bluuebunny/crossref_metadata_2025 huggingface dataset:
Marketing de influencers y publicidad encubierta: dos estudios de caso, España y México
Authors: Jimenez-Iglesias Estefanía , Elorriaga-Illera Angeriñe , Monge-Benito Sergio , Barba-González Rosario
Published: December 2024

Introducción: A través del marketing de influencers las marcas alcanzan a millones de consumidores potenciales en todo el mundo. Sus millonarias audiencias siguen sus publicaciones, entre las que a veces hay espacio para contenidos promocionales no siempre declarados como tales. Nuestro propósito es describir cómo operaba el marketing de influencers en el marco previo a la aprobación del Real Decreto 444/2024 que establece por primera vez los requisitos para regular esta actividad en España para cumplir con la Ley General de la Comunicación Audiovisual. En paralelo, también se analiza el marco legislativo mexicano, en un punto de desarrollo diferente, pero con incidencia y problemáticas comparables. Metodología: Se examinaron un total de 4.000 publicaciones de 80 cuentas de Instagram de influencers de habla hispana. Resultados: El contenido de Instagram ha funcionado como soporte publicitario encubierto en ambos países: aparecen marcas en más de la mitad (España) o más de un tercio (México) de las publicaciones analizadas, y sólo en el 40% de esos casos se señala de manera explícita la naturaleza publicitaria o promocional del contenido. Conclusiones: Esta evidencia constata la necesidad y la oportunidad de ajustes legislativos como el Real Decreto español, que podría considerarse como un ejemplo para otros sistemas publicitarios, en un contexto en el que el marketing de influencers adquiere un peso creciente dentro de la inversión publicitaria en todo el mundo.
Principio de Proporcionalidad en la Prisión Preventiva
Authors: Dueñas Roque Diana , Dueñas Roque Carlos Nicolas
Published: December 2024

Introducción: En las últimas dos décadas en América Latina se han dado diversas reformas en los Sistemas de Justicia Penal, las que consistieron en el reemplazo de Sistemas Procesal Inquisitivos por Sistemas Procesales Garantistas, adoptando Códigos Procesales Penales Garantistas de corte Acusatorio en un contexto de debate sobre posturas teóricas de Derecho Penal Mínimo, Máximo, Populismo Penal, etc, sin embargo, las disposiciones normativas sobre prisión preventiva tienen una tendencia contra reformista, lo que imposibilita experimentar cambios a la luz del Constitucionalismo Contemporánea y la Democracia Constitucional. Metodología: Enfoque cuantitativo con aplicación del Test de Levene, Anova, Chi-cuadrado y Correlación de Spearman. Resultados: Los porcentajes de prisión preventiva y el crecimiento de la tendencia de la población carcelaria en Latinoamérica son muy elevados durante los años 2002 a 2024, siendo evidente la vulneración del derecho al debido proceso, libertad personal y principio de excepcionalidad de la prisión preventiva. Los Jueces de Investigación Preparatoria de Puno, Perú, durante los años 2023 a 2024 no fundamentaron el Principio de Proporcionalidad, requisito esencial para privar de libertad a un ciudadano. Discusión: Los resultados de la presente investigación se condicen con los antecedentes de forma plena. Resulta necesaria la matematización, fundamentación formal, material y pragmática del principio de proporcionalidad, pues su inadecuada, ausente e incompleta descripción y argumentación jurídica en las resoluciones judiciales, transgreden derechos fundamentales y el principio de legalidad. Conclusiones: Los Estados hispanoamericanos deben implementar políticas públicas eficaces de trabajo penitenciario en obras públicas, seguridad ciudadana y educación. En Perú se debe crear un Órgano Auditor Nacional, que se encargue de evaluar la argumentación jurídica de las resoluciones judiciales que conceden las prisiones preventivas.
Figuras de la producción subsidiaria en el arte contemporáneo español: su relación con el artista y su obra
Authors: Galván Lamet Pedro
Published: December 2024

Introducción: El objetivo de este trabajo es evaluar el desarrollo de la producción subsidiaria en el arte plástico en España. Una actividad escasamente estudiada y reconocida. Metodología: El estudio sigue los criterios de la investigación cualitativa a través de unas entrevistas en profundidad y semiestructuradas. La consulta a cuatro productores de arte abarca cinco items que se agrupan en dos bloques temáticos; la relación con el artista, la relación con la obra. Resultados: Evidencian las estrechas relaciones entre artista y fabricators, consolidadas en el tiempo y fundamentadas comercialmente, que aparecen como indispensables para abordar una produccion de calidad artítisca y complejidad tecnológica. Discusión: Se enmarca en el contexto de las consecuencias de tecnologización del arte y las interdependencias entre ideacion y materialización. Además del protagonismo de las mediaciones técnicas en la construccion de la reputación artística. Conclusiones: La importancia y relevancia de estas figuras se manifiesta en cómo la actividad de estos técnicos incide sustancialmente en la obra de artistas fundamentales de nuestro panorama artístico como son, por ejemplo, Juan Muñoz, Miquel Barceló, Cristina Iglesias, o artistas de generaciones más jóvenes, como por ejemplo Dionisio Gonzalez, Jacobo Castellanos y Carlos Irijalba, entre otros.
Marca personal, de la teoría a la práctica
Authors: Altamirano-Benítez Verónica , Duque-Rengel Vanessa
Published: December 2024

