Search Results (179)

Rhetorical questions are used in a variety of ways in the Hebrew Bible. These questions, as found in Genesis, Exodus, Numbers, and Judges, show a strong emotional component, often of anger, and are part of the linguistic structure of accusation and defense. Rhetorical questions are also used as part of diplomatic negotiations between individuals and groups. Such questions function within the narrative to provide momentum for the story and move the action forward. By carrying the emotional component of the text, rhetorical questions draw the reader into scripture and enhance the connection between the reader and the text. One particular format of the accusing rhetorical question is a variant of “what have you done?” This phrase serves to accuse and to imply the need for justification or restitution for the perceived wrong. “What have you done?” is not seeking information in these contexts, as the wrongdoing in question has already come to light for the speaker. This question is accompanied by additional rhetorical questions to form a linguistic cluster. This article proposes that rhetorical questions, and particularly the “What have you done?” format, were long-standing and common linguistic tools of Hebrew writers and speakers in the ancient world. Such questions served as cues for responsive interaction from the party addressed and signaled the opening for apology, negotiation, or further conflict. Full article

In response to the problem of cooperative steering control between drivers and intelligent driving systems, a master–slave Game-Based human–machine cooperative steering control framework with adaptive weight fuzzy decision-making is constructed. Firstly, within this framework, a dynamic weight approach is established. This approach takes into account the driver’s state, traffic environment risks, and the vehicle’s global control deviation to adjust the driving weights between humans and machines. Secondly, the human–machine cooperative relationship with unconscious competition is characterized as a master–slave game interaction. The cooperative steering control under the master–slave game scenario is then transformed into an optimization problem of model predictive control. Through theoretical derivation, the optimal control strategies for both parties at equilibrium in the human–machine master–slave game are obtained. Coordination of the manipulation actions of the driver and the intelligent driving system is achieved by balancing the master–slave game. Finally, different types of drivers are simulated by varying the parameters of the driver models. The effectiveness of the proposed driving weight allocation scheme was validated on the constructed simulation test platform. The results indicate that the human–machine collaborative control strategy can effectively mitigate conflicts between humans and machines. By giving due consideration to the driver’s operational intentions, this strategy reduces the driver’s workload. Under high-risk scenarios, while ensuring driving safety and providing the driver with a satisfactory experience, this strategy significantly enhances the stability of vehicle motion. Full article

This study examines whether adopting blockchain technology can enhance maritime supply chain performance by improving information sharing in the presence of mismatches between service capacity and demand. We analyze a maritime supply chain with one port and one carrier. Depending on whether the port and the carrier adopt blockchain technology to share forecast information, we consider two scenarios: neither party adopts the technology, or both the port and the carrier adopt it. We find that when the port’s ex ante expected demand is relatively low, the adoption of blockchain technology not only incentivizes the port to expand its service capacity but also increases the actual demand from the carrier. In addition, when the port has a high forecasting accuracy, it prompts both the port and the carrier to make more stable decisions on the service capacity and freight rates under demand uncertainty. Finally, while the port and the carrier exhibit conflicting incentives to adopt blockchain technology, these tensions can nonetheless be reconciled. This alignment becomes possible due to blockchain’s spillover effect: by enabling information sharing, it facilitates a closer match between the port’s service capacity and the carrier’s realized demand. Full article

This study explores the role of religion as a state-promoted tool for political assimilation in Pakistan’s border provinces of Khyber Pakhtunkhwa (KP) and Balochistan. The study is based on five phases of fieldwork (2016–2024) combined with a thematic literature review. The research explores how religious strategies were deployed to forge a unified national identity in these regions. The findings reveal significant disparities in the effectiveness of these strategies. In KP, historical factors, cultural alignment, and geopolitical influences—particularly the Afghan conflict—largely facilitated the integration of Pashtun identity into Pakistan’s broader Islamic-national framework. Tools such as madrassa networks, education reforms, religious slogans, and state-backed Islamist parties effectively promoted religious nationalism. In contrast, religious assimilation efforts in Balochistan largely failed due to entrenched ethnic nationalism, economic exclusion, and political marginalization. Attempts to expand madrassas, delegitimize nationalist leaders as “anti-Islamic,” and support religious movements have been met with resistance, deepening distrust between the Baloch population and the state. The study found that religion alone cannot sustain national cohesion, particularly in regions with longstanding grievances and systemic inequalities. This research emphasizes the limitations of top-down, coercive assimilationist policies and underscores the necessity for more inclusive approaches, such as addressing economic disparities, recognizing regional identities, and promoting political participation as essential components for building a sustainable and unified nation. The study provides critical insights for policymakers, advocating for a shift from religious assimilation to strategies that prioritize justice, equity, and cultural accommodation, particularly in KPK and Balochistan. Full article

