Dr Md Awal

Prof. Dr Md Awal

Bangladesh Agricultural University, Mymensingh, Bangladesh
orcid

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 March 2021 in Environment, Development and Sustainability
Verified
Journal Article
Closed access
PDF file
STS. S. Tabriz
S. S. Tabriz
MKMohammad Abdul Kader
Mohammad Abdul Kader
MRM. Rokonuzzaman
M. Rokonuzzaman
MHM. S. Hossen
M. S. Hossen
Dr Md AwalDr Md Awal
Dr Md Awal

1 February 2011 in Revista Brasileira de Farmacognosia
Verified
Journal Article
Open access
MAMd Ashraful Alam
Md Ashraful Alam
NSNusrat Subhan
Nusrat Subhan
SCSadia Afreen Chowdhury
Sadia Afreen Chowdhury
Dr Md AwalDr Md Awal
Dr Md Awal
MMMahbub Mostofa
Mahbub Mostofa
Satyajit SarkerSatyajit Sarker
Satyajit Sarker
The hydroethanolic extract of the flowering tops of Anthocephalus cadamba (Roxb.) Miq., Rubiaceae, a Bangladeshi medicinal plant, was studied for its potential hypoglycemic effect and antioxidant property in alloxan-induced diabetic rats. The extract induced significant reduction in serum glucose, and transaminases, e.g. aspartate transaminase (AST), alanine transaminase (ALT) and alkaline phosphatases (ALP), activities. Significant changes in the thiobarbituric acid reactive substances (TBARS), peroxidase and catalase levels during the experimental period were also observed. The results established that the hydroethanolic extract of the flowering tops of A. cadamba possesses hypoglycemic property and is able to protect liver and brain from oxidative damages caused by diabetes

4 July 2025 in Smart Agricultural Technology
Verified
Journal Article
Open access
Dr Md AwalDr Md Awal
Dr Md Awal
APAditi Saha Pio
Aditi Saha Pio
MMMushfaka Jannat Mim
Mushfaka Jannat Mim
PPPronab Kumar Paul Partha
Pronab Kumar Paul Partha
AKAbdullah Al Kafi
Abdullah Al Kafi
SFShareen Farha
Shareen Farha

21 February 2024 in Smart Agricultural Technology
Verified
Journal Article
Open access
Dr Md AwalDr Md Awal
Dr Md Awal
PPPronab Kumar Paul Partha
Pronab Kumar Paul Partha
RIRafiul Islam
Rafiul Islam

18 April 2025 in Smart Agricultural Technology
Verified
Journal Article
Open access
Dr Md AwalDr Md Awal
Dr Md Awal
IZIsrath Jahan Zune
Israth Jahan Zune
PPPronab Kumar Paul Partha
Pronab Kumar Paul Partha

1 September 2009
Verified
Conference Paper
Closed access
Dr Md AwalDr Md Awal
Dr Md Awal
LBLila Boukhatem
Lila Boukhatem
In this paper we analyze the OFDMA downlink transmission performance of our proposed feedback (FB) reduction mechanism, where the base station (BS) predicts the FB (in terms of signal-to-noise ratio (SNR)) to reduce the FB overhead, hence increases the uplink throughput. In this mechanism, The BS uses well known recursive least square (RLS) algorithm as prediction tool which adapts with SNR variations over time and provides predicted SNR with minimized error. We define the error distribution from the error data thus, we derive the probability of error in each adaptive modulation level to define the average spectral efficiency, average bit error rate (BER) and average throughput with predicted FB and actual FB. Numerical examples confirm that the FB prediction mechanism creates minimum degradation of downlink performance.