Determinants and Outcomes of Pregnancies among Booked versus Unbooked Patients in a Tertiary Hospital South East, Nigeria

Background: Inadequate antenatal care, both in coverage and standard, has been linked with poor pregnancy outcomes. In a resource poor setting, home delivery is considered very cheap, but the possible outcome of such pregnancies has been a subject of interest. This study evaluated the association of booking status with pregnancy outcomes. Objectives: To examine the factors that influence booking and impact of the booking status on pregnancy outcomes. Methods: This was a hospital-based prospective cohort study of 240 (120 booked and 120 un-booked) pregnant mothers selected through systematic random sampling. The study was carried out at the Department of Obstetrics and Gynaecology, Alex Ekwueme Federal University Teaching Hospital Abakaliki, Nigeria. Chi-square test, t-test and logistic regression were used for analysis. Results: The mean age of the participants was 30.39 ± 5.05 years and 29.05 ± 6.36 years respectively for the booked and unbooked. Marital status (OR = 6.35, 95% CI = 1.24 - 32.59), educational status (OR = 36.40, 95% CI = 5.26-152.83), place of residence (OR = 0.15, 95% CI = 0.06 - 0.41), partner’s support (OR = 0.05, 95% CI = 0.01 - 0.37), family support (OR = 0.03, 95% CI = 0.01 - 0.13), mode of delivery (OR = 0.23, 95% CI = 0.12 - 0.46), APGAR score in first minute (OR = 6.02, 95% CI = 2.45 - 14.83) and NBICU admission (OR = 3.75, 95% CI = 1.67 - 8.43) were associated with booked status. However, being unmarried, nulliparity/grandmultiparity, low level of education, blue colar jobs, low income, rural dwelling and poor partner and poor family support were associated with the unbooked. The booked parturients had a better perinatal outcome compared the unbooked. Conclusion/Recommendation: There was high prevalence of operative deliveries, perinatal morbidity and mortality among the unbooked mothers. Girl child education, employment and poverty alleviation would improve antenatal care utilization.

A Study on the Values and Strategies of English Picture Book Reading for Improving Pupils’ English Reading Literacy

Reading is one of the core skills in English learning.It is indispensable for EFL learners to develop good English reading literacy in primary schools.English picture books are consistent with pupils’cognitive and thinking modes,which is valuable to improve their English reading literacy.However,at present,most Chinese pupils have some problems in English reading.The paper aims at analyzing the current problems in Chinese pupils’English reading and digging out the values and strategies of English picture book reading,so as to stimulate their reading interests,cultivate their intercultural awareness,and improve their English reading literacy.

The Book Publishing and Analysis of Modern Peking University Library

The paper is based on literature search,introducing and analyzing the book publishing situation of modern Peking University Library from the perspective of the publisher being Peking University Library and its predecessor.It is pointed out that the majority of the book printing methods published by the modern Peking University Library are lead printing,and among the types of Chinese library classification,catalogue of library collections is the most common.

日本新古书店的成功之道:以BOOK OFF为中心

当前,建构循环型社会已是全球不二共识,世界各国之各个行业无不为之“上下求索”。日本新古书店BOOK OFF以文化为连接,围绕循环再利用进行思考、想象与实践,以“书+N”为路径给大众带来二手生活方式提案,在盈利的同时不忘观照现实,与读者共创价值,为公益精神的建构、传播与书写贡献力量。分析与研究BOOK OFF的成功之道,可为塑造“中国版”的循环再利用理念构建相关的行为逻辑,探索具体的实践方法,提供借鉴与参照。

Automatic Examination of Condition of Used Books with YOLO-Based Object Detection Framework

