Search Results (6,595)

Non-mechanical beam steering technology based on liquid crystal optical switches and liquid crystal polarization gratings holds significant application prospects in fields such as laser communication, radar detection, and optical information processing. Traditional nematic liquid crystal optical switches exhibit slow response speeds, whereas novel ferroelectric liquid crystal optical switches, despite their fast response, are hampered in engineering applications by complex fabrication processes, the large number of devices required for cascading, and substantial module thickness. To address these issues, this paper proposes and demonstrates a fast non-mechanical beam steering scheme by cascading a stressed polymer network liquid crystal (SPNLC) optical switch with a liquid crystal polarization grating. The SPNLC is fabricated by mechanically shearing a polymerized liquid crystal–polymer composite, enabling sub-millisecond response and continuous linear phase modulation without the need for an alignment layer. A 30-μm-thick SPNLC half-wave plate was prepared, which introduces a phase retardation of 3.6 μm under a driving voltage of 300 V, and the rise time and fall time are measured to be approximately 526 μs and 560 μs at a driving voltage of 20 V with a 1 kHz square wave, and 470 μs and 538 μs at 27 V under the same waveform conditions. Cascaded with a passive polarization grating, the waveplate enables fast electrical switching of the beam between the ±1st diffraction orders. Furthermore, a two-dimensional multi-angle beam deflector was constructed based on a supra-binary cascade scheme. Experimental results confirm that the system possesses sub-millisecond response, large phase retardation, continuous tunability, and an alignment-layer-free fabrication process, demonstrating its feasibility for large-range fast beam scanning. Full article

The core predicament of energy transition lies not in the availability of clean technologies, but in whether an economy possesses the institutional capacity and social foundation to systematically regulate its carbon-energy metabolic processes. Drawing upon co-evolutionary theory from evolutionary economics, this paper constructs a composite indicator of Low-Carbon Green Energy Eco-Co-evolution (LCEE) encompassing three functional dimensions: efficiency advancement, kinetic energy replacement, and boundary adherence. Concurrently, by integrating innovation ecosystem theory with inclusive development theory, we propose the concept of “Inclusive Potential of Regional Innovation Ecosystems” (IEP), characterizing the systemic potential for transforming innovation outcomes into social welfare across four dimensions: Knowledge Matrix Abundance (KMF), Cultural Capillary Permeation (CCP), Technological Community Succession (TCS), and Social Root Nourishment (SRN). Taking China’s 2016 intellectual property (IP) powerhouse construction pilot as the institutional prototype of Industrial Intellectual Property Upgrading Reform (IPR), we incorporate IPR, IEP, and LCEE into a unified causal analytical framework, proposing a testable transmission logic of ‘institutional supply → ecological development → co-evolutionary synergy. Using panel data from 30 Chinese provincial-level administrative regions over 2010–2022, we employ a Spatial Durbin Difference-in-Differences (SDM-DID) model to identify the direct and spatial spillover effects of IPR on LCEE, and embed a Double Machine Learning (DML) framework to test the mediating mechanism of IEP while controlling for high-dimensional nonlinear interference. The findings reveal that IPR exerts a significant and robust direct promoting effect on LCEE, generating positive spatial spillovers to neighboring regions through the public disclosure of patent information. IEP significantly promotes local LCEE, yet its spatial spillover lacks statistical support due to structural conflicts in inter-dimensional transmission attributes. IEP plays a significant partial mediating role between IPR and LCEE, with the indirect effect accounting for over one-third of the total effect, a finding robust to alternative machine learning algorithms, sample split adjustments, and exclusion of contemporaneous competing policies. Sub-path tests reveal that KMF bears the strongest mediating efficacy, serving as the primary transmission channel, while CCP exhibits full mediation—the institutional effect on LCEE in the cultural dimension depends almost entirely on the mediating transformation through the public cultural service system. Heterogeneity analysis further demonstrates full mediation in the Low-Carbon Green Energy Eco-Kinetic Replacement (KER) dimension, indicating that the institutional catalytic effect on clean energy substitution must be realized through IEP transformation. This paper provides empirical evidence for the proposed causal pathway through which institutional public goods indirectly enhance the synergistic quality of carbon-energy transition via the inclusive potential of innovation ecosystems, providing theoretical foundations and policy implications that, while grounded in China’s institutional context, may offer valuable reference points for emerging market economies facing similar dual pressures of technological constraints and green transition. Full article

