Influence of vapor pressure deficit on vegetation growth in China

Vapor pressure deficit(VPD)plays a crucial role in determining plant physiological functions and exerts a substantial influence on vegetation,second only to carbon dioxide(CO_(2)).As a robust indicator of atmospheric water demand,VPD has implications for global water resources,and its significance extends to the structure and functioning of ecosystems.However,the influence of VPD on vegetation growth under climate change remains unclear in China.This study employed empirical equations to estimate the VPD in China from 2000 to 2020 based on meteorological reanalysis data of the Climatic Research Unit(CRU)Time-Series version 4.06(TS4.06)and European Centre for Medium-Range Weather Forecasts(ECMWF)Reanalysis 5(ERA-5).Vegetation growth status was characterized using three vegetation indices,namely gross primary productivity(GPP),leaf area index(LAI),and near-infrared reflectance of vegetation(NIRv).The spatiotemporal dynamics of VPD and vegetation indices were analyzed using the Theil-Sen median trend analysis and Mann-Kendall test.Furthermore,the influence of VPD on vegetation growth and its relative contribution were assessed using a multiple linear regression model.The results indicated an overall negative correlation between VPD and vegetation indices.Three VPD intervals for the correlations between VPD and vegetation indices were identified:a significant positive correlation at VPD below 4.820 hPa,a significant negative correlation at VPD within 4.820–9.000 hPa,and a notable weakening of negative correlation at VPD above 9.000 hPa.VPD exhibited a pronounced negative impact on vegetation growth,surpassing those of temperature,precipitation,and solar radiation in absolute magnitude.CO_(2) contributed most positively to vegetation growth,with VPD offsetting approximately 30.00%of the positive effect of CO_(2).As the rise of VPD decelerated,its relative contribution to vegetation growth diminished.Additionally,the intensification of spatial variations in temperature and precipitation accentuated the spatial heterogeneity in the impact of VPD on vegetation growth in China.This research provides a theoretical foundation for addressing climate change in China,especially regarding the challenges posed by increasing VPD.

PEST and SWOT Analysis of The Chinese Version of TikTok

This paper applies PEST analysis to The Chinese Version of TikTok,a video-sharing app developed by Zhang Yiming and founded in 2016.It examines how TikTok has adapted to different market conditions over time using PEST and SWOT analyses.This paper will provide critical insights into how The Chinese Version of TikTok has developed from the perspective of the company’s top management team in light of changes within the market since its establishment to help them make decisions about their strategy going forward.It will also look at changes in social behavior over time to explain their resilience.The PEST study of The Chinese Version of TikTok reveals that the political paradigm of the technical element,which includes the AI big data algorithms and the AI economic calculation model,can stimulate public interest because it is a content platform.As a result of its monopolistic nature,however,it is motivated by a desire to serve the public interest.We can see the opportunities that arise from these problems,but the benefits of technological advances are less noticeable.According to the SWOT analysis,five main advantages stem from the technical aspects.First,it has a vast user volume,which means it has acquired many data on user behavior.Second,it has powerful Big Data-based financial debugging skills.Third,it has access to cutting-edge artificial intelligence tools and data.In the fourth place,it has created an advertiser-friendly platform.As the last step,it has established a public service-oriented website.Because it relies on Big Data,AI’s technical flaws-including its flawed big data algorithms and extremely conservative economic calculating model-are greatly relieved because it relies on Big Data.Business choices under a centralized economic paradigm have to be made at the top,reducing room for creativity.Another flaw is that there is no internal mechanism for The Chinese Version of TikTok to adapt to changing circumstances or industry trends.The AI big data algorithms and the AI economic calculation model face competition from other participants in this industry who may have access to a more comprehensive database and superior artificial intelligence equipment.

