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Research on the Construction of an Evaluation System for Innovation and Entrepreneurship Capabilities of Normal University Students Based on Factor Analysis Method
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作者 Fang Liu Chi Li Lihua Jia 《Journal of Contemporary Educational Research》 2025年第8期320-327,共8页
Under the National Innovation-Driven Development Strategy,establishing a scientifically sound evaluation system for normal university students’innovation and entrepreneurship capabilities serves as a crucial foundati... Under the National Innovation-Driven Development Strategy,establishing a scientifically sound evaluation system for normal university students’innovation and entrepreneurship capabilities serves as a crucial foundation for optimizing innovation education models and enhancing teacher candidates’comprehensive competencies.Based on existing indicator frameworks,we designed a questionnaire and applied exploratory factor analysis(EFA)to screen indicators,reduce dimensionality,and analyze weighting.This process identified key metrics for evaluating pedagogical students’innovation capacities,ultimately constructing a targeted assessment system for normal university students.The study provides theoretical support for cultivating teacher trainees’innovative capabilities while contributing to the national innovation strategy implementation. 展开更多
关键词 factor analysis Innovation and entrepreneurship capability Indicator system Evaluation system UNIVERSITIES Normal university students
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WPPSI-III in Sudan:Validity,reliability,and confirmatory factor analysis in khartoum kindergarten and primary schools
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作者 Rwaa Omer Ali Ahmed Salaheldin Farah Attallah Bakhiet +2 位作者 Ayman Mohamed Taha Abdelaziz Ahmed FadlAlMawla AbdulRadi Ismael Salamah Albursan 《Journal of Psychology in Africa》 2025年第4期431-439,共9页
The study aims to determine the validity and reliability of the Wechsler Preschool and Primary Scale of Intelligence–Third Edition(WPPSI-III)scores in a sample of kindergarten and lower primary pupils from Khartoum S... The study aims to determine the validity and reliability of the Wechsler Preschool and Primary Scale of Intelligence–Third Edition(WPPSI-III)scores in a sample of kindergarten and lower primary pupils from Khartoum State,Sudan.It also aims to examine whether test’s factor structure in this sample replicated that of the original WPPSI-III.The study sample consisted of 384 kindergarten and primary school children in Khartoum State(females=50%mean age=4.14,SD=1.37),selected using stratified random sampling across its seven localities:Khartoum,Jebel Awliya,Khartoum Bahri,East Nile,Omdurman,Ombada,Karari.For concurrent validation,the children additionally completed the Goodenough Draw-a-Man Test,and the Colored Progressive Matrices.WPPSI-III scores demonstrated high internal consistency across the subtest items.Confirmatory factor analysis indicators for total,verbal,and performance intelligence were all excellent.The scale also showed weak to strong score stability ranging from 0.25(weak)to 0.88(strong)based on the Spearman-Brown equation,0.25 to 0.75 based on the Guttman split-half method.The Cronbach’s alpha coefficient scores ranged from 0.54 to 0.93.The WPPSI-III and Goodenough Draw-a-Man Test scores concurrent validity scores were poor(0.05)to modest(0.31),and while those with the Colored Progressive Matrices test were poor(r=0.04–0.18).Thesefindings provide evidence to suggest that the WPPSI-III is appropriate for research use with kindergarten and lower primary school students in Khartoum State,Sudan. 展开更多
关键词 intelligence tests VaLIDaTION RELIaBILITY primary schools kindergartens confirmatory factor analysis cognitive abilities WPPSI-III SUDaN
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Tumor necrosis factor alpha-induced protein 3:A key biomarker for response to ursodeoxycholic acid in primary biliary cholangitis
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作者 Bo Zang Jia-Xiu Li +8 位作者 Qi-Xuan Liu Yuan Yao Hua Li Yan Wang Ji-Gang Wang Yi-Fei Yang Rui-Wen Liang Xin-Ran Xin Bin Liu 《World Journal of Hepatology》 2025年第7期283-295,共13页
BACKGROUND The pathogenesis of primary biliary cholangitis(PBC)remains unclear.Ursodeoxycholic acid(UDCA)is the only first-line clinical treatment,but approximately 40%of patients exhibit a poor response.AIM To identi... BACKGROUND The pathogenesis of primary biliary cholangitis(PBC)remains unclear.Ursodeoxycholic acid(UDCA)is the only first-line clinical treatment,but approximately 40%of patients exhibit a poor response.AIM To identify novel biomarkers for PBC to predict the efficacy of UDCA and enhance treatment.METHODS Microarray expression profiling datasets were downloaded from the Gene Expression Omnibus and analyzed to identify differentially expressed genes between PBC patients and healthy controls.Immunohistochemistry was performed to validate key genes in liver tissues of the participants.Logistic regression was employed to evaluate prognostic risk factors,receiver operating characteristic curves were used to assess predictive performance,and correlations between key genes and clinicopathological characteristics were analyzed.RESULTS By bioinformatic analysis,13 genes