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Dynamic Bifunctional Sites on a COF Enable Efficient Immobilization and Conversion of Iodine Species Toward Li‐Iodine Batteries
ABSTRACT The thermodynamic instability of iodine cation (I + ) and shuttle effect of polyiodide in the two‐electron Li‐iodine (Li‐I 2 ) batteries remain an unresolved bottleneck. The design and preparation of an advanced cathode capable of effectively anchoring and activating iodine species is a desirable but highly challenging target to overcome these issues. In this study, we strategically synthesized a pyridine‐functionalized COF (BPY‐COF‐HI) cathode that enables highly reversible multivalent transition of iodine (I − /I 0 /I + ) within Li‐I 2 batteries. The pyridine sites reversibly switch between protonated state (NH + ) and neutral state (N), allowing them to anchor I 3 − via electrostatic interactions and activate I + via halogen bonding, respectively. Benefiting from this dynamic bifunctional regulation driven by the single pyridine site, a carbon‐nanotube‐integrated composite cathode (BPY‐COF@CNT‐HI) delivers a high‐voltage discharge plateau at 3.58 V corresponding to the reversible I + /I 0 redox and achieves a gravimetric energy density of 642 Wh kg I −1 at 0.3 A g −1 . Remarkably, the cathode maintains ultralong cycling stability over 8000 cycles at 2.0 A g −1 with an exceptionally low capacity fade of 0.0055% per cycle. This result widens perspectives for designing high‐performance cathodes for Li‐I 2 batteries with two‐electron redox chemistry.
Correction: Dietary cauliflower (Brassica oleracea var. botrytis) mitigates benzo[a]pyrene-induced oxidative stress, immune dysfunction, and tissue damage in Nile tilapia
Local Antiaromaticity‐Mediated Chiral Donor–Acceptor Strategy for Efficient Circularly Polarized Luminescence
ABSTRACT Achieving highly efficient circularly polarized luminescence in organic light‐emitting diodes remains a fundamental challenge, because conventional chiral‐perturbation strategies are intrinsically limited by weak electronic coupling between chiral units and the emissive center. To address this limitation, a local antiaromaticity‐mediated chiral donor‐acceptor strategy is introduced. By integrating a locally antiaromatic chiral donor with one or two electron‐accepting triazine units, donor–acceptor and acceptor–donor–acceptor architectures are constructed that exhibit hybridized local and charge‐transfer excited states and enable hot‐exciton channels. Unlike conventional designs, the antiaromatic chiral donor directly contributes to the frontier molecular orbitals and excited‐state spin density distribution, inducing pronounced helical charge redistribution at the emissive center during charge‐transfer excitation. The localized antiaromatic character further strengthens the magnetic transition dipole moment, providing a synergistic amplification of circularly polarized emission. As a result, the optimized emitter ABH‐2TRZ affords deep‐blue circularly polarized electroluminescence with a dissymmetry factor of +7.4 × 10 −3 , a maximum external quantum efficiency of 6.38%, and color coordinates of (0.154, 0.089), close to the deep‐blue display standard. This work establishes antiaromatic chiral donors as an effective platform for high‐performance circularly polarized optoelectronic materials.
Focused ultrasound stimulation of the centromedial amygdala disrupts facial emotion recognition via reduced amygdala–insula connectivity
Light‐Induced Electron‐Rich Gold Directs Nitrate Reduction to Dinitrogen
ABSTRACT Electrocatalytic nitrate reduction reaction (NO 3 RR) provides a controllable route for nitrate conversion, while nitrate purification requires directing the reaction endpoint toward inert N 2 instead of soluble reactive nitrogen species. Here, we establish operating‐state electron enrichment as a design principle for directing NO 3 RR toward N 2 and construct a Cu‐induced electronically reconfigured Au (ER‐Au) interface that enters an electron‐rich state under illumination. Electrochemical in situ interfacial characterization and theoretical calculations show that this electron‐rich environment transforms *NO‐related intermediates from isolated adsorption states into N‐N coupling reactive configurations, selectively enabling the NO 3 − to N 2 branch. Consistent with this branch regulation mechanism, ER‐Au selectively converts NO 3 − to N 2 with 90.84% Faradaic efficiency at pH = 1, as confirmed by product analysis and isotope‐labeling experiments, and further maintains stable operation for 100 h under illuminated acidic NO 3 RR conditions. The high N 2 Faradaic efficiency shows competitive performance among representative NO 3 RR electrocatalysts reported in the literature, especially considering the challenge of directing nitrate reduction toward the inert N 2 endpoint. More broadly, these findings identify operating‐state electron enrichment as a key mechanism and design principle for endpoint‐selective NO 3 RR.
