Chitosan(CS),a natural polymer derived from chitin found in the exoskeletons of crustaceans,has garnered significant interest in the pharmaceutical field due to its unique properties,including biocompatibility and bio...Chitosan(CS),a natural polymer derived from chitin found in the exoskeletons of crustaceans,has garnered significant interest in the pharmaceutical field due to its unique properties,including biocompatibility and biodegradability.In recent years,various studies have reported that CS can affect drug bioavailability,and interestingly,it works as an oral absorption enhancer and inhibitor.This review offers an in-depth analysis of the mechanisms underlying such a phenomenon and supports its application as a pharmaceutical excipient.CS enhances oral drug absorption through various mechanisms,such as interaction with the intestinal mucosa,tight junction modulation,inhibition of efflux transporters,enzyme inhibition,solubility and stability enhancement,and complexation.On the other side,CS exhibits the ability to inhibit the absorption of certain drugs by adsorbing to lipids and sterols,modulating bile acids and gut microbiota,altering drug-cell interaction at the polar interface,and mucus-mediated entrapment and interference.Future potential pharmaceutical research in this field includes elucidating the underneath absorption relevant mechanisms,rational use in formulations as excipient,exploring functional CS derivatives,and developing CS-based drug delivery systems.This comprehensive review highlights CS's versatile and significant role in enhancing and inhibiting oral drug absorption,providing insights into the complexities of drug delivery and the potential of CS to improve therapeutic outcomes.展开更多
Background:Long non-coding RNAs(lncRNAs)act as epigenetic regulators for tumor hallmarks.This investigation sought to probe the carcinogenic trait of PAN3-AS1 across pan-cancer comprehensively.Methods:We studied the d...Background:Long non-coding RNAs(lncRNAs)act as epigenetic regulators for tumor hallmarks.This investigation sought to probe the carcinogenic trait of PAN3-AS1 across pan-cancer comprehensively.Methods:We studied the diagnostic and prognostic features and the immune landscape of PAN3-AS1 across pan-cancer by bioinformatics approaches.The hierarchical regulatory networks governing PAN3-AS1 expression in colon cancer were explored via chromatin immunoprecipitation,luciferase activity assays,and RNA immunoprecipitation,etc.We screened drugs sensitive to WAP four-disulfide core domain 13(WFDC13)by virtual screening and molecular docking.Results:Single-cell transcriptomics demonstrated that a variety of immune populations abnormally expressed PAN3-AS1 beyond tumor cells.Integration of data from multiple databases revealed that PAN3-AS1 was highly expressed and associated with a bad prognosis in various malignancies.Notably,PAN3-AS1 expression was correlated with a suppressive immune microenvironment.Moreover,we observed poor immunotherapy efficacy when PAN3-AS1 was highly expressed in melanoma.In vitro assays and functional enrichment analysis revealed that PAN3-AS1 was associated with cell proliferation and the immune response in colon cancer.Our experiments confirmed that PAN3-AS1 facilitated WFDC13 expression through competitive binding to hsa-miR-423-5p in colon cancer.Moreover,the present paper illustrated that enhancer activity exerts an important modulatory ability for PAN3-AS1 expression.Conclusion:In short,PAN3-AS1 is a valuable biomarker for diagnosis and prognosis.PAN3-AS1 exhibits linkage to a cold tumor immune microenvironment(TME)and forecasts durable benefit from immunotherapy.Addressing the PAN3-AS1/miR-423-5p/WFDC13 axis might provide a novel option for improving immunotherapy efficacy in colon cancer.展开更多
Magnolol,a compound extracted from Magnolia officinalis,demonstrates potential efficacy in addressing metabolic dysfunction and cardiovascular diseases.Its biological activities encompass anti-inflammatory,antioxidant...Magnolol,a compound extracted from Magnolia officinalis,demonstrates potential efficacy in addressing metabolic dysfunction and cardiovascular diseases.Its biological activities encompass anti-inflammatory,antioxidant,anticoagulant,and anti-diabetic effects.Growth/differentiation factor-15(GDF-15),a member of the transforming growth factorβsuperfamily,is considered a potential therapeutic target for metabolic disorders.This study investigated the impact of magnolol on GDF-15 production and its underlying mechanism.The research examined the pharmacological effect of magnolol on GDF-15 expression in vitro and in vivo,and determined the involvement of endoplasmic reticulum(ER)stress signaling in this process.Luciferase reporter assays,chromatin immunoprecipitation,and in vitro DNA binding assays were employed to examine the regulation of GDF-15 by activating transcription factor 4(ATF4),CCAAT enhancer binding proteinγ(CEBPG),and CCCTC-binding factor(CTCF).The study also investigated the effect of magnolol and ATF4 on the activity of a putative enhancer located in the intron of the GDF-15 gene,as well as the influence of single nucleotide polymorphisms(SNPs)on magnolol and ATF4-induced transcription activity.Results demonstrated that magnolol triggers GDF-15 production in endothelial cells(ECs),hepatoma cell line G2(HepG2)and hepatoma cell line 3B(Hep3B)cell lines,and primary mouse hepatocytes.The cooperative binding of ATF4 and CEBPG upstream of the GDF-15 gene or the E1944285 enhancer located in the intron led to full-power transcription of the GDF-15 gene.SNP alleles were found to impact the magnolol and ATF4-induced transcription activity of GDF-15.In high-fat diet ApoE^(-/-)mice,administration of magnolol induced GDF-15 production and partially suppressed appetite through GDF-15.These findings suggest that magnolol regulates GDF-15 expression through priming of promoter and enhancer activity,indicating its potential as a drug for the treatment of metabolic disorders.展开更多
[Objectives]This study was conducted to investigate the effects of biochar-based fertilizer on high yield and quality of green pepper(Zanthoxylum armatum var.novemfolius)and soil nutrient status.[Methods]With green pe...[Objectives]This study was conducted to investigate the effects of biochar-based fertilizer on high yield and quality of green pepper(Zanthoxylum armatum var.novemfolius)and soil nutrient status.[Methods]With green pepper and pepper field soil as the research subjects,four treatments were set up,namely,conventional fertilization(T_(1)),conventional fertilization+biochar(T_(2)),biochar-based fertilizer 1(T_(3)),and biochar-based fertilizer 2(T_(4)).[Results]The application of biochar-based fertilizer increased green pepper yield by 9.37%-51.12%,with the order of increase being T_(4)>T_(3)>T_(2)>T_(1).In terms of soil nutrients,biochar-based fertilizer raised soil pH by 6.67%-53.33%,with the order of increase being T_(3)>T_(4)>T_(2)>T_(1).The initially strongly acidic soil gradually shifted to weakly acidic and approached neutral,indicating significantly improved soil acidity.The application of biochar-based fertilizer increased the contents of soil organic matter,available nitrogen,available phosphorus,available potassium,available copper,available zinc,available iron,and available manganese.It significantly enhanced green pepper yield,improved soil acidity,and elevated soil nutrient levels.Considering yield,nutrient uptake,and soil nutrient content,biochar-based fertilizer 2(T_(4))was identified as the optimal treatment.[Conclusions]This study provides a theoretical basis for improving green pepper yield and soil amendment.展开更多
The increasing challenges of environmental degradation,soil erosion,and climate change have driven interest in sustainable solutions like enhanced weathering(EW)and phytoremediation.Elephant Grass(Cenchrus purpureus),...The increasing challenges of environmental degradation,soil erosion,and climate change have driven interest in sustainable solutions like enhanced weathering(EW)and phytoremediation.Elephant Grass(Cenchrus purpureus),a fast-growing perennial species,shows promise as a bioaccumulator and agent for soil weathering.This study assessed the potential of C.purpureus to improve soil quality through heavy metal(HM)uptake and EW facilitation.A 60-day greenhouse pot experiment at Jackson State University evaluated plant performance in soils amended with metabasalt rock powder at 1:1 and 2:1 rock-to-soil ratios.Biomass,growth,and HM concentrations in roots and shoots were measured via ICP-MS after wet digestion.Soil pH and magnesium(Mg)release were also monitored to assess weathering and carbon drawdown.Results showed that C.purpureus accumulated more HMs in roots at higher amendment levels,while at lower levels,metals like As,Cd,and Cr were more translocated to shoots,enhancing phytoextraction potential.High treatment favored Fe and Al uptake,possibly reducing toxic metal accumulation in edible parts.Notably,C.purpureus contributed to the weathering of 38%of metabasalt rock,leading to a 42%increase in Mg release.With high biomass,HM tolerance,and weathering capacity,C.purpureus offers a sustainable strategy for soil remediation,improved soil health,and potential support for renewable energy systems.展开更多
