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Fine and hyperfine (de-)excitation of C
No full textWe present a quantum scattering study of the fine and hyperfine rotational (de-)excitation of the linear carbon-chain radical C4H (X2Σ+) in collisions with helium atoms at low temperatures relevant to the interstellar medium (ISM). For those purposes, a new highly accurate two-dimensional potential energy surface (2D-PES) for the C4H–He weakly bound complex was generated using the spin-restricted explicitly correlated coupled-cluster RCCSD(T)-F12 approach in conjunction with the aug-cc-pVTZ basis sets and full counterpoise corrections. The resulting 2D-PES exhibits pronounced anisotropy, featuring a global minimum at a T-shaped configuration and a secondary local minimum at linear geometry. Such anisotropy significantly affects the collisional dynamics. Based on this 2D-PES, we performed quantum close-coupling scattering calculations followed by angular momentum recoupling techniques to obtain state-to-state inelastic cross sections and temperature-dependent rate coefficients for transitions between the fine and hyperfine structure levels of C4H radical. Our computations reveal a marked preference for Δj = ΔN = ±2 fine-structure transitions, governed by the dominant second-order anisotropic term in the Legendre expansion of the interaction potential. Additionally, hyperfine-resolved rate coefficients display enhanced probabilities for transitions with ΔF = Δj, particularly at high rotational levels. This study provides the first set of fine- and hyperfine-resolved rate coefficients for the C4H–He system, offering essential input for non-local thermodynamic equilibrium modeling of C4H absorption and emission in cold astrophysical environments. Indeed, the present set of data should enable more accurate interpretations of observational spectra from cold molecular clouds and circumstellar envelopes, and contribute to our understanding of the excitation dynamics and chemical evolution of carbon-chain radicals in the ISM
Sustainable design of Wuhan Citizen's Home project
No full textThrough the sustainable design practice of the Wuhan Citizen's Home project, we explore design strategies and methods for achieving sustainable development in architecture, accumulating experience for research on sustainable design in architecture
SEM-EDX Characterization of Fe
No full textThe development of metal-oxide-based materials as catalysts for biomass conversion into bioenergy is essential to enhance reaction efficiency and operational stability. Iron (III) oxide (Fe2O3) possesses favorable redox properties, while graphene provides high electrical conductivity and large surface area, making their combination a promising catalytic system. This study aimed to compare the microstructure and elemental composition of Fe2O3/graphene composites prepared under non-sintered and sintered conditions as a preliminary step toward a biomass catalyst. The composites were synthesized by co-precipitation methods and processed in two conditions: without sintering and with sintering at 600 °C and 700 °C for 1 h. Surface morphology and elemental distribution were examined using Scanning Electron Microscopy (SEM) and Energy-Dispersive X-ray Spectroscopy (EDX). The results reveal that sintering produced a more homogeneous surface, controlled porosity, and a more uniform distribution of Fe and C compared with the non-sintered sample. Quantitative EDX analysis indicated increased oxygen content and stabilization of the hematite phase at higher sintering temperatures, supporting the formation of active catalytic sites. These findings confirm that optimizing the sintering temperature plays a critical role in improving the microstructural quality of Fe2O3/graphene composites and highlight their potential as catalytic materials for biomass conversion and sustainable bioenergy applications
Research on the Role of Natural Landscapes in Tropical Coastal Cities in Residents' Physical Activities
No full textThis study focuses on the impact mechanism of the natural landscape of parks in tropical coastal areas on residents' physical activities. Taking Haikou Baishamen Park and its adjacent beach as a case study, it integrates methods such as on-site observation, in-depth interviews, and online text investigation to study the characteristics of residents' physical activities in typical natural landscape areas (beach, lake, lawn, grove, and stream). Based on the coding and analysis of textual data, this study reveals significant differences in the activity patterns of residents within different landscape types, and explores the promoting and restricting effects of various landscapes on physical activities and their internal mechanisms. The results clarify the site effect of different natural landscapes, and then put forward targeted suggestions for optimizing the landscape design of tropical coastal parks to improve the residents’ physical activity levels
Communication strategy of etnaprana board in building the etnaprana
No full textEthnowellness Nusantara (Etnaprana) represents Indonesia’s indigenous wellness heritage, yet it risks fading without effective preservation and global promotion. The Etnaprana Board seeks to mitigate this through ecosystem development, but success relies heavily on strategic communication. This study evaluates the Board’s current communication strategies and identifies improvements needed to foster stakeholder collaboration. Employing a qualitative approach, data were collected via in-depth interviews with internal Board members and external stakeholders—including government, academia, and business leaders—supported by secondary document analysis. Findings indicate that current strategies are informal and overly reliant on parent-company marketing, hindering engagement across the pentahelix framework. Stakeholders call for a dedicated public relations function, improved strategic messaging, and digital storytelling to ensure structured collaboration and transparency. The study underscores the critical intersection of traditional wellness and modern communication. It concludes that strengthening the Etnaprana Board’s communication capacity is essential for positioning Ethnowellness Nusantara as a key asset in cultural diplomacy and wellness tourism. These insights provide a practical model for organizations preserving intangible cultural heritage through strategic public engagement
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No full textIn this paper, we introduce the concept of the Lp,s-Gaussian surface area measure of a convex body in n-dimensional Euclidean space Rn and formulate the corresponding Lp,s-Gaussian-Minkowski problem: Given a finite Borel measure μ on Sn-1, what are the necessary and sufficient conditions for the existence of a convex body whose Lp,s-Gaussian surface area measure equals measure μ? Furthermore, we present a solution to the Lp,s-Gaussian-Minkowski problem for the case of even measures
