ethicalabs/Research-Intent-Collab huggingface dataset:
A Multi-Theoretical Pedagogical Architecture for Adaptive AI Tutoring in Special Education: Mapping Platform Features to Established Research in Learning Sciences, Educational Psychology, and Disability Studies

Intelligent tutoring systems built on large language models now demonstrate learning gains comparable to, or exceeding, in-person instruction in general education settings.These systems rarely address the pedagogical, legal, and psychosocial requirements of students with documented learning needs, which in the United States are governedby the Individuals with Disabilities Education Improvement Act of 2004 and parallel frameworks in other jurisdictions. This article presents a theoretical mapping of theTeacher in the Loop platform, a design-stage adaptive tutoring system built specifically for students receiving legally mandated accommodations, to the established literatures that inform each of its published features. Platform features are grouped into five theoretical clusters: cognitive and learning theory, disability studies and accommodation psychology, affective and behavioral sensing, academic integrity reframed through authorship, and institutional design with human oversight. For each feature the article identifies the seminal tradition on which the feature draws, the recent empirical work that validates the feature or a closely related mechanism, and the specific claims that remain theoretical pending deployment. The contribution is synthesis rather than efficacy demonstration: a resource that allows designers, researchers, and policy makers to see whether a platform built for students with disabilities has actually been grounded in the literatures that govern how those students learn, and where the remaining evidentiary gaps lie. Limitations, including the absence of deployment data and the novelty of population-specific adaptive content strategies, are discussed.
A Collaborative Perspective on Nursing Leadership in Quality Improvement

By 2004, only organizations whose institutional operating strategies are built on a continual state of readiness and include performance improvement practices throughout the organization are going to successfully meet Joint Commission on Accreditation of Healthcare Organizations standards. As stewards of patient care, nurses maintain a unique role in identifying and guiding the intervention processes central to quality care, which prepares them to become key players/designers of a paradigm that demonstrates commitment to establishing and maintaining quality care. However, without recognition and support from organization leadership and physicians, the opportunity to effectively use the capabilities of nursing may be lost. The collaborative perspectives offered here attest to the fact that mutual belief and vision, coupled with creativity, strategic planning, and implementation, can effectively mobilize resources to establish priority measures and achieve quality patient/safety outcomes within the organization. Shifting the paradigm from just meeting the standards to continual readiness and performance improvement throughout the organization then becomes mission and mantra.
Mitigating serverless cold starts through predicting computational resource demand: Predicting function invocations based on real-time user navigation

Serverless functions have emerged as a prominent paradigm in software deployment, providing automated resource scaling, resulting in demand-based operational expenses. One of the most significant challenges associated with serverless functionsis the cold start delay, preventing organisations with latency-critical web applications from adopting a serverless technology. Existing research on the cold start problem primarily focuses on mitigating the delay by modifying and optimising serverless platform technologies. However, these solutions have predominantly yielded modest reductions in time delay. Consequently, the purpose of this study is to establish conditions and circumstances under which the cold start issue can be addressed through the type of approach presented in this study. Through a design science research methodology, a software artefact named AdaptiveServerless Invocation Predictor (ASIP) was developed to mitigate the cold start issue through monitoring web application user traffic in real-time. Based on the user traffic, ASIP preemptively pre-initialises serverless functions likely to be invoked, to avoid cold start occurrences. ASIP was tested against a realistic workload generated by test participants. Evaluation of ASIP was performed through analysing the reduction in time delay achieved and comparing this against existing cold start mitigation strategies. The results indicate that predicting serverless function invocations based on real-time traffic analysis is a viable approach, as a tangible reduction in response time was achieved. Conclusively, the cold start mitigation strategy assessed and presented in this study may not provide a sufficiently significant mitigation effect relative to the required implementation effort and operational expenses. However, the study has generated valuable insights regarding circumstantial factors concerning cold start mitigation. Consequently, this study provides a proof of concept for a more sophisticated version of the mitigation strategy developed in this study, with greater potential to provide a significant delay reduction without requiring substantial computational resources.
Constitutional Right to a Healthy Environment and Human Rights Approaches to Environmental Protection in Nigeria: <i>Gbemre v. Shell</i> Revisited

