BACKGROUND Despite societal guidelines recommending targeted screening for Barrett’s esophagus(BE)and esophageal adenocarcinoma(EAC)in individuals with gastroesophageal reflux symptoms(GERS),screening adherence is su...BACKGROUND Despite societal guidelines recommending targeted screening for Barrett’s esophagus(BE)and esophageal adenocarcinoma(EAC)in individuals with gastroesophageal reflux symptoms(GERS),screening adherence is suboptimal.Current screening approaches fail to identify individuals not seeking medical consultation for GERS or whose GERS are managed with‘over-the-counter’(OTC)acid suppressant therapies.AIM To assess patients’self-management and help-seeking behavior for GERS.METHODS This cross-sectional study collected data from the Dutch general population aged 18-75 years between January and April 2023 using a web-based survey.The survey included questions regarding self-management(e.g.,use of acid suppressant therapy with or without prescription)and help-seeking behavior(e.g.,consulting a primary care provider)for GERS.Simple random sampling was performed to select individuals within the target age group.In total,18156 randomly selected individuals were invited to participate.The study protocol was registered in ClinicalTrials.gov(identifier:NCT05689918).RESULTS Of the 18156 invited individuals,3214 participants(17.7%)completed the survey,of which 1572 participants(48.9%)reported GERS.Of these,904 participants(57.5%)had never consulted a primary care provider for these symptoms,of which 331 participants(36.6%)reported taking OTC acid suppressant therapy in the past six months and 100 participants(11.1%)fulfilled the screening criteria for BE and EAC according to the European Society of Gastrointestinal Endoscopy Guideline.CONCLUSION The population fulfilling the screening criteria for BE and EAC is incompletely identified,suggesting potential underutilization of medical consultation.Raising public awareness of GERS as a risk factor for EAC is needed.展开更多
BACKGROUND Non-erosive reflux disease(NERD),the main gastroesophageal reflux subtype,features reflux symptoms without mucosal damage.Anxiety links to visceral hypersensitivity in NERD,yet mechanisms and animal models ...BACKGROUND Non-erosive reflux disease(NERD),the main gastroesophageal reflux subtype,features reflux symptoms without mucosal damage.Anxiety links to visceral hypersensitivity in NERD,yet mechanisms and animal models are unclear.AIM To establish a translational NERD rat model with anxiety comorbidity via tail clamping and study corticotropin-releasing hormone(CRH)-mediated neuroimmune pathways in visceral hypersensitivity and esophageal injury.METHODS Sprague-Dawley(SD)and Wistar rats were grouped into sham,model,and modified groups(n=10 each).The treatments for the modified groups were as follows:SD rats received ovalbumin/aluminum hydroxide suspension+acid perfusion±tail clamping(40 minutes/day for 7 days),while Wistar rats received fructose water+tail clamping.Esophageal pathology,visceral sensitivity,and behavior were assessed.Serum CRH,calcitonin gene-related peptide(CGRP),5-hydroxytryptamine(5-HT),and mast cell tryptase(MCT)and central amygdala(CeA)CRH mRNA were measured via ELISA and qRT-PCR.RESULTS Tail clamping induced anxiety,worsening visceral hypersensitivity(lower abdominal withdrawal reflex thresholds,P<0.05)and esophageal injury(dilated intercellular spaces and mitochondrial edema).Both models showed raised serum CRH,CGRP,5-HT,and MCT(P<0.01)and CeA CRH mRNA expression(P<0.01).Behavioral tests confirmed anxiety-like phenotypes.NERD-anxiety rats showed clinical-like symptom severity without erosion.CONCLUSION Tail clamping induces anxiety in NERD models,worsening visceral hypersensitivity via CRH neuroimmune dysregulation,offering a translational model and highlighting CRH as a treatment target.展开更多
Since Google introduced the concept of Knowledge Graphs(KGs)in 2012,their construction technologies have evolved into a comprehensive methodological framework encompassing knowledge acquisition,extraction,representati...Since Google introduced the concept of Knowledge Graphs(KGs)in 2012,their construction technologies have evolved into a comprehensive methodological framework encompassing knowledge acquisition,extraction,representation,modeling,fusion,computation,and storage.Within this framework,knowledge extraction,as the core component,directly determines KG quality.In military domains,traditional manual curation models face efficiency constraints due to data fragmentation,complex knowledge architectures,and confidentiality protocols.Meanwhile,crowdsourced ontology construction approaches from general domains prove non-transferable,while human-crafted ontologies struggle with generalization deficiencies.To address these challenges,this study proposes an OntologyAware LLM Methodology for Military Domain Knowledge Extraction(LLM-KE).This approach leverages the deep semantic comprehension capabilities of Large Language Models(LLMs)to simulate human experts’cognitive processes in crowdsourced ontology construction,enabling automated extraction of military textual knowledge.It concurrently enhances knowledge processing efficiency and improves KG completeness.Empirical analysis demonstrates that this method effectively resolves scalability and dynamic adaptation challenges in military KG construction,establishing a novel technological pathway for advancing military intelligence development.展开更多
AIM:To investigate the long-term outcomes in acute primary angle closure(APAC)patients treated with lens extraction(LE)surgery and to identify risk factors for glaucomatous optic neuropathy(GON).METHODS:In this longit...AIM:To investigate the long-term outcomes in acute primary angle closure(APAC)patients treated with lens extraction(LE)surgery and to identify risk factors for glaucomatous optic neuropathy(GON).METHODS:In this longitudinal observational study,detailed medical histories of APAC patients and comprehensive ophthalmic examinations at final followup were collected.Logistic regression analysis was performed to identify predictors of blindness.Univariate and multivariate linear regression analyses were conducted to determine risk factors associated with visual outcomes.RESULTS:This study included 39 affected eyes of 31 subjects(26 females)with an average age of 74.1±8.0y.At 6.7±4.2y after APAC attack,2(5.7%)eyes had bestcorrected visual acuity(VA)worse than 3/60.Advanced glaucomatous visual field loss was observed in 15(39.5%)affected eyes and 5(25.0%)fellow eyes.Nine affected eyes(23.7%)had GON,and 11(28.9%)were blind.Six(15.4%)affected eyes and 2(9.1%)fellow eyes had suspicious progression.A significantly higher blindness rate in factory workers compared to office workers.Logistic regression identified that worse VA at attack(OR 10.568,95%CI 1.288-86.695;P=0.028)and worse early postoperative VA(OR 13.214,95%CI 1.157-150.881;P=0.038)were risk factors for blindness.Multivariate regression showed that longer duration of elevated intraocular pressure(P=0.004)and worse early postoperative VA(P=0.009)were associated with worse visual outcomes.CONCLUSION:Despite LE surgery,some APAC patients experience continued visual function deterioration.Lifelong monitoring is necessary.Target pressure and progression rates should be re-evaluated during follow-up.展开更多
Objective:To extract,quantify,and evaluate the phenolic content in Opuntia ficus-indica skin for their antioxidant capacity with three different methods(ABTS,DPPH,and lipid oxidation)and to optimize the extraction con...Objective:To extract,quantify,and evaluate the phenolic content in Opuntia ficus-indica skin for their antioxidant capacity with three different methods(ABTS,DPPH,and lipid oxidation)and to optimize the extraction conditions[time,temperature and ethanol concentration)in a reflux system.Methods:The extraction process was done using a reflux system.A San CristobalⅡexperimental design with three variables and three levels was used.The variables evaluated were time of extraction(h),concentration of ethanol(%,v/v)and temperature(°C).The extraction process was optimized using a response surface methodology.Results:It was observed that at higher temperature more phenolic compounds were extracted,but the antioxidant capacity was decreased.The optimum conditions for phenolic compounds extraction and antioxidant capacity mixing the three methods were as Follows:45%of ethanol,80℃and 2 hours of extraction.Values obtained in our results are little higher that other previously reported.Conclusions:It can he concluded the by-products of Opuntia ficus-indica represent a good source of natural antioxidants with possible applications in food,cosmetics or drugs industries.展开更多
