Md. Nazim Uddin Chy
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View article: Optimizing microwave-assisted rice bran oil extraction: A response surface and neural network approach for improved yield and storage stability
Optimizing microwave-assisted rice bran oil extraction: A response surface and neural network approach for improved yield and storage stability Open
View article: Comparative Evaluation of Machine Learning Algorithms for Forecasting Infectious Diseases: Insights from COVID-19 and Dengue Data
Comparative Evaluation of Machine Learning Algorithms for Forecasting Infectious Diseases: Insights from COVID-19 and Dengue Data Open
This study evaluates the effectiveness of various machine learning (ML) models in forecasting COVID-19 case counts and predicting dengue outbreaks. Using publicly available datasets containing epidemiological data, climate variables, human…
View article: In silico exploration of anticancer plant phytochemicals for EGFR-targeted lung cancer therapy
In silico exploration of anticancer plant phytochemicals for EGFR-targeted lung cancer therapy Open
Mutations in the epidermal growth factor receptor (EGFR), particularly in the tyrosine kinase domain such as exon 19 deletions and the L858R point mutation, play a critical role in the development of non-small cell lung cancer (NSCLC). EGF…
View article: Comparative Performance of Large Language Models for Sentiment Analysis of Consumer Feedback in the Banking Sector: Accuracy, Efficiency, and Practical Deployment
Comparative Performance of Large Language Models for Sentiment Analysis of Consumer Feedback in the Banking Sector: Accuracy, Efficiency, and Practical Deployment Open
In the rapidly evolving banking sector, understanding consumer sentiment is crucial for informed decision-making and enhancing customer experiences. This study investigates the efficacy of large language models (LLMs) for sentiment analysi…
View article: Forecasting Bank Profitability Using Deep Learning and Macroeconomic Indicators: A Comparative Model Study
Forecasting Bank Profitability Using Deep Learning and Macroeconomic Indicators: A Comparative Model Study Open
This study proposes a deep learning framework for forecasting bank profitability by integrating macroeconomic indicators with firm-level financial data. Using models such as LSTM, GRU, Transformer, and TCN—compared against traditional appr…
View article: Artificial Neural Network and response surface methodology modeling-based optimization approach for the ultrasonication-assisted extraction of phenolics from mustard (BARI Sharisa-18) seed meal
Artificial Neural Network and response surface methodology modeling-based optimization approach for the ultrasonication-assisted extraction of phenolics from mustard (BARI Sharisa-18) seed meal Open
This study utilized a mustard variety known as BARI Sharisha-18 to efficiently extract antioxidants like TPC, TFC, and DPPH radical scavenging activity using ultrasound-assisted extraction (UAE) by optimizing key parameters, such as ultras…
View article: Deep Learning Meets Early Diagnosis: A Hybrid CNN-DNN Framework for Lung Cancer Prediction and Clinical Translation
Deep Learning Meets Early Diagnosis: A Hybrid CNN-DNN Framework for Lung Cancer Prediction and Clinical Translation Open
Early detection of lung cancer significantly improves patient survival yet remains a challenge due to the subtle nature of early-stage radiological features. This study proposes a multimodal deep learning framework that combines convolutio…
View article: In silico exploration of anticancer plant phytochemicals for EGFR-targeted lung cancer therapy
In silico exploration of anticancer plant phytochemicals for EGFR-targeted lung cancer therapy Open
Background: Mutations in the epidermal growth factor receptor (EGFR), particularly in the tyrosine kinase domain such as exon 19 deletions and the L858R point mutation, play a critical role in the development of non-small cell lung cancer …
View article: A Hybrid CNN-LSTM Approach for Detecting Anomalous Bank Transactions: Enhancing Financial Fraud Detection Accuracy
A Hybrid CNN-LSTM Approach for Detecting Anomalous Bank Transactions: Enhancing Financial Fraud Detection Accuracy Open
Detecting fraudulent bank transactions is crucial for maintaining the integrity of financial institutions and preserving customer trust. This study introduces a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) model de…
View article: A Hybrid CNN-LSTM Approach for Detecting Anomalous Bank Transactions: Enhancing Financial Fraud Detection Accuracy
A Hybrid CNN-LSTM Approach for Detecting Anomalous Bank Transactions: Enhancing Financial Fraud Detection Accuracy Open
Detecting fraudulent bank transactions is crucial for maintaining the integrity of financial institutions and preserving customer trust. This study introduces a hybrid Convolutional Neural Network–Long Short-Term Memory (CNN-LSTM) model de…
View article: Comparative Analysis of Machine Learning Models for Credit Risk Prediction in Banking Systems.
