bluuebunny/crossref_metadata_2025_split huggingface dataset:
Discussions With End Users to Inform the Vision for a Shared Care Record in Ontario: Qualitative Interview Study (Preprint)
Authors: Chmielewski Marta , Meyer Matthew J 
Published: February 2024

BACKGROUND

Improving the health outcomes of populations of individuals through population health management requires the use of electronic health records that can exchange real-time digital information using an accurate and complete shared care record that is accessible to health care providers, services, and patients.

OBJECTIVE

The aims of this study were to understand end users’ (health care providers) experiences, attitudes, and insights using current electronic health records; their expectations of what is required to establish a shared care record; and how they anticipate adapting to the use of a shared care record in daily practice. This work is the result of a quality improvement initiative deemed not to require ethics approval according to the Western research ethics board checklist.

METHODS

Clinicians were contacted using voluntary response sampling and interviewed via Zoom (Zoom Video Communications) between June 2022 and July 2022. The participants were from various health care sectors and at various stages of career development.

RESULTS

Overall, adaptation to the use of a shared care record was viewed positively by health care providers, highlighting the benefits of a centralized, shared, and accessible location for real-time data, promoting patient continuity of care. The main concerns included the privacy, confidentiality, and security of the record along with patients’ ability to interpret their own medical information found in a patient portal. The resources requested by end users included multifaceted ongoing training on the use of a shared care record.

CONCLUSIONS

This study provides practical findings that will help emphasize factors that facilitate clinicians’ practical use and process of adaptation to the use of a shared care record.
An evaluation of root resorption associated with the use of photobiomodulation during orthodontic treatment with clear aligners: a retrospective cohort pilot study
Authors: Rossi Antonio , Lagravère-Vich Manuel , Heo Giseon , Major Paul W. , El-Bialy Tarek 
Published: February 2024

ABSTRACT

Objectives
To evaluate the change in tooth root volume using cone-beam computed tomography (CBCT) in a group of patients treated concurrently with clear aligners and an adjunctive photobiomodulation (PBM) device.

Materials and Methods
This retrospective cohort pilot study included the records of 32 consecutively treated clear aligner patients (23 female, 9 male) from the private practice of one orthodontist. The PBM group (n = 16) used the device once per day for 5 minutes per arch and was compared with a matched control group (n = 16). A semiautomated segmentation technique was used to obtain tooth volume of anterior teeth from CBCT imaging prior to (T0) and during or immediately following (T1) orthodontic treatment with clear aligners. The change in root volume between time points was assessed.

Results
There was no statistically significant difference between the pre- and posttreatment root volumes of maxillary and mandibular anterior teeth, regardless of which intervention group the patient belonged to (P &gt; .05). There was also no difference in the mean percentage change in root volume between clear aligner patients in this study who were treated with the PBM device compared with a matched control group (P &gt; .05).

Conclusions
Clear aligner patients in this study who changed their aligners every 3 to 5 days and used adjunctive photobiomodulation therapy did not experience clinically relevant orthodontically induced external root resorption. Due to the small sample size and measurement error in the root segmentation process, the results should be interpreted with caution.
Visegrád pusztulása az oszmán-török hódoltság előtt – az 1541-es földrengés történeti és archeoszeizmológiai nézőpontból
Authors: Kázmér Miklós , Al-Tawalbeh Mohammad , Győri Erzsébet , Laszlovszky József , Gaidzik Krzysztof 
Published: February 2024