High-frequency induction heat sintering of 316L stainless steel: a systematic investigation of ultra-low-pressure processing, microstructure, and corrosion performance
Abstract The present work provides a systematic evaluation of direct pressure-assisted High-Frequency Induction Heat Sintering (HFIHS) of gas-atomized 316 L stainless steel powder at 40 MPa, approximately 50 kHz, 1000–1150 °C, a 5 min hold, and approximately 1 × 10⁻³ Torr. Relative density, Vickers hardness, maximum compressive stress, microstructure, and corrosion behavior in 3.5 wt% NaCl were evaluated. Relative density increased from 88.87% at 1000 °C to 98.61% at 1150 °C. Hardness measurements increased from 156.5 ± 5.2 HV10 to 263.0 ± 14.4 HV10, while the measured maximum compressive stress increased from 284 to 379 MPa. Fiji-based image analysis showed decreasing pore-area fraction, pore size, and pore connectivity, together with increasing pore circularity and grain size. The lowest polarization-derived corrosion rate was obtained at 1100 °C, whereas the 1150 °C specimen had the highest density and a comparatively clean post-corrosion surface. Within the investigated conditions, the results indicate that direct HFIHS can consolidate 316 L stainless steel to near-full density within a short processing cycle and at substantially lower applied pressure than the conventional press-and-sinter baseline used for comparison.
Induced‐Fit for Oxygen Adsorption: Flexible Conjugated Microporous Polymers With Self‐Adaptive Active Sites for H <sub>2</sub> O <sub>2</sub> Photosynthesis
ABSTRACT Photocatalytic hydrogen peroxide (H 2 O 2 ) synthesis via oxygen reduction reaction (ORR) offers a sustainable alternative to energy‐intensive anthraquinone processes. However, its efficiency is hindered by poor selectivity and instability stemming from reactive superoxide intermediates through the two‐step two‐electron (2e − ) route. Herein, inspired by the “induced‐fit” mechanism of enzymes, a strategy of self‐adaptive active sites modulation using flexible conjugated polymers engineered with nonplanar linking units was proposed. The flexible conjugated microporous polymers facilitated a transition of O 2 adsorption from Pauling‐type to Yeager‐type. Among the designed polymers, CMP‐B4, which was constructed from 4,4′‐position‐coupled bipyridine units, exhibited optimal geometric matching capability for O 2 activation. Specifically, upon the approach of O 2 , the interaction between the lone‐pair electrons of nitrogen atoms in flexible bipyridine unit and π* orbitals of O 2 induced a dihedral rotation (e.g., approximately 10° in CMP‐B4), playing a key role in promoting the one‐step 2e − ORR pathway, thus overcoming the limitations of poor adaptability to diverse O 2 adsorption modes and restricted versatility of dual‐nitrogen units in the rigid nitrogen‐rich polymers. Such configuration of CMP‐B4 suppressed the formation of *OOH intermediates and achieved an excellent photocatalytic H 2 O 2 production rate of 6.21 mmol g −1 h −1 under continuous‐flow photocatalytic conditions over 24 h.
Pediatric intestinal enteroids derived from very early onset inflammatory bowel disease reveal differences in growth, morphology, and barrier function
Enhancing the Versatility of Polyethylene Terephthalate (PET) Through Strategic Biomolecular Functionalization
ABSTRACT As biocatalytic strategies for PET recycling reach maturation, insights gained from PET hydrolase research can be leveraged to inform the design of proteins and surface‐functionalization strategies that promote stable association of functional proteins with PET surfaces, enabling the development of functional protein‐plastic hybrid materials. Herein, we examine recent developments in biofunctionalization strategies of PET and related materials, with a focus on chemical biology approaches that offer more precise control of the orientation of proteins on PET and related materials. Biophysical insights from protein‐polymer interface chemistry studies can inform protein selection, design, and engineering approaches to minimize denaturation and maximize function of proteins upon attachment to surfaces. Finally, we highlight applications of protein‐functionalized PET and related synthetic polymers, including for biomedical applications and scalable biocatalysis, showcasing the potential of integrating biological activity into durable synthetic polymers.
