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.

基于SSD与FaceNet的人脸识别系统设计

人脸识别技术广泛应用于考勤管理、移动支付等智慧建设中。伴随着常态化的口罩干扰,传统人脸识别算法已无法满足实际应用需求,为此,本文利用深度学习模型SSD以及FaceNet模型对人脸识别系统展开设计。首先,为消除现有数据集中亚洲人脸占比小造成的类内间距变化差距不明显的问题,在CAS-IA Web Face公开数据集的基础上对亚洲人脸数据进行扩充;其次,为解决不同口罩样式对特征提取的干扰,使用SSD人脸检测模型与DLIB人脸关键点检测模型提取人脸关键点,并利用人脸关键点与口罩的空间位置关系,额外随机生成不同的口罩人脸,组成混合数据集;最后,在混合数据集上进行模型训练并将训练好的模型移植到人脸识别系统中,进行检测速度与识别精度验证。实验结果表明,系统的实时识别速度达20 fps以上,人脸识别模型准确率在构建的混合数据集中达到97.1%,在随机抽取的部分LFW数据集验证的准确率达99.7%,故而该系统可满足实际应用需求,在一定程度上提高人脸识别的鲁棒性与准确性。

Library-Inside:AI赋能图书馆新质生产力的一种基础模型

AI正引发知识服务的生产力×生产关系的革命性变革,迫切需要推动AI与图书馆服务深度融合,打造符合新的发展理念的先进生产力质态。本文提出,从第一性原则思维出发,面向复杂适应性系统,以问题驱动和场景驱动的创新和设计驱动的创新,不断演进发展AI赋能的图书馆服务的新质生产力。在回归原点分析“人们到图书馆干什么”的基础上,基于大语言模型+AI智能体提供的能力,提出Library-Inside作为AI赋能图书馆新质生产力的一种基础模型,并描述了三种可能的实现模式:Library-Inside 1.0作为用户知识应用的智能助手,Library-Inside 2.0作为用户知识生产的智慧座舱和Library-Inside 3.0(Library×)打造用户AI赋能知识生产力的生态养育站。本文指出,要以战略创新推动图书馆新质生产力发展,要注意克服战略创新中的内在的结构性缺失和系统性偏差。

基于YOLO5Face重分布的小尺度人脸检测方法

针对复杂场景下小尺度人脸检测精度较低的问题,提出了一种基于YOLO5Face重分布的小尺度人脸检测方法。方法以YOLO5Face为基础,在网络浅层引入改进的CBAM注意力并对模型计算重分布,提升复杂场景下小尺度人脸检测精度的同时降低模型参数量;采用融合mixup的数据增强方法,充分训练模型小尺度人脸检测分支;依据人脸检测特性,将softmax损失作为分类损失以最大化类间特征的差异。在WiderFace各个子集上的实验结果表明,与主流人脸检测方法相比,改进后的模型满足实时性的同时,小尺度人脸检测精度较高,其中Hard子集检测精度比YOLO5Face提升2个百分点。

The Role of Library and Information Science Education in the Development of Community Health Information Services for People Living with HIV/AIDS: Perspectives of Directors and Managers of Public Libraries

This article identifies the role of library and information science (LIS) education in the development of community health information services for people living with HIV/AIDS (PLWHA). Preliminary findings are presented from semi- structured qualitative interviews that were conducted with eleven directors and managers of local branches in the Knox County Public Library (KCPL) System that is located in the East Tennessee region in the United States. Select feedback reported by research participants is summarized in the article about strategies in LIS education that can help local public librarians and others in their efforts to become more responsive information providers to PLWHA. Research findings help better understand the issues and concerns regarding the development of digital and non-digital health information services for PLWHA in local public library institutions.

A text to speech interface for Universal Digital Library

The objective of Universal Digital Library (UDL) is to capture all books in digital format. A text to speech (TTS) interface for UDL portal would enable access to the digital content in voice mode, and also provide access to the digital content for illiterate and vision-impaired people. Our work focuses on design and implementation of text to speech interface for UDL portal primarily for Indian languages. This paper is aimed at identifying the issues involved in integrating text to speech system into UDL portal and describes the development process of Hindi, Telugu and Tamil voices under Festvox framework using unit selection techniques. We demonstrate the quality of the Tamil and Telugu voices and lay out the plan for integrating the TTS into the UDL portal.

