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Article ; Online: Green consumers' behavioral intention and loyalty to use mobile organic food delivery applications: the role of social supports, sustainability perceptions, and religious consciousness.

Hasan, Md Mahedi / Al Amin, Md / Arefin, Md Shamsul / Mostafa, Tanjim

Environment, development and sustainability

2023 , Page(s) 1–51

Language	English
Publishing date	2023-05-29
Publishing country	Netherlands
Document type	Journal Article
ZDB-ID	2015291-7
ISSN	1573-2975 ; 1387-585X
ISSN (online)	1573-2975
ISSN	1387-585X
DOI	10.1007/s10668-023-03284-z
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: On improving interoperability for cross‐domain multi‐finger fingerprint matching using coupled adversarial learning

Md Mahedi Hasan / Nasser Nasrabadi / Jeremy Dawson

IET Biometrics, Vol 12, Iss 4, Pp 194-

2023 Volume 210

Abstract: Abstract Improving interoperability in contactless‐to‐contact fingerprint matching is a crucial factor for the mainstream adoption of contactless fingerphoto devices. However, matching contactless probe images against legacy contact‐based gallery images ... ...

Abstract	Abstract Improving interoperability in contactless‐to‐contact fingerprint matching is a crucial factor for the mainstream adoption of contactless fingerphoto devices. However, matching contactless probe images against legacy contact‐based gallery images is very challenging due to the presence of heterogeneity between these domains. Moreover, unconstrained acquisition of fingerphotos produces perspective distortion. Therefore, direct matching of fingerprint features suffers severe performance degradation on cross‐domain interoperability. In this study, to address this issue, the authors propose a coupled adversarial learning framework to learn a fingerprint representation in a low‐dimensional subspace that is discriminative and domain‐invariant in nature. In fact, using a conditional coupled generative adversarial network, the authors project both the contactless and the contact‐based fingerprint into a latent subspace to explore the hidden relationship between them using class‐specific contrastive loss and ArcFace loss. The ArcFace loss ensures intra‐class compactness and inter‐class separability, whereas the contrastive loss minimises the distance between the subspaces for the same finger. Experiments on four challenging datasets demonstrate that our proposed model outperforms state‐of‐the methods and two top‐performing commercial‐off‐the‐shelf SDKs, that is, Verifinger v12.0 and Innovatrics. In addition, the authors also introduce a multi‐finger score fusion network that significantly boosts interoperability by effectively utilising the multi‐finger input of the same subject for both cross‐domain and cross‐sensor settings.
Keywords	fingerprint biometrics ; fingerprint identification ; sensor fusion ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	006
Language	English
Publishing date	2023-07-01T00:00:00Z
Publisher	Hindawi-IET
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Intrinsic Properties of GO/RGO Bilayer Electrodes Dictate Their Inter-/Intralayer Intractability to Modulate Their Capacitance Performance.

Islam, Tamanna / Hasan, Md Mahedi / Sarker, Subrata / Ahammad, A J Saleh

ACS omega

2023 Volume 8, Issue 15, Page(s) 14013–14024

Abstract: The demand for high-capacity energy storage along with high power output and faster charging has made supercapacitors a key area of energy research. The charge storage capacity of capacitors is largely dependent on the electrode materials utilized. To ... ...

Abstract	The demand for high-capacity energy storage along with high power output and faster charging has made supercapacitors a key area of energy research. The charge storage capacity of capacitors is largely dependent on the electrode materials utilized. To that end, graphene oxide (GO) and reduced GO (RGO) have been extensively employed for preparing supercapacitors. However, to date, no study has reported utilizing a GO/RGO bilayer electrode material for supercapacitor application. Herein, we report the synthesis of GO/RGO bilayer electrodes on fluorine-doped tin oxide (FTO) conducting substrates with four different combinations, namely, RGO-RGO, RGO-GO, GO-RGO, and GO-GO. Electrochemical capacitance analysis based on a symmetrical electrode configuration revealed that FTO-GO-RGO electrodes had the best areal capacitance performance. However, the highest specific areal capacitance (27.85 mF/cm
Language	English
Publishing date	2023-04-05
Publishing country	United States
Document type	Journal Article
ISSN	2470-1343
ISSN (online)	2470-1343
DOI	10.1021/acsomega.3c00573
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Environmental and Social Performance of the Banking Industry in Bangladesh

Md. Shajul Islam / Mohammad Rabiul Basher Rubel / Md. Mahedi Hasan

Sustainability, Vol 15, Iss 8665, p

Effect of Stakeholders’ Pressure and Green Practice Adoption

2023 Volume 8665

Abstract: The concepts of Stakeholders’ Pressure (SP), Environmental Performance (EP), and Corporate Social Performance (CSP) are well established in the business of progressive firms. However, firms are yet to examine the effects of Stakeholders’ Pressure (SP) on ...

