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    FinTech and sustainable development: A systematic thematic analysis using human- and machine-generated processing
    (Elsevier Inc, 2024-10-01) Hasan M; Hoque A; Abedin MZ; Gasbarro D
    We conducted a systematic literature review (SLR) by integrating FinTech with the the United Nations' (UN) Sustainable Development Goals (SDGs). By focusing on three dimensions (inclusive finance, economy, and environment), we identify how FinTech may influence sustainable development. We innovate using human- and machine-generated processing to develop themes, making systematic literature reviews more objective and advancing replicability and reproducibility. This study demonstrates the contribution of FinTech in expanding the investment opportunity set by including environmental projects and increasing the diversity and participation rates of savers and lenders. Through this process, FinTech increases its market completeness. Accordingly, FinTech can increase economic growth by achieving higher productivity and sustainable growth through diversification, technological upgrades, entrepreneurship, creativity, and innovation. Additionally, FinTech can accelerate investments in poverty eradication and reduce income inequality. These contributions are aligned with specific SDGs and show that FinTech is an appropriate new technology for financial services.
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    Corporate Social Responsibility Programs and Community Perceptions of Societal Progress in Bangladesh: A Multimethod Approach
    (SAGE Publications Inc, 2020-05-21) Mahmud A; Ding D; Kiani A; Hasan MM
    Grounded on stakeholder theory and contemporary corporate social responsibility (CSR) literature, this study aims to investigate the broad categories of CSR programs (CSRPs) of scheduled banks and nonbanking financial institutions of Bangladesh Bank (the central bank of Bangladesh). This study also attempts to build the relationship between CSRPs and community perceptions of societal progress. Qualitative and quantitative methods were used to analyze the data collected from primary and secondary sources. The findings of this study show that CSRPs positively influence community perceptions of societal progress. The results of this study will have significant practical implications on societal progress and future research on CSR and community development.
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    Hope and its Applications: A Scoping Review
    (University of Wollongong, 2025-12-19) Khoo E; Beban A; Mouat C; Kennedy K
    Despite a growing recognition and empirical base on hope and its value in educational contexts, there has been limited research into hope and hope-related strategies for transforming higher education (HE) teaching and learning practices. We report on a scoping review to uncover current perspectives of hope as contemplated and applied in contemporary HE teaching-learning contexts. Our study draws from six databases (A+ Education, ERIC, Education Source, Education Research Complete, PsychINFO, and Scopus) and thematically analysed 16 studies across the last decade to understand their context, theoretical framing, and practice-based orientations. Our findings highlight the range, use, and value of research into hope expressed as a multidimensional construct and variously understood through individual, sociocultural, and critical perspectives. While many studies adopt an individual view of hope as a measurable trait linked to student wellbeing and academic success, others emphasise relational, collective and community-based approaches, or frame hope as a transformative, collective force for social and political change. Each perspective engendered associated hope-based practices ranging from goal-setting, mindfulness training, dialogic and caring relationships with educators and students to cultivating possible education futures and justice-oriented teaching. We argue that this diversity reflects both the richness and the generative tensions that are thinly understood within current hope scholarship. Our findings contribute to the interdisciplinary, institutional planning and development of hope-based curricula and approaches and have implications for HE practice and the scholarship of hope.
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    Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis
    (SAGE Publications on behalf of the Association for Academic Pathology, 2022-03-28) Wei B-R; Halsey CH; Hoover SB; Puri M; Yang HH; Gallas BD; Lee MP; Chen W; Durham AC; Dwyer JE; Sánchez MD; Traslavina RP; Frank C; Bradley C; McGill LD; Esplin DG; Schaffer PA; Cramer SD; Lyle LT; Beck J; Buza E; Gong Q; Hewitt SM; Simpson RM
    Validating digital pathology as substitute for conventional microscopy in diagnosis remains a priority to assure effectiveness. Intermodality concordance studies typically focus on achieving the same diagnosis by digital display of whole slide images and conventional microscopy. Assessment of discrete histological features in whole slide images, such as mitotic figures, has not been thoroughly evaluated in diagnostic practice. To further gauge the interchangeability of conventional microscopy with digital display for primary diagnosis, 12 pathologists examined 113 canine naturally occurring mucosal melanomas exhibiting a wide range of mitotic activity. Design reflected diverse diagnostic settings and investigated independent location, interpretation, and enumeration of mitotic figures. Intermodality agreement was assessed employing conventional microscopy (CM40×), and whole slide image specimens scanned at 20× (WSI20×) and at 40× (WSI40×) objective magnifications. An aggregate 1647 mitotic figure count observations were available from conventional microscopy and whole slide images for comparison. The intraobserver concordance rate of paired observations was 0.785 to 0.801; interobserver rate was 0.784 to 0.794. Correlation coefficients between the 2 digital modes, and as compared to conventional microscopy, were similar and suggest noninferiority among modalities, including whole slide image acquired at lower 20× resolution. As mitotic figure counts serve for prognostic grading of several tumor types, including melanoma, 6 of 8 pathologists retrospectively predicted survival prognosis using whole slide images, compared to 9 of 10 by conventional microscopy, a first evaluation of whole slide image for mitotic figure prognostic grading. This study demonstrated agreement of replicate reads obtained across conventional microscopy and whole slide images. Hence, quantifying mitotic figures served as surrogate histological feature with which to further credential the interchangeability of whole slide images for primary diagnosis.
