The Manipulative Power of Advertisements in shaping Consent to future Socioeconomic Trends by Jasna Kolovrat

“…Layers, complexity and technically polished audiovisual experiences, made possible by AI, AR and VR technology, opened up space for commercials to go beyond the framework of their established concept, i.e. encouraging consumerism with the aim of quick financial gain. …”
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Transforming Customer Experience through Artificial Intelligence: The Marketers’ Perspective by Vatroslav Škare

“…Purpose – The emergence of artificial intelligence (AI) created many opportunities for improving and enhancing customer experiences in the digital environment. …”
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Between the cracks: Blind spots in regulating media concentration and platform dependence in the EU by Theresa Josephine Seipp, Natali Helberger, Claes de Vreese, Jef Ausloos

“…We find that neither the infrastructural power of platforms – transforming them from “gatekeepers” to “digital infrastructure and AI providers” – nor their relational power – creating imbalances and dependencies while posing sustainability challenges for (local) journalism – are effectively addressed in the current EU regulatory frameworks, despite both forms of power driving digital media concentration. …”
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Research Trends on the Integration of Science and Character Education: A Bibliometric Analysis Review by H Hamdi, Ahmad Riduan, Puspita Ais Anggraini, Luqman Baehaqi, Abdul Syahid, Ali Anhar Syi’bul Huda, M Mualimin

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Consensus for Operating Room Multimodal Data Management: Identifying Research Priorities for Data-Driven Surgery by Alain Garcia Vazquez, MD, Juan Verde, MD, Ariosto Hernandez Lara, MD, Didier Mutter, MD, Lee Swanstrom, MD, 5G-OR Research Committee, 5G-OR Consensus Panel, Ariosto Hernandez Lara, Barbara Seeliger, Daniel Hashimoto, Deepak Alapatt, Joel Lavanchy, Juan Verde, Lise Lecointre, Pietro Mascagni, Pr.Danail Stoyanov, Didier Mutter, MD, Dirk Willhelm, MD, Pr.Gerald Fried, MD, Gretchen Jackson, MD, PhD, Jean-Paul Mazellier, PhD, Lee Swanstrom, MD, Pr.Lena Maier-Hein, Pr.Nicolas Padoy, PhD, Pr.Sascha Treskatsch, MD, Pr.Silvana Perretta, MD, PhD, Pr.Stefanie Speidel, Pr.Teodor Grantcharov, Annika Mareike Engel, BSc, MEng, Axel Boese, DrIng, Carla M. Pugh, MD, PhD, Cesare Hassan, Fabian Dietrich, PhD, Felix Nickel, MD, MME, Franziska Jurosch, MSc, Guido Beldi, MD, Henriette Hegermann, Dr, Johannes Horsch, Dipl-Ing, Julian Rosenkranz, Ing, MSc, Keno Sponheuer, DrMed, Luca Milone, MD, PhD, FACS, Nariaki Okamoto, MD, PhD, Patrick Seeling, PhD, Pedro Filipe Pereira Gouveia, MD, PhD, Roland Croner, Prof.Dr, Sandra Keller, PhD, Sharona B Ross, Taiga Wakabayashi, MD, Ph.D, Takeaki Ishizawa, MD, PhD, Takeshi Urade, MD, PhD, Thomas Schnelldorfer, MD, PhD, Thorge Lackner, MSc, and MEng

“…Consensus panelists have identified key research areas, including digitizing operating room (OR) activities, improving data streaming through advanced technologies, uniform protocols for handling multimodal data, and integrating AI for efficiency and safety. The roadmap prioritizes standardizing OR data formats, integrating OR data with patient information, ensuring regulatory compliance, standardizing surgical AI models, and securing data transfers in the next generation of wireless networks. …”
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Exploration of 3D Few-Shot Learning Techniques for Classification of Knee Joint Injuries on MR Images by Vinh Hiep Dang, Minh Tri Nguyen, Ngoc Hoang Le, Thuan Phat Nguyen, Quoc-Viet Tran, Tan Ha Mai, Vu Pham Thao Vy, Truong Nguyen Khanh Hung, Ching-Yu Lee, Ching-Li Tseng, Nguyen Quoc Khanh Le, Phung-Anh Nguyen