Objective:In recent decades,studies have underscored nuclear proteins and signaling pathways in prostate cancer(PCa)development.Key biomarkers like Enhancer of zeste homolog 2(EZH2)and Forkhead box M1(FOXM1)are expres...Objective:In recent decades,studies have underscored nuclear proteins and signaling pathways in prostate cancer(PCa)development.Key biomarkers like Enhancer of zeste homolog 2(EZH2)and Forkhead box M1(FOXM1)are expressed in both healthy and malignant prostate cells.This study aimed to demonstrate the relationship between pathological characteristics,survival,recurrence,and tissue expression of EZH2 and FOXM1 in high-risk PCa patients.Methods:PCa tissues were used in a retrospective analysis that spanned from September 2009 to August 2019.Inclusion criteria comprised pathological tumor stage(pT)3 patients with positive surgical margins or tumor proximity to inked margins within 5 mm.After case selection,tissue slides were stained for EZH2 and FOXM1 antibodies,and Allred scores were calculated.Patients or relatives of deceased patients were contacted for signed agreements and disease follow-ups.Results:The pT3b,ductal carcinoma component,and moderate EZH2 expression were associated with relapse(odds ratio[OR]6.21,95%confidence interval[CI]1.41-27.27,p=0.016;OR 7.29,95%CI 1.03-51.43,p=0.046;OR 5.96,95%CI 1.09-32.48,p=0.039;respectively).The unilateral and bilateral seminal vesicle invasion increased the likelihood of recurrence by 9.98 times and 5.36 times,and the risk of death by around 9.78 times and 10.79 times,respectively.The pT3b was linked to higher death likelihood(OR 7.16,95%CI 1.38-37.23,p=0.019),while moderate EZH2 expression did not show statistical significance(OR 4.54,95%CI 0.87-23.60,p=0.072,marginally).Pathological regional lymph node stage(pN)1 had significantly higher probability of mortality than pN unknown(3.9%vs.27%,p<0.001).PCa in the neck and apex of the prostate gland increased death risk tenfold.Conclusion:Sufficient immunoexpression of EZH2,ductal carcinoma component,and neoplastic proliferation in the seminal vesicles,apex and neck of the prostate gland correlates with elevated risks of recurrence and mortality.Clinicians should use these criteria for appropriate patient referrals,and a multicenter trial could provide accurate classifications.展开更多
Plp1-lineage Schwann cells(SCs)of peripheral nerve play a critical role in vascular remodeling and osteogenic differentiation during the early stage of bone healing,and the abnormal plasticity of SCs would jeopardize ...Plp1-lineage Schwann cells(SCs)of peripheral nerve play a critical role in vascular remodeling and osteogenic differentiation during the early stage of bone healing,and the abnormal plasticity of SCs would jeopardize the bone regeneration.However,how Plp1-lineage cells respond to injury and initiate the vascularized osteogenesis remains incompletely understood.Here,by employing single-cell transcriptional profiling combined with lineage-specific tracing models,we uncover that Plp1-lineage cells undergoing injury-induced glia-to-MSCs transition contributed to osteogenesis and revascularization in the initial stage of bone injury.Importantly,our data demonstrated that the Sonic hedgehog(Shh)signaling was responsible for the transition process initiation,which was strongly activated by c-Jun/SIRT6/BAF170 complex-driven Shh enhancers.Collectively,these findings depict an injuryspecific niche signal-mediated Plp1-lineage cells transition towards Gli1+MSCs and may be instructive for approaches to promote bone regeneration during aging or other bone diseases.展开更多
Background:Dysregulation of enhancer transcription occurs in multiple cancers.Enhancer RNAs(eRNAs)are transcribed products from enhancers that play critical roles in transcriptional control.Characterizing the genetic ...Background:Dysregulation of enhancer transcription occurs in multiple cancers.Enhancer RNAs(eRNAs)are transcribed products from enhancers that play critical roles in transcriptional control.Characterizing the genetic basis of eRNA expression may elucidate the molecular mechanisms underlying cancers.Methods:Initially,a comprehensive analysis of eRNA quantitative trait loci(eRNAQTLs)was performed in The Cancer Genome Atlas(TCGA),and functional features were characterized using multi-omics data.To establish the first eRNAQTL profiles for colorectal cancer(CRC)in China,epigenomic data were used to define active enhancers,which were subsequently integrated with transcription and genotyping data from 154 paired CRC samples.Finally,largescale case-control studies(34,585 cases and 69,544 controls)were conducted along with multipronged experiments to investigate the potential mechanisms by which candidate eRNAQTLs affect CRC risk.Results:A total of 300,112 eRNAQTLs were identified across 30 different cancer types,which exert their influence on eRNA transcription by modulating chromatin status,binding affinity to transcription factors and RNA-binding proteins.These eRNAQTLs were found to be significantly enriched in cancer risk loci,explaining a substantial proportion of cancer heritability.Additionally,tumor-specific eRNAQTLs exhibited high responsiveness to the development of cancer.Moreover,the target genes of these eRNAs were associated with dysregulated signaling pathways and immune cell infiltration in cancer,highlighting their potential as therapeutic targets.Furthermore,multiple ethnic population studies have confirmed that an eRNAQTL rs3094296-T variant decreases the risk of CRC in populations from China(OR=0.91,95%CI 0.88–0.95,P=2.92×10^(-7))and Europe(OR=0.92,95%CI 0.88–0.95,P=4.61×10^(-6)).Mechanistically,rs3094296 had an allele-specific effect on the transcription of the eRNA ENSR00000155786,which functioned as a transcriptional activator promoting the expression of its target gene SENP7.These two genes synergistically suppressed tumor cell proliferation.Our curated list of variants,genes,and drugs has been made available in CancereRNAQTL(http://canernaqtl.whu.edu.cn/#/)to serve as an informative resource for advancing this field.Conclusion:Our findings underscore the significance of eRNAQTLs in transcriptional regulation and disease heritability,pinpointing the potential of eRNA-based therapeutic strategies in cancers.展开更多
Weakly Supervised Semantic Segmentation(WSSS),which relies only on image-level labels,has attracted significant attention for its cost-effectiveness and scalability.Existing methods mainly enhance inter-class distinct...Weakly Supervised Semantic Segmentation(WSSS),which relies only on image-level labels,has attracted significant attention for its cost-effectiveness and scalability.Existing methods mainly enhance inter-class distinctions and employ data augmentation to mitigate semantic ambiguity and reduce spurious activations.However,they often neglect the complex contextual dependencies among image patches,resulting in incomplete local representations and limited segmentation accuracy.To address these issues,we propose the Context Patch Fusion with Class Token Enhancement(CPF-CTE)framework,which exploits contextual relations among patches to enrich feature repre-sentations and improve segmentation.At its core,the Contextual-Fusion Bidirectional Long Short-Term Memory(CF-BiLSTM)module captures spatial dependencies between patches and enables bidirectional information flow,yield-ing a more comprehensive understanding of spatial correlations.This strengthens feature learning and segmentation robustness.Moreover,we introduce learnable class tokens that dynamically encode and refine class-specific semantics,enhancing discriminative capability.By effectively integrating spatial and semantic cues,CPF-CTE produces richer and more accurate representations of image content.Extensive experiments on PASCAL VOC 2012 and MS COCO 2014 validate that CPF-CTE consistently surpasses prior WSSS methods.展开更多
