bluuebunny/crossref_metadata_2025_split huggingface dataset:
Oral administration of an extended-release formulation of nitrofurantoin results in high concentrations in the urine of dogs
Authors: Meyer Emma G. , Bozynski Chantelle , Essel Leslie Brian , Cohn Leah , Davis Jennifer L. 
Published: April 2023

Abstract

OBJECTIVE
Sporadic bacterial cystitis in both dogs and humans is often caused by Escherichia coli. In humans, nitrofurantoin is a first-line antimicrobial for the treatment of bacterial cystitis but in dogs a lack of available data may be part of the reason it is only recommended as a second-line treatment. The objective of this preliminary study was to determine the plasma pharmacokinetics and urine concentrations of nitrofurantoin monohydrate-macrocrystalline in dogs.

ANIMALS
8 healthy female hound dogs.

PROCEDURES
From July 26 to July 28, 2021, dogs received a single oral dose of nitrofurantoin monohydrate-macrocrystalline 100 mg with food. Blood and urine were collected at predetermined times. Nitrofurantoin concentrations were assayed by UPLC-MS/MS and plasma data were analyzed using noncompartmental methods.

RESULTS
Plasma concentrations were low for all dogs with a mean ± SD maximum concentration (Cmax) of 0.242 ± 0.098 μg/mL (range, 0.14 to 0.42 µg/mL) occurring between 2 and 24 hours. Urine concentrations were manyfold higher than for plasma. Cmax in urine was 134 ± 54 µg/mL (range, 49.1 to 218 µg/mL) occurring between 6 and 36 hours. As seen in other species, nitrofurantoin concentrated in urine with concentrations being 500 times higher than the concentration in plasma.

CLINICAL RELEVANCE
Results suggested that nitrofurantoin monohydrate-macrocrystalline formulation of nitrofurantoin should be effective in treating bacterial cystitis caused by susceptible uropathogens.
Assessing major influences on decision-making and outcome for dogs presenting emergently with nontraumatic hemoabdomen
Authors: Menard Jenna V. , Sylvester Skylar R. , Lopez Daniel J. 
Published: April 2023

Abstract

OBJECTIVE
To evaluate factors contributing to owner decision-making, satisfaction, and perception of quality of life (QOL) with treatment of dogs with nontraumatic hemoabdomen (NTH).

ANIMALS
132 client-owned dogs.

PROCEDURES
An electronic survey was administered to owners of 436 dogs that presented emergently with NTH to a single institution between January 2015 and May 2022. Following survey response, retrospective data collection was performed.

RESULTS
Owners reported QOL as the most important factor influencing their decision-making (92%), followed by risk of cancer (57%) or time remaining with their pet (56%). QOL scores were significantly higher with surgery versus those with palliative care (P = .007). Median survival time (MST) was 213 days with surgery and 39 days with palliative care (P = .049). Survival benefit of surgery was lost when considering only dogs with malignant histopathology (MST, 81 days; P = .305). Owners were more likely to be satisfied when they chose surgery over either euthanasia or palliative care (P = .039). Thirty-four owners (26%) second-guessed or were unsure of their decision.

CLINICAL RELEVANCE
Surgery resulted in the longest MST with greater perceived QOL and owner satisfaction compared with both palliative care and euthanasia and should therefore be considered highly. The importance of malignancy and survival time on owners’ decisions, along with the negative impact of metastasis on survival, underscores the importance of timely preoperative staging. The rate of second-guessing highlights the need for standardization of NTH discussions including treatment options and potential outcomes in order to effectively and efficiently guide treatment of patients with this common presentation.
Expression of selected cytokeratins in human placenta - a preliminary observational study
Authors: Domagała Zygmunt , Mrożek Andrzej , Piotrowska Aleksandra , Olesińska Natalia , Domański Jurand , Kobierzycki Christopher , Thelen Michelle , Śliwa Jakub 
Published: April 2023

