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Reversible Zn <sup>2+</sup> ‐Activated Channel Transport Through Monomer‐Dimer Interconversion of Rotaxane
Abstract Inspired by natural ligand‐gated ion channels, artificial counterparts are of great interest for understanding biological transport mechanisms and developing bioinspired functional systems. Here, we report a Zn 2+ ‐activated artificial ion channel from a [2]rotaxane. Its key components are: i) a sliding bis(benzo‐18‐crown‐6) unit for K⁺ transport and ii) a Zn 2+ ‐responsive terpyridine thread that provides gating control. The monomeric rotaxane functions as an inactive carrier, whereas Zn 2+ ‐induced dimerization triggers a switch to a highly efficient channel transport mode. This transition is fully reversible with Zn 2+ and competitive ligands. As the first biomimetic Zn 2+ ‐gated artificial ion channel, this work provides a novel design strategy for ligand‐regulated transmembrane transporters.
Inflammation-specific DNA origami nanodevice for delivery of siRNAs to treat ulcerative colitis
A multi-task deep learning approach for landslide displacement prediction with applications in early warning systems
Abstract Accurate landslide displacement prediction is important for the construction of reliable landslide early warning systems (LEWS). Recently, deep neural networks have become the dominant approach for landslide displacement modeling. However, we show that focusing solely on low prediction residuals is not perfectly aligned with the goals of LEWS, where the emphasis is on precise forecasts near the warning threshold. This can result in poor efficiency of threshold-based warning prediction. We propose a multi-task approach to model training, where auxiliary targets are used to optimize the model towards the performance relevant for LEWS. The methodology is validated using the data from the deep-seated Urbas landslide in north-western Slovenia, which has been monitored by GNSS since 2019. Developing a displacement prediction model for Urbas is a step towards extending the existing wire-based mechanical alarm system. We employ a convolutional neural network for day-ahead displacement prediction using recent landslide activity, hydrometeorological measurements and seismological data. The proposed multi-task model retains a competitive $$F_1$$ score for warning prediction while achieving a significantly lower mean absolute error compared to the reference models. The proposed methodology is generally applicable and has the potential to improve the efficiency of landslide modeling in the context of LEWS.
Enhancing NMR Signals in Liquids by Fluorine‐19 Overhauser Dynamic Nuclear Polarization (DNP) and Hyperpolarization Transfer to Carbon‐13
Abstract Nuclear magnetic resonance (NMR) plays an essential role in life and material science but suffers from low sensitivity due to the small energy differences it aims to detect. Therefore, techniques that can increase spin polarization, and thus sensitivity, in NMR are gaining tremendous attention. Overhauser effect dynamic nuclear polarization (OE‐DNP) can increase multidimensional NMR signals of small molecules in liquid solutions; however, at high magnetic fields, the direct mechanism to 13 C is site selective, while it is poorly efficient for 1 H. Here, we report OE‐DNP hyperpolarization of fluorine‐19 ( 19 F) nuclei at 9.4 T, thus expanding the methodological toolbox of 19 F NMR. Signal enhancements up to ∼20 under steady‐state conditions can be used to either rapidly detect 19 F resonances or to enhance through‐bond J‐ coupled 13 C nuclei by two orders of magnitude. The latter corresponds to a 10 4 gain in signal acquisition. We demonstrate this with 19 F→ 13 C INEPT (insensitive nuclei enhanced by polarization transfer) spectra of the drug flutrimazole at 13 C natural abundance, where quaternary carbons become readily detectable, opening perspectives for accelerated NMR on fluorinated drugs or small molecules. The results are corroborated by a theoretical analysis of 19 F OE‐DNP coupling factors.
Precise diagnosis of small invasive pulmonary nodules driven by single-cell immune signatures in peripheral blood
The effect of school-based functional training for physical fitness and postural health among children: a school-based cluster intervention trial
Outside Back Cover: Solvent Channels and Electric Fields Guide Proton Delivery to the Active Site of Heme Peroxidases (Angew. Chem. Int. Ed. 50/2025)
Rehydration rescues Il22−/− mice from lethal Citrobacter rodentium infection
Abstract Interleukin-22 (IL-22) is considered indispensable for host defence against Citrobacter rodentium , with 100% mortality of Il22 −/− mice. While IL-22 promotes epithelial barrier integrity and production of antimicrobial peptides, the precise mechanism underlying lethality remains unclear. Here, we show that following C. rodentium infection Il22 −/− mice succumb due to dehydration, rather than failure to control bacterial burden or regenerate damaged intestinal epithelium. Proteomic and gene expression analysis reveal greater enterocyte depletion in C. rodentium -infected Il22 −/− mice, resulting in significant reductions in ion transporter abundances. We show that while not reducing bacterial load, improving the gut barrier integrity, or affecting immune responses, fluid therapy (FT) fully rescues Il22 −/− mice by correcting systemic dehydration. Survival is associated with locally increased Reg3b , IL-17F and IL-10 levels, suggesting activation of compensatory pathways that potentially support recovery in the absence of IL-22. Recovered Il22 −/− mice exhibit epithelial cell regeneration and tissue physiology similarly to C. rodentium -infected Il22 +/+ mice. These findings suggest that dehydration is the primary cause of mortality in Il22 −/− mice and reveal that IL-22 prevent this outcome by preserving epithelial integrity and fluid-ion absorption. Importantly, this study underscores the necessity of incorporating supportive therapies into preclinical infection models to better reflect physiological settings and improve their relevance in modelling human disease.
