bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Enabling Rural Revitalization: An Innovative Study of Intangible Cultural Heritage in Animation-based Inheritance and Dissemination
Authors: Yang Jiaming , Xu Chenfan
Published: June 2024

With the development of digital technology, the animation of intangible cultural heritage provides a new form of cultural carrier for its transmission and dissemination. The innovative use of animation in intangible cultural heritage is examined in this thesis through the lens of digital empowerment for rural revitalization. After selecting indicators for animating intangible cultural heritage, a questionnaire was designed. Data was collected based on the Kano model to study the audience demand for animating intangible cultural heritage. Then determine the variables affecting the animation of non-heritage culture, construct the structural equation model, validate the model after correlation analysis, and explore the influencing factors of the dissemination of non-heritage culture animation. Finally, user needs are divided into four different attributes, of which animation action design (0.8265) and scene props design (0.7817) have the greatest impact on user satisfaction. In contrast, animation art style design (-0.7483) and folklore (-0.7175) have the greatest impact on user dissatisfaction. Except for cultural context and perceived pleasure, animation information quality, and perceived usefulness, the hypotheses of this paper are all verified (p less than 0.05), and audience satisfaction has the greatest influence on communication behavior among the perceived factors. This paper discusses the animation-based transmission and dissemination of intangible cultural heritage, which has a positive significance in promoting the protection and transmission of intangible cultural heritage.
Research on optimization model of rural e-commerce distribution efficiency and cost under smart logistics framework
Authors: Zhou Dongmei
Published: June 2024

Despite advancements in information technology, rural e-commerce distribution continues to struggle, characterized by inefficient capacity resource allocation and exorbitantly high logistics costs. These challenges severely impede the growth of the rural e-commerce industry and the economic performance of logistics and distribution firms. This study delves into the specific dynamics of rural e-commerce logistics and the prominent issue of the “last kilometer” bottleneck. It constructs a multi-objective planning model aimed at minimizing both distribution costs and time, incorporating constraints such as the load capacity of distribution vehicles, as well as the number and routes of service vehicles. Utilizing the simulated annealing algorithm, this research addresses the shortcomings of genetic algorithms, particularly their tendency to converge on local optima. This enhancement enables the genetic algorithm to effectively identify optimal solutions for distance, cost, and profit within the operational constraints of rural e-commerce distribution. The model’s efficacy was validated and subsequently applied to a case study involving a rural e-commerce enterprise in a county. The findings reveal that the combined genetic algorithm-simulated annealing (GA-SA) approach yields an average optimal solution error of 0.25 and an average solution error of 0.46. Furthermore, the optimized distribution strategy for the four vehicles resulted in total travel distances of 47.46 km, 40.47 km, 28.36 km, and 3.1 km, respectively, culminating in a substantial reduction of 61.29 km compared to the pre-optimization scenario. The reduced iteration count of the algorithms also contributes to enhanced profit outcomes. This research offers valuable insights for rural e-commerce distribution companies seeking to bolster their market competitiveness through upgraded information technology, reasonable resource allocation, cost efficiencies, and enhanced operational effectiveness.
Quantitative analysis of the impact of port economic development on maritime logistics and supply chain efficiency
Authors: Chen Shijie , Wang Zitong , Xiao Guangnian
Published: June 2024

Entering the new century, the role of the ocean as a growth of regional economic development has become more prominent. This study focuses on the quantitative analysis of the impact of port economic development on the efficiency of maritime logistics and supply chain, using the synergy model to analyze multiple ordinal covariates of the port economy and naval logistics supply chain subsystems. And find out the optimal synergy matching degree between port economies and maritime logistics supply chain sub-systems among multiple ordinal covariates. Finally, X port is taken as a research case to demonstrate the coordination relationship between port economic development and the efficiency of the maritime logistics supply chain. The results show that from 2012 to 2023, the synergy value between the economy and the marine logistics supply chain of Port X shows a growing trend, and the level of synergistic development between the two is also increasing year by year. It shows that the synergy model constructed by the research can reflect the degree of synergistic development between the port’s economic development and the maritime logistics supply chain in a more comprehensive way and has general applicability. Meanwhile, the results of the study can provide a theoretical basis for the formulation of port logistics policy and regional economic development planning in the coastal economic zone.
An Exploratory Study of Japanese Language Teaching Models Toward POA Theory
Authors: Ayinuer
Published: June 2024

