ASTERIX Category017数据格式分析与应用

文章介绍了ASTERIX标准协议的结构框架,依据实例详细给出了ASTERIX Category017数据格式的解析过程,并阐述了该格式协议在S模式二次雷达协同监视组网中的重要应用。

Refined Sparse Representation Based Similar Category Image Retrieval

Given one specific image,it would be quite significant if humanity could simply retrieve all those pictures that fall into a similar category of images.However,traditional methods are inclined to achieve high-quality retrieval by utilizing adequate learning instances,ignoring the extraction of the image’s essential information which leads to difficulty in the retrieval of similar category images just using one reference image.Aiming to solve this problem above,we proposed in this paper one refined sparse representation based similar category image retrieval model.On the one hand,saliency detection and multi-level decomposition could contribute to taking salient and spatial information into consideration more fully in the future.On the other hand,the cross mutual sparse coding model aims to extract the image’s essential feature to the maximumextent possible.At last,we set up a database concluding a large number of multi-source images.Adequate groups of comparative experiments show that our method could contribute to retrieving similar category images effectively.Moreover,adequate groups of ablation experiments show that nearly all procedures play their roles,respectively.

End-to-end aspect category sentiment analysis based on type graph convolutional networks

For the existing aspect category sentiment analysis research,most of the aspects are given for sentiment extraction,and this pipeline method is prone to error accumulation,and the use of graph convolutional neural network for aspect category sentiment analysis does not fully utilize the dependency type information between words,so it cannot enhance feature extraction.This paper proposes an end-to-end aspect category sentiment analysis(ETESA)model based on type graph convolutional networks.The model uses the bidirectional encoder representation from transformers(BERT)pretraining model to obtain aspect categories and word vectors containing contextual dynamic semantic information,which can solve the problem of polysemy;when using graph convolutional network(GCN)for feature extraction,the fusion operation of word vectors and initialization tensor of dependency types can obtain the importance values of different dependency types and enhance the text feature representation;by transforming aspect category and sentiment pair extraction into multiple single-label classification problems,aspect category and sentiment can be extracted simultaneously in an end-to-end way and solve the problem of error accumulation.Experiments are tested on three public datasets,and the results show that the ETESA model can achieve higher Precision,Recall and F1 value,proving the effectiveness of the model.

A Hybrid Ensemble Learning Approach Utilizing Light Gradient Boosting Machine and Category Boosting Model for Lifestyle-Based Prediction of Type-II Diabetes Mellitus

Addressing classification and prediction challenges, tree ensemble models have gained significant importance. Boosting ensemble techniques are commonly employed for forecasting Type-II diabetes mellitus. Light Gradient Boosting Machine (LightGBM) is a widely used algorithm known for its leaf growth strategy, loss reduction, and enhanced training precision. However, LightGBM is prone to overfitting. In contrast, CatBoost utilizes balanced base predictors known as decision tables, which mitigate overfitting risks and significantly improve testing time efficiency. CatBoost’s algorithm structure counteracts gradient boosting biases and incorporates an overfitting detector to stop training early. This study focuses on developing a hybrid model that combines LightGBM and CatBoost to minimize overfitting and improve accuracy by reducing variance. For the purpose of finding the best hyperparameters to use with the underlying learners, the Bayesian hyperparameter optimization method is used. By fine-tuning the regularization parameter values, the hybrid model effectively reduces variance (overfitting). Comparative evaluation against LightGBM, CatBoost, XGBoost, Decision Tree, Random Forest, AdaBoost, and GBM algorithms demonstrates that the hybrid model has the best F1-score (99.37%), recall (99.25%), and accuracy (99.37%). Consequently, the proposed framework holds promise for early diabetes prediction in the healthcare industry and exhibits potential applicability to other datasets sharing similarities with diabetes.

Asterix Category021协议的应用与分析

介绍了Asterix Category 021协议的数据项内容、用户应用程序框架(UAP)的结构、报文数据块的布局,以及ADS-B系统应用该协议的方式,分析了该协议的实例应用和协议报文的解析,提出了处理报文的思路。研究与分析结果可为如何使用Asterix Category 021协议生成与解析报文提供参考。

Asterix Category 033协议的分析与应用

介绍了Asterix Category 033协议的数据项组成、编码的内容以及在监视应用中的关键作用,研究了该协议的CRC编码方式以及报文的组装方式,提出了每个数据项的内容在监视终端和地面接收处理基站中的处理方法。所研究和分析成果为Asterix Category 033协议生成与解析报文提供了依据。