As the demand for used books has grown in recent years,various online/offline market platforms have emerged to support the trade in used books.The price of used books can depend on various factors,such as the state of preservation(i.e.,condition),the value of possession,and so on.Therefore,some online platforms provide a reference document to evaluate the condition of used books,but it is still not trivial for individual sellers to determine the price.The lack of a standard quantitative method to assess the condition of the used book would confuse both sellers and consumers,thereby decreasing the user experience of the online secondhand marketplace.Therefore,this paper discusses the automatic examination of the condition of used books based on deep learning approaches.In this work,we present a book damage detection system based on various You Only Look Once(YOLO)object detection models.Using YOLOv5,YOLOR,and YOLOX,we also introduce various training configurations that can be applied to improve performance.Specifically,a combination of different augmentation strategies including flip,rotation,crop,mosaic,and mixup was used for comparison.To train and validate our system,a book damage dataset composed of a total of 620 book images with 3,989 annotations,containing six types of damages(i.e.,Wear,Spot,Notch,Barcode,Tag,and Ripped),collected from the library books is presented.We evaluated each model trained with different configurations to figure out their detection accuracy as well as training efficiency.The experimental results showed that YOLOX trained with its best training configuration yielded the best performance in terms of detection accuracy,by achieving 60.0%(mAP@.5:.95)and 72.9%(mAP@.5)for book damage detection.However,YOLOX performed worst in terms of training efficiency,indicating that there is a trade-off between accuracy and efficiency.Based on the findings from the study,we discuss the feasibility and limitations of our system and future research directions.

Multi-Feature Fusion Book Recommendation Model Based on Deep Neural Network

The traditional recommendation algorithm represented by the collaborative filtering algorithm is the most classical and widely recommended algorithm in the practical industry.Most book recommendation systems also use this algorithm.However,the traditional recommendation algorithm represented by the collaborative filtering algorithm cannot deal with the data sparsity well.This algorithm only uses the shallow feature design of the interaction between readers and books,so it fails to achieve the high-level abstract learning of the relevant attribute features of readers and books,leading to a decline in recommendation performance.Given the above problems,this study uses deep learning technology to model readers’book borrowing probability.It builds a recommendation system model through themulti-layer neural network and inputs the features extracted from readers and books into the network,and then profoundly integrates the features of readers and books through the multi-layer neural network.The hidden deep interaction between readers and books is explored accordingly.Thus,the quality of book recommendation performance will be significantly improved.In the experiment,the evaluation indexes ofHR@10,MRR,andNDCGof the deep neural network recommendation model constructed in this paper are higher than those of the traditional recommendation algorithm,which verifies the effectiveness of the model in the book recommendation.

An Empirical Analysis of the Impact of the Contract Book of the Civil Code on Labor Dispute Trial Practices:A Study of Four Hundred Judgments

Interpretation(I)of the Supreme People’s Court of Issues Concerning the Application of Law in the Trial of Labor Dispute Cases allows for the application of pertinent laws and regulations,including the Civil Code of the People’s Republic of China(hereinafter referred to as the“Civil Code”),in labor dispute cases.This has resolved the controversy over the relationship between civil law and labor law in academic and practical communities.In view of this development,we examined four hundred judicial documents,analyzing the focal points of disputes,the reasoning behind judgments,applicable laws,and judgment results.Our study identified seven impacts of the Contract Book of the Civil Code on labor dispute trial practices,exploring the underlying logic behind these changes and proposing policy suggestions to promote consistent judgments across jurisdictions,enhance judicial credibility,and encourage employers to govern enterprises in compliance with the law while empowering employees to safeguard their rights in accordance with relevant laws and regulations.

Looking up Prescriptions to Treat Infectious Disease:Anti-epidemic Books of Medical Formularies and Epidemic Prevention and Control in the Qing Dynasty

Copying,compiling,publishing,disseminating,and referencing anti-epidemic books of medical formularies were common activities during the outbreak of epidemics in the Qing dynasty.Its emergence,motivated by epidemic disease again and again,was important component parts of epidemic prevention and control.They played a unique role as media on affairs such as treating patients suffering from infectious diseases,mobilizing peoples to make contributions to anti-epidemic activities,integrating and popularizing knowledge of epidemic prevention.Anti-epidemic books of medical formularies were important to link peoples,things,and substances related with epidemic prevention and control,and were a kind of motivation to actively deal with the infectious disease,control the epidemic,and maintain health.Compared to other common measures,anti-epidemic books of medical formularies participated in many prevention and control practices deeply,which actually built a low cost,spontaneous,dispersed and non-institutional system to respond to epidemic,and the system had characteristics of stronger conductibility,bigger coverage area,and better external benefits.

