bluuebunny/crossref_metadata_2025 huggingface dataset:
A MIDIATIZAÇÃO NO VOLEIBOL FEMININO E A VISIBILIDADE DA MULHER ATLETA
Authors: Braida Frederico , Tavares Marcelo Luís Ribeiro Silva
Published: October 2024

Os esportes são tema de ampla penetração na sociedade, com destaque para o futebol masculino, mas poucos são os estudos sobre a midiatização em esportes, como é o caso do voleibol feminino. O objetivo deste artigo é discutir as repercussões midiáticas para as atletas de voleibol feminino, a partir dos anos 1980, quando essa modalidade ganhou espaço nas notícias. A metodologia adotada para a pesquisa tem, na revisão de literatura, seu principal subsídio para identificar relações de gênero. Verifica-se que a midiatização fortalece o estabelecimento do voleibol feminino no Brasil e gera maior visibilidade para as atletas, em tempos de constante veiculação de novas notícias em tempo real.
Tecnologias digitais no ensino de geometria: Uma revisão sistemática da literatura
Authors: Silva Maria Raiane da , Pazuch Vinícius
Published: October 2024

As tecnologias digitais (TD) no ensino de geometria são um dos temas emergentes em educação matemática. O objetivo deste artigo é apresentar uma revisão sistemática de literatura relacionada à integração de TD no ensino de geometria. Discutem-se duas questões norteadoras: Quais as principais lacunas associadas ao ensino de Geometria? Como as TD podem contribuir com o ensino de Geometria? Para tanto, analisaram-se 30 artigos, selecionados de periódicos nacionais e internacionais. As análises verticais e horizontais destacaram seis aspectos para compreensão de cada artigo. Em relação às lacunas, os resultados apontam desde a falta de versatilidade dos professores diante das TD até a escassez de disciplinas que potencializam o ensino de geometria durante a formação inicial. Entre as vantagens, evidencia-se que as TD permitem abordagens diversificadas e dinâmicas que podem contribuir para o avanço da compreensão conceitual dos objetos geométricos por parte dos estudantes.
The analysis of partial consent implementation effectiveness for terms & conditions on data awareness and data security of social media application users
Authors: Kurniawan Yohannes , Tsany Mufid Hilmy , Kamil Mufti Ikhsan , Alif Nabil , Anwar Norizan
Published: October 2024

Terms and Conditions are always encountered when using social media applications to determine which data can be accessed and what cannot.  However, there are shortcomings in their implementation and communication, often causing users to be unwilling to read them. Therefore, this study aimed to analyze the effectiveness of implementing partial consent in Terms and Conditions concerning user Data Awareness and Data Security in social media. This Paper administered a questionnaire, distributed with a form, to students who use social media to understand their opinions regarding the partial consent concept. This paper analyzed the data using descriptive statistical methods. The results show a positive response from respondents towards implementing the partial consent concept, the users feel the terms and conditions are more effective in increasing user data awareness and security.
The characteristics, challenges, and opportunities of China’s food safety inspection supervision in the distribution sector
Authors: Lu Yan , Wang Gang , Liu Zhirong
Published: October 2024

Concerns about public food safety are comparatively common in the Chinese food distribution industry. A dearth of expertise and scarce resources lead to frequent instances of incapacity and inadequate oversight, which negatively affect stakeholders in the circulation industry. The main challenges to food supervision are the need for more alignment between the technical specifications, comprehensiveness, and continuity of the existing food safety supervision legislation and the real circumstances facing the regulatory agencies. Despite the circulation field’s critical position in food safety regulation, its complex and variable characteristics make it challenging to implement and manage. There exist notable concerns over inadequate food safety standards and supervisory frameworks, vagueness in enforcing rules, and insufficient workforce and technical know-how in food safety supervision. The opportunities for regulating the food business with the government’s focus and attention considerably outweigh the obstacles that lie ahead. The growth of the food business needs to be viewed in the larger framework of the country’s economic development. Professional involvement and collaboration with technical departments can help regulatory bodies tackle non-compliant actions in the market circulation process in a timely way, resulting in a more evidence-based and responsive regulatory approach. Establishing a healthy equilibrium and elucidating the relationship between oversight and the food business will be crucial in the future.
The suitability of skilled talent training in higher vocational colleges based on AI and 5G network connection in the context of educational transformation and upgrading
Authors: He Ling , Hamid Hashima Binti
Published: October 2024

