bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Visitor Experience Perception Method for Hainan Forest Scenic Area Based on Keyword Analysis of Network Comments
Authors: Jingfei Que 
Published: June 2024

Abstract
With the rapid development of the Internet, a large number of travelers have posted comments on the experience of tourist attractions on the Internet, but the large number of comments generates a large amount of data, which makes it difficult to understand the experience of tourists. For this reason, this paper improves on the basis of the LSTM keyword analysis algorithm. To obtain the attribute words and viewpoint words of implicit states, a neural network is constructed, and the candidate attribute words are refined. Then, four sentiment rules are refined through the memory space of a deep memory network, according to which the sentiment tendency of keywords is analyzed. Synthesize based on the keyword extraction algorithm and keyword sentiment analysis, and propose an algorithm for analyzing tourists’ experience. Finally, the new algorithm is used to analyze the network comments of the Hainan Forest Scenic Area. The results found that the Hainan Forest Scenic Area, with its beautiful forest scenery, gives tourists a pleasant experience. The word frequency ranking of scenic views is 6.8, which is more forward. The cumulative word frequency of “crowded”, “consumption,” and other related items is only 0.559, which is at a lower level, indicating that the shortcomings of this scenic spot lie in the excessive number of tourists and unstandardized consumption items.
Research on Sports Marketing and Personalized Recommendation Algorithms for Precise Targeting and Promotion Strategies for Target Groups
Authors: Wang Zhenhua 
Published: June 2024

Abstract
This study employs SWOT and PEST analyses to examine the sports market by identifying internal strengths and weaknesses alongside external opportunities and threats. It integrates these findings with contextual environmental factors—political, economic, social, and technological—to strategically plan marketing approaches. The paper further explores the implementation of personalized recommendation algorithms to analyze sports marketing data and customer value trends, establishing dual promotional strategies for products. This entails comprehensive data analysis concerning the accuracy, coverage, and novelty of personalized product recommendations. The empirical results highlight significant growth in China’s sports market, which expanded from 0.74 million participants in 2014 to 133 million in 2023. Notably, in 2023, the per capita economic contribution in Beijing soared to 99,986 yuan, reflecting the burgeoning potential of the sports market in response to economic development. The study identifies robust national policy support as a critical competitive advantage, scoring 13 points. At the same time, the level of competition and external impacts from other domestic and international industries pose significant threats, receiving a threat assessment score of 12. Additionally, it was found that residents of first-tier cities exhibit a stronger preference for sports, suggesting targeted pricing strategies for sports products around 1,000 RMB to align with market dynamics.
Pathways of VR+Music Combination Therapy to Intervene in the Emotions of Patients with Mental Disorders
Authors: Chen Luwen , Zhang Mengni 
Published: June 2024

Abstract
This paper proposes a path strategy for VR+music combination therapy in future development and introduces an emotion recognition model based on EEG signals to address its inability to quantify the therapeutic effect of emotional intervention. EEG signal feature extraction involves extracting the differential entropy of the signal as a feature and smoothing it in a time series using a linear dynamic system. On this basis, the SVN-KNN-based emotion EEG recognition algorithm is further proposed, and the KNN algorithm is weighted and adjusted by using the inter-class sample density, which avoids the interference of the imbalanced distribution of the number of samples on the performance of the classifier and improves the generalization ability of the classification model. In the VR+music combination therapy experiment, the PSD of the theta, alpha, and beta EEG bands of the patients in the observation group was higher than that before the experiment. The difference between the observation group and the control group in the CERQ-C scores after the experiment in the factors of self-blame, contemplation, blaming others, acceptance, and rational analysis was statistically highly significant (P<0.01). The observation group’s treatment adherence rate and intervention satisfaction were both 96.67% and 93.33%, respectively.
Optimization method of soccer sports teaching and training assisted by intelligent technology
Authors: Cui Pengtao , Zhan Chongjiang 
Published: June 2024

Abstract
In this paper, the classical online multi-target tracking algorithms SORT and DeepSORT are improved. Firstly, we reduce the frequency of ID-Switch occurrence by integrating representational information, on which we complete the improvement of SORT to obtain the DeepSORT algorithm. Then, an MF-SORT multi-target tracking algorithm is proposed by using the squared Martens distance instead of the cosine distance of the high-dimensional representational features in DeepSORT to track the similarity between the frame and the detection frame. Subsequently, the algorithm is applied to analyze soccer training videos, and in this way, a soccer teaching and training method is proposed. The results of the teaching experiment show that the average score of the players who receive this method is 2.7 points ahead of the players who receive the traditional method on average. The post-test score of the experimental group is 2.6 points higher than the pre-test score. The players who received the training method were 10.2% more satisfied with their training than the players who did not receive it. It shows that the video analysis method for ball training has good results both in soccer training performance and satisfaction with training.
Research on the mechanism of digital technology to promote the high-quality development of rural tourism
Authors: Xu Linqiang , Zhao Hongyan 
Published: June 2024

