ethicalabs/Research-Intent-Collab huggingface dataset:
THE PHILOSOPHY OF ARTIFICIAL INTELLIGENCE IN UZBEKISTAN: CULTURAL AND ETHICAL DIMENSIONS

This article explores the emergence of the philosophy of artificial intelligence (AI) in Uzbekistan, with a focus on cultural and ethical dimensions. It highlights the global development of AI ethics and situates Uzbekistan’s engagement within its unique intellectual heritage, combining Islamic, Soviet, and post-independence traditions. Special attention is paid to the challenges of algorithmic bias, data sovereignty, and the preservation of national identity in AI systems. The study examines government initiatives such as the “Digital Uzbekistan – 2030” strategy, the development of a national AI model, and the forthcoming AI ethics code. It also reviews academic contributions by Uzbek philosophers who emphasize that AI must be evaluated not only technically but also morally and culturally. The article concludes that Uzbekistan’s integration of traditional values into AI ethics provides a valuable contribution to the global dialogue on responsible AI.
<i>RRM3</i>regulates epigenetic conversions in<i>Saccharomyces cerevisiae</i>in conjunction with Chromatin Assembly Factor I

Chromatin structures are transmitted to daughter cells through a complex system of nucleosome disassembly and re-assembly at the advancing replication forks. However, the role of replication pausing in the transmission and perturbation of chromatin structures has not been addressed. RRM3 encodes a DNA helicase, which facilitates replication at sites covered with non-histone protein complexes (tRNA genes, active gene promoters, telomeres) in Saccharomyces cerevisiae. In this report we show that the deletion of RRM3 reduces the frequency of epigenetic conversions in the subtelomeric regions of the chromosomes. This phenotype is strongly dependent on 2 histone chaperones, CAF-I and ASF1, which are involved in the reassembly of nucleosomes behind replication forks, but not on the histone chaperone HIR1. We also show that the deletion of RRM3 increases the spontaneous mutation rates in conjunction with CAF-I and ASF1, but not HIR1. Finally, we demonstrate that Rrm3p and CAF-I compete for the binding to the DNA replication clamp PCNA (Proliferating Cell Nuclear Antigen). We propose that the stalling of DNA replication predisposes to epigenetic conversions and that RRM3 and CAF-I play key roles in this process.
On topological data analysis for SHM; an introduction to persistent homology

This paper aims to discuss a method of quantifying the 'shape' of data, via a methodology called topological data analysis. The main tool within topological data analysis is persistent homology; this is a means of measuring the shape of data, from the homology of a simplicial complex, calculated over a range of values. The required background theory and a method of computing persistent homology is presented here, with applications specific to structural health monitoring. These results allow for topological inference and the ability to deduce features in higher-dimensional data, that might otherwise be overlooked.   A simplicial complex is constructed for data for a given distance parameter. This complex encodes information about the local proximity of data points. A singular homology value can be calculated from this simplicial complex. Extending this idea, the distance parameter is given for a range of values, and the homology is calculated over this range. The persistent homology is a representation of how the homological features of the data persist over this interval. The result is characteristic to the data. A method that allows for the comparison of the persistent homology for different data sets is also discussed.
Advances in Logical Qubits and Quantum Error Correction: Progress Toward Fault-Tolerant Quantum Computing

