1,361,407 research outputs found
"Islamophobia in Britain" - A conversation with Dr Aminul Hoque, MBE
As part of Islamophobia Awareness Month, the Goldsmiths Debating Society recently hosted a public interview via Zoom with the writer and academic Dr Aminul Hoque from the Educational Studies department, Goldsmiths College. In this in-depth interview, Dr Hoque explores the racial underpinnings of Islamophobia for many millions of Muslims across the globe
My autobiography - Aminul Hoque
A motivational talk to approximately 150 Year 10 pupils. The school describes the event as follows: Year 10 were fortunate to have Aminul Hoque from Goldsmiths University as a guest speaker. He shared his life story and the importance of identity, inspiring our Year 10 students. His talk focused on his achievements and building resilience, leaving a lasting impact on our students
E-enterprise : business models, architecture, and components / Faisal Hoque.
Includes bibliographical references (p. [265]-271) and index.xx, 284 pages ;E-commerce is still a volatile industry, but each day a new enterprise pops up promising to be the next big thing. The real challenge is to understand what is involved in using the Internet as a means to building a successful business. Rather than coming up with marketing hooks and product innovations, e-Enterprise: Business Models, Architecture, and Components demystifies e-commerce and describes how a business should determine its own future by taking the next step and becoming an agile 'e-enterprise'. Faisal Hoque introduces the concept of high-level abstraction of business processes and application functionality that result in reusable business and technology components. He provides a methodology that is critical for all business leaders and technologists trying to build an enterprise on the internet
Patterns of boardroom discussions around the accountability process in a nonprofit organisation
This chapter sets out to identify patterns at play in boardroom discussions around the design and adoption of an accountability system in a nonprofit organisation. To this end, it contributes to the scarce literature showing the backstage of management accounting systems (Berry, 2005), investment policy determining (Kreander, Beattie & McPhail, 2009; Kreander, McPhail & Molyneaux, 2004) and financial planning strategizing (Parker, 2004) or budgeting (Irvine 2005). The paucity of publications is due to issues raised by confidentiality preventing attendance at those meetings (Irvine, 2003), Irvine & Gaffikin, 2006). However, often, the implementation of a new control technology occurs over a long period of time that might exceed the duration of a research project (Quattrone & Hopper, 2001, 2005). Recent trends consisting of having research funded by grants from private institutions or charities have tended to reduce the length of such undertakings to a few months or rarely more than a couple of years (Parker, 2013)
Cross-border e-commerce marketing and managing/ Md Rakibul Hoque and R. Edward Bashaw, editors.
Includes bibliographical references and index."This book will broaden the knowledge on the cross-border e-Commerce industry by bringing the findings and discussion on the driving forces, theoretical backgrounds, legal and logistic framework, law and taxation, trends and technology-integration and case studies pertinent to the cross-border e-Commerce industry"--Cross-border e-commerce marketing and management / Md Hoque, R. Bashaw -- Digital marketing / Mohammad Osman Gani, Anisur Rahman Faroque -- Supply chain in cross border e-commerce / Md. Nuruzzaman, Alicia Weber -- Cross-border e-commerce an emerging norm : cross-border e-commerce / Md Rakibul Hoque, R. Bashaw -- Are e-commerce (shopping) companies targeting the right segment in India / Rohit Sood -- Inherited hindrance aspect in Asian Pacific family businesses / Nanieil Shaky -- Cross border e-commerce payments / Noor Begum, Md Hasan -- Cross border e-commerce and small medium enterprises (SMEs) / Muhammad Anshari, Mohammad Almunawar, Syamimi Lim -- Understanding the current research of cross-border e-commerce : a systematic literature review / Jian Mou, Yi Cui -- Big data, artificial intelligence and the internet of things in cross-border ecommerce : big data, AI, and IoT in cross-border e-commerce / Aboobucker Ilmudeen -- Marketing and advertisement in cross-border e-commerce / Mohammad Zahedul Alam -- Cross-border e-commerce security issues and protections / Sumaiya Thaseen, Aarshitha Kopparapu, Gopika Velu, Aswani Cherukuri -- Managing human resources in e-commerce / Roksana Binte Rezwan -- Contingent effect of extrinsic attributes on the association between country of origin and foreign consumer buying intention : insights from cultural based digital services / Md.Salamun Rashidin, Wang Jian, Sara Javed.1 online resourc