The development of artificial intelligence (AI) and 5G network technology has changed the production and lifestyle of people. AI also has promoted the transformation of talent training mode under the integration of college industry and education. In the context of the current transformation of education, AI and 5G networks are increasingly used in the education industry. This paper optimizes and upgrades the training mode of skilled talents in higher vocational colleges by using its advanced methods and technologies of information display. This means is helpful to analyze and solve a series of objective problems such as the single training form of the current talent training mode. This paper utilizes the principles and laws of industry university research (IUR) collaboration for reference to construct and optimize the talent training mode based on the analysis of the requirements of talent training and the role of each subject in talent training. Then, the ecological talent training environment can be realized. In the analysis of talent training mode under the cooperation of production and education, the correlation coefficients of network construction, environment construction, scientific research funds, scientific research level, and policy support were 0.618, 0.576, 0.493, 0.785, and 0.451, respectively. This showed that the scientific research level had the greatest impact on talent training in the talent training mode of IUR collaboration, while policy support had less impact on talent training compared with other factors. The combination of AI and 5G network technology with the talent training mode of IUR cooperation can effectively analyze the influencing factors and problems of the talent training mode. The hybrid method is of great significance to the talent training strategy and fitting degree.
Policy-driven innovations in fraud prevention: Developing an ARFLGB-XGBoost early warning model to mitigate online romance scams in telecommunication networks
Authors: Chen Guancheng , Du Wenzhuo , Shan Yichen , Wang Anqi , Wang Liping
Published: October 2024

To address the escalating online romance scams within telecom fraud, we developed an Adaptive Random Forest Light Gradient Boosting (ARFLGB)-XGBoost early warning system. Our method involves compiling detailed Online Romance Scams (ORS) incident data into a 24-variable dataset, categorized to analyze feature importance with Random Forest and LightGBM models. An innovative adaptive algorithm, the Adaptive Random Forest Light Gradient Boosting, optimizes these features for integration with XGBoost, enhancing early Online romance scams threat detection. Our model showed significant performance improvements over traditional models, with accuracy gains of 3.9%, a 12.5% increase in precision, recall improvement by 5%, an F1 score increase by 5.6%, and a 5.2% increase in Area Under the Curve (AUC). This research highlights the essential role of advanced fraud detection in preserving communication network integrity, contributing to a stable economy and public safety, with implications for policymakers and industry in advancing secure communication infrastructure.
Kambo tourism village masterplan: Community participation in tourism development
Authors: Fisu Amiruddin Akbar , Lakatupa Gaffar , Hafid Zulham A. , Umar Fitrawan , Fathussalam Andi , Nurjannah Nurjannah , Didiharyono Didiharyono , Pratama Agung Alif , Dahlan Ahmad
Published: October 2024

This study explores the application of the co-design approach in participatory planning for the development of Kambo Tourism Village, located at the intersection of urban and rural areas in Indonesia. By combining the Delphi Consensus Method and Analytic Hierarchy Process (AHP), the study successfully identified and prioritized key aspects in the planning process, with a primary focus on local community participation. The results indicate that the co-design approach is effective in creating a masterplan that not only aligns with the needs and aspirations of the community but also supports the sustainability and inclusiveness of tourism village development. AHP results reveal that local community participation was assigned the highest priority with a weight of 0.35, followed by stakeholder collaboration with a weight of 0.27. Community participation not only contributed to the creation of a well-structured tourism village masterplan but also enhanced human resource quality and strengthened stakeholder collaboration. The impact of this participatory planning process includes increased national recognition for Kambo Village, the village’s success in receiving awards, and local economic growth. Moreover, the study identified a gap between the calculated and expected weights in the AHP process, highlighting the complexity of aligning diverse stakeholder perspectives. These findings offer both practical and theoretical contributions and open opportunities for further research to address the challenges of participatory planning in the context of tourism villages.
The Ultimate Insurance Policy: Autonomous Vehicles and Artificial Intelligence, a Statutory Proposal for a Complicated Product
Authors: Paolino III Anthony
Published: October 2024

First, this paper describes autonomous vehicles (also known as self-driving cars) and artificial intelligence (the software that helps them function). Second, this paper forecasts autonomous vehicles’ relationship with products liability law, since it is a new technology—no current case law exists.1 Third, instead of complex litigation under a risk-utility analysis, this paper proposes a federal preemption of state tort law for autonomous vehicles that mandates car manufacturers to buy liability insurance for their customers, so that when an accident involving an autonomous vehicle occurs, a no fault recovery would be available to those injured by a malfunction under a federal insurance policy.
As it stands today, the design defect test that courts use for products liability is not tailored enough to meet the complex intricacies of autonomous vehicles with artificial intelligence, and a legislative exception should be made. I argue that a no-fault system would be particularly useful for this unique frontier of technology because it would: 1.) ensure the stability and growth of fledgling autonomous vehicle companies, making them avoid the cost and institutional distraction associated with litigation and pay only enumerated damages to injured plaintiffs when an accident happens involving their cars and 2.) guarantee compensation for the injured, regardless of whether artificial intelligence is negligent or legal cause of the accident is difficult to prove.
Transnational Frameworks for Reconciling the Territorial Reach of Online Speech Regulation
Authors: Iafrati Rebecca
Published: October 2024

