Digital Commons Network^™

Iterative Design And Implementation Of A Two Semester Pre-Doctoral Fellowship Writing Course For Biomedical Sciences Phd Students, Kathryn Frietze, Brooke Hafer, Isabella Romano

HSC Education Days

No abstract provided.

Designing A Mobile App For Post Traumatic Stress Disorder: Insights From Lived Experience And Clinical Practice, Rohit Shankar, Richard Laugharne, Michael Loizou, Marius Varga, Sivia Lin, Bojana Daw Srdanovic, Roger Farrell

Peninsula Medical School

Post-traumatic stress disorder (PTSD) is a disabling anxiety disorder precipitated by severe trauma. Many people with this condition have little access to clinical interventions, especially in low-middle-income countries. For the development of any digital health intervention, it is vital to know the opinions of PLE and clinicians to guide the developers. We conducted two focus groups, one with clinicians (n = 5) and one with people with lived experience (PLE) (n = 11), to gain knowledge of their views on the development of a PTSD App. Transcripts of both focus groups were coded and thematically analysed. The key themes that …

Best Practice Guidelines For Professional Carers In Emergency Seizure Medication, Rohit Shankar

Peninsula Medical School

No abstract provided.

Prevention Beyond Deterrence, Benjamin A. Barsky

Faculty Scholarship

This Article reconceptualizes preventive justice—the public safety paradigm that seeks to prevent harm before it occurs. Scholars have long documented how cities have advanced this paradigm through largely punitive measures, notably variants of broken windows policing, which posit that aggressive misdemeanor enforcement deters more serious crime. Yet in the aftermath of the 2020 George Floyd protests, and as underscored recently in City of Grants Pass v. Johnson, these measures have faced a legitimacy crisis—prompting calls for nonpunitive responses to nonviolent incidents.

This Article establishes a preventive justice approach that advances health and safety without emphasizing crime deterrence. It draws on …

Under Academic Pressure: Student Mental Health And The Law, Lorenza Zanaga

Florida Atlantic University Undergraduate Law Journal

Mental health has become a significant concern for students in higher education, particularly in demanding programs such as graduate studies, where long hours, heavy workloads, and intense pressure are common occurrences. As more students face burnout, anxiety, and depression, experts have raised an important question: How can schools better support students’ mental health? What legal responsibility do universities and professional schools have to protect students' mental well-being? This article argues that colleges and professional programs should be legally required to support student mental health, as excessive academic workloads can directly harm students. By examining how academic pressure affects students and …

The New York Times Company V. Microsoft Corporation Et Al.: Reforming The Fair Use Doctrine, Riya Dusara

Florida Atlantic University Undergraduate Law Journal

On December 27, 2023, The New York Times filed a complaint against OpenAI, one of the fastest growing artificial intelligence (AI) companies in the world. Due to allegations of copyright infringement, OpenAI, alongside its primary investor, Microsoft, has faced significant backlash in recent years for “stealing” articles from the New York Times. While facing this backlash, OpenAI and Microsoft responded by arguing that their use of the New York Times’ articles falls under fair use. The fair use doctrine, throughout its existence, has been a defining factor in many cases of copyright infringement. However, the doctrine has not yet been …

Seeing Anxiety: Ecological Video Ethnography And Simulation To Understand Anxiety And Decision-Making In Dental Care, Mona Nasser, Hannah Drayson, Sally Hanks, Nicholas Peres, Michael Punt

Peninsula Dental School

BACKGROUND: Dental anxiety is a widespread barrier to care, often contributing to appointment avoidance, treatment disruption, and emotional strain for both patients and clinicians. While extensively studied as a psychological trait, less attention has been paid to how anxiety manifests situationally and relationally, through non-verbal, affective, and spatial cues within clinical encounters. Moreover, in certain contexts, such affective signals can intersect with decision-making processes, shaping how patients interpret, engage with, or withdraw from clinical choices.

