Search Results (12)

This study evaluated and integrated automatic pathology equipment and a collaborative robot to create a fully autonomous workflow. We selected the Gemini AS Automated Slide Stainer, ClearVue Coverslipper, and Pannoramic 1000 digital slide scanner, controlled by a UR5e robotic arm. To perform essential clinical laboratory tasks, we determined that the robotic arm, in combination with a custom manipulator, requires 9 degrees of freedom—5 from the robot and 4 from the manufactured manipulator. The patented manipulator is equipped with a camera, LED lighting, and three specialized grippers for object detection and precise handling of equipment doors, magazines, and slides. It is designed to mount onto a standardized robot flange interface (ISO 9409-1-50-4-M6), making it mechanically compatible with various robot arms. A minimum of 24 distinct laboratory tasks were defined for the training of the robotic arm. This autonomous workflow mitigates labor shortages and accelerates diagnostic processes by offloading repetitive tasks, thereby improving efficiency in pathology laboratories. Full article

This study investigates the impact of intelligible background speech on reading disruption utilising neuromarketing methodologies, specifically an eye-tracking webcam (Tobii Sticky) and AI eye-tracking software (Predict, v.1.0.). A cohort of 144 participants from Oxford Business College underwent emotional impact testing, while an AI eye-tracking algorithm analysed attention patterns across 180,000 eye-tracking recordings. Two articles from OxConnect Magazine were presented in varying background formats. Python-based analysis revealed that the HND article consistently outperformed OxFoodbank in maintaining reader engagement and attention. The HND’s structured content yielded higher total attention (white: 49.43%, black: 48.19%) and end attention (white: 27.58%, black: 28.43%). Emotion analysis indicated that HND elicited a more neutral (white mean difference: 0.1514, black: 0.1008) and consistent emotional response, with reduced puzzlement (white mean difference: −0.3296, black: −0.0918). Furthermore, this demonstrates the effectiveness of integrating AI eye-tracking algorithms with webcam eye trackers for comprehensive reading behaviour analysis. These findings provide valuable insights for colleges developing e-magazines, offering evidence-based strategies to enhance student engagement and information retention. By implementing well-structured, visually appealing content, educational institutions can optimise their digital publications to maintain reader attention even in the presence of background distractions, ultimately improving the effectiveness of their e-magazines as educational tools. Full article

The evolution of men’s fashion and lifestyle magazines in Spain since the 1970s reflects shifts in male identity, influenced by the country’s transition from dictatorship to democracy and the liberalizing period of el Destape. This study examines how these magazines capture the adaptations of the “modern man”, emphasizing his pursuit of freedom and alignment with global trends. By analyzing the content of men’s magazines and contrasting them with women’s publications, this study identifies gendered consumption patterns and the role of magazines as both historical records and consumer products. Comparisons reveal how men and women were positioned as both subjects and objects. Results show that men’s magazines initially centered on lifestyle and erotic themes, with successful titles like MAN outlasting less defined publications. Over time, male-targeted magazines broadened their content, increasingly presenting men as consumers of lifestyle topics. This shift parallels the growth of new male-focused magazines since the 2000s, which now leverage social media-driven trends to attract audiences. The study concludes that these magazines have not only shaped male identity but have also reflected capitalist consumer strategies, adapting to digital contexts. Modern male lifestyle magazines, while diversifying themes, remain influenced by traditional gender dynamics that underscore male dominance in cultural narratives. Full article

Crowdfunding platforms are important for startups, since they offer diverse financing options, market validation, and promotional opportunities through an investor community. These platforms provide detailed company information, aiding informed investment decisions within a regulated and secure environment. Machine learning (ML) techniques are important in analyzing large data sets, detecting anomalies and fraud, and enhancing decision-making and business strategies. A systematic review employed PRISMA guidelines, which studied how ML improves fraud detection on digital crowdfunding platforms. The analysis includes English-language studies from peer-reviewed journals published between 2018 and 2023 to analyze the pre- and post-COVID-19 pandemic. The findings indicate that ML techniques such as Random Forest, Support Vector Machine, and Artificial Neural Networks significantly enhance the predictive accuracy and utility of tax planning for startups considering equity crowdfunding. The United States, Germany, Canada, Italy, and Turkey do not present statistically significant differences at the 95% confidence level, standing out for their notable academic visibility. Florida Atlantic and Cornell Universities, Springer and John Wiley & Sons Ltd. publishing houses, and the Journal of Business Ethics and Management Science magazines present the highest citations without statistical differences at the 95% confidence level. Full article

