Search

To effectively enhance the ability to acquire information by making full use of the complementary features of infrared and visible images, the widely used image fusion algorithm is faced with challenges such as information loss and image blurring. In response to this issue, the authors propose a dual‐branch deep hierarchical fusion network (ADF‐Net) guided by an attention mechanism. Initially, the attention convolution module extracts the shallow features of the image. Subsequently, a dual‐branch deep decomposition feature extractor is introduced, where in the transformer encoder block (TEB) employs remote attention to process low‐frequency global features, while the CNN encoder block (CEB) extracts high‐frequency local information. Ultimately, the global fusion layer based on TEB and the local fusion layer based on CEB produce the fused image through the encoder. Multiple experiments demonstrate that ADF‐Net excels in various aspects by utilizing two‐stage training and an appropriate loss function for training and testing. [ABSTRACT FROM AUTHOR]

This study investigated the ability of a sarcopenia screening test to predict mortality among cancer inpatients. We conducted a prospective study of patients admitted to the oncology ward of a teaching hospital in southern Taiwan. Over a 5‐month period, 82 patients were enrolled for evaluation and were followed for 3 years. All participants received a comprehensive assessment at the time of admission, including Eastern Cooperative Oncology Group (ECOG) performance status, cognitive ability, nutrition index, body mass index, and short physical performance battery (SPPB). Age, ECOG performance status, dementia, SPPB score, and albumin level were associated with sarcopenia. Of the enrolled participants, 53 (64.6%) were diagnosed with sarcopenia. Patients with sarcopenia were associated with worse overall survival (OS) than patients without sarcopenia (28.8% vs. 82%, p = 0.01). Metastasis (hazard ratio [HR]: 5.166; 95% confidence interval [CI]: 1.358–19.656) and albumin level (HR: 4.346; 95% CI: 1.493–12.654) were independent and significant predictors of OS for the whole study population. Age was a predictor of 2‐year all‐cause mortality among patients aged ≥65 years but not among those aged <65 years (OS: 25.6% vs. 100%, p = 0.04). To summarize, the sarcopenia screening results were found to predict OS and all‐cause mortality and may be helpful for patient stratification during in‐hospital care. [ABSTRACT FROM AUTHOR]

This article discusses a recent study that examined the oral microbiome and its connection to periodontitis, a common dental condition that can have various health implications. The researchers analyzed data from multiple cohorts in different countries and continents to identify biomarkers for periodontitis. They found that certain species of bacteria and metabolic biomarkers consistently differed between healthy individuals and those with periodontitis. Machine learning models based on taxonomic profiles were able to accurately distinguish periodontitis patients from controls. The study suggests that metagenome-based diagnosis for periodontitis is possible and could lead to improved diagnostic and treatment approaches. However, further research and larger cohorts are needed to validate these findings. [Extracted from the article]

Objective: Neuromyelitis optica spectrum disorders (NMOSD) are rare inflammatory astrocytic diseases of the central nervous system (CNS). The roles of immune response gene‐1 (IRG1) and the IRG1–itaconic acid–NLRP3 inflammatory pathway in the pathogenesis of NMOSD and the effects of 4‐octyl itaconate (4‐OI) on the NLRP3 inflammatory pathway in NMOSD are unclear. This study aimed to determine the role of IRG1 and the activation status of the NLRP3 inflammatory pathway in acute‐onset NMOSD and to investigate the inhibitory effects of 4‐OI on NLRP3 inflammasome activation via the IRG1–itaconic acid–NLRP3 pathway in monocytes and macrophages by using in vitro models. Methods: Peripheral blood mononuclear cells (PBMCs) and serum were collected from patients with acute NMOSDs and healthy controls (HC), followed by monocyte typing and detection of the expression of NLRP3‐related inflammatory factors. Subsequently, the effects of 4‐OI on the IRG1–itaconic acid–NLRP3 pathway were investigated in peripheral monocytes from patients with NMOSD and in macrophages induced by human myeloid leukemia mononuclear cells (THP‐1 cells) via in vitro experiments. Results: Patients with acute NMOSD exhibited upregulated IRG1 expression. In particular, the upregulation of the expression of the NLRP3 inflammasome and proinflammatory factors was notable in monocytes in acute NMOSD patients. 4‐OI inhibited the activation of the IRG1–itaconic acid–NLRP3 inflammatory pathway in the PBMCs of patients with NMOSD. Interpretation: 4‐OI could effectively inhibit NLRP3 signaling, leading to the inhibition of proinflammatory cytokine production in patients with NMOSD‐derived PBMCs and in a human macrophage model. Thus, 4‐OI and itaconate could have important therapeutic value for the treatment of NMOSD in the future. [ABSTRACT FROM AUTHOR]

Background: To find the factors impacting overall survival (OS) prognosis in patients with endometrioid endometrial carcinoma (EEC) and adenocarcinoma and to establish a nomogram model to validate the 2023 International Federation of Obstetrics and Gynecology (FIGO) staging system for endometrial cancer. Methods: Data were obtained from the Surveillance, Epidemiology, and End Results (SEER) training cohort. An independent validation cohort was obtained from the First Affiliated Hospital of Anhui Medical University between 2008 and 2023. Cox regression analysis identified independent prognostic factors for OS in EEC and adenocarcinoma patients. A nomogram predicting OS was developed and validated utilizing the C‐index, calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). The relationship between the tumor grade and prognosis of EEC and adenocarcinoma was quantified using net reclassification improvement (NRI), propensity score matching (PSM), and Kaplan–Meier curves. Results: Cox regression analysis identified age, race, marital status, tumor grade, tumor stage, tumor size, and chemotherapy as independent prognostic factors for OS. A nomogram for predicting OS was developed based on these factors. The C‐indexes for the OS nomogram was 0.743 and 0.720 for the SEER training set and external validation set, respectively. The area under the ROC (AUC) for the OS nomogram was 0.755, 0.757, and 0.741 for the SEER data subsets and 0.844, 0.719, and 0.743 for the external validation subsets. Calibration plots showed high concordance between the nomogram‐predicted and observed OS. DCA also demonstrated the clinical utility of the OS nomogram. NRI, PSM, and survival analyses revealed that tumor grade was the most important histopathological factor for EEC and adenocarcinoma prognosis. Conclusion: Seven independent prognostic variables for the OS of patients with EEC and adenocarcinoma were identified. The established OS nomogram has good predictive ability and clinical utility and validates the 2023 endometrial cancer FIGO staging system. [ABSTRACT FROM AUTHOR]

The rational design of Z‐scheme heterojunction photosystems based on covalent organic frameworks (COFs) is a promising strategy for harnessing solar energy for hydrogen conversion. Herein, a direct Z‐scheme single‐atom photocatalyst based on COF and metal‐organic ring has been constructed through the supramolecular interactions of coral‐like COF (S‐COF) and photosensitized Pd2L2 type metal‐organic ring (MAC‐FA1). The MAC‐FA1/S‐COF heterojunction exhibits good light absorption, efficient charge separation and transfer, slow electron‐hole recombination, and highly dispersed Pd active sites, enabling an efficient and stable H2 evolution reaction. The optimized 4% MAC‐FA1/S‐COF achieves an H2 evolution rate of 100 mmol g−1 h−1 within 5 h and obtains a total accumulated turn‐over number relative to Pd (TONPd) of 437,685 within 20 h, far superior to S‐COF, MAC‐FA1, M‐5/S‐COF, Pd/S‐COF, and M‐5/Pd/S‐COF, which is one of the highest records among COF‐based photocatalysts for solar‐driven H2 evolution. This is the first work to incorporate photosensitized metal‐organic rings/cages into porous crystalline COFs to form a supramolecular Z‐scheme heterojunction, which has significant potential as a high‐performance photocatalyst for solar‐driven H2 production. [ABSTRACT FROM AUTHOR]