This paper begins by examining the existing American and European approaches to online speech regulation and, more importantly, the territorial reach of such regulations. Next, I propose that there are fundamentally two ways forward. The first is to regulate online speech through the traditional power structures of sovereignty. In section D.1, I explore this option and conclude that any approach that relies on national or regional sovereignty will cause destabilizing international tension, because the speech regime will be wholly crafted by one jurisdiction and will thus lack legitimacy in the eyes of the excluded party. In section D.2, I explore the second option, an internationally cohesive online speech regime. Here, I examine three means of facilitating international discourse and ultimately propose an approach that draws on two of these options to varying extents. While this is functionally the more challenging approach, it is the only option that offers hope of a globally tolerable framework for online speech regulation.
Humans and Machines: Challenges of Treating a Person Like a Machine
Authors: Jiménez-Gómez Briseida Sofía
Published: October 2024

This article seeks to reflect on the difference between humans and smart machines as they will have more big data to analyze, potentially helping humans make better decisions. However, the interaction with a machine in private spheres may affect how humans relate among themselves. There is a risk that humans will tend to dehumanize themselves as interactions with smart machines are more prevalent. Humans will not only be watched in traditional public spaces, such as on the streets, but also in more intimate contexts by companionship of robots that capture, through multiple sensors and cameras, every detail of a human life. Therefore, it is relevant to examine the education of programmers and developers of artificial intelligence (AI), as a minority is building the future of most of the world’s population. Moreover, the possible consequences of addiction by design of social networks and many applications tend to disconnect humans as they replace human interactions in the real world with online interactions. Traceability of personal information would give power to the corporations and governments that have access to it. A challenge for society may be to regulate the power of these entities, otherwise a social credit score may determine not only individuals’ present circumstances but that of their offspring. AI’s final goal should be to amplify the freedom of people and to help them become more autonomous. AI should be a complement to human activities, but caution should guide when AI replaces human choices as the possibilities of discrimination and permanent disadvantages increases.
The Dichotomy Between Safeguarding Data Privacy and Promoting Individualized Healthcare Using Artificial Intelligence: How Modern Regulations Miss the Mark And New Standards Can Reconcile the Two
Authors: Kameli Mohammad Reza
Published: October 2024

This paper intends to discuss the most crucial factor in the productive development of CDSS and, by extension, individualized healthcare that countries around the world, including the U.S., need to consider: the demand for a constant flow of broad and diverse collections of patient and non-patient data into these systems. The majority of this paper strives to address the legal concerns within existing legal frameworks concerning data privacy and the protection of patients’ medical records. Lastly, this paper provides an outlook on possible solutions that can balance seemingly conflicting pillars of the nascent structure of AI-based healthcare.
Broadcasting Borders: Why Forensic Extraterritorial Electronic Border Searches for Contraband Do Not Require Reasonable Suspicion under the Fourth Amendment
Authors: McClain Rory
Published: October 2024

This Comment will argue that forensic extraterritorial electronic border searches for contraband do not require individualized suspicion. Although forensic electronic border searches for contraband at the U.S. border and ports of entry (e.g., interior airports) may require, at most, reasonable suspicion according to some courts, the further reduced privacy expectations and further magnified government interests involved in extraterritorial border searches dictate that forward-operating border officers merely adhere to the Fourth Amendment requirement of reasonableness with respect to U.S. persons. To support this argument, this Comment will proceed in five parts, first summarizing jurisprudence regarding the border search exception and routine versus non-routine border searches.
Second, it will explore recent case law examining the validity of electronic border searches. Third, this Comment will review the relatively sparse jurisprudence regarding the extraterritorial application of the Fourth Amendment. Fourth, it will argue that electronic border searches within or at traditional U.S. borders require, at most, reasonable suspicion, although the necessary level of suspicion in this sphere is far from resolved. Fifth, this Comment will analyze the necessary level of suspicion for electronic border searches at Preclearance locations in light of jurisprudence regarding the extraterritorial application of the Fourth Amendment. It should be noted that this Comment only focuses on those Fourth Amendment protections to which U.S. persons are entitled and does not address electronic border searches for the purpose of finding general evidence of wrongdoing.
Further, this Comment examines the required level of suspicion for searches of electronic devices in general because, in addition to ensuring that this Comment is more concise and cogent, if no Supreme Court precedent supports distinguishing between electronic devices and other types of property at the border, it is equally baseless—and imposes unnecessary constraints on CBP officers and introduces complexity that is anathema to the border search doctrine—to distinguish between different types of electronic devices.
Access to Justice and the Elderly: A Look at End-Of-Life Care Planning and Law Tech
Authors: Arter Riley L.
Published: October 2024

