Search Results (255)

The proliferation of Internet of Things (IoT) deployments demands Authentication and Key Agreement (AKA) protocols that scale from one initiator to many devices while preserving strong security guarantees on constrained hardware. Prior lightweight one-to-many designs often rely on a network-wide secret, reuse a single group session key across devices, or omit Perfect Forward Secrecy (PFS), leaving systems vulnerable to compromise and traffic exposure. To this end, we present in this paper a lightweight protocol, named Lightweight One-To-many User-to-Sensors Authentication and Key Agreement (LOTUS-AKA), that achieves mutual authentication, PFS, and per-sensor key isolation while keeping devices free of public-key costs. The user and gateway perform an ephemeral elliptic-curve Diffie–Hellman exchange to derive a short-lived group key, from which independent per-sensor session keys are expanded via Hashed Message Authentication Code HMAC-based Key Derivation Function (HKDF). Each sensor receives its key through a compact Authenticated Encryption with associated data (AEAD) wrap under its long-term secret; sensors perform only hashing and AEAD, with no elliptic-curve operations. The login path uses an augmented Password-Authenticated Key Exchange (PAKE) to eliminate offline password guessing in the smart-card theft setting, and a stateless cookie gates expensive work to mitigate denial-of-service. We provide a game-based security argument and a symbolic verification model, and we report microbenchmarks on Cortex-M–class platforms showing reduced device computation and linear low-constant communication overhead with the number of sensors. The design offers a practical path to secure, scalable multi-sensor sessions in resource-constrained IoT. Full article

Tick-borne viruses (TBVs) pose significant public health and economic threats. Pakistan has endemic Crimean-Congo hemorrhagic fever virus (CCHFV), but evidence suggests broader TBV circulation. This study assessed the seroprevalence of thirteen TBVs (seven are members of the genus Orthonairovirus and six are members of the genus Bandavirus) in humans, livestock, and rats in Punjab, Pakistan. Serum samples (n = 794: 321 livestock, 253 human, and 220 rat) were collected from the Narowal, Lahore, and Faisalabad districts. Antibodies to viral NPs were detected using the luciferase immunoprecipitation system (LIPS). The overall seroprevalence was 19.14% (152/794); it was highest in livestock (27.10%), then humans (20.55%), and then rats (5.91%). The highest seroprevalence rates were 3.12% for CCHFV in livestock, 3.56% for Yezo virus (YEZV) in humans, and 0.91% for Tamdy virus (TAMV) and Tacheng tick virus 1 (TcTV-1) in rats. Neutralizing antibodies were detected against CCHFV (1 cattle, 4 humans), Bhanja virus (BHAV) (3 livestock, 1 rat), TAMV (1 cattle), Guertu virus (GTV) (1 cattle), and Dabie bandavirus (2 cattle). Sixteen samples showed antibodies to both orthonairoviruses and bandaviruses, indicating co-exposure. Further analysis showed that seropositivity was not randomly distributed. Livestock kept in commercial farming systems and people working mainly outdoors had distinctly higher exposure to TBVs than subsistence livestock and indoor workers. The results supported the circulation of TBVs among hosts within the close socio-economic/ecological integration area of Pakistan. These findings confirm the circulation of CCHFV, SFTSV, GTV, and TAMV; provide the first serologic evidence of BHAV in Pakistan; and underscore the need for further investigation into the potential circulation of additional TBVs. All results demonstrated that multiple TBVs have been circulating among humans, livestock, and rodents in Pakistan. Full article

Microorganism employs sophisticated strategies to adapt to acidic environments, with transcription factors occupying pivotal nodes within their hierarchical regulatory networks. In this study, we performed functional characterization of the AraR transcription factor LP_RS14895 via integrated multiomics approaches. RNA sequencing revealed 40 acid-responsive targets that were enriched in pathways related to pentose/glucuronate interconversions and amino sugar and nucleotide sugar metabolism. A genome-wide binding analysis via DAP-seq identified 1279 interaction sites and the most significantly enriched motif is “ARCCMATMAHC”. The results revealed that AraR plays a crucial role in regulating acid tolerance and metabolizable sugar (including arabinose, glucose, fructose, ribose, mannose, and trehalose). Overall, these findings offer mechanistic insights into microbial stress responses and provide a valuable method for addressing inhibitory processes of carbohydrate metabolizability under high-acid conditions. Full article

