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There is a revolution taking place in the industrial sector as a result of intelligent technologies that optimise machinery. In light of the requirements of the present day, the traditional methods are not going to suffice. Within the scope of this research, a multi-criteria decision-making (MCDM) framework is proposed for the purpose of selecting appropriate smart technologies. We develop four novel operators: q-rung fuzzy Schweizer–Sklar power average (q-RFSSPA), q-rung fuzzy Schweizer–Sklar power weighted average (q-RFSSPWA), q-rung fuzzy Schweizer–Sklar power geometric (q-RFSSPG), and q-rung fuzzy Schweizer–Sklar power weighted geometric (q-RFSSPWG). These operators handle uncertainty and ambiguity in decision-making. We explore their properties to demonstrate their robustness. Using the logarithmic percentage change-driven objective weighing (LOPCOW) technique, we objectively determine the criteria weights. The weighted aggregated sum product assessment (WASPAS) method ranks alternatives, combining the benefits of the Weighted Sum and Weighted Product Models. Applied to a mid-sized manufacturing company, we evaluate five smart technologies with eight. The findings demonstrate that GV (Guided Vehicles) emerge as the most effective alternative. GV vehicles significantly enhance productivity by automating material transportation, reducing human error, and minimising transport time. This selection illustrates the framework’s practical value in optimising machinery operations and provides actionable guidance for businesses aiming to improve their production efficiency. The study contributes to the field by offering a robust methodology for technology selection and practical insights for both industry professionals and policymakers.

Prostate cancer (PCa) is a multifocal disease characterized by genomic and phenotypic heterogeneity within a single gland. In this study, Visium spatial transcriptomics (ST) analysis was applied to PCa tissues with different histological structures to infer the molecular events involved in Gleason score (GS) progression. The spots in tissue sections were classified into various groups using Principal Component Analysis (PCA) and Louvain clustering analysis based on transcriptome data. Anotation of the spots according to GS revealed notable similarities between transcriptomic profiles and histologically identifiable structures. The accuracy of macroscopic GS determination was bioinformatically verified through malignancy-related feature analysis, specifically inferred copy number variation (inferCNV), as well as developmental trajectory analyses, such as diffusion pseudotime (DPT) and partition-based graph abstraction (PAGA). Genes related to GS progression were identified from the differentially expressed genes (DEGs) through pairwise comparisons of groups along a GS gradient. The proteins encoded by the representative oncogenes UQCRB and LBH were found to be highly expressed in advanced-stage PCa tissues. Knockdown of their mRNAs significantly suppressed PCa cell proliferation and invasion. These findings were validated using The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA-PRAD) dataset, as well as through histological and cytological experiments. The results presented here establish a foundation for ST-based evaluation of GS progression and provide valuable insights into the GS progression-related genes UQCRB and LBH.

The influence of different heat treatment processes on the microstructure and mechanical properties of 18Ni300 stainless steel manufactured by selective laser melting has been investigated in the present study. The microstructures, nanoprecipitates, and mechanical properties of the differently heat-treated samples were analyzed using various precision instruments. Compared with a non-treated 18Ni300 stainless steel sample, the results showed that the microstructure was mainly composed of fine lath-like martensite, with a large number of nano-precipitates dispersed both within the martensite and in the boundaries. In addition, there was a preserved amount of austenite between the lath-like martensite and the spherical nanoprecipitate in the SAT sample. The interactions between the martensite matrix and the nanoprecipitates and dislocations were assumed to be the main reason for the high strength of 18Ni300 stainless steel. These precipitates included rod-shaped or needle-shaped, Ni3Ti, Ni3Mo, and Ni3(Ti, Mo) nano-precipitates, as well as spherical Ti–Al nano-oxidized precipitates and massive Ni-rich precipitates. The shear and by-pass mechanisms between the strengthened nano-precipitate and the dislocations were found to depend on the size of the nanoprecipitate. The influence of the nanoprecipitation on the indentation hardness became more evident after heat treatment, but the effect on the indentation modulus was not that obvious. The AT- and SAT-treatments significantly improve the strength, hardness, and modulus of samples but were found to reduce the toughness and plasticity. After the AT- and SAT-treatments, the protrusions became smaller, and the small isometric protrusion of a shear lip became significantly smaller than for the as-built material.

The use of nanocarbon materials to enhance the toughness of fragile cementitious materials has attracted increasing attention for investigation. This study examines the effects of incorporating graphene oxide (GO) into NaOH-activated slag (AAS) pastes and mortars, focusing on workability, phase composition, mechanical properties, and the local mechanical properties of the interfacial transition zone (ITZ) between sand and paste. The experimental results indicate that the addition of GO decreases the flowability of NaOH-AAS pastes, with noticeable aggregation at concentrations above 0.03 wt%. Furthermore, GO enhances the hydration degree of ground granulated blast furnace slag (GGBS), leading to an increased amount of C-A-S-H gel without introducing new phases. In terms of macro performance, incorporating 0.03 wt% GO significantly improves the compressive and flexural strengths of NaOH-AAS mortars by 10.6 % and 17.9 %, respectively. Additionally, the presence of GO reduces the ITZ thickness from 30 to 15 micrometres in NaOH-AAS mortars, which likely contributes to the enhanced mechanical performance.

A crystal plasticity model based on Electron Backscatter Diffraction (EBSD) experimental data has been developed to simulate the tensile behavior of additively manufactured TiAl alloys at various temperatures. To accurately capture the activity of different slip systems and their contribution to the material's plasticity, multiple slip systems across different phases are considered. The validity of the model is verified by comparing the simulation results, such as microscopic properties, with experimental and test data. Additionally, a continuous damage model is incorporated to analyze the damage behavior of additively manufactured TiAl alloys at different temperatures. Compared to experimental data, the crystal plasticity model incorporating damage effectively simulates the tensile failure behavior of TiAl alloys across a range of temperatures.

Cri-du-chat syndrome (CDC, OMIM 123450) is a rare chromosomal syndrome that results from partial deletions on the short arm of chromosome 5, known as 5p minus. Substantial clinical and genetic heterogeneity were observed in CDC patients. Large efforts have been dedicated to correlating the deleted regions on 5p arm with observed symptoms in CDC patients. However, the genetic basis of many specific phenotypes, including the co-occurrence of Hirschsprung Disease (HSCR), have yet been clarified. Here, we conducted a study on two patients with CDC and HSCR using whole genome sequencing (WGS) analyses. Our WGS data confirmed the deletion regions on 5p associated with CDC and indicated potential unknown genetic mechanisms underlying HSCR. On the one hand, leveraging human single-cell atlas for developing enteric nervous system, we demonstrated that some affected genes in these two patients overlapped with those showing expression changes along the development pseudotime of enteric nervous cells (ENC) and overlapped with known HSCR genes including RET, NRG1, ERBB (ERBB2 and ERBB3), ITGB (ITGB1). On the other hand, integrating gene regulatory relationship estimated from single cell chromatin accessibility omics of enteric neurons, we found that the 5p deletion regions contained key cis-regulatory regions for HSCR-related gene GDNF. Taken together, our study reveals the genetic basis of HSCR or intestinal phenotypes in 5p minus patients, highlighting the importance of studying gene regulatory relationships to explain phenotypic heterogeneity.