Validation of short version of evidence-based practice instruments among nurses in clinical practice:Evidence-based practice beliefs,implementation,and organizational culture

Objective:The objective of the study is to validate the short version of evidence-based practice(EBP)instruments among nurses in clinical practice.Methods:An institutional-based cross-sectional research design was used and a stratified sampling technique to select 285 nurse clinicians.The study utilized a structured questionnaire comprising of demographic data from the participants and three validated scales:the shortened versions of the EBP Beliefs Scale,the EBP Implementation Scale,and the Organizational Culture and Readiness for System-Wide Integration of Evidence-Based Practice(OCRSIEP)survey.With the use of descriptive statistics,the data were analyzed and presented in frequencies and percentages,while inter-item correlation coefficient(ICC)and the Kaiser-Meyer-Olkin measure of sampling adequacy were used to confirm the validity of using factor analysis.Results:Findings revealed the mean scores of the EBP Beliefs Scale ranged from 1.50 to 1.61,EBP Implementation Scale ranged from 1.84 to 1.94,and the OCRSIEP Scale ranged from 1.93 to 2.19.All the three shortened scales accordingly had good internal reliability,29.30±9.93 out of 80 for the EBP Beliefs Scale,19.56±7.37 out of 72 for the EBP Implementation Scale,and 66.32±20.35 out of 125 for the OCRSIEP Scale.Conclusion:This study has generated a valid Short Version of EBP reliable instrument that is psychometrically robust that can be used by nurses and clinicians to evaluate EBP in clinical settings since the results presented as a whole confirmed the high reliability and factorial validity.

A Survey of Major English Versions of Lu Xun’s Short Stories in the 20th Century

Lu Xun(1881-1936)has been acclaimed father of modern Chinese literature.He is the first writer to use the vernacular to write fiction.His stories have laid a solid foundation for the development of modern Chinese fiction.Call to Arms(1923)and Wandering(1926)represent the greatest achievement of Chinese story-writing at that time.His short stories are not only profound in thinking,but also worthy of admiration for their great value and innovation in art.Since the 1920’s,Lu Xun’s stories have been translated into various languages and published throughout the world,enjoying an international reputation.Only their English versions in the 20th century are discussed within this paper.These versions are different with various features,especially in dealing with Chinese traditional culture according to different purposes and towards different English readers.

Image Non-Uniformity Correction in 3T Gd-EOB-DTPA-Enhanced Magnetic Resonance Imaging: Comparison among Different Software Versions

Background: Non-uniformity in signal intensity occurs commonly in magnetic resonance (MR) imaging, which may pose substantial problems when using a 3T scanner. Therefore, image non-uniformity correction is usually applied. Purpose: To compare the correction effects of the phased-array uniformity enhancement (PURE), a calibration-based image non-uniformity correction method, among three different software versions in 3T Gd-EOB-DTPA-enhanced MR imaging. Material and Methods: Hepatobiliary-phase images of a total of 120 patients who underwent Gd-EOB-DTPA-enhanced MR imaging on the same 3T scanner were analyzed retrospectively. Forty patients each were examined using three software versions (DV25, DV25.1, and DV26). The effects of PURE were compared by visual assessment, histogram analysis of liver signal intensity, evaluation of the spatial distribution of correction effects, and evaluation of quantitative indices of liver parenchymal enhancement. Results: The visual assessment indicated the highest uniformity of PURE-corrected images for DV26, followed by DV25 and DV25.1. Histogram analysis of corrected images demonstrated significantly larger variations in liver signal for DV25.1 than for the other two versions. Although PURE caused a relative increase in pixel values for central and lateral regions, such effects were weaker for DV25.1 than for the other two versions. In the evaluation of quantitative indices of liver parenchymal enhancement, the liver-to-muscle ratio (LMR) was significantly higher for the corrected images than for the uncorrected images, but the liver-to-spleen ratio (LSR) showed no significant differences. For corrected images, the LMR was significantly higher for DV25 and DV26 than for DV25.1, but the LSR showed no significant differences among the three versions. Conclusion: There were differences in the effects of PURE among the three software versions in 3T Gd-EOB-DTPA-enhanced MR imaging. Even if the non-uniformity correction method has the same brand name, correction effects may differ depending on the software version, and these differences may affect visual and quantitative evaluations.