The access to justice movement has grown immensely in the last century. With an emphasis on equal legal representation for all, the movement has incorporated technology to boost efficiency in providing quality legal services to underserved populations. The need for efficiency does not come as a surprise; the justice gap in the United States is vast. Every year, millions of Americans face significant civil legal problems without assistance from counsel and receive little to no legal advice. What is more troubling is that these Americans often qualify, usually based on income, for some type of civil legal aid, but they do not have access to such services. In particular, Elderly Americans face unique barriers to access to legal services not only based on income, but also on many other factors related to their health and status in American society. One facet of elder law that sees these unique barriers quite frequently is end-of-life care planning. The fields of law and technology must work together to (1) understand these unique barriers to the elderly, (2) develop and implement new technologies to provide civil legal services with flexibility, and (3) support the technology developed and implemented with unique user input.
Extraterritorial Patent Infringement: Gene Editing with CRISPR-Cas Perspective
Authors: Kohli Laura
Published: October 2024

The advent of CRISPR, with all its extraordinary potential, has exposed some seams and uncertainties in how U.S. patent law operates extraterritorially. The CRISPR-Cas system can be used to edit the human genome to correct diseases by way of a gRNA that guides a Cas enzyme to a certain DNA sequence location to make a corrective edit. Despite the presumption against extraterritorial patent protection, if an actor exports a component created in the U.S. that, when combined with other components abroad, will infringe a patented invention, the actor can be liable for infringement under 35 U.S.C. § 271(f). By way of an example, consider a patented invention that relates to a Cas9 protein and a DNA-targeting RNA with specific features (gRNA) to produce a modification of the targeted DNA molecule. If a party supplies a library of specific gRNAs for export to be combined with CRISPR-Cas9 in order to practice a patented invention as a whole, there may be 271(f) liability. Notably, the crux of the puzzle rests on the analysis of what a “component” is in such gene editing inventions. Courts could view Cas effector-encoding amino acid sequences, Cas protein domains, Cas effectors themselves, gRNA-encoding nucleotide sequences, exons, or gRNA molecules themselves as components. In this writing, I propose that sequences that encode the Cas effector proteins and the gRNAs be considered components for 271(f) liability purposes.
Tulip or Gold? How the Securities and Exchange Commission Should Regulate Cryptocurrencies
Authors: Ghadimi Arya
Published: October 2024

This Article, in Part I, provides a background of cryptocurrencies, including Bitcoin, altcoins, and ICOs. It then briefly discusses the excitement around blockchain technology. Part II discusses one mechanism by which the SEC exercises its jurisdiction, the registration requirements, and the exemptions that companies can use to bypass registration. Part III elaborates on the publicly available information regarding whether the SEC has jurisdiction over an ICO or cryptocurrency. This includes the Howey framework, Director Hinman’s speech, the DAO Report, the Munchee order, no-action letters, and the SEC v. Kik summary judgment ruling. In Part IV, this Article synthesizes these materials into a cryptocurrency-specific legal standard to determine whether a cryptocurrency is subject to the SEC’s jurisdiction.38 The benefits of moving away from the Howey framework include that the Howey test will be kept for its intended use as a catchall category and that issuers can more reliably predict whether their cryptocurrency is subject to the SEC’s jurisdiction. Subsequently, in Part V, this Paper addresses two additional considerations: why courts need to view any bright-line rules drawn within the context of this balancing test in light of the purposes of the securities laws, and why Congress may be reluctant to give the market clearer guidance. Finally, in Part VI, it concludes by emphasizing that principled guidance in this area would best achieve the balance of protecting laypeople while allowing companies to innovate.
Why Artificial Intelligence Shouldn’t Be a Patent Inventor
Authors: Nietering Pressley
Published: October 2024