Light fidelity (LiFi) is progressively evolving as a highly promising communication technology because of its unique benefits, available spectrum, low implementation costs, and adaptive beamforming capabilities. Despite their advantages, existing LiFi networks remain constrained by limited data rates, coverage area, and information security in practical environments. Therefore, a high-speed, high-capacity, and secure quantum key distribution (QKD)-assisted integrated multi-wavelengths (450/532/620 nm) LiFi system using mode division multiplexing (MDM) is proposed. The results demonstrate that the proposed system achieves maximum transmission distances of 20.5–22 m and 19–22 m using different Laguerre–Gaussian (LG) and Hermite–Gaussian (HG) mode indices {[0,0], [0,10], [0,20], [0,30]}, at an aggregate data rate of 40 Gbps. Furthermore, the minimum acceptable transmitter angles of 30–90° for irradiance angles of 20–80° are required to maintain the target bit error rate (BER) of 10⁻⁹. The minimum photodetector detection areas required at transmission distances of 20–30 m are 1–2 cm² at the minimum BER limit. Moreover, the proposed system exhibits optimum performance, achieving an optical loss of −39.47 dB, −49.03 dBm received power, and 45.39 dB signal-to-noise ratio for 1–10 photons/pulse. Compared with existing studies, the proposed system demonstrates enhanced overall performance across various communication metrics. Full article

Soilless Culture has changed rapidly over the past decades, driven by advances in hydroponics, protected cultivation, environmental monitoring, vertical farming, and more sustainable production practices. These developments have also created new demands for undergraduate education, particularly in disciplines where scientific knowledge and technology evolve continuously. This study examined the longitudinal development of an undergraduate Soilless Culture course at Universidad de Talca, Chile, over more than twenty-five years. A retrospective longitudinal case study was conducted using institutional records, course syllabi, teaching materials, assessment instruments, practical activities, infrastructure records, and anonymized student performance data. Changes in scientific content, practical learning environments, competency development, and assessment strategies were analyzed, while final-grade records from 2021 to 2025 were summarized descriptively. Over time, the course evolved from a predominantly hydroponics-based approach to a broader curriculum incorporating substrate cultivation, recirculating nutrient solutions, and protected cultivation, toward practical work involving microgreens in floating-tray systems, nutrient solution formulation, substrate-based seedling systems, and the design or operation of recirculating NFT systems and introductory activities related to vertical farming. Practical learning environments expanded alongside disciplinary advances, and assessment progressively shifted toward authentic activities requiring students to apply technical knowledge, solve problems, justify management decisions, and communicate scientific information. Student performance remained consistently satisfactory despite the increasing complexity of the curriculum. The findings demonstrate that the long-term relevance of a specialized horticultural curriculum can be maintained through continuous evidence-informed revision rather than isolated major reforms. Unlike previous reports focused on individual educational interventions, this study documents how sustained curriculum renewal over more than two decades can preserve disciplinary coherence while progressively incorporating scientific advances, technological innovation, experiential learning, and professional competency development. Full article

Background: Current evidence on diabetes care interventions is either fragmented or focused on specific interventions targeting healthcare professionals or patients. This study aims to categorize diabetes care interventions involving physicians or nurses and their impact on health outcomes for individuals with diabetes. Additionally, it aimed to determine the proportion of favorable findings across healthcare intervention categories. Methods: This scoping review was conducted in primary care settings and guided by a health system framework. We searched articles from inception to June 2022 in databases including CENTRAL, MEDLINE, Embase, PsycINFO, and CINAHL. The classification of healthcare interventions was guided by the Cochrane Effective Practice and Organization of Care taxonomy and health system framework. Results: Results were reported following the PRISMA Extension for Scoping Reviews. From the initial pool of 13,406 articles, 116 met the eligibility criteria and reported interventions conducted across 119 countries or regions, of which 94 were high-level economies. Five healthcare intervention categories were identified: transforming the workforce; service content; re-designing the service delivery system; information and communication technology; and multifaceted. Patient health outcomes were classified into 3 overarching categories with 11 subcategories: clinical outcomes, behavioral outcomes, and psychosocial outcomes. The proportion of statistically significant favorable findings differed across intervention categories and outcome domains. Multifaceted interventions showed relatively higher proportions of favorable findings for clinical outcomes, whereas re-designing the service delivery system interventions showed relatively higher proportions for behavioral outcomes. ICT interventions frequently reported favorable findings related to blood glucose indicators. Conclusions: This study provides a comprehensive overview of healthcare interventions and health outcomes for diabetes in primary care settings. It emphasizes the importance of tailored interventions, delivery methods, and technology integration for effective diabetes management, advocating for a comprehensive approach from individual to societal levels. Full article

