Search Results (156)

In Italy, the law on road homicide (Law no. 41/2016) introduced specific provisions for drivers who cause severe injuries or death to a person due to the violation of the Highway Code. The use of alcohol or drugs while driving constitutes an aggravating circumstance of the offence and provides for a tightening of penalties. Our study aims to report on the analysis performed on blood samples collected between January 2018 and December 2024 from drivers convicted of road homicide and who tested positive for alcohol and/or drugs. The majority of the involved subjects were males belonging to the 18–30 and 41–50 age groups. Alcohol, cocaine and cannabinoids were the most detected substances and the most frequent polydrug combination was alcohol and cocaine. We also investigated other influencing factors in road traffic accidents as the day of the week and the time of the day in which fatal road traffic accident occurred, and the time elapsed between the road accident and the collection of biological samples. Our data, in line with the international scenario, strongly support that, in addition to the tightening of penalties, raising awareness plays a key role in preventing alcohol- and drug-related traffic accidents by increasing risk perception and encouraging safer driving behaviors. Full article

In today’s competitive environment of online service industries, particularly e-commerce, meeting consumer expectations is essential for service providers to ensure service quality. However, service failures are unavoidable, leading to unfavorable consequences for businesses. Understanding the mechanisms for customer recovery after negative service experiences is crucial. Using cognitive–emotional personality systems theory and benign violation theory, this study constructed a theoretical model. A total of 351 samples were collected through a situational simulation experiment for a linear regression analysis. A self-mocking response strategy positively influenced brand trust through perceived brand authenticity regarding the dimensions of credibility, integrity, and symbolism. Simultaneously, brand trust was identified as a key driver of post-recovery satisfaction. This study proposes a chain mediation model, which incorporates perceived authenticity and brand trust, to fully comprehend the mechanisms underlying consumers’ satisfaction after service recovery. Our findings provide empirical evidence for the effects of self-mockery on post-recovery satisfaction, as well as suggestions for marketers seeking efficient means to meet consumers’ emotional and cognitive demands during service recovery situations. Full article

The paper aims to determine the associations of mediators’ religiosity, assessed as self-reported religious belief and religious practice frequency, with their recognition of the existence of a work ethic of mediators, their personal approach to the occupation, their values, their adherence to the rules of mediation, and their perception of its objectives. The article is based on the results of a quantitative study conducted among Polish court mediators (n = 391). It was found that the mediators who were religious believers and regularly practiced their religion were more often convinced about the existence of a work ethic, treated work in their occupation as an opportunity to help people, and remained neutral in disputes, but they were also more inclined to violate the principle of impartiality by being prepared to conduct mediation in their friends or family members’ cases. Our research on mediators’ work ethic may be useful in raising the standards of mediator training in specific areas of specialization, including working with migrants and multicultural communities, enhancing the effectiveness of mediations, improving their quality, and boosting the level of disputants’ satisfaction. Full article

Deviance is defined as actions that are opposed to generally accepted norms or violate acceptable behaviours within a society. Much of the deviant literature emphasises how the divergence from acceptable standards or behaviour is deviant. However, this begs the question: what happens when an acceptable norm is unethical or ought to be? In response, this entry calls into question the work-chop phenomenon in Nigeria. The work-chop phenomenon supports using dishonest means for personal gain. It is promoted via a repetitive statement that appeals to the listeners’ cognition and sentiments. Its prevalence makes it a norm in some sense, so defining deviance from a Western perspective alone leaves room for this nuanced phenomenon to go unnoticed in the literature. Based on secondary research and normative ethical theories, the authors argue that work-chop is ethical deviance because its means and ends are not mutually beneficial to the parties involved. Full article

This systematic theological study critiques the utilitarian religiosity among neo-Pentecostal prophets (NPPs) for promoting a dealmaking or ‘spiritual hustling’ approach to faith, rather than fostering a personal relationship with God. Utilitarian religiosity refers to the use of spirituality as an instrument to extract material blessings from God. NPPs represent a contemporary form of African Pentecostalism, characterised by prophetic figures who claim unique divine mandates to liberate individuals from the evil spirits believed to hinder prosperity in this life. The primary question answered in the article is as follows: how does the relational nature of faith in God in Christian theology challenge the utilitarian view of spirituality among neo-Pentecostal prophets (NPPs) in Zimbabwe? The secondary question is as follows: how should Christian faith be understood and articulated to challenge NPPs to move from utilitarian spirituality to relational spirituality? Utilitarian religiosity is critiqued for promoting a works-based relationship with God, which violates the biblical teaching that faith alone is sufficient to establish a connection with God. The NPPs’ utilitarian spirituality is critiqued from a Reformed theological emphasis on salvation by faith and challenges them to propagate a relational spirituality that comforts and empowers the poor, rather than a utilitarian spirituality rooted in dealmaking that renders God distant from those who most urgently need his presence amid existential struggles. Full article