OBJECTIVE: To explore how anxiety manifests within the micro-choreography of dental encounters, develop a taxonomy of 'anxious tells', and assess the utility of ecological video …

Beyond Metrics: A Decade Of Building Critical Scholarship At The Interface Of Forest And Society, Muhammad Alif K. Sahide, Nurhady Sirimorok, Micah R. Fisher

Forest and Society

This editorial reflects on the first decade of Forest and Society by examining how scholarly journals can be understood beyond bibliometric indicators and ranking systems. While metrics remain influential in contemporary academic publishing, they offer only a partial account of how knowledge is produced, evaluated, and sustained. Drawing on a decade of editorial practice, the editorial foregrounds the intellectual, pedagogical, and institutional dimensions through which critical scholarship at the interface of forests and society has been cultivated. Beyond its role as a publication outlet, Forest and Society has evolved as part of a broader scholarly community, most notably through the …

The Disenchanted Grove: Postcolonial Modernity And The Decline Of Ri’I Bamboo Governance In Flores, Indonesia, Handoyo Handoyo, Puji Hastuti, Lukas Rumboko Wibowo, Budiyanto Dwi Prasetyo, Surati Surati, Kresno Agus Hendarto, Lila Juniyanti, Dewi Ratna Kurnia Sari, Desmiwati Desmiwati, Sanusi Sanusi, Ane Dwi Septina, Ramawati Ramawati

Forest and Society

This article explores the erosion of ri’i, a traditional ecological governance system practiced by the Ngadha people in Flores, Indonesia, in the face of modernization and postcolonial development. Based on long-term ethnographic fieldwork and interviews with cultural elders, ritual practitioners, and local authorities, the study documents how ri’i—a ritual-based regulatory system for bamboo resource management—has been progressively dismantled through the combined pressures of technocratic governance, land commodification, and shifts toward individualism. Empirically, the main drivers identified are state land certification (including Sertifikat Hak Milik, SHM) and village modernization campaigns, which reconfigure communal tenure and everyday governance practices. Once embedded …

Can We Read Ai’S Mind? A Quest For Transparency, Santhosh Kumar Ravindran, Estera Kot, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

Although Artificial Intelligence (AI) systems are playing an increasing role in critical domains such as healthcare, finance, and autonomous systems, their decision-making processes remain largely opaque. This paper examines the challenges of AI transparency, addressing the “black box” problem using Explainable AI (XAI) techniques such as SHapley Additive exPlanations (SHAP) and Local Interpretable Model-agnostic Explanations (LIME). It also examines the ethical, regulatory, and societal implications of AI opacity and proposes a Comprehensive AI Observability (CAO) Framework that integrates deep explainability, provenance tracking, and real-time monitoring to enhance AI accountability. By bridging technical solutions with governance structures, this research emphasizes the …

Interpretable Machine Learning For In-Home Mild Cognitive Impairment Detection, Budhitama Subagdja, Shanthoshigaa D, Ah-Hwee Tan, Iris Rawtaer

Research Collection School Of Computing and Information Systems

This paper introduces a novel system for in-home cognitive health assessment using ambient sensors and a machine learning technology that can robustly detect mild cognitive impairment (MCI) despite limited available data. The learned model can explain the aspects of individuals’ daily lives led to the prediction, while reliably predicting MCI, providing more insights to healthcare workers for further clinical interventions. We developed the robust transparent machine learning model, based on fusion adaptive resonance theory (Fusion ART) neural network to learn individuals’ daily patterns of activity from continuous sensor data in terms of a suite of digital biomarkers reflecting four key …

Ai Systems For Physicians: A Review From Socio-Technical And Human-Computer Interaction Perspectives, Wu Jiaqi Young, Fiona Fui-Hoon Nah

Research Collection School Of Computing and Information Systems

The adoption of artificial intelligence (AI) in healthcare is accelerating, yet successful implementations of physician-facing AI systems remain limited and uneven. This paper presents a literature review of 40 peer-reviewed studies published between November 2022 and November 2024, spanning clinical, technical, and human-computer interaction (HCI) domains. Anchored in a socio-technical perspective, the review examines our existing understanding of how technical design, user expertise, and organizational factors shape the effectiveness of AI systems in real-world clinical settings. Our analysis identifies two meta-themes: (1) context as a dynamic, multi-level influence that actively reshapes AI system behavior, and (2) trust as an emergent …

A General Algorithm For Assortment Optimization Under Random Utility Choice Models, Tien Mai, Andrea Lodi

Research Collection School Of Computing and Information Systems

This work concerns the assortment optimization problem that refers to selecting a subset of items that maximizes the expected revenue in the presence of the substitution behavior of consumers specified by a random utility choice model. The key challenge lies in the computational difficulty of finding the best subset solution, which often requires exhaustive search. The literature on constrained assortment optimization lacks a practically efficient method that is general to deal with different types of customer choice models (e.g., the multinomial logit, mixed logit or general multivariate extreme value models). In this work, we propose a new approach that allows …

Security-Enhanced Decentralized Conditional Privacy-Preserving Authentication In Vanets, Suqin Luo, Xinghua Li, Yinbin Miao, Xuelin Cao, Zhan Zhang, Yunwei Wang, Deng R.H.