Distribution assessment of soil erosion with revised RUSLE model in Tianshan Mountains

aSoil degradation caused by soil erosion is one of the world's most critical environmental issues.Soil erosion in the Tianshan Mountains has caused various environmental problems in the surrounding areas.This study used remote sensing data to analyze the distribution of the factors influencing soil erosion,and the revised universal soil loss equation(RUSLE)to calculate the total amount and distribution characteristics of soil erosion in the Tianshan Mountains in 2019.Due to the large error of RUSLE in soil erosion estimation in mountainous areas,this study modified RUSLE equation based on the characteristics of snow cover in the Tianshan Mountains.The results show that the average soil erosion was 1690.3 t/(km^(2)·year),of which insignificant erosion,slight erosion and moderate erosion accounted for 42,8%,22.4%and 9.9%,respectively.Severe erosion and above accounted for 13.3%.The accuracy of the soil erosion modulus calculated by the RUSLE was only 61.9%,with an average error of 1631.9 t/(km^(2)·year).The average error of the double-coefficient correction method was 1259.1 t/(km^(2)·year),and the average error of the modified formula method was reduced by 40.3%compared with the RUSLE,reaching 973.7 t/(km^(2)·year),and its accuracy reached 76.2%.Very severe erosion and catastrophic erosion are distributed on mountain ridges with higher elevation and on the northern area with higher precipitation.Snow cover has a certain inhibitory effect on soil erosion,and snow cover in alpine mountains is a factor that cannot be ignored in soil erosion research.

Making the category of entwined modules into a braided monoidal category

The question of how the category of entwined modules can be made into a braided monoidal category is studied. First, the sufficient and necessary conditions making the category into a monoidal category are obtained by using the fact that if （A, C, ψ） is an entwining structure, then A × C can be made into an entwined module. The conditions are that the algebra and coalgebra in question are both bialgebras with some extra compatibility relations. Then given a monodial category of entwined modules, the braiding is constructed by means of a twisted convolution invertible map Q, and the conditions making the category form into a braided monoidal category are obtained similarly. Finally, the construction is applied to the category of Doi-Hopf modules and （α, β ）-Yetter-Drinfeld modules as examples.

Construction of semisimple category over generalized Yetter-Drinfeld modules

Let H be a commutative, noetherian, semisimple and cosemisimple Hopf algebra with a bijective antipode over a field k. Then the semisimplicity of YD（H） is considered, where YD （H） means the disjoint union of the category of generalized Yetter-Drinfeld modules nYD^H（ α, β） for any α, β E Aut Hopf（H）. First, the fact that YD（H） is closed under Mor is proved. Secondly, based on the properties of finitely generated projective modules and semisimplicity of H, YD（H） satisfies the exact condition. Thus each object in YD（H） can be decomposed into simple ones since H is noetherian and cosemisimple. Finally, it is proved that YD （H） is a sernisimple category.

Bawei Biotechnology Listed

On Mar.29th,2024,Bawei Biotechnology was listed at Beijing Stock Exchange.So far,Bawei Biotechnology has smoothly become“the first cosmetics OEM listed at Beijing Stock Exchange”,as well as the first A-share cosmetics enterprise listed in 2024.At the opening quotation,the stock price increase of Bawei Biotechnology exceeded 200%,and the total market value exceeded 1.4 billion yuan.Bawei Biotechnology mainly engages in the R&D,production,sales and detection of cosmetics,with the product category covering skin care product,facial mask,toiletry,and makeup.So far,it has served a total of 1,000 cosmetics brands,including Unilever,Renhe Ingenuity,HBN,SKINTIFIC,Marubi Biotechnology,PROF.

Postnatal Total Serum Protein Concentration Influences the Health and Growth Parameters of Preweaned Female Holstein Friesian Calves