The extraction technology of phenolic acid compounds from Salvia miltiorrhiza by ethanol reflux was studied. In this experiment, salvianolic acid B standard was used to make the standard curve. Single factor experimen...The extraction technology of phenolic acid compounds from Salvia miltiorrhiza by ethanol reflux was studied. In this experiment, salvianolic acid B standard was used to make the standard curve. Single factor experiment and orthogonal experiment were used to study the extraction of different ethanol concentrations, reflux times and material-to-liquid ratios. The OD value of salvianolic acid compounds was measured with a spectrophotometer. The extraction rate of phenolic acid compounds under different extraction conditions was calculated through a regression equation, so as to obtain the optimal conditions for the ethanol reflux extraction process of Salvia miltiorrhiza. The experimental data can provide a reference for the ethanol reflux extraction process of salvianolic acids in the industry. According to the experiment, the extraction rate of phenolic acids in Salvia miltiorrhiza was the highest when the ethanol concentration was 60%, the reflux time was 1.5 hours, and the ratio of material-to-liquid was 1:10.展开更多
An efficient reflux extraction of polyethylene wax(PEW) in soil is presented, followed by molecular structure characterization methods to explore its degradation mechanism. To more realistically simulate the actual de...An efficient reflux extraction of polyethylene wax(PEW) in soil is presented, followed by molecular structure characterization methods to explore its degradation mechanism. To more realistically simulate the actual degradation of PE film powders in soil, low density PE(M=5 000) powders, being used as simulated PEW residue sample, were uniformly mixed with soil and then recovered by reflux extraction with decahydronaphthalen(decalin) at 90 ?C for 60 min. The average recovery of PEW from fortified soils was 96.5% with the developed reflux extraction procedure. The recovered PEW residue samples were characterized by infrared spectroscopy(IR), element analysis(EA), X-ray fluorescence(XFR), and high-temperature gel permeation chromatography(GPC). The results from spectra analysis show that there were no significant changes in molecular structures and molecular mass distribution of PEW samples after the reflux extraction, which demonstrate the reliability of this method. These results also indicate that the reflux extraction procedure and analytical methods of characterization could serve as a novel measurement technique to evaluate the degradation of low-density PE powders in soil over time.展开更多
With Pueraria edulis from different habitats in Yunnan Province,Guangdong Province and Guangxi Zhuang autonomous region as materials,the medicinal materials of P.edulis were extracted by ethanol condensation reflux ex...With Pueraria edulis from different habitats in Yunnan Province,Guangdong Province and Guangxi Zhuang autonomous region as materials,the medicinal materials of P.edulis were extracted by ethanol condensation reflux extraction and ultrasound-assisted extraction,and the effects of different extraction methods the contents of total flavonoids in P.edulis from different areas were compared.The results showed that the best extraction time for P.edulis in Yunnan Province was 20 min,and that for Guangdong and Guangxi Zhuang Autonomous Region was 30 min.The yield of total flavonoids from P.edulis extracted by the condensation reflux extraction method was relatively better.The content of total flavonoids in P.edulis in Yunnan was the highest with an average content of 0.2557%,while the average content of total flavonoids in P.edulis in Guangdong was the lowest with an average content of 0.2108%.展开更多
Gastroesophageal reflux disease(GERD)affects both adults and children,although the symptoms differ significantly between these groups.While adults typically experience heartburn and regurgitation,children may present ...Gastroesophageal reflux disease(GERD)affects both adults and children,although the symptoms differ significantly between these groups.While adults typically experience heartburn and regurgitation,children may present with more subtle signs,such as failure to thrive,chronic cough,wheezing,and Sandifer syn-drome.Diagnosing GERD in children necessitates a multifaceted approach due to the diverse symptomatology and challenges in communication.Clinical assess-ment serves as the cornerstone of diagnosis,supported by tools like pH moni-toring,esophageal impedance testing,and upper gastrointestinal endoscopy.Imaging studies,such as barium swallow,can also provide valuable insights into anatomical abnormalities and the extent of reflux.Treatment strategies for pe-diatric GERD include lifestyle adjustments,pharmacotherapy,and,in severe cases,surgical interventions.Lifestyle adjustments may involve changes in fee-ding patterns,positional therapy,and weight management.Pharmacological options range from acid suppression with proton pump inhibitors or histamine-2 receptor antagonists to surgical procedures like fundoplication for refractory cases.Personalized management is essential,considering the child’s age,sym-ptom severity,and the presence of complications.This article aims to offer a comprehensive understanding of pediatric GERD by utilizing current research to enhance clinical approaches and improve patient outcomes.展开更多
In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shippi...In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shipping is characterized by a vast array of document types, filled with complex, large-scale, and often chaotic knowledge and relationships. Effectively managing these documents is crucial for developing a Large Language Model (LLM) in the maritime domain, enabling practitioners to access and leverage valuable information. A Knowledge Graph (KG) offers a state-of-the-art solution for enhancing knowledge retrieval, providing more accurate responses and enabling context-aware reasoning. This paper presents a framework for utilizing maritime and shipping documents to construct a knowledge graph using GraphRAG, a hybrid tool combining graph-based retrieval and generation capabilities. The extraction of entities and relationships from these documents and the KG construction process are detailed. Furthermore, the KG is integrated with an LLM to develop a Q&A system, demonstrating that the system significantly improves answer accuracy compared to traditional LLMs. Additionally, the KG construction process is up to 50% faster than conventional LLM-based approaches, underscoring the efficiency of our method. This study provides a promising approach to digital intelligence in shipping, advancing knowledge accessibility and decision-making.展开更多
Solvent extraction is the main method used to separate and purify rare earth elements.In the process of rare earths extraction,emulsification often generated due to the instability of the aqueous and organic phases or...Solvent extraction is the main method used to separate and purify rare earth elements.In the process of rare earths extraction,emulsification often generated due to the instability of the aqueous and organic phases or improper operating conditions.Once emulsification occurs,it would not only lead to low rare earths recovery efficiency,small product quantities,high production costs and the losing of extractant and rare earth resources,but also result in serious environmental pollution.Therefore,it is very important to study the micro-mechanisms of emulsification and establish new methods to prevent emulsification at the source.In this paper,possible factors resulting in emulsification,such as the compositions and properties of the organic and aqueous phases,the operating conditions of the rare earths extraction are reviewed.The micro-mechanisms of emulsification are summarized basing on the microscopic structures in the bulk phase,aggregations of the extractants at the organic-aqueous interface,spectral characterizations and computational simulations.On this basis,new formation mechanisms are proposed for emulsification.Preliminary explorations are employed to verify the correctness of these new viewpoints.Finally,future directions for studies of the emulsification micro-mechanism are proposed.This study provides a theoretical basis for further understanding the micro-mechanisms of interfacial instability resulting in emulsification in the process of rare earths extraction.展开更多
Gastroesophageal reflux disease(GERD)poses a substantial global health challenge,with prevalence rates exhibiting geographical variation.Despite its widespread recognition,the exact prevalence and associated risk fact...Gastroesophageal reflux disease(GERD)poses a substantial global health challenge,with prevalence rates exhibiting geographical variation.Despite its widespread recognition,the exact prevalence and associated risk factors remain elusive.This article comprehensively analyzed the global burden of GERD,shedding light on its risk factors,underlying pathophysiological mechanisms,current diagnostic modalities,evolving management strategies tailored to diverse patient profiles,and complex determinants contributing to treatment failures.A deeper comprehension of GERD is achieved by dissecting these intricate facets,paving the way for enhanced clinical management and improved patient outcomes.展开更多