This article explores the effects of different oral antidiabetic drugs (OADs) on the gut microbiota in patients with type 2 diabetes (T2D). The study found that acarbose and berberine had significant impacts on the gut microbiota, while metformin, vildagliptin, and glipizide did not. The baseline gut microbiota was found to be associated with the response to OAD treatment. However, the study acknowledges that there are variations in the reported gut microbial alterations due to factors such as ethnicity, sample size, and methodology. Further research is needed to fully understand the interactions between OADs and the gut microbiota and their potential impact on drug efficacy. [Extracted from the article]

Structural features are capable of effectively capturing the overall texture variations in images. However, in locally prominent areas with visible veins, other characteristics such as directionality, convexity–concavity, and curvature also play a crucial role in recognition, and their impact cannot be overlooked. This paper introduces a novel approach, the histogram of variable curvature directional binary statistical (HVCDBS), which combines the structural and directional features of images. The proposed method is designed for extracting discriminative multifeature information in vein recognition. First, a multidirection and multicurvature Gabor filter is introduced for convolution with vein images, yielding directional and convexity–concavity information at each pixel, along with curvature information for the corresponding curve. Simultaneously incorporating the original image feature information, these four aspects of information are fused and encoded to construct a variable curvature binary pattern (VCBP) with multifeatures. Second, the feature map containing multifeature information is blockwise processed to build variable curvature binary statistical features. Finally, competitive Gabor directional binary statistical features are combined, and a matching score‐level fusion scheme is employed based on maximizing the interclass distance and minimizing the intraclass distance to determine the optimal weights. This process fuses the two feature maps into a one‐dimensional feature vector, achieving an effective representation of vein images. Extensive experiments were conducted on four widely utilized vein databases, and the results indicate that the proposed algorithm, compared with solely extraction of structural features, achieved higher recognition rates and lower equal error rates. [ABSTRACT FROM AUTHOR]

A thermally coupled distillation technology can bring energy‐saving benefits, but it poses challenges to process control. This article explores dynamic control of different side‐stream quaternary extractive distillation configurations. One the one hand, the open‐loop controllability of these processes is analyzed in terms of various criteria by the control design interface technology of Aspen Plus Dynamics. On the other hand, their control structures are established and examined by introducing large feed flow and composition perturbations. The results show that the triple‐side‐stream distillation still performs the best state and input–output controllability in spite of the strongest nonlinearity, and is also well resistant to large feed perturbations using a simple control structure. [ABSTRACT FROM AUTHOR]

The public's perception of the nursing image deeply influences nurses' work and professional development. However, the Taiwanese public's perception of nursing remains unclear. This study aimed to determine the validity and reliability of a Chinese version of the Nursing Image Scale (NIS) in Taiwan. This was a psychometric study using a cross‐sectional survey. Participants were recruited via the snowball sampling method through the online community software LINE from August 1 to 13, 2019. After data collection, the construction and validation of the NIS to measure public opinion were assessed, including content validity, corrected item‐total correlation, exploratory factor analysis (EFA), and reliability. A total of 1331 valid responses were included in the analysis. After EFA analysis, the 20 scale items were divided across the four domains of prudence and care, innovation and cooperation, efficiency and division, and professionalism and respect. The NIS (Chinese version) was valid and reliable for measuring public opinion and may be used to examine changes in public perceptions of nursing. [ABSTRACT FROM AUTHOR]

Posttransplantation complications pose a major challenge to the long‐term survival and quality of life of organ transplant recipients. These complications encompass immune‐mediated complications, infectious complications, metabolic complications, and malignancies, with each type influenced by various risk factors and pathological mechanisms. The molecular mechanisms underlying posttransplantation complications involve a complex interplay of immunological, metabolic, and oncogenic processes, including innate and adaptive immune activation, immunosuppressant side effects, and viral reactivation. Here, we provide a comprehensive overview of the clinical features, risk factors, and molecular mechanisms of major posttransplantation complications. We systematically summarize the current understanding of the immunological basis of allograft rejection and graft‐versus‐host disease, the metabolic dysregulation associated with immunosuppressive agents, and the role of oncogenic viruses in posttransplantation malignancies. Furthermore, we discuss potential prevention and intervention strategies based on these mechanistic insights, highlighting the importance of optimizing immunosuppressive regimens, enhancing infection prophylaxis, and implementing targeted therapies. We also emphasize the need for future research to develop individualized complication control strategies under the guidance of precision medicine, ultimately improving the prognosis and quality of life of transplant recipients. [ABSTRACT FROM AUTHOR]

Transformation of carbon dioxide and nitrate ions into urea offers an attractive route for both nitrogen fertilizer production and environmental remediation. However, achieving this transformation under mild conditions remains challenging. Herein, we report an efficient photoelectrochemical method for urea synthesis by co‐reduction of carbon dioxide and nitrate ion over a Cu2O photocathode, delivering urea formation rate of 29.71±2.20 μmol g−1 h−1 and Faradaic efficiency (FE) of 12.90±1.15 % at low external potential (−0.017 V vs. reversible hydrogen electrode). Experimental data combined with theoretical calculations suggest that the adsorbed CO* and NO2* species are the key intermediates, and associated C−N coupling is the rate‐determining step. This work demonstrates that Cu2O is an efficient catalyst to drive co‐reduction of CO2 and NO3− to urea under light irradiation with low external potential, showing great opportunity of photoelectrocatalysis as a sustainable tool for value‐added chemical synthesis. [ABSTRACT FROM AUTHOR]

Cadmium (Cd) is a neurotoxic contaminant that induces cognitive decline similar to that observed in Alzheimer's disease (AD). Autophagic flux dysfunction is attributed to the pathogenesis of AD, and this study aimed to investigate the effect of autophagy on environmental Cd‐induced AD progression and the underlying mechanism. Here, Cd exposure inhibited autophagosome‐lysosome fusion and impaired lysosomal function, leading to defects in autophagic clearance and then to APP accumulation and nerve cell death. Proteomic analysis coupled with Ingenuity Pathway Analysis (IPA) identified SIRT5 as an essential molecular target in Cd‐impaired autophagic flux. Mechanistically, Cd exposure hampered the expression of SIRT5, thus increasing the succinylation of RAB7A at lysine 31 and inhibiting RAB7A activity, which contributed to autophagic flux blockade. Importantly, SIRT5 overexpression led to the restoration of autophagic flux blockade, the alleviation of Aβ deposition and memory deficits, and the desuccinylation of RAB7A in Cd‐exposed FAD4T mice. Additionally, SIRT5 levels decrease mainly in neurons but not in other cell clusters in the brains of AD patients according to single‐nucleus RNA sequencing data from the public dataset GSE188545. This study reveals that SIRT5‐catalysed RAB7A desuccinylation is an essential adaptive mechanism for the amelioration of Cd‐induced autophagic flux blockade and AD‐like pathogenesis. [ABSTRACT FROM AUTHOR]

