In this study,thyme essential oil(TEO)nanoemulsion(tPTNs)was constructed with transglutaminase(TGase)-modified potato protein,and its antibacterial activity and mechanism of action were evaluated and explored.Results ...In this study,thyme essential oil(TEO)nanoemulsion(tPTNs)was constructed with transglutaminase(TGase)-modified potato protein,and its antibacterial activity and mechanism of action were evaluated and explored.Results indicated that tPTNs exhibited great antibacterial activity against both Staphylococcus aureus and Escherichia coli,with minimal inhibitory concentration(MIC)and minimum bactericidal concentration(MBC)of 2.5 and 5.0 mg/mL,respectively.Also,the antibacterial effects of tPTNs were concentration-dependent.We observed a significant decrease in the absolute value of the zeta potential,and significant increases in particle size,cell membrane hydrophobicity,conductivity,the release of metal ions,and the leakage of nucleic acid as the concentration of tPTNs increased from 0 mg/mL to MBC.Furthermore,sodium dodecyl sulphate-polyacrylamide gel electrophoresis(SDS-PAGE)demonstrated that protein synthesis was inhibited or even disrupted.Analysis by liquid chromatography-mass spectrometry(LC-MS)indicated that treatment with tPTNs caused significant changes in bacterial metabolites,1117 and 692 differential metabolites being found for S.aureus and E.coli,respectively.The differential metabolites were involved in nucleotide metabolism,amino acid metabolism,tricarboxylic acid cycle and other metabolic pathways.These findings provide valuable insights for the application of thyme essential oil as an efficient antibacterial agent and for the understanding of its mechanism of action.展开更多
Attribute-Based Encryption(ABE)has emerged as a fundamental access control mechanism in data sharing,enabling data owners to define flexible access policies.A critical aspect of ABE is key revocation,which plays a piv...Attribute-Based Encryption(ABE)has emerged as a fundamental access control mechanism in data sharing,enabling data owners to define flexible access policies.A critical aspect of ABE is key revocation,which plays a pivotal role in maintaining security.However,existing key revocation mechanisms face two major challenges:(1)High overhead due to ciphertext and key updates,primarily stemming from the reliance on revocation lists during attribute revocation,which increases computation and communication costs.(2)Limited universality,as many attribute revocation mechanisms are tailored to specific ABE constructions,restricting their broader applicability.To address these challenges,we propose LUAR(Lightweight and Universal Attribute Revocation),a novel revocation mechanism that leverages Intel Software Guard Extensions(SGX)while minimizing its inherent limitations.Given SGX’s constrained memory(≈90 MB in a personal computer)and susceptibility to side-channel attacks,we carefully manage its usage to reduce reliance while mitigating potential collusion risks between cloud service providers and users.To evaluate LUAR’s lightweight and universality,we integrate it with the classic BSW07 scheme,which can be seamlessly replaced with other ABE constructions.Experimental results demonstrate that LUAR enables secure attribute revocation with low computation and communication overhead.The processing time within the SGX environment remains stable at approximately 55 ms,regardless of the complexity of access policies,ensuring no additional storage or computational burden on SGX.Compared to the Hardware-based Revocable Attribute-Based Encryption(HR-ABE)scheme(IEEE S&P 2024),LUAR incurs a slightly higher computational cost within SGX;however,the overall time from initiating a data request to obtaining plaintext is shorter.As access policies grow more complex,LUAR’s advantages become increasingly evident,showcasing its superior efficiency and broader applicability.展开更多
Vitamin D deficiency(VDD)represents a significant nutritional concern among children and adolescents.The estimated prevalence of VDD in China is 46.8%in this population^([1]).VDD during childhood and adolescence has b...Vitamin D deficiency(VDD)represents a significant nutritional concern among children and adolescents.The estimated prevalence of VDD in China is 46.8%in this population^([1]).VDD during childhood and adolescence has been associated with the onset of various conditions,including acute respiratory infections,asthma,atopic dermatitis,and food allergies^([2]).Multiple factors,including age,sun exposure,adiposity,and genetics,influence vitamin D levels^([2,3]).Increasing attention has been directed toward understanding the environmental determinants that may influence vitamin D status.Given the potential of metallic pollutants to disrupt endocrine function and their ubiquity in the environment,investigating the effects of metal exposure on human vitamin D status,particularly in vulnerable populations,is imperative.展开更多
Drought,as the most catastrophic abiotic stress,poses a significant threat to the growth and development of plants.Among the mechanisms employed by plants to cope with drought-induced stress,abscisic acid(ABA)which is...Drought,as the most catastrophic abiotic stress,poses a significant threat to the growth and development of plants.Among the mechanisms employed by plants to cope with drought-induced stress,abscisic acid(ABA)which is the sesquiterpene hormone,occupies a pivotal role.A hypothesis has emerged that the exogenous application of ABA can positively influence the terpenoid content of Lavandula angustifolia cv Hidcote essential oil(EO),thereby conferring enhanced resilience to drought stress.A randomized complete block design experiment was conducted with three replicationsandfour irrigation regimes,including I4[30%-40%of field capacity(FC)],I3(50%-60%FC),I2(70%-80%FC),andI1(90%-100%FC)as control.Application of ABAspraying included three concentrations,A3(30μmol·L^(-1)ABA),A2(15μmol·L^(-1)ABA),and A1 as control(distilled water).Results revealed that drought significantly affected all studied traits except for relative water content(RWC)and shoot dry mass.The ABA impact application on the observed traits was found to be dependent upon the level of drought to which the plants were exposed.Specifically,the highest levels of flavonoid content,total antioxidant activity,peroxidase(POX)activity,and EO percentage were observed under I4A2 conditions.Conversely,the highest levels of superoxide dismutase(SOD)and catalase(CAT)activity,and proline were recorded under I4A3 conditions,while the highest EO yield was obtained under I3A2 conditions.Analysis of the EO revealed that there were common indicative compounds across the varying levels of droughtandABAapplication,including linalool,camphor,borneol,bornyl formate,andcaryophyllene oxide.Theproduction pattern ofmonoterpene and sesquiterpene compounds demonstrated a distinct trend,with the highest concentration of monoterpene hydrocarbon compounds(average of 12.92%)being observed in the I2A3 treatment group,andthe highest concentration of oxygenatedmonoterpenecompounds(average of 64.76%)being recorded in the I1A1 group.Conversely,the most significant levels of sesquiterpene hydrocarboncompounds(14.98%)andoxygenated sesquiterpene compounds(10.46%)were observed in the I4A3 and I4A1 groups,respectively,showing the efficacy of monoterpenes and sesquiterpenes from the action of ABA under drought conditions.The observed results indicated that the concentration of oxygenated monoterpene compounds decreases with an increase in drought level.Conversely,the application of ABA at any given drought level appears to resulted in increased concentrations of oxygenated monoterpene compounds in the same conditions.It may be concluded that plants under high-stress drought conditions allocate more terpene precursors to the production of sesquiterpene hydrocarbon compounds,aided by ABA with the same properties.展开更多
Sustained and spatially explicit monitoring of the United Nations 2030 Agenda for Sustainable Development is critical for effectively tracking progress toward the global Sustainable Development Goals(SDGs).Although la...Sustained and spatially explicit monitoring of the United Nations 2030 Agenda for Sustainable Development is critical for effectively tracking progress toward the global Sustainable Development Goals(SDGs).Although land cover information has long been recognized as an essential component for monitoring SDGs,a standardized scientific framework for identifying and prioritizing land cover related essential variables does not exist.Therefore,we propose a novel expert-and data-driven framework for identifying,refining,and selecting a priority list of Essential Land cover-related Variables for SDGs(ELcV4SDGs).This framework integrates methods including expert knowledge-based analysis,clustering of variables with similar attributes,and quantified index calculation to establish the priority list.Applying the framework to 15 specific SDG indicators,we found that the ELcV4SDGs priority list comprises three main categories,type and structure,pattern and intensity,and process and evolution of land cover,which are further divided into 19 subcategories and ultimately encompass 50 general variables.The ELcV4SDGs will support detailed spatial monitoring and enhance their scientific applications for SDG monitoring and assessment,thereby guiding future SDG priority actions and informing decision-making to advance the 2030 SDGs agenda at local,national,and global levels.展开更多