OBJECTIVE:To evaluate the safety and efficacy of Hewei Jiangni recipe(和胃降逆方,HWJNR)for treating nonerosive gastroesophageal reflux(NERD)with cold-heat complex syndrome and to clarify its mechanism based on correla...OBJECTIVE:To evaluate the safety and efficacy of Hewei Jiangni recipe(和胃降逆方,HWJNR)for treating nonerosive gastroesophageal reflux(NERD)with cold-heat complex syndrome and to clarify its mechanism based on correlation analyses of intestinal flora and metabolites.METHODS:Seventy-two patients with NERD and the Traditional Chinese Medicine(TCM)syndrome of intermingled heat and cold were randomly assigned to either the TCM group or the Western Medicine group,each receiving 8 weeks of treatment.The primary outcome was the score of the gastroesophageal reflux disease questionnaire(GERD-Q).Additionally,10 healthy individuals were recruited.Mechanistic outcomes included correlation analyses of intestinal flora and metabolites in healthy individuals and NERD participants before and after treatment.RESULTS:After 8 weeks,the effectiveness rate was 90%in the TCM group and 86.67%in the Western Medicine group(P>0.05).Compared with omeprazole,the TCM group significantly improved quality of life and alleviated symptoms such as loss of appetite,fatigue,bowel sounds,and coldness in the hands and feet(P<0.05).Dysregulation of intestinal flora and metabolic pathways in NERD patients was restored to balance after TCM treatment,which appeared related to the TCM regulation of"cold and heat disorders."CONCLUSION:HWJNR was clinically as effective as omeprazole and demonstrated advantages in improving quality of life.展开更多
OBJECTIVE:To explore if Hewei Jiangni granule(和胃降逆颗粒,HWJNG)could regulate esophageal hypersensitivity via stromal interaction molecule 1(STIM1)/transient receptor potential vanilloid subfamily member 1(TRPV1)pat...OBJECTIVE:To explore if Hewei Jiangni granule(和胃降逆颗粒,HWJNG)could regulate esophageal hypersensitivity via stromal interaction molecule 1(STIM1)/transient receptor potential vanilloid subfamily member 1(TRPV1)pathway.METHODS:Qualitative analysis of HWJNG was analysis by high performance of liquid and gas chromatography.In vivo,animal model of non-erosive reflux disease(NERD)was established by fructose intake and restraint stress.HWJNG and Omeprazole were administered by gavage to the drug intervention group.Reflux and visceral hypersensitivity were analyzed by pathological changes,PH value test,mechanical paw withdrawal threshold,thermal withdrawal latency and mast cells(MCs)degranulation.In vitro,substance P(SP)-induced P815 cells and dorsal root ganglion(DRG)cells were cocultured.Expression in both mice and cells of STIM1,TRPV1,and esophageal visceral hypersensitivity-related gastrointestinal neurochemicals were validated by enzyme linked immunosorbent assays,quantitative realtime polymerase chain reaction(qRT-PCR)and Western blot.Moreover,overexpression and small interfering RNA against STIM1 were utilized to verify of the role of HWJNG in DRG cells.RESULTS:HWJNG significantly suppressed intercellular space widening,injury of mitochondrial,MCs degranulation,mechanical allodynia and heat neuropathic sensory and increased pH value of esophageal mucosa in NERD mice.HWJNG inhibited expression of visceral hypersensitivityrelated gastrointestinal neurochemicals in esophageal mucosa and activated P815 cells,and expression of the STIM1,TRPV1 and related neurotransmitters in DRG and DRG cells.STIM1 siRNA and HWJNG both reduced P815 cells adhesion to DRGs cells and Ca2+flow into the cytoplasmic space of DRG cells.Furthermore,HWJNG could reversed STIM1 overexpression induced upregulation of TRPV1.CONCLUSION:HWJNG suppressed intercellular space widening in NERD mice,stabilized MCs and restored neuronal hyperexcitability by regulating visceral hypersensitivity via STIM1/TRPV1 pathway.展开更多
The rapid development of electricity retail market has prompted an increasing number of electricity consumers to sign green electricity contracts with retail electricity companies,which poses greater challenges for th...The rapid development of electricity retail market has prompted an increasing number of electricity consumers to sign green electricity contracts with retail electricity companies,which poses greater challenges for the market service for green energy consumers.This study proposed a two-stage feature extraction approach for green energy consumers leveraging clustering and termfrequency-inverse document frequency(TF-IDF)algorithms within a knowledge graph framework to provide an information basis that supports the green development of the retail electricity market.First,the multi-source heterogeneous data of green energy consumers under an actual market environment is systematically introduced and the information is categorized into discrete,interval,and relational features.A clustering algorithm was employed to extract features of the trading behavior of green energy consumers in the first stage using the parameter data of green retail electricity contracts.Then,TF-IDF algorithm was applied in the second stage to extract features for green energy consumers in different clusters.Finally,the effectiveness of the proposed approach was validated based on the actual operational data in a southern province of China.It is shown that the most significant discrepancy between the retail trading behaviors of green energy consumers is the power share of green retail packages,whose averaged values are 25.64%,50%,39.66%,and 24.89%in four different clusters,respectively.Additionally,power supply bureaus and electricity retail companies affects the behavior of the green energy consumers most significantly.展开更多
Given the scarcity of Satellite Frequency and Orbit(SFO)resources,it holds paramount importance to establish a comprehensive knowledge graph of SFO field(SFO-KG)and employ knowledge reasoning technology to automatical...Given the scarcity of Satellite Frequency and Orbit(SFO)resources,it holds paramount importance to establish a comprehensive knowledge graph of SFO field(SFO-KG)and employ knowledge reasoning technology to automatically mine available SFO resources.An essential aspect of constructing SFO-KG is the extraction of Chinese entity relations.Unfortunately,there is currently no publicly available Chinese SFO entity Relation Extraction(RE)dataset.Moreover,publicly available SFO text data contain numerous NA(representing for“No Answer”)relation category sentences that resemble other relation sentences and pose challenges in accurate classification,resulting in low recall and precision for the NA relation category in entity RE.Consequently,this issue adversely affects both the accuracy of constructing the knowledge graph and the efficiency of RE processes.To address these challenges,this paper proposes a method for extracting Chinese SFO text entity relations based on dynamic integrated learning.This method includes the construction of a manually annotated Chinese SFO entity RE dataset and a classifier combining features of SFO resource data.The proposed approach combines integrated learning and pre-training models,specifically utilizing Bidirectional Encoder Representation from Transformers(BERT).In addition,it incorporates one-class classification,attention mechanisms,and dynamic feedback mechanisms to improve the performance of the RE model.Experimental results show that the proposed method outperforms the traditional methods in terms of F1 value when extracting entity relations from both balanced and long-tailed datasets.展开更多
