bluuebunny/crossref_metadata_2025_split huggingface dataset:
ChatGPT and Google Assistant as a Source of Patient Education for Patients With Amblyopia: Content Analysis
Authors: Wu Gloria , Lee David A , Zhao Weichen , Wong Adrial , Jhangiani Rohan , Kurniawan Sri 
Published: April 2024

Background
We queried ChatGPT (OpenAI) and Google Assistant about amblyopia and compared their answers with the keywords found on the American Association for Pediatric Ophthalmology and Strabismus (AAPOS) website, specifically the section on amblyopia. Out of the 26 keywords chosen from the website, ChatGPT included 11 (42%) in its responses, while Google included 8 (31%).

Objective
Our study investigated the adherence of ChatGPT-3.5 and Google Assistant to the guidelines of the AAPOS for patient education on amblyopia.

Methods
ChatGPT-3.5 was used. The four questions taken from the AAPOS website, specifically its glossary section for amblyopia, are as follows: (1) What is amblyopia? (2) What causes amblyopia? (3) How is amblyopia treated? (4) What happens if amblyopia is untreated? Approved and selected by ophthalmologists (GW and DL), the keywords from AAPOS were words or phrases that deemed significant for the education of patients with amblyopia. The “Flesch-Kincaid Grade Level” formula, approved by the US Department of Education, was used to evaluate the reading comprehension level for the responses from ChatGPT, Google Assistant, and AAPOS.

Results
In their responses, ChatGPT did not mention the term “ophthalmologist,” whereas Google Assistant and AAPOS both mentioned the term once and twice, respectively. ChatGPT did, however, use the term “eye doctors” once. According to the Flesch-Kincaid test, the average reading level of AAPOS was 11.4 (SD 2.1; the lowest level) while that of Google was 13.1 (SD 4.8; the highest required reading level), also showing the greatest variation in grade level in its responses. ChatGPT’s answers, on average, scored 12.4 (SD 1.1) grade level. They were all similar in terms of difficulty level in reading. For the keywords, out of the 4 responses, ChatGPT used 42% (11/26) of the keywords, whereas Google Assistant used 31% (8/26).

Conclusions
ChatGPT trains on texts and phrases and generates new sentences, while Google Assistant automatically copies website links. As ophthalmologists, we should consider including “see an ophthalmologist” on our websites and journals. While ChatGPT is here to stay, we, as physicians, need to monitor its answers.
Histofilosis en bovinos: microbiología, epidemiología y patología
Authors: Aguilar Romero Francisco , Suarez Guemes Francisco , Trigo Tavera Francisco José 
Published: April 2024

La histofilosis es un grupo de enfermedades que padecen los rumiantes domésticos y silvestres, producida por Histophilus somni (antes Haemophilus somnus); una bacteria gram negativa, considerada un microorganismo patógeno oportunista que habita en las mucosas de los rumiantes. Afecta principalmente al tracto respiratorio y reproductivo, así como al sistema nervioso central, también se asocia a diversos trastornos generalizados como miocarditis, poliartritis, conjuntivitis, coroiditis, mastitis, epididimitis, otitis y septicemia. El objetivo de esta revisión es presentar información actualizada de este grupo de enfermedades que afecta a los bovinos, abordando las características del agente etiológico, sus principales factores de virulencia, aspectos epidemiológicos y la patogenia de la infección. Adicionalmente, se incluye la distribución de la enfermedad a nivel mundial, su diagnóstico, prevención y control.
Veterinary anesthesia: an opportunity to reduce the environmental footprint of clinical care
Authors: Viola Lindsey , Quintana Joedy , Sanchez Valeria , Scott Danielle , Griffenhagen Gregg M. , Duncan Colleen 
Published: April 2024