The present study was carried out to evaluate the quality of the rhizomes of Zingiber officinale and Zingiber zerumbet from different areas of Togo on the basis of their essential oil content and composition. The dry ...The present study was carried out to evaluate the quality of the rhizomes of Zingiber officinale and Zingiber zerumbet from different areas of Togo on the basis of their essential oil content and composition. The dry rhizomes were pulverised, hydrodistilled and essential oils were analysed using GC and GC/MS techniques. The results revealed that the essential oil yield of Z. zerumbet ranged from 0.75% to 1.00% and was mainly composed by Zerumbone (51.8% - 37.5%) and humulene (21.7% - 28.2%). Z. officinale essential oil yielded from 1.25% to 1.67%, with major components as zingiberene (33% - 39.9%);basibolene (12.7% - 16%), and sesquiphellandrene (13% - 14.7%).展开更多
This study prepared and characterized amphiphilic carboxymethyl cellulose stearate(CMCS)recycled from sugarcane bagasse agro-waste(SB).The Fourier-transform infrared(FTIR)analysis confirmed cellulose,carboxymethyl cel...This study prepared and characterized amphiphilic carboxymethyl cellulose stearate(CMCS)recycled from sugarcane bagasse agro-waste(SB).The Fourier-transform infrared(FTIR)analysis confirmed cellulose,carboxymethyl cellulose(CMC),and CMCS structures,with CMCS showing increased H-bonding.X-ray diffraction analysis(XRD)revealed reduced crystallinity in CMC and CMCS.CMCS exhibited a hydrophobic nature but dispersed in water,enabling nanoemulsion formation.Optimal nanoemulsion was achieved with CMCS1,showing a particle size of 99 nm.Transmission electron microscopy(TEM)images revealed CMC’s honeycomb structure,transforming into spherical particles in CMCS1.Antimicrobial tests demonstrated strong activity of CMCS formulations against Escherichia coli and Staphylococcus aureus,with CMCS3 exhibiting the highest efficacy.These findings highlight the potential of CMCS-based nanoemulsions for antimicrobial applications and nanoemulsification.展开更多
Essential thrombocythemia is classified as a chronic myeloproliferative disorder characterized by the overproduction of platelets stemming from a megakaryocytic clone. The diagnosis primarily relies on bone marrow bio...Essential thrombocythemia is classified as a chronic myeloproliferative disorder characterized by the overproduction of platelets stemming from a megakaryocytic clone. The diagnosis primarily relies on bone marrow biopsy findings and the detection of the JAK2 V617F mutation, after the exclusion of secondary thrombocytosis due to conditions such as inflammation, hemolysis, infection, and iron deficiency. On the other hand, Ulcerative colitis represents an inflammatory disorder of the colon. The diagnosis of ulcerative colitis is established through clinical assessment, endoscopic examination, and histological criteria, without a discernible alternative etiology. The concomitant occurrence of these two conditions is infrequent. We present the case of an 85-year-old patient with a history of essential thrombocythemia who exhibited gastrointestinal symptoms characterized by alternating episodes of diarrhea and constipation. A subsequent colonoscopy accompanied by a biopsy revealed histological features consistent with ulcerative colitis. The patient was administered cytoreductive therapy in combination with mesalazine, resulting in favorable outcomes. Current literature addressing this association is limited, indicating the need for further investigative studies to elucidate the causal relationships between these two pathologies and to achieve improved therapeutic management strategies.展开更多
Background: The availability of essential medicines and medical supplies is crucial for effectively delivering healthcare services. In Zambia, the Logistics Management Information System (LMIS) is a key tool for manag...Background: The availability of essential medicines and medical supplies is crucial for effectively delivering healthcare services. In Zambia, the Logistics Management Information System (LMIS) is a key tool for managing the supply chain of these commodities. This study aimed to evaluate the effectiveness of LMIS in ensuring the availability of essential medicines and medical supplies in public hospitals in the Copperbelt Province of Zambia. Materials and Methods: From February to April 2022, a cross-sectional study was conducted in 12 public hospitals across the Copperbelt Province. Data were collected using structured questionnaires, checklists, and stock control cards. The study assessed LMIS availability, training, and knowledge among pharmacy personnel, as well as data accuracy, product availability, and order fill rates. Descriptive statistics were used to analyse the data. Results: All surveyed hospitals had LMIS implemented and were using eLMIS as the primary LMIS. Only 47% and 48% of pharmacy personnel received training in eLMIS and Essential Medicines Logistics Improvement Program (EMLIP), respectively. Most personnel demonstrated good knowledge of LMIS, with 77.7% able to log in to eLMIS Facility Edition, 76.6% able to locate stock control cards in the system, and 78.7% able to perform transactions. However, data accuracy from physical and electronic records varied from 0% to 60%, and product availability ranged from 50% to 80%. Order fill rates from Zambia Medicines and Medical Supplies Agency (ZAMMSA) were consistently below 30%. Discrepancies were observed between physical stock counts and eLMIS records. Conclusion: This study found that most hospitals in the Copperbelt Province of Zambia have implemented LMIS use. While LMIS implementation is high in the Copperbelt Province of Zambia, challenges such as low training levels, data inaccuracies, low product availability, and order fill rates persist. Addressing these issues requires a comprehensive approach, including capacity building, data quality improvement, supply chain coordination, and investment in infrastructure and human resources. Strengthening LMIS effectiveness is crucial for improving healthcare delivery and patient outcomes in Zambia.展开更多
Normal forms have a significant role in the theory of relational database normalization.The definitions of normal forms are established through the functional dependency(FD)relationship between a prime or nonprime att...Normal forms have a significant role in the theory of relational database normalization.The definitions of normal forms are established through the functional dependency(FD)relationship between a prime or nonprime attribute and a key.However,determining whether an attribute is a prime attribute is a nondeterministic polynomial-time complete(NP-complete)problem,making it intractable to determine if a relation scheme is in a specific normal form.While the prime attribute problem is generally NP-complete,there are cases where identifying prime attributes is not challenging.In a relation scheme R(U,F),we partition U into four distinct subsets based on where attributes in U appear in F:U_(1)(attributes only appearing on the left-hand side of FDs),U_(2)(attributes only appearing on the right-hand side of FDs),U_(3)(attributes appearing on both sides of FDs),and U_(4)(attributes not present in F).Next,we demonstrate the necessary and sufficient conditions for a key to be the unique key of a relation scheme.Subsequently,we illustrate the features of prime attributes in U_(3) and generalize the features of common prime attributes.The findings lay the groundwork for distinguishing between complex and simple cases in prime attribute identification,thereby deepening the understanding of this problem.展开更多
Mango(Mangifera indica L.cv.‘Keitt’)is one of the core fruit delicacies produced by China.During the post-harvest storage span,the fungal pathogen colletotrichum gloeosporioides readily invades the fruits and leads ...Mango(Mangifera indica L.cv.‘Keitt’)is one of the core fruit delicacies produced by China.During the post-harvest storage span,the fungal pathogen colletotrichum gloeosporioides readily invades the fruits and leads to a significant overall yield loss.In recent years of development,the exploitation of naturally occurring fungitoxic compounds such as Sandalwood Essential Oil(SEO)has been useful in tackling various fungal species.This study demonstrates the potential of SEO as part of a storage protection strategy against C.gloeosporioides-induced postharvest anthracnose.SEO displayed a relatively higher mycelial growth inhibition rate when compared to various other essential oils.Furthermore,the Minimal Inhibitory Concentration(MIC),Minimum Fungicidal Concentration(MFC),and EC_(50)(Half maximal effective concentration)of SEO were determined to be 2000,2500,and 610.38μL/L,respectively.Moreover,the chitosan glutamate-SEO emulsion controlled the anthracnose spread for several days by multiple folds at½MIC,MIC,and 2 MIC concentrations.These results strongly support the potential for largescale production and application of SEO emulsions by agrochemical firms and post-harvest storage facilities handling Keitt mangoes.展开更多
