bluuebunny/crossref_metadata_2025_split huggingface dataset:
A Study of the Aesthetic Application of Machine Learning to Five Education in Classical Music Interpretation
Authors: Liu Lin , Zhao Shuang 
Published: October 2024

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract
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

Abstract

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

Abstract
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.