The Qualitative Research Tradition
To help those embarking on a qualitative accounting research study this chapter explains the methodological issues that must be considered. The chapter draws on literature on qualitative research alongside the experience of the authors and intends to be a practical guide to the qualitative methodology. To clarify concepts and avoid confusion, the terms methodology and methods are used in the chapter in the same way as defined by Tucker and Hoque (2017, p. 4); methodology refers to the theory of how research is undertaken, in particular, the theoretical and philosophical assumptions upon which a study is based and the implications of these for the method or methods adopted whereas methods relates to tools (questionnaires, interviews and direct and archival observation) and techniques (statistical and non-statistical analytic procedures) used to gather and analyse evidence. The Chapter is organized into six sections. In section two we discuss the main features of the qualitative research tradition with the aim of distinguishing it from quantitative research. Section three discusses the history of qualitative research in accounting investigation. The link between ontology and epistemology is explained in section four. This section describes how the methodology adopted by the researcher should be based on his/her fundamental view about reality and assumptions about how knowledge can be gained. Section five depicts some of the research methods available to accounting researchers to generate qualitative evidence while section six focuses on the field research process, from the time the researcher must choose and access the case, until the dissemination of the research outputs. Section seven concludes the chapter. <br/
The Qualitative Research Tradition
To help those embarking on a qualitative accounting research study this chapter explains the methodological issues that must be considered. The chapter draws on literature on qualitative research alongside the experience of the authors and intends to be a practical guide to the qualitative methodology. To clarify concepts and avoid confusion, the terms methodology and methods are used in the chapter in the same way as defined by Tucker and Hoque (2017, p. 4); methodology refers to the theory of how research is undertaken, in particular, the theoretical and philosophical assumptions upon which a study is based and the implications of these for the method or methods adopted whereas methods relates to tools (questionnaires, interviews and direct and archival observation) and techniques (statistical and non-statistical analytic procedures) used to gather and analyse evidence. The Chapter is organized into six sections. In section two we discuss the main features of the qualitative research tradition with the aim of distinguishing it from quantitative research. Section three discusses the history of qualitative research in accounting investigation. The link between ontology and epistemology is explained in section four. This section describes how the methodology adopted by the researcher should be based on his/her fundamental view about reality and assumptions about how knowledge can be gained. Section five depicts some of the research methods available to accounting researchers to generate qualitative evidence while section six focuses on the field research process, from the time the researcher must choose and access the case, until the dissemination of the research outputs. Section seven concludes the chapter. <br/
Staining resilient algorithms for cancer image analysis in digital pathology
Abstract
