Search Results (132)

Using solid particulates as a heat transfer medium for concentrated solar power (CSP) systems has many advantages, positioning them as a superior option compared with conventional heat transfer media such as steam, oil, air, and molten salt. However, a critical imperative lies in the comprehensive evaluation of the properties of potential solid particulates intended for utilization under such extreme thermal conditions. This paper undertakes an exhaustive examination of both ambient and high-temperature thermophysical properties of four naturally occurring particulate materials, Riyadh white sand, Riyadh red sand, Saudi olivine sand, and US olivine sand, and one well-known engineered particulate material. The parameters under scrutiny encompass loose bulk density, tapped bulk density, real density, sintering temperature, and thermal conductivity. The results reveal that the theoretical density decreases with the increase in temperature. The bulk density of solid particulates depends strongly on the particulate size distribution, as well as on the compaction. The tapped bulk density was found to be larger than the loose density for all particulates, as expected. The sintering test proved that Riyadh white sand is sintered at the highest temperature and pressure, 1300 °C and 50 MPa, respectively. US olivine sand was solidified at 800 °C and melted at higher temperatures. This proves that US olivine sand is not suitable to be used as a thermal energy storage and heat transfer medium in high-temperature particle-based CSP systems. The experimental results of thermal diffusivity/conductivity reveal that, for all particulates, both properties decrease with the increase in temperature, and results up to 475.5 °C are reported. Full article

Global resource depletion has intensified scrutiny on Sustainable Development Goal 12 (SDG12), where consumption-based material footprint serves as a critical sustainability metric. Despite its transformative potential, the paradoxical role of Information and Communication Technology (ICT) in resource conservation remains underexplored. This study adopts an extended STIRPAT model as the analytical framework. It employs the Method of Moments Quantile Regression to evaluate the non-linear effects of digitalization-related indicators and other influencing factors on material footprint. The analysis is conducted across different quantiles for G20 countries from 2000 to 2020. The results show that (1) ICT exhibits a substantial positive effect on consumption-based material footprint under all quantiles. This leads to an increase in the material footprint, hindering the G20’s progress toward achieving SDG12. (2) The impact of ICT varies notably, with a more pronounced adverse effect on SDG12 in countries with higher resource consumption. (3) ICT goods export trade, technological innovation, and globalization significantly mitigate ICT’s adverse impact on resource consumption. This study provides targeted recommendations for G20 countries on how to leverage ICT to achieve SDG12 more effectively. Full article

ESG serves as a key metric for measuring corporate sustainability, but divergence among rating agencies has led to uncertainty in such an assessment. This investigation identifies ESG rating divergence as a critical catalyst for corporate digital transformation, establishing empirical analysis through a robust positive correlation between the heterogeneity in sustainability assessments and organizational digitalization intensity. Comprehensive robustness examinations and endogeneity controls substantiate the persistent significance of this relationship. Mechanistically, such divergence drives technological adaptation by restructuring the R&D team composition and elevating capital allocation toward innovative initiatives. Contextual heterogeneity manifests through amplified effects in firms with elevated analyst scrutiny and stringent internal governance, whereas pollution-intensive enterprises exhibit significant effect suppression. These findings collectively advance theoretical frameworks concerning ESG evaluation economics and digital transformation drivers, while furnishing actionable implementation blueprints for corporate digitization strategists. Full article