The article presents the results of experimental studies of the velocity of liquid droplets in a chain under the action of centrifugal forces in a uniformly rotating liquid continuous phase. The aim of the work is to study the mutual influence of droplets on each other through the analysis of entrainment, simplified to plane motion. An experimental setup was developed based on a cylindrical vessel with adjustable angular velocity, a droplet-forming device, and stroboscopic photography to record trajectories. The methodology includes phase saturation, adjustment of the dispersed phase flow rate, and two shooting modes to minimize errors. The dependencies of the satellite trail velocity ($V_{sp}$) on the radial distance (R) and the drop frequency (f) were obtained for three liquid systems; based on regression analysis, a generalized formula $V_{sp}=k·R^a·f^b$ was proposed, providing satisfactory agreement between the calculated and experimental data (deviation < 10%). The results confirm the increase in $V_{sp}$ with increasing R and f, which allows optimizing the extraction and mass transfer processes in centrifugal devices. Full article

Shield tunneling beneath existing railways remains a critical challenge in urban infrastructure development, as it risks destabilizing overlying soil structures and compromising railway safety. This study presents an integrated methodology combining physical model tests and three-dimensional numerical simulation, validated by their mutual agreement, to capture the settlement and deformation induced by twin shield tunneling beneath an operational railway under the complex geological conditions of the Qingdao Metro. A parametric study was subsequently conducted to systematically evaluate the influence of critical construction parameters, including grouting pressure, grout stiffness, and chamber pressure, on railhead settlement. Additionally, a comparative analysis assessed the effectiveness of settlement control measures, including D-type beam reinforcement, deep-hole grouting reinforcement, and their combined application. Results show that railhead deformation primarily manifests as settlement, with cumulative effects from sequential tunneling of the left and right lines. Proximity to fault zones intensifies crown subsidence, while tunneling induces significant soil stress relaxation, particularly in geologically weaker strata. Within optimal ranges, increased grouting pressure, chamber pressure, and grout stiffness effectively reduce railhead settlement; however, their efficacy diminishes beyond specific thresholds. The combined D-type beam and deep-hole grouting reinforcement scheme proved most effective in controlling settlement, ensuring railway operational safety and construction stability. These findings provide essential theoretical and practical guidance for optimizing shield tunneling strategies in complex urban environments, enhancing the safety and reliability of critical railway infrastructure. Full article

Early-age cracking remains a major durability challenge for concrete. It is primarily caused by internal restraint stresses induced by humidity and temperature gradients during hydration. Conventional approaches often fail to capture the coupled and non-uniform nature of heat and moisture transport, limiting their ability to predict cracking risk and evaluate mitigation strategies. To address this limitation, we characterize the spatiotemporal evolution of internal humidity and temperature using a spatial coefficient of variation. From a numerical standpoint, the influence of polypropylene fibers (PPFs) on internal relative humidity is elucidated by adopting an unconditionally stable backward-Euler finite-difference scheme to resolve multiple coupled physicochemical processes—hydration, heat release, self-desiccation, heat and moisture diffusion to the environment—and their mutual interactions. Furthermore, a one-dimensional homogeneous random-field model is proposed to quantify the spatial non-uniformity of humidity in PPF concrete. On this basis, the effects of polypropylene fibers (PPFs) in mitigating internal humidity is quantitatively revealed. Good agreement is achieved between simulations and tests, with standard deviations of 0.0119 for normal concrete and 0.0041 for PPF concrete, thereby validating the model’s predictive capability for the spatiotemporal distribution of internal relative humidity (RH) in PPF concrete. According to the numerical analysis, owing to the moisture-sorption characteristics of PPFs, at a depth of 25 mm, the internal RH in PPF concrete has decreased by 16% at 28 days, whereas normal concrete exhibits a 28% decrease. With increasing depth, the RH reduction at 28 days is approximately 13% for both PPF concrete and plain concrete, and the time-dependent evolution of RH in PPF concrete is broadly similar to that of normal concrete. Furthermore, the mitigating influence of PPFs decreases with hydration age and distance from the surface, reflecting the gradual decline of diffusion heterogeneity over time and depth. These findings provide new numerical evidence for the effectiveness of PPFs in reducing the early-age cracking risk in concrete. Full article