With the rapid development of the maritime industry, oily wastewater discharges and oil spills cause acute environmental challenges. Currently, cellulosic materials with switchable wettability have received increasing interest for oil–water separation. Moreover, work efficiency needs to be improved with a shorter response time. To realize these, dimethylaminoethyl methacrylate (DMAEMA) and methyltrimethoxysilane (MTMS) synthesized pH‐responsive copolymer (DMAEMA‐co‐MTMS) which grafted banana nanocellulose fiber made from wasted pseudostem to achieve the pH‐responsive aerogel (BCNA‐DcoM). BCNA‐DcoM exhibited hydrophilic/submerged lipophobicity under acidic conditions and hydrophobic/lipophilic under alkaline conditions. A response time of 3 s and a contact angle of 135° were shown when the mass ratio of banana nanocellulose suspension, MTMS, and DMAEMA‐co‐MTMS was 5:3:9. Moreover, BCNA‐DcoM possessed favorable mechanical friction properties, salt resistance (25% NaCl), compression resilience (50 cycles of compression at 60% strain), switchable wettability (>30 cycles), and highly efficient separation performance (>96%). The adsorption capacity of BCNA‐DcoM for oil is 80–184 times the initial weight of the aerogel based on the different oil densities. For practical applications, BCNA‐DcoM could continuously separate oil–water mixtures with the constant‐flow pump. The present work provides more possibilities for rapidly treating industrial oily wastewater with low‐cost and ecological banana pseudostem materials. [ABSTRACT FROM AUTHOR]

Holographic femtosecond laser printing technology is widely used in the fabrication of micropatterns because of its high efficiency and flexibility. However, speckle noise and energy fluctuations limit the quality of the printed structure. In this study, an improved complex‐amplitude modulation holographic femtosecond laser printing method for high‐quality micropattern fabrication is proposed. The holographic light field is divided into a signal area and a surrounding noise area. To improve laser uniformity, phase modulation is applied in the signal region to eliminate the speckle noise caused by unconstrained phase interference, and weighted amplitude modulation is introduced in the signal area to improve the calculation accuracy. To precisely control laser energy density, weighted energy efficiency modulation is introduced in the noise region to disperse the energy that exceeds the material damage threshold. Under the synergistic control of laser uniformity and energy density, high‐quality micro‐pattern structures are printed efficiently. A high‐quality millimeter‐sized multifocal zone plate with micron accuracy is fabricated with the splicing printing method, demonstrating the potential of micropattern processing and the fabrication of functional devices such as binary optics. [ABSTRACT FROM AUTHOR]

Hydration‐induced shape‐morphing behavior has been discovered in many natural fiber‐based materials, yet this smart behavior in regenerated fibers from biopolymers lacks investigation. Here, hierarchically structured silk fibers are developed with anisotropic long‐range molecular organization and water‐responsive effects resembling natural spider silk. The regenerated silk fibers exhibit the water‐triggered shape‐memory effect and a water‐driven cyclic response. The reversible hydrogen bonds and transformation in the metastable secondary structure from α‐helices/random coils to β‐sheets are explored as the mechanisms responsible for the water‐responsiveness. The silk fibers obtained possess a tensile strength higher than 104 MPa at a fracture strain of ≈100%, showing noticeable toughness. The water‐responsive silk fibers exhibit a shape recovery rate of ∼83% and generate a maximum actuation stress of up to 18 MPa during the water‐driven cyclic contraction that outperforms most traditional natural textile fibers. The regenerated silk fibers show potential for use in water‐driven actuators, artificial muscle, and smart fabrics based on the integration of suitable mechanical properties and water responsiveness. [ABSTRACT FROM AUTHOR]

The development of neuromorphic optoelectronic systems opens up the possibility of the next generation of artificial vision. In this work, the novel broadband (from 365 to 940 nm) and multilevel storage optoelectronic synaptic thin‐film transistor (TFT) arrays are reported using the photosensitive conjugated polymer (poly[(9,9‐dioctylfluorenyl‐2,7‐diyl)‐co‐(bithiophene)], F8T2) sorted semiconducting single‐walled carbon nanotubes (sc‐SWCNTs) as channel materials. The broadband synaptic responses are inherited to absorption from both photosensitive F8T2 and sorted sc‐SWCNTs, and the excellent optoelectronic synaptic behaviors with 200 linearly increasing conductance states and long retention time > 103 s are attributed to the superior charge trapping at the AlOx dielectric layer grown by atomic layer deposition. Furthermore, the synaptic TFTs can achieve IOn/IOff ratios up to 106 and optoelectronic synaptic plasticity with the low power consumption (59 aJ per single pulse), which can simulate not only basic biological synaptic functions but also optical write and electrical erase, multilevel storage, and image recognition. Further, a novel Spiking Neural Network algorithm based on hardware characteristics is designed for the recognition task of Caltech 101 dataset and multiple features of the images are successfully extracted with higher accuracy (97.92%) of the recognition task from the multi‐frequency curves of the optoelectronic synaptic devices. [ABSTRACT FROM AUTHOR]

Thought control ability (TCA) plays an important role in individuals' health and happiness. Previous studies demonstrated that TCA was closely conceptually associated with happiness. However, empirical research supporting this relationship was limited. In addition, the neural basis underlying TCA and how this neural basis influences the relationship between TCA and happiness remain unexplored. In the present study, the voxel‐based morphometry (VBM) method was adopted to investigate the neuroanatomical basis of TCA in 314 healthy subjects. The behavioral results revealed a significant positive association between TCA and happiness. On the neural level, there was a significant negative correlation between TCA and the gray matter density (GMD) of the bilateral amygdala. Split‐half validation analysis revealed similar results, further confirming the stability of the VBM analysis findings. Furthermore, gray matter covariance network and graph theoretical analyses showed positive association between TCA and both the node degree and node strength of the amygdala. Moderation analysis revealed that the GMD of the amygdala moderated the relationship between TCA and happiness. Specifically, the positive association between TCA and self‐perceived happiness was stronger in subjects with a lower GMD of the amygdala. The present study indicated the neural basis underlying the association between TCA and happiness and offered a method of improving individual well‐being. [ABSTRACT FROM AUTHOR]

Taking a rear‐wheel drive pure electric vehicle as the research object, considering the safety during braking and improving energy recovery rate, a study was conducted on the distribution strategy of front and rear axle braking force. During the braking process, the feedback braking force of the motor and the hydraulic braking force with an electronic stability controller (ESC) were coordinated and controlled, to ensure that the total required braking force was met. A fuzzy logic controller has been designed, with three variables of battery state of charge, vehicle speed, and braking intensity as inputs, and a modified motor braking ratio as output variable to prevent wheel lockup. Using Cruise software, a co‐simulation model was established with Amesim and Simulink, and simulation validation was conducted on the braking process and cycling conditions. The simulation results showed that the brake recovery strategy based on fuzzy control can effectively improve the vehicle's control performance and energy recovery rate compared to the Economic Commission of Europe regulation. The NEDC (New European Driving Cycle) working condition improved by 10.41% and the CLTC‐P (China Light‐duty Vehicle Test Cycle‐passenger) working condition improved by 10.57%. Effectively improving power consumption per 100 km, NEDC decreased by 1.81% and CLTC‐P decreased by 2.62%. [ABSTRACT FROM AUTHOR]

