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Abstract Parkinson’s disease (PD) is a complex neurological disorder characterized by dopaminergic neuron degeneration, leading to diverse motor and non-motor impairments. This variability complicates accurate progression modelling and early-stage prediction. Traditional classification methods based on clinical symptoms are often limited by disease heterogeneity. This study introduces an graph-based interpretable personalized progression method, utilizing data from the Parkinson’s Progression Markers Initiative (PPMI) and Stroke Parkinson’s Disease Biomarker Program (PDBP). Our approach integrates multimodal inter-individual and intra-individual data, including clinical assessments, MRI, and genetic information to make multi-dimension predictions. Validated using the PDBP dataset from 12 to 36 months, our AdaMedGraph method demonstrated strong performance, achieving AUC values of 0.748 and 0.714 for the 12-month Hoehn and Yahr Scale and Movement Disorder Society-Sponsored Revision of the Unified Parkinson’s Disease Rating Scale (MDS-UPDRS) III on the PPMI test set. Ablation analysis reveals the importance of baseline clinical assessment predictors. This novel framework improves personalized care and offers insights into unique disease trajectories in PD patients.

Background: Following recent research advancements, an increasing level of evidence had been published to indicate that celastrol exerted a therapeutic effect on a range of nervous system diseases. This study therefore aimed to investigate the potential involvement of celastrol on ferroptosis and the blood-brain barrier disruption in intracerebral haemorrhage. Methods: We established a rat intracerebral haemorrhage and adrenal pheochromocytoma cell (PC12) OxyHb models using an ACSL4 overexpression vector. Ferroptosis-related indices were assessed using corresponding assay kits, and immunofluorescence and flow cytometry were used to measure reactive oxygen species (ROS) levels. Additionally, quantitative PCR (qPCR) and western blot analyses were conducted to evaluate the expression of key proteins and elucidate the role of celastrol in intracerebral haemorrhage (ICH). Results: Celastrol significantly improved neurological function scores, blood-brain barrier integrity, and brain water content in rats with ICH. Moreover, subsequent analysis of ferroptosis-related markers, such as Fe2+, ROS, MDA, and SOD, suggested that celastrol exerted a protective effect against the oxidative damage induced by ferroptosis in ICH rats and cells. Furthermore, Western blotting indicated that celastrol attenuated ferroptosis by modulating the expression levels of key proteins, including acyl-CoA synthetase long-chain family member 4 (ACSL4), glutathione peroxidase 4 (GPX4), ferritin heavy chain 1 (FTH1), and anti-transferrin receptor 1 (TFR1) both in vitro and in vivo. ACSL4 overexpression attenuated the neuroprotective effects of celastrol on ICH in vitro. Molecular docking analysis revealed that celastrol interacted with ACSL4 via the GLU107, GLN109, ASN111, and LYS357 binding sites. Conclusions: Celastrol exerted antioxidant properties and aids in neurological recovery after stroke by suppressing ACSL4 expression during ferroptosis. As such, this drug represented a promising pharmaceutical candidate for the treatment of ICH.

Abstract This paper proposes a gradient conformal design technique to modify the multi-directional stiffness characteristics of 3D printed chiral metamaterials, using various airfoil shapes. The method ensures the integrity of chiral cell nodal circles while improving load transmission efficiency and enhancing manufacturing precision for 3D printing applications. A parametric design framework, integrating finite element analysis and optimization modules, is developed to enhance the wing’s multidirectional stiffness. The optimization process demonstrates that the distribution of chiral structural ligaments and nodal circles significantly affects wing deformation. The stiffness gradient optimization results reveal a variation of over 78% in tail stiffness performance between the best and worst parameter combinations. Experimental outcomes suggest that this strategy can develop metamaterials with enhanced deformability, offering a promising approach for designing morphing wings.

Abstract In robotic-assisted surgery (RAS), traditional surgical instruments without sensing capability cannot perceive accurate operational forces during the task, and such drawbacks can be largely intensified when sophisticated tasks involving flexible and slender arms with small end-effectors, such as in gastrointestinal endoscopic surgery (GES). In this study, we propose a microelectromechanical system (MEMS) piezoresistive 3-axial tactile sensor for GES forceps, which can intuitively provide surgeons with online force feedback during robotic surgery. The MEMS fabrication process facilitates sensor chips with miniaturized dimensions. The fully encapsulated tactile sensors can be effortlessly integrated into miniature GES forceps, which feature a slender diameter of just 3.5 mm and undergo meticulous calibration procedures via the least squares method. Through experiments, the sensor’s ability to accurately measure directional forces up to 1.2 N in the Z axis was validated, demonstrating an average relative error of only 1.18% compared with the full-scale output. The results indicate that this tactile sensor can provide effective 3-axial force sensing during surgical operations, such as grasping and pulling, and in ex vivo testing with a porcine stomach. The compact size, high precision, and integrability of the sensor establish solid foundations for clinical application in the operating theater.

Abstract Due to low success rates and long cycles of traditional drug development, the clinical tendency is to apply omics techniques to reveal patient-level disease characteristics and individualized responses to treatment. However, the heterogeneous form of data and uneven distribution of targets make drug discovery and precision medicine a non-trivial task. This study takes pyroptosis therapy for triple-negative breast cancer (TNBC) as a paradigm and uses data mining of a large TNBC cohort and drug databases to establish a biofactor-regulated neural network for rapidly screening and optimizing compound pyroptosis drug pairs. Subsequently, biomimetic nanococrystals are prepared using the preferred combination of mitoxantrone and gambogic acid for rational drug delivery. The unique mechanism of obtained nanococrystals regulating pyroptosis genes through ribosomal stress and triggering pyroptosis cascade immune effects are revealed in TNBC models. In this work, a target omics-based intelligent compound drug discovery framework explores an innovative drug development paradigm, which repurposes existing drugs and enables precise treatment of refractory diseases.

To investigate the nutritional quality and flavor characteristics of Micropterus salmoides muscle cultivated in the pond (P), in-pond raceway (IPRS), and industrial aquaponics (ARAS) systems, we comprehensively analyzed texture properties, nutrient compositions, and volatile compounds. Our results revealed firmer flesh in P-cultured fish due to greater hardness and mastication. ARAS fish exhibited lower crude fat but higher crude protein and muscle glycogen. Notably, recirculating aquaculture significantly elevated total amino acids, minerals, and ΣPUFA/ΣSFA ratio, enhancing nutritional value. Pyrazine,2-methoxy-3-(2-methylpropyl)-, and β-Ionone were identified as key flavor compounds. Volatile metabolites in all systems were dominated by woody, herbal, and sweet aroma profiles, with ARAS achieving the highest odor activity value, suggesting improved overall flavor. This study underscores the pivotal role of recirculating aquaculture in enhancing Micropterus salmoides quality, positioning it as a new quality productive force.

Climate governance is an important issue common to the international community currently, and the international community has signed several agreements to combat greenhouse gases. China is the country has the largest CO2 emissions among the world and the government is current under tremendous pressure to reduce and mitigate carbon emissions. Emissions controlling of greenhouse gas will mitigate the global climate problem, it can also be an important prerequisite for economic and social development of China, and a guarantee for the sustainability of mankind. Shanghai (Yangtze River Delta) is the heart of China's economy and an important area for reducing carbon emissions. Based on the actual development foundation and emission reduction space of Shanghai, this paper constructs a local emission reduction plan. By setting different growth rates for factors that affect carbon emissions, multiple scenarios under different growth rates are obtained, and carbon emissions in the next 40 years are modelled. The development scenarios suitable for achieving carbon peaking and carbon neutrality goals economically and efficiently are analysed, which has certain reference timeline for Shanghai (Yangtze River Delta) to achieve carbon neutrality.

