bluuebunny/crossref_metadata_2025 huggingface dataset:
Research on the Integration of Artificial Intelligence-driven Industrial Economics and Technology Industry Incubation
Authors: Li Junyi
Published: October 2024

The development mode relying on the traditional factor dividend has become unsustainable, and the integration and application of artificial intelligence technology can promote the high-quality development of science and technology industry incubation, and it brings more space for the development of the science and technology industry economy. This paper firstly discusses how artificial intelligence predicts economic trends, optimizes the production process, and automates decision support systems through machine learning models. By analyzing how AI processes large amounts of economic data, identifying market patterns, and evaluating the value of investment projects in future markets, it is able to assess the value of investment projects in future markets. Aiming at the shortcomings of the original K-Means clustering algorithm, the method of determining the initial clustering center and the method of automatically determining the K-value are investigated so as to realize the automatic clustering of industrial economic development data. From the empirical analysis, it can be seen that the regression coefficients of the interaction term Treatit × Yearit in columns (1) and (2) are all significantly positive at the 1% level. The cluster analysis also visualizes both the types and levels of enterprises in the economic development in a more intuitive way, which shows that the AI model can drive the development of the industrial economy and has an irreplaceable position in the process of technology industry incubation.
Study on Japan’s Cybersecurity Strategy and Regional Cybersecurity Construction in the Face of Global Competition
Authors: Tang Zhijian
Published: October 2024

Cybersecurity has emerged as a crucial security concern for countries worldwide, and Japan has made significant strides in this area, providing other countries with valuable lessons from its experience. In the context of global competition, this paper presents Japan’s cybersecurity situation, examines the top-level design of the Japanese government’s cybersecurity strategy, and outlines a three-pronged approach to building regional cybersecurity. Aiming to address the shortcomings of the existing DAEDALUS cyber attack warning system, this paper proposes an unknown attack detection algorithm based on an open-set classification network, which improves the algorithm’s recognition accuracy in the face of unknown attacks through loss function optimization and classifier replacement on the basis of a convolutional neural network’s open-set classification architecture. The experimental results demonstrate that, under various openness conditions, this algorithm optimizes the average F1 value of the three recognition models to 78.47 and enhances the detection accuracy of OCN in unknown attacks across two datasets to 84.94% and 76.53%, respectively. This paper demonstrates the accuracy of the OCN algorithm in recognizing unknown attacks.
Numerical simulation and analysis of microfracture mechanism of magnesium alloy materials
Authors: Yang Yongxin , Wei Baoli , Liu Huazhou , Yang Shaolong , Li Jiang , Qu Chenming , Feng Yashan
Published: October 2024

This paper takes the typical AZ31B magnesium alloy, which is increasingly widely used in engineering, as the research object and aims to study the fracture properties of magnesium alloys and their damage mechanisms under different loading strain rates and loading modes. EBSD, trace method, and other techniques are applied to study the fracture modes at a low strain amplitude of 0.42% and high strain amplitude of 1.746%, to explore and compare the type and number of microcracks at these two strain amplitudes, and to analyze the reasons for the formation of different types of microcracks. The results show that the experimental 0pass and 4pass start to fracture when they are numerically simulated impact loaded at impact velocities of 225m/s and 260m/s, and the larger the value of impact loading, the more complete the fracture occurs. The fatigue fracture occurred at TBs, GBs, and PSBs with a strain amplitude of 1.746% and 0.42%, respectively. The SF of PSBs was mainly distributed in the range of 0.8-1.0, while that of TBs was most distributed in the interval of 0-0.2 and 0.6-0.9. The larger the SF, the more prone to sprouting of microcracks. The smaller the value of m′, the larger the value of Φ, the more likely to promote microcracks sprouting at the grain boundaries.
An Adaptive Learning Path Optimization Model for Advanced English Learners
Authors: Xiao Hua
Published: October 2024

The advent of the big data era has triggered a major change in teaching methods, and personalized learning based on adaptive learning platforms with big data analysis technology has become a new paradigm of education technology. Firstly, the basic information characteristics of learners are described, and the learner characteristic model is constructed with cognitive level, learning style, learning emotion, and learning ability. At the same time, the framework construction of the learning path method is completed based on the knowledge map. On this basis, the adaptive learning path system improved based on a genetic algorithm was used to characterize the higher-order English learners, and then the clustering algorithm was used to analyze the characteristics of the higher-order English learners by clustering analysis. Eight clustering variables were selected to divide the learners into four categories. The first category of the “excellent learners” scored very high in the eight elements, indicating that the learners had a very high score in the adaptive learning path. The first category, “excellent learners”, scored high on all eight elements, indicating that the learners have strong learning abilities in the adaptive learning path. In order to verify the effect of the learning path on students’ academic performance, a pre-and post-test was conducted, and the difference in the mean values reflected that the learning path system has a significant effect on the improvement of performance. The learners’ perception of the system’s usefulness and ease of use resulted in F-values of 9.539 and 5.856, respectively, and the Sig. The values are 0.005 and 0.016, which are less than 0.05, and there is a significant difference. It indicates that the optimized adaptive learning path is highly recommended for use among higher-order English learners.
Exploration of Physical Education Teaching Reform in Colleges and Universities in the Context of Deep Learning
Authors: Zhang Chao , Yu Kaiyang
Published: October 2024

