A5046844778- Mental Health via Writing
- Computational Drug Discovery Methods
- Machine Learning in Bioinformatics
- Digital Mental Health Interventions
- Muscle metabolism and nutrition
- Misinformation and Its Impacts
- Exercise and Physiological Responses
- Metal complexes synthesis and properties
- Advanced biosensing and bioanalysis techniques
- Machine Learning in Healthcare
- Mental Health Research Topics
- MicroRNA in disease regulation
- Graphene and Nanomaterials Applications
- Nanoparticles: synthesis and applications
- Vitamin D Research Studies
- Coffee research and impacts
- Bioinformatics and Genomic Networks
- vaccines and immunoinformatics approaches
- Consumer Attitudes and Food Labeling
- COVID-19 diagnosis using AI
- Non-Invasive Vital Sign Monitoring
- Protein Interaction Studies and Fluorescence Analysis
- Biosensors and Analytical Detection
- RNA Interference and Gene Delivery
- Emotion and Mood Recognition
University of Saskatchewan
2019-2024
Tabriz University of Medical Sciences
2014-2016
University of Zanjan
2012-2014
Islamic Azad University of Tabriz
2011
For the first time, PG interaction with HSA using fluorescence quenching method, circular dichroism spectroscopy and molecular modeling was investigated.
<sec> <title>BACKGROUND</title> Dementia is a significant global health concern. However, public awareness and education about dementia-related stigma remain limited, especially on social media. Examining media critical because it impacts how the perceives people living with dementia. By understanding media, we can develop educational strategies to target false stereotypes, beliefs, misinformation improve quality of life </sec> <title>OBJECTIVE</title> This study examines X platform...
Abstract Motivation Evidence has shown that microRNAs, one type of small biomolecule, regulate the expression level genes and play an important role in development or treatment diseases. Drugs, as chemical compounds, can interact with microRNAs change their functions. The experimental identification microRNA–drug interactions is time-consuming expensive. Therefore, it appealing to develop effective computational approaches for predicting interactions. Results In this study, a matrix...
Diatoms are single cell eukaryotic microalgae, which present in nearly every water habitat make them ideal tools for a wide range of applications such as oil explora-tion, forensic examination, environmental indication, biosilica pattern generation, toxicity testing and eutrophication aqueous ecosystems.Essential information on diatoms were reviewed discussed towards impacts biosynthesis bioremediation.In this review, we the recent progress century application waste degradation, synthesis...
Prediction of drug-target interactions (DTIs) plays a significant role in drug development and discovery. Although this task requires large investment terms time cost, especially when it is performed experimentally, the results are not necessarily significant. Computational DTI prediction shortcut to reduce risks experimental methods. In study, we propose an effective approach nonnegative matrix tri-factorization, referred as NMTF-DTI, predict interaction scores between drugs targets....
Carbon nanotube s are made up of carbon atoms arranged in a series condensed benzene rings and wrapped into tubular form. They represent new allotrope invented from fullerene family, which can be described as rolled graphite sheets held together by van der Waals bonds. These materials due to some qualities such high specific surface area, unique electrical electronical properties used many applications catalyst base, polymers mechanical strengthening, composites, devices production drug...
Background During the pandemic, patients with dementia were identified as a vulnerable population. X (formerly Twitter) became an important source of information for people seeking updates on COVID-19, and, therefore, identifying posts tweets) relevant to can be support and their caregivers. However, mining coding daunting due sheer volume high percentage irrelevant posts. Objective The objective this study was automate identification COVID-19 using natural language processing machine...
Influence of Time and Temperature on Stability Added Vitamin D3 During Cooking Procedure Fortified Vegetable Oils
Depression and momentary depressive feelings are major public health concerns imposing a substantial burden on both individuals society. Early detection of is highly beneficial in reducing this improving the quality life for affected individuals. To end, abundance data exemplified by X (formerly Twitter) presents an invaluable resource discerning insights into individuals' mental states enabling timely these transitory feelings.
Introduction: Drug-drug interactions (DDIs) are the main causes of adverse drug reactions and nature functional molecular complexity drugs behavior in human body make DDIs hard to prevent threat. With aid new technologies derived from mathematical computational science, DDI problems can be addressed with a minimum cost effort. The Market Basket Analysis (MBA) is known as powerful method for identification co-occurrence matters discovery patterns frequency elements involved. Methods: In this...
Computational drug repositioning aims to identify potential applications of existing drugs for the treatment diseases which they were not designed. This approach can considerably accelerate traditional discovery process by decreasing required time and costs development. Tensor decomposition enables us integrate multiple drug- disease-related data boost performance prediction. In this study, a nonnegative tensor repositioning, NTD-DR, is proposed. order capture hidden information in...
Depression has profound personal, societal, and economic impacts. Leveraging advances in technology can help identify predictors of depression. In this study, we compared seven machine learning (ML) algorithms to depression using publicly available datasets from standard health surveys. We obtained data the National Health Nutrition Examination Survey (NHANES) 2017-2020, including medical, mental, demographic, lifestyle information 8965 individuals aged 18 80 years. Our study identified...
Understanding advocacy strategies is essential to improving dementia awareness, reducing stigma, supporting cognitive health promotion, and influencing policy support people living with dementia. However, there a dearth of evidence-based research on used awareness.
Vigorous exercise stress might be leading cause of immune system disorders and appearance acute chronic inflammation in human body. Caffeine supplementation prior to can effective on body response. This study aimed evaluate the effect short-term caffeine response index male athletes after an exhaustive aerobic exercise. Materials methods : In a double-blind 24 (endurance runner triathlon) randomly divided (CAF) Placebo (CON) groups. One hour main treadmill test (Bruce test) CAF group...
Background: During the pandemic, dementia patients were identified as a vulnerable population. Twitter became an important source of information for people seeking updates on COVID-19, and therefore, identifying tweets relevant to can be support their caregivers. However, mining coding daunting due sheer volume high percentage irrelevant tweets.Methods: We employed combination natural language processing machine learning (ML) algorithms with manually annotated identify COVID-19. utilized...