Introducción: La práctica docente es considerada un objeto complejo de estudio, por su naturaleza e importancia en el devenir del futuro del público, estando en constante observación, vigilancia y reconstrucción. Por ello, toma importancia la implementación de buenas prácticas docentes, entendidas como el esfuerzo que se efectúa para maximizar los resultados positivos de la cátedra incorporando metodologías activas y tecnicas de ideación ágil. Metodología: La metodología implementada es una combinación de la observación participante que permite evaluar y adpar los procesos educativos y la evalución final de la cátedra “Marca Personal”, dictada a estudiantes de 13 carreras universitarias, cuya técnica de investigación fue la encuesta,  que permitió a los estudiantes valorar el proceso de innovación docente. Resultados: Se evidenció que implementar proyectos reales en el aula permite la aplicación práctica de los conocimientos. Discusión: La innovación docente facilitó la comprensión de los contenidos y favoreció su aplicación práctica, rescatando dos aspectos fundamentales: 1) La revalorización la marca personal y 2) El nivel de aceptación y efectividad de las técnicas y herramientas pedagógicas utilizadas en la cátedra. Conclusiones: En las aulas unversitarias se deben dinamizar e innovar los procesos de enseñanza aprendizaje conviertiendo al estudiante en el centro del proceso educativo.
Innovando en narrativas empresariales: persuasión y adaptaciones a la nueva sociedad
Authors: Viramontes Cabrera Sonia , Barquero Cabrero José Daniel , Domínguez Romero Elena
Published: December 2024

Innovando en narrativas empresariales: persuasión y adaptaciones a la nueva sociedad examina cómo las empresas están transformando sus estrategias de comunicación para conectar con un público global, consciente y cada vez más exigente. En un entorno empresarial marcado por constantes cambios, la innovación y la adaptación son fundamentales para mantener la competitividad. Este monográfico aborda el impacto de las nuevas narrativas en el marketing, la persuasión y la comunicación empresarial, analizando cómo las empresas utilizan técnicas innovadoras para ajustarse a las demandas sociales y tecnológicas actuales. Se exploran casos prácticos de marcas que han logrado evolucionar su discurso para construir relaciones más cercanas con los consumidores, así como el uso de plataformas digitales y redes sociales para fortalecer su presencia en un mundo interconectado.
Innovando en valores del relato cultural y social
Authors: Ramos Ruiz Álvaro , Ruiz Callejón Encarnación , Trujillo Liñán Laura
Published: December 2024

El monográfico "Innovando en valores del relato cultural y social" aborda cómo los relatos culturales y sociales son esenciales para la construcción de identidades colectivas, tradiciones y valores en una sociedad. En un contexto de globalización creciente, los valores tradicionales están siendo cuestionados y reformulados, lo que da lugar a nuevas formas de representación y comprensión cultural. Este trabajo invita a reflexionar sobre las innovaciones en estos relatos, que están modificando las percepciones y valores de la humanidad en la actualidad. Se propone un análisis profundo de cómo estos cambios impactan las interacciones culturales y cómo se redefinen las nociones de identidad y pertenencia en un mundo interconectado. El monográfico ofrece una visión crítica de los procesos que están moldeando el futuro de las culturas y sociedades, destacando la importancia de estos relatos en la transformación de las dinámicas sociales y culturales contemporáneas.
The Role of Social Media in Preserving and Promoting Pukhtoon Culture: A Case Study of Khyber Pakhtunkhwa
Authors: Khan Saima Razzaq , Shah Azmat Ali , - Rubab
Published: December 2024

There are copious methods by which individual sentiments can be embodied. This research study in Khyber Pakhtunkhwa is to examine how social media affects Pashtun values. This research focused on the effects of Youth & adolescents using social media. There are 29 closed-ended questions in the said survey. The researcher communicated with 200 respondents for the survey. The survey's response rate was a monstrous 100%, which was reasonably extraordinary. Male respondents made up an average of 70% of the sample, while the female respondents' average participation rate was 30%. Many countries around the world assert their distinctiveness based on normative patterns. Social networking has facilitated cultural fusion across nations and created a global village. Social media has taken into account cross-national similarities and connected people through technology. Their same interests drew them together, and as a result, they could communicate and comprehend one another.
Analysis of Elder Abuse and Countermeasures for Recurrent Abuse : Focusing on Gyeonggi-do S Senior Citizen Protection Agency
Authors:   Korean Society of Educational Gerontology, Lee Hyun Joo , Mo A-Ra
Published: December 2024

This study aims to understand the current state of elder abuse and analyze the types, frequency, incidence rates, and characteristics of both victims and perpetrators. The objective is to identify the factors influencing the duration of abuse and the likelihood of re-reporting abuse. To this end, 1,239 cases of elder abuse reported to the Gyeonggi S Senior Protection Agency from 2019 to 2023 were reanalyzed. Key findings from the analysis revealed, through multiple linear regression, that certain factors significantly contribute to the extended duration of abuse. These factors include cases involving elderly couples, a dementia diagnosis in the victim, and the victim's lack of completion in preventive education for re-abuse. Furthermore, binary logistic regression analysis showed that victims who had not completed preventive education for re-abuse had a 2.49 times higher likelihood of re-reporting abuse compared to those who had completed the training. This result highlights the importance of preventive education on elder abuse. Based on these findings, the study suggests that strengthening tailored care services for elderly couples, establishing a robust dementia care system, and providing ongoing preventive education for both victims and perpetrators are effective measures to prevent re-abuse. Finally, policy and practical recommendations for preventing elder abuse were proposed based on these research results.
Educational Needs Analysis of Older Adults Based on McClusky’s Educational Needs of the Ageing
Authors:   Korean Society of Educational Gerontology, Choi Soo Yeon , Choi Ilseon
Published: December 2024