The study detects and analyzes the driving factors underlying the CO2 emission variations in the transport sector of Bangladesh, including the carbon coefficient, fossil fuel ratio, energy use per unit turnover, turnover per unit of transport value-added, and value-added of transport from 2003 to 2021. The objective is to analyze the transportation (i.e., land, water and air) factor's effects under the logarithmic mean Divisia index, Tapio index, CO2 mitigation potential methods, and their decouplings. The results show that: (i) value-added was the main CO2 driving factor, while CO2 coefficient, fuel substitution, energy use, and turnover value mitigated CO2 emissions. (ii) Land and water transport seemed to be the main CO2 producers and meaningfully contributed to the economy. (iii) Only two decoupling states─weak decoupling and strong decoupling appeared, in which economic growth was the significant turn towards the best state. (iv) Sub-transportation presented significant and strong decouplings in the maximum intervals. (iv) The carbon mitigation rate was observed at 0.26 % during the period in which the economic structural factor was the main factor contributing to declining CO2 emissions. Finally, the study proposes frameworks that will support policymakers in estimating energy and technological policies for climate and economic sustainability.

Designing and manufacturing advanced structural microwave absorbers is one of the most feasible methods to address the growing electromagnetic stealth and protection challenges in both military and civilian domains. To this end, under the application context of structural–functional integration, a series of nanocomposites with varying ratios were prepared using multi-walled carbon nanotubes (MWCNTs) and inexpensive thermoplastic polypropylene as raw materials. The dispersion of nanofillers, rheological properties, thermal properties, and mechanical properties were evaluated. The research found that the impedance matching factor of the electromagnetic wave absorbers plays a more critical role in determining the material’s absorption capacity compared to the loss factor. Simple structural layering by changing the composition and design can effectively increase the effective absorption bandwidth (EAB) of the absorbers, with microwave attenuation primarily arising from conductive loss, interfacial polarization, dipole polarization, and multiple reflections. Finally, a multi-scale quasi-honeycomb absorber was fabricated using multi-material 3D printing with a structured design. Both simulation and experimental results showed consistent trends, demonstrating low sensitivity to the incident azimuth angle. This research features simplicity, low cost, and strong design capability, providing a new strategy for the preparation of functionally graded materials with potential applications in electromagnetic wave absorption.

Animal cell culture technology in the production of slaughter-free meat offers ethical advantages with regards to animal welfare, rendering it a more socially acceptable approach for dog meat production. In this study, edible plant-derived scaffold was used as a platform for cell expansion to construct cell-cultured dog meat slices. Primary dog skeletal muscle satellite cells (MSCs) and adipose stem cells (ASCs) were isolated and cultured as seed cells, and 3D spheroid culture in vitro promoted MSCs and ASCs myogenic and adipogenic differentiation, respectively. Natural leaf veins (NLV) were produced as edible mesh scaffolds to create 3D engineered dog muscle and fat tissues. After MSCs and ASCs adhered, proliferated and differentiated on the NLV scaffolds, and muscle and fat slices were produced with cultured dog muscle fibers and adipocytes, respectively. These findings demonstrate the potential of plant-derived NLV scaffolds in the production of cultured dog meat.

Abstract Background The efficacy of levodopa, the most crucial metric for Parkinson’s disease diagnosis and treatment, is traditionally gauged through the levodopa challenge test, which lacks a predictive model. This study aims to probe the predictive power of T1-weighted MRI, the most accessible modality for levodopa response. Methods This retrospective study used two datasets: from the Parkinson’s Progression Markers Initiative (219 records) and the external clinical dataset from Ruijin Hospital (217 records). A novel feature extraction method using MedicalNet, a pre-trained deep learning network, along with three previous approaches was applied. Three machine learning models were trained and tested on the PPMI dataset and included clinical features, imaging features, and their union set, using the area under the curve (AUC) as the metric. The most significant brain regions were visualized. The external clinical dataset was further evaluated using trained models. A paired one-tailed t-test was performed between the two sets; statistical significance was set at p

Abstract Behaving efficiently and flexibly is crucial for biological and artificial embodied agents. Behavior is generally classified into two types: habitual (fast but inflexible), and goal-directed (flexible but slow). While these two types of behaviors are typically considered to be managed by two distinct systems in the brain, recent studies have revealed a more sophisticated interplay between them. We introduce a theoretical framework using variational Bayesian theory, incorporating a Bayesian intention variable. Habitual behavior depends on the prior distribution of intention, computed from sensory context without goal-specification. In contrast, goal-directed behavior relies on the goal-conditioned posterior distribution of intention, inferred through variational free energy minimization. Assuming that an agent behaves using a synergized intention, our simulations in vision-based sensorimotor tasks explain the key properties of their interaction as observed in experiments. Our work suggests a fresh perspective on the neural mechanisms of habits and goals, shedding light on future research in decision making.

This study investigates the stress relaxation behavior and associated microstructure evolution in laser melted deposited Ti–6Al–4V alloy under various temperature and pre-strain conditions for the first time. A set of stress relaxation and tensile tests has been performed to characterize the stress and strength evolution properties of the as-deposited alloy, and microstructural analysis has also carried out for mechanisms identification. It is found that the as-deposited alloy exhibits a lower threshold stress (less than 10 MPa), faster relaxation rate, and a more significant decrease in strength (9.9%∼15.8%) when compared with the same testing conditions of conventionally extruded alloy. Based on the microstructural evolutions, as well as the stress exponent analysis, the stress relaxation mechanisms have been identified: at low pre-strain and temperature (700 °C and 0.5%), diffusion creep plays the dominant role, while with the increasing pre-strains and temperatures, the mechanism transits to dislocation climb, and eventually to grain boundary sliding, at 750 °C and 10%. It is observed that the fine lamellae in the as-deposited alloy are susceptible to morphological changes during relaxation, including dislocation rearrangement, lamellae spheroidization and coarsening. These microstructural evolutions lead to the creep mechanism transitions, as well as the noticeable reduction in yield strength after relaxation. The results could provide insights into designing appropriate stress relaxation parameters for deposited alloys in hybrid additive manufacturing processes.

Adrenoleukodystrophy is a rare neurogenetic disease, and adrenomyeloneuropathy is the most common phenotype in adults. The clinical data of a patient with adrenoleukodystrophy and spinal-peripheral neuropathy caused by a novel point mutation in exon 4 of the ABCD1 gene (c.1256T > G (p.Val419Gly)) were retrospectively analyzed. Furthermore, we constructed wild-type and mutant vectors of the ABCD1 (NM0000334) gene to validate the effect of this mutation on the expression of the ABCD1 gene and protein and to explore the mechanism of X-linked adrenoleukodystrophy occurrence and development to identify therapeutic targets for clinical treatment.