Surgical resection is the preferred option for hepatocellular carcinoma (HCC), but surgical navigation technology using indocyanine green still has some drawbacks such as non‐specific imaging, thus it is very important to develop new fluorescence imaging technology. All‐cis hexaphenyl‐1,3‐butadiene derivative (ZZ‐HPB‐NC) with aggregation‐induced emission (AIE) feature has been reported to be quickly turned‐on fluorescent response in the intraoperative frozen‐section slides of HCC. However, the probe did not respond to normal liver tissue around HCC. In order to enhance the diagnostic rate and elucidate the response mechanism, all‐trans configuration EE‐HPB‐NC, was furtherly synthesized. Within two minutes, non‐cancer tissues could be fluorescently labeled by EE‐HPB‐NC by spraying, showing the same effect with ZZ‐HPB‐NC to HCC. The results indicated that the configuration‐induced cross‐identification fluorescence imaging strategy was achieved through the combination of ZZ‐ and EE‐HPB‐NC. Then the mechanism of HPB‐NC localization in HCC lesions was explored, and the binding of HPB‐NC with specific proteins in cells resulted in the AIE effect to label HCC cells. On this basis, the accuracy of specific fluorescence imaging for HCC was further verified on the mouse hepatic neoplasm models, indicating that it has clinical application potential for surgical fluorescence real‐time navigation. [ABSTRACT FROM AUTHOR]

Despite active clinical trials on the use of Oleandrin alone or in combination with other drugs for the treatment of solid tumors, the potential synergistic effect of Oleandrin with radiotherapy remains unknown. This study reveals a new mechanism by which Oleandrin targets ATM and ATR kinase‐mediated radiosensitization in lung cancer. Various assays, including clonogenic, Comet, immunofluorescence staining, apoptosis and Cell cycle assays, were conducted to evaluate the impact of oleandrin on radiation‐induced double‐strand break repair and cell cycle distribution. Western blot analysis was utilized to investigate alterations in signal transduction pathways related to double‐strand break repair. The efficacy and toxicity of the combined therapy were assessed in a preclinical xenotransplantation model. Functionally, Oleandrin weakens the DNA damage repair ability and enhances the radiation sensitivity of lung cells. Mechanistically, Oleandrin inhibits ATM and ATR kinase activities, blocking the transmission of ATM‐CHK2 and ATR‐CHK1 cell cycle checkpoint signaling axes. This accelerates the passage of tumor cells through the G2 phase after radiotherapy, substantially facilitating the rapid entry of large numbers of inadequately repaired cells into mitosis and ultimately triggering mitotic catastrophe. The combined treatment of Oleandrin and radiotherapy demonstrated superior inhibition of tumor proliferation compared to either treatment alone. Our findings highlight Oleandrin as a novel and effective inhibitor of ATM and ATR kinase, offering new possibilities for the development of clinical radiosensitizing adjuvants. [ABSTRACT FROM AUTHOR]

BACKGROUND: Canonical biocontrol bacteria were considered to inhibit pathogenic bacteria mainly by secreting antibiotic metabolites or enzymes. Recent studies revealed that some biocontrol bacteria can inhibit pathogenic bacteria through contact‐dependent killing (CDK) mediated by contact‐dependent secretion systems. The CDK was independent of antibiotic metabolites and often ignored in normal biocontrol activity assay. RESULTS: In this study, we aimed to use a pathogen enrichment strategy to isolate non‐canonical bacteria with CDK ability. Rhizosphere soil samples from Chinese cabbage showing soft rot symptom were collected and Pectobacterium carotovorum subsp. carotovorum (Pcc), the pathogen of cabbage soft rot, were added into these samples to enrich bacteria which attached on Pcc cells. By co‐culture with Pcc, four bacteria strains (named as PcE1, PcE8, PcE12 and PcE13) showing antibacterial activity were isolated from Chinese cabbage rhizosphere. These four bacteria strains showed CDK abilities to different pathogenic bacteria of horticultural plants. Among them, PcE1 was identified as Chryseobacterium cucumeris. Genome sequencing showed that PcE1 genome encoded a type VI secretion system (T6SS) gene cluster. By heterologous expression, four predicted T6SS effectors of PcE1 showed antibacterial activity to Escherichia coli. CONCLUSION: Overall, this study isolated four bacteria strains with CDK activity to various horticultural plant pathogens, and revealed possible involvement of T6SS of Chryseobacterium cucumeris in antibacterial activity. These results provide valuable insight for potential application of CDK activity in biocontrol bacteria. © 2024 Society of Chemical Industry. [ABSTRACT FROM AUTHOR]

Ultrapulse fractional CO2 laser is effective for acne atrophic scars. Whether this effectiveness is affected by sleep quality remains unclear. Aiming to investigate the relationship between sleep quality and postoperative effectiveness, a retrospective clinical study was conducted, enrolling 83 patients with atrophic acne scar. Sleep quality was measured by the Pittsburgh Sleep Quality Index (PSQI) questionnaire at 3 months after the end of the first treatment. The ECCA (échelle d'évaluation clinique des cicatrices d'acné) scale was used to evaluate the clinical effectiveness before and at 3 months after treatment. The patients were divided into a mild to moderate improvement group and a good to excellent improvement group, based on whether they achieved a 50% ECCA improvement rate. PSQI score was higher in the mild and moderate improvement group than in the good to excellent improvement group (7.6 ± 4.5 vs 3.8 ± 1.7, p < 0.001). Multivariate logistic regression showed that both PSQI score (odds ratio = 0.6 [95% CI = 0.5–0.8], p < 0.001) and scar type were correlated with postfractional CO2 laser effectiveness. Pearson correlation analysis suggested that PSQI score was negatively correlated with ECCA decline score (r = −0.6139, p < 0.0001). Receiver operating characteristic curve analysis showed that PSQI score (area under the curve = 0.759) and scar type (area under the curve = 0.737) were all closely correlated with postoperative effectiveness, without statistical difference between their accuracies (p = 0.647). Decision curve analysis demonstrated that both PSQI score and scar type correlated with postoperative effectiveness. Our results demonstrated that sleep quality correlates with the postoperative effectiveness of ultrapulse fractional CO2 laser in the treatment of atrophic acne scars. [ABSTRACT FROM AUTHOR]