Summary: This study explores the role of lncRNAs and mRNAs in venous thromboembolism (VTE) using an inferior vena cava (IVC) mouse model. RNA sequencing identified differentially expressed lncRNAs and mRNAs between model and control groups. Enrichment analyses revealed significant pathways, including HIF-1α signaling, glycolysis/gluconeogenesis, and platelet activation. A lncRNA-miRNA-mRNA network highlighted key regulatory interactions. Validation using qRT-PCR confirmed the RNA-seq findings. These results provide insights into the molecular mechanisms of VTE and suggest potential biomarkers and therapeutic targets for thrombosis.

Habitat quality of coastal waters is under threat from frequent human activities (HA) and pressures from various sources. However, there were few effective and rational explorations of spatiotemporal changes and influencing factors in coastal waters habitat quality. By integrating coastal waters ecology, environment, and HA, an optimized InVEST model was used to assess coastal waters habitat quality which incorporated the benthic biodiversity index. The optimized model was verified through both practical and theoretical assessments. Geographic spatial analysis, Hierarchical Partitioning (HP), and GeoDetector methods were used to explore spatiotemporal changes and influencing factors of habitat quality in the coastal waters of Jiangsu Province over three periods, namely 2006–2010, 2011–2015, and 2016–2020. During the 15-year period, habitat quality declined in 67.63% of Jiangsu Province’s coastal waters. The Plankton Diversity Index (PDI) had the strongest positive impact on coastal waters habitat quality between 2006 and 2010, whereas environmental pollution-related factors, and HA had the least impact. In contrast, the most significant decline in habitat quality between 2011 and 2015 coincided with intense human development and associated environmental challenges. The effects of HA and environmental pollution factors declined, while those of PDI increased between 2016 and 2020. However, potential effects of accumulated environmental pollution were observed, leading to uniform changes in habitat quality. The results indicated that the habitat quality of coastal waters was comprehensively influenced by a combination of factors, including ecological, environmental, and HA. Single factors and multiple factors affected habitat quality in 40.76% and 46.5% of the study area, respectively. This study presents an innovative and scientifically robust method for assessing habitat quality in coastal waters, providing decision-making support for integrated coastal management and sustainable marine development.

The accumulation of microplastics (MPs) in soils due to anthropogenic activities affects the growth and development of plants and thereby endangering the diversity and function of ecosystems. Although there is an increasing number of studies exploring the effects of MPs on plants in recent days, most of them focus on crops only. However, few studies have been conducted on woody plants that play a prominent role in ecosystems, while crucial edaphic factors which potentially restrain plant growth in MP-contaminated soils are yet to be revealed. In the current study, a 6-month pot experiment was conducted to investigate the inhibitory effect of soil polyethylene microplastics (PE-MPs) (average size of 6.5 µm) with increasing concentrations (0, 0.1 %, 0.5 %, 1 %, and 2 % w/w) on the growth of Cinnamomum camphora seedlings. The relationships between seedling growth and soil properties were also explored. The results showed that low concentrations of PE-MPs (not larger than 0.5 % in soils) did not restrain seedling growth, while the PE-MP concentrations of 1 % and 2 % decreased the net growth of ground diameter by 38.8 % (p

The widespread use of plasticizers poses a serious threat to the environment and poultry health. Di-(2-ethylhexyl) phthalate (DEHP) is a commonly used plasticizer that can cause liver damage with prolonged exposure. Oxidative stress is closely associated with DEHP toxicity. Macrophage polarization plays an important role in many physiological and pathological processes and regulates disease development. This study aims to elucidate the mechanism of chronic DEHP exposure leading to chicken liver injury through oxidative stress-induced M1 polarization-necroptosis. In this study, the DEHP exposure model of chicken liver and the single and co-culture model of LMH and HD11 cells were established. With increasing dose and time, DEHP decreased body weight, increased liver coefficient, raised activities of liver function indicators and caused pathological liver damage in chickens. Further studies revealed the increase of reactive oxygen species (ROS) level and malonaldehyde (MDA) content, and the decrease of total antioxidant capacity (T-AOC) level, total superoxide dismutase (T-SOD) and glutathione peroxidase (GSH-Px) activities, which led to excessive oxidative stress in the liver. In addition, there was increased infiltration of liver macrophages (CD68), upregulation of M1 polarization indicators (CD86, iNOS, IL-1β, TNF-α) and downregulation of M2 polarization indicators (CD163, Arg-1, IL-10, TGF-β) and appearance of necroptosis (RIPK1, RIPK3, MLKL). The vitro experiments confirmed the addition of N-acetylcysteine (NAC) inhibited M1 polarization and necroptosis. Besides, M1 polarization of HD11 cells promoted necroptosis of LMH cells in the HD11-LMH co-culture system. In brief, ROS-mediated M1 polarization-necroptosis is involved in DEHP-induced liver injury. This study provides a reference for environmental toxicant exposure in livestock and poultry farming.

Summary: Prostate cancer (PCa) exhibits significant intratumor heterogeneity, frequently manifesting as a multifocal disease. This study utilized Visium spatial transcriptomics (ST) to explore transcriptome patterns in PCa regions with varying Gleason scores (GSs). Principal component analysis (PCA) and Louvain clustering analysis revealed transcriptomic classifications aligned with the histology of different GSs. The increasing degree of tumor malignancy during GS progression was validated using inferred copy number variation (inferCNV) analysis. Diffusion pseudotime (DPT) and partition-based graph abstraction (PAGA) analyses predicted the developmental trajectories among distinct clusters. Differentially expressed gene (DEG) analysis through pairwise comparisons of various GSs identified genes associated with GS progression. Validation with The Cancer Genome Atlas Prostate Adenocarcinoma (TCGA-PRAD) dataset confirmed the differential expression of RBM39, a finding further supported by cytological and histological experiments. These findings enhance our understanding of GS evolution through spatial transcriptomics and highlight RBM39 as a gene associated with GS progression.

Inflammatory processes play a central role in the development and complications of cardiovascular diseases (CVDs), profoundly affecting the severity and prognosis of these events. However, the current tools used to measure inflammation have some limitations. Blood biomarkers cannot pinpoint the location of inflammation and are vulnerable to various factors. Histological assessments ex vivo cannot accurately reflect the full dynamic picture of pathophysiology. The rapid development of positron emission tomography (PET) imaging not only enhances our understanding of biological processes in vivo but also contributes significantly to clinical management as a non-invasive biomarker. This review summarizes the PET imaging of key immune cell responses in CVDs, including immune cell metabolism, ligand/receptor interactions, and enzyme secretion, and discusses emerging opportunities and challenges in PET imaging-based inflammatory phenotyping and future perspectives.