Background: Rheumatoid arthritis (RA) is a chronic autoimmune disorder that causes joint inflammation and destruction, resulting in significant physical and economic burdens. Finding effective and targeted therapy for RA remains a top priority. Resveratrol is a potential candidate with anti-inflammatory and immunomodulatory properties for RA treatment. This study aims to determine the therapeutic targets and signaling pathways of resveratrol in the treatment of RA. Methods: The GSE205962 dataset downloaded from The Gene Expression Omnibus (GEO) database was used to obtain the differentially expressed genes (DEGs) in blood samples from the patients and the healthy. PharmMapper database and Cytoscape (v3.9.1) were applied to construct the resveratrol pharmacophore target network. Gene functional enrichment analysis, including the Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) analysis, was based on the BiNGo plug-in of Cytoscape and David's online tool. The intersection of the target genes of resveratrol and the DEGs were considered potential therapeutic genes (PT-genes). The Protein-Protein Interaction (PPI) network of PT-genes was constructed using the STRING tool, and the key therapeutic genes (KT-genes) were determined using the cytoHubba plug-in based on the Maximal Clique Centrality (MCC) algorithms. Molecular docking validation of resveratrol and therapeutic targets was performed based on the protein structure of KT-genes predicted by AlphaFold. Results: A total of 2202 DEGs and 47PT-genes were identified. GO analysis showed that the three groups of genes, the DEGs, the resveratrol target genes, and the PT-genes, have similar results for the top-five gene functional enrichment. PT-genes were closely related to the pathways of metabolic pathways, pathways in cancer, proteoglycans in cancer, insulin signaling pathway, and chemokine signaling pathway. The common pathway enriched by KEGG for the DEGs, and the resveratrol target genes was up to 36 %. The nine KT-genes were ABL1, ANXA5, CASP3, HSP90AA1, LCK, MAP2K1, MAPK1, PIK3R1, and RAC1, and the lowest free energy indicating the resveratrol/protein affinity were −8.4, −7.4, −6.4, −6.7, −8.0, −7.9, −7.4, −6.7, and −7.9, respectively. Conclusion: Nine KT-genes were identified and validated as the most potential therapeutic targets in the treatment of RA with resveratrol, which provide new insights into therapeutic mechanisms and may improve the efficiency of drug development.

Abstract Background Traumatic brain injury (TBI) is a common condition in veterinary medicine that is difficult to manage.Veterinary regenerative therapy based on adipose mesenchymal stem cells seem to be an effective strategy for the treatment of traumatic brain injury. In this study, we evaluated therapeutic efficacy of canine Adipose-derived mesenchymal stem cells (AD-MSCs)in a rat TBI model, in terms of improved nerve function and anti-neuroinflammation. Results Canine AD-MSCs promoted neural functional recovery, reduced neuronal apoptosis, and inhibited the activation of microglia and astrocytes in TBI rats. According to the results in vivo, we further investigated the regulatory mechanism of AD-MSCs on activated microglia by co-culture in vitro. Finally, we found that canine AD-MSCs promoted their polarization to the M2 phenotype, and inhibited their polarization to the M1 phenotype. What’s more, AD-MSCs could reduce the migration, proliferation and Inflammatory cytokines of activated microglia, which is able to inhibit inflammation in the central system. Conclusions Collectively, the present study demonstrates that transplantation of canine AD-MSCs can promote functional recovery in TBI rats via inhibition of neuronal apoptosis, glial cell activation and central system inflammation, thus providing a theoretical basis for canine AD-MSCs therapy for TBI in veterinary clinic.

Abstract Purpose Prostatitis is a highly prevalent condition that seriously affects men’s physical and mental health. Although epidemiological investigations have provided evidence of a correlation between insufficient sleep and prostatitis, the pathogenesis of prostatitis remains unclear. We sought to identify the underlying mechanism involved and identify a promising therapeutic target. Methods Sleep deprivation (SD) was utilized to establish a mouse model of insufficient sleep in a special device. Prostatitis was observed at different time points post-SD. The degree of prostatitis was evaluated by pathological section and behavioural tests. Using immunofluorescence, western blot, and proteomic analyses, the underlying mechanism of SD-related prostatitis was investigated, and the development and therapeutic target of prostatitis were elucidated. Results SD, as an initial pathological trigger, resulted in a reduction in dihydrotestosterone and melatonin levels. Proteomic analysis revealed that the cGAS-STING pathway may play a significant role in inducing prostatitis. The subsequent results illustrated that the dual reduction in dihydrotestosterone and melatonin led to an accumulation of reactive oxygen species and the release of mitochondrial DNA (mt-DNA). The accumulation of mt-DNA activated the cGAS-STING pathway, which recruited inflammatory cells into the prostatic stroma through the secretion of interferon-β. Consequently, an inflammatory microenvironment was formed, ultimately promoting the development of prostatitis. Notably, mice with SD-induced prostatitis gradually recovered to a normal state within 7 days of recovery sleep. However, after being subjected to SD again, these mice tended to have a more pronounced manifestation of prostatitis within a shorter timeframe, which suggested that prostatitis is prone to relapse. Conclusions The cGAS-STING pathway activated by dual deficiency of dihydrotestosterone and melatonin plays a comprehensive inflammatory role in SD-related prostatitis. This research provides valuable insights into the pathogenesis, therapeutic targets, and prevention strategies of prostatitis.

Abstract Real-world data on effectiveness and safety of a single non-vitamin K antagonist oral anticoagulant in the Chinese population with atrial fibrillation (AF) are limited. This study reports characteristics of patients treated with edoxaban and factors associated with dosing patterns from routine care in China. ETNA-AF-China (NCT04747496) is a multicentre, prospective, observational study enrolling edoxaban-treated patients from four economic regions with a targeted 2-year follow-up. Of the 4930 patients with AF (mean age: 70.2 ± 9.5 years; male, 57.1%), the mean creatinine clearance (CrCl), CHA2DS2-VASc, and HAS-BLED scores were 71.2 mL/min, 2.9, and 1.6. Overall, 6.4% of patients were perceived as frail by investigators. Available label dose reduction criteria (N = 4232) revealed that 3278 (77.5%) patients received recommended doses and 954 (22.5%) non-recommended doses. Northeast (53.0%) and West (43.1%) regions had the highest prescriptions of 60 mg and 30 mg recommended doses, respectively. Non-recommended 30 mg doses were more frequently prescribed in patients with antiplatelet use and history of heart failure than recommended 60 mg. Multivariate analysis identified advanced age as the strongest associated factor with non-recommended doses. Frailty had the strongest association with 30 mg except for age, and history of TIA was the most relevant factor associated with 60 mg. In conclusion, patients in the ETNA-AF-China study were predominantly aged 65 years and older, had mild-to-moderate renal impairment and good label adherence. Advanced age was associated with non-recommended doses, with frailty most common for non-recommended 30 mg and a history of TIA for the non-recommended 60 mg dose.