Innovation is an everyday imperative in the information and communication technology (ICT) sector, yet the psychological conditions through which well-being is associated with innovative action remain insufficiently understood. This study investigates whether subjective vitality and creative self-efficacy constitute distinct psychological pathways—an energy-based and a belief-based mechanism, respectively—through which psychological well-being becomes associated with innovative work behavior, thereby providing a more differentiated examination of the assumption that psychologically healthy employees are more likely to behave innovatively. An online survey was administered to 463 ICT-sector employees in Türkiye, and partial least squares structural equation modeling (PLS-SEM) was used to test direct and indirect relationships with comprehensive assessment of measurement quality, predictive relevance, and effect sizes. Creative self-efficacy emerged as a meaningful indirect pathway linking psychological well-being to innovative work behavior, whereas subjective vitality, though strongly predicted by well-being, showed no significant relationship with innovative outcomes. These findings suggest that not all positive psychological states are equally innovation-relevant: among ICT employees, the indirect association between well-being and innovation was evident through employees’ confidence in their own creative capability rather than through feelings of psychological energy—a distinction with meaningful implications for both theory and practice in knowledge-intensive, digitally dynamic organizations. Full article

Large-scale maritime activity, persistent shipping incidents, and complex marine environments continue to place substantial demands on maritime search and rescue (MSAR). Current MSAR systems do not fully capitalize on the complementary strengths of unmanned aerial vehicles (UAVs) and satellites for collaborative tracking and rescue support. Existing air-space collaboration technologies suffer from two critical limitations: (1) rigid processes, including fixed task allocation, pre-determined path planning without real-time environmental adaptation, and isolated satellite–UAV decision-making, and (2) long task completion cycles, mainly because many methods are adapted to wide-area, long-duration military tracking scenarios. They therefore provide limited support for the dynamic flexibility required in MSAR. This study proposes a Proximal Policy Optimization (PPO)-based air-space collaborative tracking method for maritime moving targets to address these shortcomings and enhance air-space cooperation in MSAR operations. The core implementation of the method includes: (1) integration of target drift forecasting, satellite orbit prediction, UAV task allocation, and path planning into a unified reinforcement learning framework to reduce isolated single-platform decision-making; (2) the adoption of PPO to generate dynamic and flexible air-space collaborative tracking strategies that adjust satellite observation angles and scanning ranges, as well as UAV altitude, speed, and heading according to real-time target, environmental, and platform states; and (3) the design of a multi-dimensional reward function that balances target proximity, energy efficiency, coverage overlap, and inter-platform cooperation to guide strategy optimization. Simulation experiments include system-feasibility verification, baseline-controller comparison, PPO hyperparameter screening, and cross-scenario evaluation. Under idealized communication and payload-matching assumptions, the method enables coordinated tracking of maritime moving targets in simulated MSAR scenarios. In the standardized evaluation, PPO achieved an 11.9% higher mean evaluation episode return, 11.2% lower aggregate UAV energy consumption, and a 9.92-percentage-point greater endurance margin than DDPG. Hyperparameter screening compared candidate learning rates, discount factors, and training budgets, informing the PPO configuration for the subsequent six-scenario evaluation. Across the six controlled scenarios, rewards stabilized after approximately 1400 steps, while action magnitudes varied among regions. These results indicate that the proposed method has potential to enhance air-space collaborative tracking for MSAR decision support. Full article

Testbed configurations and interfacing methods for real-time digital simulation of cyber-physical power systems (CPPS) remain complex and fragmented across the literature, limiting the clarity with which researchers can compare tools, reproduce testbeds, and select suitable platforms for communication-aware control and cyber security studies. This paper addresses this issue by first comparing the latest works with particular focus on the method of interfacing and configuration architecture, and second, by showcasing two representative testbeds, used for analysing the impact of cyber events on distribution system and microgrid operation. The first testbed interfaces HYPERSIM (OPAL-RT Technologies) with MATLAB (version R2025a) using Modbus over TCP/IP for data exchange. This testbed configuration is capable of capturing the impacts of communication delays on Volt-VAR control in a modified IEEE 13-node test feeder. The second testbed uses two real-time power simulators, OPAL-RT and Typhoon HIL, both interfaced with the discrete-event simulator (DES) EXata Network Modelling (by Keysight Technologies) through modular Python-based scripts. This interfacing effectively enables the simulation of cyber attacks in microgrids. These testbeds show how recent advances in real-time simulation are enabling more practical cross-domain analysis of communication effects, control performance, and cyber vulnerabilities, while informing the design of more capable and future-ready CPPS simulation environments. Full article