Rankings drive consequential decisions in science, sports, medicine, and business. Conventional evaluation methods typically analyze rank concordance, dispersion, and extremeness in isolation, inviting biased inference when these properties co-move. We introduce the Concordance–Dispersion–Extremeness Framework (CDEF), a copula-based audit that treats dependence among these properties as the object of interest. The CDEF automatically detects forced versus non-forced ranking regimes, then screens dispersion mechanics via ${\chi }^2$ tests that distinguish independent multinomial structures from without-replacement structures and, for forced dependent data, compares Mallows structures against appropriate baselines. The framework estimates upper-tail agreement between raters by fitting pairwise Gumbel copulas to mid-rank pseudo-observations, summarizing tail co-movement alongside Kendall’s W and mutual information, then reports likelihood-based summaries and decision rules that distinguish genuine from phantom agreement. Applied to pre-season college football rankings, the CDEF reinterprets apparently high concordance by revealing heterogeneity in pairwise tail dependence and dispersion patterns that inflate agreement under univariate analyses. In simulation, traditional Kendall’s W fails to distinguish scenarios, whereas the CDEF clearly separates Phantom from Genuine and Clustered agreement settings, clarifying when agreement stems from shared tail dependence rather than stable consensus. Rather than claiming probabilities from a monolithic trivariate model, the CDEF provides a transparent, regime-aware diagnosis that improves reliability assessment, surfaces bias, and supports sound decisions in settings where rankings carry real stakes. Full article

The COVID-19 pandemic demonstrated both the transformative capacity of vaccine innovation and the persistent inequities that accompany emergency access, underscoring the critical need for stronger collaboration between global health governance and the vaccine industry. Influenza pandemics remain inevitable threats. The continued emergence of avian influenza strains such as H5N1 reinforces the necessity of robust preparedness. This perspective examines the underutilization of private sector vaccine manufacturers in current pandemic influenza frameworks and identifies three central areas where industry participation is indispensable: predictable vaccine demand through robust seasonal influenza programs, economic incentives that de-risk investments in research and development, and diversification of vaccine platforms to expand response capacity. In addition, regionalizing manufacturing, advancing collaborative regulatory models, and negotiating export waivers are presented as potential mechanisms to strengthen equity and supply security. The review highlights demand-based tiered pricing and Advance Purchase Agreements as practical tools to align commercial incentives with public health priorities. Furthermore, it makes the case for embedding private sector representation and knowledge into top-level decision-making and preparedness planning, ensuring investment in innovation is aligned with global health objectives. Ultimately, true pandemic influenza readiness depends on building a sustained seasonal influenza market, embedding private sector engagement into governance structures, and fostering mutual trust to ensure timely access and equitable protection for populations worldwide. Full article

This paper presents an intelligent design framework for a high-performance 26 GHz MIMO antenna array tailored to 5G applications, built upon a compact single-element patch. The 11.5 mm × 11.5 mm × 1.6 mm microstrip patch on FR4 exhibits near-unity electrical length, an ultra-deep return loss (S11 < −40 dB at 26 GHz), and a wide operational bandwidth from 24.4 to 31.2 GHz (6.8 GHz, ~26.2%). A two-element array, spaced at λ/2, is first augmented with a inspired metamaterial (MTM) unit cell whose dimensions are optimized via a Multi-Layer Perceptron (MLP) model to maximize gain (+2 dB) while preserving S11. In the second phase, a closed-square parasitic ring is introduced between the elements; its side length, thickness, and position are predicted by a Random Forest (RF) model with Bayesian optimization to minimize mutual coupling (S12) from −25 dB to −58 dB at 26 GHz without significantly degrading S11 (remains below −25 dB). Full-wave simulations and anechoic chamber measurements confirm the ML predictions. The close agreement among predicted, simulated, and measured S-parameters validates the efficacy of the proposed AI-assisted optimization methodology, offering a rapid and reliable route to next-generation millimeter-wave MIMO antenna systems. Full article

