数字协同视角下LAM机构开展数字人文项目的协调机制研究

以数字协同为视角,聚焦图书馆、档案馆、博物馆(LAM)机构开展数字人文项目的协调机制,围绕利益协调、过程协调、文化协调、制度协调4个关键维度进行系统梳理,并探索切实可行的实施路径,以突破当前LAM机构在数字人文项目中的困境,实现资源整合与协同创新。具体而言,要先明确各维度的内涵与重要性,继而深入探讨其在组织管理、资源建设、平台搭建、能力提升及文化塑造等方面的具体应用,以充实协同创新理论体系,为LAM机构的服务转型与能力再造提供有效指导,同时为学术界和相关业界在数字人文领域的发展提供有价值的参考依据。

非遗档案资源的LAM协作开发研究——基于非遗档案资源的开发现状调研

非遗档案是文化遗产资源累积的历史见证者,直接反映非遗活动的基本面貌和传承状况,其开发有利于传承民族文化、构建社会记忆、弘扬民族精神和增强文化自信。基于此,通过网络调研梳理我国非遗档案资源的开发现状,总结出当前非遗档案资源开发存在纵深发展支撑不强、开发水平参差不齐、开发广度深度不足等现实困境,并从理论与实践2个层面阐述LAM协作是非遗档案资源开发的新视角,进而从协同耦合、多元参与、价值挖掘3方面提出非遗档案资源的LAM协作开发策略,以期为非遗档案资源的可持续开发提供有益参考。

LAM机构合作视角下数字人文项目的协调激励机制研究

数字人文项目是推动国家文化数字化战略实施、推进文化治理现代化的重要抓手。然而,多元利益相关者参与带来的协调难题日益凸显,亟须构建科学合理的协调激励机制。基于LAM机构合作视角,在梳理数字人文项目协作基础的前提下,对利益相关者进行分析,并从制度、物质、精神、发展等维度出发,设计协调激励机制,进而提炼该协调激励机制的关键要素与实现路径,力图为数字时代与LAM机构合作开展数字人文项目提供理论支撑和实践指导。

图档博(LAM)与高校红色文化资源协同育人探索

图书馆、档案馆、博物馆作为红色文化资源的重要保存机构和展示平台,与高校一样都承担着在新时代全面加强爱国主义教育的重要职责,因此图档博(LAM)与高校应该通过建立协同合作机制,深入挖掘、有效整合和充分利用三馆红色文化资源,实现红色文化资源与高校协同育人的优势互补与效果最大化。本文在对图档博与高校红色文化资源协同育人进行理论阐释的基础上,重点探究图档博与高校开展红色文化资源协同育人的具体原则和实现路径。

图档博(LAM)红色文化资源协同育人探索

图书馆、档案馆和博物馆作为红色文化资源的重要载体和爱国主义教育基地,承担着在新时代全面加强爱国主义教育的重要职责,应该通过建立协同合作机制,坚持“共建、共享、共育”原则,充分利用现代信息技术,深入挖掘和有效整合三馆红色文化资源,携手实现红色文化资源协同育人的优势互补与效果最大化。

内容、形式、效果:LAM视角下微信推文的质量比较与提升策略

图书馆、档案馆、博物馆作为公共文化服务设施,肩负着提供高质量文化服务和文化产品的使命与责任。近年来,图书馆、档案馆、博物馆以微信公众号推文为工具开展公共文化服务,但是在数字时代背景下微信公众号推文也面临着交互不足、模式单一等问题,亟待转型升级。本文将9个公共文化机构的微信公众号推文作为研究对象,运用多样的方法对图书馆、档案馆、博物馆的微信推文内容、推文形式和传播效果进行研究,总结产生差异的深层次原因,最终发现LAM视角下微信推文的内容质量重于外在形式,因此要面向数字时代重塑LAM微信公众号的功能定位,创作数字态文化服务和文化产品,改变LAM微信推文的传播模式。

