bluuebunny/crossref_metadata_2025 huggingface dataset:
Awareness of Data Security of Facebook users in the Philippines
Authors: L. Mendoza Aline Teresa , R. Phillips Dylan Alexander , P. Mariani Mathew Jun
Published: November 2023

Awareness of Data Security of Facebook Users in the Philippines Identifying the level of awareness and does gender affect the level of awareness. The researchers conducted online surveys to facilitate the consolidation easily and have a faster tracking of the number of respondents. This research is based on another research from Harvard stating that Filipinos are the least in the ranking and need to be made aware of Data Security and its importance. It is a reality check if Filipinos need to be made aware; the respondents come from first-year University of Cordilleras students, specifically from the College of Information and Computer Science. We have chosen the first-year students knowing that teens nowadays use Facebook not only to socialize with others but also in terms of school and family matters. The following chapters include a brief overview of social networking and social media history. They focus primarily on the Facebook website and one of the main problems: its data and privacy security settings and policies. After setting the stage with this overview, various research related to privacy and data security awareness of various countries will be summarized and compared with the survey results conducted in this research. This study mainly focused on understanding how far Facebook users in the Philippines understand Facebook's privacy and data security. Surveys conducted in this research also look to determine to what extent Filipino Facebook users edit and configure their privacy settings online. Aside from these findings, there is also a comparison between Male and Female Facebook users to determine whether there is any significant difference in the survey results.
Food Share Network: An AI Based Food Donating Application
Authors: Lakshmi Ms. M. Maha , Jothiksha E.
Published: November 2023

This website “Food For All” facilitates food donation and distribution to reduce excess food and hunger. The project system aims to address the issue of food waste by creating a platform that facilitates the collection of excess or leftover food from various donors, and redistributing it to individuals in need through the collaboration with non-governmental organizations (NGOs).40% of the food produced in India is wasted.It isfurther estimated that the value of food wastage in India is around ₹92,000 crores per annum. This website provides information and resources on how to reduce excess food, improve food quality, and promote healthy eating habits.
A Critique of Paul Seabright’s “the War of the Sexes”
Authors: Robertson Laura L.
Published: November 2023

A review of the book The war of the sexes: how conflict and cooperaton have shaped men and women from prehistory to the present by Paul Seabright (2012).
Winner and Loser Effects in Major League Baseball Double Headers
Authors: Gallup Andrew C. , Eldakar Omar Tonsi
Published: November 2023

Across the animal kingdom it has been observed that outcomes of conflicts are influenced by past experiences, whereby previous winners are likely to keep winning and losers are likely to lose again. These so-called “winner and loser effects” are hypothesized to result from factors such as information acquisition and endocrine responses following the initial bouts. This paper applies the understanding of this phenomenon to a novel domain: patterns of winning and losing in Major League Baseball (MLB) double headers. By accessing archival data available from www.espn.com, we report on the incidence of a single team winning both games (sweeps) versus each team winning one game (splits) in MLB double headers over the last 13 years. Consistent with previous research on winner and loser effects, we show that sweeps are significantly more common than splits and that there is a home field advantage in this context. Results indicate that disparity in opponent quality or skill, as measured by the difference in team records outside the double header match, was not a significant predictor of whether the outcome resulted in a split or a sweep. In contrast to our hypotheses, there was no difference in the margin of victory in games between sweeps and splits. Overall these results add to the existing literature on winner and loser effects, provide a framework for pursuing further research in MLB, and suggest that winner and loser effects may be present across a variety of other forms of human social interaction.
Dakwah bil Lisan dan Religiousitas Generasi Milenial
Authors: Amatullah Ghalda , Wahyu Triatmo Agus
Published: November 2023

X-School is an association for Muslim K-popers in Indonesia. They are part of the millennial generation who study Islam with da'wah bil lisan approach. This study aims to determine influence the da'wah bil lisan method has on the religiosity of the participants of the X-School Season 4. This research is a quantitative study and uses ex post facto research design. The subjects of this study were participants in the X-Season 4 program. Data collection techniques used a questionnaire. Data were analyzed using normality test, linearity test and heteroscedasticity test. The hypothesis test used is simple linear regression. The result is known that the coefficient of determination is 40.1%. So it can be concluded that the contribution or contribution or influence given by variable X (da'wah bil lisan approach) on variable Y (religiosity) is 40.1% or in other words the use of the da'wah bil lisan approach can increase the religiosity of study participants X-School Season 4 .
METODE TAFSIR M. YUNAN YUSUF DALAM SURAH AL-MULK PADA TAFSIR KHULUQUN ‘AZHIM
Authors: Hasanah Uswatun
Published: November 2023