Abstract	The concepts of Stakeholders’ Pressure (SP), Environmental Performance (EP), and Corporate Social Performance (CSP) are well established in the business of progressive firms. However, firms are yet to examine the effects of Stakeholders’ Pressure (SP) on environmental performance (EP) and Corporate Social Performance (CSP) by connecting the missing linkage of Green Practice Adoption (GPA). The present study explored the association between Stakeholders’ Pressure (SP), Environmental Performance (EP), and Corporate Social Performance (CSP) through the mediating effect of Green Practice Adoption (GPA). The study’s objective was to determine the factors to propose a model for the environmental and social performance of the banking industry in the Bangladesh context. The study assessed the hypotheses using partial least squares-based structural equation modeling with data from 540 line managers from 30 private commercial banks. The results indicate that SP significantly improves EP, CSP, and GPA. On the other hand, GPA showed a substantial accepted effect on EP and CSP. Furthermore, mediation analysis showed that GPA mediates the relationship between SP with EP and CSP. This research fills the gap in the domain of the Environmental and Social Performance of the Banking Industry in Bangladesh. From this study, the academicians may get fresh antecedents of the environmental performance management approach. Thus, the study’s outcomes may give valuable insights to policymakers and managers and provide them with practical evidence to proactively implement SP in firms because such practices positively impact EP and CSP through the mediation of GPA. This result may improve operational efficiency and provide firms with a superior reputation.
Keywords	environmental performance ; stakeholders’ pressure ; corporate social performance ; green practice adoption ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Subject code	690
Language	English
Publishing date	2023-05-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Book ; Online: Text-Guided Face Recognition using Multi-Granularity Cross-Modal Contrastive Learning

Hasan, Md Mahedi / Sami, Shoaib Meraj / Nasrabadi, Nasser

2023

Abstract: State-of-the-art face recognition (FR) models often experience a significant performance drop when dealing with facial images in surveillance scenarios where images are in low quality and often corrupted with noise. Leveraging facial characteristics, ... ...

Abstract	State-of-the-art face recognition (FR) models often experience a significant performance drop when dealing with facial images in surveillance scenarios where images are in low quality and often corrupted with noise. Leveraging facial characteristics, such as freckles, scars, gender, and ethnicity, becomes highly beneficial in improving FR performance in such scenarios. In this paper, we introduce text-guided face recognition (TGFR) to analyze the impact of integrating facial attributes in the form of natural language descriptions. We hypothesize that adding semantic information into the loop can significantly improve the image understanding capability of an FR algorithm compared to other soft biometrics. However, learning a discriminative joint embedding within the multimodal space poses a considerable challenge due to the semantic gap in the unaligned image-text representations, along with the complexities arising from ambiguous and incoherent textual descriptions of the face. To address these challenges, we introduce a face-caption alignment module (FCAM), which incorporates cross-modal contrastive losses across multiple granularities to maximize the mutual information between local and global features of the face-caption pair. Within FCAM, we refine both facial and textual features for learning aligned and discriminative features. We also design a face-caption fusion module (FCFM) that applies fine-grained interactions and coarse-grained associations among cross-modal features. Through extensive experiments conducted on three face-caption datasets, proposed TGFR demonstrates remarkable improvements, particularly on low-quality images, over existing FR models and outperforms other related methods and benchmarks. Comment: Accepted at IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
Keywords	Computer Science - Computer Vision and Pattern Recognition
Subject code	006
Publishing date	2023-12-14
Publishing country	us
Document type	Book ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: The role of coagulome in the tumor immune microenvironment.

Wahab, Riajul / Hasan, Md Mahedi / Azam, Zulfikar / Grippo, Paul J / Al-Hilal, Taslim A

Advanced drug delivery reviews

2023 Volume 200, Page(s) 115027

Abstract: The rising incidence and persistent thrombosis in multiple cancers including those that are immunosuppressive highlight the need for understanding the tumor coagulome system and its role beyond hemostatic complications. Immunotherapy has shown ... ...