This study analyzes the risks of re-identification in Korean text data and proposes a secure,ethical approach to data anonymization.Following the‘Lee Luda’AI chatbot incident,concerns over data privacy have increase...This study analyzes the risks of re-identification in Korean text data and proposes a secure,ethical approach to data anonymization.Following the‘Lee Luda’AI chatbot incident,concerns over data privacy have increased.The Personal Information Protection Commission of Korea conducted inspections of AI services,uncovering 850 cases of personal information in user input datasets,highlighting the need for pseudonymization standards.While current anonymization techniques remove personal data like names,phone numbers,and addresses,linguistic features such as writing habits and language-specific traits can still identify individuals when combined with other data.To address this,we analyzed 50,000 Korean text samples from the X platform,focusing on language-specific features for authorship attribution.Unlike English,Korean features flexible syntax,honorifics,syllabic and grapheme patterns,and referential terms.These linguistic characteristics were used to enhance re-identification accuracy.Our experiments combined five machine learning models,six stopword processing methods,and four morphological analyzers.By using a tokenizer that captures word frequency and order,and employing the LSTM model,OKT morphological analyzer,and stopword removal,we achieved the maximum authorship attributions accuracy of 90.51%.This demonstrates the significant role of Korean linguistic features in re-identification.The findings emphasize the risk of re-identification through language data and call for a re-evaluation of anonymization methods,urging the consideration of linguistic traits in anonymization beyond simply removing personal information.展开更多
Detecting overlapping communities in attributed networks remains a significant challenge due to the complexity of jointly modeling topological structure and node attributes,the unknown number of communities,and the ne...Detecting overlapping communities in attributed networks remains a significant challenge due to the complexity of jointly modeling topological structure and node attributes,the unknown number of communities,and the need to capture nodes with multiple memberships.To address these issues,we propose a novel framework named density peaks clustering with neutrosophic C-means.First,we construct a consensus embedding by aligning structure-based and attribute-based representations using spectral decomposition and canonical correlation analysis.Then,an improved density peaks algorithm automatically estimates the number of communities and selects initial cluster centers based on a newly designed cluster strength metric.Finally,a neutrosophic C-means algorithm refines the community assignments,modeling uncertainty and overlap explicitly.Experimental results on synthetic and real-world networks demonstrate that the proposed method achieves superior performance in terms of detection accuracy,stability,and its ability to identify overlapping structures.展开更多
Semen Platycladi(SP)is the dried ripe kernel of Platycladus orientalis(L.)Franco,has been used for insomnia treatment for bimillennium in China,which mechanism is not fully understood.The aim of this study was to expl...Semen Platycladi(SP)is the dried ripe kernel of Platycladus orientalis(L.)Franco,has been used for insomnia treatment for bimillennium in China,which mechanism is not fully understood.The aim of this study was to explore the sleep-promoting mechanism of essential oil and saponins from SP.As 2 main bioactive constituents of SP,essential oil(SPO)and saponin(SPS)were extracted,then was given to p-chlorophenylalanine(PCPA)-induced insomnia mice by intragastric administration.Then,the behavioral tests,neurotransmitter receptors,cytokines and hormone in brain were investigated.Behavior test showed that SPO and SPS exhibited sleep-enhancing effect through suppressing depression,shortening the onset time while prolonging the sleep duration in insomnia mice.Also SPO and SPS up-regulated serotonin(5-HT)receptors in serotonergic neurons,increased glutamic acid decarboxylase(GAD)content in GABAergic neurons,and stimulatedγ-aminobutyric acid(GABA)receptors expression to enhance the synaptic inhibition.Moreover,they could down-regulated the cytokines and rebalanced hormone expressions.Although both SPO and SPS exerted sleep-promoting,they had different focusing targets.SPS had stronger effect on neurotransmitter receptors regulation while SPO had better hormone rebalanced ability.Briefly,SPO and SPS exerted sedative-hypnotic effect in insomnia mice through modulating multi-targets in serotonergic and GABAergic system.展开更多
Linguistic steganography(LS)aims to embed secret information into normal natural text for covert communication.It includes modification-based(MLS)and generation-based(GLS)methods.MLS often relies on limited manual rul...Linguistic steganography(LS)aims to embed secret information into normal natural text for covert communication.It includes modification-based(MLS)and generation-based(GLS)methods.MLS often relies on limited manual rules,resulting in low embedding capacity,while GLS achieves higher embedding capacity through automatic text generation but typically ignores extraction efficiency.To address this,we propose a sentence attribute encodingbased MLS method that enhances extraction efficiency while maintaining strong performance.The proposed method designs a lightweight semantic attribute analyzer to encode sentence attributes for embedding secret information.When the attribute values of the cover sentence differ from the secret information to be embedded,a semantic attribute adjuster based on paraphrasing is used to automatically generate paraphrase sentences of the target attribute,thereby improving the problem of insufficient manual rules.During the extraction,secret information can be extracted solely by employing the semantic attribute analyzer,thereby eliminating the dependence on the paraphrasing generation model.Experimental results show that thismethod achieves an extraction speed of 1141.54 bits/sec,compared with the existing methods,it has remarkable advantages regarding extraction speed.Meanwhile,the stego text generated by thismethod respectively reaches 68.53,39.88,and 80.77 on BLEU,△PPL,and BERTScore.Compared with the existing methods,the text quality is effectively improved.展开更多
Objective:To evaluate the efficacy of Sanhua essential oil inhalation as aromatherapy in patients with breast cancer-related depression.Methods:In total,144 patients with breast cancer-related depression who underwent...Objective:To evaluate the efficacy of Sanhua essential oil inhalation as aromatherapy in patients with breast cancer-related depression.Methods:In total,144 patients with breast cancer-related depression who underwent postoperative chemotherapy were recruited.The participants in the control group(n=52)were offered a placebo(sunflower oil)daily,whereas those in the essential oil group(n=52)were administered Sanhua essential oil.This study evaluated depression improvement,Hamilton Depression Scale score,scores of symptoms in traditional Chinese medicine(TCM),Pittsburgh Sleepiness Quotient Index score,incidence of nausea and vomiting,and signal changes on functional magnetic resonance imaging.Results:Depression improved by 48.1%and 21.2%in the essential oil and control groups,respectively(P=.010).The Hamilton Depression Scale score(P=.017),scores for symptoms in TCM(P=.002),and the incidence of nausea and vomiting in the acute and delayed phases were lower in the essential oil group than in the control group(nausea in the acute phase,P=.017;nausea in the delayed phase,P=.039;vomiting in the acute phase,P=.008;vomiting in the delayed phase,P=.081).The Pittsburgh Sleepiness Quotient Index score was lower in the essential oil group than in the control group(P=.005).Significant differences existed between the two groups in the left superior parietal gyrus,right precuneus,left dorsolateral superior frontal gyrus,and right precentral gyrus according to functional connectivity on functional magnetic resonance imaging.Conclusion:Inhalation of Sanhua essential oil alleviated depression in patients undergoing chemotherapy for breast cancer,improved sleep quality,relieved TCM symptoms,reduced nausea and vomiting,and regulated activities in the brain regions.展开更多