This study addresses the problem of simultaneous variable selection and model estimation in multivariate failure time data, a common challenge in clinical trials with multiple correlated time-to-event endpoints. We propose a unified framework that identifies predictors shared across outcomes, applicable to both low- and high-dimensional settings. For linear marginal hazard models, we develop a penalized pseudo-partial likelihood approach with a group LASSO-type penalty applied to the ${\mathsf{\ell }}_2$ norms of coefficients corresponding to the same covariates across marginal hazard functions. To capture potential nonlinear effects, we further extend the approach to a sparse-input neural network model with structured group penalties on input-layer weights. Both methods are optimized using a composite gradient descent algorithm combining standard gradient steps with proximal updates. Simulation studies demonstrate that the proposed methods yield superior variable selection and predictive performance compared to traditional and outcome-specific approaches, while remaining robust to violations of the common predictor assumption. In an application to advanced prostate cancer data, the framework identifies both established clinical factors and potentially novel prognostic single-nucleotide polymorphisms for overall and progression-free survival. This work provides a flexible and robust tool for analyzing complex multivariate survival data, with potential utility in prognostic modeling and personalized medicine. Full article

With the widespread adoption of electric vehicles (EVs), optimizing their charging and discharging strategies to improve energy efficiency and extend battery life has become a focal point of current research. Traditional charging and discharging strategies often fail to adequately consider the battery’s state of health (SOH), resulting in accelerated battery aging and decreased efficiency. In response, this paper proposes a safe reinforcement learning–based optimization method for EV charging and discharging strategies, aimed at minimizing charging and discharging costs while accounting for battery SOH. First, a novel battery health status prediction model based on physics-informed hybrid neural networks (PHNN) is designed. Then, the EV charging and discharging decision-making problem, considering battery health status, is formulated as a constrained Markov decision process, and an interior-point policy optimization (IPO) algorithm based on long short-term memory (LSTM) neural networks is proposed to solve it. The algorithm filters out strategies that violate constraints by introducing a logarithmic barrier function. Finally, the experimental results demonstrate that the proposed method significantly enhances battery life while maintaining maximum economic benefits during the EV charging and discharging process. This research provides a novel solution for intelligent and personalized charging strategies for EVs, which is of great significance for promoting the sustainable development of new energy vehicles. Full article

The intersection of digitalization and sustainability is reshaping the tourism industry, with digital platforms playing a transformative role in optimizing travel experiences while simultaneously influencing economic inclusivity, labor dynamics, and environmental responsibility. This paper explores how Industry 4.0 technologies—such as artificial intelligence (AI), big data, blockchain, virtual reality (VR), and the Internet of Things (IoT)—are integrated into digital tourism platforms, assessing their dual impact on sustainability and market structures. The study develops a conceptual framework around five key dimensions: market power and digital dependency, AI-driven automation and workforce transformation, innovation and digital inclusion, sustainability innovations, and data security and governance. While digital platforms enhance personalization, operational efficiency, and eco-conscious travel, they also reinforce economic disparities, monopolization, and regulatory challenges, raising concerns related to SDGs such as SDG 1 (No Poverty), SDG 5 (Gender Equality), SDG 8 (Decent Work and Economic Growth), SDG 9 (Industry, Innovation and Infrastructure), SDG 10 (Reduced Inequalities), SDG 12 (Responsible Consumption, and Production), SDG 13 (Climate Action), and SDG 16 (Peace, Justice, and Strong Institutions). The study highlights the need for equitable governance frameworks to mitigate risks associated with AI-driven monopolization, algorithmic bias, and data privacy violations while ensuring digital accessibility for small and medium-sized enterprises (SMEs). The findings contribute to ongoing discussions on platform economics, digital governance, and sustainable tourism transformation, offering policy and managerial implications for fostering an inclusive and environmentally responsible tourism industry. Full article

Within the past five years, and as Artificial Intelligence (AI) increasingly pervades the academic and educational landscape, a delicate balance has emerged between leveraging AI’s transformative potential and safeguarding individual privacy, which needs to be carefully maintained. The preservation of user privacy entails severe financial risks via penalties for the violation of directives such as General Data Protection Regulation (GDPR). This manuscript examines three neoteric approaches to data privacy protection in AI-empowered lifelong education. The first method uses Triple-Entry Accounting (TEA) together with Distributed Ledger Technology (DLT); the second method uses a transaction Merkle tree that can be used as a “proof of existence” so that the users can safeguard their personal information; and the third approach examines the advantages and disadvantages of an offline AI-tutor multimodal model that can operate without internet access. Finally, the ethical implications of deploying such technologies are critically discussed, emphasizing the necessity of achieving privacy while retaining the human factor in education. Full article

