This article will deal with Resultative Construction syntactically.First of all,the Unaccusative Hypothesis will be introduced,and the ideas of different scholars(mainly Levin and Rappaport) towards the question--whet...This article will deal with Resultative Construction syntactically.First of all,the Unaccusative Hypothesis will be introduced,and the ideas of different scholars(mainly Levin and Rappaport) towards the question--whether the resultative construction can serve as diagnostic test to tell unergative verbs and unaccusative verbs apart--will be presented.The second focus of the article is about the differences that tell resultative constructions apart from depicitive construction and secondary predication construction.展开更多
BACKGROUND Ampullary adenocarcinoma is a rare malignant tumor of the gastrointestinal tract.Currently,only a few cases have been reported,resulting in limited information on survival.AIM To develop a dynamic nomogram ...BACKGROUND Ampullary adenocarcinoma is a rare malignant tumor of the gastrointestinal tract.Currently,only a few cases have been reported,resulting in limited information on survival.AIM To develop a dynamic nomogram using internal and external validation to predict survival in patients with ampullary adenocarcinoma.METHODS Data were sourced from the surveillance,epidemiology,and end results stat database.The patients in the database were randomized in a 7:3 ratio into training and validation groups.Using Cox regression univariate and multivariate analyses in the training group,we identified independent risk factors for overall survival and cancer-specific survival to develop the nomogram.The nomogram was validated with a cohort of patients from the First Affiliated Hospital of the Army Medical University.RESULTS For overall and cancer-specific survival,12(sex,age,race,lymph node ratio,tumor size,chemotherapy,surgical modality,T stage,tumor differentiation,brain metastasis,lung metastasis,and extension)and 6(age;surveillance,epidemiology,and end results stage;lymph node ratio;chemotherapy;surgical modality;and tumor differentiation)independent risk factors,respectively,were incorporated into the nomogram.The area under the curve values at 1,3,and 5 years,respectively,were 0.807,0.842,and 0.826 for overall survival and 0.816,0.835,and 0.841 for cancer-specific survival.The internal and external validation cohorts indicated good consistency of the nomogram.CONCLUSION The dynamic nomogram offers robust predictive efficacy for the overall and cancer-specific survival of ampullary adenocarcinoma.展开更多
Journal of Future Foods(ISSN 2772-5669.Owner:Bejjing Academy of Food Sciences.Production and Hosting:Elsevier B.V.on bchalf of KcAi Communications Co,Ltd.)is an intecrnational,pcer-reviewed open access journal bclongi...Journal of Future Foods(ISSN 2772-5669.Owner:Bejjing Academy of Food Sciences.Production and Hosting:Elsevier B.V.on bchalf of KcAi Communications Co,Ltd.)is an intecrnational,pcer-reviewed open access journal bclonging to the disciplinc of food scicnce and technology.The aim of the journal is to report latcst rescarch results of high-tcch in food science.We welcome submissions that drive the ficld of food science towards whole food nutrition,intelligencc and high technology.展开更多
Retrieval analysis in total knee arthroplasty(TKA)has been little studied in the literature.A narrative review of the literature to understand the current importance of retrieval analysis in TKA has been conducted.On ...Retrieval analysis in total knee arthroplasty(TKA)has been little studied in the literature.A narrative review of the literature to understand the current importance of retrieval analysis in TKA has been conducted.On August 27,2024,a literature search was performed in PubMed using“TKA retrieval analysis”as keywords.A total of 160 articles were found,of which only 19 were analyzed because they were directly related to the subject of this article.Rotating-platform(mobile-bearing)TKA has no surface damage advantage over fixed-bearing TKA.TKAs with central locking mechanisms are more prone to debond from the cement mantle.No major wear of the polyethylene(PE)component in TKA using oxidized zirconium components occurs.Femoral components of cobalt-chromium roughen more than oxidized zirconium femoral components.The use of a polished tibial tray over an unpolished design is advised.At short-run assessment(15 months on average),antioxidant-stabilized highly crosslinked PE components are not clinically different in surface damage,density of crosslinking,or oxidation compared to standard remelted highly crosslinked PE components.A correlation between implant position and PE component surface damage has been reported.It shows the importance of optimizing component position to reduce PE component damage.Contemporary knee tumor megaendoprostheses show notable volumetric metal wear originated at the rotating hinge.Retrieval analysis in TKA renders relevant data on how different prosthetic designs described in the literature perform.Such information can help to improve future prosthetic designs to increase prosthetic survival.展开更多
Types of paper Research Article A complete report on original research.A clear structure is required,including introduction,material and methods,results and discussion,conclusions generally.
