Impact of e-cigarette advertising, promotion, and sponsorship on cognition and behavior: a systematic review of public responses
Atchara Prajongjeep, Thanavutd Chutiphongdech, Kornkan Phuengnam
et al.
Abstract Background Exposure to advertising, promotion, and sponsorship (APS) for e-cigarettes has expanded rapidly across retail, online, and social media platforms. Concerns remain that APS may shape harm perceptions, increase susceptibility, and encourage initiation and sustained use, particularly among youth and young adults. Yet evidence remains fragmented across regulatory contexts and outcomes, with limited synthesis of cognitive and behavioural effects. This study systematically reviews associations between APS exposure and e-cigarette–related cognition and behaviour. Methods Electronic databases, including PubMed, Medline, Embase, PsycINFO, and Web of Science, were searched (last accessed May 14, 2025) using a comprehensive strategy that combined e-cigarette and APS-related terms. Eligible studies empirically assessed APS exposure and reported at least one relevant outcome. Screening and data extraction were conducted independently by two reviewers. Risk of bias assessments were performed using different Joanna Briggs Institute (JBI) critical appraisal tools. Results were synthesized narratively. Results A total of 79 studies were included, comprising cross-sectional surveys (n = 39), longitudinal studies (n = 24), randomized controlled trials (RCTs) (n = 10), and quasi-experimental studies (n = 6). Most were from high-income countries. Across settings and populations, APS exposure was commonly associated with increased susceptibility and intention to use, and e-cigarette use, particularly among youth and young adults exposed through social media and retail environments. Evidence for the association between APS exposure and ever and current use was generally positive but varied by channel, with traditional media (TV, print, radio) showing weaker or nonsignificant effects. Longitudinal studies supported temporal associations between APS exposure and initiation, while experimental studies demonstrated that ad framing (e.g., social themes, promotions) can directly influence perceptions and openness to use. Conclusions Exposure to e-cigarette APS, most notably across digital, social media, and retail environments, was consistently associated with heightened susceptibility, stronger intentions to use, and increased uptake, with these patterns becoming more pronounced in recent years. While much of the existing evidence is cross-sectional and therefore cannot establish causal pathways, the overall body of findings underscores the importance of reinforcing regulatory attention and ongoing monitoring of marketing activities in digital and retail spaces, particularly to safeguard youth and other vulnerable groups.
Public aspects of medicine
The effect of tourist destination attractiveness, customer experience, and service form on return visit interest using tourist satisfaction in pujon kidul tourist village
Atyanta Rahma Mahiru, Respati Hariyanto, Andini Risfandini
Tourist Destination Attraction, Customer Experience, Servicescape and visitor satisfaction can influence the interest of tourists to revisit the tourist attraction, efforts that have been made by Pujon Kidul Tourism Village are conducting several promotional activities through print media and the internet. The purpose of this study is: To determine the effect of Tourist Destination Attraction, Customer Experience and Servicescape on Tourist Satisfaction in Pujon Kidul Tourism Village. To determine the effect of Tourist Destination Attraction, Customer Experience and Servicescape on Tourist Revisit Interest in Pujon Kidul Tourism Village. To determine the effect of Tourist Satisfaction on Interest in Revisiting Pujon Kidul Tourism Village. To determine the effect of Tourist Destination Attraction, Customer Experience and Servicescape on Interest in Revisiting through Tourist Satisfaction in Pujon Kidul Tourism Village. The approach used in this study is a quantitative approach, especially the type of research that uses an explanatory approach to explain the relationship and emphasizes the analysis of numerical data cause and effect on service quality and competitive advantage on tourist satisfaction using questionnaire techniques. The results of the study indicate that there is a partial positive and significant influence of the Attraction of Tourist Destinations, Customer Experience and Servicescape on the Interest of Returning Tourists to Pujon Kidul Tourism Village. The results of the study indicate that there is a partial positive and significant influence of Tourist Satisfaction on the Interest of Returning to Pujon Kidul Tourism Village. The results of the study indicate that there is a partial positive and significant influence of the Attraction of Tourist Destinations, Customer Experience and Servicescape on the Interest of Returning through Tourist Satisfaction in Pujon Kidul Tourism Village.
