Determination of the Cognitive Model: Compressively Sensed Ground Truth of Cerebral Ischemia to Care

2018 ◽  
pp. 229-242
Author(s):  
Artur Przelaskowski ◽  
Ewa Sobieszczuk ◽  
Izabela Domitrz
Keyword(s):  
Cerebral Ischemia ◽  
Cognitive Model ◽  
Ground Truth

scholarly journals Weak Ground Truth Determination of Continuous Human-Rated Data

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 4594-4606
Author(s):  
Andrej Kosir ◽  
Gregor Strle ◽  
Marko Meza
Keyword(s):  
Ground Truth

scholarly journals Theoretical justification of pedagogical situations cognitive modeling

2018 ◽  
Vol 7 (2) ◽  
pp. 245-247
Author(s):  
Alsu Raufovna Kamaleeva ◽  
Svetlana Yurevna Gruzkova
Keyword(s):  
Cognitive Modeling ◽  
Cognitive Model ◽  
Cognitive Map ◽  
Educational Process ◽  
Theoretical Justification ◽  
Second Stage ◽  
The Third ◽  
Third Stage ◽  
Major Factors

The following paper deals with the application of methodology of pedagogical situations cognitive modeling, which is considered by the authors as a process consisting of six consecutive and interconnected stages. The first stage is a formulation of the purpose and the corresponding tasks. The second stage provides collecting, systematization and analysis of a pedagogical situation with the subsequent allocation of the major factors influencing development of the situation and determination of interrelation between them, i.e. creation of a cognitive map. At the third stage a focused count is created as a result of accounting of the cause and effect chains reflecting the system of interaction between the educational process subjects and allowing to form a pedagogical theory on the basis of basic person study categories: consciousness, thinking, knowledge, understanding, etc. The fourth stage assumes combination of the cognitive map and the focused count in a uniform cognitive model of the studied pedagogical situation. The fifth stage is focused on a real pedagogical situation cognitive model adequacy check i.e. on its verification. The last sixth stage allows to define possible options of a pedagogical situation development by a cognitive model, to find ways and mechanisms of a situation impact.

scholarly journals The researching of diagnostic’s systems area as the reflection-ontological basis of cognition

2020 ◽  
Vol 19 (7-8) ◽  
pp. 10-14
Author(s):  
Elena N. Pesotskaya ◽  
Vera I. Inchina ◽  
Mikhail V. Zorkin ◽  
Svetlana V. Aksenova
Keyword(s):  
Human Nature ◽  
Social Systems ◽  
Cognitive Model ◽  
Diagnostic System ◽  
Basic Component ◽  
Second Phase ◽  
Diagnostic Systems ◽  
Multi Level ◽  
Nature And Society

The concept of a diagnostic system is defined as a basic component of diagnostics, which is a multivariate knowledge of features of personality reflection. Multi-level of communications in the field of diphase procedural interaction of the formed diagnostic systems is proposed to be practically investigated on the basis of a synergistic cognitive model. In the structure of the diagnostic system itself, the phases of procedural interaction are distinguished, where the first one passes before diagnosis and outside its value-reflexive processes, forming against the background of a specific society and system of its medicine as a whole. The second phase involves the activities of a specific professional. The openness of this integrity stems from the phenomenal characteristics of the nature of social systems, the inclusion of individuals and their synergy. The significance of the parametric aspect of communication in complex intersubjective interactions, including network interactions, which influence the transformation of both human nature and society by the type of mutual determination of any nonlinear actions inherent in them initially, is shown.

Evaluation of the latest GOCE GGMs in support of regional geoid modeling over Greece

2021 ◽  
Author(s):  
Georgios S. Vergos ◽  
Ilias N. Tziavos ◽  
Dimitrios A. Natsiopoulos ◽  
Elisavet G. Mamagiannou ◽  
Eleftherios A. Pitenis
Keyword(s):  
Maximum Degree ◽  
Gravity Data ◽  
Ground Truth ◽  
Satellite Gravity ◽  
Disturbing Potential ◽  
Geopotential Models ◽  
Potential Functionals ◽  
Geoid Computation ◽  
Goce Satellite

<p>In the frame of the GeoGravGOCE project, funded by the Hellenic Foundation for Research Innovation, GOCE Satellite Gravity Gradiometry (SGG) data are to be used for regional geoid and gravity field refinement as well as for potential determination in the frame of the International Height Reference Frame (IHRF). An inherent step in the geoid computation with either stochastic or spectral methods is the reduction of the related disturbing potential functionals within the well-known Remove-Compute-Restore (RCR) procedure. In this work we evaluate the latest, Release 6 (R6), satellite only and combined Global Geopotential Models (GGMs) which rely solely on GOCE and on land gravity data. The evaluation is performed over the established network of 1542 GPS/Levelling benchmarks over Greece mainland (BMs), which have been used in the past for the evaluation of GOCE GGMs. We employ the spectral enhancement approach, during which the GOCE-based GGMs are evaluated every one degree to the maximum degree of expansion coupled by EGM2008 and high-frequency RTM effects. This synthesis resolves wavelengths corresponding to maximum degree 216,000, hence the omission error is at the few mm-level. TIM-R6, DIR-R6, GOCO06s and XGM2019e are evaluated using EGM2008 residuals to the GPS/Levelling as the ground truth. From the results achieved, the optimal combination degree of a GOCE-only GGM augmented with EGM2008 is selected to be used in the sequel as reference field for the practical determination of the gravimetric geoid over Greece.</p>

Microdialysis combined blood sampling technique for the determination of rosiglitazone and glucose in brain and blood of gerbils subjected to cerebral ischemia

