bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Survey of Ophthalmologists in 52 Cities in the Southern United States
Authors: Albo Camila , Sanchez George , Sellers Brandon , Wolfel Logan , Mankad Rushi N. , Lee Tae Jin , Sharma Ashok , Melendez Robert F. 
Published: December 2023

Background:
The United States (US) supply of surgical specialty practitioners in 2025 is projected to fall short by 24,340 physician full-time equivalents. The greatest deficit is projected for ophthalmology with the most affected region noted to be the southern US.

Aims:
To better understand the distribution of our ophthalmology workforce in the southern US and to identify cities with less access to subspecialty-specific vision care.

Objective:
To determine the prevalence of ophthalmologists as well as rates of ophthalmology subspecialists and practice types in the three largest cities of each state within the southern US.

Methods:
The American Academy of Ophthalmology’s “Find an Ophthalmologist” online listing was queried on a city-by-city basis from December 2020 to April 2021. The number and location of ophthalmologists were determined in the three largest cities, according to population, in the southern US. Data collected on each ophthalmologist included sex, primary subspecialty, practice type, year of first board certification, and academic affiliation.

Results:
There were 1,735 total ophthalmologists identified in the three largest cities of each state, 52 cities in total, within the southern US. The majority were male (n= 1,369, 78.90%) and board-certified prior to or during 1997 (n= 913, 52.62%). There were 12,308 persons per ophthalmologist (P/O) in the southern US. Cities with the highest P/O ratio were Rio Rancho, NM (101,475 P/O), Southaven, MS (28,691 P/O), and Houston, TX (27,868 P/O). The lowest P/O ratios included Morgantown, WV (1,587 P/O), Charleston, WV (2,263 P/O), and Wilmington, DE (3,025 P/O). Less populated cities (<300,000 persons) had a significantly higher proportion of comprehensive ophthalmologists in the southern US (p-value=0.007).

Conclusion:
A total of 550 ophthalmologists were evaluated in southwestern cities and 1,185 were evaluated in southeastern cities. Our results suggest that less populated cities are driven by comprehensive ophthalmology practices. This data suggests greater vulnerability in certain cities with less access to subspecialty-specific vision care.
Dibalik gerakan tendangan double pencak silat: Kajian sistematik dalam analisis biomekanika
Authors: Irawan Fajar Awang , Billah Tafriyadhur Risa , Sahri Sahri , Indardi Nanang , Rahesti Nonik 
Published: December 2023

Tujuan dari penelitian ini adalah untuk mengintegrasikan beberapa informasi yang di muat dalam sebuah resume tentang biomekanika tendangan double dalam olaharaga beladiri pencak silat. Basis data yang digunakan dalam penelitian ini mengacu pada Wiley, Idokan Poland Association, PubMed, Cendekia, Schoolar dan beberapa jurnal relevan yang berhubungan dengan Tendangan Samping dan Pencak Silat. Sumber mengacu pada data sejak 2021 hingga 1998 tertua untuk mendapatkan sumber terkait tendangan double pencak silat. Gerakan kaki atlet saat akan melakukan gerakan tendangan double masih belum tepat dalam membentuk gerakan sesuai standar kaidah IPSI sehingga tendangan yang dihasilkan kurang maksimal. Kesimpulan yang diperoleh adalah tendangan double dalam olahraga beladiri pencak silat memiliki teknik yang sulit di banding tendangan lainnya. Seorang atlet silat harus memiliki akurasi, kecepatan, kebenaran, ketepatan dan sudut segment tubuh dalam sebuah pertandingan terlebih lagi dalam melakukan gerak tendangan double. Analisa gerakan tendangan double atlet harus sesuai dengan ilmu mekanika diperlukan agar dapat dilakukan perbaikan serta atlet dapat melakukan gerakan tendangan double lebih efektif, efisien dan meminimalisir resiko cedera saat bertanding. Penelitian selanjutnya diharapkan mampu menganalisis dan mengidentifikasi peforma secara detail terkait komponen kondisi fisik. Behind the double kick movement of pencak silat: A systematic review in biomechanical analysis Abstract: This study aims to integrate some of the information in a resume about the biomechanics of double kicks in pencak silat martial arts. The database used in this study refers to Wiley, Idokan Poland Association, PubMed, Cendekia, Schoolar, and several relevant journals related to Kick Side and Pencak Silat. Sources refer to the oldest data from 2021 to 1998 to obtain sources related to pencak silat double kicks. The athlete's foot movement when going to do a double kick is still not right in forming a movement according to the IPSI standard rules, so the resulting kick is less than optimal. The conclusion obtained is that a silat athlete must have the accuracy, speed, correctness, accuracy, and body segment angles in a match, especially in doing double kicks. The analysis of the athlete's double kick movement must be in accordance with the necessary mechanics so that improvements can be made and the athlete can perform the double kick movement more effectively and efficiently and minimize the risk of injury when competing. Future research is expected to be able to analyze and identify performance in detail related to the components of physical conditions.
Evaluation of the Effectiveness of Suicide.ca, Quebec’s Digital Suicide Prevention Strategy Platform: Cross-Sectional Descriptive Study
Authors: Côté Louis-Philippe , Lane Julie 
Published: December 2023

