models

摘要： In this study, the weather conditions of the accident at Maroua-Salak airport on 02 August 2020 are analyzed. This C130 aircraft accident took place under bad weather conditions. This bad weather is diagnosed using the models as CFS, GFS and GEFS that reanalyze outputs of the results. At the end of this re-analysis, the result obtained shows that the event which took place at the Maroua-Salak airport was predictable. However, the analysis of these results has made it possible to present the rainfall cumul between 05 and 10 mm for this day. In addition, a comparative study of the rainfall cumul obtained by the CFS, GFS and GEFS models and that estimated by the satellites has been carried out. These models can significantly improve the prevention of such disasters in the region.

摘要： Affine quantization is a parallel procedure to canonical quantization, which is ideally suited to deal with special problems. Vector affine quantization introduces multiple degrees of freedom which find that working together creates novel tools suitable to eliminate typical difficulties encountered in more conventional approaches.

摘要： As a promising manufacturing technology,three-dimensional(3D)printing technology is widely used in the medical field.In the treatment of osteoarticular defects,the emergence of 3D printing technology provides a new option for the reconstruction of functional articular surfaces.At present,3D printing technology has been used in clinical applications such as models,patient-specific instruments(PSIs),and customized implants to treat joint defects caused by trauma,sports injury,and tumors.This review summarizes the application status of 3D printing technology in the treatment of osteoarticular defects and discusses its advantages,disadvantages,and possible future research strategies.

摘要： High-moisture extrusion technology should be considered one of the best choices for producing plant-based meat substitutes with the rich fibrous structure offered by real animal meat products.Unfortunately,the extrusion process has been seen as a“black box”with limited information about what occurs inside,causing serious obstacles in developing meat substitutes.This study designed a high-moisture extrusion process and developed 10 new plant-based meat substitutes comparable to the fibrous structure of real animal meat.The study used the Feature-Augmented Principal Component Analysis(FA-PCA)method to visualize and understand the whole extrusion process in three ways systematically and accurately.It established six sets of mathematical models of the high-moisture extrusion process based on 8000 pieces of data,including five types of parameters.The FA-PCA method improved the R^(2) values significantly compared with the PCA method.The Way 3 was the best to predict product quality(Z),demonstrating that the gradually molecular conformational changes(Y^(n'))were critical in controlling the final quality of the plant-based meat substitutes.Moreover,the first visualization platform software for the high-moisture extrusion process has been established to clearly show the“black box”by combining the virtual simulation technology.Through the software,some practice work such as equipment installation,parameter adjustment,equipment disassembly,and data prediction can be easily achieved.

摘要： Cataracts are a leading cause of blindness, but the only available treatment is surgery, which may not be a viable option for many patients. Instead, pharmacological interventions that target cataractogenesis at the molecular level represent an attractive method for preventing or delaying cataract formation. Antioxidant drugs like N-(2-mercaptopropionyl)glycine may interfere with oxidative processes that lead to age-related nuclear cataracts. Nevertheless, achieving therapeutic concentrations in the lens has proven challenging. Novel delivery strategies such as functionalized nanodiamonds offer several advantages over conventional platforms in terms of stability and customizability. Therefore, we investigated the effects of three different types of functionalized nanodiamonds on the uptake and efficacy of a potential anticataract agent in a whole organ culture model of oxidative insult in the lens. Lenses treated with sodium selenite exhibited detrimental morphological changes and significantly deteriorated redox status. Lenses treated with the neat drug showed marked improvements. However, only hydroxylated nanodiamonds appeared to improve drug uptake, and their effects on lens glutathione and cysteine were modest. This work represents a critical step in understanding the anticataract effects of N-(2-mercaptopropionyl)glycine, and it suggests that other drug delivery strategies may be warranted to realize these effects in vivo.

摘要： Colorectal cancer(CRC)is the third most common diagnosed malignancy among both sexes in the United States as well as in the European Union.While the incidence and mortality rates in western,high developed countries are declining,reflecting the success of screening programs and improved treatment regimen,a rise of the overall global CRC burden can be observed due to lifestyle changes paralleling an increasing human development index.Despite a growing insight into the biology of CRC and many therapeutic improvements in the recent decades,preclinical in vivo models are still indispensable for the development of new treatment approaches.Since the development of carcinogen-induced rodent models for CRC more than 80 years ago,a plethora of animal models has been established to study colon cancer biology.Despite tenuous invasiveness and metastatic behavior,these models are useful for chemoprevention studies and to evaluate colitis-related carcinogenesis.Genetically engineered mouse models(GEMM)mirror the pathogenesis of sporadic as well as inherited CRC depending on the specific molecular pathways activated or inhibited.Although the vast majority of CRC GEMM lack invasiveness,metastasis and tumor heterogeneity,they still have proven useful for examination of the tumor microenvironment as well as systemic immune responses;thus,supporting development of new therapeutic avenues.Induction of metastatic disease by orthotopic injection of CRC cell lines is possible,but the so generated models lack genetic diversity and the number of suited cell lines is very limited.Patient-derived xenografts,in contrast,maintain the pathological and molecular characteristics of the individual patient's CRC after subcutaneous implantation into immunodeficient mice and are therefore most reliable for preclinical drug development–even in comparison to GEMM or cell line-based analyses.However,subcutaneous patient-derived xenograft models are less suitable for studying most aspects of the tumor microenvironment and anti-tumoral immune responses.The authors review the distinct mouse models of CRC with an emphasis on their clinical relevance and shed light on the latest developments in the field of preclinical CRC models.

