Natural dietary and medicinal plants with anti-obesity therapeutics activities for treatment and prevention of obesity during lock down and in post-COVID-19 era

W Sun, MH Shahrajabian, Q Cheng - Applied Sciences, 2021 - mdpi.com
Overweight and obesity have become global epidemics, especially during the lockdown due
to the COVID-19 pandemic. The potential of medicinal plants as a better and safe option in …

Treasuring the computational approach in medicinal plant research

H Singh, N Bharadvaja - Progress in Biophysics and Molecular Biology, 2021 - Elsevier
Medicinal plants serve as a valuable source of secondary metabolites since time
immemorial. Computational Research in 21st century is giving more attention to medicinal …

Influence of number of membership functions on prediction of membrane systems using adaptive network based fuzzy inference system (ANFIS)

M Babanezhad, A Masoumian, AT Nakhjiri… - Scientific Reports, 2020 - nature.com
In membrane separation technologies, membrane modules are used to separate chemical
components. In membrane technology, understanding the behavior of fluids inside …

[HTML][HTML] Examining energy use efficiency and conducting an environmental life cycle assessment through the application of artificial intelligence: A case study on the …

J Mirzaei, MG Parashkoohi, DM Zamani, H Afshari - Results in Engineering, 2023 - Elsevier
This study aims to examine the energy use efficiency and conduct an environmental life
cycle assessment (LCA) of the production of cumin and fennel using artificial intelligence …

Prediction of multiphase flow pattern inside a 3D bubble column reactor using a combination of CFD and ANFIS

M Pourtousi, M Zeinali, P Ganesan, JN Sahu - Rsc Advances, 2015 - pubs.rsc.org
This work presents a combination of Computational Fluid Dynamics (CFD) and Adaptive
Network-based Fuzzy Inference System (ANFIS) developed for flow characterization inside a …

Stackelberg game based relay selection for physical layer security and energy efficiency enhancement in cognitive radio networks

H Fang, L Xu, KKR Choo - Applied Mathematics and Computation, 2017 - Elsevier
In cognitive radio networks, physical layer security is a promising secure wireless
communication solution against eavesdropping attacks. In this paper, we study the problems …

Exploring alternative approaches to precision medicine through genomics and artificial intelligence–a systematic review

H Mumtaz, M Saqib, S Jabeen, M Muneeb… - Frontiers in …, 2023 - frontiersin.org
The core idea behind precision medicine is to pinpoint the subpopulations that differ from
one another in terms of disease risk, drug responsiveness, and treatment outcomes due to …

B2FSE framework for high dimensional imbalanced data: A case study for drug toxicity prediction

N Hooda, S Bawa, PS Rana - Neurocomputing, 2018 - Elsevier
The life of people is imperiled by umpteen chemicals unwittingly through the diverse sources
like food, cleaning products, medicines, etc. At times, these chemicals can be toxic …

Liquid temperature prediction in bubbly flow using ant colony optimization algorithm in the fuzzy inference system as a trainer

M Babanezhad, I Behroyan, AT Nakhjiri, A Marjani… - Scientific Reports, 2020 - nature.com
In the current research paper a novel hybrid model combining first-principle and artificial
intelligence (AI) was developed for simulation of a chemical reactor. We study a 2 …

Improvement of physiological parameters of rats subjected to hypercaloric diet, with the use of Pereskia grandifolia (Cactaceae) leaf flour

MEF de Almeida, AA Simão, AD Corrêa… - Obesity Research & …, 2016 - Elsevier
Objective The aim of the present study was to investigate the anti-obesity effects of Pereskia
grandifolia leaf flour on rats fed a hypercaloric diet. Methods After a hypercaloric diet for 10 …