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.

基于图像低维特征融合的航拍小目标检测模型

针对无人机航拍图像目标检测中视野变化大、时空信息复杂等问题,文中基于YOLOv5(You Only Look Once Version5)架构,提出基于图像低维特征融合的航拍小目标检测模型.引入CA(Coordinate Attention),改进MobileNetV3的反转残差块,增加图像空间维度信息的同时降低模型参数量.改进YOLOv5特征金字塔网络结构,融合浅层网络中的特征图,增加模型对图像低维有效信息的表达能力,进而提升小目标检测精度.同时为了降低航拍图像中复杂背景带来的干扰,引入无参平均注意力模块,同时关注图像的空间注意力与通道注意力;引入VariFocal Loss,降低负样本在训练过程中的权重占比.在VisDrone数据集上的实验验证文中模型的有效性,该模型在有效提升检测精度的同时明显降低复杂度.

A Survey of Feautures of Three English Versions of Lu Xun’s Short Stories

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.Since the 1920’s,Lu Xun’s stories have been translated into various languages and published throughout the world,enjoying an international reputation.The three English versions chosen are different with various features,especially in dealing with Chinese traditional culture according to different purposes and towards different English readers.

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.

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.

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.

3种类型烟草种质资源烟叶生物碱等化学成分差异性分析

为筛选能为科研、生产和育种利用的优异烟草种质资源。对来源于国内外的141份烤烟、18份白肋烟和6份雪茄烟的烟叶常规化学成分和主要生物碱进行检测、比较和聚类分析。结果表明:总糖和还原糖含量以烤烟最高,总氮、烟碱和氧化钾以白肋烟种质最高。总植物碱和烟碱含量以烤烟种质自来黄2243最高,雪茄烟种质Dutch(Ohio)最低;降烟碱和烟碱转化率以烤烟种质平板柳叶最高,以烤烟种质二性子和白肋烟种质Burley11B最低。聚类分析将165份种质分成4类,烤烟种质主要集中在第1和第4类,其主要特征是总糖和还原糖含量较高,烟碱转化率较低;第2类的总糖和还原糖含量低,总氮、总植物碱和氧化钾含量高;第3类的烟碱和总植物碱含量低,降烟碱含量高,烟碱转化率高。不同类型种质资源的化学成分和生物碱差异明显,筛选出的不同梯度烟碱的种质可为烟碱的进一步研究提供材料支撑。

高校发展性教师评价的逻辑困境与价值回归

高校教师评价是学术与人事管理的核心要件,是深化高等教育评价改革的重要内容,其出发点既要推动学校人才培养和知识创新能力的提高,也要促进教师个人的职业发展,进而从根本上推动高等教育强国建设。论文采用质性研究方法,分析高校教师因评价的绩效逻辑、量化逻辑和结果逻辑导向带来的学术信念动摇,行为方式异化,以及学术生态破坏等问题,基于高校教师评价现状及其影响机制模型,提出发展性教师评价应该回归大学使命、回归大学教育精神、回归教师评价本真意义。

基于改进YOLOv8的嵌入式道路裂缝检测算法

在边缘端设备部署YOLOv8L模型进行道路裂缝检测可以实现较高的精度,但难以保证实时检测。针对此问题,提出一种可部署到边缘计算设备Jetson AGX Xavier上的基于改进YOLOv8模型的目标检测算法。首先,利用部分卷积设计Faster Block结构以替换YOLOv8 C2f模块中的Bottleneck结构,并将改进后的C2f模块记为C2f-Faster;其次,在YOLOv8主干网络中的每个C2f-Faster模块之后接一个SE(Squeeze-and-Excitation)通道注意力层,进一步提高检测的精度。在开源道路损害数据集RDD20(Road Damage Detection 20)上的实验结果表明:所提方法的平均F1得分为0.573,每秒检测帧数(FPS)为47,模型大小为55.5MB,相较于GRDDC2020(GlobalRoadDamageDetection Challenge 2020)的SOTA(State-Of-The-Art)模型,F1得分提高了0.8个百分点,FPS提高了291.7%,模型大小减小了41.8%,实现了在边缘设备上对道路裂缝实时且准确的检测。