Research Collection School Of Computing and Information Systems

To ensure the legitimacy of communicators while ad dressing the privacy concerns of vehicles in vehicular ad-hoc networks (VANETs), conditional privacy-preserving authentication (CPPA) schemes have been proposed. Given that existing schemes suffer from single point of failure due to centralized authorities, several distributed CPPA schemes have been proposed. However, these schemes all ignore the tight cementation between system secret keys and the authority, which could be a serious threat to system security, that the compromised authority may leak the system secret key. To address these issues, we propose a security enhanced decentralized conditional privacy-preserving authentication (DCPPA) scheme. DCPPA first introduces …

Tempo: Training-Time Equilibration Of Modalities For Per-Sample Optimization In Multimodal Sentiment, Yi Zhao, Erik Cambria, Xiaosong E, Xianxun Zhu

Research Collection School Of Computing and Information Systems

Multimodal sentiment models often become over-reliant on the “easiest” modality (typically text), leading to three coupled sub-problems: (i) representation-level dominance, where weaker modalities contribute little to the fused representation; (ii) optimization-level dominance, where the strongest modality drives most gradient updates and suppresses learning in others; and (iii) robustness degradation, where audio or vision fail under noise or missing inputs at test time. We present TEMPO, a plug-and-play training framework that mitigates these issues by rebalancing learning pressure across modalities while leaving inference unchanged. For each mini-batch, TEMPO estimates relative modality strength and applies two synchronized, training-only controls: selective forward attenuation …

Potent But Stealthy: Rethink Profile Pollution Against Sequential Recommendation Via Bi-Level Constrained Reinforcement Paradigm, Jiajie Su, Zihan Nan, Yunshan Ma, Xiaobo Xia, Xiaohua Feng, Weiming Liu, Xiang Chen, Xiaolin Zheng, Chaochao Chen

Research Collection School Of Computing and Information Systems

Sequential Recommenders, which exploit dynamic user intents through interaction sequences, are vulnerable to adversarial attacks. While existing attacks primarily rely on data poisoning, they require large-scale user access or fake profiles, thus lacking practicality. In this paper, we focus on the Profile Pollution Attack that subtly contaminates partial user interactions to induce targeted mispredictions. Previous PPA methods suffer from two limitations, i.e., i) overreliance on sequence horizon impact restricts fine-grained perturbations on item transitions, and ii) holistic modifications cause detectable distribution shifts. To address these challenges, we propose a constrained reinforcement driven attack CREAT that synergizes a bi-level optimization framework …

Awareness And Decision-Making In Cryptocurrency Investment Among Students In Guwahati: A Comprehensive Study, Rituparna Roy Dr, Anupam Chanda Dr, Bidangsha Basumatary

The Indonesian Capital Market Review

This study investigates the awareness and decision-making processes related to cryptocurrency investment among students in Guwahati, Assam. Cryptocurrency, a form of digital money designed for online transactions without government or bank oversight, has initiated significant shifts in the global financial sector. The decentralization of cryptocurrencies offers transparency, security, and efficiency, challenging traditional financial systems. Despite the growing global interest in cryptocurrencies, their adoption faces barriers such as limited technological expertise, regulatory uncertainty, and security concerns. These issues are particularly pronounced among students, a demographic increasingly interested in digital currencies but often lacking foundational financial knowledge. The research aims to fill …

Identifying Risk-Free Asset Proxies In Companies Listed On The Indonesia Stock Exchange From 2017 To 2023 Using The Zero-Beta Capital Asset Pricing Model, Fajri Alan Ghazali Mr., Lenny Suardi Mrs.

The Indonesian Capital Market Review

This study evaluates Bank Indonesia Certificates (SBI), IndONIA, and gold as zero-beta proxies for Indonesian equities. Using daily returns for 213 firms listed on the Indonesia Stock Exchange (2017–2023) and the Jakarta Composite Index as the market return, we estimate firm-level zero-beta CAPMs and compute Wald statistics test to identify the appropriate risk- free asset proxy for each individual company; and firm-level outcomes are then aggregated under a Bernoulli/Binomial criterion with a 95% threshold. Empirical results show that gold satisfies the zero-beta condition for 207 of 213 firms (97.18%), whereas SBI and IndONIA satisfy it for five (2.35%) and six …

Green Credit, Climate Risk, And Credit Risk In The Indonesian Banking Industry, Titi Dewi Warninda, Shelby Devianty Widodo

