Hasil untuk "Civil law"

Thomas Carothers

D. Pedreschi, S. Ruggieri, F. Turini

Zachary A. Kramer

What is the future of civil rights? Like a living thing, discrimination evolves, adapting to its time. As discrimination becomes more individualized, as difference becomes more pronounced, we need a civil rights that is attuned to the way identity is performed today. Outsiders: Why Difference Is the Future of Civil Rights is filled with stories that demand attention, stories of people whose search for identity has cast them to the margins. Their stories reveal that we need to refresh our vision of civil rights. Instead of dealing in protected traits, civil rights law should take its cue from religious discrimination law. What we need is a right to personality. The critical question driving equality law should be whether there is space to accommodate a person’s identity. Outsiders: Why Difference Is the Future of Civil Rights seeks to change the way we think about identity, equality, and discrimination. It argues that difference, not sameness, should be the cornerstone of civil rights. Mixing doctrine and theory, art, and personal narrative, Outsiders: Why Difference Is the Future of Civil Rights argues for a civil rights for everyone. Being different is universal. We are all outsiders.

JaeSeong Kim, Chaehwan Lim, Sang Hyun Gil et al.

We present EuraGovExam, a multilingual and multimodal benchmark sourced from real-world civil service examinations across five representative Eurasian regions: South Korea, Japan, Taiwan, India, and the European Union. Designed to reflect the authentic complexity of public-sector assessments, the dataset contains over 8,000 high-resolution scanned multiple-choice questions covering 17 diverse academic and administrative domains. Unlike existing benchmarks, EuraGovExam embeds all question content--including problem statements, answer choices, and visual elements--within a single image, providing only a minimal standardized instruction for answer formatting. This design demands that models perform layout-aware, cross-lingual reasoning directly from visual input. All items are drawn from real exam documents, preserving rich visual structures such as tables, multilingual typography, and form-like layouts. Evaluation results show that even state-of-the-art vision-language models (VLMs) achieve only 86% accuracy, underscoring the benchmark's difficulty and its power to diagnose the limitations of current models. By emphasizing cultural realism, visual complexity, and linguistic diversity, EuraGovExam establishes a new standard for evaluating VLMs in high-stakes, multilingual, image-grounded settings. It also supports practical applications in e-governance, public-sector document analysis, and equitable exam preparation.

Sáchez Mena, G. Palazzo

R. Matthews

Chien-yi Chang, Xin He

This paper explores the legal implications of violating "robots.txt", a technical standard widely used by webmasters to communicate restrictions on automated access to website content. Although historically regarded as a voluntary guideline, the rise of generative AI and large-scale web scraping has amplified the consequences of disregarding "robots.txt" directives. While previous legal discourse has largely focused on criminal or copyright-based remedies, we argue that civil doctrines, particularly in contract and tort law, offer a more balanced and sustainable framework for regulating web robot behavior in common law jurisdictions. Under certain conditions, "robots.txt" can give rise to a unilateral contract or serve as a form of notice sufficient to establish tortious liability, including trespass to chattels and negligence. Ultimately, we argue that clarifying liability for "robots.txt" violations is essential to addressing the growing fragmentation of the internet. By restoring balance and accountability in the digital ecosystem, our proposed framework helps preserve the internet's open and cooperative foundations. Through this lens, "robots.txt" can remain an equitable and effective tool for digital governance in the age of AI.

Zaza N. Osmanov

The article discusses the possibility of a Type-III extraterrestrial civilization constructing megastructures around a galaxy in regions where the galactic radiation becomes indistinguishable from the CMB radiation. For a Milky Way-like galaxy, we estimated the corresponding distance from its center at which a solar mass megastructure would need to be placed. We also showed that, from an energetic standpoint, placing such a massive object into orbit poses no fundamental difficulties. The detectability of the megastructure was also addressed.

Yingchao Zhang, Cheng Liu

This study proposes a novel few-shot crack image classification model based on CLIP and Bayesian optimization. By combining multimodal information and Bayesian approach, the model achieves efficient classification of crack images in a small number of training samples. The CLIP model employs its robust feature extraction capabilities to facilitate precise classification with a limited number of samples. In contrast, Bayesian optimisation enhances the robustness and generalization of the model, while reducing the reliance on extensive labelled data. The results demonstrate that the model exhibits robust performance across a diverse range of dataset scales, particularly in the context of small sample sets. The study validates the potential of the method in civil engineering crack classification.

Josh Culver, Aubrey Ayres, Evan Halloran et al.

We consider a system consisting of one conservation law and one balance law with a time-dependent source term, and provide a comprehensive analysis of Riemann solutions, including the non-classical overcompressive delta shocks. The minimal yet representative structure of the system captures essential features of transport under density constraints and, despite its simplicity, serves as a versatile prototype for crowd-limited transport processes across diverse contexts, including biological aggregation, ecological dispersal, granular compaction, and traffic congestion. In addition to non-self-similar solutions mentioned above, the associated Riemann problem admits solution structures that traverse vacuum states ($ρ= 0$) and the critical density threshold ($ρ= \barρ$), where mobility vanishes and characteristic speed degenerates. Moreover, the explicit time dependence in the source term leads to the breakdown of self-similarity, resulting in distinct Riemann solutions over successive time intervals and highlighting the dynamic nature of the solution landscape. The theoretical findings are numerically confirmed using the Local Lax-Friedrichs scheme.

