Search Results (10,720)

Background/Objectives: Human adenovirus 55 (HAdV55) is a notable pathogen causing community-acquired pneumonia; outbreaks occur frequently in military camps, hospitals, and schools, thereby posing a threat to public health security. This study aimed to develop a method for detecting HAdV55 nucleic acid by targeting the conserved region of the Hexon gene. The sequence was amplified using enzymatic recombination isothermal amplification (ERA) technology, in conjunction with CRISPR-Cas12a technology, to enhance the amplification signal. Methods: Optimized primer and crRNA sequences were selected through ERA isothermal amplification testing. The ERA-CRISPR/Cas12a detection method was completed within 30 min at a constant temperature of 42 °C. Results: Sensitivity was assessed by detecting standard plasmids and live strains at various dilution concentrations. The detection limits were determined to be 9 copies/reaction for standard plasmids and 2.5 copies/reaction for cultured HAdV55 strains. Specificity tests were conducted on positive samples for five common respiratory pathogens and five other adenovirus subtypes, all of which showed no cross-reactivity. Conclusions: A rapid ERA-CRISPR/Cas12a nucleic acid detection method for HAdV55 has been successfully developed, demonstrating high sensitivity and specificity without the need for expensive or complex instruments. This method holds promise for on-site pathogen screening and detection. Full article

The external floating roof of a large storage tank directly covers the liquid surface as the liquid level rises and falls, enhancing the tank’s safety and environmental performance. It is fabricated from thin SA516 Gr.70 steel plates, with a carbon equivalent of 0.37% calculated according to AWS standards, using single-sided butt welding. Such plates are susceptible to welding-induced deformations, resulting in irregular warping of the bottom plate. Current research on floating roofs for storage tanks mostly relies on idealized models that assume no deformation, thereby neglecting the actual deformation characteristics of the floating roof structure. To address this, the present study develops an automated modeling approach that reconstructs a three-dimensional floating roof model based on measured deformation data, accurately capturing the initial irregular geometry of the bottom plate. This method employs parametric numerical reconstruction and automatic finite element model generation techniques, enabling efficient creation of the irregular initial deformation caused by welding of the floating roof bottom plate and its automatic integration into the finite element analysis process. It overcomes the inefficiencies, inconsistent accuracy, and challenges associated with traditional manual modeling when conducting large-scale strength analyses under in-service conditions. Based on this research, a strength analysis of the deformed floating roof structure was conducted under in-service conditions, including normal floating, extreme rainfall, and outrigger contact scenarios. An idealized geometric model was also established for comparative analysis. The results indicate that under the normal floating condition, the initial irregular deformation increases the local stress peak of the floating roof bottom plate by 19%, while the maximum positive and negative displacements increase by 22% and 83%, respectively. Under extreme uniform rainfall conditions, it raises the stress peak of the bottom plate by 24%, with maximum positive and negative displacements increasing by 21% and 28%, respectively. Under the extreme non-uniform rainfall condition, it significantly elevates the stress peak of the bottom plate by 227%, and the maximum positive and negative displacements increase by 45% and 47%, respectively. Under the outrigger bottoming condition, it increases the local stress peak of the bottom plate by 25%, with maximum positive and negative displacements remaining similar. The initial irregular deformation not only significantly amplifies the stress and displacement responses of the floating roof bottom plate but also intensifies the deformation response of the top plate through structural stiffness weakening and deformation coupling, thereby reducing the safety margin of the floating roof structure. This study fills the knowledge gap regarding the effect of welding-induced irregular deformation on floating roof performance and provides a validated workflow for automated modeling and mechanical assessment of large-scale welded steel structures. Full article

Perovskite materials have emerged as promising candidates for next-generation photodetectors (PDs) owing to their superior optoelectronic properties and compatibility with low-cost, low-temperature fabrication processes. Broad applicability of PDs spans diverse fields, including X-ray detection, wearable electronics, autonomous vehicles, artificial intelligence, imaging, optical communication, and biomedical sensing, offering advantages over conventional semiconductor PDs based on Si, Ge, InGaAs, and GaN. The integration of plasmonic nanostructures into perovskite-based devices has recently emerged as an effective strategy to enhance performance by amplifying light absorption near the perovskite layer. This review summarizes recent advances and design strategies for plasmonic-integrated perovskite photodetectors (Pe-PDs), with a particular emphasis on plasmonic nanopatterns and nanoparticles as viable approaches for solution-processable Pe-PDs. Full article

