Search Results (5,910)

The rapid rise of inverter-based resources (IBRs) such as solar, wind, and battery energy storage is transforming power grids and creating new challenges for protection. Unlike synchronous generators, many IBRs are interfaced through grid-following (GFL) inverters that operate as controlled current sources and rely on an external voltage reference, resulting in fault responses that are current-limited and controller-shaped. These characteristics reduce fault current magnitude and can undermine conventional protection schemes. In contrast, emerging grid-forming (GFM) inverters behave as voltage sources that establish local voltage and frequency, offering improved disturbance support but still transitioning to current-limited operation under severe faults. This review summarizes GFL versus GFM operating principles and deployments, compares their behavior under balanced and unbalanced faults, and evaluates protection impacts using a protection-relevant taxonomy supported by illustrative electromagnetic transient (EMT) case studies. Key challenges, including underreach/overreach of impedance-based elements, reduced overcurrent sensitivity, and directional misoperation, are identified. Mitigation options are discussed, spanning adaptive/supervised relaying, communication-assisted and differential protection, and inverter-side fault current shaping and GFM integration. The implications of IEEE 1547-2018 and IEEE 2800-2022 are reviewed to clarify ride-through and support requirements that constrain protection design in high-IBR systems. Full article

Young adults often underuse ultraviolet radiation (UVR) protective strategies and engage in indoor tanning, heightening lifetime skin cancer risk. The national Skin Smart Campus (SSC) initiative encourages universities to adopt policies that reduce UVR exposure. We evaluated a 6-month SSC university campaign using an independent-samples pre-post design with surveys before (N = 230) and after (N = 267) implementation. The campaign included SSC designation, an educational webpage, targeted Instagram content, small media, and sunscreen dispensers. Following campaign launch, knowledge increased over time (t = 5.02, df = 493, p < 0.001), as did dispenser use (21.9% to 57.7%; χ² = 64.4, p < 0.001). The sun safety behavior composite showed an upward trend (13.5 to 14.2, t = 1.71, df = 490, p = 0.09). Variance models indicated a significant time effect (F [1, 482] = 4.55, p = 0.03, η²p = 0.01; small effect), with higher sun safety associated with greater knowledge (F = 8.29, p = 0.004, η²p = 0.02; small effect) and SSC campaign awareness (F = 56.88, p < 0.001, η²p = 0.10; large effect). In multivariable regression, campaign engagement predicted higher odds of dispenser use (Odds Ratio = 3.01, 95% CI: 1.82–4.98, p < 0.001). Implementing SSC with environmental supports and tailored education increased knowledge, sun safety, and dispenser use, highlighting the strong influence of SSC visibility and multimodal campus-wide prevention strategies. Full article

Efficient and harmless disposal of multi-source organic liquid waste is a key requirement in current environmental protection. Herein, we employ high-temperature tube furnaces, small-scale rotary kilns, and industrial rotary kilns as test platforms, focusing on high-temperature conditions (>1200 °C) in existing industrial kilns. Systematic studies on combustion characteristics, pollutant emission laws, and disposal adaptability were conducted. We aim to clarify the intrinsic correlations between co-incineration behaviors, pollutant generation, and disposal feasibility for the co-incineration of multi-source organic liquid waste in cement kilns. The results demonstrate significant interaction effects during the co-incineration of multi-source organic liquids, which reduces combustion energy consumption and improves operational safety. The “micro-explosion” effect generated by high-temperature incineration is the key to regulating pollutant emissions, with CO emissions of only 6.71%. Tests on small and industrial rotary kilns indicate that co-disposal of liquid waste in cement kilns does not affect the stable operation of the kiln or the quality of the cement clinker, and pollutant emissions meet industrial standards. This work can provide a scientific basis and technical support for large-scale, efficient, and clean disposal of organic liquid waste in industrial cement kilns. Full article