Abstract
Volatile anesthetic agents are potent greenhouse gases with warming potential hundreds to thousands of times greater than CO2. As health systems, both human and veterinary, seek to reduce their environmental impacts, responsible anesthetic stewardship is a topic of great interest. Through an online survey, we explored the levels of awareness, beliefs, interest, needs, and current actions of veterinary anesthesia professionals around the climate impacts of anesthetic care. We found that even within a respondent group with specialized training and experience, there were significant knowledge gaps about anesthesia’s environmental impacts. We also found there is much interest in learning more about climate-friendly anesthesia and broader sustainability initiatives for the veterinary profession. Fortunately, there already exist many ways for the profession to reduce our environmental impact while still providing excellent patient care. In this article, we explore 5 broad categories of action: (1) reducing the overall quantity of anesthetic agent used; (2) choosing lower-impact anesthetics; (3) considering the fate of the anesthetic end product; (4) expanding learning through formal education, experience, and research; and (5) reaching beyond anesthesia to implement a range of sustainability initiatives at veterinary workplaces. Together, we have an opportunity to create a healthier future for our world, our patients, and each other.
Involvement of veterinary students in the placement of intravenous catheters in adult horses in a teaching hospital does not significantly increase the rate of catheter complications
Authors: Hepworth-Warren Kate L. , Erwin-Craig Sara J. , Love Kim 
Published: April 2024

Abstract

OBJECTIVE
To determine whether student involvement in intravenous catheter (IVC) placement increases the risk for complications and to report the rate and types of complications associated with IVCs in adult horses in a university teaching hospital.

ANIMALS
455 IVCs placed in 394 horses.

METHODS
Data relevant to IVC placement and removal were retrieved from an electronic medical record search including records of adult horses from January 1 to December 31, 2022. Data retrieved from records included the role of the individual who prepared the site and placed the IVC, site of IVC placement, and type of IVC. The reason for removal of the IVC and presence or absence of detectable changes within the vein at the time of removal were documented in addition to clinical data, allowing for classification of each case. Data were reviewed retrospectively, and statistical analyses were performed using mixed-effects logistic regression models. Significance was set at P ≤ .05.

RESULTS
The overall rate of complications was 15.6%, and the most common type of complication was swelling of the vein. Students were involved in 87 of 455 IVC site preparations and placements, and there were no statistically significant differences in complication rates between IVC sites prepared or placed by veterinary students versus nonstudent personnel.

CLINICAL RELEVANCE
Veterinary personnel and clients may be hesitant to allow student involvement in IVC placement in horses, but these data suggest that student involvement does not increase the risk of IVC complications.
A ventral diaphragmatic advancement technique to repair a large congenital peritoneopericardial diaphragmatic hernia in a dog
Authors: Hennet Julie , Field Elinor 
Published: April 2024

Abstract

OBJECTIVE
To report a ventral diaphragmatic advancement technique to repair a large congenital peritoneopericardial diaphragmatic hernia in a dog.

ANIMAL
A 5-month-old 15-kg entire male Labrador Retriever.

CLINICAL PRESENTATION, PROGRESSION, AND PROCEDURES
The dog presented with a history of diarrhea for a week and acute-onset lethargy and vomiting for 3 days. Clinical examination revealed borborygmi on auscultation of the chest, and subsequent imaging showed a congenital peritoneopericardial diaphragmatic hernia.

TREATMENT AND OUTCOME
The ventro-central diaphragmatic defect was repaired with a pericardial flap, which subsequently failed 7 months later. The revision surgery was performed with a novel surgical technique. The defect was closed by means of incising the ventral attachments of the diaphragm either side of the defect and sliding it medially to allow a tension-free closure. The ventral aspect of the incised diaphragm was reattached with circumcostal sutures and the central defect closed. The dog recovered rapidly and without complication. An excellent outcome was reported after surgery.