Оцінка якості гарячого тиснення фольгою на покривних матеріалах
Оксана Іванівна Бараускєне, Любов Максимівна Карандюк , Світлана Миколаївна Зигуля
Метою цієї роботи є дослідження процесу гарячого тиснення фольгою на покривних матеріалах з різними характеристиками. Провести пошук оптимальних режимів експериментальним шляхом, а також проаналізувати результати методом експертного оцінювання та дослідити покривну здатність матеріалів за допомогою програмного забезпечення. Досліджено вплив зміни температури робочої зони контакту фольги з різними зразками на якісні параметри при гарячому тисненні. Проаналізовано чіткість контурів зображення, покривну здатність.
Для дослідження обрано шість видів різного матеріалу з різною товщиною та фактурою, а саме вініл на паперовій основі марки Vigor 77401, Baladek 26303, Balakron 26402 та шкірзамінники Vivella 4727, Vivella 4716, Charme 4712. При проведенні експериментальних досліджень основну увагу приділено дослідженню впливу таких параметрів тиснення, які впливають на якість отримуваних відбитків, що є тиск, час тиснення і температура нагрівання штампа. Гаряче тиснення виконувалось при постійному тискові 3050 Н/см2 на двох різних тигельних пресах ручному та півавтоматичному. Значення температури коливались від 100 до 120° С, час контакту від 0,5 до 5 с.
За результатами проведених експериментальних досліджень та наведеними експертними оцінками побудовано графіки залежності якісних параметрів фольгованого відбитка від температури тиснення та часу контакту. Виявлено, що найкращий результат покривної здатності зразків гарячого тиснення фольгою досягнуто при оптимальному значенні температури на автоматичному пресі 110° С, а на ручному пресі — 120° С. При дослідженні впливу часу контакту на чіткість границь найвищої експертної оцінки отримало оптимальне значення температури на автоматичному пресі 110° С при часі контакту 1 с, а на ручному пресі — 120° С при часі контакту 4–5 с.
Printing Protocol: Physical ZKPs for Decomposition Puzzles
Suthee Ruangwises, Mitsugu Iwamoto
Decomposition puzzles are pencil-and-paper logic puzzles that involve partitioning a rectangular grid into several regions to satisfy certain rules. In this paper, we construct a generic card-based protocol called printing protocol, which can be used to physically verify solutions of decompositon puzzles. We apply the printing protocol to develop card-based zero-knowledge proof protocols for two such puzzles: Five Cells and Meadows. These protocols allow a prover to physically show that he/she knows solutions of the puzzles without revealing them.
Adverse weather amplifies social media activity
Kelton Minor, Esteban Moro, Nick Obradovich
Humanity spends an increasing proportion of its time interacting online. Scholars are intensively investigating the societal drivers and resultant impacts of this collective shift in our allocation of time and attention. Yet, the external factors that regularly shape online behavior remain markedly understudied. Do environmental factors alter rates of online activity? Here we show that adverse meteorological conditions markedly increase social media use in the United States. To do so, we employ climate econometric methods alongside over three and a half billion social media posts from tens of millions of individuals from both Facebook and Twitter between 2009 and 2016. We find that more extreme temperatures and added precipitation each independently amplify social media activity. Weather that is adverse on both the temperature and precipitation dimensions produces markedly larger increases in social media activity. On average across both platforms, compared to the temperate weather baseline, days colder than -5°C with 1.5-2cm of precipitation elevate social media activity by 35%. This effect is nearly three times the typical increase in social media activity observed on New Year's Eve in New York City. We observe meteorological effects on social media participation at both the aggregate and individual level, even accounting for individual-specific, temporal, and location-specific potential confounds.