Recognizing essential proteins within bacteriophages is fundamental to uncovering their replication and survival mechanisms and contributes to advances in phage-based antibacterial therapies.Despite notable progress,e...Recognizing essential proteins within bacteriophages is fundamental to uncovering their replication and survival mechanisms and contributes to advances in phage-based antibacterial therapies.Despite notable progress,existing computational techniques struggle to represent the interplay between sequence-derived and structuredependent protein features.To overcome this limitation,we introduce GLM-EP,a unified framework that fuses protein language models with equivariant graph neural networks.Bymerging semantic embeddings extracted from amino acid sequences with geometry-aware graph representations,GLM-EP enables an in-depth depiction of phage proteins and enhances essential protein identification.Evaluation on diverse benchmark datasets confirms that GLM-EP surpasses conventional sequence-based and independent deep-learning methods,yielding higher F1 and AUROC outcomes.Component-wise analysis demonstrates that GCNII,EGNN,and the gated multi-head attention mechanism function in a complementary manner to encode complex molecular attributes.In summary,GLM-EP serves as a robust and efficient tool for bacteriophage genomic analysis and provides valuable methodological perspectives for the discovery of antibiotic-resistance therapeutic targets.The corresponding code repository is available at:https://github.com/MiJia-ID/GLM-EP(accessed on 01 November 2025).展开更多
Security attributes are the premise and foundation for implementing Attribute-Based Access Control(ABAC)mechanisms.However,when dealing with massive volumes of unstructured text big data resources,the current attribut...Security attributes are the premise and foundation for implementing Attribute-Based Access Control(ABAC)mechanisms.However,when dealing with massive volumes of unstructured text big data resources,the current attribute management methods based on manual extraction face several issues,such as high costs for attribute extraction,long processing times,unstable accuracy,and poor scalability.To address these problems,this paper proposes an attribute mining technology for access control institutions based on hybrid capsule networks.This technology leverages transfer learning ideas,utilizing Bidirectional Encoder Representations from Transformers(BERT)pre-trained language models to achieve vectorization of unstructured text data resources.Furthermore,we have designed a novel end-to-end parallel hybrid network structure,where the parallel networks handle global and local information features of the text that they excel at,respectively.By employing techniques such as attention mechanisms,capsule networks,and dynamic routing,effective mining of security attributes for access control resources has been achieved.Finally,we evaluated the performance level of the proposed attribute mining method for access control institutions through experiments on the medical referral text resource dataset.The experimental results show that,compared with baseline algorithms,our method adopts a parallel network structure that can better balance global and local feature information,resulting in improved overall performance.Specifically,it achieves a comprehensive performance enhancement of 2.06%to 8.18%in the F1 score metric.Therefore,this technology can effectively provide attribute support for access control of unstructured text big data resources.展开更多
Salmonellosis represents a global epidemic,and the emergence of extensively drug-resistant(XDR)Salmonella and its sustained transmission worldwide constitutes a significant public health concern.Flagellum-mediated mot...Salmonellosis represents a global epidemic,and the emergence of extensively drug-resistant(XDR)Salmonella and its sustained transmission worldwide constitutes a significant public health concern.Flagellum-mediated motility serves as a crucial virulence trait of Salmonella that guides the pathogen toward the epithelial surface,enhancing gut colonization.Artemisia argyit essential oil,a traditional herb extract,demonstrates efficacy in treating inflammationrelated symptoms and diseases;however,its effects on flagellum assembly and expression mechanisms in anti-Salmonella activity remain inadequately explored.This study aimed to elucidate the mechanism by which Artemisia argyit essential oil addresses Salmonella infections.Network pharmacological analysis revealed that Traditional Chinese Medicine(TCM)Artemisia argyit exhibited anti-Salmonella infection potential and inhibited flagellum-dependent motility.The application of Artemisia argyit essential oil induced notable motility defects through the downregulation of flagellar and fimbriae expression.Moreover,it significantly reduced Salmonella-infected cell damage by interfering with flagellum-mediated Salmonella colonization.In vivo studies demonstrated that Artemisia argyit essential oil administration effectively alleviated Salmonella infection symptoms by reducing bacterial loads,inhibiting interleukin-1 beta(IL-1β),IL-6,and tumor necrosis factor-alpha(TNF-α)production,and diminishing pathological injury.Gas chromatography-mass spectrometry(GC-MS)analysis identified forty-three compounds in Artemisia argyit essential oil,with their corresponding targets and active ingredients predicted.Investigation of an in vivo model of Salmonella infection using the active ingredient demonstrated that alpha-cedrene ameliorated Salmonella infection.These findings suggest the potential application of Artemisia argyit essential oil in controlling Salmonella,the predominant food-borne pathogen.展开更多
Seismic attributes encapsulate substantial reservoir characterization information and can effectively support reservoir prediction.Given the high-dimensional nonlinear between sandbodies and seismic attributes,this st...Seismic attributes encapsulate substantial reservoir characterization information and can effectively support reservoir prediction.Given the high-dimensional nonlinear between sandbodies and seismic attributes,this study employs the RFECV method for seismic attribute selection,inputting the optimized attributes into a LightGBM model to enhance spatial delineation of sandbody identification.By constructing training datasets based on optimized seismic attributes and well logs,followed by class imbalance correction as input variables for machine learning models,with sandbody probability as the output variable,and employing grid search to optimize model parameters,a high-precision sandbody prediction model was established.Taking the 3D seismic data of Block F3 in the North Sea of Holland as an example,this method successfully depicted the three-dimensional spatial distribution of target formation sandstones.The results indicate that even under strong noise conditions,the multi-attribute sandbody identification method based on LightGBM effectively characterizes the distribution features of sandbodies.Compared to unselected attributes,the prediction results using selected attributes have higher vertical resolution and inter-well conformity,with the prediction accuracy for single wells reaching 80.77%,significantly improving the accuracy of sandbody boundary delineation.展开更多
文摘In this study,thyme essential oil(TEO)nanoemulsion(tPTNs)was constructed with transglutaminase(TGase)-modified potato protein,and its antibacterial activity and mechanism of action were evaluated and explored.Results indicated that tPTNs exhibited great antibacterial activity against both Staphylococcus aureus and Escherichia coli,with minimal inhibitory concentration(MIC)and minimum bactericidal concentration(MBC)of 2.5 and 5.0 mg/mL,respectively.Also,the antibacterial effects of tPTNs were concentration-dependent.We observed a significant decrease in the absolute value of the zeta potential,and significant increases in particle size,cell membrane hydrophobicity,conductivity,the release of metal ions,and the leakage of nucleic acid as the concentration of tPTNs increased from 0 mg/mL to MBC.Furthermore,sodium dodecyl sulphate-polyacrylamide gel electrophoresis(SDS-PAGE)demonstrated that protein synthesis was inhibited or even disrupted.Analysis by liquid chromatography-mass spectrometry(LC-MS)indicated that treatment with tPTNs caused significant changes in bacterial metabolites,1117 and 692 differential metabolites being found for S.aureus and E.coli,respectively.The differential metabolites were involved in nucleotide metabolism,amino acid metabolism,tricarboxylic acid cycle and other metabolic pathways.These findings provide valuable insights for the application of thyme essential oil as an efficient antibacterial agent and for the understanding of its mechanism of action.