Images taken in dim environments frequently exhibit issues like insufficient brightness,noise,color shifts,and loss of detail.These problems pose significant challenges to dark image enhancement tasks.Current approach...Images taken in dim environments frequently exhibit issues like insufficient brightness,noise,color shifts,and loss of detail.These problems pose significant challenges to dark image enhancement tasks.Current approaches,while effective in global illumination modeling,often struggle to simultaneously suppress noise and preserve structural details,especially under heterogeneous lighting.Furthermore,misalignment between luminance and color channels introduces additional challenges to accurate enhancement.In response to the aforementioned difficulties,we introduce a single-stage framework,M2ATNet,using the multi-scale multi-attention and Transformer architecture.First,to address the problems of texture blurring and residual noise,we design a multi-scale multi-attention denoising module(MMAD),which is applied separately to the luminance and color channels to enhance the structural and texture modeling capabilities.Secondly,to solve the non-alignment problem of the luminance and color channels,we introduce the multi-channel feature fusion Transformer(CFFT)module,which effectively recovers the dark details and corrects the color shifts through cross-channel alignment and deep feature interaction.To guide the model to learn more stably and efficiently,we also fuse multiple types of loss functions to form a hybrid loss term.We extensively evaluate the proposed method on various standard datasets,including LOL-v1,LOL-v2,DICM,LIME,and NPE.Evaluation in terms of numerical metrics and visual quality demonstrate that M2ATNet consistently outperforms existing advanced approaches.Ablation studies further confirm the critical roles played by the MMAD and CFFT modules to detail preservation and visual fidelity under challenging illumination-deficient environments.展开更多
Aiming at the problem of insufficient recognition of implicit variants by existing Chinese sensitive text detection methods,this paper proposes the IPKE-MoE framework,which consists of three parts,namely,a sensitive w...Aiming at the problem of insufficient recognition of implicit variants by existing Chinese sensitive text detection methods,this paper proposes the IPKE-MoE framework,which consists of three parts,namely,a sensitive word variant extraction framework,a sensitive word variant knowledge enhancement layer and a mixture-of-experts(MoE)classification layer.First,sensitive word variants are precisely extracted through dynamic iterative prompt templates and the context-aware capabilities of Large Language Models(LLMs).Next,the extracted variants are used to construct a knowledge enhancement layer for sensitive word variants based on RoCBert models.Specifically,after locating variants via n-gram algorithms,variant types are mapped to embedding vectors and fused with original word vectors.Finally,a mixture-of-experts(MoE)classification layer is designed(sensitive word,sentiment,and semantic experts),which decouples the relationship between sensitiveword existence and text toxicity throughmultiple experts.This framework effectively combines the comprehension ability of Large Language Models(LLMs)with the discriminative ability of smaller models.Our two experiments demonstrate that the sensitive word variant extraction framework based on dynamically iterated prompt templates outperforms other baseline prompt templates.TheRoCBert models incorporating the sensitive word variant knowledge enhancement layer and a mixture-of-experts(MoE)classification layer achieve superior classification performance compared to other baselines.展开更多
It is difficult to recover chrysocolla from sulfidation flotation which is closely related to the mineral surface composition.In this study,the effects of fluoride roasting on the surface composition of chrysocolla we...It is difficult to recover chrysocolla from sulfidation flotation which is closely related to the mineral surface composition.In this study,the effects of fluoride roasting on the surface composition of chrysocolla were investigated,its impact on sulfidation flotation was explored,and the mechanisms involved in both fluoride roasting and sulfidation flotation were discussed.With CaF_(2)as the roasting reagent,Na_(2)S·9H_(2)O as the sulfidation reagent,and sodium butyl xanthate(NaBX)as the collector,the results of the flotation experiments showed that fluoride roasting improved the floatability of chrysocolla,and the recovery rate increased from 16.87%to 82.74%.X-ray diffraction analysis revealed that after fluoride roasting,approximately all the Cu on the chrysocolla surface was exposed in the form of CuO,which could provide a basis for subsequent sulfidation flotation.The microscopy and elemental analyses revealed that large quantities of"pagoda-like"grains were observed on the sulfidation surface of the fluoride-roasted chrysocolla,indicating high crystallinity particles of copper sulfide.This suggests that the effect of sulfide formation on the chrysocolla surface was more pronounced.X-ray photoelectron spectroscopy revealed that fluoride roasting increased the relative contents of sulfur and copper on the surface and that both the Cu~+and polysulfide fractions on the surface of the minerals increased.This enhances the effect of sulfidation,which is conducive to flotation recovery.Therefore,fluoride roasting improved the effect of copper species transformation and sulfidation on the surface of chysocolla,promoted the adsorption of collectors,and improved the recovery of chrysocolla from sulfidation flotation.展开更多
Heat exchangers play a crucial role in thermal energy systems,with their performance directly impacting efficiency,cost,and environmental impact.Apowerful technique for performance improvement can be given by passive ...Heat exchangers play a crucial role in thermal energy systems,with their performance directly impacting efficiency,cost,and environmental impact.Apowerful technique for performance improvement can be given by passive enhancement strategies,which are characterized by their dependability and minimal external power requirements.This comprehensive review critically assesses recent advancements in such passive methods to evaluate their heat transfer mechanisms,performance characteristics,and practical implementation challenges.Our methodology involves a systematic and comprehensive analysis of various heat transfer enhancement techniques,including surface modifications,extended surfaces,swirl flow devices,and tube inserts.This approach synthesizes and integrates findings from a broad spectrum of experimental investigations and numerical simulations to establish a cohesive understanding of their performance characteristics and underlyingmechanisms.Based on the findings,passive heat transfer techniques result in significant improvements in thermal performance;for instance,corrugated and roughened surfaces increase the heat transfer coefficient by 50%–200%,and advanced insert geometries,such as modified twisted tapes,can increase it by more than 300%,typically accompanied by significant pressure-drop penalties.However,an important finding is the general trade-off between enhanced heat transfer and higher frictional loss,which requires optimization depending on the applications.Finally,this review also provides recommendations that will document the gaps of various passive techniques in heat exchangers to future address.展开更多
The discharge of micro-polluted water from sources such as agricultural runoff,urban stormwater,and treated effluents presents significant challenges to aquatic ecosystems.Constructed wetlands(CWs)have gained recog-ni...The discharge of micro-polluted water from sources such as agricultural runoff,urban stormwater,and treated effluents presents significant challenges to aquatic ecosystems.Constructed wetlands(CWs)have gained recog-nition as an eco-friendly solution for removing pollutants from various wastewater sources and are increasingly applied for micro-polluted water treatment.By reviewing 78 full-scale CW studies from Web of Science,it is summarized that the ranges of ammonium nitrogen(NH4+-N)concentrations in runoff,wastewater treatment plant effluent and polluted river were 0.1–6.6,0.3–12.3,and 0.2–41.1 mg/L,respectively.The ranges of ni-trate nitrogen concentrations were 0.2–14.2,0–5.7,and 0–2.6 mg/L,respectively.Removal efficiencies of CWs for micro-polluted water varied by CW types.The total nitrogen removal efficiencies for subsurface-flow CWs,free-water surface-flow CWs,and hybrid CWs ranged from 27.4%to 66.5%,16.8%to 89.8%,and 19.4%to 88.2%,respectively.The NH4+-N removal efficiencies ranged from 34.2%to 73.6%,38.4%to 89.4%and 13.5%to 94.2%,respectively.Additionally,other factors influencing contaminant removal efficiency such as hydraulic retention time,vegetation types,redox micro-environment and influent water quality were evaluated.Based on these findings,two strategies for improving the purification performance of CWs were proposed:the selection of incorporating electron donor substrates and the optimization of operation parameters.This paper serves as a synthesis of information to guide future research and full-scale CW applications in micro-polluted water treatment.展开更多