Renewable energy communities (RECs) are increasingly recognised as important instruments for accelerating the transition towards decentralised, low-carbon energy systems. However, technological progress and supportive policies alone cannot ensure their success, as participation depends largely on citizens’ behavioural readiness. This study investigates the behavioural determinants of participation in renewable energy communities by extending the Theory of Planned Behaviour (TPB) with four motivational dimensions: environmental, economic, technical, and social. A quantitative cross-sectional survey of 174 household electricity users in Slovenia was analysed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The findings show that environmental and economic motivations were positively associated with Attitudes, Technical Motivation was positively associated with Perceived Behavioural Control, and Social Motivation was positively associated with Subjective Norms. These TPB constructs are positively associated with behavioural readiness to participate in renewable energy communities. A supplementary exploratory multi-group analysis suggested possible differences between prosumers and conventional consumers. Prosumer status reflected individual household renewable electricity production and not verified REC membership, while Behavioural Readiness captured prospective stated intention and willingness rather than observed participation. However, because the prosumer subgroup comprised only 15 respondents, these group-specific patterns should be interpreted cautiously and require confirmation in larger and more balanced samples. The study extends the Theory of Planned Behaviour by integrating a multidimensional motivational framework and conceptualises participation in renewable energy communities as a socio-technical behavioural process. The findings provide empirically informed insights for policymakers, municipalities, and renewable energy community developers seeking to support citizens’ behavioural readiness to participate in renewable energy communities. Full article

Copper and its alloys are indispensable for electronics, communications, new energy systems, and aerospace engineering due to their exceptional electrical conductivity and mechanical properties. However, the thin cuprous oxide (Cu₂O) layer that naturally forms on copper and its alloys is prone to failure under elevated temperatures and high humidity, particularly in chloride-rich environments, leading to accelerated localized corrosion. While conventional chromate-based passivation has long been the industrial standard for preventing corrosion, its use has been increasingly restricted by global regulations (such as RoHS and REACH) due to its severe toxicity and health risks. To address the conflict between environmental compliance and protective performance, this review systematically evaluates recent advances in environmentally friendly, chromium-free anti-corrosion coatings in the present review. These alternative coatings are critically analyzed and categorized into four mechanistic groups: (i) inorganic conversion coatings (including molybdate, tungstate, rare earth, and phosphate systems); (ii) organic films formed via chemical or physical adsorption (such as organic inhibitors, thiol-based monolayers, and organosilane self-assembled films); (iii) conversion coatings engineered through covalent bonding, coordination chemistry, and microstructural tailoring; and (iv) multifunctional coatings that integrate self-healing capability with high electrical conductivity. Beyond providing a technical summary, this review explored how the swift progression of electronic information technology, new energy infrastructure, and robotics has imposed more exacting, multifunctional demands on copper components. This review provides a strategic roadmap for future research and prioritizes the creation of protection strategies that operate robustly in multi-physics coupling environments—integrating high conductivity, autonomous self-healing, and long-term chemical stability to ensure the reliability of next-generation infrastructure. Full article

This study analyses household energy consumption patterns and the main energy-related challenges in the rural communities of San Sebastián de Yuluc and Sumaypamba, Ecuador, within the framework of sustainable community energy planning. A quantitative descriptive approach was adopted, based on structured household surveys and statistical analyses using descriptive statistics, nonparametric correlations, and mean comparisons. The results show that electricity consumption in both communities remains below the national household average, while liquefied petroleum gas remains the dominant cooking energy source. Firewood is still used by a portion of households, whereas the adoption of active solar energy systems is practically non-existent. Significant differences in electricity consumption were identified across communities, as were heterogeneous consumption patterns associated with household equipment and living conditions. In Sumaypamba, a strong positive correlation was found between electricity and gas consumption, suggesting complementary rather than substitutive energy use. The findings reveal limited infrastructure, unequal access to modern energy technologies, and a persistent dependence on non-renewable fuels. These results provide evidence to inform local energy transition strategies focused on rural electrification, energy efficiency, and renewable microgeneration to improve energy access, sustainability, and community resilience. Full article