Medical imaging and image-based computer-assisted tools and techniques promise advances in cancer diagnosis, but there are still many unresolved challenges in technical aspects, data standardization, staining variability, and regulatory and ethical approval. These challenges in clinical medicine and pathology include the need to develop methods that are invariant and insensitive to staining variations. In modern clinical practice, digital pathology is indispensable, facilitating efficient image management and analysis through advanced technology that surpasses traditional optical microscopy methods. Technological advances and a growing emphasis on precision medicine have opened the way for developing methods for quantitative pathology assessments. These include methodologies such as whole slide imaging and artificial intelligence-driven solutions, which enable the exploration and extraction of information beyond the capabilities of human visual perception. This thesis focuses on finding solutions to three research questions by introducing robust algorithms that facilitate stained tissue sample image analysis. The main contributions can be classified into three parts: the first contribution is to solve staining challenges with methods that can quantify individual components of histochemical stains for optimal removal of staining variability. The second contribution is to find solutions for histopathology image registration challenges minimizing the misalignment errors and the risks of inter-laboratory variations. Finally, the third contribution is to optimize and aid staging cancer through nuclei detection and invasion depth estimation with minimal inter-observer and intra-observer variations. The performance evaluations of the proposed methods have been thoroughly performed on eight datasets, and these methods outperform state-of-the-art methods in terms of several performance evaluation metrics. This cancer image analysis research involves the development of advanced algorithms and tools that have far-reaching implications for healthcare and set the stage for more efficient cancer treatment. The findings in this thesis will serve as a basis for further research on the application and interpretability of AI-driven tools in support of digital pathology and computer-aided cancer diagnosis. Original papers Hoque, Md. Z., Keskinarkaus, A., Nyberg, P., & Seppänen, T. (2021). Retinex model based stain normalization technique for whole slide image analysis. Computerized Medical Imaging and Graphics, 90, 101901. https://doi.org/10.1016/j.compmedimag.2021.101901 https://doi.org/10.1016/j.compmedimag.2021.101901 Self-archived version Hoque, Md. Z., Keskinarkaus, A., Nyberg, P., Mattila, T., & Seppänen, T. (2022). Whole slide image registration via multi-stained feature matching. Computers in Biology and Medicine, 144, 105301. https://doi.org/10.1016/j.compbiomed.2022.105301 https://doi.org/10.1016/j.compbiomed.2022.105301 Self-archived version Hoque, Md. Z., Keskinarkaus, A., Nyberg, P., & Seppänen, T. (2024). Stain normalization methods for histopathology image analysis: A comprehensive review and experimental comparison. Information Fusion, 102, 101997. https://doi.org/10.1016/j.inffus.2023.101997 https://doi.org/10.1016/j.inffus.2023.101997 Self-archived version Martos, O., Hoque, M. Z., Keskinarkaus, A., Kemi, N., Näpänkangas, J., Eskuri, M., Pohjanen, V.-M., Kauppila, J. H., & Seppänen, T. (2023). Optimized detection and segmentation of nuclei in gastric cancer images using stain normalization and blurred artifact removal. Pathology - Research and Practice, 248, 154694. https://doi.org/10.1016/j.prp.2023.154694 https://doi.org/10.1016/j.prp.2023.154694 Self-archived version Hoque, Md. Z., Keskinarkaus, A., Nyberg, P., Xu, H., & Seppänen, T. (2023). Invasion depth estimation of carcinoma cells using adaptive stain normalization to improve epidermis segmentation accuracy. Computerized Medical Imaging and Graphics, 108, 102276. https://doi.org/10.1016/j.compmedimag.2023.102276 https://doi.org/10.1016/j.compmedimag.2023.102276 Self-archived version Hoque, M. Z., Keskinarkaus, A., Nyberg, P., & Seppänen, T. (2024). Transformer-based registration framework for differently stained histopathology image analysis. Manuscript submitted for publication. Tiivistelmä
Lääketieteellinen kuvantaminen ja kuvapohjaiset tietokoneavusteiset työkalut ja tekniikat ovat lupaavia syövän diagnosoinnissa, mutta teknisissä näkökohdissa, datan standardoinnissa sekä sääntely- ja eettisissä hyväksyntäprosesseissa on edelleen monia ratkaisemattomia haasteita. Kliinisen lääketieteen ja patologian haasteisiin kuuluu invarianttien ja epäherkkien menetelmien kehittämisen tarve. Nykyaikaisessa kliinisessä käytännössä digitaalinen patologia on tärkeä, sillä se mahdollistaa tehokkaan kuvien hallinnan ja analysoinnin kehittyneen teknologian avulla, joka ylittää perinteiset optisen mikroskopian menetelmät. Teknologinen kehitys ja kasvava painotus täsmälääketieteeseen ovat mahdollistaneet kvantitatiivisten patologiaan liittyvien menetelmien kehittymistä. Näihin kuuluvat menetelmät, kuten