This study focuses on sulfuric acid-anodized films formed on 2A12 and 6061 aluminum alloys, in which the corrosion behavior of the oxide films under different film thicknesses, sealing methods, and defect states was investigated through neutral salt spray testing combined with surface morphology characterization and XRD analysis. The results indicate that the corrosion resistance of anodic oxide films is positively correlated with film thickness, while the anodized film on 2A12 aluminum alloy contains more cracks than that on 6061, which can readily serve as long-term corrosion initiation sites. Although the corrosion products of both alloys are identified as Al₂O₃ and AlO(OH), the oxide films on 6061 aluminum alloy exhibit higher compactness than those on 2A12 at all investigated thicknesses, resulting in superior resistance to neutral salt spray corrosion, and both sealing methods provide effective protection for the 6061 aluminum alloy substrate. This study provides experimental and theoretical references for the development and application of anodizing processes for aluminum alloys in chloride-containing marine environments. Full article

This study focuses on fabrication and comprehensive characterization of gold nanoparticles (AuNPs) stabilized with polyvinylpyrrolidone (PVP) and polyethylene glycol (PEG), correlating polymer degradation with colloidal stability and localized surface plasmon resonance (LSPR) behavior under controlled gamma doses from 5 to 125 Gy. AuNPs were synthesized via laser-assisted synthesis (LAS) in aqueous medium containing PVP or PEG as a stabilizing and capping agent. Morphology, size distribution, and surface functionalization of the resulting AuNPs@polymer-stabilized were verified through UV-Vis spectroscopy, FTIR, XRD, DLS, zeta potential, and TEM. Results show that the polymer shell effectively preserved the nanoparticles’ integrity by minimizing aggregation and maintaining LSPR features even after exposure to high gamma doses (>75 Gy). PVP demonstrated superior protection compared to PEG, due to the robustness of the solvation layer and carbonyl groups of PVP coating around the AuNPs. These findings highlight the potential of polymer-stabilized AuNPS for applications in radiation-rich environments, while demonstrating LAS as an environmentally friendly and efficient synthesis route. Full article

Background: Parenting is increasingly recognized as a highly demanding and stressful role that, in the absence of sufficient resources, may lead to parental burnout (PB). This risk may be particularly pronounced in the Russian context, where limited access to childcare for children under three and reduced extended family support coincide with strong social expectations of intensive parenting. Although PB and maternal depression frequently co-occur, it remains unclear whether PB exerts a unique influence on child development, especially during toddlerhood. The present study examined the association between PB and behavioral problems in children aged 1.5 to 4 years while controlling for maternal depression assessed both during the first year postpartum and concurrently with PB. Methods: Using a longitudinal design, maternal mental health was assessed within the first 12 months postpartum (Stage 1) and again at follow-up (Stage 2), on average 2.24 years later, in 419 Russian mother–child dyads. Mothers completed measures of postpartum depression (PPD) (Edinburgh Postnatal Depression Scale), current depressive symptoms (Beck Depression Inventory-II), and PB (Parental Burnout Inventory). Child emotional and behavioral problems were assessed at Stage 2 using the Russian version of the Child Behavior Checklist (CBCL/1½–5). Results: Mothers of children with borderline/clinically significant internalizing, externalizing, and total problems had significantly higher PB, PPD, and present maternal depressive symptoms, although the effect sizes were small. PB was strongly associated with all domains of child behavioral problems, also after correction for both postpartum and present depressive symptoms, as well as for other important covariates. Higher maternal PB symptoms further increased the odds of children having borderline/clinically significant internalizing and externalizing problems, although those effects were not independent of maternal depression. In turn, neither postpartum nor present maternal depressive symptoms were associated with any of the child behavioral problems domains. Conclusions: PB represents a distinct and clinically relevant risk factor for emotional and behavioral problems in toddlers, beyond the effects of maternal postpartum or present depression, in a context characterized by high caregiving demands and limited institutional support. These findings highlight an urgent need for programs aimed at identifying and supporting families in which parents experience high levels of exhaustion, regardless of whether they meet the criteria for other diagnosable mental health disorders. Addressing PB during toddlerhood may be critical for protecting both parental well-being and early child development. Full article

