Fatty acids and cholesterol are important substances for the living matter, especially for the bi... more Fatty acids and cholesterol are important substances for the living matter, especially for the biological membrane [1]. Since the liquid crystal state of these substances can give information on some membrane mechanism [2], their answer to some external stimuli within the mesomorphism interval has been widely studied. The possibility of inducing a non-linearity in such systems could lead to a
2003 International Semiconductor Conference. CAS 2003 Proceedings (IEEE Cat. No.03TH8676), 2003
AlN thin films with thickness in nanometer range were prepared by pulsed laser deposition techniq... more AlN thin films with thickness in nanometer range were prepared by pulsed laser deposition techniques and by reactive sputtering techniques. Investigations by XRD, SEM, AFM, and piezoelectric measurement were performed on the obtained AlN thin films. A comparison between some of the properties of the two types of films is presented.
This paper introduces an AI model designed for the diagnosis and monitoring of the SARS-CoV-2 vir... more This paper introduces an AI model designed for the diagnosis and monitoring of the SARS-CoV-2 virus. The present artificial intelligence (AI) model founded on the machine learning concept was created for the identification/recognition, keeping under observation, and prediction of a patient’s clinical evaluation infected with the CoV-2 virus. The deep learning (DL)-initiated process (an AI subset) is punctually prepared to identify patterns and provide automated information to healthcare professionals. The AI algorithm is based on the fractal analysis of CT chest images, which is a practical guide to detecting the virus and establishing the degree of lung infection. CT pulmonary images, delivered by a free public source, were utilized for developing correct AI algorithms with the aim of COVID-19 virus observation/recognition, having access to coherent medical data, or not. The box-counting procedure was used with a predilection to determine the fractal parameters, the value of the fr...
University Politehnica of Bucharest Scientific Bulletin-series A-applied Mathematics and Physics, 2021
It is shown that, in the framework of Scale Relativity Theory, correlations of type informational... more It is shown that, in the framework of Scale Relativity Theory, correlations of type informational entropy/cross entropy - probability density, in the description of the dynamics of any complex system, can be perceived as interactions. Explaining these interactions for a Gaussian - type probability density, implies both attractive forces (of Newtonian type) and repulsive forces (oscillatory harmonic type)
This study describes novel solid substances founded on chitosan and TEGylated phenothiazine that ... more This study describes novel solid substances founded on chitosan and TEGylated phenothiazine that have a high ability for hydrargyrum recovery from watery liquid solutions. These compounds were taken into account, consisting of two distinct entity interactions inside of the classic fractal dynamics conjecture of an “interface”. They were assimilated through fractal-type mathematical objects and judged as such. The bi-stable behavior of two fractally connected objects was demonstrated both numerically and graphically. The fractal character was demonstrated by the fractal analysis made using SEM images of the xerogel compounds with interstitial fixed hydrargyrum. For the first time, SEM helped to verify such samples from two distinct bodies, with the multifractal parameter values being listed in continuation. The fractal dimension of the rectangular mask is D1 = 1.604 ± 0.2798, the fractal dimension of the square mask is D2 = 1.596 ± 0.0460, and the lacunarity is 0.0402.
Background: The study investigated whether three deep-learning models, namely, the CNN_model (tra... more Background: The study investigated whether three deep-learning models, namely, the CNN_model (trained from scratch), the TL_model (transfer learning), and the FT_model (fine-tuning), could predict the early response of brain metastases (BM) to radiosurgery using a minimal pre-processing of the MRI images. The dataset consisted of 19 BM patients who underwent stereotactic-radiosurgery (SRS) within 3 months. The images used included axial fluid-attenuated inversion recovery (FLAIR) sequences and high-resolution contrast-enhanced T1-weighted (CE T1w) sequences from the tumor center. The patients were classified as responders (complete or partial response) or non-responders (stable or progressive disease). Methods: A total of 2320 images from the regression class and 874 from the progression class were randomly assigned to training, testing, and validation groups. The DL models were trained using the training-group images and labels, and the validation dataset was used to select the bes...
The present article describes novel massive materials (in the solid phase) based on TEGylated phe... more The present article describes novel massive materials (in the solid phase) based on TEGylated phenothiazine and chitosan that possess great capability to recover mercury ions from constituent aqueous solutions. These were produced by chitosan hydrogelation accompanied by formyl subsidiary item of TEGylated phenothiazine, attended by lyophilization. The delineation and structure description of the obtained material or supramolecular assembly were realized by FTIR (Fourier transform infrared) spectroscopy, X-ray diffraction, and POM (Polarized Light Optical Microscopy). The morphology of their texture was kept under observation by SEM (Scanning Electron Microscopy). The obtained SEM images were evaluated by fractal analysis. The fractal parameters of interest were calculated, including the fractal dimension and lacunarity.