primarily associated with the progression of PBC were identified,and tumor necrosis factor alpha-induced protein 3(TNFAIP3)was selected for further investigation.Then expression of TNFAIP3 in PBC patients was significantly elevated compared to healthy controls on immunohistochemistry(P<0.0001).Multivariate Cox regression analysis indicated that both TNFAIP3 and fatigue were independent risk factors for response to UDCA in PBC patients(P<0.05).The area under the curve for TNFAIP3 and fatigue were 0.691 and 0.704,respectively,while their combination showed a significantly higher area under the curve of 0.848.The expression of TNFAIP3 was also correlated with age,albumin,total bilirubin,alkaline phosphatase and splenomegaly(P<0.05).CONCLUSION TNFAIP3 and fatigue are independent risk factors for response to UDCA in Chinese patients with PBC.TNFAIP3 may be a potential biomarker or therapeutic target for PBC.These findings offer new insights into the pathogenesis of PBC. 展开更多
关键词 Primary biliary cholangitis Bioinformatics analysis Tumor necrosis factor alpha-induced protein 3 Biomarkers PREDICTOR Therapeutic target
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Nursing interventions’impact on cardiovascular complications after gastrointestinal surgery in intensive care unit:Risk factor analysis
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作者 Ling Wang Peng Yang +1 位作者 Xue-Qing He Han Xia 《World Journal of Gastrointestinal Surgery》 2025年第8期133-141,共9页
BACKGROUND Cardiovascular(CV)complications are common in intensive care unit(ICU)patients after gastrointestinal surgery and are associated with increased mortality and prolonged hospital stay.The optimization of post... BACKGROUND Cardiovascular(CV)complications are common in intensive care unit(ICU)patients after gastrointestinal surgery and are associated with increased mortality and prolonged hospital stay.The optimization of postoperative nursing interventions,particularly pain management,is crucial for reducing such complications.AIM To investigate the effects of enhanced recovery nursing on CV complications after gastrointestinal surgery in ICU patients and associated risk factors.METHODS A retrospective analysis was conducted on 78 adult patients who underwent gastrointestinal surgery in the ICU of our hospital between February 2023 and September 2024.Among them,40 patients received standard care(control group),while 38 received enhanced recovery nursing(observation group).We compared the incidence of CV complications and nursing satisfaction between the two groups.Patients were divided into CV complication and non-complication groups based on complication occurrence,and logistic regression analysis was used to identify risk factors.RESULTS In the control and observation groups,the incidence of CV complications was 30.0%(12/40)and 18.4%(7/38),with a nursing satisfaction rate of 70.0%(28/40)and 92.1%(35/38),respectively.The postoperative pain score at 14 days was significantly lower in the observation group(0.27±0.15)compared to the control group(1.65±0.37),with all differences being statistically significant(P<0.05).Univariate analysis indicated significant differences in age,body mass index,hypertension,diabetes,smoking history,history of heart failure,and previous myocardial infarction(P<0.05).Multivariate logistic regression identified heart failure history,previous myocardial infarction,age,hypertension,and diabetes as independent risk factors,with odds ratios of 1.195,1.528,1.062,1.836,and 1.942,respectively(all P<0.05).CONCLUSION Implementing enhanced recovery nursing for ICU patients after gastrointestinal surgery is beneficial in reducing the incidence of CV complications and improving nursing satisfaction. 展开更多
关键词 Enhanced recovery nursing interventions Intensive care unit Gastrointestinal surgery Cardiovascular complications Risk factor analysis
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Factor analysis and machine learning for predicting endpoint carbon content in converter steelmaking
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作者 Lihua Zhao Shuai Yang +3 位作者 Yongzhao Xu Zhongliang Wang Xin Liu Yanping Bao 《International Journal of Minerals,Metallurgy and Materials》 2025年第10期2469-2482,共14页
The endpoint carbon content in the converter is critical for the quality of steel products,and accurately predicting this parameter is an effective way to reduce alloy consumption and improve smelting efficiency.Howev... The endpoint carbon content in the converter is critical for the quality of steel products,and accurately predicting this parameter is an effective way to reduce alloy consumption and improve smelting efficiency.However,most scholars currently focus on modifying methods to enhance model accuracy,while overlooking the extent to which input parameters influence accuracy.To address this issue,in this study,a prediction model for the endpoint carbon content in the converter was developed using factor analysis(FA)and support vector machine(SVM)optimized by improved particle swarm optimization(IPSO).Analysis of the factors influencing the endpoint carbon content during the converter smelting process led to the identification of 21 input parameters.Subsequently,FA was used to reduce the dimensionality of the data and applied to the prediction model.The results demonstrate that the performance of the FA-IPSO-SVM model surpasses several existing methods,such as twin support vector regression and support vector machine.The model achieves hit rates of 89.59%,96.21%,and 98.74%within error ranges of±0.01%,±0.015%,and±0.02%,respectively.Finally,based on the prediction results obtained by sequentially removing input parameters,the parameters were classified into high influence(5%-7%),medium influence(2%-5%),and low influence(0-2%)categories according to their varying degrees of impact on prediction accuracy.This classi-fication provides a reference for selecting input parameters in future prediction models for endpoint carbon content. 展开更多
