Browsing by Author "Hasan, Md Hasibul"

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he experimental significance of isorhamnetin as an effective therapeutic option for cancer: A comprehensive analysis
(Scopus, 2024-07) Biswas, Partha; Kaium, Md Abu Kaium ,; Tareq, Md Mohaimenul Islam; Tauhida, Sadia Jannat; Hossain, Md Ridoy; Siam, Labib Shahriar; Parvez, Anwar; Bibi, Shabana; Hasan, Md Hasibul; Rahman, Md Moshiur; Hosen, Delwar; Sohel, Md; Kame, Mohamed; Alamoudi, Mariam K; Daim, Mohamed M Abdel
Isorhamnetin (C16H12O7), a 3'-O-methylated derivative of quercetin from the class of flavonoids, is predominantly present in the leaves and fruits of several plants, many of which have traditionally been employed as remedies due to its diverse therapeutic activities. The objective of this in-depth analysis is to concentrate on Isorhamnetin by addressing its molecular insights as an effective anticancer compound and its synergistic activity with other anticancer drugs. The main contributors to Isorhamnetin's anti-malignant activities at the molecular level have been identified as alterations of a variety of signal transduction processes and transcriptional agents. These include ROS-mediated cell cycle arrest and apoptosis, inhibition of mTOR and P13K pathway, suppression of MEK1, PI3K, NF-κB, and Akt/ERK pathways, and inhibition of Hypoxia Inducible Factor (HIF)-1α expression. A significant number of in vitro and in vivo research studies have confirmed that it destroys cancerous cells by arresting cell cycle at the G2/M phase and S-phase, down-regulating COX-2 protein expression, PI3K, Akt, mTOR, MEK1, ERKs, and PI3K signaling pathways, and up-regulating apoptosis-induced genes (Casp3, Casp9, and Apaf1), Bax, Caspase-3, P53 gene expression and mitochondrial-dependent apoptosis pathway. Its ability to suppress malignant cells, evidence of synergistic effects, and design of drugs based on nanomedicine are also well supported to treat cancer patients effectively. Together, our findings establish a crucial foundation for understanding Isorhamnetin's underlying anti-cancer mechanism in cancer cells and reinforce the case for the requirement to assess more exact molecular signaling pathways relating to specific cancer and in vivo anti-cancer activities.
Power Generation Using Piezoelectric Cell
(Daffodil International University, 2024-02-28) Khan, Shahir Siraj; Hasan, Md Hasibul; Akash, Atick Shahriar
This paper presents the design, fabrication, and characterization of a piezoelectric energy harvester. The harvester utilizes a lead zirconate titanate (PZT) ceramic as the piezoelectric material and is designed to harvest energy from ambient vibrations. The paper describes the fabrication process, experimental setup, and performance characterization of the harvester. The results show that the harvester can generate an open-circuit voltage of up to 19V and a maximum power output of 8.925W under specific vibration conditions.
T-Way Strategy for Sequence Input Interaction Test Case Generation Adopting Fish Swarm
(Scopus, 2020) Rahman, Algorithm Mostafijur; Sultana, Dalia; Khatun, Sabira; Jusof, Mohd Falfazli Mat; Shaharum, Syamimi Mardiah; Yusof, Nurhafizah Abu Talip; Qaiduzzaman, Khandker M.; Hasan, Md Hasibul; Rahman, Md Mushfiqur; Hossen, Md Anwar; Begum, Afsana
In Combinatorial Input Interaction (CII) based system, the increasing number of input event causes the increasing number of test cases. Since twenty years many useful T-way strategies have been developed to reduce test case size. In order to reduce test cases several T-way sequence input interaction strategies are explored, such as, Bee Algorithm(BA), Kuhn encoding (K), ASP with Clasp, CP with Sugar, Erdem (ER) exact encoding, Tarui (TA) Method, U, UR, D and DR, Brain (BR). However, none of them claim that for all test configuration the produced test cases are best. The reason is that the T-way sequence input interaction is NP-Hard problem. In this research, Fish Swarm algorithm is proposed to adapt with T-way sequence input interaction test strategy. The proposed system is compared with the other renowned search-based T-way strategies. The result shows that the proposed system is able to generate feasible and optimal results.
The Experimental Significance of Isorhamnetin as an Effective Therapeutic Option for Cancer: A Comprehensive Analysis
(IEEE, 2024-06-10) Biswas, Partha; Kaium, Md. Abu; Tareq, Md. Mohaimenul Islam; Tauhida, Sadia Jannat; Hossain, Md Ridoy; Siam, Labib Shahriar; Parvez, Anwar; Bibi, Shabana; Hasan, Md Hasibul; Rahman, Md. Moshiur; Hosen, Delwar; Siddiquee, Md. Ariful Islam; Ahmed, Nasim; Sohel, Md.; Al Azad, Salauddin; Alhadrami, Albaraa H.; Kamel, Mohamed; Alamoudi, Mariam K.; Hasan, Md. Nazmul; Abdel-Daim, Mohamed M.