In this paper,we propose a novel graph signal processing convolution recurrent network(GSP CRN)for signal enhancement against high suppressive interference(HSI)in wireless communications.GSPCRN consists of the short-t...In this paper,we propose a novel graph signal processing convolution recurrent network(GSP CRN)for signal enhancement against high suppressive interference(HSI)in wireless communications.GSPCRN consists of the short-time graph signal processing(SGSP)approach and a modified convolution recurrent network.Similar to the traditional shorttime time-frequency transformation,SGSP frames the complex-valued communication signal and transforms it to the graph-domain representations,where the connection and weight flexibility of each vertex are fully taken into account.In the presence of HSI,SGSP can extract signal features from new graph-domain dimensions and empower neural networks for weak signal enhancement.Two SGSP methods,adjacency singular value decomposition and implicit graph transformation,are designed to capture relationships among the sampling points in the segmented signals.Simulation results demonstrate that our proposed GSPCRN outperforms existing classic methods in extracting weak signals from the HSI environment.When the interference-to-signal ratio exceeds 27dB,only our proposed GSPCRN can achieve the interference mitigation.展开更多
Roadbed disease detection is essential for maintaining road functionality.Ground penetrating radar(GPR)enables non-destructive detection without drilling.However,current identification often relies on manual inspectio...Roadbed disease detection is essential for maintaining road functionality.Ground penetrating radar(GPR)enables non-destructive detection without drilling.However,current identification often relies on manual inspection,which requires extensive experience,suffers from low efficiency,and is highly subjective.As the results are presented as radar images,image processing methods can be applied for fast and objective identification.Deep learning-based approaches now offer a robust solution for automated roadbed disease detection.This study proposes an enhanced Faster Region-based Convolutional Neural Networks(R-CNN)framework integrating ResNet-50 as the backbone and two-dimensional discrete Fourier spectrum transformation(2D-DFT)for frequency-domain feature fusion.A dedicated GPR image dataset comprising 1650 annotated images was constructed and augmented to 6600 images via median filtering,histogram equalization,and binarization.The proposed model segments defect regions,applies binary masking,and fuses frequency-domain features to improve small-target detection under noisy backgrounds.Experimental results show that the improved Faster R-CNN achieves a mean Average Precision(mAP)of 0.92,representing a 0.22 increase over the baseline.Precision improved by 26%while recall remained stable at 87%.The model was further validated on real urban road data,demonstrating robust detection capability even under interference.These findings highlight the potential of combining GPR with deep learning for efficient,non-destructive roadbed health monitoring.展开更多
BACKGROUND Gastrointestinal(GI)tumors are among the most prevalent malignancies,and surgical intervention remains a primary treatment modality.However,the complexity of GI surgery often leads to prolonged recovery and...BACKGROUND Gastrointestinal(GI)tumors are among the most prevalent malignancies,and surgical intervention remains a primary treatment modality.However,the complexity of GI surgery often leads to prolonged recovery and high postoperative complication rates,which threaten patient safety and functional outcomes.Enhanced recovery after surgery(ERAS)principles have been shown to improve perioperative outcomes through evidence-based,multidisciplinary care pathways.Despite its widespread adoption,there is a paucity of research focusing specifically on optimizing ERAS-guided nursing processes in the post-anesthesia care unit(PACU)and evaluating its impact on perioperative safety in patients undergoing GI tumor surgery.This study aimed to investigate whether an ERASbased PACU nursing protocol could enhance recovery,reduce complications,and improve patient safety in this surgical population.AIM To explore the impact of optimizing the recovery room nursing process based on ERAS on the perioperative safety of patients with GI tumors.METHODS A total of 260 patients with GI tumors who underwent elective surgeries under general anesthesia in our hospital from August 2023 to August 2025 and were then observed in the recovery unit(PACU)were selected.They were randomly divided into the observation group(the PACU nursing process was optimized based on ERAS)and the control group(the conventional PACU nursing process was adopted)by the random number grouping method,with 130 cases in each group.The time of gastric tube removal,urinary catheter removal,defecation time,hospital stay,time of leaving the room after tube removal,retention time in the recovery room,occurrence of complications,satisfaction and readmission rate were compared between the two groups after entering the room.Compare the occurrence of adverse events in the PACU nursing process between the two groups.RESULTS The time of gastric tube removal,urinary catheter removal,defecation time,hospital stay,retention time in the recovery room,total incidence of complications and readmission rate in the observation group were significantly lower than those in the control group,and the satisfaction rate was higher than that in the control group(P<0.05).The occurrence of adverse events in the PACU nursing process in the observation group was lower than that in the control group(P<0.05).CONCLUSION Optimizing the PACU nursing process based on ERAS can effectively accelerate the recovery process of patients undergoing GI tumor surgery,reduce adverse events,improve nursing satisfaction,and at the same time,lower the incidence of adverse events in the PACU nursing process,providing a more refined management basis for clinical practice.展开更多
MnO_(x)-CeO_(2)catalysts for the low-temperature selective catalytic reduction(SCR)of NO remain vulnerable to water and sulfur poisoning,limting their practical applications.Herein,we report a hydrophobic-modified MnO...MnO_(x)-CeO_(2)catalysts for the low-temperature selective catalytic reduction(SCR)of NO remain vulnerable to water and sulfur poisoning,limting their practical applications.Herein,we report a hydrophobic-modified MnO_(x)-CeO_(2)catalyst that achieves enhanced NO conversion rate and stability under harsh conditions.The catalyst was synthesized by decorating MnOx crystals with amorphous CeO_(2),followed by loading hydrophobic silica on the external surfaces.The hydrophobic silica allowed the adsorption of NH_(3)and NO and diffusion of H,suppressed the adsorption of H_(2)O,and prevented SO_(2)interaction with the Mn active sites,achieving selective molecular discrimination at the catalyst surface.At 120℃,under H_(2)O and SO_(2)exposure,the optimal hydrophobic catalyst maintains 82%NO conversion rate compared with 69%for the unmodified catalyst.The average adsorption energies of NH_(3),H_(2)O,and SO_(2)decreased by 0.05,0.43,and 0.52 eV,respectively.The NO reduction pathway follows the Eley-Rideal mechanism,NH_(3)^(*)+*→NH_(2)^(*)+H^(*)followed by NH_(2)^(*)+NO^(*)→N_(2)^(*)+H_(2)O^(*),with NH_(3)dehydrogenation being the rate determining step.Hydrophobic modification increased the activation energy for H atom transfer,leading to a minor decrease in the NO conversion rate at 120℃.This work demonstrates a viable strategy for developing robust NH_(3)-S CR catalysts capable of efficient operation in water-and sulfur-rich environments.展开更多
基金financially supported by National Key Research and Development Program of China (No.2021YFD1800900)National Natural Science Foundation of China (No.82073790)+2 种基金Special Fund for Youth Team of Southwest University (No.SWUXJLJ202306)Chongqing Science and Technology Commission (Nos.CSTB2022TIAD-LUX0001,CSTB2023NSCQ-JQX0002)Innovation Research 2035 Pilot Plan of Southwest University (No.SWUXDPY22007)。
文摘Chitosan(CS),a natural polymer derived from chitin found in the exoskeletons of crustaceans,has garnered significant interest in the pharmaceutical field due to its unique properties,including biocompatibility and biodegradability.In recent years,various studies have reported that CS can affect drug bioavailability,and interestingly,it works as an oral absorption enhancer and inhibitor.This review offers an in-depth analysis of the mechanisms underlying such a phenomenon and supports its application as a pharmaceutical excipient.CS enhances oral drug absorption through various mechanisms,such as interaction with the intestinal mucosa,tight junction modulation,inhibition of efflux transporters,enzyme inhibition,solubility and stability enhancement,and complexation.On the other side,CS exhibits the ability to inhibit the absorption of certain drugs by adsorbing to lipids and sterols,modulating bile acids and gut microbiota,altering drug-cell interaction at the polar interface,and mucus-mediated entrapment and interference.Future potential pharmaceutical research in this field includes elucidating the underneath absorption relevant mechanisms,rational use in formulations as excipient,exploring functional CS derivatives,and developing CS-based drug delivery systems.This comprehensive review highlights CS's versatile and significant role in enhancing and inhibiting oral drug absorption,providing insights into the complexities of drug delivery and the potential of CS to improve therapeutic outcomes.