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    Agreement in Histological Assessment of Mitotic Activity Between Microscopy and Digital Whole Slide Images Informs Conversion for Clinical Diagnosis
    (SAGE Publications on behalf of the Association for Academic Pathology, 2022-03-28) Wei B-R; Halsey CH; Hoover SB; Puri M; Yang HH; Gallas BD; Lee MP; Chen W; Durham AC; Dwyer JE; Sánchez MD; Traslavina RP; Frank C; Bradley C; McGill LD; Esplin DG; Schaffer PA; Cramer SD; Lyle LT; Beck J; Buza E; Gong Q; Hewitt SM; Simpson RM
    Validating digital pathology as substitute for conventional microscopy in diagnosis remains a priority to assure effectiveness. Intermodality concordance studies typically focus on achieving the same diagnosis by digital display of whole slide images and conventional microscopy. Assessment of discrete histological features in whole slide images, such as mitotic figures, has not been thoroughly evaluated in diagnostic practice. To further gauge the interchangeability of conventional microscopy with digital display for primary diagnosis, 12 pathologists examined 113 canine naturally occurring mucosal melanomas exhibiting a wide range of mitotic activity. Design reflected diverse diagnostic settings and investigated independent location, interpretation, and enumeration of mitotic figures. Intermodality agreement was assessed employing conventional microscopy (CM40×), and whole slide image specimens scanned at 20× (WSI20×) and at 40× (WSI40×) objective magnifications. An aggregate 1647 mitotic figure count observations were available from conventional microscopy and whole slide images for comparison. The intraobserver concordance rate of paired observations was 0.785 to 0.801; interobserver rate was 0.784 to 0.794. Correlation coefficients between the 2 digital modes, and as compared to conventional microscopy, were similar and suggest noninferiority among modalities, including whole slide image acquired at lower 20× resolution. As mitotic figure counts serve for prognostic grading of several tumor types, including melanoma, 6 of 8 pathologists retrospectively predicted survival prognosis using whole slide images, compared to 9 of 10 by conventional microscopy, a first evaluation of whole slide image for mitotic figure prognostic grading. This study demonstrated agreement of replicate reads obtained across conventional microscopy and whole slide images. Hence, quantifying mitotic figures served as surrogate histological feature with which to further credential the interchangeability of whole slide images for primary diagnosis.
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    Performance of Socially Responsible Investment Funds in China: A Comparison with Traditional Funds
    (MDPI (Basel, Switzerland), 2022-02-01) Saci F; Jasimuddin SM; Hasan M; Pérez A
    This paper empirically examines and compares social responsibility investment funds to traditional funds, and explores the performance of the existing social responsibility investment funds in China. Based on 64 social responsibility investment funds (SRI Funds) and 64 traditional funds, this paper extracts the data of the sample fund from the fourth quarter of 2016 to the fourth quarter of 2019 as sample data to conduct a comparative analysis of the difference between the SRI fund and the traditional fund in terms of return and risk, and to then empirically study the performance of the funds. The results show that the difference between the return of China’s socially responsible investment funds and the traditional funds is insignificant, and the risk of socially responsible investment funds is significantly lower than that of traditional funds. The regression analysis is also carried out on a model of social responsibility as a factor affecting the performance of the funds. Subsequently, the results show that social responsibility has a significant positive impact on the fund’s return in the Chinese market.
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    Big Data-Driven Banking Operations: Opportunities, Challenges, and Data Security Perspectives
    (MDPI (Basel, Switzerland), 2023-09-01) Hasan M; Hoque A; Le T; Roubaud D
    At present, with the rise of information technology revolution, such as mobile internet, cloud computing, big data, machine learning, artificial intelligence, and the Internet of Things, the banking industry is ushering in new opportunities and encountering severe challenges. This inspired us to develop the following research concepts to study how data innovation impacts banking. We used qualitative research methods (systematic and bibliometric reviews) to examine research articles obtained from the Web of Science and SCOPUS databases to achieve our research goals. The findings show that data innovation creates opportunities for a well-developed banking supply chain, effective risk management and financial fraud detection, banking customer analytics, and bank decision-making. Also, data-driven banking faces some challenges, such as the availability of more data increasing the complexity of service management and creating fierce competition, the lack of professional data analysts, and data costs. This study also finds that banking security is one of the most important issues; thus, banks need to respond to external and internal cyberattacks and manage vulnerabilities.
