Hasil untuk "Print media"

Carmen DeNavas-Walt, Bernadette D. Proctor

J. Hamilton

D. McQuail

A. Bork, S. Gunnarsdóttir

S. Livingstone

Tarequl Islam

The printing and labeling industries are struggling to meet the need for more complex and dynamic design requirements coming from the customers. It is now crucial to implement technological advancements to manage workflow, productivity, process optimization, and continual improvement. There has never been a time when the imagery and embellishments of apparel has been more commercially viable as it is now. Images and text are fused directly to fabric by heat transfer printing and labeling. For screen development which is required for heat transfer label mass production, many industries are still using the conventional method of screen development process. A CTS (computer-to-screen) innovates the printing and labeling industries by enhancing workflow, lowering consumable consumptions and chemical usage, speeding up setup, guaranteeing flawless design, and raising the print quality of the producing screens. The study's objective is to assess how CTS machines are used and how they affect existing heat transfer screen development processes in one of Bangladesh's leading printing and labeling companies. The study's primary goal is to highlight and analyze how the use of CTS machines reduces material and operational costs by optimizing the process. Costs for CapEx and OpEx are computed and compared for using CTS technology before and after adoption. Savings data such as material, consumable, and operating cost savings versus depreciation and machine payback period analysis were taken into consideration. It is clear from this study that CTS machines in the printing and labeling industries can guarantee profitability on top of Capital Expenditures.

Yang Yang, Tanya Tian, Brian Uzzi et al.

Communication of scientific knowledge beyond the walls of science is key to science's societal impact. Media channels play sizable roles in disseminating new scientific ideas about human health, economic welfare, and government policy as well as responses to emergent challenges such as climate change. Indeed, effectively communicating science to the public helps inform society's decisions on scientific and technological policies, the value of science, and investment in research. At the same time, the rise of social media has greatly changed communication systems, which may substantially affect the public's interface with science. Examining 20.9 million scientific publications, we compare research coverage in social media and mainstream media in a broad corpus of scientific work. We find substantial shifts in the scale, impact, and heterogeneity of scientific coverage. First, social media significantly alters what science is, and is not, covered. Whereas mainstream media accentuates eminence in the coverage of science and focuses on specific fields, social media more evenly sample research according to field, institutional rank, journal, and demography, increasing the scale of scientific ideas covered relative to mainstream outlets more than eightfold. Second, despite concerns about the quality of science represented in social media, we find that social media typically covers scientific works that are impactful and novel within science. Third, scientists on social media, as experts in their domains, tend to surface high-impact research in their own fields while sampling widely across research institutions. Contrary to prevalent observations about social media, these findings reveal that social media expands and diversifies science reporting by highlighting high-impact research and bringing a broader array of scholars, institutions and scientific concepts into public view.

Youjia Wang, Ruixiang Cao, Teng Xu et al.

Translating the rich visual fidelity of volumetric rendering techniques into physically realizable 3D prints remains an open challenge. We introduce DreamPrinting, a novel pipeline that transforms radiance-based volumetric representations into explicit, material-centric Volumetric Printing Primitives (VPPs). While volumetric rendering primitives (e.g., NeRF) excel at capturing intricate geometry and appearance, they lack the physical constraints necessary for real-world fabrication, such as pigment compatibility and material density. DreamPrinting addresses these challenges by integrating the Kubelka-Munk model with a spectrophotometric calibration process to characterize and mix pigments for accurate reproduction of color and translucency. The result is a continuous-to-discrete mapping that determines optimal pigment concentrations for each voxel, ensuring fidelity to both geometry and optical properties. A 3D stochastic halftoning procedure then converts these concentrations into printable labels, enabling fine-grained control over opacity, texture, and color gradients. Our evaluations show that DreamPrinting achieves exceptional detail in reproducing semi-transparent structures-such as fur, leaves, and clouds-while outperforming traditional surface-based methods in managing translucency and internal consistency. Furthermore, by seamlessly integrating VPPs with cutting-edge 3D generation techniques, DreamPrinting expands the potential for complex, high-quality volumetric prints, providing a robust framework for printing objects that closely mirror their digital origins.

Giacomo Rizzieri, Federico Lanteri, Liberato Ferrara et al.

This work introduces ShapeGen3DCP, a deep learning framework for fast and accurate prediction of filament cross-sectional geometry in 3D Concrete Printing (3DCP). The method is based on a neural network architecture that takes as input both material properties in the fluid state (density, yield stress, plastic viscosity) and process parameters (nozzle diameter, nozzle height, printing and flow velocities) to directly predict extruded layer shapes. To enhance generalization, some inputs are reformulated into dimensionless parameters that capture underlying physical principles. Predicted geometries are compactly represented using Fourier descriptors, which enforce smooth, closed, and symmetric profiles while reducing the prediction task to a small set of coefficients. The training dataset was synthetically generated using a well-established Particle Finite Element (PFEM) model of 3DCP, overcoming the scarcity of experimental data. Validation against diverse numerical and experimental cases shows strong agreement, confirming the framework's accuracy and reliability. This opens the way to practical uses ranging from pre-calibration of print settings, minimizing or even eliminating trial-and-error adjustments, to toolpath optimization for more advanced designs. Looking ahead, coupling the framework with simulations and sensor feedback could enable closed-loop digital twins for 3DCP, driving real-time process optimization, defect detection, and adaptive control of printing parameters.