基金supported by the Shandong Province Medical and Health Technology Project(202303111442).
文摘Background:Long non-coding RNAs(lncRNAs)act as epigenetic regulators for tumor hallmarks.This investigation sought to probe the carcinogenic trait of PAN3-AS1 across pan-cancer comprehensively.Methods:We studied the diagnostic and prognostic features and the immune landscape of PAN3-AS1 across pan-cancer by bioinformatics approaches.The hierarchical regulatory networks governing PAN3-AS1 expression in colon cancer were explored via chromatin immunoprecipitation,luciferase activity assays,and RNA immunoprecipitation,etc.We screened drugs sensitive to WAP four-disulfide core domain 13(WFDC13)by virtual screening and molecular docking.Results:Single-cell transcriptomics demonstrated that a variety of immune populations abnormally expressed PAN3-AS1 beyond tumor cells.Integration of data from multiple databases revealed that PAN3-AS1 was highly expressed and associated with a bad prognosis in various malignancies.Notably,PAN3-AS1 expression was correlated with a suppressive immune microenvironment.Moreover,we observed poor immunotherapy efficacy when PAN3-AS1 was highly expressed in melanoma.In vitro assays and functional enrichment analysis revealed that PAN3-AS1 was associated with cell proliferation and the immune response in colon cancer.Our experiments confirmed that PAN3-AS1 facilitated WFDC13 expression through competitive binding to hsa-miR-423-5p in colon cancer.Moreover,the present paper illustrated that enhancer activity exerts an important modulatory ability for PAN3-AS1 expression.Conclusion:In short,PAN3-AS1 is a valuable biomarker for diagnosis and prognosis.PAN3-AS1 exhibits linkage to a cold tumor immune microenvironment(TME)and forecasts durable benefit from immunotherapy.Addressing the PAN3-AS1/miR-423-5p/WFDC13 axis might provide a novel option for improving immunotherapy efficacy in colon cancer.
基金supported by the National Natural Science Foundation of China(Nos.82171552 and 82170479)the Natural Science Foundation of Shanghai Ctiy(No.21ZR1457500)the Science and Technology Bureau of Shanghai Putuo District(No.ptkwws202102).
文摘Magnolol,a compound extracted from Magnolia officinalis,demonstrates potential efficacy in addressing metabolic dysfunction and cardiovascular diseases.Its biological activities encompass anti-inflammatory,antioxidant,anticoagulant,and anti-diabetic effects.Growth/differentiation factor-15(GDF-15),a member of the transforming growth factorβsuperfamily,is considered a potential therapeutic target for metabolic disorders.This study investigated the impact of magnolol on GDF-15 production and its underlying mechanism.The research examined the pharmacological effect of magnolol on GDF-15 expression in vitro and in vivo,and determined the involvement of endoplasmic reticulum(ER)stress signaling in this process.Luciferase reporter assays,chromatin immunoprecipitation,and in vitro DNA binding assays were employed to examine the regulation of GDF-15 by activating transcription factor 4(ATF4),CCAAT enhancer binding proteinγ(CEBPG),and CCCTC-binding factor(CTCF).The study also investigated the effect of magnolol and ATF4 on the activity of a putative enhancer located in the intron of the GDF-15 gene,as well as the influence of single nucleotide polymorphisms(SNPs)on magnolol and ATF4-induced transcription activity.Results demonstrated that magnolol triggers GDF-15 production in endothelial cells(ECs),hepatoma cell line G2(HepG2)and hepatoma cell line 3B(Hep3B)cell lines,and primary mouse hepatocytes.The cooperative binding of ATF4 and CEBPG upstream of the GDF-15 gene or the E1944285 enhancer located in the intron led to full-power transcription of the GDF-15 gene.SNP alleles were found to impact the magnolol and ATF4-induced transcription activity of GDF-15.In high-fat diet ApoE^(-/-)mice,administration of magnolol induced GDF-15 production and partially suppressed appetite through GDF-15.These findings suggest that magnolol regulates GDF-15 expression through priming of promoter and enhancer activity,indicating its potential as a drug for the treatment of metabolic disorders.
基金Supported by General Project of Chongqing Technology Innovation and Application Demonstration(Social People s Livelihood Category)(cstc2018jscx-msybX0215)Horizontal Project of Chongqing Agricultural Technology Extension Station(WLHX-2021-0113).
文摘[Objectives]This study was conducted to investigate the effects of biochar-based fertilizer on high yield and quality of green pepper(Zanthoxylum armatum var.novemfolius)and soil nutrient status.[Methods]With green pepper and pepper field soil as the research subjects,four treatments were set up,namely,conventional fertilization(T_(1)),conventional fertilization+biochar(T_(2)),biochar-based fertilizer 1(T_(3)),and biochar-based fertilizer 2(T_(4)).[Results]The application of biochar-based fertilizer increased green pepper yield by 9.37%-51.12%,with the order of increase being T_(4)>T_(3)>T_(2)>T_(1).In terms of soil nutrients,biochar-based fertilizer raised soil pH by 6.67%-53.33%,with the order of increase being T_(3)>T_(4)>T_(2)>T_(1).The initially strongly acidic soil gradually shifted to weakly acidic and approached neutral,indicating significantly improved soil acidity.The application of biochar-based fertilizer increased the contents of soil organic matter,available nitrogen,available phosphorus,available potassium,available copper,available zinc,available iron,and available manganese.It significantly enhanced green pepper yield,improved soil acidity,and elevated soil nutrient levels.Considering yield,nutrient uptake,and soil nutrient content,biochar-based fertilizer 2(T_(4))was identified as the optimal treatment.[Conclusions]This study provides a theoretical basis for improving green pepper yield and soil amendment.
