Hasil untuk "Print media"

K. Jamieson, D. Albarracín

A US national probability-based survey during the early days of the SARS-CoV-2 spread in the US showed that, above and beyond respondents’ political party, mainstream broadcast media use (e.g., NBC News) correlated with accurate information about the disease’s lethality, and mainstream print media use (e.g., the New York Times) correlated with accurate beliefs about protection from infection. In addition, conservative media use (e.g., Fox News) correlated with conspiracy theories including believing that some in the CDC were exaggerating the seriousness of the virus to undermine the presidency of Donald Trump. Five recommendations are made to improve public understanding of SARS-CoV-2.

D. Fernández-Martínez, E. J. Vega, A. M. Gañán-Calvo et al.

We propose using a dielectric beveled nozzle for electrospray and electrohydrodynamic jet printing. This nozzle stabilizes the liquid ejection of low-conductivity liquids, considerably reducing the minimum flow rate below which the flow becomes unstable. This translates into a significant reduction of the minimum jet diameter. Due to its dielectric character, electrochemical reactions occurring in metallic beveled nozzles (e.g. hypodermic needles) do not occur, preserving the purity of the liquid. This property makes this nozzle appropriate for Electrospray Ionization Mass Spectrometry (ESI-MS) or bioplotting. We illustrate the capabilities of this new technique by conducting (i) electrospray experiments with Newtonian liquids and (ii) electrohydrodynamic jet printing experiments with viscoelastic fluids. Jets with diameters around 1 $μ$m are produced with low-conductivity liquids such as octanol and glycerine. Viscoelastic threads a few microns in diameter are gently deposited on a moving substrate to print out uniform lines tens of nanometers in height. Due to the strong stabilizing effect of the beveled nozzle, the minimum flow rate and jet diameter were much smaller than the respective values obtained with the cylindrical capillary in the electrospray and electrohydrodynamic jet printing experiments. The proposed technique opens new routes for electrospray and electrohydrodynamic jet printing.

Jackson K. Wilt, Natalie M. Larson, Jennifer A. Lewis

The rapid design and fabrication of soft robotic matter is of growing interest for shape morphing, actuation, and wearable devices. Here, we report a facile fabrication method for creating soft robotic materials with embedded pneumatics that exhibit programmable shape morphing behavior. Using rotational multi-material 3D printing, asymmetrical core-shell filaments composed of elastomeric shells and fugitive cores are patterned in 1D and 2D motifs. By precisely controlling the nozzle design, rotation rate, and print path, one can control the local orientation, shape, and cross-sectional area of the patterned fugitive core along each printed filament. Once the elastomeric matrix is cured, the fugitive cores are removed, leaving behind embedded conduits that facilitate pneumatic actuation. Using a connected Fermat spirals pathing approach, one can automatically generate desired print paths required for more complex soft robots, such as hand-inspired grippers. Our integrated design and printing approach enables one to rapidly build soft robotic matter that exhibits myriad shape morphing transitions on demand.

Tim Donkers, Jürgen Ziegler

The rise of social media has fundamentally transformed how people engage in public discourse and form opinions. While these platforms offer unprecedented opportunities for democratic engagement, they have been implicated in increasing social polarization and the formation of ideological echo chambers. Previous research has primarily relied on observational studies of social media data or theoretical modeling approaches, leaving a significant gap in our understanding of how individuals respond to and are influenced by polarized online environments. Here we present a novel experimental framework for investigating polarization dynamics that allows human users to interact with LLM-based artificial agents in a controlled social network simulation. Through a user study with 122 participants, we demonstrate that this approach can successfully reproduce key characteristics of polarized online discourse while enabling precise manipulation of environmental factors. Our results provide empirical validation of theoretical predictions about online polarization, showing that polarized environments significantly increase perceived emotionality and group identity salience while reducing expressed uncertainty. These findings extend previous observational and theoretical work by providing causal evidence for how specific features of online environments influence user perceptions and behaviors. More broadly, this research introduces a powerful new methodology for studying social media dynamics, offering researchers unprecedented control over experimental conditions while maintaining ecological validity.

Gregory G. Guymon, Hao A. Nguyen, David Sharp et al.

