bluuebunny/crossref_metadata_2025_split huggingface dataset:
TaqI polymorphism of the vitamin D receptor gene in children with growth hormone deficiency
Authors: Bolshova O.V. , Ryznychuk M.O. , Kvachenyuk D.A. 
Published: July 2023

Background. The nuclear receptor for vitamin D mediates most of the biological functions of this vitamin. It belongs to the steroid hormone receptor family, the gene for which (vitamin D receptor — VDR) is located on chromosome 12q13.1. Genetic variability has been reported in the VDR gene, in which more than 470 single nucleotide polymorphisms have been identified. One of the most common polymorphisms in the VDR gene is rs731236 (TaqI). The purpose was to study the TaqI polymorphism of the VDR gene in children with growth hormone deficiency (GHD). Materials and methods. The TaqI polymorphism of the VDR gene (rs731236) was determined using the polymerase chain reaction, followed by analysis of the length of restriction fragments detected by agarose gel electrophoresis in 28 prepubescent children with GHD. Results. In the group of patients with GHD, the proportion of heterozygotes for T/C TaqI polymorphism of the VDR gene (rs731236) is 1.28 times higher than among healthy individuals. There were 0.68 and 0.90 times fewer patients carrying T/T and C/C genotypes than in the control group. The presence of a homozygous TT genotype increases the risk of developing GHD, but not significantly (odds ratio (OR) = 1.89, 95% confidence interval (CI) 0.66–5.39; p = 0.23), and the presence of a homozygous CC genotype is protective (OR = 0.75, 95% CI 0.17–3.22; p = 0.70). When analyzing alleles in patients with GHD, the following data were obtained: carriage of the T allele for the polymorphic loci TaqI rs731236 of the VDR gene is associated with the risk of GHD (OR = 1.24, 95% CI 0.65–2.36; p = 0.52) but not significantly. The ratio of allele (pТ = 0.554, qС = 0.446) frequencies practically does not differ from 1 : 1, which indicates the preservation of allele frequencies in the Ukrainian population. Conclusions. In children with GHD, the proportion of the T/C genotype is 1.28 times higher than in the group of healthy persons. The presence of a homozygous TT genotype increases the risk of developing GHD but not significantly (OR = 1.89, 95% CI 0.66–5.39; p = 0.23). Carriage of the T allele for the polymorphic locus TaqI rs731236 of the VDR gene is associated with the risk of the growth hormone deficiency (OR = 1.24, 95% CI 0.65–2.36; p = 0.52) but not significantly.
Interactive experience of information visualization in mechanical design
Authors: Chen Ran , Xie Jun , Guo Song 
Published: July 2023

Abstract
Information visualization is a new area of research in mechanical design, and user subjective satisfaction can be improved by experiencing visual interactions. With this as a starting point, this paper introduces a visualization layout algorithm and establishes an information visualization model to calculate the interaction experience of information visualization in mechanical design. Firstly, the layout algorithm in visualization is positioned in two-dimensional or three-dimensional space, and the gravitational repulsion is applied to the nodes in the space based on Coulomb’s law. Then the number of nodes of the graph in space is input, and their mutual repulsive forces are calculated in each iteration. Finally, the average entropy of the forces in the space is used, the obtained fusion weights are calculated according to the extreme value nature of entropy, and the results of their calculation are fused into the mechanical design, citing the service robot for visualizing the interactive experience. The experimental results show that the comfortable speed of the user in view 1 is 1.1m/s, 1.0m/s and 0.9m/s for robots with heights of 700mm, 1000mm, and 1600mm, respectively, and the comfortable speed of the user in view 3 is 1.0m/s, 0.9m/s, and 0.9m/s, and the comfortable speed of view 3 is better than that of view 1. It indicates that the test of users’ subjective satisfaction can be added to the information visualization interaction experience of mechanical design, and the information visualization interaction is verified by subjective satisfaction to provide effective comparison data for mechanical visualization interaction.
The Construction of “Party Building + Curriculum Civics” Education Model for Chinese Grassroots Party Organizations in the Context of “Internet+”
Authors: Huang Guodong 
Published: July 2023