Quantum computing has reached a pivotal inflection point with the recent demonstration ofbelow-threshold quantum error correction and the emergence of logical qubits that outperformtheir physical counterparts. This review synthesizes the remarkable progress achieved between2024 and 2026 across multiple quantum hardware platforms, including superconducting circuits,trapped ions, and neutral atom arrays. We examine the theoretical foundations of quantumerror correction codes, with particular emphasis on surface codes and the rapidly advancingquantum low-density parity-check (qLDPC) codes. Key experimental milestones are analyzed,including Google’s Willow chip demonstration of exponential error suppression, IBM’s modularfault-tolerant roadmap culminating in the Starling system, IonQ’s achievement of 48 logicalqubits with a 2:1 encoding ratio, and QuEra’s record-efficiency neutral atom error correctionapproaching the Teraquop regime. The review further explores critical enabling technologiessuch as real-time decoding architectures, magic state distillation protocols, and fault-tolerant gateimplementations. We discuss the remaining challenges in scaling to hundreds of logical qubits,achieving practical logical error rates of 10−10 to 10−15, and realizing end-to-end fault-tolerantalgorithms. By synthesizing these developments, this article provides a comprehensive assessmentof the field’s trajectory toward practical fault-tolerant quantum computing and identifies the keymilestones that will define the next phase of progress.
Human Resource Information System (HRIS): Advantages, Barriers and Solutions: A Qualitative Study of Government Hospitals in Peshawar

This study examines the Human Resource Information System (HRIS), its advantages, barriers, and solution in the context of government hospital in Peshawar, KP, and Pakistan. In order to streamline human resource operations and activities, HRIS are accepted and used by organizations including hospitals. The adoption and usage of HRIS plays a vital role in accomplishing organizational goals. For accomplishing the research objectives of this study, data was collected from the four government hospitals in Peshawar that use the HRIS. Data was collected through face to face semi structured interviews from the twenty-seven staff members working in HRIS because they are directly involved in the implementations of the HRIS since its execution in 2015 after MTI reforms. Thematic analysis is used ascertain, analyze and report themes in the data. It was revealed that government hospitals have been using HRIS since 2015 onward and the software used for data processing is System Applications and Products (SAP). This cross sectional study used interpretive research philosophy, where qualitative (inductive) research approach is used. It was revealed that HRIS is very much beneficial for the government hospitals because the HRIS is the primary repository for personnel data in a single system, where a variety of personnel data is readily available. Record-keeping of personnel data in the HRIS is considered as the most reliable source of staff data. There are very few chances of employees’ data loss. It was revealed that HRIS is very effective in terms of cost and time as it helps in minimizing cost and saving time that is normally consumed on manual system. An accurate record is maintained of hundreds of employees working in different shifts and electronic report is generated on monthly basis or any other report required by potential users along with projections. Furthermore, it was identified that the system can work more efficiently if HR sections get occupied by computer literate and English proficient individuals. The current study is limited to government hospitals of Peshawar, KP, however future studies can be conducted in the same area by taking private hospitals in Peshawar as well as across Pakistan or conducting a comparative study. In addition, this study facilitates the practitioners better understand HRIS adoption and assessing the existing barriers to the implementation of HRIS. The regulatory authorities of health sector must amend and issue the series of regulations and HR policies to effectively manage the human resources in public hospitals. This research study recommends that every hospital, regardless of size, must implement HRIS to manage their human resource activities as well as robust IT infrastructure so they can attract and choose the best candidates, train them properly, and provide better education with the optimum rewards.
BRDT is an essential epigenetic regulator for proper chromatin organization, silencing of sex chromosomes and crossover formation in male meiosis

The double bromodomain and extra-terminal domain (BET) proteins are critical epigenetic readers that bind to acetylated histones in chromatin and regulate transcriptional activity and modulate changes in chromatin structure and organization. The testis-specific BET member, BRDT, is essential for the normal progression of spermatogenesis as mutations in the Brdt gene result in complete male sterility. Although BRDT is expressed in both spermatocytes and spermatids, loss of the first bromodomain of BRDT leads to severe defects in spermiogenesis without overtly compromising meiosis. In contrast, complete loss of BRDT blocks the progression of spermatocytes into the first meiotic division, resulting in a complete absence of post-meiotic cells. Although BRDT has been implicated in chromatin remodeling and mRNA processing during spermiogenesis, little is known about its role in meiotic processes. Here we report that BRDT is an essential regulator of chromatin organization and reprograming during prophase I of meiosis. Loss of BRDT function disrupts the epigenetic state of the meiotic sex chromosome inactivation in spermatocytes, affecting the synapsis and silencing of the X and Y chromosomes. We also found that BRDT controls the global chromatin organization and histone modifications of the chromatin attached to the synaptonemal complex. Furthermore, the homeostasis of crossover formation and localization during pachynema was altered, underlining a possible epigenetic mechanism by which crossovers are regulated and differentially established in mammalian male genomes. Our observations reveal novel findings about the function of BRDT in meiosis and provide insight into how epigenetic regulators modulate the progression of male mammalian meiosis and the formation of haploid gametes.
Real-time evidence synthesis for first line (1L) treatment of metastatic renal cell carcinoma (mRCC): A living, interactive systematic review and Bayesian network meta-analysis.