As the use of personal mobility (PM) devices continues to rise, regulatory violations have become more frequent, highlighting the need for technological solutions to ensure efficient enforcement. This study addresses these challenges by proposing an AI-based enforcement platform. The system integrates the You Only Look Once version 5 (YOLOv5) object detection model, a deep-learning-based framework, with Global Positioning System (GPS) location data, Raspberry Pi 5, and Amazon Web Services (AWS) for data processing and web-based implementation. The YOLOv5 model was deployed in two configurations: one for detecting electric scooter usage and another for identifying legal violations. The system utilized AWS Relational Database Service (RDS), Simple Storage Service (S3), and Elastic Compute Cloud (EC2) to store violation records and host web applications. The detection performance was evaluated using mean average precision (mAP) metrics. The electric scooter detection model achieved mAP50 and mAP50-95 scores of 99.5 and 99.457, respectively. Meanwhile, the legal violation detection model attained mAP50 and mAP50-95 scores of 99.5 and 81.813, indicating relatively lower accuracy for fine-grained violation detection. This study presents a practical technological platform for monitoring regulatory compliance and automating fine enforcement for shared electric scooters. Future improvements in object detection accuracy and real-time processing capabilities are expected to enhance the system’s overall reliability. Full article

This study analyzes the award-winning documentary film Searching for Rodakis, directed by Kerem Soyyilmaz, produced in 2023. The aim of this study is the historic comprehension and analysis of this filmic narrative in the field of social–semiotic literacy and its utilization in historical studies for approaching issues of conflict in modern history, otherness, collective experience and trauma, and collective memory. The research material is the documentary Searching for Rodakis (produced by Denmark, Turkey 2023; screenplay/director, Kerem Soyyilmaz; duration, 57’), which received the following awards: Adana Golden Boll FF 2023 Turkey | Best Documentary, Thessaloniki International Doc. Festival 2023 Greece, Greek Film Festival Los Angeles 2023 USA, and Istanbul Documentary Days 2023 Turkey. As regards the historic context, the year of production, 2023, coincides with the 100th anniversary of the signing of the Treaty of Lausanne, where Turkey’s current borders were set and the “population exchange” legally sealed, i.e., the violent expulsion of 400,000 Muslims, citizens of Greece, many of whom spoke only Greek, and 200,000 Orthodox citizens of Turkey, who in the majority spoke Turkish. At the same time, the Treaty of Lausanne ratified and finalized the expulsion of approximately one million Orthodox who were forced to leave the Ottoman Empire, as well as 120,000 Muslims who had fled Greece since the beginning of the Balkan Wars (1912–1913). About two million people were deported and lost their citizenship and property, in the context of “national homogeneity” (which connotes an ethnic cleansing), with the official states ignoring the criticisms of lawyers and academics who spoke of violations of constitutional rights. Mohammedan Greeks, estimated at around 190,000 as early as 1914, based on ecclesiastical statistics in the Pontus region, did not receive attention from the provisions of the Treaty of Lausanne, even though linguistically and culturally (origin, customs, culture and traditions) they did not differ in any way from the Orthodox Greeks. In Turkey, there was general indifference to the thousands of desperate people who arrived, with the exception of a few academics and the Lausanne Exchange Foundation. The filmic scenario is as follows: as a Greek tombstone of unknown origin is discovered underneath the floorboards in an old village house in Turkey, an almost forgotten story from the country’s creation unravels—the forced population exchange between Greece and Turkey in 1923. The engraved Greek letters tell of a woman, Chrysoula Rodaki, who died in 1887. Thus the search for her descendants begins. It leads director Kerem Soyyilmaz to local archives, where his own family’s role in history is laid bare; to abandoned ghost towns, and through the memories of older villagers—all while Soyyilmaz meets massive support for his quest from Greeks on the other side of the border. The stone becomes a portal to the past—and for a while, the trauma becomes redeemed when the previous owners of the village house return. Searching for Rodakis is a movie that reconnects people, culture, and the stories that were discarded in order to build a strong, nationalist state—told through the director’s personal experiences. The research questions, as they arise from the cinematographic material itself, are as follows: How is the historical memory of traumatic events of the previous century, such as the exchange of populations according the Treaty of Lausanne, recorded in the cinematographic narrative? What are the historical sources? To what extent did the origin, ethnicity, and geographical location of the narrators as participants influence the preservation of historical memory and the historical research? What are the criteria of the approach of the creator, and what are the criteria of the participants? Methodologically, we apply historic and socio-semiotic analyses in the field of public and digital history. The results: The types of historical sources found in filmic public discourse include the oral narration of testimonies, of experiences and of memories, as well as the director’s historical research in state archives, the material cultural objects, and the director’s digital research. Thus, historic thematic categories occur, such as the specific persons and actions in Turkey/Greece, actions on-site and in online research, and the types of historical sources, such as oral testimonies, research in archives, and objects of material culture. Sub-themes such as childhood, localities and kinship also emerge. These cinematic recordings of biographical oral narratives as historical and sociological material help us understand the political ideologies of the specific period, between the years 1919 and 1923. The multimodal film material is analyzed to provide testimonies of oral and digital history; it is utilized to approach the historical reality of “otherness”, seeking dialogue in cross-border history in order to identify differences, but above all the historic and cultural similarities against sterile stereotypes. The historic era and the historic geography of the Greek and Turkish national histories concern us for research and teaching purposes a hundred years after the Treaty of Lausanne which set the official borders of the countries. Full article