摘要： We consider a functional partially linear additive model that predicts a functional response by a scalar predictor and functional predictors. The B-spline and eigenbasis least squares estimator for both the parametric and the nonparametric components proposed. In the final of this paper, as a result, we got the variance decomposition of the model and establish the asymptotic convergence rate for estimator.

摘要： The central nervous system is known to have limited regenerative capacity.Not only does this halt the human body’s reparative processes after central nervous system lesions,but it also impedes the establishment of effective and safe therapeutic options for such patients.Despite the high prevalence of stroke and spinal cord injury in the general population,these conditions remain incurable and place a heavy burden on patients’families and on society more broadly.Neuroregeneration and neural engineering are diverse biomedical fields that attempt reparative treatments,utilizing stem cells-based strategies,biologically active molecules,nanotechnology,exosomes and highly tunable biodegradable systems(e.g.,certain hydrogels).Although there are studies demonstrating promising preclinical results,safe clinical translation has not yet been accomplished.A key gap in clinical translation is the absence of an ideal animal or ex vivo model that can perfectly simulate the human microenvironment,and also correspond to all the complex pathophysiological and neuroanatomical factors that affect functional outcomes in humans after central nervous system injury.Such an ideal model does not currently exist,but it seems that the nonhuman primate model is uniquely qualified for this role,given its close resemblance to humans.This review considers some regenerative therapies for central nervous system repair that hold promise for future clinical translation.In addition,it attempts to uncover some of the main reasons why clinical translation might fail without the implementation of nonhuman primate models in the research pipeline.

摘要： Hypertension is a major long-term health condition and a leading modifiable risk factor for cardiovascular disease and death. The aim of this study was to examine major factors that affect survival time of hypertension patients under follow-up. We considered a total of 430 random samples of hypertension patients who had been under follow up at Yekatit-12 Hospital in Ethiopia from January 2013 to January 2019. Four parametric accelerated failure time distributions: Exponential, Weibull, Lognormal and loglogistic are used to analyse survival probabilities of the patients. The Kaplan-Meierestimation method and log-rank tests were used to compare the survival experience of patients with respect to different covariates. The Weibull model is selected to best fit to the data sets. The results indicate that the baseline age of the patient, place of residence, family history of hypertension, khat intake, blood cholesterol level of the patient, hypertension disease stage, adherence to the treatment and related disease were significantly associated with survival time of hypertension patients. But factor like gender, tobacco use, alcohol use, diabetes mellitus status and fasting blood sugar were not significantly associated factors. Society and all stakeholders should be aware of the consequences of these factors which can influence the survival time of hypertension patients.

摘要： The paper searched for raw data about wild-caught fish, where a sigmoidal growth function described the mass growth significantly better than non-sigmoidal functions. Specifically, von Bertalanffy’s sigmoidal growth function (metabolic exponent-pair a = 2/3, b = 1) was compared with unbounded linear growth and with bounded exponential growth using the Akaike information criterion. Thereby the maximum likelihood fits were compared, assuming a lognormal distribution of mass (i.e. a higher variance for heavier animals). Starting from 70+ size-at-age data, the paper focused on 15 data coming from large datasets. Of them, six data with 400 - 20,000 data-points were suitable for sigmoidal growth modeling. For these, a custom-made optimization tool identified the best fitting growth function from the general von Bertalanffy-Pütter class of models. This class generalizes the well-known models of Verhulst (logistic growth), Gompertz and von Bertalanffy. Whereas the best-fitting models varied widely, their exponent-pairs displayed a remarkable pattern, as their difference was close to 1/3 (example: von Bertalanffy exponent-pair). This defined a new class of models, for which the paper provided a biological motivation that relates growth to food consumption.

摘要： 本发明提供的一种基于Topic Model的本体构建方法。本发明提出了AOL方法，该方法支持自动的领域本体构建，发明了一种信息的计算概念之间语义相似性的度量方法，用来计算LDA模型产生的概念之间的语义相似性，AOL方法不限制根节点的子节点数量，不需要有种子本体作为初始学习本体的辅助。实验结果表明，本发明提出的利用Topic Model进行自动本体构建的方法是非常有效的。

摘要： 本发明涉及一种支持混合模型融合的Model Ensemble方法，两个模型的输出均包括实例框和类别分布，分别对两个实例框和两个类别分布进行加权融合，对加权融合后的输出去重获得唯一的模型融合输出。当两个模型中有一个分类模型时，将该分类模型的输出改造成检测模型输出，用“检测模型的实例框+分类模型的类别分布”来构造一个虚拟的检测模型输出。本方法不限于分类模型融合，可以融合不同AI模型。