Indonesian Tafsir studies is growing and developing since 16 th century. This article discribes the methodology of tafsīr Juz Tabarak Khuluqun Azhīm written by M. Yunan Yusuf its sources, methods, styles and genre. This type of research is literature, using descriptive analytical which seeks to provide solutions to problems by collecting data, compiling, and analyzing. The results of this study explain that the source of this interpretation falls into the category of a combination of the bi al-Ma'sur or bi al-Ra'yī tafsir and munāsabah āyat al-Qur'an. Yunan interprets al-Qur'an critically and firmly with philosophical colors, and is able to convey the message of al-Qur'an verses through other al-Qur'an verses (munāsabah al-Qur'ān bi al-Qur'ān). This interpretation uses the analytical method (tahlīlī), the philosophical style and the scholastic genre.
Fully resolved high-precision measurement of 36 S for sulfur reference materials
Authors: Sun Jiayang , Farquhar James
Published: November 2023

Advances in sulfur isotope measurement techniques have led to increased
analytical precision. However, accurate measurement of
S remains a challenge, hindering research such as
that focused on microbial metabolic processes. This difficulty arises
partly from isobaric interferences of SF
at m/z = 131 amu, namely
WF and
C F which lead to scale compression. Our study develops
an interference-free four-sulfur isotope measurement method using the
high-resolution mass spectrometer Panorama. Panorama’s peak scan showed
that the relative intensity of WF was initially 9.4% of SF
but was reduced to 1.5% through
tuning, while the C F
relative intensity dropped from
74% to 40% after flushing with air and continued to decrease over
time. Theoretically, an unresolved isobaric interference with 2%
relative intensity could cause a 1‰ underestimation in a sample with a
real δ S value of +60‰. We analyzed three IAEA
sulfur isotope standards. Recommended S values we
obtained relative to IAEA-S-1 are Δ S
= 1.238 ± 0.040‰, and Δ S
= -0.882 ± 0.030‰. For cases where the
interferences cannot be removed, we offer a calibration method to
correct for the scale compression effect. This involves bracketing two
or more IAEA standards in the sample measurement sequence and then
extending the measured IAEA δ S values by a
calibration factor to match the values reported in this study. Applying
this calibration factor to the samples effectively corrects the scale
compression effect.
Banki w roli multiplikatorów rozwoju najuboższych regionów Unii Europejskiej. Niektóre konstatacje z badań w regionie warmińsko-mazurskim
Authors: Sołoma Andrzej
Published: November 2023

W artykule podjęto próbę analizy roli banków jako multiplikatorów rozwoju regionów na przykładzie woj. warmińsko-mazurskiego. Przeprowadzona analiza zgromadzonych danych pozwoliła na sformułowanie m.in. następujących wniosków. 1. Bankowość spółdzielcza oraz część banków komercyjnych wpiera rozwój rolnictwa i obszarów wiejskich, głównie za pomocą kredytów preferencyjnych z dopłatami do oprocentowania ARiMR zaliczanymi do form tzw. pomocy krajowej. Tego rodzaju kredytów w latach 1994-2006 w skali kraju udzielono na ponad 90 mld zł. 2. Banki promują, prefinansują i współfinansują wszystkie przedsięwzięcia ujęte w unijnych projektach pomocy finansowej dla regionu. Jednocześnie dzięki temu generują dodatkowe zyski dla swoich akcjonariuszy. 3. Banki specjalizujące się w obsłudze rolnictwa szczególnie na poziomie lokalnym świadczą klientom niezbędne usługi doradcze w zakresie pozyskania środków finansowych. Jednakże niezbędne jest dalsze promowanie wśród podmiotów funkcjonujących w obszarach wiejskich szerszej współpracy z instytucjami finansowymi w tym zakresie. 4. Empiryczne badania własne autora wskazują, że większość właścicieli mikro i małych przedsiębiorstw regionu warmińsko-mazurskiego jest skłonna do obsługi swych firm wybierać te banki, które swe dochody wypracowane w regionie reinwestują je na jego terenie.
Model oraz mierniki trwałego i zrównoważonego rozwoju obszarów wiejskich w ujęciu lokalnym
Authors: Adamowicz Mieczysław , Smarzewska Agnieszka
Published: November 2023

Koncepcja zrównoważonego rozwoju obszarów wiejskich wymaga zastosowania odpowiedniego systemu wskaźników i miar pozwalających na zintegrowane ujęcie charakteru i stanu zrównoważenia. W pracy podjęto próbę stworzenia modelu rozwoju zrównoważonego obszarów wiejskich na poziomie lokalnym (NUTS 5). Celem stworzenia takiego modelu jest pokazanie roli samorządu gminnego w kształtowaniu kierunków rozwoju pozwalającego osiągnąć stan zarówno całościowego zrównoważenia sfery ekonomicznej, społecznej i środowiskowej, jak też osiągnięcia tzw. ładów cząstkowych. Praca stawia sobie za cel określenie poziomu zrównoważonego rozwoju będącego efektem działania trzydziestu wybranych gmin z regionu woj. lubelskiego i mazowieckiego, w którym przeprowadzono badania działalności samorządów lokalnych. Szczegółowe wartości cząstkowych wskaźników rozwoju zrównoważonego pozwalały na stworzenie ogólnego wskaźnika rozwoju zrównoważonego, który wyliczono dla badanych gmin. Umożliwiało to uporządkowanie badanych gmin według stopnia zrównoważonego rozwoju.
Identification of Fe-bearing phases in the as-cast microstructure of AA6026 alloy and their evolution during homogenization treatment
Authors: Radetic T. , Popovic M. , Novakovic M. , Rajic V. , Romhanji E.
Published: November 2023