Abstract
In order to explore the construction mode and direction of the “Party building + Curriculum Civics” education mode of Chinese grass-roots party organizations under the background of “Internet+”. This paper proposes to use the hash search algorithm as the basis of the “Internet+” technology model. Take the Learning Power APP as an example. Use the hash search algorithm to mine the party building and thinking politics elements in the Learning Power APP from three perspectives and establish the index mining vector. Through the mining analysis of the index vector, we verify the development mode of grass-roots party organizations in the context of “Internet+”. The results showed that the learning initiative of party members and cadres on the Learning Power APP reached 95.5%, and 97.65% of them answered positively that using the Learning Power APP could improve the political knowledge and ideological consciousness of party members and cadres, and the average rates of political knowledge, political participation, political belief, political effectiveness and political responsibility among the five indicators were 80%, 51%, 71%, 55.29%, and 86.29%, respectively. The average rates of political knowledge, political participation, political belief, political efficacy, and political responsibility in the five indicators are 80%, 51%, 71%, 55.29%, and 86.96%, respectively. The results prove that the use of new media technology can help Chinese grassroots Party organizations to carry out a new “Party building + curriculum thinking and government” education model in the context of “Internet+”, which provides a broader vision for the innovation of grassroots Party organizations, and also provides a broader vision for “Internet+”. The “Internet+” background has a new place for all technologies.
Design and application of an intelligent communication platform for aesthetics education for internationalization
Authors: Hao Yuhong 
Published: July 2023

Abstract
With the rapid development of information technology, aesthetics education is changing, and the use of computer technology for teaching has become the new norm in the teaching field. In recent years, many intelligent platforms for aesthetics education have emerged at home and abroad, but most of them are only simple video courses, which can hardly meet the needs of aesthetics education. In order to design an international-oriented intelligent communication platform for aesthetics education, this paper builds an intelligent platform serving aesthetics education based on the relevant technologies of intelligent learning communication and completes performance tests after implementation. On the user side, the average memory consumption of the intelligent platform is 15.6 MB, the average memory occupation rate is only 15.34%, and the average network traffic consumed per operation step is only 7.56 MB. The CPU consumption of the platform is also relatively low. The highest occupation rate is 3.76%, the lowest is 0.81%, and the average is only 2.58%. For the server-side Web test, the average system response time of the intelligent platform is 0.72 seconds, which is a very fast response time. In the concurrency test, the platform still runs smoothly under the full concurrency of 100 concurrency numbers and can respond to most users’ requests within 1 second. The intelligent platform is fully capable of meeting the needs of teachers and students in aesthetics education. The international-oriented intelligent communication platform for aesthetics education designed in this paper can help cultivate students’ aesthetic perception and thinking ability, thus improving their aesthetic literacy in an all-around way.
A Study on the Impact of the Internet+ Era on Korean Film Consumer Culture
Authors: Liu Haimeng , Wang Gang 
Published: July 2023

Abstract
In the late 1990s, the landscape of the Korean film industry underwent a major change as Korean films emerged strongly and swept through Asia and the world with their consumer culture. With the advent of the Internet+ era in the new century, the consumer culture of Korean cinema has changed dramatically. In order to study the impact of the Internet+ era on Korean film consumption culture clearly, this paper analyzes the change in Korean film genres with the Internet trend and the distribution of the Korean film industry in the Internet+ era through Internet information dissemination model and personalized recommendation algorithm. From 2012 to 2021, the main genres of Korean movies changed from romance, drama, and war movies to crime, action, and disaster movies. Among them, the average share of war films reached 11.20%. The average share of disaster films reached 11.11%. The average share of action films is 10.88%. The average share of drama films was 10.97%. In terms of the film industry, the market share of local Korean films has always been able to keep from being surpassed by imported films after surpassing them. 2013 saw the largest gap between imported and local films, with a difference of 19.4 percentage points. In the Internet+ era, audience psychology, consumer demand, and business models have had a profound impact on the consumer culture of Korean films, not only changing the traditional layout of the Korean film market but also allowing film creators to consciously or unconsciously introduce new consumer culture themes in line with the Internet public.
Multi-UAV Aerial Mission Intelligent Assignment Algorithm Based on LightGBM Model
Authors: Wang Yongcheng , Zhang Guohui 
Published: July 2023