This study is grounded in the Principles of Accounting (POA) teaching philosophy, which advocates an output-oriented approach and integrates multimedia and network-assisted instruction within physical classroom settings. It examines the effectiveness of a blended teaching model—combining both online and offline elements—in Japanese language courses. This research seeks to address deficiencies in traditional teaching methodologies by offering solutions and insights that could enhance the current pedagogical framework for Japanese language education. During the practical implementation of conversational Japanese teaching, a case experiment was conducted to assess the pedagogical impact. The results demonstrated marked improvements: the pre-and post-test mean differences for vocabulary acquisition, expression, and conversational skills in the first cycle were -6.86, -4.94, and -4.13, respectively. The second cycle showed further enhancement, with differences of -8.01, -5.51, and -5.11, respectively. Statistically significant differences were observed between the performances of classes A and B across both cycles (p < 0.01), indicating the effectiveness of the intervention. Furthermore, there was a notable improvement in the students’ listening skills (p < 0.001). The reception towards the POA blended teaching approach was overwhelmingly positive, with 100% of participants reporting a favorable view. This methodology not only increased student engagement and participation but also significantly enhanced their enjoyment of learning the Japanese language.
The association between the ethical guidance of science and technology in family moral education and the formation of personal values in adolescents
Authors: Hao Xiaoqi
Published: June 2024

The development of adolescents’ thoughts and behaviors will be influenced by the environment, and the family, as an important place for adolescents to grow up, has an outstanding influence on the formation of adolescents’ values. The article first analyzes the connotation of family ideological and moral education and adolescents’ values. It explores the positive contribution of scientific and technological ethical guidance in family ideological and moral education to the formation of adolescents’ values. Primary and secondary school students in W city were selected as the research objects, and a questionnaire was designed to clarify the current development of adolescent personal values; and factor analysis and multiple linear regression model were introduced to explore the influencing factors on the formation of adolescent personal values. The reliability of the survey data was assessed through exploratory factor analysis and validation factor analysis, and the correlation between science and technology ethics in family education and adolescent personal values was examined. The eigenvalue of ethical values is 5.114 and contains 36.65% of the information on adolescents’ values, and the correlation coefficient between parental literacy and ethical values is 0.163. The regression coefficient between parental literacy and the formation of adolescents’ values is 0.429, and the moral guidance of science and technology in family education requires parents to be more literate to help adolescents better establish their values. This will help adolescents develop their values better.
Study on the improvement of measurement accuracy of grid short-circuit parameters based on semi-physical simulation
Authors: He Siyang , Yu Hailin , He Guanglu , Wang Shuai , Pan Fuxiang
Published: June 2024

Short-circuit current calculation is one of the most basic and commonly used calculations in power systems, which is related to the setting of distribution network relay protection, selection of electrical equipment, identification of short-circuit accidents, and so on. This paper establishes the grid structure of grid short-circuit with 220kV substation as the boundary, analyzes the current composition of grid short-circuit, designs the basic method of grid short-circuit current calculation based on the Davignan equivalence model, and calculates its steady-state value. In the calculation of grid short-circuit current parameters, the idea of casting and cutting capacitors is introduced to construct the measurement strategy for short-circuit current capacity parameters. Based on the semi-physical simulation test technology, the semi-physical simulation verification platform of grid short-circuit is established by combining the real-time digital simulation system, and the error between the calculated value of short-circuit current and the simulation measurement value is analyzed by this platform. When the short-circuit capacity parameter is 100MVA, the measurement error is only 1.46% near the extreme load, and the minimum error of short-circuit current and in-ring current obtained by the semi-physical simulation platform can be controlled to 2.45% and 4.11%, respectively, and the range of transient peak coefficient error is in the range of [-1.66%,1.39%]. The application of the semi-physical simulation platform for measuring grid short-circuit parameters has high accuracy and guides optimizing grid configuration.
Research on Cultural Inheritance of Non-Heritage Handicrafts Based on Big Data Analysis
Authors: Li Zhi
Published: June 2024