Article Categories⋅Research article is a complete academic investigation that covers a significant advance in a specialty.It usually includes a structured abstract under 300 words,an introduction,sections with heading...Article Categories⋅Research article is a complete academic investigation that covers a significant advance in a specialty.It usually includes a structured abstract under 300 words,an introduction,sections with headings of Materials and Methods,Results,and Discussion,and References.Meta-analyses are published as original articles as well.The full text is about 3500 words and the figures and tables need to be kept under 7 items.展开更多
This study investigates the dynamics of pneumococcal pneumonia using a novel fractal-fractional Susceptible-Carrier-Infected-Recovered model formulated with the Atangana-Baleanu in Caputo(ABC)sense.Unlike traditional ...This study investigates the dynamics of pneumococcal pneumonia using a novel fractal-fractional Susceptible-Carrier-Infected-Recovered model formulated with the Atangana-Baleanu in Caputo(ABC)sense.Unlike traditional epidemiological models that rely on classical or Caputo fractional derivatives,the proposed model incorporates nonlocal memory effects,hereditary properties,and complex transmission dynamics through fractalfractional calculus.The Atangana-Baleanu operator,with its non-singular Mittag-Leffler kernel,ensures a more realistic representation of disease progression compared to classical integer-order models and singular kernel-based fractional models.The study establishes the existence and uniqueness of the proposed system and conducts a comprehensive stability analysis,including local and global stability.Furthermore,numerical simulations illustrate the effectiveness of the ABC operator in capturing long-memory effects and nonlocal interactions in disease transmission.The results provide valuable insights into public health interventions,particularly in optimizing vaccination strategies,treatment approaches,and mitigation measures.By extending epidemiological modeling through fractal-fractional derivatives,this study offers an advanced framework for analyzing infectious disease dynamics with enhanced accuracy and predictive capabilities.展开更多
The shear wave(S-wave)velocity is a critical rock elastic parameter in shale reservoirs,especially for evaluating shale fracability.To effectively supplement S-wave velocity under the condition of no actual measuremen...The shear wave(S-wave)velocity is a critical rock elastic parameter in shale reservoirs,especially for evaluating shale fracability.To effectively supplement S-wave velocity under the condition of no actual measurement data,this paper proposes a physically-data driven method for the S-wave velocity prediction in shale reservoirs based on the class activation mapping(CAM)technique combined with a physically constrained two-dimensional Convolutional Neural Network(2D-CNN).High-sensitivity log curves related to S-wave velocity are selected as the basis from the data sensitivity analysis.Then,we establish a petrophysical model of complex multi-mineral components based on the petrophysical properties of porous medium and the Biot-Gassmann equation.This model can help reduce the dispersion effect and constrain the 2D-CNN.In deep learning,the 2D-CNN model is optimized using the Adam,and the class activation maps(CAMs)are obtained by replacing the fully connected layer with the global average pooling(GAP)layer,resulting in explainable results.The model is then applied to wells A,B1,and B2 in the southern Songliao Basin,China and compared with the unconstrained model and the petrophysical model.The results show higher prediction accuracy and generalization ability,as evidenced by correlation coefficients and relative errors of 0.98 and 2.14%,0.97 and 2.35%,0.96 and 2.89%in the three test wells,respectively.Finally,we present the defined C-factor as a means of evaluating the extent of concern regarding CAMs in regression problems.When the results of the petrophysical model are added to the 2D feature maps,the C-factor values are significantly increased,indicating that the focus of 2D-CNN can be significantly enhanced by incorporating the petrophysical model,thereby imposing physical constraints on the 2D-CNN.In addition,we establish the SHAP model,and the results of the petrophysical model have the highest average SHAP values across the three test wells.This helps to assist in proving the importance of constraints.展开更多
Sleep is an indispensable part of life−its deficiency has significant implications for overall health and wellbeing[1].In today’s fast-paced society,sleep loss from either stressful or non-stressful origins has becom...Sleep is an indispensable part of life−its deficiency has significant implications for overall health and wellbeing[1].In today’s fast-paced society,sleep loss from either stressful or non-stressful origins has become prevalent.Specifically,active sleep deprivation(ASD),resulting from extended use of smartphones and other recreational activities,has risen as a global health issue.Clinical research has underscored a strong correlation between chronic pain and inadequate sleep[2].The relationship between pain and sleep is reciprocal:pain disturbs sleep,while poor sleep quality,in turn,reduces pain tolerance and exacerbates spontaneous pain sensations[3].While these interplays are well-documented in cases of passive sleep deprivation(PSD)associated with external pressures or illnesses,understanding how and which regions of the brain collaborate to recalibrate the intricate neural circuitry governing pain perception during ASD remains a crucial yet unresolved frontier.展开更多
BACKGROUND Stage IV pancreatic cancer(PC)has a poor prognosis and lacks individualized prognostic tools.Current survival prediction models are limited,and there is a need for more accurate,personalized methods.The Sur...BACKGROUND Stage IV pancreatic cancer(PC)has a poor prognosis and lacks individualized prognostic tools.Current survival prediction models are limited,and there is a need for more accurate,personalized methods.The Surveillance,Epidemiology,and End Results(SEER)database offers a valuable resource for studying large patient cohorts,yet machine learning-based nomograms for stage IV PC prognosis remain underexplored.This study hypothesizes that a machine learning-based nomogram can predict cancer-specific survival(CSS)and overall survival(OS)with high accuracy in stage IV PC patients.AIM To construct and validate a machine learning-based nomogram for predicting survival in stage IV PC patients using real-world data.METHODS Clinical data from stage IV PC patients diagnosed via pathology from 2000 to 2019 INTRODUCTION Pancreatic cancer(PC)is a significant human health issue and,by 2025,is projected to surpass breast cancer as the third leading cause