Abstract There lacks real‐world study with a large sample size assessing olmesartan medoxomil‐amlodipine besylate (OM‐AML) tablet. Therefore, this study aimed to evaluate the efficacy and safety of OM‐AML tablet in patients with essential hypertension. Totally, 1341 patients from 36 medical centers with essential hypertension who took OM‐AML (20/5 mg) tablet were analyzed in the current prospective, single‐arm, multi‐center, real‐world study (SVK study). Seated systolic blood pressure (SeSBP) and seated diastolic blood pressure (SeDBP) at baseline, week (W)4 and W8 were measured. The mean (±SE) change of SeSBP/SeDBP was ‐10.8 ± 0.4/‐6.6 ± 0.3 mmHg at W4 and ‐12.7 ± 0.5/‐7.6 ± 0.3 mmHg at W8, respectively. At W4, 78.8% and 29.0% patients achieved BP target by China and American Heart Association (AHA) criteria; at W8, 84.7% and 36.5% patients reached blood pressure (BP) target by China and AHA criteria, accordingly. Meanwhile, 80.2% and 86.4% patients achieved BP response at W4 and W8, respectively. Home‐measured SeSBP and SeDBP decreased from W1 to W8 (both p

Abstract Background The TyG index, a prominent metric for assessing insulin resistance, has gained traction as a prognostic tool for cardiovascular disease. Nevertheless, the understanding of the prognostic significance of the extent of coronary artery stenosis in individuals afflicted with H-type hypertension remains limited. Methods A retrospective study was conducted at Wuhan Third Hospital, including a cohort of 320 inpatients who were diagnosed with hypertension in combination with coronary artery disease. The study period spanned from January 1, 2021, to February 1, 2023. The study cohort was stratified based on the severity of stenosis into three distinct groups: low stenosis, medium stenosis, and high stenosis, as determined by the Gensini score derived from coronary angiography findings. The present study aimed to investigate the association between the severity of coronary stenosis and the number of lesion branches, utilizing the TyG index as a testing indicator. The predictive ability of TyG for coronary lesion severity was assessed using logistic regression analysis. Results The results of our study indicate a positive correlation between elevated levels of TyG and an increased susceptibility to severe stenosis in individuals diagnosed with H-type hypertension. Upon careful consideration of potential confounding variables, it has been observed that the TyG index exhibits a robust association with the likelihood of severe stenosis in individuals with H-type hypertension (odds ratio [OR] = 4000, 95% confidence interval CI 2.411–6.635, p = 0.0001), as well as the prevalence of multivessel disease (OR = 1.862, 95% CI 1.036–3.348, p

Background: The systemic immune-inflammation index (SII) is a proven, reliable inflammatory marker of the atherosclerotic process. Additionally, inflammation is one of the most important mechanisms of heart failure (HF) after myocardial infarction (MI). However, it is not clear whether SII is related to the risk of in-hospital HF in patients with MI. Thus, we aimed to explore the relationship between SII and the risk of new-onset in-hospital HF in ST-segment elevation myocardial infarction (STEMI) patients treated with primary percutaneous coronary intervention (pPCI). Methods: A total of 5586 patients with STEMI underwent pPCI at seven clinical sites in China from January 2015 to August 2021. The patients were divided into two groups based on the SII values. The association between SII and new-onset in-hospital HF in STEMI patients was assessed using logistic regression analysis. Results: Ultimately, 3808 STEMI patients with Killip class I who were treated with pPCI were included. All included patients were divided into two groups based on the calculated SII (Q1 SII:

Abstract Developing non‐precious‐metal electrocatalysts that can operate with a low overpotential at a high current density for industrial application is challenging. Heterogeneous bimetallic phosphides have attracted much interest. Despite high hydrogen evolution reaction (HER) performance, the ordinary oxygen evolution reaction (OER) performance hinders their practical use. Herein, it is shown that Fe‐doping reverses and enlarges the interfacial electrical field at the heterojunction, turning the H intermediate favorable binding sites for HER into O intermediate favorable sites for OER. Specifically, the self‐supported heterojunction catalysts on nickel foam (CoP@Ni2P/NF and Fe‐CoP@Fe‐Ni2P/NF) are readily synthesized. They only require the overpotentials of 266 and 274 mV to drive a large current density of 1000 mA cm−2 (j1000) for HER and OER, respectively. Furthermore, a water splitting cell equipped with these electrodes only requires a voltage of 1.724 V to drive j1000 with excellent durability, demonstrating the potential of industrial application. This work offers new insights on interfacial engineering for heterojunction catalysts.

Study Region: Huai River Basin, China Study Focus: Runoff data preprocessing and strongly correlated influencing factors are vital to predicting runoff by machine learning methods due to the impact of human activities and changing climate. To address the issue of noise interference in the runoff components post-decomposition. This study introduces a novel denoising technique that integrates the matching pursuit algorithm with permutation entropy. Furthermore, to enhance the correlation of the input factors, multi-scale daily rainfall data obtained through decomposition is utilized as input to the model for the first time. The aim of preprocessing the original runoff is to diminish noise interference and reduce the complexity of the subsequences. This method effectively increases the prediction accuracy. New hydrological insights for the region: The matching pursuit algorithm considerably decreases the noise interference and the complexity of the runoff. The effectiveness of the proposed method is shown through comparison with typical denoising methods. Meanwhile, multi-scale daily rainfall data acquired through rainfall data decomposition have stronger correlation with runoff components. Through data preprocessing methods and strongly correlated factors, despite the significant fluctuations and severe seasonal variations observed at the three selected test hydrological stations in the Huaihe River basin, the proposed model still achieves accurate prediction results. This offers new viewpoints on forecasting runoff in basins characterized by significant flow variations.

The hypoxic tumor microenvironment (TME) of osteosarcoma (OS) is the Achilles’ heel of oxygen-dependent photodynamic therapy (PDT), and tremendous challenges are confronted to reverse the hypoxia. Herein, we proposed a ''reducing expenditure of O2 and broadening sources'' dual-strategy and constructed ultrasmall IrO2@BSA-ATO nanogenerators (NGs) for decreasing the O2-consumption and elevating the O2-supply simultaneously. As O2 NGs, the intrinsic catalase (CAT) activity could precisely decompose the overexpressed H2O2 to produce O2 in situ, enabling exogenous O2 infusion. Moreover, the cell respiration inhibitor atovaquone (ATO) would be at the tumor sites, effectively inhibiting cell respiration and elevating oxygen content for endogenous O2 conservation. As a result, IrO2@BSA-ATO NGs systematically increase tumor oxygenation in dual ways and significantly enhance the antitumor efficacy of PDT. Moreover, the extraordinary photothermal conversion efficiency allows the implementation of precise photothermal therapy (PTT) under photoacoustic guidance. Upon a single laser irradiation, this synergistic PDT, PTT, and the following immunosuppression regulation performance of IrO2@BSA-ATO NGs achieved a superior tumor cooperative eradicating capability both in vitro and in vivo. Taken together, this study proposes an innovative dual-strategy to address the serious hypoxia problem, and this microenvironment-regulable IrO2@BSA-ATO NGs as a multifunctional theranostics platform shows great potential for OS therapy.

Advanced stages of breast cancer are frequently complicated by bone metastases, which cause significant cancer-related bone destruction and mortality. However, the early precise theranostics of bone metastasis remains a formidable challenge in clinical practice. Herein,a novel all-in-one nanotheranostic system (ABI NYs) combining NIR-II FL/PA dual-modal imaging with photothermal-immunity therapeutic functionalities in one component was designed to precisely localize bone metastasis microscopic lesions and achieve complete tumor ablation at an early stage. The surface modification of the nanosystem with ibandronate (IBN) facilitates both passive and active targeting, significantly improving the detection rate of bone metastasis and suppressing the bone resorption. Superior photothermal performance produces sufficient heat to kill tumor cells while stimulating the upregulation of heat shock proteins 70 (HSP70), which triggers the immunogenic cell death (ICD) effect and the anti-tumor immune response. These all-in-one nanosystems precisely demonstrated early lesion localization in bone metastases and total tumor ablation with a single integration via “one-component, multi-functions” technique. To sum up, ABI NYs, as novel biomineralizing nanosystems integrated with anti-tumor and bone repair, present a synergistic therapy strategy, providing insight into the theranostics of bone metastases and clinical research.

