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    Real-Time Recognition of NZ Sign Language Alphabets by Optimal Use of Machine Learning

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    The acquisition of a person’s first language is one of their greatest accomplishments. Nevertheless, being fluent in sign language presents challenges for many deaf students who rely on it for communication. Effective communication is essential for both personal and professional interactions and is critical for community engagement. However, the lack of a mutually understood language can be a significant barrier. Estimates indicate that a large portion of New Zealand’s disability population is deaf, with an educational approach predominantly focused on oralism, emphasizing spoken language. This makes it essential to bridge the communication gap between the general public and individuals with speech difficulties. The aim of this project is to develop an application that systematically cycles through each letter and number in New Zealand Sign Language (NZSL), assessing the user’s proficiency. This research investigates various machine learning methods for hand gesture recognition, with a focus on landmark detection. In computer vision, identifying specific points on an object—such as distinct hand landmarks—is a standard approach for feature extraction. Evaluation of this system has been performed using machine learning techniques, including Random Forest (RF) Classifier, k-Nearest Neighbours (KNN), AdaBoost (AB), Naïve Bayes (NB), Support Vector Machine (SVM), Decision Trees (DT), and Logistic Regression (LR). The dataset used for model training and testing consists of approximately 100,000 hand gesture expressions, formatted into a CSV dataset for model training

    Adult Suicidality and Therapeutic Engagement:A Systematic Review

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    BACKGROUND: Engagement in mental health care among adults with suicidality remains significantly low, with limited understanding of the factors influencing treatment retention and dropout.AIMS: Exploring the factors influencing therapeutic engagement, such as attendance, active participation and completion of therapeutic tasks among adults with suicidality, could offer valuable insights for suicide prevention and management.METHODS: This systematic review explored quantitative and qualitative studies examining barriers and/or facilitators to treatment engagement. Four main databases have been explored (PubMed, Embase, PsycInfo and Web of Science). Data were analysed and thematically organised with the help of a content analysis.RESULTS: Eighteen studies focusing on adults experiencing various forms of suicidality, including suicidal ideation, behaviours, plans and attempts, have been included. Engagement is mainly perceived through appointment attendance, active participation or a multidimensional combination of factors. Logistical constraints (service availability, time and money) emerge as the most significant barrier to engagement, followed by stigma, treatment-related experiences and beliefs and patient perception factors. No consensus between studies can be isolated regarding the impact of social support, severity of suicidal symptoms and psychiatric comorbidities. Trust in mental health professionals and interventions facilitating active patient participation positively influence treatment continuation.CONCLUSION: This review highlights the need to increase mental health funding to enhance service availability and improve the training of mental health professionals in suicide prevention and management. Developing integrative and empowering interventions fosters an essential climate of trust and hope in therapy that enhances engagement. Future research should prioritise study designs that distinguish between perceived and actual barriers to engagement to develop targeted interventions.</p

    ‘Bangladeshis in London and Tower Hamlets: Community Activism and the Local State’

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    A chapter in J. Duerrschmidt, M. Caselli and J. Eade (2024), Migrants’ (Im)mobilities in European Urban Contexts: Global Pandemic and Beyond, Palgrave Macmillan. The chapter introduces the London borough of Tower Hamlets and its Bangladeshi population before describing the Covid 19 timeline and its differential impact in the UK and on the Bangladeshi residents in Tower Hamlets. The focus then shifts to the role played by Bangladeshi 'Covid Champions', community centres and political activists, the vaccination campaign from late 2020, economic considerations, family dynamics and generation, state regulations and Muslim funerals, middle class residents in the borough before ending with the conclusion.<br/

    <i>On the Very Edge: Bidentities in Michelle Cliff's Fiction</i>

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    The Ethics of Deferred Prosecution Agreements for MNEs Culpable of Foreign Corruption: Relativistic Pragmatism or Devil’s Pact?

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    © 2024, [Cambridge University Press]. This is an author produced version of a paper published in Business Ethics Quarterly uploaded in accordance with the publisher’s self- archiving policy. The final published version (version of record) is available online at the link. Some minor differences between this version and the final published version may remain. We suggest you refer to the final published version should you wish to cite from it. Deferred prosecution agreements (DPAs) are legal means, alternative to trial, for the resolution of criminal business cases. Although DPAs are increasingly used in the US and are spreading to other jurisdictions, the ethics of DPAs has hardly been subjected to critical scrutiny. We use a multidisciplinary approach straddling the line between philosophy and law to examine the ethics of DPAs used to resolve cases of multinational enterprises’ (MNEs) foreign corruption. Deontologically, we argue that the normativity of DPAs raises critical concerns related to the notion of justice as punishment, with serious cases of international corruption resolved with minimal retribution for offending MNEs. Taking a utilitarian ethical perspective, we also evaluate the effect of DPAs on MNEs’ tendency to self-regulate or re-offend. Our conclusion, supported by critical analysis of the juridical literature and case evidence on MNEs’ recidivism, is that DPAs do not foster ethical behavior

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