摘要： 本发明公开了一种在Power8 L model服务器上监控功耗的方法及系统，方法包括：S1，在指定服务器编写shell脚本；S2，输入ipmi命令获取所述指定服务器的序列号、部件温度和整机功耗。在FW840之前的微码情况下，通过编写shell脚本提取ipmi命令中的信息获取服务器的硬件部件序列号、部件温度和整机功耗等信息，操作简单，信息获取成本低。

摘要： 本发明公开了建模(Modeling)面膜化妆料组成物，对于纯净水100重量份，褐藻酸盐(Alginate)1～10wt％，保湿剂1～20wt％，增粘剂1～10wt％，乳化剂0.5～3wt％，皮肤保护剂0.1～8wt％，保存剂1～3wt％组成。因此，根据本发明，作为含有褐藻酸盐(Alginate)的凝胶形态的一体型剥离(Peel Off)建模(Modeling)面膜，该组合物不混合单独的水或2剂，以具有粘性的凝胶(Gel)形态提高使用便利性和便携性，同时提高营养成分。

摘要： 本发明提供一种基于特征分量相关性的Rich Model隐写检测特征选取方法。该方法包括：步骤1：将高维Rich Model隐写检测特征拆解为若干个Rich Model子模型；步骤2：针对每个Rich Model子模型，度量其各个特征分量的可分性，并根据可分性的度量值对各个特征分量进行降序排序；步骤3：针对每个RichModel子模型，计算其任意两个特征分量之间的相关性，根据相关性的强弱对特征分量进行特征选择；步骤4：将特征选择后的各个Rich Model子模型进行合并以作为最终的隐写检测特征。本发明应用于频域和空域的Rich Model特征时，在不影响隐写检测正确率的情况下，能够有效降低Rich Model特征维数，且在频域上的效果更为显著。

摘要： 本发明涉及一种支持混合模型融合的Model Ensemble方法，两个模型的输出均包括实例框和类别分布，分别对两个实例框和两个类别分布进行加权融合，对加权融合后的输出去重获得唯一的模型融合输出。当两个模型中有一个分类模型时，将该分类模型的输出改造成检测模型输出，用“检测模型的实例框+分类模型的类别分布”来构造一个虚拟的检测模型输出。本方法不限于分类模型融合，可以融合不同AI模型。

摘要： 本公开提供了一种基于Model‑Free抽样的涡轮机匣低周疲劳寿命预测方法，属于航空技术领域。该方法包括建立涡轮机匣参数化有限元模型；获取涡轮机匣低周疲劳寿命的原始观测样本；根据所述原始观测样本，采用Model‑Free抽样方法进行扩充获得扩充样本；根据所述扩充样本，结合Edgeworth级数方法获得涡轮机匣的低周疲劳寿命预测结果。本公开将基于少量已经通过有限元分析获得机匣模型的低周疲劳数据，通过Model‑free抽样方法来获得大量机匣低周疲劳数据，并根据这些数据通过Edgeworth级数方法来估计涡轮机匣低周疲劳寿命的预测结果，提高低周疲劳寿命概率分布预测的效率。

摘要： 本发明实施例公开了一种快速建立PCB差分信号的AC耦合电容signal model方法和系统，包括：产生AC耦合电容信号群原始清单列表；移除不相关信号，形成AC耦合电容目标清单列表；建立AC耦合电容signal model，产生已建立signal model的电容零件位号清单。当AC耦合电容信号群加载至原始清单列表时，可以将符合关键字规则的差分信号都包含进去；再通过筛选功能，生成差分信号AC耦合电容目标清单列表；最后通过signal model建立功能，产生已建立signal model的电容零件位号清单。本发明通过自动实现差分信号AC耦合电容signal model设定的功能，取代了当前AC耦合电容signal model手动设定的方式，极大提高了工作效率，同时减少了出错和遗漏的机率。

摘要： 本发明提供了一种基于U‑model的四旋翼无人机控制方法，包括：分别建立四旋翼无人机机翼的数学模型和四旋翼无人机轨迹的动力学模型；将所述数学模型通过解耦获得所述四旋翼无人机机翼独立控制通道的传递函数，其中所述独立通道包括：俯仰通道，翻滚通道、偏航通道和方向通道；将所述传递函数通过基于U‑model的极点配置方法，构建所述四旋翼无人机机翼的第一控制规律；根据所述动力学模型通过解耦获得所述四旋翼无人机机体的轨迹的驱动子函数；根据所述驱动子函数通过基于U模型的极点配置的方法，构建所述四旋翼无人机机体的第二控制规律；根据所述第一控制规律和所述第二控制规律，构建所述四旋翼无人机的复合控制规律。

摘要： 本发明涉及船舶设计技术领域，尤其为一种基于TRIBON M3中的Pipe Modelling模块管子建模方法，包括有以下步骤：S1，初始化管子模型数据库；S2，定义相对坐标系；S3,制作工作图；S4，建立管子模型；S5，干涩检查，模型修改；S6，输入生产信息；S7，数据提取转换。本发明模块建立的管子模型信息都存在某一个指定的数据库中，管子模型的信息一旦存入指定的数据库，其他的用户都可以调用此管子模型的信息，数据具有高度的共享性，便于设计人员之间的协调配合。