Search Results (308)

The study examines judicial practice regarding claims for damages and non-pecuniary damages (hereinafter: NPDs) arising from violations of the duty to inform in healthcare by comparing two periods (2008–2010 and 2018–2020) in the context of patient self-determination and European trends in patient rights. The 193 final judgments selected from the Wolters Kluwer Law Database based on keyword searches underwent qualitative content analysis and quantitative processing using SPSS (Statistical Package for the Social Sciences, SPSS version 25.0). A selection criterion was that the judgment should assess on its merits whether the duty to inform had been fulfilled or violated. The real value of the adjudged compensation was compared and normalized in relation to the minimum wage (multiplied by the minimum wage) in order to reveal the actual socio-economic weight of the compensation. The results show that while in 2008–2010, the lack of information was mostly considered an additional element of professional negligence, by 2018–2020, it was recognized as a separate violation of personality rights that infringed on the right to self-determination, and the rate of complete rejection of claims for NPDs decreased. However, the increase in nominal amounts was accompanied only to a limited extent by an increase in the real value of compensation. The findings suggest that Hungarian judicial practice is moving closer to the autonomy-centred European approach, while strengthening the reparative function of NPDs—ensuring compensation that is perceptible in real terms—remains an open task. Full article

The Poisson exponentially weighted moving average (PEWMA) control chart rests upon the equidispersion assumption of the pure Poisson distribution, a structural symmetry condition stipulating that the process mean and variance are equal. In manufacturing environments characterized by latent process heterogeneity, this assumption is systematically violated: the resulting distributions are inherently asymmetric, heavily right-skewed, and overdispersed. This structural asymmetry renders standard PEWMA control limits artificially narrow, inducing a substantial inflation of false alarm rates. This paper introduces the Poisson mixture EWMA (PM-EWMA) control chart, which models the latent heterogeneous structure of count data as a finite Poisson mixture distribution, with parameters estimated via the Expectation–Maximization (EM) algorithm without requiring prior labeling of process states. The optimal number of components is determined via the Bayesian Information Criterion (BIC) as the primary criterion, supplemented by the Akaike Information Criterion (AIC), its bias-corrected variant (AICc), and the log-likelihood ratio diagnostic. The PM-EWMA chart incorporates the exact mixture variance, accounting for both within-component and between-component variability, into the EWMA control limit structure, thereby providing a theoretically justified correction under the fitted Poisson mixture assumption. A Monte Carlo simulation study comprising 495 factorial configurations benchmarks the PM-EWMA chart against both the standard PEWMA chart and the negative binomial EWMA (NB-EWMA) chart with oracle dispersion calibration, confirming stable in-control ARL performance and demonstrating improved discrimination relative to the misspecified PEWMA baseline. Empirical validation using fabric defect count data from two textile manufacturers in Türkiye, with Overdispersion Indices of 6.01 and 2.74, respectively, demonstrates false alarm reductions ranging from 40.9% to 89.2% relative to the standard PEWMA chart, depending on the smoothing parameter and degree of overdispersion. Full article

This study conducts a comparative legal analysis of South Korea’s Framework Act on Artificial Intelligence (enacted January 2025, effective January 2026) and the EU AI Act (effective August 2024), focusing on the structural implications of their divergent regulatory philosophies for sustainable digital governance. Employing legal interpretive analysis (textual, systematic, and teleological) and comparative legal methodology, supplemented by risk-based regulation theory and the theory of hardening of soft norms, this paper examines three interconnected dimensions: the conceptual distinction between “high-impact” and “high-risk” AI, the legal nature of self-regulatory structures, and the potential distortion of civil liability attribution. The analysis reveals that Korea’s adoption of the “high-impact” concept, while strategically reducing compliance costs and avoiding stigma effects, generates significant legal gaps, including potential violations of the constitutional principle of clarity, a “liability lightning rod” phenomenon transferring responsibility from AI operators to frontline practitioners, and insufficient institutional prerequisites for effective self-regulation. In contrast, the EU’s ex-ante preventive framework provides greater legal certainty through direct enumeration of high-risk sectors and mandatory conformity assessments. Drawing on the growing body of EU AI Act scholarship, this paper proposes a five-step legislative model for dynamic regulatory adjustment tailored to Korea’s constitutional structure, encompassing statutory core criteria, periodic re-evaluation with parliamentary oversight, phased mandatory enforcement, and a presumption of conformity system, thereby offering a co-regulatory framework that balances innovation promotion with fundamental rights protection. Full article