Deep learning is an important path for the digital reform of college sports teaching. In this context, the study is first conducted to acquire sports data in colleges and universities. Openpose technology is used to collect skeletal point coordinate data and process it to construct a human sports model. Then, based on the similarity comparison of sports poses, the generated sports sequences are filled to simulate the real human sports sequences and data, and the DTW algorithm is used to match the sports sequences and data with the features, eliminate the inconsistency between the length of the poses to be matched and the template pose sequences, and then give the scores of the poses to realize the evaluation of the learners’ sports performance. Combining the principles and functions mentioned above, we construct a system for evaluating sports teaching and analyze its application examples. The distribution of the distance between the quaternion-based swing action and the standard swing action is within the range of 0.18~0.25, and the distance between various types of actions and the standard action is not large. The professional scoring was 5.199 points higher than the DTW-based stance score of 90.183 points. In addition, in the experimental group and the control group, there is a significant difference in the analysis of students’ movement skills assessment, P<0.05, indicating that compared with the traditional teaching mode, the deep learning-based physical education teaching system has a strong relevance as well as the ability to provide real-time movement feedback and movement correction for students’ movement practice.
Research on the optimization of emotion expression movement based on cognitive computing in dance creation
Authors: Sun Chao
Published: October 2024

Cognitive computing technology realizes the processing of complex data and problems by simulating the human cognitive way, which is inspiring for the optimization of emotional expression in dance creation. In this paper, we propose a cognitive computing-based model for optimizing dance action emotions, using the improved 3DCNN model for dance action recognition and then CNN-BLSTM based on deep and shallow feature fusion for dance emotion recognition. The experimental results show that the students in the experimental group improved their movement emotion performance by 117% compared with the control group. Their professional level score was 8.42 points higher than that of the control group, the expert assessment score reached 43.98 points, and 82.5% of the students showed interest in dance learning. It shows that the optimization method for expressing dance emotions in this paper has good effects.
A Study of the Aesthetic Application of Machine Learning to Five Education in Classical Music Interpretation
Authors: Liu Lin , Zhao Shuang
Published: October 2024

With the application of machine learning to the teaching of classical music in the context of five education as the research objective, this study first tested the feature extraction performance and classification of classical music with specific classical music data. Secondly, it explored the changes in the three elements of song aesthetics before and after machine learning five-education music teaching in two academic periods and analyzed the teaching effect it had on the task completion time and rhythmic accuracy of the songs. The use of audio analysis software in terms of task completion time, rhythmic accuracy, and pitch accuracy dimensions produces quantitative teaching effect ratings. The results show that the method in this paper obtains ideal classical music classification and feature extraction results and the ratings of the music feature extraction algorithms are in line with the real level of teachers and students. The experimental group and the control group, after teaching music using machine learning, took a similar time to learn the task, but the difference in rhythmic accuracy was large. The highest IOI value of the experimental group is only 0.07439, and the overall average of the group’s satisfaction with the teaching effect has increased by 0.842. This paper’s method is conducive to the development and innovation of music teaching.
A study on the cross-application of fractal geometry and garden design aesthetics
Authors: Xue Yang
Published: October 2024

Currently there is a lack of research on garden design combined with fractal geometry, and most of the research results remain in qualitative analysis and subjective analysis. In this paper, we quantitatively analyze garden design based on fractal geometry to promote the development and innovation of aesthetics in garden design. Based on the reading of literature and other materials, the theory of fractal geometry and its application in the field of garden design are summarized. Based on Gabriel Lame’s design, we constructed the basic unit shape and layout representation using AutoCAD software to realize mathematical modeling design. A good fit of plant fractal dimension was indicated by the coefficient of determination of plant fractal dimension in the study subject garden being 0.9583. Based on the known logN(r) and log(1/r) of 0.1563 and 0.1013, respectively, the value of the fractal dimension of the garden site was derived as 1.54294 by applying the corresponding formula.The regression equation for the contribution of the fractal dimension of each element of the landscape of the mountains and rocks = 0.118-0.0407*Wigwam + 0.277*Wigwam and building combination+0.438*Wigwam and plant combination-0.019*Building+0.306*Building and plant combination-0.022*Plant, and the model R2 is 0.863. This study not only provides reference for future design and quantitative analysis of the antique gardens, but also provides new ideas for the construction of a better human environment and landscaping works.
Research on the Application of Natural Language Processing Technology in English Translation Quality Control
Authors: Yang Lu
Published: October 2024