The Indonesian Capital Market Review

As the largest archipelagic country, Indonesia's industries and regions are particularly vulnerable to the impacts of climate change. This research examines the effects of green credit policy and climate risk, specifically sea level rise and precipitation, on bank credit risk. Using data from 2019 to 2023 and system GMM, the research results show that the higher the sea level rise and precipitation, the higher the credit risk. The findings of this research also indicate that a higher proportion of green credit lowers bank credit risk, and bank inefficiency strengthens the impact of green credit on credit risk. The results of …

Educational Interventions To Prepare Undergraduate Students For Out-Of-Hours Practice As A Newly Qualified Doctor In The United Kingdom: A Scoping Review, Alex Gordon, Molly Parkinson, Rosanna Watts, Kamal El-Badawi, Erin Dawson, Rohan Chiktara, Lorna Burns, Nicola Brennan

Peninsula Dental School

Background: In the United Kingdom (UK), newly qualified doctors are routinely responsible for out-of-hours (OOH) care, often managing acutely unwell patients with limited supervision. Despite national recommendations encouraging OOH experience during medical school training, there is no formal curriculum for OOH practice. Objectives: This scoping review aimed to identify the range of educational interventions designed to prepare UK medical students for OOH clinical responsibilities and assess their reported effects on perceived and actual preparedness. Methods: Following Joanna Briggs Institute methodology, a systematic search of seven databases and grey literature sources was conducted. Eligible studies involved UK-based medical students and reported …

The Role Of Artificial Intelligence And Virtual Reality In Postgraduate Medical Education, Yasir Hamandi

Iraqi Postgraduate Medical Journal

No abstract provided.

Designing For Trust, Transparency, And Public Understanding: Insights From Paul (The Polling Monitor), Stacia Tipton

Theses and Dissertations

Americans are curious about each other, despite the shouting matches, polarizing news and political ads made to outrage. When given the chance to find out what their fellow citizens think, most people take it. Traditional polling formats, including the industry's routine charts, percentages, findings and crosstabs, report what the public thinks, but they rarely facilitate a conversation or the understanding that might follow. This thesis asks whether better design can change that: can public opinion polling be more than descriptive statistics…. can it facilitate understanding across lines of difference?

Specifically, this project asks whether a better-designed presentation of polling data …

At The Intersection Of Property And Disaster Recovery, Jeanne Ortiz-Ortiz

Faculty Publications

(Excerpt)

When disaster strikes, communities rally to meet urgent, short-term needs—food, shelter, and medical care that keep people alive and safe in the immediate aftermath. For days, we see images of flooded streets, emergency shelters, and calls to support fundraising campaigns in the media cycle. Long-term recovery after a disaster often depends on something less visible: the ability of people, especially those experiencing economic insecurity, to rebuild or return to stable, functional homes.

The outcome of this largely depends on whether families can navigate and access assistance programs like those offered by the Federal Emergency Management Agency (FEMA). Can you …

Angle-Based Formation Stabilization And Maneuvers In Port-Hamiltonian Form With Bearing And Velocity Measurements, Ningbo Li, Pablo Borja, Arjan Van Der Schaft, Jacquelien M.A. Scherpen

School of Engineering, Computing and Mathematics

This paper proposes a port-Hamiltonian approach for angle-based formation stabilization and maneuvers using bearing and velocity measurements with an underlying triangulated Laman graph. The corresponding port-Hamiltonian controller is designed using virtual couplings on the errors of angle constraints in angle space. Then, the angle constraints and agent actuators are mapped by the constraint Jacobian, which can be applied to other formation constraints. In addition, to avoid unavailable distance terms in the control law, an estimator is designed based on port-Hamiltonian theory and the property that energy is coordinate-free for different sensor modalities using bearing and velocity measurements, which permits our …

Understanding The Support And Information Needs Of Family Members After Acquired Brain Injury: A Systematic Review, Craig Andrews, Alyson Norman, Sue Jackson, Mark Holloway

School of Psychology

The aim of this systematic review was to (a) identify the specific information and support needs of family members caring for ABI survivors and (b) assess the effectiveness of current support systems and resources available. A comprehensive search of the literature was carried out, focusing on studies that were published between the years 2000 and 2025. Seventeen studies met the inclusion criteria. The review employed a narrative synthesis approach to collate findings across papers. The analysis identified five key themes: ABI Knowledge, The Strain of Unsupported Transitions, Emotional and Financial Cost, ABI Support Groups, and Supporting Social Connectedness. The findings …

Optimization Of A Group-Based Intervention For People Living With Severe Obesity (Progroup): Understanding Fidelity To Delivery And The Patient Experience, Lily Hawkins, Mark Tarrant, Shokraneh Moghadam, Dawn Swancutt, Rod Sheaff, Laura Hollands, Jonathan Pinkney, Jenny Lloyd