基金support from the National Key Research and Development Program of China(Grant No.2021YFF0704102)the Chongqing Education Commission Key Project of Science and Technology Research(Grant No.KJZD-K202400610)the Chongqing Natural Science Foundation General Project(Grant No.CSTB2025NSCQ-GPX1263).
文摘Attribute-Based Encryption(ABE)has emerged as a fundamental access control mechanism in data sharing,enabling data owners to define flexible access policies.A critical aspect of ABE is key revocation,which plays a pivotal role in maintaining security.However,existing key revocation mechanisms face two major challenges:(1)High overhead due to ciphertext and key updates,primarily stemming from the reliance on revocation lists during attribute revocation,which increases computation and communication costs.(2)Limited universality,as many attribute revocation mechanisms are tailored to specific ABE constructions,restricting their broader applicability.To address these challenges,we propose LUAR(Lightweight and Universal Attribute Revocation),a novel revocation mechanism that leverages Intel Software Guard Extensions(SGX)while minimizing its inherent limitations.Given SGX’s constrained memory(≈90 MB in a personal computer)and susceptibility to side-channel attacks,we carefully manage its usage to reduce reliance while mitigating potential collusion risks between cloud service providers and users.To evaluate LUAR’s lightweight and universality,we integrate it with the classic BSW07 scheme,which can be seamlessly replaced with other ABE constructions.Experimental results demonstrate that LUAR enables secure attribute revocation with low computation and communication overhead.The processing time within the SGX environment remains stable at approximately 55 ms,regardless of the complexity of access policies,ensuring no additional storage or computational burden on SGX.Compared to the Hardware-based Revocable Attribute-Based Encryption(HR-ABE)scheme(IEEE S&P 2024),LUAR incurs a slightly higher computational cost within SGX;however,the overall time from initiating a data request to obtaining plaintext is shorter.As access policies grow more complex,LUAR’s advantages become increasingly evident,showcasing its superior efficiency and broader applicability.
基金supported by grants from the National Natural Science Foundation of China(G.F.Wang,grant number 82204071)(P.Y.Su,grant numbers 81874268 and 82473655)the Research Funds of the Center for Big Data and Population Health of IHM(P.Y.Su,No.JKS2023016)Anhui Provincial Health Commission Scientific Research Project(Y.Zhou,No.AHWJ2023A30027)。
文摘Vitamin D deficiency(VDD)represents a significant nutritional concern among children and adolescents.The estimated prevalence of VDD in China is 46.8%in this population^([1]).VDD during childhood and adolescence has been associated with the onset of various conditions,including acute respiratory infections,asthma,atopic dermatitis,and food allergies^([2]).Multiple factors,including age,sun exposure,adiposity,and genetics,influence vitamin D levels^([2,3]).Increasing attention has been directed toward understanding the environmental determinants that may influence vitamin D status.Given the potential of metallic pollutants to disrupt endocrine function and their ubiquity in the environment,investigating the effects of metal exposure on human vitamin D status,particularly in vulnerable populations,is imperative.
基金We appreciate the financial support of this work by Gorgan University of Agricultural Sciences and Natural Resources from Golestan Province(Grant No.9413184180).
文摘Drought,as the most catastrophic abiotic stress,poses a significant threat to the growth and development of plants.Among the mechanisms employed by plants to cope with drought-induced stress,abscisic acid(ABA)which is the sesquiterpene hormone,occupies a pivotal role.A hypothesis has emerged that the exogenous application of ABA can positively influence the terpenoid content of Lavandula angustifolia cv Hidcote essential oil(EO),thereby conferring enhanced resilience to drought stress.A randomized complete block design experiment was conducted with three replicationsandfour irrigation regimes,including I4[30%-40%of field capacity(FC)],I3(50%-60%FC),I2(70%-80%FC),andI1(90%-100%FC)as control.Application of ABAspraying included three concentrations,A3(30μmol·L^(-1)ABA),A2(15μmol·L^(-1)ABA),and A1 as control(distilled water).Results revealed that drought significantly affected all studied traits except for relative water content(RWC)and shoot dry mass.The ABA impact application on the observed traits was found to be dependent upon the level of drought to which the plants were exposed.Specifically,the highest levels of flavonoid content,total antioxidant activity,peroxidase(POX)activity,and EO percentage were observed under I4A2 conditions.Conversely,the highest levels of superoxide dismutase(SOD)and catalase(CAT)activity,and proline were recorded under I4A3 conditions,while the highest EO yield was obtained under I3A2 conditions.Analysis of the EO revealed that there were common indicative compounds across the varying levels of droughtandABAapplication,including linalool,camphor,borneol,bornyl formate,andcaryophyllene oxide.Theproduction pattern ofmonoterpene and sesquiterpene compounds demonstrated a distinct trend,with the highest concentration of monoterpene hydrocarbon compounds(average of 12.92%)being observed in the I2A3 treatment group,andthe highest concentration of oxygenatedmonoterpenecompounds(average of 64.76%)being recorded in the I1A1 group.Conversely,the most significant levels of sesquiterpene hydrocarboncompounds(14.98%)andoxygenated sesquiterpene compounds(10.46%)were observed in the I4A3 and I4A1 groups,respectively,showing the efficacy of monoterpenes and sesquiterpenes from the action of ABA under drought conditions.The observed results indicated that the concentration of oxygenated monoterpene compounds decreases with an increase in drought level.Conversely,the application of ABA at any given drought level appears to resulted in increased concentrations of oxygenated monoterpene compounds in the same conditions.It may be concluded that plants under high-stress drought conditions allocate more terpene precursors to the production of sesquiterpene hydrocarbon compounds,aided by ABA with the same properties.