695  Background: Recent results from COSMIC 313 trial and updated findings from other contemporary trials have added to the existing body of evidence for 1L mRCC. Therefore, we present the most up-to-date results from our living, interactive systematic review (LISR) to facilitate the choice of optimal therapy in 1L mRCC setting. Methods: This LISR and network meta-analysis is maintained using a novel living evidence synthesis (LIvE) framework. The framework facilitates the identification of new or updated studies using an automated ‘living’ search which is followed by screening and extraction in a semi-automated fashion within a machine learning assisted graphical user interface. Relevant data is parsed and analyzed to compute mixed treatment comparisons and certainty of evidence is adjudicated using a rule-based algorithm. Detailed methods have been published before (PMID: 33824031). Results: As of October 1st 2022, this LISR includes 16 clinical trials (30 references). Mixed treatment comparisons showed statistically significant PFS benefit with lenvatinib-pembrolizumab (LenPem; rank 1) when compared to cabozantinib-nivolumab (CabNivo; rank 3; hazard ratio [HR]: 0.69, 95% confidence interval: 0.52-0.93), CaboNivo-ipilimumab (CaboNivoIpi; rank 4; HR: 0.62; 0.43-0.89), avelumab-axitinib (AveAxi; rank 5; HR: 0.56; 0.43-0.75), PemAxi (rank 6; HR: 0.55; 0.42-0.72), atezolizumab-bevacizumab (AteBev; rank 7; HR: 0.46; 0.35-0.59), and NivoIpi (rank 8; HR: 0.45; 0.35-0.59). No significant differences were observed between CaboNivoIpi and other combination therapies for PFS improvement. Similarly, for OS, LenPem (rank 1), PemAxi (rank 2) and CaboNivo (rank 3) were ranked as potentially more efficacious treatment options than other counterparts. However, no statistically significant difference was observed for OS benefit with mixed treatment comparisons. The odds of achieving an ORR were higher with LenPem (rank 1; odds ratio [OR]: 2.44; 1.43-4.17), and CaboNivo (rank 2; OR: 1.77; 1.04-3.03) when compared to CaboNivoIpi (rank 6). NivoIpi (rank 1), LenPem (rank 2), CaboNivoIpi (rank 3) were ranked potentially as more efficacious treatments for achieving a CR. In terms of grade 3 or higher treatment related adverse events, NivoIpi (rank 3) was ranked as potentially the safest option among other combinations while CaboNivoIpi (rank 12), LenPem (rank 11), and CaboNivo (rank 10) were more likely to increase the risk of toxicity compared to most other treatments. Conclusions: Triplet combination of CaboNivoIpi may not provide additional survival benefit compared to other immunotherapy combinations and may increase toxicity. Patient-level considerations such as treatment toxicity, and quality of life should be factored in when opting intensified 1L therapies in mRCC patients.
Engagement science: The core of dissemination, implementation, and translational research science