Background: Psoriasis is an immune‐mediated skin disease, closely related to immune regulation. The aim was to understand the pathogenesis of psoriasis further, reveal potential therapeutic targets, and provide new clues for its diagnosis, treatment, and prevention. Materials and methods: Expression profiling data were obtained from the Gene Expression Omnibus (GEO) database for skin tissues from healthy population and psoriasis patients. Differentially expressed genes (DEGs) were selected for Gene Ontology (GO), Kyoto Encyclopedia of Genes and Genomes (KEGG), and Gene Set Enrichment Analysis (GSEA) analysis separately. Machine learning algorithms were used to obtain characteristic genes closely associated with psoriasis. Receiver operating characteristic (ROC) curve was used to assess the diagnostic value of the characteristic genes for psoriasis. The Cell‐type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm was used to calculate the proportion of immune cell infiltration. Correlation analysis was used to characterize the connection between gene expression and immune cell, Psoriasis Area and Severity Index (PASI). Results: A total of 254 DEGs were identified in the psoriasis group, including 185 upregulated and 69 downregulated genes. GO was mainly enriched in cytokine‐mediated signaling pathway, response to virus, and cytokine activity. KEGG was mainly focused on cytokine‐cytokine receptor interaction and IL‐17 signaling pathway. GSEA was mainly in chemokine signaling pathway and cytokine‐cytokine receptor interaction. The machine learning algorithm screened nine characteristic genes C10orf99, GDA, FCHSD1, C12orf56, S100A7, INA, CHRNA9, IFI44, and CXCL9. In the validation set, the expressions of these nine genes increased in the psoriasis group, and the AUC values were all > 0.9, consistent with those of the training set. The immune infiltration results showed increased proportions of macrophages, T cells, and neutrophils in the psoriasis group. The characteristic genes were positively or negatively correlated to varying degrees with T cells and macrophages. Nine characteristic genes were highly expressed in the moderate to severe psoriasis group and positively correlated with PASI scores. Conclusion: High levels of nine characteristic genes C10orf99, GDA, FCHSD1, C12orf56, S100A7, INA, CHRNA9, IFI44, and CXCL9 were risk factors for psoriasis, the differential expression of which was related to the regulation of immune system activity and PASI scores, affecting the proportions of different immune cells and promoting the occurrence and development of psoriasis. [ABSTRACT FROM AUTHOR]

Drought is a key environmental stress that inhibits plant growth, development, yield and quality. Whole‐genome replication is an effective method for breeding drought resistant cultivars. Here, we evaluated the tolerance of Lilium distichum Nakai diploids (2n = 2× = 24) and artificially induced autotetraploids (2n = 4× = 48) to drought simulated by polyethylene glycol (PEG) stress. Autotetraploids showed stronger drought tolerance than diploids, and high‐throughput sequencing during PEG stress identified five differentially expressed miRNAs. Transcriptome analysis revealed significantly different reactive oxygen species (ROS)‐scavenger expression levels between diploids and autotetraploids, which increased the drought tolerance of autotetraploids. Specifically, we identified ldi‐miR396b and its only target gene (LdPMaT1) for further study based on its expression level and ROS‐scavenging ability in response to drought stress (DS). Autotetraploids showed higher expression of LdPMaT1 and significantly downregulated expression of ldi‐miR396b under DS compared with diploids. Through a short tandem target mimic (STTM) in transgenic lilies, functional studies revealed that miR396b silencing promotes LdPMaT1 expression and the DS response. Under PEG stress, STTM393 transgenic lines showed improved drought resistance mediated by lowered MDA content but exhibited high antioxidant enzyme activity, consistent with the autotetraploid results. Collectively, these findings suggest that ldi‐miR396b‐LdPMaT1 potentially enhances ROS‐scavenging ability, which contributes to improved stress adaptation in autotetraploid lilies. Summary statement: In Lilium distichum Nakai, autotetraploids showed stronger drought tolerance than diploids and ldi‐miR396b‐LdPMaT1 potentially enhances reactive oxygen species‐scavenging ability, which contributes to improved stress adaptation in autotetraploid lilies. [ABSTRACT FROM AUTHOR]

Hyperlipidemic pancreatitis (HP) is an inflammatory injury of the pancreas triggered by elevated serum triglyceride (TG) levels. The mechanistic target of rapamycin (mTOR) signaling pathway plays a crucial role in regulating lipid homeostasis and inflammation. This study aimed to investigate whether the activity of mTOR complex 2 (mTORC2) affects the progression of HP and its underlying mechanisms. In vivo, a high‐fat diet and retrograde administration of sodium taurocholate were employed to establish the HP models in rats, with pancreatic tissue pathology evaluated. The expression of Rictor and peroxisome proliferator‐activator receptor (PPAR) was examined. The serum levels of TG, fatty acid metabolites, inflammatory and lipid metabolism‐related factors were determined. In vitro, pancreatic acinar cells (PACs) were exposed to palmitic acid and cholecystokinin‐8. PAC apoptosis, pyroptosis, and ferroptosis were assessed. In the HP models, rats and PACs exhibited upregulated Rictor and downregulated PPARα, and Rictor knockdown promoted PPARα expression. In vivo, Rictor knockdown decreased the serum levels of TG, α‐amylase, total cholesterol, low‐density lipoprotein cholesterol, lactate dehydrogenase, and inflammatory factors, while increasing high‐density lipoprotein cholesterol levels. Rictor knockdown increased ACOX1 and CPT1α and decreased SREBP‐1, CD36, SCD1, ACLY, and ACACA. Rictor knockdown reduced damage to pancreatic tissue structure. In vitro, Rictor knockdown inhibited PAC apoptosis, pyroptosis, and ferroptosis. Treatment with the PPARα antagonist GW6471 abolished the beneficial effects of Rictor knockdown. Rictor/mTORC2 deficiency reduces serum TG levels, maintains lipid homeostasis, and suppresses inflammation by inhibiting PPARα expression. Weakening mTORC2 activity holds promise as a novel therapeutic strategy for HP. [ABSTRACT FROM AUTHOR]

Reperfusion therapy, employed in the treatment of acute stroke, frequently proves to be inadequate in addressing the primary brain tissue injury and may even give rise to secondary damage. The study introduces a satellite nanoparticle platform named MEps, which combine the neural repair properties of bone marrow mesenchymal stem cell exosomes (Exos) with the inflammatory site‐targeting abilities of macrophage membranes (MMs). MMs and Exos in MEps act like satellites, ensuring precise positioning and information transmission. MEps rapidly form a protective barrier on the damaged cerebral vascular endothelial cells through the interaction of adhesion molecules with their receptors, blocking the infiltration of neutrophils. Subsequently, repair factors in Exos repair the damaged cells and initiate neurogenesis. The results indicate that this innovative approach effectively mitigates ischemic‐reperfusion injury at multiple levels and demonstrates strong biocompatibility. This strategy holds promise for clinical applications in alleviating ischemic‐reperfusion injury. [ABSTRACT FROM AUTHOR]

Background and purpose Experimental approach Key results Conclusions and implications Sodium channel blockers (SCBs) have traditionally been utilized as anti‐seizure medications by primarily targeting the inactivation process. In a drug discovery project aiming at finding potential anticonvulsants, we have identified arbidol, originally an antiviral drug, as a potent SCB. In order to evaluate its anticonvulsant potential, we have thoroughly examined its biophysical properties as well as its effects on animal seizure models.Patch clamp recording was used to investigate the electrophysiological properties of arbidol, as well as the binding and unbinding kinetics of arbidol, carbamazepine and lacosamide. Furthermore, we evaluated the anticonvulsant effects of arbidol using three different seizure models in male mice.Arbidol effectively suppressed neuronal epileptiform activity by blocking sodium channels. Arbidol demonstrated a distinct mode of action by interacting with both the fast and slow inactivation of Nav1.2 channels compared with carbamazepine and lacosamide. A kinetic study suggested that the binding and unbinding rates might be associated with the specific characteristics of these three drugs. Arbidol targeted the classical binding site of local anaesthetics, effectively inhibited the gain‐of‐function effects of Nav1.2 epileptic mutations and exhibited varying degrees of anticonvulsant effects in the maximal electroshock model and subcutaneous pentylenetetrazol model but had no effect in the pilocarpine‐induced status epilepticus model.Arbidol shows promising potential as an anticonvulsant agent, providing a unique mode of action that sets it apart from existing SCBs. [ABSTRACT FROM AUTHOR]