文摘The increasing challenges of environmental degradation,soil erosion,and climate change have driven interest in sustainable solutions like enhanced weathering(EW)and phytoremediation.Elephant Grass(Cenchrus purpureus),a fast-growing perennial species,shows promise as a bioaccumulator and agent for soil weathering.This study assessed the potential of C.purpureus to improve soil quality through heavy metal(HM)uptake and EW facilitation.A 60-day greenhouse pot experiment at Jackson State University evaluated plant performance in soils amended with metabasalt rock powder at 1:1 and 2:1 rock-to-soil ratios.Biomass,growth,and HM concentrations in roots and shoots were measured via ICP-MS after wet digestion.Soil pH and magnesium(Mg)release were also monitored to assess weathering and carbon drawdown.Results showed that C.purpureus accumulated more HMs in roots at higher amendment levels,while at lower levels,metals like As,Cd,and Cr were more translocated to shoots,enhancing phytoextraction potential.High treatment favored Fe and Al uptake,possibly reducing toxic metal accumulation in edible parts.Notably,C.purpureus contributed to the weathering of 38%of metabasalt rock,leading to a 42%increase in Mg release.With high biomass,HM tolerance,and weathering capacity,C.purpureus offers a sustainable strategy for soil remediation,improved soil health,and potential support for renewable energy systems.
文摘Objective:In recent decades,studies have underscored nuclear proteins and signaling pathways in prostate cancer(PCa)development.Key biomarkers like Enhancer of zeste homolog 2(EZH2)and Forkhead box M1(FOXM1)are expressed in both healthy and malignant prostate cells.This study aimed to demonstrate the relationship between pathological characteristics,survival,recurrence,and tissue expression of EZH2 and FOXM1 in high-risk PCa patients.Methods:PCa tissues were used in a retrospective analysis that spanned from September 2009 to August 2019.Inclusion criteria comprised pathological tumor stage(pT)3 patients with positive surgical margins or tumor proximity to inked margins within 5 mm.After case selection,tissue slides were stained for EZH2 and FOXM1 antibodies,and Allred scores were calculated.Patients or relatives of deceased patients were contacted for signed agreements and disease follow-ups.Results:The pT3b,ductal carcinoma component,and moderate EZH2 expression were associated with relapse(odds ratio[OR]6.21,95%confidence interval[CI]1.41-27.27,p=0.016;OR 7.29,95%CI 1.03-51.43,p=0.046;OR 5.96,95%CI 1.09-32.48,p=0.039;respectively).The unilateral and bilateral seminal vesicle invasion increased the likelihood of recurrence by 9.98 times and 5.36 times,and the risk of death by around 9.78 times and 10.79 times,respectively.The pT3b was linked to higher death likelihood(OR 7.16,95%CI 1.38-37.23,p=0.019),while moderate EZH2 expression did not show statistical significance(OR 4.54,95%CI 0.87-23.60,p=0.072,marginally).Pathological regional lymph node stage(pN)1 had significantly higher probability of mortality than pN unknown(3.9%vs.27%,p<0.001).PCa in the neck and apex of the prostate gland increased death risk tenfold.Conclusion:Sufficient immunoexpression of EZH2,ductal carcinoma component,and neoplastic proliferation in the seminal vesicles,apex and neck of the prostate gland correlates with elevated risks of recurrence and mortality.Clinicians should use these criteria for appropriate patient referrals,and a multicenter trial could provide accurate classifications.
基金supported by the National Natural Science Foundation of China(grants 81970910 and 82370931)Jiangsu Province Capability Improvement Project through Science,Technology and Education-Jiangsu Provincial Research Hospital Cultivation Unit(YJXYYJSDW4)Jiangsu Provincial Medical Innovation Center(CXZX202227).
文摘Plp1-lineage Schwann cells(SCs)of peripheral nerve play a critical role in vascular remodeling and osteogenic differentiation during the early stage of bone healing,and the abnormal plasticity of SCs would jeopardize the bone regeneration.However,how Plp1-lineage cells respond to injury and initiate the vascularized osteogenesis remains incompletely understood.Here,by employing single-cell transcriptional profiling combined with lineage-specific tracing models,we uncover that Plp1-lineage cells undergoing injury-induced glia-to-MSCs transition contributed to osteogenesis and revascularization in the initial stage of bone injury.Importantly,our data demonstrated that the Sonic hedgehog(Shh)signaling was responsible for the transition process initiation,which was strongly activated by c-Jun/SIRT6/BAF170 complex-driven Shh enhancers.Collectively,these findings depict an injuryspecific niche signal-mediated Plp1-lineage cells transition towards Gli1+MSCs and may be instructive for approaches to promote bone regeneration during aging or other bone diseases.
基金supported by the National Science Fund for Excellent Young Scholars(NSFC-82322058)the Program of National Natural Science Foundation of China(NSFC-82103929,NSFC-82273713)+10 种基金the Young Elite Scientists Sponsorship Program by CAST(2022QNRC001)the National Science Fund for Distinguished Young Scholars of Hubei Province of China(2023AFA046)the Fundamental Research Funds for the Central Universities(WHU:2042022kf1205)Fundamental Research Funds for the Central Universities(WHU:2042022kf1031)for Ying Zhuthe Fundamental Research Funds for the Central Universities(2042022rc0026,2042023kf1005)for Xiao-Ping Miaothe Knowledge Innovation Program of Wuhan(whkxjsj011,2023020201010073)for Jian-Bo Tianthe Science and Technology Innovation Seed Fund of Zhongnan Hospital of Wuhan University(znpy2019060)for Yong-Chang Weithe Distinguished Young Scholars of China(NSFC-81925032)the Key Program of National Natural Science Foundation of China(NSFC-82130098)the Youth Program of National Natural Science Foundation of China(NSFC-82003547)the Program of Health Commission of Hubei Province(WJ2023M045)。
文摘Background:Dysregulation of enhancer transcription occurs in multiple cancers.Enhancer RNAs(eRNAs)are transcribed products from enhancers that play critical roles in transcriptional control.Characterizing the genetic basis of eRNA expression may elucidate the molecular mechanisms underlying cancers.Methods:Initially,a comprehensive analysis of eRNA quantitative trait loci(eRNAQTLs)was performed in The Cancer Genome Atlas(TCGA),and functional features were characterized using multi-omics data.To establish the first eRNAQTL profiles for colorectal cancer(CRC)in China,epigenomic data were used to define active enhancers,which were subsequently integrated with transcription and genotyping data from 154 paired CRC samples.Finally,largescale case-control studies(34,585 cases and 69,544 controls)were conducted along with multipronged experiments to investigate the potential mechanisms by which candidate eRNAQTLs affect CRC risk.Results:A total of 300,112 eRNAQTLs were identified across 30 different cancer types,which exert their influence on eRNA transcription by modulating chromatin status,binding affinity to transcription factors and RNA-binding proteins.These eRNAQTLs were found to be significantly enriched in cancer risk loci,explaining a substantial proportion of cancer heritability.Additionally,tumor-specific eRNAQTLs exhibited high responsiveness to the development of cancer.Moreover,the target genes of these eRNAs were associated with dysregulated signaling pathways and immune cell infiltration in cancer,highlighting their potential as therapeutic targets.Furthermore,multiple ethnic population studies have confirmed that an eRNAQTL rs3094296-T variant decreases the risk of CRC in populations from China(OR=0.91,95%CI 0.88–0.95,P=2.92×10^(-7))and Europe(OR=0.92,95%CI 0.88–0.95,P=4.61×10^(-6)).Mechanistically,rs3094296 had an allele-specific effect on the transcription of the eRNA ENSR00000155786,which functioned as a transcriptional activator promoting the expression of its target gene SENP7.These two genes synergistically suppressed tumor cell proliferation.Our curated list of variants,genes,and drugs has been made available in CancereRNAQTL(http://canernaqtl.whu.edu.cn/#/)to serve as an informative resource for advancing this field.Conclusion:Our findings underscore the significance of eRNAQTLs in transcriptional regulation and disease heritability,pinpointing the potential of eRNA-based therapeutic strategies in cancers.
