Drawing forensic conclusions from an image or a video is known as "photographic content analysis." It involves the analysis of an image, as well as objects, actions, and events depicted in images or video. In recent years, photographic depictions of objects suspected as illegal firearms have substantially increased, appearing on CCTV surveillance footage, captured by mobile phones and shared on social media. However, the law in Israel states that a person can be charged with illegally possessing a firearm only if it can be proven that the object is capable of shooting with lethal bullet energy. This becomes more challenging in cases where the firearm was not physically seized, and the evidence exclusively consists of images and video. In this study, photographic content analysis was applied to images and video where objects suspected as commercial or improvised firearms had been depicted. An image and event sequence reconstruction video databases of both firearms and replicas were created in order to better define firearm-specific functional morphological features. We demonstrate that it is possible to classify an object as a firearm by analyzing the functional, and not only the esthetic, morphology in images and video. It is also shown that event sequence reconstruction in video may be used to infer that an object suspected as a firearm has the capacity to shoot by confirming the occurrence of a shooting act or shooting process. Thus, photographic content analysis may be used to forensically establish that an object depicted in an image or a video is a firearm by ruling out other known scenarios, and without physically seizing it.
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http://dx.doi.org/10.1111/1556-4029.15363 | DOI Listing |
Curr Probl Diagn Radiol
January 2025
The Russell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, MD, USA. Electronic address:
The American Board of Radiology Core exam requires that trainees demonstrate knowledge of critical concepts across 12 domains spanning a range of imaging modalities and anatomic regions. Mobile apps have become popular components of medical and radiology education since the inception of smartphones. Numerous medical educational apps are accessible via smartphone devices and tablets, regardless of operating system, for medical training and learning purposes.
View Article and Find Full Text PDFWorld Neurosurg
January 2025
Department of Neurological Surgery, University of Louisville, Louisville, KY, USA. Electronic address:
Aneurysms of the middle cerebral artery (MCA) account for up to 40% of all unruptured intracranial aneurysms [1-3] and 14% to 20% of ruptured ones. [4-5] Giant MCA aneurysms are rare, representing 10% of cases [6], but carry an aggressive natural history, with the UCAS Japan study reporting an annual rupture rate of ∼ 17%. [7].
View Article and Find Full Text PDFEur Arch Otorhinolaryngol
January 2025
Department of Otolaryngology-Head and Neck Surgery, IRCCS Regina Elena National Cancer Institute, Istituti Fisioterapici Ospitalieri (IFO), Via Elio Chianesi 53, 00144, Rome, Italy.
Objectives: we evaluated the hypothesis that level of ctHPVDNA on the first postoperative day (POD-1); and at 15 days (POD-15) could be associated with the need for adjuvant therapy and the presence of recurrence.
Materials And Methods: this is a prospective observational study on biomarkers, focusing on the longitudinal monitoring of ctHPVDNA in a cohort of HPV-OPSCC patients undergoing TORS. Blood samples were collected according to the following schema: (1) pretreatment; (2) on first postoperative day (POD 1); and (3) at 15 days (POD 15).
Sci Rep
January 2025
School of Electronic and Information Engineering, Changsha Institute of Technology, Changsha, 410200, China.
In order to solve the limitations of flipped classroom in personalized teaching and interactive effect improvement, this paper designs a new model of flipped classroom in colleges and universities based on Virtual Reality (VR) by combining the algorithm of Contrastive Language-Image Pre-Training (CLIP). Through cross-modal data fusion, the model deeply combines students' operation behavior with teaching content, and improves teaching effect through intelligent feedback mechanism. The test data shows that the similarity between video and image modes reaches 0.
View Article and Find Full Text PDFNutrients
January 2025
Department of Psychology, Toronto Metropolitan University, 350 Victoria St., Toronto, ON M5B 2K3, Canada.
Background/objectives: Appearance-related social media, such as "thinspiration" and "fitspiration" posts, have been shown to contribute to poor body image and disordered eating. Food-related social media is becoming increasingly popular; however, far less is known about its relationship to body image and disordered eating.
Methods: The current review searched PsycNet and PubMed (Medline) for all the literature examining food-related social media and its relationship with body image and/or disordered eating outcomes.
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