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    Regional Development of China’s Inclusive Finance Through Financial Technology
    (SAGE Publications Inc, 2020-02-05) Hasan MM; Yajuan L; Mahmud A
    Financial technology, commonly used the term as FinTech, is a key emerging driver of inclusive finance. This is also one of the emerging issues of finance as well as financial research. This research is done with the purpose of showing the present status of China’s FinTech in inclusive finance development. In addition, the study raises regional disparity and critical issues related to the inclusive development. A secondary data analysis methods are systematically carried out to demonstrate the present situation of internet finance in the development of inclusive finance in China, as well as the developing status of different provinces through internet finance. The ultimate finding of this research is that, despite significant development in China’s financial system, there is still a development inequality between the most and least developed regions. This study also identifies some important issues that should be taken care of by the policy makers. This research is done from authentic data also sources with appropriate explanations, which help the readers, academicians, researchers, and others to get comprehensive understanding of China’s FinTech and its influence on inclusive development.
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    Seasonal Effects and Heritability of Litter Size at Birth and Weaning in Commercial Rabbits in Central Mexico (2015–2021)
    (MDPI (Basel, Switzerland), 2025-11-01) Parra-Bracamonte GM; Becerril-Martínez L; Sánchez-Dávila F; Esparza-Jiménez S; Albarrán-Portillo B; García-Martínez A; López-Villalobos N; Vázquez-Armijo JF; Mancini S
    Reproductive performance in rabbits is highly sensitive to seasonal environmental variation and management practices, while the proportion of variance attributable to additive genetics for litter-level traits is typically low. The objective of this study was to evaluate the effects of year and season on litter size at birth (BR), litter size at weaning (WR), and weaning rate (WT), and to estimate the heritability of these traits in a commercial rabbit farm. A total of 770 kindling events recorded between 2015 and 2021 were analyzed. The mixed model for BR included the fixed effects of year and season, and the random effects of sire and residual error. The model for WR included the same structure, with BR added as a covariate. Least-squares means for fixed effects were used for pairwise comparisons using Tukey’s test. Year and season effects were significant for BR (p < 0.005), and the year effect was also significant for WR (p < 0.021). Litter size at birth ranged from 7.80 (dry season) to 9.21 (year 2020), with higher means observed during the semi-dry (8.52) and humid (8.56) seasons compared to the dry season (7.80). Litter size at weaning varied between 4.65 and 5.81 kits depending on the year. Weaning rate showed interannual variation (56.1–68.2%), but seasonal differences did not reach statistical significance (p < 0.075). Heritability estimates from the sire variance component were low: 0.01 for BR, 0.04 for WR, and 0.05 for WT. These results indicate that phenotypic variation in prolificacy in this population was predominantly driven by interannual and seasonal environmental factors, as well as perinatal management practices, while the additive genetic contribution was marginal.
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    Mathematical models of the colonic microbiota: an evaluation of accuracy using in vitro fecal fermentation data
    (Frontiers Media S A, 2025-09-25) Geniselli da Silva V; Smith NW; Mullaney JA; Roy NC; Wall C; McNabb WC; Huang H
    Traditional approaches for studying diet-colonic microbiota interactions are time-consuming, resource-intensive, and often hindered by technical and ethical concerns. Metagenome-scale community metabolic models show promise as complementary tools to overcome these limitations. However, their experimental validation is challenging, and their accuracy in predicting colonic microbial function under realistic dietary conditions remains unclear. This study assessed the accuracy of the Microbial Community model (MICOM) in predicting major short-chain fatty acid (SCFA) production by the colonic microbiota of weaning infants, using fecal samples as a proxy. Model predictions were compared with experimental SCFA production using in vitro fecal fermentation data at the genus level. The model exhibited overall poor accuracy, with only a weak, significant correlation between measured and predicted acetate production (r = 0.17, p = 0.03). However, agreement between predicted and measured SCFA production improved for samples primarily composed of plant-based foods: acetate exhibited a moderate positive correlation (r = 0.31, p = 0.005), and butyrate a trend toward a weak positive correlation (r = 0.21, p = 0.06). These findings suggest that the model is better suited for predicting the influence of complex carbohydrates on the colonic microbiota than for other dietary compounds. Our study demonstrates that, given current limitations, modeling approaches for diet-colonic microbiota interactions should complement rather than replace traditional experimental methods. Further refinement of computational models for microbial communities is essential to advance research on dietary compound-colonic microbiota interactions in weaning infants.