Zhangding Liu, Neda Mohammadi, John E. Taylor

Hurricanes cause widespread destruction, resulting in diverse damage types and severities that require timely and accurate assessment for effective disaster response. While traditional single-label classification methods fall short of capturing the complexity of post-hurricane damage, this study introduces a novel multi-label classification framework for assessing damage using aerial imagery. The proposed approach integrates a feature extraction module based on ResNet and a class-specific attention mechanism to identify multiple damage types within a single image. Using the Rescuenet dataset from Hurricane Michael, the proposed method achieves a mean average precision of 90.23%, outperforming existing baseline methods. This framework enhances post-hurricane damage assessment, enabling more targeted and efficient disaster response and contributing to future strategies for disaster mitigation and resilience. This paper has been accepted at the ASCE International Conference on Computing in Civil Engineering (i3CE 2025), and the camera-ready version will appear in the official conference proceedings.

M. Benedikt, F. Zimmermann, B. Auchmann et al.

Volume 3 of the FCC Feasibility Report presents studies related to civil engineering, the development of a project implementation scenario, and environmental and sustainability aspects. The report details the iterative improvements made to the civil engineering concepts since 2018, taking into account subsurface conditions, accelerator and experiment requirements, and territorial considerations. It outlines a technically feasible and economically viable civil engineering configuration that serves as the baseline for detailed subsurface investigations, construction design, cost estimation, and project implementation planning. Additionally, the report highlights ongoing subsurface investigations in key areas to support the development of an improved 3D subsurface model of the region. The report describes development of the project scenario based on the 'avoid-reduce-compensate' iterative optimisation approach. The reference scenario balances optimal physics performance with territorial compatibility, implementation risks, and costs. Environmental field investigations covering almost 600 hectares of terrain - including numerous urban, economic, social, and technical aspects - confirmed the project's technical feasibility and contributed to the preparation of essential input documents for the formal project authorisation phase. The summary also highlights the initiation of public dialogue as part of the authorisation process. The results of a comprehensive socio-economic impact assessment, which included significant environmental effects, are presented. Even under the most conservative and stringent conditions, a positive benefit-cost ratio for the FCC-ee is obtained. Finally, the report provides a concise summary of the studies conducted to document the current state of the environment.

Mustafa Göksu

As it is the case with almost every modern legal system, mediation performs an important role in civil dispute resolution in Türkiye. Even though mediation in the modern sense was introduced in Turkish law a little more than a decade ago, its development and adoption was swift. Probably the main factor behind this quick adoption in legal circles is the push by the Government and the Legislator; particularly through implementing a form of mandatory mediation in 2017. While there are two main approaches to the implementation of proper mandatory mediation, Turkish Legislator preferred the procedural requirement option. After the first implementation regarding labor disputes, there were three more major expansions to the extent of mediation as procedural requirement; including commercial disputes, consumer disputes and various disputes within the jurisdiction of civil courts of peace. Since the expansion trend is still ongoing, in this study, the effectiveness of mandatory mediation, as well as probable future developments regarding the subject are examined and discussed.

Oscar Pazo Pineda

La aprobación de la Ley 32153 ha generado que, en nuestro medio, vuelva a la discusión el estatus jurídico de los pronunciamientos de la Corte Interamericana de Derechos Humanos. Según la reciente modificación normativa, los jueces nacionales solo pueden considerar, a efectos de interpretar los derechos contenidos en la Constitución, los fallos de este tribunal internacional en aquellos casos en los que el Estado peruano ha sido parte. En este artículo, se desarrollarán las razones por las cuales se estima que esta ley, en este punto en particular, resulta inconstitucional, ya que no solo se afecta la facultad de las autoridades jurisdiccionales de seleccionar el material normativo que van a considerar para analizar una controversia, sino que también se afecta la tendencia internacionalista que caracteriza a la Carta de 1993. En ese sentido, se considera que los tribunales domésticos, en virtud del principio del efecto útil (effet utile), pueden considerar, en la interpretación del derecho doméstico, todas las decisiones de la Corte Interamericana de Derechos Humanos, independientemente de si se trata de una sentencia expedida en contra del Estado peruano o no.

Linan Yue, Qi Liu, Binbin Jin et al.