Background
In 2017, the Quebec government assigned the Association québécoise de prévention du suicide (AQPS) to develop a digital suicide prevention strategy (DSPS). The AQPS responded by creating a centralized website that provides information on suicide and mental health, identifies at-risk individuals on the internet, and offers direct crisis intervention support via chat and text.

Objective
This study aims to evaluate the effectiveness of suicide.ca, Quebec’s DSPS platform.

Methods
This study used a cross-sectional descriptive design. The study population comprised internet users from Quebec, Canada, who visited the suicide.ca platform between October 2020 and October 2021. Various data sources, such as Google Analytics, Firebase Console, and Customer Relation Management data, were analyzed to document the use of the platform. To understand the profile of suicide.ca users, frequency analyses were conducted using data from the self-assessment module questionnaires, the intervention service’s triage questionnaire, and the counselors’ intervention reports. The effectiveness of the platform’s promotional activities on social media was assessed by examining traffic peaks. Google Analytics was used to evaluate the effectiveness of AQPS’ strategy for identifying at-risk internet users. The impact of the intervention service was evaluated through an analysis of counselors’ intervention reports and postintervention survey results.

Results
The platform received traffic from a diverse range of sources, with promotional efforts on social media directly contributing to the increased traffic. The requirement of a user account posed a barrier to the use of the mobile app, and a triage question that involved personal information led to a substantial number of dropouts during the intervention service triage. AdWords campaigns and fact sheets addressing suicide risk factors played a crucial role in driving traffic to the platform. With regard to the profile of suicide.ca users, the findings revealed that the platform engaged individuals with diverse levels of suicidal risk. Notably, users of the chat service displayed a higher suicide risk than those who used the self-assessment module. Crisis chat counselors reported a positive impact on approximately half of the contacts, and overall, intervention service users expressed satisfaction with the support they received.

Conclusions
A centralized digital platform can be used to implement a DSPS, effectively reaching the general population, individuals with risk factors for suicide, and those facing suicidal issues.
Preoperative Virtual Reality to Expose Patients With Breast Cancer to the Operating Room Environment: Feasibility and Pilot Case Series Study
Authors: Sommer Jordana L , Reynolds Kristin , Hebbard Pamela , Smith Michael S D , Mota Natalie , Mutch W Alan C , Maples-Keller Jessica , Roos Leslie , El-Gabalawy Renée 
Published: December 2023

Background
Clinically elevated preoperative distress and anxiety are common among patients undergoing cancer surgery. Preoperative interventions have been developed to mitigate this distress and anxiety but are inconsistent in efficacy and feasibility for broad implementation.

Objective
This preliminary pilot study aims to assess the feasibility and utility of a newly developed virtual reality (VR) intervention to expose patients awaiting breast cancer surgery to the operating room environment and a simulation of anesthetic induction.