There are numerous problems with permitting AI systems to be inventors for patent purposes. These problems include creating issues with the analogous art requirement, failing to meet the enablement standard, recalibrating who the Person Having Ordinary Skill in the Art is, generating constitutional concerns about incentivizing AI, producing similar incentives to have AIs treated as the authors of copyrighted works, and setting the stage for other non-human entities to have intellectual property rights. These problems need to be answered before AI is allowed to be an inventor on patents. This Article addresses these concerns, then proposes a solution: having the discoverer of the AI’s invention be the “inventor.”
It should be noted that this paper makes a key assumption about AIs. At least a few scholars have thought of AI-inventorship as a spectrum. At one end of the spectrum is the sole inventor working without the benefit of AI. At the other end of the spectrum is AI-solely inventing with no input or direction from humans. In the middle of this vast spectrum is an increasing amount of AI-contribution. This Note examines the end of the spectrum where AI is the primary inventor. The invention process could involve some input or direction from humans, but AI performs the conception step. This is important because conception is often considered the “touchstone of inventorship.” Conception “is the formation in the mind of the inventor, of a definite and permanent idea of the complete and operative invention, as it is hereafter to be applied in practice.” It should be noted that this Note does not address AI-generated claim sets.
Power and Personal Property Law in the Age of Informational Capitalism
Authors: Guihot Michael
Published: October 2024

Platform entities are wresting control and power from populations of users by asserting property rights in the means of production of informational capitalism. The platform entities maintain strict control over (or property in) these means of production through their ability to manipulate an array of private laws such as contract and property laws. This wresting of power from the user to the platform entity has happened largely out of the purview and consciousness of most users. Studying power exposes the mechanisms by which platform entities have achieved their power and the damage that outsized power can cause. This paper takes a novel approach to analyzing this type of power through what Steven Lukes referred to as the third dimension of power. It examines some of the ways that platform entities have been able to accrue enormous social power by manipulating their technologies, their users, and the law in almost imperceptible ways through control and normalization. It investigates the role of the law, and particularly property law in formalizing and authorizing the transfer of property and power to the platform entities that has created vast inequality between platform entities and their users.
Ethical and Legal Implications of Social Media Use in Clinical Trials
Authors: Seach Andrea
Published: October 2024

As social media use connects more people virtually, that increased connection creates opportunities for researchers to expand their reach for clinical trials. Despite these opportunities, social media is not widely used by clinical researchers. Some researchers have begun using it to enhance recruitment, accelerate community consultations, increase follow up retention, and promote dissemination of results. However, because these techniques are new, their effects on cost and efficiency have not been well studied. Researchers were hopeful that the broad reach of social media could improve clinical trial efficiency and lower costs. Early studies suggest that using social media to recruit participants and to disseminate results is less efficient than expected. Moreover, the lack of regulations on social media use gives rise to certain ethical concerns, such as privacy and coercion. Although there are no legal or regulatory requirements for social media use, researchers can look to the well-established Belmont principles of respect for persons, beneficence, and justice for how to best incorporate social media into clinical trials while still maintaining ethics. IRBs are used to uphold these principles, but without mandatory regulations, researchers apply the principles inconsistently. Thus, not all uses of social media in clinical trials are justified, and researchers should contemplate the ethical risks and proposed benefits. However, federal regulations specific to social media are necessary because specific regulations would promote effective and safe use of social media in clinical trials.
Fixing Right-to-Repair Law: Why Efforts to Hold Manufacturers Accountable Are Faltering
Authors: Golubock David Garrison
Published: October 2024

The past year has seen a number of prominent manufacturers face litigation both from consumer classes and from the federal government targeting restrictions on the ability to repair products. At the same time, Congress, as well as legislatures across the country, including Vermont, have introduced legislation that would promote the ability of consumers to repair products. But the "right to repair" movement is already decades old and has already seen waves of legislative proposals introduced in Congress and state legislatures only to wither on the vine. This paper aims to take a hard, fact-based look at the state of the right-to-repair movement today. This paper looks at past failed efforts at reform and examines the reasons for that failure, condenses prior theoretical commentary on the subject into more actionable takeaways, assesses the strength of the current wave of right to repair initiatives and its potential flaws, and compares US efforts with comparable projects overseas.
Personal Jurisdiction Has (Kind of) Been Keeping Up with the Kardashians
Authors: Torikoglu Christopher R.
Published: October 2024