Information extraction(IE)aims to automatically identify and extract information about specific interests from raw texts.Despite the abundance of solutions based on fine-tuning pretrained language models,IE in the con...Information extraction(IE)aims to automatically identify and extract information about specific interests from raw texts.Despite the abundance of solutions based on fine-tuning pretrained language models,IE in the context of fewshot and zero-shot scenarios remains highly challenging due to the scarcity of training data.Large language models(LLMs),on the other hand,can generalize well to unseen tasks with few-shot demonstrations or even zero-shot instructions and have demonstrated impressive ability for a wide range of natural language understanding or generation tasks.Nevertheless,it is unclear,whether such effectiveness can be replicated in the task of IE,where the target tasks involve specialized schema and quite abstractive entity or relation concepts.In this paper,we first examine the validity of LLMs in executing IE tasks with an established prompting strategy and further propose multiple types of augmented prompting methods,including the structured fundamental prompt(SFP),the structured interactive reasoning prompt(SIRP),and the voting-enabled structured interactive reasoning prompt(VESIRP).The experimental results demonstrate that while directly promotes inferior performance,the proposed augmented prompt methods significantly improve the extraction accuracy,achieving comparable or even better performance(e.g.,zero-shot FewNERD,FewNERD-INTRA)than state-of-theart methods that require large-scale training samples.This study represents a systematic exploration of employing instruction-following LLM for the task of IE.It not only establishes a performance benchmark for this novel paradigm but,more importantly,validates a practical technical pathway through the proposed prompt enhancement method,offering a viable solution for efficient IE in low-resource settings.展开更多
Background:Ampelopsis grossedentata,vine tea,which is the tea alternative beverages in China.In vine tea processing,a large amount of broken tea is produced,which has low commercial value.Methods:This study investigat...Background:Ampelopsis grossedentata,vine tea,which is the tea alternative beverages in China.In vine tea processing,a large amount of broken tea is produced,which has low commercial value.Methods:This study investigates the influence of different extraction methods(room temperature water extraction,boiling water extraction,ultrasonic-assisted room temperature water extraction,and ultrasonic-assisted boiling water extraction,referred to as room temperature water extraction(RE),boiling water extraction(BE),ultrasonic assistance at room temperature water extraction(URE),and ultrasonic assistance in boiling water extraction(UBE))on the yield,dihydromyricetin(DMY)content,free amino acid composition,volatile aroma components,and antioxidant properties of vine tea extracts.Results:A notable influence of extraction temperature on the yield of vine tea extracts(P<0.05),with BE yielding the highest at 43.13±0.26%,higher than that of RE(34.29±0.81%).Ultrasound-assisted extraction significantly increased the DMY content of the extracts(P<0.05),whereas DMY content in the RE extracts was 59.94±1.70%,that of URE reached 66.14±2.78%.Analysis revealed 17 amino acids,with L-serine and aspartic acid being the most abundant in the extracts,nevertheless ultrasound-assisted extraction reduced total free amino acid content.Gas chromatography-mass spectrometry analysis demonstrated an increase in the diversity and quantity of compounds in the vine tea water extracts obtained through ultrasonic-assisted extraction.Specifically,69 and 68 volatile compounds were found in URE and UBE extracts,which were higher than the number found in RE and BE extracts.In vitro,antioxidant activity assessments revealed varying antioxidant capacities among different extraction methods,with RE exhibiting the highest DPPH scavenging rate,URE leading in ABTS•+free radical scavenging,and BE demonstrating superior ferric ion reducing antioxidant activity.Conclusion:The findings suggest that extraction methods significantly influence the chemical composition and antioxidant properties of vine tea extracts.Ultrasonic-assisted extraction proved instrumental in elevating the DMY content in vine tea extracts,thereby enriching its flavor profile while maintaining its antioxidant properties.展开更多
Bile reflux gastritis (BRG) is a gastro-intestinal condition especially characterized by the reflux of bile into the stomach, further leading to mucosal inflammation along with various other clinical manifestations. D...Bile reflux gastritis (BRG) is a gastro-intestinal condition especially characterized by the reflux of bile into the stomach, further leading to mucosal inflammation along with various other clinical manifestations. Despite its increasing recognition, BRG remains understudied, with limited understanding of its epidemiology, pathophysiology, and optimal therapeutic strategies. Present narrative review aimed to comprehensively examine the available literature on BRG, focusing on its prevalence, risk factors, pathophysiology, clinical presentation, diagnostic modalities, and available therapeutic strategies. A comprehensive literature search was conducted using PubMed, Embase, Google Scholar and Cochrane databases. Relevant studies were included based on predefined inclusion and exclusion criteria. A narrative synthesis was conducted to summarize and interpret the findings. The prevalence of BRG remains uncertain due to diagnostic challenges. Risk factors include impaired gastrointestinal motility, sphincteric dysfunction (pyloric sphincter and the lower oesophageal sphincter), biliary tract disease, and certain medications. The pathophysiology involves bile acid-induced mucosal injury, inflammation, and impaired gastric defence mechanisms. Clinical manifestations are often nonspecific. Diagnostic modalities primarily include endoscopy and bile acid reflux testing. Management strategies encompass lifestyle modifications, medical therapy, and in severe cases, surgery. BRG is a complex condition with significant clinical implications. Further research is needed to refine diagnostic criteria, elucidate pathophysiological mechanisms, and develop effective therapeutic interventions. Addressing knowledge gaps in epidemiology, risk factors, and long-term outcomes is crucial for improving patient care.展开更多
This study aimed to investigate the effect of ultrasound-assisted alkaline extraction(UAE)(at 20 kHz and different powers of 0,200,300,400,500 and 600 W for 10 min)on the yield,structure and emulsifying properties of ...This study aimed to investigate the effect of ultrasound-assisted alkaline extraction(UAE)(at 20 kHz and different powers of 0,200,300,400,500 and 600 W for 10 min)on the yield,structure and emulsifying properties of chickpea protein isolate(CPI).Compared with the non-ultrasound group,ultrasound treatment at 400 W resulted in the largest increase in CPI yield,and both the particle size and turbidity decreased with increasing ultrasound power from 0 to 400 W.The scanning electron microscope results showed a uniform structural distribution of CPI.Moreover,itsα-helix content increased,β-sheet content decreased,and total sulfhydryl group content and endogenous fluorescence intensity rose,illustrating that UAE changed the secondary and tertiary structure of CPI.At 400 W,the solubility of the emulsion increased to 63.18%,and the best emulsifying properties were obtained;the emulsifying activity index(EAI)and emulsifying stability index(ESI)increased by 85.42%and 46.78%,respectively.Furthermore,the emulsion droplets formed were smaller and more uniform.In conclusion,proper UAE power conditions increased the extraction yield and protein content of CPI,and effectively improved its structure and emulsifying characteristics.展开更多
文摘BACKGROUND Despite societal guidelines recommending targeted screening for Barrett’s esophagus(BE)and esophageal adenocarcinoma(EAC)in individuals with gastroesophageal reflux symptoms(GERS),screening adherence is suboptimal.Current screening approaches fail to identify individuals not seeking medical consultation for GERS or whose GERS are managed with‘over-the-counter’(OTC)acid suppressant therapies.AIM To assess patients’self-management and help-seeking behavior for GERS.METHODS This cross-sectional study collected data from the Dutch general population aged 18-75 years between January and April 2023 using a web-based survey.The survey included questions regarding self-management(e.g.,use of acid suppressant therapy with or without prescription)and help-seeking behavior(e.g.,consulting a primary care provider)for GERS.Simple random sampling was performed to select individuals within the target age group.In total,18156 randomly selected individuals were invited to participate.The study protocol was registered in ClinicalTrials.gov(identifier:NCT05689918).RESULTS Of the 18156 invited individuals,3214 participants(17.7%)completed the survey,of which 1572 participants(48.9%)reported GERS.Of these,904 participants(57.5%)had never consulted a primary care provider for these symptoms,of which 331 participants(36.6%)reported taking OTC acid suppressant therapy in the past six months and 100 participants(11.1%)fulfilled the screening criteria for BE and EAC according to the European Society of Gastrointestinal Endoscopy Guideline.CONCLUSION The population fulfilling the screening criteria for BE and EAC is incompletely identified,suggesting potential underutilization of medical consultation.Raising public awareness of GERS as a risk factor for EAC is needed.