Co-simulating photovoltaics and environments: a proof-of-concept for solar forecasting operation
No full textThis work proposes a co-simulation framework designed to simulate the relation between operational quantities for photovoltaic (PV) systems and local environmental quantities. It is based on the Functional Mock-up Interface (FMI) and a simulation environment that instantiates a simple irradiance-to-power chain and a microclimate model. A generalisable data-mapping scheme is introduced to facilitate effective communication between numerical instances. This scheme relies on the precise definition of thermal boundary conditions in each functional mock-up unit. In addition, the irradiance-to-power chain includes a conversion stage (e.g., DC/DC converter, maximum power point tracking controller, ideal battery) that allows one to mimic a basic unit commitment schedule. The framework is then tested for a specific floating photovoltaic array in the context of day-ahead solar forecasting. In this context, operational numerical weather prediction (NWP) is used to initialise the co-simulation framework and the microclimate instance recomputes the downward solar and thermal irradiation based on the atmospheric profiles of temperature and water content (vapour, liquid), and takes into account the optical effects from aerosols. In doing so and focussing only on the clear-sky situation, the co-simulation framework is found to refine energy forecasting by approximately 3% when compared to standalone simulation fed by NWP data. The co-simulation also allows us to predict the increase in air temperature due to the PV / atmosphere feedback, which remains limited in the studied PV configuration (less than 1 °C at 2.5 m height). Finally, the co-simulation is applied for various fictive scenarios mimicking the change in operational conditions (total energy curtailment and evolving convective transfer efficiency). Reproducing the heat production of the PV module from the maximum power point voltage to the open-current voltage, the impact on the air temperature is found to be approximately 0.3 °C, so the increase in the magnitude of the heat island effect would not be significant. However, the change in downward thermal radiation during energy curtailment scenario can affect the surrounding environment. This is particularly the case for eco-photovoltaic systems such as agrivoltaics or floating PV, for which the proposed co-simulation should be able to better anticipate the physical forcings on the ecosystems
Strengthening Climate-Resilient PPPs: A Local Government Framework for Strategic Communication, Fiscal Transparency, and Strategic Alignment
No full textMobilizing private capital to develop climate-resilient infrastructure requires effective government communication and cross-sector collaboration, especially in the context of developing countries with fiscal constraints. The success of local governments in enabling private investments depends on transparent communication, coherent political messaging, and alignment with corresponding stakeholders. This paper proposes a practical framework to help assess local government capacity to engage in climate-resilient infrastructure using the Public-Private Partnership (PPPs) scheme. The framework reviews three interconnected enablers: (1) fiscal communication capacity, assessed through publicly accessed financial indicators such as the Debt Service Coverage Ratio (DSCR) used in Indonesia’s availability-payment PPP regulations; (2) political coherence, as seen through legislative support and messaging from executive and legislative leaders; and (3) strategic alignment, reflected in how infrastructure goals are clearly stated in accessible development plans. This framework is applied to the Madiun Regency’s energy-efficient street lighting PPP project, implemented through a DBFMOT model. Madiun’s success stemmed from adequate communication between executive and legislative government officials, engagement with national agencies, and proper disclosure of fiscal capacity and project objectives. The project succeeded in lowering electricity costs, improving safety, and enhancing local business activities. Government guarantees provided through IIGF further strengthened risk allocation thus helping to increase investor confidence. Overall, this study highlights how strengthened communication, internal consensus-building, and aligned strategic narratives can enhance government-owned climate-infrastructure investmen
Generalized Gradient Method for the Stability of Solutions to Herglotz-Type Equations for Non-Autonomous Non-Conservative Systems
No full textThe stability of solutions of Herglotz-type equations for non-autonomous non-conservative systems is studied by means of generalized gradient method. Firstly, Herglotz-type equations for non-conservative systems are given and expressed as contravariant algebraic form. Secondly, two classes of generalized gradient systems are introduced. Thirdly, the conditions for the transformation of Herglotz-type equations into generalized gradient systems are given, and the solutions of Herglotz-type equations and the stability of the solutions are analyzed. Finally, for each case discussed in this paper, the calculation process is demonstrated in detail to show that the method is effective
Navigating learning with generative AI: Student perspectives and experiences in indonesian higher education
No full textGenerative AI tools like ChatGPT and Gemini are increasingly used by Indonesian students in their academic work. This study explores students’ perceptions and usage of these technologies using the Technology Acceptance Model (TAM), focusing on perceived ease of use, usefulness, attitudes, behavioral intention, actual use, and AI digital literacy. A quantitative survey approach was employed. Results show that students with higher AI literacy find these tools easy to use and beneficial, and ease of use positively influences perceived usefulness and overall attitudes. While most students hold positive views toward AI, this positivity does not always translate into intent to continue using it, other contextual factors, like access and academic habits, play a significant role. However, those with strong intention to use AI are more likely to actively integrate it into their learning. Findings suggest that responsible AI use requires more than technical skills; it demands ethical awareness and critical thinking. Therefore, educational institutions should develop supportive frameworks through policies, guidance, and pedagogical strategies that promote AI not just as a tool, but as a collaborative partner in learning