Effectiveness of nicotine gum for intervention and role of behavior counselling for smokeless tobacco cessation in adults in a dental setting: A randomized control trial
Tandem Catalysis for pH‐Universal Hydrogen Oxidation in Fuel Cells
ABSTRACT Minimizing platinum‐group metal (PGM) usage in anion‐exchange membrane fuel cells (AEMFCs) and proton‐exchange membrane fuel cells (PEMFCs) is essential for cost reduction. However, achieving power densities exceeding 1 W cm −2 requires high PGM loadings at the anode, particularly in AEMFCs (>0.1 mg cm −2 ), to sustain hydrogen oxidation reaction (HOR) kinetics. Nickel‐based catalysts offer a low‐cost alternative but are typically limited by poor activity and oxidative instability. Here, we address these limitations by developing a core–shell nanoreactor comprising Ni nanoparticles (NPs) encapsulated by N‐doped graphitic carbon (NC) that is embedded with atomic Ru and Ni species. With an ultralow Ru loading of 1 µg cm −2 , anodes using this catalyst deliver peak power densities of 2.36 and 3.26 W cm −2 in AEMFC and PEMFC, respectively, with negligible structure change after 200 h of continuous operation at 1 A cm −2 in both devices. Mechanistic studies in alkaline media reveal a tandem catalytic pathway in which NPs shielded from the electrolyte dissociate H 2 to H*, and adjacent atomic metal species enable H* spillover across the NC shell to react with surface‐anchored OH*. This work provides a general strategy for designing tandem electrocatalysts for multi‐step catalytic processes.
Pupil size as an early and accessible biomarker of memory performance: a comparative intracranial EEG study
Abstract Noninvasive and real-time methods for tracking the neural dynamics of memory processing remain limited. Here, we tested whether fluctuations in pupil size were associated with trial-to-trial variations in memory performance and how their temporal and discriminative properties compared with intracranial EEG (iEEG) signals. Seven epilepsy patients implanted with electrodes for seizure monitoring performed a free-recall verbal memory task while pupillometry and iEEG signals were recorded simultaneously. Trials were categorized as good or poor based on immediate recall performance, revealing pupil responses that differentiated the trial type 600 ms before word presentation and 200 ms before recall vocalization. These effects showed broadly comparable timing, discriminative strength, and classification performance to simplified iEEG power-in-band features obtained from multiple cortical regions and frequency bands. Our results suggest using pupil dynamics as an accessible biomarker of immediate memory performance in research, clinical and other applications.
Outside Front Cover: Chelation Drives Surface Substitution in Hybrid‐MXenes
Bayesian-optimized explainable boosting models for compressive strength of non-circular LRS-FRP-confined concrete
Abstract Large rupture strain fiber-reinforced polymer (LRS-FRP)-confined concretes are increasingly used in safety–critical infrastructure due to their high ductility and load-carrying capacity; however, accurate prediction of compressive strength (CS) in non-circular sections remains challenging due to non-uniform confinement induced by geometric irregularities, which limits the reliability of existing empirical models and design codes developed mainly for circular sections. To address this limitation, this study develops a reliability-oriented, data-driven framework that combines Bayesian-optimized ensemble machine learning, model interpretability, and uncertainty quantification. Six algorithms including random forest (RF), extremely randomized trees (ERT), extreme gradient boosting (XGBoost), histogram based gradient boosting (HistGBM), light gradient boosting machine (LightGBM) and categorical boosting (CatBoost) were trained using an experimental database of 174 non-circular LRS-FRP-confined concrete specimens. Model interpretability was achieved using Shapley additive explanations (SHAP), while predictive reliability was systematically evaluated through uncertainty-aware performance assessment. All models demonstrated strong generalization, with testing coefficients of determination (R 2 ) ranging from approximately 0.96–0.99, and boosting-based methods consistently outperforming bagging approaches. CatBoost (testing R 2 ≈ 0.985) exhibited the best overall performance, the lowest prediction errors, and the most reliable uncertainty estimates. Accordingly, the overall performance ranking was identified as CatBoost > HistGBM > XGBoost > ERT > LightGBM > RF. The results clearly indicate that high predictive accuracy alone is insufficient for reliable modeling of non-circular LRS-FRP-confined concrete and that uncertainty-aware evaluation is essential. SHAP-based analysis yielded physically consistent insights, identifying LRS-FRP thickness, unconfined concrete strength, and section corner radius as the dominant contributors to CS, while highlighting the critical role of post-transition LRS-FRP stiffness in sustaining effective confinement. Overall, the proposed framework offers an interpretable and reliability-aware alternative to conventional models and provides a robust predictive tool for engineering design and assessment of non-circular LRS-FRP-confined concrete.