Methods
Patients undergoing breast cancer surgery (N=7) were assigned to the VR intervention or control (treatment as usual) group and completed self-report measures of distress and anxiety before surgery, on the day of surgery, and after surgery (5 and 30 d postoperatively). Those in the intervention group trialed the VR simulation 1 to 2 weeks preoperatively and provided qualitative and quantitative feedback. We assessed the feasibility of recruitment capability and study design and evaluated participants’ impressions of the intervention using self-report rating scales and open-ended questions. We also descriptively examined distress and anxiety levels throughout the duration of the study.

Results
Recruitment occurred between December 2021 and December 2022 and progressed slowly (rate: 1 participant/7 wk on average; some hesitancy because of stress and being overwhelmed). All participants who consented to participate completed the entire study. All participants were female and aged 56 (SD 10.56) years on average. In total, 57% (4/7) of the participants were assigned to the intervention group. On average, intervention participants spent 12 minutes engaged in the VR simulation. In general, the intervention was rated favorably (eg, clear information, enjoyable, and attractive presentation; mean% agreement 95.00-96.25, SD 4.79-10.00) and as helpful (mean% agreement 87.50, SD 25.00). Participants described the intervention as realistic (eg, “It was realistic to my past surgical experiences”), impacting their degree of preparedness and expectations for surgery (eg, “The sounds and sights and procedures give you a test run; they prepare you for the actual day”), and having a calming or relaxing effect (eg, “You feel more relaxed for the surgery”).

Conclusions
This preoperative VR intervention demonstrated preliminary feasibility among a sample of patients undergoing breast cancer surgery. Results and participant feedback will inform modifications to the VR intervention and the study design of a large-scale randomized controlled trial to examine the efficacy of this intervention.

Trial Registration
ClinicalTrials.gov NCT04544618; https://clinicaltrials.gov/study/NCT04544618
Bakom och bortom järnridån: De sovjetiska åren och frigörelsen i Baltikum och Ukraina
Authors: Holm-Hansen Jørn 
Published: December 2023

Bakom och bortom järnridån viser variasjonsbredden i hvordan makthaverne og intelligentsiaen forholdt seg til hverandre i sovjetrepublikkene Estland, Latvia, Litauen og Ukraina. Dette benyttes til å forklare forskjeller i utviklingen i de fire landene i de formative årene på 1990-tallet.
Bakom och bortom järnridån (Behind the Iron Curtain) presents the variety of ways in which those in power and the intelligentsia related to each other in the Soviet republics of Estonia, Latvia, Lithuania and Ukraine as a means of explaining differences in development in the four countries during the formative 1990s.
Analysis of Enterprise Accounting Data Management Evaluation Model Based on Maturity Modeling
Authors: Duan Fei 
Published: December 2023

Abstract
This paper takes the capability of accounting data management in Company D as the research object and constructs a maturity model of accounting data management. The idea of the maturity model’s gradient is used to divide key process domains and practices and then create a set of accounting data management index systems. Meanwhile, the fuzzy element evaluation and analysis method is applied to the evaluation of accounting data management maturity of enterprises, and “maturity level, evaluation index, and quantitative value” are defined as the basic elements of fuzzy elements. Finally, based on the evaluation results, the evaluation indicators at all levels of the accounting data management maturity model of Company D are analyzed. The results show that the evaluation value of the cost management capability and decision support capability of Company D is 3.1678 and 2.9518, which can ensure the authenticity, timeliness and reliability of accounting data to a certain extent. This paper provides new ideas for the research of enterprise accounting management evaluation, which has certain theoretical significance and practical value.
A study of the relationship between parents’ educational behavior and children’s psychological development based on linear regression models
Authors: Yao Xuan , Li Jing 
Published: December 2023