基金supported by the Key Program of National Natural Science Foundation of China(Grant No.41930650)Young Scientists Fund of the National Natural Science Foundation of China(Grant No.42301310).
文摘Sustained and spatially explicit monitoring of the United Nations 2030 Agenda for Sustainable Development is critical for effectively tracking progress toward the global Sustainable Development Goals(SDGs).Although land cover information has long been recognized as an essential component for monitoring SDGs,a standardized scientific framework for identifying and prioritizing land cover related essential variables does not exist.Therefore,we propose a novel expert-and data-driven framework for identifying,refining,and selecting a priority list of Essential Land cover-related Variables for SDGs(ELcV4SDGs).This framework integrates methods including expert knowledge-based analysis,clustering of variables with similar attributes,and quantified index calculation to establish the priority list.Applying the framework to 15 specific SDG indicators,we found that the ELcV4SDGs priority list comprises three main categories,type and structure,pattern and intensity,and process and evolution of land cover,which are further divided into 19 subcategories and ultimately encompass 50 general variables.The ELcV4SDGs will support detailed spatial monitoring and enhance their scientific applications for SDG monitoring and assessment,thereby guiding future SDG priority actions and informing decision-making to advance the 2030 SDGs agenda at local,national,and global levels.
文摘The present study was carried out to evaluate the quality of the rhizomes of Zingiber officinale and Zingiber zerumbet from different areas of Togo on the basis of their essential oil content and composition. The dry rhizomes were pulverised, hydrodistilled and essential oils were analysed using GC and GC/MS techniques. The results revealed that the essential oil yield of Z. zerumbet ranged from 0.75% to 1.00% and was mainly composed by Zerumbone (51.8% - 37.5%) and humulene (21.7% - 28.2%). Z. officinale essential oil yielded from 1.25% to 1.67%, with major components as zingiberene (33% - 39.9%);basibolene (12.7% - 16%), and sesquiphellandrene (13% - 14.7%).
文摘This study prepared and characterized amphiphilic carboxymethyl cellulose stearate(CMCS)recycled from sugarcane bagasse agro-waste(SB).The Fourier-transform infrared(FTIR)analysis confirmed cellulose,carboxymethyl cellulose(CMC),and CMCS structures,with CMCS showing increased H-bonding.X-ray diffraction analysis(XRD)revealed reduced crystallinity in CMC and CMCS.CMCS exhibited a hydrophobic nature but dispersed in water,enabling nanoemulsion formation.Optimal nanoemulsion was achieved with CMCS1,showing a particle size of 99 nm.Transmission electron microscopy(TEM)images revealed CMC’s honeycomb structure,transforming into spherical particles in CMCS1.Antimicrobial tests demonstrated strong activity of CMCS formulations against Escherichia coli and Staphylococcus aureus,with CMCS3 exhibiting the highest efficacy.These findings highlight the potential of CMCS-based nanoemulsions for antimicrobial applications and nanoemulsification.
文摘Essential thrombocythemia is classified as a chronic myeloproliferative disorder characterized by the overproduction of platelets stemming from a megakaryocytic clone. The diagnosis primarily relies on bone marrow biopsy findings and the detection of the JAK2 V617F mutation, after the exclusion of secondary thrombocytosis due to conditions such as inflammation, hemolysis, infection, and iron deficiency. On the other hand, Ulcerative colitis represents an inflammatory disorder of the colon. The diagnosis of ulcerative colitis is established through clinical assessment, endoscopic examination, and histological criteria, without a discernible alternative etiology. The concomitant occurrence of these two conditions is infrequent. We present the case of an 85-year-old patient with a history of essential thrombocythemia who exhibited gastrointestinal symptoms characterized by alternating episodes of diarrhea and constipation. A subsequent colonoscopy accompanied by a biopsy revealed histological features consistent with ulcerative colitis. The patient was administered cytoreductive therapy in combination with mesalazine, resulting in favorable outcomes. Current literature addressing this association is limited, indicating the need for further investigative studies to elucidate the causal relationships between these two pathologies and to achieve improved therapeutic management strategies.
文摘Background: The availability of essential medicines and medical supplies is crucial for effectively delivering healthcare services. In Zambia, the Logistics Management Information System (LMIS) is a key tool for managing the supply chain of these commodities. This study aimed to evaluate the effectiveness of LMIS in ensuring the availability of essential medicines and medical supplies in public hospitals in the Copperbelt Province of Zambia. Materials and Methods: From February to April 2022, a cross-sectional study was conducted in 12 public hospitals across the Copperbelt Province. Data were collected using structured questionnaires, checklists, and stock control cards. The study assessed LMIS availability, training, and knowledge among pharmacy personnel, as well as data accuracy, product availability, and order fill rates. Descriptive statistics were used to analyse the data. Results: All surveyed hospitals had LMIS implemented and were using eLMIS as the primary LMIS. Only 47% and 48% of pharmacy personnel received training in eLMIS and Essential Medicines Logistics Improvement Program (EMLIP), respectively. Most personnel demonstrated good knowledge of LMIS, with 77.7% able to log in to eLMIS Facility Edition, 76.6% able to locate stock control cards in the system, and 78.7% able to perform transactions. However, data accuracy from physical and electronic records varied from 0% to 60%, and product availability ranged from 50% to 80%. Order fill rates from Zambia Medicines and Medical Supplies Agency (ZAMMSA) were consistently below 30%. Discrepancies were observed between physical stock counts and eLMIS records. Conclusion: This study found that most hospitals in the Copperbelt Province of Zambia have implemented LMIS use. While LMIS implementation is high in the Copperbelt Province of Zambia, challenges such as low training levels, data inaccuracies, low product availability, and order fill rates persist. Addressing these issues requires a comprehensive approach, including capacity building, data quality improvement, supply chain coordination, and investment in infrastructure and human resources. Strengthening LMIS effectiveness is crucial for improving healthcare delivery and patient outcomes in Zambia.
文摘Normal forms have a significant role in the theory of relational database normalization.The definitions of normal forms are established through the functional dependency(FD)relationship between a prime or nonprime attribute and a key.However,determining whether an attribute is a prime attribute is a nondeterministic polynomial-time complete(NP-complete)problem,making it intractable to determine if a relation scheme is in a specific normal form.While the prime attribute problem is generally NP-complete,there are cases where identifying prime attributes is not challenging.In a relation scheme R(U,F),we partition U into four distinct subsets based on where attributes in U appear in F:U_(1)(attributes only appearing on the left-hand side of FDs),U_(2)(attributes only appearing on the right-hand side of FDs),U_(3)(attributes appearing on both sides of FDs),and U_(4)(attributes not present in F).Next,we demonstrate the necessary and sufficient conditions for a key to be the unique key of a relation scheme.Subsequently,we illustrate the features of prime attributes in U_(3) and generalize the features of common prime attributes.The findings lay the groundwork for distinguishing between complex and simple cases in prime attribute identification,thereby deepening the understanding of this problem.
基金funded by the Hainan Province Science and Technology Special Fund[grant number ZDKJ2021012]the National Key R&D Programof China[grant number 2023YFD2300801]received by Fei Qiaothe Ongoing Research Funding Program(ORF-2025-751),King Saud University,Riyadh,Saud Arabia.
