A5082860420- Renal cell carcinoma treatment
- Polyamine Metabolism and Applications
- Multimedia Learning Systems
- Genetic and Kidney Cyst Diseases
- Renal and related cancers
- Consumer Behavior and Marketing Influence
- Image and Signal Denoising Methods
- Image Processing Techniques and Applications
- Neural Networks and Applications
- Data Mining and Machine Learning Applications
- Tuberous Sclerosis Complex Research
- Poxvirus research and outbreaks
- Herpesvirus Infections and Treatments
- Optical Coherence Tomography Applications
- Advanced Image Processing Techniques
- Fuzzy Logic and Control Systems
- Surface Roughness and Optical Measurements
- Neutropenia and Cancer Infections
- Bacillus and Francisella bacterial research
- Fungal Infections and Studies
- Antifungal resistance and susceptibility
- Control Systems and Identification
AID Atlanta
2022
University Physicians
2022
Center for Surveillance, Epidemiology, and Laboratory Services
2022
Texas A&M University
2011
Texas A&M University – Texarkana
2010-2011
Response TeamMonkeypox is a rare, sometimes life-threatening zoonotic infection that occurs in west and central Africa.It caused by Monkeypox virus, an orthopoxvirus similar to Variola virus (the causative agent of smallpox) Vaccinia live component vaccines) can spread humans.After 39 years without detection human disease Nigeria, outbreak involving 118 confirmed cases was identified during 2017-2018 (1); sporadic continue occur.During September 2018-May 2021, six unrelated persons traveling...
In this paper, we consider a problem of blurred image recognition using multilayer neural network based on multi-valued neurons (MLMVN). Recognition images is challenging because it difficult or even impossible to find any relevant space features for solving in the spatial domain. The first crucial point our approach use frequency domain as feature space. Since Fourier phase spectrum remains almost unaffected, at least low part, possible phases corresponding lowest frequencies recognition....
In this paper, we consider the problem of blurred texture classification using a multilayer neural network based on multi-valued neurons (MLMVN). We use frequency domain as feature space. The low part Fourier phase spectrum image remains almost unaffected by blur. This means that phases corresponding to lowest frequencies can be used features for classification. MLMVN is most suitable machine learning tool solving problem, since it uses inputs. whose inputs and output are located unit circle...
In this paper, we further develop a complex-valued neuron paradigm. It is shown how single multi-valued with periodic activation function may learn multiple-valued nonlinearly separable problems. One of the classical problems - mod k addition n variables considered in detail. that to be able problem using neuron, it necessary use and learning algorithm based on error-correction rule adapted function.
Candidemia is associated with morbidity and mortality in cancer patients. We analyzed adherence to the 2016 Infectious Diseases Society of America (IDSA) candidiasis guidelines reasons for guideline nonadherence. also investigated whether matrix-assisted laser desorption/ionization-time flight (MALDI-TOF) improved time effective antifungal therapy compared historical data (median, 43.2 hours).Cancer patients candidemia between 1/1/17 12/31/19 were included. Adherence 7 individual IDSA...
In this paper, we solve the edge enhancement problem using an intelligent approach. We use a multilayer neural network based on multi-valued neurons (MLMVN) as enhancer. The of classical feedforward (MLF) was already considered by some authors. Since MLMVN significantly outperforms MLF in terms learning speed, number parameters employed, and generalization capability, it is very attractive to apply for solving problem. main result which presented proven ability enhance edges corresponding...
<p>PDF file - 201K</p>
<div>Abstract<p>mTOR complex 1 (mTORC1) is implicated in cell growth control and extensively regulated. We previously reported that response to hypoxia, mTORC1 inhibited by the protein regulated development DNA damage (REDD1). <i>REDD1</i> upregulated hypoxia-inducible factor (HIF)-1, forced expression sufficient inhibit mTORC1. REDD1-induced inhibition dependent on a formed tuberous sclerosis (TSC)1 2 (TSC2) proteins. In clear-cell renal carcinoma (ccRCC), von...
<p>PDF file - 201K</p>
<div>Abstract<p>mTOR complex 1 (mTORC1) is implicated in cell growth control and extensively regulated. We previously reported that response to hypoxia, mTORC1 inhibited by the protein regulated development DNA damage (REDD1). <i>REDD1</i> upregulated hypoxia-inducible factor (HIF)-1, forced expression sufficient inhibit mTORC1. REDD1-induced inhibition dependent on a formed tuberous sclerosis (TSC)1 2 (TSC2) proteins. In clear-cell renal carcinoma (ccRCC), von...