The Fe-bearing intermetallic phases present in the as-cast AA6026 alloy and their evolution during homogenization treatments at 480-550?C were investigated using optical microscopy, SEM, and TEM techniques in combination with EDS analysis. In addition to the ?-Al(Fe,Mn)Si phase with dendritic morphology, two types of plate-like Fe-bearing microconstituents were revealed in the microstructure of the as-cast alloy. The EDS microanalysis and electron diffraction showed that one set of platelets represented thin sections of ?-Al(Fe,Mn)Si microconstituent. The other set of plate-like microconstituents was identified as a tetragonal, silicon-rich ?-Al4(Fe,Mn)Si2 phase. The formation of the ?-Al4(Fe,Mn)Si2 phase was attributed to the chemical composition of the alloy. During homogenization, the metastable ?-Al4(Fe,Mn)Si2 transformed into the ?-Al(Fe,Mn)Si phase and fragmented. The dendritic ?-Al(Fe,Mn)Si microconstituents underwent fragmentation. However, while the ?-Al(Fe,Mn)Si microconstituents preserved a b.c.c. crystal lattice throughout the process, the product of the transformation of the ?-Al4(Fe,Mn)Si2 phase exhibited primitive cubic lattice.
Animal models of epilepsy
Authors: Mitina Natalia N. , Kondakova Elena V. , Tarabykin Victor S. , Babaev Alexey A.
Published: November 2023

Animal models of epilepsy are valuable tools for studying the pathogenesis of the disease, developing new methods of treatment, searching for anticonvulsants and evaluating their effectiveness. Rodents, such as rats and mice, are the most popular subjects for research due to the similarity of the human and rodent brain structure. Recent studies include other model species such as dogs, cats, primates, as well as non-mammals such as zebrafish, fruit flies, leeches and planarians.
This review discusses the use of animal models in research and analyzes their advantages and limitations. The classification of models is based on the phenotype of the disorder, with special attention paid to drug-resistant epilepsy. The review also highlights the imperfection of existing models and the need to select the most relevant for specific research purposes. It is also important to remember that animal models cannot fully recreate the complexity of the clinical picture of epilepsy in humans, but they play an important role in understanding the mechanisms of the disease and developing new therapeutic approaches.
In conclusion, the review highlights the need for continuous improvement of existing animal models and the development of new ones to more accurately reflect the diversity of epilepsy phenotypes and provide more effective research and treatment methods. The need for new models of drug-resistant epilepsy, which could help in the development of fundamentally new antiepileptic drugs, remains particularly relevant.
Global Challenges and Plurilateral engagement in the Indian Ocean world
Authors: Ramraj Victor Vridar
Published: November 2023

Abstract The Indian Ocean is the historic cross-roads of the world. On most measures—linguistic, religious, political, legal, and economic, among others—its diversity is unparalleled. While the region is home to perhaps the most strategically important state actors in an age of intense superpower rivalry, it is equally home to an astonishing range of nonstate actors whose influence and significance should not be underestimated. Many religious, indigenous, and local nonstate actors and networks have a long pedigree, sometimes dating back centuries. Layered on these legacy organizations are a vast range of contemporary nonstate, transnational regulators active in the region. These actors play an increasingly important but overlooked role in global governance and can be effectively engaged in situations where states are unable or unwilling to act. This article explores how Canada and nonstate actors based in Canada and beyond might engage plurilaterally with nonstate actors in the Indian Ocean region.RésuméL'océan Indien est le carrefour historique du monde. Sur la plupart des mesures - linguistiques, religieuses, politiques, juridiques et économiques, entre autres - sa diversité est sans précédent. Et si la région abrite peut-être les acteurs étatiques les plus importants sur le plan stratégique à une époque d'intense rivalité entre superpuissances, elle abrite également une gamme étonnante d'acteurs non étatiques dont l'influence et l'importance ne doivent pas être sous-estimées. De nombreux acteurs et réseaux non étatiques religieux, autochtones et locaux ont un long pedigree, remontant parfois à des siècles. À ces organisations profondément enracinées s'ajoutent une vaste gamme de régulateurs transnationaux non étatiques contemporains actifs dans la région. Ces acteurs jouent un rôle de plus en plus important mais négligé dans la gouvernance mondiale et peuvent être efficacement engagés dans des situations où les États ne peuvent pas ou ne veulent pas agir. Cet article explore comment le Canada et les acteurs non étatiques basés au Canada et au-delà pourraient s'engager de manière multilatérale avec des acteurs non étatiques dans la région de l'océan Indien.Keywords: nonstate actors; Indian Ocean region/Indo-Pacific; global governance; sovereignty; pluralism; transnational regulation; plurilateral diplomacyMots-clés : acteurs non étatiques; région de l'océan Indien/indo-pacifique; gouvernance globale; souveraineté; pluralisme; régulation transnationales; diplomatie plurilatérale
Analyzing the decision-making process of international trade agreements using Petri nets
Authors: He Yingchao
Published: November 2023