Abstract
Along with the arrival of the digital era, promoting the high-quality development of rural tourism with a digital economy has become a new driving force and goal. This study examines the mechanism of digital technology to promote the high-quality development of rural tourism based on the perspective of stakeholders in rural tourism development. After selecting the evaluation indexes of digital technology to promote the high-quality development of rural tourism, the weights of the indexes are determined, and the level of digital technology to promote the high-quality development of rural tourism is measured by using the fuzzy comprehensive evaluation method in a rural tourism site as an example. The driving force factors of digital technology to promote the high-quality development of rural tourism are selected from both internal and external dimensions, and the driving force of digital technology to promote the high-quality development of rural tourism is analyzed by using geographic detectors for divergence and factor detection and interaction detection. The results can be obtained that the overall development of the sample rural tourism sites is located between average and better, with a comprehensive score of 6.842, especially in its cultural digitization and environmental monitoring digitization, with scores greater than 6. Digital technology to promote the high-quality development of rural tourism is subject to the joint effect of a variety of factors. The number of Internet broadband access ports is the core factor, and the factor contribution rates are all above 0.8. The research on effects and driving forces in this paper is of great significance in achieving high-quality development of rural tourism.
Research on Artificial Intelligence Assisted Decision Making System in Higher Level Sports Training
Authors: Zhao Xin 
Published: June 2024

Abstract
From the perspective of process monitoring of sports training, this paper discusses the basic framework and decision-making function system composition for establishing a decision-making system for higher vocational sports training. Integrate students’ sports data to design a real-time monitoring program for sports training intensity, which forms the mapping relationship between physical fitness and exercise intensity. Utilize and improve the Apriori algorithm to create an association rule mining model for the physical fitness of higher vocational students. Propose using the Multi-Agent model to optimize the data information management of the decision-making system and combine it with the RBF neural network algorithm for sports training performance prediction. To analyze the impact of the sports training decision-making system, application examples are introduced. Examine how association rules are implemented in the decision-making system of higher vocational sports training. When the number of frames is 300, the error correction accuracy before and after the improvement of the Apriori algorithm is 79.14% and 94.23%, respectively. The feedback rate of students’ performance information is maintained at about 0.85 with the assistance of the sports training decision-making system improved by the algorithm. The improved sports training decision-making system is more practical.
Analysis of the Impact of Unbalanced Connection of Consumers and Electric Vehicles on Voltage Variation and Voltage Unbalance
Authors: Bešić Jasmina , Bosović Adnan , Musić Mustafa 
Published: June 2024

Abstract
Voltage unbalance and voltage variations are common issues in low voltage distribution networks caused by unbalanced connection of single-phase loads and electric vehicles (EVs) among phases. Part of the real low voltage grid in Bosnia and Herzegovina, in the vicinity of the town of Tešanj, was analysed. The impact on single-phase consumer and single-phase EVs penetration was analysed. The grid was modelled using DIgSILENT PowerFactory software. Three cases of the distribution of consumers by phases were analysed. Each of the three cases is expanded with four scenarios depending on the penetration of EV into the grid. Results showed that none of the twelve scenarios remained within the permissible limits of −10% voltage variation limit of EN 50160 for phase A. Seven of the twelve scenarios exceeded voltage unbalance limits +2% according to EN 50160.
Optimal Capacitor Placement in Real Distribution Network with Reactive Power Support of Distributed Generation
Authors: Ivković Sejo , Bosović Adnan , Musić Mustafa 
Published: June 2024

Abstract
This paper investigates the strategic placement of capacitor banks in the distribution network of Gračanica, with a specific focus on the medium-voltage feeder Grades. The primary objective is to optimize voltage profiles, minimize power losses, and enhance the overall performance of the distribution network. The significance of this research lies in its thorough examination of optimal capacitor placement within the medium-voltage (MV) branch of distribution networks, specifically considering the intricate interplay between capacitor banks and MV branch components, underlining the necessity for informed decisions in the context of distributed generators (DG) integration to enhance overall network performance. The study further investigates the impact of integrating DGs on these objectives on capacitor placement in the MV feeder. Employing the DIgSILENT PowerFactory software tool for modelling the MV feeder and utilizing a genetic algorithm for capacitor placement optimization, the study underscores the robustness of this approach in handling various conditions and seeking optimal solutions. Simulation results demonstrate that strategically placing capacitor banks and integrating DGs can significantly improve the voltage profile and reduce power losses within the distribution system. The findings of this research support 2MVA of concentrated DGs at the middle of the line as the most efficient and most economically beneficial situation on the medium-voltage feeder Grades study case and contribute valuable insights, serving as a reference for future studies on optimal capacitor placement.
Evaluation of the Long-Term Exposure to the Magnetic Fields Generated by Overhead Transmission Lines Using Artificial Neural Networks – A Case Study
Authors: Alihodžić Ajdin , Mujezinović Adnan , Turajlić Emir , Dedović Maja Muftić , Dautbašić Nedis , Turković Irfan 
Published: June 2024

