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In this study, under the conformity of engineering reality, considering the influence of slip coefficient on the variation range of winding angle, 15 composite lay‐up schemes of hydrogen storage vessels were designed using grid theory, and the hydrogen storage vessels's structural strength was analyzed. The distribution of non‐geodesic fiber windings on the outer surface of the inner layer was solved using differential theory and the winding principle, and ABAQUS established the finite element model. The maximum stress value and stress distribution of the composite layer of the hydrogen storage vessel along the fiber direction were studied, the damage of the composite layer was analyzed, and the pressure and mode of the bursting were predicted. Results show that the structural strength of the hydrogen storage vessel designed by this method can be effectively guaranteed. The hoop winding layer bears the majority of the stress on the hydrogen storage vessel, while the helical winding layer's fiber strength is not entirely utilized. The hydrogen storage vessel gains greater structural strength when the circumferential winding layer is concentrated and situated at the outermost portion of the composite layer. The layup scheme has an impact of approximately 17.21% on burst pressure. Highlights: Effect of slip coefficient on the change of winding angle.Different forms of composite lay‐up schemes were designed.The stress distribution in the composite layer was studied.Analyzed structural strength and damage of the composite layer.Predicted the pressure and mode of bursting. [ABSTRACT FROM AUTHOR]

This paper investigates the finite‐time synchronization issue of Takagi‐Sugeno (T‐S) fuzzy stochastic complex networks (TSFSCN) with disturbances and time‐varying delays using the preassigned‐time sliding mode control (SMC) strategy. A novel fuzzy SMC law is designed by introducing a time‐varying function, ensuring that the error system reaches the sliding mode surface (SMS) within any preassigned time and converges to zero along the SMS. The arrival time and sliding time are independent of design parameters and initial values, enhancing the stability and controllability of the system. Additionally, the adoption of a continuous function to replace the sign function reduces the chattering phenomenon in the system. Based on Lyapunov theory and finite‐time SMC strategy, a sufficient condition is derived for the system to achieve arbitrary preassigned‐time synchronization. Finally, the effectiveness of the proposed control method is verified through two examples. [ABSTRACT FROM AUTHOR]

The selective cleavage of C−N bonds in N‐containing compounds holds significant research value in organic synthesis, particularly for the synthesis of promising polynitrogen species. For instance, the discovery of the cyclo‐pentazolate (cyclo‐N5−) anion in 2017 as a result of cleavage of the C−N bond has sparked interest within the field of high energy density materials. However, previous methods using ferrous glycinate and m‐chloroperoxybenzoic acid generated the cyclo‐N5− anion in a low yield of 19.5 % after 24 hours, and the mechanism remained unclear. In this study, we developed an efficient catalytic system comprising Mn (II) tetraphenylporphyrin and cumyl hydroperoxide. This system enables the cyclo‐N5− anion to be produced from 3,5‐dimethyl‐4‐hydroxyphenylpentazole in 35.4 % yield in 4 hours. Characterization of Mn(IV)‐oxo porphyrins, ⋅CH3, and ⋅C8H8ON5 radicals provides evidence for the mechanism whereby the cyclo‐N5− anion forms. Our study underscores the competitive potential of radical‐initiated selective C−N bonds cleavage in N‐arylazoles and opens avenues for further exploration in this field. [ABSTRACT FROM AUTHOR]

Considering the nonlinearity of shear in the mechanics of composite materials, the increase of shear strength when the substrate interface is compressed, and the shear of the matrix itself, the Chang–Chang criterion is improved. The improved Chang–Chang criterion was used to establish a progressive damage model of low‐velocity impact of composites. The low‐velocity impact process of T700/EM134 composite laminates in the energy range from 5 to 10 J was compared by physical tests and finite element simulations, and the calculated impact response curves and material damage were in good agreement with the test results, which proved that the model of the improved criterion was suitable for the damage prediction of low‐velocity impact of composite laminates. Highlight: Consider various situations in composite material shearing.Improved based on the Chang–Chang criterion.Establishing a progressive damage model for low‐speed impacts.Comparison through physical experiments and finite element simulation.Prove that the improved criterion model is suitable for damage prediction. [ABSTRACT FROM AUTHOR]

Near‐infrared light‐emitting diodes (NIR LEDs) based on perovskite quantum dots (QDs) have produced external quantum efficiency (EQE) of ~15 %. However, these high‐performance NIR‐QLEDs suffer from immediate carrier quenching because of the accumulation of migratable ions at the surface of the QDs. These uncoordinated ions and carriers—if not bound to the nanocrystal surface—serve as centers for exciton quenching and device degradation. In this work, we overcome this issue and fabricate high‐performance NIR QLEDs by devising a ligand anchoring strategy, which entails dissolving the strong‐binding ligand (Guanidine Hydroiodide, GAI) in the mediate‐polar solvent. By employing the dye‐sensitized device structure (phosphorescent indicator), we demonstrate the elimination of the interface defects. The treated QDs films exhibit an exciton binding energy of 117 meV: this represents a 1.5‐fold increase compared to that of the control (74 meV). We report, as a result, the NIR QLEDs with an EQE of 21 % which is a record among NIR perovskite QLEDs. These QLEDs also exhibit a 7‐fold higher operational stability than that of the best previously reported NIR QLEDs. Furthermore, we demonstrate that the QDs are compatible with large‐area QLEDs: we showcase 900 mm2 QLEDs with EQE approaching 20 %. [ABSTRACT FROM AUTHOR]

In this paper, the surface morphology of the parts was improved by the in‐mold decoration and microcellular foaming injection molding (MIM‐IMD), and the mechanical properties of the parts were improved by inorganic particles modification. The effects of different inorganic particles (CaCO3, MMT, Talc) on the rheological behavior, crystallization properties, cell structure, surface quality, and mechanical properties of the MIM‐IMD composites were analyzed through experimental research and comprehensive macro and micro characterization. It was found that the foamed composite added with MMT had the highest surface quality, the best cell structure, the minimum average cell diameter of 78.4 μm and the maximum cell density of 3.09 × 106 cells/cm3. Talc improved the crystallinity of polypropylene (PP) matrix, and the resulting mechanical properties were the most significant improvement. Tensile, flexural, and impact strength were increased by 20.3%, 11.6%, and 45.2%, respectively. Highlights: The MIM‐IMD process was used to improve the surface quality of the samples.The enhancement of different inorganic particles on the properties were compared.The properties were evaluated by macro‐ and micro‐characterization.Inorganic particles can significantly improve the cell structure.Inorganic particles can greatly improve mechanical properties. [ABSTRACT FROM AUTHOR]