Analysis of Maximum Liquid Carrying Capacity Based on Conventional Tubing Plunger Gas Lift

China’s unconventional gas fields have a large number of low-productivity and low-efficiency wells, many of whichare located in remote and environmentally harsh mountainous areas. To address the long-term stable productionof these gas wells, plunger-lift technology plays an important role. In order to fully understand and accurately graspthe drainage and gas production mechanisms of plunger-lift, a mechanical model of plunger-liquid column uplift inthe plunger-lift process was established, focusing on conventional plunger-lift systems and representative wellboreconfigurations in the Linxing region. The operating casing pressure of the plunger-lift process and the calculationmethod for the maximum daily fluid production rate based on the work regime with the highest fluid recovery ratewere determined. For the first time, the critical flow rate method was proposed as a constraint for the maximumliquid-carrying capacity of the plunger-lift, and liquid-carrying capacity charts for conventional plunger-lift withdifferent casing sizes were developed. The results showed that for 23/8 casing plunger-lift, with a well depth ofshallower than 808 m, the maximum drainage rate was 33 m3/d;for 27/8 casing plunger-lift, with a well depth ofshallower than 742 m, the maximum drainage rate was 50.15 m3/d;for 31/2 casing plunger-lift, with a well depthof shallower than 560 m, the maximum drainage rate was 75.14 m3/d. This research provides a foundation for thescientific selection of plunger-lift technology and serves as a decision-making reference for developing reasonableplunger-lift work regimes.

Benchmarking YOLOv5 models for improved human detection in search and rescue missions

Drone or unmanned aerial vehicle(UAV)technology has undergone significant changes.The technology allows UAV to carry out a wide range of tasks with an increasing level of sophistication,since drones can cover a large area with cameras.Meanwhile,the increasing number of computer vision applications utilizing deep learning provides a unique insight into such applications.The primary target in UAV-based detection applications is humans,yet aerial recordings are not included in the massive datasets used to train object detectors,which makes it necessary to gather the model data from such platforms.You only look once(YOLO)version 4,RetinaNet,faster region-based convolutional neural network(R-CNN),and cascade R-CNN are several well-known detectors that have been studied in the past using a variety of datasets to replicate rescue scenes.Here,we used the search and rescue(SAR)dataset to train the you only look once version 5(YOLOv5)algorithm to validate its speed,accuracy,and low false detection rate.In comparison to YOLOv4 and R-CNN,the highest mean average accuracy of 96.9%is obtained by YOLOv5.For comparison,experimental findings utilizing the SAR and the human rescue imaging database on land(HERIDAL)datasets are presented.The results show that the YOLOv5-based approach is the most successful human detection model for SAR missions.

Incidence and Risk Factors of Sub-syndromal Delirium in Patients after Cardiac Surgery

[Objectives]This study aimed to investigate the incidence and risk factors associated with SSD in patients following cardiac surgery.[Methods]A total of 378 patients who underwent cardiac surgery in Taihe Hospital were recruited and screened.Diagnosis of delirium was made using evaluation methods and DSM-5 criteria.SSD was defined as the presence of one or more core features of delirium without meeting the full diagnostic criteria.Statistical analysis included independent samples t-test for group comparisons and binary logistic regression analysis to identify independent risk factors for SSD after cardiac surgery.[Results]Among the 378 subjects,112(29.63%)had SSD,28(7.41%)had delirium,and the remaining 238 patients(62.96%)did not present with delirium.Univariate analysis revealed that age,APACHE II score,duration of aortic clamping,length of ICU stay,duration of sedation use,and daily sleep time were significant risk factors for the occurrence of SSD(P<0.05).Logistic regression analysis identified age>70 years old,APACHE II score>20 points,length of ICU stay>5 d,and duration of sedation use>24 h as independent risk factors for SSD after cardiac surgery(P<0.05).A functional model was fitted based on the analysis results of the binary logistic regression model,yielding the equation logit P=1.472X_(1)+2.213X_(2)+3.028X_(3)+1.306X_(4).[Conclusions]Comprehensive clinical assessment is crucial for patients undergoing cardiac surgery,and appropriate preventive measures should be taken for patients with identified risk factors.Close monitoring of the patient s consciousness should be implemented postoperatively,and timely interventions should be conducted.Further research should focus on model validation and optimization.