Abstract
The methodology for the evaluation of long-term exposure to the overhead line magnetic field is presented, in this paper. The developed methodology is based on the ambient temperature measurements and phase conductors’ height measurements to find a linear regression model to determine phase conductors’ height changes for different ambient temperatures. Based on the overhead transmission line geometry, and datasets about historical overhead line phase current intensity values and ambient temperatures long-term magnetic field exposure can be determined. For magnetic flux density determination, a method based on artificial neural networks is used. The methodology is applied to the case study of overhead line that connect substations Sarajevo 10 and Sarajevo 20. A period of one year is analyzed and magnetic flux density values are determined. The obtained results indicate that during the analyzed period for significant amounts of time magnetic flux density values surpass the recommended values for long-term exposure.
Exploring how gamification potentially motivates employees - A research in Vietnamese businesses
Authors: Kien Le Trung 
Published: June 2024

Abstract
A recent trend in employee management reveals a new and modern tool for enhancing motivation at work. Gamification is the use of game elements in a non-game environment, not only to create a better experience for users, but also to better administer in that setting. Gamification elements could virtually satisfy employees’ psychological need, hence – according to Self-Determination Theory (SDT), help with employee motivation. The research shows that gamification may be able to positively influence employees’ sense of achievement, work affiliation, and recognition. Further research is needed to clarify and testify this notion.
A Comparative Analysis of Donation Contract in Albanian and Italian Contract Law
Authors: Liçenji Anjeza , Pitaku Vitiana 
Published: June 2024

Abstract
The donation contract, as delineated in the Albanian Civil Code, symbolizes the altruistic and compassionate ethos upon which is founded. Its primary aim is to embody acts of generosity and selflessness, reflecting the donor’s relinquishment of ownership for the benefit of the recipient. The motivation behind entering this legal relationship is rooted in the donor’s desire to enhance the recipient’s assets, a sentiment essential for the contract’s efficacy.
The transition in Albania’s political landscape has brought forth a new legislative ethos, prompting adaptations to legal provisions in alignment with contemporary requirements. As property relations evolve, influenced by political and historical shifts, so too does the donation contract. Addressing the challenges encountered in donation contracts, Albanian legal scholars have sought solutions that align with evolving social dynamics. While current legislation offers broader provisions for donation contracts compared to previous iterations, ambiguities persist. Thus, there’s a recognized need for enhancements and clarifications, achieved through comparative analysis of Albanian and Italian legislation on donations. This comparison aims to elucidate critical yet ambiguous aspects of donation contracts for readers and scholars. One such issue pertains to categorizing donations accurately, determining whether they stem from unilateral acts or real contracts. The Civil Code unequivocally designates donation as a contractual arrangement. Regarding the grounds for revoking donation contracts, Albanian law delineates only two cases wherein donors can revoke donations, in contrast to Italian law, which affords donors this right in numerous circumstances. Italian jurisprudence and the previous Albanian Civil Code, unlike the current one, recognize another ground for revocation: the birth of the donor’s children. This provision aims to safeguard donors who, had they known about impending births at the time of donation, might have reconsidered their decision.
Preliminary investigation and invalidity of investigative actions
Authors: Miha Elsa 
Published: June 2024

Abstract
Time limits for preliminary investigation and it’s duration is part of the right to a regular legal process, provided for by Article 42 of the Constitution of the Republic of Albania.1
The deadline of the preliminary investigation begins from the date that the name of the person whom the criminal offence is attributed to has been written in the register of notification of criminal offence and ends at the moment the investigations are completed with the relevant acts, the end of the investigations, etc. The duration of the preliminary investigations are different, depending on the prosecution, so in the general jurisdiction prosecution, the preliminary investigation period is 3 months and in the special jurisdiction prosecution it is 6 months. Extension of the preliminary investigation can be done periodically every 3 months, with a maximum term of 2 years, by the prosecutor of the concrete case. In addition to this 2-year period, the deadline can be extended by one more year by the General Prosecutor for the prosecutors of the general jurisdiction and by the Head of the Special Prosecution against Organized Crime and Corruption, for the prosecutors of this prosecution.
The goal of the legislator who has set deadlines for the preliminary investigation is not only the completion of the investigation within a reasonable period, but also the legality, validity of all acts and the usefulness of all the evidence obtained during this period of the preliminary investigation. In this way, the legislator has disciplined the preliminary investigation and its validity. Thus, in order for the investigation to be valid, all evidence and procedural acts must be done within this validity period.
But what happens if the investigative actions are carried out after the preliminary investigation period? What about the procedural acts that the prosecutor compiles at the end and beyond the deadline of the preliminary investigation, will they be valid and usable? These and other will be part of the analysis of this article.
Criminal offenses in the field of Cybernetics related to computer - Computer forgery and computer fraud
Authors: Pekmezi Iris , Çukaj Papa Lirime 
Published: June 2024