Mr. Ayomide Adebare , Dr. Jill Nash

This study provides a comparative analysis of advertising appeals in static anti-smoking advertisements in the U.K. from the 1990s to the 2020s, using quantitative content analysis. The research evaluates print and online display advertisements, focusing on the prevalence of rational (gain-framed and statistical) and emotional (fear and guilt) appeals. The study investigates shifts in appeal usage over time and the broader societal and regulatory influences driving these changes. Findings indicate a strategic shift in public health messaging, moving from fear-based appeals in the 1990s to increased reliance on gain-framed appeals by the 2020s. This study enhances academic understanding of how advertising appeals have evolved in response to media transformations, government regulations, and social attitudes.

Junlin Julian Jiang, Xin Li

This paper proposes a look ahead text understanding problem with look ahead section identification (LASI) as an example. This problem may appear in generative AI as well as human interactions, where we want to understand the direction of a developing text or conversation. We tackle the problem using transformer-based LLMs. We show that LASI is more challenging than classic section identification (SI). We argue that both bidirectional contextual information (e.g., BERT) and unidirectional predictive ability (e.g., GPT) will benefit the task. We propose two approaches to stitch together BERT and GPT. Experiments show that our approach outperforms the established models, especially when there is noise in the text (which is often the case for developing text in generative AI). Our paper sheds light on other look ahead text understanding tasks that are important to social media, such as look ahead sentiment classification, and points out the opportunities to leverage pre-trained LLMs through stitching.

John C. Simmons, Joseph M. Winograd

The spread of false and misleading information is receiving significant attention from legislative and regulatory bodies. Consumers place trust in specific sources of information, so a scalable, interoperable method for determining the provenance and authenticity of information is needed. In this paper we analyze the posting of broadcast news content to a social media platform, the role of open standards, the interplay of cryptographic metadata and watermarks when validating provenance, and likely success and failure scenarios. We conclude that the open standards for cryptographically authenticated metadata developed by the Coalition for Provenance and Authenticity (C2PA) and for audio and video watermarking developed by the Advanced Television Systems Committee (ATSC) are well suited to address broadcast provenance. We suggest methods for using these standards for optimal success.

Carolyn Atkins, Younes Chahid, Gregory Lister et al.

Additive manufacturing (AM; 3D printing) in aluminium using laser powder bed fusion provides a new design space for lightweight mirror production. Printing layer-by-layer enables the use of intricate lattices for mass reduction, as well as organic shapes generated by topology optimisation, resulting in mirrors optimised for function as opposed to subtractive machining. However, porosity, a common AM defect, is present in printed aluminium and it is a result of the printing environment being either too hot or too cold, or gas entrapped bubbles within the aluminium powder. When present in an AM mirror substrates, porosity manifests as pits on the reflective surface, which increases micro-roughness and therefore scattered light. There are different strategies to reduce the impact of porosity: elimination during printing, coating the aluminium print in nickel phosphorous, or to apply a heat and pressure treatment to close the pores, commonly known as a hot isostatic press (HIP). This paper explores the application of HIP on printed aluminium substrates intended for mirror production using single point diamond turning (SPDT). The objective of the HIP is to reduce porosity whilst targeting a small grain growth within the aluminium, which is important in allowing the SPDT to generate surfaces with low micro-roughness. For this study, three disks, 50 mm diameter by 5 mm, were printed in AlSi10Mg at 0 deg, 45 deg, and 90 deg with respect to the build plate. X-ray computed tomography (XCT) was conducted before and after the HIP cycle to confirm the effectiveness of HIP to close porosity. The disks were SPDT and the micro-roughness evaluated. Mechanical testing and electron backscatter diffraction (EBSD) was used to quantify the mechanical strength and the grain size after HIP.

Stefano Menasce, Rafael Libanori, Fergal Coulter et al.

Self-healing silicones that are able to restore the functionalities and extend the lifetime of soft devices hold great potential in many applications. However, currently available silicones need to be triggered to self-heal or suffer from creep-induced irreversible deformation during use. Here, we design and print silicone objects that are programmed at the molecular and architecture levels to achieve self-healing at room temperature while simultaneously resisting creep. At the molecular scale, dioxaborolanes moieties are incorporated into silicones to synthesize self-healing vitrimers, whereas conventional covalent bonds are exploited to make creep-resistant elastomers. When combined into architectured printed parts at a coarser length scale, layered materials exhibit fast healing at room temperature without compromising the elastic recovery obtained from covalent polymer networks. A patient-specific vascular phantom is printed to demonstrate the potential of architectured silicones in creating damage-resilient functional devices using molecularly designed elastomer materials.