This paper aims to analyze regulatory cooperation in international trade agreements by combining petri net models with intuitionistic fuzzy petri net models. A security information system for international trade agreements combines formal mathematical methods with visual graphics. The correlation matrix and invariants method is utilized to analyze invariants in international trade agreements. The correlation matrix reorganization algorithm is employed to examine correlation factors in the decision-making process of international trade agreements. The results show that the fuzzy Petri net model has the least fluctuation in analyzing the information security posture value of international trade agreements, and the security posture value floats between 6.7 and 7.3. The newest ITA regulation is 0.2 higher than the traditional regulation in consistency, the embodiment of the newest ITA regulation in democracy is 0.75, and the transparency in the newest ITA regulation is increased by 0.3. This paper’s research enhances the useful data and information for analyzing the factors influencing ITAs’ decision-making.
An Exploration of the Precision Path of Integrating Artificial Intelligence Technology into Japanese Literature Education
Authors: Ma Lili , Yang Yixiao
Published: November 2023

With the further spread of Japanese literature, this paper explores the application of artificial intelligence technology in Japanese literature education, improves the feature extraction TF-IDF algorithm based on information theory, counts the information content of the keywords as the control coefficient of their TF-IDF values in the final result, and constructs the TFIDF-BOIT linguistic feature extraction algorithm for Japanese literary works. The style analysis of literary works was conducted by screening five-dimensional variables based on the extracted linguistic features. A more targeted teaching path is proposed by analyzing the language features and styles of various Japanese literary works. The DR in Japanese literature during the Nara period was 0.345, and the DLS was 0.472. While in the Meiji period, the DR in literature decreased by 0.104, and the DLS increased by 0.085. The refinement of literature education can be achieved through the intelligent analysis of Japanese literature.
Digital news ecology and polarization in the context of deep learning: empowerment, entrenchment and reconciling failure
Authors: Feng Yi
Published: November 2023

This paper aims to discuss the causes of public opinion polarization in digital news ecology and then analyze group polarization’s specific manifestations and carriers. Secondly, it introduces word embedding technology to analyze digital news text, utilizes a multi-head self-attention mechanism to construct a new classification model, and realizes collaborative filtering recommendations of digital news based on users’ interests and news hotspots. Finally, social media is taken as an example to analyze the factors that cause polarization in digital news ecology. The results show that the digital news ecosystem can empower the development of the polarization phenomenon, deeply involve users, and group users by solidifying their identity construction, social endorsement and other directions. It can also provide a space for the polarization phenomenon to be reconciled, but due to the emotional loss of control and the decline of publicity leading to the failure of reconciliation, the similarity of sadness emotion reconciliation is 36.94%. It is suggested that the digital news ecology provides technical support for developing polarization phenomena, enabling them to thrive in digital news.
Research on the Innovation of Path of Nurturing Education for Ethnic Minority Students in Service Colleges and Universities in the Context of Big Data
Authors: Guan Weiwei , Yang Xiaoshan
Published: November 2023

This paper firstly discusses the special name of ethnic minority students’ formation education in colleges and universities under the background of big data, analyzes the influencing factors of formation education, and puts forward the 1535 innovative education model of formation education in colleges and universities. Secondly, based on the innovative education model, the evaluation index system of nurturing education was constructed, the triangular fuzzy number was introduced to optimize the hierarchical analysis method, and the weights of the indexes were determined by using TNFAHP. Finally, an empirical analysis was carried out to assess the effectiveness of the 1535 education model in nurturing education and the evaluation index system. The results show that the path of ethnic minority students in colleges and universities can be coordinated through the development of living habits, learning habits, and civilized habits, and the comprehensive evaluation score of the Adult Education 1535 education model is 80.57 points. This shows that the 1535 education model can effectively promote the formation of education for ethnic minority students and improve their study habits, civilized quality, and life etiquette.
Reform and Innovation of Dance Choreography Teaching Based on Virtual Environment Technology
Authors: Yang Jing
Published: November 2023