Isorhamnetin (C16H12O7), a 3'-O-methylated derivative of quercetin from the class of flavonoids, is predominantly present in the leaves and fruits of several plants, many of which have traditionally been employed as remedies due to its diverse therapeutic activities. The objective of this in-depth analysis is to concentrate on Isorhamnetin by addressing its molecular insights as an effective anticancer compound and its synergistic activity with other anticancer drugs. The main contributors to Isorhamnetin's anti-malignant activities at the molecular level have been identified as alterations of a variety of signal transduction processes and transcriptional agents. These include ROS-mediated cell cycle arrest and apoptosis, inhibition of mTOR and P13K pathway, suppression of MEK1, PI3K, NF-κB, and Akt/ERK pathways, and inhibition of Hypoxia Inducible Factor (HIF)-1α expression. A significant number of in vitro and in vivo research studies have confirmed that it destroys cancerous cells by arresting cell cycle at the G2/M phase and S-phase, down-regulating COX-2 protein expression, PI3K, Akt, mTOR, MEK1, ERKs, and PI3K signaling pathways, and up-regulating apoptosis-induced genes (Casp3, Casp9, and Apaf1), Bax, Caspase-3, P53 gene expression and mitochondrial-dependent apoptosis pathway. Its ability to suppress malignant cells, evidence of synergistic effects, and design of drugs based on nanomedicine are also well supported to treat cancer patients effectively. Together, our findings establish a crucial foundation for understanding Isorhamnetin's underlying anti-cancer mechanism in cancer cells and reinforce the case for the requirement to assess more exact molecular signaling pathways relating to specific cancer and in vivo anti-cancer activities.
The Experimental Significance of Isorhamnetin as an Effective Therapeutic Option for Cancer: A Comprehensive Analysis
(Elsevier, 2024-06-10) Biswas, Partha; Kaium, Md. Abu; Tareq, Md. Mohaimenul Islam; Tauhid, Sadia Jannat; Hossain, Md Ridoy; Siam, Labib Shahriar; Parvez, Anwar; Bibi, Shabana; Hasan, Md Hasibul; Rahman, Md. Moshiur; Hosen, Delwar; Siddiquee, Md. Ariful Islam; Ahmed, Nasim; Sohel, Md.; Azad, Salauddin Al; Alhadrami, Albaraa H.; Kamel, Mohamed; Alamoudi, Mariam K.; Hasan, Md. Nazmul; Abdel-Daim, Mohamed M.
Isorhamnetin (C16H12O7), a 3'-O-methylated derivative of quercetin from the class of flavonoids, is predominantly present in the leaves and fruits of several plants, many of which have traditionally been employed as remedies due to its diverse therapeutic activities. The objective of this in-depth analysis is to concentrate on Isorhamnetin by addressing its molecular insights as an effective anticancer compound and its synergistic activity with other anticancer drugs. The main contributors to Isorhamnetin's anti-malignant activities at the molecular level have been identified as alterations of a variety of signal transduction processes and transcriptional agents. These include ROS-mediated cell cycle arrest and apoptosis, inhibition of mTOR and P13K pathway, suppression of MEK1, PI3K, NF-κB, and Akt/ERK pathways, and inhibition of Hypoxia Inducible Factor (HIF)-1α expression. A significant number of in vitro and in vivo research studies have confirmed that it destroys cancerous cells by arresting cell cycle at the G2/M phase and S-phase, down-regulating COX-2 protein expression, PI3K, Akt, mTOR, MEK1, ERKs, and PI3K signaling pathways, and up-regulating apoptosis-induced genes (Casp3, Casp9, and Apaf1), Bax, Caspase-3, P53 gene expression and mitochondrial-dependent apoptosis pathway. Its ability to suppress malignant cells, evidence of synergistic effects, and design of drugs based on nanomedicine are also well supported to treat cancer patients effectively. Together, our findings establish a crucial foundation for understanding Isorhamnetin's underlying anti-cancer mechanism in cancer cells and reinforce the case for the requirement to assess more exact molecular signaling pathways relating to specific cancer and in vivo anti-cancer activities.
Transformer-based deep learning approach to real-time violence detection
(BRAC University, 2024-05) Hasib, Md Ahsan; Hasan, Md Hasibul; Asif, Md Ragib; Shrestho, Sadril Amin; Omi, Nazmul Haque; Hossain, Muhammad Iqbal
Violence detection has always been a challenging task in the field of computer vision and machine learning due to the complexity of real-world environments, imbalanced data, and the need for real-time performance. Furthermore, automated violence detection in surveillance systems is essential for enhancing public safety and enabling advanced security applications. Over these years several models such as CNN+LSTM, MSBT, SlowFast and many machine learning techniques have been adopted to classify violence. While existing models have achieved strong results in binary classification, their performance often falters when applied to large, imbalanced multiclass datasets like UCF-Crime. In this work, we propose a transformer based lightweight model, the Dynamic Memory Bank Fused Attention Network (DMFA-Net), designed to overcome these limitations. Our model leverages a Cross Attention mechanism to selectively retrieve relevant information from a Memory Bank, allowing it to achieve significantly higher accuracy in both binary and multiclass violence detection tasks. Experimental results demonstrate that DMFA-Net outperforms existing state-of-the-art models in the field. We also discuss the practical integration of our approach into real-time, autonomous surveillance systems for reliable violence detection.