With the continuous development of Internet of Things technology and AI technology, a new generation of smart home systems is being promoted. Traditional smart home devices are complex to operate, resulting in high learning costs. They also lack security and reliability, and cannot guarantee the use and safety of the elderly and children, limiting their popularity. This system is based on ATMEGA2560 and IoT to design and implement a smart home system suitable for people of all ages. It solves complex operation problems through voice control, solves safety problems through fall detection, GPS positioning and light alarm control, and improves reliability through intelligent remote control. In addition, the system can sense fire, hazardous gases, and earthquakes and sound an alarm. The system reduces CPU occupancy time by changing the writing mode of the display module, thereby reducing the system's requirements for the processor and reducing the processor cost. In image processing, by recording a large number of faces, the recognition accuracy can be improved, the requirements and costs of image processing chips can be reduced, and low-cost remote video monitoring can be achieved.

Summary: Impaired β cell function is a hallmark of type 2 diabetes (T2D), but the underlying cellular signaling machineries that regulate β cell function remain unknown. Here, we identify that the interleukin-22 receptor subunit alpha 1 (IL-22RA1), known as a co-receptor for IL-22, is downregulated in human and mouse T2D β cells. Mice with β cell Il22ra1 knockout (Il22ra1βKO) exhibit defective insulin secretion and impaired glucose tolerance after being fed a high-fat diet (HFD) or an HFD/low dose of streptozotocin (STZ). Mechanistically, β cell IL-22RA1 deficiency inhibits cytochrome b5 reductase 3 (CYB5R3) expression via the IL-22RA1/signal transducer and activator of the transcription 3 (STAT3)/c-Jun axis, thereby impairing mitochondrial function and reducing β cell identity. Overexpression of CYB5R3 reinstates mitochondrial function, β cell identity, and insulin secretion in Il22ra1βKO mice. Moreover, the pharmacological activation of CYB5R3 with tetrahydroindenoindole restores insulin secretion in Il22ra1βKO mice, IL-22RA1-knockdown human islets, and Min6 cells. In conclusion, these findings suggest an important role of IL-22RA1 in preserving β cell function in T2D, which offers a potential therapeutic target for treating diabetes.

Hepatocellular carcinoma (HCC) is a common and deadly cancer, often diagnosed at advanced stages, limiting surgical options. Transcatheter arterial chemoembolization (TACE) is a primary treatment for inoperable and involves the use of drug-eluting microspheres to slowly release chemotherapy drugs. However, patient responses to TACE vary, with some experiencing tumor progression and recurrence. Traditional TACE uses agents like oil-based drug emulsions and polyvinyl alcohol particles, which can permanently block blood vessels and increase tumor hypoxia. Additionally, TACE can suppress the immune system by reducing immune cell numbers and function, contributing to poor treatment outcomes. New approaches, like TACE using degradable starch microspheres and hydrogel-based materials, offer the potential to create different tumor environments that could improve both safety and efficacy. In our research, we developed a composite hydrogel (IF@Gel) made of Poloxamer-407 gel and Fe3O4 nanoparticles, loaded with idarubicin, to use as an embolic material for TACE in a rat model of orthotopic HCC. We observed promising therapeutic effects and investigated the impact on the tumor immune microenvironment, focusing on the role of immunogenic cell death (ICD). The composite hydrogel demonstrated excellent potential as an embolic material for TACE, and IF@Gel-based TACE demonstrated significant efficacy in rat HCC. Furthermore, our findings highlight the potential synergistic effects of ICD with anti-PD-L1 therapy, providing new insights into HCC treatment strategies. This study aims to provide improved treatment options for HCC and to deepen our understanding of the mechanisms of TACE and tumor environment regulation.

Phascolosoma esculenta is an economically species inhabiting a soft substrate of mud in the intertidal zone, which is bad breathability, especially during the prolonged heavy rainstorms, that will bring hypoxia environment to P. esculenta. In this study, the negative impact of hypoxia on P. esculenta was firstly studied. The results showed that there were no P. esculenta died post 7 days hypoxia. However, P. esculenta surface became black after hypoxia stress and changed to brown after reoxygenation. The body cavity fluid’s total antioxidant capacity (T-AOC) showed notable increases at 48 h, 120 h, and 168 h post hypoxia stress and returned to the control level after reoxygenation. The contents of malondialdehyde (MDA) increased significantly at 24 h, 48 h, and 96 h but decreased substantially after reoxygenation. The activity of lactate dehydrogenase (LDH) increased during the hypoxia but decreased significantly after reoxygenation. Transcriptomic analysis was performed and a total of 55.26 GB of clean data were collected, 362 DEGs were obtained based on FPKM values, including 77 DEGs between control and hypoxia groups, 48 DEGs between control and reoxygenation groups, and 237 DEGs between hypoxia and reoxygenation groups. DEGs are enriched in pathways associated with immune system, carbon metabolism, apoptosis, ribosome and ion transport. These data enriched the molecular mechanism of invertebrate hypoxia tolerance and provided genetic material reference for future breeding of hypoxia-tolerant P. esculenta and other aquatic species.

Concrete-filled steel tubular (CFST) Structures often face challenges with debonding during construction, which can markedly compromise the structural integrity. The hydration of concrete can generate significant heat during construction, making the infrared thermography as a potential method for the defect detection. However, effects of concrete hydration behavior, debonding size, and environmental factors on the infrared thermal imaging of CFST debonding remains unclear. This study conducted experiments using four different hydration heating rates and three debonding sizes to simulate debonding detection using infrared imaging during the hydration phase of CFST. The feasibility of the simulation approach was validated through pair-to-pair comparison, and multiple linear regression analysis was employed to evaluate the impact of these factors. The findings highlight that absolute temperature difference has the most significant impact on detection effectiveness regardless of interaction effects. In regression models without interaction, heating rate demonstrated the least impact, Whereas the model considering the interaction showed that the interaction effect of heating rate and debonding size showed a secondary effect. Further examination indicated that interaction effects decrease as heating rate and debonding size decrease.

The safety and reliability of cables are directly linked to the safe operation of bridges as crucial load-bearing components. The accuracy and efficiency of current methods are still insufficient to segment and quantitatively characterize surface defects on cables. This paper proposes a novel and efficient method for the refined segmentation and quantitative characterization of bridge cable surface defects based on an improved you only look at coefficients++ (YOLACT++) model. For defect segmentation, several enhancements have been made to the YOLACT++ model, including incorporating the convolutional block attention module (CBAM), optimizing the anchor box generation mechanism, and introducing the smoother Mish activation function, which enhances both the accuracy and speed of defect detection. For quantitative characterization, the method adopts surface correction algorithms, pixel statistics, and crack skeleton extraction, resulting in a more accurate representation of defect areas and the length and width of cracks. Compared to the baseline model, the optimized model achieves a 3.58 % improvement in mean average precision (mAP) and an inference speed of 25.74 frames per second (FPS). The results show that the error is within 10 % compared with the manually measured area, which offers a more objective and comprehensive foundation for cable safety assessment.

