Book review:"Impact Engineering:Fundamentals,Experiments and Nonlinear Finite Elements" By Marcilio Alves(2020) Price at Amazon:US$ 85.67.www.impactbook.org

Impact engineering encompasses many events of our lives.Examples include vehicle collisions,catastrophic collapse of infrastructures from explosion,ballistic impact of armour,hitting cricket balls in sports,falling off a bicycle.In such an event,an engineer needs to understand and quantify complex issues like identifying the impact loadings,obtaining material properties at high strain rates and evaluating structural responses and consequences.This engineering field receives great interests from industry and the research community.Several monographs have been published over the decades and related journals,such as the International Journal of Impact Engineering and Defence Technology,have been established and disseminate the latest research findings.

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.

The Drought of Amazonia in 2023-2024

The Amazon basin has experienced an extreme drought that started in the austral summer of 2022-23 and extends into 2024. This drought started earlier than other previous droughts. Although some rain fell during the austral summer, totals remained below average. Higher temperatures during austral winter and spring 2023, which affected most of Central South America, then aggravated drought conditions. This coincided with an intense El Niño and abnormally warm tropical North Atlantic Ocean temperatures since mid-2023. Decreased rainfall across the Amazon basin, negative anomalies in evapotranspiration (derived from latent heat) and soil moisture indicators, as well as increased temperatures during the dry-to-wet transition season, September-October-November (SON) 2023, combined to delay the onset of the wet season in the hydrological year 2023-24 by nearly two months and caused it to be uncharacteristically weak. SON 2023 registered a precipitation deficit of the order of 50 to 100 mm/month, and temperatures +3˚C higher than usual in Amazonia, leading to reduced evapotranspiration and soil moisture indicators. These processes, in turn, determined an exceptionally late onset and a lengthening of the dry season, affecting the 2023-2024 hydrological year. These changes were aggravated by a heat wave from June to December 2023. Drought-heat compound events and their consequences are the most critical natural threats to society. River levels reached record lows, or dried up completely, affecting Amazonian ecosystems. Increased risk of wildfires is another concern exacerbated by these conditions.

The User Analysis of Amazon Using Artificial Intelligence at Customer Churn

Customer churns remains a key focus in this research, using artificial intelligence-based technique of machine learning. Research is based on the feature-based analysis four main features were used that are selected on the basis of our customer churn to deduct the meaning full analysis of the data set. Data-set is taken from the Kaggle that is about the fine food review having more than half a million records in it. This research remains on feature based analysis that is further concluded using confusion matrix. In this research we are using confusion matrix to conclude the customer churn results. Such specific analysis helps e-commerce business for real time growth in their specific products focusing more sales and to analyze which product is getting outage. Moreover, after applying the techniques, Support Vector Machine and K-Nearest Neighbour perform better than the random forest in this particular scenario. Using confusion matrix for obtaining the results three things are obtained that are precision, recall and accuracy. The result explains feature-based analysis on fine food reviews, Amazon at customer churn Support Vector Machine performed better as in overall comparison.

SIT.net: SAR Deforestation Classification of Amazon Forest for Land Use Land Cover Application

The process of turning forest area into land is known as deforestation or forest degradation. Reforestation as a fraction of deforestation is extremely low. For improved qualitative and quantitative classification, we used Sentinel-1 dataset of State of Para, Brazil to precisely and closely monitor deforestation between June 2019 and June 2023. This research aimed to find out suitable model for classification called Satellite Imaging analysis by Transpose deep neural transformation network (SIT-net) using mathematical model based on Band math approach to classify deforestation applying transpose deep neural network. The main advantage of proposed model is easy to handle SAR images. The study concludes that SAR satellite gives high-resolution images to improve deforestation monitoring and proposed model takes less computational time compared to other techniques.

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.

Other Cities’Distribution Institutions for Publishing Books in Modern Chinese Libraries:Taking Huating Bookstore,the Shanghai General Distribution Office of Modern Zhejiang Library,as an Example

Many modern Chinese libraries have established distribution agencies in other cities to distribute books published or sold on consignment.Huating Bookstore,which was once the Shanghai General Distribution Office of Zhejiang Library in modern times,is one of them.On the basis of a brief description of modern Zhejiang Library and its book publishing,as well as the overview of Huating Bookstore,the paper introduces and analyzes the ZPL Publishing Book Catalogue sent by Huating Bookstore,and the ZPL publishing and selling consignment books issued by Huating Bookstore.It points out that Huating Bookstore is a bridge between the ZPL located in Hangzhou and various retail ZPL publishing bookstores in Shanghai.Their production and sales relationship is a mutually beneficial one.

BOOKS

SNAPSHOTS OF NOTABLE BOOKS ON AFRICA.Africa’s Fashion Diaspora By ELIZABETH WAY Yale University Press.The author,Elizabeth Way,associate curator of costume at The Museum at the Fashion Institute of Technology,is the curator behind Africa’s Fashion Diaspora(2024).She has also curated several prominent exhibitions.Africa’s Fashion Diaspora is among the first books to delve into the vast influence of the African Diaspora on global fashion.

New Books

Travel in Northern Xizang(Revised Edition of 2024)Author:Ma Lihua.This book is one of the series of books about Ma Lihua's trip to Xizang.It describes the nomadic culture,festivals and daily life of local people,and the vast and magnificent scenery in northern Xizang.Published by China Tibetology Publishing House(ISBN:9787521105094).