Quantitative analytical methods for measuring concentrations of chemical substances in aquatic systems typically have acceptable accuracy and precision only for an intermediate range of analyte concentrations. Outside this range, the uncertainty of concentration estimates is too high to justify reporting them as valid measurements for use in statistical analyses. Therefore, concentration estimates falling below the lower reporting limit (LRL) are typically reported as the LRL, along with a code indicating that the measured values fell below the LRL. Such data are called left-censored data. Similarly, concentration estimates falling above the upper reporting limit (URL) are typically reported as the URL, along with a code indicating that the measured values exceeded the URL. Such data are known as right-censored data. Censored data violate assumptions underlying most traditional statistical methods, such as t-tests, regression analysis, and analysis of variance. We briefly review various statistical methods that have been employed for the analysis of censored concentration data, then review in greater detail some modern statistical survival-analysis methods that have become available in standard software within the last 10 years and can be applied to concentration data with both left- and right-censored values. Methods are illustrated with real data. Full article

The article develops a hybrid multimodal neural network for the automatic prevention of personal digital rights violations, focusing on improving security through anomaly detection and ensuring data confidentiality. The main aim is to integrate several innovative methods, such as federated learning, gating, latent competitive learning, and a variational autoencoder, to improve violation detection accuracy. The key contribution is the development of a training mixture that combines a probabilistic anomaly detector and an autoencoder reconstruction signal, which allows for effective detection of typical incidents and hidden anomalies. The experimental evaluation results showed high-performance indicators, with ROC-AUC at 0.96 and accuracy at 0.94, confirming the system’s effectiveness on anonymized data. The results obtained have a significant practical contribution, as they can be integrated into national information security systems, including SOC and forensic reports, which will ensure a higher level of personal data protection and reduce privacy breach risks. The scope of the proposed system simultaneously covers cybersecurity, personal data protection, national security, SOC systems, and forensic analysis. Full article

Globally, the effects of widowhood on the welfare, health, financial security and education of the widow’s children in many contexts have been the subject of much research. This paper aims to uncover the nexus among culture, gender and language on widowhood dignity and welfare among four chosen African ethnic groups in South Africa and Zimbabwe. The widowhood phenomenon is culture-bound and value-laden as it signposts the reality of existence in the linguistic and cultural contexts in which it is created and operationalised. Through Kimberlé Crenshaw’s 1989 intersectional theory, this paper provides an in-depth, inductive qualitative investigation of the implications of culture, gender, language, and especially the nomenclature that African communities ascribe to the widowed, which in turn stigmatises widowhood. Two (2) South African and two (2) Zimbabwean ethnic groups were purposefully chosen for the multiple case study approach. Grounded theory is the coding framework and analysis technique. The coding starts off with picking key words, phrases and sentences and axial coding which is a higher level in which related data are grouped into sub-themes, themes and global themes. The search revealed that widowhood language, culture and nomenclature denote gendered, culturally contested spaces in which the widowed women especially face dehumanising and dewomanising rituals. The results gathered fall into five broad categories, namely, sexualised widowhood mourning rituals, psychological and emotional widowhood torture rituals, ritualised widowhood dispossession, swearing, movement and space restriction widowhood rituals. The rituals affirm the ascribed socially depressed widowed status implied in the stigmatising nomenclature. The paper recommends redefining widowhood in terms of humanising and womanising language, cultural rituals and nomenclature in the context of equality before the law. Such a move prevents discrimination against the widowed that unintentionally violates their constitutionally espoused right to equality. Full article

