bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spatial Characterization of Sports Economic Linkages - Based on an Evolutionary Game Theory Perspective
Authors: Chen Ruikai , Wang Shuiquan 
Published: August 2024

Abstract
There exists an important connection between the development of the sports economy and the development of spatial characteristics, but the current development of spatial characteristics of sports economic linkages suffers from the lack of identification and screening of the subjects of interest and the inability to articulate the structure of the interests of each subject. The article adopts the research paradigm based on rooted theory to encode the game phenomenon of the spatial characteristics of sports economic linkages and constructs an evolutionary game model that integrates the sports administrative regulator, the supply side of community public sports services, and the demand side. The optimal equilibrium strategy to promote the sustainable development of urban community public sports services spatial governance is also explored by combining the Jacobian matrix and simulation experiments. Although the tripartite subjects play different dynamic roles at different stages of transformation, they all converge to the steady state of (1, 1, 1) in the end. In addition, the three have different evolutionary processes. First, the probability of choosing the support strategy in the economic core area decreases and then rises, while the probability of government support and mass recognition both increase. The economic core area, government support, and mass recognition are all experiencing a gradual increase. Finally, the probability of mass recognition shows a first decline and then a rise, while the probability of economic core area and government support continues to show an increase, and the three finally evolve into a (1, 1, 1) strategy steady state.
Analysis of Behavioral Motivation in a Self-Management Model of Physical Activity Supported by Information Technology
Authors: Feng Yingge 
Published: August 2024

Abstract
In recent years, the topic of scientific exercise has attracted widespread attention, and people realize that participating in physical exercise requires the management of physical exercise behavior in order to reap the desired results. In this paper, we propose an exercise prescription recommendation based on the K-means clustering algorithm and a self-adjustment mechanism based on NLP sentiment analysis. We aim to provide the public with more professional and planned exercise programs. A sample of 1000 online user data from exercise software is taken for simulation experiments to verify the recommended method’s iterative effect and effectiveness. The data show that the optimal number of clusters for both male and female users is five, and the clustered body types are analyzed according to the mean of the Z-Score standard score, which shows that the five boys’ body types are obese, thin, lean, strong, and athletic, and the five girls’ body types are lean, agile, thin, obese, and fat, respectively. The confusing heatmap of the NLP affective tendency reflects its affective. The classification method is effective, and the overall correct rate of sentiment analysis reaches 94.5%, of which the classification of users with positive emotional tendencies is the best, with a correct rate of 97.8%, while the classification of users with no emotional tendencies is poor, with a correct rate of 87.6%. The model’s AUC value in the ROC curve is 0.82, which means it has a better classification effect. In addition, taking a sample in the first category of male physique as an example, the NLP sentiment analysis method derives an exercise prescription adjustment that increases the intensity of this user’s exercise by 40% through his exercise data and sentiment feedback text.
An applied study of using deep learning technology to develop training programs for athletes in college physical education
Authors: Jia Chaofeng , Liang Changbin 
Published: August 2024

Abstract
This paper proposes the integration method of athlete training volume monitoring information based on deep learning, preprocessing the monitoring information using wavelet transform, obtaining the athlete training volume information after denoising and dimensionality reduction, combining with the theory of deep learning, utilizing convolutional neural network for feature extraction and integration of the processed information, and performing simulation test and analysis. The average Gini coefficient is 84.926, which proves the effectiveness of the method used in this paper. After exercising, the athletes’ weight and body fat rate were monitored to reduce a certain degree, and their lung capacity was improved. A deep learning algorithm generated personalized exercise program training achieved a heart rate interval of 94% for safe and effective workouts. The three stages of the test subjects’ training were tracked and analyzed, and the use of training monitoring can effectively promote the efficiency of training. The physical fitness program (P < 0.01) and physical fitness test (P < 0.05) in the first stage compared with the third stage showed significant improvement.
Research on the optimization model of personalized training for athletes based on machine learning in college physical education
Authors: Liang Changbin , Jia Chaofeng 
Published: August 2024