Cryopreservation is a critical strategy for the long-term conservation of plant germplasm, particularly for clonally propagated crops, endangered species, and plants producing recalcitrant seeds. Hydrogel-based encapsulation systems can improve survival during ultra-low-temperature storage by providing mechanical protection, moderating dehydration, and regulating cryoprotectant uptake. Although calcium–alginate beads remain the traditional matrix for encapsulation–dehydration and encapsulation–vitrification, recent advances in biomaterials science have enabled the development of composite polysaccharide blends, protein-based matrices, synthetic polymer networks, macroporous cryogels, and functionalized hybrid hydrogels incorporating surfactants, antioxidants, or nanomaterials. These engineered systems provide improved control over water state, pore architecture, diffusion kinetics, and thermal behavior, thereby reducing cryoinjury and enhancing post-thaw recovery across diverse plant explants. This review synthesizes current knowledge on hydrogel platforms used in plant cryopreservation, with emphasis on how physicochemical properties influence dehydration dynamics, cryoprotectant transport, vitrification stability, and rewarming responses. Performance across major explant types is assessed, key limitations in existing materials and protocols are identified, and design principles for next-generation hydrogel systems are outlined. Future progress will depend on material standardization, integration with automated cryopreservation workflows, and the development of responsive hydrogel matrices capable of mitigating cryogenic stresses. Full article

Cyberattacks in education are a serious concern (e.g., breaches and system intrusions) that teachers need to respond to by cultivating cybersecurity awareness, engaging in continuous professional development, and modeling safe digital practices in their daily work, while technical prevention and mitigation are primarily the responsibility of institutional IT services and system-level governance. Strengthening cybersecurity depends on fostering awareness of how information is collected, analyzed, and used, thereby enabling users to take proactive steps to protect data, which are key components of teachers’ professional media literacy, particularly in managing personal and student information across social media, email, and cloud platforms. This quantitative study was conducted in Hong Kong with 120 early childhood, primary, secondary, and tertiary education teachers (88.3% female, age range = 18–54, Mage = 23.76) via an online survey. The study focused on social media, email, and cloud storage, and administered the Perceived Severity, Perceived Vulnerability, and Self-Efficacy Scales; the Data Protection Strategies Scale; and the Data Fabrication Strategies Scale, along with questions assessing awareness of data protection. Results revealed significant positive relationships among data protection awareness, psychological factors, and use of protection strategies. Awareness and protection strategies were also moderately linked to data fabrication behaviors. The findings indicate concerning gaps in teachers’ awareness of cyberattacks and their limited understanding of media literacy concepts, highlighting the need to integrate comprehensive media literacy training into teacher education programs and also provide intensive, mandatory on-site training for in-service early childhood, primary, secondary, and tertiary education teachers. Full article

Machine learning inference is increasingly deployed on shared and cloud infrastructures, where both user inputs and model parameters are highly sensitive. Confidential computing promises to protect these assets using Trusted Execution Environments (TEEs), yet existing TEE-based inference systems remain fundamentally constrained: they rely almost exclusively on low-level, memory-unsafe languages to enforce confinement, sacrificing developer productivity, portability, and access to modern ML ecosystems. At the same time, mainstream high-level runtimes, such as Python, are widely considered incompatible with enclave execution due to their large memory footprints and unsafe model-loading mechanisms that permit arbitrary code execution. To bridge this gap, we present the first Python-based ML inference system that executes entirely inside Intel SGX enclaves while safely supporting untrusted third-party models. Our design enforces standardized, declarative model representations (ONNX), eliminating deserialization-time code execution and confining model behavior through interpreter-mediated execution. The entire inference pipeline (including model loading, execution, and I/O) remains enclave-resident, with cryptographic protection and integrity verification throughout. Our experimental results show that Python incurs modest overheads for small models (≈$17\%$) and outperforms a low-level baseline on larger workloads (97% vs. 265% overhead), demonstrating that enclave-resident high-level runtimes can achieve competitive performances. Overall, our findings indicate that Python-based TEE inference is practical and secure, enabling the deployment of untrusted models with strong confidentiality and integrity guarantees while maintaining developer productivity and ecosystem advantages. Full article

