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Jeffrey M. Makala's book "Publishing Plates: Stereotyping and Electrotyping in Nineteenth-Century US Print Culture" explores the transformative impact of stereotype and electrotype plates on book manufacturing technology in the 19th century. The book delves into the debates, disruptions, and socio-technical changes brought about by the adoption of these technologies, highlighting their role in reshaping the publishing industry and our understanding of intellectual property. Makala's work sheds light on how stereotype plates influenced literary culture, ownership of intellectual property, and the autonomy of marginalized authors, offering a valuable reference for scholars across subfields interested in the intersection of technology and publishing history. [Extracted from the article]

Extrudability and constructability are two important, yet contradictory issues pertaining to the construction of three-dimensional (3D) printing concrete. Extrudability is easily achieved when 3D printing cement mortar has a high water content and low cohesion, but the printed structure is easily collapsible. However, a 3D printing cement mortar with a low water content and high cohesion has a relatively stable printed structure although the cement mortar might not be extrudable. This study proposes a particle-based method to simulate 3D printing mortar extrusion and construction as an overall planning tool for building design. First, a discrete element model with time-varying liquid bridge forces is developed to investigate the microscopic effects of these forces on global rheological properties. Next, a series of numerical simulations relevant to 3D printable mortar extrudability and constructability are carried out. The study demonstrates that the effects of time-varying liquid bridge forces on rheological properties and the resulting extrudability and constructability of 3D printing mortar are considerable. Furthermore, an optimized region that satisfies both the extrusion and construction requirements is provided for 3D printing industry as a reference. [ABSTRACT FROM AUTHOR]

With the rapid development of the economy and the continuous improvement of people's living standards, the printing and packaging industry plays an increasingly important role in people's lives. The traditional printing industry is a discrete manufacturing industry, relying on a large amount of manpower and manual operation, low production efficiency, higher labor costs, wasting of resources, and other issues, so the realization of printing factory intelligence to improve the competitiveness of the industry is an important initiative. Automatic guided vehicles (AGVs) are an important part of an intelligent factory, serving the function of automatic transportation of materials and products. To optimize the movement paths of AGVs, enhance safety, and improve transportation efficiency and productivity, this paper proposes an alternative implementation of the A* algorithm. The proposed algorithm improves search efficiency and path smoothness by incorporating the grid obstacle rate and enhancing the heuristic function within the A* algorithm's evaluation function. This introduces the evaluation subfunction of the nearest distance between the AGV, the known obstacle, and the unknown obstacle in the global path in the dynamic window approach (DWA algorithm), and reduces the interference of obstacles with the AGV in global path planning. Finally, the two improved algorithms are combined into a new fusion algorithm. The experimental results show that the search efficiency of the fusion algorithm significantly improved and the transportation time shortened. The path smoothness significantly improved, and the closest distance to obstacles increased, reducing the risk of collision. It can thus effectively improve the productivity of an intelligent printing factory and enhance its flexibility. [ABSTRACT FROM AUTHOR]

Understanding the influence of paper surface structures on color perception is crucial for the printing industry. This research investigates the impact of horizontal and vertical parallel lines on chromatic assimilation using the Munker-White grid model. The study employs the perceived ∆E00 metric to quantify color differences and determine whether these textures affect perceived color accuracy and consistency differently. Results reveal variations in color perception due to surface textures. The biggest color difference (ΔE00) occurred at 60% RTV coverage for cyan, where the vertical structure showed a significantly lower value than the horizontal. For the yellow primary stimulus, the greatest difference was observed at 20% RTV coverage, with both structures showing high initial values that decrease with increased coverage. These findings provide valuable insights for improving color management practices and enhancing the quality and reliability of color reproduction on various substrates, contributing to advancements in printing technology and color science. [ABSTRACT FROM AUTHOR]

Three-dimensional printing technology in construction is a rapidly growing field that offers innovative opportunities for design and construction execution. A key component of this process is the automated production of high-performance construction mixtures that meet specific requirements for strength, fluidity, and setting speed. This overview article outlines the history and development of 3D printing technology in the construction industry, describes various printing technologies, and discusses the properties and requirements for construction mixes. Special attention is given to automated systems for batching and mixing ingredients, which increase the precision and efficiency of production. The different types of construction mixes used in 3D printing and the main technical and operational challenges associated with their application are also presented. The article's conclusions highlight the potential of this technology to revolutionize the construction industry by improving efficiency and reducing costs and project lead times. [ABSTRACT FROM AUTHOR]

The sustainable use of natural resources is becoming an increasingly important issue today. Stone paper, produced as an alternative to cellulose-based paper from the forest, is rich in minerals and produced without cellulose and water. This study focuses on the behavior of screen-printing ink on two different papers, stone paper and coated sticker paper. Properties such as ink adhesion, rubbing resistance, optical printing ink density, ink consumption, and lightfastness were measured on these surfaces. Solvent- and UV-based inks were used, and printing was carried out on cellulose-based (coated sticker paper) and mineral-based (stone paper) paper layers using three different mesh counts (90, 120, and 140 tpc). The rubbing resistance and lightfastness of the papers were also measured. The present findings revealed that stone paper had the same printability properties as cellulose-based paper. The study concluded that using a 140 tpc mesh with both types of ink results in a high-lightfastness ink layer and lower ink consumption. UV-based inks exhibited high rub resistance across all mesh counts. Additionally, when printing with stone paper, there will be a reduction in ink consumption, thereby achieving cost savings. Based on the present findings, it was concluded that water- and oil-resistant stone paper can be considered an essential alternative in many fields, including the printing industry. [ABSTRACT FROM AUTHOR]