Zeyu Yan, Hsuanling Lee, Liang He et al.

We present a pipeline for printing interactive and always-on magnetophoretic displays using affordable Fused Deposition Modeling (FDM) 3D printers. Using our pipeline, an end-user can convert the surface of a 3D shape into a matrix of voxels. The generated model can be sent to an FDM 3D printer equipped with an additional syringe-based injector. During the printing process, an oil and iron powder-based liquid mixture is injected into each voxel cell, allowing the appearance of the once-printed object to be editable with external magnetic sources. To achieve this, we made modifications to the 3D printer hardware and the firmware. We also developed a 3D editor to prepare printable models. We demonstrate our pipeline with a variety of examples, including a printed Stanford bunny with customizable appearances, a small espresso mug that can be used as a post-it note surface, a board game figurine with a computationally updated display, and a collection of flexible wearable accessories with editable visuals.

Hammond R.N., Tham-Agyekum E.K., Ankuyi F. et al.

Community extension agents have been using various print materials like books, posters, flip charts, brochures, leaflets, newspapers, journals, magazines, and additional livelihood books to transfer improved agricultural technologies and information to cocoa farmers. However, the perception of farmers on these materials in aiding the adoption of innovations is unknown. A quantitative research approach was employed, and a structured questionnaire was used to collect data from 310 respondents. The study utilized both descriptive and inferential statistical techniques to achieve its research objectives. Results indicate that cocoa farmers perceive there are low levels of print media availability, utilization, preferability, and effectiveness. Despite the low perception of effectiveness, print media remains highly accessible to cocoa farmers and is a cost-effective method for delivering extension services. Its longevity and high engagement also contribute to its effectiveness. Factors such as household size, farm distance, marital status, years of cocoa cultivation, years of cooperative membership, economic activity, and educational level have a positive and significant influence on cocoa farmers' accessibility, utilization, and effectiveness of print media. Farmers are challenged by the infrequent and delayed delivery of print media. Agricultural agencies must therefore prioritize the timely delivery of print materials for extension activities to ensure that farmers can use them effectively.

Umberto Bongianino

The Mukhtaṣar al-ʿAyn of Abū Bakr Muḥammad al-Zubaydī (d. AD 989) is the earliest Arabic dictionary to have survived from the medieval Islamic West. This article discusses an early manuscript of the work that was copied and illuminated in AD 1124, most likely in Valencia, for the library of a wealthy patron or institution. The manuscript’s colophon casts new light on its transmission history, and a close analysis of its ‘page architecture’ reveals both how the book was used and the symbolic and aesthetic functions it fulfilled.

Alice Crespi, Kathrin Renner, Marc Zebisch et al.

The spatial visualization of current and future climate conditions is one key component for assessing related impacts and risks in a given territory. A suitable combination of statistical methods and visualisation techniques allows the creation of outputs that support the interpretation and understanding as well as communication of the complex climate analysis to a wider target audience. The present paper describes the adopted approaches to portray information about climate change in Germany until the end of the 21st century in meaningful maps with the aim to communicate it to the public as well as decision makers. In particular, the conducted analyses focused on the assessment of climate regions, climate hotspots and climate analogues. The maps showing the resulting spatial patterns 1) divide the country in seven climate clusters, 2) reveal different hotspot areas of climate change in terms of key indicators for the middle and the end of the century and 3) provide current and future climate shifts of German cities to analogue regions in Europe. Results are accompanied with recommendations and interpretation aids supporting the correct use for practical applications and communication purposes. The final map products resulting from these analyses and published in the frame of the Climate Impact and Risk Assessment for Germany 2021 were taken up by different national media outlets (print and audio), education experts as well as stakeholders, showing benefits and limitations of the visualisation choices.

Mike S. Schäfer, Inga Schlichting

Jesse van der Klok, Daniël Tieman, Maziyar Jalaal

This study presents the spreading of a single filament of a yield stress (viscoplastic) fluid extruded onto a pre-wetted solid surface. The filaments spread laterally under surface tension forces until they reach a final equilibrium shape when the yield stress dominates. We use a simple experimental setup to print the filaments on a moving surface and measure their final width using optical coherence tomography. Additionally, we present a scaling law for the final width and determine the corresponding pre-factor using asymptotic analysis. We then analyse the level of agreement between the theory and experiments and discuss the possible origins of discrepancies. The process studied here has applications in extrusion-based thermoplastic and bio-3D printing.