Abstract	The rising incidence and persistent thrombosis in multiple cancers including those that are immunosuppressive highlight the need for understanding the tumor coagulome system and its role beyond hemostatic complications. Immunotherapy has shown significant benefits in solid organ tumors but has been disappointing in the treatment of hypercoagulable cancers, such as glioblastoma and pancreatic ductal adenocarcinomas. Thus, targeting thrombosis to prevent immunosuppression seems a clinically viable approach in cancer treatment. Hypercoagulable tumors often develop fibrin clots within the tumor microenvironment (TME) that dictates the biophysical characteristics of the tumor tissue. The application of systems biology and single-cell approaches highlight the potential role of coagulome or thrombocytosis in shaping the tumor immune microenvironment (TIME). In-depth knowledge of the tumor coagulome would provide unprecedented opportunities to better predict the hemostatic complications, explore how thrombotic stroma modulates tumor immunity, reexamine the significance of clinical biomarkers, and enable steering the stromal versus systemic immune response for boosting the effectiveness of immune checkpoint inhibitors in cancer treatment. We focus on the role of coagulation factors in priming a suppressive TIME and the huge potential of existing anticoagulant drugs in the clinical settings of cancer immunotherapy.
MeSH term(s)	Humans ; Tumor Microenvironment ; Immunotherapy/adverse effects ; Pancreatic Neoplasms/pathology ; Immunosuppression Therapy/adverse effects ; Carcinoma, Pancreatic Ductal/pathology
Language	English
Publishing date	2023-07-28
Publishing country	Netherlands
Document type	Journal Article ; Review ; Research Support, N.I.H., Extramural ; Research Support, Non-U.S. Gov't
ZDB-ID	639113-8
ISSN	1872-8294 ; 0169-409X
ISSN (online)	1872-8294
ISSN	0169-409X
DOI	10.1016/j.addr.2023.115027
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Automatic text summarization based on extractive-abstractive method

Md. Ahsan Habib / Romana Rahman Ema / Tajul Islam / Md. Yasir Arafat / Mahedi Hasan

Радіоелектронні і комп'ютерні системи, Vol 0, Iss 2, Pp 5-

2023 Volume 17

Abstract: The choice of this study has a significant impact on daily life. In various fields such as journalism, academia, business, and more, large amounts of text need to be processed quickly and efficiently. Text summarization is a technique used to generate a ... ...

Abstract	The choice of this study has a significant impact on daily life. In various fields such as journalism, academia, business, and more, large amounts of text need to be processed quickly and efficiently. Text summarization is a technique used to generate a precise and shortened summary of spacious texts. The generated summary sustains overall meaning without losing any information and focuses on those parts that contain useful information. The goal is to develop a model that converts lengthy articles into concise versions. The task to be solved is to select an effective procedure to develop the model. Although the present text summarization models give us good results in many recognized datasets such as cnn/daily- mail, newsroom, etc. All the problems can not be resolved by these models. In this paper, a new text summarization method has been proposed: combining the Extractive and Abstractive Text Summarization technique. In the extractive-based method, the model generates a summary using Sentence Ranking Algorithm and passes this generated summary through an abstractive method. When using the sentence ranking algorithm, after rearranging the sentences, the relationship between one sentence and another sentence is destroyed. To overcome this situation, Pronoun to Noun conversion has been proposed with the new system. After generating the extractive summary, the generated summary is passed through the abstractive method. The proposed abstractive model consists of three pre-trained models: google/pegusus-xsum, face-book/bart-large-cnn model, and Yale-LILY/brio-cnndm-uncased, which generates a final summary depending on the maximum final score. The following results were obtained: experimental results on CNN/daily-mail dataset show that the proposed model obtained scores of ROUGE-1, ROUGE-2 and ROUGE-L are respectively 42.67 %, 19.35 %, and 39.57 %. Then, the result has been compared with three state-of-the-art methods: JEANS, DEATS and PGAN-ATSMT. The results outperform state-of-the-art models. Experimental results ...
Keywords	text summarization ; extractive summarization ; abstractive summarization ; sentence ranking algorithm ; text generation ; noun pronoun conversion ; Computer engineering. Computer hardware ; TK7885-7895 ; Electronic computers. Computer science ; QA75.5-76.95
Subject code	410
Language	English
Publishing date	2023-05-01T00:00:00Z
Publisher	National Aerospace University «Kharkiv Aviation Institute»
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Learning view‐invariant features using stacked autoencoder for skeleton‐based gait recognition

Md Mahedi Hasan / Hossen Asiful Mustafa

IET Computer Vision, Vol 15, Iss 7, Pp 527-

2021 Volume 545

Abstract: Abstract Human gait recognition in a multicamera environment is a challenging task in biometrics because of the presence of the large pose and variations in illumination among different views. In this work, to address the problem of variations in view, ... ...

