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This paper presents an Substrate Integrated Waveguide (SIW) cavity-backed symmetric dual-beam self-diplexing slot antenna for short-distance multiuser point-to-point communications using mm-wave frequency bands. The antenna is fed by two capacitive-gap-coupled microstrip lines, which help the antenna to operate at two different frequency bands with a self-diplexing property. Independent frequency tunability at both the operating bands can be achieved by varying the capacitive gap position along the microstrip feed lines. To enhance port isolation and achieve dual-beam characteristics the design incorporates an L-shape folded slots, centrally located shorting via, W-slot, corrugated microstrip structures and mender line slot. The beams are directed at ± $\theta = \pm 43^\circ$ with a half-power beam width of 56∘ each. The antenna offers peak realized gains of 5.95 and 6.21 dBi at the lower and upper band, respectively. The antenna is fabricated and measured, which shows a good agreement between simulation and measurement, confirming its suitability for short-distance multiuser point-to-point communications
We studied the spectral analysis of X-ray emission spectroscopy for lithium-ion battery materials during the disproportionation reaction driven by heat treatment. To improve the quantitative analysis of chemical states, we consider the contribution of unstable chemical states in the peak deconvolution. We first applied a linear combination fitting (LCF) to the residuals, assuming an asymmetric Lorentzian peak, which was obtained for the unstable chemical component. Since LCF requires a set of known spectra for peak deconvolution, we develop the LCF for spectral analysis, including unknown chemical states. Both quantification results show a similar trend in the temperature dependence of the heat treatment. With the latter method, we can quantify the samples, including unknown chemical compounds, even when that compound does not have a known X-ray emission spectrum.
This paper explores Italy’s perspective on West Germany’s evolving role in Europe in the 1970s, focusing on the interplay between leadership expectations and the fear of hegemony. In the context of the collapse of the Bretton Woods System, the oil crisis and transatlantic tensions, Italy viewed West Germany as both a potential leader and a dominant economic power. By examining political and public debates, this study delves into Italy’s complex ambivalence towards German leadership – admiring its economic strength while simultaneously fearing its influence over European integration and monetary policy – in a way that demonstrates a nuanced Italian reaction to German ‘reluctance’. The rejection of Germany’s hegemonic role was closely tied to an expectation of leadership. However, this expectation conflicted with the type of leadership Germany offered, revealing a sharp contrast between Italian and German conceptions of leadership.
Members of the International Centre for Diffraction Data, the world center for quality diffraction and related data, met 10–14 March 2025 for their Annual Spring Meetings. The event was held as a hybrid meeting, with many members traveling to ICDD Headquarters in Newtown Square, PA, USA, while others attended through the Zoom platform.
The sharing economy has expanded rapidly, reshaping consumption, labor, and service delivery across sectors. While much research highlights its benefits, critical perspectives on its limitations remain fragmented. This study addresses that gap through a systematic literature review, identifying and categorizing the main drawbacks of the sharing economy across five dimensions: social, legal, technological, economic, and environmental. By synthesizing these critiques into a cohesive framework, the study offers a more comprehensive understanding of the structural challenges associated with sharing economy platforms. It draws on interdisciplinary perspectives to highlight issues such as platform power asymmetries, regulatory gaps, and labor precarity – concerns that have intensified in the wake of the COVID-19 pandemic. The paper contributes to theory by integrating insights across academic domains and to practice by offering targeted recommendations for policymakers and managers. These include differentiated regulation and improved governance strategies to support fairer, more sustainable platform models.
The goal of this study was to unpack processes that may lead to child emotional insecurity. Guided by the emotional security theory (EST/EST-R), we examined the mediational role of parental depressive symptomology between interparental conflict (IPC), both constructive and destructive, and child emotional insecurity at age 36-months. We partitioned unique variance of IPC from shared using an extension of the common fate model. We used two-wave data from the Building Strong Families project, which consisted of racially diverse couples/parents (N = 4,424) who were low income and unmarried at the conception of their child. We found gendered differences for how mothers and fathers experience IPC, with mothers more influenced by their relational circumstances. We also found that fathers were vulnerable to experiencing depressive symptoms following aspects of destructive IPC. Consistent with EST-R, constructive IPC did not promote emotional security in children. Rather, both destructive and constructive IPC related to greater levels of emotional insecurity, with destructive IPC showing stronger effects. Proposed mediation was found for fathers only. Our findings may appeal to scholars who focus on untangling the complexity of IPC and intervention specialists and clinicians interested in a process-oriented approaches to the development of child psychopathology.