文摘Mango(Mangifera indica L.cv.‘Keitt’)is one of the core fruit delicacies produced by China.During the post-harvest storage span,the fungal pathogen colletotrichum gloeosporioides readily invades the fruits and leads to a significant overall yield loss.In recent years of development,the exploitation of naturally occurring fungitoxic compounds such as Sandalwood Essential Oil(SEO)has been useful in tackling various fungal species.This study demonstrates the potential of SEO as part of a storage protection strategy against C.gloeosporioides-induced postharvest anthracnose.SEO displayed a relatively higher mycelial growth inhibition rate when compared to various other essential oils.Furthermore,the Minimal Inhibitory Concentration(MIC),Minimum Fungicidal Concentration(MFC),and EC_(50)(Half maximal effective concentration)of SEO were determined to be 2000,2500,and 610.38μL/L,respectively.Moreover,the chitosan glutamate-SEO emulsion controlled the anthracnose spread for several days by multiple folds at½MIC,MIC,and 2 MIC concentrations.These results strongly support the potential for largescale production and application of SEO emulsions by agrochemical firms and post-harvest storage facilities handling Keitt mangoes.
基金supported by Basic Science Research Program through the National Research Foundation of Korea(NRF)funded by the Ministry of Education(RS-2023-00238866)Korea government(MOE)(2024 government collaboration type training project[Information security field],No.2024 personal information protection-002).
文摘This study analyzes the risks of re-identification in Korean text data and proposes a secure,ethical approach to data anonymization.Following the‘Lee Luda’AI chatbot incident,concerns over data privacy have increased.The Personal Information Protection Commission of Korea conducted inspections of AI services,uncovering 850 cases of personal information in user input datasets,highlighting the need for pseudonymization standards.While current anonymization techniques remove personal data like names,phone numbers,and addresses,linguistic features such as writing habits and language-specific traits can still identify individuals when combined with other data.To address this,we analyzed 50,000 Korean text samples from the X platform,focusing on language-specific features for authorship attribution.Unlike English,Korean features flexible syntax,honorifics,syllabic and grapheme patterns,and referential terms.These linguistic characteristics were used to enhance re-identification accuracy.Our experiments combined five machine learning models,six stopword processing methods,and four morphological analyzers.By using a tokenizer that captures word frequency and order,and employing the LSTM model,OKT morphological analyzer,and stopword removal,we achieved the maximum authorship attributions accuracy of 90.51%.This demonstrates the significant role of Korean linguistic features in re-identification.The findings emphasize the risk of re-identification through language data and call for a re-evaluation of anonymization methods,urging the consideration of linguistic traits in anonymization beyond simply removing personal information.
基金supported by the Natural Science Foundation of China(Grant No.72571150)。
文摘Detecting overlapping communities in attributed networks remains a significant challenge due to the complexity of jointly modeling topological structure and node attributes,the unknown number of communities,and the need to capture nodes with multiple memberships.To address these issues,we propose a novel framework named density peaks clustering with neutrosophic C-means.First,we construct a consensus embedding by aligning structure-based and attribute-based representations using spectral decomposition and canonical correlation analysis.Then,an improved density peaks algorithm automatically estimates the number of communities and selects initial cluster centers based on a newly designed cluster strength metric.Finally,a neutrosophic C-means algorithm refines the community assignments,modeling uncertainty and overlap explicitly.Experimental results on synthetic and real-world networks demonstrate that the proposed method achieves superior performance in terms of detection accuracy,stability,and its ability to identify overlapping structures.
基金supported by the National Natural Science Foundation of China(31871778,31801468,and 32072201)Foshan Social Field Technology R&D Special Program(2120001008478)+1 种基金Science and Technology Program of Guangzhou,China(202201011762)State Key Laboratory of Dampness Syndrome of Chinese Medicine,The Second Affiliated Hospital of Guangzhou University of Chinese Medicine(SZ2024KF05)。
文摘Semen Platycladi(SP)is the dried ripe kernel of Platycladus orientalis(L.)Franco,has been used for insomnia treatment for bimillennium in China,which mechanism is not fully understood.The aim of this study was to explore the sleep-promoting mechanism of essential oil and saponins from SP.As 2 main bioactive constituents of SP,essential oil(SPO)and saponin(SPS)were extracted,then was given to p-chlorophenylalanine(PCPA)-induced insomnia mice by intragastric administration.Then,the behavioral tests,neurotransmitter receptors,cytokines and hormone in brain were investigated.Behavior test showed that SPO and SPS exhibited sleep-enhancing effect through suppressing depression,shortening the onset time while prolonging the sleep duration in insomnia mice.Also SPO and SPS up-regulated serotonin(5-HT)receptors in serotonergic neurons,increased glutamic acid decarboxylase(GAD)content in GABAergic neurons,and stimulatedγ-aminobutyric acid(GABA)receptors expression to enhance the synaptic inhibition.Moreover,they could down-regulated the cytokines and rebalanced hormone expressions.Although both SPO and SPS exerted sleep-promoting,they had different focusing targets.SPS had stronger effect on neurotransmitter receptors regulation while SPO had better hormone rebalanced ability.Briefly,SPO and SPS exerted sedative-hypnotic effect in insomnia mice through modulating multi-targets in serotonergic and GABAergic system.
基金supported by the National Natural Science Foundation of China under Grant 61972057Hunan Provincial Natural Science Foundation of China under Grant 2022JJ30623.
文摘Linguistic steganography(LS)aims to embed secret information into normal natural text for covert communication.It includes modification-based(MLS)and generation-based(GLS)methods.MLS often relies on limited manual rules,resulting in low embedding capacity,while GLS achieves higher embedding capacity through automatic text generation but typically ignores extraction efficiency.To address this,we propose a sentence attribute encodingbased MLS method that enhances extraction efficiency while maintaining strong performance.The proposed method designs a lightweight semantic attribute analyzer to encode sentence attributes for embedding secret information.When the attribute values of the cover sentence differ from the secret information to be embedded,a semantic attribute adjuster based on paraphrasing is used to automatically generate paraphrase sentences of the target attribute,thereby improving the problem of insufficient manual rules.During the extraction,secret information can be extracted solely by employing the semantic attribute analyzer,thereby eliminating the dependence on the paraphrasing generation model.Experimental results show that thismethod achieves an extraction speed of 1141.54 bits/sec,compared with the existing methods,it has remarkable advantages regarding extraction speed.Meanwhile,the stego text generated by thismethod respectively reaches 68.53,39.88,and 80.77 on BLEU,△PPL,and BERTScore.Compared with the existing methods,the text quality is effectively improved.
基金supported by grants from the National Natural Science Foundation of China Youth Project(82104952)Shanghai Science and Technology Commission Medical Innovation Research Special Fund(21Y11923600,23Y11921600)+2 种基金Shanghai Municipal Health Commission Clinical Research Special Fund(202140172)Yueyang Hospital Translational Medicine Research Institute Level Fund(2024yyzh05)Yueyang Hospital Young Talent Training Project(RY411.07.02.04).