Machine translation is an important research area in natural language processing. In this paper, we propose an innovative fusion translation model that combines the slicing method and the alignment method and select articles from different domains for experiments to explore the translation effects of the proposed method. The experiments show that the proposed CRF sequence annotation cut-scoring method performs excellently, with F-values of 86.7%, 89.0%, and 87.4% for the three domains of computer science, civil engineering, and medicine, respectively. The hybrid alignment method based on the length and lexical information also performs well, both in terms of correctness and recall and the hybrid alignment method is able to obtain better results than the length or lexical information methods alone. Putting the proposed method into the translation accuracy test, the BLEU score of the cut-and-align fusion translation model is improved to 11.08, while the NIST score is improved to 3.6468, which is a significant improvement in the translation quality of English.
Research on Intelligent Cultivation of College Counselors’ Core Literacy Driven by Big Data
Authors: Wang Xiao
Published: October 2024

The cultivation of counselors’ core literacy under the background of big data networks is the inheritance and development of the traditional core literacy ability based on the development of network technology. This paper focuses on the construction of a scientific and reasonable core literacy evaluation system for college counselors in the core literacy cultivation path. For the factor analysis model under the cluster data component form structure, expressed in the form of a diagonal matrix. After disassembling the covariance matrix and other steps, the parameter estimation of the factor analysis model for cluster data is obtained. Based on this model, a new model compression method is proposed. Using a step-by-step factor analysis algorithm, the parameters of the convolutional layer are added to complete the iteration of the model, and the performance is improved while reducing the training time of the model. The overall fitness situation of the model is examined, and the values of GFI, CFI, IFI, and TLI are 0.9265, 0.9454, 0.9866, and 0.9855, respectively, which are higher than the ideal value of 0.9 for fitness, which indicates that the model is of good quality and has a high degree of fitness. Different counselors have different core literacy structures, and the score range for A3 counselors is between 70 and 90, which is exceptional in political literacy.
Analysis of Implicit Strategy Optimization and Economic Returns of Machine Learning Techniques in Financial Asset Management
Authors: Guo Xiaoxiao
Published: October 2024

This paper formulates and adjusts investment portfolios based on machine learning techniques, adopts the B-L model after combining the GJR-GARCH-M model and the RBF model, combines the subjective view of the investor with the market equilibrium rate of return, and realizes the optimization of the implicit strategy in the management of the financial assets in the process, and finally analyzes the economic returns through the B-L model. The return of the asset portfolio under the improved B-L model is 0.37% higher than that of the market capitalization-weighted asset portfolio. The Improved B-L model’s asset allocation improves economic returns. In terms of cumulative return, the mean cumulative return of the improved B-L model is 50.7%, which is higher than the economic return of the regular B-L model and the equal-weight portfolio strategy.
An updated checklist of the Anthomyiidae (Diptera) of mainland Portugal, with 52 new species to the country
Authors: Andrade Rui , Erkelens Johanna van , Gonçalves Ana
Published: October 2024

The family Anthomyiidae (Diptera) has received very little attention in Portugal and as a consequence the state of knowledge of this group of flies in the country is very insufficient. Until now, only 20 species were known for mainland Portugal, but non-systematic sampling carried out over more than 10 years allowed the discovery of 52 new species for the country, 12 of which are also new to the fauna of the Iberian Peninsula, and three additional species new to mainland Portugal (that had already been reported to the archipelagos of the Azores and Madeira). An updated checklist of the species that are currently known in mainland Portugal is also provided.
Digital Twin-Based Alternate Ego Modeling and Simulation: Eva Herzigová as a 3D MetaHuman Avatar
Authors: Lăzăroiu George , Gedeon Tom , Szpilko Danuta , Halicka Katarzyna
Published: October 2024