Abstract Soil moisture (SM) is a critical element of the hydrological cycle, land surface processes, and surface energy balance. However, the low spatial resolution of commonly used SM products limits the application of SM in agriculture and eco‐hydrology in cold and arid regions. In this study, the normalized difference soil index (NDSI) and bare soil index (BSI) were added to traditional downscaling factors including land surface temperature, normalized difference vegetation index, digital elevation mode, apparent thermal inertia, Albedo, and temperature vegetation dryness index, as they are more strongly correlated with surface SM in the bare soil‐vegetation alternation zone of such region. Using the random forest algorithm, a downscaling model of SM was constructed for such region. The accuracy of the downscaled SM estimates was validated by comparing them with the original SM data collected from May to September 2021, which is the non‐freezing period of the soil. The findings indicate that the newly added NDSI and BSI have good correlation with SM. Incorporating NDSI and BSI to construct the downscaled model enhances the accuracy by over 19% compared to excluding them, while also providing a more comprehensive representation of SM information. NDSI and BSI can be well applied to the downscaled research of SM in the bare soil‐vegetation alternation zone, which is of great value for the study of eco‐hydrology and agricultural drought monitoring in cold and arid regions.

Abstract The precise theranostics of rheumatoid arthritis (RA) remains a formidable challenge in clinical practice. Exploring novel applications of contemporary therapeutic approaches like chemo‐radiotherapy is promising as a highly effective strategy for RA. Herein, a novel activatable nanoradiosensitizer‐40 (denoted as IRnR‐40) is developed, based on encapsulating the clinically approved drugs cisplatin (DDP) and indocyanine green (ICG) within a gelatin shell to achieve second near‐infrared fluorescence (NIR‐II FL) imaging‐guided safe‐dose synergetic chemo‐radiotherapy. The high concentration of matrix metalloproteinase‐9 (MMP‐9) in the RA microenvironment plays a pivotal role in triggering the responsive degradation of IRnR‐40, leading to the rapid release of functional molecules DDP and ICG. The released ICG serves the dual purpose of illuminating the inflamed joints to facilitate accurate target volume delineation for guiding radiotherapy, as well as acting as a real‐time reporter for quantifying the release of DDP to monitor efficacy. Meanwhile, the released DDP achieves highly effective synergistic chemotherapy and radiosensitization for RA via the dual reactive oxygen species (ROS)‐mediated mitochondrial apoptotic pathway. To sum up, this activatable nanoradiosensitizer IRnR‐40 is believed to be the first attempt to achieve efficient NIR‐II FL imaging‐guided safe‐dose chemo‐radiotherapy for RA, which provides a new paradigm for precise theranostics of refractory benign diseases.

In the structural health monitoring of vibration systems, varying excitation always affects the accuracy of damage identification. The proposed symbolic three-order square matrix damage detection method with the matrix norm as a damage indicator can solve the difficult problem of damage identification under ambient excitation. The new sampling pattern extracts data from signals in the time domain at specific intervals based on the structural properties with the help of the autocorrelation coefficient. Then, the data extracted are converted into symbols and arranged into a three-order square matrix, and the Frobenius norm of the matrix is used for structural damage identification as a reliable damage indicator. In this process, the transmissibility function is employed to eliminate the effects of varying excitation. First, the method was verified by a cracked simply supported beam—a simulated Abaqus model. Then, a wooden truss bridge in the laboratory and an actual engineering scenario under ambient excitation together demonstrated the effectiveness and accuracy of the damage identification method and proved the proposed method to be robust to different types of damage under ambient excitation. Compared with other related methods, this method is more intuitive and efficient.

Intercropping systems and exogenous microorganism additives are recognized for their potential to influence silage fermentation and quality. This study aims to evaluate the impacts of maize–lablab bean intercropping and lactic acid bacteria (LAB) additives on silage yield, nutritional quality, and economic profitability. A randomized block design was employed with two cropping patterns—maize monocrop (M) and maize–lablab intercrop (ML)—and five additive treatments: No additives (CK), and varying ratios of Lactobacillus Plantarum (LP) and Lactobacillus Buchneri (LB), T1 (100% LP), T2 (9LP:LB), T3 (8LP:2LB), and T4 (100% LB). The silage was analyzed and evaluated for its nutritional quality, fermentation quality, and fermentation effect after 90 days of fermentation. ML intercropping significantly enhanced the fresh matter yields by 8.59% and crude protein content by 8.73% compared to M. From the point of view of inoculation with different lactobacilli, the pH, AA, and NH3-N/TN were lower in the T2 and T3 treatments than in the other treatments, while LA was significantly higher. The V-score, which reflects the overall fermentation quality, was excellent across all treatments, with scores exceeding 80 points; the T2 treatment in ML silage achieved the highest score of 99.58. In addition, intercropping can increase the net income of farmers by 21.67%. In conclusion, maize–lablab intercropping combined with LAB inoculation, particularly with the T2 and T3 treatments, significantly enhances the silage quality and economic returns by reducing pH, increasing the LA content, and improving the CP levels. This study is the first to comprehensively analyze the synergistic effects of altering cropping systems and adding functional microorganisms on forage yield and fermentation quality, offering strategic insights for farms, especially mixed farms, to produce high-quality feed. We recommend adopting these methods to improve feed quality and maximize the profitability of silage production systems.

This paper applied the prevalent acoustic emission (AE) technology to identify the damage modes and critical conditions for FRP/steel-concrete composite beams during the failure process. AE signals generated by the structural damages were classified efficiently by using a novel self-adaptive real-time clustering (SARTC) method; damage modes corresponding to each clustering category were recognized and analyzed, and the dominant damage type at different stages was obtained by comparing the AE activities and feature values. By conducting the AE intensity analysis, the dynamic evolutionary mechanisms and critical conditions of composite beams were identified; the increase in intensity value from 0.2 to 0.3 reflects the process from critical yielding to major fracture. By establishing the non-linear fitting model between local response and cumulative AE energy, the instantaneous status at arbitrary local position of the composite beam can be inverted and predicted quantitatively by independent AE testing.

To improve the accuracy of in situ measurement of the standard volumes of pipe provers and to shorten the traceability chain, a new method of in situ pipe prover volume measurement was developed alongside a supporting measurement device. This method is based on the geometric dimension approach, which measures the inner diameter and length of a pipe prover to calculate its volume. For inner diameter measurement, a three-probe inner-diameter algorithm model was established. This model was calibrated using a standard ring gauge of Φ313 mm, with the parameters calculated through fitting. Another standard ring gauge of Φ320 mm was used to verify the inner diameters determined by the algorithmic model. A laser interferometer was employed for the segmented measurement of the pipe prover length. The comprehensive measurement system was then used for in situ measurement of the standard pipe prover. The newly developed system achieved an expanded uncertainty of 0.012% (k = 2) in volume measurement, with the deviation between the measured and nominal pipe prover volumes being merely 0.007%. These results demonstrate that the proposed in situ measurement method offers ultra-high-precision measurement capabilities.

The traditional k-means algorithm is widely used in large-scale data clustering because of its easy implementation and efficient process, but it also suffers from the disadvantages of local optimality and poor robustness. In this study, a Csk-means algorithm based on contour similarity is proposed to overcome the drawbacks of the traditional k-means algorithm. For the traditional k-means algorithm, which results in local optimality due to the influence of outliers or noisy data and random selection of the initial clustering centers, the Csk-means algorithm overcomes both drawbacks by combining data lattice transformation and dissimilar interpolation. In particular, the Csk-means algorithm employs Fisher optimal partitioning of the similarity vectors between samples for the process of determining the number of clusters. To improve the robustness of the k-means algorithm to the shape of the clusters, the Csk-means algorithm utilizes contour similarity to compute the similarity between samples during the clustering process. Experimental results show that the Csk-means algorithm provides better clustering results than the traditional k-means algorithm and other comparative algorithms.

