Aim: The goal of the Collaboration Spotting project is to create an automatic system to collect information about publications and patents related to a given technology, to identify the key players involved, and to highlight collaborations and related technologies. The collected information can be visualized in a web browser as interactive graphical maps showing in an intuitive way the players and their collaborations (Sociogram) and the relations among the technologies (Technogram). We propose to use the system to study technologies related to oral medicine.
Methods: In order to create a sociogram, we create a logical filter based on a set of keywords related to the technology under study. This filter is used to extract a list of publications from the Web of Science™ database. The list is validated by an expert in the technology and sent to CERN where it is inserted in the Collaboration Spotting database. Here, an automatic software system uses the data to generate the final maps.
Results: We studied a set of recent technologies related to bone regeneration procedures of oro-maxillo-facial critical size defects, namely the use of porous hydroxyapatite (HA) as a bone substitute alone (bone graft) or as a tridimensional support (scaffold) for insemination and differentiation ex vivo of mesenchymal stem cells. We produced the sociograms for these technologies and the resulting maps are now accessible on-line.
Conclusion: The Collaboration Spotting system allows the automatic creation of interactive maps to show the current and historical state of research on a specific technology. These maps are an ideal tool both for researchers who want to assess the state-of-the-art in a given technology, and for research organizations who want to evaluate their contribution to the technological development in a given field. We demonstrated that the system can be used in oral medicine as is produced the maps for an initial set of technologies in this field. We now plan to enlarge the set of mapped technologies in order to make the Collaboration Spotting system a useful reference tool for oral medicine research.
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Int J Clin Pediatr Dent
December 2024
Department of Pediatric and Preventive Dentistry, KVG Dental College and Hospital, Sullia, Karnataka, India.
Background: Early childhood caries (ECC) is a multifactorial disease with known etiologic factors and can be very devastating to the oral and general well-being of a child, including psychological impacts on a growing child. Young children constitute a vulnerable population because of their dependence and inability to communicate their needs. Oral health disparities continue to pose critical challenges, as ECC is the most common chronic disease of childhood.
View Article and Find Full Text PDFAME Case Rep
December 2024
Department of Dermatology, King Fahad Medical City, Riyadh, Saudi Arabia.
Background: Phakomatosis pigmentovascularis (PPV) is a rare congenital cutaneous syndrome characterized by capillary malformation and extensive dermal melanosis. The complexity of PPV is reflected in its evolving classification systems. Systemic manifestations encompass ocular, neurological, vascular, musculoskeletal, and renal involvement.
View Article and Find Full Text PDFFront Med (Lausanne)
January 2025
Department of Acupuncture, Qingdao Central Hospital, University of Health and Rehabilitation Sciences (Qingdao Central Hospital), Qingdao, China.
Background: Optic atrophy (OA) is primarily caused by damage to the retinal pathway system, including widespread degeneration of retinal ganglion cells and axons, leading to visual impairment and blindness. Despite its clinical significance and diverse etiological factors, there is currently a lack of comprehensive bibliometric analyses exploring research trends and hotspots within this field.
Method: This study retrieved relevant literature on OA published between 2003 and 2023 from the Web of Science Core Collection database.
Accid Anal Prev
January 2025
Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 211189, China; Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 211189, China; School of Transportation, Southeast University, Nanjing 211189, China. Electronic address:
Blind spot collisions are a critical and often overlooked threat to pedestrian safety, frequently resulting in severe injuries. This study investigates the impact of automated vehicles equipped with external human-machine interfaces (eHMIs) on pedestrian crossing behavior and safety, focusing on scenarios where AVs create mutual blind spots between pedestrians and adjacent traffic. A virtual reality experiment with 51 participants simulated crossing situations in front of yielding trucks with obstructed pedestrian visibility, featuring three eHMIs: 'Walk,' 'Don't Walk,' and 'Caution! Blind Spots'.
View Article and Find Full Text PDFChem Res Toxicol
January 2025
Lautenberg Environmental Health Sciences Laboratory, Department of Environmental Medicine and Climate Science, Icahn School of Medicine at Mount Sinai, New York, New York, New York 10029, United States.
Dried Matrix Spot (DMS) is a cost-effective and stable sampling technique used in population-based studies, clinical research, and noninvasive chemical and biomarker screening. DMS is especially useful in developing countries like India, where collaborative initiatives are required for its improved applications.
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