Pesticide spraying serves as a prevalent segment in crop production for substantial economic and ecological benefits. Nevertheless, the existing pesticide formulations are often plagued by droplets rebounding during the spraying process, and the controlled‐release, photolysis protection, and non‐targeted bio‐friendliness are not inadequately considered. Herein, by combining spinosad (SSD, a model pesticide) with glycyrrhizic acid (GL) as an attractive building block, a supramolecular co‐assembly strategy is employed to elaborate pesticide formulations (GL‐SSD) simultaneously featuring high deposition, controlled‐release, and environmental friendliness. The resulting spherical GL‐SSD nanoparticles (NPs) have an average diameter of 207 nm and show an improved 5.2‐fold photostability compared with commercial spinosad suspension (SSD SC). Upon impacting on hydrophobic surfaces of polytetrafluoroethylene film and cabbage leaf, the droplets of GL‐SSD NPs exhibit superior affinity to the micro/nano structure of the surface. Consequently, the droplet rebounding is inhibited effectively, ensuring high deposition efficiency of droplets on surfaces. In addition, the release of SSD from GL‐SSD NPs can be controlled by pH variation. Indoor toxicity and pot experiments demonstrate that GL‐SSD NPs possess good control efficacy against Plutella xylostella. The work offers an alternative approach for the development of multi‐functional and sustainable pesticide formulations with promising potentials in actual agriculture production. [ABSTRACT FROM AUTHOR]

The maximum utilization of hydrocracking tail oil becomes increasingly important for petrochemical industry. The aim of this work is to develop optimized distillation processes to achieve various high‐valued qualified oil products from hydrocracking tail oil. Six different oil products is produced and the steady‐state distillation process, which aims to fractionate six qualified narrow distillates is established. The algorithm method incorporating divided‐wall column (DWC) configuration was introduced into the steady‐state design. Compared with traditional separation sequences, the DWC configuration leads to an energy‐saving potential up to 11.17%. Furthermore, effective dynamic control strategies were proposed, demonstrating precise and efficient control performance. In the presence of a 15% feed disturbance, the dynamic control structure is capable of maintaining the product distillation range near the set value. This comprehensive study provides a thorough investigation into the efficient utilization of hydrocracking tail oil, establishing a robust theoretical foundation for its industrial application. [ABSTRACT FROM AUTHOR]

SUMMARY: As global climate change persists, ongoing warming exposes plants, including kiwifruit, to repeated cycles of drought stress and rewatering, necessitating the identification of drought‐resistant genotypes for breeding purposes. To better understand the physiological mechanisms underlying drought resistance and recovery in kiwifruit, moderate (40–45% field capacity) and severe (25–30% field capacity) drought stresses were applied, followed by rewatering (80–85% field capacity) to eight kiwifruit rootstocks in this study. We then conducted a multivariate analysis of 20 indices for the assessment of drought resistance and recovery capabilities. Additionally, we identified four principal components, each playing a vital role in coping with diverse water conditions. Three optimal indicator groups were pinpointed, enhancing precision in kiwifruit drought resistance and recovery assessment and simplifying the evaluation system. Finally, MX‐1 and HW were identified as representative rootstocks for future research on kiwifruit's responses to moderate and severe drought stresses. This study not only enhances our understanding of the response mechanisms of kiwifruit rootstocks to progressive drought stress and recovery but also provides theoretical guidance for reliable screening of drought‐adaptive kiwifruit genotypes. Significance Statement: In conclusion, we conducted a multivariate analysis to comprehensively investigate the physiological mechanisms underlying drought adaption and to identify reliable indicators and methods suitable for evaluating drought resistance and recovery capabilities in kiwifruit rootstock germplasm. Our findings will not only advance our understanding of kiwifruit's responses to water stress but also facilitate the identification of drought‐adaptive genotypes in future kiwifruit production. [ABSTRACT FROM AUTHOR]

Objectives: A higher reperfusion grade after endovascular thrombectomy (EVT) is associated with a good prognosis. However, the effect of the number of retrievals has not yet been investigated in vertebrobasilar occlusion (VBAO). Therefore, the aim of this study was to investigate whether to continue retrieval after early modified thrombolysis in cerebral infarction (mTICI) 2b to achieve a better reperfusion grade. Methods: We retrospectively analyzed the data of patients who underwent EVT caused by VBAO in a multicenter registry dataset. Patients who underwent successful reperfusion were included (mTICI 2b/3). Regression models were used to analyze the correlation of different reperfusion grades stratified by the number of retrieval attempts with clinical prognosis and hemorrhage transition. Results: We included 432 patients: 34.5% (n = 149) had a final mTICI score of 2b and 65.5% (n = 283) had a final mTICI score of 3. Patients who obtained a mTICI of 3 after the first pass had significantly increased odds of having a good prognosis. As the number of passes increases, the chances of obtaining a good prognosis decreases. After three or more passes, the odds of achieving functional independence and favorable outcomes were comparable to those of the first mTICI 2b, regardless of the 90‐day (OR 1.132 95% CI 0.367–3.487 p = 0.829; OR 1.070 95% CI 0.375–3.047 p = 0.900) or 1‐year follow‐up (OR 1.217 95% CI 0.407–3.637 p = 0.725; OR 1.068 95% CI 0.359–3.173 p = 0.906). Interpretation: Within two retrieval attempts, mTICI 3 was better than the first retrieval to mTICI 2b. After early mTICI 2b, each retrieval should be undertaken with caution to pursue a higher reperfusion grade. [ABSTRACT FROM AUTHOR]