High-quality printing is a longstanding objective in the printing and replication industry. However, the methods used to evaluate print quality suffer from subjectivity and multidimensionality, relying on personal preferences and subjective perceptions to assess the quality of printed images, which poses significant limitations. To address these issues, a set of evaluation metrics aimed at assessing the quality of digital printing products is proposed to achieve evaluation results consistent with human visual perception. Given the differing imaging principles of pre-press digital images and post-scan images, these images are first preprocessed to standardize them for comparison. Next, features are extracted in both spatial and frequency domains, and similarity metrics are used to quantify the differences in features between pre-press digital images and post-scan images. Finally, a multilayer perceptron (MLP) neural network regression model is trained to predict the final objective quality scores. Experimental results on two standard databases demonstrate that this metric exhibits high consistency in both subjective and objective quality evaluation metrics for printed image quality assessment and outperforms other metrics in terms of accuracy. [ABSTRACT FROM AUTHOR]

This article focuses on the itinerant print trade that actively involved the Alpine Tesini pedlars for more than three centuries (between the seventeenth and nineteenth centuries) and that profoundly influenced the cultural, social, and economic history of their home valley. The case study of the pedlars from the Tesino valley, in what is now the Trentino region of Northern Italy, offers a privileged perspective for analysing three interrelated broader questions: the dynamics and effects of mobility in Ancien Régime Alpine societies; the spread of cheap print in pre-modern Europe; and the economic system underlying this large-scale trade. Through the analysis of a corpus of previously overlooked notarial sources, this article aims to unravel the complex financial and credit mechanisms that enabled the Tesini pedlars to succeed, but which in many cases were also the cause of their downfall. [ABSTRACT FROM AUTHOR]

The objective of this study was to investigate the association among office automation and staff members' quality of life and self-efficacy in Information Technology Parks / IT Companies and printing industry. The investigation was conducted in the field using correlational descriptive data collection technique keeping in mind the practical objective. The whole employees (N=50) of IT parks/printing industry were represented in the data population. Also, 384 individuals were randomly selected as the sample of the study, and the selection strategy of the study included Stratified Random Sampling and Morgan tables to estimate the sample size. According to the data of Cranach's alpha, the reliability of the questionnaire was evaluated by administering it to 30 publics. The results of work life office automation α=0.80, self-efficacy α=0.78, and quality questionnaire α=0.8 respectively, indicating the importance of the questionnaire. For inferential analysis of results and hypotheses using SPSS software version 22, Kolmogorov-Smirnov statistical models, linear regression, Shapiro-Wilk, Pearson coefficient were used. According to the results of linear regression, office automation does not significantly affect the self-efficacy of employees (p=0.19, t=0.142), but it significantly affects the quality of life of employees (P>0.001, For SQ (t)= 11.562,), and according to the coefficient of determination (R2=0.837). However, an agreed office automation analysis with reliability analysis is good. [ABSTRACT FROM AUTHOR]

The winding process is a crucial step in roll-to-roll systems used across various industries like printing, packaging, and converting. At the rewinding process, the accurate determination of the appropriate tension during the rewinding stage assumes paramount importance as it enables the prediction and prevention of such defects. To address this critical concern, the development of an automated film roll cutter is undertaken, incorporating advanced three-dimensional (3D) modeling techniques. These techniques facilitate the design and visualization of the cutter, enabling iterative refinements and optimizations. Furthermore, comprehensive structural and thermal analysis is conducted to ensure that the cutter possesses the requisite durability, strength, and reliability to operate seamlessly within real-world manufacturing environments. This research endeavors to present a practical and effective solution that specifically addresses the challenges encountered in film roll production. [ABSTRACT FROM AUTHOR]

The instability of product quality and low printing efficiency are the main obstacles to the widespread application of 3D printing in the manufacturing industry. Optimizing printing parameters can substantially improve product quality and printing efficiency. However, existing methods for optimizing process parameters primarily rely on computationally expensive numerical simulations or costly physical experiments, which cannot balance model accuracy and experiment cost. To the best of our knowledge, almost no relevant papers have been found to address the issues of product quality and printing efficiency in 3D printing from experimental data‐driven perspective. In this paper, we propose a method that integrates multiobjective Bayesian optimization (MOBO) with experimental data‐driven, aiming at obtaining more accurate optimization results at a lower cost. Distinguishing from previous studies, the proposed method utilizes experimental data instead of predicted values to update the model and find the optimal process parameters based on expected hypervolume improvement. The results of the 3D printing case study show that the proposed method can better model and optimize the highly fluctuating 3D printing process and obtain the optimal process parameters at a much lower cost. In addition, confirmatory experiments verify that the proposed method achieves higher printing efficiency while maintaining product quality. [ABSTRACT FROM AUTHOR]

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Industry 4.0 (I4.0) became an important paradigm to bridge the gap between technologies and humans. The paper aims to diagnose sustainability performance and I4.0 maturity in Poland's printing and packaging sector and identify research areas where further actions for improvements are necessary. This article adopts a mixed-method study combining in-depth interviews of eleven heterogeneous enterprises, supported with a quantitative survey on a representative sample of 301 companies. The findings revealed an insignificant correlation from a statistical point of view (0.44) between the adopted I4.0 technologies currently used and sustainable best practices. Internet of Things technologies are more often adopted in the printing industry (27.2 %) than in the packaging industry (14 %). The study concludes that using I4.0 technologies boosts the execution of sustainable practices and/or realising sustainable development practices requires I4.0 technology adoption. The paper clarifies that more in-depth analyses are needed to help achieve sustainable objectives for printing and packaging companies through digital technologies. The methodology is replicable and might be applied in other economies across separate multinational enterprises to influence sustainable digitalised business strategy. [ABSTRACT FROM AUTHOR]