The revolutionary breakthroughs in Machine Learning (ML) and Artificial Intelligence (AI) are extensively being harnessed across a diverse range of domains, e.g., forensic science, healthcare, virtual assistants, cybersecurity, and robotics. On the flip side, they can also be exploited for negative purposes, like producing authentic-looking fake news that propagates misinformation and diminishes public trust. Deepfakes pertain to audio or visual multimedia contents that have been artificially synthesized or digitally modified through the application of deep neural networks. Deepfakes can be employed for benign purposes (e.g., refinement of face pictures for optimal magazine cover quality) or malicious intentions (e.g., superimposing faces onto explicit image/video to harm individuals producing fake audio recordings of public figures making inflammatory statements to damage their reputation). With mobile devices and user-friendly audio and visual editing tools at hand, even non-experts can effortlessly craft intricate deepfakes and digitally altered audio and facial features. This presents challenges to contemporary computer forensic tools and human examiners, including common individuals and digital forensic investigators. There is a perpetual battle between attackers armed with deepfake generators and defenders utilizing deepfake detectors. This paper first comprehensively reviews existing image, video, and audio deepfake databases with the aim of propelling next-generation deepfake detectors for enhanced accuracy, generalization, robustness, and explainability. Then, the paper delves deeply into open challenges and potential avenues for research in the audio and video deepfake generation and mitigation field. The aspiration for this article is to complement prior studies and assist newcomers, researchers, engineers, and practitioners in gaining a deeper understanding and in the development of innovative deepfake technologies. Full article

A digital twin is a computer-based “virtual” representation of a complex system, updated using data from the “real” twin. Digital twins are established in product manufacturing, aviation, and infrastructure and are attracting significant attention in medicine. In medicine, digital twins hold great promise to improve prevention of cardiovascular diseases and enable personalised health care through a range of Internet of Things (IoT) devices which collect patient data in real-time. However, the promise of such new technology is often met with many technical, scientific, social, and ethical challenges that need to be overcome—if these challenges are not met, the technology is therefore less likely on balance to be adopted by stakeholders. The purpose of this work is to identify the facilitators and barriers to the implementation of digital twins in cardiovascular medicine. Using, the Non-adoption, Abandonment, Scale-up, Spread, and Sustainability (NASSS) framework, we conducted a document analysis of policy reports, industry websites, online magazines, and academic publications on digital twins in cardiovascular medicine, identifying potential facilitators and barriers to adoption. Our results show key facilitating factors for implementation: preventing cardiovascular disease, in silico simulation and experimentation, and personalised care. Key barriers to implementation included: establishing real-time data exchange, perceived specialist skills required, high demand for patient data, and ethical risks related to privacy and surveillance. Furthermore, the lack of empirical research on the attributes of digital twins by different research groups, the characteristics and behaviour of adopters, and the nature and extent of social, regulatory, economic, and political contexts in the planning and development process of these technologies is perceived as a major hindering factor to future implementation. Full article

The rise of the Salafi movements in Indonesia during the last two decades has created an increasingly pessimistic view of the status of women in Islam. This paper aims to lessen this negative view by showing the tremendous contribution of ‘Aisyiyah, the oldest modern Muslim women’s organization in Indonesia, to transforming Indonesian society through literacy jihad for women and families. Using in-depth interviews with board members of ‘Aisyiyah, combined with library research to collect primary data on the past activities of ‘Aisyiyah, this qualitative research portrays how ‘Aisyiyah has preserved and maintained its consistency in conducting literacy jihad since the 1920s. Through the establishment of ‘Aisyiyah Bustanul Athfal Kindergarten, usually shortened to TK ABA, and the publication of Suara ‘Aisyiyah magazine, the literacy jihad of ‘Aisyiyah constantly empowers many Muslim women and families, especially those who live in urban areas across the country. Currently, the number of TK ABA has reached nearly 22,000 units, and the Suara ‘Aisyiyah has also entered a digital platform to continue raising the voice of women’s rights in Indonesia. Furthermore, we posit that the literary jihad programs of ‘Aisyiyah provide a new perspective on the relationship between modernist Muslim organizations and the Salafi movements, which have been seen as similar because they both subscribe to the same purification ideology. Full article