This paper firstly researches the reform and innovation of higher vocational dance choreography teaching under the background of new media and puts forward the reform and innovation suggestions of higher vocational dance choreography teaching according to the structure and thinking steps of higher vocational dance choreography teaching. Then, research on dance choreography teaching based on virtual environment technology, using quaternion interpolation to define the distance between dance action frames in dance choreography teaching video, selecting public frames of dance choreography teaching video based on the definition of dance action, articulating the keyframes of dance action according to splicing the dance action sequences and analyzing the research on innovation of higher vocational dance choreography teaching. The results showed that in posture, the P-value of students’ shoulder, torso, sitting, standing, walking, and overall posture were less than 0.01, with highly significant differences. In terms of students’ aesthetics, the P value of students’ aesthetic sensibility was 0.026, P<0.05, aesthetic appreciation P value was 0.051>0.05, and aesthetic creativity P=0.063>0.05, which shows that students in the control class got a significant improvement in aesthetic sensibility. This study plays a certain role in inspiring and leading generalization for the teaching of dance choreography.
Innovative Path of Civic Education Management Mode in Colleges and Universities Based on Bayesian Networks
Authors: Xu Jinping
Published: November 2023

This paper constructs a Bayesian network structure learning model using both the Bayesian network and the Notears algorithm. Combined with acyclic graph and conditional probability table, the structure and parameters of BN are described respectively. Focusing on the basic methods of Bayesian network structure, the hybrid algorithm based on Notears is chosen as the basic method of structure learning by analyzing the application of the evaluation search method, constraint method and hybrid search algorithm. The results show that the ideal education management method should focus on the integration with real life, so much so that it has a low rate of detachment from reality as well as a low rate of theory, accounting for 0.35 and 0.4, respectively. The traditional way of management of ideology and political education in colleges and universities is more theoretical and detached from the actual situation of education and management, with theoretical management accounting for 0.75, and management is inefficient, with a percentage of 0.6. The research in this paper promotes, to a certain extent, the innovation of the management of the ideological education in colleges and universities, for the management of ideological education in colleges and universities.
Modelling and implementation mechanisms for power assessment under ecological environment and sustainable development
Authors: Wu Qiujia , Zhou Zhi’e , Mai Yuanhan
Published: November 2023

In this paper, the constraints faced by the power sector in terms of energy, economy and ecology are first studied in depth, and the relationship between investment efficiency and new power development is explored by using the Data Envelopment Analysis (DEA) method. Secondly, the parameters of the least squares support vector machine (LSSVM) model are optimized based on phase space reconstruction and the artificial bee colony (ABC) algorithm, and an optimized ABC- LSSVM wind abandonment power assessment model is proposed. Finally, the proposed wind power abandonment assessment model’s accuracy and precision are verified by comparing it to the traditional maximum probability method. The results show that the evaluation result obtained by using the traditional maximum probability method is 4580.15 MWh, and the evaluation result of the ABC-LSSVM algorithm is 5123.12 MWh, while the actual output power is calculated as 4975.63 MWh, which indicates that the ABC-LSSVM algorithm is better than the traditional maximum probability method model in the evaluation of wind power abandonment. This paper accurately evaluates the wind power abandoned by wind turbines, which is of guiding significance for realizing wind reuse and rational planning of the power grid.
The Application of Big Data Technology in Educational Management in Higher Education
Authors: Ma Fangqin
Published: November 2023

In this paper, we first constructed a college education management system based on big data technology, clarified the system layout, analyzed the functional requirements of different personnel roles, and used the B/S development structure and mode to complete the layout and construction of hardware. Then, the evaluation model is established by using factor analysis and principal component analysis to calculate the eigenvalue, variance contribution rate and comprehensive score of each factor, and the evaluation index system is established. Finally, the effect of digital education management in colleges and universities is evaluated in terms of reliability, responsiveness, assurance and tangibility, and overall perceived quality. The scores of all dimensions are higher than 4, the student’s expectations are all in the range of 5-6.5, and the real perception is in the range of 4-5.5. Teachers’ expectations were in the range of 5-6 points, and their true perceptions were in the range of 4-5 points. Teachers and students are satisfied with the effectiveness of school management. This study has significance for educational reform as well as management upgrading in colleges and universities.
Exploration of Talent Cultivation Path for Art and Design Majors under Industry-Teaching Integration Mode Based on Big Data Analysis
Authors: Deng Shaobo
Published: November 2023

This paper combines the three elements of industry-teaching fusion with the competency characteristics of art design professionals and puts forward a specific cultivation path for art design professionals under the industry-teaching fusion mode with respect to the cultivation value of industry-teaching fusion for art design professionals. The association rule algorithm is selected to set up art design professional courses, and the neural network algorithm is selected to establish the talent cultivation mechanism model of industry-teaching fusion under the background of big data. According to the association rules for talent training path effect prediction, and then use big data is used to analyze the demand characteristics of art design professional talent training under the fusion of industry and education based on the demand characteristics for targeted talent training. The average difference between the student’s scores and the actual scores is 17.38, the accuracy rate of the model is 87.15% in the case of the allowable error range of 10 points, and the accuracy rate of the model is 90.55% in the case of the allowable error range of 15 points. A series of interventions, such as promotion rate prediction and academic warning, can be implemented based on this.
Exploration of Enterprise Financial Management Innovation Based on Accounting Informatization under the Background of Big Data
Authors: Heng Yixin , Zhang Yanping
Published: November 2023