This study investigates the dynamic response characteristics of the tunnel bottom structure, focusing on a heavy-haul railway tunnel. To assess the condition of the tunnel bottom, geological radar and drilling core techniques were employed, along with on-site dynamic testing. The dynamic stress and acceleration response characteristics of the tunnel bottom structure, situated in grade V surrounding rock, were analyzed under axle loads of 25 t, 27 t, and 30 t. Both time-domain and frequency-domain analyses were conducted to explore the impact of structural defects on the dynamic response of the tunnel bottom. The results indicate that the dynamic response of the tunnel bottom structure increases linearly with increasing train axle load. In the presence of void-related defects at the tunnel bottom, the dynamic response of the structure is amplified, with an observed growth rate of up to 26.3%. Furthermore, the load exerted by heavy-duty trains on the tunnel bottom structure is predominantly a low-frequency effect, concentrated within the range of 0–20 Hz. Analysis of the 1/3 octave band reveals that the maximum difference in acceleration levels occurs at a center frequency of 31.5 Hz. Additionally, as the distance between the measurement point and the vibration source increases, the dynamic response induced by the void defect on the tunnel bottom structure weakens. Full article

Understanding the coordination between regional carbon sequestration and human activities is essential for achieving ecological sustainability and carbon neutrality. This study explored the spatiotemporal evolution, driving mechanisms, and sustainability of net ecosystem productivity (NEP) and human activity intensity (HAI) in the Zhangjiakou–Chengde (ZC) region of northern China from 2000 to 2023. NEP and HAI were integrated through a coupling coordination framework to assess their dynamic balance and relative development. Results show that the coordination between carbon sinks and human activities has improved continuously over the past two decades, shifting from human-dominated imbalance to a more synergistic pattern. Spatially, higher coordination levels were concentrated in forested mountain areas, while agricultural and transitional zones exhibited instability or lagging development. Land use regulation, vegetation recovery, and terrain conditions were identified as the primary factors shaping this pattern, with interaction effects amplifying spatial disparities. Trend analysis suggests that northeastern and eastern regions will likely sustain their positive trajectories, whereas the agro-pastoral transition belt remains vulnerable. These findings deepen understanding of carbon–human interactions in fragile ecosystems and provide scientific evidence for differentiated land management, ecological restoration, and carbon neutrality planning in northern China and similar regions worldwide. Full article

Studying the luminescent properties and the light amplification capabilities are fundamental investigations for newly synthesized organic compounds intended to act as chromophores. These studies are conducted for compounds in the form of solutions, solids, and also molecules stabilized with the aid of polymers. One of the methods used to study amplification is the generation of amplified spontaneous emission (ASE) using stripe-shaped light beam excitation. This process can lead to the generation of ASE, but also, with the coexistence of microcrystals and scatterers, to the generation of laser action with random feedback, known as random lasing (RL). However, when the degree of light scattering is too high, it can lead to the inhibition of laser emission. Therefore, as an alternative in studying amplification properties, we developed a protocol that allows the investigation of laser action generation using rapidly prototyped polymer waveguides with an embedded dye. The setup used was based on Direct Laser Writing (DLW), which enables the controlled fabrication of multimode optical waveguides. We demonstrated that the use of this technique will allow for the study of the performance of dyes from strictly structured resonators, enabling measurements of gain and lasing threshold. This allowed us to lower the lasing thresholds while maintaining the directionality of emission. Full article

In radio frequency (RF) systems, the mixer is a critical component for achieving frequency conversion in electromagnetic sensor backends. This paper proposes a mixer design methodology aimed at improving noise figure and conversion gain specifically for sensor signal processing applications. This design employs a process incorporating high-quality bipolar junction transistors (BJTs) and adopts a mixer-first architecture instead of a conventional low noise amplifier (LNA). By optimizing the layout and symmetry of the BJTs, the input impedance can be flexibly adjusted, thereby simplifying the receiver front-end while simultaneously improving local oscillator (LO) feedthrough. Design and simulation were completed using Advanced Design System (ADS) 2020 software. Simulation results demonstrate that the proposed mixer exhibits significant advantages in suppressing noise and interference while enhancing conversion gain, making it particularly suitable for electromagnetic sensor backend applications. Full article

