目的基于LASSO-Logistic回归分析影响慢性鼻窦炎伴鼻息肉(chronic rhinosinusitis with nasal polyps,CRSwNP)术后嗅觉功能恢复的危险因素,构建预测模型。方法收集2022年9月至2024年12月于本院行鼻内镜手术的CRSwNP患者270例,依据术后...目的基于LASSO-Logistic回归分析影响慢性鼻窦炎伴鼻息肉(chronic rhinosinusitis with nasal polyps,CRSwNP)术后嗅觉功能恢复的危险因素,构建预测模型。方法收集2022年9月至2024年12月于本院行鼻内镜手术的CRSwNP患者270例,依据术后嗅觉功能恢复情况分为良好组(n=207)和不良组(n=63),分析影响CRSwNP术后嗅觉功能恢复的危险因素,并构建预测模型。结果270例患者术后嗅觉功能恢复不良发生率为23.33%(63/270)。LASSO回归结合多因素Logistic回归分析显示,嗅觉功能障碍持续时间、合并变应性鼻炎、病变类型、疾病分型以及分期、Lund-Kennedy评分、复诊次数是独立影响因素(P均<0.001)。基于此构建的列线图预测模型内部验证一致性指数为0.731,校准良好;ROC曲线下面积(AUC)为0.783(95%CI:0.677~0.889),敏感度和特异性分别为81.25%与67.50%。结论影响CRSwNP患者术后嗅觉功能恢复的危险因素包括嗅觉功能障碍持续时间≥2年、合并变应性鼻炎、嗅裂区息肉、疾病分型及分期≥Ⅱ型2期、Lund-Kennedy评分≥2分以及复诊次数>3次,基于上述因素所构建的预测模型,可为临床医生提供术后嗅觉功能恢复的预测依据。展开更多
目的分析阿替普酶静脉溶栓后出血的临床风险因素。方法选取2022年1月至2024年1月在山东第二医科大学附属医院接受阿替普酶(Alteplase,rt-PA)静脉溶栓治疗的急性缺血性脑卒中患者120例,根据溶栓后7 d内是否发生远隔部位出血分为出血组与...目的分析阿替普酶静脉溶栓后出血的临床风险因素。方法选取2022年1月至2024年1月在山东第二医科大学附属医院接受阿替普酶(Alteplase,rt-PA)静脉溶栓治疗的急性缺血性脑卒中患者120例,根据溶栓后7 d内是否发生远隔部位出血分为出血组与非出血组。收集患者一般资料、美国国立卫生研究院卒中量表(National institutes of health stroke scale,NIHSS)评分、实验室指标及脑灌注参数。分别采用Lasso-logistic回归模型和随机森林(Random forest,RF)模型筛选阿替普酶溶栓后出血的风险因素。结果与非出血组相比,出血组年龄、高血压占比、入院NIHSS评分、血清D-二聚体(D-dimer,D-D)和基质金属蛋白酶-9(Matrix metalloproteinase-9,MMP-9)水平均升高,脑血流量(Relative cerebral blood flow,rCBF)和脑血容量(Relative cerebral blood volume,rCBV)均降低,达峰时间(Relative time to peak,rTTP)延长,差异均有统计学意义(P<0.05)。Lasso-logistic回归模型分析显示,年龄、高血压占比、入院NIHSS评分、血清D-D和MMP-9水平、FIB、rCBF、rCBV、rTTP及血糖是筛选溶栓治疗后发生出血风险的特征变量。RF模型结果显示,血清D-D水平、入院NIHSS评分、rTTP、年龄及血清MMP-9水平的重要性位列前五。结论年龄偏大、罹患高血压、入院NIHSS评分较高、血清D-D和MMP-9水平较高、rTTP较长是阿替普酶静脉溶栓后发生出血的主要风险因素,rCBF和rCBV降低提示出血风险增加。展开更多
Model evaluation using benchmark datasets is an important method to measure the capability of large language models(LLMs)in specific domains,and it is mainly used to assess the knowledge and reasoning abilities of LLM...Model evaluation using benchmark datasets is an important method to measure the capability of large language models(LLMs)in specific domains,and it is mainly used to assess the knowledge and reasoning abilities of LLMs.Therefore,in order to better assess the capability of LLMs in the agricultural domain,Agri-Eval was proposed as a benchmark for assessing the knowledge and reasoning ability of LLMs in agriculture.The assessment dataset used in Agri-Eval covered seven major disciplines in the agricultural domain:crop science,horticulture,plant protection,animal husbandry,forest science,aquaculture science,and grass science,and contained a total of 2283 questions.Among domestic general-purpose LLMs,DeepSeek R1 performed best with an accuracy rate of 75.49%.In the realm of international general-purpose LLMs,Gemini 2.0 pro exp 0205 standed out as the top performer,achieving an accuracy rate of 74.28%.As an LLMs in agriculture vertical,Shennong V2.0 outperformed all the LLMs in China,and the answer accuracy rate of agricultural knowledge exceeded that of all the existing general-purpose LLMs.The launch of Agri-Eval helped the LLM developers to comprehensively evaluate the model's capability in the field of agriculture through a variety of tasks and tests to promote the development of the LLMs in the field of agriculture.展开更多
In this paper,we establish and study a single-species logistic model with impulsive age-selective harvesting.First,we prove the ultimate boundedness of the solutions of the system.Then,we obtain conditions for the asy...In this paper,we establish and study a single-species logistic model with impulsive age-selective harvesting.First,we prove the ultimate boundedness of the solutions of the system.Then,we obtain conditions for the asymptotic stability of the trivial solution and the positive periodic solution.Finally,numerical simulations are presented to validate our results.Our results show that age-selective harvesting is more conducive to sustainable population survival than non-age-selective harvesting.展开更多