This paper first demonstrates an enterprise-intelligent financial management platform built on big data technology. Secondly, KPCA is used to preprocess financial data to improve the accuracy of financial data warnings and combined with the XGBoost algorithm to construct a financial warning model to analyze the enterprise’s economic crisis. Finally, the enterprise’s intelligent financial management platform underwent performance testing and prediction analysis. The results show that when the number of concurrent users is 100, the average response time of the platform is 1.94s, and the error rate of the system is about 0.5%. The platform can also predict and analyze financial data of the enterprise, which can help the enterprise better understand its financial situation and formulate a development plan. In summary, accounting automation can promote the development of enterprise financial management innovation. Intelligent financial management platforms can further realize enterprise accounting informatization to help enterprises achieve good economic development.
Model innovation of mental health education personnel training based on the environmental psychological characteristics model
Authors: Wang Yunling
Published: November 2023

Exploring the innovative model of mental health education talent training is beneficial for aiding students in establishing correct mental health concepts. In this paper, starting from the data mining algorithm based on the random forest algorithm and XGBoost algorithm, the RF-XGBoost hybrid analysis model is jointly constructed by the residual sequence of the random forest model and the prediction sequence of the XGBoost model. The influencing factors of mental health education were described, the integration model of mental health education talent cultivation was given, and the data analysis of the principles and contents of integrated talent cultivation using the RF-XGBoost hybrid model was conducted with the University of Z as an example, from the cultivation principles, wholeness, coordination, and continuity improved by 90.09%, 71.47%, and 90.86%, respectively, compared with 2017. Regarding the training content, the percentages of those who rated very satisfied, generally satisfied, and dissatisfied were 57.36%, 30.01%, and 12.63%, respectively. This shows that the integrated talent training model can help mental health education achieve its cultivation goals and establish the correct concepts for students.
Analysis of factors affecting the transformation of scientific and technological achievements in universities based on structural equation modeling
Authors: Wang Weiman , Wang Shifeng
Published: November 2023

Based on structural equation modeling, this paper measures and evaluates the transformation of scientific and technological achievements of colleges and universities in terms of implicit and explicit variables. The PLS algorithm is used to measure the intrinsic factor, which is designed to follow the Gaussian distribution and reach the expected value through iterative loops. The indicators and parameters of the explicit variables are evaluated by combining the principal component analysis and the great likelihood method. According to the results, the factors that are influenced by the policy environment account for 16.5%, while the problem of capital investment accounts for 36.3%. The number of invention patents increased by 8.93% after measuring and assessing them using the method presented in this paper. It demonstrates that universities can explore their technological achievements in depth and enhance their scientific research level.
Research on the synergistic development of artisanal skill talents cultivation and industry in the context of vocational education based on integration characteristics and cluster analysis
Authors: Tong Haijun , Cai Ying
Published: November 2023

This paper adopts the combination of fusion features and data clustering analysis, using fusion features and the FasterRCNN algorithm to process the data of artisanal skill cultivation and industrial synergistic development in the context of vocational education and derive relevant features. The features are fused and categorized by means of anchor frame extraction, and the processed data form a feature model. Then, the current development of vocational education in 31 provinces in China was analyzed using data clustering analysis, and Jiangsu Province, which has the best development, was selected for data collection. Six hundred and fourteen pieces of graduate information were selected for cluster analysis, and it was concluded that the cultivation of artisanal skill talents in the context of vocational education has a positive impact on the synergistic development of the industry.
Research on intelligent analysis and identification of visualization scenes in transport supervision hall based on image processing technology
Authors: Gu Liang , Hao Xiaowei , Gong Xin , Feng Jinglun , Gao Qidong , Li Rongsheng
Published: November 2023

This paper firstly investigates the visual scene testing method with image processing technique and predicts the number of scenes by UML structure. Secondly, the scene recognition of the transport supervision hall is performed by using image processing technology, and the ant colony optimization algorithm is proposed for local search to update the scene information and edge extraction. Then, the ED-AlexNet network model is constructed to detect and identify the target scenes. Finally, an error matrix is introduced to calculate the confidence of the sample model distribution in the test set, and the recognition extraction performance and recognition accuracy of the ED-AlexNet network model are analyzed. The study shows that when the error matrix is introduced, the highest value of ED-AlexNet F – measure is close to 0.9, and the end value is over 160, which has a good performance of scene target recognition extraction. The average recognition accuracy of ED-AlexNet is higher than 95%, with good compatibility and high accuracy of recognition.
Diversified curriculum innovation of college music education under deep learning model
Authors: Xin Yajing
Published: November 2023