VR/AR-AdaptFace:面向虚拟现实与增强现实的自适应多模态面部替换模型

随着VR/AR技术的迅猛发展,用户对于沉浸式体验的需求日益增长。同时,虚拟人脸技术亦趋成熟。基于此,本文探索将高度拟真的虚拟人脸融入VR/AR,以增强用户体验的自然度与沉浸感。然而,在虚拟数字人领域,图像生成及换脸技术在VR/AR环境下仍遇诸多挑战,尤其是唇形合成模型在动态场景及多语言环境下的性能需进一步优化。为解决上述问题,本文提出VR/AR-AdaptFace模型,一个面向虚拟现实与增强现实的自适应多模态面部替换方案。该模型由两大模块构成:“文颜绘真”模块,采用先进的文本至图像转换技术和特定类别先验保存策略,优化虚拟人脸生成,并通过注意力机制大幅提升图像质量;“语唇映生”模块,依托强大的生成器、唇形同步判别器及视觉质量判别器,实现语音与唇形的精准同步,为VR/AR场景中的动态交互带来更加逼真的体验。

基于改进YOLOv5s-face的Face5系列人脸检测算法

针对人脸检测中小尺度人脸和遮挡人脸的漏检问题,提出了一种基于改进YOLOv5s-face(you only look once version 5 small-face)的Face5系列人脸检测算法Face5S(face5 small)和Face5M(face5 medium)。使用马赛克(mosaic)和图像混合(mixup)数据增强方法,提升算法在复杂场景下检测人脸的泛化性和稳定性;通过改进C3的网络结构和引入可变形卷积(DCNv2)降低算法的参数量,提高算法提取特征的灵活性;通过引入特征的内容感知重组上采样算子(CARAFE),提高多尺度人脸的检测性能;引入损失函数WIoUV3(wise intersection over union version 3),提升算法的小尺度人脸检测性能。实验结果表明,在WIDER FACE验证集上,相较于YOLOv5s-face算法,Face5S算法的平均mAP@0.5提升了1.03%;相较于先进的人脸检测算法ASFD-D3(automatic and scalable face detector-D3)和TinaFace,Face5M算法的平均mAP@0.5分别提升了1.07%和2.11%,提出的Face5系列算法能够有效提升算法对小尺度和部分遮挡人脸的检测性能,同时具有实时性。

Virtual Home Library System—— Let every Chinese family having their own libraries

Virtual Home Library (VHL) is an integrated IT system that utilizes virtual reality technology and an IPTV set-top box (STB) to virtually construct a ‘library’ and the relevant reading environment on televisions in people’s home. Unlike the online e-book reading applications, Virtual Home Library can be applied on televisions – the world’s most convenient and most efficient communication tool. Providing extended digital library services, it will be a perfect group reading utility for family readers. The system has been investigated by a joint research team formed by the National Library of China and the Communication University of China, collaborating with a Chinese IPTV equipment manufacturer. This paper presents some preliminary investigations of the VHL system performed by the research team.

Probabilistic analysis of tunnel face seismic stability in layered rock masses using Polynomial Chaos Kriging metamodel

Face stability is an essential issue in tunnel design and construction.Layered rock masses are typical and ubiquitous;uncertainties in rock properties always exist.In view of this,a comprehensive method,which combines the Upper bound Limit analysis of Tunnel face stability,the Polynomial Chaos Kriging,the Monte-Carlo Simulation and Analysis of Covariance method(ULT-PCK-MA),is proposed to investigate the seismic stability of tunnel faces.A two-dimensional analytical model of ULT is developed to evaluate the virtual support force based on the upper bound limit analysis.An efficient probabilistic analysis method PCK-MA based on the adaptive Polynomial Chaos Kriging metamodel is then implemented to investigate the parameter uncertainty effects.Ten input parameters,including geological strength indices,uniaxial compressive strengths and constants for three rock formations,and the horizontal seismic coefficients,are treated as random variables.The effects of these parameter uncertainties on the failure probability and sensitivity indices are discussed.In addition,the effects of weak layer position,the middle layer thickness and quality,the tunnel diameter,the parameters correlation,and the seismic loadings are investigated,respectively.The results show that the layer distributions significantly influence the tunnel face probabilistic stability,particularly when the weak rock is present in the bottom layer.The efficiency of the proposed ULT-PCK-MA is validated,which is expected to facilitate the engineering design and construction.

