bluuebunny/crossref_metadata_2025_split huggingface dataset:
The use of artificial intelligence to diagnose diseases and predict their outcomes in newborns
Authors: Kharlamova N. V. , Yasinsky I. F. , Ananyeva M. A. , Shilova N. A. , Nazarov S. B. , Matveeva E. A. , Budalova A. V. , Ivanenkova Yu. A. 
Published: September 2023

In recent years, modern models of artificial intelligence, including neural networks, have been successfully introduced into clinical practice, due to the high accuracy of functioning and the prospects of their use for the diagnosis and prediction of various diseases. Purpose. To improve the processes of predicting and diagnosing diseases and their outcomes in newborns using neural network intelligent technologies. Material and methods. The study is based on statistically reliable collection of patient history data, mathematical analysis, fuzzy logic theory and principles of trainable neural network systems. Results. Neural network programs have been developed to predict the course of posthypoxic disorders of the cardiovascular system in newborns; to determine the probability of occurrence and outcomes in newborns of such significant diseases as cerebral leukomalacia, intracranial hemorrhages, hydrocephalus, necrotizing enterocolitis, bronchopulmonary dysplasia, retinopathy of prematurity, early anemia of prematurity; to predict the physical and neuropsychiatric development of a child to age of one year; and also to predict an unfavorable outcome (death or disability with persistent health problems) of children born earlier than 32 weeks of gestation. Conclusion. The developed artificial neural network programs can be used for personification of the therapeutic and diagnostic process and nursing of newborns, including very preterm ones.
The effect of the physical exercise on the redox status of chil- dren with repaired congenital heart diseases
Authors: Dubovaya A. V. , Usenko N. A. , Bordyugova E. V. 
Published: September 2023

Purpose. Evaluation of the impact of the physical rehabilitation program with the inclusion of ubidecarenone on the redox status in children with repaired congenital heart diseases. Material and methods. Markers of free radical oxidation (lactate, pyruvate, lactate-to-pyruvate ratio) and antioxidant system (catalase, reduced glutathione and glutathione peroxidase) were studied in 84 children, including 48 children with repaired congenital heart diseases and 36 healthy peers. The main group consisted of 28 patients who performed a rehabilitation program using physical activity in combination with taking ubidecarenone for a year, the comparison group consisted of 20 children who received only ubidecarenone. Results. After the rehabilitation program was completed, both the main group and the comparison group had a significant (p < 0.05) decrease in lactate levels, the ratio of lactate to pyruvate, and an increase in catalase and reduced RBC glutathione. The group of children who performed physical exercises had significantly lower levels of markers of free radical oxidation and higher values of markers of the antioxidant system than the patients from the comparison group. Conclusion. There are free radical oxidation and the antioxidant system impairments in children with repaired congenital heart diseases. The use of ubidecarenone reduces oxidative stress and increases antioxidant protection in children with repaired congenital heart diseases. The inclusion of physical activity in the rehabilitation program for children with repaired congenital heart diseases improves the redox status and increases the effectiveness of rehabilitation.
Potential of waterbodies as a reservoir ofEscherichia colipathogens and the spread of antibiotic resistance in the Indonesian aquatic environment
Authors: Megantara Imam , Sylviana Nova , Amira Putri Alia , Pradini Gita Widya , Krissanti Ita , Lesmana Ronny 
Published: September 2023

AbstractRiver contamination remains a significant public health problem worldwide, including in Indonesia. In the community, rivers are water resources for many purposes. However, indiscriminate use of antibiotics in the veterinary and medical sectors, the community habit of throwing waste into the river, the inadequate removal of human medicine compounds in WWTP, and poor industrial waste management will induce the spread of pathogenic bacteria and antibiotic resistance between the environment and humans/animals. This review aims to analyse the various factors that influence the emergence of pathogenic Escherichia coli and antimicrobial resistance bacteria (ARB) in the aquatic environment, especially in Indonesia. In conclusion, pathogenic E. coli can adjust its physiological or metabolic conditions to survive in aquatic environments and was found resistant to antibiotics. Meanwhile, this study also describes the potency of the aquatic environment in Indonesia as a vector for the spread of pathogenic E. coli and the growth of ARBs, factors involved in the evolution and spread of antibiotic resistance in aquatic environments, and possible ways to curtail microbial risk to public health and the emergence and spread of antimicrobial resistance in the aquatic environment in Indonesia.
Ethnomedicinal uses, Pharmacological activity, and Analytical aspects of
Galuteolin: A Natural Flavonoid of Medicinal Importance
Authors: Patel Dinesh Kumar 
Published: September 2023

Background:
Nature is the best source of all raw materials that we need for growth, development,
and better health. Flavonoids are an important class of phytochemicals found to be present
in plants and their derived byproducts. Lonicera japonica and its active phytochemicals possess
antiviral, anti-endotoxin, anti-pyretic, and blood fat-reducing properties in medicine. Moreover, Galuteolin
is a natural flavonoid that has anti-oxidant, anti-tumor, anti-infective, and antiinflammatory
potential.