Abstract
We use deep learning to extract and identify the physiological indicators, sports, and data analysis parameters, providing scientific references for athletes’ personalized training. This paper aims to construct an optimization system for personalized training for athletes based on machine learning. Initially, we designed the system’s overall structure, hardware, and software scheme, and then we modeled the algorithms for measuring four physiological parameters. The NTC thermistor thermometry method was utilized to measure body temperature, the photoelectric volumetric method for determining blood oxygen and heart rate, and the ECG signal method for calculating blood pressure. The adaptive threshold method uses the human body’s steady-state recognition algorithm, based on a single triaxial acceleration sensor, to recognize steady-state motion states such as resting, running, and walking. After the construction of the system was completed, it was applied to the sports team of a university in Guangzhou, and a semester of personalized training optimization experiments for athletes was conducted. The system found a maximum error of 0.02 °C between the measured body temperature and the results from the medical temperature gun, ensuring stable performance during short-term body temperature changes like training. Except for B, C, D, and G errors of 1%, the rest of the athletes monitored by the system in this paper’s blood oxygen results are consistent with the oximeter. The accuracy of recognizing each sport is above 90%. In the eight swimming events that need to be assessed, the average score before the beginning of the semester was 65.43, and after the experiment, it was 87.14, an improvement of 21.71 points. The system in this paper has a great auxiliary effect on the optimization of personalized training for athletes in terms of physical function monitoring, sports status statistics, and training intensity setting, which provides new ideas and methods for the integration of personalized training for athletes with cutting-edge information technology.
Community detection on elite mathematicians’ collaboration network
Authors: Huang Yurui , Wang Zimo , Tian Chaolin , Ma Yifang 
Published: August 2024

Abstract

Purpose
This study focuses on understanding the collaboration relationships among mathematicians, particularly those esteemed as elites, to reveal the structures of their communities and evaluate their impact on the field of mathematics.

Design/methodology/approach
Two community detection algorithms, namely Greedy Modularity Maximization and Infomap, are utilized to examine collaboration patterns among mathematicians. We conduct a comparative analysis of mathematicians’ centrality, emphasizing the influence of award-winning individuals in connecting network roles such as Betweenness, Closeness, and Harmonic centrality. Additionally, we investigate the distribution of elite mathematicians across communities and their relationships within different mathematical sub-fields.

Findings
The study identifies the substantial influence exerted by award-winning mathematicians in connecting network roles. The elite distribution across the network is uneven, with a concentration within specific communities rather than being evenly dispersed. Secondly, the research identifies a positive correlation between distinct mathematical sub-fields and the communities, indicating collaborative tendencies among scientists engaged in related domains. Lastly, the study suggests that reduced research diversity within a community might lead to a higher concentration of elite scientists within that specific community.

Research limitations
The study’s limitations include its narrow focus on mathematicians, which may limit the applicability of the findings to broader scientific fields. Issues with manually collected data affect the reliability of conclusions about collaborative networks.

Practical implications
This study offers valuable insights into how elite mathematicians collaborate and how knowledge is disseminated within mathematical circles. Understanding these collaborative behaviors could aid in fostering better collaboration strategies among mathematicians and institutions, potentially enhancing scientific progress in mathematics.

Originality/value
The study adds value to understanding collaborative dynamics within the realm of mathematics, offering a unique angle for further exploration and research.
The role of genetic and epigenetic factors on the development of cognitive deficits in patients with severe trauma after repeated anesthesia (literature review)
Authors: Kuchina S. N. , Spivak I. M. , Shchegolev A. V. , Levshankov A. I. 
Published: August 2024