ABSTRACT: Objectives: The dissemination of New Delhi metallo-β-lactamase-5 (NDM-5) among various species of Enterobacterales has attracted serious global attention. Here, we characterise the genomic characterisation of blaNDM-5-IncX3 plasmid (pNDM-KA3) in an ST4 Klebsiella aerogenes (KA3) strain isolated from a neonate with pneumonia. Methods: Antimicrobial susceptibility and multilocus sequence typing was performed for the KA3. The plasmid conjugation assay and plasmid stability of the KA3 (pNDM-KA3) were also analysed. The pNDM-KA3 plasmid was further analysed by whole-genome sequencing and comparative analysis to determine the genetic environment of blaNDM-5. Results: The KA3 strain belongs to ST4 and shows high resistance to β-lactam antibiotics, including carbapenems, but is susceptible to ciprofloxacin, amikacin, tigecycline, and colistin. The pNDM-KA3 was successfully transferred to the recipient E. coli J53 and showed strong stability in K. aerogenes. Genomic sequencing revealed that the pNDM-KA3 plasmid was assigned to plasmid incompatibility group X3 with 43367 bp, and a conserved structure sequence of △IS3000-△ISAba125-IS5-blaNDM-5-bleMBL- trpF-dsbC-IS26 was detected upstream and downstream of the blaNDM-5 gene. Further analysis revealed that insertion sequences mediated the dissemination of blaNDM-5 from other species of Enterobacterales. The pNDM-KA3 showed high similarity to blaNDM-5-harbouring plasmids in other species of Enterobacterales, with these plasmids carrying genes for replication (repB), partitioning (parA and parB), stability (hns), and conjugative transfer (virB and virD). Conclusions: Continued monitoring for the dissemination of blaNDM-5 among uncommon Enterobacterales species should be further reinforced.

Dendritic cells (DCs) are crucial for the initiation and regulation of innate and adaptive immunity. Their maturity and infiltration in the tumor largely determine the efficiency of antigen presentation, the CTL responses, and the prognosis of tumors. However, the application of common immunoregulatory plant polysaccharides to DCs in vivo still represents major challenges due to the off-target effect and short biological lifespan. Lonicera japonica Thunb. polysaccharides (LJP) were found to exert benign immunoregulatory ability, but the effectiveness of utilizing LJP alone is unsatisfactory. As a result, we innovatively encapsulated LJP in into the exosomes derived from mouse bone mesenchymal stem cells (BMSCs) to form a DC-activated inducer (LJP-exosome). LJP-exosomes possessed a profound ability to target lymph nodes and the co-stimulatory capability of DCs compared with the application of LJP alone. Adequate results have shown that DCs primed by LJP-exosomes enhanced the tumor-reactive CD8+ T cell responses, leading to prophylactic tumor inhibition in an immunologically ignorant tumor model. The study proposed offers a promising strategy for enhancing the immune activation efficacy of extracted polysaccharides of traditional Chinese medicine by building the patients’ immunity, thus consolidating the overall prognosis.

Multiple system atrophy (MSA) is a complex, heterogeneous neurodegenerative disorder characterized by a multifaceted pathogenesis. Its key pathological hallmark is the abnormal aggregation of α-synuclein, which triggers neuroinflammation, disrupts both dopaminergic and non-dopaminergic systems, and results in metabolic abnormalities in the brain. Positron emission tomography (PET) is a non-invasive technique that enables the visualization, characterization, and quantification of these pathological processes from diverse perspectives using radiolabeled agents. PET imaging of molecular events provides valuable insights into the underlying pathomechanisms of MSA and holds significant promise for the development of imaging biomarkers, which could greatly improve disease assessment and management. In this review, we focused on the pathological mechanisms of MSA, summarized relevant targets and radiopharmaceuticals, and discussed the clinical applications and future perspectives of PET molecular imaging in MSA.

Oocyte aging is closely related to a decline in female fertility, accompanied by increased reactive oxygen species levels and changes in protein posttranslational modifications. However, the role of protein palmitoylation in oocyte aging has not been investigated. In the present study, a new association between redox and palmitoylation in aging oocytes was found. We found that the protein level of palmitoyl-protein thioesterase 1 (PPT1), a depalmitoylation enzyme, was increased in maternally aged mice oocytes and follicular fluid of aged (age >35 years) patients with decreased ovarian reserve (DOR). Elevated PPT1 led to decreased S-palmitoylation levels in oocytes, which impaired oocyte maturation and spindle formation. Tubulin was identified as a critical palmitoylated protein regulated by PPT1, whose palmitoylation was also decreased by advanced age, accompanied by abnormalities in membrane localization and microtubule polymerization. Melatonin was found to down-regulate excessive PPT1 and rescue PPT1-induced damage in mouse oocytes, not only by regulating oxidative stress, but also by binding with PPT1 to regulate its lysosomal degradation. In summary, our data demonstrate that PPT1 participates in oocyte aging by regulating tubulin palmitoylation, providing evidence that oxidative stress regulates protein palmitoylation and revealing a novel mechanism of oocyte aging.

Asthma is a complex heterogeneous and inflammatory disease with an increasing incidence worldwide. Here, UHPLC-Q-Exactive-MSE analysis revealed that 21 alkaloids and 1 coumarin compound (Scopoletin) were identified in SDLTAs. In mouse model, SDLTAs treatment reduced the airway pathological damage, the levels of IL-4, IL-5, IgE, MUC5AC, and splenic index. In cell model, SDLTAs treatment significantly decreased IL-6, IL-8, MUC5AC, and mucus secretion induced by LPS. Network pharmacology studies revealed that the main active ingredients of SDLTAs, including oxysophoridine, oxymatrine, scopoletin and sophoridine, target TLR4, DPP4, IL6 and TNF, as well as regulate IL-17 signaling pathway, TNF signaling pathway, and toll-like receptor signaling pathway, leading to relief of asthma on an inflammatory basis. Docking results showed that the binding energy of the main active ingredients of SDLTAs to TLR4 and MyD88 varied from −5.38 kcal/mol to −4.01 kcal/mol. Further, SDLTAs down-regulated the expression of TLR4, MyD88 and p-c-Jun.