This paper presents the development of a 224-channel radio frequency (RF) receiver operating in the 0.6–1.8 GHz band, intended for a wide-field phased array radio telescope. The system employs a cost-effective architecture that combines the flexibility of phased array feeds with the low-cost characteristics of reflector systems, enabling high gain, rapid scanning, and multi-beam observation. The receiver achieves low-noise amplification, dynamic gain control, and filtering through a modular design. The system provides a total gain of 80–85 dB with a noise temperature of less than 35.1 K. Full article

Heat shock protein 70 (HSP70) represents a promising target for cancer therapy. Oncolytic vaccinia virus (oncoVV) mediates tumor regression through direct oncolysis and immune activation. However, the anti-tumor potential of HSP70-silenced oncoVV (oncoVV-shHSP70) remains unexplored. Here, we demonstrate that oncoVV-shHSP70 achieves superior tumor regression in ovarian cancer models (cell lines, immunodeficient mice and humanized mice) via dual mechanisms including enhancing apoptosis, autophagy flux, ROS generation, and immune reprogramming. Notably, we found that oncoVV-shHSP70 triggers an autophagy–ROS feedback loop that amplifies viral replication and pro-inflammatory cytokine expression. Crucially, in humanized mice, oncoVV-shHSP70 induced spatial redistribution of cytotoxic T cells, expanding tumor-infiltrating hCD8⁺hGZMB⁺ populations. These findings position oncoVV-shHSP70 as a promising viro-immunotherapy that co-opts HSP70 silencing to potentiate both direct oncolysis and anti-tumor immunity, providing a preclinical rationale for viro-immunotherapy in solid tumors. Full article

Obesity is characterized by chronic low-grade inflammation that disrupts metabolic homeostasis and increases cardiometabolic risk. The postprandial period, during which individuals spend much of the day, is a critical window when nutrient absorption, lipid metabolism, and immune activation intersect. In obesity, dysfunctional adipose tissue and impaired gut barrier integrity amplify postprandial inflammatory responses through increased translocation of lipopolysaccharides and altered adipokine secretion. These processes converge on signaling pathways such as Toll-like receptor 4/nuclear factor-κB, c-Jun n-terminal kinase, and the NOD-like receptor family pyrin domain-containing protein 3 (NLRP3) inflammasome, leading to insulin resistance, endothelial dysfunction, and atherogenesis. This review synthesizes evidence on the interplay between gut-derived endotoxemia and adipose tissue dysfunction in postprandial inflammation. We further highlight the modulatory roles of dietary fat quality, plant-based dietary patterns, polyphenols, omega-3 fatty acids, dietary fiber, and nuclear receptor activation, particularly through peroxisome proliferator-activated receptors (PPARs). Emerging evidence indicates that nutritional and pharmacological strategies targeting these mechanisms can attenuate postprandial inflammation and improve metabolic outcomes. A combined approach integrating personalized nutrition, functional foods, and therapies targeting PPAR isoforms may represent a promising avenue for mitigating obesity-associated postprandial inflammation and long-term cardiometabolic complications. Full article

With the rapid development of solar thermal power generation technology, the structural stability of the dish solar concentrator system under complex wind environments has become a critical limiting factor for its large-scale application. This study investigates the flow field distribution and structural response under fluctuating wind loads using computational fluid dynamics (CFD). A three-dimensional model was developed and simulated in ANSYS Fluent under varying wind angles and speed cycles. The results indicate that changes in the concentrator’s orientation significantly influence the airflow field, with the most adverse effects observed at low elevation angles (0°) and an azimuth angle of 60°. Short-period wind loads (T = 25 s) exacerbate transient impact effects of lift forces and overturning moments, markedly increasing structural fatigue risks. Long-period winds (T = 50 s) amplify cumulative drag forces and tilting moments (e.g., peak drag of −73.9 kN at β = 0°). Key parameters for wind-resistant design are identified, including critical angles and period-dependent load characteristics. Full article

Object detection in challenging imaging domains like security screening, medical analysis, and satellite imaging is often hindered by signal degradation (e.g., noise, blur) and spatial ambiguity (e.g., occlusion, extreme scale variation). We argue that many standard architectures fail by fusing multi-scale features prematurely, which amplifies noise. This paper introduces the Enhance-Fuse-Align (E-F-A) principle: a new architectural blueprint positing that robust feature enhancement and explicit spatial alignment are necessary preconditions for effective feature fusion. We implement this blueprint in a model named SecureDet, which instantiates each stage: (1) an RFCBAMConv module for feature Enhancement; (2) a BiFPN for weighted Fusion; (3) ECFA and ASFA modules for contextual and spatial Alignment. To validate the E-F-A blueprint, we apply SecureDet to the highly challenging task of X-ray contraband detection. Extensive experiments and ablation studies demonstrate that the mandated E-F-A sequence is critical to performance, significantly outperforming both the baseline and incomplete or improperly ordered architectures. In practice, enhancement is applied prior to fusion to attenuate noise and blur that would otherwise be amplified by cross-scale aggregation, and final alignment corrects mis-registrations to avoid sampling extraneous signals from occluding materials. Full article