CLINICAL RELEVANCE
This novel technique was a simple method to repair a peritoneopericardial diaphragmatic hernia and had good clinical results in this case.
Optimization analysis of blockchain technology in enterprise digital financial management
Authors: Liu Fuling , Li Ruiyao 
Published: April 2024

Abstract
The rise of mobile Internet has not only changed the business model of many enterprises, but also had a profound impact on the financial management model of enterprises. Based on this, this paper applies blockchain technology to enterprise financial management, using decision trees and information entropy alignment to optimize and promote its digital transformation. Regarding optimizing financial management processes, blockchain technology converts the enterprise’s financial management data into a distributed ledger. It integrates it with information entropy to create a digital financial data decision tree. This paper takes enterprise A as the research object, after optimizing the financial management process with blockchain technology, enterprise A’s financing ability is enhanced, and the current ratio as a whole maintains an upward state, reaching a maximum value of 0.86 in 2021, and then it has been maintained at about 0.8, indicating that the optimized short-term solvency capacity has been significantly improved. The total debt amount of enterprises is decreasing yearly, falling to 35.26 billion yuan in 2023. The amount of owners’ equity has shown an upward trend and has remained at a high level of 25 billion yuan since 2021. Therefore, blockchain technology strengthens the financial management capabilities of enterprises and explores a feasible path to reduce investment risks.
A study of visual attention patterns of snow and ice athletes based on eye-tracking technology
Authors: Liu Pengyu , Zhang Hui 
Published: April 2024

Abstract
The visual system has a strong information processing ability, and visual attention tracking has various applications in various scenes. This paper mainly focuses on the sports scene of ice and snow far mobilization. It constructs a visual attention system model based on eye tracking. It first establishes an eye tracking system framework using deep learning, and improves the gaze estimation by optimizing the feature extraction network. The visual attention system model was constructed using particle filtering based on motion feature cognition. In the eye-tracking visual attention system model experiments, the Accuracy of the improved eye-tracking system in this paper can be significantly improved to 1.13°, and the error of the visual attention system can be kept within 10°. Furthermore, the four ice and snow sports scene types have an average accuracy of 85.47%, and the constructed model performs well. This study offers a guide for effectively combining eye tracking technology and visual attention.
Integration Construction of Teaching Resource Library for Art and Design Majors under Interactivity Orientation
Authors: Lai Weicheng , Li Jiaxin , Lai Weiliang , Yang Xiaoqi 
Published: April 2024

Abstract
Building a well-rounded teaching resource platform for art design majors is essential for improving the quality and accessibility of educational materials. In this research, we used an innovative method, the LSTM-CRF model, to better understand what learners need and match these needs with relevant teaching materials. We also developed a new way to evaluate the effectiveness of our teaching resources, using an intelligent algorithm to find out how good the content really is. Our findings show that our resources score highly in areas like the quality of content, how often it’s updated, how personalized it is, and how well it’s promoted, with scores of 4.29, 4.24, 4.24, and 4.25, respectively. Interestingly, we found that student satisfaction varies significantly by their year in school and where they come from. This research not only sets the stage for future advancements in teaching resources for art and design but also suggests ways to make these resources even better.
Exploring the synergistic development strategy of vocational education and regional economy based on the separating equilibrium game model
Authors: Li Jiangwei , Wu Yang 
Published: April 2024

Abstract
To promote the synergistic development of vocational education and regional economy, this paper proposes to use the separated equilibrium game model to study vocational education and regional economy. Starting from the theoretical foundation of the components of game theory, the separated equilibrium game model oriented to the synergistic development of vocational education and regional economy is constructed by combining the game tree and the separated equilibrium game. According to the calculation formula for evolutionary stabilization strategies and equilibrium analysis, the case analysis of vocational education and regional economies is conducted. The results show that when W2 is taken as 2, 3, or 4, the system evolves towards antagonistic cooperation, but evolution is becoming increasingly slow. When W2=6, the two sides of the school and enterprise choose the strategy tends to (positive cooperation, positive cooperation), which indicates that in the school-enterprise cooperation, the government departments through tax concessions, capital subsidies and other incentives to improve the enthusiasm of enterprises is an effective method. This study analyzes the dispute of interests of school-enterprise cooperation in vocational education development from the game perspective. It provides the basis for the construction of regional economic synergistic development strategy.
Digital Design of Film and Television Scenes Based on Interactive Ritual Chain in the New Media Era
Authors: Pan Zixing 
Published: April 2024