Extraction of built-up areas from polarimetric synthetic aperture radar (PolSAR) images plays a crucial role in disaster management. The polarimetric orientation angles (POAs) of built-up areas exhibit diversity, and built-up areas with POA close to 45° are often misclassified as vegetation. To address this problem, a polarimetric feature suitable for the extraction of built-up areas with large POAs is first designed, and a mixed real-complex-valued polarimetric feature combination is constructed. Then, a real-complex and spatial feature fusion classification network (RCSFFCNet) is designed. In which the proposed mixed real-complex-valued residual structure can efficiently extract mixed numerical features. Additionally, a multi-local spatial convolutional attention module is designed and embedded to efficiently fuse mixed numerical features, as well as superpixel multi-local spatial features. Experiments were conducted using PolSAR images from Gaofen-3, Radarsat-2, and ALOS-2/PALSAR-2. The experimental results show that the feature combination proposed in this paper increases the F1 score of built-up areas by approximately 2%-3%, and the F1 score of built-up areas extracted using the RCSFFCNet also improves by about 2%-3%, with F1 scores exceeding 95%. On all three datasets, the proposed method achieves the best performance in extracting built-up areas with various POAs, indicating overall superiority from feature selection to model implementation.

ABSTRACT: Body weight (BW) is an important economic trait in chickens. The hypothalamus serves as a central regulator of appetite and energy balance, and extensive research has demonstrated its pivotal role in regulating BW. However, the molecular network of the hypothalamus regulating BW traits in chickens needs to be further illuminated. In the present study, 200 1-day-old male 817 broilers were reared to 50 d of age, and BW were recorded. 20 birds with the lowest BW were classified as the low body weight group (L-BWG), and 20 birds with the highest BW were classified as the high body weight group (H-BWG). 18 hypothalamic tissue samples were collected, including 5 from the L-BWG, 5 from the H-BWG, and 8 from the middle weight range, and were analyzed using RNA-seq and weighted gene co-expression network analysis (WGCNA). Among the 18 RNA-seq samples, 5 samples from the L-BWG and 5 from the H-BWG were selected for differential expression gene analysis. Compared with the L-BWG, 195 and 1,241 genes were upregulated and downregulated in the H-BWG, respectively. The WGCNA analysis classified all co-expressed genes in the hypothalamus of 817 broilers into 20 modules. Among these modules, the pink module was identified as significantly negatively (r = −0.81, P = 4×10−5) associated with BW. Furthermore, several genes, including Wnt family member 6 (WNT6), growth differentiation factor 11 (GDF11), bone morphogenetic protein 4 (BMP4), and erb-b2 receptor tyrosine kinase 4 (ERBB4), involved in “regulation of developmental process” and “response to growth factor,” were identified as hub genes that contribute to the regulation of BW. These results provide valuable information for further understanding of the gene expression and regulation affecting BW traits and will contribute to the molecular breeding of chickens in the future.

Background: There is evidence that exposure to phthalate in women may increase the risk of uterine leiomyomas. Whereas, the association between exposure to phthalate and the incidence of uterine leiomyoma remained inconclusive. Methods: A meta-analysis was performed to evaluate their relationship. Literature eligible for inclusion was found in PubMed, EMBASE, Web of Science, and WanFang Medical Database. Pooled odds ratio (OR) with 95 % confidence interval (CI) was calculated to assess the risk for effect estimate for each phthalate. Results: A total of fourteen observational studies with 5777 subjects of adult women were included in this study. In the pooled analysis, we found an elevated risk of uterine leiomyoma among women who were exposed to higher levels of di-2-ethylhexyl phthalate (DEHP) (OR 1.61, 95 % CI: 1.18–2.20), as estimated indirectly from the molar summation of its urinary metabolite concentrations. In addition, a positive association was observed between the occurrence of uterine leiomyoma and exposure to low molecular weight phthalate mixture (OR 1.08, 95 % CI: 1.00–1.15), as well as high molecular weight phthalate mixture (OR 1.08, 95 % CI: 1.01–1.15), as quantified by integrating the effect estimates of individual metabolite from each study. Urinary levels of DEHP metabolites, monobenzyl phthalate, mono-(3-carboxypropyl) phthalate, mono-isobutyl phthalate, mono-n-butyl phthalate, monoethyl phthalate, and monomethyl phthalate were not appreciably correlated with the risk of uterine leiomyoma. Conclusion: Our results indicated that exposure to DEHP, and co-exposure to high or low molecular weight phthalate mixture might be potential risk factors for uterine leiomyoma in adult women. Owing to the indirect estimation of association, when interpreting these findings, cautions should be taken.

Contemporary progress in tumor immunotherapy has solidified its role as an effective approach in combating cancer. Nonetheless, the prevalent “immune cold” state within the tumor microenvironment poses a substantial barrier to its efficacy. Addressing this, pyroptosis—a gasdermin-mediated programmed cell death characterized by its inflammatory profile—emerges as a crucial mechanism. It catalyzes the release of vast quantities of pro-inflammatory cytokines and immunogens, potentially transforming immunosuppressive “cold” tumors into reactive “hot” ones. Herein, we will initially present an overview of pyroptosis as a distinct form of cell death, along with its molecular mechanisms. Subsequently, we will focus on introducing how pyroptosis activators are utilized in the field of tumor immunotherapy. Insights gained from applications of pyroptosis activators in tumor immunotherapy could lead to the development of safe and efficient pyroptosis activators, significantly enriching the arsenal for tumor immunotherapy.

Age-related macular degeneration (AMD) is the leading cause of blindness among elderly people worldwide. However, there are currently no effective treatments for AMD. Oxidative stress-induced retinal pigment epithelium (RPE) degeneration and the inflammatory response are the main causes of AMD. In this study, a polyethylene glycol (PEG)-coated rhodium nanozyme (PEG-RhZ) with excellent reactive oxygen species (ROS) and reactive nitrogen species (RNS) elimination capability was synthesized for the treatment of AMD. PEG-RhZs protected RPE cell viability and barrier function upon exposure to oxidative stress stimuli. Additionally, microglial migration and iNOS, IL-1β and TNF-α expression were inhibited by PEG-RhZs. In the acute phase of the AMD model, PEG-RhZs significantly alleviated RPE oxidative damage and inhibited microglial activation. In the late stage of the AMD model, PEG-RhZs reduced photoreceptor loss and improved vision impairment. Furthermore, PEG-RhZs showed good biocompatibility and stability both in vitro and in vivo. Collectively, our findings suggest the therapeutic potential of PEG-RhZs for AMD treatment.STATEMENT OF SIGNIFICANCE: AMD is a kind of retinal degenerative disease that poses heavy health burden globally. PEG-RhZs exhibiting robust ROS and RNS scavenging capabilities have shown promise in safeguarding retinal pigment epithelium (RPE) from oxidative stress, suppressing microglia activation and the secretion of pro-inflammatory molecules, mitigating loss of retinal photoreceptor cells, and ameliorating visual impairment. The commendable antioxidant properties, biological safety, and biostability of PEG-RhZs offer valuable insights for the clinical management of AMD.