2011 ◽  
Vol 54 (4) ◽  
pp. 759-764 ◽  
Author(s):  
Wayne H.-H. Sheu ◽  
Hsiu-Chun Chuang ◽  
Shiu-Min Cheng ◽  
Maw-Rong Lee ◽  
Chi-Chi Chou ◽  
...  
Keyword(s):  
Cerebral Ischemia ◽  
Sampling Technique ◽  
Blood Sampling

Immunohistochemical investigation of cerebral ischemia during recirculation

1985 ◽  
Vol 63 (6) ◽  
pp. 922-928 ◽  
Author(s):  
Toshiki Yoshimine ◽  
Kazuyoshi Morimoto ◽  
Joan M. Brengman ◽  
Henry A. Homburger ◽  
Heitaro Mogami ◽  
...  
Keyword(s):  
Creatine Kinase ◽  
Cerebral Cortex ◽  
Cerebral Ischemia ◽  
Immunohistochemical Method ◽  
Ischemic Lesion ◽  
Content Type ◽  
Creatine Kinase Bb ◽  
Ischemic Period ◽  
Temporary Occlusion

✓ Immunohistochemical methods for the determination of tubulin, creatine kinase BB-isoenzyme, and astroprotein-glial fibrillary acidic protein were used to investigate recovery of the ischemic lesion after temporary occlusion of a common carotid artery in the gerbil and the evolution of the postischemic lesion following reperfusion. One group of gerbils was followed from 15 minutes to one month after an ischemic period of 30 minutes, and another group was examined after 7 days following an ischemic period of 5 to 30 minutes. It was found that the postischemic lesion, visualized as loss of the immunohistochemical reaction for tubulin and creatine kinase BB-isoenzyme, evolved within 60 minutes after reperfusion in the hippocampus and cerebral cortex and within 3 hours in the caudoputamen and thalamus. Resolution of the preexisting ischemic lesion was possible only after an ischemic period of less than 10 minutes in the cerebral cortex and caudoputamen and less than 15 minutes in the thalamus. In the CA1-CA2 region of the hippocampus, the ischemic lesion already existed after an ischemic period of 5 minutes and was mostly irreversible. The immunohistochemical method of testing for different cellular and subcellular components was very useful for investigation of cerebral ischemia and may also be advantageous for investigation of other pathophysiological conditions of the nervous system.

scholarly journals Improved Classification of Fetal Abnormalities using Automated ABC ANFIS Classifier

2019 ◽  
Vol 8 (6S2) ◽  
pp. 833-839
Keyword(s):  
Ground Truth ◽  
First Trimester ◽  
Second Stage ◽  
Bee Colony ◽  
First Trimester Pregnancy ◽  
Last Stage ◽  
Anfis Classifier ◽  
Test Picture

Early determination of fetal irregularities can be performed utilizing a legitimate screening technique. The screening may at some point look as a thorough one for therapeutic specialists. Thus, mechanization with manual investigation gives better help to endoscopist in discovering the strange fetal pictures. In this paper, we consider a robotized order of fetal irregularities amid first trimester pregnancy period utilizing Artificial Bee Colony (ABC) and Hybrid ANFIS. At first, the picture is pre-prepared to expel the clamor and other appearance exhibit in crude picture dataset. In the second stage, an ABC calculation is utilized to section the picture into marks in light of district-based division. In the last stage, the picture names are grouped utilizing half and half ANFIS classifier, which utilizes marks from the past stage as its info. This robotized grouping model orders the phase of variation from the norm utilizing ground truth esteem. The proposed characterization display is tried with Substantial fetal test picture datasets and it is contrasted with existing calculations with demonstrating its adequacy in identifying the fetal anomalies.

scholarly journals Comparison of a Deep Learning Algorithm vs. Humans for Vertebral Heart Scale Measurements in Cats and Dogs Shows a High Degree of Agreement Among Readers

2021 ◽  
Vol 8 ◽  
Author(s):  
Emilie Boissady ◽  
Alois De La Comble ◽  
Xiajuan Zhu ◽  
Jonathan Abbott ◽  
Hespel Adrien-Maxence
Keyword(s):  
Learning Algorithm ◽  
Intraclass Correlation ◽  
Ground Truth ◽  
Reference Points ◽  
Deep Learning Algorithm ◽  
High Degree ◽  
Manual Calculation ◽  
Original Approach ◽  
Cardiac Enlargement

Heart disease is a leading cause of death among cats and dogs. Vertebral heart scale (VHS) is one tool to quantify radiographic cardiac enlargement and to predict the occurrence of congestive heart failure. The aim of this study was to evaluate the performance of artificial intelligence (AI) performing VHS measurements when compared with two board-certified specialists. Ground truth consisted of the average of constituent VHS measurements performed by board-certified specialists. Thirty canine and 30 feline thoracic lateral radiographs were evaluated by each operator, using two different methods for determination of the cardiac short axis on dogs' radiographs: the original approach published by Buchanan and the modified approach proposed by the EPIC trial authors, and only Buchanan's method for cats' radiographs. Overall, the VHS calculated by the AI, radiologist, and cardiologist had a high degree of agreement in both canine and feline patients (intraclass correlation coefficient (ICC) = 0.998). In canine patients, when comparing methods used to calculate VHS by specialists, there was also a high degree of agreement (ICC = 0.999). When evaluating specifically the results of the AI VHS vs. the two specialists' readings, the agreement was excellent for both canine (ICC = 0.998) and feline radiographs (ICC = 0.998). Performance of AI trained to locate VHS reference points agreed with manual calculation by specialists in both cats and dogs. Such a computer-aided technique might be an important asset for veterinarians in general practice to limit interobserver variability and obtain more comparable VHS reading over time.

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