关键词 CONVERTER endpoint carbon content parameter classification factor analysis improved particle swarm optimization support vector machine
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Brain-derived neurotrophic factor alterations and cognitive decline in schizophrenia:Implications for early intervention
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作者 Uchenna E Okpete Haewon Byeon 《World Journal of Psychiatry》 SCIE 2025年第1期189-193,共5页
This manuscript explores the recent study by Cui et al which assessed the interplay between inflammatory cytokines and brain-derived neurotrophic factor(BDNF)levels in first-episode schizophrenia patients.The study re... This manuscript explores the recent study by Cui et al which assessed the interplay between inflammatory cytokines and brain-derived neurotrophic factor(BDNF)levels in first-episode schizophrenia patients.The study revealed that higher levels of interleukin-6 and tumor necrosis factor-αcorrelated with reduced BDNF levels and poorer cognitive performance.Schizophrenia is a severe psy-chiatric disorder impacting approximately 1%of the global population,charac-terized by positive symptoms(hallucinations and delusions),negative symptoms(diminished motivation and cognitive impairments)and disorganized thoughts and behaviors.Emerging research highlights the role of BDNF as a potential biomarker for early diagnosis and therapeutic targeting.The findings from Cui et al’s study suggest that targeting neuroinflammation and enhancing BDNF levels may improve cognitive outcomes.Effective treatment approaches involve a com-bination of pharmacological and non-pharmacological interventions tailored to individual patient needs.Hence,monitoring cognitive and neuroinflammatory markers is essential for improving patient outcomes and quality of life.Conse-quently,this manuscript highlights the need for an integrated approach to schizo-phrenia management,considering both clinical symptoms and underlying neuro-biological changes. 展开更多
关键词 SCHIZOPHRENIa Cognitive impairment Neuroinflammatory markers Brain-derived neurotrophic factor INTERLEUKIN Personalized treatment
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Estimating Crop and Reference Evapotranspiration and Crop Factor and Some Growth Indicators for Wheat and Barley in Dhi Qar Governorate Using the CropWat Program
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作者 Yahya Ajib Oudah Al-Shami Muntadher Hammadi Al-Budeiri 《Journal of Environmental & Earth Sciences》 2025年第1期225-235,共11页
Information about the average water consumption or evapotranspiration of crops is the basis for scheduling irrigation and the water requirements of plants,and choosing the appropriate crops for the region in light.Thi... Information about the average water consumption or evapotranspiration of crops is the basis for scheduling irrigation and the water requirements of plants,and choosing the appropriate crops for the region in light.This experiment was carried out to evaluate and calculate the ability of the CropWat program to estimate evapotranspiration rates,and plant consumptive water use for strategic crops in Iraq,including wheat and barley in Dhi Qar Governorate.The results of the study showed that the maximum root depth ranged between 1.20 m,and 1.10 m in the distance between the vegetative growth and flowering stages for wheat and barley crops,respectively.It was also noted that the crop evapotranspiration(ETc)values decreased at the beginning of the growing season,ranging from 0.79 mm day–1 to 1.57 mm day–1 for wheat and barley crops,respectively.Then,the values increased with the progress of the growing season and the increase of the vegetative mass of the plants,reaching 3.72 mm day–1 and 3.46 mm day–1 for wheat and barley crops,respectively.The reference evapotranspiration(ETo)values were also low in the first months of the year and were around 2.1 mm day–1 at the beginning,then gradually increased with the progress of the months of the year,reaching the maximum reference evapotranspiration values of 10.5 mm day–1 in the seventh month,and then the values decreased at the end of the season for wheat and barley crops. 展开更多
关键词 EVaPOTRaNSPIRaTION Irrigation Scheduling Water Consumption Crop factor
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Association between anxiety-depression status and psychological resilience in patients with Parkinson’s disease:A risk factor analysis
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作者 Yu-Xiang Cai Yan-Jin Wang Jian Liu 《World Journal of Psychiatry》 2025年第8期235-243,共9页