Non-heritage handicrafts are outstanding achievements and wisdom crystallization jointly created by people of all ethnic groups in long-term life practice, and they are an important expression of the cultural values of the Chinese nation. From the perspective of tourism resources, this paper proposes the coupling path between non-heritage handicraft resources and rural tourism and constructs the planning mode of “non-heritage handicraft tourism”. The evaluation model of the potential of industrialized development of non-heritage handicrafts, which contains 12 factor-level indicators, is constructed by comprehensively applying big data analysis, kernel density analysis, and hierarchical analysis method. The empirical results show that, among the four non-heritage handicrafts, Nixing pottery has the greatest industrialization potential with a high degree of affiliation (0.3621) and a high potential for industrialization and development. The evaluation results have established a scientific and reasonable system for developing or protecting handicrafts for different potential non-heritage craft projects. This can guide the current practice of revitalizing non-heritage crafts in full swing.
A Visitor Experience Perception Method for Hainan Forest Scenic Area Based on Keyword Analysis of Network Comments
Authors: Jingfei Que
Published: June 2024

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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.
Uncovering Differences: A Study on Loyalty in Esports Mobile Apps by Gender
Authors: Amor Jaime SC , Alguacil Mario , Crespo-Hervás Josep , Calabuig Ferran
Published: June 2024

The aim of this research is to assess the existence or absence of differences in brand perceptions of users of an esports mobile app according to gender. In addition, it intends to discover the explanatory capacity of brand variables for the prediction of user loyalty, to understand how these variables influence perceptions according to gender, and to contribute to the creation of strategies more aligned with the interests and needs of each target audience.

The study involved 1,668 users of an esports tournament mobile app. An online questionnaire created for this purpose was used to discover users’ perceptions of brand awareness, corporate image, perceived quality, and loyalty. The data were analyzed by creating structural equation models according to gender.

The study shows the absence of significant gender differences in the values of the brand variables, with higher means in the case of men. In addition, the important role of brand awareness, corporate image and perceived quality in understanding the loyalty of users of an esports app is confirmed for both genders, with differential aspects in the explanatory weight of some variables according to gender.

This study analyses brand perception in mobile sports apps and its relationship to user loyalty, a context that has been little analyzed so far at the brand level. In addition, it does so from a gender perspective, contributing to elimination of existing barriers and stereotypes in the context of esports events by discovering possible differences that allow managers to address each target audience more effectively.
Investigation of the Scale Effects on Roll Motion for The Ship Bettica Using Numerical Simulation
Authors: Phuong Nguyen Thi Ha , Yoshida Naofumi , Taniguchi Tomoki , Katayama Toru
Published: June 2024

In this paper, we focus on analysing scale effects on the roll motion of the Italian ship Bettica using a numerical method. First, the roll decay motion of the ship is simulated at both the model scale and full scale, and the predicted results are compared with experimental data to validate the numerical strategy. The results show that there are scale effects that cause the difference in roll amplitudes between the model and the full-scale ship. To investigate the viscous effects on the roll damping components, forced roll simulations are carried out at the model scale and full scale, and the roll damping components (frictional, wave-making, eddy-making, bilge keel and lift components) are obtained. An analysis of these roll damping components indicates that the frictional component is influenced by scale effects, especially in the case of zero or low forward speed. We also show that the bilge keel component is affected by scale effects when the height of the bilge keels is reduced to a certain value below the boundary layer thickness. The velocity fields around the bilge keels are analysed to better understand the scale effects.
Simulation Tests of a Drive Shaft and Propeller Control Subsystem for a Fast Boat
Authors: Grządziela Andrzej , Hożyń Stanisław
Published: June 2024

