National Science Foundation

Extreme winds associated with tropical cyclones (TCs) can cause significant loss of life and economic damage globally, highlighting the need for accurate, high‐resolution modeling and forecasting for wind. However, due to their coarse horizontal resolution, most global climate and weather models suffer from chronic underprediction of TC wind speeds, limiting their use for impact analysis and energy modeling. In this study, we introduce a cascading deep learning framework designed to downscale high‐resolution TC wind fields given low‐resolution data. Our approach maps 85 TC events from ERA5 data (0.25° resolution) to high‐resolution (0.05° resolution) observations at 6‐hr intervals. The initial component is a debiasing neural network designed to model accurate wind speed observations using ERA5 data. The second component employs a generative super‐resolution strategy based on a conditional denoising diffusion probabilistic model (DDPM) to enhance the spatial resolution and to produce ensemble estimates. The model is able to accurately model intensity and produce realistic radial profiles and fine‐scale spatial structures of wind fields, with a percentage mean bias of −3.74% compared to the high‐resolution observations. Our downscaling framework enables the prediction of high‐resolution wind fields using widely available low‐resolution and intensity wind data, allowing for the modeling of past events and the assessment of future TC risks.

This editorial provides a background and overview of the interdisciplinary workshop on "The Social and Neural Bases of Creative Movement," bringing together dancers, choreographers, musicians, artists, kinesiologists and neuroscientists to share perspectives and develop a common language to define and explore the relationship between dance and the brain.

Polycyclic aromatic hydrocarbons (PAHs) are organic molecules containing adjacent aromatic rings. Infrared emission bands show that PAHs are abundant in space, but only a few specific PAHs have been detected in the interstellar medium. We detect 1-cyanopyrene, a cyano-substituted derivative of the related four-ring PAH pyrene, in radio observations of the dense cloud TMC-1 using the Green Bank Telescope. The measured column density of 1-cyanopyrene is ∼ 1 .52×10 12 cm − 2 , from which we estimate that pyrene contains up to 0.1% of the carbon in TMC-1. This abundance indicates that interstellar PAH chemistry favors the production of pyrene. We suggest that some of the carbon supplied to young planetary systems is carried by PAHs that originate in cold molecular clouds.

An upwind weak Galerkin finite element scheme was devised and analyzed in this article for convection-dominated Oseen equations. The numerical algorithm was based on the weak Galerkin method enhanced by upwind stabilization. The resulting finite element scheme uses equal-order, say k, polynomial spaces on each element for the velocity and the pressure unknowns. With finite elements of order $k\geqslant 1$, the numerical solutions are proved to converge at the rate of $O(h^{k+\frac{1}{2}})$ in an energy-like norm for convection-dominated Oseen equations. Numerical results are presented to demonstrate the accuracy and effectiveness of the upwind weak Galerkin scheme.

Aftershocks within an extensional fault discontinuity of the 1992 Landers, California earthquake rupture occurred at an approximately constant rate for over three years following the mainshock. This contrasts with most of the rest of the aftershock sequence, and aftershock sequences in general, for which aftershock rates decay following Omori’s law. The protracted aftershocks in the fault discontinuity can be understood if pore fluids are present at seismogenic depths and trigger seismicity as they flow to equilibrate pore pressure during the transition from the immediate, undrained to the eventual, drained condition. Changes in pore fluid pressure modulated by changes in the mean normal stress provide a clear and unambiguous signature of fluid effects in earthquake triggering. If this result generalizes to other settings, it suggests a predictable time-dependent component to the pattern of aftershock triggering not accounted for in models of Coulomb static stress triggering.

Study Design Broad narrative review. Objectives To review and summarize the evolution of spinopelvic fixation (SPF) and its implications on clinical care. Methods A thorough review of peer-reviewed literature was performed on the historical evolution of sacropelvic fixation techniques and their respective advantages and disadvantages. Results The sacropelvic junction has been a long-standing challenge due to a combination of anatomic idiosyncrasies and very high biomechanical forces. While first approaches of fusion were determinated by many material and surgical technique-related limitations, the modern idea of stabilization of the lumbosacral junction was largely initiated by the inclusion of the ilium into lumbosacral fusion. While there is a wide spectrum of indications for SPF the chosen technique remains is defined by the individual pathology and surgeons’ preference. Conclusion By a constant evolution of both instrumentation hardware and surgical technique better fusion rates paired with improved clinical results could be achieved.