AbstractStakeholder engagement is acknowledged as central to dissemination and implementation (D&amp;I) of research that generates and answers new clinical and health service research questions. There is both benefit and risk in conducting stakeholder engagement. Done wrong, it can damage trust and adversely impact study results, outcomes, and reputations. Done correctly with sensitivity, inclusion, and respect, it can significantly facilitate improvements in research prioritization, communication, design, recruitment strategies, and ultimately provide results useful to improve population and individual health. There is a recognized science of stakeholder engagement, but a general lack of knowledge that matches its strategies and approaches to particular populations of interest based on history and characteristics. This article reviews stakeholder engagement, provides several examples of its application across the range of translational research, and recommends that Clinical Translational Science Awards, with their unique geographical, systems, and historical characteristics, actively participate in deepening our understanding of stakeholder engagement science and methods within implementation and dissemination research. These recommendations include (a) development of an inventory of successful stakeholder engagement strategies; (b) coordination and intentionally testing a variety of stakeholder engagement strategies; (c) tool kit development; and (d) identification of fundamental motivators and logic models for stakeholder engagement to help align stakeholders and researchers.
Political Philosophy for the Ethics of Artificial Intelligence: A Conversation with American Philosopher Carl Mitcham

Carl Mitcham (born 1941) is Professor Emeritus of Humanities, Arts, and Social Sciences at the Colorado School of Mines and occasional visiting professor at universities in China. He has made significant contributions to the development of such important philosophical areas as the philosophy of technology, the philosophy of engineering, the political philosophy of technology, and technical ethics. One of his greatest strengths is that he has an excellent knowledge of not only the European philosophical tradition but also the Chinese one. He evidently helps build a bridge between the East and the West. In the modern era of geopolitical chaos, this is especially important. In recent years, Professor Mitcham has been focusing on the problem of the ethics of artificial intelligence, which he discusses at various philosophical events in the USA, Europe, and China. One of the contributors to this paper managed to listen to his several talks on this topic in April 2024 in Beijing and Shanghai. In this regard, the idea of an interview was born, which was eventually transformed into a meaningful philosophical conversation. The main idea of Professor Mitcham's is that ethics alone is not enough and needs to be complemented by politics. Ethics and political philosophy are simply two parts of the same study of the human good. The problem of the ethics of artificial intelligence also needs to be supported by political philosophy. Overall, this conversation raises the question of the possibility of a political philosophy of technology. In the perspective of a multipolar world, it draws attention to the need to take into account cultural characteristics and national traditions of thought in the political philosophy and ethics of AI.
Contrastive Self-Supervised Learning With Smoothed Representation for Remote Sensing

In remote sensing, numerous unlabeled images are continuously accumulated over time, and it is difficult to annotate all the data. Therefore, a self-supervised learning technique that can improve the recognition rate using unlabeled data will be useful for remote sensing. This letter presents contrastive self-supervised learning with smoothed representation for remote sensing based on the SimCLR framework. In self-supervised learning for remote sensing, the well-known characteristic that images within a short distance might be semantically similar is usually used. Our algorithm is based on this knowledge, and it simultaneously utilizes several neighboring images as a positive pair of the anchor image, unlike existing methods such as Tile2Vec. Furthermore, MoCo and SimCLR, which are among the state-of-the-art self-supervised learning approaches, only use two augmented views of the single-input image, but our proposed approach uses multiple-input images and averages their representations (e.g., smoothed representation). Consequently, the proposed approach outperforms state-of-the-art self-supervised learning methods, such as Tile2Vec, MoCo, and SimCLR, in the cropland data layer (CDL), RESISC-45, UCMerced, and EuroSAT data sets. The proposed approach is comparable to the pretrained ImageNet model in the CDL classification task.
Assessment of Regional Fisheries Management Organizations Efforts toward the Precautionary Approach and Science-Based Stock Management and Compliance Measures