This article explores the persistent issue of assaults on medical staff in China that are unrelated to malpractice, which exacerbate tensions in doctor–patient relationships. These conflicts are primarily fueled by factors such as the disparity between doctors and patients, unequal distribution of medical resources, and inadequacies in the legal protection system. Drawing on Foucault’s micro-power theory, this research proposes a tripartite governance model that includes reconfiguring medical resources through public–private partnerships, implementing proactive legal mechanisms such as hospital-embedded policing systems, and establishing mandatory protocols for treatment explanations to reduce information asymmetry. The article also highlights the importance of medical conflict mediation systems to effectively resolve disputes and ensure satisfaction for all parties involved. Full article

A conflict is a situation where multiple stakeholders have different evaluations over possible scenarios or states. Conflict analysis is an essential tool for understanding and resolving complex conflicts, especially in scenarios involving multiple stakeholders and uncertainties. Confrontation analysis (ConAna) and graph model for conflict resolution (GMCR) have been integrated for dilemma reasoning and conflict resolution in region crisis analysis. This paper discusses the application of decision-theoretic rough sets (DTRS) to three-way decisions (3WD) in dilemma reasoning and conflict resolution. Three-way decisions are a strategy for making decisions under uncertain conditions, which compensates for the shortcomings of traditional two-way decisions (such as accept or reject) by introducing a “delayed decision” option. In terms of dilemma reasoning, we try to address incomplete or conflicting information and provide a more reasonable decision path for decision-makers through comprehensive evaluation of multi-criteria. In terms of conflict resolution, the DTRS model seeks a compromising solution that is acceptable to all parties by analyzing the game relationship between different stakeholders. The DTRS model combines decision-making theory and rough set theory to determine the balanced decision region by constructing a game between multiple criteria. This dynamic integration is of great significance for the study of complex international conflicts, providing a cross-disciplinary perspective for related research. In this paper, we demonstrate the application of DTRS in 3WD and discuss the relationship between DTRS and probabilistic rough sets. The research shows that the DTRS model has significant advantages in dealing with complex decision problems and can effectively deal with the conflicts and uncertainties in multi-criteria decision-making. Full article

Diversion programs are increasingly used as alternatives to criminal penalties for women involved in commercial sex, yet limited research has examined how such programs support behavior change across diverse subgroups, particularly between sex-trafficked and non-trafficked participants. This study evaluates changes in readiness for change among 131 women who participated in a court-ordered diversion program led by survivors of sex trafficking. Participants were classified as sex-trafficked or non-trafficked based on self-reported age of entry and experiences of third-party control. The program offered a range of trauma-informed services aimed at fostering holistic well-being and facilitating a pathway out of sex trafficking and prostitution. Participants engaged in group classes focused on job interview skills, emotion regulation, substance use awareness, and psychoeducation related to trauma. Life skills workshops addressed financial literacy, relationship dynamics, and conflict resolution. In addition, participants received referrals to GED programs, career training, mental health services, and emergency housing as needed. Program duration typically ranged from 12 to 16 weeks, adjusted for individual needs. Results from a repeated-measures Analysis of Variance (ANOVA) revealed a significant increase in readiness for change (p < 0.05) from program entry to completion. However, women with trafficking histories demonstrated smaller gains than their non-trafficked peers, suggesting that trauma-related and systemic barriers may limit the impact of short-term interventions. These findings underscore the importance of tailoring diversion programs to address the complex needs of sex-trafficked individuals and support the development of differentiated trauma-responsive strategies within diversion frameworks. Full article

