ethicalabs/Research-Intent-Collab huggingface dataset:
EXPLORING AI-GENERATED VISUAL THEMES IN ASIAN ART AS A FOUNDATION FOR ADVANCING DIGITAL ART RESEARCH

This study aims to analyze emerging trends, and visual themes present in AI generated artworks across Asia by employing Descriptive, Predictive, and Prescriptive Analytics using the Tableau platform. The dataset utilized in this research comprises 10,000 AI generated image entries, focusing specifically on attributes such as digital art genre, production time, and Asian regional context. Through comprehensive analytical stages, the study examines how AI models construct visual styles, reinterpret artistic traditions, and synthesize cultural elements within the broader landscape of contemporary digital art. The primary challenge addressed in this research concerns the difficulty of identifying promising digital art genres for further exploration. This complexity arises from the increasingly diverse stylistic variations, the continuous evolution of visual themes, and the limitations in categorizing AI generated artworks that blend multiple genres or introduce novel styles that lack clear definition. To address these challenges, the methodological framework consists of four major stages: data acquisition and preprocessing using publicly available datasets, feature extraction and exploratory data analysis to uncover meaningful patterns and genre distributions, predictive and prescriptive analytics to determine potential genre trajectories and provide actionable recommendations and validation and interpretation to ensure analytical robustness and contextual relevance. The findings highlight the importance of sustained thematic innovation, deeper exploration of visual styles, and deliberate integration of localized cultural motifs to ensure that AI generated art remains relevant, competitive, and culturally grounded within Asian markets. Furthermore, strategic recommendations are formulated for each identified genre category to enhance artistic quality and strengthen the market positioning of AI generated digital artworks. This research is expected to contribute significantly to the advancement of AI driven artistic production in Asia by offering insights that are technical, aesthetic, and cultural in nature, ultimately supporting the development of more informed, sustainable, and contextually responsive digital art practices.
Citation and credit: The role of researchers, journals, and repositories to ensure data, software and samples are linked to publications with proper attribution.&amp;#160;&amp;#160;

&amp;lt;p&amp;gt;The Earth, space, and environmental sciences have made significant progress in awareness and implementation of policy and practice around the sharing of data, software, and samples.&amp;amp;#160; In specific, the Coalition for Publishing Data in the Earth and Space Sciences (https://copdess.org/) brings together data repositories and journals to discuss and address common challenges in support of more transparent and discoverable research and the supporting data.&amp;amp;#160; Since the inception of COPDESS in 2014 and the completion of the Enabling FAIR Data Project in 2019, work has continued on the improvement of availability statements for data and software as well as corresponding citations.&amp;amp;#160;&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;As the broad research community continues to make progress around data and software management and sharing, COPDESS is focused on several key efforts. These include 1) supporting authors in identifying the most appropriate data repository for preservation, 2) validating that all manuscripts have data and software availability statements, 3) ensuring data and software citations are properly included and linked to the publication to support credit, 4) encouraging adoption of best practices.&amp;amp;#160;&amp;lt;/p&amp;gt;&amp;lt;p&amp;gt;We will review the status of these current efforts around data and software sharing, the important role that repositories and researchers have to ensure that automated credit and attribution elements are in place, and the recent publications on software citation guidance from the FORCE11 Software Implementation Working Group.&amp;lt;/p&amp;gt;
Strengthening scientific literacy on reactor physics and neutron application through Nuclear School

identifier:oai:t2r2.star.titech.ac.jp:50398267
Clover: Towards A Unified Video-Language Alignment and Fusion Model

Building a universal Video-Language model for solving various video understanding tasks (\emph{e.g.}, text-video retrieval, video question answering) is an open challenge to the machine learning field. Towards this goal, most recent works build the model by stacking uni-modal and cross-modal feature encoders and train it with pair-wise contrastive pre-text tasks. Though offering attractive generality, the resulted models have to compromise between efficiency and performance. They mostly adopt different architectures to deal with different downstream tasks. We find this is because the pair-wise training cannot well \emph{align} and \emph{fuse} features from different modalities. We then introduce \textbf{Clover}\textemdash a Correlated Video-Language pre-training method\textemdash towards a universal Video-Language model for solving multiple video understanding tasks with neither performance nor efficiency compromise. It improves cross-modal feature alignment and fusion via a novel tri-modal alignment pre-training task. Additionally, we propose to enhance the tri-modal alignment via incorporating learning from semantic masked samples and a new pair-wise ranking loss. Clover establishes new state-of-the-arts on multiple downstream tasks, including three retrieval tasks for both zero-shot and fine-tuning settings, and eight video question answering tasks. Codes and pre-trained models will be released at \url{https://github.com/LeeYN-43/Clover}.
Physiologically Based Pharmacokinetic Modeling of Drug Transporters to Facilitate Individualized Dose Prediction