Additional ionospheric information is essential for mitigating errors in single‐frequency (SF) Global Navigation Satellite Systems (GNSS) positioning. The increasing number of low‐cost dual‐frequency (DF) receiver users faces limitations in tracking DF observables compared to traditional geodetic receivers. Consequently, ionospheric correction algorithms (ICAs) are also essential for low‐cost DF devices in hybrid‐frequency positioning. To evaluate the performance of commonly used ICAs during solar cycle 25, our study presents a global statistical investigation of the contribution of five broadcast ionospheric models (BIMs) and the International GNSS Service (IGS) combined real‐time global ionospheric maps (IRTG) to the positioning domain, covering both quiet and perturbed ionospheric conditions. The BIMs investigated include the GPS Klobuchar (GPSK), Galileo NequickG (NEQG), NTCM‐GlAzpar (NTCMG), BDS‐2 Klobuchar (BDSK), and BeiDou Global Ionospheric delay correction Model (BDGIM). Experimental results from standard point positioning indicate that IRTG demonstrates superior overall accuracy compared to all BIMs, with a mean 3D root mean squared (RMS) of 2.76 m during perturbed period. Specifically, GPSK, NTCMG, NEQG, BDGIM, and BDSK exhibit RMS values of 2.03, 1.67, 1.72, 1.62, and 2.36 m during quiet conditions, and 4.02, 3.17, 2.86, 3.14, and 4.44 m during perturbed conditions, respectively. Among the BIMs, NEQG demonstrates superior performance at middle and high latitudes but exhibits lower accuracy than NTCMG and BDGIM at low latitudes during daytime under quiet conditions. BDGIM performs slightly better than NTCMG at low latitudes but slightly worse at high latitudes. BDSK shows notable improvement for high‐ and mid‐latitude regions since 3 June 2020. Plain Language Summary: The ionospheric delay caused by free electrons in the ionosphere is a significant source of error in single‐frequency Global Navigation Satellite Systems (GNSS) positioning. To correct for this, broadcast ionospheric models (BIMs) developed by GPS, BDS, and Galileo, as well as real‐time global ionospheric maps (RT‐GIMs) provided by the International GNSS Service (IGS), are widely used. This study comprehensively analyzed the contribution of five BIMs and the IGS combined RT‐GIMs (IRTG) to GNSS positioning during different ionospheric conditions in solar cycle 25. Using data from 34 IGS stations worldwide over 123 days in 2020 and 2023, we conducted standard point positioning experiments. Overall, the average order of decreasing accuracy during quiet conditions were BeiDou Global Ionospheric delay correction Model (BDGIM), NTCMG, NEQG, GPSK, and BDSK, while during perturbed conditions, the order was IRTG, NEQG, BDGIM, NTCMG, GPSK, and BDSK. Key Points: We investigated the contribution of five broadcast ionospheric models (BIMs) and IRTG to Global Navigation Satellite Systems positioning across latitudinal and diurnal variations during solar cycle 25IRTG outperforms all BIMs. Among all BIMs, BeiDou Global Ionospheric delay correction Model, and NeQuickG perform the best during the quiet and perturbed period, respectivelyAlthough BDSK shows notable improvement for high latitudes since June 2020, it still exhibits the worst position performance among all BIMs [ABSTRACT FROM AUTHOR]

Nowadays, although severe acute respiratory syndrome coronavirus 2 (SARS‐CoV‐2) epidemic has been handled with long‐term management globally, the virus strains keep continuous evolution in an uncertain direction. The newly emerged JN.1 dominated the globally circulating variants in a short time and resulted in increasing hospitalizations. Up to 2024, variant vaccines with the composition of XBB sub‐lineage were available due to the coordinated efforts of developers and regulatory agencies. The development of updated vaccines is still needed and the regular availability of coronavirus disease 2019 (COVID‐19) vaccines should be timely guaranteed. The current landscape of COVID‐19 vaccines and the strategies for accelerating vaccine development and approval are reviewed. Proposals to enhance variants monitoring and the establishment of the strain recommendation mechanism are made. This review provides suggestions about platform technology designation and application, real‐world data leveraging and modification to regulatory pathways both for the post‐pandemic era of SARS‐CoV‐2 and for the future unknown pathogen pandemic. [ABSTRACT FROM AUTHOR]

The PIN‐FORMED (PIN) proteins mediate the auxin flow throughout the plant and have been identified in many species. However, evolution differences in the PIN gene families have not been systematically analyzed, and their functions under abiotic stresses in grape are largely unexplored. In this study, 373 PIN genes were identified from 25 species and divided into 3 subgroups. Physicochemical properties analysis indicated that most of the PIN proteins were unstable alkaline hydrophobic proteins in nature. The synteny analysis showed that the PINs contained strong gene duplication. Motif composition revealed that PIN gene sequence differences between monocotyledons and dicotyledons were due to evolutionary‐induced base loss, and the loss was more common in dicotyledonous. Meanwhile, the codon usage bias showed that the PINs showed stronger codon preference in monocotyledons, monocotyledons biased towards C3s and G3s, and dicotyledons biased towards A3s and T3s. In addition, the VvPIN1 can interact with VvCSN5. Significantly, under freezing treatment, the ion leakage, O2·−$$ \left({O}_2^{\cdotp -}\right) $$, H2O2, and malondialdehyde (MDA) were obviously increased, while the proline (Pro) content, peroxidase (POD) activity, and glutathione (GSH) content were decreased in VvPIN1‐overexpressing Arabidopsis compared to the wild type (WT). And quantitative real‐time PCR (qRT‐PCR) showed that AtICE1, AtICE2, AtCBF1, AtCBF2, and AtCBF3 were down‐regulated in overexpression lines. These results demonstrated that VvPIN1 negatively regulated the freezing tolerance in transgenic Arabidopsis. Collectively, this study provides a novel insight into the evolution and a basis for further studies on the biological functions of PIN genes in monocotyledons and dicotyledons. [ABSTRACT FROM AUTHOR]

Nucleic acids are considered as promising materials for developing exquisite nanostructures from one to three dimensions. The advances of DNA nanotechnology facilitate ingenious design of DNA nanostructures with diverse shapes and sizes. Especially, the algebraic topological framework nucleic acids (ATFNAs) are functional DNA nanostructures that engineer guest molecules (e. g., nucleic acids, proteins, small molecules, and nanoparticles) stoichiometrically and spatially. The intrinsic precise properties and tailorable functionalities of ATFNAs hold great promise for biological applications, such as cell recognition and immunotherapy. This Perspective highlights the concept and development of precisely assembled ATFNAs, and outlines the new frontiers and opportunities for exploiting the structural advantages of ATFNAs for biological applications. [ABSTRACT FROM AUTHOR]

The Internet of Things (IoT) technology can currently enable devices and systems in various fields to achieve interconnectivity, intelligence, and automation, which is significant for improving daily life. It connects objects through the Internet, achieving information exchange and sharing, bringing many conveniences to humanity, and improving the efficiency and quality of various industries. However, precisely because everything is interconnected, most IoT systems have high data throughput, which leads to issues such as reduced operational efficiency of IoT systems. Therefore, this article used digital twin (DT) technology to aggregate multi‐source heterogeneous data of the IoT, overcoming the problems of diversity and differences in massive data, and thus accelerating the system's data processing. Moreover, in the end of this article, an experiment was conducted on the IoT system of a certain university. Taking the system running 10 times as an example, the packet loss rate of the experimental group using DT technology was only 3.48%, while the packet loss rate of the control group running alone was 4.36%. This indicates that DT technology has improved the performance of the IoT system. This study highlights the role of digital twin technology in solving the low operational efficiency, diverse data, and data differences in data aggregation of the Internet of Things. It plays a significant role in improving the operational efficiency of the Internet of Things and improving the performance of the Internet of Things system. [ABSTRACT FROM AUTHOR]

Hepatocellular carcinoma (HCC) is acknowledged as an immunosuppressive neoplasm, whereby the inactive microenvironment facilitates immune tolerance and evasion of HCC. Post‐surgical resected liver cancer exhibits a proclivity for relapse, rendering prevention of recurrence challenging as it may transpire at any point subsequent to surgery. Among the various anti‐recurrence interventions, the primary clinical approach involving the administration of regimens atezolizumab and bevacizumab (A+T) is deemed the most efficacious in reversing the tumor microenvironment, albeit still lacking in complete satisfaction. Therefore, the objective is to utilize a recently developed block copolymer as a protective carrier for two specific monoclonal antibody drugs. Subsequently, a modified hemostatic hydrogel will be synthesized for application during hepatic surgery. The immunotherapy impact of this approach is significantly prolonged and intensified due to the combined hemostasis properties and controlled release of the constituents within the synthesized nanocomposite hydrogel. Furthermore, these nanocomposite hydrogels exhibit remarkable efficacy in preventing postoperative wound bleeding and substantially enhancing the safety of liver cancer resection. This research on the anti‐recurrence hydrogel system presents a novel therapeutic approach for addressing local recurrence of liver cancer, potentially offering a substantial contribution to the field of surgical treatment for liver cancer in the future. [ABSTRACT FROM AUTHOR]