A Duna-kanyar lett volna a helyszíne a tervezett nagymarosi duzzasztógátnak, a Bős-nagymarosi vízerőműrendszer legalsó tagjának. A gátat az 1970-es években tervezték, olyan stabilra, hogy ellenálljon VI-os intenzitású földrengéseknek. Magyarországon eddig még nem alkalmazott eljárással történeti följegyzéseket, fényképeket és rajzokat, valamint régészeti ásatások adatait sorakoztatjuk fel annak igazolására, hogy 1541. augusztus 21-én egy IX-es intenzitású rengés pusztította el Visegrádot. Bizonyítékaink között van a Salamon-tornyot kettévágó hasadék és a királyi palota szomszédságában egykor állt ferences kolostor maradványain felismerhető deformációs jelenségek. A Salamon-toronyról a 19. század végén készült rajzok és fényképek hűen dokumentálják a 16. századi földrengéskárokat. A pontos datáláshoz a rengés során tönkrement ferences kolostor – régészeti ásatásokkal megtámogatott – története szolgáltat adalékokat. A királyi palotára és a kolostorra vonatkozó történeti dokumentáció elemzésével megállapítottuk, hogy Visegrád katasztrófájáért az a rengés lehetett felelős, amelyet 1541. augusztus 21-én , Pesten élt át Bornemisza Péter, későbbi lutheránus püspök. Visegrádot 1544-ben elfoglalta a török, ezáltal megszűnt stratégiai jelentősége; az elromlott épületeket és a várost nem építették újjá. Kritikus létesítmények tervezésénél elengedhetetlen feltétel a környezet történeti szeizmológiai és archeoszeizmológiai vizsgálata.
Feminisme dalam Fenomena Childfree : Analisis Wacana Kritis Sara Mills pada Buku “Childfree And Happy”
Authors: Mardika Mifta Rizki , Ashaf Abdul Firman , Utaridah Nanda 
Published: February 2024

AbstractThis research discusses social phenomena childfree in mass media (books) which are one of the agendas of the feminism movement. Victoria Tunggono is the first Indonesian writer who voice childfree loudly through her book entitled "Childfree and Happy". This research uses qualitative methods and Sara Mills critical discourse analysis and feminism theory to find out how this book represents feminism from childfree issues. The result of this research is childfree has described through causes, effects, and arguments using an effective language so that the readers can understand and highlight the side of feminism easily. The feminism side shown through subject-object and writer-reading classification and word and sentence level analysis refers to representations that emphasize the issue of women's bodies and women as objects. The conclusion is the book has representation radical feminism. Because the issue of women's bodies and women as objects is related to the basic concepts of radical feminism, namely patriarchy, family, and women as subordinates.Keywords : Childfree, Critical Discourse Analysis Of Sara Mills, Feminisme AbstrakPenelitian ini membahas tentang fenomena sosial dalam media cetak (buku) yang menjadi salah satu agenda gerakan feminisme, yaitu childfree. Victoria Tunggono merupakan penulis Indonesia pertamayang berani menyuarakan childfree lewat bukunya yang berjudul ”Childfree and Happy”. Penelitian ini menggunakan metode kualitatif dan analisis wacana kritis Sara Mills serta teori feminisme untuk dapat mengetahui bagaimana buku ini merepresentasikan sisi feminisme dalam isu childfree. Hasil dari penelitian ini adalah childfree digambarkan melaluipenyebab, pengaruh, dan argumen dengan menggunakan bahasa sehari-hari dan istilah yang mudah dipahami pembaca dan menonjolkan sisi feminisme. Sisi feminisme yang ditunjukkan melalui klasifikasi subjek-objek dan penulis-membaca dan analisis level kata dan kalimat merujuk pada representasi yang tekankan pada isu ketubuhan perempuan dan perempuan sebagai objek. Dapat disimpulkan bahwa representasi feminisme yang disajikan dalam buku ini mengarah kepada feminisme radikal. Karena isu ketubuhan perempuan dan perempuan sebagai objek berkaitan dengan konsep-konsep dasar pemikiran feminisme radikal yakni patriarkat, keluarga, dan perempuan sebagai subordinasi.Kata Kunci :Analisis Wacana Kritis Sara Mills, Childfree, Feminisme,
The Innovative Development Path of Intelligent Sports Training in Colleges and Universities under the Perspective of National Fitness
Authors: Tian Delin , Liu Bo 
Published: February 2024

Abstract
Information technology, as the driving force of a new round of technological and industrial changes, brings new opportunities to sports training. In this paper, a dynamic threshold step monitoring strategy based on sinusoidal waveform curve of acceleration change is designed, and blood oxygen saturation content is monitored by near-infrared spectroscopy. By mining the high-frequency exercise load monitoring information, the intelligent sports training model is discussed in depth. In the application effect study at X University of S Province, the model successfully measured the average heart rate of students to be 160.91 beats/minute and the average energy consumption to be 137.27 Kcal, which provided a critical decision-making basis for physical education teaching. This finding offers a scientific implementation program for reforming physical education in colleges and universities, ensuring that physical training is accomplished efficiently and highly.
Research on Precision Teaching Reform of Japanese Language Education in Colleges and Universities Based on the CRS Model
Authors: Zhao Hashengaowa 
Published: February 2024