Physiologically based pharmacokinetic modeling is a commonly used strategy in the drug development and regulatory submissions. This commentary provides a critical overview of the current status of physiologically based pharmacokinetic methodologies to predict transporter-mediated pharmacokinetics, in addition to the impact of disease and genetics with respect to local and systemic concentration.
Evidence Synthesis and Mechanism Analysis of Quercetin Treatment for Atherosclerosis: A Preclinical Systematic Review and Meta-Analysis

Atherosclerosis seriously endangers human health. Quercetin has drawn attention for its potential anti-atherosclerotic pharmacological effects. This study aimed to comprehensively assess quercetin’s effect and potential mechanism in treating atherosclerosis through a systematic review and meta-analysis. Preclinical studies published before 20 January 2025 were searched for in databases including PubMed, Embase, Web of Science, CNKI, Wanfang, and VIP. The CAMARADES list was used to assess the quality of the included studies. Stata 12 was applied for overall effect, sensitivity, subgroup, and publication bias analyses. Time–dose interval analyses were conducted to explore how quercetin dose and dosing cycle affect intervention effects. Finally, trial sequential analyses were performed using TSA 0.9 software. A total of 22 studies involving 421 animals were included, with a mean methodological quality score of 7.73/10. Meta-analysis showed that relative to the control group, quercetin reduced aortic plaque area, adjusted lipids (lowered TC, TG, and LDL-C and raised HDL-C), downregulated adhesion factors (e.g., VCAM-1) and pro-inflammatory factors (e.g., IL-1β and IL-6), upregulated anti-inflammatory factor IL-10 and antioxidant enzymes (SOD, CAT) while decreasing MDA content, and regulated atherosclerosis-related targets (e.g., LXRα, SIRT1, and mTOR). Subgroup analyses found model establishment time and quercetin administration time affected aortic lesion areas, TC, and TG. Time–dose analysis indicated quercetin had better ameliorative effects on atherosclerosis at 25–100 mg/kg with an 8–10-week intervention. Quercetin significantly improves atherosclerosis and inhibits its occurrence and progression through multiple pathways, such as regulating lipid metabolism, anti-inflammatory effects, and counteracting oxidative stress. Based on current evidence, quercetin is a potential therapeutic agent for treating atherosclerosis.
Artificial Intelligence in General Context (AIGC) Technology's Impact on Higher Education Pedagogical Content Knowledge (PCK) Teaching

This study explores the potential of Artificial Intelligence in General Context (AIGC) technology in Pedagogical Content Knowledge (PCK) teaching within higher education, particularly in biochemistry courses. The research highlights the effectiveness of AIGC technology in creating personalized learning experiences, providing targeted interventions, and enhancing student engagement. It emphasizes the importance of recognizing the value of AIGC technology in addressing diverse student needs and supporting tailored instruction. While acknowledging its promising prospects, the study also underscores the need to address ethical, accessibility, and pedagogical challenges associated with its application. Looking ahead, the research recommends further exploration of innovative ways to leverage AIGC technology to personalize learning experiences and promote inclusive education. The study emphasizes the necessity of developing best practices for the ethical and responsible use of AIGC technology to maximize its potential benefits in PCK teaching.
New design approaches to repurposing open educational resources for collaborative learning using mediating artefacts

In spite of high expectations and the support given by prestigious funding and educational institutions, Open Educational Resources (OER) have not been adopted widely by teachers and learners in practice. From a cultural historical activity theory perspective, we argue that Mediating Artefacts (MA) such as OER learning design visual representations and rich narrative pedagogical patterns may enable a more effective OER cycle of creation, design, use and evaluation. More specifically, two main arguments are analysed in this paper: first, that making the inherent design of OER more explicit will make them more understandable and hence reusable; second, that offering a small set of simple patterns will encourage new ways to interpret OER and inspire re-purposing in new challenging contexts. A series of successful workshops was carried out and qualitative data gathered which provide initial evidence that a set of CSCL pedagogical patterns were found very suitable in order to repurpose resources intended for individual use and adjust the focus to make them suit new collaborative learning contexts. Interpretation of the data will form the basis for further workshops that aim to extend the idea of using targeted mediating artefacts to guide the design and repurposing of OER.
Developing a Climate Litigation Framework: China’s Contribution to International Environmental Law

