ethicalabs/Research-Intent-Collab huggingface dataset:
DP-CDA: An Algorithm for Enhanced Privacy Preservation in Dataset Synthesis Through Randomized Mixing

In recent years, the growth of data across various sectors, including healthcare, security, finance, and education, has created significant opportunities for analysis and informed decision-making. However, these datasets often contain sensitive and personal information, which raises serious privacy concerns. It has been shown in multiple works that a person's identity is intertwined with their data, even if the data is anonymized. Due to this lack of separation between a person's identity and their information, the patterns associated with an individual's information can uniquely identify them. Protecting individual privacy is crucial, yet many existing machine learning and data publishing algorithms struggle with high-dimensional data, facing challenges related to the trade-off between computational efficiency and privacy. To address these challenges, we introduce an effective data publishing algorithm \emph{DP-CDA}. Our proposed algorithm generates synthetic data by randomly mixing the privacy-sensitive data in a class-specific manner and inducing carefully tuned randomness to ensure formal privacy guarantees. Our comprehensive privacy accounting shows that the proposed DP-CDA provides a stronger privacy guarantee compared to existing methods, allowing for better utility while maintaining a stricter level of privacy. To evaluate the effectiveness of DP-CDA, we examine the accuracy of predictive models trained on the synthetic data, which serves as a measure of dataset utility. Importantly, we identify an optimal order of mixing that balances privacy-utility trade-off. Our results indicate that synthetic datasets produced using the DP-CDA can achieve superior utility compared to those generated by conventional data publishing algorithms, even when subject to the same privacy requirements.
State-adaptive quantum error correction and fault-tolerant quantum computing

We present a theoretical framework for state-adaptive quantum error correction that bridges the gap between quantum computing and error correction paradigms. By incorporating knowledge of quantum states into the error correction process, we establish a new capacity regime governed by quantum mutual information rather than coherent information. This approach reveals a fundamental connection to entanglement-assisted protocols. We demonstrate practical applications in fault-tolerant quantum computation, showing how state-adaptivity enables enhanced error correction without additional measurement overhead. The framework provides insights into quantum channel capacities while offering implementation advantages for current quantum computing platforms.
Intelligent CI/CD Pipeline Optimization Using Machine Learning-Based DevOps Automation

The rapid evolution of software development practices necessitates sophisticated approaches to Continuous Integration and Continuous Deployment (CI/CD) pipeline optimization. This research article presents a comprehensive framework for intelligent CI/CD pipeline optimization leveraging machine learning (ML) techniques within DevOps automation. We propose an integrated architecture that employs predictive analytics, reinforcement learning, and anomaly detection algorithms to dynamically optimize various pipeline stages, including build, test, deployment, and monitoring. Our framework addresses critical challenges such as resource allocation inefficiencies, prolonged build times, and error detection in dynamic CI/CD environments. Through empirical evaluation on three distinct software projects, we demonstrate significant improvements in deployment frequency (up to 40% increase), reduction in build failures (up to 35% decrease), and optimization of resource utilization (up to 30% improvement). The article further examines the integration of this framework with existing DevOps tools and practices, including GitOps methodologies and progressive delivery techniques. Our findings suggest that ML-driven automation represents a paradigm shift in DevOps practices, offering substantial improvements in software delivery velocity, reliability, and operational efficiency. The article concludes with a discussion of implementation challenges, ethical considerations, and future research directions in intelligent CI/CD systems.
A methodological quality review of citations of randomized controlled trials of diabetes type2 in leading clinical practice guidelines and systematic reviews

Evaluate methodological quality of type 2 diabetes RCTs conducted in Iran and cited in clinical practice guidelines and systematic reviews and meta-analyses.We conducted a descriptive methodological quality review, analyzing 286 Randomized Controlled Trials (RCTs) on diabetes mellitus published in Iran from July 2004 to 2021. We searched six databases systematically and evaluated eligible articles using the CONSORT 2010 checklist for abstracts. Two investigators assessed the data using a 17-item checklist derived from CONSORT. Additionally, we examined the citations of each RCT in 260 clinical practice guidelines, with a specific focus on the adequate reporting of outcomes.Out of 6667 articles, 286 analyzed. Poor reporting and failure to meet criteria observed. Only 3.8% cited in guidelines. Reporting rates: primary outcomes (41.9%), randomization (61.8%), trial recruitment (12.6%), blinding (50.8%). 27.9% cited in systematic reviews, 50.34% in systematic reviews and meta-analyses, 26.57% in meta-analyses. 67.8% of papers cited in systematic reviews. Adherence highest for participants, objective, randomization, intervention, outcome; lowest for recruitment, trial design, funding source, harms, and reporting primary outcomes.Poor methodological reporting and adherence to CONSORT checklist in evaluated RCTs, especially in methodological sections. Improvements needed for reliable and applicable results in guidelines, reviews, and meta-analyses. Inadequate outcome reporting challenges researchers, clinicians, and policymakers, impacting evidence-based decision-making. Urgent improvements in RCT registration necessary.
One health systems strengthening in countries: Tripartite tools and approaches at the human-animal-environment interface