Comparative Analysis of Machine Learning Models for Credit Risk Prediction in Banking Systems. Open
The increasing complexity of credit risk management in banking systems has led to the adoption of machine learning techniques to improve the prediction of loan defaults. This study evaluates and compares the performance of several machine …
View article: Optimization of microwave-assisted polyphenol extraction and antioxidant activity from papaya peel using response surface methodology and artificial neural network
Optimization of microwave-assisted polyphenol extraction and antioxidant activity from papaya peel using response surface methodology and artificial neural network Open
The objective of the present study is to determine the optimal conditions of microwave-assisted extraction (MAE) such as microwave power (MWP), irradiation time (I-time), ethanol concentration (EtOH%), and solvent-to-solid ratio (S/S) for …
View article: Anxiolytic, antidepressant and antioxidant activity of the methanol extract of Canarium resiniferum leaves
Anxiolytic, antidepressant and antioxidant activity of the methanol extract of Canarium resiniferum leaves Open
View article: Network Pharmacology Study to Reveal the Potentiality of a Methanol Extract of Caesalpinia sappan L. Wood against Type-2 Diabetes Mellitus
Network Pharmacology Study to Reveal the Potentiality of a Methanol Extract of Caesalpinia sappan L. Wood against Type-2 Diabetes Mellitus Open
Caesalpinia sappan L. (CS) is widely used to treat diabetic complications in south-east Asia, specifically in traditional Chinese medicine. This study intends to explain the molecular mechanism of how chemical constituents of CS interrelat…
View article: In silico molecular docking study of phytochemicals obtained from Holigarna caustica (Dennst.) for cancer treatment
In silico molecular docking study of phytochemicals obtained from Holigarna caustica (Dennst.) for cancer treatment Open
varnish tree.The Chittagong, Cox's Bazar, and Chittagong Hill Tract regions of Bangladesh are home to this species.Traditional medicine uses the plant to treat hemorrhoids, tumors, malignancies, skin disorders, obesity, inflammation, eye i…
View article: Chemical Profiling, Pharmacological Insights and In Silico Studies of Methanol Seed Extract of Sterculia foetida
Chemical Profiling, Pharmacological Insights and In Silico Studies of Methanol Seed Extract of Sterculia foetida Open
Sterculia foetida, also known as jangli badam in Bangladesh, is a traditionally used plant that has pharmacological activities. A qualitative phytochemical analysis was performed to assess the metabolites in a methanolic extract of S. foet…
View article: Investigation of the Pharmacological Properties of Lepidagathis hyalina Nees through Experimental Approaches
Investigation of the Pharmacological Properties of Lepidagathis hyalina Nees through Experimental Approaches Open
Lepidagathis hyalina Nees is used locally in Ayurvedic medicine to treat coughs and cardiovascular diseases. This study explored its pharmacological potential through in vivo and in vitro approaches for the metabolites extracted (methanoli…
View article: <em>In silico</em> virtual screening of known drugs against SARS-CoV-2 3CL protease: A drug repurposing approach for COVID-19
<em>In silico</em> virtual screening of known drugs against SARS-CoV-2 3CL protease: A drug repurposing approach for COVID-19 Open
Since the outbreak of the novel coronavirus disease (COVID-19) in late December 2019, it rapidly spread throughout the world. Besides, no specific treatment has been reported so far against the disease. In such cases, the drug repurposing …
View article: Unravelling the Biological Activities of the Byttneria pilosa Leaves Using Experimental and Computational Approaches
Unravelling the Biological Activities of the Byttneria pilosa Leaves Using Experimental and Computational Approaches Open
Byttneria pilosa is locally known as Harijora, and used by the native hill-tract people of Bangladesh for the treatment of rheumatalgia, snake bite, syphilis, fractured bones, elephantiasis and an antidote for poisoning. The present study …
View article: An integrated exploration of pharmacological potencies of Bischofia javanica (Blume) leaves through experimental and computational modeling
An integrated exploration of pharmacological potencies of Bischofia javanica (Blume) leaves through experimental and computational modeling Open
View article: Biochemical and Computational Approach of Selected Phytocompounds from Tinospora crispa in the Management of COVID-19
Biochemical and Computational Approach of Selected Phytocompounds from Tinospora crispa in the Management of COVID-19 Open
A pandemic caused by the novel coronavirus (SARS-CoV-2 or COVID-19) began in December 2019 in Wuhan, China, and the number of newly reported cases continues to increase. More than 19.7 million cases have been reported globally and about 72…