Booktok社区平台阅读推广的经验与启示

[目的/意义]分析Booktok社区对阅读推广的作用逻辑,旨在为我国图书馆推进全民阅读提供参考。[方法/过程]通过文献分析等研究方法,概述Booktok社区的基本情况,分析了Booktok社区与阅读推广实现路径,并利用用户对话理论,探究了Booktok社区的效应现象,在此基础上提出了对我国图书馆推进阅读推广的启示。[结果/结论]Booktok实现阅读推广的主要途径分别是情境化的书籍推荐、交互性的虚拟社区交流、场景性的阅读空间呈现和生产性的知识延伸。基于对话理论的分析,社区认同的情感连接、感知真实的身份构建和视听美学的情绪共振,是Booktok取得良好效果的主要原因。这对我国图书馆进一步进行阅读推广或有启示,如国内抖音等社交媒体平台可作为图书馆开展阅读推广服务的平台,并精准处理推送内容以增强用户交互性,综合使用视听元素,营造阅读美学体验,促进书香社会的构建。

An Exploratory Data Analysis of Mazu Culture Research Based on Diaolong-Full-Text Database of Ancient Chinese and Japanese Books

Mazu is the most famous goddess of canal transport in China,and one of the three folk beliefs in China.Japan is our neighbor across the sea.As early as 1000 years ago,Japan was influenced by the Mazu ceremonial culture.Through big data analysis,this study conducted database counting,screening,and analysis on the Mazu culture in Diaolong,the full-text database of Chinese and Japanese ancient books.Besides,it explored the hot topics of concern and emotional attitudes,and then analyzed the important role of Mazu culture in the cultural exchange and mutual learning between China and Japan in the new era,with a view to completing the contemporary task of“people-to-people bond”and achieving common development.

“文化活化”视域下高校图书馆古籍活化实践路径探索--以浙江大学图书馆馆藏拓片活化为例

在“文化强国”建设的背景下,古籍活化成为古籍保护与利用工作中的重要任务。文章提出了一种新的以文化活化促进古籍活化的特藏揭示模式,并以浙江大学图书馆拓片活化应用实践为例,总结了高校图书馆古籍活化的五种实践路径及“4C”策略,以期为古籍活化工作提供新思路。

我国古籍保护与开发利用的关系辨析及立法建议

深入剖析古籍“藏用矛盾”现象产生的原因,调研梳理我国古籍工作制度的相关规定和业界实践需求,在此基础上提出四项古籍专门立法建议:一是确立“利用主导、藏用并重”的古籍工作原则,二是根据存藏机构的职责制定差异化古籍保护和开发利用策略,三是在加强古籍再生性保护的基础上推动古籍的多元化开发利用,四是以科学管理促进古籍的妥善保存与有效利用。参考文献18。

Exploring“Enabling Behaviours”of Wives of Persons with Substance Use Disorder in Chapter 8 of the Big Book of Alcoholic Anonymous

Substance use disorder has a damaging effect on the family members of alcoholics and drug users.On the other hand,the reactions and behaviours of family members may negatively influence a person with substance use disorder.The behaviours of significant others of a person with substance use disorder that contribute to the maintenance of substance use disorder are called enabling.This study aimed to explore enabling behaviours of wives of persons with substance use disorder in Chapter 8 of Alcoholic Anonymous’Big Book by utilising qualitative content analysis.Alcoholics Anonymous(AA)is one of the most commonly used programs for recovery from alcoholism.The current study sought to help mental health professionals get a better understanding of the views and premises of the AA program in reference to enabling behaviours of wives by conducting a qualitative content analysis of the AA Big Book.The study also discusses the healthy behaviours suggested by the authors of the Big Book and the comprehensiveness of the text for the readers.