Unexpected pathogen transmission between animals, humans and their shared environments can impact all aspects of society. The Tripartite organisations—the Food and Agriculture Organization of the United Nations (FAO), the World Health Organization (WHO), and the World Organisation for Animal Health (WOAH)—have been collaborating for over two decades. The inclusion of the United Nations Environment Program (UNEP) with the Tripartite, forming the ‘Quadripartite’ in 2021, creates a new and important avenue to engage environment sectors in the development of additional tools and resources for One Health coordination and improved health security globally. Beginning formally in 2010, the Tripartite set out strategic directions for the coordination of global activities to address health risks at the human-animal-environment interface. This paper highlights the historical background of this collaboration in the specific area of health security, using country examples to demonstrate lessons learnt and the evolution and pairing of Tripartite programmes and processes to jointly develop and deliver capacity strengthening tools to countries and strengthen performance for iterative evaluations. Evaluation frameworks, such as the International Health Regulations (IHR) Monitoring and Evaluation Framework, the WOAH Performance of Veterinary Services (PVS) Pathway and the FAO multisectoral evaluation tools for epidemiology and surveillance, support a shared global vision for health security, ultimately serving to inform decision making and provide a systematic approach for improved One Health capacity strengthening in countries. Supported by the IHR-PVS National Bridging Workshops and the development of the Tripartite Zoonoses Guide and related operational tools, the Tripartite and now Quadripartite, are working alongside countries to address critical gaps at the human-animal-environment interface.
THE ABROGATION AND RESTORATION OF THE RULE OF LAW AND JUDICIAL INDEPENDENCE IN SOUTH AFRICA

Bizos George. The Abrogation and Restoration of the Rule of Law and Judicial Independence in South Africa. In: Revue Québécoise de droit international, volume 11-2, 1998. Congrès mondial sur la Déclaration universelle des droits de l'homme. Actes, sous la direction de William Schabas et Geneviève Dufour. pp. 155-162.
Direct Deoxydehydration of Cyclic                     <i>trans</i>                     ‐Diol Substrates: An Experimental and Computational Study of the Reaction Mechanism of Vanadium(V)‐based Catalysis**

Abstract                                        The deoxydehydration of carbohydrates represents a key target to leverage renewable biomass resources chemically. Using a vanadium(V)‐based catalyst, it was possible to directly deoxydehydrate cyclic                     trans                     ‐diol substrates. Accompanying mechanistic characterisation of this process by density functional calculations pointed to an energetically tractable route for deoxydehydration of cyclic                     trans                     ‐diol substrates involving stepwise cleavage of the diol C−O bonds via the triplet state; experimentally, this was supported by light dependence of the reaction. Calculations also indicated that cyclic                     cis                     ‐diols and a linear diol substrate could additionally proceed by a concerted singlet DODH mechanism. This work potentially opens a new and cost‐effective way to efficiently convert carbohydrates of                     trans                     ‐diol stereochemistry into alkenes.
Leveraging external data in the analysis of randomized controlled trials: a comparative analysis

The use of patient-level information from previous studies, registries, and other external datasets can support the analysis of single-arm and randomized controlled trials to evaluate and test experimental treatments. However, the integration of external data in the analysis of clinical trials can also compromise the scientific validity of the results due to selection bias, study-to-study differences, unmeasured confounding, and other distortion mechanisms. Therefore, leveraging external data in the analysis of a clinical trial requires the use of appropriate methods that can detect, prevent or mitigate the risks of bias and potential distortion mechanisms. We review several methods that allow investigators to leverage external datasets, such as propensity score procedures and random effects modeling. Different methods present distinct trade-offs between risks and efficiencies. We conduct a comparative analysis of statistical methods to leverage external data and analyze randomized controlled trials. Multiple operating characteristics are discussed, such as the control of false positive results, power, and the bias of the treatment effect estimates, across candidate statistical methods. We compare the statistical methods through a broad set of simulation scenarios. We then compare the methods using a collection of datasets with individual patient-level information from several glioblastoma studies in order to provide recommendations for future glioblastoma trials.
Situating dissemination and implementation sciences within and across the translational research spectrum - ADDENDUM