Background: Torture, as a fundamental violation of human rights, is unequivocally condemned by all international organizations. Sexual torture is one of the most severe forms of torture, encompassing forced nudity, various forms of humiliation, and physical abuse, including rape. Despite testimonial evidence indicating the incidental use of sexual torture by Israeli authorities, there is a lack of epidemiological research providing a comprehensive understanding of this issue. This study aims to analyze the prevalence and characteristics of ill treatment and sexual torture among Palestinian male detainees and the subsequent impacts. Methods: This cross-sectional study analyzed a database of 517 former male detainees. The interview protocol included items related to psychological and physical methods of sexual torture, medical impacts, subjective psychological impacts, clinical medical and psychological measures, and psychosocial and community impacts. Results: The findings indicate that the majority of detainees experienced some form of sexual torture, with humiliation being the most common type. The impact of sexual torture are severe, affecting both clinical and social domains. The impacts of sexual torture persist over time and, in some cases, worsen, particularly regarding physical health outcomes. Socially, the consequences extend to the detainees’ families and communities. Conclusions: The prevalence of such torture tactics calls for urgent responses from both the authorities and civil society. These findings highlight the need for proactive measures to address and mitigate the impacts of sexual torture, including independent investigations, robust monitoring, secure reporting mechanisms, the prosecution of perpetrators and comprehensive reparation for victims. Full article

Over the past five years, the number of new United States laws banning gender-affirming care, restricting public access to services and spaces for transgender and gender-diverse persons, and forcibly outing transgender youth in schools has increased dramatically. Much of the focus in the media and research has been on the domestic political and social causes of these anti-transgender and anti-gender-affirming care laws and their devastating effects on vulnerable transgender and gender-diverse communities. This article argues that the current wave of anti-transgender and anti-gender-affirming care laws violates civil and human rights in the context of international human rights resolutions and principles on healthcare and displacement. I explore the implications of using international human rights to challenge anti-transgender and anti-gender-affirming care legislation and what coalitional possibilities exist when expanding the fight against these laws transnationally. Full article

The recognition of a clean, healthy, and sustainable environment as a human right has reshaped global human rights discourse, yet its operationalisation remains uneven. This article examines how the African human rights system which is uniquely grounded in collective rights, has reframed environmental protection as a constitutive element of development, sovereignty, and justice. Through doctrinal and case-law analysis, it traces the evolution from the African Commission’s foundational jurisprudence in SERAC, which extended state duties to the regulation of private and transnational corporate actors, to the African Court’s landmark judgment in LIDHO v. Côte d’Ivoire. The study demonstrates how the Court transforms the aspirational ‘greening’ of human rights into binding obligations by articulating a robust duty of vigilance and linking environmental harm to violations of the rights to life, health, and development. It further shows that LIDHO inaugurates a post-sovereign model of shared and polycentric responsibility, in which state accountability encompasses corporate conduct within their jurisdiction and, potentially, beyond it. The article concludes that the African Charter’s collective framework offers an implicit regional model of ecological justice, one capable of addressing extractive asymmetries and informing emerging climate-related obligations across the continent. Full article

Machine Learning (ML) models trained on large-scale datasets learn useful predictive patterns, but they may also memorize undesired information, leading to risks such as information leakage, bias, copyright violations, and privacy attacks. As these models are increasingly deployed in real-world and regulated settings, the consequences of such memorization become practical and high-stakes, reinforced by data-protection frameworks that grant individuals a Right to be Forgotten (e.g., the GDPR). Simply removing a record from the training dataset does not guarantee the elimination of its influence from the model, while retrain-from-scratch procedures are often prohibitive for modern architectures, including Transformers and Large Language Models (LLMs). In this work, we provide a perspective on Machine Unlearning (MU) in supervised learning settings, with a particular focus on Natural Language Processing (NLP) scenarios, grounded in a PRISMA-driven systematic review. We propose a multi-level taxonomy that organizes MU techniques along practical and conceptual dimensions, including exactness (exact versus approximate), unlearning granularity, guarantees, and application constraints. To complement this perspective, we run an illustrative benchmark evaluation using a standardized unlearning protocol on DistilBERT trained on a public corpus of news headlines for topic classification, contrasting the retraining gold standard with representative design-for-unlearning and approximate post hoc techniques. For completeness, we also report two oracle-assisted upper-bound baselines (distillation and scrubbing) that rely on a clean retrained reference model, and we account for their incremental cost separately. Our analysis jointly considers model utility, probabilistic quality, forgetting and privacy indicators, as well as computational efficiency. The results highlight systematic trade-offs between accuracy, computational cost, and removal effectiveness, providing practical guidance for selecting machine unlearning techniques in realistic deployment scenarios. Full article