This study focuses on the effect of the total serum protein(TSP)concentrations at 3 days after birth on the health and growth parameters of preweaned female Holstein Friesian calves.A total of 165 female calves were enrolled and evaluated for morbidity which included diarrhea(D),respiratory disease(Rd)and omphalitis(O).Also,calves with more than one disorder in the same time were recorded as multi-morbid.Body weight(BW)was determined at birth,30 and 60 days of age.Blood samples were taken at 3 days after birth and TSP was determined using a digital Brix refractometer.For statistical analysis all female calves based on TSP concentration were grouped into 3 categories:1-TSP≥6.2 g/dL,2-TSP 5.8-6.1 g/dL,and 3-TSP<5.8 g/dL.Overall,the average of TSP concentration was 6.38 g/dL.The prevalence of diarrhea,respiratory disease(Rd)and omphalitis(O)was 16.96%,7.88%and 4.85%respectively,in calves with one disorder and 6.06%in calves with D+Rd,3.64%in calves with Rd+O,3.03%in calves with O+D,and 3.64%in calves with D+Rd+O.As the TSP concentration in calves decreased from≥6.2 g/dL to<5.8 g/dL the calf hood disorders increased in female calves with one disorder and with more than one disorder.The female calves with fair to poor immunity(category 3-TSP<5.8 g/dL)were significantly more likely(OR 6.28,95%CI 2.91-13.5,p value<0.001)to be affected by diseases compared with female calves with excellent immunity(category 1-TSP≥6.2 g/dL).Also BW and average daily gain(ADG)at 30 and 62 days of life decreased as TSP concentrations decreased.The female calves with TSP≥6.2 g/dL at 3 days of life had the greatest BW at 30 and 62 days of age(51.8 kg and 77.1 kg respectively)compared with female calves with TSP<5.8 g/dL at 3 days of life(46.6 and 70.6 kg respectively).Moreover,starter feed intake during the first 30 days of life,31 to 62 days of life and 1 to 62 days of life was greater in female calves with excellent immunity(TSP≥6.2 g/dL)than female calves with good immunity(TSP 5.8-6.1 g/dL)or with fair to poor immunity(<5.8 g/dL TSP).Measuring the TSP at 3 days of calf’s This study focuses on the effect of the total serum protein(TSP)concentrations at 3 days after birth on the health and growth parameters of preweaned female Holstein Friesian calves.A total of 165 female calves were enrolled and evaluated for morbidity which included diarrhea(D),respiratory disease(Rd)and omphalitis(O).Also,calves with more than one disorder in the same time were recorded as multi-morbid.Body weight(BW)was determined at birth,30 and 60 days of age.Blood samples were taken at 3 days after birth and TSP was determined using a digital Brix refractometer.For statistical analysis all female calves based on TSP concentration were grouped into 3 categories:1-TSP≥6.2 g/dL,2-TSP 5.8-6.1 g/dL,and 3-TSP<5.8 g/dL.Overall,the average of TSP concentration was 6.38 g/dL.The prevalence of diarrhea,respiratory disease(Rd)and omphalitis(O)was 16.96%,7.88%and 4.85%respectively,in calves with one disorder and 6.06%in calves with D+Rd,3.64%in calves with Rd+O,3.03%in calves with O+D,and 3.64%in calves with D+Rd+O.As the TSP concentration in calves decreased from≥6.2 g/dL to<5.8 g/dL the calf hood disorders increased in female calves with one disorder and with more than one disorder.The female calves with fair to poor immunity(category 3-TSP<5.8 g/dL)were significantly more likely(OR 6.28,95%CI 2.91-13.5,p value<0.001)to be affected by diseases compared with female calves with excellent immunity(category 1-TSP≥6.2 g/dL).Also BW and average daily gain(ADG)at 30 and 62 days of life decreased as TSP concentrations decreased.The female calves with TSP≥6.2 g/dL at 3 days of life had the greatest BW at 30 and 62 days of age(51.8 kg and 77.1 kg respectively)compared with female calves with TSP<5.8 g/dL at 3 days of life(46.6 and 70.6 kg respectively).Moreover,starter feed intake during the first 30 days of life,31 to 62 days of life and 1 to 62 days of life was greater in female calves with excellent immunity(TSP≥6.2 g/dL)than female calves with good immunity(TSP 5.8-6.1 g/dL)or with fair to poor immunity(<5.8 g/dL TSP).Measuring the TSP at 3 days of calf’s life,offers information directly correlated to an individual calf’s immunity status,their likeliness of morbidity,mortality and body development and overall the effectiveness of the colostrum management program in the dairy farm.life,offers information directly correlated to an individual calf’s immunity status,their likeliness of morbidity,mortality and body development and overall the effectiveness of the colostrum management program in the dairy farm.

Statistical Analysis of Accident Proneness of Drivers

A mathematical model describing the risks of road accidents has been built on the basis of statistical data of drivers’ accident rate. It has been revealed that drivers can be divided by the degree of their accident proneness into four categories with sharply differing probabilities of road accidents. It has been shown that there is a possibility of classification of drivers in accordance with specified categories.