γ−TiAl alloy, with its high specific strength and creep resistance, is ideal for aerospace engines and gas turbines, but its brittleness poses significant manufacturing and processing challenges. To address these issues, this study employs a crystal plasticity finite element method incorporating dislocation and twinning to analyze the brittle-to-ductile transition behavior of γ−TiAl alloy at different temperatures. Additionally, the Bayesian optimization methods are employed to efficiently and accurately obtain parameters related to numerical calculations of crystal plasticity. The results indicate that at room temperature, the high activation resistance of the slip systems in the α2 phase leads to limited slip activity, resulting in poor plasticity. However, at 750 °C and 850 °C, the strength of the slip systems decreases significantly, allowing more α2 phase lamellae in the γ-TiAl alloy to undergo greater plastic deformation. This enhancement in the plastic deformation capacity of the α2phase lamellae reduce the overall deformation incompatibility in the TiAl alloy, thereby improving the overall ductile of the γ-TiAl alloy.

We have previously reported that the expression of miR-34c-5p was up-regulated during acupuncture treatment in the setting of a cerebral ischemia/reperfusion injury (CIRI), indicating that miR-34c-5p plays an important role in healing from a CIRI-induced brain injury. This study sought to evaluate the effects of acupuncture on miR-34c-5p expression and autophagy in the forward and reverse directions using a rat focal cerebral ischemia/reperfusion model. After 120 minutes of middle cerebral artery occlusion and reperfusion, rats were treated with acupuncture at the ''Dazhui'' (DU20), ''Baihui'' (DU26) and ''Renzhong'' (DU14) points. Neurologic function deficit score, cerebral infarct area ratio, neuronal apoptosis and miR-34c-5p expression were evaluated 72 hr after treatment. The autophagy agonist RAPA and the antagonist 3MA were used to evaluate the neuro protective effects of autophagy-mediated acupuncture. We found that acupuncture treatment improved autophagy in the brain tissue of CIRI rats. Acupuncture reversed the negative effects of 3MA on CIRI, and acupuncture combined with RAPA further enhanced autophagy. We also found that acupuncture could increase miR-34c-5p expression in hippocampal neurons after ischemia/reperfusion. Acupuncture and a miR-34c agomir were able to enhance autophagy, improve neurologic deficits, and reduce the cerebral infarct area ratio and apoptosis rate by promoting the expression of miR-34c-5p. Silencing miR-34c resulted in a significantly reduced activating effect of acupuncture on autophagy and increased apoptosis, neurologic deficit symptoms, and cerebral infarct area ratio. This confirms that acupuncture can upregulate miR-34c-5p expression, which is beneficial in the treatment of CIRI.

Irradiation hardening is one of the service performance concerns for tungsten in fusion reactors. This work investigated the effect of deuterium (D) plasma exposure and helium (He) ions irradiation on the hardening behavior of the same tungsten sample using nanoindentation. The results demonstrate that the hardness of tungsten increases after D plasma exposure, He ions irradiation, and synergistic irradiation of He-ion and D-plasma. In general, the degree of hardening is He-ion + D-plasma irradiation, individual He-ion irradiation, and D plasma exposure in descending order. D plasma exposure results in an increase in hardness of more than 10 %, which is attributed to the pinning of dislocations by D plasma-induced defects and D-defect complexes (clusters). In the case of the He-ion irradiated tungsten, a large number of defects such as He nanobubbles induced by He-irradiation result in a 70 % increase in hardness. The superposition effect on the hardening of tungsten by D plasma exposure after He ions irradiation was observed, which essentially remains an increase in hardness due to D plasma exposure. This implies that the degradation of mechanical properties caused by D plasma exposure on tungsten will not be overlapped by other particle irradiation. Moreover, He bubbles in tungsten remain stable and grow slightly after annealing at 1173 K, resulting in a limited decrease in hardness.

Solid-state electrolytes (SSEs) are regarded as crucial materials, thus determining the comprehensive properties of solid-state lithium batteries (SSLBs). However, the existing issues of ion transport and interface limit their further development and application. As the inorganic solid-state electrolytes (ISEs) and polymer solid-state electrolytes (PSEs) both present obvious advantages and defects, the strategy of preparing composite solid-state electrolytes (CSEs) by incorporating inorganic components in polymer matrix is considered an effective way to overcome the above-mentioned problems. Nanowires with high aspect ratios are widely used in CSEs. Moreover, nanowires can not only effectively enhance the mechanical properties and ion transport efficiency of SSEs, but also boost the contact between electrolyte and electrode interface, thereby improving the cycle stability and safety of SSLBs. This review systematically categorized nanowires according to their morphology, function, and Li+ conductivity, and discussed their structural properties and synthesis strategies in detail. Moreover, application examples and mechanisms of nanowires in different polymer matrices are also introduced. In the summary and prospect section, we anticipate the existing challenges and future objectives of nanowires in the future research of CSEs.

Cardiac arrhythmias remain a significant cause of mortality and morbidity, for novel antiarrhythmic therapies. This study states that the first report of sophoridine (SPN), a quinolizidine alkaloid derived from traditional Chinese herbs, shows promise as a potential candidate due to its anti-arrhythmic and antioxidant properties. The study found that cell viability in H9C2 rat cardiomyocytes remained stable even when treated with SPN at a higher dosage of 100 μg/ml. This phenomenon was accompanied by increases in mitochondria-derived reactive oxygen species (ROS) and calcium/calmodulin-dependent protein kinase II (CaMKII) signaling, at 50 and 100 μg/ml. Glucose fluctuations regulate ventricular arrhythmias caused by SPN by activating the ROS/CaMKII pathway. Experimental models using zebrafish provided additional evidence supporting the regulatory effects of SPN on heart rate. In addition, the administration of SPN resulted in substantial deregulation of crucial genes involved in heart development (nppa, nppb, tnnt2a) at the transcriptional level in zebrafish. These findings provide insight into the various pharmacological properties of SPN and this opens up new possibilities for anti-arrhythmic treatment strategies.

This study investigates the effects of laser shock peening (LSP) on the microstructural evolution and surface hardening of MAR-M247 nickel-based alloy. Experimental and numerical simulation methods are employed to analyze the influence of pulse power density and spot size. The results demonstrate that LSP significantly enhances surface hardness and yield strength. As the pulse power density increases, the magnitude and depth of plastic deformation increase. Higher power densities can implant deeper and greater compressive residual stress (CRS), but the corresponding tensile residual stress (TRS) also increases. Reducing both power density and spot size decreases the amount of plastic deformation of the surface. However, decreasing the spot size results in a decrease in the depth of the CRS. On the other side, based on the analysis of the microstructure, during the process of LSP, many dislocations accumulate in the γ matrix and evolve into subgrain boundaries, resulting in grain refinement. Additionally, LSP induces the precipitation of nanoscale carbides. This study tries to establish the influence law and action mechanism between LSP process-material property-microscopic evolution, which provides theoretical and applied data support for engineering applications.