Aim: The purpose of this study was to understand the caregiving experiences of breast cancer family caregivers and explore the profound impacts of those experiences on their quality of life. Design: A qualitative research method was used. Methods: We extended invitations to 23 family caregivers of outpatients and inpatients receiving breast surgery and oncology treatments in Taiyuan, China, to participate in semi‐structured interviews. The interviews were audio‐recorded and transcribed verbatim. Thematic analysis was employed to analyse the interview data. Results: Four themes and associated categories were identified: (1) changes in family dynamics, (2) the socio‐medical context, (3) interactions between family and society, (4) self‐efficacy and nine subthemes and their related categories, where virtually all participants expressed future uncertainty, emotional contagion, and personal challenges, and self‐efficacy had a moderating influence on the first three themes. Patient or Public Contribution: This study did not involve direct participation of patients or the public. However, their experiences and perspectives on caregiving were indirectly reflected through the insights provided by the family caregivers who participated in the interviews. Their valuable input contributed to a deeper understanding of the caregiving experience and its impact on the quality of life for Chinese breast cancer family caregivers. [ABSTRACT FROM AUTHOR]

The present study was designed to examine the effect of trans‐spinal magnetic stimulation on bilateral respiratory and forelimb muscles in healthy subjects. Two wings of a figure‐of‐eight magnetic coil were placed on the dorsal vertebrae, from the fifth cervical to the second thoracic dorsal vertebra with a center at the seventh cervical vertebra. The surface electromyograms of bilateral diaphragm and biceps were recorded in response to trans‐spinal magnetic stimulation with 20%–100% maximum output of the stimulatory device in male (n = 12) and female participants (n = 8). Trans‐spinal magnetic stimulation can induce a co‐activation of bilateral diaphragm and biceps when the stimulation intensity is above 60%. The onset latency was comparable between the left and right sides of the muscles, suggesting bilateral muscles could be simultaneously activated by trans‐spinal magnetic stimulation. In addition, the intensity–response curve of the biceps was shifted upward compared with that of the diaphragm in males, indicating that the responsiveness of the biceps was greater than that of the diaphragm. This study demonstrated the feasibility of utilizing trans‐spinal magnetic stimulation to co‐activate the bilateral diaphragm and biceps. We proposed that this stimulatory configuration can be an efficient approach to activate both respiratory and forelimb muscles. [ABSTRACT FROM AUTHOR]

Aim: To evaluate the efficacy and safety of insulin glargine 300 U/mL (Gla‐300) in people with suboptimally controlled type 2 diabetes (T2D) in China. Methods: INITIATION (NCT05002933) was a prospective, interventional, multicentre, single‐arm, phase IV study conducted in China. Individuals with suboptimally controlled T2D who were insulin naïve or switching from another basal insulin (insulin experienced) were included. The primary endpoint was the change in HbA1c from baseline to week 24. Safety assessments included hypoglycaemia and adverse events (AEs). Results: In total, 568 participants were enrolled and 562 initiated Gla‐300 treatment (189 in the insulin‐naïve subgroup; 373 in the insulin‐experienced subgroup). At week 24, the mean ± standard error (SE) change in HbA1c from baseline was −0.91% ± 0.05% (−9.9 ± 0.5 mmol/mol; P <.0001). Significant HbA1c reductions were also observed in the insulin‐naïve (mean ± SE change: −1.38% ± 0.09% [−15.1 ± 1.0 mmol/mol]) and insulin‐experienced (−0.68% ± 0.05% [−7.4 ± 0.5 mmol/mol]) subgroups (both P <.0001). During the 24‐week treatment period, the incidence of confirmed hypoglycaemia (plasma glucose ≤ 3.9 mmol/L) was 39.7% for all hypoglycaemia and 13.3% for nocturnal hypoglycaemia; the incidence of severe hypoglycaemia was low (0.5%). Overall, treatment‐emergent AEs (TEAEs) were reported in 126 participants (22.4%), with no serious treatment‐related TEAEs. Conclusions: Gla‐300 was effective in improving glycaemic control and had a relatively low risk of hypoglycaemia in people with suboptimally controlled T2D who were insulin naïve or switching from another basal insulin in China. [ABSTRACT FROM AUTHOR]

The adjustable structures and remarkable physicochemical properties of 2D monoelemental materials, such as silicene and germanene, have attracted significant attention in recent years. They can be transformed into silicane (SiH) and germanane (GeH) through covalent functionalization via hydrogen atom termination. However, synthesizing these materials with a scalable and low‐cost fabrication process to achieve high‐quality 2D SiH and GeH poses challenges. Herein, groundbreaking 2D SiH and GeH materials with varying compositions, specifically Si0.25Ge0.75H, Si0.50Ge0.50H, and Si0.75Ge0.25H, are prepared through a simple and efficient chemical exfoliation of their Zintl phases. These 2D materials offer significant advantages, including their large surface area, high mechanical flexibility, rapid electron mobility, and defect‐rich loose‐layered structures. Among these compositions, the Si0.50Ge0.50H electrode demonstrates the highest discharge capacity, reaching up to 1059 mAh g−1 after 60 cycles at a current density of 75 mA g−1. A comprehensive ex‐situ electrochemical analysis is conducted to investigate the reaction mechanisms of lithiation/delithiation in Si0.50Ge0.50H. Subsequently, an initial assessment of the c‐Li15(SixGe1‐x)4 phase after lithiation and the a‐Si0.50Ge0.50 phase after delithiation is presented. Hence, this study contributes crucial insights into the (de)lithiation reaction mechanisms within germanane‐silicane alloys. Such understanding is pivotal for mastering promising materials that amalgamate the finest properties of silicon and germanium. [ABSTRACT FROM AUTHOR]

To simulate biological visual systems and surpass their functions and performance, it is essential to develop high‐performance optoelectronic neuromorphic electronics with broadband response, low power consumption, and fast response speed. Among these, optoelectronic synaptic transistors have emerged as promising candidates for constructing neuromorphic visual systems. In this work, flexible printed broadband (from 275 to 1050 nm) optoelectronic carbon nanotube synaptic transistors with good stability, high response speed (3.14 ms), and low‐power consumption (as low as 0.1 fJ per event with the 1050 nm pulse illumination) using PbS quantum dots (QDs) modified semiconducting single‐walled carbon nanotubes (sc‐SWCNTs) as active layers are developed. In response to optical pulses within the ultraviolet to near‐infrared wavelength range, the optoelectronic neuromorphic devices exhibit excitatory postsynaptic current, paired‐pulse facilitation, and a transition from short‐term plasticity to long‐term plasticity, and other optical synaptic behaviors. Furthermore, a simplified neural morphology visual array is developed to simulate integrated functions such as image perception, memory, and preprocessing. More importantly, it can also emulate other complicated bionic functions, such as the infrared perception of salmon eyes and the warning behavior of reindeer in different environments. This work holds immense significance in advancing the development of artificial neural visual systems. [ABSTRACT FROM AUTHOR]