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Entropy (Basel, Switzerland) Mar 2021In this paper, we consider the space-time of a charged mass endowed with an angular momentum. The geometry is described by the exact Kerr-Newman solution of the Einstein...
In this paper, we consider the space-time of a charged mass endowed with an angular momentum. The geometry is described by the exact Kerr-Newman solution of the Einstein equations. The peculiar symmetry, though exact, is usually described in terms of the gravito-magnetic field originated by the angular momentum of the source. A typical product of this geometry is represented by the generalized Sagnac effect. We write down the explicit form for the right/left asymmetry of the times of flight of two counter-rotating light beams along a circular trajectory. Letting the circle shrink to the origin the asymmetry stays finite. Furthermore it becomes independent both from the charge of the source (then its electromagnetic field) and from Newton's constant: it is then associated only to the symmetry produced by the gravitomagnetic field. When introducing, for the source, the spin of a Fermion, the lowest limit of the Heisenberg uncertainty formula for energy and time appears.
PubMed: 33799922
DOI: 10.3390/e23030315 -
The Lancet. Infectious Diseases Aug 2008Tuberculosis continues to cause an unacceptably high toll of disease and death among children worldwide, particularly in the wake of the HIV epidemic. Increased... (Review)
Review
Tuberculosis continues to cause an unacceptably high toll of disease and death among children worldwide, particularly in the wake of the HIV epidemic. Increased international travel and immigration have led to a rise in childhood tuberculosis rates even in traditionally low burden, industrialised settings, and threaten to promote the emergence and spread of multidrug-resistant strains. Whereas intense scientific and clinical research efforts into novel diagnostic, therapeutic, and preventive interventions have focused on tuberculosis in adults, childhood tuberculosis has been relatively neglected. However, children are particularly vulnerable to severe disease and death following infection, and those with latent infection become the reservoir for future transmission following disease reactivation in adulthood, fuelling future epidemics. Further research into the epidemiology, immune mechanisms, diagnosis, treatment, and prevention of childhood tuberculosis is urgently needed. Advances in our understanding of tuberculosis in children would provide insights and opportunities to enhance efforts to control this disease.
Topics: Antitubercular Agents; Child; Child, Preschool; Humans; Infant; Mycobacterium tuberculosis; Tuberculosis; Tuberculosis Vaccines; Tuberculosis, Multidrug-Resistant; Tuberculosis, Pulmonary
PubMed: 18652996
DOI: 10.1016/S1473-3099(08)70182-8 -
Biological Psychiatry Jul 2021Exposure to stress during the course of a lifetime is inevitable in the animal kingdom. It is the response to stress, the valence of the exposure, and the developmental... (Review)
Review
Exposure to stress during the course of a lifetime is inevitable in the animal kingdom. It is the response to stress, the valence of the exposure, and the developmental time point that largely determine the consequences to the initial and subsequent exposures. The versatility of transcriptomic methods to yield rich, high-resolution, information-laden datasets from entire brain regions to single cells makes it a powerful approach to investigate the effects of stress from several angles. Dysregulation of the transcriptome is now a phenotypic signature of many neuropsychiatric disorders. New insight has been gained from examining stress-induced changes in gene expression at a global scale. Human postmortem datasets from depression and posttraumatic stress disorder studies have identified major gene expression changes in the diseased brain, including sex-specific changes and marked differences in male and female molecular profiles for the same disorder. Extensions of this work into animal models have explored the impact of transcriptomic dysregulation on early-life stress, chronic stress, and transgenerational impact of stress. Here, we explore the findings of human postmortem genomic studies of neuropsychiatric disorders and comparable animal models through the lens of transcriptomic dysregulation and how these findings have contributed to our understanding of stress.