Platform markets are concentrating, even as their content suppliers fragment, yet this asymmetric evolution is poorly understood. Using panel data from 11–12 Korean home shopping firms (2015–2023), we employ Hansen threshold regression, instrumental variables, and panel fixed-effects models to examine its competitive impact. Our analysis of 104 firm-year observations reveals four key findings. First, platform concentration alone explains 94.4% of transmission fee variation, with fees rising from 41.15% to 68.72% as platform HHI increased from 1390 to 2154 while content HHI declined from 1797 to 1118. Second, we identify critical fee thresholds at 62.2% (p = 0.012) and 73% (p = 0.002) that divide markets into three distinct operating regimes. Third, the fee–profitability relationship reversed from negative (r = −0.145) to positive (r = 0.554), indicating fees’ evolution from cost burdens to selection mechanisms. Fourth, instrumental variable estimates (0.473) exceed OLS estimates (0.184) by 2.6 times, revealing severe selection bias. Simulations indicate a 60% fee cap would affect 25 firms (24%) while increasing total surplus by 15.1% and improving SME profitability by 2.9 percentage points. We propose the Asymmetry Ratio (Platform HHI/Content HHI) as a regulatory tool, with ratios exceeding 1.0 triggering enhanced scrutiny. Our findings demonstrate that asymmetric market evolution creates new sources of platform power requiring novel regulatory approaches. Full article

Background/Objectives: Community benefit (CB) obligations by not-for-profit (NFP) hospitals have attracted renewed scrutiny at federal and state levels due to wide variation in CB spending. In 2020, Oregon implemented a CB policy for all NFP hospitals that included requirements to expand patient financial assistance and a hospital-specific minimum CB spending floor. We examined trends in CB spending after the implementation of Oregon’s CB policy. Methods: Interrupted time-series analyses to compare hospital CB spending before and after policy implementation. Results: Overall, Oregon’s CB policy was not associated with changes in CB spending, except for a 0.2% decrease in the Social Determinants of Health spending (−0.0018; p < 0.05). Among hospitals in the first tercile of pre-policy CB spending, Oregon’s policy was associated with a 0.4% decrease in charity care (−0.0041; p < 0.05) and a 0.6% increase in subsidized health services spending (0.0063; p < 0.05). Hospitals in the second tercile of pre-policy CB spending experienced a 0.7% decrease in subsidized health services (−0.0074; p < 0.05). Among frontier hospitals, total CB spending and Medicaid shortfalls increased by 2.9% (0.0292; p < 0.10) and 2.2% (0.0220; p < 0.10) respectively, while non-frontier hospitals experienced a 0.7% decrease in Medicaid shortfall (−0.0068; p < 0.05). Critical access hospitals experienced a 1.3% increase in subsidized health services spending (0.0131; p < 0.05). Conclusions: Although total CB spending did not change in the two years following Oregon’s CB policy implementation, findings suggest that hospitals may be shifting the composition of their CB spending. Oregon’s CB policy encourages proactive CB spending tailored to community needs, but opportunities exist to fine-tune the policy to boost hospital CB spending. Specifically, planned spending in categories such as charity care may alleviate the increasing burden of medical debt and its financial implications for patients. Full article

The way literature scholars read now has been under scrutiny for over a decade. The same long decade has seen an explosion in experimental literatures that make reading in the literary-critical sense a matter for poets: a poet’s hybrid, whose disturbance of genre is claimed by publishers as the writing’s main attraction. This paper explores the disturbance of literary criticism in the work of contemporary North American poets, Maureen N. McLane and Lisa Robertson. Asking how these poets read now, the paper argues that an exchange of powers between analysis and performance reorients criticism toward a hybrid ‘dramatic’ mode, activist in its sensibilities and committed to a redistribution of agencies by style and form. Far from deepening the divide between creative and academic criticism, these poets model the significance of composition, prosody, and voice for critical writing of all kinds. Full article