This paper presents an analysis of the acceleration of a fast boat using a simulation model. Mathematical equations of ship motion dynamics with two types of propeller capabilities are developed using MATLAB and Simulink as simulation tools. The equations are extended to include the acting thrust, resistance, propeller’s performance curves, and the PID governor curve for the acceleration manoeuvre. The application models the dynamic differential equations representing the vessel dynamics in one degree of freedom. MATLAB code was used to develop the ship acceleration as a multibody system. Modules of hydrodynamic forces, resistance, moments, and propeller performances were implemented to simulate the ship manoeuvring process. A comparison of the results for the boat’s propulsion performance with two different propellers and the characteristics of the PID governor, which controls the fuel dose in the gas turbines, was carried out. We present a summary including a comparative analysis of the results for the boat dynamics with and without the PID governor. The results obtained here confirm significant discrepancies between the results of numerical simulations with and without the PID governor.
Dynamic Modelling and Experimental Analysis of an Offshore Crane Payload Positioning System with a Parallel Cable-Driven Method
Authors: Ren Zhaopeng , Huang Zhe , Zhao Tingqi , Wang Shenghai , Sun Yuqing , Chen Haiquan , Fang Nan
Published: June 2024

The violent swinging motion of a payload imposes significant safety problems for the operation of offshore ship-mounted cranes (offshore cranes). We therefore propose a stable experimental hoisting platform for an offshore crane payload positioning system with a parallel cable-driven method (PP-PCDM), and an adaptive cable-drive anti-swing tension (ACAT) control method based on the PP-PCDM is developed to resolve the problem of swinging of the payload by limiting its spatial position. The PP-PCDM enables synchronous tracking of the movement of the payload when the crane is working. When the payload deviates from a stable state due to an external disturbance, the anti-swing cables are immediately retracted or released based on the feedback signal. The spatial position of the payload is then limited by adjusting the length and tension of the parallel cables until the payload appears stationary from the perspective of the ship’s deck. Operational safety and efficiency is substantially improved, and the proposed PP-PCDM structure and ACAT control method can be applied to a variety of different types of cranes. The results of simulations and physical experiments show that the anti-swing effect exceeds 89.86%. The PP-PCDM enables excellent performance of synchronous tracking and hoisting assistance, and ensures that the rated lifting weight of the offshore crane is not affected.
Numerical Study of the Scale Effect on Flow Around a Propeller Using the CFD Method
Authors: Van-Vu Huynh , Le Tat-Hien , Thien Doan Minh , Tao Tran Van , Ngoc Tu Tran
Published: June 2024

This paper presents an investigation of the scale effect on the flow around a propeller using the CFD method. The differences in the numerical setup and the results obtained for the characteristics of an open water propeller are described and analysed in this paper. Moreover, the paper also highlight and analyse the scale effect on differences in flow around the propeller, such as the pressure fields in the cross section, the distributions of the skin friction coefficient and limiting streamlines on the propeller blade, the vortices in the wake of the propeller, and the velocity fields. The differences in the flow around the propeller are more clearly seen when it works under heavy loading conditions, an important finding that can support designers in improving propeller performance, investigating cavitations, etc. at the full scale. The reference propeller used in this study is the benchmark propeller PPTC VP 1304.
Experimental Validation of an FEM Model Based on Lifting Theory Applied to Propeller Design Software
Authors: Grządziela Andrzej , Kraskowski Marek , Król Przemysław , Szturomski Bogdan , Kiciński Radosław
Published: June 2024