Flexible Multi-DoF Aerial 3D Printing Supported with Automated Optimal Chunking
Marios-Nektarios Stamatopoulos, Avijit Banerjee, George Nikolakopoulos
The future of 3D printing utilizing unmanned aerial vehicles (UAVs) presents a promising capability to revolutionize manufacturing and to enable the creation of large-scale structures in remote and hard- to-reach areas e.g. in other planetary systems. Nevertheless, the limited payload capacity of UAVs and the complexity in the 3D printing of large objects pose significant challenges. In this article we propose a novel chunk-based framework for distributed 3D printing using UAVs that sets the basis for a fully collaborative aerial 3D printing of challenging structures. The presented framework, through a novel proposed optimisation process, is able to divide the 3D model to be printed into small, manageable chunks and to assign them to a UAV for partial printing of the assigned chunk, in a fully autonomous approach. Thus, we establish the algorithms for chunk division, allocation, and printing, and we also introduce a novel algorithm that efficiently partitions the mesh into planar chunks, while accounting for the inter-connectivity constraints of the chunks. The efficiency of the proposed framework is demonstrated through multiple physics based simulations in Gazebo, where a CAD construction mesh is printed via multiple UAVs carrying materials whose volume is proportionate to a fraction of the total mesh volume.
GREENER: Graph Neural Networks for News Media Profiling
Panayot Panayotov, Utsav Shukla, Husrev Taha Sencar
et al.
We study the problem of profiling news media on the Web with respect to their factuality of reporting and bias. This is an important but under-studied problem related to disinformation and "fake news" detection, but it addresses the issue at a coarser granularity compared to looking at an individual article or an individual claim. This is useful as it allows to profile entire media outlets in advance. Unlike previous work, which has focused primarily on text (e.g.,~on the text of the articles published by the target website, or on the textual description in their social media profiles or in Wikipedia), here our main focus is on modeling the similarity between media outlets based on the overlap of their audience. This is motivated by homophily considerations, i.e.,~the tendency of people to have connections to people with similar interests, which we extend to media, hypothesizing that similar types of media would be read by similar kinds of users. In particular, we propose GREENER (GRaph nEural nEtwork for News mEdia pRofiling), a model that builds a graph of inter-media connections based on their audience overlap, and then uses graph neural networks to represent each medium. We find that such representations are quite useful for predicting the factuality and the bias of news media outlets, yielding improvements over state-of-the-art results reported on two datasets. When augmented with conventionally used representations obtained from news articles, Twitter, YouTube, Facebook, and Wikipedia, prediction accuracy is found to improve by 2.5-27 macro-F1 points for the two tasks.
Fabrication and transfer print based integration of free-standing GaN membrane micro-lenses onto semiconductor chips
Nils Kolja Wessling, Saptarsi Ghosh, Benoit Guilhabert
et al.
We demonstrate the back-end integration of broadband, high-NA GaN micro-lenses by micro-assembly onto non-native semiconductor substrates. We developed a highly parallel micro-fabrication process flow to suspend micron scale plano-convex lens platelets from 6" Si growth wafers and show their subsequent transfer-printing integration. A growth process targeted at producing unbowed epitaxial wafers was combined with optimisation of the etching volume in order to produce flat devices for printing. Lens structures were fabricated with 6 to 11 $μ$m diameter, 2 $μ$m height and root-mean-squared surface roughness below 2 nm. The lenses were printed in a vertically coupled geometry on a single crystalline diamond substrate and with $μ$m-precise placement on a horizontally coupled photonic integrated circuit waveguide facet. Optical performance analysis shows that these lenses could be used to couple to diamond nitrogen vacancy centres at micron scale depths and demonstrates their potential for visible to infrared light-coupling applications.
en
physics.app-ph, cond-mat.mes-hall
On Electroconvection in Porous Media
Elie Abdo, Mihaela Ignatova
We address existence, uniqueness and analyticity of solutions of an electroconvection model in porous media.
Structural and Semiotic Features of the Virtual Narrative in Immersive RIA.Lab Projects
Oleg R. Samartsev, Vera M. Latenkova, Nikolai A. Sleptsov
The article examines the semiotic features of the virtual narrative in the projects of RIA.Lab platform of the leading Russian news agency “Russia Today”. The aim is to analyze the structural, linguistic and iconic elements of the virtual narrative in relation to the projects of immersive journalism, highlighting their features, taking into account the multimodal nature of virtual reality and the simulative aspect of the sign system of immersive works. Virtual space is not only a narrative environment with special topos, chronotope and other narrative elements, but is itself a semiotic element, participating in the process of semiosis, the space of virtual “language game”. The thesis is put forward that VR, being an element of the multimodal information and communication universe, contains in its structure other modalities (TV, radio, cinema, print formats), and is multidimensional, a kind of “modus in modus”. The thesis on the priority of the modeling approach to the creation of immersive mass-media content over the simulative one and the necessity of observing the balance between modeling and simulation in immersive journalism are discussed. The specifics of conventional conditions of interpretation of simulacra signs in virtual space, which depend on the degree of their identity to the signs of real reality and the “rules of the virtual game”, set by the authors, are outlined. The directions of increasing the pragmatic efficiency of virtual narrative through the variability of its affords, the use of emphases, haptics (tactile experience) and other means of VR are outlined.