Background: The early development of children’s eating behaviors is a complex process shaped by dynamic interactions within the family system. While extensive research has focused on parental feeding practices as a primary predictor of children’s eating behaviors, the role of intergenerational coparenting dynamics (especially with involved grandparents) is less studied. This study aimed to examines how primary caregivers’ feeding behaviors mediate the relationship between parent–grandparent coparenting dynamics and children’s eating behaviors. Methods: We conducted a longitudinal study among 343 stem families with preschool children. The cross-lagged analysis was applied to examine: the mechanism of parent–grandparent coparenting relationships on preschool children’s eating behaviors and the bidirectional relationship between feeding behaviors and eating behaviors. Results: Our results revealed that coparenting agreement significantly and negatively predicted satiety responsiveness through the mediating role of parental encouragement of healthy eating (β = −0.012, 95% CI [−0.022, −0.001]). Similarly, coparenting support had a significant negatively indirect effect on satiety responsiveness, also partially mediated by parental encouragement of healthy eating (β = −0.012, 95% CI [−0.023, −0.002]). The association between coparenting undermining and satiety responsiveness was mediated by parental encouragement healthy eating (β = −0.612, 95% CI [−0.796, −0.429]). Mutual predictive relationships were observed between preschool children’s satiety responsiveness and parental encouragement of healthy eating (p < 0.05). Conclusions: The study results highlighted the critical role of parent–grandparent coparenting relationships as indirect predictors of preschoolers’ eating behavior through mediator of parental feeding behaviors. Importantly, healthcare providers may be able to offer anticipatory guidance or relevant healthy eating resources to parents and grandparents, who should be recognized as important stakeholders in promoting healthy eating among children. Full article

We investigated synchronization behavior using an experimental setup consisting of two metronomes placed on a platform floating over water. By setting the metronomes to oscillate perpendicular to the line between them, we observed three distinct modes of movement: in-phase synchronization, anti-phase synchronization, and synchronization with a fixed phase difference. While this last mode resembles phase-locking, it is important to distinguish that phase-locking typically refers to an oscillator’s response to external pacing, whereas the fixed phase difference observed in our study emerges from the mutual interaction between two metronomes. The frequencies of oscillations, and the placement of the metronomes are also changed to check the reliability of the new phenomenon. Even if we changed the material of the platform to a heavier one or turned around one of the metronomes, synchronization with a fixed time delay still was still observed. Drawing on previous research, we developed mathematical equations to model the coupled metronomes and performed numerical simulations that successfully reproduced all three observed phenomena. The simulation results showed excellent agreement with our experimental observations. These findings contribute to our understanding of coupled oscillators and may have potential applications in various fields. Full article

In the present study, a recently developed improved Self-Adaptive Turbulence Eddy Simulation (SATES) turbulence model (marked as SATES-Mixed), is validated for the simulation of complex multiple swirling turbulent flows. The new SATES-Mixed method aims to enhance both the performances in the wall region as well as the free shear layer region. For comparisons, the Large Eddy Simulation (LES) with WALE and Smagorinsky sub-grid model is also conducted with the same numerical setups. Compared with the original widely used SATES model, the SATES-Mixed model inherits the low grid sensitivity and high accuracy for free turbulence while improving the calculation accuracy in the near-wall regions. Therefore, the prediction ability of the SATES-Mixed model is validated in challenging complex swirling flows encountered in multi-stage swirl combustion chambers. Good overall agreement between SATES-Mixed and experiments is observed with relatively coarse mesh, which is even better than the LES-WALE results. The SATES-Mixed model accurately captures the typical single-vortex tube PVC evolution characteristics in a double swirling combustor (GTMC) and effectively models the complex interactions between single/double vortex tubes in a three-stage swirling combustor, including their intertwined twisting motions and mutually evolving processes. Full article