Owing to the intrinsic sparsity of GNSS signals in the correlation domain, compressed sensing (CS) is attractive for the rapid acquisition of high-dynamic GNSS signals. However, the compressed measurement-associated noise folding inherently amplifies the pre-measurement noise, leading to an inevitable degradation of acquisition performance. In this paper, a novel CS-based GNSS signal acquisition algorithm is, for the first time, proposed with the efficient suppression of the amplified measurement noise and low computational complexities. The offline developed code phase and frequency bin-compressed matrices in the correlation domain are utilized to obtain a real-time observed matrix, from which the correlation matrix of the GNSS signal is rapidly reconstructed via a denoised back-projection and a non-iterative shrinkage-thresholding (NIST) operation. A detailed theoretical analysis and extensive numerical explorations are undertaken for the algorithm computational complexity, the achievable acquisition performance, and the algorithm performance robustness to various Doppler frequencies. It is shown that, compared with the classic orthogonal matching pursuit (OMP) reconstruction, the NIST reconstruction gives rise to a 3.3 dB improvement in detection sensitivity with a computational complexity increase of <10%. Moreover, the NIST-reconstructed CS acquisition algorithm outperforms the conventional CS acquisition algorithm with frequency serial search (FSS) in terms of both the acquisition performance and the computational complexity. In addition, a variation in the detection sensitivity is observed as low as 1.3 dB over a Doppler frequency range from 100 kHz to 200 kHz. Full article

In this study, the long-term (1961–2020) values of the summertime station-based surface air temperature (SAT) data at 151 qualified stations, alongside the corresponding ERA5 gridded data, were analyzed to investigate climate change over the Middle East and the west Indian subcontinent. Significant positive (negative) trends were observed at 134 (2) stations, while trends were insignificant at 15 stations. The positive (negative and insignificant) trends were mainly concentrated in the interior highlands (monsoon-dominated lowlands), where ERA5 exhibited from 10% to 70% overestimations (5% to 26% underestimations). These ERA5-related biases exhibited strong correlations with elevation. To assess the trends’ disparity reasons, we first showed that the outputs of SAT_+AMO − SAT_−AMO are highly positive (negative or near zero) over the overestimated (underestimated) regions. The study then demonstrated that cloudiness, atmospheric circulation, specific humidity, and convective activities above the monsoon-dominated areas differ between +AMO and −AMO. For these areas, the enhanced +AMO-related cloudiness suppresses positive SAT anomalies, while the increased −AMO-associated sunshine offsets negative SAT anomalies. Contrarily, for some areas such as northern Iran, the +AMO (−AMO)-associated cloudiness or clear sky can affect climate change by amplifying the warmness or coldness. In addition, +AMO (−AMO) has caused further convective activities over the Arabian Sea (Bengal Bay). Full article

The European Union’s commitment to achieving climate neutrality by 2050 requires sustainable economic models that address both environmental degradation and energy security. While renewable energy technologies are recognized solutions to climate change, the relationship between circular economy principles and clean energy transition remains underexplored empirically. This study investigates the asymmetric relationship between circular economy implementation and clean energy development across 27 EU economies from 2010–2023. Using Method of Moments Quantile Regression to capture distributional heterogeneity, we reveal pronounced asymmetric effects of circular economy shocks on clean energy adoption. Positive circular economy shocks demonstrate amplified benefits in high-performing clean energy economies, with elasticity coefficients increasing across quantiles, indicating that nations with established renewable infrastructure optimally capitalize on circular economy improvements through synergistic effects. Conversely, negative shocks manifest heterogeneous impacts: lower-performing countries experience significant clean energy contractions, while advanced economies exhibit resilience, suggesting adaptive mechanisms that enable resource reallocation toward alternative sustainability pathways. These findings provide policymakers with an analytical foundation for optimizing circular economy strategies to accelerate EU climate-neutrality objectives while accounting for heterogeneous national circumstances and transition pathways. Full article