LAM红色数据资源共享机理与路径研究

红色数据资源是数字时代下传承红色基因、弘扬红色文化的重要载体。从LAM红色资源的学术研究、政策导向与资源建设实践出发,分析其协同基础与动力因素,提出在原动力、内驱力和外推力的共同推动下,利用CDL-GRA模型剖析现代文化环境下LAM红色数据资源共享的机理,将主体间依赖关系、组织间领导力、主体目标一致、协同情境、需求导向、主体协同能力作为六个关键要素,根据LAM现实需求,提出从构建共享机制、激发共享活力、打造共享平台三方面实现红色数据资源共享,以此促进LAM红色数据资源共享与传播。

国家治理体系下LAM机构的协同策略构建

构建国家治理体系,推动治理能力现代化建设是我国当前重要的战略任务。LAM作为公共文化机构的代表,是推动文化治理现代化的重要主体。在国家治理体系框架下,以治理理论作为指导,系统阐述LAM机构协同的基础、障碍,提出LAM机构协同的基本原则和策略体系,为LAM机构协同的实践发展提供理论指导。

A facile strategy for tuning the density of surface-grafted biomolecules for melt extrusion-based additive manufacturing applications

Melt extrusion-based additive manufacturing(ME-AM)is a promising technique to fabricate porous scaffolds for tissue engi-neering applications.However,most synthetic semicrystalline polymers do not possess the intrinsic biological activity required to control cell fate.Grafting of biomolecules on polymeric surfaces of AM scaffolds enhances the bioactivity of a construct;however,there are limited strategies available to control the surface density.Here,we report a strategy to tune the surface density of bioactive groups by blending a low molecular weight poly(ε-caprolactone)5k(PCL5k)containing orthogonally reactive azide groups with an unfunctionalized high molecular weight PCL75k at different ratios.Stable porous three-dimensional(3D)scaf-folds were then fabricated using a high weight percentage(75 wt.%)of the low molecular weight PCL 5k.As a proof-of-concept test,we prepared films of three different mass ratios of low and high molecular weight polymers with a thermopress and reacted with an alkynated fluorescent model compound on the surface,yielding a density of 201-561 pmol/cm^(2).Subsequently,a bone morphogenetic protein 2(BMP-2)-derived peptide was grafted onto the films comprising different blend compositions,and the effect of peptide surface density on the osteogenic differentiation of human mesenchymal stromal cells(hMSCs)was assessed.After two weeks of culturing in a basic medium,cells expressed higher levels of BMP receptor II(BMPRII)on films with the conjugated peptide.In addition,we found that alkaline phosphatase activity was only significantly enhanced on films contain-ing the highest peptide density(i.e.,561 pmol/cm^(2)),indicating the importance of the surface density.Taken together,these results emphasize that the density of surface peptides on cell differentiation must be considered at the cell-material interface.Moreover,we have presented a viable strategy for ME-AM community that desires to tune the bulk and surface functionality via blending of(modified)polymers.Furthermore,the use of alkyne-azide“click”chemistry enables spatial control over bioconjugation of many tissue-specific moieties,making this approach a versatile strategy for tissue engineering applications.

Repositioning fertilizer manufacturing subsidies for improving food security and reducing greenhouse gas emissions in China

China removed fertilizer manufacturing subsidies from 2015 to 2018 to bolster market-oriented reforms and foster environmentally sustainable practices.However,the impact of this policy reform on food security and the environment remains inadequately evaluated.Moreover,although green and low-carbon technologies offer environmental advantages,their widespread adoption is hindered by prohibitively high costs.This study analyzes the impact of removing fertilizer manufacturing subsidies and explores the potential feasibility of redirecting fertilizer manufacturing subsidies to invest in the diffusion of these technologies.Utilizing the China Agricultural University Agri-food Systems model,we analyzed the potential for achieving mutually beneficial outcomes regarding food security and environmental sustainability.The findings indicate that removing fertilizer manufacturing subsidies has reduced greenhouse gas(GHG)emissions from agricultural activities by 3.88 million metric tons,with minimal impact on food production.Redirecting fertilizer manufacturing subsidies to invest in green and low-carbon technologies,including slow and controlled-release fertilizer,organic-inorganic compound fertilizers,and machine deep placement of fertilizer,emerges as a strategy to concurrently curtail GHG emissions,ensure food security,and secure robust economic returns.Finally,we propose a comprehensive set of government interventions,including subsidies,field guidance,and improved extension systems,to promote the widespread adoption of these technologies.