文摘Weakly Supervised Semantic Segmentation(WSSS),which relies only on image-level labels,has attracted significant attention for its cost-effectiveness and scalability.Existing methods mainly enhance inter-class distinctions and employ data augmentation to mitigate semantic ambiguity and reduce spurious activations.However,they often neglect the complex contextual dependencies among image patches,resulting in incomplete local representations and limited segmentation accuracy.To address these issues,we propose the Context Patch Fusion with Class Token Enhancement(CPF-CTE)framework,which exploits contextual relations among patches to enrich feature repre-sentations and improve segmentation.At its core,the Contextual-Fusion Bidirectional Long Short-Term Memory(CF-BiLSTM)module captures spatial dependencies between patches and enables bidirectional information flow,yield-ing a more comprehensive understanding of spatial correlations.This strengthens feature learning and segmentation robustness.Moreover,we introduce learnable class tokens that dynamically encode and refine class-specific semantics,enhancing discriminative capability.By effectively integrating spatial and semantic cues,CPF-CTE produces richer and more accurate representations of image content.Extensive experiments on PASCAL VOC 2012 and MS COCO 2014 validate that CPF-CTE consistently surpasses prior WSSS methods.
基金funded by the National Natural Science Foundation of China,grant numbers 52374156 and 62476005。
文摘Images taken in dim environments frequently exhibit issues like insufficient brightness,noise,color shifts,and loss of detail.These problems pose significant challenges to dark image enhancement tasks.Current approaches,while effective in global illumination modeling,often struggle to simultaneously suppress noise and preserve structural details,especially under heterogeneous lighting.Furthermore,misalignment between luminance and color channels introduces additional challenges to accurate enhancement.In response to the aforementioned difficulties,we introduce a single-stage framework,M2ATNet,using the multi-scale multi-attention and Transformer architecture.First,to address the problems of texture blurring and residual noise,we design a multi-scale multi-attention denoising module(MMAD),which is applied separately to the luminance and color channels to enhance the structural and texture modeling capabilities.Secondly,to solve the non-alignment problem of the luminance and color channels,we introduce the multi-channel feature fusion Transformer(CFFT)module,which effectively recovers the dark details and corrects the color shifts through cross-channel alignment and deep feature interaction.To guide the model to learn more stably and efficiently,we also fuse multiple types of loss functions to form a hybrid loss term.We extensively evaluate the proposed method on various standard datasets,including LOL-v1,LOL-v2,DICM,LIME,and NPE.Evaluation in terms of numerical metrics and visual quality demonstrate that M2ATNet consistently outperforms existing advanced approaches.Ablation studies further confirm the critical roles played by the MMAD and CFFT modules to detail preservation and visual fidelity under challenging illumination-deficient environments.
基金funded by the National Natural Science Foundation of China(Grant No.62441212)the Major Project of the Natural Science Foundation of Inner Mongolia(Grant No.2025ZD008).
文摘Aiming at the problem of insufficient recognition of implicit variants by existing Chinese sensitive text detection methods,this paper proposes the IPKE-MoE framework,which consists of three parts,namely,a sensitive word variant extraction framework,a sensitive word variant knowledge enhancement layer and a mixture-of-experts(MoE)classification layer.First,sensitive word variants are precisely extracted through dynamic iterative prompt templates and the context-aware capabilities of Large Language Models(LLMs).Next,the extracted variants are used to construct a knowledge enhancement layer for sensitive word variants based on RoCBert models.Specifically,after locating variants via n-gram algorithms,variant types are mapped to embedding vectors and fused with original word vectors.Finally,a mixture-of-experts(MoE)classification layer is designed(sensitive word,sentiment,and semantic experts),which decouples the relationship between sensitiveword existence and text toxicity throughmultiple experts.This framework effectively combines the comprehension ability of Large Language Models(LLMs)with the discriminative ability of smaller models.Our two experiments demonstrate that the sensitive word variant extraction framework based on dynamically iterated prompt templates outperforms other baseline prompt templates.TheRoCBert models incorporating the sensitive word variant knowledge enhancement layer and a mixture-of-experts(MoE)classification layer achieve superior classification performance compared to other baselines.
基金financially supported by the National Natural Science Foundation of China(No.52374259)the Open Fund of the State Key Laboratory of Mineral Processing Science and Technology,China(No.BGRIMM-KJSKL-2023-11)the Major Science and Technology Projects in Yunnan Province,China(No.202302 AF080004)。
文摘It is difficult to recover chrysocolla from sulfidation flotation which is closely related to the mineral surface composition.In this study,the effects of fluoride roasting on the surface composition of chrysocolla were investigated,its impact on sulfidation flotation was explored,and the mechanisms involved in both fluoride roasting and sulfidation flotation were discussed.With CaF_(2)as the roasting reagent,Na_(2)S·9H_(2)O as the sulfidation reagent,and sodium butyl xanthate(NaBX)as the collector,the results of the flotation experiments showed that fluoride roasting improved the floatability of chrysocolla,and the recovery rate increased from 16.87%to 82.74%.X-ray diffraction analysis revealed that after fluoride roasting,approximately all the Cu on the chrysocolla surface was exposed in the form of CuO,which could provide a basis for subsequent sulfidation flotation.The microscopy and elemental analyses revealed that large quantities of"pagoda-like"grains were observed on the sulfidation surface of the fluoride-roasted chrysocolla,indicating high crystallinity particles of copper sulfide.This suggests that the effect of sulfide formation on the chrysocolla surface was more pronounced.X-ray photoelectron spectroscopy revealed that fluoride roasting increased the relative contents of sulfur and copper on the surface and that both the Cu~+and polysulfide fractions on the surface of the minerals increased.This enhances the effect of sulfidation,which is conducive to flotation recovery.Therefore,fluoride roasting improved the effect of copper species transformation and sulfidation on the surface of chysocolla,promoted the adsorption of collectors,and improved the recovery of chrysocolla from sulfidation flotation.
文摘Heat exchangers play a crucial role in thermal energy systems,with their performance directly impacting efficiency,cost,and environmental impact.Apowerful technique for performance improvement can be given by passive enhancement strategies,which are characterized by their dependability and minimal external power requirements.This comprehensive review critically assesses recent advancements in such passive methods to evaluate their heat transfer mechanisms,performance characteristics,and practical implementation challenges.Our methodology involves a systematic and comprehensive analysis of various heat transfer enhancement techniques,including surface modifications,extended surfaces,swirl flow devices,and tube inserts.This approach synthesizes and integrates findings from a broad spectrum of experimental investigations and numerical simulations to establish a cohesive understanding of their performance characteristics and underlyingmechanisms.Based on the findings,passive heat transfer techniques result in significant improvements in thermal performance;for instance,corrugated and roughened surfaces increase the heat transfer coefficient by 50%–200%,and advanced insert geometries,such as modified twisted tapes,can increase it by more than 300%,typically accompanied by significant pressure-drop penalties.However,an important finding is the general trade-off between enhanced heat transfer and higher frictional loss,which requires optimization depending on the applications.Finally,this review also provides recommendations that will document the gaps of various passive techniques in heat exchangers to future address.
基金supported by the Natural Science Foundation of China(No.52470105)the Young Taishan Scholars Program of Shandong Province(No.358202103017).