of cancer-related deaths[1].In the United States,an estimated 66440 new cases and 51750 deaths due to PC were reported in 2024.PC is often asymptomatic in its early stages,with more than half of patients presenting with distant organ metastasis at the time of initial diagnosis[2].Consequently,the prognosis is very poor,with a 5-year relative survival rate of only 12.8%[2]In clinical practice,considerable heterogeneity in survival outcomes has been observed among patients with stage IV PC,highlighting the need for an individualized survival prediction tool for this population.Nomograms,which are visual tools incorporating multiple prognostic factors to predict patient survival,aid in person-alized treatment planning and clinical decision-making and are widely used in cancer prognosis evaluation[3-6].Machine learning,a core technique within artificial intelligence,employs algorithms to analyze data,learn from patterns,and predict real-world events with high accuracy,and is increasingly applied in health assessment,medical decision-making,prognosis,and personalized treatment[7-9].This study leverages the large sample size and comprehensive clinical data from the United State Surveillance,Epidemiology,and End Results(SEER)database to develop a prognostic nomogram for stage IV PC patients using machine learning,with the aim of providing individualized prognostic assessments to improve clinical decision-making.展开更多
Background:The benefit of adjuvant chemotherapy for stage I ovarian endometrioid carcinoma(OEC)remains controversial.Hence,the study sought to explore its value in stage I OEC patients.Methods:Stage I OEC patients(198...Background:The benefit of adjuvant chemotherapy for stage I ovarian endometrioid carcinoma(OEC)remains controversial.Hence,the study sought to explore its value in stage I OEC patients.Methods:Stage I OEC patients(1988–2018)were identified from the Surveillance,Epidemiology,and End Results(SEER)database.Multivariate Cox analysis was used to control confounders.Logistic regression was used to explore factors associated with adjuvant chemotherapy.Cox regression analysis and Kaplan-Meier curves were used to assess the survival benefits.Single-center clinical data and meta-analysis following PRISMA guidelines provided external validation.Result:Adjuvant chemotherapy correlated with improved survival(Hazard Ratio(HR):0.860,p=0.011),as did lymphadenectomy(HR:0.842,p<0.001).Higher age,pathological stage,and tumor grade negatively affected survival.Chemotherapy administration associated with higher pathological stage(IB:Odds Ratio(OR)1.565,p<0.001;IC:OR 4.091,p<0.001),higher grade(G2:OR 2.336,p<0.001;G3:OR 4.563,p<0.001),and lymphadenectomy(OR 1.148,p=0.040).Stratification analysis showed adjuvant chemotherapy failed to improve prognosis in stage IA/IB patients regardless of grade or lymphadenectomy.For stage IC patients,chemotherapy benefited grade 1-2 or grade 3 patients without lymphadenectomy,and grade 3 patients with lymphadenectomy.Meta-analysis revealed reduced recurrence in stage IC patients(OR=0.50,p=0.035).Conclusion:Adjuvant chemotherapy confers survival benefits for stage IC patients,particularly those without lymphadenectomy.展开更多
This study investigates the transmission dynamics of conjunctivitis using stochastic delay differential equations(SDDEs).A delayed stochastic model is formulated by dividing the population into five distinct compartme...This study investigates the transmission dynamics of conjunctivitis using stochastic delay differential equations(SDDEs).A delayed stochastic model is formulated by dividing the population into five distinct compartments:susceptible,exposed,infected,environmental irritants,and recovered individuals.The model undergoes thorough analytical examination,addressing key dynamical properties including positivity,boundedness,existence,and uniqueness of solutions.Local and global stability around the equilibrium points is studied with respect to the basic reproduction number.The existence of a unique global positive solution for the stochastic delayed model is established.In addition,a stochastic nonstandard finite difference scheme is developed,which is shown to be dynamically consistent and convergent toward the equilibrium states.The scheme preserves the essential qualitative features of the model and demonstrates improved performance when compared to existing numerical methods.Finally,the impact of time delays and stochastic fluctuations on the susceptible and infected populations is analyzed.展开更多
An accurate and simultaneous ab initio prediction for both light nuclei and nuclear matter has been a longstanding challenge in nuclear physics, due to the significant uncertainties associated with the three-nucleon f...An accurate and simultaneous ab initio prediction for both light nuclei and nuclear matter has been a longstanding challenge in nuclear physics, due to the significant uncertainties associated with the three-nucleon forces.In this Letter, we develop the relativistic quantum Monte Carlo methods for the nuclear ab initio problem, and calculate the ground-state energies of A ≤ 4 nuclei using the two-nucleon Bonn force with an unprecedented high accuracy. The present relativistic results significantly outperform the nonrelativistic results with only twonucleon forces. We demonstrate that both light nuclei and nuclear matter can be well described simultaneously in the relativistic ab initio calculations, even in the absence of three-nucleon forces, and a correlation between the properties of light A ≤ 4 nuclei and the nuclear saturation is revealed. This provides a quantitative understanding of the connection between the light nuclei and nuclear matter saturation properties.展开更多
Immunosuppression is essential to ensure recipient and graft survivals after liver transplantation(LT). However, our understanding and management of the immune system remain suboptimal. Current immunosuppressive thera...Immunosuppression is essential to ensure recipient and graft survivals after liver transplantation(LT). However, our understanding and management of the immune system remain suboptimal. Current immunosuppressive therapy cannot selectively inhibit the graft-specific immune response and entails a significant risk of serious side effects, i.e., among others, de novo cancers, infections, cardiovascular events, renal failure, metabolic syndrome, and late graft fibrosis, with progressive loss of graft function. Pharmacological research, aimed to develop alternative immunosuppressive agents in LT, is behind other solidorgan transplantation subspecialties, and, therefore, the development of new compounds and strategies should get priority in LT. The research trajectories cover mechanisms to induce T-cell exhaustion, to inhibit co-stimulation, to mitigate non-antigen-specific inflammatory response, and, lastly, to minimize the development and action of donor-specific antibodies. Moreover, while cellular modulation techniques are complex, active research is underway to foster the action of T-regulatory cells, to induce tolerogenic dendritic cells, and to promote the function of B-regulatory cells. We herein discuss current lines of research in clinical immunosuppression, particularly focusing on possible applications in the LT setting.展开更多