In the process of designing a marine propeller, hydroelasticity effects are neglected in most cases, due to the negligible influence of the blade’s deformation on its hydrodynamic characteristics. However, there are cases where the impact of hydroelasticity is crucial, for example in the case of high skew-back propellers or heavy-loaded composite propellers. Furthermore, the importance of composite propellers is growing due to their wide range of application, for instance in naval ships and unmanned vehicles. Although structural models and two-way fluid-structure interactions are implemented in most commercial CFD solvers, their relevance to the design process is severely limited due to the high computational cost for a single iteration. An effective solution would therefore be to implement a two-way fluid-structure interaction model in the lifting surface software, which is commonly accepted as a design tool due to its relatively low computational time and its applicability to multi-criteria optimisation. This paper presents the results of hydrodynamic analyses of an elastic propeller carried out using in-house software based on the lifting surface flow model, and extended with the FEM model for the blade structure. The results are compared with experimental measurements and computational analyses with the commercial RANS solver STAR-CCM+.
Optimisation of Double Floating Bodies for Small Unmanned Marine Devices Based on a New Hydraulic Flexible WEMP System
Authors: Cong Dongsheng , Ma Kai , Zhang Ruijun , Li Li , Zhang Xu
Published: June 2024

Low-power, small-size, unoccupied devices are often used in the ocean. However, the requirements for long-distance operation and long-term, high-power supplies have always been difficult technical problems to solve. Wave energy can be effectively used to meet the requirements of a high power supply. Based on a comprehensive analysis of the shortcomings of existing wave energy converters, we present an innovative design for a novel hydraulic flexible wave energy mobile power system and its internal structure. The dynamic model is then simplified into a double-float system, with a spring force from a flexible liquid bag on the upper and lower floating bodies. Furthermore, a model is developed to assess the energy efficiency of the double floating body, and the energy supply strategy and the posture of the double-float system are investigated. The hydrodynamic parameters of three typical axisymmetric rotary floating bodies are analysed using AQWA software, and it is found that the hemispheric-bottomed cylinder (HBC) exhibits superior energy efficiency under the same conditions of space, mass, and drainage volume. Its energy efficiency is mainly reflected in its ability to capture the wave frequency and wave width. HBC floaters perform optimally in both respects. The stability of our design is analysed, and a mathematical relationship between the centroid G and the centre O of the HBC model is developed. The stability of the model is then studied. This study provides a theoretical basis for the provision of low-power, compact, unmanned maritime equipment.
Spectral Analysis of Compass Errors Based on Fast Fourier Transform and Reduction Absolute Errors Using a Pass-Band Finite Impulse Response Filter
Authors: Jaskólski Krzysztof , Czaplinski Wojciech , Tomczak Arkadiusz
Published: June 2024

Compass errors can be regarded as a deviation of the vessel from the expected heading. Gyrocompass errors are randomly oscillating in nature, and it is difficult to describe the behaviour of a gyrocompass sufficiently accurately using mathematical relationships. Fibre-optic gyroscopes have no mechanical components, so the variability in their indications has a different nature; the computational processes and inertial sensors used cause certain types of errors. Thus far, compass studies have focused on presenting absolute errors in the time domain. However, compasses exhibit specific characteristics in the frequency domain that affect the amplitude of their deviation. This leads to the issue of identifying the oscillatory spectrum of errors in the operation of such compasses, and how this spectrum is impacted by the dynamic movement of the vessel. We attempt to assess this phenomenon by means of measurements taken on board the training and research vessel M/S NAWIGATOR XXI. The application of a fast Fourier transform allows for calculation of the absolute compass errors in the frequency domain, meaning that the frequency of occurrence of errors can be observed as noise against the background of the useful signal. Our results confirm the value of applying a finite impulse response filter, which is used to filter out noise in the form of absolute compass errors from the useful signal background. The convolution function proposed here considerably extends the possibilities for analysing the signal spectrum in the frequency domain when testing for the accuracy of compass device indications, and enables the elimination of random errors with a low frequency of occurrence..