ethicalabs/Research-Intent-Collab huggingface dataset:
Non-Human Identity Governance: A Governance Framework for Agentic AI Credentials in Regulated Enterprises

Agentic AI systems do not act through human intent. They act through credentials. Every autonomous AI system that accesses enterprise data, executes transactions, calls external APIs, or communicates with other agents does so through a non-human identity (NHI) — a service account, API credential, OAuth client, machine-to-machine certificate, or equivalent credential artefact. The NHI is the technical instrument through which delegated machine authority is exercised at the execution boundary.  Existing identity governance frameworks were designed for human actors. The Joiner-Mover-Leaver (JML) process, privileged access management (PAM) disciplines, and zero-trust identity architectures address the provisioning, modification, and deprovisioning of human employee accounts. This paper argues that applying human-centric identity governance to agentic AI systems creates three structural gaps that human-centric frameworks are not designed to address: the authority-identity alignment gap, the lifecycle synchronisation gap, and the multi-agent propagation gap.  This paper introduces the NHI Lifecycle Governance Framework as a governance instrument specifically designed for agentic AI credentials. It formalises four governance constructs not present in existing identity or AI governance literature: the NHI as an action capability rather than an identity artefact; privilege drift as an AI-specific governance failure mode distinct from conventional privilege escalation; the orphan NHI as a zero-tolerance governance breach; and inter-agent credential propagation as a governance risk category requiring dedicated controls. It demonstrates that the major existing frameworks — ISO/IEC 27001, NIST AI RMF, APRA CPS 234, and the EU AI Act — do not address NHI governance for agentic AI systems as a distinct discipline. It identifies specific implications for each framework and proposes five governing principles for NHI lifecycle governance in agentic AI environments.  The paper is a companion to Hossain (2026a) and Hossain (2026b), which addressed the portfolio-level and temporal dimensions of machine authority governance. This paper addresses the execution-boundary dimension: the credential infrastructure through which delegated machine authority is exercised, and the governance failures that arise when that infrastructure is governed as if its actors were human.
Long-time error-mitigating simulation of open quantum systems on near term quantum computers

We study an open quantum system simulation on quantum hardware, which demonstrates robustness to hardware errors even with deep circuits containing up to two thousand entangling gates. We simulate two systems of electrons coupled to an infinite thermal bath: 1) a system of dissipative free electrons in a driving electric field; and 2) the thermalization of two interacting electrons in a single orbital in a magnetic field -- the Hubbard atom. These problems are solved using IBM quantum computers, showing no signs of decreasing fidelity at long times. Our results demonstrate that algorithms for simulating open quantum systems are able to far outperform similarly complex non-dissipative algorithms on noisy hardware. Our two examples show promise that the driven-dissipative quantum many-body problem can eventually be solved on quantum computers.
Automating Systematic Literature Reviews with Natural Language Processing and Text Mining: A Systematic Literature Review

Objectives: An SLR is presented focusing on text mining based automation of SLR creation. The present review identifies the objectives of the automation studies and the aspects of those steps that were automated. In so doing, the various ML techniques used, challenges, limitations and scope of further research are explained. Methods: Accessible published literature studies that primarily focus on automation of study selection, study quality assessment, data extraction and data synthesis portions of SLR. Twenty-nine studies were analyzed. Results: This review identifies the objectives of the automation studies, steps within the study selection, study quality assessment, data extraction and data synthesis portions that were automated, the various ML techniques used, challenges, limitations and scope of further research. Discussion: We describe uses of NLP/TM techniques to support increased automation of systematic literature reviews. This area has attracted increase attention in the last decade due to significant gaps in the applicability of TM to automate steps in the SLR process. There are significant gaps in the application of TM and related automation techniques in the areas of data extraction, monitoring, quality assessment and data synthesis. There is thus a need for continued progress in this area, and this is expected to ultimately significantly facilitate the construction of systematic literature reviews.
Governance conundrum in pursuit of the human right to water and sanitation: tracking the progress of the leave-no-one-behind principle in Uganda

