AI Article Synopsis
- * The article focuses on establishing bounds for angular momentum and electromagnetic charges in relation to total mass and size, particularly for black holes and ordinary objects.
- * While black holes are well-studied in General Relativity, ordinary objects present unresolved challenges, leading to a discussion about the mathematical conditions that yield these geometrical estimates for both types of systems.
Article Abstract
Geometrical inequalities show how certain parameters of a physical system set restrictions on other parameters. For instance, a black hole of given mass can not rotate too fast, or an ordinary object of given size can not have too much electric charge. In this article, we are interested in bounds on the angular momentum and electromagnetic charges, in terms of total mass and size. We are mainly concerned with inequalities for black holes and ordinary objects. The former are the most studied systems in this context in General Relativity, and where most results have been found. Ordinary objects, on the other hand, present numerous challenges and many basic questions concerning geometrical estimates for them are still unanswered. We present the many results in these areas. We make emphasis in identifying the mathematical conditions that lead to such estimates, both for black holes and ordinary objects.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6305357 | PMC |
| http://dx.doi.org/10.1007/s41114-018-0014-7 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
[A comparative assessment of neurochemical and neurophysiological parameters of cardiac surgery patients who underwent different versions of multitasking cognitive training].
Zh Nevrol Psikhiatr Im S S Korsakova
December 2024
Research Institute for Complex Issues of Cardiovascular Diseases, Kemerovo, Russia.
Objective: To compare biomarkers of neurovascular unit (NVU) - S100β, NSE, BDNF and indicators of the brain electrical activity in patients who underwent coronary artery bypass grafting (CABG) depending on the use of different versions of multi-tasking cognitive training (CT).
Material And Methods: The study included 89 people, of whom 47 completed the CTI (postural and three cognitive tasks (counting backwards, verbal fluency and the open-ended task «Unusual use of an ordinary object») and 42 patients, who underwent CTII (visuomotor reaction and the same cognitive tasks) in the early postoperative CABG period. The patients of both groups underwent complex testing of psychomotor, executive functions, attention, short-term memory and EEG study in the perioperative period of CABG.
Patient Care as Sacred Rite: Applying Viktor Frankl's Concept of Meaning and Confucian Li to Address Physician Burnout.
J Relig Health
December 2024
Department of Medicine, Weill Cornell Medicine, 170 William Street, New York City, NY, 10038, USA.
Among the many factors causing physician burnout is the difficulty of finding meaning in clinical work. Psychiatrist and philosopher Viktor Frankl believed that meaning, derived from experiences of self-transcendence, can help a person endure extraordinary adversity. The Confucian concept of li may offer a path to finding meaning in clinical work.
View Article and Find Full Text PDFGreenFruitDetector: Lightweight green fruit detector in orchard environment.
PLoS One
November 2024
School of Information Science and Engineering, Xinjiang College of Science & Technology, Korla, China.
Detecting green fruits presents significant challenges due to their close resemblance in color to the leaves in an orchard environment. We designed GreenFruitDetector, a lightweight model based on an improved YOLO v8 architecture, specifically for green fruit detection. In the Backbone network, we replace ordinary convolution with Deformable Convolution to enhance the extraction of geometric features.
View Article and Find Full Text PDFProverbial economies of STS.
Soc Stud Sci
November 2024
Department of Science & Technology Studies, Cornell University, Ithaca, NY, USA.
This article discusses examples from an extended family of aphorisms, stories, and themes that have circulated widely in STS and remain associated with the formation and integration of the field. Drawing upon Harvey Sacks's insightful remarks about features of everyday conversation, which he related to ancient practices in oral culture, we argue that familiar citation magnets in STS operate in many respects like proverbs, parables, and an extended family of neatly and memorably packaged viral articulations in ordinary language. After discussing the contingent production of proverbial truth, the article focuses on three well-known examples that combine memorable proverbs and themes with parables: Winner's account of the low parkway bridges designed by city planner Robert Moses to show that technology politics; Pinch and Bijker's concise history of the bicycle to illustrate the social construction of technology, and Star and Griesemer's viral two-word theme of 'boundary objects' as artifacts that sustain collaboration across organizational contexts.
View Article and Find Full Text PDFPD-YOLO: A study of daily behavioural detection in housed sheep.
PLoS One
November 2024
Qinyang Beisheng Pastoral Industry Co., Ltd., Qinyang, China.
Sheep behavior recognition helps to monitor the health status of sheep and prevent the outbreak of infectious diseases. Aiming at the problems of low detection accuracy and slow speed due to the crowding of sheep in real farming scenarios, which can easily obscure each other, this study proposes a lightweight sheep behavior recognition model based on the YOLOv8n model. First, the Convolutional Block Attention Module (CBAM) is introduced and improved in the YOLOv8n model, and the channel attention module and spatial attention module are changed from serial to parallel to construct a novel attention mechanism, PCBAM, to enhance the network's attention to the sheep and eliminate redundant background information; second, the ordinary convolution in the backbone network is replaced with depth-separable convolution, which effectively reduces the number of parameters in the model and reduces the computational complexity.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!