数智驱动背景下高校LAM机构的智慧交互模式研究

在现代信息技术的高速发展下,数字化时代已逐渐发展为数智化时代,为高校LAM机构的交流与合作提供了新的发展机遇。高校LAM机构合作的研究对于破解图书馆、档案馆、博物馆的合作阻碍,推动LAM机构的共建共享具有重要意义。首先,结合高校LAM机构合作现状,总结其在现阶段存在的问题,并分析高校LAM机构智慧交互的基础。其次,基于数智驱动背景,探究高校LAM机构智慧交互的重要性,寻找这一主题的现实意义。最后,从健全高校LAM资源融通标准、建立高校LAM智慧交互平台以及丰富高校LAM智慧交互内容3个方面提出高校LAM机构的智慧交互路径,以期为高校LAM机构的有机融合提供可行性建议。

LAM融合服务视域下面向青少年的红色文献阅读推广:逻辑理路与模式构建

红色文献是一种宝贵的红色资源,具有重要的思想价值、教育价值、文化价值和时代价值。开展红色文献阅读推广是LAM等公共文化服务机构义不容辞的责任。LAM融合发展趋势为青少年红色文献阅读推广提供了新思路。文章首先对LAM融合服务视域下面向青少年的红色文献阅读推广的理论逻辑、实践逻辑和价值逻辑进行了探讨,进而基于LAM融合服务模式和现有红色文献阅读推广实际,选用政府主导的国家层面协作模式,结合建构主义和系统论等理论,构建“沉浸—体验—互动”的协同模式,并对该模式的内涵进行系统阐释,以期进一步推动青少年红色文献阅读推广事业的蓬勃发展。

Additive manufacturing of micropatterned functional surfaces:a review

Over the course of millions of years,nature has evolved to ensure survival and presents us with a myriad of functional surfaces and structures that can boast high efficiency,multifunctionality,and sustainability.What makes these surfaces particularly practical and effective is the intricate micropatterning that enables selective interactions with microstructures.Most of these structures have been realized in the laboratory environment using numerous fabrication techniques by tailoring specific surface properties.Of the available manufacturing methods,additive manufacturing(AM)has created opportunities for fabricating these structures as the complex architectures of the naturally occurring microstructures far exceed the traditional ways.This paper presents a concise overview of the fundamentals of such patterned microstructured surfaces,their fabrication techniques,and diverse applications.A comprehensive evaluation of micro fabrication methods is conducted,delving into their respective strengths and limitations.Greater emphasis is placed on AM processes like inkjet printing and micro digital light projection printing due to the intrinsic advantages of these processes to additively fabricate high resolution structures with high fidelity and precision.The paper explores the various advancements in these processes in relation to their use in microfabrication and also presents the recent trends in applications like the fabrication of microlens arrays,microneedles,and tissue scaffolds.

Ballistic performance of additive manufacturing 316l stainless steel projectiles based on topology optimization method

Material and structure made by additive manufacturing(AM)have received much attention lately due to their flexibility and ability to customize complex structures.This study first implements multiple objective topology optimization simulations based on a projectile perforation model,and a new topologic projectile is obtained.Then two types of 316L stainless steel projectiles(the solid and the topology)are printed in a selective laser melt(SLM)machine to evaluate the penetration performance of the projectiles by the ballistic test.The experiment results show that the dimensionless specific kinetic energy value of topologic projectiles is higher than that of solid projectiles,indicating the better penetration ability of the topologic projectiles.Finally,microscopic studies(scanning electron microscope and X-ray micro-CT)are performed on the remaining projectiles to investigate the failure mechanism of the internal structure of the topologic projectiles.An explicit dynamics simulation was also performed,and the failure locations of the residual topologic projectiles were in good agreement with the experimental results,which can better guide the design of new projectiles combining AM and topology optimization in the future.