Rock mass quality prediction on tunnel faces with incomplete multi-source dataset via tree-augmented naive Bayesian network

Rock mass quality serves as a vital index for predicting the stability and safety status of rock tunnel faces.In tunneling practice,the rock mass quality is often assessed via a combination of qualitative and quantitative parameters.However,due to the harsh on-site construction conditions,it is rather difficult to obtain some of the evaluation parameters which are essential for the rock mass quality prediction.In this study,a novel improved Swin Transformer is proposed to detect,segment,and quantify rock mass characteristic parameters such as water leakage,fractures,weak interlayers.The site experiment results demonstrate that the improved Swin Transformer achieves optimal segmentation results and achieving accuracies of 92%,81%,and 86%for water leakage,fractures,and weak interlayers,respectively.A multisource rock tunnel face characteristic(RTFC)dataset includes 11 parameters for predicting rock mass quality is established.Considering the limitations in predictive performance of incomplete evaluation parameters exist in this dataset,a novel tree-augmented naive Bayesian network(BN)is proposed to address the challenge of the incomplete dataset and achieved a prediction accuracy of 88%.In comparison with other commonly used Machine Learning models the proposed BN-based approach proved an improved performance on predicting the rock mass quality with the incomplete dataset.By utilizing the established BN,a further sensitivity analysis is conducted to quantitatively evaluate the importance of the various parameters,results indicate that the rock strength and fractures parameter exert the most significant influence on rock mass quality.

广角SS-OCT En Face结构投射图揭示未成年人玻璃体早期液化特征

目的:应用广角扫频源光学相干断层扫描成像(swept-source optical coherence tomography,SS-OCT)的en face结构投射图研究玻璃体早期液化特征。方法:使用SS-OCT进行18 mm×18 mm的容积(Cube)扫描,创建并分析健康未成年人(年龄5~18岁)70眼的系列玻璃体en face结构投射图。结果:在未成年人中,视网膜前的玻璃体包含4种液化结构,分别为后皮质前玻璃体囊袋(posterior precortical vitreous pocket,PPVP)、视盘前Martegiani区(the area of Martegiani,AM)、血管前液化裂隙(prevascular vitreous fissures,PVF)和液化池(cistern)。所有研究眼均能检出PPVP、AM和PVF,其中22眼(31.4%)的PPVP和AM连通。41眼(58.6%)可检出液化池,且其年龄大于未检出液化池的个体(P=0.01),液化池的发生与年龄呈正相关(r_(s)=0.315,P=0.008)。液化池的象限空间分布频率依次为颞上(90.2%)、鼻上(58.5%)、颞下(36.6%)、鼻下(24.4%),最常累及颞上象限(P<0.001)。结论:PPVP、AM和PVF是健康人群视网膜前玻璃体早期液化过程中均出现的特征。液化池的发生与年龄呈正相关,最常出现在颞上象限,可能是年龄相关性玻璃体液化变性的结果。

From New Media to Cloud Service,Can Independent College Libraries Face It Calmly?—Based on the Investigation and Analysis of Relevant Applications of Independent College Libraries in Jiangsu Province

The emergence and application of new media are both opportunities and challenges for the development of libraries.In light of statistical analysis of development and use of new media platform tools such as the library portal websites of independent colleges in Jiangsu Province,WeChat,MicroBlog,and mobile libraries,etc.,the author in this paper is aimed at studying independent college libraries’self-development level and innovation of service models under the new information network environment as well as how to win favorable time and space so as to easily face the advent of cloud service era.

Build A “Domestically Best and World Leading” Library——An Interview With Sun Yigang, Deputy Librarian of the National Central Library

Statistics show that, in 2016, the National Central Library had has more than 1.27 million books, 36.46million volumes of documents, 1323 TB of digital resources, nearly 5.64 million visitors, nearly 25 million copies of literature and held 4,400 social education activities including exhibitions, lectures, training,universal reading and art popularization, benefiting more than 1.73 million people. All these figures reveal the achievements of the National Central Library in enriching the collection resources and providing public cultural services in the past five years.

Construction and diversity analysis of a murine IgEphage surface display library

To make further investigation of the IgE antibodyrepertoire in Trichosanthin (TCS) allergic responses, amurine IgE phage surface display library was constructed(3.0×105 independent clones). We first constructed theVe cDNA library (4.6×105 independent clones) and VκcDNA library (3.0×105 independent clones). Then, theVε and Vκ gene segments were amplified from both libraries by PCR respectively, and assembled into Fab fragment by SOE PCR. The phage library containing Fabs wasthus constructed. The diversity of Vε from this library wasanalyzed and proved. Fab clones with high specificity toTCS have been screened out.