Legal Judgment Prediction is a fundamental task in legal intelligence of the civil law system, which aims to automatically predict the judgment results of multiple subtasks, such as charge, law article, and term of penalty prediction. Existing studies mainly focus on the impact of the entire fact description on all subtasks. They ignore the practical judicial scenario, where judges adopt circumstances of crime (i.e., various parts of the fact) to decide judgment results. To this end, in this paper, we propose a circumstance-aware legal judgment prediction framework (i.e., NeurJudge) by exploring circumstances of crime. Specifically, NeurJudge utilizes the results of intermediate subtasks to separate the fact description into different circumstances and exploits them to make the predictions of other subtasks. In addition, considering the popularity of confusing verdicts (i.e., charges and law articles), we further extend NeurJudge to a more comprehensive framework which is denoted by NeurJudge+. Particularly, NeurJudge+ utilizes a label embedding method to incorporate the semantics of labels (i.e., charges and law articles) into facts to generate more expressive fact representations for confusing verdicts problems. Extensive experimental results on two real-world datasets clearly validate the effectiveness of our proposed frameworks.

Gur Aminadav, Elias Papaioannou, Elias Papaioannou

We provide an anatomy of corporate control around the world after tracing controlling shareholders for thousands listed firms from 127 countries between 2004 and 2012. The analysis reveals considerable and persistent differences across and within regions, as well as across legal families. Government and family control is pervasive in civil-law countries. Equity blocks in widely-held corporations are commonplace, but less so in common-law countries. These patterns apply to large, medium, and small listed firms. In contrast, the association between income and corporate control is highly heterogeneous; the correlation is strong among big and especially very large firms, but absent for medium and small listed firms. We then examine the association between corporate control and various institutional features. Shareholder rights against insiders' self-dealing activities correlate strongly with corporate control, though legal formalism and creditor rights less so. Corporate control is strongly related to labor market regulations, concerning, among others, the stringency of employment contracts, the power and extent of unions. The large sample correlations, thus, offer support to both legal origin and political-development theories of financial development.

Xinhao He, Dan Li

To control structural responses under various actions, the growing use of supplementary damping systems in modern civil engineering structures necessitates inspecting and evaluating their operational performance postinstallation. However, due to the dispersed placement and complex nonlinearities of these devices, difficulties arise in determining minimal sensor configuration. This is inherently connected to a pivotal challenge: establishing a reliable input-output mapping, which comprises both the mathematical model and sensor arrangements. Prior work indicates this can be achieved through theoretical observability analysis or Lie symmetries analysis, both of which provide different perspectives on the existence of a way to access the solutions of a system identification problem uniquely (at least locally). The present study introduces a unified framework, enhanced by algorithm realization as an application guide, for analyzing the observability and Lie symmetries of a given input-output mapping. We demonstrate its implementation via examples of a building structure with various damping systems under different conditions such as seismic loads, wind loads, and operational vibrations. Finally, we present a case study for an isolation building with an inerter damper and minimal sensor arrangement under seismic action. The results demonstrate that the unscented Kalman filter, a system identification method, can precisely estimate structural responses and assess damping device performance once a reliable input-output mapping is established.

Alexandre Mojon, Robert Mahari, Sandro Claudio Lera

Selecting capable counsel can shape the outcome of litigation, yet evaluating law firm performance remains challenging. Widely used rankings prioritize prestige, size, and revenue rather than empirical litigation outcomes, offering little practical guidance. To address this gap, we build on the Bradley-Terry model and introduce a new ranking framework that treats each lawsuit as a competitive game between plaintiff and defendant law firms. Leveraging a newly constructed dataset of 60,540 U.S. civil lawsuits involving 54,541 law firms, our findings show that existing reputation-based rankings correlate poorly with actual litigation success, whereas our outcome-based ranking substantially improves predictive accuracy. These findings establish a foundation for more transparent, data-driven assessments of legal performance.

Elio Quiroga Rodriguez

The search for extraterrestrial intelligence on exoplanets is a rich field of conceptual exploration. Author introduces two definitions that could help to narrow down the possibilities that an extraterrestrial civilization may or may not have initiated exploration of its own star system and beyond. It is concluded that in some cases certain extraterrestrial civilizations may not be able to leave their home worlds to biological extinction, purely because of physical limitations.

Altera. AL, Andrew Ahn, Nic Becker et al.

AI agents have been evaluated in isolation or within small groups, where interactions remain limited in scope and complexity. Large-scale simulations involving many autonomous agents -- reflecting the full spectrum of civilizational processes -- have yet to be explored. Here, we demonstrate how 10 - 1000+ AI agents behave and progress within agent societies. We first introduce the PIANO (Parallel Information Aggregation via Neural Orchestration) architecture, which enables agents to interact with humans and other agents in real-time while maintaining coherence across multiple output streams. We then evaluate agent performance in agent simulations using civilizational benchmarks inspired by human history. These simulations, set within a Minecraft environment, reveal that agents are capable of meaningful progress -- autonomously developing specialized roles, adhering to and changing collective rules, and engaging in cultural and religious transmission. These preliminary results show that agents can achieve significant milestones towards AI civilizations, opening new avenues for large simulations, agentic organizational intelligence, and integrating AI into human civilizations.