刘应袭刻《西厢记》:陈眉公本的翻刻重评本

万历间刘应袭(太华)梓《李卓吾批评合像北西厢记》,是一个孤本,现藏于美国伯克莱加州大学东亚图书馆。郭立暄率先撰文研究其书,并提出陈眉公本据刘太华本刊刻的意见。陈旭耀表示此说“或可商榷”。本文认为,刘太华本乃是陈眉公本的翻刻重评本,其正文和批语都是在陈眉公本的基础上,再参校容与堂本而成。故此认定刘本的出版时间晚于陈眉公本,即在万历四十六年(1618)之后。孙月峰本的渊源关系与刘太华本相同,属于兄弟关系,相互之间并无直接影响。

基于视觉传感的薄板对接焊缝检测方法研究

为了实现薄板自动对接焊过程中焊缝中心的准确检测,提出了基于主动视觉传感的薄板对接焊缝检测方法。通过对工业相机采集的图像进行颜色分割与亮度分割,消除环境光的干扰;利用轮廓检测与掩模操作消除图像噪声,应用灰度重心法提取激光条纹的中心线,并通过一阶差分方法实现焊缝左右边界及中心的检测。针对激光条纹存在的分断缺陷进行续断连接,以提高焊缝中心检测的准确性。实验结果表明,采用所提方法能够准确检测焊缝边界及中心位置,能够满足薄板对接焊缝的自动焊接需求。

一生攻击史量表中文版测评精神分裂症患者的信度与效度

目的为精神分裂症患者攻击行为评估提供一种以攻击行为发生次数作为评分依据的纵向评估工具。方法对一生攻击史量表进行翻译并修订,形成一生攻击史量表中文版(Life History of Aggression-Chinese Version,LHA-CV)。基于成都市社区及强制医疗所共369例精神分裂症患者,采用分半信度、重测信度及评估者间一致性对LHA-CV的信度进行分析,采用项目分析、结构效度及效标效度进行效度分析。结果项目分析发现,LHA-CV整体的同质性与区分度较好。探索性因素分析发现,Kaiser-Meyer-Olkin(KMO)检验值为0.80,Bartlett球形检验χ2=1203.46(P<0.05),析出非躯体攻击、躯体攻击、自我攻击和反社会行为/结果4个因子,11个条目的因子载荷均大于0.40。对该因子模型进行验证性因素分析,卡方自由度比(χ2/df)为3.61,近似误差均方根为0.07,拟合优度指数为0.92,比较拟合指数为0.90,增值拟合指数为0.90,各因子区分效度较好。效标效度检验结果显示,LHA-CV总分与MacArthur社区暴力工具评估的攻击行为等级、Buss-Perry攻击性量表总分、人格障碍诊断问卷(第4版)反社会型人格障碍分量表得分呈正相关(P<0.05)。LHA-CV的非躯体攻击、躯体攻击、自我攻击、反社会行为/结果以及总分的Cronbach’sα系数分别为0.82、0.73、0.74、0.56和0.79。LHA-CV总分的重测信度为0.82(P<0.05),Spearman-Brown分半信度为0.66,组内相关系数为0.99。结论LHA-CV具有良好的信度与效度,可作为纵向测评精神分裂症患者攻击行为的评估工具。

分子生物学中心法则存在两个版本

分子生物学中心法则阐述生物体内的遗传信息流动方向,是重要的分子生物学经典理论之一。中心法则存在两个版本。1957年克里克首次提出中心法则,1958年发表,1970年修改。克里克将遗传信息传递方式分为三组:(1)3种普通传递,在细胞中正常发生,包括DNA→DNA、DNA→RNA和RNA→蛋白质;(2)3种特殊传递,指某些病毒中的RNA→RNA和RNA→DNA,以及体外DNA→蛋白质;(3)3种未知传递,即尚未发现或可能不存在的信息传递,包括蛋白质→蛋白质、蛋白质→DNA和蛋白质→RNA。1965年沃森以蛋白质生物合成途径作为中心法则,将遗传信息传递过程分成两步——转录和翻译,通常简化为DNA→RNA→蛋白质,之后又补充了“RNA复制”和“逆转录”。沃森中心法则的局限性受到质疑。