In recent years,there has been an increasing need for climate information across diverse sectors of society.This demand has arisen from the necessity to adapt to and mitigate the impacts of climate variability and cha...In recent years,there has been an increasing need for climate information across diverse sectors of society.This demand has arisen from the necessity to adapt to and mitigate the impacts of climate variability and change.Likewise,this period has seen a significant increase in our understanding of the physical processes and mechanisms that drive precipitation and its variability across different regions of Africa.By leveraging a large volume of climate model outputs,numerous studies have investigated the model representation of African precipitation as well as underlying physical processes.These studies have assessed whether the physical processes are well depicted and whether the models are fit for informing mitigation and adaptation strategies.This paper provides a review of the progress in precipitation simulation overAfrica in state-of-the-science climate models and discusses the major issues and challenges that remain.展开更多
Utilizing finite element analysis,the ballistic protection provided by a combination of perforated D-shaped and base armor plates,collectively referred to as radiator armor,is evaluated.ANSYS Explicit Dynamics is empl...Utilizing finite element analysis,the ballistic protection provided by a combination of perforated D-shaped and base armor plates,collectively referred to as radiator armor,is evaluated.ANSYS Explicit Dynamics is employed to simulate the ballistic impact of 7.62 mm armor-piercing projectiles on Aluminum AA5083-H116 and Steel Secure 500 armors,focusing on the evaluation of material deformation and penetration resistance at varying impact points.While the D-shaped armor plate is penetrated by the armor-piercing projectiles,the combination of the perforated D-shaped and base armor plates successfully halts penetration.A numerical model based on the finite element method is developed using software such as SolidWorks and ANSYS to analyze the interaction between radiator armor and bullet.The perforated design of radiator armor is to maintain airflow for radiator function,with hole sizes smaller than the bullet core diameter to protect radiator assemblies.Predictions are made regarding the brittle fracture resulting from the projectile core′s bending due to asymmetric impact,and the resulting fragments failed to penetrate the perforated base armor plate.Craters are formed on the surface of the perforated D-shaped armor plate due to the impact of projectile fragments.The numerical model accurately predicts hole growth and projectile penetration upon impact with the armor,demonstrating effective protection of the radiator assemblies by the radiator armor.展开更多
文摘目的基于LASSO-Logistic回归分析影响慢性鼻窦炎伴鼻息肉(chronic rhinosinusitis with nasal polyps,CRSwNP)术后嗅觉功能恢复的危险因素,构建预测模型。方法收集2022年9月至2024年12月于本院行鼻内镜手术的CRSwNP患者270例,依据术后嗅觉功能恢复情况分为良好组(n=207)和不良组(n=63),分析影响CRSwNP术后嗅觉功能恢复的危险因素,并构建预测模型。结果270例患者术后嗅觉功能恢复不良发生率为23.33%(63/270)。LASSO回归结合多因素Logistic回归分析显示,嗅觉功能障碍持续时间、合并变应性鼻炎、病变类型、疾病分型以及分期、Lund-Kennedy评分、复诊次数是独立影响因素(P均<0.001)。基于此构建的列线图预测模型内部验证一致性指数为0.731,校准良好;ROC曲线下面积(AUC)为0.783(95%CI:0.677~0.889),敏感度和特异性分别为81.25%与67.50%。结论影响CRSwNP患者术后嗅觉功能恢复的危险因素包括嗅觉功能障碍持续时间≥2年、合并变应性鼻炎、嗅裂区息肉、疾病分型及分期≥Ⅱ型2期、Lund-Kennedy评分≥2分以及复诊次数>3次,基于上述因素所构建的预测模型,可为临床医生提供术后嗅觉功能恢复的预测依据。
文摘目的分析阿替普酶静脉溶栓后出血的临床风险因素。方法选取2022年1月至2024年1月在山东第二医科大学附属医院接受阿替普酶(Alteplase,rt-PA)静脉溶栓治疗的急性缺血性脑卒中患者120例,根据溶栓后7 d内是否发生远隔部位出血分为出血组与非出血组。收集患者一般资料、美国国立卫生研究院卒中量表(National institutes of health stroke scale,NIHSS)评分、实验室指标及脑灌注参数。分别采用Lasso-logistic回归模型和随机森林(Random forest,RF)模型筛选阿替普酶溶栓后出血的风险因素。结果与非出血组相比,出血组年龄、高血压占比、入院NIHSS评分、血清D-二聚体(D-dimer,D-D)和基质金属蛋白酶-9(Matrix metalloproteinase-9,MMP-9)水平均升高,脑血流量(Relative cerebral blood flow,rCBF)和脑血容量(Relative cerebral blood volume,rCBV)均降低,达峰时间(Relative time to peak,rTTP)延长,差异均有统计学意义(P<0.05)。Lasso-logistic回归模型分析显示,年龄、高血压占比、入院NIHSS评分、血清D-D和MMP-9水平、FIB、rCBF、rCBV、rTTP及血糖是筛选溶栓治疗后发生出血风险的特征变量。RF模型结果显示,血清D-D水平、入院NIHSS评分、rTTP、年龄及血清MMP-9水平的重要性位列前五。结论年龄偏大、罹患高血压、入院NIHSS评分较高、血清D-D和MMP-9水平较高、rTTP较长是阿替普酶静脉溶栓后发生出血的主要风险因素,rCBF和rCBV降低提示出血风险增加。