基金Supported by the National Key Specialty of Traditional Chinese Medicine(Spleen and Stomach Diseases),No.0500004National Natural Science Foundation of China,No.82205104 and No.82104850+1 种基金Hospital Capability Enhancement Project of Xiyuan Hospital,CACMS,No.XYZX0303-07the Fundamental Research Funds for the Central Public Welfare Research Institutes,Excellent Young Scientists Training Program of China Academy of Chinese Medical Sciences,No.ZZ16-YQ-002.
文摘BACKGROUND Non-erosive reflux disease(NERD),the main gastroesophageal reflux subtype,features reflux symptoms without mucosal damage.Anxiety links to visceral hypersensitivity in NERD,yet mechanisms and animal models are unclear.AIM To establish a translational NERD rat model with anxiety comorbidity via tail clamping and study corticotropin-releasing hormone(CRH)-mediated neuroimmune pathways in visceral hypersensitivity and esophageal injury.METHODS Sprague-Dawley(SD)and Wistar rats were grouped into sham,model,and modified groups(n=10 each).The treatments for the modified groups were as follows:SD rats received ovalbumin/aluminum hydroxide suspension+acid perfusion±tail clamping(40 minutes/day for 7 days),while Wistar rats received fructose water+tail clamping.Esophageal pathology,visceral sensitivity,and behavior were assessed.Serum CRH,calcitonin gene-related peptide(CGRP),5-hydroxytryptamine(5-HT),and mast cell tryptase(MCT)and central amygdala(CeA)CRH mRNA were measured via ELISA and qRT-PCR.RESULTS Tail clamping induced anxiety,worsening visceral hypersensitivity(lower abdominal withdrawal reflex thresholds,P<0.05)and esophageal injury(dilated intercellular spaces and mitochondrial edema).Both models showed raised serum CRH,CGRP,5-HT,and MCT(P<0.01)and CeA CRH mRNA expression(P<0.01).Behavioral tests confirmed anxiety-like phenotypes.NERD-anxiety rats showed clinical-like symptom severity without erosion.CONCLUSION Tail clamping induces anxiety in NERD models,worsening visceral hypersensitivity via CRH neuroimmune dysregulation,offering a translational model and highlighting CRH as a treatment target.
文摘Since Google introduced the concept of Knowledge Graphs(KGs)in 2012,their construction technologies have evolved into a comprehensive methodological framework encompassing knowledge acquisition,extraction,representation,modeling,fusion,computation,and storage.Within this framework,knowledge extraction,as the core component,directly determines KG quality.In military domains,traditional manual curation models face efficiency constraints due to data fragmentation,complex knowledge architectures,and confidentiality protocols.Meanwhile,crowdsourced ontology construction approaches from general domains prove non-transferable,while human-crafted ontologies struggle with generalization deficiencies.To address these challenges,this study proposes an OntologyAware LLM Methodology for Military Domain Knowledge Extraction(LLM-KE).This approach leverages the deep semantic comprehension capabilities of Large Language Models(LLMs)to simulate human experts’cognitive processes in crowdsourced ontology construction,enabling automated extraction of military textual knowledge.It concurrently enhances knowledge processing efficiency and improves KG completeness.Empirical analysis demonstrates that this method effectively resolves scalability and dynamic adaptation challenges in military KG construction,establishing a novel technological pathway for advancing military intelligence development.
文摘AIM:To investigate the long-term outcomes in acute primary angle closure(APAC)patients treated with lens extraction(LE)surgery and to identify risk factors for glaucomatous optic neuropathy(GON).METHODS:In this longitudinal observational study,detailed medical histories of APAC patients and comprehensive ophthalmic examinations at final followup were collected.Logistic regression analysis was performed to identify predictors of blindness.Univariate and multivariate linear regression analyses were conducted to determine risk factors associated with visual outcomes.RESULTS:This study included 39 affected eyes of 31 subjects(26 females)with an average age of 74.1±8.0y.At 6.7±4.2y after APAC attack,2(5.7%)eyes had bestcorrected visual acuity(VA)worse than 3/60.Advanced glaucomatous visual field loss was observed in 15(39.5%)affected eyes and 5(25.0%)fellow eyes.Nine affected eyes(23.7%)had GON,and 11(28.9%)were blind.Six(15.4%)affected eyes and 2(9.1%)fellow eyes had suspicious progression.A significantly higher blindness rate in factory workers compared to office workers.Logistic regression identified that worse VA at attack(OR 10.568,95%CI 1.288-86.695;P=0.028)and worse early postoperative VA(OR 13.214,95%CI 1.157-150.881;P=0.038)were risk factors for blindness.Multivariate regression showed that longer duration of elevated intraocular pressure(P=0.004)and worse early postoperative VA(P=0.009)were associated with worse visual outcomes.CONCLUSION:Despite LE surgery,some APAC patients experience continued visual function deterioration.Lifelong monitoring is necessary.Target pressure and progression rates should be re-evaluated during follow-up.
基金Supported by the Universidad Autonoma de Coahuila and the Consejo Nacional de Ciencia y Tecnologia(CONACYT).Grant number:COAH-2010C13-147563
文摘Objective:To extract,quantify,and evaluate the phenolic content in Opuntia ficus-indica skin for their antioxidant capacity with three different methods(ABTS,DPPH,and lipid oxidation)and to optimize the extraction conditions[time,temperature and ethanol concentration)in a reflux system.Methods:The extraction process was done using a reflux system.A San CristobalⅡexperimental design with three variables and three levels was used.The variables evaluated were time of extraction(h),concentration of ethanol(%,v/v)and temperature(°C).The extraction process was optimized using a response surface methodology.Results:It was observed that at higher temperature more phenolic compounds were extracted,but the antioxidant capacity was decreased.The optimum conditions for phenolic compounds extraction and antioxidant capacity mixing the three methods were as Follows:45%of ethanol,80℃and 2 hours of extraction.Values obtained in our results are little higher that other previously reported.Conclusions:It can he concluded the by-products of Opuntia ficus-indica represent a good source of natural antioxidants with possible applications in food,cosmetics or drugs industries.