Special Relativity’s “Newtonization” in Complex “Para-Space”: The Two Theories Equivalence Question

Complex model, say C3, of “para-space” as alternative to the real M4 Minkowski space-time for both relativistic and classical mechanics was shortly introduced as reference to our previous works on that subject. The actual aim, however, is an additional analysis of the physical and para-physical phenomena’ behavior as we formally transport observable mechanical phenomena [motion] to non-real interior of the complex domain. As it turns out, such procedure, when properly set, corresponds to transition from relativistic to more classic (or, possibly, just classic) kind of the motion. This procedure, we call the “Newtonization of relativistic physical quantities and phenomena”, first of all, includes the mechanical motion’s characteristics in the C3. The algebraic structure of vector spaces was imposed and analyzed on both: the set of all relativistic velocities and on the set of the corresponding to them “Galilean” velocities. The key point of the analysis is realization that, as a matter of fact, the relativistic theory and the classical are equivalent at least as for the kinematics. This conclusion follows the fact that the two defined structures of topological vector spaces i.e., the structure imposed on sets of all relativistic velocities and the structure on set of all “Galilean” velocities, are both diffeomorphic in their topological parts and are isomorphic as the vector spaces. As for the relativistic theory, the two approaches: the hyperbolic (“classical” SR) with its four-vector formalism and Euclidean, where SR is modeled by the complex para-space C3, were analyzed and compared.

基于YOLOv7-tiny的轻量化海珍品检测算法

针对当前海珍品捕捞机器人使用的水下目标检测算法参数量大,不适合部署在移动设备上等问题,提出一种基于YOLOv7-tiny(You Only Look Once version 7-tiny)的轻量化海珍品检测算法ES YOLOv7-tiny(EfficientNet-S YOLOv7-tiny)。在YOLOv7-tiny基础上,首先,将骨干网络替换为改进的EfficientNet(EfficientNet-S),并将颈部网络中卷积核大小为3×3卷积替换为轻量化卷积,达到降低参数量的目的;其次,使用k-means++算法聚类锚框尺寸,提高推理速度;最后,使用知识蒸馏算法进一步提高精度。在RUIE(Real-world Underwater Image Enhancement)数据集上,所提算法平均精度均值(mAP)达到73.7%,检测速度达到123 frame/s,参数量为4.45×10^(6),与原YOLOv7-tiny算法相比,在mAP上提升了1.2个百分点,检测速度提升25 frame/s,参数量降低了1.56×10^(6)。实验结果表明,所提算法在提升精度的同时降低了参数量,并且加快了检测速度,证明了该算法的有效性。

CIN患者的宫颈锥切特征及预后相关因素分析

目的:分析宫颈上皮内瘤变(CIN)患者的宫颈锥切特征与术后病变残留及HPV转阴之间的相关因素。方法:采用双中心回顾性研究分析507例CIN患者的基本资料、HPV状态、宫颈锥切手术特征以及术后结果。结果:患者的平均年龄为41.69±9.35岁。手术方式以LEEP为主(86.59%);术后病变残留率为7.89%。多因素逻辑回归分析揭示年龄、绝经、术前组织活检分级、锥切深度、内外切缘、腺体受累和术前多重HPV感染与病变残留显著关联(P<0.05);而锥高、腺体受累、术前多重HPV及高危HPV感染与HPV转阴显著关联(P<0.05)。结论:腺体受累和术前多重HPV感染等因素与CIN患者宫颈锥切术后病变残留及HPV转阴相关,为制定个性化治疗方案提供了参考。

Chinese Society of Clinical Oncology (CSCO) diagnosis and treatment guidelines for persistent/recurrent and metastatic differentiated thyroid cancer 2018 (English version)

Contents1. Diagnosis and dynamic assessment of persistent/recurrent and metastatic differentiated thyroid cancer (prmDTC)1.1 Basic principles of diagnosis1.2 Diagnostic methods1.3 Ongoing assessment of response to therapy2. Multidisciplinary treatment of prmDTC2.1 Basic principles of treatment2.2 Surgical management2.2.1 Preoperative clinical assessment2.2.2 Principles of surgical treatment for prmDTC.