The Application Value of Ultrasound Imaging in the Differential Diagnosis of Benign and Malignant Breast Nodules of BI-RADS 3 and Above

Objective:To explore the diagnostic value of ultrasound imaging for breast nodules of breast imaging-reporting and data system(BI-RADS)category 3 and above.Methods:From June 2021 to July 2022,163 patients with breast nodules of BI-RADS 3 or above were selected as the research subjects.After pathological diagnosis,24 cases were malignant breast nodules of BI-RADS 3 or above,while 139 cases were benign breast nodules of BI-RADS 3 or above.The diagnosis rate of malignant and benign breast nodules of BI-RADS 3 or above,including 95%CI,was observed and analyzed.Results:The malignant and benign detection rates of conventional ultrasound were 88.63%and 75.00%,respectively,and the malignant and benign detection rates of ultrasound imaging were 93.18%and 87.50%,respectively,with 95%CIs greater than 0.7.Conclusion:Ultrasound imaging can help improve the diagnostic accuracy of benign and malignant breast nodules of BI-RADS 3 and above and reduce the misdiagnosis rate.

The Report of Homological Algebra

The current article intends to introduce the reader to the concept of injective and projective modules and to describe the CFT. We present a clear view to show the homological algebra and injective and projective modules.

A Study on the Correlation Between LIWC Word Categories and Chinese Composition Writing Performance of Fourth,Fifth,and Sixth Grade Students

This study focuses on the analysis of the Chinese composition writing performance of fourth,fifth,and sixth grade students in 16 selected schools in Longhua District,Shenzhen during the spring semester of 2023.Using LIWC(Linguistic Inquiry and Word Count)as a text analysis tool,the study explores the impact of LIWC categories on writing performance which is scaled by score.The results show that the simple LIWC word categories have a significant positive influence on the composition scores of lower-grade students;while complex LIWC word categories have a significant negative influence on the composition scores of lower-grade students but a significant positive influence on the composition scores of higher-grade students.Process word categories have a positive influence on the composition scores of all three grades,but the impact of complex process word categories increases as the grade level rises.

A Study of English Neologisms in 2015 Based on the Prototype Category Theory

With the development of science and technology, large quantities of neologisms are created. Neologisms are the result of people's conceptualization of new things based on their life experiences. Cognitive linguistics views that categorization of organisms and concrete objects are based on the prototype category. This paper takes 167 English Neologisms from Wordspy in2015 as the data for analysis and finds that these English Neologisms are characterized by family resemblances, degree of membership in category and boundary fuzziness from the view of prototype category theory. This study also has some implications for the research of English language teaching and learning.

Monoidal Category Approach to Dual Hom-quasi-Hopf Algebras

In this paper, we categorify a Hom-associative algebra by imposing the Homassociative law up to some isomorphisms on the multiplication map and requiring that these isomorphisms satisfy the Pentagon axiom, and obtain a 2-Hom-associative algebra. On the other hand, we introduce the dual Hom-quasi-Hopf algebra and show that any dual Homquasi-Hopf algebras can be viewed as a 2-Hom-associative algebra.

Category of Generalized Intuitionistic Fuzzy Sets

In this paper, category GIFS of generalized intuitionistic fuzzy sets(GIF) is built up. Topoi properties of category GIFS are studied. Firstly, it is proved that the category GIFS has all topoi properties except that it has no subobject classifiers, Secondly, it is proved that the category GIFS has middle object and consequently GIFS is a weak topos. Thirdly, by the use of theory of weak topos GIFS, the power object of an object in GIFS is studied.

Stable t-structures and Homotopy Category of Strongly Copure Projective Modules

In this paper, we study the homotopy category of unbounded complexes of strongly copure projective modules with bounded relative homologies K;（SCP）.We show that the existence of a right recollement of K;（SCP） with respect to K;（SCP）, K;（SCP） and K;（SCP） has the homotopy category of strongly copure projective acyclic complexes as a triangulated subcategory in some case.

ADS-B Category 021报文解析软件的设计与实现

由于ADS-B设备相比雷达和遥测遥控具有低成本、小型化和通用性的优点,且能够对长航时、远距离的飞行目标进行监控,文章规划了Category 021报文的引入方案,对Category 021报文格式进行分析,重点设计开发了Category 021报文解析软件,通过接收并处理ADS-B地面站传送的目标航迹数据,实现了ADS-B信号中合作目标航迹数据的提取与显示,并进行了测试验证。测试结果表明:该方案能有效地实现对飞行目标的快速跟踪监视,增强了对飞行目标的监控手段。