Health Communication is key to establishing an empathic relationship between health professionals and their patients. Indeed, the ability to motivate and reassure the patient often determines the success of the therapies proposed. In the past, the relationship between health professionals and patients was centred on treatment and assistance, and health information came in the form of education campaigns based on signage (large posters, etc.). Subsequently, social and cultural changes gave rise to new ways of communicating science: from signage to magazines and television programmes devoted to health issues, through the use of social networks. In particular, fast and cheap access to the Internet and the vast number of app users have made the Web an effective communication tool. Given the potential of technology in the information-seeking process, the use of online channels by health institutions is a valuable tool for divulging medical and scientific knowledge. As a consequence, prompted by the need to provide fast and reliable information to the population, public institutions have adopted such innovative methods as the use of Information and Communication Technologies (ICTs) to convey health-related content. This practice, known as digital health or e-health, provides healthcare information using digital tools (e.g., Websites and social networks), delivered in an easy-to-understand language in order to reach various population groups and bring about better health conditions for all, hence the importance of acquiring and reinforcing communication skills in the healthcare field, where correct and effective communication immediately translates into a benefit for the professionals themselves and for their patients. Full article

The creation of digital repositories for archiving and disseminating scientific resources faces many challenges. These challenges relate not only to the modelling of the processes of preparing, depositing, sharing, maintaining, and curating resources. They also face the feasibility of the adopted assumptions and final implementation. Such kind of issues become particularly important in the case of processing of resources containing multimedia. The critical factor then becomes a properly designed architecture that supports efficient data processing and universal data presentation. This article aims to answer questions that may arise when approaching various designing and implementation dilemmas, such as how to handle processes in a digital repository, how to use cloud solutions in its construction, how to work with user interfaces, and how to process collected multimedia. The presented study explores their practical context based on the experiences gained during the AZON platform’s implementation. This platform stores tens of thousands of scientific resources: books, articles, magazines, teaching materials, presentations, photos, 3D scans, audio and video files, databases, and many more. It serves as a running example for all presented proposals. Full article

Several North American Sikh millennials are creating online values-based fashion enterprises that seek to encourage creative expression, self-determined representation, gender equality, and ethical purchasing, while steeped in the free market economy. Exploring the innovative ways young Sikhs of the diaspora express their values and moral positions in the socio-economic sphere, one finds many fashionistas, artists, and activists who are committed to making Sikh dress accessible and acceptable in the fashion industry. Referred to as “Sikh chic”, the five outwards signs of the Khalsa Sikh—the “5 ks”—are frequently used as central motifs for these businesses (Reddy 2016). At the same time, many young Sikh fashion entrepreneurs are designing these items referencing contemporary style and social trends, from zero-waste bamboo kangas to hipster stylized turbans. Young Sikh women are challenging mainstream representations of a masculine Sikh identity by creating designs dedicated to celebrating Khalsa Sikh females. Drawing on data collected through digital and in-person ethnographic research including one-on-one interviews, participant observation, and social media, as well as fashion magazines and newsprint, I explore the complexities of this phenomenon as demonstrated by two Canadian-based Sikh fashion brands, Kundan Paaras and TrendySingh, and one Canadian-based Sikh female artist, Jasmin Kaur. Full article

Back in 2004, Google Inc. (Menlo Park, CA, USA) began digitizing full texts of magazines, journals, and books dating back centuries. At present, over 25 million books have been scanned and anyone can use the service (currently called Google Books) to search for materials free of charge (including academics of any discipline). All the books have been scanned, converted to text using optical character recognition and stored in its digital database. The present paper describes a very precise six-stage Boolean date-specific research method on Google, referred to as Internet Date Detection (IDD) for short. IDD can be used to examine countless alleged facts and myths in a systematic and verifiable way. Six examples of the IDD method in action are provided (the terms, words, and names ‘self-fulfilling prophecy’, ‘Humpty Dumpty’, ‘living fossil’, ‘moral panic’, ‘boredom’, and ‘selfish gene’) and each of these examples is shown to disconfirm widely accepted expert knowledge belief claims about their history of coinage, conception, and published origin. The paper also notes that Google’s autonomous deep learning AI program RankBrain has possibly caused the IDD method to no longer work so well, addresses how it might be recovered, and how such problems might be avoided in the future. Full article

This paper aims to highlight a link between publishing business innovation and how editors manage creativity in the digital era. Examining the changing industrial and historical business context for the U.K. magazine publishing industry, two case studies are analyzed as representatives of different ends of the publishing company spectrum (one a newly launched magazine published by a major, the other an independent ‘magazine’ website start-up). Qualitative data analysis on publishing innovation and managing creativity is presented as a springboard for further research on magazine media management. Full article