Methods:
In the present review article, we have collected all scientific information on galuteolin
from different scientific databases and analyzed it to know the biological importance and therapeutic
benefit of galuteolin in medicine against human disorders. Scientific data on galuteolin were collected
from numerous literature databases, such as Google, Google Scholar, PubMed, Scopus and
Science Direct. Detailed pharmacological data on galuteolin were collected from these scientific
sources and analyzed in the present work to know the health-beneficial aspects of galuteolin in medicine.
In addition, scientific data on analytical techniques of galuteolin were also collected and analyzed
in the present work to know their importance in the separation, isolation, and identification of
galuteolin in different plant materials.

Results:
The present work signified the biological importance of galuteolin in medicine and other
allied health sectors. Pharmacological data analysis revealed the health-beneficial aspects of galuteolin
on rheumatoid arthritis, cerebral ischemia, carcinoma, COVID-19, Atherosclerosis, and melanin
biosynthesis. Further, intestinal absorption and pharmacokinetic parameters of galuteolin were
also discussed in the present work. Analytical data signified the importance of newer and modern
analytical techniques in medicine for the qualitative and quantitative analysis of galuteolin in different
biological samples.

Conclusion:
Scientific data analysis of galuteolin revealed its biological importance and therapeutic
benefit in medicine.
Older Veterans’ Experiences of a Multicomponent Telehealth Program: Qualitative Program Evaluation Study
Authors: Rauzi Michelle R , Mealer Meredith L , Abbate Lauren M , Stevens-Lapsley Jennifer E , Nearing Kathryn A 
Published: September 2023

Background
There are 8.8 million American veterans aged >65 years. Older veterans often have multiple health conditions that increase their risk of social isolation and loneliness, disability, adverse health events (eg, hospitalization and death), mental illness, and heavy health care use. This population also exhibits low levels of physical function and daily physical activity, which are factors that can negatively influence health. Importantly, these are modifiable risk factors that are amenable to physical therapy intervention. We used a working model based on the dynamic biopsychosocial framework and social cognitive theory to conceptualize the multifactorial needs of older veterans with multiple health conditions and develop a novel, 4-component telehealth program to address their complex needs.

Objective
This study aims to describe veterans’ experiences of a multicomponent telehealth program and identify opportunities for quality and process improvement. We conducted qualitative interviews with telehealth program participants to collect their feedback on this novel program; explore their experience of program components; and document perceived outcomes and the impact on their daily life, relationships, and quality of life.

Methods
As part of a multimethod program evaluation, semistructured interviews were conducted with key informants who completed ≥8 weeks of the 12-week multicomponent telehealth program for veterans aged ≥50 years with at least 3 medical comorbidities. Interviews were audio recorded and transcribed. Data were analyzed by a team of 2 coders using a directed content analysis approach and Dedoose software was used to assist with data analysis.

Results
Of the 21 individuals enrolled in the program, 15 (71%) met the inclusion criteria for interviews. All 15 individuals completed 1-hour interviews. A total of 6 main conceptual domains were identified: technology, social networks, therapeutic relationship, patient attributes, access, and feasibility. Themes associated with each domain detail participant experiences of the telehealth program. Key informants also provided feedback related to different components of the program, leading to adaptations for the biobehavioral intervention, group sessions (transition from individual to group sessions and group session dynamics), and technology supports.

Conclusions
Findings from this program evaluation identified quality and process improvements, which were made before rigorously testing the intervention in a larger population through a randomized controlled trial. The findings may inform adaptations of similar programs in different contexts. Further research is needed to develop a deeper understanding of how program components influence social health and longer-term behavior change.
Theoretical and methodological provisions regarding the development and implementation of an integral method for assessing the level of information support of the multipurpose real estate cadastre at the regional level
Authors: Mamonov Kostiantyn , Velychko Volodymyr , Holovachov Vitalii , Kovalenko Liudmyla 
Published: September 2023