Objective To determine the factors that contribute to the survival of elderly individuals diagnosed with brain glioma and develop a prognostic nomogram.Methods Data from elderly individuals(age≥65 years)histologicall...Objective To determine the factors that contribute to the survival of elderly individuals diagnosed with brain glioma and develop a prognostic nomogram.Methods Data from elderly individuals(age≥65 years)histologically diagnosed with brain glioma were sourced from the Surveillance,Epidemiology,and End Results(SEER)database.The dataset was randomly divided into a training cohort and an internal validation cohort at a 6:4 ratio.Additionally,data obtained from Tangdu Hospital constituted an external validation cohort for the study.The identification of independent prognostic factors was achieved through the least absolute shrinkage and selection operator(LASSO)and multivariate Cox regression analysis,enabling the construction of a nomogram.Model performance was evaluated using C-index,ROC curves,calibration plot and decision curve analysis(DCA).Results A cohort of 20483 elderly glioma patients was selected from the SEER database.Five prognostic factors(age,marital status,histological type,stage,and treatment)were found to significantly impact overall survival(OS)and cancer-specific survival(CSS),with tumor location emerging as a sixth variable independently linked to CSS.Subsequently,nomogram models were developed to predict the probabilities of survival at 6,12,and 24 months.The assessment findings from the validation queue indicate a that the model exhibited strong performance.Conclusion Our nomograms serve as valuable prognostic tools for assessing the survival probability of elderly glioma patients.They can potentially assist in risk stratification and clinical decision-making.展开更多
In the United States(US),the Surveillance,Epidemiology,and End Results(SEER)program is the only comprehensive source of population-based information that includes stage of cancer at the time of diagnosis and patient s...In the United States(US),the Surveillance,Epidemiology,and End Results(SEER)program is the only comprehensive source of population-based information that includes stage of cancer at the time of diagnosis and patient survival data.This program aims to provide a database about cancer incidence and survival for studies of surveillance and the development of analytical and methodological tools in the cancer field.Currently,the SEER program covers approximately half of the total cancer patients in the US.A growing number of clinical studies have applied the SEER database in various aspects.However,the intrinsic features of the SEER database,such as the huge data volume and complexity of data types,have hindered its application.In this review,we provided a systematic overview of the commonly used methodologies and study designs for retrospective epidemiological research in order to illustrate the application of the SEER database.Therefore,the goal of this review is to assist researchers in the selection of appropriate methods and study designs for enhancing the robustness and reliability of clinical studies by mining the SEER database.展开更多
Within the framework of quantum statistical mechanics,we have proposed an exact analytical solution to the problemof Bose-Einstein condensation(BEC)of harmonically trapped two-dimensional(2D)ideal photons.We utilize t...Within the framework of quantum statistical mechanics,we have proposed an exact analytical solution to the problemof Bose-Einstein condensation(BEC)of harmonically trapped two-dimensional(2D)ideal photons.We utilize this analyticalsolution to investigate the statistical properties of ideal photons in a 2D dye-filled spherical cap cavity.The resultsof numerical calculation of the analytical solution agree completely with the foregoing experimental results in the BEC ofharmonically trapped 2D ideal photons.The analytical expressions of the critical temperature and the condensate fractionare derived in the thermodynamic limit.It is found that the 2D critical photon number is larger than the one-dimensional(1D)critical photon number by two orders of magnitude.The spectral radiance of a 2D spherical cap cavity has a sharppeak at the frequency of the cavity cutoff when the photon number exceeds the critical value determined by a temperature.展开更多
In generator design field,waveform total harmonic distortion(THD)and telephone harmonic factor(THF)are parameters commonly used to measure the impact of generator no-load voltage harmonics on the power communication q...In generator design field,waveform total harmonic distortion(THD)and telephone harmonic factor(THF)are parameters commonly used to measure the impact of generator no-load voltage harmonics on the power communication quality.Tubular hydrogenerators are considered the optimal generator for exploiting low-head,high-flow hydro resources,and they have seen increasingly widespread application in China's power systems recent years.However,owing to the compact and constrained internal space of such generators,their internal magnetic-field harmonics are pronounced.Therefore,accurate calculation of their THD and THF is crucial during the analysis and design stages to ensure the quality of power communication.Especially in the electromagnetic field finite element modeling analysis of such generators,the type and order of the finite element meshes may have a significant impact on the THD and THF calculation results,which warrants in-depth research.To address this,this study takes a real 34 MW large tubular hydrogenerator as an example,and establishes its electromagnetic field finite element model under no-load conditions.Two types of meshes,five mesh densities,and two mesh orders are analyzed to reveal the effect of electromagnetic field finite element mesh types and orders on the calculation results of THD and THF for such generators.展开更多
文摘This article will deal with Resultative Construction syntactically.First of all,the Unaccusative Hypothesis will be introduced,and the ideas of different scholars(mainly Levin and Rappaport) towards the question--whether the resultative construction can serve as diagnostic test to tell unergative verbs and unaccusative verbs apart--will be presented.The second focus of the article is about the differences that tell resultative constructions apart from depicitive construction and secondary predication construction.