InfoPrint: Embedding Information into 3D Printed Objects
Weiwei Jiang, Chaofan Wang, Zhanna Sarsenbayeva
et al.
We present a technique to embed information invisible to the eye inside 3D printed objects. The information is integrated in the object model, and then fabricated using off-the-shelf dual-head FDM (Fused Deposition Modeling) 3D printers. Our process does not require human intervention during or after printing with the integrated model. The information can be arbitrary symbols, such as icons, text,binary, or handwriting. To retrieve the information, we evaluate two different infrared-based imaging devices that are readily available-thermal cameras and near-infrared scanners. Based on our results, we propose design guidelines for a range of use cases to embed and extract hidden information. We demonstrate how our method can be used for different applications, such as interactive thermal displays, hidden board game tokens, tagging functional printed objects, and autographing non-fungible fabrication work.
Gramophone, Masinatahikan – Typewriter, Press, Our Mother(s) Tongue: Reflections on Indigenous (First Nations and Métis) Literacies and Media
Gloria Jane Bell
This essay discusses a wide range of media—including an 1853 Albion Cree Press, a Cree typewriter, and contemporary Indigenous artworks—to create a sense of the multiplicity of Indigenous technologies available for study today and the vastness of the visual record. While older art historical studies would be limited to so-called high art, namely paintings and sculpture, this essay takes an expansive approach to consider multiple examples of visual culture in the formation of Indigenous literacy traditions. The work considers the importance of birchbark biting and moss in the pictorial record, for example, as a form of Indigenous technology. This essay has also been inspired by recent conversations with my mom and colleagues in the discipline of contemporary art and for that I am thankful and try to reflect a more conversational approach to the media discussed herein as a methodology of upending binaries and tensions of spoken and unspoken and not-as-yet written stories. The research engages in visual analysis of Indigenous literary artifacts and images. By Indigenous literacies I mean the way Indigenous people have engaged and engage technologies and media to move ideas forward, to create art and culture. The essay takes a speculative approach, using some stories about artworks and narrative approaches to honor a history of Métis and Cree paths to knowledge that are based on storytelling rather than definitive histories. As a person of Métis ancestry on my maternal side, I write this essay not as a fluent Cree or Michif speaker, but as one who is in a life-long process of language learning. Analysis of visual imagery expands staid notions and simplistic understandings of Indigenous literacies as solely based on writing.
Bibliography. Library science. Information resources
News Writing for Print
Ricky Telg, Lisa Lundy
This publication about news writing for print is the second of a five-part series on news media writing. This series also covers an introduction to news media writing, grammar and punctuation, news writing for television and radio, and interviews for news stories. Minor revision by Ricky Telg and Lisa Lundy. Published by the UF/IFAS Department of Agricultural Education and Communication. 5pp.
Accessibility Summary:
In accordance with Title II regulations this content meets all points of exemption as Archived web content and/or Preexisting conventional electronic documents.
Agriculture (General), Plant culture
News at Work: Imitation in an Age of Information Abundance
P. Boczkowski
Attention and misinformation sharing on social media
Zaid Amin, Nazlena Mohamad Ali, Alan F. Smeaton
The behaviour of sharing information on social media should be fulfilled only when a user is exhibiting attentive behaviour. So that the useful information can be consumed constructively, and misinformation can be identified and ignored. Attentive behaviour is related to users' cognitive abilities in their processing of set information. The work described in this paper examines the issue of attentive factors that affect users' behaviour when they share misinformation on social media. The research aims to identify the significance of prevailing attention factors towards sharing misinformation on social media. We used a closed-ended questionnaire which consisted of a psychometric scale to measure attention behaviour with participants (n = 112). The regression equation results are obtained as: y=(19,533-0,390+e) from a set of regression analyses shows that attention factors have a significant negative correlation effect for users to share misinformation on social media. Along with the findings of the analysis results, we propose that attentive factors are incorporated into a social media application's future design that could intervene in user attention and avoid potential harm caused by the spread of misinformation.
