Literature Review on the Impact of Blockchain Technology on Resource Allocation Efficiency

With the rapid development of Internet technology,the importance of blockchain technology has become increasingly prominent.Faced with this situation,extensive research has been carried out at home and abroad.Through the analysis of relevant literature on blockchain in recent years,it is found that there are many research results of blockchain technology in medical care,finance,education,etc.,but its application in the field of resource allocation efficiency is rare.From the existing studies on the influencing factors of resource allocation efficiency in China,it is found that there are significant differences in resource allocation efficiency between China and some developed countries or between various provinces and cities of China.

Human Resource Management and Quality Assurance System to achieve Competitive Advantage

This study aims at the role of human resources management and quality assurance system to achieving the competitive advantage for the organization.Human resource management are the most important component among the organization’s components,because,even an organization owns all other resources(materials,financial,technological)without the appropriate,skilled and experienced human resources,failure will be the expected result.Addressing By the Mobilis Telecom company,the study and through exploring the recruitment resources and methods that used by the company,in hiring the best employees,and the role of these methods in achieving the competitive advantage in Telecommunications sector.The findings of the study were that the company success in the recruitment process was relying on the employment agencies,firstly and on the universities,secondly.Also the company aimed on maintaining quality assurance system through recruiting method that based on Telecommunications experience and advancement in studying.In order to achieve the competitive advantage,the Company focused on innovation and creating new products and services for its clients.The statistical analysis proved that there is a strong relationship between recruitment resources used by the Company and achieving the competitive advantage,Also a relationship between the quality assurance system of the employees and the ability to gain the competitive advantage.

Enhancing Evapotranspiration Estimation: A Bibliometric and Systematic Review of Hybrid Neural Networks in Water Resource Management

Accurate estimation of evapotranspiration(ET)is crucial for efficient water resource management,particularly in the face of climate change and increasing water scarcity.This study performs a bibliometric analysis of 352 articles and a systematic review of 35 peer-reviewed papers,selected according to PRISMA guidelines,to evaluate the performance of Hybrid Artificial Neural Networks(HANNs)in ET estimation.The findings demonstrate that HANNs,particularly those combining Multilayer Perceptrons(MLPs),Recurrent Neural Networks(RNNs),and Convolutional Neural Networks(CNNs),are highly effective in capturing the complex nonlinear relationships and tem-poral dependencies characteristic of hydrological processes.These hybrid models,often integrated with optimization algorithms and fuzzy logic frameworks,significantly improve the predictive accuracy and generalization capabilities of ET estimation.The growing adoption of advanced evaluation metrics,such as Kling-Gupta Efficiency(KGE)and Taylor Diagrams,highlights the increasing demand for more robust performance assessments beyond traditional methods.Despite the promising results,challenges remain,particularly regarding model interpretability,computational efficiency,and data scarcity.Future research should prioritize the integration of interpretability techniques,such as attention mechanisms,Local Interpretable Model-Agnostic Explanations(LIME),and feature importance analysis,to enhance model transparency and foster stakeholder trust.Additionally,improving HANN models’scalability and computational efficiency is crucial,especially for large-scale,real-world applications.Approaches such as transfer learning,parallel processing,and hyperparameter optimization will be essential in overcoming these challenges.This study underscores the transformative potential of HANN models for precise ET estimation,particularly in water-scarce and climate-vulnerable regions.By integrating CNNs for automatic feature extraction and leveraging hybrid architectures,HANNs offer considerable advantages for optimizing water management,particularly agriculture.Addressing challenges related to interpretability and scalability will be vital to ensuring the widespread deployment and operational success of HANNs in global water resource management.

Academic health sciences libraries as connectors to knowledge beyond literature

Libraries at large academic medical centers in the United States are undergoing a transformation from their traditional role as knowledge repositories to a new role as connectors to knowledge. This transformation is fueled by the move away from library-held print resources as the primary source of information used by researchers,clinicians and students. Knowledge resources critical to the missions of academic medical centers now include online books and journals,very large data sets,software tools,and expertise far beyond the walls of the library. This article illustrates how Bernard Becker Medical Library at Washington University in St. Louis has seized the opportunity to recast itself as a connector to knowledge beyond literature and strengthen its vital role within the university as a catalyst for learning and discovery.