To analyze the research trends and hot frontiers in the field of fruit nondestructive testing and provide a reference for the research in this field, based on the bibliometric software CiteSpace, relevant literatures published in the core databases of CNKI and Web of Science from 2012 to 2022 are taken as the main body. Quantitative visualization research was conducted on the number of publications, authors, countries, institutions, hotspots, and frontiers of this research field. A total of 1322 literatures in Chinese and 3526 literatures in foreign languages were included. The number of literatures published at home and abroad showed an overall increasing trend. The cooperation groups of foreign researchers were larger, and China and the United States have become the most influential countries in this field. It can be seen from the analysis that the research focus is the apple, the quality detection of fruit is the research frontier, and the spectral analysis technology is the most commonly used research method in this field. Relevant researches at home and abroad were consistent in the hot fields, but the emphases and research progress were slightly different. Based on this, China should strengthen the academic cooperation between research groups in the future, and pay attention to the research frontier in this field. Combined with the updating of computer field, the new detection technology will be a new research direction.

In this experiment, blunt-snout bream was used as raw material, and the pickled blunt-snout bream was processed by two traditional drying methods, sun-drying and shade-drying, and by measuring peroxide value, acid value, anisidine value, polydilute index, carbonyl value, fatty acid content combined with the determination of volatile compounds, electronic nose and sensory evaluation to explore the characteristic flavor compounds of dried fish in different traditional drying methods and overall flavor differences. The results showed that the oxidation value, acid value, anisidine value, polydilute index and carbonyl value of blunt-snout bream dried in sunlight were higher than those in the shade-drying and undried groups. The relative content of unsaturated fatty acids in sun-dried blunt-snout bream was lower than that of shade-dried and undried blunt-snout bream, especially oleic acid (C18:1n9), linoleic acid (C18:2n9), and linolenic acid (C18:3n3) were significantly lower. Different drying methods had a greater impact on the overall odor and volatile flavor compounds of blunt-snout bream. The main types of volatile substances produced by the two drying methods were 28 and 23, respectively, and 20 in the wet group. Most of the characteristic flavor substances in sun dried fish were aldehydes and alcohols. Sun-dried blunt-snout bream had stronger halal flavor and meat flavor, shade-dried blunt-snout bream has more pronounced fishy smell and rancidity, and undried blunt-snout bream had a strong fishy smell and fragrance. The correlation results showed that the aroma compounds of blunt-snout bream were positively correlated with fat oxidation, and significantly negatively correlated with typical monounsaturated fat plugs and polyunsaturated fatty acids. Fat oxidation was an important pathway for the formation of aroma in blunt-snout bream, and sunlight promoted fat oxidation, the formation of flavor and aroma accumulation in blunt-snout bream.

Abstract Objective Ankylosing spondylitis (AS) is a progressive systemic disease characterized by a chronic inflammatory response in the sacroiliac joints and spine. Long noncoding RNAs suggest significant actions in the progression of AS. Therefore, a specific lncRNA, highly upregulated in liver cancer (HULC), was studied here regarding its functions and related mechanisms in AS. Methods Measurements of miR-556-5p, HULC, and YAP1 expression were performed on AS cartilage tissues and chondrocytes. The interaction between miR-556-5p and HULC or YAP1 was verified. CCK-8, flow cytometry and enzyme-linked immunosorbent assay were used to evaluate the effects of HULC, miR-556-5p, and YAP1 on the proliferation, apoptosis, and inflammatory response of AS chondrocytes. Furthermore, the action of HULC/miR-556-5p/YAP1 was experimentally observed in AS mice. Results HULC and YAP1 levels were augmented, while miR-556-5p levels were suppressed in AS cartilage tissues and chondrocytes. Downregulating HULC or upregulating miR-556-5p stimulated chondrocyte proliferation and inhibited apoptosis and inflammation in AS. miR-556-5p was a downstream factor of HULC, and YAP1 was a potential target of miR-556-5p. The improvement effect of downregulated HULC on AS chondrocytes was saved when YAP1 expression was forced. In addition, silence of HULC improved the pathological injury of spinal cartilage in AS mice by enhancing miR-556-5p-related regulation of YAP1. Conclusion HULC inhibition relieves the inflammatory response in AS by reducing miR-556-5p-mediated YAP1 expression.

A new theoretical-based constitutive model has been proposed in this study to concurrently predict the ageing and coupled creep-ageing behavior in both micro and macro ways of aluminum alloys under complex thermal and mechanical loading histories. The nucleation, growth and coarsening theories for age strengthening of aluminum alloys have been modified with the integration of dislocation-based theories raised by plastic or creep deformation to form the new theoretical-based creep-ageing modelling framework. Both the key microstructures (precipitates, solid solutes and dislocations) and macro properties (creep/stress-relaxation, yield strength and strengthening components) under various thermal and loading histories (e.g., single-step/multi-step isothermal and non-isothermal, pre-strain loaded) of a typical Al–Zn–Mg alloy have been effectively predicted and validated by the same set model. Furthermore, the capability of the developed model to reveal the detailed deformation and strengthening mechanisms with complex thermal and loading histories, and to assist the design of complex non-isothermal creep-ageing processes with optimization objectives of accurate shape and high strength in the formed alloys has been discussed and demonstrated.

IntroductionChimeric antigen receptor natural killer (CAR-NK) cells have been found to be successful in treating hematologic malignancies and present potential for usage in solid tumors.MethodsIn this study, we created CD276-targeted CAR-expressing NK cells from pluripotent stem cells (iPSC CD276-targeted CAR-NK cells) and evaluated their cytotoxicity against esophageal squamous cell carcinoma (ESCC) using patient-specific organoid (PSO) models comprising of both CD276-positive and CD276-negative adjacent epithelium PSO models (normal control PSO, NC PSO) as well as primary culture of ESCC cell models. In addition, in vitro and in vivo models such as KYSE-150 were also examined. iPSC NK cells and NK-free media were used as the CAR-free and NK-free controls, respectively.ResultsThe positive CD276 staining was specifically detected on the ESCC membrane in 51.43% (54/105) of the patients of all stages, and in 51.35% (38/74) of stages III and IV. The iPS CD276-targeted CAR-NK cells, comparing with the iPS NK cells and the NK-free medium, exhibited specific and significant cytotoxic activity against CD276-positive ESCC PSO rather than CD276-negative NC PSO, and exhibited significant cytotoxicity against CD276-expressing cultured ESCC cells, as well as against CD276-expressing KYSE-150 in vitro and in BNDG mouse xenograft.DiscussionThe efficacy of the iPSC CD276-targeted CAR-NK cells demonstrated by their successful treatment of CD276-expressing ESCC in a multitude of pre-clinical models implied that they hold tremendous therapeutic potential for treating patients with CD276-expressing ESCC.