The paper considers the development and implementation of a method for integral assessment of the application level of the multipurpose real estate cadastre at the regional level. Factors affecting the formation and application of the multipurpose real estate cadastre are singled out. The technology for the formation of information-analytical and spatial support of the results of an integrated assessment deserves attention. In addition, the European experience of forming and applying the multipurpose cadastre, determining the factors affecting its creation, and constructing a theoretical and methodological platform for the real estate identification is systematized.
In modern conditions, the creation of a quantitative basis for the formation and application of the multipurpose real estate cadastre is realized applying the method of integral assessment for making reasonable management decisions at the regional level and developing recommendations for increasing the efficiency of the real estate use.
Based on the formed quantitative basis based in turn on the results of an integral assessment, it is proposed to carry out mathematical modelling and determine the points of growth of the efficiency of the use of the real estate at the regional level using a multipurpose cadastre. The impact of spatial, urban planning, investment and environmental factors on the formation and application of the multipurpose real estate cadastre is determined.
Innovative Strategies for the Development of International Chinese Language Education Based on Deep Learning Models
Authors: Wang Tiantian 
Published: September 2023

Abstract
The development of international Chinese language education greatly impacts the building of a global Chinese cultural environment. This paper constructs a model structure based on a convolutional neural network with a deep learning model and explains it in detail, and uses it to analyze the current development situation of international Chinese language education. The paper also presents the performance evaluation of the convolutional neural network model and discusses the problems in the development of international Chinese language education and the innovative development direction of online teaching. From the characteristics of innovative online teaching materials, rich media, mobility, interactivity, personalization, timeliness, and open sharing become the main melodies of the development of international Chinese language education, and the five-year average values of each characteristic are 53.59%, 51.17%, 49.77%, 47.84%, 45.94%, and 42.19%, respectively. The convolutional neural network model based on deep learning can effectively analyze the problems of international Chinese language education and the direction of innovation, providing an effective technology to help the development of Chinese culture in China.
Innovation of product packaging design based on visual communication from a digital perspective
Authors: Li Zhuo 
Published: September 2023

Abstract
Innovative product packaging design is designed to build brand image, increase product sales, and thus enhance economic benefits. This paper explains the principle of the XGBoost algorithm from a digital perspective and gives the basic framework. Then the original objective function of XGBoost is approximated and expanded using Taylor’s formula to create the XGBoost classification model, and the performance is evaluated for this model. The XGBoost classification model was used to analyze the data of visual communication appositeness to the production of article shell, including the innovative design of production of article shell illustration and the innovation of visual elements. Among the illustration innovation designs, the illustration designs of life scenes, traditional patterns, famous paintings, and rui animals increased by 44.06%, 42.95%, 66.27%, and 94.25%, respectively. Among the innovation of visual elements, there are six influential elements of product packaging box form, packaging opening method, and packaging material, namely emotional, aesthetic, interesting, interactive, green, and humanistic, accounting for 46.20%, 38.92%, 52.42%, 46.80%, 49.81%, and 42.86% respectively. Promote articles to get rid of traditional thinking packaging production of article shell visual communication under the digital perspective should be based on the reality of life, enhance the design sense of product packaging, and promote the improvement of economic benefits.
Optimization of Civic Education Paths in Universities Based on the Subordination Matrix Model
Authors: Xiong Moli 
Published: September 2023

Abstract
Because of the lack of an assessment system for the current construction of curriculum thinking in colleges and universities, which leads to the slow promotion of thinking and teaching, this paper proposes an assessment algorithm for curriculum thinking based on the subordination matrix model. Firstly, it establishes the set of variables and the set of assessment levels of the course Civics elements; secondly, it uses the segmentation function to determine the subordination coefficients of each course Civics element and further establishes the subordination coefficient matrix; finally, it assigns the coefficients according to the weight of the importance of the course Civics elements in this assessment level and then calculates the comprehensive score of the whole course Civics system. The results show that in the case of the University of S, the main influence of “teaching effectiveness” is 0.415, followed by “teaching content” with a weight of 0.339; the overall score is 55.4, which is in the middle level. The overall rating is 55.4, which is at a medium level. Through optimizing the path of Civics education based on the subordination matrix scoring system proposed in this paper, Civics teaching is effectively visualized, the evaluation system of the construction of Civics in the college curriculum is improved, and the promotion of Civics teaching is accelerated.
Evaluation mechanism of local universities’ faculty construction based on SOAP technology
Authors: Lin Haiyan 
Published: September 2023

Abstract
Accelerating the construction of a high-quality faculty that can adapt to the development of schools is one of the important issues facing universities today. In this paper, we build a comprehensive evaluation system for university teachers based on SOAP technology and hierarchical analysis, adding new security feature elements to the extended namespace of SOAP messages to achieve the system’s ability to handle access control, data confidentiality, and integrity. The system uses hierarchical analysis to hierarchize complex problems, decomposing them into different constituent factors according to the problem and the goals to be achieved and aggregating and combining the factors at different levels according to their interconnectedness and affiliation to form a multi-level analysis structure model. Using this system to analyze the teaching evaluation of college teachers and the six factors of teaching, we get a combined 91.35 and 84.35 for teacher 1 and teacher 2, respectively. From the comparison results, we can see that the teaching effect of Teacher 1 is generally higher than the other five factors, and the teaching attitude of Teacher 1 is lower than the other five factors, which shows that the teaching of Teacher 1 can achieve a good teaching effect. Therefore, the comprehensive evaluation system of college teachers established in this paper based on SOAP technology and hierarchical analysis method has good practicality.
Probabilistic neural network-based diagnosis of blockage faults in air conditioning and refrigeration units
Authors: Wang Yujie 
Published: September 2023