Quality Assurance in Wound Management in a Developing Country: How Satisfied Are Our Patients?

Background: Quality is important in every setting especially in the health service where the needs of patients should be an utmost priority. However, this is sometimes not the situation in most health care centres due to increasing stress because of inadequate resources and increasing demands for services. This present study seeks to assess quality assurance in the management of wounds. Method: A descriptive survey involving 280 participants;data was collected using structured questionnaire. The questionnaires included some quality indicators which were used to assess the quality of care patients received from the health facility. Results: Out of the 280 participants, females were 57.1% (n = 160) and males, 42.9% (n = 120). Ages of the participants ranged from 15 - 70+ years with a mean age of 35.8 ± 1.5;28.6% (n = 80) of staff had an excellent attitude while 5.7% (n = 16) had a fair attitude. The condition of 112 did not require surgery (40.0%), however, out of the 168 who underwent surgery, 32 (19.0%) were not satisfied while 136 (81.0%) were satisfied. Also, 97.1% (n = 272) were accorded privacy, 51.4% (n = 144) were assured of confidentiality, 48.6% (n = 136) were educated on diagnoses and treatment, 91.4% (n = 256) understood pharmacy instruction, 57.1% (n = 160) were satisfied with time spent in the facility, 97.1% (n = 272) were not shun by nurses because of their wounds. Conclusion: Patient satisfaction should be the priority of all persons working in the health facility. In accessing quality service, patient satisfaction can be met if quality assurance measures are put in place. This quality assurance measures should include all units of the health delivery system since it would help to ensure judicious use of resources in order to meet the health needs of patients.

Development of university Document Resources Construction for the background of information services

The arrival of the information age, especially development and popularization of digital and network, which fundamentally changes the development process of the library, the library＇ s status as Literature Resource Center has been hit. As the core work of the Library Document Resources Construction in concepts, content structure and evaluation etc. also undergone profound changes, a series of new problems have taken out, which we need to think and solve. In this passage, we discussed from the problem facing of Document Resources Construction work in the digital environment and how to deal with these challenges.

文献信息资源用户泛在化标注模式研究

文献资源是数字图书馆最重要的信息资源,然而当前文献信息资源泛在服务能力不足问题凸显。研究以学术论文为文献信息资源代表,提出用户泛在化标注体系。首先,基于文献调研法和德尔菲法构建用户泛在化标注体系,设计用户泛在化标注系统收集标注者、标注行为和标注内容数据;然后,使用统计分析、时间序列分析等方法进行特征揭示,根据用户标注数据分析标注者个体特征、标注内容分布及演化特征;最后,研究采用用户实验和问卷相结合的方法开展用户阅读实验,验证用户泛在化标注体系的有效性,评估用户泛在化标注、传统分类主题标注的学术论文阅读效果是否存在差异。研究发现:用户泛在化标注体系多维揭示了学术论文的内容特征与形式特征,获得较高用户满意度。用户泛在化标注是对传统分类主题标注的重要补充,探索用户泛在化标注模式有助于改善用户阅读体验,提升学术资源泛在服务能力。

农林类高校英语文学导论课程的探索及实践

《新文科建设宣言》的发布前所未有提升文科教育的地位,基于《高等学校外国语言文学类专业本科教学质量国家标准》和《普通高等学校本科英语专业教学指南》,英语专业人才培养方案把英语文学导论列为英语专业核心课程。基于该课程存在的问题,如目标与批判性思维脱离、学习与生活脱离及科研反哺教学不足等教学痛点问题,笔者在云南农业大学坚持守正创新的思想,从教学内容、教学资源、教学模式和教学评价四方面对该课程进行一系列探索和实践。目前从学生对课程的满意度,提升学生综合素质,以及教研相长等方面已看到成效,具有良好的实践意义。