The unique optical properties of quantum dots (QDs), size-tunable emission and high quantum yield, make them ideal candidates for applications in secure quantum communication, quantum computing, targeted single-cell and molecular tagging, and sensing. Scalable and deterministic heterointegration strategies for single QDs have, however, remained largely out of reach due to inherent material incompatibilities with conventional semiconductor manufacturing processes. To advance scalable photonic quantum device architectures, it is therefore crucial to adopt placement and heterointegration strategies that can address these challenges. Here, we present an electrohydrodynamic (EHD) printing model, single particle extraction electrodynamics (SPEED) printing, that exploits a novel regime of nanoscale dielectrophoretics to print and deterministically position single colloidal QDs. Using QDs solubilized in apolar solvents, this additive, zero-waste nanomanufacturing process overcomes continuum fluid surface energetics and stochastic imprecision that limited previous colloidal deposition strategies, achieving selective extraction and deposition of individual QDs at sub-zeptoliter volumes. Photoluminescence and autocorrelation function (g(2)) measurements confirm nanophotonic cavity-QD integration and single-photon emission from single printed QDs. By enabling deterministic placement of single quantum dots, this method provides a powerful, scalable, and sustainable platform for integrating complex photonic circuits and quantum light sources with nanoscale precision.

Luis-Miguel Pedrero-Esteban, Lourdes Moreno-Cazalla, Manuel Fernández-Sande

Este artículo examina el papel que desempeña el audioperiodismo en la transformación estratégica de la prensa diaria en España. En un contexto de reconfiguración del sector, se analiza el uso del pódcast por parte de las cabeceras como recurso para diversificar su oferta informativa, fortalecer el vínculo con las audiencias y explorar nuevas dinámicas editoriales. El estudio se basa en un cuestionario ad hoc dirigido a responsables de áreas de audio en diarios de ámbito nacional y regional. La metodología, de enfoque cualitativo y exploratorio, identifica los patrones organizativos, los perfiles profesionales implicados, las funciones asignadas al audio y los condicionantes para su desarrollo. Los resultados muestran que, si bien existe un reconocimiento generalizado del valor estratégico del pódcast, las iniciativas dependen aún de recursos limitados, equipos reducidos y niveles dispares de integración en las estructuras del medio. Las propuestas de audio se orientan principalmente a los géneros informativos y de análisis, con una creciente preocupación por la calidad narrativa y la conexión con las audiencias. Se constata también la búsqueda de una identidad sonora propia en la mayoría de los proyectos impulsados. Se concluye que el audioperiodismo representa una línea de desarrollo incipiente, pero con un gran potencial en el ecosistema de la prensa digital, y se señalan futuras vías de investigación vinculadas a su sostenibilidad, profesionalización e integración en estrategias transmedia.

Sandra Dedijer, Nemanja Kašiković, Magdolna Pál et al.

Artificial Intelligence (AI) is rapidly reshaping societal dynamics and is expected to continue influencing various sectors. In the field of graphic design, its integration has generated both enthusiasm and concern. Today, AI is transforming how graphic designers work by introducing innovative tools and methods that enhance creativity, efficiency, and production capabilities. AI enables faster and higher quality realization of creative concepts by automating repetitive tasks, generating complex and realistic visuals, and improving design personalization. However, the rapid development and implementation of AI in design practices also bring forth a series of challenges that must be critically examined. Issues such as authenticity, originality, and authorship of AI-generated content are becoming increasingly relevant, and it is crucial that we address these challenges head-on. Additionally, the potential displacement of human workers by automated systems raises concerns about job loss and the redefinition of the designer’s role in the creative process. The ethical use of AI in graphic design spans multiple dimensions: algorithmic bias, user privacy, transparency of sources and influence, and questions of ownership and intellectual property. This paper aims to comprehensively analyse the challenges, and key ethical considerations of using AI in graphic design through a systematic literature review. Special emphasis is placed on ethical challenges related to authorship, creativity, bias, transparency, and broader societal impact. The paper also considers the future trends considering graphic design, AI and creativity and explores how they may be adapted to meet the specific challenges posed by AI in graphic design. Ultimately, this research contributes to the academic discourse on the responsible and sustainable use of AI in the creative industries, laying the groundwork for future research in ethics and technology. Particular attention is devoted to the evolving role of human designers in an increasingly dynamic and complex AI-influenced environment, underscoring the urgent need for responsible use of AI.

STEPHEN AFAM KENECHUKWU

Research Problem: Health journalism shapes public comprehension of medical realities, yet its reliability too frequently erodes due to imprecision, ambiguity, and subpar reliance on solid scientific data. This project examines how precision journalism leverages data-oriented technologies to improve clarity, verify accuracy, and reinforce the overall soundness of health stories. Methods/Theory: Informed by Technological Determinism Theory, the investigation assumes that technological innovations directly mold individual and institutional conduct. Operating within the interpretivist approach, the investigation deployed a secondary data design. A total of forty-five scholarly articles were surveyed, of which ten peer-reviewed pieces published between 2010 and 2025 were analyzed inductively, identifying recurrent themes in newsroom conduct, audience involvement, and institutional limitations. Results: The analysis reveals that precision journalism is incrementally embedding itself in health newsrooms, manifested chiefly in data visualization, interactive infographics, and algorithms that guide report assembly. Yet that embedding is stymied by inadequate digital infrastructure, parsimonious editorial doctrines, and modest funding, challenges that loom largest in Nigeria's print sector. Case studies of the COVID-19 pandemic yield persuasive corroboration, suggesting that data-infused narratives elevated correctness, broadened audiences’ comprehension, and fortified public trust. Conclusion: Precision journalism harbors a pronounced capacity to fortify health coverage, but expansion encounters enduring systemic and institutional obstacles. Key Contribution to Knowledge: The research shows that when organizations embed technology into everyday reporting workflows, health journalism evolves into a steadier, fact-based, and influence-oriented communication discipline, capable of delivering verifiable statements and more useful stories for the public. Recommendation: Programmes should combine tailored workshops for reporters, modern technical infrastructure within newsrooms, and partnerships that routinely join reporters, technologists, and healthcare experts, enabling a disciplined, data-oriented approach to health reporting that also functions as a frontline defense against deceptive narratives.