文摘Model evaluation using benchmark datasets is an important method to measure the capability of large language models(LLMs)in specific domains,and it is mainly used to assess the knowledge and reasoning abilities of LLMs.Therefore,in order to better assess the capability of LLMs in the agricultural domain,Agri-Eval was proposed as a benchmark for assessing the knowledge and reasoning ability of LLMs in agriculture.The assessment dataset used in Agri-Eval covered seven major disciplines in the agricultural domain:crop science,horticulture,plant protection,animal husbandry,forest science,aquaculture science,and grass science,and contained a total of 2283 questions.Among domestic general-purpose LLMs,DeepSeek R1 performed best with an accuracy rate of 75.49%.In the realm of international general-purpose LLMs,Gemini 2.0 pro exp 0205 standed out as the top performer,achieving an accuracy rate of 74.28%.As an LLMs in agriculture vertical,Shennong V2.0 outperformed all the LLMs in China,and the answer accuracy rate of agricultural knowledge exceeded that of all the existing general-purpose LLMs.The launch of Agri-Eval helped the LLM developers to comprehensively evaluate the model's capability in the field of agriculture through a variety of tasks and tests to promote the development of the LLMs in the field of agriculture.
基金Supported by the National Natural Science Foundation of China(12261018)Universities Key Laboratory of Mathematical Modeling and Data Mining in Guizhou Province(2023013)。
文摘In this paper,we establish and study a single-species logistic model with impulsive age-selective harvesting.First,we prove the ultimate boundedness of the solutions of the system.Then,we obtain conditions for the asymptotic stability of the trivial solution and the positive periodic solution.Finally,numerical simulations are presented to validate our results.Our results show that age-selective harvesting is more conducive to sustainable population survival than non-age-selective harvesting.
基金the World Climate Research Programme(WCRP),Climate Variability and Predictability(CLIVAR),and Global Energy and Water Exchanges(GEWEX)for facilitating the coordination of African monsoon researchsupport from the Center for Earth System Modeling,Analysis,and Data at the Pennsylvania State Universitythe support of the Office of Science of the U.S.Department of Energy Biological and Environmental Research as part of the Regional&Global Model Analysis(RGMA)program area。
文摘In recent years,there has been an increasing need for climate information across diverse sectors of society.This demand has arisen from the necessity to adapt to and mitigate the impacts of climate variability and change.Likewise,this period has seen a significant increase in our understanding of the physical processes and mechanisms that drive precipitation and its variability across different regions of Africa.By leveraging a large volume of climate model outputs,numerous studies have investigated the model representation of African precipitation as well as underlying physical processes.These studies have assessed whether the physical processes are well depicted and whether the models are fit for informing mitigation and adaptation strategies.This paper provides a review of the progress in precipitation simulation overAfrica in state-of-the-science climate models and discusses the major issues and challenges that remain.
文摘Utilizing finite element analysis,the ballistic protection provided by a combination of perforated D-shaped and base armor plates,collectively referred to as radiator armor,is evaluated.ANSYS Explicit Dynamics is employed to simulate the ballistic impact of 7.62 mm armor-piercing projectiles on Aluminum AA5083-H116 and Steel Secure 500 armors,focusing on the evaluation of material deformation and penetration resistance at varying impact points.While the D-shaped armor plate is penetrated by the armor-piercing projectiles,the combination of the perforated D-shaped and base armor plates successfully halts penetration.A numerical model based on the finite element method is developed using software such as SolidWorks and ANSYS to analyze the interaction between radiator armor and bullet.The perforated design of radiator armor is to maintain airflow for radiator function,with hole sizes smaller than the bullet core diameter to protect radiator assemblies.Predictions are made regarding the brittle fracture resulting from the projectile core′s bending due to asymmetric impact,and the resulting fragments failed to penetrate the perforated base armor plate.Craters are formed on the surface of the perforated D-shaped armor plate due to the impact of projectile fragments.The numerical model accurately predicts hole growth and projectile penetration upon impact with the armor,demonstrating effective protection of the radiator assemblies by the radiator armor.