“…This approach fosters rapid AI tool development for knee injuries and offers a scalable solution for data scarcity in other medical imaging domains, potentially democratizing AI-assisted diagnostics, particularly for rare conditions or in resource-limited settings.…”
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Industrial data-driven machine learning soft sensing for optimal operation of etching tools by Feiyang Ou, Henrik Wang, Chao Zhang, Matthew Tom, Sthitie Bom, James F. Davis, Panagiotis D. Christofides

“…For example, artificial intelligence (AI) machine learning-based soft sensors can increase operational productivity and machine tool performance while still ensuring that critical product specifications are met. …”
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Digital transformation in the construction industry: Analysing the impact of technological changes on construction processes by Olena Emelianova, Viktoriya Tytok, Kateryna Lavrukhina, Inna Shatrova, Olena Demydova

“…The study determined which digital technologies, such as BIM, IoT, and AI, are most important to construction organisations. …”

Programmable DNA-based biomaterials for bone tissue engineering by Xiaoyue Xu, Erfeng Kou, Honglu Zhang, Kunyu Zhang, Huan Zhang

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Subjective Experiences of Older Adults Practicing Taiji and Qigong by Yang Yang, Sharon DeCelle, Mike Reed, Karl Rosengren, Robert Schlagal, Jennifer Greene

“…This article presents a qualitative study following a 6-month Taiji (T'ai Chi)/Qigong (Ch'i Kung) intervention for older adults. …”
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A flare removal network for night vision perception: Resistant to the interference of complex light by Yan Liu, Guan Huang, Wenting Qi, Yujie Li

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Plant-based nanotherapeutics: A new frontier in disease management and prevention by Sumitha Elayaperumal, Yuvaraj Sivamani, Parth Agarwal, Nimmy Srivastava

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Digital Transformation and Artificial Intelligence-Assisted Auditing: The Role of Technology in Internal Audit Processes in 2025 by Sultan Kılıç, Hüseyin Sevim, Kadir Gökoğlan

“…Recently, artificial intelligence (AI) technologies and digital transformation concepts have led to changes in internal audit activities. …”
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Integrating technological innovation in the halal industry: An analysis using PRISMA by Ririn Riani, Ihsanul Ikhwan, Aam Slamet Rusydiana

“…Findings – This study identifies the challenges and opportunities in adopting technologies such as IoT, blockchain, and AI within the halal sector, and offers suggestions for overcoming these challenges based on the existing literature. …”
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Deep learning in oral surgery for third molar extraction: empirical evidence and original model by Deyan Neychev, Ralitsa Raycheva, Nadezhda Kafadarova

“…The advent of artificial intelligence (AI) in all spheres of life, including medicine, has created the technical ability to process a variety of types and characteristics of data related to many diseases. …”
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Using qualitative data to inform the adaptation of a stroke preparedness health intervention by Mellanie V. Springer, Tiffany Hodges, Cristi Lanning, Michael Tupper, Lesli E. Skolarus

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Cultural intelligence and inclusive leadership in a diverse IT sector: a framework for effective collaboration by Камрун Нахар, Омар Фарук, Захир Райхан

“… The internationalization of the IT business has created culturally varied teams, which have their own pros and cons.  …”
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A unified IoT architectural model for smart hospitals: enhancing interoperability, security, and efficiency through clinical information systems (CIS) by Fatemeh Yadegari, Abbas Asosheh

“…The Knowledge Layer integrates AI and big data analytics for predictive diagnostics and intelligent decision-making. …”
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Learning Technologies, Science and Mathematics Education, and Online Learning by Clayton Smith

“…The articles include an examination of the ways to integrate immersive-learning tools into practice-oriented learning, a bibliometric analysis of global trends in learning technology within the field of psychology, the intersection of generational characteristics and AI integration in master’s education, and a description of an innovative initiative that created a publicly accessible e-book comprising digital media research assignments. …”
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Chitosan nanoparticle delivery systems: An effective approach to enhancing efficacy and safety of anticancer drugs by Anil Kumar Grewal, Raj Kumar Salar

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