The efficient and effective movement of research into practice is acknowledged as crucial to improving population health and assuring return on investment in healthcare research. The National Center for Advancing Translational Science which sponsors Clinical and Translational Science Awards (CTSA) recognizes that dissemination and implementation (D&I) sciences have matured over the last 15 years and are central to its goals to shift academic health institutions to better align with this reality. In 2016, the CTSA Collaboration and Engagement Domain Task Force chartered a D&I Science Workgroup to explore the role of D&I sciences across the translational research spectrum. This special communication discusses the conceptual distinctions and purposes of dissemination, implementation, and translational sciences. We propose an integrated framework and provide real-world examples for articulating the role of D&I sciences within and across all of the translational research spectrum. The framework’s major proposition is that it situates D&I sciences as targeted “sub-sciences” of translational science to be used by CTSAs, and others, to identify and investigate coherent strategies for more routinely and proactively accelerating research translation. The framework highlights the importance of D&I thought leaders in extending D&I principles to all research stages.
Genetic testing and genetic discrimination: Public policy when insurance becomes “too expensive”

We examine public policy toward the use of genetic tests by insurers when a positive test makes actuarially fair insurance too expensive for some consumers. With state-dependent utility, consumers may decline actuarially fair insurance if the probability of becoming ill exceeds a threshold. In markets with adverse selection, a positive genetic test may cause all or some high risks to drop out of the market (complete and partial genetic discrimination, respectively). Full participation in the market by all consumers requires cross-subsidization. We show that the consent law and mandatory testing are equivalent. Under complete genetic discrimination, the duty to disclose is never Pareto dominated, but either the code of conduct or consent law can yield the same outcome. Under partial genetic discrimination, the duty to disclose is never Pareto dominated. However, partial genetic discrimination and cross-subsidization imply the information ban is noncomparable to the other policy alternatives.
Overcoming Catastrophic Forgetting in Massively Multilingual Continual Learning

ACL 2023 Findings
Impact of corporate social responsibility (CSR) reporting and communicating on employee commitment: a local Swedish perspective

1992
Food Security and Agricultural Sustainability: A Comparative Multi-Country Assessment of Critical Success Factors

This paper offers an overview of factors that are decisive forproductivity increase in the agricultural sector (bothfarming and agro-food). An attempt is made to explain differences intotal factor productivity in agriculture indifferent countries by means of meta-analysis, in particular, byusing rough set theory as a framework forcomparative study. The main aim is to derive the drivers of changesin agricultural food production with a view toconditional future predictions of an 'if...then' nature. The empiricalapplication to OECD countries is used toillustrate the potential of this new approach for identifyingcritical success factors in agriculture with a view tofuture food security objectives.
Implementation of Pharmaceutical Technical Assistants on Hospital Wards and Their Impact on Patient Safety and Quality of Care: A Qualitative Study on Nurses’ Experiences and Perceptions

Object. To explore nurses’ experiences and perceptions of implementing pharmaceutical technical assistants on hospital wards for medication dispensation. The study focuses on implementation, role development, and impact on safety and quality of care, identifying critical success factors and improvement opportunities. Methods. In a qualitative descriptive study, between December 2022 and March 2023, 16 semistructured interviews were carried out with a stratified purposive sample of nurses across internal, surgical, and geriatric wards. The inclusion criteria required a minimum of six months of work experience and experience working both day and night shifts. Inductive thematic analysis was performed in NVivo 1.6.1. Results. Semistructured interviews revealed three main themes: (1) patient safety and quality of care, (2) organization of care, and (3) role development and collaboration. The implementation of pharmaceutical technical assistants on nursing wards was perceived to reduce the risk of medication errors without compromising care quality, allowing nurses to spend more time on direct patient care. Clear communication procedures were vital for successful implementation, highlighting the need for collaboration and information exchange between pharmaceutical technical assistants and nurses. Continuity in assigning pharmaceutical technical assistants was highlighted as crucial to improve medication safety and quality of care. This is considered an important aspect to ensure a smooth and optimal cooperation between nurses and pharmaceutical technical assistants. Nurses expressed that working with pharmaceutical technical assistants challenged their supervisory role and teamwork dynamics. Conclusions. Nurses confirmed the added value of pharmaceutical technical assistants in medication management. Critical factors included dedicated assignments to hospital wards, clear roles, and mutual expectations in collaboration with ward nurses.
Integrating Generative AI and digital tools to Augment Student Creativity and productivity: A Case Study