Advances and challenges in direct additive manufacturing of dense ceramic oxides

Ceramic oxides,renowned for their exceptional combination of mechanical,thermal,and chemical properties,are indispensable in numerous crucial applications across diverse engineering fields.However,conventional manufacturing methods frequently grapple with limitations,such as challenges in shaping intricate geometries,extended processing durations,elevated porosity,and substantial shrinkage deformations.Direct additive manufacturing(dAM)technology stands out as a state-of-the-art solution for ceramic oxides production.It facilitates the one-step fabrication of high-performance,intricately designed components characterized by dense structures.Importantly,dAM eliminates the necessity for post-heat treatments,streamlining the manufacturing process and enhancing overall efficiency.This study undertakes a comprehensive review of recent developments in dAM for ceramic oxides,with a specific emphasis on the laser powder bed fusion and laser directed energy deposition techniques.A thorough investigation is conducted into the shaping quality,microstructure,and properties of diverse ceramic oxides produced through dAM.Critical examination is given to key aspects including feedstock preparation,laser-material coupling,formation and control of defects,in-situ monitoring and simulation.This paper concludes by outlining future trends and potential breakthrough directions,taking into account current gaps in this rapidly evolving field.

A Hybrid Deep Learning and Machine Learning-Based Approach to Classify Defects in Hot Rolled Steel Strips for Smart Manufacturing

Smart manufacturing is a process that optimizes factory performance and production quality by utilizing various technologies including the Internet of Things(IoT)and artificial intelligence(AI).Quality control is an important part of today’s smart manufacturing process,effectively reducing costs and enhancing operational efficiency.As technology in the industry becomes more advanced,identifying and classifying defects has become an essential element in ensuring the quality of products during the manufacturing process.In this study,we introduce a CNN model for classifying defects on hot-rolled steel strip surfaces using hybrid deep learning techniques,incorporating a global average pooling(GAP)layer and a machine learning-based SVM classifier,with the aim of enhancing accuracy.Initially,features are extracted by the VGG19 convolutional block.Then,after processing through the GAP layer,the extracted features are fed to the SVM classifier for classification.For this purpose,we collected images from publicly available datasets,including the Xsteel surface defect dataset(XSDD)and the NEU surface defect(NEU-CLS)datasets,and we employed offline data augmentation techniques to balance and increase the size of the datasets.The outcome of experiments shows that the proposed methodology achieves the highest metrics score,with 99.79%accuracy,99.80%precision,99.79%recall,and a 99.79%F1-score for the NEU-CLS dataset.Similarly,it achieves 99.64%accuracy,99.65%precision,99.63%recall,and a 99.64%F1-score for the XSDD dataset.A comparison of the proposed methodology to the most recent study showed that it achieved superior results as compared to the other studies.

Solvent-Free Manufacturing of Lithium-Ion Battery Electrodes via Cold Plasma

Slurry casting has been used to fabricate lithium-ion battery electrodes for decades,which involves toxic and expensive organic solvents followed by high-cost vacuum drying and electrode calendering.This work presents a new manufacturing method using a nonthermal plasma to create inter-particle binding without using any polymeric binding materials,enabling solvent-free manufacturing electrodes with any electrochemistry of choice.The cold-plasma-coating technique enables fabricating electrodes with thickness(>200 pm),high mass loading(>30 mg cm^(-2)),high peel strength,and the ability to print lithium-ion batteries in an arbitrary geometry.This crosscutting,chemistry agnostic,platform technology would increase energy density,eliminate the use of solvents,vacuum drying,and calendering processes during production,and reduce manufacturing cost for current and future cell designs.Here,lithium iron phosphate and lithium cobalt oxide were used as examples to demonstrate the efficacy of the cold-plasma-coating technique.It is found that the mechanical peel strength of cold-plasma-coating-manufactured lithium iron phosphate is over an order of magnitude higher than that of slurry-casted lithium iron phosphate electrodes.Full cells assembled with a graphite anode and the cold-plasma-coating-lithium iron phosphate cathode offer highly reversible cycling performance with a capacity retention of 81.6%over 500 cycles.For the highly conductive cathode material lithium cobalt oxide,an areal capacity of 4.2 mAh cm^(-2)at 0.2 C is attained.We anticipate that this new,highly scalable manufacturing technique will redefine global lithium-ion battery manufacturing providing significantly reduced plant footprints and material costs.