Management and Construction of University Books and Materials Under the Background of the Internet

The rapid development and popularization of Internet technology has provided important support for the informatization reform of various industries.University books and materials have the characteristics of large quantities and difficult storage and management.Its digital storage and management platform construction can effectively realize the digital storage and real-time retrieval of books and materials,and help students and teachers to find and use books and materials more quickly.Especially in recent years,with the update of intelligent platforms and other technologies,the resource-sharing platform of university books and materials can realize more convenient book information retrieval without the limitation of time and space.This paper mainly explores the optimization path and platform construction scheme of university libraries and information management under the background of the Internet,hoping to provide some theoretical references for university library managers.

Amazon药房:链接线上线下一条龙服务

Amazon药房的登场,将增加医疗设施较少地区的老年群体得到治疗的机会,此项业务将成为WELCIA健康管理的利器。日本快速成长起来的处方调剂配药市场在2023年度的市场规模是79,200亿日元。其中通过药妆店连锁途径销售的有14,000亿日元,而专业调剂配药连锁企业销售排行前七强合计销售业绩是12,700亿日元。这两项共计26,700亿日元,占整体市场份额的34%,也是调剂配药市场的核心力量。

Optimization and Innovation of the Operation Model of Mobile Social E-commerce under AI Empowerment:Taking the Female Community Platform“Little Red Book”as an Example

This article takes the female community platform“Little Red Book”as an example to explore the optimization and innovation of mobile community e-commerce operation mode under Artificial Intelligence(AI)empowerment.Firstly,the relevant concepts were defined,and then the unique attributes of mobile community e-commerce were analyzed.As a typical representative of mobile community e-commerce,Little Red Book introduces the background and characteristics of its platform,analyzes its mobile community operation mode,and focuses on exploring how to establish a mobile community e-commerce platform and effective operation mode under the empowerment of AI technology,to provide some reference and inspiration for the development and operation of Little Red Book and other e-commerce platform enterprises.

亚马逊(Amazon):客户驱动与自我更新的文化力量

1994年的西雅图,一位满怀创业激情的年轻人,在自家车库中燃起了亚马逊(Amazon)的星星之火。自那时起,亚马逊从一家普通的在线书店,踏上了一段从车库直至全球电商霸主的非凡旅程。这不仅是一个商业故事,更是一段关于企业文化塑造公司命运的瑰丽篇章。

Analysis of New Senior English for China Student’s Book 1

This article will firstly discuss the context overview of English teaching and learning in China. Under thiscircumstance, a problematic element will be examined of the New Senior English for China Student’s Book 1 and critical appraisal ofhow this element relates to other elements of curriculum development will be analyzed. The recommended changes and demonstrationmechanisms for evaluating the changes are put forward in the last two parts.

基于LDA主题模型的中国图书出口效果研究——以亚马逊海外读者评论为例

中华文化通过图书走向世界舞台,是提高国家文化软实力、讲好中国故事、塑造良好国家形象的有效途径。通过Python语言工具对美国亚马逊网站上的中国图书评论数据进行分析,构建LDA主题模型,探讨中国图书出口效果,深入挖掘海外读者对中国出口图书的认知评价。研究发现,海外读者对中国图书的关注点集中于内容评价、翻译理解、服务体验、中国元素、题材情节5个方面。针对以上关注点,从图书内容、出版传播、读者反馈等角度提出了具有实践价值的建议,为推动中国图书高质量出口提供了理论参考和解决思路。

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。

Evaluating the weekly changes in terrestrial water storage estimated by two different inversion strategies in the Amazon River Basin

In this study,we estimated the weekly Gravity Recovery and Climate Experiment(GRACE)spherical harmonic(SH)solutions and regional mascon solutions using GRACE-based Geopotential Difference(GPD)data and investigated their abilities in retrieving terrestrial water storage(TWS)changes over the Amazon River Basin(ARB)from January 2003 to February 2013.The performance of the weekly GPD-SH and GPDmascon solutions was evaluated by comparing them with the weekly GFZ-SH solutions,Global Land Data Assimilation Systems(GLDAS)-NOAH hydrological model outputs,and monthly GFZ-SH,GPD-SH,and CSRmascon solutions in the spatio-temporal and spectral domains.The results demonstrate that the weekly GPD-SH and GPD-mascon present good consistency with the weekly GFZ-SH solutions and GLDAS-NOAH estimates in the spatio-temporal domains,but GPD-mascon presents stronger signal amplitudes and more spatial details.The comparison of the monthly average of weekly estimates and monthly solutions demonstrates that the weekly GPD-mascon and GFZ-SH with DDK1 filtering are close to the monthly CSRmascon and GFZ-SH solutions,respectively.However,the signal amplitudes of TWS changes from GPD-SH and GFZ-SH with 650 km Gaussian filtering are smaller than the monthly solutions,and the corresponding Root Mean Square Errors between the TWS change time series from the monthly average of weekly solutions and monthly estimates are 18.12 mm(GPD-mascon),18.81 mm(GFZ-SH-DDK1),24.93 mm(GPDSH-G650km),and 33.07 mm(GFZ-SH-G650km),respectively.Additionally,the TWS change time series derived from weekly solutions present more high-frequency time-varying information than monthly solutions.Furthermore,the 300 km Gaussian filtering can improve the signal amplitudes of TWS changes from the weekly GPD-SH solutions more than those with 650 km Gaussian filtering,but the corresponding noise level is higher.The weekly GPD-SH and GPD-mascon solutions can extend the application scopes of GRACE and provide good complements to the current GRACE monthly solutions.

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.

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。