Synergy Between Photon‐to‐Phonon Pathway and Active Lattice Oxygen Enables Efficient and Stable Syngas Synthesis
ABSTRACT Light‐driven dry reforming of methane (DRM) offers a promising route for syngas synthesis while simultaneously mitigating greenhouse gas emissions of CO 2 and CH 4 . However, the attractive mild‐temperature operating window imposes kinetic constraints on C─H/C═O activation and promotes thermodynamic tendencies for coke formation, resulting in limited efficiency and stability. Herein, manganese oxide (MnO x ) is employed as a multifunctional support to integrate the classic Rh catalytic center, establishing a new benchmark photothermo catalyst for DRM. The system achieves record‐high syngas production rates (H 2 : 948 mmol g −1 h −1 ; CO: 992 mmol g −1 h −1 ) without external heating, alongside exceptional long‐term stability (∼500 h). These production rates and stability also surpass conventional thermocatalysts in similar temperature ranges, with stability exceeding most thermocatalysts by an order of magnitude. Under a separate low‐conversion, high‐gas hourly space velocity (GHSV) protocol, a light‐to‐chemical efficiency (29.5%) can also be reached. MnO x functions as a broadband light harvester, generating a localized thermal field at the micrometre‐scale via an efficient photon‐to‐phonon pathway to facilitate C─H bond activation on Rh. Concurrently, its active lattice oxygen enables a dynamic O L ‐O V cycle for timely removal of C* intermediates and C═O activation. This work underscores the critical role of support engineering in advancing light‐driven DRM.
Round robin test on polystyrene bead number concentration measurement using flow cytometry and commercial automated particle counters
Abstract Reliable particle counting is critical for applications such as clinical monitoring and cell therapy manufacturing. However, various particle counters using different measurement principles are employed, and the absence of reference materials makes standardization challenging. We conducted a round robin test to evaluate the accuracy and reproducibility of particle number concentration measurements using monodisperse polystyrene beads. The study material was prepared, characterized for homogeneity and stability, and assigned a reference value using the volumetric sample loop method. Internal comparisons showed that methods relying on counting beads and automated counters reported concentrations 9–10% higher than the reference value. The material was distributed to three instrument manufacturers, each employing automated counters. The reported results deviated from the reference value by approximately 10%. Feedback from participants highlighted calibration practices and flow cell artifacts as potential sources of bias. Expanded uncertainties, considering repeatability and method-specific factors, ranged from 8% to 11%, with all results falling within the expanded uncertainty of the reference value. This study demonstrates the importance of uncertainty estimation in interlaboratory studies and highlights the need for harmonized results in particle counting. The findings provide a basis for future standardization efforts in particle and cell counting methods.
Nitro Reduction‐Based RNA Control and Ultrafast Release
ABSTRACT RNA protection and controlled release are critical for both fundamental research and therapeutic applications, yet the development of simple, efficient, and reversible post‐synthetic RNA modification strategies remains a significant challenge. Here, we introduce a straightforward approach based on ribose 2′‐hydroxyl acylation with a nitro‐functionalized carbamate, which acts as a redox‐responsive center. This modification selectively inhibits native RNA function while remaining inert to endogenous biogenic reductants and common reducing agents used in biological assays. Upon treatment with low millimolar concentrations of the diboron‐bipyridine reducing pair, RNA function is rapidly restored on a minute timescale. This methodology is broadly applicable across diverse RNA classes and functional contexts, including synthetic RNA oligomers, fluorogenic RNA aptamers, single guide RNAs in CRISPR–Cas9 gene‐editing systems, and mRNAs in living cells for translation control and RNAi‐mediated gene silencing. These results demonstrate the general utility of this approach as a chemically controllable functional switch, providing a versatile toolkit for temporal regulation of RNA activity in both research and biotechnological applications.
