Simultaneous occurrence of idiopathic trachyonychia in dizygotic twins

2021 ◽  
Author(s):  
Lorin A. Bibb ◽  
Mary Wu Chang
Keyword(s):  
Simultaneous Occurrence ◽  
Dizygotic Twins

Simultaneous occurrence of Goodpasture's syndrome and follicular mucinosis

1977 ◽  
Vol 113 (8) ◽  
pp. 1129b-1129
Author(s):  
F. J. Jonelis
Keyword(s):  
Simultaneous Occurrence ◽  
Goodpasture's Syndrome ◽  
Goodpasture’S Syndrome

Simultaneous Occurrence of Human Antibodies Directed against Fibrinogen, Thrombin, and Factor V Following Exposure to Bovine Thrombin: Effects on Blood Coagulation, Protein C Activation and Platelet Function

1997 ◽  
Vol 77 (02) ◽  
pp. 343-349 ◽  
Author(s):  
Vibhuti D Chouhan ◽  
Raul A De La Cadena ◽  
Chandrasekaran Nagaswami ◽  
John W Weisel ◽  
Mehdi Kajani ◽  
...  
Keyword(s):  
Protein C ◽  
Simultaneous Occurrence ◽  
Factor V ◽  
Bovine Thrombin ◽  
Plasma Factor ◽  
Coagulation Tests ◽  
Coagulation Protein ◽  
Severe Epistaxis ◽  
Clotting Protein

SummaryWe describe a patient with severe epistaxis, prolonged coagulation tests and decreased plasma factor V following exposure to bovine topical thrombin. Patient IgG, but not normal IgG, showed binding to immobilized thrombin (bovine > human) and fibrinogen, and to factor V by Western blotting; the binding to thrombin was inhibited by hirudin fragment 54-65. Electron microscopy of rotary shadowed preparations showed complexes with IgG molecules attached near the ends of trinodular fibrinogen molecules. Patient IgG inhibited procoagulant, anticoagulant and cell-stimulating functions of thrombin demonstrated by inhibition of fibrinogen clotting, protein C activation and platelet aggregation; thrombin hydrolysis of S-2238 was not inhibited. The results suggest that the antibody is targeted against anion-binding exosite and not catalytic site of thrombin. Antifibrinogen antibodies have not been reported in patients exposed to bovine thrombin. There is a pressing need to re-evaluate the role of bovine thrombin as a therapeutic agent.

ASSESSMENT OF STATISTICAL SIGNIFICANCE OF HISTORIC DANUBE FLOODS

2020 ◽  
Author(s):  
Stevan Prohaska ◽  
◽  
Aleksandra Ilić ◽  
Pavla Pekarova ◽  
◽  
...  
Keyword(s):  
Middle Ages ◽  
Linear Trend ◽  
Statistical Significance ◽  
Danube River ◽  
Exceedance Probability ◽  
Simultaneous Occurrence ◽  
Flood Wave ◽  
Probability Of Occurrence ◽  
Comprehensive Method ◽  
Flood Hydrograph

Data on historic floods along the Danube River exist since the year 1012. In the Middle Ages, floods were estimated based on historical documents, including original handwritten notes, newspaper articles, chronicles, formal letters, books, maps and photographs. From 1500 until the beginning of organized water regime observations, floods were hydraulically reconstructed based on water marks on old buildings in cities along the Danube (Passau, Melk, Emmersdorf an der Donau, Spilz, Schonbuhen and Bratislava). The paper presents a procedure for assessing the statistical significance of registered historic floods using a comprehensive method for defining theoretical flood hydrographs at hydrological stations. The approach is based on correlation analysis of two basic flood hydrograph parameters – maximum hydrograph ordinate (peak) and flood wave volume. The PROIL model is used to define the probability of simultaneous occurrence of these parameters. It defines the exceedance probability of two random variables, in the specific case two hydrograph parameters of the form: P{Qmax more equal to qmax,p)∩(Wmax more equal to wmax,p)} = P (1) where: Qmax – maximum hydrograph ordinate (peak); qmax,p – maximum discharge of the probability of occurrence p; Wmax – maximum hydrograph volume; wmax,p – maximum flood wave volume of the probability of occurrence p; P – exceedance probability. Spatial positions of the lines of exceedance of two flood hydrograph parameters and the empirical points of the corresponding parameters of the considered historic flood in the correlation field Qmax - Wmax, allow direct assessment of the exceedance probability of a historic flood, or its statistical significance. The proposed procedure was applied in practice to assess the statistical significance of the biggest floods registered along the Danube in the sector from its mouth to the Djerdap 1 Dam. The linear trend in the time-series of maximum annual flows at a representative hydrological station and the frequency of historic floods in the considered sector of the Danube are discussed at the end of the paper.