智慧图书馆背景下图书智能剔旧研究

为解决图书剔旧业务繁琐混乱现象,优化图书馆馆藏资源结构,提升读者借阅体验,文章以智慧图书馆建设为契机,分析智能剔旧的可行性,探索智能剔旧的实现路径。文章运用文献调研法构建图书剔旧指标,按照功能设计设定智能剔旧系统的七大模块,提出智能剔旧的保障措施,以期为图书剔旧业务提供智慧化新思路。

关于加强我国古籍保护法治建设的若干思考

做好古籍保护与利用,对赓续中华文脉、弘扬民族精神、增强国家文化软实力、建设社会主义文化强国具有重要意义。近年来,国家高度重视古籍工作,古籍保护立法工作已经取得一定成效,但仍存在文物保护相关法律法规无法完全适用、古籍相关规定较为宏观或效力较低、实践中仍有大量实际问题需要法律保障等问题。基于此,建议优先选择行政法规作为古籍保护立法的突破口,尽快推动《古籍保护条例》出台;平衡与已有法律法规和政策文件之间的关系;针对古籍保护利用中的实际需求和问题进行立法。表2。参考文献14。

法治化视角下我国古籍分级保护制度研究

“中华古籍保护计划”自2007年启动以来,通过《国家珍贵古籍名录》和“全国古籍重点保护单位”的申报评选工作,在全国范围内自上而下逐步建立起较为完善的古籍保护工作机制和分级保护工作体系。文章在界定分级概念的基础上,详细梳理了我国古籍分级保护工作的历史演进和工作实践,发现我国已初步构建起古籍分级保护体系、古籍存藏环境得到极大改善、古籍分级保护成果得以充分转化利用。在此基础上,建议将现有古籍分级保护工作制度以立法形式予以固化;将明确的保护措施作为我国古籍保护立法的重要内容;建立多渠道的资金筹措方式,在立法中明确社会力量参与古籍分级保护的路径和鼓励措施。图1。表2。参考文献19。

高速铁路旅客购票时间选择行为研究

研究高速铁路旅客的购票行为对铁路企业预测需求、优化票价、分配票额等具有重要意义。考虑旅客个体和群体层面的异质性,分别构建混合和潜在类别Logit模型,研究出行时段、票种和供需关系等因素对旅客购票时间选择的影响。利用售票数据估计模型参数,得到高速铁路旅客购票时间选择的规律:一天中下午和晚上出行的旅客在出行当日或前一天购票的可能性更高;购买全价票、儿童票、半价票的旅客偏向于在距离出发日9~30 d内购票,免票旅客往往选择随到随走;供需关系会显著影响旅客的购票时间选择而且越临近出发日影响越显著。进一步结合预售期购票量预测值和旅客购票选择概率,计算各预售阶段的购票量,可为铁路企业制定票额预分和浮动票价等策略提供决策依据。

“思想战争武器”:二战时期美国图书运动的兴起

战争不但是军事经济力量的较量,而且是思想文化力量的较量。二战初期,面对纳粹德国从国内蔓延至欧洲的焚书运动及其宣传活动给美国制造的战争恐慌与思想攻击,美国通过强化国家认同与性别身份构建进行反击。在这场意识形态之争中,图书成为最理想的武器与装备。在这种理念指引下,美国政府和出版行业共同推动了战时图书运动。这些被送往战场和海外市场的图书不仅成为鼓舞士气、治愈创伤的精神良药,而且无形中传播了美国的价值观,提升了美国文化的影响力,对于推动世界的“美国化”起到了重要作用。

要取芳编阅书香——从求知、力学到藏书、教书、著书

文章通过回望作者早年在家乡苏南求知、力学历程,记述了其读书、淘书、藏书、著书和教书,以及写作书评、从事阅读推广和中国旧书业研究的心路历程,阐述了在相关领域的专业奉献和学术愿景。

媒介文化的折射:在线读书会读者的评论特征研究

数字化阅读和社交化分享催生出网络读书会的新景观。弹幕评论形式的出现,使在线读书会生成了基于播放时间和读者评论时间两种不同时间线的读者评论文本。文章对比分析传统评论和弹幕评论在行为和内容两方面的不同特征,认为不同的评论形式会显著影响读者的评论内容。具体而言,弹幕更倾向于社交娱乐的浅层交流,从时间维度延长读书会的讨论热度;而传统评论则更聚焦书籍内容的讨论,在空间维度呈现深度讨论特征。通过回溯阅读交流的历史场景,发现评论媒介偏向的背后折射出以原生口语文化、书面文化和次生口语文化为表征的媒介文化已在环境和形式两个方面,以其内化的主导性传播模式塑造了在线读书会读者的思维方式和交流模式,从而为数字时代的读者评论行为特征提供了理论注解。