Comparison of RECIST version 1.0 and 1.1 in assessment of tumor response by computed tomography in advanced gastric cancer

Objective： Response Evaluation Criteria in Solid Tumors （RECIST） guideline version 1.0 （RECIST 1.0） was proposed as a new guideline for evaluating tumor response and has been widely accepted as a standardized measure. With a number of issues being raised on RECIST 1.0, however, a revised RECIST guideline version 1.1 （RECIST 1.1） was proposed by the RECIST Working Group in 2009. This study was conducted to compare CT tumor response based on RECIST 1.1 vs. RECIST 1.0 in patients with advanced gastric cancer （AGC）. Methods： We reviewed 61 AGC patients with measurable diseases by RECIST 1.0 who were enrolled in other clinical trials between 2008 and 2010. These patients were retrospectively re-analyzed to determine the concordance between the two response criteria using the κ statistic. Results： The number and sum of tumor diameters of the target lesions by RECIST 1.1 were significantly lower than those by RECIST 1.0 （P〈0.0001）. However, there was excellent agreement in tumor response between RECIST 1.1 and RECIST 1.0 0（κ=0.844）. The overall response rates （ORRs） according to RECIST 1.0 and RECIST 1.1 were 32.7% （20/61） and 34.5% （20/58）, respectively. One patient with partial response （PR） based on RECIST 1.0 was reclassified as stable disease （SD） by RECIST 1.1. Of two patients with SD by RECIST 1.0, one was downgraded to progressive disease and the other was upgraded to PR by RECIST 1.1. Conclusions： RECIST 1.1 provided almost perfect agreement with RECIST 1.0 in the CT assessment of tumor response of AGC.

Chinese guidelines for diagnosis and treatment of prostate cancer 2018 (English version)

Contents1. Overview2. Risk factors of prostate cancer2.1 Age and genetic factors2.2 Exogenous factors3. Pathological classification and grading system4. Diagnostic evaluation4.1 Monitoring and screening for population with high-risk prostate cancer4.2 Genetic testing4.3 Digital rectal examination (DRE)4.4 Magnetic resonance examination4.5 Bone scan examination.

Chinese guidelines for diagnosis and treatment of melanoma 2018(English version)

1. Overview2. Screening and diagnosis2.1 Surveillance and screening of high-risk population2.2 Diagnosis of melanoma2.2.1 Clinical symptoms2.2.2 Imaging diagnosis2.2.3 Laboratory tests2.2.4 Focus biopsy2.3 Pathological diagnosis of melanoma2.3.1 Criteria for pathological diagnosis2.3.2 Standard pathological diagnosis of melanoma2.3.3 Pathological report of melanoma2.4 Clinical diagnostic criteria and route map of melanoma3. Staging4. Treatment4.1 Surgical treatment4.1.1 Wide excision4.1.2 Sentinel lymph node biopsy (SLNB).

A Comparative Study Of two Chinese Versions of Wilde's De Profundis

Oscar Wilde was one of the most successful playwrights of the late Victorian era in London.De Profundis is a collection of letters written by him while he was imprisoned after being convicted of "gross indecency" with other men.The language in it is colloquial yet still retains the distinguishing features of Wilde's work,which is full of the flowers of speech and sparkling of ideas.The two Chinese versions of the book exhibit exquisite techniques of the translators and their different ways of dealing with the various problems of translation.This article is going to do a comparative work between the two versions.In chapter 3,there will be a detailed analysis of the two versions from different aspects to see how the two translators reproduce the grammatical and functional meaning of the source language while still retaining the original style.

Chinese guidelines for diagnosis and treatment of malignant lymphoma 2018(English version)

1. Overview2. Diagnosis of lymphoma2.1 Clinical manifestations2.2 Physical examination2.3 Laboratory examination2.4 Imaging examination2.4.1 CT2.4.2 MRI2.4.3 PET-CT2.4.4 Ultrasound2.4.5 Isotope bone scan2.5 Other specific examinations2.6 Pathological examinations2.6.1 Morphology2.6.2 IHC2.6.3 Fluorescence in situ hybridization (FISH)2.6.4 Antigen receptor gene rearrangement of lymphocytes2.6.5 Others.