During DNA repair, ATM-induced H2AX histone phosphorylation and MDC1 recruitment spread megabases beyond the damage site. While loop extrusion has been suggested to drive this spread, the underlying mechanism remains unclear. Herein, we provide two lines of evidence that loop extrusion is not the only driver of damage-induced γH2AX spread. First, cohesin loader NIPBL and cohesin subunit RAD21 accumulate considerably later than the phosphorylation of H2AX and MDC1 recruitment at micro-IR-induced damage. Second, auxin-induced RAD21 depletion does not affect γH2AX/MDC1 spread following micro-irradiation or DSB induction by zeocin. To determine if diffusion of activated ATM could account for the observed behavior, we measured the exchange rate and diffusion constants of ATM and MDC1 within damaged and unperturbed chromatin. Using these measurements, we introduced a quantitative model in which the freely diffusing activated ATM phosphorylates H2AX. This model faithfully describes the dynamics of ATM and subsequent γH2AX/MDC1 spread at complex DNA lesions.

Earthquake early warning (EEW) alerts may give people valuable seconds to take protective action, such as drop, cover and hold on, before earthquake shaking starts. In order for individuals to take protective action, they need to receive the alert, understand the alert message, and have enough contextual knowledge to take appropriate protective action. Deaf and hard of hearing (DHH+) persons do not have equitable access to earthquake information, warning systems, training, and participation in disaster decision-making at all levels. Despite international policies for emergency alerts to be accessible to people with disabilities, there are no research publications that specifically address the effectiveness of EEW alerts for DHH+ communities. Missed notifications and misunderstandings about elements of the EEW alert message can delay the response time of DHH+ persons. Furthermore, unequal access to earthquake drills and preparedness information can leave DHH+ persons with insufficient context to take protective action when receiving alerts. The existing gaps in effectiveness of the EEW alerts stem from language inequities for DHH+ persons in our schools, workplaces and families, which we analyze by applying linguistic anthropological and sociolinguistic frameworks to examine the nexus of DHH+ communities’ languages and EEW messaging. To advance language equity in EEW alerting, inclusion of DHH+ communities can improve messaging and reduce misunderstandings so that DHH+ persons can quickly take protective action when they receive an alert.

Background Transorbital neuroendoscopic (TONES) approaches have been described for resection of spheno-orbital, cavernous sinus, and Gasserian ganglion lesions. Lesions involving the petrous apex and cerebello-pontine angle (CPA) offer a formidable challenge via standard TONES approaches. This cadaveric study examined the surgical field-of-view and anatomic constraints provided by a novel extended transorbital neuroendoscopic (eTONES) approach and compared these to previously described TONES approaches and the traditional subtemporal anterior petrosectomy. Methods The eTONES approach includes single-piece removal of the superior and lateral orbital rims. This in turn offers expanded surgical trajectory to middle fossa skull base, anterior petrous ridge, and ventro-lateral posterior fossa, while reducing globe retraction. Four cadaveric heads underwent eTONES approach on one side and traditional subtemporal anterior petrosectomy on the contralateral side. Petrosectomy volume, location, and posterior fossa field-of-view were compared between the two approaches. Results Mean volume of petrous bone removed in the standard eTONES was 0.84 ± 0.38 ml. In comparison, the mean volume of petrous bone removed in the subtemporal approach was 0.72 ± 0.15 ml. On a single specimen, a superior eTONES variation was performed, tailored to provide access to the petrous apex and petroclival region, and 0.07ml of petrous bone was removed. Standard eTONES offered a straight on ventral-to-dorsal view of the internal acoustic canal and CPA contents. Conversely, traditional subtemporal approach, provided an unobstructed view of the medial CPA and petroclival region, with a lateral-to-medial viewing angle. Superior eTONES variation ‘bridges-the-gap’ between standard eTONES and subtemporal approaches in terms of petroclival and petrous apex exposure. Conclusion eTONES provides a straight on, minimally invasive endoscopic surgical approach that is comparable to the traditional subtemporal approach and may complement other surgical approaches for lesions involving the cavernous sinus, petroclival region, petrous ridge, and CPA. The describ¹ed approach has yet to be examined in a clinical setting.