Abstract
The refrigeration unit is a core component of the air conditioner, and its typical faults are pipe scaling and blockage, which can cause refrigerant leakage in serious cases, and these faults can affect the cooling effect of the air conditioner and even affect the safety of using the air conditioner in serious cases. Therefore, it is necessary to study the fault diagnosis system of the refrigeration unit. The traditional fault diagnosis system for refrigeration units, which generally uses wireless sensor networks to transmit data, is a challenge because of its slow diagnosis speed and the low accuracy rate of fault diagnosis for refrigeration units. This paper uses a probabilistic neural network (PNN) to debug a blockage fault diagnosis algorithm system for simulated fault training. The system successfully achieves four levels of pre-warning for blockage faults: “uncertainty, micro-blockage, blockage, and severe blockage”, with the fastest pre-warning time of “uncertainty, micro-blockage” being less than 2 seconds. The experimental results of this paper show that the PNN system can take timely measures against blockage faults, and the fault diagnosis accuracy of the model reaches 97.97%, which is 13.34% higher than the traditional fault identification algorithm. The PNN model can pinpoint the blockage faults of the refrigeration unit, which enables the working state of the refrigeration unit to be continuously optimized, and the air conditioner to maintain energy-efficient operation. The fault simulation of the air conditioning refrigeration unit in automatic control mode verifies the blockage fault diagnosis’s accuracy and the algorithm’s feasibility, providing reference and learning for the development of fault diagnosis algorithms.
LightGBM model applied in the teaching course of Civic Education integrating red culture
Authors: Huang Tao 
Published: September 2023

Abstract
To effectively promote the integration of red culture and Civic Education courses in higher education institutions, we aim to spread red culture, pass on red genes, and enrich and enhance the specific contents of Civic Education in higher education institutions. Based on the LightGBM model and then combined with the Civic Education Red Culture, this paper constructs two examples of evaluation indexes for the application of Civic Education Integrated Red Culture in teaching courses, i.e., teaching course foundation construction and teaching course effect evaluation and also conducts a comparison experiment for the performance of this paper’s model with four other models. The results show that the four performance indicators of the LightGBM model are higher than those of the other four models, with values of 0.1239, 0.0326, 0.1364, and 0.4625 for each evaluation indicator. 21.40%, 30.42%, 26.36%, and 21.82%. The overall evaluation of the teaching course effect indicators is 90.73% above C grade, among which the average percentages of A, B, C, and D indicators are 43.94%, 27.83%, 18.96%, and 9.27%, respectively, which shows that the teaching course evaluation of Civic and Political Education integrating red culture is very good. Based on the LightGBM model, Civic and Political Education integrating red culture can be well applied in teaching courses, and Civic and Political Education relying on red culture can be given a new life. In the future, we will continue to explore the same points of red and ideological and political education and promote the synergistic development of ideological and political education and red culture.
The use of red cultural and creative design in tourism cultural and creative design based on the background of big data
Authors: Gu Haiyan 
Published: September 2023

Abstract
Exploring the use of red cultural design in tourism creative design is to innovate creative tourism products. In this paper, the mathematical principle of support vector machine is introduced in detail in big data, and the optimal classification discriminant function is sought using the Lagrange multiplier method. The principle of the particle swarm optimization algorithm is also explained, and the steps and flow chart of the particle swarm optimization algorithm is given. The SVM algorithm is optimized according to the particle swarm optimization algorithm, and the PSO-SVM model is constructed. Finally, the PSO-SVM model is used for index mining of the application of red tourism cultural and creative design, which is analyzed and explained from two aspects of design elements and design performance, respectively.
Regarding design, functional, cultural, formal, and spiritual elements account for 63.18%, 59.63%, 40.39%, and 35.99%, respectively. Regarding design performance, the percentages of symbolic refinement, imagery transformation, imitation reconstruction, and modeling isomorphism are 54.69%, 51.81%, 33.48%, and 32.75%, respectively. Based on the background of big data, the PSO-SVM model can effectively analyze the way of using red cultural and creative design in tourism cultural and creative design, focusing on highlighting the spirit and cultural connotation of red culture.