Abstract                The Government of Uganda is a party to numerous international and national commitments, laws and regulatory frameworks to deliver the socio-economic transformation of its citizens. Sustainable Development Goals (SDGs) commit states, Uganda inclusive, to achieve a better and more sustainable future for all by 2030. According to the SDG 6 resolutions, the rights to water and sanitation are legally binding upon states, which have the primary responsibility to ensure their full realization, including unserved and under-served areas. While the SDGs came into force after 2015, it is not clear the extent to which Uganda's policies, legal instruments and practice are aligned to the SDGs. A combined methodology was adopted to undertake the study under a cross-sectional design. The study reviewed relevant literature such as sector performance reports on water and sanitation. Purposive sampling was used to select relevant informants for primary data. Key informant interviews were held with representatives of relevant government agencies, United Nations agencies, civil society organisations, indigenous communities and the private sector. Findings indicate that while the Government of Uganda has made tremendous efforts regarding the right to water and sanitation, enormous challenges and gaps remain. For instance, the pro-poor strategies to access safe water, sanitation and hygiene facilities are largely insignificant.
Silver Lining Between Judicial Independence and Judicial Accountability in Judicial Appointments

The silver lining between judicial independence and judicial accountability in judicial appointments is the creation of an independent and transparent process that balances the need for judicial independence with the need for judicial accountability. Such a process would ensure that judges are appointed based on their qualifications and merit, while also providing ongoing evaluation and review of their performance to maintain public confidence in the legal system. This paper neither criticizes NJAC nor supports the current collegium system; rather it attempts to bring out a neutral judicial commission. In that reference, judicial commissions across the world have been examined. Being a developing country, India can learn from the pitfalls in judicial commissions of developed countries.
MIZORAM PEACE ACCORD OF 1986: A POLITICAL ANALYSIS OF CONFLICT RESOLUTION AND PEACE BUILDING

After two decades of insurgency in the area, the Mizoram Peace Accord of 1986 is consideredby many to be one of the most successful attempts at conflict resolution in Indian history. TheJune 30, 1986, agreement between the Government of India and the Mizo National Front(MNF) marked a crucial turning point in Mizoram's political landscape. Political and economicproblems, especially the Government of India's poor response to the Mautam famine in 1959,were the root cause of the struggle, which started in 1966 and gave rise to the MNF underLaldenga. Violent clashes occurred during the insurgency, such as the 1966 Aizawl bombing,which was the first time the Indian Air Force was employed against its own people. Anagreement that guaranteed constitutional protections for Mizo identity, given Mizoram fullstatehood, and made it easier for the MNF to reintegrate politically was the result of protractedpeace talks, especially under Prime Minister Rajiv Gandhi. The success of the pact wasattributed to a number of factors, including the proactive role played by civil society,particularly the Church, in fostering reconciliation. The Mizoram Accord resulted in apermanent settlement, making the state one of the country's most tranquil and politically stableareas. The accord is examined in this paper as a conflict resolution paradigm, emphasizing theimportance of community involvement in peacebuilding, developmental programs, andpolitical negotiation. Mizoram experience provides important lessons for dealing withinsurgencies in other conflict-prone areas by highlighting the significance of economicdevelopment, governance changes, and mutual trust in post-conflict reconstruction.
Deep learning of structural MRI predicts fluid, crystallized, and general intelligence

Can brain structure predict human intelligence? T1-weighted structural brain magnetic resonance images (sMRI) have been correlated with intelligence. However, the population-level association does not fully account for individual variability in intelligence. To address this, studies have emerged recently to predict individual subject's intelligence or neurocognitive scores. However, they are mostly on predicting fluid intelligence (the ability to solve new problems). Studies are lacking to predict crystallized intelligence (the ability to accumulate knowledge) or general intelligence (fluid and crystallized intelligence combined). This study tests whether deep learning of sMRI can predict an individual subject's verbal, comprehensive, and full-scale intelligence quotients (VIQ, PIQ, and FSIQ), which reflect fluid and crystallized intelligence. We performed a comprehensive set of 432 experiments, using different input image channels, six deep learning models, and two outcome settings, in 850 healthy and autistic subjects 6-64 years of age. Our findings indicate a statistically significant potential of T1-weighted sMRI in predicting intelligence, with a Pearson correlation exceeding 0.21 (p < 0.001). Interestingly, we observed that an increase in the complexity of deep learning models does not necessarily translate to higher accuracy in intelligence prediction. The interpretations of our 2D and 3D CNNs, based on GradCAM, align well with the Parieto-Frontal Integration Theory (P-FIT), reinforcing the theory's suggestion that human intelligence is a result of interactions among various brain regions, including the occipital, temporal, parietal, and frontal lobes. These promising results invite further studies and open new questions in the field.
HOME ENTERAL NUTRITION THERAPY: INTERFACE BETWEEN HUMAN RIGHT TO ADEQUATE FOOD AND FOOD SECURITY AND NUTRITION