文摘Objective:To evaluate the efficacy of Sanhua essential oil inhalation as aromatherapy in patients with breast cancer-related depression.Methods:In total,144 patients with breast cancer-related depression who underwent postoperative chemotherapy were recruited.The participants in the control group(n=52)were offered a placebo(sunflower oil)daily,whereas those in the essential oil group(n=52)were administered Sanhua essential oil.This study evaluated depression improvement,Hamilton Depression Scale score,scores of symptoms in traditional Chinese medicine(TCM),Pittsburgh Sleepiness Quotient Index score,incidence of nausea and vomiting,and signal changes on functional magnetic resonance imaging.Results:Depression improved by 48.1%and 21.2%in the essential oil and control groups,respectively(P=.010).The Hamilton Depression Scale score(P=.017),scores for symptoms in TCM(P=.002),and the incidence of nausea and vomiting in the acute and delayed phases were lower in the essential oil group than in the control group(nausea in the acute phase,P=.017;nausea in the delayed phase,P=.039;vomiting in the acute phase,P=.008;vomiting in the delayed phase,P=.081).The Pittsburgh Sleepiness Quotient Index score was lower in the essential oil group than in the control group(P=.005).Significant differences existed between the two groups in the left superior parietal gyrus,right precuneus,left dorsolateral superior frontal gyrus,and right precentral gyrus according to functional connectivity on functional magnetic resonance imaging.Conclusion:Inhalation of Sanhua essential oil alleviated depression in patients undergoing chemotherapy for breast cancer,improved sleep quality,relieved TCM symptoms,reduced nausea and vomiting,and regulated activities in the brain regions.
基金supported in part by funds from the Ministry of Science and Technology(2022FY101104).
文摘Recognizing essential proteins within bacteriophages is fundamental to uncovering their replication and survival mechanisms and contributes to advances in phage-based antibacterial therapies.Despite notable progress,existing computational techniques struggle to represent the interplay between sequence-derived and structuredependent protein features.To overcome this limitation,we introduce GLM-EP,a unified framework that fuses protein language models with equivariant graph neural networks.Bymerging semantic embeddings extracted from amino acid sequences with geometry-aware graph representations,GLM-EP enables an in-depth depiction of phage proteins and enhances essential protein identification.Evaluation on diverse benchmark datasets confirms that GLM-EP surpasses conventional sequence-based and independent deep-learning methods,yielding higher F1 and AUROC outcomes.Component-wise analysis demonstrates that GCNII,EGNN,and the gated multi-head attention mechanism function in a complementary manner to encode complex molecular attributes.In summary,GLM-EP serves as a robust and efficient tool for bacteriophage genomic analysis and provides valuable methodological perspectives for the discovery of antibiotic-resistance therapeutic targets.The corresponding code repository is available at:https://github.com/MiJia-ID/GLM-EP(accessed on 01 November 2025).
基金supported by National Natural Science Foundation of China(No.62102449).
文摘Security attributes are the premise and foundation for implementing Attribute-Based Access Control(ABAC)mechanisms.However,when dealing with massive volumes of unstructured text big data resources,the current attribute management methods based on manual extraction face several issues,such as high costs for attribute extraction,long processing times,unstable accuracy,and poor scalability.To address these problems,this paper proposes an attribute mining technology for access control institutions based on hybrid capsule networks.This technology leverages transfer learning ideas,utilizing Bidirectional Encoder Representations from Transformers(BERT)pre-trained language models to achieve vectorization of unstructured text data resources.Furthermore,we have designed a novel end-to-end parallel hybrid network structure,where the parallel networks handle global and local information features of the text that they excel at,respectively.By employing techniques such as attention mechanisms,capsule networks,and dynamic routing,effective mining of security attributes for access control resources has been achieved.Finally,we evaluated the performance level of the proposed attribute mining method for access control institutions through experiments on the medical referral text resource dataset.The experimental results show that,compared with baseline algorithms,our method adopts a parallel network structure that can better balance global and local feature information,resulting in improved overall performance.Specifically,it achieves a comprehensive performance enhancement of 2.06%to 8.18%in the F1 score metric.Therefore,this technology can effectively provide attribute support for access control of unstructured text big data resources.
基金the National Natural Science Foundation of China(Nos.U22A20523,U23A20242)National Key Research and Development Program of China(No.2021YFD1801000).
文摘Salmonellosis represents a global epidemic,and the emergence of extensively drug-resistant(XDR)Salmonella and its sustained transmission worldwide constitutes a significant public health concern.Flagellum-mediated motility serves as a crucial virulence trait of Salmonella that guides the pathogen toward the epithelial surface,enhancing gut colonization.Artemisia argyit essential oil,a traditional herb extract,demonstrates efficacy in treating inflammationrelated symptoms and diseases;however,its effects on flagellum assembly and expression mechanisms in anti-Salmonella activity remain inadequately explored.This study aimed to elucidate the mechanism by which Artemisia argyit essential oil addresses Salmonella infections.Network pharmacological analysis revealed that Traditional Chinese Medicine(TCM)Artemisia argyit exhibited anti-Salmonella infection potential and inhibited flagellum-dependent motility.The application of Artemisia argyit essential oil induced notable motility defects through the downregulation of flagellar and fimbriae expression.Moreover,it significantly reduced Salmonella-infected cell damage by interfering with flagellum-mediated Salmonella colonization.In vivo studies demonstrated that Artemisia argyit essential oil administration effectively alleviated Salmonella infection symptoms by reducing bacterial loads,inhibiting interleukin-1 beta(IL-1β),IL-6,and tumor necrosis factor-alpha(TNF-α)production,and diminishing pathological injury.Gas chromatography-mass spectrometry(GC-MS)analysis identified forty-three compounds in Artemisia argyit essential oil,with their corresponding targets and active ingredients predicted.Investigation of an in vivo model of Salmonella infection using the active ingredient demonstrated that alpha-cedrene ameliorated Salmonella infection.These findings suggest the potential application of Artemisia argyit essential oil in controlling Salmonella,the predominant food-borne pathogen.
基金co-funded by the China National Nuclear Corporation-State Key Laboratory of Nuclear Resources and Environment(East ChinaUniversity of Technology)Joint Innovation Fund Project(No.2023NRE-LH-08)the Natural Science Foundation of Jiangxi Province,China(No.20252BAC240270)+1 种基金the Funding of National Key Laboratory of Uranium Resources Exploration-Mining and Nuclear Remote Sensing(2025QZ-YZZ-08)the National Major Science and Technology Project on Deep Earth of China(No.2024ZD 1003300)。
文摘Seismic attributes encapsulate substantial reservoir characterization information and can effectively support reservoir prediction.Given the high-dimensional nonlinear between sandbodies and seismic attributes,this study employs the RFECV method for seismic attribute selection,inputting the optimized attributes into a LightGBM model to enhance spatial delineation of sandbody identification.By constructing training datasets based on optimized seismic attributes and well logs,followed by class imbalance correction as input variables for machine learning models,with sandbody probability as the output variable,and employing grid search to optimize model parameters,a high-precision sandbody prediction model was established.Taking the 3D seismic data of Block F3 in the North Sea of Holland as an example,this method successfully depicted the three-dimensional spatial distribution of target formation sandstones.The results indicate that even under strong noise conditions,the multi-attribute sandbody identification method based on LightGBM effectively characterizes the distribution features of sandbodies.Compared to unselected attributes,the prediction results using selected attributes have higher vertical resolution and inter-well conformity,with the prediction accuracy for single wells reaching 80.77%,significantly improving the accuracy of sandbody boundary delineation.
