Search Results (184)

The green renovation of existing residential buildings is a key way for the construction industry to achieve sustainable development and the dual carbon goals of China, which makes it urgent to make collaborative decisions among multiple stakeholders. However, because of divergent interests and risk perceptions among governments, energy service companies (ESCOs), and owners, the implementation of green renovation is hindered by numerous obstacles. In this study, we integrated prospect theory and evolutionary game theory by incorporating core prospect-theory parameters such as loss aversion and perceived value sensitivity, and developed a psychologically informed tripartite evolutionary game model. The objective was to provide a theoretical foundation and analytical framework for collaborative governance among stakeholders. Numerical simulations were conducted to validate the model’s effectiveness and explore how government regulation intensity, subsidy policies, market competition, and individual psychological factors influence the system’s evolutionary dynamics. The findings indicate that (1) government regulation and subsidy policies play central guiding roles in the early stages of green renovation, but the effectiveness has clear limitations; (2) ESCOs are most sensitive to policy incentives and market competition, and moderately increasing their risk costs can effectively deter opportunistic behavior associated with low-quality renovation; (3) owners’ willingness to participate is primarily influenced by expected returns and perceived renovation risks, while economic incentives alone have limited impact; and (4) the evolutionary outcomes are highly sensitive to parameters from prospect theory, The system’s evolutionary outcomes are highly sensitive to prospect theory parameters. High levels of loss aversion (λ) and loss sensitivity (β) tend to drive the system into a suboptimal equilibrium characterized by insufficient demand, while high gain sensitivity (α) serves as a key driving force for the system’s evolution toward the ideal equilibrium. This study offers theoretical support for optimizing green renovation policies for existing residential buildings in China and provides practical recommendations for improving market competition mechanisms, thereby promoting the healthy development of the green renovation market. Full article

The ecological drivers of wildlife crop-foraging behavior—whether as a compensatory response to natural resource scarcity or as opportunistic exploitation of anthropogenic food sources—remain poorly understood in human–wildlife conflict research. Traditional methodologies, which primarily rely on direct observation and morphological identification, have limitations in comprehensively quantifying wildlife dietary composition, particularly in accurately distinguishing between morphologically similar plant species and conducting precise quantitative analyses. This study utilized DNA metabarcoding technology (rbcL gene markers) to identify and quantify plant dietary components through fecal sample analysis, systematically investigating the dietary composition and patterns of agricultural resource utilization of wild rhesus macaques (Macaca mulatta) in human–wildlife interface zones of southwestern China. A total of 29 rhesus macaque fecal samples were analyzed (15 from spring and 14 from winter), identifying 142 plant genera, comprising 124 wild plant genera, and 18 crop genera. The results revealed distinct seasonal foraging patterns: crops accounted for 32.11% of the diet in winter compared to 7.66% in spring. Notably, rhesus macaques continued to consume crops even during spring when wild resources were relatively abundant, challenging the traditional hypothesis driven by resource scarcity and suggesting that crop-foraging behavior may reflect an opportunistic, facultative resource selection strategy. This study demonstrates the significant value of DNA metabarcoding technology in wildlife foraging behavior research, providing scientific evidence for understanding human–primate conflict ecology and developing effective management strategies. Full article

Although carbon emissions trading systems are universally acknowledged as one of the most potent policy instruments for counteracting hazardous climate trends, and digitalization is seen as a favorable technological means to promote corporate green and low-carbon transformation, few studies have investigated the dark side of both. Using data on Chinese listed companies from 2011 to 2020 and adopting a multi-period DID methodology, this research reveals that, in response to the carbon emissions trading system, firms often adopt low-cost, strategic environmental governance behaviors—namely, carbon washing—to reduce compliance costs and maintain their reputation and image. Furthermore, the study reveals that the information advantages of digital transformation create conditions for the opportunistic manipulation of carbon disclosure. Digitalization amplifies the positive influence of the carbon trading system on corporate carbon washing behavior. Mechanism analysis confirms that the carbon emissions trading system increases the production costs of regulated firms, thereby increasing their carbon washing behavior. Economic consequence analysis confirms that firms engage in carbon washing to gain legitimacy and maintain their reputation and image, which may allow them to obtain opportunistic benefits in the capital market. Finally, this study suggests that the government should adopt supplementary policy tools, such as environmental subsidies, enhanced use of digital technologies to strengthen regulatory capacity, and increased media oversight, to mitigate the unintended consequences of the carbon trading system on corporate behavior. Full article