Abstract
Deliberative polling has emerged as a promising method for promoting democratic reform and citizen engagement in various contexts, however, its potential and limitations in hybrid regimes, where democratic governance is challenged by a mix of democratic and authoritarian features, remain relatively unexplored. This paper focuses on the case of North Macedonia, as a country that has undergone significant political and societal transformation especially in the recent years. Despite efforts to promote democratic reforms, the country continues to face challenges in terms of ensuring democratic governance and citizen participation. In a hybrid regime, like North Macedonia’s, political leaders might not be inclined to value citizens’ input, and the media environment might not be free from influence, which limits access to varied and reliable sources of information. Civil society organizations may also encounter limitations on their operations, and institutional assistance may be insufficient. Additionally, the population’s diversity could make it difficult to reach and build trust with citizens. In this context, deliberative polling represents an opportunity to engage citizens in meaningful political dialogue and institutional reform. This paper examines the potential of deliberative polling as a tool for promoting governance in North Macedonia and highlights the challenges and limitations faced in this process.
Reflection on the entrepreneurship contract in the current market conditions in Albania
Authors: Xibraku Donalb 
Published: June 2024

Abstract
The Entrepreneurship contract is one of the most widespread contracts in the domestic market. It is the most useful contract, for the investors or the entrepreneur which intend to develop their projects. It is a contract which has served for decades as a mechanism of economic development due to the characteristics it carries. In this contract, one party (entrepreneur) is obliged, with its own resources and assuming the risk, to perform an act (job), or to accomplish a work or service while the other party is obliged to accept it against the price specified in the contract. The professional practice of this contract has often been transformed, or modified, approaching its special nature. This paper aims to reveal practices and approaches to legislation through interventions by means of legal and by-laws, which distort the contract, the obligations that hinder the parties, the unavoidable risks that affect the project, and in general all situations that cause legal instability. This manuscript will try to make some proposals, in two aspects. The first aspect has to do with clauses which give more legal certainty to the existing system. Second, it will try to challenge legislators by exposing potential developments that could end standards confrontations or legal ambiguities.
Validation and application of a method for determination of multi-class pesticides in muscle chicken breast fillets using QuEChERS extraction and GC/MS
Authors: Tasic Aleksandra Mihail , Ninković Milan , Pavlović Ivan 
Published: June 2024

Abstract

Introduction
The occurrence of pesticide residues in animal products deserves attention because of the contamination by environmental pollutants and pesticides that may be present in the food that animals are fed. The goal of this work was the validation of a method for detection of residues of multiple classes of pesticide and determination of their residues in chicken breast fillets.

Material and Methods
Gas chromatography with mass spectrometry was used for analysis. A modified quick, easy, cheap, effective, rugged and safe (QuEChERS) method was put into practice for its validation and applied to real samples. The study optimised mass detection and investigated the effect of a freezing step during the preparation of samples. Pesticides were determined in samples from conventional and organic production.

Results
The impact of the matrix effect decreased, with the largest number of pesticides and satisfactory recovery determined by the application of mixed solvent acetonitrile and ethyl acetate for extraction. Detection of pesticide residues was achieved in a linear range between 5 and 50 µg/kg with satisfactory excellent correlation coefficients greater than 0.99. The recovery of all the pesticide residues ranged between 71.2 and 118.80%. The relative standard deviation was from 2.9% to 18.1% for all validated pesticide residues. The limits of quantification were in the range of 3.0–4.9 µg/kg. Out of 56 pesticide residues analysed in real samples, 5 were detected: α endosulfan, cypermethrin, endosulfan sulphate, permethrin and p,p´-dichlorodiphenyltrichloroethane (DDT) and their concentrations ranged from 4.9 to 15.2 µg/kg.

Conclusion
All tested samples were compliant with the evaluation criteria, and detected values of pesticide residues were lower than the maximum residual levels.