Abstract
The traditional Japanese language teaching method is challenging to mobilize students’ enthusiasm, and it is impossible to objectively understand students’ mastery of knowledge points. To address this teaching problem, this paper combines the CRS model with K-Means cluster analysis to construct a precise teaching model for teaching Japanese language in colleges and universities based on the CRS model. Through the CRS model to obtain the students’ mastery of knowledge and differentiated data, the K-Means algorithm is used to analyze the teaching model accurately, so Japanese teachers can make timely adjustments to the classroom teaching situation and improve the quality of teaching. After the model design was completed, a controlled teaching experiment was conducted in two colleges and universities in a province, and an independent square root t-test was performed. The ratio of teachers’ verbal behavior in the experimental class of Japanese language in colleges and universities was 71.58%, which was 18.86% lower than the ratio of teachers’ verbal behavior in the classroom of the control case, and the ratio of students’ verbal behavior was 21.58%, which was 18.36% higher. The average probability of students’ mastery of the Japanese language points studied in the semester was above 0.6. The independent square root t-test for the two classes was less than 0.05, showing a significant difference.
Improved single target identification tracking algorithm based on IPSO-BP neural network
Authors: Xie Ting 
Published: February 2024

Abstract
Driven by deep learning techniques in recent years, single target recognition and tracking techniques have developed significantly, but face challenges of real-time and accuracy. In this study, an improved IPSO-BP network is formed by optimizing three critical aspects of the IPSO algorithm: adjusting the inertia weight calculation formula, improving the learning factor, and creating a new iterative formula for particle updating, which in turn is combined with a BP neural network. After iterative training, this paper constructs a single target recognition tracking algorithm with higher efficiency. The Algorithm’s performance is comprehensively tested through experimental simulation in terms of real-time, accuracy and stability. The results show that the improved Algorithm can achieve a frame rate (FPS) of up to 31 in single target recognition and tracking. The IOU value is as high as about 83% in some tests. The tracking success rate in different scenarios averages approximately 98.50%, the position error is controlled within 0.7 m, and the speed error averages 2.75 m/s. This improved IPSO-BP neural network effectively solves the problems of the current technology in the areas of real-time and accuracy, showing high stability and accuracy.
Visualization and analysis of electrical parameter design based on digital sensors
Authors: Wan Xiaohe , Wang Duoran 
Published: February 2024

Abstract
This paper provides an in-depth study on the application of digital sensor technology in electrical fire detection. It firstly focuses on the design of electrical parameters to improve the accuracy of fire detection. Based on the research results of recurrent neural networks, the article combines the Long Short-Term Memory (LSTM) network and the Gated Recurrent Unit (GRU) neural network. It innovatively proposes an electrical fire feature recognition method based on the LSTMGRU network. The study also incorporates fuzzy inference techniques to optimize the fire alarm decision-making process, which achieves a hierarchical output for electrical fire detection recognition and alarm decision-making. The experimental results show that the LSTM-GRU network achieves an accuracy of 98.83% in electrical fire classification and recognition, significantly better than the results of using LSTM network or GRU network alone. Regarding electrical fire distance recognition, the relative error of the method only ranges from 0.32% to 2.10%, and its output of fire alarm decision is entirely correct. The study not only verifies the high accuracy and reasonableness of the electrical fire feature recognition method based on digital sensing technology, but also provides a brand new idea for recognizing electrical fire detection and alarm decision-making.
Research on Network Security Analysis and Prevention Strategies Based on Artificial Intelligence Algorithms
Authors: Liu Quansheng , Ma Shiming 
Published: February 2024

