Integration of microfluidic channel on electrochemical-based nanobiosensors for monoplex and multiplex analyses: an overview

H Adam, SCB Gopinath, MKM Arshad, T Adam… - Journal of the Taiwan …, 2023 - Elsevier
Background Microfluidic devices have evolved into low-cost, simple, and powerful analytical
tool platforms. Herein, an electrochemically-based microfluidic nanobiosensor array for …

Chitin and chitosan as tools to combat COVID-19: A triple approach

M Safarzadeh, S Sadeghi, M Azizi… - International journal of …, 2021 - Elsevier
The progressive and fatal outbreak of the newly emerged coronavirus, SARS-CoV-2,
necessitates rigorous collaboration of all health care systems and researchers from all …

Analisis Bibliometrik: Tren Penelitian RME dalam Pembelajaran Matematika selama Pandemi

LM Angraini, I Muhammad - Jurnal Nasional Pendidikan …, 2023 - repository.uir.ac.id
Kegiatan pendidikan pada masa pandemi dilakukan dengan metode pembelajaran online.
Karakteristik pendekatan RME dapat digunakan dalam pembelajaran daring selama …

Virtual screening based on molecular docking of possible inhibitors of Covid-19 main protease

EM Marinho, JB de Andrade Neto, J Silva… - Microbial …, 2020 - Elsevier
Abstract Coronavirus (COVID-19) is an enveloped RNA virus that is diversely found in
humans and that has now been declared a global pandemic by the World Health …

Current plastics pollution threats due to COVID-19 and its possible mitigation techniques: a waste-to-energy conversion via Pyrolysis

TA Aragaw, BA Mekonnen - Environmental Systems Research, 2021 - Springer
Background The extensive use and production of PPE, and disposal in the COVID-19
pandemic increases the plastic wastes arise environmental threats. Roughly, 129 billion …

Mental health outcomes of ICU and non-ICU healthcare workers during the COVID-19 outbreak: a cross-sectional study

H Wozniak, L Benzakour, G Moullec, N Buetti… - Annals of Intensive …, 2021 - Springer
Background Intensive care workers are known for their stressful work environment and for a
high prevalence of mental health outcomes. The aim of this study was to evaluate the mental …

Proteomics and machine learning approaches reveal a set of prognostic markers for COVID-19 severity with drug repurposing potential

K Suvarna, D Biswas, MGJ Pai, A Acharjee… - Frontiers in …, 2021 - frontiersin.org
The pestilential pathogen SARS-CoV-2 has led to a seemingly ceaseless pandemic of
COVID-19. The healthcare sector is under a tremendous burden, thus necessitating the …

The effect of work from home on employee productivity in banking industry

SW Prasetyaningtyas, C Heryanto… - Jurnal Aplikasi …, 2021 - jurnaljam.ub.ac.id
Recent COVID-19 Pandemic has forced many institutions to adopt work from home (WFH)
practice whether they're ready or not. Conditions affecting knowledge worker productivity …

1H qNMR-Based Metabolomics Discrimination of Covid-19 Severity

BSB Correia, VG Ferreira, PMFD Piagge… - Journal of Proteome …, 2022 - ACS Publications
The coronavirus disease 2019 (Covid-19), which caused respiratory problems in many
patients worldwide, led to more than 5 million deaths by the end of 2021. Experienced …

[Retracted] IoT‐Enabled Framework for Early Detection and Prediction of COVID‐19 Suspects by Leveraging Machine Learning in Cloud

MH Mir, S Jamwal, A Mehbodniya… - Journal of healthcare …, 2022 - Wiley Online Library
COVID‐19 is the repugnant but the most searched word since its outbreak in November
2019 across the globe. The world has to battle with it until an effective solution is developed …