Due to Dimension Studios and Unsigned Group, by likeness and movement digitization, the human supermodel Eva Herzigová’s highly realistic metahuman and 3D digital twin lead to perpetual career extension (e.g., on virtual runway shows by catwalk replication or in advertising campaigns by particular pose adoption), including in virtual worlds such as metaverse spaces, by use of extended reality technologies, in terms of virtual clothing, digital hair, skin texture, facial and body expressions, and makeup styling as avatar appearance and persona. In this paper, we show how, by likeness capturing (e.g., signature walk by motion capture shoot for face and body movement tracking) and virtual clothing, Eva Herzigová’s hyperreal 3D avatar (lifelike 3D digital human clone or realistic virtual human) is configured with subsequent restyled hair and make-up, 3D clothing modeling, and extended reality fashion shows on virtual catwalks or campaign shoots. We clarify that photographic reference materials and a sensor-based motion capture suit assisted Metahuman Creator in capturing facial and motion data for Eva Herzigová’s digital avatar, configuring realistic depiction and virtual activations of beauty standards, in addition to digital likeness, signature style, talent representation, and narrations, typifying digital human creation and presence in virtual worlds (e.g., for metaverse-based shoots). We conclude that Eva Herzigová’s hyperrealistic 3D digital human twin and MetaHuman avatar operate as a styled virtual alter ego and versatile personal brand extension by motion capture technologies for immersive virtual fashion shows, live video streams and broadcast, and digital wearable modeling.
Innovation processes: from linear models to artificial intelligence
Authors: Szymanska Elzbieta , Berbel-Pineda Juan Manuel
Published: October 2024

This study aims to map scientific publications, intellectual structure and research trends in the development of innovation process models and to characterise and compare them. Specifically, to identify the innovation process models and their characteristics, comparative analysis of the models, and predict the direction of development. A hybrid method was used, which involved many years of in-depth literature monitoring and comparative analysis based on a set of parameters developed by the authors. The results made it possible to identify and classify 15 various theoretical models of the innovation process (from M1 — linear to M15 with the AI contribution) development through categorisation according to five main features: C1 — complexity, C2 — openness, C3 — the role of technology, C4 — the participation of the market/users, and C5 — the form of presentation. This study identifies, explores, analyses and summarises the main ideas of innovation processes by identifying their models and characterising those specifics that can ensure international standards of excellence. The study provides an objective view of the existing innovation process models and the relevant studies that can guide managers in their decision-making innovation processes. This study is a first attempt at unveiling the evolution of knowledge in the field of existing innovation processes and their characteristics and comparative analysis. The presented models of innovation processes should constitute an indication for practitioners who can choose a model to be used in the economic practice of their organisation.
Determining a Fuzzy Model of Time Buffer Size in Critical Chain Project Management
Authors: Marek-Kołodziej Katarzyna , Łapuńka Iwona
Published: October 2024

Elaborating and applying a new model for estimating the time buffer size of a project programme, which shall guarantee a 90 % probability of timely project execution. The research included source text analysis to provide information on a research gap and the identification of the research problem. The research problem was identified: the time buffer size in a critical path programme does not guarantee a 90 % probability of timely project execution. A new model was then elaborated to estimate the buffer size; it was applied in a technical production preparation project. An additional comparative analysis was performed using the following methods to verify the model more accurately: half of the time total of a path, the sum of squares (SSQ), and the root square error method (RSEM). The application of the fuzzy model to estimate the buffer size in a critical chain programme offers can shorten the total planned project duration. It has a higher probability of timely project execution than other methods for estimating the buffer size. It guarantees a 90 % probability of timely project execution, keeping aggressive task times, which eliminates unwanted situations such as student syndrome, Parkinson’s law, overestimating task duration, and multitasking. Project programming is an inherent part of the project planning stage in project management. Recently, project management has been increasingly developing, which has been confirmed by the article’s source literature analysis. The analysis revealed a research gap in models estimating project buffer size, which might guarantee a 90 % probability of timely project execution. Thus, a fuzzy model for estimating time buffer size in a critical chain was developed, constituting added value to the science of management and quality of production engineering (currently, mechanical engineering). The fuzzy model for estimating time buffer size was applied in one Polish enterprise in a project for a new product’s technical production preparation. The fuzzy model for estimating time buffer size permits the shortening of the duration of tasks to aggressive times, guaranteeing a 90 % probability of project timely execution. The elaborated model for estimating time buffer size may be applied further in practice in projects programmed using the critical chain method.
Model for Assessing Engineering Competencies of Logistics Specialists in Transport Organisations
Authors: Drejeris Rolandas , Katinienė Aušra , Vaičiūtė Kristina , Čiutienė Rūta
Published: October 2024