基金Supported by the Appropriate Technology Promotion Program in Chongqing,No.2023jstg005.
文摘BACKGROUND Ampullary adenocarcinoma is a rare malignant tumor of the gastrointestinal tract.Currently,only a few cases have been reported,resulting in limited information on survival.AIM To develop a dynamic nomogram using internal and external validation to predict survival in patients with ampullary adenocarcinoma.METHODS Data were sourced from the surveillance,epidemiology,and end results stat database.The patients in the database were randomized in a 7:3 ratio into training and validation groups.Using Cox regression univariate and multivariate analyses in the training group,we identified independent risk factors for overall survival and cancer-specific survival to develop the nomogram.The nomogram was validated with a cohort of patients from the First Affiliated Hospital of the Army Medical University.RESULTS For overall and cancer-specific survival,12(sex,age,race,lymph node ratio,tumor size,chemotherapy,surgical modality,T stage,tumor differentiation,brain metastasis,lung metastasis,and extension)and 6(age;surveillance,epidemiology,and end results stage;lymph node ratio;chemotherapy;surgical modality;and tumor differentiation)independent risk factors,respectively,were incorporated into the nomogram.The area under the curve values at 1,3,and 5 years,respectively,were 0.807,0.842,and 0.826 for overall survival and 0.816,0.835,and 0.841 for cancer-specific survival.The internal and external validation cohorts indicated good consistency of the nomogram.CONCLUSION The dynamic nomogram offers robust predictive efficacy for the overall and cancer-specific survival of ampullary adenocarcinoma.
文摘Journal of Future Foods(ISSN 2772-5669.Owner:Bejjing Academy of Food Sciences.Production and Hosting:Elsevier B.V.on bchalf of KcAi Communications Co,Ltd.)is an intecrnational,pcer-reviewed open access journal bclonging to the disciplinc of food scicnce and technology.The aim of the journal is to report latcst rescarch results of high-tcch in food science.We welcome submissions that drive the ficld of food science towards whole food nutrition,intelligencc and high technology.
文摘Retrieval analysis in total knee arthroplasty(TKA)has been little studied in the literature.A narrative review of the literature to understand the current importance of retrieval analysis in TKA has been conducted.On August 27,2024,a literature search was performed in PubMed using“TKA retrieval analysis”as keywords.A total of 160 articles were found,of which only 19 were analyzed because they were directly related to the subject of this article.Rotating-platform(mobile-bearing)TKA has no surface damage advantage over fixed-bearing TKA.TKAs with central locking mechanisms are more prone to debond from the cement mantle.No major wear of the polyethylene(PE)component in TKA using oxidized zirconium components occurs.Femoral components of cobalt-chromium roughen more than oxidized zirconium femoral components.The use of a polished tibial tray over an unpolished design is advised.At short-run assessment(15 months on average),antioxidant-stabilized highly crosslinked PE components are not clinically different in surface damage,density of crosslinking,or oxidation compared to standard remelted highly crosslinked PE components.A correlation between implant position and PE component surface damage has been reported.It shows the importance of optimizing component position to reduce PE component damage.Contemporary knee tumor megaendoprostheses show notable volumetric metal wear originated at the rotating hinge.Retrieval analysis in TKA renders relevant data on how different prosthetic designs described in the literature perform.Such information can help to improve future prosthetic designs to increase prosthetic survival.
文摘Types of paper Research Article A complete report on original research.A clear structure is required,including introduction,material and methods,results and discussion,conclusions generally.
文摘Article Categories⋅Research article is a complete academic investigation that covers a significant advance in a specialty.It usually includes a structured abstract under 300 words,an introduction,sections with headings of Materials and Methods,Results,and Discussion,and References.Meta-analyses are published as original articles as well.The full text is about 3500 words and the figures and tables need to be kept under 7 items.
基金funded by the Research,Development,and Innovation Authority(RDIA)-Kingdom of Saudi Arabia-with grant number 12803-baha-2023-BU-R-3-1-EI.
文摘This study investigates the dynamics of pneumococcal pneumonia using a novel fractal-fractional Susceptible-Carrier-Infected-Recovered model formulated with the Atangana-Baleanu in Caputo(ABC)sense.Unlike traditional epidemiological models that rely on classical or Caputo fractional derivatives,the proposed model incorporates nonlocal memory effects,hereditary properties,and complex transmission dynamics through fractalfractional calculus.The Atangana-Baleanu operator,with its non-singular Mittag-Leffler kernel,ensures a more realistic representation of disease progression compared to classical integer-order models and singular kernel-based fractional models.The study establishes the existence and uniqueness of the proposed system and conducts a comprehensive stability analysis,including local and global stability.Furthermore,numerical simulations illustrate the effectiveness of the ABC operator in capturing long-memory effects and nonlocal interactions in disease transmission.The results provide valuable insights into public health interventions,particularly in optimizing vaccination strategies,treatment approaches,and mitigation measures.By extending epidemiological modeling through fractal-fractional derivatives,this study offers an advanced framework for analyzing infectious disease dynamics with enhanced accuracy and predictive capabilities.