Responsiveness and minimal clinically important difference of the Chinese version of the Low Vision Quality of Life Questionnaire after cataract surgery

AIM: To investigate the Chinese version of the Low Vision Quality of Life Questionnaire(CLVQOL) as an instrument for obtaining clinically important changes after cataract surgery.METHODS: Patients underwent cataract surgery in Shanghai General Hospital, Shanghai Jiao Tong University, who fit the inclusion criteria were recruited. Two CLVQOLs were administered, including a preoperative CLVQOL and a CLVQOL at the end of the 3 mo follow-up period, and were completed using face-to-face interviews or phone interviews conducted by trained investigators. The minimal clinically important difference(MCID) was calculated using an anchor-based method and a distribution method. In addition, the responsiveness of the questionnaire was measured.RESULTS: A total of 155 residents were enrolled. The average visual acuity(VA) preoperatively was 0.08(SD=0.05), and it increased to 0.47(SD=0.28) at the end of followup. Statistically significant positive changes in the CLVQOL scores indicated significant improvement of vision related quality of life after cataract surgery. With the larger value between the two results as the final value, the MCID values of the CLVQOL(scores of the four scales as well as the total score) were 8.94, 2.61, 4.34, 3.10 and 17.63, respectively. The CLVQOL has both good internal and external responsiveness.CONCLUSION: CLVQOL scores are appropriate instruments for obtaining clinically important changes after cataract surgery. This study is an effective exploration for establishingcataract surgery efficacy standards, which helps clinical and scientific research workers in ophthalmology to gain a more in-depth understanding when using CLVQOL.

Development and Validation of a Simplified Chinese Version of the Assessment Tool for Students' Perceptions of Medical Professionalism

Professionalism is crucial in all professions and is particularly important in the medical field.Measuring students' perceptions of professionalism can help to form education targeting the enhancement of professionalism.This study aimed to validate an effective assessment tool for the measurement of medical students5 perceptions of medical professionalism in China's Mainland.The cross-sectional survey was conducted in three medical colleges in Guangdong,China.Of the 2103 eligible medical students,1976 responded,and 1856 questionnaires were deemed valid.Students from clinical medicine in these three medical colleges were randomly selected by cluster sampling.First,a Simplified Chinese Version questionnaire to measure Student's Perception of Medical Professionalism (SCV-SPMP) was constructed.Second,questionnaires from 1856 students majoring in clinical medicine at three medical colleges were included in the analysis.Third,exploratory factor analysis,Cronbach's alpha,item-subscale correlation,and confirmatory factor analysis were conducted to test the validity and reliability of the SCV-SPMP.Nine items were eliminated following exploratory factor analysis,and four subscales were extracted from the analysis.All internal consistency reliability exceeded the minimum standard.The overall Cronbach's alpha was 0.94,and four subscales' alphas were 0.82 (Accountability and excellence),0.81 (Duty),0.89 (Honor and integrity),and 0.85 (Practice habits and respect for others),respectively.The model fit was good.The convergent validity and discriminant validity were acceptable.The modified SCVSPMP was found to be a valid and reliable tool to capture the main features of Chinese students' perceptions of medical professionalism in four dimensions,and it provides a quantitative method for the measurement of the students' perceptions in China's Mainland..

Dynamic batch selective sampling based on version space analysis

A novel dynamic batch selective sampling algorithm based on version space analysis is presented. In the traditional batch selective sampling, example selection is entirely determined by the existing unreliable classification boundary; meanwhile, within a batch, examples labeled previously fail to provide instructive information for the selection of the rest. As a result, using the examples selected in batch mode for model refinement will jeopardize the classification performance. Based on the duality between feature space and parameter space under the SVM active learning fi：amework, dynamic batch selective sampling is proposed to address the problem. We select a batch of examples dynamically, using the examples labeled previously as guidance for further selection. In this way, the selection of feedback examples is determined by both the existing classification model and the examples labeled previously. Encouraging experimental results demonstrate the effectiveness of the proposed algorithm.