Abstract
With the development of UAV technology, UAVs have the advantages of convenience, speed, and small size. However, when faced with a complex task environment, some traditional artificial intelligence algorithms will significantly increase computation time, and the algorithms that perform better in time performance often fail to adapt to the type and number of random tasks to be assigned. In this paper, we combine the Hungarian algorithm with improving the LightGBM model, simulate the implementation in various task scenarios, and verify that the improved LightGBM model completes the intelligent assignment of multiple UAVs without increasing time cost compared to the classical algorithm through comparative analysis. It is shown that the improved LightGBM model has an average time of 26.39s for 10 runs, which is higher than 16.91s for NSGA-II and 14.73s for PESA, but lower than 46.92s for SPEA2 and 50.01s for SPGA2. For a non-real-time assignment system, a better mission intelligence assignment at a certain time cost scheme is more in line with the system’s performance requirements. Therefore, the improved LightGBM model in this paper can obtain better solutions than the other four algorithms in solving the multi-objective multi-UAV task intelligence assignment problem, and the solution set coverage is larger than several other algorithms. This indicates that the algorithm studied in this paper is feasible in solving the multi-objective multi-UAV task intelligence assignment problem, and it also has some reference significance for solving the multi-objective problem and improving the coverage of the multi-objective solution set.
Design and research of news recommendation system based on perceptron model in big data era
Authors: Pan Yan 
Published: July 2023

Abstract
With the continuous development of information technology, we are now in an era of information explosion, and we are also facing the problem of information overload, i.e., it is difficult to find the news that interests us from the huge news sources on the Internet. Based on this problem, this paper proposes a perceptron model-based news recommendation system, which uses the perceptron model to extract news keywords and realize the classification of the news; for user interest preferences, we analyze users’ news browsing preferences by collecting user behavior logs and use a multi-layer perceptron model to aggregate users’ interest features. The perceptron model is compared with traditional recommendation methods in terms of accuracy and recall, and one user is selected from 50 users who have been using the system for three months to analyze their news browsing preferences by single-day, short-term and long-term news data to verify the effectiveness of the perceptron model in aggregating users’ interest features. In terms of accuracy and recall, the accuracy of the perceptron model is higher than that of the traditional method for each news type, improving the accuracy by at least 5%-10%, e.g., 10% for real estate news and 9% for financial news. The recall rate of the perceptron model is improved by more than 6% for all news types except for social and entertainment news types. In terms of user interest preference mining, the whole change process of user browsing preference trend is in line with the human forgetting curve, which verifies that the perceptron model in the system is better used and meets the design requirements. Therefore, the applicability and reliability of the model proposed in this paper for news recommendation systems are verified in terms of accuracy, recall, and user interest preference mining.
Construction of a smart grid load forecasting platform based on clustering algorithm
Authors: Wang Tao , Qiu Longgang , Jiang Guangji , Ping Yuan , Huang Shuai , Zhu Xiaoying 
Published: July 2023