BACKGROUND Parkinson’s disease(PD)is commonly accompanied by neuropsychiatric symptoms,such as anxiety and depression,which can significantly impair patients’cognitive function,social engagement,and quality of life.... BACKGROUND Parkinson’s disease(PD)is commonly accompanied by neuropsychiatric symptoms,such as anxiety and depression,which can significantly impair patients’cognitive function,social engagement,and quality of life.Psychological resilience has been identified as a critical factor influencing the severity of these emotional disturbances.AIM To explore the relationship between anxiety-depression status and psychological resilience in patients with PD and to identify associated risk factors.METHODS A total of 188 consecutive patients with PD treated at our institution between January 2023 and December 2024 were enrolled.Anxiety was assessed using the Beck Anxiety Inventory(BAI),depressive symptoms were measured with the Geriatric Depression scale(GDS),and psychological resilience was evaluated using the Connor-Davidson Resilience Scale(CD-RISC).Pearson correlation analysis was conducted to examine the relationships among these variables.Furthermore,clinical and sociodemographic characteristics-including gender,age,disease duration,disease severity,comorbidity burden,marital status,gross monthly household income,and educational attainment-were analyzed using univariate analysis and multivariate binary logistic regression to identify the factors influencing psychological resilience.RESULTS The mean BAI score was 22.05±10.52(indicative of moderate anxiety),the mean GDS score was 15.81±5.49(mild depression),and the mean CD-RISC score was 51.03±9.32(moderate resilience).Correlational analysis revealed an inverse relationship between psychological resilience and both anxiety and depression scores,whereas anxiety and depression were positively correlated.Univariate analysis identified disease duration,disease severity,comorbidity burden,gross monthly household income,educational attainment,BAI scores,and GDS scores as variables significantly associated with psychological resilience.Multivariate regression analysis showed that advanced disease stage,a high comorbidity burden,lower gross monthly household income,lower educational attainment,and elevated anxiety and depression scores were independent predictors of reduced psychological resilience.CONCLUSION The findings highlight the prevalence of anxiety and depression among patients with PD and the presence of moderate psychological resilience.Patients with advanced disease stages,multiple comorbidities,lower socioeconomic status,limited education,and higher anxiety and depression scores are particularly vulnerable to diminished psychological resilience. 展开更多
关键词 Parkinson’s disease aNXIETY DEPRESSION Psychological resilience Risk factors
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A bibliometric analysis of the relationship between the brain-derived neurotrophic factor and cognitive dysfunction due to alcohol dependence syndrome
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作者 Lin He Yan Deng +3 位作者 Xin Lyu Rongzhen Cui Jie Han Le Zhang 《Journal of Translational Neuroscience》 2025年第1期30-38,共9页
Objective:To evaluate the global liter-ature output on the relationship between brain-derived neurotrophic factor(BDNF)and cognitive function in al-cohol dependence syndrome using bibliometric methods and explore the ... Objective:To evaluate the global liter-ature output on the relationship between brain-derived neurotrophic factor(BDNF)and cognitive function in al-cohol dependence syndrome using bibliometric methods and explore the status and trends in this field.Method:The literature on the application of BDNF in cognitive impairment caused by alcohol dependence syndrome published from 1995 to 2023 were retrieved from Web of Science,and the relevant information(publication characteristics,country and institution,author,number of publications,citation,journal and research field,corresponding author,key words,etc.)was recorded.The bibliometrix R package was used for quantitative and qualitative analysis of publication output and author contributions.Result:A total of 99 articles were included.The overall number of publications in this field has increased over time.The countries and institutions that contributed the most to the field were the United States and the Academy of Medical Sciences of Iranian universities,respectively.Most of the authors were from the United States,followed by Spain,China,and Iran.Ceccanti M,Fiore M were the most productive authors.Publications with Ceccanti M had the highest h-index.The most cited reference author is Haenninen H(227 citations),and the number one published journal is Alcohol.Most articles were published in 2020(n=12)and 2022(n=11),followed by 2019 and 2021(n=10).The corresponding author has the largest number of publications from the United States,and more publications from a single country tend to have more cooperation from other countries.BDNF and alcohol appeared more frequently in various keyword clouds.However,significant differences remained in the author keyword cloud,keyword plus word cloud,and paper topic word cloud.Conclusion:BDNF has great potential in the application of cognitive dysfunction caused by alcohol dependence syndrome.Bibliometric methods and data visualization techniques can help understand the current state of research progress and enable relevant scholars and practitioners to predict the development trends in this field. 展开更多