The purpose of this study is to examine the educational needs of older adults based on McClusky’s Educational Needs of the Ageing. To this end, 31 educational program items were developed to address the five categories identified by McClusky: coping, expressive, contributive, influence, and transcendence needs. A survey was conducted with 360 older adults aged 60 to 74 residing in the Seoul metropolitan area. Borich’s Needs Assessment and the Locus for Focus Model were utilized to determine the prioritization of these educational needs. The findings revealed that influence, transcendence, and contributive needs were evaluated as having a higher priority than coping and expressive needs. In terms of educational programs, digital literacy, health management, legal and daily life skills, life transition, peer support, awareness-raising activities, environmental protection, mental maturity, and well-dying programs were identified as top priority needs, while music and leadership education programs were ranked as secondary priorities. These findings highlight the importance of a balanced approach to addressing the five categories of educational needs, diversifying educational programs, and strengthening strategies that promote empowerment and social contribution among older adults. The study also calls for developing suitable tools to assess educational needs and criteria for classifying programs for older adults.
Neuroeffects of Microwave EMF Range of Non-Thermal Intensity and Short Exposure
Authors: Lukyanova S. N.
Published: December 2024

The article presents a generalization and analysis of the results of many years of research by the author of the neuroeffects of weak electromagnetic effects in order to answer the questions: do they exist, what are their phenomenology, neurophysiological mechanism, ways of modification? Using electrophysiological and behavioral research methods, the line of effects of weak EMF from the neuron to the brain, the central nervous system (as a system) and the body is shown. In animal experiments and studies with the participation of volunteer testers, their phenomenology, dependence on parameters, modulation mode, and EMF organization are statistically substantiated. As a result, it is concluded that this is a common stimulus of the central nervous system, which in its influence on the body obeys the laws of physiology about the biological significance of the response, ways of its modification and adaptation mechanisms, which is advisable to take into account.
Features of Formation of Electromagnetic Fields of Industrial and Radio-Frequency Ranges in the Conditions of the Modern Residential Development of High Number of Storeys
Authors: Sturman V. I. , Pishchugina A. D. , Cherkasov V. A.
Published: December 2024

The tool research of electromagnetic fields of industrial frequency and radio-frequency range in by Murino of the Leningrad Region is executed. Steady excesses of admissible level of tension on borders of a sanitary rupture of the high-voltage line of 330 kV are revealed. Excesses of admissible levels of magnetic induction and in the radio-frequency range – energy stream density are not revealed. It is established that the difference of values of electric field strength in 1.8 m from a surface and at the height of 72 m reaches 1–2 orders that can be explained only with the grounding Earth’s surface role. Considerable divergences of the settlement and measured values of tension and magnetic induction are revealed that means insufficiently correct account when calculating electrophysical properties of air. The detailed cards of density of a stream of energy showing a difficult, but steady picture of distribution of values are created. Some elements of territorial structure of electromagnetic fields of radio-frequency range – fragments of rings around base stations of cellular communication, and the auras dated for certain houses are revealed.
ANALISIS PERSEDIAAN KEMASAN DRUM STEEL MENGGUNAKAN METODE JUST IN TIME DI PT. TUNAS SUMBER IDEA KREASI KIMIA
Authors: Maftuhi  , Sulistyo Arif Budi
Published: December 2024

PT Tunas Sumber Idea Kreasi Kimia is a company engaged in chemical production, such as alkyd resin, amino resin, acrylic resin and latex emulsion. The purpose of this study is to overcome the excess inventory of steel drum type packaging which causes losses because there are inventory costs consisting of purchase costs, ordering costs and storage costs. The method used in this research is the Just in Time (JIT) method. The results showed that the Just in Time (JIT) method obtained an inventory cost of Rp. 5,244,056,000 which is 10% more efficient than the calculation results according to company policy which obtained an inventory cost of Rp. 5,816,152,000 or a savings of Rp. 572,096,000. So that the Just in Time method can be applied at PT Tunas Sumber Idea Kreasi Kimia to save on inventory costs and improve the company's operational efficiency.
KAJIAN EKSPERIMEN SISTEM PENDINGIN RUANGAN BERBASIS TERMOELEKTRIK DENGAN SUMBER ENERGI DARI PANEL SURYA
Authors: Taufiqurrahman Muhammad
Published: December 2024