Introduction. When a severe combined injury occurs in a patient, various biochemical, humoral, cellular and pathophysiological mechanisms of protection against death occur. Immediately after receiving an injury, the patient is hospitalized in a hospital for medical care, where every effort is made to stabilize the condition, resorting to the appointment of various instrumental and laboratory tests. The development and course of traumatic illness, and treatment outcomes in patients with similar injuries are sometimes dramatically different. Based on this, it was suggested that there is a genetic basis for the regularity of the disease, as well as that exogenous factors themselves can affect certain molecular genetic markers, primarily telomere length.The objective was to summarize the current literature data on the study of changes in telomere length, as well as the influence of exogenous and endogenous factors on their shortening. To determine the prospects of studying the effect of polymorphic alleles of various genes on the development of a pathological condition in a certain cohort, namely the development of cognitive dysfunction in patients with severe trauma after repeated anesthesia.Materials and methods. The literature search and analysis was performed in the medical information systems PubMed and eLibrary, using the keywords «telomere», «trauma», «cognitive», and «anesthesia».Results. Since 1950, data on the study of human telomeres began to be published abroad. Between 2002 and the present, 39 articles were published on PubMed when searching for the keywords «anesthesia» and «telomeres»; by keywords «cognitive», «trauma», «telomeres» – 27. Most articles are devoted to the effect of childhood trauma on changes in telomere length, as well as the assessment of short telomeres in patients with various cognitive deficits. However, there are no articles devoted to studying the effect of repeated anesthesia, as an exogenous factor, on the genetic apparatus of a patient with severe combined trauma.Conclusion. The literature highlights the influence of various exogenous factors on the shortening of telomere length, especially in the context of childhood trauma, cognitive impairment in various observed groups. The section related to the effects of anesthesia and their number, the consequences for the genetic apparatus of a particular person, is open for study.
Impact of regional anesthesia on left and right ventricular performance after off-pump coronary artery bypass grafting: randomized controlled study
Authors: Paromov K. V. , Svirskii D. A. , Hussain A. , Neledova L. A. , Kirov M. Yu. 
Published: August 2024

Introduction. New anesthesia techniques require evidence of the safety of their implementation, however there is still the opinion about negative impact of regional anesthesia on heart performance and central hemodynamics. The objective of our study was to evaluate effect of regional anesthesia on systolic and diastolic myocardial function in off-pump coronary artery bypass grafting (OPCAB).Materials and methods. A prospective randomized controlled trial included 45 patients who underwent elective OPCAB, equally divided into 3 groups – general anesthesia in combination with epidural anesthesia (GA+EA), general anesthesia with erector spinae plane block (GA+ESPB) and general anesthesia without regional anesthesia (GA). The systolic function of the left (LV) and right ventricle (RV), as well as the diastolic function of the LV were evaluated during five stages perioperatively, using echocardiography and thermodilution via Swan-Ganz catheter.Results. There were no intergroup differences in parameters of LV or RV systolic function and LV diastolic function during study stages. Perioperatively, there was a decrease in LV end-diastolic volume in the groups of OA+ESPB (p = 0.001) and OA (p = 0.003).At the end of the first postoperative day (POD), pulmonary artery wedge pressure decreased in the groups of OA+EA (p = 0.003) and OA+ESPB (p = 0.008); meanwhile, ejection time (p = 0.003) and velocity-time integral (p = 0.005) from RV reduced only in the OA+ESPB group. In the OA+EA group at the end of POD1, the reservoir strain of left atrium (p = 0.022) and isovolumic relaxation time (p = 0.006) decreased.Conclusion. In OPCAB, epidural anesthesia and ESPB do not result in deterioration of LV systolic and diastolic function and do not have a negative impact on the RV.
Prilocaine vs bupivacaine in spinal anesthesia for urologic endoscopy: clinical trials & historical overview
Authors: Pratiwi A. , Rum M. , Palinrungi A. S. , Salahuddin A. , Faisal F. , Nurdin H. 
Published: August 2024