Although "climate litigation" is not an indigenous term in China, localizing it is essential to support the development of an independent environmental legal knowledge system in China. Rooted in China's judicial tradition, which emphasizes substantive rationality, traditional legal theories have primarily focused on environmental law. However, the contemporary practices in the rule of law have created an unclear trajectory for climate litigation. Research in this area has long been trapped in a paradigm that relies on lawsuits for ecological environmental damage compensation and environmental public interest litigation, leading to a significant disconnect between theoretical frameworks and practical application. With the advancement of the "dual carbon" strategic goals-carbon peaking and carbon neutrality-it has become imperative to redefine the concept of climate litigation within the Chinese context. We need to establish a theoretical framework that aligns with the "dual carbon" objectives while providing theoretical and institutional support for climate litigation, ultimately contributing to the international discourse on climate justice. Additionally, Hong Kong's proactive climate governance and robust ESG (Environmental, Social, and Governance) practices provide valuable insights for developing comprehensive climate litigation mechanisms. Based on this analysis, we propose concrete plans for building a climate litigation system in China, establishing a preventive relief system and a multi-source legal framework at the substantive level and developing climate judicial mechanisms for mitigation and adaptation at the procedural level.
The Appointment of Acting (Contract) Judges and Judicial Independence in Uganda: Understanding Article 142 of the Constitution in Light of its Drafting History

Article 142(1) of the Constitution of Uganda (1995) provides that “The Chief Justice, the Deputy Chief Justice, the Principal Judge, a Justice of the Supreme Court, a Justice of Appeal and a Judge of the High Court shall be appointed by the President acting on the advice of the Judicial Service Commission and with the approval of Parliament.” Article 142(2) provides for the circumstances in which the President may appoint someone “to act” as “a Justice or Judge even though that person has attained the age prescribed for retirement in respect of that office.” Article 147(1)(a) empowers the Judicial Service Commission to advise the President to appoint both permanent and acting judicial officers. In Kabumba and Another v Attorney General (2022), the Constitutional Court held, by majority, that the President does not have the power to appoint acting judges under Article 142(2) unless the appointees are serving or retired judicial officers. In this article, the methodology used by the author is to rely on the drafting history of Article 142 of the Constitution to argue that the President has the power to appoint acting judges or justices and that the appointee does not have to be a serving or retired judge. The author also relies on practice from other Commonwealth countries on the appointment of acting judges to demonstrate that this phenomenon is not unique to Uganda. Practice from other African countries such as Seychelles, Eswatini, Botswana, Sierra Leone, Ghana, Mauritius, South Africa, Tanzania and Namibia shows that acting judges are appointed from either former judges, academics or private legal practitioners. The same approach is followed in many countries outside of Africa such as India, Jamaica, Malta, Marshall Islands, Nauru, Papua New Guinea, Samoa and Tonga. The study is significant because it is the first of its kind to discuss Article 142(2) of the Constitution in detail.
The Role of International Law in Determining Land Rights of Indigenous Peoples: The Case Study of Abuja Nigeria and a Comparative Analysis with Kenya

In 1976, the Nigerian Government compulsorily acquired the ancestral lands of Abuja peoples of Nigeria without payment of compensation or resettlement. This is legitimised under Nigerian State laws. Indigenous peoples (IPs) suffer from injustices in relation to land globally. The purpose of this thesis is to find answers to the research questions emanating from this case study. One avenue explored herein in addressing dispossession of IPs’ lands in Africa, is through considering the relevance of international law on their rights. However, there is no universally agreed definition of IPs. In the determination of whether international law provides solutions to the challenges of protecting land rights of Abuja peoples, the existing description of IPs is challenged.\ud \ud The second avenue explored herein, is through a comparative approach to understanding how Kenya has resolved these challenges and how Nigeria should respond to similar challenges. The case study is used to illustrate the need for a viable relationship between State law, IPs’ customary law and international law. The choice of Nigeria is because the case study is in Nigeria. The choice of Kenya as a comparator is because like Nigeria, Kenya is Anglophone with a plural legal system and has recently embarked on law reforms in relation to customary land rights and the place of international law within its legal system.\ud \ud Drawing from theories of legal pluralism and post-colonialism, this doctrinal, case study and comparative enquiry, makes the following original contributions to knowledge. Firstly, the case study is used to argue that international law should expand its description of IPs to include collective of peoples with different cultures. Secondly, it draws from international child rights law to advance the argument that international law on IPs should present them more positively. Finally, the comparative analysis between Nigeria and Kenya on the above subjects has not been made by any known literature at the time of writing.
<i>Ab Initio</i> prediction of possible crystal structures for general organic molecules