文摘The extraction technology of phenolic acid compounds from Salvia miltiorrhiza by ethanol reflux was studied. In this experiment, salvianolic acid B standard was used to make the standard curve. Single factor experiment and orthogonal experiment were used to study the extraction of different ethanol concentrations, reflux times and material-to-liquid ratios. The OD value of salvianolic acid compounds was measured with a spectrophotometer. The extraction rate of phenolic acid compounds under different extraction conditions was calculated through a regression equation, so as to obtain the optimal conditions for the ethanol reflux extraction process of Salvia miltiorrhiza. The experimental data can provide a reference for the ethanol reflux extraction process of salvianolic acids in the industry. According to the experiment, the extraction rate of phenolic acids in Salvia miltiorrhiza was the highest when the ethanol concentration was 60%, the reflux time was 1.5 hours, and the ratio of material-to-liquid was 1:10.
基金Funded by National Eleventh Five-Year Plan Technology Support Program of China(2007BAE42B04)the Open Project of State Key Laboratory Cultivation Base for Nonmetal Composites,Functional Materials of Sichuan Province(10zxfk23)+1 种基金Scientific Research Project of Sichuan Normal University(11KYL06)Key Fund Project of Sichuan Provincial Department of Education(14ZA0027)
文摘An efficient reflux extraction of polyethylene wax(PEW) in soil is presented, followed by molecular structure characterization methods to explore its degradation mechanism. To more realistically simulate the actual degradation of PE film powders in soil, low density PE(M=5 000) powders, being used as simulated PEW residue sample, were uniformly mixed with soil and then recovered by reflux extraction with decahydronaphthalen(decalin) at 90 ?C for 60 min. The average recovery of PEW from fortified soils was 96.5% with the developed reflux extraction procedure. The recovered PEW residue samples were characterized by infrared spectroscopy(IR), element analysis(EA), X-ray fluorescence(XFR), and high-temperature gel permeation chromatography(GPC). The results from spectra analysis show that there were no significant changes in molecular structures and molecular mass distribution of PEW samples after the reflux extraction, which demonstrate the reliability of this method. These results also indicate that the reflux extraction procedure and analytical methods of characterization could serve as a novel measurement technique to evaluate the degradation of low-density PE powders in soil over time.
基金Supported by Hunan Provincial University Innovation Platform Open Fund Project(19K049)。
文摘With Pueraria edulis from different habitats in Yunnan Province,Guangdong Province and Guangxi Zhuang autonomous region as materials,the medicinal materials of P.edulis were extracted by ethanol condensation reflux extraction and ultrasound-assisted extraction,and the effects of different extraction methods the contents of total flavonoids in P.edulis from different areas were compared.The results showed that the best extraction time for P.edulis in Yunnan Province was 20 min,and that for Guangdong and Guangxi Zhuang Autonomous Region was 30 min.The yield of total flavonoids from P.edulis extracted by the condensation reflux extraction method was relatively better.The content of total flavonoids in P.edulis in Yunnan was the highest with an average content of 0.2557%,while the average content of total flavonoids in P.edulis in Guangdong was the lowest with an average content of 0.2108%.
文摘Gastroesophageal reflux disease(GERD)affects both adults and children,although the symptoms differ significantly between these groups.While adults typically experience heartburn and regurgitation,children may present with more subtle signs,such as failure to thrive,chronic cough,wheezing,and Sandifer syn-drome.Diagnosing GERD in children necessitates a multifaceted approach due to the diverse symptomatology and challenges in communication.Clinical assess-ment serves as the cornerstone of diagnosis,supported by tools like pH moni-toring,esophageal impedance testing,and upper gastrointestinal endoscopy.Imaging studies,such as barium swallow,can also provide valuable insights into anatomical abnormalities and the extent of reflux.Treatment strategies for pe-diatric GERD include lifestyle adjustments,pharmacotherapy,and,in severe cases,surgical interventions.Lifestyle adjustments may involve changes in fee-ding patterns,positional therapy,and weight management.Pharmacological options range from acid suppression with proton pump inhibitors or histamine-2 receptor antagonists to surgical procedures like fundoplication for refractory cases.Personalized management is essential,considering the child’s age,sym-ptom severity,and the presence of complications.This article aims to offer a comprehensive understanding of pediatric GERD by utilizing current research to enhance clinical approaches and improve patient outcomes.
文摘In the international shipping industry, digital intelligence transformation has become essential, with both governments and enterprises actively working to integrate diverse datasets. The domain of maritime and shipping is characterized by a vast array of document types, filled with complex, large-scale, and often chaotic knowledge and relationships. Effectively managing these documents is crucial for developing a Large Language Model (LLM) in the maritime domain, enabling practitioners to access and leverage valuable information. A Knowledge Graph (KG) offers a state-of-the-art solution for enhancing knowledge retrieval, providing more accurate responses and enabling context-aware reasoning. This paper presents a framework for utilizing maritime and shipping documents to construct a knowledge graph using GraphRAG, a hybrid tool combining graph-based retrieval and generation capabilities. The extraction of entities and relationships from these documents and the KG construction process are detailed. Furthermore, the KG is integrated with an LLM to develop a Q&A system, demonstrating that the system significantly improves answer accuracy compared to traditional LLMs. Additionally, the KG construction process is up to 50% faster than conventional LLM-based approaches, underscoring the efficiency of our method. This study provides a promising approach to digital intelligence in shipping, advancing knowledge accessibility and decision-making.
基金Project supported by the National Natural Science Foundation of China(52074031)the Key Research and Development Program of Shandong Province(ZR2021MB051,ZR2020ME256)the Open Project of Key Laboratory of Green Chemical Engineering Process of Ministry of Education(GCP202117)。
文摘Solvent extraction is the main method used to separate and purify rare earth elements.In the process of rare earths extraction,emulsification often generated due to the instability of the aqueous and organic phases or improper operating conditions.Once emulsification occurs,it would not only lead to low rare earths recovery efficiency,small product quantities,high production costs and the losing of extractant and rare earth resources,but also result in serious environmental pollution.Therefore,it is very important to study the micro-mechanisms of emulsification and establish new methods to prevent emulsification at the source.In this paper,possible factors resulting in emulsification,such as the compositions and properties of the organic and aqueous phases,the operating conditions of the rare earths extraction are reviewed.The micro-mechanisms of emulsification are summarized basing on the microscopic structures in the bulk phase,aggregations of the extractants at the organic-aqueous interface,spectral characterizations and computational simulations.On this basis,new formation mechanisms are proposed for emulsification.Preliminary explorations are employed to verify the correctness of these new viewpoints.Finally,future directions for studies of the emulsification micro-mechanism are proposed.This study provides a theoretical basis for further understanding the micro-mechanisms of interfacial instability resulting in emulsification in the process of rare earths extraction.