Background: Gastrointestinal perforation in extremely low birth weight infants, characterized by its rapid onset, multiple complications, and critical condition, poses a significant risk of infant mortality. The aim of this study was to investigate the clinical characteristics of pneumoperitoneum in extremely low birth weight infants (ELBWI) and explore the risk factors associated with gastrointestinal perforation in very low birth weight preterm infants. Additionally, we shared our surgical experiences in managing gastrointestinal perforation among extremely low birth weight infants. Methods: The Department of Neonatology at Chengdu Women and Children's Central Hospital conducted a retrospective study on gastrointestinal perforation in extremely low birth weight infants (birth weight

ABSTRACT: Carcass appearance is important economic trait, which affects customers in making purchase decisions. Both density and diameter of feather follicles are two important indicators of carcass appearance. However, the regulatory network and key genes be involved in feather follicle development remain poorly understood. To identify key genes and modules that involved in feather follicle development in chickens, 16 transcriptome datasets of Wannan chickens skin tissue (3 birds at the E9, E11, and E14, respectively, and 7 birds at the 12W) were used for weighted gene co-expression network analysis (WGCNA) analysis, and 12 skin tissue samples (3 birds for each stage) were selected for DEGs analysis. A total of 5,025, 2,337, and 10,623 DEGs were identified in 3 comparison groups, including the E9 vs. E11, the E11 vs. E14, and the E14 vs. 12W. Additionally, 31 co-expression gene modules were identified by WGCNA and the dark-orange, cyan, and blue module were found to be significantly associated with feather follicle development (p < 0.01). In total, 92,898 and 8,448 hub genes were obtained in the dark-orange, cyan, and blue modules, respectively. We focused on the cyan and blue modules, as 6 and 336 hub genes of these modules were identified to overlap with the DEGs of the three comparison groups, respectively. The 6 overlapped genes such as LAMC2, COL6A3, and COL6A2 etc., were over-represented in 12 categories such as focal adhesion and ECM-receptor interaction signaling pathway. Among the 336 genes that overlapped between the blue module and different DEGs comparison groups several genes including WNT7A and WNT9B were enriched in Wnt and ECM-receptor interaction signaling pathway. These results suggested that the LAMC2, COL6A3, COL6A2, WNT7A, and WNT9B genes may play a crucial role in the regulation of feather follicle development in Wannan chickens. Our results provided a reference for the molecular regulatory network and key genes in the development of feather follicles and contribute to molecular breeding for carcass appearance traits in chickens.

Fragrant peanut oils (FPOs) are commonly defined as edible peanut oils having strong natural roasted peanut flavor without peculiar unpleasant odors and produced from peanut kernels through roasting/steaming and pressing operations, etc. The flavor of FPOs plays a crucial role in their acceptability and applications and their flavor profiles are an important factor in determining their overall quality. This paper presents a systematic literature review of recent advances and knowledge on FPOs, especially their flavors, in which it is focused on the evaluation of volatile compounds, the factors influencing the formation of flavor compounds, and formation mechanisms of those typical flavor compounds. More than 300 volatiles are found in FPOs, while some key aroma-active compounds and their potential formation pathways are examined. Factors that have big influences on flavor are discussed also, including the properties of raw materials, processing technologies, and storage conditions. Ultimately, the paper highlights the challenges facing, including the challenges in flavor analysis, the relationship between volatile compounds and sensory attributes, as well as the opening of the blackboxes of flavor formations during the processing steps, etc.

Background: Previous observational studies have indicated associations of physical activity (PA) and air pollution with mortality. A few studies have evaluated air pollution and PA interactions for health. Still, the trade-off between the harmful effects of air pollution exposure and the protective effects of PA remains controversial and unclear. Objective: This study aimed to investigate the joint association of air pollution and PA with mortality risks. Methods: This prospective cohort study included 322,092 participants from 2006 to 2010 and followed up to 2021 in the UK Biobank study. The concentrations of air pollutants (2006–2010), including particulate matter (PM) with diameters

Interfacial Debonding occurring in concrete-filled steel Tube (CFST) arch bridges during construction is a critical issue, which can reduce the CFST carrying capacity and thus degrade the operational lifespan of the bridge. Timely detection of this type of defect during bridge construction can be highly cost-effective but rare sensing technology was reported for detection at this stage. Infrared thermography has been recognized as a potential detection method but still faces the challenge of low thermal contrast developed from concrete hydration. This research investigates the feasibility of using hydration heat as an internal heat source and proposes water-spray cooling as an external excitation to improve infrared debonding detection. The experimental study is carried out to investigate the detectability enhancement before and after the cooling excitation in terms of different debonding sizes and thicknesses. An image enhancement method is then proposed for debonding visualization based on the temperature difference matrix. In addition, the numerical simulation is conducted to analyze the cooling effect regarding the excitation intensity variation. The findings reveal that the thermal contrast of debonding ranges from 0.1 to 0.35℃ before cooling excitation and is enhanced by 2–3 times thereafter. In addition, the developed maximum thermal contrast of debonding can be characterized through a linear relationship to the cooling excitation intensity based on numerical analysis. The proposed method shows significant feasibility for early detection of debonding in CFST during arch bridge construction, which enables a new potential for structural inspection.

This study is aimed to investigate the impact of low-temperature treatment on growth, antioxidant enzyme activity, flowering physiology and transcriptome change of the cultivated strawberry, cultivar 'Baiyu'. The runner plants were subjected to 16 ± 1 °C as low-temperature for 5, 10, and 15 days. By comparison with the plants just before treatment (at day 0), it was shown that during the 15-day low temperature treatment, plant height, leaf area, and dry weight significantly, amino acid and soluble sugar contents all decreased with concurrent calyx formation, while the levels of MDA, activities of SOD and CAT increased significantly. Flower bud differentiation began before day 5, as evidenced by significant upregulation in expression of several known flower -related genes including FaAP1, FaSVP, FaCO1, and FaLFY. Tissues from plants treated for 5d and 0d at 16 ± 1 °C were used for transcriptome analysis and the results showed that significant changes in more than 20,179 genes under low-temperature treatment, among which, the expression of genes in metabolic processes, catalytic activity and binding of the molecular function, signal transduction and encoding transcription factors were mostly affected.

This article offers a comprehensive review focused on the analysis and characterization of shale reservoirs, unconventional hydrocarbon resources that uniquely serve as both the source reservoir for gas and oil, and the rock. To analyze and characterize shale reservoirs, pore structure, rock components and rock mechanical properties are three main factors to analyze. These three main factors are necessary for successful field operations in shale reservoirs. Until now, there are various techniques utilized to characterize these three properties. Therefore, this study delves into the intricacies of shale reservoir's pore structure, rock components and mechanical properties under varying geological conditions, summarizing various techniques utilized to characterize these properties in previous studies. The study also discusses the role of analytical techniques in understanding the complex interactions between kerogen and the surrounding mineral matrix. By providing a summary of various techniques operated on the mentioned three main factors, this paper supplies the effective and optimal technique on analyzing different properties of shale reservoirs. Furthermore, the paper aims to contribute to more effective resource assessment and production optimization in shale reservoirs, offering insights that have significant implications for the future of unconventional hydrocarbon extraction.