BACKGROUND: Flusulfinam, a novel chiral herbicide, effectively controls Echinochloa crusgalli and Digitaria sanguinalis in paddy fields, indicating significant potential for practical agricultural applications. However, limited information is available on flusulfinam from a chiral perspective. A comprehensive evaluation of the enantiomeric levels of flusulfinam was performed. RESULTS: Two enantiomers, R‐(+)‐ and S‐(−)‐flusulfinam, were separately eluted using a Chiralcel OX‐RH column. The bioactivity of R‐flusulfinam against the two was 1.4–3.1 fold that of Rac‐flusulfinam against two weed species. R‐flusulfinam toxicity to Danio rerio larvae and Selenastrum capricornutumwere was 0.8‐ and 3.0‐fold higher than Rac‐flusulfinam, respectively. Degradation experiments were conducted using soil samples from four Chinese provinces. The findings indicated that S‐flusulfinam (half‐life T1/2 = 40.8 days) exhibits preferential degradation than R‐flusulfinam (T1/2 = 46.2–57.8 days) in the soils of three provinces. Under anaerobic conditions, soil from Anhui exhibited preferential degradation of R‐flusulfinam (T1/2 = 46.2 days) over S‐flusulfinam (T1/2 = 63 days). Furthermore, two hydrolysis products of flusulfinam (M299 and M100) are proposed for the first time. CONCLUSION: The enantioselective bioactivity, toxicity and degradation of flusulfinam were investigated. Our findings indicate that R‐flusulfinam is an extremely effective and low‐toxicity enantiomer for the tested species. The soil degradation test indicated that the degradation of flusulfinam was accelerated by higher organic matter content and lower soil pH. Furthermore, microbial communities may play a crucial role in driving the enantioselective degradation processes. This study lays the groundwork for the systematic evaluation of flusulfinam from an enantiomeric perspective. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

A simple and mild protocol for the direct synthesis of vinyl nitriles is described. By employing potassium trimethylsilanolate as the mild base and benzyl chloride as the efficient promoter, a series of E‐configured vinyl nitriles are selectively obtained from readily available aldehydes and acetonitrile at room temperature without the aid of a transition metal catalyst. Mechanistical investigations reveal that this transformation may go through a Knoevenagel condensation process. [ABSTRACT FROM AUTHOR]

Highlights To explore the potential application of plant fiber reinforced composites for automotive component applications, this study prepared bamboo fiber (BF)/nano‐talc/polypropylene (PP) composites based on the injection molding process, comprehensively evaluated the effect of reinforcement materials on the forming properties of composites, including thermal performance, mechanical properties, water absorption, etc. Furthermore, taking a certain automotive injection molded interior part as the object, a life‐cycle assessment from production to the gate was conducted based on the real energy and material consumption during the composite preparation process. The results indicate that adding BF and talc powder increased the thermal stability, density, hardness, viscosity, and crystallinity of the composites while reducing the water contact angle on the surface. Surface‐modified BF and PP showed good compatibility. Talc powder exhibited good dispersibility in PP, and the synergistic effect of BF and talc powder effectively enhanced the composite performance. The tensile, flexural, and impact strength of the composites were improved by 40.64%, 51.48%, and 66.51%, respectively, compared with pure PP. The modulus of the composite increased nearly 2 times compared with pure PP. Additionally, the composite demonstrated good friction and wear properties. The environmental impact of the BF composite manufacturing process was significantly higher than that of pure PP. The substantial consumption of electricity, chemicals, and water resources in the extraction and modification processes of BF were the main factors. The findings of this study contribute to achieving green, high‐performance BF composite manufacturing and the expansion of its applications. Composites have a higher environmental impact compared to PP. BF and talc can synergistically enhance the performance of composites. BF shows good compatibility with PP. Composites exhibit good friction and wear characteristics. [ABSTRACT FROM AUTHOR]

Along with mounting evidence that gut microbiota and their metabolites migrate endogenously to distal organs, the 'gut–lung axis,' 'gut–brain axis,' 'gut–liver axis' and 'gut–renal axis' have been established. Multiple animal recent studies have demonstrated gut microbiota may also be a key susceptibility factor for neurological disorders such as Alzheimer's disease, Parkinson's disease and autism. The gastrointestinal tract is innervated by the extrinsic sympathetic and vagal nerves and the intrinsic enteric nervous system, and the gut microbiota interacts with the nervous system to maintain homeostatic balance in the host gut. A total of 1507 publications on the interactions between the gut microbiota, the gut–brain axis and neurological disorders are retrieved from the Web of Science to investigate the interactions between the gut microbiota and the nervous system and the underlying mechanisms involved in normal and disease states. We provide a comprehensive overview of the effects of the gut microbiota and its metabolites on nervous system function and neurotransmitter secretion, as well as alterations in the gut microbiota in neurological disorders, to provide a basis for the possibility of targeting the gut microbiota as a therapeutic agent for neurological disorders. [ABSTRACT FROM AUTHOR]

Herein, we demonstrate the synthesis of azafluoranthene derivatives under mild conditions via [2+2+2] cycloaddition of 1,6‐diynes and nitriles catalyzed by CoBr2/dppp, exhibiting good atom economy. This procedure uses an inexpensive ligand and an earth‐abundant metal as catalyst to lower the cost of synthesis. Several azafluoranthenes are produced in 28–95% yields using this approach, featuring mild conditions, wide substrate scope, and good functional group tolerance. The fluorescence spectra of some azafluoranthenes indicate that these scaffolds have good photophysical properties for material science. [ABSTRACT FROM AUTHOR]

Skin wound healing is a well‐coordinated process in which various cells and factors participate, during which fibroblast exhibits a critical role by exerting its multiple activities, including proliferation, migration, invasion, and differentiation. Previous studies have identified that fibromodulin (FMOD) could enhance dermal wound healing by promoting skin fibroblast activities, but little is known about its upstream regulator. We occasionally found that FMOD expression was downregulated in skin fibroblast by transforming growth factor‐β1 treatment. It was hypothesized that microRNAs (miRNA) in skin fibroblast could downregulate FMOD production and blocking them would increase FMOD expression, as well as promote skin wound healing. Here, by utilizing combined analysis of miRNA microarray from the Gene Expression Omnibus database and miRNA targets prediction, we successfully identified a miRNA, termed miR‐494‐3p, could regulate FMOD production in human skin fibroblast (BJ fibroblast). The functional analysis revealed that miR‐494‐3p mimics could inhibit BJ fibroblast migration and invasion but not proliferation and differentiation, while miR‐494‐3p inhibition markedly promotes migration, invasion, and differentiation of BJ fibroblast. Moreover, we established FMOD overexpression (OE) and knockout BJ fibroblast. We found that FMOD OE could rescue the inhibitory effects of miR‐494‐3p mimics on the migration and invasion of BJ fibroblast. In contrast, the miR‐494‐3p inhibitor transfection could not enhance migration, invasion, and differentiation of FMOD KO BJ fibroblast. Together, our results suggest that miR‐494‐3p may be a potential target for skin wound management via regulating FMOD production. [ABSTRACT FROM AUTHOR]

