bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ozone Plasma Nanobubble (OPN) Reactor Combined with Coagulation-Flocculation Process: A Promising Technology for Leachate Treatment
Authors: Zahra Habiibatuz , Azzahra Ken , Putri Azizka Inneke , Luvita Veny , Bismo Setijo 
Published: October 2024

According to World Bank data, approximately 2.01 billion tons of urban waste is produced annually, with approximately 33% of waste being improperly managed, leading to concentrated and toxic leachate. This poses a global challenge due to its varied characteristics influenced by climate, landfill age, and waste composition, resulting in groundwater and surface water pollution with severe impacts on human health, ecosystems, and biodiversity, necessitating stringent treatment measures. To address this, a study integrated coagulation-flocculation and advanced oxidation processes (AOPs) using a dielectric barrier discharge (DBD) ozone plasma nanobubble (OPN) reactor to degrade leachate. Gas flow rate, plasma voltage, and gas sources are variated. This research uses O2 or air as a gas source that produces plasma. The leachate is fed into the DBD reactor, so the bubble will burst and produce further ROS. Optimal results were observed after 60 min, with oxygen gas feed reducing total suspended solids (TSS), chemical oxygen demand (COD), and biological oxygen demand (BOD) by 100, 93.93, and 74.12%, respectively, alongside a decrease in pH. This study indicates the promising potential of this technology for leachate treatment and demonstrates the potential for nitrate production using both types of gas feed.
GENERALIZATION OF PELL SEQUENCE AND PELL-LUCAS SEQUENCE, NEW RESULTS AND CIRCULANT MATRICES ASPECTS
Authors: Jafari Petroudi Seyyed Hossein , Pirouz Maryam 
Published: October 2024

Some generalizations of Pell sequence and Pell-Lucas sequence, namely, (k,h)-Pell sequence and (k,h)-Pell-Lucas sequence are considered in this paper. We obtain generating functions, some identities and formulas for the sums of a finite number of terms and consecutive terms, sums of squares of consecutive terms and alternating sums of consecutive terms of these sequences. Then, we obtain the eigenvalues and determinants of particular circulant matrices involving (k,h)-Pell sequence and (k,h)-Pell-Lucas sequence. Finally, we obtain some upper and lower bounds for the spectral norms of these circulant matrices.
Metodologia da problematização e uso do fluxograma descritor na reorganização do processo de trabalho em vigilância sanitária
Authors: Cardoso dos Santos Rodrigo 
Published: October 2024

Introduction: The field of work in Health Surveillance in the Unified Health System (SUS) has undergone considerable strategic reformulations in recent years, marked, above all, by the increase in technological and informational aspects in the routine of the work process. Although they represent advances and potential benefits, different obstacles have been mentioned by the sector’s work teams, which weigh on the training of workers to understand these transformations. Objective: To report the experience of developing a flowchart that describes the work process in health surveillance in a health district in Recife/PE. Method: The problematization methodology was used to guide the preparation and execution of the study. The methodology was carried out through collaborative practice and construction, involving professionals from the health surveillance sector, proposing the situational diagnosis of the work and the demands presented by the teams, associated with the role of the resident health professional as facilitator and driver of operationalization of the action described. Results: The construction and implementation of the descriptor flowchart in the reality of the health surveillance service enabled the reorganization of the work process and alignment between professionals, guided by teamwork in a collaborative and situational way. Conclusions: The proposal presents a pragmatic and pedagogical nature, by using the horizons of observation, action, and intervention directed to the field of work management in health surveillance, in order to seek the resolution of obstacles and critical formative knots that sometimes interfere in the full exercise of programmatic activities of the work field.
Kjell Arne Røviks A Translation Theory of Knowledge Transfer – learning across organizational borders
Authors: Damm Scheuer John 
Published: October 2024

Den norske organisationsforsker og professor i statsvidenskab Kjell Arne Røvik har igennem årene publiceret mange forskningsartikler, lærebøger og forskningsbaserede bøger om organisationsteori indenfor den offentlige sektor. Nogle af hans seneste publikationer fokuserer på organisationsteori for offentlig sektor (Christensen, 2021) og på udvikling af en ”instrumentel” teori om videnoverførsel i organisationer (Røvik, 2016). Herudover har Kjell Arne Røvik igennem mange år forsket intensivt i, hvordan innovative ledelses-, organiserings- og reform-ideer rejser mellem og bliver oversat i organisationer og organisatoriske felter. Med afsæt i bl.a. den skandinaviske neo-institutionelle oversættelsesforskning har han leveret flere væsentlige bidrag til vores forståelse af, hvordan ledelses-, organiserings-og reform-ideer rejser og oversættes i og imellem offentlige såvel som private organisationer (Røvik, 1998) (Røvik, 2007).
Computer-assisted English language teaching: history, current status and future developments
Authors: Yang Wenfei 
Published: October 2024