digitaalipatologia ja tekoälyyn perustuvat ratkaisut, jotka mahdollistavat tiedon tutkimisen ja poimimisen tavoilla, joihin ihmisen visuaalinen havainnointikyky ei pysty. Tämä väitöskirja keskittyy löytämään ratkaisuja kolmeen tutkimuskysymykseen, joihin on kehitetty algoritmeja jotka helpottavat värjättyjen kudosnäytteiden kuvien analysointia. Väitöskirjan tärkeimmät panokset voidaan luokitella kolmeen osaan: ensimmäinen osio keskittyy menetelmiin, jotka pystyvät kvantifioimaan histokemiallisten värjäysten yksittäiset komponentit ja helpottamaan värjäysvaihteluiden optimaalista poistamista. Toisessa osiossa etsitään ratkaisuja histopatologian kuvanrekisteröinnin haasteisiin minimoimalla laboratorioiden välisiä vaihteluita ja kohdistusvirheitä. Lopuksi kolmas osio keskittyy optimoimaan syövän luokittelua solujen tumien havaitsemisen ja solujen invaasiosyvyyden mittaamisen avulla. Ehdotettujen menetelmien suorituskykyarvioinnit on suoritettu perusteellisesti kahdeksalla tietojoukolla, ja menetelmämme ylittävät alan huipputekniikat useiden suorituskykymittareiden osalta. Tämä syöpäkuvien analyysitutkimus sisältää kehittyneiden algoritmien ja työkalujen kehittämistä, joilla tulee olemaan laajakantoisia vaikutuksia terveydenhuoltoon ja jotka luovat pohjan tehokkaammalle syövän hoidolle. Väitöskirjassa tehdyt havainnot toimivat perustana jatkotutkimuksille, jotka koskevat tekoälypohjaisten työkalujen soveltamista ja tulkittavuutta digitaalisen patologian ja tietokoneavusteisen syövän diagnostiikan tukena. Osajulkaisut Hoque, Md. Z., Keskinarkaus, A., Nyberg, P., & Seppänen, T. (2021). Retinex model based stain normalization technique for whole slide image analysis. Computerized Medical Imaging and Graphics, 90, 101901. https://doi.org/10.1016/j.compmedimag.2021.101901 https://doi.org/10.1016/j.compmedimag.2021.101901 Rinnakkaistallennettu versio Hoque, Md. Z., Keskinarkaus, A., Nyberg, P., Mattila, T., & Seppänen, T. (2022). Whole slide image registration via multi-stained feature matching. Computers in Biology and Medicine, 144, 105301. https://doi.org/10.1016/j.compbiomed.2022.105301 https://doi.org/10.1016/j.compbiomed.2022.105301 Rinnakkaistallennettu versio Hoque, Md. Z., Keskinarkaus, A., Nyberg, P., & Seppänen, T. (2024). Stain normalization methods for histopathology image analysis: A comprehensive review and experimental comparison. Information Fusion, 102, 101997. https://doi.org/10.1016/j.inffus.2023.101997 https://doi.org/10.1016/j.inffus.2023.101997 Rinnakkaistallennettu versio Martos, O., Hoque, M. Z., Keskinarkaus, A., Kemi, N., Näpänkangas, J., Eskuri, M., Pohjanen, V.-M., Kauppila, J. H., & Seppänen, T. (2023). Optimized detection and segmentation of nuclei in gastric cancer images using stain normalization and blurred artifact removal. Pathology - Research and Practice, 248, 154694. https://doi.org/10.1016/j.prp.2023.154694 https://doi.org/10.1016/j.prp.2023.154694 Rinnakkaistallennettu versio Hoque, Md. Z., Keskinarkaus, A., Nyberg, P., Xu, H., & Seppänen, T. (2023). Invasion depth estimation of carcinoma cells using adaptive stain normalization to improve epidermis segmentation accuracy. Computerized Medical Imaging and Graphics, 108, 102276. https://doi.org/10.1016/j.compmedimag.2023.102276 https://doi.org/10.1016/j.compmedimag.2023.102276 Rinnakkaistallennettu versio Hoque, M. Z., Keskinarkaus, A., Nyberg, P., & Seppänen, T. (2024). Transformer-based registration framework for differently stained histopathology image analysis. Manuscript submitted for publication. Academic dissertation to be presented with the assent of the Doctoral Programme Committee of Information Technology and Electrical Engineering of the University of Oulu for public defence in the Wetteri auditorium (IT115), Linnanmaa, on 11 December 2024, at 12 noonAbstract
Medical imaging and image-based computer-assisted tools and techniques promise advances in cancer diagnosis, but there are still many unresolved challenges in technical aspects, data standardization, staining variability, and regulatory and ethical approval. These challenges in clinical medicine and pathology include the need to develop methods that are invariant and insensitive to staining variations. In modern clinical practice, digital pathology is indispensable, facilitating efficient image management and analysis through advanced technology that surpasses traditional optical microscopy methods. Technological advances and a growing emphasis on precision medicine have opened the way for developing methods for quantitative