Italy has often been implicitly or explicitly excluded from comparative political analyses due to its allegedly anomalous political arrangements and outcomes, but in more recent years, some of its once unusual experiences have come to seem as predictors of things to come in other countries. This contribution takes a closer look at such developments, starting with a consideration of the substantive differences between outliers and anomalies. It then presents and gives examples of four scenarios whereby changes might – or might not – have led Italy to converge with its neighbors. In sum, this essay contends that rather than viewing Italy as sui generis, it is fruitful to consider Italy and Italian politics as a kind of laboratory that not only incorporates all the basic elements of political dynamics but in which many relevant tendencies of current and prospective political and policy dynamics can be discerned.
We investigate geometric properties of invariant spatio-temporal random fields $X\colon\mathbb M^d\times \mathbb R\to \mathbb R$ defined on a compact two-point homogeneous space $\mathbb M^d$ in any dimension $d\ge 2$, and evolving over time. In particular, we focus on chi-squared-distributed random fields, and study the large-time behavior (as $T\to +\infty$) of the average on [0,T] of the volume of the excursion set on the manifold, i.e. of $\lbrace X(\cdot, t)\ge u\rbrace$ (for any $u >0$). The Fourier components of X may have short or long memory in time, i.e. integrable or non-integrable temporal covariance functions. Our argument follows the approach developed in Marinucci et al. (2021) and allows us to extend their results for invariant spatio-temporal Gaussian fields on the two-dimensional unit sphere to the case of chi-squared distributed fields on two-point homogeneous spaces in any dimension. We find that both the asymptotic variance and limiting distribution, as $T\to +\infty$, of the average empirical volume turn out to be non-universal, depending on the memory parameters of the field X.
In this work, a wideband filtering antenna based on substrate integrated waveguide (SIW) cavities is proposed. The SIW cavities with zigzag topology excite multiple modes to increase the potential filtering bandwidth. The radiation slot etched on the cavity merges the resonant modes into a single frequency band, thereby enabling directional broadband radiation. Moreover, two supplementary slots are introduced to facilitate wideband impedance matching without increasing the overall size. Furthermore, both the cavities and the slots work together to create three radiation nulls, improving the filtering performance. The proposed SIW slot filtering antenna achieves good frequency selectivity and meets the increasing demand for wideband and integration of multifunctional devices. To validate the design, a prototype antenna was fabricated and tested. The measured results show that the prototype has an operating bandwidth of 10.1% at the center frequency of 11.16 GHz. The peak gain within the passband is 6.19 dBi, and the out-of-band radiation rejection level is better than 20 dB.
In this paper, an intricate autopilot architecture is built for a highly nonlinear aircraft. The mode control of the autopilot is illustrated with state transition diagram. The fundamental concept of this architecture is a model-free design, which means that aerodynamic derivatives and model linearisation are not required. However, only the dynamic control allocation (CA) technique involves the use of derivatives for aerodynamic control. With the use of the Incremental Nonlinear Dynamic Inversion (INDI) in this framework, reduced dependency on models can be achieved. The algorithm addresses system nonlinearities. Our study simulates the approach, and the typical terminal arrival phase of the flight. For lateral navigation, a line-of-sight (LOS) based guidance approach is employed. The principle of the LOS is look ahead-based steering and, mainly the cross-track error is primarily used in the literature. The cross-track error is not the only error for establishing the predefined path. The error between the aircraft heading and the path course is required to describe how fast heading change occurs to re-establish the path again. This proposed modified LOS improves not only the path following ability, but also fault tolerance during aileron or rudder malfunctions. In addition, control surface lock-in-place failures, right/left engine flames-out, and turbulence/wind cases are studied. The objective is a safe approach without reconfiguration. The effectiveness of the proposed control architecture is demonstrated with numerical simulations for the NASA Generic Transport Model (GTM) T-2.
