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The effect of quantum steering describes a possible action at a distance via local measurements. Whereas many attempts on characterizing steerability have been pursued, answering the question as to whether a given state is steerable or not remains a difficult task. Here, we investigate the applicability of a recently proposed method for building steering criteria from generalized entropic uncertainty relations. This method works for any entropy which satisfy the properties of (i) (pseudo-) additivity for independent distributions; (ii) state independent entropic uncertainty relation (EUR); and (iii) joint convexity of a corresponding relative entropy. Our study extends the former analysis to Tsallis and Rényi entropies on bipartite and tripartite systems. As examples, we investigate the steerability of the three-qubit GHZ and W states.
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http://dx.doi.org/10.3390/e20100763 | DOI Listing |
Curr Atheroscler Rep
September 2025
Department of Medicine, Division of Cardiovascular Disease, University of Alabama at Birmingham, 521 19th Street South-GSB 444, Birmingham, AL, 35233, USA.
Purpose Of Review: This review examines cardiovascular disease (CVD) risk prediction models relevant to older adults, a rapidly expanding population with elevated CVD risk. It discusses model characteristics, performance metrics, and clinical implications.
Recent Findings: Some models have been developed specifically for older adults, while several others consider a broader age range, including some older individuals.
Ann Biomed Eng
September 2025
Department of Midwifery, Faculty of Health Sciences, Sakarya University, 54100, Sakarya, Turkey.
The incorporation of AI-supported language models into the healthcare sector holds significant potential to revolutionize nursing education, research, and clinical practice. Within this framework, ChatGPT has emerged as a valuable tool for personalizing educational materials, enhancing academic productivity, expediting clinical decision-making processes, and optimizing research efficiency. In the realm of nursing education, ChatGPT offers numerous advantages, including the preparation of course content, facilitation of student assessments, and the development of simulation-based learning environments.
View Article and Find Full Text PDFJMIR Res Protoc
September 2025
Institute of Higher Education and Research in Healthcare, Faculty of Biology and Medicine, University of Lausanne, Lausanne, Switzerland.
Background: In pediatric intensive care units, pain, sedation, delirium, and iatrogenic withdrawal syndrome (IWS) must be managed as interrelated conditions. Although clinical practice guidelines (CPGs) exist, new evidence needs to be incorporated, gaps in recommendations addressed, and recommendations adapted to the European context.
Objective: This protocol describes the development of the first patient- and family-informed European guideline for managing pain, sedation, delirium, and IWS by the European Society of Paediatric and Neonatal Intensive Care.
Nat Rev Neurol
September 2025
Neuromuscular Diseases Unit, Department of Neurology, Hospital de la Santa Creu i Sant Pau (IR SANT PAU), Universitat Autònoma de Barcelona, Barcelona, Spain.
Autoimmune neuropathies, such as Guillain-Barré syndrome (GBS) and chronic inflammatory demyelinating polyradiculoneuropathy (CIDP), are rare, disabling disorders. Diagnosis, follow-up and treatment of autoimmune neuropathies rely almost exclusively on clinical parameters, and the available therapies, such as intravenous immunoglobulins and corticosteroids, date from >30 years ago. The lack of therapeutic progress in autoimmune neuropathies has resulted from a combination of limited understanding of their pathophysiology, disease heterogeneity and challenges in trial design.
View Article and Find Full Text PDFAnn Epidemiol
September 2025
Veterans Health Administration- VA Tennessee Valley Health Care System Geriatric Research, Education and Clinical Center (GRECC), and VETWISE-LHS Center of Innovation, Nashville, TN; Vanderbilt-Ingram Cancer Center, Nashville, TN; Center for Clinical Quality and Implementation Research, Vanderbilt U
Purpose: Tobacco use is not commonly represented as computable information in the electronic health record (EHR). We developed an algorithm in the Veterans Health Administration (VHA) to identify tobacco ever-use among Veterans.
Methods: We used the VHA corporate data warehouse to develop an algorithm comprised of multiple data types (health factors [semi-structured template data entry and decision support tools], billing, orders, medication, and encounter codes) to identify tobacco ever-use (current or former) versus never use.