As a globally critical carbon reservoir, the response mechanism of wetland ecosystems to climate change on the Qinghai–Tibet Plateau (QTP) has attracted significant scientific scrutiny. This study investigated the temperature sensitivity of cbbL-harboring carbon-sequestering microbial communities and their coupling with carbon–nitrogen cycle dynamics through a simulated field warming experiment conducted in the Wayan Mountains’ river source wetland in the northeastern QTP. Key findings revealed that warming markedly elevated Alpha diversity (ACE and Chao1 indices), whereas Shannon and Simpson indices remained stable, indicating that temperature increases primarily altered community composition by enhancing species richness rather than evenness. Taxonomic analysis demonstrated significant increases in the relative abundances of Cyanobacteria and Actinobacteria, while Proteobacteria retained dominance but exhibited reduced relative abundance. At the genus level, Thioflexothrix, Ferrithrix, and Rhodospirillum dominated the community, with Thioflexothrix and Ferrithrix showing warming-induced abundance increments. Functional predictions indicated that warming preferentially stimulated heterotrophic and photoheterotrophic functional guilds. Soil physicochemical analyses further revealed warming-driven increases in nitrate nitrogen (NN), total carbon (TC), and total nitrogen (TN), concurrent with decreased soil moisture. Redundancy analysis identified TC as the predominant determinant of microbial community structure (followed by TN > NN), while pH and ammonium nitrogen (AN) exerted comparatively limited influence. Strong positive correlations between microbial communities and carbon/nitrogen indicators suggested that enhanced carbon–nitrogen resource availability served as the central driver of community succession. These findings elucidate the temperature-responsive mechanisms of cbbL-type carbon-sequestering microorganisms in alpine wetlands, offering critical insights for the adaptive management of carbon cycling in high-altitude ecosystems and advancing strategies toward achieving carbon neutrality goals. Full article

Faced with mounting pressure to achieve high-quality green transformation, manufacturing enterprises are increasingly scrutinized for greenwashing behaviors. This study develops a novel hybrid modeling framework that combines evolutionary game theory with the SEIR epidemic model to investigate the dynamic interactions between environmental regulation, media pressure, and green innovation behavior. The model captures how strategic decisions among boundedly rational actors evolve over time under dual external pressures. Simulation results show that stronger environmental regulatory intensity accelerates the adoption of substantive green innovation and concurrently reduces the media pressure associated with greenwashing. Moreover, while social media disclosure has a limited impact during the early stages of greenwashing information diffusion, its influence becomes significantly amplified once a critical dissemination threshold is surpassed, rapidly transforming latent information into widespread public concern. This amplification triggers significant public opinion pressure, which, in turn, incentivizes local governments to enforce stricter environmental policies. The findings reveal a synergistic governance mechanism where environmental regulation and media scrutiny jointly curb greenwashing and foster genuine corporate sustainability. Full article

As part of the substantial public discourse surrounding the distribution and use of mifepristone, which is used with misoprostol to facilitate drug-induced abortions, claims comparing the safety of this regimen to that of common pharmaceuticals have emerged and proliferated. Offered in forums ranging from social media to the Supreme Court, these claims have so gained public acceptance that they are now echoed without scrutiny and, at times, reference. Yet the simplistic slogan that “mifepristone is safer than Tylenol”, though easily disseminated, defies both an intuitive understanding of how we evaluate drug safety and our norms and regulations for doing so. Indeed, if such an assertion was attributable to the manufacturer, it would precipitate a reprimand by the FDA given the lack of specific, controlled, and head-to-head evidence rightly required for its support. To the extent that these claims persist, however, including among the outputs of medical societies, abortion centers, clinical researchers, and government officials, and to the extent that they aim to inform both individual and public decision-making, it is critical that the evidence offered for their support be thoroughly explored. Such examination reveals these claims to be wholly unfounded, offering deficient and disingenuous representations of safety for any of the drugs compared. Full article

As the global push for renewable energy intensifies, the materials used in the generation, transmission, and storage of renewable energy systems have come under scrutiny due to their environmental impact. In particular, crosslinked polymers are extensively utilized in these systems because of their excellent thermal, mechanical, and electrical properties. However, their non-recyclable nature and significant waste generation at the end of their service life present severe sustainability challenges. This review employs a citation network-based methodology to analyze the role of crosslinked polymers in renewable energy systems, with a focus mainly on two critical applications: (1) production, specifically in the manufacturing of wind turbine blades; and (2) transmission, where they are integral to high-voltage cable insulation. Our complex network analysis reveals the major themes within the field of sustainability, providing a structured approach to understanding the lifecycle challenges of crosslinked polymers. The first part explores the primary polymers used, their typical lifespans, and the environmental burden of generated waste. We then describe both traditional recycling strategies and innovative approaches, such as supercritical water processing and thermoplasticizing technologies, which offer potential solutions to mitigate these impacts. Finally, we highlight emerging reprocessable materials, including vitrimers, ionomers, and specialty thermoplastic alternatives, which provide recyclability while maintaining performance. This comprehensive assessment emphasizes the urgent need for innovation in polymer science to achieve a circular economy for renewable energy systems. Full article