Introduction. In the evolving landscape of anesthetic practices for short-duration urologic procedures, the quest for an anesthetic agent that balances efficacy with minimal side effects remains a significant clinical challenge.The objective was to compare the efficacy and safety of 2% hyperbaric prilocaine and 0.5% hyperbaric bupivacaine in spinal anesthesia.Materials and methods. A comparative analysis was performed in terms of onset and duration of sensory and motor block, incidence of side effects (hypotension and bradycardia), and overall patient outcomes in urologic endoscopy. The research sample was divided into two groups, each consisting of 20 patients. In one case, spinal anesthesia was performed using 2% hyperbaric prilocaine (40 mg) + fentanyl 25 mcg, in the other – 0.5% hyperbaric bupivacaine (10 mg) + fentanyl 25 mcg.Results. Prilocaine offers a faster onset of sensory and motor block and a shorter duration of sensory block compared to bupivacaine. Prilocaine also showed a quicker recovery of full motor function and had a significantly lower incidence of side effects such as hypotension and bradycardia.Conclusion. These results suggest that 2% hyperbaric prilocaine could be an alternative to 0.5% hyperbaric bupivacaine in spinal anesthesia for urologic endoscopy, especially in procedures requiring quick recovery. The promising results of prilocaine in such short-duration surgeries can also prompt a reevaluation of anesthesia protocols across various surgical interventions and lead to enhanced patient outcomes, emphasizing safety, comfort, and efficacy of surgical care.
Epidemiological features of multiple organ dysfunction syndrome in newborns in the Kemerovo region – Kuzbass
Authors: Golomidov A. V. , Kryuchkova O. G. , Grigoriev E. V. , Chernykh A. A. , Lukashov K. V. , Maltseva E. V. , Mozes V. G. , Golomidov K. A. , Moses K. B. 
Published: August 2024

Introduction. Theoretical and practical issues of the short-term and long-term prediction of the onset of multiple organ dysfunction syndrome (MODS) and its outcomes in newborns is a promising area of neonatology, since it allows a doctor to be warned about an impending catastrophe, and opens a «window of opportunity» for timely correction of treatment tactics and prevention of complications.The objective was to study the epidemiological features and medical consequences of multiple organ dysfunction syndrome in full-term and premature newborns born in critical condition.Materials and methods. The stage of retrospective epidemiological analysis was conducted in 2023. The prevalence and outcomes of MODS over a ten-year period (2012–2022) in full-term and premature newborns in the Kemerovo region-Kuzbass were studied.Results. During the period 2012–2022, the mortality rate of children born in critical condition decreased by 2 times, the proportion of patients with MODS and persistent multiple organ dysfunction syndrome (PMODS) decreased, but this phenomenon did not lead to a decrease in the mortality rate of children with developed MODS. In the present study, MODS and PMODS most often developed in extremely immature newborns.Conclusion. Nosologies of newborns with MODS and PMODS were represented by intrauterine generalized infection, congenital pneumonia and, to a lesser extent, cerebral ischemia and congenital malformations.
Randomized Control Study to Evaluate the Effect of Rajyoga Meditation on Metabolic and Psychological Correlates of Health in Patients of Surgical Repair for Congenital Heart Disease
Authors: Naswa Ruchika , Makhija Neeti , Rajashekar P. , Kalra Sheetal , Kiran Usha 
Published: August 2024

Objectives:
Congenital heart diseases (CHDs) and their operative management are a source of emotional and financial stress to the patient and family. Rajyoga meditation (RYM) is a specific art and science of meditation that encompasses but is not limited to mind-body medicine theories, inculcation of values in life, and development of life skills for complete physical, mental, and spiritual well-being. The role of RYM has never been studied in CHD patients, especially children. This study aimed to evaluate the efficacy of the RYM program on resting metabolic rate (RMR) and post-hospitalization behavior questionnaire (PHBQ) immediately after the program and after 1 and 3 months.

Material and Methods:
It was a single-blind, randomized controlled study. Subjects operated for CHD, in the age group of 8–19 years, were included in the study. Subjects in Group A received cardiac rehabilitation and RYM (Experimental group), whereas subjects in Group B received conventional cardiac rehabilitation (Control group).