Air conditioning system has a very important role in a building, this is to support activities in the building. Conventional cooling systems are based on vapor compression systems using refrigerant as the working fluid in the cycle. Commonly used refrigerant fluids have very high global warming and ozone destruction potential. Prolonged use of refrigerants will have negative impacts on the environment such as greenhouse gases and global warming. Through a photovoltaic (PV) system, solar light energy can be converted into electrical energy. Meanwhile, thermoelectric systems can convert temperature differences into electrical voltage differences or vice versa. Hybridization of the two systems can be used as an air conditioning system in buildings or other equipment. In this research, a prototype of a thermoelectric cooling system was produced with an energy source from solar panels, by determining the cooling temperature of a cube-shaped room with a side length of 30 cm at 26oC, the time required to reach this temperature was 18 minutes, data taken starting at 08.00, able to produce an average daily power from solar panels of 54.25 watts at each data collection. Meanwhile, the Coefficient of Performance of the cooling system in this study was 0.305. This system still cannot be compared with conventional cooling systems, but the cooling system in this research has the advantage of being a cooling system that is capable of producing cooling without using an electrical energy source from PLN.
STUDI KLASIFIKASI TOPIK BERITA DENGAN ALGORITMA MACHINE LEARNING
Authors: Guruh Wijaya  , Dudi Irawan  , Zainul Arifin  , Hardian Oktavianto  , Miftahur Rahman  , Ginanjar Abdurrahman
Published: December 2024

As a result of the use and access of social media, it also has an impact on increasing the amount of data and information, especially text data. Text has become one of the most natural forms of data that is stored, so that the field of text mining is believed to be an advanced field of data mining. Facts that emerge from research studies that have been conducted show that 80% of company information is presented in text documents. Text mining is a multidisciplinary field, involving information retrieval, text analysis, information extraction, and clustering. The text mining classification method is one technique that can be used to carry out classification. Text classification specifically works to group text documents based on categories, and within the scope of news datasets, categories are generally divided into politics, economics, military, sports and others. Statistical methods are one of the most frequently applied methods in text emotion classification. As a method in statistics, Naive Bayes is a classification algorithm that is easy to understand in text classification. Apart from that, Naïve Bayes has good classification effects and performance for processing large-scale data. The conclusion of this research is, Naïve Bayes gets an accuracy value of 77.78%. Random Forest gets an accuracy of 70.1%. KNN gets an accuracy of 24.88% and SVM gets an accuracy value of 80.60%. Meanwhile, the respective running times are Naïve Bayes 0.046 seconds, Random Forest 150 seconds, KNN 15 seconds, and SVM 0.43 seconds.
Case Frames and Case-Based Arguments in Statutory Interpretation
Authors: Araszkiewicz Michał
Published: December 2024

We introduce a novel conceptual Case Frame model that represents the content of cases involving statutory interpretation within civil law frameworks, accompanied by an associated argument scheme enriched with critical questions. By validating our approach with a modest dataset, we demonstrate its robustness and practical applicability. Our model not only provides a structured method for analyzing statutory interpretation but also highlights the distinct needs of lawyers operating under statutory law compared to those reasoning with common law precedents. The model presented here is a step towards developing a hybrid Machine LearningArgumentation system that includes a module for constructing well-structured arguments from textual datasets
Fighting the Knowledge Representation Bottleneck with Large Language Models
Authors: Billi Marco , Pisano Giuseppe , Sanchi Marco
Published: December 2024

This paper implements Large Language Models (LLMs) to support the development of expert systems in the legal domain. Our goal is to tackle one of the most critical issues related to the creation and management of rule-based systems, being the knowledge representation bottleneck. To do so, we employ GPT-4o in combination with an existing expert system developed using the Prolog language, presenting a case study based on multiple tasks. The first task deals with the formalization of legal articles in Prolog given a stable knowledge base and factual structure, including the revision of existing facts. The second task deals with the implementation of case law for updating of the expert system. To do so, it identifies the influence of case law on the application of existing norms, creates new rules and implements them in the system. This paper contributes to the field of law and Artificial Intelligence (AI) by investigating the relationship between LLMs and legal expert systems, and exploring its usefulness for knowledge engineers, as well as contributing to the research of hybrid architectures combining generative and symbolic AI.
Modeling Judicial Discretion with Nuanced Permissions
Authors: Dik Josephine , Markovich Réka
Published: December 2024

Judicial discretion is a central question in both the theory and the practice of law, but it received very little explicit attention from AI&Law yet. What is more, it is often considered as the limitation of what can be formalized in law, which might have serious implications for the future of computational law. In this paper, we introduce a deontic logic extended with nuanced permissions pursuing to grasp the characteristics, normative framework of and reasoning process in the discretionary decision-making of the judge. We illustrate the modeling capacity of the Discretionary Judicial Decision Logic (DJDL) by formalizing examples from an area of law where discretion plays an openly crucial role: family law, more precisely child custody cases.
A Narrative Assistant for Traffic Accidents Based on Large Language Models (LLM)
Authors: Kung Jo-Chi , Chang Chia-Hui , Huang Huai-Hsuan , Chien Kuo-Chun
Published: December 2024

This study introduces the Collision Clarification Generator (CCG), a Large Language Model-based system designed to assist in documenting traffic accidents. The CCG comprises three modules: Questioning, Information Extraction, and Accident Sequence Generation, which collectively streamline the process of gathering and structuring accident information. The system employs predefined question templates and a standardized Traffic Accident Record Format (TARF) to ensure comprehensive data collection. Evaluation of the CCG involved both human assessment and LLM-based automatic evaluation. Results showed an F1 score of 0.909 in human evaluation, and scores exceeding 7 out of 10 for accuracy and completeness in LLM-based assessment. These findings demonstrate the CCG’s effectiveness in accurately documenting accident information, potentially facilitating subsequent legal and insurance processes.
Norm Compliance in Reinforcement Learning Agents via Restraining Bolts
Authors: Neufeld Emery A. , Ciabattoni Agata , Tulcan Radu Florin
Published: December 2024