Amorphous silicon (a-Si) metasurfaces demonstrate remarkable light manipulation capabilities owing to their high refractive index and low loss characteristics. However, the low thermal conductance intrinsic to a-Si leads to substantial heat accumulation during beam modulation, which may cause thermal damage and limit the permissible intensity of the incident beam. Here, laser-induced crystallization to improve the thermal transport properties of the a-Si-based metasurface is proposed. Raman spectroscopy analysis identifies the crystallization thresholds of a-Si at 1.10 × 105 and 9.78 × 104 W/cm2, corresponding to laser spot radii of 1.30 and 0.54 μm, respectively. The maximum temperature rise in the crystallized silicon metasurface is 52% lower than that in the a-Si one under the identical incident power intensity. Furthermore, the crystallized polycrystalline silicon metasurface still maintains excellent optical response with high transmission and 2π phase control. These findings provide an effective strategy for augmenting heat dissipation in amorphous metasurface systems, potentially extending their utility at high laser fluence.

This paper presents a multi-algorithm fusion model (StackingGroup) based on the Stacking ensemble learning framework to address the variable selection problem in high-dimensional group structure data. The proposed algorithm takes into account the differences in data observation and training principles of different algorithms. It leverages the strengths of each model and incorporates Stacking ensemble learning with multiple group structure regularization methods. The main approach involves dividing the data set into K parts on average, using more than 10 algorithms as basic learning models, and selecting the base learner based on low correlation, strong prediction ability, and small model error. Finally, we selected the grSubset + grLasso, grLasso, and grSCAD algorithms as the base learners for the Stacking algorithm. The Lasso algorithm was used as the meta-learner to create a comprehensive algorithm called StackingGroup. This algorithm is designed to handle high-dimensional group structure data. Simulation experiments showed that the proposed method outperformed other R2, RMSE, and MAE prediction methods. Lastly, we applied the proposed algorithm to investigate the risk factors of low birth weight in infants and young children. The final results demonstrate that the proposed method achieves a mean absolute error (MAE) of 0.508 and a root mean square error (RMSE) of 0.668. The obtained values are smaller compared to those obtained from a single model, indicating that the proposed method surpasses other algorithms in terms of prediction accuracy.

Background: This study was designed to investigate the relationship of irisin with the severity of Parkinson’s disease (PD) and dopamine (DOPA) uptake in patients with PD and to understand the role of irisin in PD. Methods: The plasma levels of irisin and α-syn were measured by enzyme-linked immunosorbent assay (ELISA). Motor and nonmotor symptoms were assessed with the relevant scales. DOPA uptake was measured with DOPA positron emission tomography (PET)/magnetic resonance imaging (MRI). Results: The plasma levels of α-syn and irisin in patients with PD gradually increased and decreased, respectively, with the progression of the disease. There was a negative correlation between plasma α-syn and irisin levels in patients with PD. The level of irisin in plasma was negatively correlated with Unified Parkinson’s Disease Rating Scale (UPDRS)-III scores and positively correlated with Montreal Cognitive Assessment (MoCA) scores. The striatal/occipital lobe uptake ratios (SORs) of the ipsilateral and contralateral caudate nucleus and anterior and posterior putamen in the high-irisin group were significantly higher than those in the low-irisin group, and irisin levels in the caudate nucleus and anterior and posterior putamen contralateral to the affected limb were lower than those on the ipsilateral side. The level of irisin was positively correlated with the SORs of the ipsilateral and contralateral caudate nucleus and putamen in PD patients. Conclusions: Irisin plays a neuroprotective role by decreasing the level of α-syn. Irisin is negatively correlated with the severity of motor symptoms and cognitive impairment. More importantly, irisin can improve DOPA uptake in the striatum of patients with PD, especially on the side contralateral to the affected limb.

Background: Cognitive impairment is a serious nonmotor symptom in patients with Parkinson's disease (PD). Currently, there are few studies investigating the relationship of serum markers and retinal structural changes with cognitive function in PD. Objective: To investigate the relationship between retinal structural changes, serum high mobility group box-1 (HMGB1) levels and cognitive function and motor symptoms in PD patients. Methods: Eighty-nine participants, including 47 PD patients and 42 healthy subjects, were enrolled. PD patients were divided into Parkinson's disease with normal cognitive (PD-NC), Parkinson's disease with mild cognitive impairment (PD-MCI), and Parkinson's disease with dementia (PDD) groups. The motor and nonmotor symptoms of PD patients were evaluated with clinical scale. Serum HMGB1 levels were detected by enzyme-linked immunosorbent assay (ELISA), and ganglion cell-inner plexiform layer complex (GCIPL) thickness changes in the macula were quantitatively analyzed by swept source optical coherence tomography (SS-OCT) in all patients. Results: Compared with the control group, the macular GCIPL (t = −2.308, P = 0.023) was thinner and serum HMGB1 (z = −2.285, P = 0.022) was increased in PD patients. Macular GCIPL thickness in patients with PD-MCI and PDD were significantly lower than that in PD-NC patients, but there were no significant difference between the PD-MCI and PDD groups. Serum HMGB1 levels in patients with PD-MCI and PDD were significantly higher than those in PD-NC patients, and serum HMGB1 levels in PDD patients were higher than those in PD-MCI patients. Correlation analysis showed that serum HMGB1 levels in PD patients were positively correlated with disease duration, HY stage, UPDRS-I score, UPDRS-III score, and UPDRS total score and negatively correlated with MOCA score. Macular GCIPL thickness was negatively correlated with HY stage and positively correlated with MOCA score, and macular GCIPL thickness was negatively correlated with serum HMGB1 level. Logistic regression analysis showed that elevated serum HMGB1 level, thinner macular GCIPL thickness, and higher HY stage were independent risk factors for Parkinson's disease with cognitive impairment (PD-CI). The areas under the receiver operating characteristic curve (AUC) for the serum HMGB1 level and macular GCIPL thickness-based diagnosis of PD-MCI, PDD and PD-CI based on in patients with PD were 0.786 and 0.825, 0.915 and 0.856, 0.852 and 0.841, respectively. The AUC for the diagnosis of PD-MCI, PDD and PD-CI with serum HMGB1 level and GCIPL thickness combined were 0.869, 0.967 and 0.916, respectively. Conclusion: The macular GCIPL thickness and serum HMGB1 level are potential markers of cognitive impairment in PD patients, and their combination can significantly improve the accuracy of the diagnosis of cognitive impairment in PD.

The special electronic configuration of phosphorus atoms endows organophosphorus reagents with unique chemical properties, which enable them to be used to catalyze various organic reactions, such as the Wittig reaction, Staudinger reaction, Appel reaction and Mitsunobu reaction. However, the catalytic process will be accompanied by the generation of large amounts of phosphine oxide waste, resulting in the reduction of atom utilization of the reaction, and it is difficult to separate the product. Therefore, it is essential to explore a greener and more sustainable organic synthesis route based on the catalytic cycle of phosphine oxide as a model. This paper summarizes the catalytic cycle and recycling of phosphorus with or without reducing agents and reviews the related developments in recent decades: from the addition of stoichiometric strong reducing agents, to the design of ring phosphines with specific structures, to the development of new energy inputs (electrochemistry), to the addition of a series of compounds to activate the P(V)O double bond, driving the catalytic cycle of phosphine oxide through chemical transformation. This review also points out the development potential of this field in the future, which will promote its development and progress in a greener direction.