增强MRI采用LI-RADS v2018对肝细胞癌的诊断效能

目的:探讨增强MRI采用2018版肝脏影像报告和数据系统(LI-RADS)在高危人群中对肝细胞癌(HCC)的诊断效能。方法:回顾性分析本院2017年至2022年经病理证实的69例HCC患者,并且行MRI增强检查。基于LI-RADS v2018,对每个病灶MRI图像的主要/辅助征象进行评价及LI-RADS分类。以病理结果为金标准,评价增强MRI采用LI-RADS v2018对HCC的诊断效能。采用组内相关系数(ICC)评价阅片者的一致性。结果:3位阅片者间LI-RADS分类的ICC值为0.782(95%可信区间0.713~0.841)。基于LI-RADS v2018,以LR-5为诊断标准,MRI阅片者1诊断HCC的敏感度、特异度和准确率分别为83.9%、70.4%和79.8%;阅片者2分别为80.6%、74.1%和78.7%;阅片者3分别为80.6%、77.8%和79.8%。以LR-4联合LR-5为诊断标准,阅片者1诊断HCC的敏感度、特异度和准确率分别为93.5%、63.0%和84.3%,阅片者2分别为90.3%、66.7%和83.1%,阅片者3分别为91.9%、66.7%和84.3%。结论:基于LI-RADS v2018,增强MRI在高危人群中诊断HCC具有较高的诊断价值。

妊娠期糖尿病非药物管理患者指南的解读

由于妊娠期高血糖与不良妊娠结局之间的显著相关性,国际糖尿病和妊娠研究协会降低了妊娠期糖尿病(gestational diabetes mellitus, GDM)的诊断标准,这使得GDM发病率明显增加,成为妊娠期最常见的并发症。绝大多数GDM孕妇是通过居家非药物自我管理实现血糖控制的,而现有的专业版临床实践指南并不适合孕妇。因此,复旦大学循证护理中心妊娠期糖尿病课题组于2024年2月发布了《妊娠期糖尿病非药物管理患者指南》,为GDM孕妇居家非药物管理提供决策建议。该指南围绕GDM孕期非药物管理的核心内容,共涵盖了GDM的筛查与诊断、产前管理、分娩期管理、新生儿低血糖管理及产后管理5个方面,共24个健康问题、33条推荐意见。本文旨在对该患者指南进行解读,介绍该患者指南的制订背景、制订过程及核心内容,并阐述了该患者指南的特点,为未来患者指南的制订提供参考。

结合聚类边界采样的主动学习

主动学习是一种机器学习方法,需要选择最有价值的样本进行标注。目前,主动学习在应用时面临着一些挑战,其依赖分类器的先验假设,这容易导致分类器性能意外下降,同时需要一定规模的样本作为启动条件。聚类可以降低问题规模,是主动学习的一种有效手段。为此,结合密度聚类边界采样,开展主动学习方法的研究。针对容易产生分类错误的聚类边界区域,通过计算样本密度,提出一种密度峰值聚类边界点采样方法;在此基础上,给出密度熵的定义,并利用密度熵对聚类边界区域进行启发式搜索,提出一种基于聚类边界采样的主动学习方法。试验结果表明,与文献中的5种主动学习算法相比,该算法能够以更少标记量获得同等甚至更高的分类性能,是一种有效的主动学习算法;在标记不足,无标签样本总量20%的情况下,算法在Accuracy、F-score等指标上取得较好的结果。

