tfu_0875 displayed heightened activity and substrate specificity for succinyl-CoA,a key precursor in adipic acid production.To enhance its performance,a deep learning approach(DLKcat)was employed to identify effective mutants,and a computational strategy,known as the greedy accumulated strategy for protein engineering(GRAPE),was used to accumulate these effective mutants.Among the mutants,Tfu_0875N249W/L163H/E217L exhibited the highest specific activity(320%of wild-type Tfu_0875),the greatest catalytic efficiency(kcat/KM=1.00 min-1mM-1),the highest succinyl-CoA specificity(KM=0.59 mM,28.1%of Tfu_0875)and dramatically reduced substrate binding energy(-30.25 kcal mol^(-1)v.s.-15.94 kcal mol^(-1)).A structural comparison between Tfu_0875N249W/L163H/E217L and the wild type Tfu_0875 revealed that the increased interaction between the enzyme and succinyl-CoA was the primary reason for the enhanced enzyme activity.This interaction facilitated rapid substrate anchoring and stabilization.Furthermore,a reduced binding pocket volume improved substrate specificity by enhancing the complementarity between the binding pocket and the substrate in stereo conformation.Finally,our rationally designed mutant,Tfu_0875N249W/L163H/E217L,increased the adipic acid titer by 1.35-fold compared to the wild type Tfu_0875 in shake flask.The demonstrated enzymatic methods provide a promising enzyme variant for the adipic acid production.The above effective substrate binding pocket engineering strategy can be beneficial for the production of other industrially competitive biobased chemicals when be applied to other thiolases.

When to start renal replacement therapy in acute kidney injury: What are we waiting for?

Acute kidney injury remains a serious condition with a high mortality risk. In the absence of any new drugs, renal replacement therapy (RRT) is the most important treatment option. Randomized controlled trials have concluded that in critically ill patients without an emergency indication for RRT, a watchful waiting strategy is safe;however, further delays in RRT did not seem to confer any benefit, rather was associated with potential harm. During this process, balancing the risks of complications due to an unnecessary intervention with the risk of not correcting a potentially life-threatening complication remains a challenge. Dynamic renal function assessment, especially dynamic assessment of renal demand-capacity matching, combined with renal biomarkers such as neutrophil gelatinase-associated lipocalin and furosemide stress test, is helpful to identify which patients and when the patients may benefit from RRT.

财务智能化背景下企业财务BP岗位实践——以W公司为例

数字化转型热潮为企业财务组织架构带来重大调整甚至重构挑战,财务已逐步从“以核算为重点”转变为“以业财融合、战略管理为重点”。在此背景下,为了满足企业对业务管理的更高需求及保证企业多业务同步健康发展的需要,财务业务伙伴(business partner,BP)岗位应运而生,并逐步发展成为财务智能化背景下企业数字化财务三支柱体系的重要基石。本文立足于对W公司的深入访谈和调研,简述了企业数字化财务体系以及财务BP的岗位职责,并以W公司“送货上门业务项目组”财务BP岗位实践为例,从预算管理、财务分析、方案优化、风险管控的职能层次深度剖析财务BP在送货上门项目组的具体职责承担和实施成效。最后,本文从推动人才培养、提升合作氛围、促进业财融合等角度对W公司财务BP岗位的实践成效进行了总结,以期为财务智能化背景下企业业务发展提供经验借鉴和管理启示。

Next-generation sequencing revealed factors associated with cumulative incidence of relapse and leukemia-free survival in patients with newly diagnosed acute myeloid leukemia

BackgroundSeveral prognostic biomarkers have been validated for acute myeloid leukemia(AML),a heterogeneous hematopoietic malignancy.However,the factors associated with the cumulative incidence of relapse(CIR)and leukemia-free survival(LFS)in real-world patients with AML have not been well defined.MethodsThis study examined clinical and mutational data of 246 patients with newly diagnosed AML who received the traditional“3+7”regimen in PLA General Hospital from January 2008 to August 2020.Factors associated with CIR and LFS in patients newly diagnosed with AML were analyzed using next-generation sequencing.ResultsAdditional sex combs-like 1(ASXL1)and Serine/arginine-rich splicing factor 2(SRSF2)mutations were found to be associated with an increased risk of CIR and a reduced LFS in univariate analysis,while only SRSF2 mutations were associated with these factors in the multivariate analysis.Hyperleukocytosis maintained an independent effect on LFS in the multivariate analysis.Hematopoietic stem cell transplantation conferred a significant prognostic benefit on both CIR and LFS in our cohort.Furthermore,we validated the risk classification of patients with AML receiving traditional induction regimens across a broad age range.Based on next-generation sequencing results,we concluded that SRSF2 mutations were predictive of an increased risk of relapse,inferior LFS rates,and non-relapse mortality in patients with newly diagnosed AML.ConclusionThese findings indicate that patients with SRSF2 mutations might not benefit from the conventional“3+7”regimen.Our results may help in developing molecular stratification strategies and could guide treatment decisions for patients with newly diagnosed AML.

