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A report from Diponegoro University discusses the use of artificial intelligence (AI) and deep learning in medical imaging to identify kidney stones. The research highlights that deep learning is more commonly used than traditional machine learning in this field. The aim of the study was to review existing literature on deep learning in medical imaging for detecting kidney stones. The research concludes that using the appropriate AI model with high accuracy can assist radiologists in accurately detecting kidney stones. This information may be useful for those interested in AI applications in medical diagnostics. [Extracted from the article]

A recent research paper from the Indian Institute of Engineering Science & Technology in West Bengal, India, explores various physicochemical methods for disinfecting contaminated surfaces to control the spread of infectious diseases. The paper discusses methods such as applying chemicals, UV-based processes, ionization radiation, self-disinfecting surfaces, no-touch room disinfection, and robotic disinfection. The use of UVC light combined with hydrogen peroxide has shown to be efficient and faster than other methods. The research concludes that surface disinfection using chemicals and UV radiation methods has been widely reported in the literature. [Extracted from the article]

A report from the University of Sharjah in the United Arab Emirates explores the use of conversational AI chatbots in libraries. The study conducted an integrative literature review to examine existing research on the topic. The review identified several themes, including the evolution of chatbot technology in libraries, antecedents for chatbot use, user experience, chatbot use during COVID-19, and challenges facing chatbot implementation. The research concludes that there is still a significant research gap in this area and provides six potential directions for future research opportunities. [Extracted from the article]

A research study conducted at the University of Craiova explores the use of artificial intelligence (AI) in digital economic education. The study involved a systematic literature review of 60 scientific papers and found that AI is considered an essential element of current digital education, with the potential to transform economic processes. The adoption of AI-based e-learning systems is influenced by technology, trust in the technology's results, and cultural factors, while facing challenges related to resistance to change, digital competences, accessibility, and financial issues. The study also developed a model system of correlations and elements specifically for digital economic education based on AI. [Extracted from the article]

A recent study conducted by researchers at Universitas Widya Kartika explores the meaning-making processes of conspiracy theories on social media. The study focuses on the use of strategic narrative and communication systems by social media influencers. The researchers found that meaning was constructed through the manipulation of signifiers such as Covid-19, Lato-Latto, and Dajjal worshipping, which created polarization among the audience. The study concludes with recommendations to address this issue. For more information, the full research article can be accessed through the provided link. [Extracted from the article]

A new study conducted by researchers at the University of Beira Interior in Covilha, Portugal explores the relationship between academic integrity and artificial intelligence (AI). The study, which used a systematic literature review and bibliometrics, found that AI tools have the potential to both threaten and support academic integrity in higher education. The researchers propose a framework that summarizes the balance between AI and academic integrity and suggest that AI can be used as a tool to detect plagiarism and fraudulent behavior among students. The study emphasizes the need for collaboration between academic institutions, educational institutions, and society to develop affordable policies in this area. [Extracted from the article]

Researchers from UCSI University in Kuala Lumpur, Malaysia have published a report on optical character recognition (OCR), which is the process of extracting and processing text from images. The report highlights the challenges faced during the OCR process, including font properties and image quality. The researchers propose an improved algorithm for OCR using graphical user interface design, which can be used with deep learning software for robotic and AI applications. This research provides valuable insights into the development of OCR technology. [Extracted from the article]

Researchers at the Institute of Educational Technology in Palermo, Italy have developed a storytelling robot that can adopt different persuasive techniques and ethical stances when discussing topics related to COVID-19. The robot is controlled using the ACT-R cognitive architecture and uses a needs-driven model to guide and evaluate the use of persuasive techniques during dialogue. This research represents the first attempt to build a persuasive agent that integrates cognitive assumptions about dialogue management, storytelling, persuasive techniques, and ethical attitudes. The system was evaluated with 63 participants, and the results were published in the International Journal of Social Robotics. [Extracted from the article]

A recent study conducted by researchers at the Indiana University School of Medicine explored the use of an artificial intelligence system called ChatGPT in writing scientific research articles. The researchers prompted ChatGPT to create articles on three different topics and compared the results to articles written solely by humans or a combination of humans and ChatGPT. The study found that articles written only by ChatGPT had a high rate of incorrect references, while articles using an AI-assisted approach required extensive fact-checking. Additionally, the writing style of ChatGPT was repetitive and did not meet the level of scientific writing expected from researchers. Despite concerns, the researchers believe that ChatGPT will continue to be used, especially by non-native English speakers, and suggest the need for guidelines to ensure appropriate use of the tool. [Extracted from the article]