We modify the restraining bolt technique, originally designed for safe reinforcement learning, to regulate agent behavior in alignment with social, ethical, and legal norms. Rather than maximizing rewards for norm compliance, our approach minimizes penalties for norm violations. We demonstrate in case studies the effectiveness of our approach in capturing benchmark challenges in normative reasoning like contrary-to-duty obligations, exceptions, and temporal obligations.
Automating Fundamental Right Impact Assessment: An Open Experiment
Authors: Zhang Xinyue , Skoric Vanja , Sileno Giovanni
Published: December 2024

With the adoption of the AI Act, fundamental rights impact assessment (FRIA) processes become highly relevant for both public and private institutions; yet such processes can be challenging, especially for small- to medium-sized organizations. One recent research that piloted a partial automation of FRIA is Anticipating Harms of AI (AHA!), relying on the use of a large language model and crowd-sourcing; unfortunately, the paper provides limited insights upon its internal working. Therefore, this work presents AFRIA, a processing pipeline that performs specific aspects of FRIA, conceived with AHA! as inspiration. In order to assess to what extent AFRIA is a successful reconstruction of AHA!, we analyzed the percentage of meaningful harms that AFRIA generates and the distribution of harm categories, and compared it to AHA!’s results, finding a satisfactory convergence. Beyond inspiration from AHA!, we also looked into the requirements of the AI Act and scholarly critique to make AFRIA more meaningful for identifying impacts on fundamental rights, targeting categories of human rights impacts, potential harm mitigation measures, and the severity and likelihood of the harms. The results show opportunities, but also limitations in what type of support this technology can bring.
Ontology-Based Approach for Mapping Concepts and Requirements from Regulations and Standards: The Case of the EU AI Act and International Standards
Authors: Hernandez Julio , Golpayegani Delaram , Lewis David
Published: December 2024

The many initiatives on trustworthy AI result in a confusing and multipolar landscape that organizations are operating within the fluid and complex international value chains must navigate in pursuing trustworthy AI. The EU’s proposed AI Act will now shift the focus of these organizations towards the normative requirements for regulatory compliance. Understanding to what extent standards compliance will deliver regulatory compliance for AI remains a complex challenge. This paper introduces the Trustworthy AI Requirements (TAIR) ontology, a simple and replicable method for extracting and sharing relevant terms and concepts from legal regulations and standard texts into open-knowledge graphs. The TAIR ontology is vital for evaluating the sufficiency of standards conformance for regulatory compliance, providing a foundation for identifying areas where further development of technical consensus in trustworthy AI value chains will be indispensable to achieve regulatory compliance. The evaluation of the TAIR ontology aims to detect errors or inconsistencies based on best practices for ontology design.
Combining Rule-Based and Machine Learning Methods for Efficient Information Extraction from Enforcement Decisions
Authors: Nan Harry , Marx Maarten , Wolswinkel Johan
Published: December 2024

This paper presents an effective and efficient approach for automatic extraction of key features from enforcement decisions, such as their legal basis and their legal effect, by strategically applying a Large Language Model (LLM) on top of rule-based methods. Initially, rule-based methods identify candidate sentences within these decisions containing these features, after which these sentences are analyzed by GPT-3.5 to extract the features. This approach is efficient as it reduces the input and number of resources needed for effective and context aware information extraction. Furthermore, other features that have not been subject to a rule-based selection first can be extracted by an LLM from the same set of candidate sentences when they exist in close proximity of each other.
ConsRAG: Minimize LLM Hallucinations in the Legal Domain
Authors: Nguyen Ha-Thanh , Satoh Ken
Published: December 2024

Retrieval-Augmented Generation (RAG) systems have shown potential in improving legal question-answering applications. However, they often struggle to provide precise information for legal queries, as broad-topic relevance may not always align with contextual usefulness. To address this challenge, we introduce Constrained Retrieval-Augmented Generation (ConsRAG), a novel approach that employs aspect-based constraints during both retrieval and generation phases. ConsRAG aims to enhance precision and contextual relevance in legal outputs through these constraints and an iterative backtracking mechanism. Our experiments suggest that ConsRAG may offer improvements over existing systems in terms of accuracy and relevance of retrieved documents. This paper presents the framework, implementation, and evaluation of ConsRAG, exploring its potential to enhance the reliability of legal AI applications.
Legal-Emotional BATNA: AI Chatbot Addressing Divorce Legalities and Emotional Complexities, and Research of Social Implementation in Japan
Authors: Oshio Kohei
Published: December 2024

This paper introduces “Legal-Emotional BATNA,” an AI chatbot that integrates legal and emotional aspects of divorce, guiding users toward balanced solutions. The chatbot provides legal advice on child support, spousal support, property division, pension splitting, and compensation for emotional distress, using algorithms and legal precedents. Additionally, it prompts users to reflect on their emotional state, fostering a more holistic approach to resolving divorce issues. The research evaluates the chatbot’s performance through user surveys and explores its potential for societal implementation in Japan, offering early-stage legal guidance and bridging users to professional legal services.
Building Applications with Purpose: Bridging Human-Centered Design and Human-Centered Artificial Intelligence in Legal Tech with the Double Diamond
Authors: Wehnert Sabine , De Luca Ernesto William
Published: December 2024