PERSONALITY FACTORS IN MONOZYGOTIC AND DIZYGOTIC TWINS: A COMPARATIVE STUDY

1992 ◽  
Vol 71 (8) ◽  
pp. 1115
Author(s):  
D. DE LEO
Keyword(s):  
Comparative Study ◽  
Personality Factors ◽  
Dizygotic Twins

Simultaneous Occurrence of Ankylosis of the Cricoarytenoid Joints with Dyspnoe and L.E.-Syndrome in Rheumatoid Arthritis

1962 ◽  
Vol 8 (1) ◽  
pp. 255-257 ◽  
Author(s):  
Leif B. Sourander ◽  
Kari Pulkkinen
Keyword(s):  
Rheumatoid Arthritis ◽  
Simultaneous Occurrence

A new method to predict anomaly in brain network based on graph deep learning

2020 ◽  
Vol 31 (6) ◽  
pp. 681-689
Author(s):  
Jalal Mirakhorli ◽  
Hamidreza Amindavar ◽  
Mojgan Mirakhorli
Keyword(s):  
Deep Learning ◽  
Large Scale ◽  
Brain Plasticity ◽  
Brain Network ◽  
High Order ◽  
Brain Diseases ◽  
Simultaneous Occurrence ◽  
Generative Adversarial Network ◽  
The Brain ◽  
Brain Connections

AbstractFunctional magnetic resonance imaging a neuroimaging technique which is used in brain disorders and dysfunction studies, has been improved in recent years by mapping the topology of the brain connections, named connectopic mapping. Based on the fact that healthy and unhealthy brain regions and functions differ slightly, studying the complex topology of the functional and structural networks in the human brain is too complicated considering the growth of evaluation measures. One of the applications of irregular graph deep learning is to analyze the human cognitive functions related to the gene expression and related distributed spatial patterns. Since a variety of brain solutions can be dynamically held in the neuronal networks of the brain with different activity patterns and functional connectivity, both node-centric and graph-centric tasks are involved in this application. In this study, we used an individual generative model and high order graph analysis for the region of interest recognition areas of the brain with abnormal connection during performing certain tasks and resting-state or decompose irregular observations. Accordingly, a high order framework of Variational Graph Autoencoder with a Gaussian distributer was proposed in the paper to analyze the functional data in brain imaging studies in which Generative Adversarial Network is employed for optimizing the latent space in the process of learning strong non-rigid graphs among large scale data. Furthermore, the possible modes of correlations were distinguished in abnormal brain connections. Our goal was to find the degree of correlation between the affected regions and their simultaneous occurrence over time. We can take advantage of this to diagnose brain diseases or show the ability of the nervous system to modify brain topology at all angles and brain plasticity according to input stimuli. In this study, we particularly focused on Alzheimer’s disease.

Evidence for simultaneous occurrence of periodic and single dark band MSTIDs over geomagnetic low-mid latitude transition region

2021 ◽  
Vol 215 ◽  
pp. 105588 ◽  
Author(s):  
R. Rathi ◽  
V. Yadav ◽  
S. Mondal ◽  
S. Sarkhel ◽  
M. V. Sunil Krishna ◽  
...  
Keyword(s):  
Transition Region ◽  
Dark Band ◽  
Simultaneous Occurrence

scholarly journals SIMULTANEOUS OCCURRENCE OF SIMPLE AND MALIGNANT TUMORS IN THE ESOPHAGUS

1954 ◽  
Vol 28 (1) ◽  
pp. 4-10 ◽  
Author(s):  
J.G. Callanan
Keyword(s):  
Malignant Tumors ◽  
Simultaneous Occurrence
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