Addressing the urgent need for sustainable energy transitions in rural development while achieving the dual carbon goals, this study focuses on resolving critical challenges in agricultural photovoltaic (PV) applications, including land-use conflicts, compound energy demands (electricity, heating, cooling), and financial constraints among farmers. To tackle these issues, a dual-mode cost–benefit analysis framework was developed, integrating two distinct investment models: self-invested construction (SIC), where farmers independently finance and manage the system, and energy performance contracting (EPC), where third-party investors fund infrastructure through shared energy-saving or revenue agreements. Then, an integrated photovoltaic-storage agricultural greenhouse (PSAG) microgrid optimization model is established, synergizing renewable energy generation, battery storage, and demand-side management while incorporating operational mode selection. The proposed model is validated through a real-world case study of a village agricultural greenhouse in Gannan, China, characterized by typical rural energy profiles and climatic conditions. Simulation results demonstrate that the optimal system configuration requires 27.91 kWh energy storage capacity and 18.67 kW peak output, with annualized post-depreciation costs of 81,083.69 yuan (SIC) and 74,216.22 yuan (EPC). The key findings reveal that energy storage integration reduces operational costs by 8.5% compared to non-storage scenarios, with the EPC model achieving 9.3% greater cost-effectiveness than SIC through shared-investment mechanisms. The findings suggest that incorporating an energy storage system reduces costs for farmers, with the EPC model offering greater cost savings. Full article

Background/Objectives: Violence in healthcare settings, especially in emergency departments (ED), remains an important public health issue worldwide. Thus, additional insight into the effect of these incidents into nurses’ professional attitudes, their work life and related implications to patient safety issues may be valuable. We investigated ED nurses’ living experience of exposure to workplace violence by healthcare service users, with focus on the impact on them. Methods: Following a qualitative study design, data were collected (January–June 2024) through semi-structured interviews with open-ended questions and were analyzed according to an inductive, content analysis approach. Participants provided informed consent, and data collection continued until theoretical saturation was reached. Results: The sample included six nurses. Various forms of workplace violence and its psychological, social, and professional consequences were identified. Violence was more frequently perpetrated by patients’ relatives, with verbal aggression being the most common form. A fundamental divergence in needs and expectation between patients and their family members/caregivers, on one side, and participants, on the other, revealed a pronounced empathy gap. Each group remained focused on its own priorities while struggling to recognize or accommodate others’ perspectives. This lack of mutual understanding contributed to tension that, in some cases, escalated even into physically violent incidents against the participants. A similar gap was identified between the participants’ needs and administrators’ attitudes and related policies. The failure of administrative measures to bridge this gap was described as a crucial factor in further escalating conflicts and tension in the ED. Conclusions: Further research on quality improvement projects, including all stakeholders, aiming to enhance empathy in all parties involved is proposed. Full article

The river chief system (RCS) has been progressively integrated into rural river governance, resulting in notable improvements in river environments. However, the governance involves multiple stakeholders with conflicting interests and challenges, including low efficiency in collaborative governance. Based on evolutionary game theory, this paper explores the strategy evolution mechanism of multiple stakeholders in rural river governance under the RCS. A four-party evolutionary game model is constructed, involving the government, rural river chiefs, functional organizations, and villagers. By employing phase diagrams, Jacobian matrices, and Lyapunov’s first method, we investigate the evolutionary process of the four-party game and analyze its asymptotic stability. The study identifies the following two evolutionary stable strategies: lenient supervision, no patrol, governance, and participation and lenient supervision, no patrol, governance, and non-participation. Then, numerical simulation analysis is conducted using MATLAB 2024b to validate the scientific rigor and effectiveness of the evolutionary game model and analyze the impact of key parameters’ changes on the strategy choices of each stakeholder. The findings provide guidance for improving the efficiency of multi-stakeholder collaboration in rural river governance and the smooth implementation of the RCS in rural areas. Full article

This paper proposes a digital low-altitude airspace unmanned aerial vehicle (UAV) path planning method tailored for urban risk environments and conducts an operational capacity assessment of the airspace. The study employs a vertical–horizontal grid partitioning technique to achieve airspace grid-based modeling, classifying and configuring “management-operation” grids. By integrating multi-source heterogeneous data, including building structures, population density, and sheltering factor, a grid-based discrete risk quantification model is established to evaluate comprehensive mid-air collision risk, ground impact risk, third-party risk, and UAV turning risk. A path planning method considering the optimization of the turning points of parallelograms was proposed, and the Parallel-A* algorithm was adopted for its solution. Finally, an airspace operational capacity assessment model and a conflict simulation model for urban risk environments are developed to quantify the operational capacity of urban low-altitude airspace. Using Liuhe District in Nanjing as the experimental area, the study reveals that the environmental airspace risk decreases significantly with increasing flight altitude and eventually stabilizes. In the implementation of path planning, compared with the A* and Weight-A* algorithms, the Parallel-A* algorithm demonstrates clear advantages in terms of lower average comprehensive risk and fewer turning points. In the operational capacity assessment experiments, the airspace capacity across different altitude layers increases with flight altitude and stabilizes after comprehensive risk is reduced. This research provides a theoretical foundation for the scientific management and optimal resource allocation of urban low-altitude airspace, facilitating the safe application and sustainable development of UAVs in urban environments. Full article