In this study, the association between Neosilba batesi (Diptera: Lonchaeidae) and avocado fruits (Persea americana L.) was investigated. Fruits showing signs of rot and infested with Diptera larvae were collected from commercial orchards in the states of Michoacán and Jalisco, Mexico. N. batesi was identified in association with fruits from both trees and the ground at all sampling sites. Furthermore, a phylogenetic analysis based on the mitochondrial cytochrome c oxidase subunit I (COI) gene supported the morphological identification, showing >99% identity with records from Veracruz, and revealed distinct genetic lineages within the Neosilba genus. In a study within one Michoacán orchard, infested tree-borne fruits averaged 5.40 cm in length and 3.90 cm in width, with a mean of 9.61 larvae emerging per fruit. Females were observed to lay eggs in openings between the pedicel and the fruit, never piercing the exocarp. In contrast, on fallen fruit, they utilized existing wounds with exposed pulp. Infested avocados exhibit characteristic spots indicating the presence of internal larvae and generally detach from the tree. Larvae can feed on avocados in various stages of decomposition and may either emerge through wounds or pupate within the fruit. These findings support the opportunistic and saprophagous behavior associated with this fly species. Full article

This study investigates whether internationally diversified firms substitute between accrual-based and real earnings management and examines how institutional supervision moderates this relationship. Drawing on a sample of Taiwanese firms listed on the Taiwan Stock Exchange from 2003 to 2016, we conduct regression analyses to test our hypothesis. We find that internationally diversified firms actively shift between accrual and real earnings management strategies depending on the constraints they face. Specifically, firms tend to rely more on accrual-based manipulation when information asymmetry is high and switch to real earnings management when accruals are more easily detected. We also show that stronger institutional supervision—measured by information transparency and investor protection—significantly curbs accrual-based earnings management. These findings reflect the higher volatility and agency problems associated with international operations, such as exposure to foreign risks and the distance between parent and subsidiary firms. By highlighting the conditions under which firms manage earnings and the supervisory mechanisms that constrain such behavior, this study offers practical insights for managers seeking to smooth earnings, investors aiming to evaluate firm transparency, and policymakers designing regulations to deter opportunistic financial reporting. Full article

Information asymmetry leads to farmers’ opportunistic behavior of disobeying pest control regulations in certified vegetable areas, but the improvement of farmers’ digital literacy has become an important means to break through the constrained dilemma of pest control information and change farmers’ pest control behaviors. Based on survey data from certified vegetable areas of Shaanxi, Gansu, and Ningxia provinces in China, this study used Heckman two-stage model to analyze the impact of the improvement of farmers’ digital literacy on opportunistic behavior in pest control. The results are as follows. Firstly, the improvement of farmers’ digital literacy can restrain their opportunistic behavior in pest control. Secondly, the improvement of farmers’ digital literacy restrain their opportunistic behavior through three paths, namely, enhancing the awareness of obeying pest control regulations for certified vegetables, reducing the cost and risk of pest control in obeying the certification standards. Thirdly, the traceable certification label plays a positive moderating role in the process of improving digital literacy to restrain farmers’ opportunistic behavior. Accordingly, this study suggests strengthening the training of farmers’ digital literacy, promoting the digitalized traceability system for certified vegetables, establishing examination mechanisms for online pesticide purchases and logistics distribution, and imposing severe penalties for opportunistic behaviors. Full article

Mexico is the world’s leading producer of avocado (Persea americana); however, its productivity is threatened by various diseases, especially root rot caused by Phytophthora. While P. cinnamomi is the most commonly reported species worldwide, this study identified P. mengei for the first time as a causal agent of root rot and trunk canker in avocado orchards in the state of Michoacán, México. The morphological and molecular characterization of four isolates (three from canker and one from root rot) confirmed their identity: semi-papillate sporangia and plerotic oospores with paragynous antheridia, with sequence identities of 99.87% (ITS) and 100% (COI) with type sequences of P. mengei. Pathogenicity tests demonstrated the ability to infect roots, stems, and fruits, although with a low reisolation percentage in roots (10%), suggesting an opportunistic pathogen behavior. Sensitivity tests to potassium phosphite (EC₅₀ of 3.67 μg/mL⁻¹ a.i.) and metalaxyl-M (0.737 μg/mL⁻¹ a.i.) revealed possible limitations for chemical control. These findings position P. mengei as an emerging pathogen with important implications for integrated crop management. To the best of our knowledge, this is the first report of P. mengei causing root rot and trunk canker in avocado in Michoacán, Mexico. Full article