School of Psychology

Objectives: Understanding the fidelity of delivery of complex health behaviour interventions is crucial in determining their effectiveness and identifying aspects needing refinement. PROGROUP is a group-based intervention for people with severe obesity. It aims to promote a shared social identity to support behaviour change. Data from a feasibility randomized controlled trial (fRCT) were used to assess fidelity of intervention delivery and the impact on patient experiences, to optimize the intervention for a main trial. Methods: Data from 18 patient and five facilitator interviews, audio and video data of group sessions, two fidelity checklists, support calls and a group processes questionnaire …

Training Healthcare Professionals To Deliver A Group-Based Intervention For People Living With Severe Obesity: Lessons From The Progroup Feasibility Trial, Shokraneh Moghadam, Mark Tarrant, Lily Hawkins, Dawn Swancutt, Rod Sheaff, Laura Hollands, Raff Calitri, Jonathan Pinkney, Jenny Lloyd

School of Psychology

Introduction: Group-based programmes are increasingly adopted to support people living with obesity, as they have the potential to reduce staff time and costs and enhance motivation and capability for behaviour change. Group-based programmes could also provide members with opportunities to form meaningful social connections. As such, training should equip healthcare professionals to deliver group interventions successfully and be accessible and feasible for them to complete. This study presents how mixed-methods process evaluation data from the feasibility randomised controlled trial of PROGROUP (a group-based weight management intervention for people living with severe obesity) informed optimisation of the PROGROUP training programme. Methods: …

Children And Adults Across 15 Countries Believe In Human Uniqueness Of Mind: A Cross-Cultural Investigation Of Cross-Species Mind Perception, Karri Neldner, Luke Maurits, Magie Junker, Lara Abbas, Nayrouz Abbas, Arianna Abis, Federica Amici, Bernardo Arroyo-Garcia, Negar Asghari, Giovanna Barragán Pardo, Zhen Zhang, Junior Peña Chumacero, Ardain Dzabatou, Dustin Eirdosh, Susan Hanisch, Tom Herrnsdorf, Tom Hovehne, Alicia Junker, Patricia Kanngiesser, Felipe Villa Larens, Safaa Mahmoud, Sandra Masaquiza, Iino Masato, Risma Illa Maulany, Tongtong Meng, Kardelen Mutlu, Putu Oka Ngakan, Ebru Peközer, Ljubica Petrović, Mirella Christy Rehatalanit

School of Psychology

The way humans relate to other animals is fundamentally shaped by whether we perceive ourselves as unique, with feelings and thoughts not shared by other animals. How beliefs about animals’ ability to feel and think develop across cultures remains largely unexplored. We asked children and adolescents (4–17 years, N = 1025) and adults (N = 190) from 33 urban and rural communities across 15 countries whether animals have thoughts or feelings (judgments of presence), and whether those thoughts or feelings are human-like (judgments of similarity). Bayesian analyses revealed that participants generally ascribed non-human animals the ability for thoughts and feelings. …

“The True Me”: Unravelling The Dual Narrative Of Borderline Personality Disorder And Autistic Spectrum Disorder, Robin Iliffe-Lewis, Alison Bacon

School of Psychology

Objectives: There is growing recognition that some individuals who receive a diagnosis of Borderline Personality Disorder (BPD) are later diagnosed with autism. However, existing literature on this topic remains limited. This study aimed to explore the experiences of individuals diagnosed with BPD prior to autism, how they made sense of these diagnoses, navigated clinical systems, and learnt to manage the complex challenges associated with this diagnostic sequence.Methods: Thirteen (6 male, 6 female, 1 non-binary) adult participants took part in semi-structured interviews exploring their diagnostic journeys. Reflexive thematic analysis was used to develop a nuanced understanding of their experiences.Results: Three themes …

Integrating Neuroscience And Social Psychology In Researching Interprofessional Education: The Inspire Framework, Kimberley Schenke, Pamela Rae, Jaysan Charlesford, Phil Gee

School of Psychology

There is an increasing focus on the importance of interprofessional education as an integral part of health and social care training. However, the fundamental psychological processes underlying successful interprofessional education are not well understood. Here we propose a single framework, Integrating Neuroscience and Social Psychology In Researching Interprofessional Education (INSPIRE), grounded in evidence from social psychology and neuroscience that could be used to generate testable hypotheses to inform the design, development and evaluation of interprofessional education. The application of this framework offers a novel, scientifically grounded approach to improving the learning outcomes of interprofessional education and provides a foundation for …