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Several years ago, it had been discussed that nonlogarithmic entropies, such as the Tsallis q-entropy cannot be applied to systems with continuous variables. Now, in their recent paper [Phys. Rev. E 97, 012104 (2018)10.1103/PhysRevE.97.012104], Oikonomou and Bagci have modified the form of the q-entropy for discrete variables in such a way that its continuum limit exists. Here, it is shown that this modification violates the expandability property of entropy, and their work is actually supporting evidence for the absence of the q-entropy for systems with continuous variables.
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http://dx.doi.org/10.1103/PhysRevE.97.066101 | DOI Listing |
Unlabelled: Crimes against the sexual integrity of the individual represent one of the most serious forms of violence.
Objective: To perform a retrospective epidemiological analysis with the systematization of analytical data on the performed forensic medical examinations (FMEs) of survivors of sexual abuse in order to increase the effectiveness of the system of preventive measures against such crimes.
Material And Methods: The data from the industry statistical report №42 were analyzed.
JMIR Hum Factors
September 2025
KK Women's and Children's Hospital, Singapore, Singapore.
Background: Breast cancer treatment, particularly during the perioperative period, is often accompanied by significant psychological distress, including anxiety and uncertainty. Mobile health (mHealth) interventions have emerged as promising tools to provide timely psychosocial support through convenient, flexible, and personalized platforms. While research has explored the use of mHealth in breast cancer prevention, care management, and survivorship, few studies have examined patients' experiences with mobile interventions during the perioperative phase of breast cancer treatment.
View Article and Find Full Text PDFDrugs Aging
September 2025
Dalla Lana School of Public Health, University of Toronto, V1 06, 2075 Bayview Avenue, Toronto, ON, M4N 3M5, Canada.
Background And Objectives: Older adults living with dementia are a heterogeneous group, which can make studying optimal medication management challenging. Unsupervised machine learning is a group of computing methods that rely on unlabeled data-that is, where the algorithm itself is discovering patterns without the need for researchers to label the data with a known outcome. These methods may help us to better understand complex prescribing patterns in this population.
View Article and Find Full Text PDFNephrol Dial Transplant
September 2025
Department of Pediatrics, RWTH Aachen University Hospital, Aachen, Germany.
Adolescents and young adults with chronic kidney disease (CKD), particularly those with genetic kidney diseases, face unique challenges as they transition from pediatric to adult nephrology care. This period is marked not only by changes in healthcare providers but also by significant developmental, psychosocial, and medical complexities. In response, the ERA Working Group on Genes and Kidney and the ESPN Working Group on Inherited Kidney Diseases have collaborated to develop practical advice for healthcare professionals involved in transition care across Europe and beyond.
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