Topics: Animals; Brain; Female; Humans; Male; Stress Disorders, Post-Traumatic; Stress, Psychological; Transcriptome
PubMed: 33637305
DOI: 10.1016/j.biopsych.2020.12.011 -
Frontiers in Pharmacology 2021Cognitive deficits are widespread in psychiatric disorders, including major depression and schizophrenia. These deficits are known to contribute significantly to the... (Review)
Review
Cognitive deficits are widespread in psychiatric disorders, including major depression and schizophrenia. These deficits are known to contribute significantly to the accompanying functional impairment. Progress in the development of targeted treatments of cognitive deficits has been limited and there exists a major unmet need to develop more efficacious treatments. Erythropoietin (Epo) has shown promising procognitive effects in psychiatric disorders, providing support for a neurotrophic drug development approach. Several preclinical studies with non-erythropoietic derivatives have demonstrated that the modulation of behavior is independent of erythropoiesis. In this review, we examine the molecular, cellular and cognitive actions of Epo and non-erythropoietic molecular derivatives by focusing on their neurotrophic, synaptic, myelin plasticity, anti-inflammatory and neurogenic mechanisms in the brain. We also discuss the role of receptor signaling in Epo and non-erythropoietic EPO-mimetic molecules in their procognitive effects.
PubMed: 34552490
DOI: 10.3389/fphar.2021.728725 -
Medicina Oral, Patologia Oral Y Cirugia... Jan 2017Inflammatory papillary hyperplasia (IPH) is a benign lesion of the palatal mucosa. It is usually found in denture-wearers but also has been reported in patients without... (Review)
Review
INTRODUCTION
Inflammatory papillary hyperplasia (IPH) is a benign lesion of the palatal mucosa. It is usually found in denture-wearers but also has been reported in patients without a history of use of a maxillary prosthesis use.
OBJECTIVES
The aim of this study is to review the literature to assess the prevalence of denture stomatitis and inflammatory papillary hyperplasia and the etiological factors associated.
MATERIAL AND METHODS
A search was carried out in PubMed (January 2005 to October 2015) with the key words "inflammatory papillary hyperplasia", "denture stomatitis", "granular stomatitis" and "Newton's type III" The inclusion criteria were studies including at least a sample of 50 apparently healthy patients, articles published from 2005 to 2015 written in English. The exclusion criteria were reviews and non-human studies.
RESULTS
Out of the 190 studies obtained initially from the search 16 articles were selected to be included in our systematic review. The prevalence of denture stomatitis was 29.56% and 4.44% for IPH. We found 5 cases of denture stomatitis among non-denture-wearer individuals. All IPH cases were associated with the use of prosthesis. Smoking and continued use of ill-fitting dentures turned out to be the most frequent risk factors for developing IPH.
CONCLUSIONS
IPH is a rare oral lesion and its pathogenesis still remains unclear. Its presentation among non-denture-wearers is extremely unusual.
Topics: Humans; Hyperplasia; Mouth Mucosa; Palate; Prevalence; Stomatitis; Stomatitis, Denture
PubMed: 27918740
DOI: 10.4317/medoral.21405 -
Interface Focus Jun 2023Since Newton, classical and quantum physics depend upon the 'Newtonian paradigm'. The relevant variables of the system are identified. For example, we identify the...
Since Newton, classical and quantum physics depend upon the 'Newtonian paradigm'. The relevant variables of the system are identified. For example, we identify the position and momentum of classical particles. Laws of motion in differential form connecting the variables are formulated. An example is Newton's three laws of motion. The boundary conditions creating the phase space of all possible values of the variables are defined. Then, given any initial condition, the differential equations of motion are integrated to yield an entailed trajectory in the prestated phase space. It is fundamental to the Newtonian paradigm that the set of possibilities that constitute the phase space is always definable and fixed ahead of time. This fails for the diachronic evolution of ever-new adaptations in any biosphere. Living cells achieve constraint closure and construct themselves. Thus, living cells, evolving via heritable variation and natural selection, adaptively construct new-in-the-universe possibilities. We can neither define nor deduce the evolving phase space: we can use no mathematics based on set theory to do so. We cannot write or solve differential equations for the diachronic evolution of ever-new adaptations in a biosphere. Evolving biospheres are outside the Newtonian paradigm. There can be no theory of everything that entails all that comes to exist. We face a third major transition in science beyond the Pythagorean dream that 'all is number' echoed by Newtonian physics. However, we begin to understand the emergent creativity of an evolving biosphere: emergence is not engineering.