关键词 alcohol dependence syndrome cognitive impairment brain-derived neurotrophic factor bibliometric analysis
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Geostatistics-block-based characterization of the relationship between rock mass quality and powder factor and its application on open-pit limit optimization
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作者 Jinduo Li Tianhong Yang +6 位作者 Feiyue Liu Shigui Du Wenxue Deng Yong Zhao Honglei Liu Leilei Niu Zhiqiang Xu 《International Journal of Mining Science and Technology》 2025年第1期135-147,共13页
Accurately predicting the powder factor during blasting is essential for sustainable production planning in low-grade mines.This research presents a method for predicting powder factor based on the heterogeneity of ro... Accurately predicting the powder factor during blasting is essential for sustainable production planning in low-grade mines.This research presents a method for predicting powder factor based on the heterogeneity of rock mass rating(RMR).Considering a low-grade metal mine as an example,this study exploited geostatistical methods to obtain independent RMR for each block unit.A three-dimensional spatial distribution model for the powder factor was developed on the basis of the relationships between the RMR and the powder factor.Subsequently,models for blasting cost and mining value were built and employed to optimize the open-pit limit.The multi-variable model based on the RMR performed well in predicting the powder factor,achieving a correlation coefficient of 0.88(root mean square error of 4.3)and considerably outperforming the uniaxial compressive strength model.After model optimization,the mean size and standard deviation of the fragments in the blast pile decreased by 8.5%and 35.1%,respectively,whereas the boulder yield and its standard deviation decreased by 33.3%and 58.8%,respectively.Additionally,optimizing the open-pit limit using this method reduced the amount of rock,increased the amount of ore,and lowered blasting costs,thereby enhancing the economic efficiency of the mine.This study provides valuable insights for blasting design and mining decisions,demonstrating the advantages and potential applications of powder factor prediction based on the heterogeneity of rock mass quality. 展开更多
关键词 Geostatistics method Powder factor Open-pit limit optimization Blasting cost Rock mass quality
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Ultra-high quality factor and ultra-high accelerating gradient achievements in a 1.3 GHz continuous wave cryomodule
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作者 Jin-Fang Chen Yue Zong +35 位作者 Xiao-Yun Pu Sheng-Wang Xiang Shuai Xing Zheng Li Xu-Ming Liu Yan-Fei Zhai Xiao-Wei Wu Yong-Zhou He Ling-Ling Gong Ji-Dong Zhang Shan-Shan Cao Wen-Ding Fang Bin-Tuan Zhang Kai Xu Yi-Bo Yu Guang-Hua Chen Li-Jun Lu Ya-Wei Huang Shen-Jie Zhao Hong-Tao Hou Zhen-Yu Ma Ye-Liang Zhao Xiang Zheng Jiu-Ce Sun Sen Sun Zhi-Qiang Jiang Yu-Bin Zhao Meng Zhang Ying-Bing Yan Yi-Yong Liu Qiang Gu Bo Liu Li-Xin Yin Dong Wang Hai-Xiao Deng Zhen-Tang Zhao 《Nuclear Science and Techniques》 2025年第2期18-26,共9页
We report the world-leading performance of a 1.3 GHz cryomodule equipped with eight 9-cell superconducting radio-frequency cavities that underwent a medium-temperature furnace baking process.During continuous wave hor... We report the world-leading performance of a 1.3 GHz cryomodule equipped with eight 9-cell superconducting radio-frequency cavities that underwent a medium-temperature furnace baking process.During continuous wave horizontal testing,these cavities achieved unprecedented average intrinsic quality factors of 4.0×10^(10)at 20 MV/m and 3.2×10^(10)at 29 MV/m,with no instances of field emission.The cryomodule demonstrates near-complete preservation of ultra-high quality factors and ultra-high accelerating gradients from vertical to horizontal testing,marking a significant milestone in continuous-wave superconducting radio-frequency accelerator technology.This letter presents the cryomodule development experience,includ-ing cavity preparation,cryomodule assembly,degaussing,fast cooldown,and performance testing. 展开更多
关键词 SRF cryomodule Mid-T baking High quality factor High accelerating gradient
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Impact of targeting the platelet-activating factor and its receptor in cancer treatment
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作者 Kimya Qaderi Arvin Shahmoradi +1 位作者 Anita Thyagarajan Ravi P.Sahu 《Military Medical Research》 2025年第10期1617-1644,共28页
The lipid mediator platelet-activating factor(PAF)and its receptor(PAFR)signaling play critical roles in a wide range of physiological and pathophysiological conditions,including cancer growth and metastasis.The abili... The lipid mediator platelet-activating factor(PAF)and its receptor(PAFR)signaling play critical roles in a wide range of physiological and pathophysiological conditions,including cancer growth and metastasis.The ability of PAFR to interact with other oncogenic signaling cascades makes it a promising target for cancer treatment.Moreover,numerous natural and synthetic compounds,characterized by diverse pharmacological activities such as anti-inflammatory and anti-tumor effects,have been explored for their potential as PAF and PAFR antagonists.In this review,we provide comprehensive evidence regarding the PAF/PAFR signaling pathway,highlighting the effectiveness of various classes of PAF and PAFR inhibitors and antagonists across multiple cancer models.Notably,the synergistic effects of PAF and PAFR antagonists in enhancing the efficacy of chemotherapy and radiation therapy in several experimental cancer models are also discussed.Overall,the synthesis of literature review indicates that targeting the PAF/PAFR axis represents a promising approach for cancer treatment and also exerts synergy with chemotherapy and radiation therapy. 展开更多