基金supported by the National Natural Science Foundation of China(Nos.42374150,42374152)Natural Science Foundation of Shandong Province(ZR2020MD050).
文摘The shear wave(S-wave)velocity is a critical rock elastic parameter in shale reservoirs,especially for evaluating shale fracability.To effectively supplement S-wave velocity under the condition of no actual measurement data,this paper proposes a physically-data driven method for the S-wave velocity prediction in shale reservoirs based on the class activation mapping(CAM)technique combined with a physically constrained two-dimensional Convolutional Neural Network(2D-CNN).High-sensitivity log curves related to S-wave velocity are selected as the basis from the data sensitivity analysis.Then,we establish a petrophysical model of complex multi-mineral components based on the petrophysical properties of porous medium and the Biot-Gassmann equation.This model can help reduce the dispersion effect and constrain the 2D-CNN.In deep learning,the 2D-CNN model is optimized using the Adam,and the class activation maps(CAMs)are obtained by replacing the fully connected layer with the global average pooling(GAP)layer,resulting in explainable results.The model is then applied to wells A,B1,and B2 in the southern Songliao Basin,China and compared with the unconstrained model and the petrophysical model.The results show higher prediction accuracy and generalization ability,as evidenced by correlation coefficients and relative errors of 0.98 and 2.14%,0.97 and 2.35%,0.96 and 2.89%in the three test wells,respectively.Finally,we present the defined C-factor as a means of evaluating the extent of concern regarding CAMs in regression problems.When the results of the petrophysical model are added to the 2D feature maps,the C-factor values are significantly increased,indicating that the focus of 2D-CNN can be significantly enhanced by incorporating the petrophysical model,thereby imposing physical constraints on the 2D-CNN.In addition,we establish the SHAP model,and the results of the petrophysical model have the highest average SHAP values across the three test wells.This helps to assist in proving the importance of constraints.
基金supported by the National Natural Science Foundation of China(U21A20418).
文摘Sleep is an indispensable part of life−its deficiency has significant implications for overall health and wellbeing[1].In today’s fast-paced society,sleep loss from either stressful or non-stressful origins has become prevalent.Specifically,active sleep deprivation(ASD),resulting from extended use of smartphones and other recreational activities,has risen as a global health issue.Clinical research has underscored a strong correlation between chronic pain and inadequate sleep[2].The relationship between pain and sleep is reciprocal:pain disturbs sleep,while poor sleep quality,in turn,reduces pain tolerance and exacerbates spontaneous pain sensations[3].While these interplays are well-documented in cases of passive sleep deprivation(PSD)associated with external pressures or illnesses,understanding how and which regions of the brain collaborate to recalibrate the intricate neural circuitry governing pain perception during ASD remains a crucial yet unresolved frontier.
基金Supported by Mianyang Health and Health Committee 2023 Scientific Research Project,No.202309Chengdu University of Traditional Chinese Medicine University-Hospital Joint Innovation Fund,No.LH202402010Mianyang Chinese Medicine Association 2024 Traditional Chinese Medicine Inheritance and Innovation Science and Technology Project,No.MYSZYYXH-202426.
文摘BACKGROUND Stage IV pancreatic cancer(PC)has a poor prognosis and lacks individualized prognostic tools.Current survival prediction models are limited,and there is a need for more accurate,personalized methods.The Surveillance,Epidemiology,and End Results(SEER)database offers a valuable resource for studying large patient cohorts,yet machine learning-based nomograms for stage IV PC prognosis remain underexplored.This study hypothesizes that a machine learning-based nomogram can predict cancer-specific survival(CSS)and overall survival(OS)with high accuracy in stage IV PC patients.AIM To construct and validate a machine learning-based nomogram for predicting survival in stage IV PC patients using real-world data.METHODS Clinical data from stage IV PC patients diagnosed via pathology from 2000 to 2019 INTRODUCTION Pancreatic cancer(PC)is a significant human health issue and,by 2025,is projected to surpass breast cancer as the third leading cause of cancer-related deaths[1].In the United States,an estimated 66440 new cases and 51750 deaths due to PC were reported in 2024.PC is often asymptomatic in its early stages,with more than half of patients presenting with distant organ metastasis at the time of initial diagnosis[2].Consequently,the prognosis is very poor,with a 5-year relative survival rate of only 12.8%[2]In clinical practice,considerable heterogeneity in survival outcomes has been observed among patients with stage IV PC,highlighting the need for an individualized survival prediction tool for this population.Nomograms,which are visual tools incorporating multiple prognostic factors to predict patient survival,aid in person-alized treatment planning and clinical decision-making and are widely used in cancer prognosis evaluation[3-6].Machine learning,a core technique within artificial intelligence,employs algorithms to analyze data,learn from patterns,and predict real-world events with high accuracy,and is increasingly applied in health assessment,medical decision-making,prognosis,and personalized treatment[7-9].This study leverages the large sample size and comprehensive clinical data from the United State Surveillance,Epidemiology,and End Results(SEER)database to develop a prognostic nomogram for stage IV PC patients using machine learning,with the aim of providing individualized prognostic assessments to improve clinical decision-making.