Since its inception, social media has evolved from a platform for fostering personal connections to a lucrative commercial space, catalyzed in part by the famous Kardashian family. This Note explores the legal implications social media influencers have on personal jurisdiction. With social media influencers being able to virtually reach any forum state through social media, courts have been faced with the challenge to apply the traditional personal jurisdiction analysis to these modern digital contacts. Through a careful analysis of precedent involving personal jurisdiction and social media, as well as the seminal Zippo test, this Note evaluates ways in which courts have and have not kept up with the Kardashians.
An empirical study of interactive experience and teaching effect of erhu performance in virtual reality environment
Authors: Wang Luying
Published: October 2024

In today’s extremely rich material civilization, it is necessary to take the initiative to combine the inheritance of the erhu art with modern means, and in this regard, an immersive virtual erhu playing experience multi-channel interactive system is proposed. The multi-channel interactive system for an immersive virtual erhu playing experience is constructed by combining knowledge of erhu playing. The multi-channel interaction function module of this system consists of acoustic feedback, haptic perception, gesture recognition, and line-of-sight tracking interaction, while the virtual playing module contains two parts: dynamic guidance teaching and navigation menu distribution. Based on the research purpose, the system function and teaching effect are verified and analyzed. The results indicate that the system can recognize simple erhu-playing gestures with a recognition rate of 100.00% and can recognize relatively complex gestures with a recognition rate of more than 95.00%, thereby providing users with an enjoyable erhu-playing experience. The three aspects of erhu playing knowledge, rhythm ability, and improvisation ability show a significant difference between the traditional erhu teaching method and the system presented in this paper, with a P-value of less than 0.05. This difference clearly demonstrates the promotion effect of the interactive system on erhu performance teaching.
A Cluster Analysis Study on the Relevance of Innovation Design and Development Influencing Factors in Dehua Ceramics Industry
Authors: Zhao Peng , Shen Lu
Published: October 2024

The emergence of technological innovation in Dehua ceramics has brought new impetus to the spread of ceramic culture. By mining the market characteristics of ceramic technology innovation, we analyze the influencing factors of Dehua’s ceramic innovation development. Based on big data technology, this paper collects data related to the development of the Dehua ceramics industry, and after pre-processing the data, a classical division-based K-means clustering algorithm is used to make a division and explore the innovation characteristics of different Dehua ceramics industries. On this basis, correlation analysis and regression analysis were introduced to explore the influencing factors of innovative design and development in the Dehua ceramic industry. The second and third clusters in the purchase of innovatively designed Dehua ceramics accounted for 100% and 91%, respectively. It shows that the market demand for innovative design in Dehua Ceramics is large. The company type factor is the most critical influence factor for the development of innovative design in Dehua Ceramic Company, which can be changed by changing the type of company to promote the development of innovative design in the industry. The clustering result analysis in this paper accurately reflects the market characteristics of Dehua Ceramics, and the regression analysis accurately reflects the influence factors related to the development of innovative designs in the Dehua Ceramics industry.
The impact of multichannel integration of service quality and customer experience on repurchase intention based on data mining
Authors: Liu Enxi
Published: October 2024

Under the dual factors of the rapid development of network technology and the transformation of consumer behavior, major enterprises have sought innovation and transformation, but most of them do not have a clear idea of effective multi-channel integration. This paper collects the browsing records of new users on the Tmall platform in 2023 as sample data for empirical analysis. The data visualization and analysis of the repurchase rates of different stores, genders, and ages reveal that the repurchase rates of different stores, genders, and ages are different. As far as different genders are concerned, the repurchase rate of women is higher than that of men, and its probability distribution is between 0.06 and 0.1. Based on the S-O-R theory, combined with the multiple regression analysis method, it is found that service quality and customer experience play a positive influence on customers’ repurchase, and for every 1 unit improvement in service quality and customer experience, customers’ repurchase willingness will increase by 0.124 and 0.257 respectively. Perceived value has a moderating effect on service quality and customer experience during the process of influencing customers’ willingness to repurchase. For example, for every 1 unit increase in hedonic value and service quality, hedonic value, and customer experience, the repurchase willingness of customers increases by 0.423 and 0.416, respectively. The research in this paper provides effective technical support for enterprises, stores, and platforms to formulate precise marketing plans, reduce costs, and increase efficiency.
Linear programming analysis of the optimal allocation problem of human resources in engineering projects
Authors: Zhang Huiling , Liu Yuxuan
Published: October 2024