The Smart Readiness Indicator (SRI) provides a European framework for assessing the capacity of buildings to optimise operation, respond to occupants and interact with energy grids. Its current catalogue covers nine domains: heating, cooling, domestic hot water, ventilation, lighting, dynamic envelope, electricity, electric vehicle charging, and monitoring and control. This Perspective argues that this boundary is too narrow for complex buildings, where services such as lifts, security, fire safety, swimming pools, irrigation, outdoor lighting, kitchens, laundries, refrigeration, laboratories, and information and communication technology (ICT) rooms may significantly affect energy use, water use, safety, resilience, maintenance and user experience. The paper proposes five additional service families for SRI 2.0: mobility and accessibility; safety and security; water and outdoor environmental services; outdoor and site infrastructure; and special energy-intensive and facility services. These should be introduced as optional, building-type-specific modules assessed through familiar SRI functionality levels. This would make the SRI more realistic, actionable and relevant. Full article

Artificial intelligence (AI) is commonly assessed through the electricity used by models and data centres, leaving the carbon transferred through the wider production system insufficiently resolved. We disaggregate China’s AI industry from the broader information and communication technology sector and construct comparable 31-sector environmentally extended input–output accounts for 2015, 2017, 2020 and 2023. Embodied-emission accounting is integrated with linkage analysis, structural path analysis and structural decomposition analysis to quantify the footprint, locate critical supply-chain pathways and explain temporal change. AI-related embodied CO₂ emissions increased from 140.03 Mt in 2015 to 324.37 Mt in 2023. Indirect emissions reached 187.01 Mt in 2023 and remained higher than direct emissions, while backward linkages consistently exceeded forward linkages. Approximately half of the footprint was concentrated within the first three production tiers, with other ICT, electricity and heat, transport, metals and non-metallic minerals forming the largest short paths. In the current-price SDA, domestic final demand was associated with a 138.82 Mt increase between 2020 and 2023, outweighing the 20.24 Mt reduction from production-structure change. The results recast AI decarbonisation as a systems-governance problem: operational efficiency must be coupled with demand management, low-carbon electricity, hardware circularity and targeted upstream procurement. Full article

Generative artificial intelligence (AI) is entering religious communication not only through chatbots and generated text, but also through images and reels on social media. Yet research in this field has paid limited attention to what images contribute beyond their accompanying words. This article examines how AI-assisted visuals are incorporated into Indonesian Muslim Instagram accounts linked to Nahdlatul Ulama (NU) and what communicative work they perform. Informed by the Religious Social Shaping of Technology framework and visual-culture scholarship, the study combines qualitative digital observation with content and multimodal analysis of eleven posts from three accounts and sampled comments. The visuals were adopted selectively within established organisational, humour-oriented, and preacher-led modes of address. AI functioned through amplification: synthetic construction gave bodily and spatial form to themes of national belonging, moral criticism, santri conduct, and interreligious engagement, while enabling encounters that could not readily be photographed. These moral positions became legible through familiar signs, but authority remained with the organisation, collective voice, or public persona through which the images were framed and circulated. AI-assisted imagery is therefore best understood as situated visual mediation: it expands what religious communicators can picture without independently determining the meaning or authority of what is pictured. Full article

Natural and man-made disasters at the urban level represent a major challenge to increasing resilience. According to the UN Agenda 2030, Disaster Risk Reduction (DRR) is a priority at the global level. Different actions can be planned and implemented before and after a disastrous event. The focus of this research is on actions to take before the event to increase preparedness. This paper focuses on exercises and training activities designed to reduce the gaps between actions performed before and after disastrous events. These actions include discussion-based and operation-based actions, classified by increasing levels of complexity and capability. Serious Games (SGs) represent a discussion-based action with the greatest level of complexity and capability. The objective of this paper is to investigate the potential contribution of SG to increasing preparedness for implementing evacuation procedures and thereby enhancing urban resilience. This implies the knowledge of urban mobility in evacuation conditions. This class of SGs combines Transport Risk Analysis (TRA), Transport System Models (TSMs), and emerging Information and Communication Technology (e-ICT) to reproduce, in a virtual environment, a transport system under evacuation conditions. In this way, it is possible to experiment with evacuation planning procedures in a virtual environment. The principal results of a pilot experiment are presented. The SG framework and its pilot implementation show a contribution to reducing orientation time, which may lead to increasing awareness and reducing exposure at the urban level. The paper is of interest to urban scientists and public and private decision-makers involved in disaster risk planning processes. Full article