In this study, multi-objective optimal dispatching of demand response-enabled microgrid considering uncertainty in renewable energy generations is designed to obtain optimal energy point sets of microgrid. The proposed dispatching model contains upper-level model and lower-level model. The economic and environmental benefits of the microgrid are adopted as the optimization objectives in the upper-level model and the economic benefits under incentive-based demand response is taken as the optimization objective in the lower-level load demand. In the upper-level model, sequence operation theory is designed to deal with the uncertainty in renewable energy generations, and virtual real-time tariffs and electricity credibility of power consumption are utilized to make demand response by shifting load in the lower-level model. To optimally solve the proposed model, improved enhanced multi-objective optimization sparrow search algorithm (EMOSSA) based on sinusoidal search strategy, diversity variant processing by Cauchy variation and external archive updating mechanism is developed to optimize the objective functions of the upper-level model and mixed integer linear programming CPLEX is employed to determine the load demand for the lower-level model. After that, the power demand plan of the lower-level model and the real-time prices of the upper-level model are updated iteratively to obtain the optimal dispatching solutions using the real-time pricing mechanism. Eventually, experimental results of several operation scenarios illustrate the proposed optimal dispatching method can deal with the uncertainty of renewable energy generations and the randomness of load, thus, achieving a well supply and demand balance between microgrid and users.

Bayan Obo, located in the north margin of the Yinshan Block, North China Craton (NCC), contains the Archean to Paleoproterozoic basement rocks which may shed light on the early crustal evolution of the NCC. In this paper, to reveal the formation and modification of the basements, we report Hf isotope of zircons from the biotite plagiogneisses in Bayan Obo. Combined with the published U–Pb ages and Hf isotope compositions of the zircons from the Bayan Obo basement rocks, a comprehensive review was employed to provide new insights into the formation and modification of the basement in this area. The oldest formation age of the basement rocks was found to be approximately 2.6 Ga, with positive εHf(t) values indicating the contribution from the depleted mantle to the rocks. The age of ∼2.0 Ga marks the major formation period of the basement rocks. The varied εHf(t) values (−17.2 to +8.9) of the magmatic zircons suggest a mixture origin between the depleted mantle and crustal rocks for the gneiss. The basement went through extensive metamorphism during 1.95–1.9 Ga. In addition, zircon U–Pb–Hf isotope data of the Precambrian units in Guyang and Wuchuan, which are adjacent to Bayan Obo, were compiled for comparison. The comprehensive review on the data of the concordant magmatic zircons indicates the existence of 3.5 Ga crustal fragments in the Yinshan Block. The melting of the depleted mantle and the addition of juvenile materials into the crust at 2.6–2.9 Ga and 2.45–2.55 Ga were confirmed by the high positive εHf(t) values of the magmatic and inherited zircons. An increase in remelting of the crust at 2.0 Ga is deduced from the extremely unradiogenic Hf isotope of the magmatic zircons.

Background: Anastomotic stricture/stenosis (AS) is an alarming complication after colorectal surgery, and there is still no recognized definition for AS. This study aimed to determine the status and change of AS after rectal surgery using a special AS definition and grading system, discuss various risk factors for AS. Methods: This study included patients with rectal cancer who underwent total mesorectal excision between May 2014 and May 2021. A five-degree special AS definition and grading system was used to determine AS status, and clinical outcomes and risk factors for AS were investigated. Results: A total of 473 patients were enrolled in this study. Univariate and multivariate analyses of patient-related and technical risk factors for AS were performed 3 months postoperatively. For univariate analysis, female sex was a lower risk factor for AS. Defunctioning stoma, neoadjuvant chemoradiotherapy, chemotherapy, and anastomotic leakage were higher risk factors for AS (all p

Objective: It's crucial to identify an easily detectable biomarker that is specific to radiation injury in order to effectively classify injured individuals in the early stage in large-scale nuclear accidents. Methods: C57BL/6J mice were subjected to whole-body and partial-body γ irradiation, as well as whole-body X-ray irradiation to explore the response of serum sSelectin-L to radiation injury. Then, it was compared with its response to lipopolysaccharide-induced acute infection and doxorubicin-induced DNA damage to study the specificity of sSelectin-L response to radiation. Furthermore, it was further evaluated in serum samples from nasopharyngeal carcinoma patients before and after radiotherapy. Simulated rescue experiments using Amifostine or bone marrow transplantation were conducted in mice with acute radiation syndrome to determine the potential for establishing sSelectin-L as a prognostic marker. The levels of sSelectin-L were dynamically measured using the ELISA method. Results: Selectin-L is mainly expressed in hematopoietic tissues and lymphatic tissues. Mouse sSelectin-L showed a dose-dependent decrease from 1 day after irradiation and exhibited a positive correlation with lymphocyte counts. Furthermore, the level of sSelectin-L reflected the degree of radiation injury in partial-body irradiation mice and in nasopharyngeal carcinoma patients. sSelectin-L was closely related to the total dose of γ or X ray. There was no significant change in the sSelectin-L levels in mice intraperitoneal injected with lipopolysaccharide or doxorubicin. The sSelectin-L was decreased slower and recovered faster than lymphocyte count in acute radiation syndrome mice treated with Amifostine or bone marrow transplantation. Conclusions: Our study shows that sSelectin-L has the potential to be an early biomarker to classify injured individuals after radiation accidents, and to be a prognostic indicator of successful rescue of radiation victims.

Summary: Background: Dry eye disease has a high prevalence and exerts a significant negative effect on quality of life. In China, there are currently no available nasal sprays to promote natural tear production in patients with dry eye disease. We therefore evaluated the efficacy and safety of OC-01 (varenicline solution) nasal spray versus vehicle in Chinese patients with dry eye disease. Methods: This was a randomized, multicenter, double-masked, vehicle-controlled, phase 3 clinical trial conducted at ophthalmology departments in 20 hospitals across China (NCT05378945). Eligible patients had a diagnosis of dry eye disease based on patient symptoms, Eye Dryness Score (EDS), Schirmer's Test (with topical anesthesia) Score (STS), and corneal fluorescein staining (CFS) score. Participants were randomly assigned 1:1 using an Interactive Web Response System (IWRS) to receive OC-01 0.6 mg/mL twice daily (BID) or vehicle nasal spray. Participants, investigators, and sponsor were all masked to treatment assignment. The primary endpoint was the percentage of subjects in the intention-to-treat population achieving ≥10 mm improvement in STS from baseline at week 4. Findings: In total, 340 patients were randomized from 21 July 2022 to 04 April 2023, 78.8% were female. Patients in the OC-01 group (n = 176) had significantly higher achievement of ≥10 mm improvement in STS (35.8% [n = 63] versus 17.7% [n = 29], stratified odds ratio: 2.67, 95% CI: 1.570–4.533, p = 0.0002) and a significantly greater increase from baseline STS (least-squares mean difference [SE]: 3.87 [0.794], p