Abstract
With the rapid development of economic levels, the demand for electricity usage in various industrial sectors has continued to rise. In order to adequately meet the growth in demand for electricity usage at each user end within the power system, accurate forecasting of electricity load is required. This paper uses the K-Means algorithm as the basis, combined with the Canopy algorithm, whose simple and efficient advantages can be used as the initial clustering step for demanding clustering algorithms. The PCA algorithm is used to reduce the dimensionality of the residential multidimensional electricity consumption feature set, and after optimization, the feature vector weights are calculated to obtain the appropriate selection to determine the training and testing samples. The improved K-Means algorithm carries out five clustering tests, and its average accuracy is above 97%. The average relative error is then used as an indicator to compare the algorithm with the time series method, curve extrapolation method, and WKNR method for analysis. The average relative error of the smart grid load forecasting method proposed in this paper is 0.87%, while the average relative errors of the other three algorithms are 1.64%, 1.57%, and 0.93%, respectively. The distribution of relative errors falls less than 1% more than the other methods. It can be seen that the improved K-Means algorithm has higher prediction accuracy and also makes the smart grid load testing platform more practical due to its simple implementation principle.
On the Application of Artificial Intelligence in Local Legislation
Authors: Wang Ke 
Published: July 2023

Abstract
The expansion of local legislative authority has prompted the introduction of various local regulations, which have promoted local governance in various places. However, the formulation of local legislation suffers from problems such as singularity and fragmentation, and its informatization has not kept pace with the development of artificial intelligence. In order to study the application of artificial intelligence in local legislation, this paper applies artificial intelligence to the intelligent screening of legislative solicitations and the intelligent review of draft regulations through the study of generative adversarial networks and their optimization models. Facing legislative opinions with large amounts of data and complex text, the text recognition rate of AI reaches 98.24%, the success rate of similar opinion de-duplication is 84.69%, and the success rate of classifying opinions applying to different fields and different legal articles is 79.09%. Artificial intelligence can also filter out 71.13% of invalid opinions. In reviewing draft regulations, the success rate of artificial intelligence in judging whether it conflicts with the higher law is 83.01%, and the success rate of judging whether it conflicts with the same law is 80.64%. Artificial intelligence has a natural advantage in assisting local legislators to deal with a large amount of repetitive paperwork, which can effectively improve the efficiency of local legislation. Using artificial intelligence to assist local legislation can help local legislation make great progress and development to maintain local stability better and promote local development.
The Influence of E-commerce Sites Pops Up Advertisements Over Youngsters
Authors: Balhareth Hamad 
Published: July 2023

Objective: This study explores the influence of pop-up advertisements on youngsters' purchases, focusing on how these ads on webpages determine purchase intent. The purpose of this research is to investigate the effectiveness of pop-up ads in creating awareness, enhancing recall, and ultimately driving impulsive buying behavior among youngsters, who frequently engage with social media and other websites.

Theoretical framework: To achieve the research objectives, a comprehensive theoretical framework is utilized. The framework incorporates theories from consumer behavior, advertising effectiveness, and online marketing. It draws on concepts such as brand awareness, product features, price perception, and impulsive buying behavior to provide a holistic understanding of the influence of pop-up ads on youngsters' purchase intent.

Method: A primary data collection method is employed in this investigation. Surveys are conducted among a targeted sample of youngsters who regularly engage with online platforms. The survey questionnaire is designed to capture their exposure to pop-up ads, their attitudes towards these ads, and their subsequent purchase intent. Additionally, data is collected on the respondents' recall of product information and their impulsive buying tendencies.

Findings: The findings of this study shed light on the impact of pop-up advertisements on youngsters' purchasing behavior. The results indicate that pop-up ads have a significant influence on purchase intent among the target population. The abrupt appearance of pop-up ads on webpages captures the attention of online viewers and creates a sense of urgency, leading to impulsive buying decisions. Furthermore, the continuous exposure to pop-up ads improves the recall of product features, prices, and other parameters, reinforcing the impact on purchase intent.

Research Implications: These findings have important implications for marketers and advertisers aiming to target the younger demographic. Understanding the effectiveness of pop-up ads in creating awareness and driving impulsive buying behavior can inform strategic advertising campaigns and optimize online marketing efforts. Marketers can leverage the potential of pop-up ads to enhance brand recall, increase product visibility, and ultimately drive sales among youngsters.

