- Speech and Audio Processing
- Blind Source Separation Techniques
- Emotion and Mood Recognition
- Prostate Cancer Treatment and Research
- Speech Recognition and Synthesis
- Circular RNAs in diseases
- MicroRNA in disease regulation
- Cancer-related Molecular Pathways
- Thyroid Cancer Diagnosis and Treatment
- Melanoma and MAPK Pathways
- Cancer Cells and Metastasis
- Cytokine Signaling Pathways and Interactions
- Face and Expression Recognition
- Hippo pathway signaling and YAP/TAZ
- Microtubule and mitosis dynamics
- RNA modifications and cancer
- EEG and Brain-Computer Interfaces
- Estrogen and related hormone effects
Institute of Technical Education
2023
AMRI Hospitals
2021
Siksha O Anusandhan University
2021
Abstract IQGAP2, a member of the IQGAP family, functions as tumor suppressor in most cancers. Unlike IQGAP1 and IQGAP3, which function oncogenes breast cancer, role IQGAP2 is still unexplored. Here we report reduced expression was associated with lymph node positivity, lymphovascular invasion, higher age cancer patients. We found an inverse correlation levels oncogenic properties cell lines estrogen receptor (ER) independent manner. enhanced apoptosis via reactive oxygen species...
Prostate cancer is the most common form of in males and accounts for high related deaths. Therapeutic advancement prostate has not been able to reduce mortality burden cancer, which warrants further research. FRG1 affects angiogenesis cell migration Xenopus, can be a potential player tumorigenesis. In this study, we investigated role progression. Immunohistochemistry was performed determine expression patient samples. perturbation done investigate effect on proliferation, invasion, DU145,...
Abstract IQGAP2 is a member of IQGAPs scaffolding protein family. It has been reported as tumor suppressor in various cancers, well as, an oncogene some suggesting organ specific role. Need to identify therapeutic targets which function ER/PR independent way, prompted us explore role molecular mechanism breast cancer, was completely unknown. In vitro studies estrogen receptor positive cancer cell line (MCF7) showed that low expression results increased proliferation, migration and invasion...
<span lang="EN-US">This paper aims to develop efficient speech-expressive models using the adaptively tuning neuro-fuzzy inference system (ANFIS). The developed differentiate a high-arousal happiness state from low-arousal sadness benchmark Berlin (EMODB) database. proposed low-cost flexible algorithms are self-tunable and can address several vivid real-world issues such as home tutoring, banking, finance sectors, criminal investigations, psychological studies, call centers, cognitive...
This paper analyses both the static and temporal dynamics of spectral features in classifying speech emotions. Initially, different frame-level techniques such as Linear Prediction Cepstral Coefficients (LPCC), Perceptual LP coefficients (PLP), Mel-Frequency (MFCC) have been examined. Further, these are extracted using Wavelet Analysis (WA) for a better emotional portrayal. The feature sets remain high-dimensional overload recognizer with redundant features, large memory space, slower...