Rhamnolipids, simply divided into mono‐rhamnolipids and di‐rhamnolipids, their physicochemical properties are structure‐dependent. This study explored to increase the proportion of di‐rhamnolipids biosynthesized from Pseudomonas aeruginosa and evaluate the relationship between activity and di‐rhamnolipids proportions. P. aeruginosa SGrhlC was constructed by increasing the rhlC gene in P. aeruginosa SG. HPLC‐MS results indicated that SGrhlC produced more di‐rhamnolipids (62.32%) than that of the wild‐type strain SG (45.24%). Both the species and proportion of di‐rhamnolipids were increased, mainly Rha‐Rha‐C8‐C10 and Rha‐Rha‐C10‐C10. The rhamnolipids produced by SGrhlC was thermostable and salt‐tolerant. The SGrhlC rhamnolipids decreased surface tension of water to 27.0 mN/m with a critical micelle concentration (CMC) of 50 mg/L and emulsified crude oil with an emulsification index of 66.9 ± 1.5%. The SGrhlC rhamnolipids exhibited antimicrobial activity against Staphylococcus aureus and Cladosporium sp. with IC50 (half maximal inhibitory concentration) values less than 15 mg/L, and washed 73.02% ± 1.77% of oil from petroleum‐contaminated soil. Physicochemical activities of three bacterial rhamnolipids varied with their di‐rhamnolipids proportions. Results indicated that the higher proportions of di‐rhamnolipids were, the lower CMC, better surface activity and higher washing oil rate were, while the weaker emulsifying activity and lower antimicrobial activity were. The SGrhlC rhamnolipids showed better surface activity and a lower critical micelle concentration, which was superior for wetting, foaming, desorbing and dispersing. This study revealed that P. aeruginosa can be genetically regulated to biosynthesize rhamnolipids with specific structure. Perspectives of the customized biosynthesis and applications of rhamnolipids were also discussed. [ABSTRACT FROM AUTHOR]

In this study, a portable plasma generator produced large‐area air plasma for treating infected wounds in BALB/c mice. Different plasma treatment times (30 s, 1 min, 3 min, and 4.5 min) were applied daily until the wounds healed completely. Results showed reduced inflammation and increased vascular endothelial growth factor (VEGF) expression in tissues treated for 1 and 3 min, promoting blood vessel proliferation and collagen fiber synthesis. However, treatment for 30 s and 4.5 min worsened inflammation and decreased VEGF expression. Overall, a 1‐min treatment was the most effective in promoting wound healing. Cold plasma shows promise for healing infected wounds, with treatment duration being a crucial factor. [ABSTRACT FROM AUTHOR]

Promising synaptic behaviour has been exhibited by memristors based on natural organic materials. Such memristor‐based neuromorphic systems offer notable benefits, including environmental sustainability, low production and disposal costs, non‐volatile storage capability, and bio/Complementary Metal‐Oxide‐Semiconductor (CMOS) compatibility. Here, a 256‐level honey memristor‐based neuromorphic system is experimentally evaluated for image recognition. In detail, first, 256‐level honey memristors are manufactured and tested based on in‐house technology; next, the non‐linear characteristics and inherent variation of honey memristor devices, which lead to imprecise weight updates and limit the inference accuracy, are investigated. Experimental results indicate that the inference accuracy of the 256‐level honey memristor‐based neuromorphic system is greater than 88% without cycle‐to‐cycle variations and 87% with cycle‐to‐cycle variations for different optimization algorithms. The overall performance of optimization algorithms with and without variation is compared in terms of energy and latency, where the momentum algorithm consistently outperforms the rest of the algorithms. This 256‐level honey memristor is a promising alternative enabling sustainable neuromorphic systems, encouraging further research into natural organic materials for neuromorphic computing. [ABSTRACT FROM AUTHOR]

Developing the sustainable and cost‐effective heterogeneous catalytic system for controlling chemoselectivity holds substantial importance in fine organic chemicals. Herein we construct a unique Zr(OH)4 + CuO physically hybrid system for selective oxidation of anilines. Zr(OH)4 alone leads to azoxybenzene formation, and Zr(OH)4 + CuO shifts the reaction favorably toward nitrosobenzene. The proximity study indicates Zr(OH)4 + CuO outperforms its counterparts synthesized through methods like ball‐milling, loading, and coprecipitation, because the closer proximity exhibits stronger chemical interaction, restricting the activity of Zr‐OH hydroxyl sites. Through mechanistic experiments, in situ DRIFT‐IR and DFT calculations, a new Ph‐N˙OH intermediate mechanism is firstly proposed. Two Ph‐N˙OH self‐condensate to form azoxybenzene for only Zr(OH)4, whereas Zr(OH)4 + CuO could promote rapid transformation of Ph‐N˙OH to nitrosobenzene on CuO through a hydrogen transfer process. Moreover, Zr(OH)4 + CuO displays good recyclability and robust scalability. This is the first report demonstrating the utilization of a physically hybrid catalyst to adjust the selectivity of the aniline oxidation reaction. [ABSTRACT FROM AUTHOR]

In the modern period, scientists are interested in the functional properties of natural materials. The present study is the first report on the use of safflower (Carthamus tinctorius L.) yellow dye extract combined with chitosan bio‐mordant for enhancing the anti‐bacterial and ultraviolet‐protective activities of silk. The presence of flavonoid‐based compounds in the dye extract was verified using liquid chromatography–mass spectrometry, Fourier transform‐infrared spectroscopy, and ultraviolet‐visible techniques. Moreover, alum mordant was also utilised in the silk dyeing process to compare the efficiency of bio and metallic mordanting agents. Experiment outcomes revealed that the chitosan mordanted‐dyed silk sustained adequate fastness after being tested by washing, light, wet‐rubbing, and dry‐rubbing. In addition, superb bacterial inhibition percentages of 89% and 76% against Escherichia coli and Staphylococcus aureus, individually, were accomplished. Furthermore, the ultraviolet‐protective behaviour of this silk sample was demonstrated with a 50+ ultraviolet protection factor and low‐grade ultraviolet transmittance. This study reveals the great performance of an organic flavonoid dye as a sustainable and environmentally‐friendly substance for dyeing and functionalising silk, as well as the efficacy of a green mordant over a metallic mordant in increasing the dyeability and functional activities of silk. [ABSTRACT FROM AUTHOR]

Microcellular foamed plant fiber composites have the advantages of low density, low cost, and biodegradability, so it has great development potential in the industry. Nevertheless, the existence of cellular structures diminishes the mechanical performance of plant fiber composites. To overcome this problem, in this study, nano‐CaCO3 was used to enhance the microcellular foamed plant fiber composites, and the three‐phase thermoplastic composites, comprised of nano‐CaCO3, rice‐husk fiber, and polypropylene (PP), were fabricated using a chemical foaming injection molding technique. The study analyzed how the nano‐CaCO3 concentration affected the melt viscosity, crystallization characteristics, mechanical properties, and cellular structure of the composites. According to the findings, the mechanical characteristics of microcellular foamed three‐phase thermoplastic composites were enhanced initially and subsequently diminished as the nano‐CaCO3 content was augmented, and obtained optimal value at 2 wt% nano‐CaCO3 content. By observing the cells of microcellular foamed three‐phase thermoplastic composites in vertical and parallel melt flow directions, it was found that the nano‐CaCO3 content of 2 wt% three‐phase thermoplastic composite had the best cellular structure. Highlights: The role of nano‐CaCO3 in plant fiber composite materials was explored.The relationship between the content of nano‐CaCO3 and the various properties of tri‐phasic plant fiber composite materials was demonstrated.The mechanisms by which nano‐CaCO3 enhances plant fiber composite materials were analyzed at both macroscopic and microscopic levels. [ABSTRACT FROM AUTHOR]