In today’s dynamic, technology-driven, and diverse world of knowledge society, transport organisations should purposefully analyse and assess their operations since they often have to face problems emerging from the lack of knowledge and competencies of logistics specialists. The engineering competencies of logistics specialists are highly appreciated in transport systems. However, the selection of assessment criteria and determination of its importance is a difficult task for managers in this sector. Thus, it is reasonable to apply the multi-criteria methodologies, such as SAW, AHP, MOORA, and VIKOR, whilst determining the importance of criteria describing the competencies of logistics specialists in a transport organisation. Applying the multi-criteria methods provides prerequisites for an objective, precise, and the least time-consuming way to evaluate the engineering competencies of logistics specialists. The analysis of the results enables the most suitable decisions to utilise the significant potential of logistics specialists. The article examines the problem areas for evaluating the competencies of logistics specialists. The current paper presents the evaluation of logistics specialists’ competencies based on the methodology used to determine the importance of criteria (SAW and AHP methods). Additionally, further recommendations are suggested to effectively manage certain corrections on competencies in transport organisations under investigation.
Optimising picking operations in distribution centres: a simulation and algorithm-based approach for travel distance reduction
Authors: Gamarra Caio Jorge , Sampaio Mauro , Lima Fábio
Published: October 2024

This study examines the pivotal role of the logistics sector in corporations, particularly those with diverse product portfolios. It focuses on the time-intensive “picking” process, driven by various products and material handling requirements for order fulfilment. The research presents a methodology that combines distribution centre modelling for simulation with an optimisation algorithm to enhance operational efficiency. The goal is to determine an optimal route for product retrieval, minimising employee travel distances, using the simulated annealing algorithm. The results showcase a significant 7 % reduction in employee travel distance during collection. This research is relevant to academia and practical applications as it presents an opportunity to reduce operational costs in distribution centres, enhance the efficiency of picking operations, and improve the competitiveness of companies. Furthermore, it contributes to operations research by addressing a complex problem with significant practical implications using a rather unused method to solve this problem of picking operations. The approach is empirically applied in a prominent Brazilian beverage company. This methodology proves valuable for optimising logistics operations in various industrial contexts, highlighting its practical applicability.
Life cycle perspective in design and product development
Authors: Joachimiak-Lechman Katarzyna
Published: October 2024

Eco-design is one of the cornerstones of the modern economy, as reflected in the policies aimed at implementing the principles of design for the environment in the European Union legislation. A life cycle perspective is a feature of eco-design. The study aimed to determine whether and to what extent the selected companies operating in manufacturing sectors consider life cycle perspectives when designing and developing the products they offer. The main research area discussed in the following article focused on the question: What kind of activities related to the idea of life cycle thinking in product policy can be identified in the analysed enterprises? Qualitative research was conducted using the individual in-depth interview method with representatives of selected industries located in Poland. Eight manufacturer groups were invited to participate in the study. Based on the recruitment process, 24 companies were chosen for the interview. Individual in-depth interviews were conducted using Microsoft Teams, following the ICC/ESOMAR Code 2016 standards. Based on the results, most companies that participated in the study considered the life cycle perspective when designing or further developing products. However, their activities varied in scope. The activities of the ten interviewed companies could be regarded as advanced. For six companies, the advanced activities targeted the product’s use phase. Two companies undertook such activities at more than one life cycle stage. The study provides evidence that the surveyed companies are beginning to think beyond operational boundaries and changing their pro-environmental orientation, albeit unimpressively. The paper provides evidence that eco-design requirements are an unquestionable driver for activities from a life cycle perspective. All surveyed manufacturers of energy-powered products are taking measures to reduce energy intensity with less activity, for example, ensuring the durability/reliability of products and finding solutions to facilitate disassembly and recycling.
Career exploration among hospitality workers during the COVID-19 pandemic – insights for future
Authors: Kurian Deepu , Alizadeh Amin , Barhate Bhagyashree
Published: October 2024

The purpose of this paper is to analyse the career exploration trends among hospitality employees during the COVID-19 pandemic, gain insights into the labour shortages, and provide implications for the future of the hospitality industry’s workforce. The pandemic decimated local, national, and international mobility, decimating the hospitality industry. All the hospitality organizations downsized, furloughed and/or reduced the compensation of their employees to keep up with turbulent times. Post-pandemic, the hospitality industry is ready to rehire the employees that were laid off or furloughed during the pandemic. However, the employees have not returned, and the industry is undergoing chronic labour shortages. Using the tenets of the career exploration theory, we collected data from 198 individuals who were/are employed in the hospitality industry about their career exploration tendencies during the pandemic. The results showed heightened levels of career exploration within and outside the hospitality industry; it is imperative that HRD practitioners should respond to the changing needs of hospitality industry employees. The study contributes to the lifespan approach to career exploration by highlighting self-exploration and environmental exploration by hospitality industry employees during the pandemic irrespective of demographic differences.
A comprehensive review of existing corpora and methods for creating annotated corpora for event extraction tasks
Authors: Abdullah Mohd Hafizul Afifi , Aziz Norshakirah , Abdulkadir Said Jadid , Hussain Kashif , Alhussian Hitham , Talpur Noureen
Published: October 2024

Purpose

The purpose of this study is to serve as a comprehensive review of the existing annotated corpora. This review study aims to provide information on the existing annotated corpora for event extraction, which are limited but essential for training and improving the existing event extraction algorithms. In addition to the primary goal of this study, it provides guidelines for preparing an annotated corpus and suggests suitable tools for the annotation task.