AbstractThe performance of a new crystal packing procedure for the ab initio prediction of possible molecular crystal structures is presented. The method is based upon only molecular information, i.e., no unit cell parameters are assumed to be known. The search for the global crystal energy minimum and all local minima inside an energy window is derived from Monte Carlo simulated annealing methods and has been applied to various organic molecules containing heteroatoms and polar groups. A systematic evaluation of the search method and of the quality of the potential energy function has been established. It is demonstrated that the packing of general organic molecules is possible even with standard force fields like CHARMM provided that the charges defining the electrostatic interactions are based upon physical models rather than transferable empirical parameters. Concepts of crystal packing that were based till now upon assumptions and speculations could be proved or disproved by solving directly the extended global optimization problem related to crystal packing. Crystal structures of molecules as complex as those treated in this article have not been, till now, predicted by a computational approach. In one case, a disagreement between the predicted and experimental structure was evident and, based upon the computations, we suspect that the published structure is the wrong one. © 1992 by John Wiley &amp; Sons, Inc.
Network Attack Knowledge Reasoning Model based on Graph Convolutional Neural Networks

Abstract         To address the challenge of analyzing large-scale penetration attacks involving complex multiple relations and multi-hop pathways, we have proposed an attack knowledge inference model based on graph convolutional neural networks. The core concept of this model involves obtaining knowledge embeddings related to CVE, CWE, and CAPEC to construct attack context feature data and relationship matrices. Subsequently, we utilize a graph convolutional neural network model for attack classification and employ the CONVE model for attack inference within the same attack category. Research results have shown that this approach outperforms other inference methods in terms of both inference accuracy and efficiency. Through improvements to the graph convolutional neural network model, we have significantly enhanced the accuracy and generalization capability of the attack classification task. Furthermore, we have introduced the use of the CONVE model for attack inference tasks for the first time, and experimental results demonstrate that the CONVE model can infer implicit relationships between CVE-CVE, CVE-CWE, and CVE-CAPEC. This method allows for a deeper learning and understanding of entity relationships within the attack knowledge graph and even aids in revealing certain hidden connections.
Health insurance coverage and access to child and maternal health services in West Africa: a systematic scoping review

Abstract                                   Background                   According to the United Nations, the third Sustainable Development Goal, ‘Ensure Healthy Lives and Promote Well-Being at All Ages’, set numerous targets on child and maternal health. Universal health insurance is broadly seen as a solution to fulfil these targets. West Africa is known to have the most severe maternal mortality and under-five mortality rates in the world. This review seeks to understand whether health insurance provides increased access to services for mothers and children in this region.                                                   Methods                   The protocol for this review is registered in the International Prospective Register of Systematic Reviews database (CRD42020203859). A search was conducted in the MEDLINE Complete, Embase, CINAHL Complete and Global Health databases. Eligible studies were from West African countries. The population of interest was mothers and children and the outcome of interest was the impact of health insurance on access to services. Data were extracted using a standardized form. The primary outcome was the impact of health insurance on the rate of utilization and access to services. The Joanna Briggs Institute Critical Appraisal Tool was used for methodological assessment.                                                   Results                   Following screening, we retained 49 studies representing 51 study settings. In most study settings, health insurance increased access to child and maternal health services. Other determinants of access were socio-economic factors such as wealth and education.                                                   Conclusions                   Our findings suggest that health insurance may be a viable long-term strategy to alleviate West Africa's burden of high maternal and child mortality rates. An equity lens must guide future policy developments and significant research is needed to determine how to provide access reliably and sustainably to services for mothers and children in the near and long term.
Bacterial and Fungal Infections in Diabetic Patients: Patterns, Resistance, and Implications for Antimicrobial Stewardship in Nigeria

Diabetic patients in Nigeria are disproportionately affected by bacterial and fungal infections, with hyperglycemia, immune dysfunction, and comorbidities increasing susceptibility and complicating clinical outcomes. Common pathogens include Staphylococcus aureus, Escherichia coli, Klebsiella spp., Pseudomonas aeruginosa, and Candida spp., with rising rates of multidrug-resistant organisms such as MRSA, ESBL-producing Gram-negative bacteria, and azole-resistant fungi. These resistance patterns challenge empirical therapy, prolong hospital stays, increase morbidity and mortality, and escalate healthcare costs. Effective management requires a multifaceted approach incorporating accurate microbiological diagnosis, empiric therapy guided by local antibiograms, timely de-escalation, and non-antibiotic interventions including glycemic control, wound offloading, debridement, and vascular assessment. Early involvement of multidisciplinary teams, strengthened infection prevention and control measures, and implementation of context-specific antimicrobial stewardship programs are critical to reducing resistance and improving patient outcomes. Enhanced surveillance, research, and community education further support evidence-based policy and clinical decision-making to optimize infection management in diabetic populations.  Keywords: Diabetes mellitus, bacterial infections, fungal infections, antimicrobial resistance.