In order to innovate the college music education model, this paper first analyzes the design ideas of music-diversified courses based on deep learning and carries out the feature extraction of music course content. Secondly, combined with the diversified music wisdom environment and curriculum evaluation, a diversified music curriculum system teaching model based on deep learning is designed. Finally, the teaching practice is conducted, and a control experiment is designed to analyze the effectiveness of diversified curriculum innovations. The results showed that after the teaching practice, the basic level of the experimental class increased by 0.26, the cognitive ability increased by 0.23, the learning attitude increased by 0.23, the learning style increased by 0.23, and the interests and hobbies increased by 0.25. The diversified curriculum based on this paper can effectively carry out music teaching innovation.
Research on Digital Business English Teaching Mode under the Background of Big Data Technology
Authors: Chen Qian , Wang Zhenxing
Published: November 2023

This paper proposes an automatic grammar error correction model based on an encoder-decoder structure, which is combined with a new business English teaching model that can improve the teaching quality of teachers and enable students to get feedback quickly. The model employs a dual encoder structure and extracts source sentence information through an encoder that is based on the attention mechanism. Meanwhile, a fluency-based data augmentation method is also proposed in order to be able to select sentences with different fluency levels based on the fluency ratio between the target sentence and the source sentence. Finally, a Passive-Aggressive algorithm for candidate word selection has been designed, which can avoid generating repetitive and short-biased English sentences. It has been verified that the total grade of the class that incorporates this paper’s model in business English teaching has increased by 9.3 points on average, with the most obvious improvement in business writing by 3 points, followed by translation by 2.8 points. The proposed teaching model in this paper can enhance students’ comprehensive use of business English.
To the Question of an Qnalytical Estimate Some Internal Sizes of the Earth
Authors: Гладков С.О.
Published: November 2023

С помощью модельного представления о движении ядра Земли в вязком континууме, получено его уравнение движения, и аналитически найден линейный размер барисферы. Дана вполне адекватная оценка расстояния от центра Земли до центра масс ядра, не противоречащая современным геодезическим представлениям. Показано, что предложенная модель, не связанная с измерением скоростей продольных и поперечных сейсмических волн, позволяет вполне удовлетворительно определить ряд основных геометрических параметров барисферы и ядра. Все проведенные вычисления основаны на идее применения подвижного базиса, в котором динамические уравнения движения имеют весьма компактный и значительно более простой вид в отличие от декартовых координат. Помимо этого, главное преимущество подобного подхода связано еще и с возможностью аналитического решения полученных уравнений, что дает нам вполне обоснованную и объективную модель, позволяющую предсказать ряд геометрических параметров, касающихся внутреннего строения Земли, и дающих возможность их численной оценки. Описанный подход можно применить к решению отдельных геофизических задач, в качестве одной из которых можно рассмотреть, например, расплавленное внешнее ядро в виде неньютоновской жидкости, динамическая вязкость которой возрастает с увеличением расстояния от центра Земли.

Using a model representation of the motion of the Earth’s core in a viscous continuum its equation of motion is obtained and the linear size of the barispheric is analytically found. A completely adequate estimate of the distance from the center of the Earth to the center of mass of the core is given which does not contradict modern geodetic ideas. It is shown that the proposed model, which is not related to the measurement of the velocities of longitudinal and transverse seismic waves, makes it possible to determine quite satisfactorily all the basic geometric parameters of the barisphere. In addition, the main advantage of this approach is also associated with the possibility of analytically solving the resulting equations, which gives us a completely justified and objective model that allows us to predict a number of geometric parameters relating to the internal structure of the Earth and making it possible to evaluate them numerically. The described approach can be applied to solving individual geophysical problems, one of which can be considered, for example, the molten outer core in the form of a non-Newtonian fluid, the dynamic viscosity of which increases with increasing distance from the center of the Earth.
Some Methods of Additional Processing of GPR Data on the Example of Radargrams Obtained in the Crater of the Gorely Volcano (Kamchatka)
Authors: Павлова В.Ю. , Водинчар Г.М. , Некрасова М.Ю.
Published: November 2023

В статье представлены результаты работы с прибором георадар «ОКО-250» в кратере вулкана Горелый (Камчатка). В мировой практике это первый опыт проведения исследования методом георадиолокации в кратере активного вулкана. В 2010-2011 году на вулкане Горелый регистрировалось непрерывное спазматическое вулканическое дрожание. Периодически из кратера вулкана наблюдалась парогазовая деятельность. В августе 2011 года, когда были проведены полевые работы, сейсмичность на вулкане Горелый продолжала оставаться выше фона. Данная работа является частью исследований, направленных на решение основной цели, которая заключается в создании научно-методической основы метода георадиолокации применительно к Камчатке, включая методику обработки и интерпретации данных, с учетом практического опыта применения на различных объектах. Одна из решаемых задач, затрагиваемая в данных исследованиях, заключается в применение некоторых методов дополнительной обработки результатов зондирования на конкретных объектах исследования для изучения особенностей волновой картины на радарограммах. Представленные в работе методы дополнительной обработки радарограмм позволяют детально проанализировать волновую картину. При этом выбор методов будет зависеть от поставленных целей и решаемых задач.