PubMed: 37065266
DOI: 10.1098/rsfs.2022.0063 -
PNAS Nexus Nov 2022Interacting particle systems play a key role in science and engineering. Access to the governing particle interaction law is fundamental for a complete understanding of...
Interacting particle systems play a key role in science and engineering. Access to the governing particle interaction law is fundamental for a complete understanding of such systems. However, the inherent system complexity keeps the particle interaction hidden in many cases. Machine learning methods have the potential to learn the behavior of interacting particle systems by combining experiments with data analysis methods. However, most existing algorithms focus on learning the kinetics at the particle level. Learning pairwise interaction, e.g., pairwise force or pairwise potential energy, remains an open challenge. Here, we propose an algorithm that adapts the Graph Networks framework, which contains an edge part to learn the pairwise interaction and a node part to model the dynamics at particle level. Different from existing approaches that use neural networks in both parts, we design a deterministic operator in the node part that allows to precisely infer the pairwise interactions that are consistent with underlying physical laws by only being trained to predict the particle acceleration. We test the proposed methodology on multiple datasets and demonstrate that it achieves superior performance in inferring correctly the pairwise interactions while also being consistent with the underlying physics on all the datasets. While the previously proposed approaches are able to be applied as simulators, they fail to infer physically consistent particle interactions that satisfy Newton's laws. Moreover, the proposed physics-induced graph network for particle interaction also outperforms the other baseline models in terms of generalization ability to larger systems and robustness to significant levels of noise. The developed methodology can support a better understanding and discovery of the underlying particle interaction laws, and hence, guide the design of materials with targeted properties.
PubMed: 36712322
DOI: 10.1093/pnasnexus/pgac264 -
Annals of Cardiothoracic Surgery Nov 2022Many patients and surgeons today favor the least invasive access to an operative site. The adoption of robot-assisted cardiac surgery has been slow, but now has come to... (Review)
Review
Many patients and surgeons today favor the least invasive access to an operative site. The adoption of robot-assisted cardiac surgery has been slow, but now has come to fruition. The development of modern surgical robots took surgeons close collaboration with mechanical, electrical, and optical engineers. Moreover, the necessary project funding required entrepreneurs, federal grants, and venture capital. Non-robotic minimally invasive cardiac surgery paved the way to the application of surgical robots by making changes in operative approaches, instruments, visioning modalities, cardiopulmonary perfusion techniques, and especially surgeons' attitudes. In this article, the serial development of robot-assisted cardiac surgery is detailed from the beginning and through clinical application. Included are references to the historical and most recent clinical series that have given us the evidence that robot-assisted cardiac surgery is safe and provides excellent outcomes. To this end, in many institutions these procedures now have become a new standard of care. This evolution reflects Sir Isaac Newton's famous 1676 quote when referring to Rene Descartes, "If have seen further [] than others, it is by standing on the shoulders of giants".
PubMed: 36483613
DOI: 10.21037/acs-2022-rmvs-26 -
Cellular and Molecular Life Sciences :... May 2013Recent advances in understanding the cellular and molecular basis of psychiatric illnesses have shed light on the important role played by trophic factors in modulating... (Review)
Review
Recent advances in understanding the cellular and molecular basis of psychiatric illnesses have shed light on the important role played by trophic factors in modulating functional parameters associated with disease causality and drug action. Disease mechanisms are now thought to involve multiple cell types, including neurons and endothelial cells. These functionally distinct but interactively coupled cell types engage in cellular cross talk via shared and common signaling molecules. Dysregulation in their cellular signaling pathways influences brain function and alters behavioral performance. Multifunctional trophic factors such as VEGF and EPO that possess both neurotrophic and angiogenic actions are of particular interest due to their ability to rescue structural and plasticity deficits in neurons and vasculature. Obtaining insight into the behavioral, cellular and molecular actions of multi-functional trophic factors has the potential to open new and transformative therapeutic approaches.
Topics: Animals; Antidepressive Agents; Astrocytes; Behavior, Animal; Biomimetics; Cognition Disorders; Depression; Disease Models, Animal; Endothelial Cells; Erythropoietin; Humans; Neurons; Vascular Endothelial Growth Factors
PubMed: 23475069
DOI: 10.1007/s00018-013-1281-9