A critical review of direct laser additive manufacturing ceramics

The urgent need for integrated molding and sintering across various industries has inspired the development of additive manu-facturing(AM)ceramics.Among the different AM technologies,direct laser additive manufacturing(DLAM)stands out as a group of highly promising technology for flexibly manufacturing ceramics without molds and adhesives in a single step.Over the last decade,sig-nificant and encouraging progress has been accomplished in DLAM of high-performance ceramics,including Al_(2)O_(3),ZrO_(2),Al_(2)O_(3)/ZrO_(2),SiC,and others.However,high-performance ceramics fabricated by DLAM face challenges such as formation of pores and cracks and resultant low mechanical properties,hindering their practical application in high-end equipment.Further improvements are necessary be-fore they can be widely adopted.Methods such as field-assisted techniques and post-processing can be employed to address these chal-lenges,but a more systematic review is needed.This work aims to critically review the advancements in direct selective laser sintering/melting(SLS/SLM)and laser directed energy deposition(LDED)for various ceramic material systems.Additionally,it provides an overview of the current challenges,future research opportunities,and potential applications associated with DLAM of high-perform-ance ceramics.

Method for Detecting Industrial Defects in Intelligent Manufacturing Using Deep Learning

With the advent of Industry 4.0,marked by a surge in intelligent manufacturing,advanced sensors embedded in smart factories now enable extensive data collection on equipment operation.The analysis of such data is pivotal for ensuring production safety,a critical factor in monitoring the health status of manufacturing apparatus.Conventional defect detection techniques,typically limited to specific scenarios,often require manual feature extraction,leading to inefficiencies and limited versatility in the overall process.Our research presents an intelligent defect detection methodology that leverages deep learning techniques to automate feature extraction and defect localization processes.Our proposed approach encompasses a suite of components:the high-level feature learning block(HLFLB),the multi-scale feature learning block(MSFLB),and a dynamic adaptive fusion block(DAFB),working in tandem to extract meticulously and synergistically aggregate defect-related characteristics across various scales and hierarchical levels.We have conducted validation of the proposed method using datasets derived from gearbox and bearing assessments.The empirical outcomes underscore the superior defect detection capability of our approach.It demonstrates consistently high performance across diverse datasets and possesses the accuracy required to categorize defects,taking into account their specific locations and the extent of damage,proving the method’s effectiveness and reliability in identifying defects in industrial components.

Robust interface and excellent as-built mechanical properties of Ti–6Al–4V fabricated through laser-aided additive manufacturing with powder and wire

The feasibility of manufacturing Ti-6Al-4V samples through a combination of laser-aided additive manufacturing with powder(LAAM_(p))and wire(LAAM_(w))was explored.A process study was first conducted to successfully circumvent defects in Ti-6Al-4V deposits for LAAM_(p) and LAAM_(w),respectively.With the optimized process parameters,robust interfaces were achieved between powder/wire deposits and the forged substrate,as well as between powder and wire deposits.Microstructure characterization results revealed the epitaxial prior β grains in the deposited Ti-6Al-4V,wherein the powder deposit was dominated by a finerα′microstructure and the wire deposit was characterized by lamellar α phases.The mechanisms of microstructure formation and correlation with mechanical behavior were analyzed and discussed.The mechanical properties of the interfacial samples can meet the requirements of the relevant Aerospace Material Specifications(AMS 6932)even without post heat treatment.No fracture occurred within the interfacial area,further suggesting the robust interface.The findings of this study highlighted the feasibility of combining LAAM_(p) and LAAM_(w) in the direct manufacturing of Ti-6Al-4V parts in accordance with the required dimensional resolution and deposition rate,together with sound strength and ductility balance in the as-built condition.