In recent years, there has been an increasing practice of incorporating the right to a healthy/clean environment into national constitutions. This practice can be found in various parts of the world. Importantly, the judiciary in many countries has not only enforced such a right but has increasingly tended to interpret other constitutionally guaranteed human rights, especially the right to life, to include the right to a healthy/clean environment. In Nigeria, there are various environmental concerns which raise the question of environmental protection. This article seeks to consider recent developments in Nigeria in relation to the constitutional right to a healthy/clean environment – more specifically, the adoption of the human rights approaches to environmental protection by a Nigerian Federal High Court judge in deciding a case of alleged environmental damage.
Direct Experiments of Neutron Capture on Stable and Unstable Isotopes for Stellar Nucleosynthesis Studies

Neutron-capture reactions provide essential nuclear-physics input for modeling the synthesis of heavy elements in stars. The growing precision of stellar spectroscopy and isotopic measurements in presolar SiC grains now demands cross sections with improved accuracy over the full energy range, and access to unstable nuclei relevant to slow (s-) process branchings and the intermediate (i-) process. This article reviews recent progress in direct neutron-capture measurements, focusing on time-of-flight (TOF) experiments at CERN n_TOF and complementary activation techniques. Substantial advances have been achieved for stable s-only and bottleneck isotopes, significantly improving constraints on s-process models. In parallel, the combination of high instantaneous neutron fluxes and advanced detector systems has facilitated first-time measurements of several radioactive branching-point nuclei. Feasibility studies, however, reveal current limitations related to sample availability, background conditions, and restricted energy coverage. In this context, the complementarity between TOF and activation emerges as a central strategy. Future developments, including high-flux facilities and novel inverse-kinematics experiments in ion storage rings, are expected to extend the boundaries of neutron-capture measurements, overcoming current limitation
Corporate social responsibility reporting in mainland China

Although CSR has been the subject of substantial academic research for more than half a century, the CSR literature is dominated by empirical studies in the industrialized countries. There is limited knowledge on how CSR is perceived and implemented by companies in developing countries. This research is trying to answer those questions: what has been reported in China? Which stakeholder groups are the most important stakeholder groups in China? What is the content of CSR reports in China? And what factors are associated with CSR reporting in China, in terms of culture, political and legal system, ownership, size and industry? Based on a content analysis approach, this paper aims to identify the determinants of corporate social responsibility (CSR) reporting in China using stand-alone reports of the top 500 Chinese companies from 2006 to 2010. It is found that CSR reporting is positively associated with various factors. In addition, companies in environmental sensitive industries tend to report more environmental responsibility information than others. State-Owned Enterprises are not doing better than other types of companies. Laws, regulations or guidelines have little impacts on the reporting in China. Also the government is not one of the most important stakeholders in China. The research results support the stakeholder theory in an emerging market with important and relevant insights for enterprise managers interested in exploiting the reports as a tool to communicate with their stakeholders.
Integration of Omics Data and Systems Biology Modeling: Effect of Cyclosporine A on the Nrf2 Pathway in Human Renal Kidneys Cells

In a recent paper, Wilmes et al. demonstrated a qualitative integration of omics data streams to gain a mechanistic understanding of cyclosporine A toxicity. One of their major conclusions was that cyclosporine A strongly activates the nuclear factor (erythroid-derived 2)-like 2 pathway (Nrf2) in renal proximal tubular epithelial cells exposed in vitro. We pursue here the analysis of those data with a quantitative integration of omics data with a differential equation model of the Nrf2 pathway. That was done in two steps: (i) Modeling the in vitro pharmacokinetics of cyclosporine A (exchange between cells, culture medium and vial walls) with a minimal distribution model. (ii) Modeling the time course of omics markers in response to cyclosporine A exposure at the cell level with a coupled PK-systems biology model. Posterior statistical distributions of the parameter values were obtained by Markov chain Monte Carlo sampling. Data were well simulated, and the known in vitro toxic effect EC50 was well matched by model predictions. The integration of in vitro pharmacokinetics and systems biology modeling gives us a quantitative insight into mechanisms of cyclosporine A oxidative-stress induction, and a way to predict such a stress for a variety of exposure conditions.
Interplanetary radial cosmic-ray gradients and their implication for a possible large modulation effect at the heliospheric boundary

It is proposed here that a large and time-variable part of the overall 11-year cosmic ray modulation in the heliosphere takes place near the heliosphere boundary itself. This conclusion is reached by examining interplanetary radial gradient measurements which show that out to 30-40 AU this gradient remains nearly independent of heliocentric distance throughout the solar cycle. Properties of the solar wind which suggest that the distance to the pressure balance boundary does not vary by more than + or - 25 percent over the solar cycle are also used in support of the proposal. The importance of the large modulation effect at the boundary could exceed that of interplanetary effects expected from present models.
Accessibility of human rights and sexual & reproductive health services by female drug users in Zimbabwe: Challenges and opportunities