In this study, the double remnant polarization (2Pr) is enhanced from ≈2 to 25 µC cm−2 at a low applied voltage of ±2 V (or from 10 to 35 µC cm−2 at a voltage of ±4 V) by decreasing the WNx interfacial capping layer (ICL) thickness from 6 to 2 nm in a novel Ru/WNx ICL/Hf0.5Zr0.5O2(HZO)/TiN structure after annealing at 400 °C in a furnace. This occurs because of the higher orthorhombic (o) plus rhombohedral (r) phases (>70%), which is analyzed by geometrical phase analysis (GPA) of high‐resolution transmission electron microscope (HRTEM) images. An optimized 2 nm WNx ICL memory capacitor shows a low coercive field (Ec) of 1.27 MV cm−1 and long endurance of > 109 cycles (remaining 2Pr value of 13.5 µC cm−2) under a low field stress of ±2 MV cm−1 and 0.1 µs hold pulse width (or ≈1.67 MHz). Even this long endurance of > 109 cycles is obtained by applying a higher stress of ±2 MV cm−1, 1 MHz, or 100 kHz. Under ±3 MV cm−1 stress, the mechanism is caused by m‐phase growth from both the HZO/TiN bottom electrode (BE) and WNx ICL/HZO interfaces, which is evidenced by HRTEM images after 2 × 107 cycles for the first time. [ABSTRACT FROM AUTHOR]

In response to the climate goal of achieving carbon neutrality by 2050, efficient electrochemical energy conversion devices are garnering increasing attention. However, the enhancement of electrochemical performance using noble metal electrocatalysts, along with cost reduction and electrode fabrication, remain significant challenges. Noble metal hybrid nanostructures, possessing multiple surface functionalities, lead to outstanding electrocatalytic performances and low‐cost potential. Strain effects can bolster the bonding strength between the noble metal layers and the substrate or core layers, while simultaneously affecting electrocatalytic performance through tuning the binding strength between catalytically active sites and reactants, including intermediates. This review encapsulates the research efforts directed towards improving the performance of noble metal electrocatalysts and provides an overview of the latest advancements in controlling the surface state of noble metals by incorporating a secondary component. We discuss systematic approaches to adjusting surface strain effects on noble metals, characterization techniques, and application case studies, while extracting key design indicators for readers to consider from a macroscopic perspective. Further, we outline the challenges encountered and current solutions when advancing noble metal catalysts from theoretical mechanisms to practical use. Finally, the perspectives on the future research of noble metal surface layer control techniques were also provided. [ABSTRACT FROM AUTHOR]

Global patterns in soil microbiomes are driven by non‐linear environmental thresholds. Fertilization is known to shape the soil microbiome of terrestrial ecosystems worldwide. Yet, whether fertilization influences global thresholds in soil microbiomes remains virtually unknown. Here, utilizing optimized machine learning models with Shapley additive explanations on a dataset of 10,907 soil samples from 24 countries, we discovered that the microbial community response to fertilization is highly dependent on environmental contexts. Furthermore, the interactions among nitrogen (N) addition, pH, and mean annual temperature contribute to non‐linear patterns in soil bacterial diversity. Specifically, we observed positive responses within a soil pH range of 5.2–6.6, with the influence of higher temperature (>15°C) on bacterial diversity being positive within this pH range but reversed in more acidic or alkaline soils. Additionally, we revealed the threshold effect of soil organic carbon and total nitrogen, demonstrating how temperature and N addition amount interacted with microbial communities within specific edaphic concentration ranges. Our findings underscore how complex environmental interactions control soil bacterial diversity under fertilization. [ABSTRACT FROM AUTHOR]

Prosocial behaviour is a hallmark of social and emotional competence during childhood. Thus, promoting the development of children's prosocial behaviour can have important downstream benefits for individuals and society. Previous studies indicated that there is a positive effect of negative moral emotions on prosocial behaviour, but the influence of positive moral emotions on prosocial behaviour remains largely unknown. This study adopted three experiments to investigate the influence of positive moral emotions on three aspects of prosocial behaviour in 3–5‐year‐old children. After inducing positive moral emotions in children, they were observed either in helping (Experiment 1, N = 151, 75 boys), sharing (Experiment 2, N = 141, 69 boys) or comforting (Experiment 3, N = 132, 66 boys) scenarios. Results showed that: (1) children's helping, sharing and comforting behaviours in the moral emotions (experimental) group were significantly higher than those in the control group, suggesting that positive moral emotions could positively influence the examined prosocial behaviours; (2) there were age differences in children's helping, sharing and comforting, but the effect of positive moral emotions on the examined prosocial behaviours did not differ by age and gender. These findings point to the need for fostering positive moral emotions in early cultivation of children's prosocial behaviour during pre‐schooler education. [ABSTRACT FROM AUTHOR]

High‐resolution ultrasound (HRUS), operating at frequencies of 20–25 MHz, is a non‐invasive imaging tool that offers dermatologists the ability to visualize structures beneath the skin surface. The objective of this review is to present a comprehensive overview of HRUS applications, emphasising its utility in diagnosing, characterising and managing various dermatological conditions. We undertook a comprehensive literature review on the dermatological application of HRUS across Medline, Embase and Cochrane Library databases, while also incorporating our own clinical experience of over 16 years with the tool. In normal skin, the epidermis and dermis are hyperechoic, and the subcutaneous layer is hypoechoic. Basal cell carcinomas appear hypoechoic with irregular margins, while the presence of hyperechoic inclusion bodies suggests aggressive pathology. Squamous cell carcinomas pose challenges due to acoustic shadow artefacts from the thickened stratum corneum. Melanomas are homogenous hypoechoic lesions, with HRUS used to accurately predict Breslow thickness. HRUS provides dermatologists with a valuable adjunct to traditional clinical examination. Future advancement in image resolution and the standardisation of diagnostic parameters may further expand its utility. [ABSTRACT FROM AUTHOR]

Perovskite light‐emitting diodes (LEDs) emitting in the pure‐red range of 630–640 nm show promise in meeting the requirement of the Rec.2100 standard for high‐resolution displays. However, the high‐performing LEDs (external quantum efficiency, EQE >20%) in the pure‐red range suffer from half‐life time (luminance drop to 50% of the initial luminance) of <1.6 h, resulting from the injection/transportation barrier and surface‐defects–induced charge carrier quenching. Herein, a bi‐ligand synergy strategy is developed to address the T50 issue: the introduction of iodide‐rich ligands with different chain length increases the vacancy formation energy of halogen ions and enhances the exciton binding energy, resulting in a high photoluminescence quantum yield of over 92%. The treated CsPbBrx/I3−x films exhibit 34‐fold improved material stability related to the control at continuous aging at 100 °C. As a result, pure‐red LEDs with CIE coordinates of (0.698, 0.301) approaching the Rec.2100 standard are reported. These pure‐red LEDs exhibit a low turn‐on voltage of 1.8 V, which is the lowest among reported pure‐red perovskite LEDs, and even 0.15 V lower than the optical bandgap energy (1.95 eV); and a maximum EQE of ≈21% with fourfold enhanced T50 relative to the best previous pure‐red perovskite LEDs. [ABSTRACT FROM AUTHOR]