Design/methodology/approach

This study employs an analytical approach to examine available corpus that is suitable for event extraction tasks. It offers an in-depth analysis of existing event extraction corpora and provides systematic guidelines for researchers to develop accurate, high-quality corpora. This ensures the reliability of the created corpus and its suitability for training machine learning algorithms.

Findings

Our exploration reveals a scarcity of annotated corpora for event extraction tasks. In particular, the English corpora are mainly focused on the biomedical and general domains. Despite the issue of annotated corpora scarcity, there are several high-quality corpora available and widely used as benchmark datasets. However, access to some of these corpora might be limited owing to closed-access policies or discontinued maintenance after being initially released, rendering them inaccessible owing to broken links. Therefore, this study documents the available corpora for event extraction tasks.

Research limitations

Our study focuses only on well-known corpora available in English and Chinese. Nevertheless, this study places a strong emphasis on the English corpora due to its status as a global lingua franca, making it widely understood compared to other languages.

Practical implications

We genuinely believe that this study provides valuable knowledge that can serve as a guiding framework for preparing and accurately annotating events from text corpora. It provides comprehensive guidelines for researchers to improve the quality of corpus annotations, especially for event extraction tasks across various domains.

Originality/value

This study comprehensively compiled information on the existing annotated corpora for event extraction tasks and provided preparation guidelines.
Synthesis of Periodic Porous Structures on the Surface of Indium Phosphide
Authors: Suchikova Y. , Kovachov S. , Bohdanov I. , Konuhova M. , Popov A. I.
Published: October 2024

The paper demonstrates the possibility of forming specific nanostructures of the “parquet” type of nanowires on the InP surface. The resulting nanostructure is characterised by an ordered transverse and longitudinal relative shift of separate nanowires. A dislocation model is proposed that explains the mechanism of such structure formation. The numerical estimates of the geometric parameters of the nanostructure obtained during theoretical modelling are quite adequate for the experimental results.
Recent Works on Direct-Write Digital Holography
Authors: Bakanas R. , Nikolskij A. , Bulanovs A. , Brotherton-Ratcliffe D.
Published: October 2024

Direct-write digital holographic (DWDH) printing is a highly flexible technique for the generation of photoresist masters, which are required to produce the metallic shims used for the mass production of holograms in the security and packaging industries. Here we describe a new type of holographic feature, which can be combined with any other feature printable using DWDH: full-parallax, full-colour transmission masters containing limited animation. We will also describe a technique to print the fringe pattern of each hogel without using a reference beam. By programming the required fringe calculation algorithm on a graphics card using CUDA, we obtain acceptable calculation times. The advantage of using such direct fringe writing is that once again DWDH allows extra features to be written onto a master and combined with other features to produce a stronger security solution. Finally, we present results concerning the use of hogel image dithering to improve the grey-scale performance of DWDH printers.
Main Stages and Results of the Development of Mobile Space Environment Simulation Facility “Metamorphosis”
Authors: Gutans J. , Mozga N. , Klokovs A. , Glizde N. , Kleinhofs M.
Published: October 2024

This article presents the main stages and results of the project “Mobile Space Environment Testing Equipment Development of “Metamorphosis” Prototype for Transportation Intermodal Traffic”. For successful implementation of the project, the project has been divided into four stages: 1) Design calculations and design documentation for the design elements of the prototype; 2) Prototype software development; 3) Manufacturing of construction details and prototype assembly; 4) Industrial research and prototype testing. The goal of the project is, based on industrial research, to develop a prototype of the Mobile Space Environment Test Facility (MSTF) “Metamorphosis” transported in an intermodal environment, and to achieve the level of scientific and technical readiness of MSTF from TRL2 to TRL4 (by the scale of the European Space Agency (ESA)) for further development of the project. This project is unique and has no comparable analogues, as all existing test facilities are stationary. The project is implemented by Riga Technical University in cooperation with Cryogenic and Vacuum Systems Ltd.
Optimisation of Electrospinning Parameters for High-Strength Oriented Pan Nanofibre Mats
Authors: Sanchaniya J. V. , Rana V. , Vejanand S. R.
Published: October 2024