文摘The discharge of micro-polluted water from sources such as agricultural runoff,urban stormwater,and treated effluents presents significant challenges to aquatic ecosystems.Constructed wetlands(CWs)have gained recog-nition as an eco-friendly solution for removing pollutants from various wastewater sources and are increasingly applied for micro-polluted water treatment.By reviewing 78 full-scale CW studies from Web of Science,it is summarized that the ranges of ammonium nitrogen(NH4+-N)concentrations in runoff,wastewater treatment plant effluent and polluted river were 0.1–6.6,0.3–12.3,and 0.2–41.1 mg/L,respectively.The ranges of ni-trate nitrogen concentrations were 0.2–14.2,0–5.7,and 0–2.6 mg/L,respectively.Removal efficiencies of CWs for micro-polluted water varied by CW types.The total nitrogen removal efficiencies for subsurface-flow CWs,free-water surface-flow CWs,and hybrid CWs ranged from 27.4%to 66.5%,16.8%to 89.8%,and 19.4%to 88.2%,respectively.The NH4+-N removal efficiencies ranged from 34.2%to 73.6%,38.4%to 89.4%and 13.5%to 94.2%,respectively.Additionally,other factors influencing contaminant removal efficiency such as hydraulic retention time,vegetation types,redox micro-environment and influent water quality were evaluated.Based on these findings,two strategies for improving the purification performance of CWs were proposed:the selection of incorporating electron donor substrates and the optimization of operation parameters.This paper serves as a synthesis of information to guide future research and full-scale CW applications in micro-polluted water treatment.
基金supported by he National Social Science Found of China(2022-SKJJ-B-112).
文摘In this paper,we propose a novel graph signal processing convolution recurrent network(GSP CRN)for signal enhancement against high suppressive interference(HSI)in wireless communications.GSPCRN consists of the short-time graph signal processing(SGSP)approach and a modified convolution recurrent network.Similar to the traditional shorttime time-frequency transformation,SGSP frames the complex-valued communication signal and transforms it to the graph-domain representations,where the connection and weight flexibility of each vertex are fully taken into account.In the presence of HSI,SGSP can extract signal features from new graph-domain dimensions and empower neural networks for weak signal enhancement.Two SGSP methods,adjacency singular value decomposition and implicit graph transformation,are designed to capture relationships among the sampling points in the segmented signals.Simulation results demonstrate that our proposed GSPCRN outperforms existing classic methods in extracting weak signals from the HSI environment.When the interference-to-signal ratio exceeds 27dB,only our proposed GSPCRN can achieve the interference mitigation.
基金supported by the Second Batch of Key Textbook Construction Projects of“14th Five-Year Plan”of Zhejiang Vocational Colleges(SZDJC-2412).
文摘Roadbed disease detection is essential for maintaining road functionality.Ground penetrating radar(GPR)enables non-destructive detection without drilling.However,current identification often relies on manual inspection,which requires extensive experience,suffers from low efficiency,and is highly subjective.As the results are presented as radar images,image processing methods can be applied for fast and objective identification.Deep learning-based approaches now offer a robust solution for automated roadbed disease detection.This study proposes an enhanced Faster Region-based Convolutional Neural Networks(R-CNN)framework integrating ResNet-50 as the backbone and two-dimensional discrete Fourier spectrum transformation(2D-DFT)for frequency-domain feature fusion.A dedicated GPR image dataset comprising 1650 annotated images was constructed and augmented to 6600 images via median filtering,histogram equalization,and binarization.The proposed model segments defect regions,applies binary masking,and fuses frequency-domain features to improve small-target detection under noisy backgrounds.Experimental results show that the improved Faster R-CNN achieves a mean Average Precision(mAP)of 0.92,representing a 0.22 increase over the baseline.Precision improved by 26%while recall remained stable at 87%.The model was further validated on real urban road data,demonstrating robust detection capability even under interference.These findings highlight the potential of combining GPR with deep learning for efficient,non-destructive roadbed health monitoring.
基金Supported by 2025 Henan Medical Education Research Project,No.WJLX2025038.
文摘BACKGROUND Gastrointestinal(GI)tumors are among the most prevalent malignancies,and surgical intervention remains a primary treatment modality.However,the complexity of GI surgery often leads to prolonged recovery and high postoperative complication rates,which threaten patient safety and functional outcomes.Enhanced recovery after surgery(ERAS)principles have been shown to improve perioperative outcomes through evidence-based,multidisciplinary care pathways.Despite its widespread adoption,there is a paucity of research focusing specifically on optimizing ERAS-guided nursing processes in the post-anesthesia care unit(PACU)and evaluating its impact on perioperative safety in patients undergoing GI tumor surgery.This study aimed to investigate whether an ERASbased PACU nursing protocol could enhance recovery,reduce complications,and improve patient safety in this surgical population.AIM To explore the impact of optimizing the recovery room nursing process based on ERAS on the perioperative safety of patients with GI tumors.METHODS A total of 260 patients with GI tumors who underwent elective surgeries under general anesthesia in our hospital from August 2023 to August 2025 and were then observed in the recovery unit(PACU)were selected.They were randomly divided into the observation group(the PACU nursing process was optimized based on ERAS)and the control group(the conventional PACU nursing process was adopted)by the random number grouping method,with 130 cases in each group.The time of gastric tube removal,urinary catheter removal,defecation time,hospital stay,time of leaving the room after tube removal,retention time in the recovery room,occurrence of complications,satisfaction and readmission rate were compared between the two groups after entering the room.Compare the occurrence of adverse events in the PACU nursing process between the two groups.RESULTS The time of gastric tube removal,urinary catheter removal,defecation time,hospital stay,retention time in the recovery room,total incidence of complications and readmission rate in the observation group were significantly lower than those in the control group,and the satisfaction rate was higher than that in the control group(P<0.05).The occurrence of adverse events in the PACU nursing process in the observation group was lower than that in the control group(P<0.05).CONCLUSION Optimizing the PACU nursing process based on ERAS can effectively accelerate the recovery process of patients undergoing GI tumor surgery,reduce adverse events,improve nursing satisfaction,and at the same time,lower the incidence of adverse events in the PACU nursing process,providing a more refined management basis for clinical practice.
基金financially sponsored by the National Natural Science Foundation of China(No.52204414)the National Energy-Saving and Low-Carbon Materials Production and Application Demonstration Platform Program,China(No.TC220H06N)+1 种基金the National Key R&D Program of China(No.2021YFC1910504)the Fundamental Research Funds for the Central Universities,China(No.FRFTP-20-097A1Z)。
文摘MnO_(x)-CeO_(2)catalysts for the low-temperature selective catalytic reduction(SCR)of NO remain vulnerable to water and sulfur poisoning,limting their practical applications.Herein,we report a hydrophobic-modified MnO_(x)-CeO_(2)catalyst that achieves enhanced NO conversion rate and stability under harsh conditions.The catalyst was synthesized by decorating MnOx crystals with amorphous CeO_(2),followed by loading hydrophobic silica on the external surfaces.The hydrophobic silica allowed the adsorption of NH_(3)and NO and diffusion of H,suppressed the adsorption of H_(2)O,and prevented SO_(2)interaction with the Mn active sites,achieving selective molecular discrimination at the catalyst surface.At 120℃,under H_(2)O and SO_(2)exposure,the optimal hydrophobic catalyst maintains 82%NO conversion rate compared with 69%for the unmodified catalyst.The average adsorption energies of NH_(3),H_(2)O,and SO_(2)decreased by 0.05,0.43,and 0.52 eV,respectively.The NO reduction pathway follows the Eley-Rideal mechanism,NH_(3)^(*)+*→NH_(2)^(*)+H^(*)followed by NH_(2)^(*)+NO^(*)→N_(2)^(*)+H_(2)O^(*),with NH_(3)dehydrogenation being the rate determining step.Hydrophobic modification increased the activation energy for H atom transfer,leading to a minor decrease in the NO conversion rate at 120℃.This work demonstrates a viable strategy for developing robust NH_(3)-S CR catalysts capable of efficient operation in water-and sulfur-rich environments.