Cancer metastasis accounts for a majority of cancer-related deaths worldwide. Metastasis occurs when the primary tumor sheds cells into the blood and lymphatic circulation, thereby becoming circulating tumor cells (CTCs) that transverse through the circulatory system, extravasate the circulation and establish a secondary distant tumor. Accumulating evidence suggests that circulating effector CD$8^{+}$ T cells are able to recognize and attack arrested or extravasating CTCs, but this important antitumoral effect remains largely undefined. Recent studies highlighted the supporting role of activated platelets in CTCs’s extravasation from the bloodstream, contributing to metastatic progression. In this work, a simple mathematical model describes how the primary tumor, CTCs, activated platelets and effector CD$8^{+}$ T cells participate in metastasis. The stability analysis reveals that for early dissemination of CTCs, effector CD$8^{+}$ T cells can present or keep secondary metastatic tumor burden at low equilibrium state. In contrast, for late dissemination of CTCs, effector CD$8^{+}$ T cells are unlikely to inhibit secondary tumor growth. Moreover, global sensitivity analysis demonstrates that the rate of the primary tumor growth, intravascular CTC proliferation, as well as the CD$8^{+}$ T cell proliferation, strongly affects the number of the secondary tumor cells. Additionally, model simulations indicate that an increase in CTC proliferation greatly contributes to tumor metastasis. Our simulations further illustrate that the higher the number of activated platelets on CTCs, the higher the probability of secondary tumor establishment. Intriguingly, from a mathematical immunology perspective, our simulations indicate that if the rate of effector CD$8^{+}$ T cell proliferation is high, then the secondary tumor formation can be considerably delayed, providing a window for adjuvant tumor control strategies. Collectively, our results suggest that the earlier the effector CD$8^{+}$ T cell response is enhanced the higher is the probability of preventing or delaying secondary tumor metastases.

This paper introduces an extension of the well-known Morley element for the biharmonic equation, extending its application from triangular elements to general polytopal elements using the weak Galerkin finite element methods. By leveraging the Schur complement of the weak Galerkin method, this extension not only preserves the same degrees of freedom as the Morley element on triangular elements but also expands its applicability to general polytopal elements. The numerical scheme is devised by locally constructing weak tangential derivatives and weak second-order partial derivatives. Error estimates for the numerical approximation are established in both the energy norm and the L2$L^2$ norm. A series of numerical experiments are conducted to validate the theoretical developments.

Self-healing smart grids are characterized by fast-acting, intelligent control mechanisms that minimize power disruptions during outages. The corrective actions adopted during outages in power distribution networks include reconfiguration through switching control and emergency load shedding. The conventional decision-making models for outage mitigation are, however, not suitable for smart grids due to their slow response and computational inefficiency. Here, we present a graph reinforcement learning model for outage management in the distribution network to enhance its resilience. The distinctive characteristic of our approach is that it explicitly accounts for the underlying network topology and its variations with switching control, while also capturing the complex interdependencies between state variables (along nodes and edges) by modeling the task as a graph learning problem. Our model learns the optimal control policy for power restoration using a Capsule-based graph neural network. We validate our model on three test networks, namely the 13, 34, and 123-bus modified IEEE networks where it is shown to achieve near-optimal, real-time performance. The resilience improvement of our model in terms of loss of energy is 607.45 kWs and 596.52 kWs for 13 and 34 buses, respectively. Our model also demonstrates generalizability across a broad range of outage scenarios.

Gestures are one of the ways in which mathematical cognition is embodied and have been elevated as a potentially important semiotic device in the teaching of mathematics. As such, a better understanding of gestures used during mathematics instruction (including frequency of use, types of gestures, how they are used, and the possible relationship between gestures and student performance) would inform mathematics education. We aim to understand teachers’ gestures in the context of early algebra, particularly in the teaching of the equal sign. Our findings suggest that the equal sign is a relatively rich environment for gestures, which are used in a variety of ways. Participating teachers used gestures frequently to support their teaching about the equal sign. Furthermore, the use of gestures varied depending on the particular conception of the equal sign the instruction aimed to promote. Finally, teacher gesture use in this context is correlated with students’ high performance on an early algebra assessment.