The concept of human-centeredness exists in the fields of software ergonomics and artificial intelligence. In this work, we propose how key principles from both disciplines can be applied together in a unified software design process. While the research community for legal artificial intelligence is well-aware of common requirements, such as explainability and privacy, work on Human-Centered Design focusing on creating and evaluating the user experience is rare. We contribute a blueprint for future legal system design optimized for user experience and common requirements of legal artificial intelligence applications.
Harmonizing AI Data Governance: Profiling ISO/IEC 5259 to Meet the Requirements of the EU AI Act
Authors: Aiyankovil Kuruvilla George , Lewis Dave
Published: December 2024

This paper explores the alignment between ISO/IEC 5259 data quality standards and the mandatory data governance requirements of EU AI Act, Article 10. It introduces the concept of qualifiedCompliance, based on the W3C PROV-O model, to connect compliance activities with legal obligations. This approach enhances tracking, transparency, and accountability, enabling organizations to demonstrate adherence to both legal and technical norms.
Structured Legal Argumentation with LLMs: A Study in Landlord-Tenant Law
Authors: Fournier Gregoire , Linna Jr. Daniel W.
Published: December 2024

Large Language Models (LLMs) have demonstrated capabilities across a wide range of tasks, including natural language understanding, language generation and generating basic reasoning. To improve the accuracy and reliability of these models, various prompting, augmentation, and fine-tuning strategies have been employed. In this paper, we use context augmentation and Chain-of-Thought (CoT) instructions to generate legal arguments for specific landlord-tenant problems using OpenAI’s GPT-4o. We test this approach using ten hypothetical landlord-tenant scenarios, five provided by a legal aid organization, four generated with Anthropic’s Claude, and one crafted by us. We evaluate each argument for accuracy, factuality, comprehensiveness, and relevance to the scenario. This method of generating legal reasoning with LLMs offers the advantage of being verifiable by legal professionals, while also providing valuable assistance to laypersons in drafting documents such as demand letters, which can help expand access to justice.
A Logical Framework for Weak Permissions in Criminal Procedure
Authors: Governatori Guido , Rotolo Antonino
Published: December 2024

We study weak permissions in criminal trials, which require judicial determination due to the absence of explicit prohibitions. We thus sketch a dialogue game to address this issue, analyzing argumentative dynamics with common and private knowledge. By applying various argumentation semantics, we clarify the procedural implications for weak permissions.
A Legal Assistant for Accountable Decision-Making1
Authors: Kaczmarczyk Adam , Libal Tomer , Smywiński-Pohl Aleksander
Published: December 2024

We describe a chatbot system capable of providing legal assistance and advice. It combines several approaches to processing legals problems, including formal logic-driven and the use of language models. This combination allows building a chatbot that can realize two major goals: perform legal reasoning with 100% accuracy and provide the user with explanations allowing them to understand the legal problems connected with their case.
Addressing Causal Puzzles in Law Through Argumentation
Authors: Liepiņa Rūta , Pisano Giuseppe , Sartor Giovanni
Published: December 2024

Causality is vital for establishing legal liability, but traditional analyses often fail to address complex scenarios and conflate causation with legal responsibility. This paper presents a novel approach to cause-in-fact based on argumentation theory which also assesses whether a cause-in-fact lacks legal relevance.
A Multi-Stage Prompting and RAG Approach to Generating Legal Analysis in Common Law Systems1
Authors: Ng Titus T.H. , Wu Tien-Hsuan , Chen Benjamin Minhao , Chen Yongxi , Kao Ben
Published: December 2024

We explore the use of multi-stage prompting with retrieval-augmented generation (RAG) in generating legal analysis. We break the complex legal problems into small steps, including initial analysis, legal query formulation, legal sources retrieval, legal reasoning, result consolidation, and output generation. The design of this framework emulates the process a legal professional in a common law system approaches the problem.
Coercive Coercion Rhetoric as a Reason for Criminal Abolition (Analysis of LGBT Group Sexual Activity Deviations)
Authors: M. Surya Darma  , Rajin Sitepu
Published: December 2024

Sexual behavior is a deviant behavior, basically an abnormal sexual orientation in general. Sexual orientation itself is a tendency that leads to a sense of attraction, romance, emotional and sexual to men, women, or a combination of both. This deviant sexual behavior is carried out by people who have a deviant sexual orientation, which is then known as the LGBT group (Lesbian, Gay, Bisexual, and Transgender/ Transsexual). This research is Normative Law research; the data in this research is secondary data obtained from library materials using library research as a theoretical basis related to the problem researched by the author. The research results show that, First, there is a correlation between physical or biological disabilities and deviant sexual activity in LGBT people. Second, deviations from the sexual activities of LGBT people due to physical or biological defects must be seen as a reason for the abolition of punishment due to coercive force, as stipulated in Article 48 of the Criminal Code, must be seen as coercive forces because deviations from the sexual activities of LGBT people are carried out by encouragement. from within LGBT people which they cannot avoid, just as an act cannot be avoided due to factors within the perpetrator of the criminal act, the meaning of coercive force which has so far been interpreted as coming from within the perpetrator must be reorganized so that it also includes power. Force that comes from within the maker.
Functional Split-tRNA: A New Perspective on the Codon Decoding Mechanism
Authors: Mureev Sergey , Wu Yue , Cui Zhenling , Alexandrov Kirill
Published: December 2024