写印转换时期唐集流传方式举隅——以程大昌《演繁露》所见《白氏文集》为例

《白氏文集》宋代诸本系谱研究在白居易研究领域一向为学者所关注。其原因,在于这一时期《白氏文集》大体完成了由写本向印本的转换,其卷目编次也由“前后续集本”变为“前诗后笔本”,两者之间是否存在关联性互动值得探讨。在此背景下,调查清楚白集宋代诸本的状况,成为梳理版本衍变源流的关键。本文以程大昌《演繁露》为例,通过分析其征引《白氏文集》的情况,发现在南宋士人的阅读视野中“,前后续集本”和“前诗后笔本”同时存在,而程氏所见或出南宋秘阁藏书。同时根据卷帙分析来推测,《白氏文集》从“前后续集本”到“前诗后笔本”的体例更革,最早可能完成于写本流行时期,至印本流行时期则被读者选择成为社会主流版本。

宋本《诚斋集》的东传、递藏及著录

杨万里《诚斋集》宋端平二年(1235)全集刻本,目前仅日本存一部。此本当为明成化四年(1468)日本室町幕府将军足利义政委派京都建仁寺住持天与清启访华,于成化五年归国时带回,此后一直秘藏于建仁寺。江户末期该寺天章禅师酷爱杨万里,曾据此本刊行《千虑策》三卷、《东宫劝读录》一卷。明治二十年(1887)古泽滋从建仁寺梧庵禅师手中购得此本,带往东京,明治二十八年或稍前转入宫内省图书寮(今宫内厅书陵部)。入藏图书寮前,此本曾经西村兼文数次著录;入藏后不久,又有岛田翰《古文旧书考》予以详细揭载。然此本之缺叶、错简、点逗、批注等问题,诸家著录尚有缺失,故文末拾遗补缺,以期此本著录庶臻完善。

《2021年美国创新与竞争法》(3.0版)遏华条文的霸凌色彩探析

《2021年美国创新与竞争法》(3.0版)在政治、教育、人才、科学技术、贸易、空间与军事技术、专利和知识产权等各个领域专门针对并遏制中国,带有鲜明的霸凌色彩。这部法律对华特指化对象调整明显,相关遏华条文数量大、范围广,程度激烈,明显违背法理;语言充斥歧视、贬低、威胁、打压、编造等色调,违反了法律规范性和公平性原则和美国的宪法;对外贸易联合排挤、封锁中国,违背WTO规则;对华科技封锁,严禁航天航空和5G技术交流和合作,违背联合国宪章人类共同进步原则;对中国政府、执政党和国家领导人以及中国守法企业制裁,违背了国际法的国家赦免原则和尊重主权原则,是典型的长臂管辖。因此全面系统分析这部法律的相关遏华条文及其霸凌色彩,可以为我国政府及时制定反制裁的应对之策提供一定的帮助。

改良Aldrete量表和DPART在全身麻醉术后复苏病人中的应用效果比较

目的:探讨中文版DPART量表与改良Aldrete量表对全身麻醉病人术后复苏效果的评估效果。方法:以全身麻醉术后入麻醉复苏室(PACU)接受治疗的病人为研究对象,按手术日期先后顺序分为改良Aldrete组和DPART组。改良Aldrete组105例病人采用改良Aldrete作为出室评估工具,DPART组109例病人采用DPART作为出室评估工具,比较两组病人PACU停留时间、出室时疼痛评分、镇静躁动得分、苏醒期躁动发生率、恶心呕吐评分和护士对于两种量表的可行性、实用性评价。结果:DPART组PACU停留时间长于改良Aldrete组(P<0.05),但出室时疼痛评分、恶心呕吐评分低于改良Aldrete组(P<0.05);两组出室时镇静躁动得分及苏醒期躁动发生率比较差异无统计学意义(P>0.05);DPART组量表的可行性评分低于改良Aldrete组(P<0.05),实用性评分高于改良Aldrete组(P<0.05)。结论:应用中文版DPART量表评估PACU病人,病人PACU停留时间较使用改良Aldrete量表评估延长,但病人出室时各项体征表现较好,更有利于保障全身麻醉术后病人安全转出PACU。