This study considers a simple automotive supply chain that includes an automobile manufacturer with demand information and financial advantages and a financially constrained automobile lessor. The manufacturer can decide whether to provide financing support to the lessor, as follows: when the manufacturer offers trade credit contracts, this is seller financing, and the lessor does not need to borrow from banks; if the manufacturer only provides wholesale price contracts, then the lessor must rely on bank financing. By constructing a signaling game, we delve into the interactive relationship between the manufacturer’s contract decisions and the lessor’s optimal financing strategies under both symmetric and asymmetric demand information scenarios. The findings show that, under symmetric information, the decisions of the manufacturer and the lessor are primarily driven by demand price sensitivity, with no significant financing conflicts between the two parties. However, under asymmetric information, their decisions are also closely related to the degree of demand fluctuation, leading to the emergence of financing conflicts. The innovation of this study lies in its incorporation of demand information asymmetry into the analytical framework governing manufacturers’ contract decisions and lessors’ financing strategies. This provides valuable theoretical insights and practical guidance for automotive supply chains operating under financial constraints. Full article

Aiming to better understand the relationship between youth activism and institutional politics, this article analyzes young climate activists’ interactions with political parties and how they shape the dynamics of the School Strike for Climate. Through a multi-sited ethnography in Portugal’s two major cities, we examined the participation experiences of young climate strikers from both chapters of the movement, revealing the contingent and complex development of their relationships with party politics, which ultimately influences the dynamics of Portuguese youth climate activism. The ethnographic data uncovered ambivalent and tensional relationship patterns with political parties in the two local groups. While closeness and collaboration with actors linked to institutional politics aimed at strengthening the climate movement’s broader political representation, it also prompted resistance, leading to internal conflicts within the movement. Our findings highlight differing political strategies and ideological stands among local groups, as well as tensions and ambivalences in the interactions with political parties. This study contributes to a deeper understanding of the challenges of sustaining the School Strike for Climate movement over time and the ways in which activist movements negotiate political affiliations and internal cohesion. Full article

Pilot policy relating to the building of rental houses on collectively owned land is crucial for forming integrated urban and rural construction land markets and promoting rural revitalization. However, inequalities in the distribution of benefits may impede pilot projects. This paper employs a mixed-methods approach combining social network analysis, case study, and game theory to analyze the strategic decisions of key stakeholders in pilot policy, aiming to identify challenges and barriers to its implementation. Local governments, rural collective economic organizations, and enterprises are defined as the three key stakeholders, according to social network analysis. The findings suggest that the successful implementation of pilot policy requires cooperation among at least two stakeholders. Key factors influencing stakeholders include policy risk, market risk, the local government’s stance on the pilot policy, communication, coordination costs, the capabilities of collective economic organizations, and expected benefits, all of which can lead to conflicts among stakeholders. Strategies to support equilibrium of the interests of all parties are proposed, in order to promote cooperation among these three core categories of stakeholders. Full article

Veterinary and charity teams are frequently involved in equine end-of-life decisions. These can cause ethical dilemmas and emotional burdens and complicate communication with owners. Semi-structured focus groups explored experiences of making decisions about end-of-life care and euthanasia at three UK equine veterinary practices and one charity. There were 26 participants in a mix of roles. Inductive coding was conducted during thematic analysis. Major themes generated were ‘Equine Welfare’, ‘Relationships’, ‘Decision-Making’, and ‘Emotional Toll and Coping Strategies’. Communication, finances, and chronic vs. acute cases were key issues featured within multiple themes. The individual horse’s welfare was the participants’ priority during decision-making. However, there were barriers to coming to a decision about treatment or euthanasia, and conflict caused by these barriers could detrimentally affect participants’ mental health. Preferred style of decision-making varied depending on the situation. Examples given included shared decision-making, participants steering the decision, and attempts by participants or owners to shift decisional responsibility onto the other party. Some owners sought additional input into decisions from veterinary nurses and receptionists. Participants found aspects of their roles emotionally challenging. This could be mitigated by supportive relationships and communication with colleagues. Involving veterinary team members in varying roles in end-of-life care planning and euthanasia decision-making with owners contributes a range of skills and expertise and helps to share the burden of responsibility. Full article