The modern context and ancient resources of Chinese literature

To enter into and utilize the resources of ancient literature is a necessity for literary modernity. In the twentieth century, modern Chinese literature generally adopted four paradigms in pursuit of this objective： the socio-political paradigm that viewed traditional literature in terms of ＂quintessence-dross＂ under the guidance of the Marxist doctrine of the critical inheritance of cultural heritage; the ＂spiritual awakening＂ paradigm that, being inspired by Western schools of thought such as hermeneutics, viewed traditional literature as ＂the source of new literature＂; the scientific-aesthetic paradigm that viewed traditional literature as combining scientific interpretation and modern aesthetics and focused on interpretation, transformation, innovation and creation from within; and the folk paradigm that viewed literary tradition as a narrative of daily life demonstrating the way in which ancient and modern literature were connected in a cultural whole. What is important in the complementary and competitive development of these coexisting paradigms is highlighting ＂problem consciousness＂ in ＂interaction＂ and ＂original creation＂ and the reconstruction of the value of real human life through entering into and reactivating the resources of ancient literature.

Research on the Human Resource Management Mode based on Competency Model

In this paper, we conduct in-depth research on the human resource management mode based on competency model. Treatment of competency is defined based on the previous scholars, this paper defines enterprise top management competency as can change the performance is outstanding person in senior management positions in companies and generally do distinguish individual potential. Corporate culture has a strong and lasting soft binding, plays an important role in modem enterprise management. The numerical analysis supports the effectiveness and feasibility of the model. In the future, we will conduct more related work to optimize the current theory.

东北抗联红色文献数据资源开发利用研究

文章调研分析东北抗联红色文献数据资源建设现状,指出建设水平参差不齐、内容缺乏深度整合、数据壁垒妨碍资源共享、数据资源展示形式单一等问题,并提出东北抗联红色文献数据资源开发利用策略,即扩充原始文献,推进系统性数字化开发;强化整合重聚,促进数据资源再生创造;丰富展示形式,探索数字化场景应用;分步推进实施,构建全国统一资源平台;转变思维观念,提升文献资源的开放性。

安徽地方高校图书馆红色文献资源建设与推广

红色文献是红色文化的重要载体。安徽红色文献资源底蕴厚重,建设推广红色文献,传承发扬红色传统,可为实现新时代安徽高质量发展提供强大的精神动力。文章探讨了红色文献的范围界定,从人、事、物、魂四方面概括了安徽地方高校红色文献资源的特点,提出了安徽地方高校图书馆红色文献资源建设与推广的具体路径。

交叉学科文献资源保障体系研究——以云冈学文献资源保障体系为例

交叉学科文献具有边界模糊、难界定等特点。文章以新兴交叉学科云冈学的文献资源保障体系为例,分析阐述了其存在的问题与建设内容,并据此提出交叉学科文献资源保障体系建设策略,即科学分析,广泛搜集文献;确定原则,明确建设目标;联合保障,创新组织形式;搭建平台,开展智慧服务;全面评价,提升服务水平。

AI就绪的科技情报数据资源建设模式研究

[目的/意义]AI就绪建设是连接当前先进AI技术与应用场景之间发展间隔的重要举措,本研究旨在探讨和设计科技情报领域的AI就绪的科技情报数据资源建设方法,为情报领域的AI就绪建设提供参考。[方法/过程]本研究基于国内外各界AI就绪发展现状的调研结果,对AI就绪建设进行了初步定义,并从含义范畴、建设角度、建设对象、建设原则、控制维度和模式类型六大方面对科技情报领域的AI就绪建设模式进行系统地探讨和设计。[结果/结论]当前全球AI发展迅速,科技情报领域作为科学研究与先进技术应用的前沿观察与战略指导性学科,应当建立AI就绪的科技情报数据资源体系。研究提出了AI就绪的科技情报数据资源建设的总模式,并结合现有建设实践探讨并呈现科技情报数据资源AI就绪化建设的具体实践路径。