关键词 Platelet-activating factor(PaF) Platelet-activating factor-receptor(PaFR) aNTaGONISTS INHIBITORS Cancer Cell signaling pathways Radiation therapy CHEMOTHERaPY
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The effective potential for conformal factor and GL(4)symmetry
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作者 Ichiro Oda 《Communications in Theoretical Physics》 2025年第1期101-105,共5页
We revisit the issue of whether the effective potential for the conformal factor of the metric,which is generated by quantized matter fields,possesses a non-vanishing vacuum expectation value(VEV)or not.We prove that ... We revisit the issue of whether the effective potential for the conformal factor of the metric,which is generated by quantized matter fields,possesses a non-vanishing vacuum expectation value(VEV)or not.We prove that the effective potential has a vanishing vacuum expectation value on the basis of a global GL(4)symmetry.We also account for why there seems to be two different effective potentials for the conformal factor in a theory,one of which gives rise to a vanishing VEV for the conformal factor,whereas the other has a non-vanishing VEV. 展开更多
关键词 conformal factor GL(4) symmetry effective potential
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HLA-C^(*)03:04:01 and HLA-B^(*)15:18:01 but not HLA-DQA1^(*)05 associated with anti-tumor necrosis factor antibody formation in Taiwan Region of China inflammatory bowel disease patients
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作者 Meng-Tzu Weng Chi-Yuan Yao +6 位作者 Wei-Chen Lin Sheng-Kai Lai Chien-Chih Tung Chun-Ying Wang Jau-Min Wong Pei-Lung Chen Shu-Chen Wei 《World Journal of Gastroenterology》 2025年第41期97-107,共11页
BACKGROUND Anti-drug antibodies(ADAs)can reduce the effectiveness of biologics.While human leukocyte antigen(HLA)-DQA1*05 allele is linked to ADA formation in European Crohn’s disease patients,its relevance in non-Eu... BACKGROUND Anti-drug antibodies(ADAs)can reduce the effectiveness of biologics.While human leukocyte antigen(HLA)-DQA1*05 allele is linked to ADA formation in European Crohn’s disease patients,its relevance in non-European populations remains unclear.AIM To investigate HLA genotypes associated with the development of ADAs in Taiwan Region of China inflammatory bowel disease(IBD)patients treated with biologics.METHODS In this multicenter study,IBD patients treated with anti-tumor necrosis factor(TNF),anti-integrin,or anti-interleukin(IL)-12/23 therapies from April 2022 to June 2024 were enrolled.All participants underwent next-generation sequencing for HLA genotyping.ADA levels were measured via enzyme linked immunosorbent assay.HLA allele frequencies were compared between ADA-positive and ADA-negative groups,and against general Taiwan Region of China population data.RESULTS Ninety-five IBD patients were included:58 received anti-TNF therapy(38 infliximab,20 adalimumab),27 antiintegrin,and 10 anti-IL-12/23.ADAs occurred only in the anti-TNF group(n=22):19 infliximab(50%)and 3 adalimumab(15%).No ADAs developed in patients on anti-integrin or anti-IL-12/23 agents.HLA-C*03:04:01 was significantly associated with anti-infliximab ADAs(31.6%vs 0%,P=0.02),and HLA-B*15:18:01 with anti-adalimumab ADAs(66.7%vs 0%,P=0.016).HLA-DQA1*05 was not associated with ADA formation.Frequencies of HLA-C*03:04:01(8.4%vs 10.5%)and HLA-B*15:18:01(1.6%vs 0.6%)in IBD patients were comparable to those in the general population.ADA titers were inversely correlated with serum drug levels.CONCLUSION In Taiwan Region of China IBD patients,HLA-C*03:04:01 and HLA-B*15:18:01 were significantly associated with ADA development to infliximab and adalimumab,respectively.HLA-DQA1*05 was not predictive,highlighting ethnic differences in genetic predisposition to immunogenicity. 展开更多
关键词 Inflammatory bowel disease Crohn’s disease Ulcerative colitis anti-tumor necrosis factor therapy anti-drug antibodies Human leukocyte antigen genotype
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SP7 transcription factor ameliorates bone defect healing in low-density lipoprotein receptor-related protein 5(LRP5)-dependent osteoporosis mice
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作者 Yue XI Qifeng JIANG +7 位作者 Wei DAI Chaozhen CHEN Yang WANG Xiaoyan MIAO Kaichen LAI Zhiwei JIANG Guoli YANG Ying WANG 《Journal of Zhejiang University-Science B(Biomedicine & Biotechnology)》 2025年第3期254-268,共15页