The rapid development of sixth-generation mobile communication systems has brought about significant advancements in both Quality of Service (QoS) and Quality of Experience (QoE) for users, largely due to the extremely high data rates and a diverse range of service offerings. However, these advancements have also introduced challenges, especially concerning the growing demand for a wireless spectrum and the limited availability of resources. Various efforts have been made and research has attempted to tackle this issue such as the use of Cognitive Radio Networks (CRNs), which allows opportunistic spectrum access and intelligent resource management. This work demonstrate a new method in the optimization of allocation resource in CRNs based on the Snake Optimizer (SO) along with reinforcement learning (RL), which is an effective meta-heuristic algorithm that simulates snake cloning behavior. SO is tested over three different scenarios with varying numbers of secondary users (SUs), primary users (PUs), and frequency bands available. The obtained results reveal that the proposed approach is able to largely satisfy the aforementioned requirements and ensures high spectrum utilization efficiency and low collision rates, which eventually lead to the maximum possible spectral capacity. The study also demonstrates that SO is versatile and resilient and thus indicates its capability of serving as an effective method for augmenting resource management in next-generation wireless communication systems. Full article

The Social Opportunistic Internet of Things (SO-IoT) is a rapidly emerging paradigm that enables mobile, ad-hoc device communication based on both physical and social interactions. In such networks, routing decisions heavily depend on the selection of intermediate nodes to ensure secure and efficient data dissemination. Traditional approaches relying solely on reliability or social interest fail to capture the multifaceted trustworthiness of nodes in dynamic SO-IoT environments. This paper proposes a trust-based route optimization framework that integrates social interest and behavioral reliability using Bayesian inference and Jeffrey’s conditioning. A composite trust level is computed for each intermediate node to determine its suitability for data forwarding. To validate the framework, we conduct a two-phase simulation-based analysis: a scenario-driven evaluation that demonstrates the model’s behavior in controlled settings, and a large-scale NS-3-based simulation comparing our method with benchmark routing schemes, including random, greedy, and AI-based protocols. Results confirm that our proposed model achieves up to an $88.9\%$ delivery ratio with minimal energy consumption and the highest trust accuracy ($86.5\%$), demonstrating its robustness and scalability in real-world-inspired IoT environments. Full article

Nakaseomyces glabratus is an opportunistic fungal pathogen that primarily affects immunocompromised individuals. Unlike other Candida species, N. glabratus exhibits nondimorphic blastoconidial morphology and a haploid genome. It is a leading cause of both superficial (oral, esophageal, vaginal, or urinary) and systemic candidiasis. In this study, we evaluated 47 clinical isolates from Central Bulgaria (Plovdiv) and 1 wild strain isolated from the gut of the beetle Oxythyrea funesta (Coleoptera: Cetoniinae) collected in Sofia, Bulgaria. Growth was observed across a pH range of 3 to 9. The strains were assessed for the production of lipases, esterases, and proteases—enzymes associated with pathogenicity—and their relationship to virulence. Biofilm formation and exopolysaccharide production were also measured, with all strains showing similar profiles. No competitive inhibition of N. glabratus was observed against C. parapsilosis. All isolates exhibited resistance to micafungin, while resistance to both micafungin and anidulafungin was observed in 21 isolates (44%). These findings provide insight into the biochemical characteristics of N. glabratus populations from Southeast Europe, contributing to a better understanding of strain behavior under controlled laboratory conditions and addressing the gap in data on this species in the region. Full article

Eurasian otters, as apex predators in freshwater ecosystems, are crucial to maintaining nutrient cycling and habitat stability. Although Eurasian otters prefer unaltered natural habitats, their adaptive and opportunistic behavior allows them to occupy suboptimal environments, including urbanized areas. As urbanization increases, the pressure on apex carnivores like the Eurasian otter will continue to grow. To date, urban stream restoration plans have not used the Eurasian otter as a keystone species, but given their influence across the trophic levels, Eurasian otter-focused restoration plans could enhance otter populations and overall biodiversity in urban areas. Here, we lay out six principles designed as a template for enhancing urban habitats for Eurasian otters as well as biodiversity. The principles (enhancing habitat structure complexity, restoring natural riparian vegetation and habitats, safeguarding water quality, providing native prey species, reducing otter mortality, and promoting positive public perception) are essential for urban ecosystem regeneration focused on Eurasian otters. Although there have been no urban restoration projects specifically tailored toward Eurasian otters, initiatives based on similar principles have been effective in promoting biodiversity and otter presence. Overall, an urban habitat restoration plan focused on Eurasian otters will not just increase otter presence but biodiversity across all trophic levels. Full article