High-rise elevator group control systems operate under pronounced nonstationarity during commuting peaks, post-event surges, and capacity degradation, where the waiting time distribution becomes right-tail heavy and stresses service-level agreements (SLAs) defined by coverage and high-quantile targets. At the same time, the time-of-use tariffs and carbon constraints sharpen the tension between peak-power control, energy savings, and service capacity. This paper proposes a two-layer resilience scheduling framework that integrates queueing-based planning with safe reinforcement learning (RL) fine-tuning. In the planning layer, parsimonious queueing approximations and scenario-based evaluation construct a finite set of implementable mode cards and emergency switching cards; Sample Average Approximation (SAA) combined with Conditional Value-at-Risk (CVaR) constraints filter candidates to enforce tail-risk-aware service limits while keeping power demand within a prescribed envelope. In the execution layer, online dispatch is formulated as a constrained Markov decision process; within the planning layer limits, action masking and Lagrangian safe RL learn small adaptive adjustments to suppress tail-waiting risk and improve recovery dynamics without increasing peak-power commitments. The experiments under morning peaks and post-event surges confirm tail risk reduction and accelerated recovery. For partial outages, the framework prioritizes SLA coverage and recovery speed, accepting a bounded increase in tail risk as a manageable trade-off. Throughout all tests, peak power remains within the prescribed limits. Improvements persist across random seeds and demand fluctuations, indicating distributional robustness and cross-scenario generalization. Ablation studies further reveal complementary roles: removing the planning layer CVaR screening worsens tail performance, while removing the execution layer action masking increases constraint violations and destabilizes recovery. Full article

Carbon-Fiber-Reinforced Polyetheretherketone (CFR-PEEK) instrumentation is increasingly preferred in spinal oncology for its physical properties, minimizing imaging artifacts and facilitating precise postoperative radiotherapy planning and tumor surveillance. However, a significant technical limitation exists: the current unavailability of dedicated CFR-PEEK pedicle screws for the cervical spine. The smallest available implants are designed for thoracic use (minimum diameter 4.5 mm, minimum length 25 mm), posing substantial risks of neurovascular injury when applied to smaller cervical pedicles. We present a technical note/feasibility report illustrated by a single case of robot-assisted placement of thoracic CFR-PEEK screws in the cervical spine for the treatment of a C7 Giant Cell Tumor. Following neoadjuvant therapy with Denosumab, a single-stage, two-step circumferential resection and reconstruction was performed. The anterior step was complicated by an iatrogenic injury to the highly adherent left vertebral artery (VA), which was successfully repaired. Consequently, the posterior step required maximal precision to preserve the sole remaining intact VA on the right side. Given the anatomical mismatch between the 4.5 mm thoracic screws and the narrow cervical pedicles (measuring as narrow as 3.2 mm on the critical right side), robotic navigation (ExcelsiusGPS^®) was utilized to plan and execute safe trajectories. Specifically, on the side of the intact VA, a small, controlled medial cortical violation was planned to avoid lateral vascular compromise. The procedure resulted in rigid, artifact-free stabilization with no immediate neurological sequelae. This single-case experience suggests that robotic guidance may facilitate adaptation of thoracic CFR-PEEK instrumentation to the cervical spine in selected oncologic scenarios; reproducibility, costs, and long-term outcomes remain uncertain. Full article