Loss-of-function variants of low-density lipoprotein receptor-related protein 5(LRP5)can lead to reduced bone formation,culminating in diminished bone mass.Our previous study reported transcription factor osterix(SP7)... Loss-of-function variants of low-density lipoprotein receptor-related protein 5(LRP5)can lead to reduced bone formation,culminating in diminished bone mass.Our previous study reported transcription factor osterix(SP7)-binding sites on the LRP5 promoter and its pivotal role in upregulating LRP5 expression during implant osseointegration.However,the potential role of SP7 in ameliorating LRP5-dependent osteoporosis remained unknown.In this study,we used mice with a conditional knockout(c KO)of LRP5 in mature osteoblasts,which presented decreased osteogenesis.The in vitro experimental results showed that SP7 could promote LRP5 expression,thereby upregulating the osteogenic markers such as alkaline phosphatase(ALP),Runt-related transcription factor 2(Runx2),andβ-catenin(P<0.05).For the in vivo experiment,the SP7 overexpression virus was injected into a bone defect model of LRP5 c KO mice,resulting in increased bone mineral density(BMD)(P<0.001)and volumetric density(bone volume(BV)/total volume(TV))(P<0.001),and decreased trabecular separation(Tb.Sp)(P<0.05).These data suggested that SP7 could ameliorate bone defect healing in LRP5 c KO mice.Our study provides new insights into potential therapeutic opportunities for ameliorating LRP5-dependent osteoporosis. 展开更多
关键词 Gene therapy Low-density lipoprotein receptor-related protein 5(LRP5) Transcription factor osterix(SP7) OSTEOPOROSIS Defect healing
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Atractylenolide Ⅰ ameliorates post-infectious irritable bowel syndrome by inhibiting the polymerase Ⅰ and transcript release factor and c-Jun N-terminal kinase/inducible nitric oxide synthase pathway
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作者 YUAN Jianan CHENG Kunming +4 位作者 LI Chao ZHANG Xiang DING Zeyu LI Bing ZHENG Yongqiu 《Journal of Traditional Chinese Medicine》 2025年第1期57-65,共9页
OBJECTIVE:To explore the therapeutic effect and target of atractylenolide I(AT-I)on post-infectious irritable bowel syndrome(PI-IBS)rats.METHODS:Therefore,the preliminarily mechanism of AT-I in anti-PI-IBS were first ... OBJECTIVE:To explore the therapeutic effect and target of atractylenolide I(AT-I)on post-infectious irritable bowel syndrome(PI-IBS)rats.METHODS:Therefore,the preliminarily mechanism of AT-I in anti-PI-IBS were first predicted by network pharmacology and molecular docking,then the possible signaling pathways were systematically analyzed.Finally,the potential therapeutic targets and possible signaling pathways of AT-I on PI-IBS in Sprague-Dawley(SD)rat model were verified by experiments.RESULTS:AT-I could alleviate PI-IBS symptoms and reduce the expression of tumor necrosis factorα,interleukin-6 and Interferon-gamma in PI-IBS SD rat model and inhibit the c-Jun N-terminal kinase/inducible nitric oxide synthase(JNK/iNOS)pathway.Notably,AT-I treatment could inhibit the overexpression of polymeraseⅠand transcript release factor(PTRF).CONCLUSION:AT-I could alleviate PI-IBS symptoms through downregulation of PTRF and inhibiting the JNK/iNOS pathway.This study not only provides a scientific basis to clarify the anti-PI-IBS effect of AT-I and its mechanism but also suggests a novel promising therapeutic strategy to treat the PI-IBS. 展开更多
关键词 atractylenolideⅠ post-infectious irritable bowel syndrome polymeraseⅠand transcript release factor network pharmacology MaP kinase signaling system nitric oxide synthase typeⅡ
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Optimal Shape Factor and Fictitious Radius in the MQ-RBF:Solving Ill-Posed Laplacian Problems
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作者 Chein-Shan Liu Chung-Lun Kuo Chih-Wen Chang 《Computer Modeling in Engineering & Sciences》 SCIE EI 2024年第6期3189-3208,共20页
To solve the Laplacian problems,we adopt a meshless method with the multiquadric radial basis function(MQRBF)as a basis whose center is distributed inside a circle with a fictitious radius.A maximal projection techniq... To solve the Laplacian problems,we adopt a meshless method with the multiquadric radial basis function(MQRBF)as a basis whose center is distributed inside a circle with a fictitious radius.A maximal projection technique is developed to identify the optimal shape factor and fictitious radius by minimizing a merit function.A sample function is interpolated by theMQ-RBF to provide a trial coefficient vector to compute the merit function.We can quickly determine the optimal values of the parameters within a preferred rage using the golden section search algorithm.The novel method provides the optimal values of parameters and,hence,an optimal MQ-RBF;the performance of the method is validated in numerical examples.Moreover,nonharmonic problems are transformed to the Poisson equation endowed with a homogeneous boundary condition;this can overcome the problem of these problems being ill-posed.The optimal MQ-RBF is extremely accurate.We further propose a novel optimal polynomial method to solve the nonharmonic problems,which achieves high precision up to an order of 10^(−11). 展开更多
关键词 Laplace equation nonharmonic boundary value problem Ill-posed problem maximal projection optimal shape factor and fictitious radius optimal MQ-RBF optimal polynomial method
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A State-Migration Particle Swarm Optimizer for Adaptive Latent Factor Analysis of High-Dimensional and Incomplete Data
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作者 Jiufang Chen Kechen Liu +4 位作者 Xin Luo Ye Yuan Khaled Sedraoui Yusuf Al-Turki MengChu Zhou 《IEEE/CAA Journal of Automatica Sinica》 SCIE EI CSCD 2024年第11期2220-2235,共16页