Over the last two decades, since scholarly writing on India witnessed an “urban turn,” numerous historians have analyzed the role of the improvement trust in the redevelopment of Indian cities in the twentieth century, most specifically those of Bombay, Calcutta, and Delhi. This paper revisits and reassesses some of their key arguments to suggest that rather than studying the “failures” of the individual trusts to foster sanitary built environments, we should pay attention to the contingent workings of the city trusts that were constitutively designed for such failures. Using a comparative analysis of the Bombay and Calcutta improvement trusts, this paper offers a retelling of the history of twentieth-century Indian urbanism through the inauguration of an “improvement regime.” It posits that a structural analysis of the trust’s legal and financial framework opens innovative ways of reading “improvement” as a new, twentieth-century language, technology, and rationality of urban governance. The improvement trust devised the art of spatiotemporal management to secure the city’s built environment—rather than its residents—against future uncertainties. The paper takes us through various episodes in the career of the improvement trust—its introduction of technocratic rule, partnership with private investors, speculation in the urban land market, and finally emergence as the city’s leading rentier—in short, the “new developments” that we associate with neoliberal urbanism today. Rather than mapping these developments as neoliberal inventions, this paper invites readers to view them as the slow and (dis)continuous unraveling of a century-old improvement regime.
Despite over 50 years of advocacy and policymaking toward deinstitutionalization, residential institutions for people labelled with intellectual and developmental disabilities (IDD) remain operational in six Canadian provinces. In addition, the lack of public, community-based housing has led to contemporary housing models that represent the re- or trans-institutionalization of labelled people. This article asks: why does the institutionalization of people labelled with IDD still occur in Canada? We argue that institutionalization is propelled by a policy legacy of systemic ableism that is manifested in three pervasive logics, which “haunt” the public provision of IDD housing: exclusion, elimination, and extraction. Empirical support is drawn from textual analysis and interviews with policymakers, advocates and people labelled with IDD in two Canadian provinces (Ontario and Nova Scotia). We conclude by discussing the interrelation of institutionalization and systemic ableism and presenting implications for counteracting ableism in Canadian IDD housing policy.
Maintaining high-complexity aircraft requires resilient and data-driven maintenance planning. This article presents the efficient task allocation and packing problem solver (ETTAPS), a novel framework that integrates predictive analytics and optimisation models to generate adaptive maintenance schedules. ETTAPS employs a trial-and-error approach to optimise maintenance intervals, leveraging a branch-and-cut solver combined with first-fit decreasing (FFD) task grouping to minimise costs and enhance aircraft availability. Additionally, a random forest model, retrained using a rolling 24-month data window, continuously refines predictions, leading to progressive cost reductions and improved system reliability over multiple maintenance cycles. Our results demonstrate that ETTAPS significantly reduces maintenance costs and increases aircraft availability by efficiently grouping tasks and incorporating real-world constraints, such as mechanic skill levels, task dependencies and resource limitations. The framework addresses key gaps in MSG-3 and certification analysis, improving task scheduling efficiency and ensuring long-term operational resilience. Furthermore, ETTAPS lays the groundwork for integration with digital twins, real-time anomaly detection and flight planning systems, supporting a more intelligent and proactive approach to aircraft maintenance. This research advances resilience and sustainable aviation maintenance planning by optimising costs, reducing downtime and proactively adapting to operational demands. By aligning with Industry 4.0 and aviation sustainability goals for 2050, ETTAPS contributes to the next generation of intelligent maintenance systems.
The settling of highly elastic non-Brownian closed fibres (called loops) under gravity in a viscous fluid is investigated numerically. The loops are represented using a bead–spring model with harmonic bending potential and finitely extensible nonlinear elastic stretching potential. Numerical solutions to the Stokes equations are obtained with the use of HYDROMULTIPOLE numerical codes, which are based on the multipole method corrected for lubrication to calculate hydrodynamic interactions between spherical particles with high precision. Depending on the elasto-gravitation number $B$, a ratio of gravitation to bending forces, the loop approaches different attracting dynamical modes, as described by Gruziel-Słomka et al. (2019 Soft Matt.15, 7262–7274) with the use of the Rotne–Prager mobility of the elastic loop made of beads. Here, using a more precise method, we find and characterise a new mode, analyse typical time scales, velocities and orientations of all the modes, compare them and investigate their coexistence. We analyse numerically the transitions (bifurcations) to a different mode at certain critical values of the elasto-gravitation number.