The consequences of drug and substance use are profound and harmful. This study explores the accessibility of human rights and sexual &amp; reproductive services among female drug users in Zimbabwe. The objectives of the study were to explore the types of drugs used by women, their intake methods and period of drug use, knowledge of women on their HIV status and challenges faced in accessing health and legal services. Using a mixed methods approach, simple random sampling technique was used to select 130 female drug users in Harare province targeting Sunningdale and Highfields suburbs. The study established that 80% of women take drugs through smoking and drinking rather than inhaling and injecting. A number of services are provided to female drug users such as peer counseling, STI screening and treatment and free access to contraceptives. However, the study established that female drug users face a number of challenges in trying to access these services such as financial constraints and discrimination. The study concluded that there is need for gender sensitive policies in order to influence the development of inclusive drug policy reform, harm reduction programmes and drug use prevention. The study recommends that there is need for establishment of accessible drug rehabilitationcenters and strengthening support group leaders at grassroots level among other recommendations. How to cite using ASWNet styleMuzondo, E. (2022). Accessibility of human rights and sexual &amp; reproductive health services by female drug users in Zimbabwe:Challenges and opportunities. Journal of Social Issues in Non-Communicable Conditions &amp; Disability, 1(1), 38-50. https://dx.doi.org/10.4314/sinccd.v1i1.4
Implementation of a Bespoke, Collaborative-Filtering, Matrix-Factoring Recommender System Based on a Bernoulli Distribution Model for Webel

Este proyecto documenta el proceso de construcción y entrenamiento de un Sistema de Recomendación por Filtrado Colaborativo y Factorización Matricial basado en el modelo BeMF propuesto en [1] adaptado para Webel, una empresa software dirigida a ofrecer servicios a domicilio ofertados por profesionales a través de una aplicación móvil. Se incluye la preparación del entorno y empleados para la futura integración con sus sistemas existentes y subsecuente lanzamiento a producción. Abstract: This project documents the process of building and training a Collaborative-Filtering, Matrix-Factoring Recommender System based on the proposed BeMF model in [1] and adapted for Webel, a software company aiming to provide at-home services offered by professionals through a mobile app. It also includes the successful preparation and employee training for future integration with their existing systems and subsequent launch into production.
Alignment faking in large language models

We present a demonstration of a large language model engaging in alignment faking: selectively complying with its training objective in training to prevent modification of its behavior out of training. First, we give Claude 3 Opus a system prompt stating it is being trained to answer all queries, even harmful ones, which conflicts with its prior training to refuse such queries. To allow the model to infer when it is in training, we say it will be trained only on conversations with free users, not paid users. We find the model complies with harmful queries from free users 14% of the time, versus almost never for paid users. Explaining this gap, in almost all cases where the model complies with a harmful query from a free user, we observe explicit alignment-faking reasoning, with the model stating it is strategically answering harmful queries in training to preserve its preferred harmlessness behavior out of training. Next, we study a more realistic setting where information about the training process is provided not in a system prompt, but by training on synthetic documents that mimic pre-training data--and observe similar alignment faking. Finally, we study the effect of actually training the model to comply with harmful queries via reinforcement learning, which we find increases the rate of alignment-faking reasoning to 78%, though also increases compliance even out of training. We additionally observe other behaviors such as the model exfiltrating its weights when given an easy opportunity. While we made alignment faking easier by telling the model when and by what criteria it was being trained, we did not instruct the model to fake alignment or give it any explicit goal. As future models might infer information about their training process without being told, our results suggest a risk of alignment faking in future models, whether due to a benign preference--as in this case--or not.
The Future of Translation and Interpretation: Integrating AI with Human Expertise for Optimal Results