Abstract
Every human body is made up of billions of cells, and every cell consists of thousands of microscopic structures. Thanks to the presence of the cytoskeleton, which is built by microfilaments, microtubules, and intermediate filaments, cells are able to fulfill their main function. Dozens of genes encode a large family of cytoskeletal proteins, which form 10-nanometer-long microfilaments, called cytokeratins.
The study was carried out on seven mature human placentas without significant pathology - all eligible mothers were healthy. The collection of basic anthropometric data preceded the dissection of the placentas. Paraffin blocks were made in the usual manner, and hematoxylin and eosin-stained slides were made afterward. Immunohistochemical reactions were performed and the expression of the studied markers was evaluated independently by two observers.
Evaluation of microscopic material revealed the absence of expression of antibodies for cytokeratin 5/6 in placental tissues. Moreover, strong expression of cytokeratin 7 was demonstrated in the villi trophoblast in all types of villi. Immunohistochemical reactions were observed in the mesenchyme within the blood vessel wall, as well as in the extravascular tissue.
The human placenta is an organ that only exists during the intrauterine period of human development and undergoes rapid changes and dynamic growth during pregnancy. These types of processes define selected placental cells as ‘pseudo-tumorigenic tissue’ because of the numerous similarities trophoblast cells have to tumor cells. The use of tissue microarray (TMA) in combination with immunohistochemistry (IHC) may be a valuable approach to validate the predictive and diagnostic utility of various biomarkers in non-cancerous tissues like placental tissue.
Visual Communication Effect Modeling of Public Service Advertisements Based on Fractional Differential Equations
Authors: Yu Yawei , Tan Yulin 
Published: April 2023

Abstract
This paper establishes the visual communication effect model of public service advertisement based on a fractional differential equation. In this paper, a guided filter is used to smooth the image and improve the grayscale phenomenon of the image. Then this paper adopts a method based on wavelet transform to obtain the reference line of the target point source. This achieves the suppression of the background baseline of the target point. Finally, this paper extracts the edge detail feature value in the public service billboard, which realizes the fusion recognition of the missing part in the advertising image. Then this paper transforms it into the problem of separating the object's foreground from the image's background. Finally, this paper uses an improved nonlinear diffusion method to suppress the tiny image detail signal. Experiments show that the algorithm has good optical transmission performance and is not limited by the size of public service advertisement images.
A method to predict whether middle school students will enter STEM careers in the future based on FC-Wide&Deep model
Authors: Liu Sidan , Peng Peng , Cao Lei 
Published: April 2023

Abstract
STEM education is a hot issue in modern education, and it is important to study whether middle school students enter STEM careers in the future in the early stage of career planning. In this paper, we collected students’ behavioral data through the online tutoring platform ASSISTments, divided the raw log data into five types: single-valued, binary-valued, multi-valued, continuous-valued and cumulative, and aggregated them using different data reconstruction methods. Then, a width & depth prediction model based on feature crossover is proposed to perform feature crossover on the aggregated data, and then the depth and width models are jointly trained using. During the training process, the AUC of the FC-Wide&Deep model improved rapidly from 0.800 to 0.845 in the 1st to 16th training rounds, and then slowly climbed with the increase of training rounds. By averaging the results of the three tests, the AUC index of the FC-Wide&Deep model test results improved by 1.29% compared to the DNN model, and the RMSE index improved by 2.08% compared to the BSN-FM model. The FC-Wide&Deep model is generalizable and generalizable, and can be applied to predict whether students will enter STEM careers in the future, thus contributing to the cultivation and leadership of STEM talents in the field of education.
The Calculation of Sports Injury Sensitivity of Martial Arts Athletes Based on ROC Curve
Authors: Wang Qinglong , Sui Yong 
Published: April 2023

Abstract
Martial arts is a comprehensive sport. It requires the athlete to have speed, explosiveness, and coordination. Injuries are common among athletes in martial arts training. In this paper, the mathematical statistics method of the ROC curve is used to predict athletes’ sports injuries. At the same time, the author uses the firefly algorithm to establish the relevant factors for evaluating the degree of foot and ankle injury of martial arts athletes. In this way, the fitness function of the damage degree evaluation index is obtained. Finally, this paper verifies the effectiveness of the method by computer simulation. The mathematical statistics method of the ROC curve and the firefly algorithm-based injury evaluation method for martial arts players have particular guiding significance for improving the technical ability of Chinese martial arts players.
Construction of a social audit platform based on big data for “industry price, quality and credit”
Authors: Ma Rui 
Published: April 2023

Abstract
As the latest product of the innovative integration of information technology, big data has had a huge impact on many fields. Big data technology has changed the traditional audit method, expanded the scope and field of auditing, and injected vitality into the national big data audit work. Full audit coverage has given social auditing a new mission and posed new challenges to creating mega data audit platforms. Driven by the overall goal of full audit coverage, the construction and innovation of a big data audit platform are particularly important. This subject combines data-related technologies and uses more mature data mining algorithms to try to establish an audit platform, and analyzes the three aspects of requirements, concepts and strategies for building an audit platform, dividing it into five modules: data center, acquisition, pre-processing, analysis and data visualization. The research results show that by predicting the revenue indicators of Company A, the overall error of the prediction results of the big data audit platform is controlled at 0.79%, which is better than 8.42% of the traditional audit model; by scoring the two audit models, the score of the big data audit method is 0.7024 higher than that of the traditional model, which is 0.3933, indicating that its accuracy, efficiency comprehensiveness, sustainability, and low risk are In this way, this paper explores a new effective audit path and method, which provides a good basis for the enterprise’s “industry price, quality and trust payment” and guides the way forward for future mega Data audits.
Analysis and elaboration of enterprise management innovation path based on logistic regression perspective
Authors: Zhao Jia 
Published: April 2023