Peiran Jiao, Andre Veiga, A. Walther

Abstract: We contrast the impact of traditional news media and social media coverage on stock market volatility and trading volume. We develop a theoretical model of asset pricing and information processing, which allows for both rational traders and a variety of commonly studied behavioral biases. The model yields several novel and testable predictions about the impact of news and social media on asset prices. We then test the model’s theoretical predictions using a unique dataset which measures coverage of individual stocks in social and news media using a broad spectrum of print and online sources. Stocks with high social media coverage in one month experience high idiosyncratic volatility of returns and trading volume in the following month. Conversely, stocks with high news media coverage experience low volatility and low trading volume in the following month. These effects are statistically and economically significant and robust to controlling for stock and time fixed effects, as well as time-varying stock characteristics. The empirical evidence on news media is consistent with a market in which some traders are overconfident when interpreting new information. The evidence on social media is consistent with Tetlock (2011)’s “stale news” hypothesis (investors treat repeated information on social networks as though it were new) and with a model where investors’ perceptions are subject to random sentiment shocks.

B. Wiederhold

A decade ago, when I wrote about how handheld devices could be an effective solution for delivering much needed psychological care to people struggling in the aftermath of disaster,[1] I couldn't have predicted the integral roles that these devices, and the social media applications they support, would come to play in our everyday lives 2 Brandon J 6 7 million people just mentioned the coronavirus on social media in one day [Extracted from the article] Copyright of CyberPsychology, Behavior & Social Networking is the property of Mary Ann Liebert, Inc and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )

M. Brüggemann, Sven Engesser

E. Peters

The aim of this study is to investigate (1) how often Flemish English-as-a-foreign language learners are exposed to English language media outside of the classroom, (2) whether current out-of-class exposure to English language media is related to learners’ vocabulary knowledge, and (3) whether length of instruction (three or six years), gender, and out-of-class exposure to English language media affect Flemish learners’ vocabulary. Data were collected with 79 English-as-a-foreign language learners. They were administered a frequency-based vocabulary test and a questionnaire. The findings of this study show that Flemish English-as-a-foreign language learners are frequently exposed to English language media. The results also indicate a positive relationship between learners’ vocabulary knowledge and exposure to non-subtitled TV programs and movies, the Internet, and written print (books, magazines). Finally, both length of instruction and current out-of-class exposure to English language media had an effect on learners’ vocabulary knowledge, but out-of-class exposure had a larger effect than length of instruction.

Myria Georgiou, Rafal Zaborowski

Sudarmo Sudarmo, Ardian Arifin, Petrus Jacob Pattiasina et al.

This study aimed to answer whether digital devices replace print media in education in Indonesia's digital era. Systematic studies and experts' findings can get a basic understanding of print media that can be replaced by digital media in education today and in the future. For this reason, the researchers have attempted to collect literature and publications related to this theme. Then it analyzes critically to prove whether our hypothesis is accepted or rejected. For example, the way we research seeks to understand the question's theme and matches the findings of several publications that we target from 2010 to 2020. Data sources come from Google Scholar, ERIC publications, and other search engines. This analytical process involves coding systems, content evaluation, in-depth interpretation, and concluding to obtain findings characterized by validity and trustworthiness. The results reveal that slowly the role of electronic media has begun to take over paper media. However, with the condition of Indonesian education in general, the role of print media continues to dominate the world of Indonesian education today, especially in remote areas of the country where modern educational facilities are not yet supported. Therefore, this finding is useful for policymakers and further study in a similar field.

Xavier Guidetti, Efe C. Balta, Yannick Nagel et al.