Abstract
In this paper, we utilize group event prediction techniques for film and television communication to explore the effects of interactive cinema and scene design on participants’ feelings and the impact of film and television communication. A five-dimensional feature vector is used for quantization, and the dimensions and categories of the feature vectors can be changed to make them more consistent with the characteristics of the research object for different types of network events in the interaction scene. For the analysis and prediction of event attention, the data of the budding period before the outbreak is extracted in the preprocessing stage for the prediction of future outbreaks of the event, as the data for the analysis of attention, and the event attention model is constructed through differential equations to realize the prediction of the impact of attention. The results showed that during the video content exploration, respondents had a higher demand for experiencing the festival ritual process (5.73) and preferred the institution of making five-color glutinous rice (2.53). The interactive video scenes were designed with comforting colors (1.86), beautiful interface aesthetics, and a simple operation flow (3.11). Of the eight secondary indicators found in the documentary dissemination effect, five indicators, including content theme and video duration, significantly impacted the number of interactions with the video. There is a significant difference between interactive behavior and emotional experience, and interactive respondents can feel the emotional experience more.
Correlation Analysis of English Writing Proficiency and Linguistic Logic in Colleges and Universities
Authors: Ruan Yajun 
Published: April 2024

Abstract
This paper briefly analyzes the linguistic logic of the writing text from the four aspects of English writing: writing process, discourse, sentence, and articulation, and specifically investigates the relationship between the level of English writing in colleges and universities and the linguistic logic by using the method of relevance analysis integrating the Copula theory as the primary research technique. The first and final drafts of college students’ writing were analyzed separately to determine the reliability of the research data. The mean values of content and structure of college students’ writing proficiency are 3.3251 and 3.5620. The formal and content logic of linguistic logic is analyzed by counting the number of errors. The students’ linguistic errors are mainly concentrated in the grammar part, and the mean value of the number of errors reaches up to 7.021. The correlation analysis of Copula Theory reveals that the higher the writing proficiency of the text, the higher the word count, paragraph count, sentence count, and sentence count of the text. The number of paragraphs and sentences may vary depending on the average number of sentences per paragraph and the number of words per sentence. The correlation between English writing logic and writing level is significant.
Analysis of the impact of e-commerce on rural quality development and its spatial spillover effects
Authors: Luo Jie , Lv Xiaohui , Liu Hongya 
Published: April 2024

Abstract
This study addresses the challenge of variable selection in partially linear additive spatial autoregressive models through a novel approach that leverages orthogonal projection based on the QR decomposition technique. This method ensures the validity and compatibility of examining the influence of e-commerce on rural high-quality development while minimizing bias in spatial spillover benefits analysis. By constructing a comprehensive evaluation index system, the research applies a partially linear weighted spatial autoregressive model with orthogonal projection to assess e-commerce’s impact on rural development. Analysis of baseline regression for selected villages, supplemented by heterogeneity tests, threshold effects, and spatial analyses, reveals a significant relationship: a one-unit increase in e-commerce activity corresponds to a 0.0038 unit increase in high-quality rural development. This growth comprises both a direct effect of 0.0011 units and a spillover effect of 0.0027 units, highlighting e-commerce’s pivotal role in promoting rural prosperity and its beneficial spillover to adjacent areas.
Application of multi-source remote sensing technology in UAV communication control system
Authors: Lv Qingmei 
Published: April 2024