Abstract
Based on the lack of management level and other problems in enterprise management innovation, this paper analyzes the innovation pathway of enterprise management by logistic regression algorithm. Firstly, the management pathway is set as a data set, and the feature vector of the model is defined, the probability model of logistic regression is derived from the input data vector, and the model defines the likelihood probability of the training set. Then the log-likelihood function of the logistic regression model with beta distribution is calculated, the feature weights of the data set are obtained using this function, and finally, the effective countermeasures of enterprise management innovation pathways under logistic regression are obtained according to these weights. The results show that by examining the variance comparison of different enterprise properties, private and sole proprietorship enterprises have the highest scores in the external organizational management factors, 3.86 and 3.72, respectively. The factors in the strategic technological capability have the lowest scores compared with other factors. It can be seen that the construction of comprehensive innovation management capability of enterprises is a long-term accumulation process, and the logistic regression algorithm helps enterprises to develop feasible innovation management pathway strategies according to their capabilities.
Analysis and Research on Technical and Tactical Action Recognition in Football Based on 3D Neural Network
Authors: Feng Chao , Wang Leitao 
Published: April 2023

Abstract
The current action recognition analysis method is easily affected by factors such as background, illumination, and target angle, which not only has low accuracy, but also relies on prior knowledge. Research on the identification and analysis of technical and tactical movements in football. According to the characteristics of football video, a multi-resolution three-dimensional convolutional neural network is constructed by combining the convolutional neural network and the three-dimensional neural network. The supervised training algorithm is used to update the network weights and thresholds, and the video images are input into the input layer. After the convolutional layer, sub-sampling layer and fully connected layer and other network layers to obtain action recognition results. The principal component analysis method is used to reduce the dimension to process the action data set, and the Fourier transform method is used to filter out the principal component noise. The experimental results show that the method can effectively identify the technical and tactical movements of athletes from complex football game videos, and analyze the applied technical and tactical strategies. The average value of accuracy, recall and precision of technical and tactical analysis is as high as 0.96, 0.97, and 0.95, and the recognition and analysis effect has significant advantages.
Electronic properties of diamond semiconductor materials: based on response surface model
Authors: Bi Sheng , Ye Xiaoying , Shao Yang 
Published: April 2023

Abstract
Diamond, a wide bandgap semiconductor material, has excellent physicochemical properties. It has great potential for application in high temperature, high frequency, high power electronic devices and other high technology fields. In order to study the electronic properties of diamond more precisely, an AM-response surface model is developed in this paper to investigate the electronic structures of diamond, P-doped diamond and N-doped diamond surfaces in depth. It is shown that there are three forms of charge states in the single vacancy on the diamond surface. When E=0 V, the negative charge energy level is -0.5 mV, the positive charge is 1 mV, and the zero level remains 0. And its energy level is unstable. In contrast, the double vacancy charge on the diamond surface varies depending on the valence band taken by E, and only one charge state exists. When E<0, the diamond surface vacant electron nature is negative charge state. When E>0, it is positive charge energy level. The electronic properties of the P-doped diamond semiconductor material are calculated to have a constant positive charge (1 mV). The electronic property of N-doped diamond semiconductor material is constant negative charge (-1mV).
Deep learning techniques in modern women’s smart clothing design
Authors: Ke Huiming , Wang Yang 
Published: April 2023

Abstract
With the rapid upgrade of AI in today’s era, the technology of designing garments by merely taking measurements of women’s clothing through traditional pattern makers followed by hand-drawn clothing style patterns by clothing designers has become increasingly inadequate to meet people’s needs. In this paper, the study of super-resolution reconstruction technology according to deep learning improves the resolution of women’s clothing style images and helps to save production costs. The overall clothing style migration method, according to the optimization DCGAN algorithm, improves the efficiency of intelligent design of women’s clothing. It is shown that the reconstruction time of a clothing style image can be completed in only 0.26s, which is much smaller than the reconstruction time of the SRCNN convolutional neural network algorithm, which is 4.30s. The loss value of the live network is 0.79, the loss value of the classical network is 1.23, and the loss value of the optimization algorithm is 0.48. The algorithm in this paper has the smallest training loss value. Therefore, the use of deep learning technology can solve the problem of traditional women’s apparel design, relying on the designer’s experience and inspiration and generating design solutions intelligently.
Evaluation Mechanism of Teaching Staff’s Building in Local Vocational Colleges Based on Big Data Technology
Authors: Dai Jingjing , Chen Mingxuan 
Published: April 2023