The article presents the results of work with the georadar «OKO-250» in the crater of the Gorely volcano (Kamchatka). In world practice, this is the first experience of conducting research using the method of ground-penetrating radar in the crater of an active volcano. In 2010-2011, continuous spasmodic volcanic trembling was recorded on Gorely volcano. Steam-gas activity was periodically observed from the crater of the volcano. In August 2011, when field work was carried out, seismicity at Gorely volcano continued to remain above background. This work is part of the research aimed at solving the main goal, which is to create a scientific and methodological basis for the GPR method in relation to Kamchatka, including the methodology for processing and interpreting data, taking into account practical experience of application at various sites. One of the tasks addressed in these studies is the use of some methods for additional processing of sounding results on specific objects of study in order to study the features of the wave pattern on radargrams. The methods of additional processing of radargrams presented in the paper make it possible to analyze the wave pattern in detail. In this case, the choice of methods will depend on the goals and tasks to be solved.
On a Mixed Problem for a Third Order Degenerating Hyperbolic Equation
Authors: Макаова Р.Х.
Published: November 2023

В работе исследуется смешанная краевая задача для гиперболического уравнения третьего порядка с вырождением порядка внутри области. В положительной части области рассматриваемое уравнение совпадает с уравнением Аллера, которое является уравнением третьего порядка гиперболического типа, хотя его принято называть уравнением псевдопараболического типа. А в отрицательной части области оно совпадает с вырождающимся гиперболическим уравнением первого рода, частным случаем которого является уравнение Бицадзе-Лыкого. Для исследуемой задачи доказана теорема существования и единственности регулярного решения. Единственность решения исследуемой задачи доказана методом Трикоми. Относительно следов искомого решения найдены соответствующие фундаментальные соотношения. С помощью метода интегральных уравнений вопрос существования решения задачи эквивалентно редуцируется к вопросу о разрешимости интегрального уравнения Вольтерра второго рода относительно следа производной искомого решения. Согласно общей теории линейных интегральных уравнений Вольтерра второго рода, полученное уравнение разрешимо единственным образом в классе регулярных функций. Решение исследуемой задачи можно выписать в явном виде как решение смешанной задача для уравнения Аллера в положительной части области и как решение задачи Коши для вырождающегося гиперболического уравнения первого рода в отрицательной части области.

The paper investigates a mixed boundary value problem for a third-order hyperbolic equation with order degeneration inside the domain In the positive part of the domain, the equation under consideration coincides with the Hallaire equation, which is a third-order hyperbolic equation, although it is commonly called an pseudoparabolic equation. In the negative part of the domain, it coincides with the degenerate hyperbolic equation of the first kind, the special case of the Bizadze-Lyskov equation. For the problem under study, a theorem on the existence and uniqueness of a regular solution is proved. The uniqueness of the solution is proved by the Tricomi method. Regarding the desired solution, the corresponding fundamental ratios have been found. Using the method of integral equations, the existence of a solution is equivalently reduced to the solvability of the Volterra integral equation of the second kind with respect the derivative of the desired solution. According to the general theory of Volterra integral equations of the second kind, the resulting equation is uniquely solvable in the class of regular functions. The solution to the problem can be stated explicitly as a solution to the mixed problem for the Hallaire equation in the positive part of the domain and as a solution to the Cauchy problem for the degenerate hyperbolic equation of the first kind in the negative part of the domain.
Effect of dapagliflozin on the dynamics of magnetic resonance imaging in patients with heart failure and atrial fibrillation
Authors: Saipudinova Karina M. , Uskach Tatiana M. , Shariya Merab А. , Ustyuzhanin Dmitry V. , Dobrovolskaya Svetlana V. , Tereshchenko Sergey N.
Published: November 2023

Aim. To determine the effect of dapagliflozin therapy on myocardial remodeling and fibrosis according to magnetic resonance imaging (MRI) with contrast in patients with chronic heart failure (CHF) and atrial fibrillation (AF).
Materials and methods. In the group of 22 patients with a combination of CHF and AF we analyzed the dynamics of remodeling parameters and assessed myocardial fibrosis during 6-month therapy with dapagliflozin according to cardiac MRI with contrast.
Results. After 6 months of dapagliflozin therapy there was a statistically significant increase in LVEF (27 [23-32]-32 [26.5-36.5] p-0.04) and a tendency to decrease volume and linear dimensions of LV, LP. There was no progression of myocardial fibrosis according to the results of cardiac MRI with contrast in patients with HFrFV and AF.
Conclusions. Dapagliflozin therapy in patients with HFrEF and AF led to favorable myocardial remodeling changes.