Abstract
Unmanned aerial vehicles (UAVs) are crucial in various sectors but face challenges in communication reliability. This paper introduces a cutting-edge UAV communication control system, designed using time-series synthetic aperture radar interferometry (InSAR) technology and support vector machine (SVM) classification. Our findings reveal exceptional communication link performance across multiple flight scenarios, notably achieving a bit error rate (BER) of 0.001% in cruising mode. Additionally, the system demonstrated remarkable reception sensitivity, closely aligning with theoretical predictions at −81.1 dBm. This innovative approach utilizes multi-source remote sensing to significantly enhance UAV communication, offering a novel strategy for addressing UAV communication dilemmas.
Research on Strategies to Improve Digital Literacy of College Students to Enhance Employment Quality in the Intelligent Era
Authors: Xiong Ye , Yu Jijiang 
Published: April 2024

Abstract
With the intensification of social employment pressure, the employment conflict of vocational college students has gradually shifted from quantitative to qualitative. The theoretical mechanism and path of the impact of digital literacy on the employment quality of vocational college students are explored through the combination of human capital and labor market theories in this study. In this paper, the digital literacy is used as an independent variable based on the employment quality as the dependent variable. The relevant control variable is set up, and the multivariate regression model is constructed. Finally, a questionnaire survey was conducted on college graduates in Jiangxi, and the influence and mechanism of digital literacy on the employment quality of college graduates were explored through a multiple regression analysis model. The results show that the regression coefficients of digital literacy of vocational college students are always positive, after all the control variables are included in the regression, the regression test coefficient of digital literacy level in the model (6) are, R2=5.15, P<0.001.
Evaluation of the Effectiveness of Civic Teaching in Higher Vocational English Courses under the Great Civic Teaching Landscape
Authors: Li Xiaorong 
Published: April 2024

Abstract
As a general course of humanistic education, English for higher vocational education aims to cultivate English professionals with correct ideals and exemplary professionalism. This study focuses on the impact of teaching Civics and Politics in higher vocational English courses. After completing the construction of the English course’s Civics and Politics teaching model, the improved K-prototypes algorithm is utilized to establish a teaching effect assessment model to explore the English teaching effect of the sample higher vocational colleges and universities. Then, through the Fuzzy Set Qualitative Comparative Analysis (FsQCA) method, we explore the combination of factors that affect the teaching of Civics and Politics in English courses to improve its teaching effectiveness. The results show that the effect of teaching Civics and Politics in English courses can be categorized into three categories, from good to bad, which are roughly 40%, 30%, and 20% respectively. The rating of “good” and above accounted for about 68%, and the overall teaching effectiveness of the sample was good. The study obtained two grouping paths to enhance and reduce the effectiveness of Civics teaching in English courses, in which the influence of the means of Civics integration and the breadth and depth of Civics content presented in the teaching process is more pronounced. This study can guide improving the quality of teaching Civics and Politics in higher vocational English courses.
Exploring the Path of Judicial Big Data to Enhance Data Governance Capability
Authors: Liang Yingshuai 
Published: April 2024

Abstract
In ample data justice, predicting legal outcomes and identifying similar cases hold significant value. This paper presents an advanced legal prediction algorithm that integrates the specific features of legal texts. Utilizing the Text Rank model, it extracts essential text features from legal provisions and facts, enabling the precise deployment of legal requirements based on detailed case analyses and legal knowledge. To overcome the hurdles of scant training data and the challenge of distinguishing similar legal documents, we developed a similar case matching model employing twin Bert encoders. Our empirical study reveals theft, intentional injury, and fraud as the predominant crimes, with sample counts of 335,745, 174,526, and 47,677, respectively. These top offenses, correlating with the most frequently cited laws, account for 85.79% of our dataset. The analysis further indicates “RMB” as the most recurring word in theft and fraud cases, and “minor injury” in intentional injury instances. Notably, our findings show that categories such as “misappropriation” are prone to misclassification as “embezzlement,” and “robbery” often gets confused with “theft,” highlighting the complexities of legal classification.