文摘Gastroesophageal reflux disease(GERD)poses a substantial global health challenge,with prevalence rates exhibiting geographical variation.Despite its widespread recognition,the exact prevalence and associated risk factors remain elusive.This article comprehensively analyzed the global burden of GERD,shedding light on its risk factors,underlying pathophysiological mechanisms,current diagnostic modalities,evolving management strategies tailored to diverse patient profiles,and complex determinants contributing to treatment failures.A deeper comprehension of GERD is achieved by dissecting these intricate facets,paving the way for enhanced clinical management and improved patient outcomes.
基金Supported by Fundamental Research Funds for the Central Universities:Research on the Mechanism of Hewei Jiangni Recipe on Nonerosive Gastroesophageal Reflux Based on the Correlation Analysis of Gut Microbiota and Metabolites (No. 2020-JYB-ZDGG-128)National Natural Science Foundation of China:Exploring the Molecular Mechanism of "Hewei Jiangni Fang" Intervention in Nonerosive Reflux Disease Esophageal Hypersensitivity from the Perspective of Mas-related Gene X2/Stromal Interaction Molecule 1/Cell Adhesion Molecule 1 Pathway Regulation of Mast Cell/Dorsal Root Ganglion Communication Based on the "Xinkai-Kujiang" Method (No. 82374401)
文摘OBJECTIVE:To evaluate the safety and efficacy of Hewei Jiangni recipe(和胃降逆方,HWJNR)for treating nonerosive gastroesophageal reflux(NERD)with cold-heat complex syndrome and to clarify its mechanism based on correlation analyses of intestinal flora and metabolites.METHODS:Seventy-two patients with NERD and the Traditional Chinese Medicine(TCM)syndrome of intermingled heat and cold were randomly assigned to either the TCM group or the Western Medicine group,each receiving 8 weeks of treatment.The primary outcome was the score of the gastroesophageal reflux disease questionnaire(GERD-Q).Additionally,10 healthy individuals were recruited.Mechanistic outcomes included correlation analyses of intestinal flora and metabolites in healthy individuals and NERD participants before and after treatment.RESULTS:After 8 weeks,the effectiveness rate was 90%in the TCM group and 86.67%in the Western Medicine group(P>0.05).Compared with omeprazole,the TCM group significantly improved quality of life and alleviated symptoms such as loss of appetite,fatigue,bowel sounds,and coldness in the hands and feet(P<0.05).Dysregulation of intestinal flora and metabolic pathways in NERD patients was restored to balance after TCM treatment,which appeared related to the TCM regulation of"cold and heat disorders."CONCLUSION:HWJNR was clinically as effective as omeprazole and demonstrated advantages in improving quality of life.
基金National Natural Science Foundation of China:Study on the Molecular Mechanism of the Regulation of Crypt Goblet Cell Pyroptosis and Exocytosis to Repair Ulcerative Colitis Mucus Barrier by the Method of Clearing and Opening the Xuanfu from the Perspective of"Xuanfu-Crypt"(No.82305143),and National Natural Science Foundation of China:Exploring the Molecular Mechanism of"Hewei Jiangni Fang"Intervention in Non-erosive Reflux Disease Esophageal Hypersensitivity from the Perspective of Mas-related Gene X2/Stromal Interaction Molecule 1/Cell Adhesion Molecule 1 Pathway Regulation of Mast Cell/Dorsal Root Ganglion Communication based on the"Xinkai-Kujiang"Method(No.82374401)。
文摘OBJECTIVE:To explore if Hewei Jiangni granule(和胃降逆颗粒,HWJNG)could regulate esophageal hypersensitivity via stromal interaction molecule 1(STIM1)/transient receptor potential vanilloid subfamily member 1(TRPV1)pathway.METHODS:Qualitative analysis of HWJNG was analysis by high performance of liquid and gas chromatography.In vivo,animal model of non-erosive reflux disease(NERD)was established by fructose intake and restraint stress.HWJNG and Omeprazole were administered by gavage to the drug intervention group.Reflux and visceral hypersensitivity were analyzed by pathological changes,PH value test,mechanical paw withdrawal threshold,thermal withdrawal latency and mast cells(MCs)degranulation.In vitro,substance P(SP)-induced P815 cells and dorsal root ganglion(DRG)cells were cocultured.Expression in both mice and cells of STIM1,TRPV1,and esophageal visceral hypersensitivity-related gastrointestinal neurochemicals were validated by enzyme linked immunosorbent assays,quantitative realtime polymerase chain reaction(qRT-PCR)and Western blot.Moreover,overexpression and small interfering RNA against STIM1 were utilized to verify of the role of HWJNG in DRG cells.RESULTS:HWJNG significantly suppressed intercellular space widening,injury of mitochondrial,MCs degranulation,mechanical allodynia and heat neuropathic sensory and increased pH value of esophageal mucosa in NERD mice.HWJNG inhibited expression of visceral hypersensitivityrelated gastrointestinal neurochemicals in esophageal mucosa and activated P815 cells,and expression of the STIM1,TRPV1 and related neurotransmitters in DRG and DRG cells.STIM1 siRNA and HWJNG both reduced P815 cells adhesion to DRGs cells and Ca2+flow into the cytoplasmic space of DRG cells.Furthermore,HWJNG could reversed STIM1 overexpression induced upregulation of TRPV1.CONCLUSION:HWJNG suppressed intercellular space widening in NERD mice,stabilized MCs and restored neuronal hyperexcitability by regulating visceral hypersensitivity via STIM1/TRPV1 pathway.
基金support by the Science and Technology Project of Guangdong Power Exchange Center Co.,Ltd.(No.GDKJXM20222599)National Natural Science Foundation of China(No.52207104)Natural Science Foundation of Guangdong Province(No.2024A1515010426).
文摘The rapid development of electricity retail market has prompted an increasing number of electricity consumers to sign green electricity contracts with retail electricity companies,which poses greater challenges for the market service for green energy consumers.This study proposed a two-stage feature extraction approach for green energy consumers leveraging clustering and termfrequency-inverse document frequency(TF-IDF)algorithms within a knowledge graph framework to provide an information basis that supports the green development of the retail electricity market.First,the multi-source heterogeneous data of green energy consumers under an actual market environment is systematically introduced and the information is categorized into discrete,interval,and relational features.A clustering algorithm was employed to extract features of the trading behavior of green energy consumers in the first stage using the parameter data of green retail electricity contracts.Then,TF-IDF algorithm was applied in the second stage to extract features for green energy consumers in different clusters.Finally,the effectiveness of the proposed approach was validated based on the actual operational data in a southern province of China.It is shown that the most significant discrepancy between the retail trading behaviors of green energy consumers is the power share of green retail packages,whose averaged values are 25.64%,50%,39.66%,and 24.89%in four different clusters,respectively.Additionally,power supply bureaus and electricity retail companies affects the behavior of the green energy consumers most significantly.