Generative AI is changing education. Responses to this change in technology in the classroom include banning AI use, ignoring it, or integrating it. Current discussions emphasize faculty concerns of GAI, including hallucinations and plagiarism. Student surveys conducted during the Fall 2024 semester illustrate that students have many of the same concerns as faculty. Thus, given the exponential pace of AI development and potential use, it is imperative that we expose our students to Generative AI. The goal is to make students aware of how they can use generative AI tools to augment their work and increase their critical thinking while guarding against risks and downsides. We will showcase an assignment from our courses where we incorporated a prompt produced by ChatGPT to create a critical thinking assignment. Our findings support the notion that AI can be harnessed in support of student learning
A synthetic biology toolkit for rationally designing genetic circuits in Acinetobacter baumannii

Introduction                                            Antimicrobial resistance (AMR) poses a severe global health threat, with                       Acinetobacter baumannii                       among the critical AMR priorities highlighted by World Health Organization (WHO). This Gram-negative pathogen exhibits intrinsic resistance traits, exceptional environmental persistence, and high genomic plasticity, harboring resistance islands.                                                                                Methods                                            To combat AMR through synthetic biology, this study characterizes a library of BioBrick parts to be adopted in                       A. baumannii                       engineering and develops a modular CRISPR interference (CRISPRi) platform.                                                                                Results                     Key components were characterized, including two plasmid vectors, a library of inducible and constitutive promoters, and a CRISPRi-mediated repression system; for the latter, a testbed for biofilm-related genes implicated in the downregulation of antibiotic resistance is also provided.                                                           Discussion                                            By enabling tunable transcriptional control through the characterized promoters and ensuring the ability to downregulate gene expression via CRISPRi, this synthetic biology toolkit lays the foundation for the rational design of genetic circuits to study and counteract AMR in                       A. baumannii                       . The modular platform here characterized provides a valuable resource for the iGEM community to advance functional genomic approaches against this alarming global health challenge.
RIGHT TO DISCONNECT AS A CHALLENGE DETERMINED BY THE DIGITISATION OF THE LABOR MARKET -  IMPLICATIONS IN THE CONTEXT OF WORK-LIFE BALANCE

The widespread use of smartphones and other digital devices can create a culture of constant availability for employees and exert pressure on them. . In the context of the Covid-19 pandemic, the issue of distinguishing between work and personal time and the significance of workers' right to disconnect, came to the fore. . The European Parliament's resolution highlights the fundamental right to be offline, which is inextricably linked to new digital age work patterns. Currently, there are no specific legal regulations both at the level of the European Union and Polish law level, regarding this matter. It is the prerogative of employers to introduce in-house regulations defining the rules for contacting an employee outside business hours. The objective of this paper is to provide an overview of the legal framework at the EU and Polish law levels regarding this issue. To achieve the research objective, the paper employs legal interpretation. The authors' considerations lead to the conclusion that the importance of the right to be offline will grow, not only at the level of national laws, but also as initiatives of companies. The aim of establishing a boundary between time spent at work and time spent in private life, resulting from the digitalisation of the labour market, is to achieve a work-life balance for employees. labour. This should translate into productivity and efficiency of their work, which will, at the end of the day, translate into profits for the company.
An exploration of citizen science for population health research in retail food environments

Public engagement is an essential component of public health research, practice, knowledge exchange processes, and decision making. Citizen science was first documented in the early 1900s as an approach to public engagement and there is growing interest in how it can be used in health research. This commentary describes how citizen science approaches were incorporated into a public engagement activity as part of a population health intervention research project on the retail food environment, a workshop we hosted called The Food In This Place in St. John's, Newfoundland and Labrador. We used citizen science methods and approaches to train and support participants to critically analyze a sample of everyday local retail food environments.
Additional file 2 of Comparing quality indicator rates for home care clients receiving palliative and end-of-life care before and during the Covid-19 pandemic

Supplementary Material 2
Mini Review: Molecular Interpretation of the IGF/IGF-1R Axis in Cancer Treatment and Stem Cells-Based Therapy in Regenerative Medicine

In addition to the fundamental role of insulin-like growth factor (IGF)/IGF-1 receptor (IGF-1R) signaling dysregulation in cancer initiation and proliferation, the IGF/IGF-1R signaling also plays an important role in the maintenance of stem cell characteristics and enhancement of stem cell-based therapeutic efficacy. This review focused on the role of IGF/IGF-1R signaling in preclinical IGF-targeted therapies, including IGF-1R monoclonal antibodies, IGF-1R tyrosine kinase inhibitors, and neutralizing antibodies of IGFs in multiple tumors and endocrine disorders. On the other hand, the function of IGF/IGF-1R signaling in stem cell self-renewal, pluripotency and therapeutic efficacy in regenerative medicine was outlined. Finally, the review summarized ongoing studies on IGF/IGF-1R signaling blockade in multiple cancers and highlighted the IGF-1R signaling modifications in stem cells as a potential strategy to improve stem cell-based therapeutics in regenerative medicine.