Wiley最新文献

Spatial synchrony, the tendency for temporal fluctuations in an ecological variable to be positively associated in different locations, is a widespread and important phenomenon in ecology. Understanding of the nature and mechanisms of synchrony, and how synchrony is changing, has developed rapidly over the past 2 decades. Many recent developments have taken place through the study of long-term data sets. Here, we review and synthesise some important recent advances in spatial synchrony, with a focus on how long-term data have facilitated new understanding. Longer time series do not just facilitate better testing of existing ideas or more precise statistical results; more importantly, they also frequently make possible the expansion of conceptual paradigms. We discuss several such advances in our understanding of synchrony, how long-term data led to these advances, and how future studies can continue to improve the state of knowledge.

Tunneling Dielectric Thickness

In article number 2400910, Junhwan Choi, Hocheon Yoo, and co-workers present floating gate devices with tunable characteristics based on the parylene tunneling dielectric layer (TDL) thickness. Thin TDLs enable tunneling, while thicker layers exhibit photomemory with robust retention and flexibility on paper substrates.

Coronary embolism (CE) is a rare yet significant contributor to acute myocardial infarction (AMI), particularly in younger patients. We report a 42-year-old male who experienced an AMI following recent cocaine use. Investigations revealed a left ventricular apical thrombus, identified as the source of a distal embolus occluding the right coronary artery (RCA). Cocaine is known for its thrombogenic effects, promoting thrombus formation through mechanisms such as vasoconstriction and increased platelet aggregation. This unique situation highlights the critical interplay between cocaine use, left ventricular thrombus formation, and the resultant coronary artery embolism, contributing to myocardial ischemia. The patient underwent successful aspiration thrombectomy, restoring coronary blood flow without the need for stenting. This case underscores the importance of recognizing CE as a potential etiology of AMI, particularly in the context of substance abuse, advocating for heightened awareness among clinicians regarding the complexities of managing thromboembolic events.

Coarse-graining (CG) is transforming the study of molecular systems, allowing researchers to explore by computer simulations larger and more complex structures than ever before. Continued advancements in CG techniques are making simulations more efficient, establishing this approach as a cornerstone for designing innovative materials and eco-friendly alternatives to traditional plastics. Additionally, CG methods are becoming indispensable for unraveling the complexities and functional mechanisms of large-scale macromolecular machines within cells. Yet, crafting an effective coarse-grained model demands a nuanced understanding of its advantages and limitations. Faster simulations come at the cost of molecular detail and accuracy in some properties, so that it is essential to balance computational efficiency with the specific needs of the system one wants to simulate. By asking the right questions, researchers can select models that offer the desired benefits while managing trade-offs. This article delves into the potential of different CG models and the compromises inherent in their adoption, highlighting their role in shaping the future of material science and biophysics.

In power system restoration (PSR), networks with various voltage levels have different decision-making constraints and restoration characteristics. Specifically, the restoration plan for the lower voltage level network is more adaptable to uncertainty of wind power output, owing to its greater flexibility. First, the restoration scheme decision-making is divided into two parts for the main network level (MNL) and the regional network level (RNL) respectively, according to the voltage levels. Second, a hierarchical coordinated optimisation model is established based on a two-stage framework. In the first stage, the plants/lines restoration sequence of the MNL and the subsystem partitioning scheme are determined. Furthermore, the plants/lines restoration sequence of the RNL and the restoration power scheduling scheme of the MNL and RNL are obtained in the second stage of optimisation, which can be flexibly adjusted to adapt to uncertain wind power outputs. The coordination and allocation of frequency regulation resources across subsystems are considered. Finally, the nested column and constraint generation algorithm is applied to solve the two-stage robust model. Case studies using the IEEE standard and a provincial system in China show that the algorithm converges in 2–3 iterations. Compared to non-hierarchical approaches, the proposed method improves cumulative restored energy by 2% and 5.3% in case 1 and case 2, respectively, while maintaining robustness against wind power uncertainty, highlighting its effectiveness in multi-level PSR.

Private set intersection (PSI) is a privacy-preserving scheme that computes the intersection of two datasets without leaking any other information. Additionally, there is multiparty private set intersection (MPSI) to extend the number of parties for computing the intersection of multiple private datasets. In the traditional PSI and MPSI studies, protocol parties input their private datasets, and one or all of them can compute the intersection. However, there are some scenarios where an inputless external party requires the intersection between private datasets of other parties. Thus, the external party PSI protocols have been recently studied for applications such as pandemic contact tracing, computing human genome information and evaluating policy effects. However, they are limited in applications because the external party can compute the intersection of two datasets. In this paper, we propose a new external party compute-MPSI (EPC-MPSI) protocols that allow an external party to compute the intersection of multiple datasets. We provide the extension of the number of parties and solve the limitation of prior external party PSI protocols. In addition, we analyze the correctness, security and the efficiency in terms of communication and computation costs compared to the prior traditional MPSI protocols.

Nanostructured Transition Metal Oxides

In article number 2418407, Hyun Ho Kim and co-workers present a universal and ultrafast method for synthesizing nanostructured transition metal oxides (NTMOs) through the induced solidification of microdroplets, enabling rapid production within a minute. Since NTMOs can be directly grown on substrates in ambient air without requiring high-purity carrier gases, this approach facilitates industrial-friendly mass production.

Lalechère, E., Marrec, R., & Lenoir, J. (2025). A Non-Equilibrium Species Distribution Model Reveals Unprecedented Depth of Time Lag Responses to Past Environmental Change Trajectories. Ecology Letters, 28(1), e70040. https://doi.org/10.1111/ele.70040

In the ‘Material and Methods’ section and in the ‘Results’ section, the assertation that the distribution of the residual errors followed a normal distribution was unnecessary to assess model validity. This may lead to some confusion about the family of distribution that was used. As stated in the article, we relied on the binomial distribution.

We apologize for this mistake.