pathology assessments. These include methodologies such as whole slide imaging and artificial intelligence-driven solutions, which enable the exploration and extraction of information beyond the capabilities of human visual perception. This thesis focuses on finding solutions to three research questions by introducing robust algorithms that facilitate stained tissue sample image analysis. The main contributions can be classified into three parts: the first contribution is to solve staining challenges with methods that can quantify individual components of histochemical stains for optimal removal of staining variability. The second contribution is to find solutions for histopathology image registration challenges minimizing the misalignment errors and the risks of inter-laboratory variations. Finally, the third contribution is to optimize and aid staging cancer through nuclei detection and invasion depth estimation with minimal inter-observer and intra-observer variations. The performance evaluations of the proposed methods have been thoroughly performed on eight datasets, and these methods outperform state-of-the-art methods in terms of several performance evaluation metrics. This cancer image analysis research involves the development of advanced algorithms and tools that have far-reaching implications for healthcare and set the stage for more efficient cancer treatment. The findings in this thesis will serve as a basis for further research on the application and interpretability of AI-driven tools in support of digital pathology and computer-aided cancer diagnosis.Tiivistelmä
Lääketieteellinen kuvantaminen ja kuvapohjaiset tietokoneavusteiset työkalut ja tekniikat ovat lupaavia syövän diagnosoinnissa, mutta teknisissä näkökohdissa, datan standardoinnissa sekä sääntely- ja eettisissä hyväksyntäprosesseissa on edelleen monia ratkaisemattomia haasteita. Kliinisen lääketieteen ja patologian haasteisiin kuuluu invarianttien ja epäherkkien menetelmien kehittämisen tarve. Nykyaikaisessa kliinisessä käytännössä digitaalinen patologia on tärkeä, sillä se mahdollistaa tehokkaan kuvien hallinnan ja analysoinnin kehittyneen teknologian avulla, joka ylittää perinteiset optisen mikroskopian menetelmät. Teknologinen kehitys ja kasvava painotus täsmälääketieteeseen ovat mahdollistaneet kvantitatiivisten patologiaan liittyvien menetelmien kehittymistä. Näihin kuuluvat menetelmät, kuten digitaalipatologia ja tekoälyyn perustuvat ratkaisut, jotka mahdollistavat tiedon tutkimisen ja poimimisen tavoilla, joihin ihmisen visuaalinen havainnointikyky ei pysty. Tämä väitöskirja keskittyy löytämään ratkaisuja kolmeen tutkimuskysymykseen, joihin on kehitetty algoritmeja jotka helpottavat värjättyjen kudosnäytteiden kuvien analysointia. Väitöskirjan tärkeimmät panokset voidaan luokitella kolmeen osaan: ensimmäinen osio keskittyy menetelmiin, jotka pystyvät kvantifioimaan histokemiallisten värjäysten yksittäiset komponentit ja helpottamaan värjäysvaihteluiden optimaalista poistamista. Toisessa osiossa etsitään ratkaisuja histopatologian kuvanrekisteröinnin haasteisiin minimoimalla laboratorioiden välisiä vaihteluita ja kohdistusvirheitä. Lopuksi kolmas osio keskittyy optimoimaan syövän luokittelua solujen tumien havaitsemisen ja solujen invaasiosyvyyden mittaamisen avulla. Ehdotettujen menetelmien suorituskykyarvioinnit on suoritettu perusteellisesti kahdeksalla tietojoukolla, ja menetelmämme ylittävät alan huipputekniikat useiden suorituskykymittareiden osalta. Tämä syöpäkuvien analyysitutkimus sisältää kehittyneiden algoritmien ja työkalujen kehittämistä, joilla tulee olemaan laajakantoisia vaikutuksia terveydenhuoltoon ja jotka luovat pohjan tehokkaammalle syövän hoidolle. Väitöskirjassa tehdyt havainnot toimivat perustana jatkotutkimuksille, jotka koskevat tekoälypohjaisten työkalujen soveltamista ja tulkittavuutta digitaalisen patologian ja tietokoneavusteisen syövän diagnostiikan tukena
A Very British History: British Bangladeshis
The Humanities Events, Wolfson College, University of Cambridge organised a live screening, lecture and Q&A with Aminul Hoque of the BBC4 documentary - A Very British History: British Bangladeshi
Developing a culturally responsive pedagogy
In this education conference organised by Haberdashers' Academies Trust South Annual Conference 20th February 2023, Aminul Hoque presents a seminar workshop to teachers and education policy makers on the importance of a culturally responsive pedagogy for students' inclusion
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