High-dimensional and incomplete(HDI) matrices are primarily generated in all kinds of big-data-related practical applications. A latent factor analysis(LFA) model is capable of conducting efficient representation lear... High-dimensional and incomplete(HDI) matrices are primarily generated in all kinds of big-data-related practical applications. A latent factor analysis(LFA) model is capable of conducting efficient representation learning to an HDI matrix,whose hyper-parameter adaptation can be implemented through a particle swarm optimizer(PSO) to meet scalable requirements.However, conventional PSO is limited by its premature issues,which leads to the accuracy loss of a resultant LFA model. To address this thorny issue, this study merges the information of each particle's state migration into its evolution process following the principle of a generalized momentum method for improving its search ability, thereby building a state-migration particle swarm optimizer(SPSO), whose theoretical convergence is rigorously proved in this study. It is then incorporated into an LFA model for implementing efficient hyper-parameter adaptation without accuracy loss. Experiments on six HDI matrices indicate that an SPSO-incorporated LFA model outperforms state-of-the-art LFA models in terms of prediction accuracy for missing data of an HDI matrix with competitive computational efficiency.Hence, SPSO's use ensures efficient and reliable hyper-parameter adaptation in an LFA model, thus ensuring practicality and accurate representation learning for HDI matrices. 展开更多
关键词 Data science generalized momentum high-dimensional and incomplete(HDI)data hyper-parameter adaptation latent factor analysis(LFa) particle swarm optimization(PSO)
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Development of Two-Factor Authentication to Mitigate Phishing Attack
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作者 Varun Dixit Davinderjit Kaur 《Journal of Software Engineering and Applications》 2024年第11期787-802,共16页
The two-factor authentication mechanism is gaining popularity as more people are becoming aware of the need to secure their identities. In the current form, existing 2FA systems are defenseless against phishing attack... The two-factor authentication mechanism is gaining popularity as more people are becoming aware of the need to secure their identities. In the current form, existing 2FA systems are defenseless against phishing attacks. They do not provide any visual indicator to the user to check the website’s validity before logging in during phishing attacks. This exposes the user’s password during the phishing attack. Two-factor authentication needs to be enhanced to provide a mechanism to detect phishing attacks without adding a significant burden on the user. This research paper will propose a novel 2-FA TOTP mechanism to provide a subconscious indicator during a phishing attack. In comparison, the new proposed novel approach provides better security against phishing attack. Lastly, the mathematical analysis is performed to understand the TOTP variance and validate the security considerations against the existing 2FA systems with respect to adversary attack. 展开更多
关键词 Two factor authentication 2Fa Phishing attack Fixed 2Fa TOTP HMaC
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Electron G-Factor Anomaly and the Charge Thickness
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作者 Arlen Young 《Journal of Modern Physics》 2024年第4期435-447,共13页
The electron g-factor relates the magnetic moment to the spin angular momentum. It was originally theoretically calculated to have a value of exactly 2. Experiments yielded a value of 2 plus a very small fraction, ref... The electron g-factor relates the magnetic moment to the spin angular momentum. It was originally theoretically calculated to have a value of exactly 2. Experiments yielded a value of 2 plus a very small fraction, referred to as the g-factor anomaly. This anomaly has been calculated theoretically as a power series of the fine structure constant. This document shows that the anomaly is the result of the electron charge thickness. If the thickness were to be zero, g = 2 exactly, and there would be no anomaly. As the thickness increases, the anomaly increases. An equation relating the g-factor and the surface charge thickness is presented. The thickness is calculated to be 0.23% of the electron radius. The cause of the anomaly is very clear, but why is the charge thickness greater than zero? Using the model of the interior structure of the electron previously proposed by the author, it is shown that the non-zero thickness, and thus the g-factor anomaly, are due to the proposed positive charge at the electron center and compressibility of the electron material. The author’s previous publication proposes a theory for splitting the electron into three equal charges when subjected to a strong external magnetic field. That theory is revised in this document, and the result is an error reduced to 0.4% in the polar angle where the splits occur and a reduced magnetic field required to cause the splits. 展开更多
关键词 Electron G-factor anomaly Electron Charge Thickness Electron Positive Charge Electron Mass Thickness Electron Fractionalization Splitting the Electron Electron Compressibility factor
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