The translation machinery must rapidly and accurately process all codon triplets despite large differences in the stability of codon:anticodon duplexes. The constrained structure and intramolecular cooperativity of tRNA complicate understanding how its structural elements influence the thermodynamics and kinetics of the selection process. Specifically, it remains unclear whether codon:anticodon complex stability controls kinetics of tRNA selection beyond the codon recognition step. To address this we engineered fully functional split-tRNAs with a dangling anticodon triplet instead of an anticodon loop. Using this tool, we demonstrated that codon-anticodon complex stability is primarily influenced by the dipole moments of adjacent nucleobases and does not control the rate of GTP hydrolysis by EF-Tu. We conclude that the codon-anticodon minihelix functions as a passive steric gate of decoding site closure.
Staying in Power: How Does Political Continuity Shape Debt?
Authors: Bonet-Morón Jaime , Ayala-García Jhorland , Guerra-España Jorge
Published: December 2024

This paper investigates the relationship between political continuity and public municipal debt in Colombia, highlighting how political cycles influence fiscal behavior at the subnational level. Unlike national cycles, local political dynamics, marked by consecutive electoral victories of the same party, significantly impact fiscal policy and debt accumulation. Using a Kink Regression Discontinuity design, we explore the effects of these electoral outcomes on public financial debt. Our findings reveal that municipalities governed by the same party or coalition across successive elections exhibit a 0.25% increase in debt levels for every percentage point increase in their election win margin. This trend becomes more pronounced over time, with debt levels peaking in election years. The robustness of our results is confirmed through various bandwidths and placebo tests, which include random shuffling of electoral outcomes and reassignment of electoral results from different years. Our study contributes to the understanding of how political stability or continuity can shape fiscal outcomes at the regional level, a topic that has received limited attention in the political economy literature.
Rancang Bangun Sistem Informasi Billing Berbasis Website di Heyklin Laundry Ciparay
Authors: Ferdiawan Vega , Suyatna Nano
Published: December 2024

The information system currently used at Binar Ilmu Boarding School (BIBS) is still an unintegrated Heyklin Laundry is a business that runs a business in the field of laundry services. Based on a survey that has been conducted so far, Heyklin Laundry does not have its own information system and still uses a manual system, this laundry also does not have an accurate database storage system so all data is still stored in a book. To overcome this problem, an application will be designed that can help the Heyklin Laundry business so that this application can provide from Heyklin Laundry about laundry services offered to customers, facilitate the process of making income reports quickly, precisely and accurately, provide professional service to customers and minimize possible errors.
Politeness Strategies Used by An English Teacher in Making Request at The Eleventh-Grade Students of SMAN Cimanggung Sumedang
Authors: R. Santosa Tinanthy , H. Pratama Shadam Hussaeni , S. Widianingsih Ayang W.
Published: December 2024

In teaching English, the teacher has a role in creating a classroom atmosphere that makes students willing to learn. There are politeness strategies that can be used by teachers in requesting students. This study aims to find the types of politeness strategies used and to find the implications of using politeness strategies in the teaching and learning process. To analyse the politeness strategies used by the teacher, a theory proposed by Brown and Levinson (1978) is used. The politeness strategies are bald on record, positive politeness, negative politeness, and off record. This study uses qualitative research with descriptive analysis at the eleventh-grade class in SMAN Cimanggung. As the result, there are four politeness strategies used by teacher in making request: bald on record, positive politeness, negative politeness, and off record. This study also found out the implications of using politeness strategies are effective communication, cooperative interaction, and less imposition. Besides, the result can be used as evaluation material for teachers and schools in using politeness strategies to persuade the students to fulfill the request. For further studies can be conducted at a different focus thus the use of politeness strategies will more revealed.
ПІДГОТОВКА МАЙБУТНІХ ВИХОВАТЕЛІВ ДО ЕСТЕТИЧНОГО ВИХОВАННЯ ДІТЕЙ ДОШКІЛЬНОГО ВІКУ В ПРОЦЕСІ ВИВЧЕННЯ ПЕДАГОГІКИ ДОШКІЛЬНОЇ
Authors: АТОРІНА Вікторія
Published: December 2024