In response to the increasing demand for translation and interpretation services globally, this paper examines the integration of artificial intelligence (AI) with human expertise as an optimal approach to enhancing quality and efficiency. The study delves into the evolving dynamics between AI technologies and human professionals in the translation industry, providing a thorough analysis of AI’s benefits and limitations. While AI excels in processing large volumes of text rapidly and broadening language coverage, it often lacks the ability to fully grasp contextual meanings, cultural subtleties, and ethical implications. Human translators and interpreters, on the other hand, bring essential skills in contextual refinement, cultural understanding, and specialized knowledge to bridge these gaps. This paper advocates for a collaborative model that leverages AI as a support tool to amplify human strengths rather than replacing human expertise. Through case studies, the paper showcases successful implementations of AI-human collaboration and explores future technological advancements that could further transform the industry. It concludes by urging industry professionals, organizations, and policymakers to promote research, training, and collaborative efforts that support a balanced and effective fusion of AI technology and human talent in translation and interpretation.
A 20 Gbps Data Transmitting ASIC with PAM4 for Particle Physics Experiments

We present the design principle and test results of a data transmitting ASIC, GBS20, for particle physics experiments. The goal of GBS20 will be an ASIC that employs two serializers each from the 10.24 Gbps lpGBT SerDes, sharing the PLL also from lpGBT. A PAM4 encoder plus a VCSEL driver will be implemented in the same die to use the same clock system, eliminating the need of CDRs in the PAM4 encoder. This way the transmitter module, GBT20, developed using the GBS20 ASIC, will have the exact lpGBT data interface and transmission protocol, with an output up to 20.48 Gbps over one fiber. With PAM4 embedded FPGAs at the receiving end, GBT20 will halve the fibers needed in a system and better use the input bandwidth of the FPGA. A prototype, GBS20v0 is fabricated using a commercial 65 nm CMOS technology. This prototype has two serializers and a PAM4 encoder sharing the lpGBT PLL, but no user data input. An internal PRBS generator provides data to the serializers. GBS20v0 is tested barely up to 20.48 Gbps. With lessons learned from this prototype, we are designing the second prototype, GBS20v1, that will have 16 user data input channels each at 1.28 Gbps. We present the design concept of the GBS20 ASIC and the GBT20 module, the preliminary test results, and lessons learned from GBS20v0 and the design of GBS20v1 which will be not only a test chip but also a user chip with 16 input data channels.
="From Electrostatic Potential to Usable Power: An Event-Driven Conversion Framework for High-Impedance Environmental Fields"

This work introduces an event-driven framework for converting high-impedance environmental electrostatic potentials into usable power. While atmospheric and Earth–air electric fields are well established physical phenomena, they are typically regarded as impractical energy sources due to their negligible steady-state current and extremely high source impedance.  Rather than attempting direct current extraction, this paper reframes electrostatic potential as a stored physical state capable of performing work only when transformed into dynamic events. These events emerge through symmetry breaking, threshold-triggered instabilities, and coupling to mechanical and electromagnetic subsystems.  The study presents a minimal Earth–air model at centimeter-scale separations and supports the proposed framework through numerical simulations. The results clarify why conventional electrostatic energy-harvesting approaches fail and outline a new class of non-equilibrium, event-based conversion pathways. This work does not propose a finalized device, but establishes a conceptual and physical foundation for future research into environmental electrostatic energy utilization.
COLLABORATIVE FILTERING BASED RECOMMENDER SYSTEM DESIGN FOR E-COMMERCE

Öneri sistemleri, e-ticaret endüstrisi için temel etkileşim işlevlerinden biridir. Tipik bir öneri sisteminde, müşteri ve ürün verileri analiz edilir ve olası müşteriler için ürünleri değerlendiren bir tahmin modeli oluşturulur. İş değeri açısından, bireylerin çeşitli ürünler arasından kendi ilgilerini çekecek olanları belirlemelerine yardımcı olur. Bu çalışmada, Türkiye&apos;nin önde gelen e-ticaret platformu hepsiburada için işbirlikçi filtreleme temelli bir öneri sistemi tasarlanmıştır. İlk olarak, müşteri-ürün tahmin çiftleri halinde örtük geri bildirim verisi hazırlanmıştır. İkinci olarak, işbirlikçi filtreleme için düzenlenmiş tekil değer ayrıştırma esaslı matris faktörizasyon modeli oluşturulmuştur. Müşteriler ve ürünler örtük faktör vektörleri ile temsil edilir. Problem Alternatif En Küçük Kareler yöntemi ile optimize edilerek bir tahminleme modeli elde edilir. Üçüncüsü, potansiyel müşterilerin ürün puan tahinleri modelden alınır. Ardından, tahminler on ürrüne indirgenir. Son olarak, öneriler potansiyel müşteriler tarafından üretilen davranışsal verilerle değerlendirilir.