Human-machine interaction during robotic-assisted sit-to-stand
Abstract Standing up from sitting is a common yet mechanically demanding activity of daily living. Those with motor impairments often have difficulties performing sit-to-stand transfers independently. Robotic devices can help them to perform and train this movement, providing mechanical assistance and high numbers of task-specific repetitions. Our limited understanding of human-machine interaction at the neural and muscular levels during robotic-assisted sit-to-stand transfers hinders the development of responsive sit-to-stand devices. Therefore, this study investigates independent and robotic-assisted sit-to-stand transitions, comparing synchronised kinematic, electromyography (EMG) and electroencephalography (EEG) data. Neuro-intact participants ( N = 10, 3 males) performed sit-to-stand repetitions, firstly when performed independently and secondly with assistance from a robotic-assisted gait training device. Kinematic data were recorded using a three-dimensional motion capture camera system. EMG was recorded at the bilateral vastus lateralis, biceps femoris, tibialis anterior, and gastrocnemius muscles. Surface EEG activity was recorded using eight focused bipolar channels over the sensorimotor cortex. Kinematic data identified sit-to-stand with robotic assistance took significantly longer compared to the independent condition (median difference 4.5 s; p = 0.038). The flexion phase was prolonged by 3 s, although variability was high ( p = 0.064). EMG data suggested a general trend towards reduced lower limb muscle activity during robotic-assisted trials for most muscle groups and phases of sit-to-stand. The exception was the gastrocnemius muscle where peak activity was significantly increased compared to independent trials (Left: q = 0.032; Right: q = 0.040). EEG data highlighted differences in cortical activity between the sit-to-stand conditions, notably where the distinct ERSP patterns evident during independent sit-to-stand were absent or inconsistent in the robotic-assisted condition. The largest differences were observed in alpha and beta bands, at the central electrodes and during upright standing post-movement. This study identified longer times to complete the exoskeleton-assisted task, a trend towards reduced muscle activation, and altered cortical patterns of movement intent and execution. The findings indicate that robotic assistance may modulate neural and muscular processes associated with motor learning, underscoring the importance of developing devices that are more adaptive and responsive to individual user needs. The results inform future brain-computer interface rehabilitation system design, suggesting that a system may need to be trained with the person in the device to ensure accurate cortical pattern recognition.
Modifying Surfactants Within Divergent Pores of Cluster‐Based Metal‐Organic Frameworks for Syngas Electrosynthesis
ABSTRACT The electrochemical reduction of CO 2 to syngas (CO and H 2 ) provides a potential pathway for synthesizing fuels, but the ability to modulate the syngas composition across a wide range using a catalyst of invariant composition faces considerable difficulties. Herein, we report a new strategy to incorporate ammonium (R 4 N + ) surfactants into the divergent pores of cluster‐based metal‐organic frameworks (MOFs) to regulate the electrocatalytic CO 2 and H 2 O reduction for efficient syngas production. Two divergent clusters, including a symmetric Cu 6 S 6 cluster and an asymmetric Cu 8 S 6 cluster on MOFs, allow the formation of two types of well‐defined pores that selectively accommodate cationic quaternary ammonium surfactants and their anionic counterions, respectively, for modifying the interface of the cluster. The surfactants with longer alky chains sufficiently occupy the inner pore of MOFs, and suppress proton reduction and enhance CO 2 reduction, resulting in tunable syngas compositions, with CO/H 2 ratios ranging from 0.01 to 4.31. Through careful validation of host‐guest interactions between the surfactants and the pores of coordination polymer via co‐crystallization results, the structure‐activity relationship between the surfactants and the catalytic sites was elucidated in depth, providing new insights into the rational regulation of electro‐catalytic pathways via a supramolecular approach.