Background: Accurate diagnosis of breast lesions and discrimination of axillary lymph node (ALN) metastases largely depend on radiologist experience. Purpose: To develop a deep learning‐based whole‐process system (DLWPS) for segmentation and diagnosis of breast lesions and discrimination of ALN metastasis. Study Type: Retrospective. Population: 1760 breast patients, who were divided into training and validation sets (1110 patients), internal (476 patients), and external (174 patients) test sets. Field Strength/Sequence: 3.0T/dynamic contrast‐enhanced (DCE)‐MRI sequence. Assessment: DLWPS was developed using segmentation and classification models. The DLWPS‐based segmentation model was developed by the U‐Net framework, which combined the attention module and the edge feature extraction module. The average score of the output scores of three networks was used as the result of the DLWPS‐based classification model. Moreover, the radiologists' diagnosis without and with the DLWPS‐assistance was explored. To reveal the underlying biological basis of DLWPS, genetic analysis was performed based on RNA‐sequencing data. Statistical Tests: Dice similarity coefficient (DI), area under receiver operating characteristic curve (AUC), accuracy, sensitivity, specificity, and kappa value. Results: The segmentation model reached a DI of 0.828 and 0.813 in the internal and external test sets, respectively. Within the breast lesions diagnosis, the DLWPS achieved AUCs of 0.973 in internal test set and 0.936 in external test set. For ALN metastasis discrimination, the DLWPS achieved AUCs of 0.927 in internal test set and 0.917 in external test set. The agreement of radiologists improved with the DLWPS‐assistance from 0.547 to 0.794, and from 0.848 to 0.892 in breast lesions diagnosis and ALN metastasis discrimination, respectively. Additionally, 10 breast cancers with ALN metastasis were associated with pathways of aerobic electron transport chain and cytoplasmic translation. Data Conclusion: The performance of DLWPS indicates that it can promote radiologists in the judgment of breast lesions and ALN metastasis and nonmetastasis. Level of Evidence: 4 Technical Efficacy Stage: 3 [ABSTRACT FROM AUTHOR]

This paper focuses on event‐triggered sampled‐data synchronization of uncertain complex networks with time‐varying coupled delays. First of all, a discrete event‐triggered sampled‐data control scheme is adopted, which not only makes the state of the system be monitored in discrete time, but also the sampling information is effectively transmitted. The proposed event‐triggered mechanism effectively prevents Zeno behavior. In addition, we also use some novel piecewise time‐dependent Lyapunov–Krasovskii and Wirtinger inequality to handle the time‐varying delays and parameter uncertainties of complex networks. Then, synchronization criteria are given for uncertain complex networks. Finally, the simulation results show that the control scheme can significantly reduce the number of transmitted signals while maintaining the uncertain complex networks synchronization. [ABSTRACT FROM AUTHOR]

Resource depletion and environmental degradation have become important issues affecting the human development process. Plant fiber‐reinforced composites (PFRCs) are characterized by high natural availability, good mechanical properties, low density, recyclability, and eco‐friendliness. Expanding human applications of plant fibers is an important measure to combat resource and environmental problems. The injection molding process has the characteristics of strong product size adaptability, high molding precision, and high production efficiency. It is suitable for large‐scale production in the industry and is one of the main molding methods of PFRCs. Currently, there are still challenges and opportunities for high‐performance manufacturing of PFRCs based on the injection molding process. This article reviews the complete process of manufacturing‐service life‐remanufacturing of PFRCs based on the injection molding process. Emphasis is placed on the pretreatment technology and selection strategy of multi‐phase blended raw materials, the molding process conditions, functional applications, and simulation analysis, the aging and degradation characteristics during service, and the remanufacturing characteristics of the composites. Finally, the future research focus is summarized and prospected. The research in this paper will help promote the continuous progress of key technologies in the production process of PFRCs and help the industry to truly realize high‐performance green manufacturing in the future. Highlights: Plant fibers exhibit variability in morphology and properties.The link between the structure and performance of PFRCs is unclear.The degradability and durability of PFRCs are contradictory.The functionality and mechanical properties of PFRCs are contradictory.PFRCs have good characteristics for remanufacturing. [ABSTRACT FROM AUTHOR]

Electron shuttles are pivotal in enhancing the conversion efficiency at the biotic‐abiotic interface within microbial photoelectrochemical systems. Nevertheless, the potentially toxic effects of electron shuttles on microbial cells and their instability when exposed to light are often overlooked. This concept highlights the attention paid to electron shuttles in microbial photoelectrochemical systems, such as the cytotoxicity, the photoexcited state, and the photostability. Furthermore, it offers theoretical guidance for selecting electron shuttles to optimize sustainable energy production and environmental remediation. [ABSTRACT FROM AUTHOR]

Major depressive disorder (MDD) is a clinically heterogeneous disorder. Its mechanism is still unknown. Although the altered intersubject variability in functional connectivity (IVFC) within gray‐matter has been reported in MDD, the alterations to IVFC within white‐matter (WM‐IVFC) remain unknown. Based on the resting‐state functional MRI data of discovery (145 MDD patients and 119 healthy controls [HCs]) and validation cohorts (54 MDD patients, and 78 HCs), we compared the WM‐IVFC between the two groups. We further assessed the meta‐analytic cognitive functions related to the alterations. The discriminant WM‐IVFC values were used to classify MDD patients and predict clinical symptoms in patients. In combination with the Allen Human Brain Atlas, transcriptome‐neuroimaging association analyses were further conducted to investigate gene expression profiles associated with WM‐IVFC alterations in MDD, followed by a set of gene functional characteristic analyses. We found extensive WM‐IVFC alterations in MDD compared to HCs, which were associated with multiple behavioral domains, including sensorimotor processes and higher‐order functions. The discriminant WM‐IVFC could not only effectively distinguish MDD patients from HCs with an area under curve ranging from 0.889 to 0.901 across three classifiers, but significantly predict depression severity (r = 0.575, p = 0.002) and suicide risk (r = 0.384, p = 0.040) in patients. Furthermore, the variability‐related genes were enriched for synapse, neuronal system, and ion channel, and predominantly expressed in excitatory and inhibitory neurons. Our results obtained good reproducibility in the validation cohort. These findings revealed intersubject functional variability changes of brain WM in MDD and its linkage with gene expression profiles, providing potential implications for understanding the high clinical heterogeneity of MDD. [ABSTRACT FROM AUTHOR]

Cell cycle dysregulation is a defining feature of breast cancer. Here, 1‐methyl‐nicotinamide (1‐MNA), metabolite of nicotinamide N‐methyltransferase(NNMT) is identified, as a novel driver of cell‐cycle progression in breast cancer. NNMT, highly expressed in breast cancer tissues, positively correlates with tumor grade, TNM stage, Ki‐67 index, and tumor size. Ablation of NNMT expression dramatically suppresses cell proliferation and causes cell‐cycle arrest in G0/G1 phase. This phenomenon predominantly stems from the targeted action of 1‐MNA, resulting in a specific down‐regulation of p27 protein expression. Mechanistically, 1‐MNA expedites the degradation of p27 proteins by enhancing cullin‐1 neddylation, crucial for the activation of Cullin‐1‐RING E3 ubiquitin ligase(CRL1)—an E3 ubiquitin ligase targeting p27 proteins. NNMT/1‐MNA specifically up‐regulates the expression of UBC12, an E2 NEDD8‐conjugating enzyme required for cullin‐1 neddylation. 1‐MNA showes high binding affinity to UBC12, extending the half‐life of UBC12 proteins via preventing their localization to lysosome for degradation. Therefore, 1‐MNA is a bioactive metabolite that promotes breast cancer progression by reinforcing neddylation pathway‐mediated p27 degradation. The study unveils the link between NNMT enzymatic activity with cell‐cycle progression, indicating that 1‐MNA may be involved in the remodeling of tumor microenvironment. [ABSTRACT FROM AUTHOR]