Using US quarterly data (1967–2023), including inflation’s post-pandemic surge and decline alongside monetary policies characterized by quantitative easing before refocusing on the 2% target, we utilize traditional and novel econometric tools to assess the stability of key macroeconomic variables’ responses to monetary shocks. Our findings confirm the relevance of a broad Divisia aggregate in understanding monetary policy transmission and highlight its empirical importance in explaining output and price dynamics across decades. Time-varying impulse response functions (IRFs) reveal consistent and puzzle-free price responses to Divisia-based monetary shocks throughout the sample, aligning with theory. Time-varying IRFs indicate that pandemic-related outliers in GDP (2020Q2) do not disrupt results. In contrast, Fed Funds rate or shadow policy interest rate shocks often yield puzzling outcomes across earlier and extended periods.
The fall armyworm, Spodoptera frugiperda (J. E. Smith) (Lepidoptera: Noctuidae), is a highly destructive polyvorous pest with a wide host range and the ability to feed continuously with seasonal changes. This destructive pest significantly damages crops and can also utilize non-agricultural plants, such as weeds, as alternative hosts. However, the adaptation mechanisms of S. frugiperda when switching between crop and non-crop hosts remain poorly understood, posing challenges for effective monitoring and integrated pest management strategies. Therefore, this study aims to elucidate the adaptability of S. frugiperda to different host plants. Results showed that corn (Zea mays L.) was more suitable for the growth and development of S. frugiperda than wheat (Triticum aestivum L.) and goosegrass (Eleusine indica). Transcriptome analysis identified 699 genes differentially expressed when fed on corn, wheat, and goosegrass. The analysis indicated that the detoxification metabolic pathway may be related to host adaptability. We identified only one SfGSTs2 gene within the GST family and investigated its functional role across different developmental stages and tissues by analysing its spatial and temporal expression patterns. The SfGSTs2 gene expression in the midgut of larvae significantly decreased following RNA interference. Further, the dsRNA-fed larvae exhibited a decreased detoxification ability, higher mortality, and reduced larval weight. The findings highlight the crucial role of SfGSTs2 in host plant adaptation. Evaluating the feeding preferences of S. frugiperda is significant for controlling important agricultural pests.
The settling dynamics of finite size, slightly heavier-than-fluid Kolmogorov-scale particles in homogeneous, isotropic turbulence at moderate volume loadings is investigated. A thoroughly validated two-way-coupled, point-particle model based on the complete Maxey–Riley–Gatignol equation of motion is used with closure models for all forces, including the history force, together with corrections for the self-disturbance field created by the particle using a novel zonal-advection-diffusion-reaction method. Settling dynamics is investigated by varying turbulence intensities relative to the particle settling speed in quiescent flow for multiple Stokes numbers. The length scales associated with the turbulence structures that strongly interact with and influence the settling dynamics are investigated using multiscale statistical analysis of the fluid velocity and second invariant of the velocity gradient tensors sampled by the particles. The time scales are investigated using trajectory curvature angle statistics of inertial and fluid particles. Low-to-moderate Stokes number particles tend to sample strain-rate dominated regions of the flow, tend to follow the curvature of the flow paths and show enhanced settling at higher turbulence intensities due to fast tracking and preferential sampling. Higher Stokes number particles, on the other hand, have a tendency to travel in straight lines relative to the flow and result in reduced settling speeds due to loitering. For the low mass loadings considered in this work, there is minimal global effect on the turbulent flow characteristics; however, it is found that the Kolmogorov-scale particles interact with and locally modify flow structures approximately twice their size, whereas they sample flow velocities from scales up to ten times the particle size, influencing preferential sampling and settling characteristics.