Abstract
In this paper, we propose a new DDoS attack detection mechanism based on federated learning that employs dynamic thresholds to cope with the fluctuation of variable rate DDoS attacks. The performance of this detection mechanism is analyzed in terms of traffic classification, performance of verification module, accuracy and loss value. Experimental results show that the method has an accuracy of 99.83% in detecting regular Benign traffic. In burst attack scenarios, the technique significantly improves detection accuracy for all 10 common DDoS attack types. In a sustained attack environment, the intrusion detection system trained based on the DDoS model has the most minor performance degradation, and the average detection accuracy for all types of DDoS attacks still exceeds 90%. Compared with the traditional SVM model, the DDoS attack detection model based on federated learning has a significant performance advantage with Loss and Acc parameters of 0.1 and 0.9, respectively.
Interactive experience of sculpture design based on virtual reality technology
Authors: Guo Shengneng , Song Yimin 
Published: February 2024

Abstract
The application of computer technology provides new ideas for the design of sculpture works. In this paper, with the support of virtual reality technology, the pixel set of each color block is extracted from the actual image to determine the location of the center point of the color block. Based on the extracted information, a visual color marking method is used to realize the 3D registration of the sculpture scene. In the virtual scene, through the virtual modeling of the sculpture work, a spline surface model was generated by applying sparse image sequences and optimally adjusted to transform the surface piece control point problem into a quadratic function of the network vertices. The mathematical logic properties of the virtual reality sculpture work wind direction improved by 22.5 points, the mathematical logic properties of the light design improved by 25.8 points, and the mathematical logic properties of the shadow design improved by 23.1 points. The virtual reality technology provides an interactive experience for the design of sculpture works.
Information Integration Technology Boosts Informationalized Teaching of Ideological and Political Courses in Colleges and Universities
Authors: Chen Jing 
Published: February 2024

Abstract
Along with the application and popularization of information fusion technology in all fields of life, education informatization is also increasing. In this paper, a scale prediction model is introduced based on the Multi-scale Attention Module MAM, composed of CSP-MAM, to detect the position of students in the classroom. Students’ expression changes in the school are identified through face classification, border regression, and face key point localization techniques. Using the data analysis function of the back-end of the information classroom, we obtain students’ classroom interaction information, and with the help of information fusion technology, we fuse the Information of the three classroom dimensions to construct the ideological and political learning evaluation model. In evaluating individual students’ concentration, the frequency of neutral and positive expressions of the five students is 49,960 times higher than that of negative expressions. After the ideological and political informatization teaching, the student’s overall learning effect score is 9.0174, and the three dimensions have been improved by 1.245, 0.9492, and 0.9024, respectively, which shows that the student’s learning concentration and effect under ideological and political informatization education are good.
Effect of Dietary Protein to Energy Ratios on Growth, Digestive Enzyme Activity and Body Composition of Captive Juvenile Spiny Lobsters, Panulirus Ornatus (Fabricius, 1798)
Authors: Saputra Ishaaq , Fotedar Ravi 
Published: February 2024

Abstract
An evaluation of six dietary protein-to-energy (P/E) ratios was conducted to the early juvenile lobsters (Panulirus ornatus) by investigating the ratio effects on physiology, digestive enzyme activities, body composition, and amino acid profiles. Juvenile lobsters (0.25±0.01 g) were individually kept in aquaria and treated with six isoenergetic formulated diets of P/E ratios of 21.8, 22.5, 23.5, 24.6, 25.3 and 26.6 mg KJ–1. After 8 weeks of feeding experiment, the differentiation on dietary P/E ratios was found to have affected the specific growth rates, but not the survival, moult increment, moulting rate, moult interval and average daily moulting rate of juvenile lobsters. The dietary P/E ratio also influenced the protease, lipase, superoxidase dismutase activities, and body composition of juvenile lobster. The increase in dietary protein levels significantly affected the increase of the specific growth rate, while increased dietary lipid levels only affected the length increments. Both protein and lipid content were found in the whole body of the juveniles which reflected the treated dietary composition. Results indicated that a P/E ratio of 26.6 mg KJ–1 (55% dietary protein and 9% dietary lipids) can yield the maximum growth and digestive enzyme activities from among the studied diets.
Physical Quality Parameters and Activity of Albumen Lysozyme of Eggs From Traditional Hens Bred in Poland Compared With Commercial Hybrids
Authors: Lewko Lidia , Gumułka Małgorzata , Andres Krzysztof , Krawczyk Józefa 
Published: February 2024