基金supported by the scientific research project of Jiangsu Province’s“333 Project”(BRA2019097)Jiangsu Provincial Key Medical Discipline of the 14th Five-Year Plan(ZDXK202210)Jiangsu Province Medicine Science and Technology Development Project(No.ZD202014).
文摘Background:The benefit of adjuvant chemotherapy for stage I ovarian endometrioid carcinoma(OEC)remains controversial.Hence,the study sought to explore its value in stage I OEC patients.Methods:Stage I OEC patients(1988–2018)were identified from the Surveillance,Epidemiology,and End Results(SEER)database.Multivariate Cox analysis was used to control confounders.Logistic regression was used to explore factors associated with adjuvant chemotherapy.Cox regression analysis and Kaplan-Meier curves were used to assess the survival benefits.Single-center clinical data and meta-analysis following PRISMA guidelines provided external validation.Result:Adjuvant chemotherapy correlated with improved survival(Hazard Ratio(HR):0.860,p=0.011),as did lymphadenectomy(HR:0.842,p<0.001).Higher age,pathological stage,and tumor grade negatively affected survival.Chemotherapy administration associated with higher pathological stage(IB:Odds Ratio(OR)1.565,p<0.001;IC:OR 4.091,p<0.001),higher grade(G2:OR 2.336,p<0.001;G3:OR 4.563,p<0.001),and lymphadenectomy(OR 1.148,p=0.040).Stratification analysis showed adjuvant chemotherapy failed to improve prognosis in stage IA/IB patients regardless of grade or lymphadenectomy.For stage IC patients,chemotherapy benefited grade 1-2 or grade 3 patients without lymphadenectomy,and grade 3 patients with lymphadenectomy.Meta-analysis revealed reduced recurrence in stage IC patients(OR=0.50,p=0.035).Conclusion:Adjuvant chemotherapy confers survival benefits for stage IC patients,particularly those without lymphadenectomy.
基金supported by Princess Nourah bint Abdulrahman University Researchers Supporting Project number(PNURSP2025R899)Princess Nourah bint Abdulrahman University,Riyadh,Saudi Arabiasupported by the Deanship of Scientific Research,Vice Presidency for Graduate Studies and Scientific Research,King Faisal University,Saudi Arabia(KFU252831)。
文摘This study investigates the transmission dynamics of conjunctivitis using stochastic delay differential equations(SDDEs).A delayed stochastic model is formulated by dividing the population into five distinct compartments:susceptible,exposed,infected,environmental irritants,and recovered individuals.The model undergoes thorough analytical examination,addressing key dynamical properties including positivity,boundedness,existence,and uniqueness of solutions.Local and global stability around the equilibrium points is studied with respect to the basic reproduction number.The existence of a unique global positive solution for the stochastic delayed model is established.In addition,a stochastic nonstandard finite difference scheme is developed,which is shown to be dynamically consistent and convergent toward the equilibrium states.The scheme preserves the essential qualitative features of the model and demonstrates improved performance when compared to existing numerical methods.Finally,the impact of time delays and stochastic fluctuations on the susceptible and infected populations is analyzed.
基金supported in part by the National Natural Science Foundation of China (Grant Nos. 12141501, 123B2080, 12435006, 12475117, and 11935003)the National Key Laboratory of Neutron Science and Technology (Grant No. NST202401016)+2 种基金the National Key R&D Program of China (Grant No. 2024YFE0109803)the High-performance Computing Platform of Peking Universitythe funding support from the State Key Laboratory of Nuclear Physics and Technology, Peking University (Grant No. NPT2023ZX03)。
文摘An accurate and simultaneous ab initio prediction for both light nuclei and nuclear matter has been a longstanding challenge in nuclear physics, due to the significant uncertainties associated with the three-nucleon forces.In this Letter, we develop the relativistic quantum Monte Carlo methods for the nuclear ab initio problem, and calculate the ground-state energies of A ≤ 4 nuclei using the two-nucleon Bonn force with an unprecedented high accuracy. The present relativistic results significantly outperform the nonrelativistic results with only twonucleon forces. We demonstrate that both light nuclei and nuclear matter can be well described simultaneously in the relativistic ab initio calculations, even in the absence of three-nucleon forces, and a correlation between the properties of light A ≤ 4 nuclei and the nuclear saturation is revealed. This provides a quantitative understanding of the connection between the light nuclei and nuclear matter saturation properties.