Abstract
The purpose of this paper is to investigate the linear relationship between parenting and children’s psychological development and to analyze the strength of the relationship between them by using linear regression models. A one-dimensional nonparametric regression model with matrices is employed to handle the linear relationship between parenting and children’s psychological development. Combining parameter estimation and great-likelihood estimation was used to determine the maximum parameter value for the sample relationship. To ensure that the parameters that affect parenting and children’s mental health development conform to the model, we used the expectation and variance of the parameter estimates. The results show that good and bad parenting behavior affects children’s mental health. Benign parenting has a contributing effect on children’s emotional influence; children’s perception of safety is 0.75, and more stable emotions and stability are 0.85. When children are well educated, children’s three perceptions are 0.65, and self-perception is 0.8.
Framework and Change Path Analysis for the Improvement of Accountants’ Data Analysis Capability in the Era of “Digitization”
Authors: Lin Xiaohong , Yi Yanwei 
Published: December 2023

Abstract
This paper first analyzes the importance of data analysis skills and uses information mining to discover valuable accounting knowledge. Secondly, in the process of calculating the weights of indicators, the Bayesian network classifier is used to enhance the data mining technology, filtering and processing the interfering information and redundant information to ensure the effectiveness of professional competence data acquisition. Finally, the framework of professional competence of accounting talents was constructed, the path of accountants’ change was analyzed, and the design of the numerical intelligence curriculum system was completed. The results show that the rating of data analysis ability is 4.63, and the average score of the others is roughly around 4, which proves the feasibility of the Numerical Intelligence Curriculum System.
Geotechnical investigation measures and techniques in construction engineering based on multi-source data fusion
Authors: Pei Hanrui 
Published: December 2023

Abstract
Geotechnical investigation is an important aspect of construction engineering. In order to optimize this link, this paper analyzes the current status of the application of geotechnical investigation in construction engineering through the fusion of multidimensional spatial data interpolation of geotechnical geology as well as the structural design of geotechnical profiles by combining with triangular mesh search algorithm. On this basis, the parameter prediction of the fusion of multi-source parameter data in geotechnicals was carried out by determining the estimated variance and weight coefficients. In addition, the optimal interpolation algorithm was selected through the indoor test and in-situ test, and the accuracy of the modeling of the soil and the prediction of the geotechnical parameters were analyzed. The results show that the modeling width error is between [0.04,0.20], the length error is between [0.7,0.23], the planar accuracy error is around 0.2cm, the depth error is within 0.02cm, and the errors of the actual and predicted values of the rock and map parameters are within 0.1 and 0.09, respectively. Geotechnical investigation measures and techniques in construction engineering based on multi-source data fusion can optimize construction engineering.
Representation and effectiveness based on big data analytics: optimizing the construction of leadership team structures
Authors: Wu Duomei 
Published: December 2023

Abstract
The optimization of leadership team structure is the research object of this paper, and the regression model in big data analysis is explored as the research method. Neighboring sample information is introduced through the network structure diagram, the regression model with neighboring sample information is constructed, the corresponding estimation method of regression coefficients is proposed, and the proof of the error bounds of the proposed estimation is given. Finally, the method is applied to analyze the results after optimizing the corporate leadership team structure. It includes regression analysis of the non-heterogeneous, heterogeneous, and overall structures of the leadership team and examines the moderating effect of salary heterogeneity on the results. The results show that the number of applications for invention patents and the number of authorized patents in the enterprise reaches 3 times to 5 times the number before the change, respectively, and in the regression analysis of the heterogeneous structure of the leadership team on the development of the enterprise R
2 =0.134, F value=2.186, which indicates that the heterogeneity of the years of working experience has a very significant positive effect on the development of the enterprise.
Fuzzy Neural Network Algorithm Applied to the Construction of a Prediction Model for Online Buying Behavior
Authors: Cheng Miao 
Published: December 2023