Background: Shiga toxin (Stx), produced by enterohemorrhagic Escherichia coli (EHEC), is a highly potent exotoxin responsible for severe complications such as hemolytic uremic syndrome (HUS). Among its isoforms, Stx2 exhibits stronger cytotoxicity and poses greater clinical risk, yet no effective therapy currently exists. Methods: In this study, two human monoclonal antibodies, YG12-1 and YG12-2, were identified from a phage display library and systematically characterized using an integrated modeling–validation workflow. Results: Structural modeling with ImmuneBuilder and Rosetta revealed that YG12-2 possessed a longer CDRH3 topology, more short-range hydrogen bonds, and stronger electrostatic complementarity, corresponding to lower binding energy and higher apparent affinity in ELISA and SPR. Although YG12-2 had a better affinity, YG12-1 shows better protective activity in a murine model of acute peritoneal infection. This paradox highlights a non-linear relationship between structural affinity and biological efficacy, emphasizing the importance of functional epitope accessibility and pharmacokinetic behavior in determining neutralization outcomes. Conlusion: Overall, these results indicated that targeting Stx2 with YG12-1 and YG12-2 could serve as a promising protective strategy against E. coli O157:H7 infection. Full article

CrAlN coatings are widely used for surface protection because of their excellent properties. Alloying with additional elements has been shown to effectively modify mechanical and tribological behavior of these coatings. In this study, CrAlMo_xN coatings (x = 0–18.83 at%) were prepared by an arc ion plating technology, corresponding to CrAlN and Mo-doped variants CrAlMoN-1, CrAlMoN-2 and CrAlMoN-3, respectively). The effects of Mo incorporation on the microstructure, mechanical properties, and friction-wear performance at both room and high temperature were systematically investigated. Results indicate that Mo dissolves into the CrAlN lattice to form a solid-solution structure, which induces lattice expansion as confirmed by the shift of XRD peaks toward lower angles. Furthermore, a moderate addition of Mo substantially improves the hardness, toughness, and crack propagation resistance of the coatings. All four coatings exhibit friction coefficients of approximately 0.5 at room temperature. However, at 600 °C, the CrAlMoN-2 coating demonstrates a much more stable friction coefficient curve and achieves the lowest average friction coefficient of 0.75, together with a wear rate of 3.94 × 10⁻⁶ mm³/N·m, indicating greatly improved high-temperature tribological performance. Full article

In digital marketplaces, trust in e-commerce platforms has evolved from a protective heuristic into a powerful mechanism of behavioral conditioning. This review interrogates how trust cues such as star ratings, fulfillment badges, and platform reputation shape consumer cognition, systematically displace critical evaluation, and create asymmetries in perceived quality. Drawing on over 47 high-quality studies across experimental, survey, and modeling methodologies, we identify seven interlocking dynamics: (1) cognitive outsourcing via platform trust, (2) reputational arbitrage by low-quality sellers, (3) consumer loyalty despite disappointment, (4) heuristic conditioning through trust signals, (5) trust inflation through ratings saturation, (6) false security masking structural risks, and (7) the shift in consumer trust from brands to platforms. Anchored in dual process theory, this synthesis positions trust not merely as a transactional enabler but as a socio-technical artifact engineered by platforms to guide attention, reduce scrutiny, and manage decision-making at scale. Eventually, platform trust functions as both lubricant and leash: streamlining choice while subtly constraining agency, with profound implications for digital commerce, platform governance, and consumer autonomy. Full article