室温克级构筑Cu@CuO及其在法拉第葡萄糖电氧化过程中的动力学提升机制

在临床应用中,一次性条形血糖传感器可以日常监测和维持糖尿病患者的血糖水平,以预防和避免危及生命的并发症.本文采用室温可控原位氧化商业铜的工艺制备了Cu@CuO材料.将具有电催化性能的Cu@CuO丝网印刷到一次性银碳工作电极上,制备了条形无酶葡萄糖传感器.该传感器对葡萄糖的电催化氧化表现出优异的性能:高灵敏度(0.03μA mmol^(-1)L cm^(-2))、低检测限(1.3μmol L^(-1))、宽线性范围(0.0013-2.5 mmol L^(-1))、良好的选择性、重复性(20个电极的相对标准偏差为4.28%),以及在室温下超过3周的稳定性.计算结果表明,铜组分提高了Cu@CuO的导电性和对葡萄糖的吸附能力,从而改善了其在葡萄糖法拉第催化过程中的动力学性能.更重要的是,Cu@CuO的批量制备及其在临床型电极中的应用为其在无酶血糖传感方面的应用提供了一个参考方案.

Construction of highly congested quaternary carbon centers by NHC catalysis through dearomatization

A NHC-catalyzed hypervalent iodine reagents and transition-metal free redox-neutral dearomatization of phenols is reported.This protocol provides an efficient access for highly congested quaternatry carbon centers construction.It also features operationally simplicity,mild reaction conditions and good functional group tolerance.Moreover,the reported procedure can be easily emplified to 1 g scale.Mechanism study reveals the dearomative transformation possibly undergoes a single electron transfer process with NHC radical cation as a reactive intermediate.

重症超声应用及培训原则与质量控制标准

重症超声在重症医学相关领域的应用日益广泛, 已成为重症专业医生不可或缺的检查、评估与监测手段。但由于超声本身较强的操作者依赖性, 且很多医生未能接受规范的重症超声培训, 导致认识与应用水平参差不齐。因此, 规范重症超声培训及严格质量控制非常关键。为此制定了本标准, 以推动重症超声更好地发展。

Conversion between polarization states based on a metasurface

Transmission of an anisotropic metasurface is analyzed in a polar base relying on the Jones calculus, and polarization conversion from the spatial uniform polarization to the spatial nonuniform polarization is explored.Simple and compact polarization converters based on rectangular holes or cross holes etched in silver film are designed, and polarization conversions from the linear and circular polarization to the radial and azimuthal polarization are realized. Numerical simulations of three designed polarization converters consisting of rectangular holes equivalent to polarizers and quarter-and half-wave plates, exhibit the perfect polarization conversion.The experiment results consistent with the simulations verify theoretic predictions. This study is helpful for designing metasurface polarization converters and expanding the application of a metasurface in polarization manipulations.

HOPF BIFURCATION AND CHAOS OF FINANCIAL SYSTEM ON CONDITION OF SPECIFIC COMBINATION OF PARAMETERS

This paper studies the global bifurcation and Hopf bifurcation of one kind of complicated financial system with different parameter combinations. Conditions on which bifurcation happens, and the critical system structure when the system transforms from one kind of topological structure to another are studied as well. The criterion for identifying Hopf bifurcation under different parameter combinations is also given. The chaotic character of this system under quasi-periodic force is finally studied. The bifurcation structure graphs are given when two parameters of the combination are fixed while the other parameter varies. The presence and stability of 2 and 3 dimensional torus bifurcation are studied. All of the Lyapunov exponents of the system with different bifurcation parameters and routes leading the system to chaos with different parameter combinations are studied. It is of important theoretical and practical meaning to probe the intrinsic mechanism of such continuous complicated financial system and to find the macro control policies for such kind of system.

Bacillus sp.CDB3 isolated from cattle dip-sites possesses two ars gene clusters

Contamination of soil and water by arsenic is a global problem. In Australia, the dipping of cattle in arsenic-containing solution to control cattle ticks in last centenary has left many sites heavily contaminated with arsenic and other toxicants. We had previously isolated five soil bacterial strains （CDB 1-5） highly resistant to arsenic. To understand the resistance mechanism, molecular studies have been carried out. Two chromosome-encoded arsenic resistance （ars） gene clusters have been cloned from CDB3 （Bacillus sp.）. They both function in Escherichia coli and cluster i exerts a much higher resistance to the toxic metalloid. Cluster 2 is smaller possessing four open reading frames （ORFs） arsRorf2BC, similar to that identified in Bacillus subtilis Skin element. Among the eight ORFs in cluster 1 five are analogs of common ars genes found in other bacteria, however, organized in a unique order arsRBCDA instead of arsRDABC. Three other putative genes are located directly downstream and designated as arsTIP based on the homologies of their theoretical translation sequences respectively to thioredoxin reductases, iron-sulphur cluster proteins and protein phosphatases. The latter two are novel of any known ars operons. The arsD gene from Bacillus species was cloned for the first time and the predict protein differs from the well studied E. coli ArsD by lacking two pairs of C-terminal cysteine residues. Its functional involvement in arsenic resistance has been confirmed by a deletion experiment. There exists also an inverted repeat in the intergenic region between arsC and arsD implying some unknown transcription regulation.

Almansi-Type Decomposition Theorem for Bi-k-regular Functions in the Clifford Algebra Cl_(2n+2,0)(R)

Almansi-type decomposition theorem for bi-k-regular functions defined in a star-like domainΩ⊆R^(n+1)×R^(n+1)centered at the origin with values in the Clifford algebra Cl_(2n+2,0)(R)is proved.As a corollary,Almansi-type decomposition theorem for biharmonic functions of degree k is given.