Motorcycles are a prominent contributor to most fatalities arising from traffic incidents, primarily due to drivers’ failure to adhere to traffic laws. Notably, differences in traffic violation frequency between urban and rural motorcyclists can be ascribed to variations in law enforcement practices and security budget allocations between these areas. This study aims to identify the key determinants influencing the frequency of traffic violations across these distinct geographical regions. The investigation incorporates independent variables such as personal demographics (including gender and age), driving experience, and attitudes toward traffic regulations. The analysis involved the formulation and examination of two separate logit models, each corresponding to urban and non-urban characteristics. The outcomes of a transferability test highlighted distinct disparities between the two models, with the rural model demonstrating a higher number of significant variables. In both models, certain variables consistently influenced the frequency of traffic violations. Lower violation frequencies were associated with factors such as specific age ranges, frequency of driving, and possession of a driver’s license. The insights derived from this study were leveraged to formulate policy recommendations to curb traffic violations among motorcyclists, contributing to enhancing overall traffic safety. Full article

Background/Objectives: The objective of this study was to assess the unidimensionality and internal structure of the Arabic version of the Oswestry Disability Index (ODI) in patients with lower back pain (LBP) using the Rasch measurement model. Methods: Patients with LBP (N = 113) completed the Arabic ODI during their first visit to physical therapy departments. The Arabic ODI was examined by assessing its fit to the requirements of the Rasch measurement model. Chi-square statistics for item–trait interaction alongside mean item and person fit residuals were used for overall model fit assessment. Additionally, the analysis included assessments for the fit of individual items, the sequence of thresholds, local dependency, unidimensionality using the t-test method, and differential item functioning (DIF) by sex, age, chronicity, and the presence of radiating pain. Results: The overall fit of the Arabic ODI to the Rasch measurement model was supported by non-significant Chi-square statistics (χ² = 25.32, p = 0.19) and acceptable mean item and person fit residuals. All items showed acceptable fit (standardized fit residual −1.89 to 1.62) with no violation of local item independence. The t-test method supported the scale’s unidimensionality. The ODI showed good internal consistency with a person separation index of 0.85, with good overall targeting of item thresholds to the participants’ lower back function. Items 2, 7, and 10 showed disordered thresholds, and potential bias by sex was detected in item 9 (social life). Conclusions: The Arabic ODI is a unidimensional measure valid for assessing disability due to low back pain; however, indications of the inappropriate functioning of some response options along with potential bias by sex need to be revisited. Full article

This article examines the relationship between human trafficking and the recruitment of children in armed conflicts, with a focus on Colombia as a case study representative of Latin America. Drawing on global data from the Global Report on Trafficking in Persons and local reports, the study highlights the convergence of “child trafficking” and “child recruitment” in conflict regions, framing these practices as severe violations of children’s rights and some of the worst forms of child labour. Employing an inductive method and documentary analysis, the research identifies key socioeconomic and political drivers of these practices in Colombia, emphasising their broader impact on Latin American society. The findings underscore the need for integrated international and local efforts to address the vulnerabilities of children in conflict settings and propose strategies for mitigation. Full article

This article intends to demonstrate the interconnections between exposure, engagement, human rights (HRs) lens, and methods in social work. To achieve these aims, we used HRXSW, HRESW, HRLSW, and HRMSW index scales to carry out a survey amongst Portuguese social workers. This survey was sent to 4079 registered members (100%) of the Portuguese professional association, of which 259 were valid responses (6.3%). The results of this pilot study show that professionals are exposed to HR in the education system and in the professional practice and that the level of engagement with HR is strong. Professionals revealed that social problems and rights violations played a prominent role during their practices with clients; however, contradictions are noticed in relation with intervention methods. Their methods are mostly informed by individual rights and personal empowerment, collaboration, and accountability and, to a lesser extent, by non-discrimination, micro and meso approach, and activism. We conclude that professionals have the knowledge and courage to consolidate and promote HR; however, in order to advocate for and promote structural social changes that lead to the full realization of an HR utopia, they need to use methods based on structural and collective approaches. Full article