Abstract	Abstract Human gait recognition in a multicamera environment is a challenging task in biometrics because of the presence of the large pose and variations in illumination among different views. In this work, to address the problem of variations in view, we present a novel stacked autoencoder for learning discriminant view‐invariant gait representations. Our autoencoder can efficiently and progressively translate skeleton joint coordinates from any arbitrary view to a common canonical view without requiring the prior estimation of the view angle or covariate type and without losing temporal information. Then, we construct a discriminative gait feature vector by fusing the encoded features with two other spatiotemporal gait features to feed into the main recurrent neural network. Experimental evaluations of the challenging CASIA A and CASIA B gait datasets demonstrate that the proposed approach outperformed other state‐of‐the‐art methods on single‐view gait recognition. In particular, the proposed method achieved 46.31% and 33.86% average correct class recognition on probe set ProbeBG and ProbeCL, respectively, of the CASIA B dataset while considering the view variation; this is 0.3% and 30.68% higher than previous best‐performing methods. Furthermore, in cross‐view recognition, our method shows better results over other state‐of‐the‐art methods when the view‐angle variation is large than 36°.
Keywords	Computer applications to medicine. Medical informatics ; R858-859.7 ; Computer software ; QA76.75-76.765
Subject code	004
Language	English
Publishing date	2021-10-01T00:00:00Z
Publisher	Wiley
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Exploring the Antecedents of Supply Chain Viability in a Pandemic Context

S. M. Misbauddin / Mohammad Jahangir Alam / Chitra Lekha Karmaker / Md. Noor Un Nabi / Md. Mahedi Hasan

Sustainability, Vol 15, Iss 2146, p

An Empirical Study on the Commercial Flower Supply Chain of an Emerging Economy

2023 Volume 2146

Abstract: The global supply chain (SC) has faced unprecedented disruptions fueled by the COVID-19 virus. While scholarly research has explored various dimensions to counter the epidemic and bolster the SC, the literature is still dispersed and fragmented in ... ...

Abstract	The global supply chain (SC) has faced unprecedented disruptions fueled by the COVID-19 virus. While scholarly research has explored various dimensions to counter the epidemic and bolster the SC, the literature is still dispersed and fragmented in managing the SC toward sustainable operational performance. We strengthened the notion of the SC by extending it toward the SC viability (SCV) approach. The objective of the study is to determine the factors to propose a model for sustainable SC viability in a pandemic context. We built our theoretical model based on the viable supply chain (VSC) theory. The study assessed the hypotheses using partial least square-based structural equation modelling with data from 428 flower-producing cum trading enterprises. The research found that supply chain integration and supply risk control positively influence ensuring SCV. Besides, supply chain resilience mediates the effect of SC integration and risk control on SCV. By exploring the role of SC integration, SC resilience, and SC risk control, the study contributes to SC viability theory. Our research fills the gap in the domain of SC viability dimension. From our study, the academicians and firms can get fresh antecedents of SC viability as an emerging sustainable SC management approach.
Keywords	COVID-19 ; emerging economy ; PLS-SEM ; supply chain management ; supply chain viability ; Environmental effects of industries and plants ; TD194-195 ; Renewable energy sources ; TJ807-830 ; Environmental sciences ; GE1-350
Language	English
Publishing date	2023-01-01T00:00:00Z
Publisher	MDPI AG
Document type	Article ; Online
Database	BASE - Bielefeld Academic Search Engine (life sciences selection)

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Article ; Online: Facile Chemical Synthesis of Co-Ru-Based Heterometallic Supramolecular Polymer for Electrochemical Oxidation of Bisphenol A: Kinetics Study at the Electrode/Electrolyte Interface.

Awal, Abdul / Islam, Santa / Islam, Tamanna / Hasan, Md Mahedi / Nayem, S M Abu / James, Md Mahmudul Haque / Hossain, Md Delwar / Ahammad, A J Saleh

ACS omega

2023 Volume 8, Issue 31, Page(s) 28355–28366

Abstract: Regardless of the adverse effects of Bisphenol A (BPA), its use in industry and in day-to-day life is increasing at a higher rate every year. In the present study, a simple and reliable chemical approach was used to develop an efficient BPA sensor based ... ...

Abstract	Regardless of the adverse effects of Bisphenol A (BPA), its use in industry and in day-to-day life is increasing at a higher rate every year. In the present study, a simple and reliable chemical approach was used to develop an efficient BPA sensor based on a Co-Ru-based heterometallic supramolecular polymer (polyCoRu). Surface morphology and elemental analysis were examined using scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDX). Furthermore, functional group analysis was accomplished by Fourier transform infrared spectroscopy (FT-IR). UV-vis spectroscopy was used to confirm the complexation in the ratio of 0.5:0.5:1 (metal 1/metal 2/ligand). Electrochemical characterization of the synthesized polyCoRu was conducted using cyclic voltammetry (CV) and electrochemical impedance spectroscopy (EIS) analyses. The study identified two distinct linear dynamic ranges for the detection of BPA, 0.197-2.94 and 3.5-17.72 μM. The regression equation was utilized to determine the sensitivity and limit of detection (LOD), resulting in values of 0.6 μA cm
Language	English
Publishing date	2023-07-24
Publishing country	United States
Document type	Journal Article
ISSN	2470-1343
ISSN (online)	2470-1343
DOI	10.1021/acsomega.3c02206
Database	MEDical Literature Analysis and Retrieval System OnLINE

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