Open Source Computer Vision-based Layer-wise 3D Printing Analysis
Aliaksei L. Petsiuk, Joshua M. Pearce
The paper describes an open source computer vision-based hardware structure and software algorithm, which analyzes layer-wise the 3-D printing processes, tracks printing errors, and generates appropriate printer actions to improve reliability. This approach is built upon multiple-stage monocular image examination, which allows monitoring both the external shape of the printed object and internal structure of its layers. Starting with the side-view height validation, the developed program analyzes the virtual top view for outer shell contour correspondence using the multi-template matching and iterative closest point algorithms, as well as inner layer texture quality clustering the spatial-frequency filter responses with Gaussian mixture models and segmenting structural anomalies with the agglomerative hierarchical clustering algorithm. This allows evaluation of both global and local parameters of the printing modes. The experimentally-verified analysis time per layer is less than one minute, which can be considered a quasi-real-time process for large prints. The systems can work as an intelligent printing suspension tool designed to save time and material. However, the results show the algorithm provides a means to systematize in situ printing data as a first step in a fully open source failure correction algorithm for additive manufacturing.
Generation and Structural Characterization of Debye Random Media
Zheng Ma, Salvatore Torquato
In their seminal paper on scattering by an inhomogeneous solid, Debye and coworkers proposed a simple exponentially decaying function for the two-point correlation function of an idealized class of two-phase random media. Such {\it Debye random media}, which have been shown to be realizable, are singularly distinct from all other models of two-phase media in that they are entirely defined by their one- and two-point correlation functions. To our knowledge, there has been no determination of other microstructural descriptors of Debye random media. In this paper, we generate Debye random media in two dimensions using an accelerated Yeong-Torquato construction algorithm. We then ascertain microstructural descriptors of the constructed media, including their surface correlation functions, pore-size distributions, lineal-path function, and chord-length probability density function. Accurate semi-analytic and empirical formulas for these descriptors are devised. We compare our results for Debye random media to those of other popular models (overlapping disks and equilibrium hard disks), and find that the former model possesses a wider spectrum of hole sizes, including a substantial fraction of large holes. Our algorithm can be applied to generate other models defined by their two-point correlation functions, and their other microstructural descriptors can be determined and analyzed by the procedures laid out here.
en
cond-mat.dis-nn, cond-mat.stat-mech
Minimizing Acquisition Maximizing Inference -- A demonstration on print error detection
Suyash Shandilya
Is it possible to detect a feature in an image without ever looking at it? Images are known to have sparser representation in Wavelets and other similar transforms. Compressed Sensing is a technique which proposes simultaneous acquisition and compression of any signal by taking very few random linear measurements (M). The quality of reconstruction directly relates with M, which should be above a certain threshold for a reliable recovery. Since these measurements can non-adaptively reconstruct the signal to a faithful extent using purely analytical methods like Basis Pursuit, Matching Pursuit, Iterative thresholding, etc., we can be assured that these compressed samples contain enough information about any relevant macro-level feature contained in the (image) signal. Thus if we choose to deliberately acquire an even lower number of measurements - in order to thwart the possibility of a comprehensible reconstruction, but high enough to infer whether a relevant feature exists in an image - we can achieve accurate image classification while preserving its privacy. Through the print error detection problem, it is demonstrated that such a novel system can be implemented in practise.
Restoration of the main façade of Gaudí’s Casa Batlló
Xavier Villanueva, Joan Olona, Manuel Angel Iglesias-Campos
et al.
In accordance with Casa Batlló’s Conservation Plan, the initial project contemplated a minimal intervention of maintenance and conservation. Prior to the start of the intervention, studies and tests were carried out, to find out, check and determine the different methodologies and materials to be used. However, a careful inspection of the façade revealed pathological processes and undocumented findings about the construction techniques. These studies and the results of the tests allowed to agree upon the procedures and materials to be used.
Conservation and restoration of prints, Architectural drawing and design