Relational governance, as a flexible and informal mechanism, plays a critical role in addressing the challenges of construction projects in the VUCA environment. However, existing research has rarely examined relational governance mechanisms from a resilience perspective. Furthermore, current studies on organizational resilience often overlook static characteristics, leaving the interplay between static and dynamic resilience underexplored. To address this gap, this study aims to explore how relational governance influences project performance through organizational resilience, with a focus on the mediating roles of static resilience and dynamic resilience. Empirical data were collected through 270 construction professionals, with questionnaire design refined through expert interviews and a pilot study to ensure validity and reliability. Partial least squares structural equation modeling (PLS-SEM) was employed to assess relationships. The findings indicate that relational governance positively influences addressing opportunistic behaviors of construction participants and improving project performance. Mutual trust and timely commitment among project participants in relational governance significantly impact both the static characteristics and dynamic capabilities of construction projects. Additionally, organizational resilience partially mediates the relationship between relational governance and project performance. This study advances the understanding of the mechanisms linking relational governance and project performance from a resilience perspective and provides actionable insights for fostering efficient governance practices. Full article

The aim of this paper is to clarify the influence mechanism and role paths of the entrepreneurial behavior of the underclass groups (EBUG) involved in urbanization from a microcosmic perspective and propose sustainable development paths for the transition of underclass groups’ entrepreneurship from the subsistence type to the opportunistic type. Based on the theories of planned behavior, the entrepreneurial event model, and social cognitive theory, this study constructs a theoretical framework of “intention–situation–behavior” of the EBUG involved in urbanization. Through a questionnaire survey conducted in three major urban agglomerations in Zhejiang Province, the theoretical model is validated by using structural equation modeling (SEM). On the one hand, perceived desirability, perceived feasibility, and land expropriation all have a significant positive influence on entrepreneurial behavior. On the other hand, land expropriation has a significant moderating effect on entrepreneurial intentions and behaviors. When the moderating role of land expropriation is not considered, underclass groups are more likely to engage in opportunistic-type entrepreneurship, which is primarily driven by perceived desirability such as achievement motivation and innovation orientation. In contrast, when land expropriation is considered, these groups tend to focus on survival entrepreneurship, which is mainly influenced by perceived feasibility factors such as social capital and market opportunities. The future survival and development of underclass groups is contingent upon urbanization, with the potential to influence the stability and sustainable development of society. The government should enhance the underclass groups’ perceived desirability through skill conversion, financial innovation, and digital empowerment; improve their perceived feasibility through the entrepreneurial resilience-building platform and the “Village Sage Mentorship System”; and refine the land expropriation policy by means of the securitization of collective assets, the multifunctional utilization of rural homesteads, and the cultivation of localized new business formats. By doing so, it can promote the transformation of the underclass groups’ entrepreneurship from the “subsistence type” to the “opportunistic type”. Full article

In this study, we examine the supplier–buyer relationship based on resource dependence theory. When suppliers are asymmetrically dependent on buyers because of the industry structure, the suppliers are subject to the opportunistic behaviors of the buyers. In this industry setting, suppliers have less opportunity to sustain their profitability. We theoretically and empirically examine the conditions under which suppliers may overcome such conditions. Suppliers’ enhanced commitment to the asymmetric relationship can help them resolve problems associated with asymmetric dependence and thereby sustain profitability. This effect can be lessened when a buyer forms a new exchange relationship or magnified when a supplier forms a new exchange relationship. Suppliers’ industrial diversification and technological capability also affect the dynamics. We collected data from Korean auto parts suppliers between 1998 and 2007. Using the feasible generalized least squares regression model, most of our hypotheses were supported, except for the moderating effect of technological capability. These empirical results are also confirmed by random-effects model and fixed-effects model panel regressions. This study makes three distinctive contributions to the current research, suggesting the enhancement of commitment (dependence) as a strategic solution under conditions of asymmetric dependence, applying a dynamic perspective to resource dependence theory, and emphasizing the role of firms’ capability in circumstances characterized by asymmetric dependence. Full article

The escalating global prevalence of fungal and bacterial co-infections underscores the significant and multifaceted impact of ubiquitous microorganisms on both environmental equilibria and human well-being. The human microbiome, a complex ecosystem of bacterial communities, harbors opportunistic pathogens capable of inducing superinfections or concurrent infections with Candida spp. The intricate interplay, exemplified by the interaction between Candida albicans and diverse bacteria, necessitates rigorous investigation to elucidate mechanisms by which this polymicrobial behavior potentiates fungal virulence, particularly in immunocompromised individuals. Our study aims to comprehensively examine the ramifications of these interactions, with a specific focus on their influence on fungal virulence and the consequent exacerbation of disease severity. Achieving a comprehensive understanding of these complex relationships is paramount for informing effective clinical management strategies for infectious diseases, and the accurate identification of fungal–bacterial co-infections holds substantial implications for optimizing clinical treatment paradigms, especially in vulnerable immunocompromised hosts. Full article