Originality/value: This study highlights the significance of pop-up advertisements on youngsters' purchase intent. The primary data analysis confirms that pop-up ads on webpages have a strong influence on impulsive buying behavior and enhance the recall of product information. By considering the findings and recommendations of this research, marketers can effectively utilize pop-up ads to engage with the younger demographic and drive their purchasing decisions.
Associations between direct contact with the oil and worsened health indicators after Deepwater Horizon oil spill: Results from Gulf States Population Survey
Authors: Han Bingxue 
Published: July 2023

BACKGROUND
Oil spills were known to affect human health through the exposure of inherent hazardous chemicals. The aim of the study was to examine the associations between direct contact with the oil (DCO) and health indicators among the adult residents in the 25 coastal counties or parishes most directly affected by the Deepwater Horizon oil spill (DHOS) in the Gulf of Mexico.

METHODS
Data were based on the Gulf States Population Survey (GSPS). The GSPS collected survey data from a random sample of households, with the majority of the interviews conducted in the 25 coastal counties or parishes that were most directly affected by the spill. After identifying the confounding variables, associations of DCO with poor quality of life (QoL), poor self-rated health (SRH), psychiatric disorders, asthma, and cardiovascular disease among the adult residents after DHOS were analyzed using logistic regressions.

RESULTS
The mean age of total of 5,167 adult residents at the time of questionnaire completion was 53.93 (SD=16.29) ranging from 18 to 95 years. Controlling for confounding variables, DCO was associated with higher odds of poor mental QoL (adjusted odds ratio [aOR]: 1.284; 95% confidence interval [CI]: 1.045-1.578; _p_=.018), poor SRMH (aOR=1.278; 95%CI: 1.021-1.601; _p_=.033), anxiety (aOR=1.680; 95%CI: 1.395-2.024; _p_<.001), depression (aOR=1.182; 95%CI: 0.977-1.430; _p_=.086), and suicidality (aOR=1.920; 95%CI: 1.411-2.614; _p_<.001) after DHOS.

CONCLUSIONS
In conclusions, the prevalence of co-occurring poor SRHs, co-existing poor QoL, and concurrent psychiatric disorders was high in adult residents after DHOS. Similarly, DCO had association with poor mental QoL, poor SRMH, and psychiatric disorders. The empirical findings of this research presented the managerial implications in the field of environmental health.
Gravity-magnetic appraisal of the southern part of the Cauvery Basin, Eastern Continental Margin of India (ECMI): evidence of a volcanic rifted margin
Authors: Ganguli Shuva Shankha , Pal Sanjit K. 
Published: July 2023

The Cauvery sedimentary basin of India, a part of the Eastern Continental Margin of India (ECMI), has evolved as a consequence of its breakup from East Antarctica in the early Cretaceous. This study covers approximately 10,000 km2 in the southern part of the Cauvery basin. A total of 5,161 gravity-magnetic observations were made in an area bounded by 78°–79°E longitude and 9°–10°N latitude. The gravity anomaly map shows a dominant NE-SW trend with a total relief of 83 mGal from −77 mGal to 6 mGal. The map reveals very prominent NE-SW trending linear gravity high bands and two circular/elliptical gravity lows around Madurai and Ramanathapuram, respectively. The residual gravity map reveals NE-SW trending alternative bands of gravity highs and lows, revealing a ridge-depression structure. The gravity modeling shows the presence of underplated material, which may be related to magmatic activity during the Cretaceous. The magnetic map reveals two prominent E-W trending linear structures, which probably represent the disposition of a shear zone under the Cauvery Basin. Based on the filtered magnetic and gravity map, we have prepared an interpreted basement geology map. The magnetic map and residual gravity map suggest that the basement rock of the basin is crystalline (granite/gneiss) and may not comprise a high-grade metamorphic rock Eastern Ghat Orogeny.