VanillaFaceNet:一种高精度快速推理的牛脸识别方法

快速精准确定牛只身份对于牛只活体贷款,改善牛只骗保等问题具有重要意义。针对不同牛只面部差异小,FaceNet网络层数深,推理速度较慢,模型分类精度不足等问题,该研究提出了基于FaceNet的牛脸识别方法-VanillaFaceNet。该方法首先将FaceNet的主干特征提取网络替换为极简网络VanillaNet-13并提出动态激活和增强型线性变换的激活函数两种方法提高网络的非线性;然后,提出一种新的DBCA(dual-branch coordinate attention)注意力模块,能够更好地反映不同牛只面部特征之间的差异,从而提高网络的识别精度;最后,针对triplet loss仅能减小牛只类间差异的问题,采用center-triplet loss联合监督来减少牛只类内差异,从而提高了相同牛只身份比对的准确性。基于自建的牛脸数据集对该模型进行训练和测试,试验结果表明,VanillaFaceNet对牛只识别的准确率达到88.21%,每秒传输帧数为26.23帧。与FaceNet、MobileFaceNet、CenterFace、CosFace和ArcFace算法相比,本文算法的识别准确率分别提高了2.99、9.58、6.26、3.85和4.49个百分点,推理速度分别提升了2.67、0.77、0.10、1.28和0.94帧/s。该模型对牛只有较为优秀的识别效果,适于在嵌入式设备上部署,实现了牛只面部识别精度和推理速度之间的平衡。

In search of service innovations by public libraries in Chinese urban centers:A case study of Dongguan Library

This article introduces several of the more significant service delivery innovations and their resulting accomplishments instigated by Dongguan Library(thereafter abbreviated as DGL) in recent years. The textual exposition of this paper is based on a case study of DGL by this author about its user-centered vision, mission, immediate objectives and the exhibited service performance within a contextual environment of collegial support from its professional peers. After a five-year period of intensive efforts on such focused professional development and practice, DGL has completed its information service mapping and information delivery for the entire municipality of Dongguan on a 7-day and twentyfour-hour(7/24) basis. This singular feast of accomplishment seems to suggest the moral that any significant development of scale of a municipal library has to be in keeping pace closely with the progress of the society at large in general and with the changing information demands of its local clientele in particular.

The practice and reflection of providing the Interlibrary Loan and Document Delivery Services in Vocational Colleges libraries

Abstract ： Interlibrary Loan and Document Delivery Service is the major form for libraries to share resources.The librairies of universities or colleges can better guarantee the supply of document information ,accommodating to users＇ need for documents to the greatest extent.This article elaborates on the definition of Interlibrary Loan and Document Delivery as well as their significance with a key focus on the Interlibrary Loan and Document Delivery practice of Oriental Vocational and Technical College in Zhejiang, meanwhile it also puts forward some suggestions on how to better practisee the service of lnterlibrary Loan and Document Delivery.

Stability analysis of tunnel face reinforced with face bolts

Face bolting has been widely utilized to enhance the stability of tunnel face,particularly in soft soil tunnels.However,the influence of bolt reinforcement and its layout on tunnel face stability has not been systematically studied.Based on the theory of linear elastic mechanics,this study delved into the specific mechanisms of bolt reinforcement on the tunnel face in both horizontal and vertical dimensions.It also identified the primary failure types of bolts.Additionally,a design approach for tunnel face bolts that incorporates spatial layout was established using the limit equilibrium method to enhance the conventional wedge-prism model.The proposed model was subsequently validated through various means,and the specific influence of relevant bolt design parameters on tunnel face stability was analyzed.Furthermore,design principles for tunnel face bolts under different geological conditions were presented.The findings indicate that bolt failure can be categorized into three stages:tensile failure,pullout failure,and comprehensive failure.Increasing cohesion,internal friction angle,bolt density,and overlap length can effectively enhance tunnel face stability.Due to significant variations in stratum conditions,tailored design approaches based on specific failure stages are necessary for bolt design.

A preliminary study on criteria weights for a library's digital resource selection:From the viewpoints of both users and librarians

Through investigating both users' and librarians' perceptions of the relative importance of the major criteria governing the selection of digital resources, we attempted to develop a criterion weight framework for a library's selection of digital resources, which can meet both the users' requirements and the library's goal of developing digital collections. The respective weight of each specific criterion is decided through the Analytic Hierarchy Process(AHP) Method. The findings of this study indicate that, when assigning weights to the selection criteria, it is important to consult the opinions of a wide crosssection of people, especially the views of different users. As a result, the digital resource selection system characterized by the criteria weights can reflect more comprehensively the users' requirements, and meanwhile it enables librarians' more rational selection of digital resources.