У статті висвітлено зміст підготовки майбутніх вихователів закладів дошкільної освіти до естетичного виховання дітей дошкільного віку під час вивчення нормативної навчальної дисципліни «Педагогіка дошкільна» в педагогічному закладі вищої освіти. Означено аспекти сучасних актуальних досліджень проблеми естетичного виховання дітей дошкільного віку в закладах дошкільної освіти та розвитку естетичної компетентності майбутніх фахівців дошкільної галузі в психолого-педагогічній літературі. Представлено авторське визначення поняття «естетична компетентність майбутніх вихователів закладів дошкільної освіти», яке трактується як здатність до естетичного сприймання, переживання, оцінювання та перетворення світу за законами краси, сформованість естетичного ідеалу, смаку, цінностей, наявність розвинених естетичних почуттів, суджень, знань у галузі естетики, дошкільної педагогіки і психології та вмінь застосовувати їх в естетичному вихованні дітей. Визначено основні складники естетичної компетентності майбутніх вихователів закладів дошкільної освіти, а саме: мотиваційний, особистісний, когнітивний, діяльнісний, рефлексивний, які безпосередньо пов’язані між собою. Розроблено рекомендації для науково-педагогічних працівників закладів вищої освіти щодо підготовки майбутніх вихователів до естетичного виховання дошкільників у процесі викладання нормативної навчальної дисципліни «Педагогіка дошкільна» в педагогічному закладі вищої освіти. Наведено приклади завдань для здобувачів вищої освіти освітнього ступеня «Бакалавр», які впливають на їхній естетичний розвиток. Визначено напрями подальших наукових досліджень, що полягають в розробленні сучасних ефективних форм, методів та психолого-педагогічних умов розвитку естетичної компетентності майбутніх вихователів в умовах дистанційного навчання.
КУЛЬТУРОЛОГІЧНІ АСПЕКТИ ЕСТЕТИЧНОГО ВИХОВАННЯ УЧНІВ ПОЧАТКОВОЇ ОСВІТИ ЗАСОБАМИ УКРАЇНСЬКОГО ПІСЕННО-ТАНЦЮВАЛЬНОГО ФОЛЬКЛОРУ
Authors: ВЛАДИМИРОВА Алла
Published: December 2024

У статті розкриваються культурологічні аспекти естетичного виховання учнів початкової освіти засобами українського пісенно-танцювального фольклору. Український пісенно-танцювальний фольклор має глибокі корені та багатовікову історію і тісно пов’язаний із життям українського народу, що відображено у побуті, звичаях, віруваннях, прагненнях до краси та свободи. У народних піснях і танцях втілені найкращі людські якості: доброта, працьовитість, щирість, оптимізм, гумор, а також відображені радощі та печалі, мрії та сподівання людей. Охарактеризовано погляди науковців у галузі культурології етнокультури, мистецтвознавства, музикознавства, соціології музики, етнографії, фольклористики, української хореографії, які акцентують свою увагу на широкому синтезі питань, що пов’язані із функціонуванням, розвитком та збагаченням етномузичних, етнопісенних, етнотанцювальних цінностей в якості засобу естетичного виховання. Вказано на емпіричні, а також теоретичні дослідження науковців у галузі культурології та етнокультури, які прогнозують процеси розвитку української музичної культури та визначають перспективи використання українського пісенно-танцювального фольклору в системі естетичного виховання дітей. Проаналізовано український дитячий пісенно-танцювальний фольклор, як складову музичної творчості, що відбиває різнобарв’я життя людей і виступає результатом як індивідуальної, так і масової музичної творчості, що діалектично взаємозалежні між собою та є важливим проявом естетичної свідомості, думок, фантазії, мрій, що виражають актуалізовані почуття, настрої, прагнення та ідеали. Безперечно, український дитячий пісенно-танцювальний фольклор являє собою значний за обсягом та змістом світ народної музично-поетичної творчості. Розглянуто використання українського пісенно-танцювального фольклору в естетичному вихованні учнів початкової освіти, що є важливим чинником формування гармонійної особистості, яка володіє національною самосвідомістю, естетичним смаком, високими моральними якостями, творчим потенціалом та відчуттям єднання із своєю культурою та народом.
СТАН ПСИХІЧНОГО ЗДОРОВ’Я СТУДЕНТСЬКОЇ МОЛОДІ В УМОВАХ СЬОГОДЕННЯ
Authors: КРИЖАНОВСЬКА Зореслава , РАДЧУК Наум
Published: December 2024

Мета. У запропонованій статті здійснено огляду існуючих психологічних теорій щодо значення психічного здоров’я студентської молоді та емпіричному дослідження його якості в умовах воєнного конфлікту. Методи. Теоретична частина роботи будувалася на основі порівняльного аналізу вітчизняних науково-теоретичних досліджень щодо проблеми емоційних розладів та їх впливу на якість психічного здоров’я у студентському віці. На основі здійснених теоретичних пошуків та узагальнень було розроблено програму емпіричної перевірки визначених положень. Достовірність та надійність результатів забезпечувалася науково-методологічною обґрунтованістю дослідження, використанням адекватних поставленим завданням методів та репрезентативністю вибірки. Результати. Підтримка психічного здоров’я студентів є критичним аспектом, що впливає на їхнє академічне та особистісне зростання, соціальне функціонування і загальний добробут. У ході цього дослідження було встановлено, що студентське життя часто супроводжується значними психоемоційними навантаженнями, які можуть спричинити тривожність, стрес, емоційне виснаження та навіть вигорання. Недооцінка цих проблем може негативно позначитися на навчальних результатах, а також на здоров'ї молодих людей у довгостроковій перспективі. У дослідженні визначено низку важливих методів підтримки психічного здоров’я для студентів, які включають як особистісні стратегії (саморегуляція, розвиток стресостійкості, організація часу), так і зовнішню підтримку (психологічні консультації, участь у студентських групах підтримки, просвітницькі програми з психічного здоров'я). Значна роль належить навчальним закладам, які можуть сприяти психічному благополуччю студентів через забезпечення доступу до кваліфікованої допомоги, створення дружнього й безпечного освітнього середовища та впровадження освітніх програм із психологічної грамотності.