Background: Limitations in timely and equitable access to essential medicines among older adults not only constitute a clinical barrier to the effective management of chronic conditions, but also represent a violation of the fundamental right to life, health and the principles of dignity, equality and non-discrimination that safeguard this population within the framework of human rights. Objective: To examine access to essential medicines for older adults with high-cost chronic conditions as a constitutive dimension of the fundamental rights to health, life and human dignity, in accordance with international human rights standards. Design: A literature review was conducted of articles published between 2020 and March 2025 in five databases, using the search terms: “pharmacological treatment,” “access to health,” “chronic diseases,” and “barriers to access.” After evaluating the inclusion criteria (language and year) and exclusion criteria (case studies), 12 articles were selected. A narrative synthesis was performed on the following aspects: application of the principles of the right to health, barriers to access, and rights violated or at risk. Results: The expansion of health coverage faces several barriers that violate fundamental principles of the right to health: equity, accessibility to medical advances, and long-term, quality, and specialized services, thus limiting autonomy. In conclusion, guaranteeing access to pharmacological treatments in old age will contribute to building more just and humane societies through public policies on coverage and pharmaceutical education, the simplification of treatment regimens, and the implementation of programs that allow people to age with dignity, considering health a human right based on equality and non-discrimination, participation and transparency. Full article

Ensuring the safety of Autonomous Driving Systems (ADS) at urban intersections remains challenging due to complex interactions between vehicles and traffic management infrastructure. This study validates an ADS equipped with connected perception using Infrastructure-to-Vehicle (I2V) communication within a combined virtual and hybrid testing approach. The validation follows the overall structure and methodology of the SUNRISE Safety Assurance Framework (SAF), which is applied in detail where required by the scope of the study. Five representative urban intersection scenarios, covering both nominal driving conditions and safety-critical edge cases, are evaluated using virtual simulations in MATLAB/Simulink (2014b) and hybrid experiments integrating OMNeT++ (5.7.1)/Veins (5.2)/SUMO (1.12.0) with real-world components. Key Performance Indicators (KPIs) related to safety, decision-making, longitudinal control, passenger comfort, and V2X communication performance are analyzed. The results show strong consistency between virtual and hybrid testing, with ego vehicle speed deviations below 2 km/h and trigger distance differences under 3 m. V2X communication achieves a near-perfect Cooperative Awareness Message (CAM) delivery ratio, with an average latency of approximately 142 ms. While this latency remains within the tolerance of the deployed ADS, the overall end-to-end delay highlights opportunities for further optimization. The study demonstrates how the SUNRISE SAF can effectively structure ADS validation, identifies critical scenarios such as right-of-way violations by non-priority obstacles, and provides insights into improving connectivity handling and low-speed braking behavior for Cooperative, Connected, and Automated Mobility (CCAM) systems in urban environments. Full article

Background: Psychiatrists operate at the interface of clinical care, legal frameworks, and governmental power, where external pressures and insufficient safeguards can potentially engender ethical vulnerabilities. Supranational instruments and wider professional standards notwithstanding, the extent to which national-level psychiatric associations articulate protections against torture and abusive practices in their ethical codes remains underexplored. Methods: A cross-sectional documentary audit was conducted of all 145 World Psychiatric Association (WPA) Member Societies, representing ≈250,000 psychiatrists globally. National-level psychiatric ethical codes were located via systematic web searches and examined for clauses specifically referencing torture or analogous abuses and for any associated enforcement procedures. Results: Only nineteen (13.1%) WPA Member Societies maintained publicly accessible ethical codes, with ten (6.9%) containing explicit provisions proscribing torture and associated abuses. These predominantly originated from high-income countries or jurisdictions with documented histories of human rights violations. Most codes invoked broad principles without directly addressing such abuses, and fewer than half delineated any enforcement mechanisms. Conclusions: Gaps persist in ethical governance and human-rights safeguards amongst WPA Member Societies. Although beneficence and non-maleficence provide moral foundations for psychiatric practice, generic commitments alone may prove inadequate under duress. Strengthening anti-torture prohibitions within national-level psychiatric codes could therefore help support ethical resilience and accountability in situations of institutional or political coercion. Full article