Human resources are the most dynamic and creative factors in the production factors of engineering projects, and human resource allocation is the key link to whether human resources can give full play to their roles. This paper discusses the realization strategy of optimal human resource allocation for engineering projects and designs a human resource optimization allocation scheme for multiple engineering projects based on the key human resource element of the project manager. Firstly, it constructs the engineering project manager competency element index system and engineering project priority evaluation index system and applies a multi-level fuzzy comprehensive evaluation method to evaluate project manager competency and engineering project priority ranking, respectively. Finally, taking an engineering and construction company as an example, using a linear programming model, an empirical study of human resource allocation for engineering projects is conducted. In the human resource allocation scheme of the optimization model constructed in this paper, all 30 project managers are assigned to 10 projects to meet the staffing needs of all projects within the planned construction period, and the total labor cost is 5.897 million yuan, which is smaller than the 6.192 million yuan of the traditional allocation scheme. It shows that the multi-project staffing model proposed in this paper can ensure the project staffing needs while completing the staff allocation with the lowest total labor cost, which is more effective compared with the traditional staffing methods.
Study on Improving the Mechanism for Assessing and Realizing the Value of Forest Ecological Products in Fujian Province
Authors: Tian Jie , Wang Yujue
Published: October 2024

The key to grasping and practicing the important concept of “green mountains are golden mountains” is to internalize the construction of ecological civilization into the operation mechanism of the market economy and to stimulate the endogenous motivation of the whole society to engage in the construction of ecological civilization. The study focuses on the value of forest ecological products in Fujian Province and evaluates these products from four perspectives: support services, regulating services, supply services, and cultural services. Subsequently, we constructed the suitability evaluation index system for the realization mode of forest ecological product value in Fujian Province. We weighted the indexes by combining the entropy value method and the expert scoring method, and evaluated the suitability of the realization mode using the structural equation model. The suitability assessment results show that Zhouning County, Ningde City - ecological compensation > Shunchang County, Nanping City - ecological tenure trading > Changting County, Longyan City - ecological restoration > Jiangle County, Sanming City - ecological industrialization model. The regression estimates of ecological product production potential factor (β=0.221, p<0.001), ecological environment constraints (β=0.145, p<0.05), social environment constraints (β=0.178, p<0.001), and regression estimation of the realization of the value of the ecological products of forests in Fujian Province are significant. The mechanism for integrating synergy and coordination, localization, and differentiation for the realization of sustainable forest ecological product value has been improved.
Research on Design Trends and User Experience of Smart Home Furniture
Authors: Xu Linbo
Published: October 2024

This study primarily focuses on the current state of smart home development and systematically analyzes the future design trend of smart homes from this perspective. The user experience obtained was analyzed using the KANO model to derive the user’s product experience with the smart home. The hierarchical analysis method analyzes and ranks the weights of the resulting user experience hierarchically. The results show that the IoT smart home will have a market size of more than 300 billion yuan in 2023. In 2030, we anticipate that 30.4% of households will consist of just one person. Regardless of the time, safety designs and basic home designs are still essential. Functionality, operability, intelligence, user knowledge, and styling collectively carry a weight of 0.749 and significantly influence the user experience of smart furniture and appliances.
A multi-source data fusion model for traffic flow prediction in smart cities
Authors: Li Xiaoqin , Nie Dalu
Published: October 2024

The emergence of problems such as increased urban traffic and transportation, traffic congestion, and road resource shortages prompted the city to prioritize the construction of intelligent transportation. Intelligent computing technology provides technical support for people’s smooth travel, as well as for the construction and development of the city. The article first delves into the basic theory of support vector machines, outlines a specific process for traffic prediction using these machines, and then suggests a method for preprocessing traffic data. This method primarily involves three steps: data collection, abnormal data elimination, and missing data recovery. Finally, it proposes a traffic flow prediction model that utilizes multi-source data from support vector machines. The experimental results demonstrate a higher degree of consistency between the prediction results and the actual results in the analysis of short-time traffic flow prediction on weekdays and weekends. Furthermore, the traffic flow prediction model based on Support Vector Machine, proposed in this paper, is capable of reliably predicting vehicular traffic flow in various severe weather environments, with a coefficient of parity below 0.018.
Assessing the Market Orientation of Higher Education Institutions in Ireland
Authors: Dwyer Tomás
Published: October 2024

There is a link between market orientation (MO) and higher education institution (HEI) performance. However, conceptualisations of MO in a HEI context are limited in their development. A review of the literature provides a specific higher education conceptualisation. This conceptualisation is utilised to undertake a content analysis of the strategic plans of six HEIs in Ireland. The data can be interpreted as identifying the MO of the HEIs. Furthermore, the MO of different HEI types as well as individual HEIs was determined. This paper provides a conceptual framework to assess the MO of HEIs that can provide guidance on future actions to enhance performance.
Sentimental reflection of global crises: Czech and Ukrainian views on popular events through the prism of internet commentary
Authors: Hordiienko Kateryna , Joukl Zdeněk
Published: October 2024