We use the hydrodynamic formulation of Scale Relativity Theory to analyze the TDGL equation. As a... more We use the hydrodynamic formulation of Scale Relativity Theory to analyze the TDGL equation. As a result, London equations come naturally from the system, when equating to zero the real velocity, the imaginary one turns real, the superconducting fluid act as a subquantum medium energy accumulator, the vector potential, the real and the imaginary velocity are all written in terms
Fatty acids and cholesterol are important substances for the living matter, especially for the bi... more Fatty acids and cholesterol are important substances for the living matter, especially for the biological membrane [1]. Since the liquid crystal state of these substances can give information on some membrane mechanism [2], their answer to some external stimuli within the mesomorphism interval has been widely studied. The possibility of inducing a non-linearity in such systems could lead to a
2003 International Semiconductor Conference. CAS 2003 Proceedings (IEEE Cat. No.03TH8676), 2003
AlN thin films with thickness in nanometer range were prepared by pulsed laser deposition techniq... more AlN thin films with thickness in nanometer range were prepared by pulsed laser deposition techniques and by reactive sputtering techniques. Investigations by XRD, SEM, AFM, and piezoelectric measurement were performed on the obtained AlN thin films. A comparison between some of the properties of the two types of films is presented.
This paper introduces an AI model designed for the diagnosis and monitoring of the SARS-CoV-2 vir... more This paper introduces an AI model designed for the diagnosis and monitoring of the SARS-CoV-2 virus. The present artificial intelligence (AI) model founded on the machine learning concept was created for the identification/recognition, keeping under observation, and prediction of a patient’s clinical evaluation infected with the CoV-2 virus. The deep learning (DL)-initiated process (an AI subset) is punctually prepared to identify patterns and provide automated information to healthcare professionals. The AI algorithm is based on the fractal analysis of CT chest images, which is a practical guide to detecting the virus and establishing the degree of lung infection. CT pulmonary images, delivered by a free public source, were utilized for developing correct AI algorithms with the aim of COVID-19 virus observation/recognition, having access to coherent medical data, or not. The box-counting procedure was used with a predilection to determine the fractal parameters, the value of the fr...
University Politehnica of Bucharest Scientific Bulletin-series A-applied Mathematics and Physics, 2021
It is shown that, in the framework of Scale Relativity Theory, correlations of type informational... more It is shown that, in the framework of Scale Relativity Theory, correlations of type informational entropy/cross entropy - probability density, in the description of the dynamics of any complex system, can be perceived as interactions. Explaining these interactions for a Gaussian - type probability density, implies both attractive forces (of Newtonian type) and repulsive forces (oscillatory harmonic type)
This study describes novel solid substances founded on chitosan and TEGylated phenothiazine that ... more This study describes novel solid substances founded on chitosan and TEGylated phenothiazine that have a high ability for hydrargyrum recovery from watery liquid solutions. These compounds were taken into account, consisting of two distinct entity interactions inside of the classic fractal dynamics conjecture of an “interface”. They were assimilated through fractal-type mathematical objects and judged as such. The bi-stable behavior of two fractally connected objects was demonstrated both numerically and graphically. The fractal character was demonstrated by the fractal analysis made using SEM images of the xerogel compounds with interstitial fixed hydrargyrum. For the first time, SEM helped to verify such samples from two distinct bodies, with the multifractal parameter values being listed in continuation. The fractal dimension of the rectangular mask is D1 = 1.604 ± 0.2798, the fractal dimension of the square mask is D2 = 1.596 ± 0.0460, and the lacunarity is 0.0402.
Background: The study investigated whether three deep-learning models, namely, the CNN_model (tra... more Background: The study investigated whether three deep-learning models, namely, the CNN_model (trained from scratch), the TL_model (transfer learning), and the FT_model (fine-tuning), could predict the early response of brain metastases (BM) to radiosurgery using a minimal pre-processing of the MRI images. The dataset consisted of 19 BM patients who underwent stereotactic-radiosurgery (SRS) within 3 months. The images used included axial fluid-attenuated inversion recovery (FLAIR) sequences and high-resolution contrast-enhanced T1-weighted (CE T1w) sequences from the tumor center. The patients were classified as responders (complete or partial response) or non-responders (stable or progressive disease). Methods: A total of 2320 images from the regression class and 874 from the progression class were randomly assigned to training, testing, and validation groups. The DL models were trained using the training-group images and labels, and the validation dataset was used to select the bes...
The present article describes novel massive materials (in the solid phase) based on TEGylated phe... more The present article describes novel massive materials (in the solid phase) based on TEGylated phenothiazine and chitosan that possess great capability to recover mercury ions from constituent aqueous solutions. These were produced by chitosan hydrogelation accompanied by formyl subsidiary item of TEGylated phenothiazine, attended by lyophilization. The delineation and structure description of the obtained material or supramolecular assembly were realized by FTIR (Fourier transform infrared) spectroscopy, X-ray diffraction, and POM (Polarized Light Optical Microscopy). The morphology of their texture was kept under observation by SEM (Scanning Electron Microscopy). The obtained SEM images were evaluated by fractal analysis. The fractal parameters of interest were calculated, including the fractal dimension and lacunarity.
We use the hydrodynamic formulation of Scale Relativity Theory to analyze the TDGL equation. As a... more We use the hydrodynamic formulation of Scale Relativity Theory to analyze the TDGL equation. As a result, London equations come naturally from the system, when equating to zero the real velocity, the imaginary one turns real, the superconducting fluid act as a subquantum medium energy accumulator, the vector potential, the real and the imaginary velocity are all written in terms
Uploads
Papers