This study explores the optimisation of electrospinning parameters to enhance the strength and orientation of polyacrylonitrile (PAN) nanofibre mats, which are pivotal in filtration applications and other areas requiring high-strength, uniformly distributed nanofibres. The focus is on the electrospinning process, particularly on a rotating drum collector, which is instrumental in determining the morphology of nanofibres. Key process variables, including the distance between the collector and the syringe, feed rate, applied voltage, and polymer concentration, have been meticulously examined to understand their influence on the physical properties of PAN nanofibres. Our findings indicate that parameters such as voltage, collector-to-syringe distance, and drum rotation speed (RPM) significantly impact the mechanical performance of the nanofibre mats. The optimised electrospinning conditions produced PAN nanofibre mats with tensile strengths ranging from 1.61 MPa to 21.78 MPa, demonstrating a notable improvement in strength due to controlled fluid dynamics and expulsion of polymer solution during the process.
« EN TANT QUE MAMAN » OU « EN TANT QUE CITOYEN » : LA DÉNOTATION DES COMMUNAUTÉS D’APPARTENANCE DANS DES TÉMOIGNAGES POST- ATTENTATS AU PRISME DU GENRE
Authors: CHAGNOUX Marie
Published: October 2024

Par une analyse quanti-quali systématique de la locution conjonctive en tant que dans un corpus de témoignages post-attentats, nous nous proposons d’explorer comment hommes et femmes s’inscrivent dans des communautés d’appartenance distinctes. Si certaines mentions sont également partagées, notamment l’appartenance religieuse, territoriale ou professionnelle, d’autres appartenances diffèrent selon le genre du locuteur. L’exercice du témoignage donne aux individus la possibilité de construire leur place dans l’événement, en lui assignant des représentations affectives intentionnelles, lieu d’élaboration d’identités imbriquées dont l’exploration est féconde. Nous montrerons ainsi que le caractère genré de la narration événementielle d’attentats illustre comment les situations de crise confortent les représentations traditionnelles des rôles.
The Institute of Enhanced Cooperation in European Union Law: Evolution of Legal Regulation
Authors: Voinikov V. V. , Amiraslanov R. R.
Published: October 2024

INTRODUCTION. The article presents the evolution of legal regulation of the institution of enhanced cooperation as a legal form of flexible integration in European Union (EU) law. Flexible integration is a fairly widespread and objectively existing legal phenomenon in the practice of various integration associations. However, it is within the framework of EU law that the concept of enhanced cooperation has received the greatest development and legal regulation. This was largely due to the EU's desire to regularize and subordinate alternative forms of co natural that interstate cooperation within the framework of one or another integration cooperation acquires more and more complex character, and cooperation of the member states of an integration association within the framework of one or another direction of interaction has uneven and heterogeneous character.

 MATERIALS AND METHODS. The methodological basis of the study was traditional general scientific and special methods of cognition of legal phenomena: comparative legal method; method of scientific analysis; formal legal method; method of synthesis of social and legal phenomena.

RESEARCH RESULTS. As a result of the analysis, the main stages of development of prerequisites and reasons for the legal regulation of enhanced cooperation have been identified and the periodization of the development of legal regulation of this institution has been proposed.

 DISCUSSION AND CONCLUSIONS. Within the framework of the proposals on the periodization of the development of legal regulation of the institution of enhanced cooperation the following stages can be distinguished. The first stage can be labeled as “pre-Amsterdam”. This period is characterized by the formation of conceptual foundations of enhanced cooperation as a legal form of flexible integration. Within the framework of the “pre-Amsterdam” period there is an application of some form of flexible integration (Schengen, euro zone, etc.). The conceptualization of enhanced cooperation as a form of flexible integration was the basis for the normative-legal consolidation of this institution in the founding treaties of the EU. The next stage can be called “Amsterdam-Nicean”. Although the institution of enhanced cooperation received different names in the Amsterdam and Nice versions of the establishing treaties, it seems possible to unite this period into one: despite the normative-legal consolidation of enhanced cooperation as a form of flexible integration, the relevant norms of the establishing treaties have not actually received practical application. Finally, the next stage – the “Lisbon” period is characterized by the active ap[1]plication of the norms of the establishing treaties in the EU practice, including judicial.
When and Why the Doctrine of a “Rules-Based International Order” Emerged
Authors: Nefedov B. I.
Published: October 2024

INTRODUCTION. It is no understatement to say that the “rules-based international order” doctrine, as opposed to the “international order based on law”, has emerged as one of the most debated concepts in global politics during in the late ХХ and early ХХI centuries. This concept presents a framework where general rules of conduct for states, though not norms of jus cogens under general international law, are considered legally binding for all states and other participants in international relations. Consequently, it challenges the traditionally recognized supremacy of international law in governing these relations, seeking to erode established practices of international law-making. This doctrine is actively utilized by leading Western powers to substantiate their political positions and accuse strategic competitors of failing to adhere to these “rules” deemed as legally binding. Understanding the essence and origin of this doctrine is crucial in unraveling its significance.