Home enteral nutrition therapy (HENT) is a form of providing health care and nutrition in the home. It aims to preserve the family ties in association with multidisciplinary care, especially nutrition. HENT is important because it often converges to the principles of food security and nutrition (FSN); because individuals cannot take in food by mouth, they are sometimes affected by the worsening of FSN in their family/household. As feeding has social power and cultural significance, the needs of patients and their families cannot be ignored in situations where the use of HENT is required. Their needs must be fully met, considering the principles encompassed by FSN: quantity, quality, diversity, access to food, on a permanent basis, based on the Human Right to Adequate Food (HRAF) within HENT. DOI: http://dx.doi.org/10.12957/demetra.2014.10345
Effectiveness of Mechanical Design Optimization Using a Human-in-the-Loop Simulator for the Development of a Pediatric Surgical Robot

In pediatric surgery, robotic technology is useful. However, it is difficult to apply this technology due to size-related problems. In our study, we proposed a mechanical design method using a human-in-the-loop type simulator, and the moving volume and invisible area were optimized. We also verified the effectiveness of the optimization of the mechanical parameters by applying the simulator to pediatric surgery. In this experiment, a needle-hooking task was carried out by four subjects with five types of mechanisms using the results of the Pareto optimal solution obtained in the previous research. Moreover, the accuracy of the needle tip manipulation was verified. It was confirmed that the accuracy was higher under the operation of the mechanism that satisfied the Pareto optimal solution in comparison with the other mechanism. As the operation was carried out based on movement in the direction of the arm, the moving volume decreased. Therefore, the accuracy of the hooking was found to improve. It would be useful to optimize the mechanism by verifying the moving volume and invisible area rate for the needle-hooking task. In future work, the optimization of the mechanism for procedures that require both hands will be carried out.
Factors Related to Workplace Well-Being: Occupational Health and Safety of Older Workers in Hong Kong

Abstract                As Hong Kong is undergoing rapid population ageing over the past few decades, and this trend is expected to persist due to low fertility rates and extended life expectancy. This trend has significant implications for Hong Kong’s labor market and workforce. This study aims to gain a better understanding of the experiences, needs, and definitions of older workers in Hong Kong. It helps to draw attention to issues of occupational safety and health (OSH) risks and help identifying and promoting strategies and interventions for effectively supporting the ageing workforce in the workplace. The major objective of this research is to identify the OSH problems and challenges perceived by the older workers, employers and other stakeholders. Both quantitative and qualitative research methods are applied. A qualitative study with focus groups and individual in-depth interviews have been conducted with a representative sample of 70 stakeholders, including employees, employers, representative of labour unions, policymakers, NGO representatives and researchers in the related disciplines. We obtained their views on age-related changes within the older workforce and how such changes would affect their work ability, the OSH issues facing the older workers in different industries, and the facilitators and barriers associated with remaining in or joining the labour force. Feasible intervention strategies for effectively supporting the ageing workforce in the workplace are also being identified.
Research for Society - The New World of Public Engagement, Citizen Science, Community and Civic Action

The talk will begin by looking at why research matters to society. It will look at the invisible (often times digital) forces shaping our daily lives to show how important it is that these are firstly understood and secondly driven in the direction that is best for our world. To look at these forces topics such as Internet of Things, artificial intelligence, new forms of currency among others will feature. The talk will go on to look the role of the citizen in developing this understanding and interrogating the physical and digital world around us.  It will explore how co-creation of research can be facilitated through creative arts practices as well as more traditional research methodologies and understand new forms of civic action that might take place. It will finish by looking at how the library of today and the library of the future sits within this space.
One-Shot Neural Architecture Search via Compressive Sensing

Neural Architecture Search remains a very challenging meta-learning problem. Several recent techniques based on parameter-sharing idea have focused on reducing the NAS running time by leveraging proxy models, leading to architectures with competitive performance compared to those with hand-crafted designs. In this paper, we propose an iterative technique for NAS, inspired by algorithms for learning low-degree sparse Boolean functions. We validate our approach on the DARTs search space (Liu et al., 2018b) and NAS-Bench-201 (Yang et al., 2020). In addition, we provide theoretical analysis via upper bounds on the number of validation error measurements needed for reliable learning, and include ablation studies to further in-depth understanding of our technique.
Emerging Ideas. Advancing Family Science Through Public Scholarship: Fostering Community Relationships and Engaging in Broader Impacts