文摘Immunosuppression is essential to ensure recipient and graft survivals after liver transplantation(LT). However, our understanding and management of the immune system remain suboptimal. Current immunosuppressive therapy cannot selectively inhibit the graft-specific immune response and entails a significant risk of serious side effects, i.e., among others, de novo cancers, infections, cardiovascular events, renal failure, metabolic syndrome, and late graft fibrosis, with progressive loss of graft function. Pharmacological research, aimed to develop alternative immunosuppressive agents in LT, is behind other solidorgan transplantation subspecialties, and, therefore, the development of new compounds and strategies should get priority in LT. The research trajectories cover mechanisms to induce T-cell exhaustion, to inhibit co-stimulation, to mitigate non-antigen-specific inflammatory response, and, lastly, to minimize the development and action of donor-specific antibodies. Moreover, while cellular modulation techniques are complex, active research is underway to foster the action of T-regulatory cells, to induce tolerogenic dendritic cells, and to promote the function of B-regulatory cells. We herein discuss current lines of research in clinical immunosuppression, particularly focusing on possible applications in the LT setting.
基金supported by the Fund for Distinguished Young Scientists of the Department of Science and Technology of Shaanxi Province(No.2023-JC-JQ-68).
文摘Objective To determine the factors that contribute to the survival of elderly individuals diagnosed with brain glioma and develop a prognostic nomogram.Methods Data from elderly individuals(age≥65 years)histologically diagnosed with brain glioma were sourced from the Surveillance,Epidemiology,and End Results(SEER)database.The dataset was randomly divided into a training cohort and an internal validation cohort at a 6:4 ratio.Additionally,data obtained from Tangdu Hospital constituted an external validation cohort for the study.The identification of independent prognostic factors was achieved through the least absolute shrinkage and selection operator(LASSO)and multivariate Cox regression analysis,enabling the construction of a nomogram.Model performance was evaluated using C-index,ROC curves,calibration plot and decision curve analysis(DCA).Results A cohort of 20483 elderly glioma patients was selected from the SEER database.Five prognostic factors(age,marital status,histological type,stage,and treatment)were found to significantly impact overall survival(OS)and cancer-specific survival(CSS),with tumor location emerging as a sixth variable independently linked to CSS.Subsequently,nomogram models were developed to predict the probabilities of survival at 6,12,and 24 months.The assessment findings from the validation queue indicate a that the model exhibited strong performance.Conclusion Our nomograms serve as valuable prognostic tools for assessing the survival probability of elderly glioma patients.They can potentially assist in risk stratification and clinical decision-making.
基金Guangdong Provincial Key Laboratory of Traditional Chinese Medicine Informatization(2021B1212040007)Clinical Frontier Technology Program of the First Affiliated Hospital of Jinan University,China(JNU1AF-CFTP-2022-a01235)Science and Technology Projects in Guangzhou,China(202201020054,2023A03J1032).
文摘In the United States(US),the Surveillance,Epidemiology,and End Results(SEER)program is the only comprehensive source of population-based information that includes stage of cancer at the time of diagnosis and patient survival data.This program aims to provide a database about cancer incidence and survival for studies of surveillance and the development of analytical and methodological tools in the cancer field.Currently,the SEER program covers approximately half of the total cancer patients in the US.A growing number of clinical studies have applied the SEER database in various aspects.However,the intrinsic features of the SEER database,such as the huge data volume and complexity of data types,have hindered its application.In this review,we provided a systematic overview of the commonly used methodologies and study designs for retrospective epidemiological research in order to illustrate the application of the SEER database.Therefore,the goal of this review is to assist researchers in the selection of appropriate methods and study designs for enhancing the robustness and reliability of clinical studies by mining the SEER database.
基金supported by the National Natural Science Foundation of China(Grant Nos.10174024 and 10474025).
文摘Within the framework of quantum statistical mechanics,we have proposed an exact analytical solution to the problemof Bose-Einstein condensation(BEC)of harmonically trapped two-dimensional(2D)ideal photons.We utilize this analyticalsolution to investigate the statistical properties of ideal photons in a 2D dye-filled spherical cap cavity.The resultsof numerical calculation of the analytical solution agree completely with the foregoing experimental results in the BEC ofharmonically trapped 2D ideal photons.The analytical expressions of the critical temperature and the condensate fractionare derived in the thermodynamic limit.It is found that the 2D critical photon number is larger than the one-dimensional(1D)critical photon number by two orders of magnitude.The spectral radiance of a 2D spherical cap cavity has a sharppeak at the frequency of the cavity cutoff when the photon number exceeds the critical value determined by a temperature.
基金sponsored by the National Natural Science Foundation,Youth Foundation of China,Grant/Award Number:51607146Sichuan Natural Sciences Fund,Grant/Award Number:2023NSFSC0295。
文摘In generator design field,waveform total harmonic distortion(THD)and telephone harmonic factor(THF)are parameters commonly used to measure the impact of generator no-load voltage harmonics on the power communication quality.Tubular hydrogenerators are considered the optimal generator for exploiting low-head,high-flow hydro resources,and they have seen increasingly widespread application in China's power systems recent years.However,owing to the compact and constrained internal space of such generators,their internal magnetic-field harmonics are pronounced.Therefore,accurate calculation of their THD and THF is crucial during the analysis and design stages to ensure the quality of power communication.Especially in the electromagnetic field finite element modeling analysis of such generators,the type and order of the finite element meshes may have a significant impact on the THD and THF calculation results,which warrants in-depth research.To address this,this study takes a real 34 MW large tubular hydrogenerator as an example,and establishes its electromagnetic field finite element model under no-load conditions.Two types of meshes,five mesh densities,and two mesh orders are analyzed to reveal the effect of electromagnetic field finite element mesh types and orders on the calculation results of THD and THF for such generators.