 MATERIALS AND METHODS. The set of used methodological approaches encompass a range of general scientific and specialized methods, including historical analysis, formal logic, synthesis, as well as systemic and comparative legal methods.

RESEARCH RESULTS. The research indicates that the doctrine of a rules-based international order entered international diplomatic discourse in the early 1990s, arising as a consequence of the collapse of the Soviet Union and the emergence of a unipolar world.

DISCUSSION AND CONCLUSIONS. The author reaches the conclusion that in the context of this emerging unipolarity, the United States deemed it appropriate to unilaterally (or at most in conjunction with its closest allies) dictate universally binding rules of conduct in international relations to the global community. The doctrine of a rules-based internation[1]al order provided the necessary scientific justification to validate such a policy. Initially, this doctrine garnered substantial support in international politics but subsequently faced a decline in its proponents, particularly with the shift towards a polycentric world order. While it continues to exist to some extent, the goals for which it was originally conceived have been largely nullified.
Understanding memorable tourism experiences and revisit intention from destination service quality
Authors: Laela Ela
Published: October 2024

This research explores the relationship between destination service quality, memorable tourism experiences, and revisit intention. The population of this study were tourists in Bandung, Jakarta, Malang, Yogyakarta, Lombok, and Bali. A sample of 300 respondents was involved in the study. The method used in this research is a survey with structural equation modeling analysis techniques. The results revealed that destination service quality affects memorable tourism experiences and revisit intention. In addition, a memorable tourism experience affects revisit intention. This study found that memorable tourism experience partially mediates the relationship between destination service quality and revisit intention.
Penelitian ini mengeksplorasi hubungan antara destination service quality, memorable tourism experience, dan revisit intention. Populasi penelitian ini adalah wisatawan Bandung, Jakarta, Malang, Yogyakarta, Lombok, dan Bali. Sampel sebanyak 300 responden dilibatkan dalam penelitian. Metode yang digunakan dalam penelitian ini adalah survei dengan teknik analisis Structural Equation Modeling. Hasil penelitian mengungkap bahwa destination service quality berpengaruh terhadap memorable tourism experience dan revisit intention. Selain itu, memorable tourism experience berpengaruh terhadap revisit intention. Penelitian ini menemukan bahwa memorable tourism experience berperan sebagai mediasi parsial dalam hubungan destination service quality terhadap revisit intention.
Pengaruh kurikulum, kompetensi dosen, dan fasilitas belajar terhadap prestasi akademik mahasiswa
Authors: Sasia Karla Puteri Sabat , Handoyo Sarwo Edy
Published: October 2024

Student academic achievement is an important way to measure the quality of education in college. High academic achievement shows that students successfully the expected academic goals. This study aims to see how the academic achievement of students at XYZ Academy is influenced by the curriculum, faculty competence, and learning facilities. For this study, students were given a questionnaire and then the data was analyzed using double linear regression to find out the relationship between the variables studied. As for the population in this research, it’s a student at one of the vocational colleges in Tangerang Selatan and the sampling technique used or user is using saturated samplings. The results of the research show that the competence of lecturers and facilitations of learning have a positive and significant impact on the academic performance of students.
Prestasi akademik mahasiswa merupakan cara penting untuk mengukur kualitas pendidikan di perguruan tinggi. Prestasi akademik yang tinggi menunjukkan bahwa siswa berhasil mencapai tujuan akademik yang diharapkan. Tujuan dari penelitian ini adalah untuk mengetahui apakah prestasi akademik mahasiswa di Akademi XYZ dipengaruhi oleh kurikulum, kompetensi dosen, dan fasilitas belajar. Adapun populasi dalam penelitian ini adalah mahasiswa disalah satu perguruan tinggi vokasi di Tangerang Selatan dan teknik pengambilan sampel yang dipakai atau digunakan adalah dengan menggunakan teknik sampling jenuh. Untuk penelitian ini, mahasiswa diberikan kuesioner lalu data dianalisis menggunakan regresi linear berganda untuk mengetahui hubungan antara variabel yang diteliti. Hasil penelitian menunjukkan bahwa kompetensi dosen dan fasilitas belajar berdampak positif dan signifikan pada prestasi akademik mahasiswa.