ObjectiveTo increase the awareness and support for family scientists' engagement in public scholarship.BackgroundWithout appropriate dissemination efforts, important research findings may remain solely in academic journals without reaching the public. Grounded in a social justice perspective, we argue that family scientists are, and should be, on the frontlines of direct social change and activities related to broader impacts.MethodIn this call to action, we articulate the utility and praxis of public scholarship, or the production and dissemination of scientific knowledge for and with communities to create social change for the public good.ResultsAvenues to engaging in public scholarship as a means of disseminating family science research are presented. These avenues include collaborating with individuals who serve in complementary roles, hosting a research press conference to disseminate key findings, and writing for local outlets such as community newspapers. Mechanisms to implement (e.g., resources for developing press releases, infographics, or visual abstracts) and document (e.g., in promotion and tenure materials) these activities are outlined.ConclusionThis information can help academic family scholars achieve broader impacts of their science activities that illustrate the relevance of family science research in people's lives.ImplicationsBy shifting academic cultures and engaging in public scholarship, family scholars can increase their reach and contribute to the enfranchisement of marginalized populations, while also enhancing the visibility of findings, building their scholarly networks, and growing public support for family science.
Protection of unaccompanied minor refugees’ rights in accordance with the Convention on the Rights of the Child

M-DS
365 Dissemination methods to enhance research programs and translational science: Provided by the Wake Forest Clinical and Translational Science Institute (WF CTSI) Dissemination, Implementation, and Continuous Quality Improvement (DICQI) team

Objectives/Goals:                     The WF DICQI team uses targeted messaging across many platforms to inform investigators across the Advocate Health (AH) enterprise of available programs and services, turning research into action. Translational science is valued at Wake Forest University School of Medicine, the academic core of AH.                     Methods/Study Population:                     The DICQI team partners with all Wake Forest CTSI teams to create tailored communication and dissemination plans for their resources and initiatives, designed to help investigators translate research into practice. Participants include program leaders, staff, and high users of CTSI services. Efforts focus on interviewing previous program participants and producing related articles, alongside developing targeted plain language messaging for internal newsletters, social media, and providing customized flyers and email content. This initiative enhances awareness among investigators along with driving engagement and collaboration.                     Results/Anticipated Results:                     These dissemination strategies motive investigators to use CTSI resources and engage in continuous learning. An increase in CTSI service usage is expected after implementing the dissemination plans. Plain language messaging and visually appealing graphics make scientific findings more accessible to a broader audience, so increased engagement on social media is also anticipated. These efforts make it easier for readers to understand research findings, apply them, and encourage collaboration. We will work with more AH centers and programs to create tailored plans and amplify the impact of WF CTSI. We plan to share our approach with other institutions, fostering collaboration nationwide.                     Discussion/Significance of Impact:                     The WF CTSI DICQI’s dissemination efforts are designed to increase awareness and utilization of available resources, which will drive more robust research from investigators, and more engagement from a broader audience, bridging practice–research collaboration across the AH enterprise.
Annex 1: Water-use efficiency on irrigation systems: a review of research carried out under DFID's engineering research programme

Research into water-use efficiency supported by the Department for International Development's Engineering Division is summarised. Technical and physical aspects have been complemented by significant work on the development of improved systems for irrigation planning and management. Related aspects covered include computer software development, gender and socio-economic issues, information dissemination and international collaboration on research.
The “Our Voice” Method: Participatory Action Citizen Science Research to Advance Behavioral Health and Health Equity Outcomes

Citizen science research that more fully engages the community can systematically involve people from under-resourced groups to create practical health-enhancing improvements across physical, social and food environments. Exemplary health equity-focused outcomes include key health behaviors (e.g., healthy eating or physical activity) and community-level changes (e.g., public transit to food shops) that are central to health promotion while being demonstrably impacted by local environmental contexts. Yet, few examples of this approach are readily available for application within complex, community-based settings. In this paper, we present the Our Voice (OV) four-step method to demonstrate an integrated participatory citizen science approach and its usability for action-focused researchers and community health practitioners. In addition, we present a summary of the major research, processes, and community outcomes, with examples drawn from nutrition and healthy food access areas, among others. Finally, we explore the hallmark features of the OV method that effectively engage citizen scientists, empowering action and fostering solution-building across social and environmental structures impacting community health. Expanding research that marries participatory research philosophies with innovative citizen science methods, supported by systematic data collection, visualization, and delivery technologies, in turn provides a powerful toolkit for tackling local to global health equity challenges.