Result:
At one-month follow-up, the experimental group showed a 14.18% reduction in RMR compared to baseline, whereas Group B showed 8.96% elevated RMR from baseline. Group A showed a more significant reduction in RMR at one-month follow-up from baseline as compared to group B (P < 0.05). The patients who underwent RYM training had higher PHBQ (−9.0 [−15.6, −2.5], P < 0.05) in comparison to the control group.

Conclusion:
The result of this study suggests that the inclusion of RYM along with conventionally given cardiac rehabilitation enhanced metabolic resilience with lowered resting metabolism and enhanced recovery post-surgery in children operated on for CHD. There was an improvement in the psychological adjustment and behavior of adolescents.
Kajian Transferable skills Guru Produktif Ditinjau dari Pengalaman Mengajar
Authors: Isbiyantoro Seno 
Published: August 2024

<p>Penelitian ini mempunyai tujuan untuk mengetahui pengaruh antara pengalaman mengajar terhadap <em>transferable skills </em>pada guru produktif. Yang dimaksud sebagai <em>transferable skills </em>adalah keterampilan memecahkan masalah, berkomunikasi, berpikir dan menunjukkan kepemimpinan, baik berupa pengetahuan, nilai-nilai maupun sosial yang dapat di transfer dalam berbagai lingkungan kerja dan lingkungan belajar. Rancangan penelitian yang digunakan adalah <em>ex-postfacto</em>. Dalam penelitian ini menggunakan 137 sampel guru produktif program studi Teknik Komputer dan Informasi di kota dan kabupaten Malang serta kota Batu. Metode pengumpulan data yang diterapkan adalah angket. Analisis data menggunakan analisis deskriptif, analisis regresi linier, dan analisis korelasi parsial. Nilai signifikansi pada uji F adalah sebesar 0,000 yang berarti &lt; 0,05, sehingga diperoleh hasil bahwa Ho ditolak dan Ha diterima, jadi variabel pengalaman mengajar memiliki pengaruh terhadap transferable skills.</p>
Sorption materials controlled by an external magnetic field for the purification of aqueous media from contamination
Authors: Горшенев В. Н. , Донцов А. Е. , Яковлева М. А. 
Published: August 2024

В настоящее время в результате аварий при добыче, транспортировке и другим причинам происходит загрязнение окружающей среды и промышленных объектов различными вредными химическими веществами, в том числе нефтепродуктами. Поэтому для защиты природы от загрязнения, по-прежнему актуальна проблема разработки новых сорбционных материалов для локализации и сбора загрязнений, особенно эффективных для очистки водных сред. Новый подход решения этой экологической проблемы состоит в применении магнитоуправляемых сорбентов, а также, сорбентов на основе опилок, лигнина, лузги и т.д., обладающие большой сырьевой базой. В работе представлены результаты разработки технологии получения модифицированных углеродных дисперсных сорбционных материалов кластерами металлов и изготовления сорбционных конструкций для сбора и очистки водной поверхности от нефтяных загрязнений. Приводятся характеристики дисперсных углеродсодержащих сорбентов, полученных из отходов лесотехнических производств.
Currently, as a result of accidents during production, transportation and other reasons, the environment and industrial facilities are polluted with various harmful chemicals, including oil products. Therefore, to protect nature from pollution, the problem of developing new sorption materials for the localization and collection of pollution, especially effective for the purification of aqueous media, is still urgent. A new approach to solving this environmental problem consists in the use of magnetically controlled sorbents, as well as sorbents based on sawdust, lignin, husk, etc., which have a large raw material base. The paper presents the results of the development of a technology for obtaining modified carbon dispersed sorption materials by metal clusters and the manufacture of sorption structures for collecting and cleaning the water surface from oil pollution. The characteristics of dispersed carbon-containing sorbents obtained from wastes of forestry industries are given.