The Shuangyuangou copper deposit is located in the southern segment of the Qinling orogenic belt in central China. The ore‐related intrusions include quartz diorite porphyry, granite porphyry and lamprophyre. In this study, we present whole‐rock geochemistry, zircon U–Pb geochronology, trace elements and Lu–Hf isotope data on the Shuangyuangou intrusions which provide critical constraints on the emplacement age, magma origin, petrogenesis and implications for porphyry Cu mineralization in this newly discovered deposit. Zircon U–Pb dating constrains the emplacement age of quartz diorite porphyry, lamprophyre and granite porphyry at 150–147 Ma. The quartz diorite porphyry and granite porphyry display high‐K calc–alkaline I‐type granite affiliation. The rocks show enrichment of LREE and LILE (Rb, Ba), depletion in HREE and HFSE (Nb, Ta, Ti) and absence of Eu anomaly. Zircon εHf(t) values of quartz diorite porphyry, lamprophyre and granite porphyry range from −7.5 to −1.7 with TDM2 ages of 1.3–1.6 Ga. Our data suggest that the parental magma was derived from partial melting of juvenile lower crust and metasomatic lithospheric mantle, with more involvement of mantle material for the lamprophyre. The zircon Eu/Eu* values of 0.55–0.78 suggest high magmatic water content which suppresses the fractionation of plagioclase. In addition, the ΔFMQ values calculated from zircon trace elements range from −0.90 to 2.96 which is a favourable factor for porphyry Cu mineralization at Shuangyuangou. The Late Jurassic Shuangyuangou intrusion and associated Cu mineralization were formed within an intracontinental setting after the collisional assembly of the Qinling orogenic belt. [ABSTRACT FROM AUTHOR]

The demand of biosurfactants is increasing. It is of great significance to obtain nonpathogenic and high‐yielding microorganisms for the industrial‐scale production of biosurfactants. A biosurfactant‐producing strain SL9 was isolated from oily sludge. It was identified as Bacillus tequilensis based on colonial morphology and 16S rDNA sequence analysis. The biosurfactants produced by strain SL9 was extracted by modified acid precipitation method. A mixture of C12, C13, C14 and C15 surfactin homologues was detected based on HPLC–MS analysis. The optimum production of biosurfactants occurs at pH 7.0 and in the presence of 1.0 g/L NaCl. The optimal carbon source and nitrogen source were 40.0 g/L sucrose and 4.0 g/L NaNO3, respectively. The maximum yield of biosurfactants from strain SL9 was up to 1332.68 mg/L. Interestingly, B. tequilensis SL9 can rapidly synthesize biosurfactants with a yield of 739.36 mg/L in 12 h. The extracted biosurfactants reduced the surface tension of water from 72.1 to 27.5 mN/m with a CMC of 33 mg/L. The biosurfactants can also emulsify paraffin with a EI24 value of 57.58% and keep this good emulsifying activity after 96 h. The produced biosurfactants showed antimicrobial activities against Staphylococcus aureus, Cladosporium sp. and Alternaria sp. with inhibitory rate of 75.67%, 59.07% and 22.91%, respectively. The isolated strain B. tequilensis SL9 can be a nonpathogenic producer for rapid biosynthesis of biosurfactants with a relative high yield. Strain SL9 and its biosurfactant products are promising for application in the oil exploration, bioremediation, agricultural biocontrol, and pharmaceutical industries. [ABSTRACT FROM AUTHOR]

Mastitis is among the main factors affecting milk quality and yield. Although DNA methylation is associated with mastitis, its role in mastitis remains unclear. In this study, a bovine mastitis mammary epithelial cells (BMMECs) model was established via Staphylococcus aureus infection of bovine mammary gland epithelial cells (BMECs). Bisulfite sequencing PCR was used to determine the methylation status of the AKT1 promoter in BMMECs. We found that the degree of the AKT1 promoter methylation in BMMECs was significantly greater than that in BMECs, and the expression levels of genes related to milk protein synthesis were significantly decreased. We used the pdCas9‐C‐Tet1‐SgRNA 2.0 system to regulate the methylation status of the AKT1 promoter. High‐efficiency sgRNAs were screened and dCas9‐guided AKT1 promoter demethylation vectors were constructed. Following transfection with the vectors, the degree of methylation of the AKT1 promoter was significantly reduced in BMMECs, while AKT1 protein levels increased. When the methylation level of the AKT1 promoter decreased, the synthesis of milk proteins and the expression levels of genes related to milk protein synthesis increased significantly. The viability of the BMMECs was enhanced. Taken together, these results indicate that demethylation guided by the pdCas9‐C‐Tet1‐SgRNA 2.0 system on the AKT1 promoter can reactivate the expression of AKT1 and AKT1/mTOR signaling pathway‐related proteins by reducing the AKT1 promoter methylation level and promoting the recovery milk protein expression in BMMECs, thereby alleviating the symptoms of mastitis. [ABSTRACT FROM AUTHOR]

The current study provides the first review of alizarin, a natural dye, in terms of its historical aspects and its potential for functional applications in textiles. The review begins with a brief overview of natural alizarin and its occurrence in Rubiaceae family plants, followed by a discussion of alizarin acquisition from its botanical sources through conventional and advanced extraction methods. A special emphasis of this study is on the identification of natural alizarin colourants in archaeological and cultural textiles by using analytical methods based on reflectance, Raman spectroscopy, mass spectrometry and chromatographic profiles. In addition, the functional properties of natural alizarin, including its antimicrobial activity, anti‐oxidant activity, insect repellence and ultraviolet protection, are analysed. This paper summarises the methods for obtaining alizarin for coloration, as well as advanced techniques for detecting alizarin in historical textiles, and potential applications of natural alizarin as a functional textile dye. [ABSTRACT FROM AUTHOR]

Total neointima implantation (patch neointima technique + triple‐branched stent graft placement) has been performed in proximal aortic repair for acute type A aortic dissection (ATAAD) for more than 10 years at a center. However, there is no report on the mid‐term outcomes with a control group of the surgical procedure. Consequently, the authors aimed to evaluate the safety and efficacy of this technique in this study. Patients who underwent the total neointima implantation were classified as Group A, and those who underwent the conventional aortic root reconstruction with the "sandwich" technique and the total aortic arch replacement were classified as Group B. Furthermore, the authors described the preoperative characteristics, operative data, and patient outcomes. Group A patients experienced a shorter surgery duration, lower volumes of perioperative bleeding, and fewer red blood cell transfusions. The incidence of neurological complications was significantly reduced in Group A. All patients maintained a normal range of proximal aortic sizes after surgery. Kaplan–Meier analysis revealed no significant differences between the patients in the two groups regarding cumulative mortality and the incidence of moderate‐to‐severe aortic insufficiency. In well‐selected patients, total neointima implantation is an alternative procedure for the surgical repair of ATAAD. [ABSTRACT FROM AUTHOR]