Lactobacillus fermentum (L. fermentum) was first evaluated as a potential advanced glycation end-product (AGE) formation inhibitor by establishing a bovine serum albumin (BSA) + glucose (glu) glycation model in the present study. The results showed that the highest inhibition rates of pentosidine and total fluorescent AGEs by L. fermentum were approximately 51.67% and 77.22%, respectively, which were higher than that of aminoguanidine (AG). Mechanistic analysis showed that L. fermentum could capture methylglyoxal and glyoxal, inhibit carbonyl and sulfhydryl oxidation, reduce the binding of glucose and amino groups, increase total phenolic content and antioxidant activity, and release intracellular substances to scavenge free radicals; these abilities were the basis of the antiglycation mechanism of L. fermentum. In addition, L. fermentum significantly prevented conformational changes in proteins during glycation, reduced protein cross-linking by 35.67%, and protected the intrinsic fluorophore. Therefore, the inhibition of L. fermentum on glycation mainly occurs through antioxidation, the capture of dicarbonyl compounds, and the protection of the BSA structure. These findings collectively suggest that Lactobacillus is an inhibitor of protein glycation and AGE formation and has the potential for nutraceutical applications.

Walnut, a woody plant, is regarded as having difficulty rooting when propagated by vegetative methods, such as cutting and layering. A layering experiment was conducted in 2018 and 2022. In 2018, some Juglans species, including J. regia L. seedling (JR), J. regia cv. Liaoning 1 (JR LN1), J. hopeinesis Hu seedling (JH), J. mandshurica Maxim seedling (JM), and J. nigra L. seedling (JN), were the mother plants. The specific research hypotheses were that own-rooted walnut propagule could be obtained through layering. the rooting capacity of different Juglans species would be different, and the rooting ability of JN would be the highest among the samplings. The results indicated that all of these species in the experiment could be rooted by etiolation and indole-3-butyric acid (IBA) treatment and that root occurrence was found 6 to 7 weeks after IBA treatment. The layers (shoots from the mother plant) on the seedlings of JR, JH, and JM obtained rooting percentages (RP) of 75.55%, 84.45%, and 86.67%, respectively, and root numbers (RNs) of 21.8, 42.8, and 38.8, respectively, after 20 days of etiolation and 1% IBA treatment. JR LN1 had difficulty rooting in equal conditions and had a RP of 31.11%. In 2022, JR LN1 was the only mother plant and the IBA concentration was increased to obtain satisfactory RP and RN. With the 4% and 8% IBA treatments, RPs of 88.9% and 93.3% and RNs of 40.3 and 27.7, respectively, were achieved. During the experiment, the RP, RN, root length (RL), and root diameter (RD), as well as the layer height (LH) and layer diameter (LD), were investigated and evaluated. Layers with low vigor were more likely to root, as shown by a nonparametric test conducted for the height and diameter of the layers of the rooting and nonrooting groups. A significantly negative correlation (r = −0.548) was observed between RN and LH. Moreover, the quality of the best results of JR LN1 layering propagule and that with ‘liaoning 1’ 1-year-old seedling were compared. Our results provide more support for the possibility of vegetative propagation of walnut by layering and more information regarding the clonal cultivation of walnut trees and the own-rooted seedling establishment of walnut cultivars.

Finite element model updating provides an important supplement for finite element modelling. However, some studies have shown that if the tested structure involves local nonlinearities due to damages, material properties and large deformation et al., it is difficult to achieve an accurate modified model using conventional model updating methods that are based on the assumption of linear structures. To address this issue, a two-stage model updating method separating the effects of local nonlinearities is proposed in this paper. Firstly, the underlying linear frequency response function is obtained by using the conditioned reverse path method. Then, combined with the Sherman-Morrison-Woodbury formula and the model updating objective function established by the frequency response function similarity metric, then structural model updating and damage detection are carried out as the second stage. Three numerical examples are given to illustrate the effectiveness of the proposed method. This method can not only accurately identify the location and quantify the extent of structural damages, but also has the advantages of not based on sensitivity, not depending on the selection of frequency points, not repeatedly calling the initial model et al. The proposed method has high computational efficiency and avoids the numerical problems often encountered by conventional frequency response function-based model updating methods.

Dissolved oxygen (DO) in water bodies is a prerequisite for fish survival and plays a crucial role in fish growth, development, and physiological processes. However, with increasing eutrophication, greenhouse effects, and extreme weather conditions, DO levels in aquatic environments often become lower than normal. This leads to stress in fish, causing them to exhibit escape behavior, inhibits their growth and development, and causes tissue damage. Moreover, oxidative stress, decreased immune function, and altered metabolism have been observed. Severe hypoxia can cause massive fish mortality, resulting in significant economic losses to the aquaculture industry. In response to hypoxia, fish exhibit a series of behavioral and physiological changes that are self-protective mechanisms formed through long-term evolution. This review summarizes the effects of hypoxic stress on fish, including the asphyxiation point, behavior, growth and reproduction, tissue structure, physiological and biochemical processes, and regulation of gene expression. Furthermore, future research directions are discussed to provide new insights and references.

This study aimed to investigate the effects of mesenchymal stem cell exosomes loaded with Fe3O4 magnetic particles (Fe3O4@ MSC-exo) on the survival and neural differentiation of PC12 cells. Exosomes were separated from Fe3O4 magnetic nanoparticles-primed umbilical cord mesenchymal stem cells condition medium by ultracentrifugation and characterized by transmission electron microscopy, flow nano analysis, and western blotting. PC12 cells were treated with culture medium containing exosomes. The effects of Fe3O4@ MSC-exo on PC12 cell proliferation, migration, and neural differentiation were analyzed using CCK-8 assay, transwell migration assay, RT-qPCR, and immunofluorescence, respectively. Additionally, miRNA sequencing was performed on Fe3O4@ MSC-exo, followed by bioinformatic analysis of the results. We found that Fe3O4@ MSC-exo can promote PC12 cell proliferation, migration, and neural differentiation. According to the sequencing results, there were a total of 43 differentially expressed miRNAs. The present study indicated that Fe3O4@ MSC-exo might enhance nerve cell function, laying the foundation for targeted therapy of nerve injury.

Abstract Management and protection of regional water resources requires an understanding of the hydrological characteristics and water quality changes. In this study, we combined isotopic, geochemical and hydrometric measurements to investigate hydrological characteristics and water quality changes during the interactions between surface water and groundwater in mountain river valley. Our results showed that the stable isotope values in most of the groundwater and river water samples were located above the middle of the local meteoric water line in a mountain river valley. The hydrochemical types of most of the groundwater and river water samples were Ca–Mg–HCO3 and were primarily dominated by rock weathering. The hydrochemical compositions of groundwater and river water were mainly affected by carbonate dissolution and cation exchange, but influences of saltwater intrusion and human activity were found at the lakeside. Precipitation was the main factor affecting the changes in hydrological processes at these groundwater and river water sites and they were also affected by meltwater, soil water and the interaction between groundwater and surface water. The water level of the river increased, and the recharge of the groundwater by river water increased in river valley during the rainy season, which led to an increase runoff path in groundwater. The interaction between the river water and groundwater was affected by the rainfall frequency and intensity, the recharge time of the soil water and the pressure of the river on both sides of the river channels. Additionally, our results indicated that the flow of groundwater into the river will lead to water quality deterioration. The increasing pressure of the river on the groundwater will cause the deterioration of groundwater quality, which will also be affected by saltwater intrusion and human activity. Our results detailed the hydrological characteristics, water quality changes and main influencing factors of the interaction between surface water and groundwater of river valley in mountain, which will be beneficial to promote the reasonable protection of water resources under climate change in the future.