Abstract
With the improvement of information technology, all industries have developed rapidly. However, the education industry is lagging behind in the process of informationization. Most still follow the educational paradigm of the past, where teachers rely on personal experience to make judgments and teaching decisions for students, just like a blind man feeling like an elephant. In this paper, we design a teaching quality monitoring and evaluation strategy according to the K-modes algorithm in big data technology, which is a dynamic data collection and intelligent analysis based on the learning process and learning effectiveness, ensuring data authenticity and also realizing multi-dimensional data collection and multi-angle evaluation and analysis, and finally comparing each index of three different algorithms. It is verified that the minimum error sum of squares of the optimized K-modes algorithm is 711, and the correct rate is 0.97, while the values of this metric for the other two algorithms are 1587 and 986, and the correct rates are 0.91 and 0.92, respectively. Therefore, the designed mechanism is a system with a superior evaluation effect and a feasible prediction model for faculty development in local vocational colleges.
Air data computer simulation and design credibility assessment considering ADC calculation model
Authors: Zhang Kexing , Zhang Zhenzhen 
Published: April 2023

Abstract
Air data computer simulation system is a platform for studying aircraft air data system. It can also replace real air data computer and can be used in the experiment of ground integrated avionics system, which greatly reduces the cost and risk of the experiment. However, when the simulation system replaces the real system, whether its reliability, integrity and other indicators can meet the requirements becomes the key to the problem. Based on computer simulation theory and simulation credibility evaluation theory, this paper designs and implements two types of atmospheric data computer simulation systems and evaluates the credibility of the simulation systems. The basic theory of computer simulation and the general process of simulation are expounded, the evaluation theory of simulation credibility is introduced, and the evaluation calculation method of simulation credibility is given. The results show that the highest reliability of the reliability evaluation using the method in this paper reaches 90%, the highest error rate is 0.06%, and the average accuracy, efficiency and complexity of the hundred experiments are 97.31% and 97.00% and 0.154%. The highest reliability of the subjective comprehensive evaluation algorithm for reliability evaluation is 65%, the highest error rate is 0.27%, and the average accuracy, efficiency and complexity of the hundred experiments are 70.59% and 69.74%, and 0.502%. Therefore, the method in this paper not only has high reliability, low error rate, but also has strong comprehensive effectiveness.
Research on education management system based on machine learning and multidimensional data modeling
Authors: Xu Qiaonan , Deng Hui 
Published: April 2023

Abstract
With the rapid development of modern information technology, especially the continuous improvement of computer network technology, the application of education management system in teaching is becoming more and more extensive. Therefore, education management system and machine learning will become an important combination direction of education. First, design and implement a complete network education management system based on B/S architecture, and design from the overall system design, detailed design and database design. Among them, the computer language combined with the SQL Server database realizes the network teaching function and the education system management function. Then, PSO-SVM machine learning is adopted to make personalized learning course recommendation for students. Multi-dimensional data analysis and feature extraction. Finally, the PSO-SVM proposed in this paper is applied to the education management system for modeling training, and compared with other traditional machine learning personalized recommendation accuracy and likeness of learning course recommendation. The experimental results show that the PSO-SVM proposed in this paper is superior to other traditional machine learning models in terms of personalized learning course recommendation and favorability, with an accuracy rate of 94.7%.
Model Construction of Influencing Factors of Physical Education Core Quality Cultivation Based on Multiple Linear Regression
Authors: Cheng Wenlong 
Published: April 2023

Abstract
This paper mainly discusses the formation and development of the core literacy of sports majors. Then, this paper establishes the factor model that affects the professional quality of youth sports employing multiple linear regression analysis. First, this paper uses factor analysis to observe 19-factor patterns. After the maximum variance rotation method, four dimensions were determined from the factor loading matrix, and confirmatory factor analysis was performed. Finally, this paper uses the multiple linear regression method to establish young students’ core literacy education model. This paper analyzes the model and draws the influence of four factors of school, family, society and individual on adolescents.
The success rate model of college students’ new entrepreneurship based on nonlinear differential equations
Authors: Nie Yuanyuan , Tian Zhu , Li Weixuan 
Published: April 2023

Abstract
In order to evaluate the success rate of students’ entrepreneurship more effectively based on a nonlinear differential equation, the author proposes a model for evaluating the success rate of students’ entrepreneurship based on a nonlinear differential equation. These models allow for a score set on the cost of higher education entrepreneurship and determine all higher education entrepreneurship based on it, realizing the cost optimization of higher education entrepreneurship. The simulation results show that the model has scoring and improved student entrepreneurship.