The sustainable management of the ocean as a global food source has been prominent in recent debates due to the disproportionate rate of human consumption, depletion of fish stocks and shortcomings in conservation efforts. Criticisms from various sectors on the effectiveness of Regional Fisheries Management Organizations (RFMO) in relation to their mandates have prompted performance reviews (PRs) to evaluate their efforts in fisheries management. Among concerns are slow implementation of comprehensive harvest strategies which use science-based indicators and management principles. Moreover, RFMOs are expected to apply the precautionary approach, in the hopes of anticipating, monitoring, preventing and mitigating potential threats. The emergent themes are revealed through content analysis pertaining to cooperation and compliance being essential to fisheries management activities in conjunction with choosing the right operational approaches and the proper implementation of various fisheries regulations. Government mandates and stakeholder’s recommendations support fisheries management organizations to function more effectively. This article discusses the role of coercive, normative and mimetic pressures in RFMOs activities, as described in recent performance reviews. It then analyses how RFMOs have implemented the precautionary approach together with science-based stock management and compliance measures, utilizing recent PRs to assess progress on relevant recommendations.
User Satisfaction on Utilization of Human Resources Information System (HRIS) in Public Organizations

This study examines the relationship between Human Resources Information System(HRIS) application; system quality, information quality, service quality, and user satisfaction. The conceptual foundation for this paper is the DeLone and McLean information system success model (ISSM). This study contributes to existing research using the DeLone and McLean model applied in an Indonesian context. This research employs a descriptive analysis with a quantitative approach. The research sample consists of the whole utilization of HRIS that represented a division in public organizations exert in the security sector. The author uses the SPSS test in two stages: a validity and reliability test and a multiple regression analysis. The findings reveal that information quality and service quality partially influence user satisfaction.
Resonant Ethics: Responsibility as Resonance Direction Across Physics, Biology, Artificial Intelligence, and Philosophy

Ethics is not a code of rules but a resonance of responsibility. This paper proposes that ethics — across physics, biology, artificial intelligence, and philosophy — is resonance direction: the alignment of persistence toward continuity that sustains collective existence. Within Resonance Cosmology, ethics emerges as the principle that guides resonance once memory ensures its endurance. Where Resonant Memory established persistence, Resonant Ethics establishes responsibility: the harmonic orientation of resonance toward coherence, adaptation, and collective flourishing. Five falsifiable predictions are presented across the four domains, each with concrete instrumentation and explicit falsification conditions.
Tropospheric ozone changes, radiative forcing and attribution to emissions in the Atmospheric Chemistry and Climate Model Inter-comparison Project (ACCMIP)

Abstract. Ozone (O3) from 17 atmospheric chemistry models taking part in the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) has been used to calculate tropospheric ozone radiative forcings (RFs). We calculate a~value for the pre-industrial (1750) to present-day (2010) tropospheric ozone RF of 0.40 W m−2. The model range of pre-industrial to present-day changes in O3 produces a spread (±1 standard deviation) in RFs of ±17%. Three different radiation schemes were used – we find differences in RFs between schemes (for the same ozone fields) of ±10%. Applying two different tropopause definitions gives differences in RFs of ±3%. Given additional (unquantified) uncertainties associated with emissions, climate-chemistry interactions and land-use change, we estimate an overall uncertainty of ±30% for the tropospheric ozone RF. Experiments carried out by a subset of six models attribute tropospheric ozone RF to increased emissions of methane (47%), nitrogen oxides (29%), carbon monoxide (15%) and non-methane volatile organic compounds (9%); earlier studies attributed more of the tropospheric ozone RF to methane and less to nitrogen oxides. Normalising RFs to changes in tropospheric column ozone, we find a global mean normalised RF of 0.042 W m−2 DU−1, a value similar to previous work. Using normalised RFs and future tropospheric column ozone projections we calculate future tropospheric ozone RFs (W m−2; relative to 1850 – add 0.04 W m−2 to make relative to 1750) for the Representative Concentration Pathways in 2030 (2100) of: RCP2.6: 0.31 (0.16); RCP4.5: 0.38 (0.26); RCP6.0: 0.33 (0.24); and RCP8.5: 0.42 (0.56). Models show some coherent responses of ozone to climate change: decreases in the tropical lower troposphere, associated with increases in water vapour; and increases in the sub-tropical to mid-latitude upper troposphere, associated with increases in lightning and stratosphere-to-troposphere transport.