Most research studies have investigated the impact of pet ownership on the mental and physical well-being of elderly populations, supporting the beneficial effect that pets have on their owners. However, few researchers focused on the well-being of both owner and pet. The present study aimed to explore the well-being of pets owned by elderly individuals using an owner assessment tool and the relationship between elderly characteristics and the pet’s health-related quality of life based on the owner’s assessment of their pet’s well-being. Sixty elderly pet owners who made regular visits to veterinary clinics were selected to complete an electronic questionnaire about their pet’s health-related quality of life. The results identified a high agreement percentage on positive indicators related to the pet’s well-being such as “My pet wants to play and My pet responds to my presence” in the happiness domain, “My pet has more good days than bad days” in mental status, “My pet moves normally” in physical status and “My pet keeps him/herself clean” in hygiene which also resulted in a positive relationship with elderly age. Marital status influenced their responses to “My pet responds to my presence and My pet is as active as he/she has been”. The results also support the use of the applied questionnaire to help identify variables that contribute to a pet’s health-related quality of life. The correlation matrix revealed statistically significant positive associations (p < 0.001) among positively phrased items across all domains, as well as among negatively phrased items. These consistent alignments between direct and between reversed items suggest directional coherence and help mitigate potential response bias. Furthermore, the replication of these patterns across multiple domains reinforces the interpretation that the instrument captures a unified construct of pet well-being, In conclusion, based on subjective evaluation of pet-owner relationships, the ownership of pets by elderly individuals could be mutually beneficial to both elderly owners and their pets. Full article

A hydrodynamic homogeneous model has been developed for the motion of mutually impenetrable viscoelastic non-Newtonian fluids taking into account surface tension forces. Based on this model, numerical simulations of cytokinesis hydrodynamics were performed. The cytoplasm is considered a non-Newtonian viscoelastic fluid. The model allows for the calculation of the formation and rupture of the intercellular bridge. Results from an analytical analysis shed light on the influence of the viscoelastic fluid’s relaxation time on cytokinesis dynamics. A comparison of numerical simulation results and experimental data showed satisfactory agreement. Full article

Automated document processing and circulation systems face critical challenges in achieving reliable retrieval accuracy and robust classification performance, particularly in security-critical organizational environments. Traditional approaches suffer from fundamental limitations, including fixed fusion strategies in hybrid retrieval systems, inability to model inter-document relationships in classification tasks, and lack of confidence estimation for result reliability. This paper introduces AttenFlow, a novel context-aware architecture that revolutionizes document management through two core technical innovations. First, we propose the retriever consensus confidence fusion (RCCF) method, which addresses the limitations of conventional hybrid retrieval approaches by introducing consensus-based fusion strategies that dynamically adapt to retriever agreement levels while providing confidence estimates for results. RCCF measures the consensus between different retrievers through sophisticated ranking and scoring consistency metrics, enabling adaptive weight assignment that amplifies high-consensus results while adopting conservative approaches for uncertain cases. Second, we develop adversarial mutual-attention hybrid-dimensional graph attention network (AM-HDGAT) for text, which transforms document classification by modeling inter-document relationships through graph structures while integrating high-dimensional semantic features and low-dimensional statistical features through mutual-attention mechanisms. The approach incorporates adversarial training to enhance robustness against potential security threats, making it particularly suitable for critical document processing applications. Comprehensive experimental evaluation across multiple benchmark datasets demonstrates the substantial effectiveness of our innovations. RCCF achieves improvements of up to 16.9% in retrieval performance metrics compared to traditional fusion methods while providing reliable confidence estimates. AM-HDGAT for text demonstrates superior classification performance with an average F1-score improvement of 2.23% compared to state-of-the-art methods, maintaining 82.4% performance retention under adversarial attack scenarios. Real-world deployment validation shows a 34.5% reduction in manual processing time and 95.7% user satisfaction scores, establishing AttenFlow as a significant advancement in intelligent document management technology. Full article