Monitoring the real‐time quality and validity of thermo‐sensitive foods during storage and transportation can be achieved with time‐temperature indicators (TTIs). However, the available TTIs still need to be improved in terms of accuracy, recoverability, environmental tolerance, and quantitative monitoring. Here, a novel TTI based on the optical signals originating from the as‐explored Sr3Y2Ge3O12: Mn2+, Er3+ (SYGO: Mn2+, Er3+) phosphor is developed. Thanks to the fact that the release of the captured carriers is tightly related to the storage time and ambient temperature, distinct optical signals of the as‐obtained TTI under multi‐stimulus (980 nm laser irradiation, thermal stimulation, and mechanical force) can be distinguished to judge the validity of temperature‐sensitive products. This work reveals the promising potential of SYGO: Mn2+, Er3+ phosphors with cryogenic optical storage properties as advanced TTIs, especially for packaged products in cold chain logistics. [ABSTRACT FROM AUTHOR]

The efficient decomposition of ammonia to produce COx‐free hydrogen at low temperatures has been extensively investigated as a potential method for supplying hydrogen to mobile devices based on fuel cells. In this study, we employed dielectric barrier discharge (DBD) plasma, a non‐thermal plasma, to enhance the catalytic ammonia decomposition over supported Ru catalysts (Ru/Y2O3, Ru/La2O3, Ru/CeO2 and Ru/SiO2). The plasma‐catalytic reactivity of Ru/La2O3 was found to be superior to that of the other three catalysts. It was observed that both the physicochemical properties of the catalyst (such as support acidity) and the plasma discharge behaviours exerted significant influence on plasma‐catalytic reactivity. Combining plasma with a Ru catalyst significantly enhanced ammonia conversion at low temperatures, achieving near complete NH3 conversion over the 1.5 %‐Ru/La2O3 catalyst at temperatures as low as 380 °C. Under a weight gas hourly space velocity of 2400 mL gcat−1 h−1 and an AC supply power of 20 W, the H2 formation rate and energy efficiency achieved were 10.7 mol gRu−1 h−1 and 535 mol gRu−1 (kWh)−1, respectively, using a 1.5 %‐Ru/La2O3 catalyst. [ABSTRACT FROM AUTHOR]

Conventional I–f startup control algorithms often lead to significant speed fluctuations, extended convergence times, and sluggish dynamic responses when the motor is working at the acceleration process. To address these challenges, the article constructs a discrete kinetic model of the motor, extracts and summarizes the change law of the motor torque angle fluctuation amplitude and frequency with the motor parameters and the reference current vector during I–f starting process based on the Runge–Kutta method, reveals the fundamental mechanism of the pole slipping of the I–f control. On this basis, the article proposes a closed‐loop I–f starting control strategy for high‐speed permanent magnet motors based on current vector adaptive regulation, The strategy notably improves speed tracking performance and current dynamic response to I–f startup control. Experimental results validate the efficacy of the proposed algorithm. [ABSTRACT FROM AUTHOR]

Facial expression is closely related to the emotions of drivers, thus facilitating safe driving detection in advanced driving assistance system (ADAS). Recently, deep learning techniques have become prevalent for facial expression recognition. However, for driving scenarios, the facial expression recognition is mainly challenged by the problems of small sample size as well as effective feature representation. To address the above issues, this paper puts forward a transfer learning‐based method for driver facial expression recognition by fully exploiting the other sources of facial expression data that may obey different distributions. Specifically, an enhanced feature attention module is firstly devised such that affluent features with multi‐scales can be extracted and refined based on the spatial and channel attention mechanisms. Then, a joint correlation alignment loss is presented ensuring that the samples in the source and target domains are transformed into the shared common subspace to reduce difference of both the marginal and conditional distributions. Multiple transfer learning tasks on real‐world data are carried out to evaluate the proposed method. The experimental results show that our model achieves better recognition accuracy for driver facial expression compared with several traditional and deep learning‐based transfer learning algorithms. [ABSTRACT FROM AUTHOR]

The purposes of this study were to develop and validate a nomogram for predicting postoperative transient neurological dysfunctions (TND) in patients with acute type A aortic dissection (AAAD) who underwent modified triple‐branched stent graft implantation. This retrospective study developed a nomogram‐based model in a consecutive cohort of 146 patients. Patient characteristics, preoperative clinical indices, and operative data were analyzed. Univariate and multivariable analyses were applied to identify the most useful predictive variables for constructing the nomogram. Discrimination and the calibration of the model was evaluated through the receiver operating characteristic curve (ROC), the Hosmer–Lemeshow goodness‐of‐fit test and the decision curve analysis (DCA). At the same time, to identify and compare long‐term cumulative survival rate, Kaplan‐Meier survival curve was plotted. The incidence rate of postoperative TND observed in our cohort were 40.9%. Supra‐aortic dissection with or without thrombosis, creatinine >115 μmol and albumin <39.7 g/L, selective antegrade cerebral perfusion (SACP) time >7 min and total operation time >303 min, were confirmed as independent predictors that enhanced the likelihood of TND. Internal validation showed good discrimination of the model with under the ROC curve (AUC) of 0.818 and good calibration (Hosmer–Lemeshow test, p >.05). DCA revealed that the nomogram was clinically useful. In the long‐term survival there was no significant difference between patients with or without TND history. The results showed the predict model based on readily available predictors has sufficient validity to identify TND risk in this population, that maybe useful for clinical decision‐making. [ABSTRACT FROM AUTHOR]

Evaluating the accuracy of pulmonary nodule diagnosis avoids repeated low‐dose computed tomography (LDCT)/CT scans or invasive examination, yet remains a main clinical challenge. Screening for new diagnostic tools is urgent. Herein, we established a nomogram based on the diagnostic signature of five circulating tsRNAs and CT information to predict malignant pulmonary nodules. In total, 249 blood samples of patients with pulmonary nodules were selected from three different lung cancer centers. Five tsRNAs were identified in the discovery and training cohorts and the diagnostic signature was established by the randomForest algorithm (tRF‐Ser‐TGA‐003, tRF‐Val‐CAC‐005, tRF‐Ala‐AGC‐060, tRF‐Val‐CAC‐024, and tiRNA‐Gln‐TTG‐001). A nomogram was developed by combining tsRNA signature and CT information. The high level of accuracy was identified in an internal validation cohort (n = 83, area under the receiver operating characteristic curve [AUC] = 0.930, sensitivity 100.0%, specificity 73.8%) and external validation cohort (n = 66, AUC = 0.943, sensitivity 100.0%, specificity 86.8%). Furthermore, the diagnostic ability of our model discriminating invasive malignant ones from noninvasive lesions was assessed. A robust performance was achieved in the diagnosis of invasive malignant lesions in both training and validation cohorts (discovery cohort: AUC = 0.850, sensitivity 86.0%, specificity 81.4%; internal validation cohort: AUC = 0.784, sensitivity 78.8%, specificity 78.1%; and external validation cohort: AUC = 0.837, sensitivity 85.7%, specificity 84.0%). This novel circulating tsRNA‐based diagnostic model has potential significance in predicting malignant pulmonary nodules. Application of the model could improve the accuracy of pulmonary nodule diagnosis and optimize surgical plans. [ABSTRACT FROM AUTHOR]