文摘Given the scarcity of Satellite Frequency and Orbit(SFO)resources,it holds paramount importance to establish a comprehensive knowledge graph of SFO field(SFO-KG)and employ knowledge reasoning technology to automatically mine available SFO resources.An essential aspect of constructing SFO-KG is the extraction of Chinese entity relations.Unfortunately,there is currently no publicly available Chinese SFO entity Relation Extraction(RE)dataset.Moreover,publicly available SFO text data contain numerous NA(representing for“No Answer”)relation category sentences that resemble other relation sentences and pose challenges in accurate classification,resulting in low recall and precision for the NA relation category in entity RE.Consequently,this issue adversely affects both the accuracy of constructing the knowledge graph and the efficiency of RE processes.To address these challenges,this paper proposes a method for extracting Chinese SFO text entity relations based on dynamic integrated learning.This method includes the construction of a manually annotated Chinese SFO entity RE dataset and a classifier combining features of SFO resource data.The proposed approach combines integrated learning and pre-training models,specifically utilizing Bidirectional Encoder Representation from Transformers(BERT).In addition,it incorporates one-class classification,attention mechanisms,and dynamic feedback mechanisms to improve the performance of the RE model.Experimental results show that the proposed method outperforms the traditional methods in terms of F1 value when extracting entity relations from both balanced and long-tailed datasets.
基金supported by the National Natural Science Foundation of China(62222212).
文摘Information extraction(IE)aims to automatically identify and extract information about specific interests from raw texts.Despite the abundance of solutions based on fine-tuning pretrained language models,IE in the context of fewshot and zero-shot scenarios remains highly challenging due to the scarcity of training data.Large language models(LLMs),on the other hand,can generalize well to unseen tasks with few-shot demonstrations or even zero-shot instructions and have demonstrated impressive ability for a wide range of natural language understanding or generation tasks.Nevertheless,it is unclear,whether such effectiveness can be replicated in the task of IE,where the target tasks involve specialized schema and quite abstractive entity or relation concepts.In this paper,we first examine the validity of LLMs in executing IE tasks with an established prompting strategy and further propose multiple types of augmented prompting methods,including the structured fundamental prompt(SFP),the structured interactive reasoning prompt(SIRP),and the voting-enabled structured interactive reasoning prompt(VESIRP).The experimental results demonstrate that while directly promotes inferior performance,the proposed augmented prompt methods significantly improve the extraction accuracy,achieving comparable or even better performance(e.g.,zero-shot FewNERD,FewNERD-INTRA)than state-of-theart methods that require large-scale training samples.This study represents a systematic exploration of employing instruction-following LLM for the task of IE.It not only establishes a performance benchmark for this novel paradigm but,more importantly,validates a practical technical pathway through the proposed prompt enhancement method,offering a viable solution for efficient IE in low-resource settings.
基金supported by the Key Research and Development Program of Hunan Province of China(No.2022NK2036)Xiangxi Prefecture Science and Technology Plan Project"School-Local Integration"Special Project(No.2022001)the scientific research project of Hunan Provincial Department of Education(No.22B0520).
文摘Background:Ampelopsis grossedentata,vine tea,which is the tea alternative beverages in China.In vine tea processing,a large amount of broken tea is produced,which has low commercial value.Methods:This study investigates the influence of different extraction methods(room temperature water extraction,boiling water extraction,ultrasonic-assisted room temperature water extraction,and ultrasonic-assisted boiling water extraction,referred to as room temperature water extraction(RE),boiling water extraction(BE),ultrasonic assistance at room temperature water extraction(URE),and ultrasonic assistance in boiling water extraction(UBE))on the yield,dihydromyricetin(DMY)content,free amino acid composition,volatile aroma components,and antioxidant properties of vine tea extracts.Results:A notable influence of extraction temperature on the yield of vine tea extracts(P<0.05),with BE yielding the highest at 43.13±0.26%,higher than that of RE(34.29±0.81%).Ultrasound-assisted extraction significantly increased the DMY content of the extracts(P<0.05),whereas DMY content in the RE extracts was 59.94±1.70%,that of URE reached 66.14±2.78%.Analysis revealed 17 amino acids,with L-serine and aspartic acid being the most abundant in the extracts,nevertheless ultrasound-assisted extraction reduced total free amino acid content.Gas chromatography-mass spectrometry analysis demonstrated an increase in the diversity and quantity of compounds in the vine tea water extracts obtained through ultrasonic-assisted extraction.Specifically,69 and 68 volatile compounds were found in URE and UBE extracts,which were higher than the number found in RE and BE extracts.In vitro,antioxidant activity assessments revealed varying antioxidant capacities among different extraction methods,with RE exhibiting the highest DPPH scavenging rate,URE leading in ABTS•+free radical scavenging,and BE demonstrating superior ferric ion reducing antioxidant activity.Conclusion:The findings suggest that extraction methods significantly influence the chemical composition and antioxidant properties of vine tea extracts.Ultrasonic-assisted extraction proved instrumental in elevating the DMY content in vine tea extracts,thereby enriching its flavor profile while maintaining its antioxidant properties.
文摘Bile reflux gastritis (BRG) is a gastro-intestinal condition especially characterized by the reflux of bile into the stomach, further leading to mucosal inflammation along with various other clinical manifestations. Despite its increasing recognition, BRG remains understudied, with limited understanding of its epidemiology, pathophysiology, and optimal therapeutic strategies. Present narrative review aimed to comprehensively examine the available literature on BRG, focusing on its prevalence, risk factors, pathophysiology, clinical presentation, diagnostic modalities, and available therapeutic strategies. A comprehensive literature search was conducted using PubMed, Embase, Google Scholar and Cochrane databases. Relevant studies were included based on predefined inclusion and exclusion criteria. A narrative synthesis was conducted to summarize and interpret the findings. The prevalence of BRG remains uncertain due to diagnostic challenges. Risk factors include impaired gastrointestinal motility, sphincteric dysfunction (pyloric sphincter and the lower oesophageal sphincter), biliary tract disease, and certain medications. The pathophysiology involves bile acid-induced mucosal injury, inflammation, and impaired gastric defence mechanisms. Clinical manifestations are often nonspecific. Diagnostic modalities primarily include endoscopy and bile acid reflux testing. Management strategies encompass lifestyle modifications, medical therapy, and in severe cases, surgery. BRG is a complex condition with significant clinical implications. Further research is needed to refine diagnostic criteria, elucidate pathophysiological mechanisms, and develop effective therapeutic interventions. Addressing knowledge gaps in epidemiology, risk factors, and long-term outcomes is crucial for improving patient care.
文摘This study aimed to investigate the effect of ultrasound-assisted alkaline extraction(UAE)(at 20 kHz and different powers of 0,200,300,400,500 and 600 W for 10 min)on the yield,structure and emulsifying properties of chickpea protein isolate(CPI).Compared with the non-ultrasound group,ultrasound treatment at 400 W resulted in the largest increase in CPI yield,and both the particle size and turbidity decreased with increasing ultrasound power from 0 to 400 W.The scanning electron microscope results showed a uniform structural distribution of CPI.Moreover,itsα-helix content increased,β-sheet content decreased,and total sulfhydryl group content and endogenous fluorescence intensity rose,illustrating that UAE changed the secondary and tertiary structure of CPI.At 400 W,the solubility of the emulsion increased to 63.18%,and the best emulsifying properties were obtained;the emulsifying activity index(EAI)and emulsifying stability index(ESI)increased by 85.42%and 46.78%,respectively.Furthermore,the emulsion droplets formed were smaller and more uniform.In conclusion,proper UAE power conditions increased the extraction yield and protein content of CPI,and effectively improved its structure and emulsifying characteristics.