Abstract
In this paper, we first preprocessed the user’s shopping behavior data, set the prediction goal, constructed the features of the user’s online purchasing behavior prediction model, and classified and selected the constructed features based on the SVM-RFE algorithm. Then, on the basis of the fuzzy neural network algorithm of fuzzy theory, the network purchasing behavior prediction model was constructed by combining the assessment indexes of the prediction model results as well as the 5-fold cross-validation method. Finally, the evaluation results of the prediction model are examined and compared with common prediction algorithms to confirm the performance of the algorithm in this paper. The results show that the average relative error of model training can reach 0.013, and the absolute error with the actual value ranges between [0.01, 0.06]. On the same test set, the F1 value of the prediction model in this paper is between [0.88, 0.91], and the F1 value of the algorithm on each test set has a small difference of only 0.03, and the F1 value of the other prediction models has a maximum difference of 0.09. The prediction model constructed in this paper has a good prediction effect and robustness.
The impact of the concept of “tailor-made teaching” on the cultivation of higher vocational art and design professionals in the era of artificial intelligence
Authors: Tao Yinghong 
Published: December 2023

Abstract
This paper first studied the education concept of tailor-made teaching, explored the influence of tailor-made teaching on the cultivation of professional ability, and constructed the talent cultivation model of art majors based on tailor-made teaching. Then, we constructed the influencing factor analysis model, extracted the relevant principal components, calculated the Spearman correlation coefficient, established the multiple linear regression analysis model, estimated the model parameters, and tested the model. Finally, we analyzed the influence of the concept of tailor-made teaching on talent cultivation mode, cultivation effect and cultivation evaluation, and carried out correlation analysis, regression analysis and mediation effect test on the influencing factors. The results show that the mean value of the evaluation of the education model of “tailor-made education” ranges from 3.78 to 4.35, which is at a relatively satisfactory level. The sig value of the relationship between “teaching according to student’s abilities” and the quality of talent training is 0.000, indicating that “teaching according to student’s abilities” has a significant positive effect on the quality of talent training.
Exploration and Practice of Labour Education in Higher Vocational Colleges and Universities in the New Era Based on Big Data Analysis
Authors: Chen Yumo 
Published: December 2023

Abstract
To enhance the labor literacy of college students, this paper examines big data in labor education. Firstly, it visualizes and preprocesses labor education big data and designs a method to analyze labor education big data based on an improved ant colony clustering algorithm. Secondly, it examines the labor education of higher vocational colleges in the new era and establishes an evaluation index system for higher vocational labor education in the new era. Finally, labor education is examined using the improved ant colony clustering algorithm, and the practical effects of labor education are examined. Practice shows that ant colony clustering clusters labor education in higher vocational colleges into three categories, in which the proportion of category 1 is 0.28, the proportion of category 2 is 0.41, the proportion of category 3 is 0.31, and the effects of labor concepts, labor knowledge, labor skills, labor qualities, and labor literacy have been improved by 0.27, 0.29, 0.29, 0.26, and 0.24, respectively. Higher vocational colleges and universities of the new era of labor education can improve the labor literacy of working college students.
Using cognitive mapping to analyze the aesthetic value of music education in colleges and universities
Authors: Kuang Xue , Liu Chang 
Published: December 2023

Abstract
In this paper, firstly, on the basis of cognitive mapping, music data are processed in four directions, namely, sound spectrum extraction, audio superposition, audio tempo, and tone intensity adjustment, and then audio sequences are sliced and diced, so that the cognitive mapping can be more focused on capturing localized useful information. Then, the BERT model is used to encode the music sequences so that the output music sequences already contain aesthetic and emotional features and the cognitive mapping-based music emotion analysis model is constructed according to the music emotion learning layer, the emotion feature aggregation layer, and the full connectivity layer, and analyzes the aesthetic value of music education in colleges and universities. According to the results, the BERT model had a difference of 0.13% on the MED dataset and 0.03% on the MTD dataset. On the mean value of the aesthetic value of traditional music, introverted personality (3.61) was higher than extroverted personality (3.52). This study has a positive effect on the cultivation of aesthetic value in music education in colleges and universities and proposes effective ways to enhance aesthetic value in college and university music teaching.