This paper argues that investing in artificial intelligence (AI) in developing economies involves significant trade-offs requiring ethical, financial, and geopolitical scrutiny. While AI is increasingly seen as a vehicle for technological leapfrogging, such ambitions often mask structural constraints, including weak infrastructure, limited institutional capacity, and external dependency. Using the economic theory of opportunity cost—extended through the political economy and digital governance perspectives—this study critically examines AI policy strategies in Ghana, Kenya, and Rwanda. A qualitative design grounded in secondary data and a thematic analysis reveal how AI investment may reallocate scarce resources away from essential services, exacerbate inequality, and entrench strategic technological dependency. This paper proposes a public policy framework built on four principles—sequential readiness, strategic alignment, ethical governance, and capacity building—to guide equitable AI deployment. It argues for establishing a digital social compact between states, citizens, and technology actors to safeguard public interest in AI-driven development. Finally, this paper outlines a future research agenda emphasizing the mixed-method evaluation of AI’s long-term social impacts, including employment, inclusion, and public service delivery. Full article

The relentless drive to meet global demand for poultry products has pushed for rapid intensification in chicken farming, dramatically boosting efficiency and yield. Yet, these gains have exposed a host of complex welfare challenges that have prompted scientific scrutiny and ethical reflection. In this review, I critically evaluate recent innovations aimed at mitigating such concerns by drawing on advances in behavioral science and digital monitoring and insights into biological adaptations. Specifically, I focus on four interconnected themes: First, I spotlight the complexity of avian sensory perception—encompassing vision, auditory capabilities, olfaction, and tactile faculties—to underscore how lighting design, housing configurations, and enrichment strategies can better align with birds’ unique sensory worlds. Second, I explore novel tools for gauging emotional states and cognition, ranging from cognitive bias tests to developing protocols for identifying pain or distress based on facial cues. Third, I examine the transformative potential of computer vision, bioacoustics, and sensor-based technologies for the continuous, automated tracking of behavior and physiological indicators in commercial flocks. Fourth, I assess how data-driven management platforms, underpinned by precision livestock farming, can deploy real-time insights to optimize welfare on a broad scale. Recognizing that climate change and evolving production environments intensify these challenges, I also investigate how breeds resilient to extreme conditions might open new avenues for welfare-centered genetic and management approaches. While the adoption of cutting-edge techniques has shown promise, significant hurdles persist regarding validation, standardization, and commercial acceptance. I conclude that truly sustainable progress hinges on an interdisciplinary convergence of ethology, neuroscience, engineering, data analytics, and evolutionary biology—an integrative path that not only refines welfare assessment but also reimagines poultry production in ethically and scientifically robust ways. Full article

In an era of global digitalization, understanding the drivers of corporate digital transformation is crucial for sustainable economic growth. This study examines the impact of analyst attention on the digital transformation of Chinese firms using a comprehensive dataset of 27,850 firm-year observations from 2010 to 2023. We employ regression analysis—including fixed effects, robustness checks, and instrumental variable approaches—to assess whether increased scrutiny from financial analysts influences the adoption of advanced digital technologies. Our empirical results reveal that heightened analyst attention significantly promotes digital transformation. Furthermore, environmental, social, and governance (ESG) performance partially mediates this relationship, while CEO green experience moderates it by amplifying the positive effect of analyst attention. These findings underscore the critical roles of external monitoring and leadership in driving digital initiatives and provide valuable insights for policymakers and corporate managers seeking to integrate sustainability practices into digital strategies. Full article