A behavioral game-theoretic model for vaccination with fractional-order imitation and aspiration dynamics
Nor[7]circulenyl Neutral Radical and Its Charged Species: Synthesis, Structures, and Efficient NIR‐II Photothermal Conversion for Imaging and Laser Ignition
Abstract [ n ]Circulenes have attracted considerable research interest; however, open‐shell [ n ]circulene‐type structures remain elusive. In this study, we report the synthesis of a highly stable nor[7]circulenyl radical (nor[7]CR) and its isolation in the crystalline phase. nor[7]CR exhibits a distinct four‐stage amphoteric redox behavior, as revealed by cyclic voltammetry. The stable cation (nor[7]CR + ) was obtained via chemical oxidation and isolated in crystalline form, and the corresponding anionic species were characterized spectroscopically. Remarkably, nor[7]CR + exhibits strong NIR‐II absorption at 1105 nm with a high photothermal conversion efficiency (PCE) of 93%, as well as a high maximum photothermal temperature ( T max ) under low optical power density. The applications of nor[7]CR + in photothermal imaging and laser ignition were demonstrated, highlighting its great potential as a photothermal material.
Dynamic behavior of molecular Pd-acetate trimers and dimers in heterogeneous vinyl acetate synthesis
Self-aligned imprint lithography process for fabricating indium-gallium- zinc-oxide thin film transistor arrays
Exploring the development of coach-parent relationships in organized competitive youth team sports
The purpose of this research was to gain a better understanding of coach-parent relationships in organized competitive youth team sports. Two qualitative studies were conducted with distinct samples from youth sports teams (U10-U15) within a large urban center in Ontario, Canada. Study 1 explored perceptions of key relationship-shaping factors among coaches ( n = 21; 5 females, 16 males; age range: 22–64 years) and parents ( n = 20; 6 females, 14 males; age range: 40–63 years). Identified factors included behavioural expectations, communication practices, trust, and pressures associated with professionalization. Study 2 ( n = 20; 10 parents [9 females, 1 male] and 10 coaches [2 females, 8 males]) utilized grounded theory to propose a three-stage developmental model: (a) Introduction and discovery, (b) Curiosity, doubt, or stability, and (c) Engagement or separation. This model provides a clear framework illustrating how coach-parent interactions evolve, stabilize, or deteriorate, influenced by broader sociocultural and structural factors such as generational differences, organizational policies, and sport professionalization. Results emphasize the strategic importance for coaches and sport organizations in managing parent relationships and outline practical implications for enhancing these interactions. This research addresses an important gap by offering a theoretically grounded, developmental perspective on coach-parent dynamics in youth sport.
Inverse In2O3-x/Ni interfaces via Ni3InC0.5 surface reconstruction for efficient CO2 hydrogenation to methanol
A resource-efficient machine learning framework for real-time non-intrusive load monitoring and performance optimization in solar-powered aviation systems
Inside Back Cover: Redox Reactions with Calcium‐Metal Nanoparticles (Angew. Chem. Int. Ed. 50/2025)
Dosing trajectories of antihypertensive agents among preterm neonates: A retrospective, cross-sectional analysis
Introduction Preterm infants are at increased risk for hypertension due to incomplete organ development. With no established guidelines for treating hypertension in this population, clinicians rely on their experience, and little is known regarding those treatment decisions. This study described dosing trajectories for the three most common antihypertensive agents in preterm infants. Methods This retrospective, cross-sectional study examined preterm neonates (gestational age at birth < 37 weeks, postmenstrual age < 44 weeks) treated with antihypertensive medications at the University of Alabama at Birmingham (UAB) Medical Center. The study identified the three most common antihypertensive agents and identified common dosing patterns over time using the functional K-means algorithm. We then compared demographic and clinical information across these clusters. Results The study included 87 patients across 93 visits. The three most common antihypertensive agents were propranolol (61%), captopril (8.8%), and esmolol (12%). Median treatment durations were 292 hours for propranolol, 186 hours for captopril, and 68 hours for esmolol. Propranolol was often initiated at a dose that was maintained with few dosing changes. Patients needing higher doses of propranolol were generally younger gestational age and spent longer in the hospital. Captopril doses started low and increased over time, likely due to safety concerns. Esmolol showed the most variable dosing trajectories. Conclusions Propranolol is often initiated at a target dose and maintained with less titration, while both captopril and esmolol are titrated more often. Younger gestational age patients typically required higher doses of propranolol.
Metabolic support protects mucosa from ferroptosis in radiation-induced mucositis
Integrating quantile regression with ARIMA and ANN for interpretable and accurate PM2.5 forecasting in Hat Yai, Thailand
U.S. politics as a reminder of historical losses in American Indian Adults: Implications for political participation
Historical loss (HL) is a contributor to experiences of historical trauma and its negative impacts on American Indians. The relationship between HL, U.S. politics and political participation among American Indians has not been examined. Minority groups can become politically active through perceiving discrimination or injustices against them. Measures of HL contain items related to the discrimination and injustices that American Indians have experienced. While the Historical Loss Scale (HLS) measures the frequency with which American Indians think about HL, it does not measure the degree to which U.S. Politics may act as a reminder of HL. Here, we introduce an adaptation of the HLS: the U.S. Politics as a Loss Reminder Scale (USPLRS), measuring the degree to which U.S. politics may remind American Indian adults of HL, with higher scores reflecting a greater association between U.S. politics and HL. A sample of 877 American Indian adults completed a series of questionnaires including the HLS, USPLRS, and measures of political participation during the November 2020 national election cycle. Results revealed a 3-factor structure of the USPLRS related to losses due to Government Mistreatment, Interpersonal Loss, and Respect. Scores on both the HLS and USPLRS were positively associated with political participation, with the USPLRS exhibiting incremental validity beyond the HLS.