Social media have become a part of our lives, and their use helps us learn about events and comment on them with certain emotions. The purpose of our study was to determine the most frequent tone (positive, negative, neutral) of comments on impactful emergency and crisis news in the Czech Republic and Ukraine on a specific topic (pandemics, war, natural disaster etc.) using the sentiment analysis method. The methods of the study included a theoretical analysis of literature, social media (Twitter, Telegram), a Python program using: large language models GPT-3.5-Turbo and Twitter-XLM-RoBERTa, processing and interpretation of results (psycholinguistic).
Homecoming: Returning to Italo Calvino’s
Invisible Cities after 50 Years
Authors: Azaryahu Maoz , Foote Kenneth
Published: October 2024

The articles in this special collection are a tribute to Italo Calvino and a work of fiction that has not lost its power to fascinate readers and scholars for over half a century. This special issue draws attention to how this very short work of fiction continues to serve as a source of inspiration for geographers, as well as for scholars all across the humanities and social sciences.
Understanding Agility Unpacking Misconceptions and Embracing a Multi-Layered Approach in Modern Organizations
Authors: Horváth Géza , Módos-Szalai Szilvia , Malatyinszki Szilárd
Published: October 2024

Purpose: This study aims to clarify the concept of agility in organizational contexts, especially in the wake of the Covid-19 pandemic. It seeks to address prevalent misconceptions and misunderstandings about agility, highlighting its multi-layered nature and its role as a comprehensive management and organizational philosophy.
 
Methodology: The research employs a literature review and analysis of current organizational practices to explore how agility is defined and applied. It examines the three distinct layers of agility and investigates how these layers interact with the hierarchical structures of organizations. The study also considers the influence of labor market trends and generational expectations on the adoption of agile practices.
 
Findings: The analysis reveals that agility is often misunderstood and misapplied due to its complex nature and the lack of clear guidelines for implementation. The study identifies three core layers of agility and shows how it functions as both a management strategy and a philosophical approach to organizational change. Additionally, it highlights the increasing pressure from the labor market and the preferences of Generation Z and Generation Alpha as key drivers for adopting agile methodologies.
 
Implications for Theory and Practice: For theory, the study contributes to a deeper understanding of agility by delineating its components and addressing common misconceptions. Practically, it provides organizations with insights on effectively implementing agility, considering both hierarchical and cultural factors. The findings emphasize the need for clear communication and education about agility to overcome misunderstandings and leverage its benefits fully.
 
Originality and Value: This research is original in its comprehensive examination of agility from both theoretical and practical perspectives. It adds value by offering a structured analysis of agility’s components and its impact on organizational practices in the context of evolving labor market demands and generational shifts. This provides a valuable resource for organizations seeking to navigate the complexities of agility in a post-pandemic world.
Preparation of A Map of Potential Areas For the Installation of A Sanitary Landfill in The Porto Murtinho/MS Region
Authors: Corrêa Nelison Ferreira , Paranhos Filho Antonio Conceição , Ribeiro Vinícius de Oliveira , Oliveira Bruna Alves de Souza , Oliveira Junior Elias de , Costa Victor Hugo
Published: October 2024

Objective: The main objective is to prepare a map to identify areas with potential for the installation of a landfill in the region of Porto Murtinho/MS.
 
Theoretical Framework: This study addresses the relevance of the careful selection of locations for the implementation of Sanitary Landfills, with an emphasis on environmental and social aspects, using geotechnologies as fundamental tools for a comprehensive and effective analysis.
 
Method: The mapping was based on the acquisition and processing of geospatial and environmental data. The factors were classified as limiting or not, considering watercourses, areas subject to flooding, roads, land use and occupation, slope, soil and urban proximity. Data integration through map algebra was performed in QGIS software, and WRPLOT View was used for wind analysis.
 
Results and Discussion: The results revealed that the majority of areas with high installation potential are located at a distance of 2 (two) to 5 (five) kilometers from the urban perimeter. The supplementary analysis of Rosa dos Ventos demonstrated that areas located to the east are more suitable for the implementation of sanitary landfills.
 
Research Implications: The multifaceted approach, which includes environmental and operational aspects, makes it possible to identify areas suitable for the implementation of sanitary landfills.
 
Originality/Value: This study demonstrates the relevance of geotechnologies in choosing locations for landfills, where limiting factors exclude unsuitable areas, and non-limiting factors classify the installation potential, being a methodology replicable in other locations for sustainable environmental management.