NSTL科技文献资源分类体系构建研究

相对科学的分类体系是实现科技文献资源学科特征有效揭示的重要依据。面向国家科技图书文献中心(National Science and Technology Library,NSTL)资源集成与知识服务的总体需求,通过主体及重点学科揭示、多体系融合、多维同位类设置、多学科列类、新兴学科类目扩展、综合性类目设置、双重语义编码等方法,编制可基本覆盖NSTL主体资源的NSTL科技文献分类体系,共包含61个基本大类,类目深度为4~5级,类目数达5350个。同时建立与现用核心分类体系的映射关系,支撑资源分类数据规范处理、馆藏目录系统服务等方面的应用。该分类体系可支撑国家重点扶持产业资源保障分析与学科布局评估。

协同用户构建个人学科文献资源空间初探——以博硕士学位论文开题为例

文献信息资源海量增长,给信息全面准确获取带来了一定难度,有一部分用户对自己研究方向的信息资源了解不够清晰,或者用户想全面掌握某些学科、研究方向的经典文献,而图书馆可提供丰富的文献信息资源和精准的文献检索服务,保证资源查找全面准确。博硕士研究生学位论文开题阶段是其撰写学位论文的重要开端,是构建个人学科资源空间的起点,也是个人信息素质养成的重要时期。本研究调研了国内外高校图书馆文献检索服务的相关文献和具体实施情况,深入研究北京大学图书馆开题文献检索服务现阶段的工作内容和实施成效,并对未来工作进行了展望。

转型视角下研究型图书馆文献资源建设重点内容与发展趋势

在数字驱动与高质量发展时代,图书馆文献资源建设面临着新的挑战与转型要求。文章选取全球主要的图书馆协会/学会及2023年ARWU排名前100的研究型图书馆作为研究对象,分析其最新战略规划、政策文本、行动纲要中对文献资源建设的论述,从技术、管理、服务、内容四个层面探讨文献资源建设的重点领域,并归纳研究型图书馆文献资源建设的发展趋势。

数智时代高校图书馆整合红色文献资源促进学生思政培育研究

红色文献作为我国珍贵的历史遗产,具有极高的教育价值和研究价值。数智时代,高校图书馆在整合红色文献资源和促进学生思政培育中发挥着关键作用。通过分析数智时代图书馆理论研究和图书馆红色文化资源理论研究情况,阐述了数智时代图书馆整合红色文献资源的优势,明确了促进学生思政培育的策略。

基于生成式大语言模型的文献资源自动分类研究

[目的/意义]探索有效提高文献资源自动层次分类和跨语言分类效果的方法。[方法/过程]将文献资源分类视为分类号生成任务,利用图书馆编目数据构造训练集和测试集,基于ChatGLM 3、Llama 2等大语言模型在训练集上进行模型的高效微调,并在中英文测试集上分析模型的分类效果。[结果/结论]在不同的输出格式中,微调大语言模型使其直接输出分类号,可以获得最优的分类效果;随着训练样本数量的增加,微调后的大语言模型分类效果不断提升;基于22000个样本微调的大语言模型在中图法一级类目和完整分类号的准确率分别可达0.8848、0.5076,优于通用大语言模型;在中文文献上训练的大语言模型可以有效地分类英文文献,分类效果仅比中文文献略低;大语言模型生成的分类号中有少量不是有效的中图分类号。

以展览为核心的近代文献阅读推广模式研究——以《光辉的历程——在近代文献中探寻党代会历史》为例

文章以《光辉的历程——在近代文献中探寻党代会历史》为例,总结和探讨上海图书馆《全国报刊索引》以展览为核心的阅读推广模式,认为这种模式突破图书馆范围,对于数据库厂商等其他主体开展展览形式的阅读推广具有复用性。同时,对展览未来的发展和提升提出建议和展望。