Abstract
The variation in egg quality parameters of traditional/native hen breeds with good freshness and antibacterial properties of egg albumen may determine the attractiveness of these eggs for modern consumers looking for high quality products. The objective of this study was to evaluate external and internal physical quality parameters and enzymatic activity of lysozyme of eggs from three traditional hens bred in Poland and to compare these egg quality parameters to those obtained from commercial hybrids kept under the same management conditions in extensive farming production system. The study was carried out on eggs collected from 4 genetic groups of hens, i.e. Polish Liliputy Bantams (PLB), native Polish Crested Chickens (PCr, CP-22 strain), Gold Laced Polish Chickens (GLP) and from Hy–Line Brown hybrids (HLB). In total 135 PLB, 75 PCr, 75 GLP and 75 HLB hens were kept on litter (3 pens) and fed commercial feed. The eggs (n = 33/genotype/age) were collected at the 33 and 55 weeks of age. The study concluded that with the age of the hens, there was an increase (P<0.05) in the weight of the egg and the proportion of its main fractions, as well as a decrease (P<0.05) in the quality parameters of the albumen and the eggshell. However the eggs from traditional breeds retain good parameters of albumen quality even at the end of production period. The eggs of traditional hens were characterized by higher (P<0.05) yolk proportion and its color and albumen lysozyme parameters, and a lower (P<0.05) eggshell and albumen height and Haugh unit score in relation to commercial hybrids. The highest (P<0.05) content of lysozyme and enzymatic activity of lysozyme were found in eggs from Gold Laced Polish Chickens. Thus, eggs obtained from traditional hens may meet requirements of modern consumers because of specific physical characteristics, good albumen lysozyme activity and freshness parameters. Particularly noteworthy are Polish Liliputy Bantams eggs, characterized by the low weight and a high proportion of more intensely colored yolk and good Haugh unit score at the end of production period.
Positioning Key Elements for Increasing Localization Precision of the VRUs in 5G NR Environments
Authors: Militaru Andreea-Valentina , Bogdan Ion , Comșa Ciprian-Romeo , Căruntu Constantin-Florin 
Published: February 2024

Abstract
The growing number of road accidents and fatalities created a necessity for applications exploiting communication between traffic actors like vehicles, vulnerable road users (VRUs), and infrastructure. To determine the vehicle position and to communicate this data to the traffic users, the vehicles and user’s smart devices are equipped with communication modules and positioning modules. The fifth generation (5G) cellular network promises to respond to the requirements of a city traffic management by: ultra-low latency, reliability, and position determined with high precision. The 3GPP Release 16 mobile communications standard details the use-cases of the industrial verticals and their requirements, the most important key performance indicators (KPIs), and technologies that the new radio (NR) architectural component uses to obtain the position information. 3GPP Release 16 targets a positioning accuracy between 1 and 3 meters for traffic monitoring and control, as well as for wearable devices. Moreover, the standard specifies the most common solutions that the 5G technology can support. This paper aims at presenting the context of the positioning essentials that the 5G NR can support, which are necessary to achieve road users’ protection and congestion avoidance within an urban area.
Overhead Line Swithcing Considering Circuit Breaker Standard Deviation Times
Authors: Băiceanu Florin-Constatin , Nemeș Ciprian-Mircea , Neagu Bogdan-Constantin , Ilișescu Ionuţ 
Published: February 2024

Abstract
The switching of electrical equipment in normal operation conditions should be performed in optimal moments with regard to the variation of the voltage and current waveforms. Deviations from these ideal conditions will result in disruptive transient regimes, which, depending on their severity, can lead to equipment malfunctions or insulation damage. This paper continues a previous research study regarding the impact of the real switching moment regarding the known ideal conditions on various types of equipment. Previous efforts have concentrated on the study of the behavior of capacitor banks, power transformers and underground cable lines when switching is performed in different points on the voltage sine wave. This paper continues the research by studying high voltage overhead lines in the same conditions. The voltage and current waveforms are measured and analyzed for different switching times, using the EMTP software package. A comparison discussion with the previous results highlights the main findings.