Ultra-high-performance concrete (UHPC) is a sophisticated construction material known for its exceptional strength and durability. Conventional UHPC generally self-consolidates, which makes it unsuitable for roof and bridge deck rehabilitation applications due to its thin layers and inclined surfaces. UHPC overlay construction generally requires a highly thixotropic material that responds well to vibration and remains stable on slopes. Despite the complex rheological properties of thixotropic UHPC, there are limited testing methods for effectively assessing the workability of overlay mixes. Therefore, this paper provides a comprehensive evaluation of the workability of overlay UHPC using existing and newly developed tests. Besides the commonly used static and dynamic flow tests, this study introduces Patting Response (PR) and Vibration-Slope Stability (VSS) tests, designed to evaluate different qualities of UHPC overlay mixtures. Seven groups of mixtures with varying binder content, water-to-binder ratio (w/b), fiber reinforcement, and admixture dosages were prepared and tested. A lab-scale sloped slab was constructed to validate the buildability of the most promising mixtures. These tests and mixtures support effective overlay solutions for roof slab and bridge deck repairs, providing protection against infrastructure deterioration and improving overall performance by introducing a dense, durable UHPC overlay. Results indicate that mixtures with static flow below 6 in. and dynamic flow between 7 and 8 in. consistently passed both PR and VSS tests, demonstrating stable vibration response and slope retention. The constructability evaluation confirmed the effectiveness of the new testing methods. Additionally, the correlation between different tests, particularly flow and VSS, was examined. Recommendations for appropriate ranges for various workability tests were established based on the performance of the developed mixtures. The proposed static and dynamic flow ranges are performance-based and are expected to be broadly applicable to thixotropic UHPC overlay systems exhibiting comparable workability and rheological behavior under vibration and sloped placement conditions. Overall, these tests and thixotropic UHPC mixtures facilitate effective repair of roof slabs and bridge decks, providing overlay protection against deterioration and potentially enhancing structural capacity through composite behavior. Full article

The critically endangered Asian giant softshell turtle (Pelochelys cantorii) is a national first-class protected aquatic animal in China, and artificial breeding is vital for its conservation. Given the pivotal role of substrate in captive rearing, this study aimed to investigate the effects of different substrate types on the growth, serum biochemistry, and behavior of juvenile P. cantorii. A total of 45 8-month-old juveniles [(121.11 ± 0.65) g] were randomly allocated to three groups (fine sand [FS], pea gravel [PG], and no substrate [NS]) for an 18-day rearing trial. Results indicated that the FS and PG groups exhibited significantly higher weight gain and specific growth rates than the NS group (p < 0.01). Serum malondialdehyde (MDA) levels were lower in the FS and PG groups than in the NS group (p < 0.05), with no significant difference between FS and PG. Notably, three individuals in the NS group exhibited symptoms of skin ulceration. No significant intergroup differences were observed in glucose (GLU), triglyceride (TG), catalase (CAT), superoxide dismutase (SOD), glutathione peroxidase (GSH-Px), or cortisol (CORT) levels (p > 0.05). Behaviorally, the FS group demonstrated the highest hidden rest frequency and duration (p < 0.01) and significantly lower active avoidance behavior compared to PG and NS (p < 0.01). In conclusion, substrate type significantly influences captive juvenile P. cantorii, with fine sand being optimal as it enhances growth, alleviates oxidative stress, and reduces maladaptive behaviors. Full article

The rapid growth of precision agriculture has accelerated the deployment of plant protection unmanned aerial vehicles (UAVs). However, reliable data resources for vision-based intelligent supervision of operational states, such as whether a UAV is currently spraying, remain limited. Most publicly available UAV detection datasets target urban security and surveillance scenarios, where annotations emphasize object localization rather than agricultural operation state recognition, making them insufficient for farmland spraying supervision. Therefore, agricultural-oriented data resources are needed to cover diverse backgrounds and include operation state labels, thereby supporting both academic research and practical deployment. In this study, we construct and release the first multi-background dataset dedicated to agricultural UAV spraying behavior recognition. The dataset contains 9548 high-quality annotated images spanning the following six typical backgrounds: green cropland, bare farmland, orchard, woodland, mountainous terrain, and sky. For each UAV instance, we provide both a bounding box and a binary operation state label, namely spraying and flying without spraying. We further conduct systematic benchmark evaluations of mainstream object detection algorithms on this dataset. The dataset captures agriculture-specific challenges, including a high proportion of small objects, substantial scale variation, motion blur, and complex dynamic backgrounds, and can be used to assess algorithm robustness in real-world agricultural settings. Benchmark results show that YOLOv5n achieves the best overall performance, with an accuracy of 97.86% and an mAP@50 of 98.30%. This dataset provides critical data support for automated supervision of plant protection UAV spraying operations and precision agriculture monitoring platforms. Full article