Development of a defensible source-term model (STM), usually a thermodynamical model for radionuclide solubility calculations, is critical to a performance assessment (PA) of a geologic repository for nuclear waste disposal. Such a model is generally subjected to rigorous regulatory scrutiny. In this article, we highlight key guiding principles for STM model development and validation in nuclear waste management. We illustrate these principles by closely examining three recently developed thermodynamic models with the Pitzer formulism for aqueous H⁺—Nd³⁺—NO₃⁻(—oxalate) systems in a reverse alphabetical order of the authors: the XW model developed by Xiong and Wang, the OWC model developed by Oakes et al., and the GLC model developed by Guignot et al., among which the XW model deals with trace activity coefficients for Nd(III), while the OWC and GLC models are for concentrated Nd(NO₃)₃ electrolyte solutions. The principles highlighted include the following: (1) Principle 1. Validation against independent experimental data: A model should be validated against experimental data or field observations that have not been used in the original model parameterization. We tested the XW model against multiple independent experimental data sets including electromotive force (EMF), solubility, water vapor, and water activity measurements. The results show that the XW model is accurate and valid for its intended use for predicting trace activity coefficients and therefore Nd solubility in repository environments. (2) Principle 2. Testing for relevant and sensitive variables: Solution pH is such a variable for an STM and easily acquirable. All three models are checked for their ability to predict pH conditions in Nd(NO₃)₃ electrolyte solutions. The OWC model fails to provide a reasonable estimate for solution pH conditions, thus casting serious doubt on its validity for a source-term calculation. In contrast, both the XW and GLC models predict close-to-neutral pH values, in agreement with experimental measurements. (3) Principle 3. Honoring physical constraints: Upon close examination, it is found that the Nd(III)-NO₃ association schema in the OWC model suffers from two shortcomings. Firstly, its second stepwise stability constant for Nd(NO₃)₂⁺ (log K₂) is much higher than the first stepwise stability constant for NdNO₃²⁺ (log K₁), thus violating the general rule of (log K₂–log K₁) < 0, or $\frac{K_1}{K_2}>1$. Secondly, the OWC model predicts abnormally high activity coefficients for Nd(NO₃)₂⁺ (up to ~900) as the concentration increases. (4) Principle 4. Minimizing degrees of freedom for model fitting: The OWC model with nine fitted parameters is compared with the GLC model with five fitted parameters, as both models apply to the concentrated region for Nd(NO₃)₃ electrolyte solutions. The latter appears superior to the former because the latter can fit osmotic coefficient data equally well with fewer model parameters. The work presented here thus illustrates the salient points of geochemical model development, selection, and validation in nuclear waste management. Full article

This study presents a practical implementation of Business Process Reengineering (BPR) to streamline teaching assignment workflows at the University of Basilicata, a higher education institution (HEI) facing administrative inefficiencies exacerbated by rigid regulatory frameworks. By integrating process modeling, simulation, and digital tools, the research addresses systemic bottlenecks in resource allocation, transparency, and procedural delays inherent in traditional academic workflows. The methodology employs a dual-phase approach: (1) a detailed “AS-IS” analysis using BPMN 2.0 to map existing processes and (2) a data-driven “TO-BE” redesign validated through discrete event simulation (Simul8^®, Version 31). Key innovations include the automation of approval workflows, dynamic resource prioritization, and stakeholder communication protocols. Simulation results demonstrate a 35% reduction in end-to-end processing time and a 22% improvement in administrative staff utilization while maintaining compliance with national accreditation standards (the AVA framework) and legislative mandates (Law 240/2010). The case study underscores BPR’s role in balancing bureaucratic constraints with operational agility, offering actionable insights for HEIs navigating digital transformation. By prioritizing transparency and stakeholder alignment, the redesigned process not only enhances efficiency but also strengthens accountability in resource management—a critical factor for public institutions under increasing scrutiny for fiscal and educational quality outcomes. This work contributes to the growing discourse on BPR in academia, advocating for simulation-driven methodologies as catalysts for sustainable, stakeholder-centric process innovation in bureaucratic environments. Full article