Mechanoluminescence (ML) materials are capable of converting applied stress into luminescent signals, and offer fascinating potential applications in biomedicine, safety testing, structural diagnosis, and mechanical sensing. Color‐responsive ML sensing, combined with quantitative evaluation of loaded stress, is preferred for visual description and sensing reliability. In this work, Yb2+ and Mn2+ ions co‐doped MgF2 with a fascinating ratiometric ML performance are successfully explored. ML color can be manipulated based on the distinct stress‐dependent ML intensity of the activators. Furthermore, a self‐activated orange persistent ML is observed even after the removal of the mechanics stimuli, allowing a delayed stress sensing with the memorized optical signals. Accordingly, a visualized stress sensing with the as‐explored ML composites using the ultraviolet curing 3D printing technique is demonstrated for structural mechanics. Herein, a feasible optical description of the loaded stress distribution in space for objects free from concerns with dimensions and geometrical shapes can be realized, benefiting the study of 3D structural mechanics, especially for complex structures. [ABSTRACT FROM AUTHOR]

Resurfacing perovskite nanocrystals (NCs) with tight‐binding and conductive ligands to resolve the dynamic ligands—surface interaction is the fundamental issue for their applications in perovskite light‐emitting diodes (PeLEDs). Although various types of surface ligands have been proposed, these ligands either exhibit weak Lewis acid/base interactions or need high polar solvents for dissolution and passivation, resulting in a compromise in the efficiency and stability of PeLEDs. Herein, we report a chemically reactive agent (Iodotrimethylsilane, TMIS) to address the trade‐off among conductivity, solubility and passivation using all‐inorganic CsPbI3 NCs. The liquid TMIS ensures good solubility in non‐polar solvents and reacts with oleate ligands and produces in situ HI for surface etching and passivation, enabling strong‐binding ligands on the NCs surface. We report, as a result, red PeLEDs with an external quantum efficiency (EQE) of ≈23 %, which is 11.2‐fold higher than the control, and is among the highest CsPbI3 PeLEDs. We further demonstrate the universality of this ligand strategy in the pure bromide system (CsPbBr3), and report EQE of ≈20 % at 640, 652, and 664 nm. This represents the first demonstration of a chemically reactive ligand strategy that applies to different systems and works effectively in red PeLEDs spanning emission from pure‐red to deep‐red. [ABSTRACT FROM AUTHOR]

Background: Previous studies have found qualitative structural and functional brain changes in major depressive disorder (MDD) patients. However, most studies ignored the complementarity of multisequence MRI neuroimaging features and cannot determine accurate biomarkers. Purpose: To evaluate machine‐learning models combined with multisequence MRI neuroimaging features to diagnose patients with MDD. Study Type: Prospective. Subjects: A training cohort including 111 patients and 90 healthy controls (HCs) and a test cohort including 28 patients and 22 HCs. Field Strength/Sequence: A 3.0 T/T1‐weighted imaging, resting‐state functional MRI with echo‐planar sequence, and single‐shot echo‐planar diffusion tensor imaging. Assessment: Recruitment and integration were used to reflect the dynamic changes of functional networks, while gray matter volume and fractional anisotropy were used to reflect the changes in the morphological and anatomical network. We then fused features with significant differences in functional, morphological, and anatomical networks to evaluate a random forest (RF) classifier to diagnose patients with MDD. Furthermore, a support vector machine (SVM) classifier was used to verify the stability of neuroimaging features. Linear regression analyses were conducted to investigate the relationships among multisequence neuroimaging features and the suicide risk of patients. Statistical Tests: The comparison of functional network attributes between patients and controls by two‐sample t‐test. Network‐based statistical analysis was used to identify structural and anatomical connectivity changes between MDD and HCs. The performance of the model was evaluated by receiver operating characteristic (ROC) curves. Results: The performance of the RF model integrating multisequence neuroimaging features in the diagnosis of depression was significantly improved, with an AUC of 93.6%. In addition, we found that multisequence neuroimaging features could accurately predict suicide risk in patients with MDD (r = 0.691). Data Conclusion: The RF model fusing functional, morphological, and anatomical network features performed well in diagnosing patients with MDD and provided important insights into the pathological mechanisms of MDD. Evidence Level: 1. Technical Efficacy: Stage 2. [ABSTRACT FROM AUTHOR]

Key Clinical Message: Acute thrombus formation on the delivery sheath is rare condition during percutaneous left atrial appendage occlusion. We presented two cases that transesophageal echocardiography (TEE) showed a floating thrombus attached to the tip of delivery sheath during the procedure. Cerebral embolic protection devices were used to prevent neurological events after thrombus was detected. The neurological function was not impaired post‐procedure. [ABSTRACT FROM AUTHOR]

Marine picophytoplankton plays a major role in marine cycling and energy conversion, and its effects on the carbon cycle and global climate change have been well documented. In this study, we investigated the response of picophytoplankton across a broad range of physicochemical conditions in two distinct regions of the tropical western Pacific. Our analysis considered the abundance, carbon biomass, size fraction, distribution, and regulatory factors of the picophytoplankton community, which included the cyanobacteria Prochlorococcus and Synechococcus, and small eukaryotic phytoplankton (picoeukaryotes). The first region was a latitudinal transect along the equator (142–163° E, 0° N), characterized by stratified oligotrophic conditions. The second region was a meridional transect (143° E, 0–22° N) known for its high‐nutrient and low‐chlorophyll (HNLC) conditions. Results showed that picophytoplankton contributed >80% of the chlorophyll a (Chl a), and was mainly distributed above 100 m. Prochlorococcus was the dominant organism in terms of cell abundance and estimated carbon biomass in both latitudinal and meridional transects, followed by Synechococcus and picoeukaryotes. In the warm pool, Prochlorococcus was primarily distributed below the isothermal layer, with the maximum subsurface abundance forming below it. The maximum Synechococcus abundance was restricted to the west‐warm pool, due to the high temperature, and the second‐highest Synechococcus abundance was associated with frontal interaction between the east‐warm pool and the westward advance of Middle East Pacific water. In contrast, picoeukaryotes formed a maximum subsurface abundance corresponding to the subsurface Chl a maximum. In the mixed HNLC waters, the cell abundance and biomass of the three picophytoplankton groups were slightly lower than those in the warm pool. Due to a cyclonic eddy, the contours of the maximum subsurface Prochlorococcus abundance were uplifted, evidently with a lower value than the surrounding water. Synechococcus abundance varied greatly in patches, forming a weakly high subsurface peak when the isothermal layer rose to the near‐surface (<50 m). The subsurface maximum picoeukaryote abundance was also highly consistent with that of the subsurface Chl a maximum. Correlation analysis and generalized additive models of environmental factors showed that nutrient availability had a two‐faceted role in regulating the spatial patterns of picophytoplankton in diverse latitudinal and meridional environments. We concluded through regression that temperature and light irradiance were the key determinants of picophytoplankton variability in the tropical western Pacific. This study provides insights into the changing picophytoplankton community structure with potential future changing hydroclimatic force. [ABSTRACT FROM AUTHOR]