When manufacturing parts using material extrusion additive manufacturing and anisotropic polymers, the mechanical properties of a manufactured component are strongly dependent on the print trajectory orientation. We conduct non-planar slicing and optimize the print trajectories to maximize the alignment between the material deposition direction and the stress flow induced by a predefined load case. The trajectory optimization framework considers manufacturability constraints in the form of uniform layer height and line spacing. We demonstrate the method by manufacturing a load bearing mechanical bracket using a 5-axis 3D printer and a liquid crystal polymer material. The failure strength and stiffness of the optimized bracket are improved by a factor of 44 and 6 respectively when compared with conventional printing.

Heather O'Donoghue

The Karlevi runestone, on the island of Öland, off the south-east coast of Sweden, is inscribed with the only known full stanza of Old Norse skaldic verse in Viking Age runes (that is, from approximately AD 750–1100). It is generally dated to the end of the tenth century, making it the oldest existing record of such verse. This piece outlines the origins, distribution, and chief features of the runic alphabet; contextualizes the inscription on the Karlevi runestone and the location of the stone itself; analyses the lettering and layout of the inscription in relation to the metre, style and cultural context of the verse it holds; and finally describes the character of skaldic verse and interprets the stanza.

W. Young, S. Russell, Cheryl A. Robinson et al.

This paper reports on a landmark study to field-test the influence of a large retailer to change the behaviour of its millions of customers. Previous studies have suggested that social media interaction can influence behaviour. This study implemented three interventions with messages to encourage reductions in food waste. The first was a social influence intervention that used the retailer’s Facebook pages to encourage its customers to interact. Two additional information interventions were used as a comparison through the retailer’s print/digital magazine and e-newsletter. Three national surveys tracked customers’ self-reported food waste one month before as well as two weeks after and five months after the interventions. The control group included those who said they had not seen any of the interventions. The results were surprising and significant in that the social media and e-newsletter interventions as well as the control group all showed significant reductions in self-reported food waste by customers over the study period. Hence in this field study, social media does not seem to replicate enough of the effect of ‘face-to-face’ interaction shown in previous studies to change behaviour above other factors in the shopping setting. This may indicate that results from laboratory-based studies may over-emphasise the effect of social media interventions.

Yushuo Niu, Ethan Chadwick, Anson W. K. Ma et al.

Automatic defect detection for 3D printing processes, which shares many characteristics with change detection problems, is a vital step for quality control of 3D printed products. However, there are some critical challenges in the current state of practice. First, existing methods for computer vision-based process monitoring typically work well only under specific camera viewpoints and lighting situations, requiring expensive pre-processing, alignment, and camera setups. Second, many defect detection techniques are specific to pre-defined defect patterns and/or print schematics. In this work, we approach the defect detection problem using a novel Semi-Siamese deep learning model that directly compares a reference schematic of the desired print and a camera image of the achieved print. The model then solves an image segmentation problem, precisely identifying the locations of defects of different types with respect to the reference schematic. Our model is designed to enable comparison of heterogeneous images from different domains while being robust against perturbations in the imaging setup such as different camera angles and illumination. Crucially, we show that our simple architecture, which is easy to pre-train for enhanced performance on new datasets, outperforms more complex state-of-the-art approaches based on generative adversarial networks and transformers. Using our model, defect localization predictions can be made in less than half a second per layer using a standard MacBook Pro while achieving an F1-score of more than 0.9, demonstrating the efficacy of using our method for in-situ defect detection in 3D printing.

Vishal Agarwal, Tanuja Ganu, Saikat Guha

Accessing daily news content still remains a big challenge for people with print-impairment including blind and low-vision due to opacity of printed content and hindrance from online sources. In this paper, we present our approach for digitization of print newspaper into an accessible file format such as HTML. We use an ensemble of instance segmentation and detection framework for newspaper layout analysis and then OCR to recognize text elements such as headline and article text. Additionally, we propose EdgeMask loss function for Mask-RCNN framework to improve segmentation mask boundary and hence accuracy of downstream OCR task. Empirically, we show that our proposed loss function reduces the Word Error Rate (WER) of news article text by 32.5 %.

Negin Amini, Josh Tuohey, John M. Long et al.

While stress visualization within 3-dimensional particles would greatly advance our understanding of the behaviors of complex particles, traditional photoelastic methods suffer from a lack of available technology for producing suitable complex particles. Recently, 3D-printing has created new possibilities for enhancing the scope of stress analysis within physically representative granules. Here, we investigate and evaluate opportunities offered by 3D-printing a single particle with a complex external shape with photoelastic properties. We report the results of X-ray computed tomography and 3D-printing, combined with traditional photoelastic analysis, to visualize strain for particles ranging from simple 2D discs to complex 3D printed coffee beans, including with internal voids. We find that the relative orientation of the print layers and the loading force affects the optical response of the discs, but without a significant difference in their mechanical properties. Furthermore, we present semi-quantitative measurements of stresses within 3D-printed complex particles. The paper outlines the potential limitations and areas of future interest for stress visualization of 3-dimensional particles.