View article: GC-MS Phytochemical Profiling, Pharmacological Properties, and In Silico Studies of Chukrasia velutina Leaves: A Novel Source for Bioactive Agents
GC-MS Phytochemical Profiling, Pharmacological Properties, and In Silico Studies of Chukrasia velutina Leaves: A Novel Source for Bioactive Agents Open
Chukrasia velutina is a local medicinal plant commonly known as chikrassy in Bangladesh, India, China, and other South Asian countries. The leaves, bark, and seeds are vastly used as herbal medicine for fever and diarrhea, and its leaves e…
View article: Organic Extracts of Asian Plants Potentially Support Thrombolysis in Varied BMI Groups
Organic Extracts of Asian Plants Potentially Support Thrombolysis in Varied BMI Groups Open
A number of plant-derived drugs have been prescribed for treating atherothrombotic disorders such as myocardial or cerebral infarction.Therefore, this study investigated the individual and combined antithrombotic effects of six Asian plant…
View article: Pharmacological studies on the antinociceptive, anxiolytic and antidepressant activity of <i>Tinospora crispa</i>
Pharmacological studies on the antinociceptive, anxiolytic and antidepressant activity of <i>Tinospora crispa</i> Open
Pharmacological studies were performed in mice on the methanol extract of Tinospora crispa (TC), and of its hexane (HF) and chloroform (CF) fractions. Significant antinociceptive activity was observed for TC, HF, and CF in the acetic acid‐…
View article: Intervention in Neuropsychiatric Disorders by Suppressing Inflammatory and Oxidative Stress Signal and Exploration of In Silico Studies for Potential Lead Compounds from Holigarna caustica (Dennst.) Oken leaves
Intervention in Neuropsychiatric Disorders by Suppressing Inflammatory and Oxidative Stress Signal and Exploration of In Silico Studies for Potential Lead Compounds from Holigarna caustica (Dennst.) Oken leaves Open
Holigarna caustica (Dennst.), a popular plant used in folk medicine in Bangladesh, is often used by the local folk practitioner to treat a variety of chronic diseases. The present research is an attempt to find out an innovative therapeuti…
View article: Comparative Study of Piper sylvaticum Roxb. Leaves and Stems for Anxiolytic and Antioxidant Properties Through In Vivo, In Vitro, and In Silico Approaches
Comparative Study of Piper sylvaticum Roxb. Leaves and Stems for Anxiolytic and Antioxidant Properties Through In Vivo, In Vitro, and In Silico Approaches Open
Piper sylvaticum Roxb. is traditionally used by the indigenous people of tropical and subtropical countries like Bangladesh, India, and China for relieving the common cold or a variety of chronic diseases, such as asthma, chronic coughing,…
View article: Unveiling Pharmacological Responses and Potential Targets Insights of Identified Bioactive Constituents of Cuscuta reflexa Roxb. Leaves through In Vivo and In Silico Approaches
Unveiling Pharmacological Responses and Potential Targets Insights of Identified Bioactive Constituents of Cuscuta reflexa Roxb. Leaves through In Vivo and In Silico Approaches Open
Cuscuta reflexa Roxb. is traditionally used by the indigenous communities of Bangladesh to treat different diseases, such as pain, edema, tumor, jaundice, and skin infections. This study tested neuro-pharmacological, anti-nociceptive, and …
View article: In vivo and in vitro pharmacological activities of Tacca integrifolia rhizome and investigation of possible lead compounds against breast cancer through in silico approaches
In vivo and in vitro pharmacological activities of Tacca integrifolia rhizome and investigation of possible lead compounds against breast cancer through in silico approaches Open
Background The study was conducted to evaluate the analgesic, anti-inflammatory, antipyretic properties of ethanolic extract of Tacca integrifolia rhizome (EETI) in mice and cytotoxic effects in brine shrimp nauplii followed by a PASS pred…
View article: Investigation of the Biological Activities and Characterization of Bioactive Constituents of Ophiorrhiza rugosa var. prostrata (D.Don) & Mondal Leaves through In Vivo, In Vitro, and In Silico Approaches
Investigation of the Biological Activities and Characterization of Bioactive Constituents of Ophiorrhiza rugosa var. prostrata (D.Don) & Mondal Leaves through In Vivo, In Vitro, and In Silico Approaches Open
Ophiorrhiza rugosa var. prostrata is one of the most frequently used ethnomedicinal plants by the indigenous communities of Bangladesh. This study was designed to investigate the antidiarrheal, anti-inflammatory, anthelmintic and antibacte…
View article: Evaluation of anti-nociceptive and anti-inflammatory activities of the methanol extract of Holigarna caustica (Dennst.) Oken leaves
Evaluation of anti-nociceptive and anti-inflammatory activities of the methanol extract of Holigarna caustica (Dennst.) Oken leaves Open