Abstract
In the digital era, the integration of computers into educational practices, particularly in English language teaching, has progressively become ubiquitous. English language education, a crucial component of contemporary pedagogy, has experienced significant evolution through the implementation of computer-assisted instruction. This study endeavors to delineate the landscape of research hotspots in computer-assisted English teaching by employing knowledge mapping techniques. It further elucidates the methodological framework of keyword co-occurrence mapping. An analytical review of the historical progression, emerging trends, and prior challenges in the domain of computer-assisted English teaching is conducted. Findings indicate that the prominence of terms such as “computer-aided English teaching,” “distance learning,” and “online teaching” initially surged but subsequently declined, with peaks observed in 2000 and 2007, respectively. Conversely, “mobile learning” has shown a consistent upward trajectory, culminating in a peak of 1051 citations in 2018. Historically, computer-assisted English teaching faced engagement challenges, with 72% of students not participating actively in learning. Presently, there is a marked improvement in this domain, with 80.0% of teachers now regularly utilizing computers to facilitate English instruction. The ongoing development of computer-assisted English teaching aims to enhance both the intelligence and efficiency of instructional processes in the future.
A Study of Artificial Intelligence-Assisted Listening Training in College English Teaching
Authors: Wang Wei 
Published: October 2024

Abstract
The rapid development of intelligent technology and its wide application in various industrial fields have caused a big change in the teaching mode of university English listening training. Based on the C/S architecture, this paper establishes an intelligent English teaching listening training system by combining artificial intelligence technology, analyzes the auxiliary role of artificial intelligence technology for listening training, and designs an intelligent English listening training teaching mode based on this system. In order to obtain a diversity of English listening training materials, this paper first utilizes speech signal pre-emphasis, frame-splitting, windowing, and other methods to carry out signal preprocessing and then realizes end-point detection of speech signals through the improved double-threshold algorithm. Based on the characteristics of English speech signals, the Seq2Seq model is optimized by the attention mechanism, and the WaveNet model is introduced to establish a speech synthesis model for listening training. Pre-emphasis can improve the clarity of the speech signal by 50%, and the improved double threshold algorithm improves the recognition effect of speech segment clear tone, and the mean value of speech synthesis MOS score is 4.39. After adopting the intelligent English listening training teaching model, the English listening scores of the students in the observation group increased by 8.21 points compared with those of the control group, and the students who were very uninterested in English listening learning decreased by 20 percentage points. The introduction of artificial intelligence technology can provide students with more diverse English listening training materials, which can help them improve their listening level and learnability.
Research on e-commerce user segmentation and customized marketing strategy based on cluster analysis
Authors: Zhao Yue , Niu Xueyan , Lin Shuning , Su Fang 
Published: October 2024

Abstract
E-commerce user segmentation is the basis for enterprises to accurately formulate marketing strategies and successfully manage their customer base. With the rapid development of e-commerce, this paper improves the traditional K-means clustering algorithm and proposes a SAPK-means algorithm, which effectively excludes the noisy data and isolated points in the dataset and obtains the high-quality initial clustering center. Company A’s e-commerce platform is used to apply the SAPK-means algorithm for customer segmentation, and the results are analyzed in detail before proposing targeted marketing strategies. The customized marketing strategy’s effect is evaluated through sales and platform user satisfaction. Through experimental testing, this paper concludes that the five types of segmented customer groups account for 9.46%, 18.43%, 36.95%, 21.91%, and 13.24% of the total number of samples, respectively, known as the “platinum customer group”, “gold customer group “Platinum customer group”, “Gold customer group”, “Silver customer group”, “Copper customer group” and “Iron customer group”, respectively.
A Study on the Innovation of University English Teaching Mode by Integrating OBE and Mixed Reality Technology
Authors: Liang Yulu 
Published: October 2024

Abstract
The rapid development of virtual reality and augmented reality technology is fueling the popularity of mixed reality technology. Mixed-reality technology is becoming more and more widely used in education. The study combines mixed-reality technology with the OBE education concept and applies it to college English teaching. Human-computer interaction, graphic processing, collision detection, and other technologies construct a university English teaching system based on OBE and mixed reality. Evaluate the teaching quality of this university English teaching mode and explore the teaching effect of this mode using OBE and mixed reality through pre- and post-test comparisons. The overall score for university English teaching quality is 4.459, with a good overall level. The scores of the first-level indicators are ranked from highest to lowest: teaching process (4.682) > teaching design (4.654) > teaching effect (4.375) > teaching impact (4.124). The pre-test sig. The value of the students in the experimental group and the control group was 0.962, and the post-test sig. The value was 0.001. The difference between the pre-test and post-test scores of the experimental group on the dimensions was higher than that of the control group by 4.69, 3.74, 2.70, 2.50, and 13.63 points, respectively. The university’s English teaching model based on OBE and mixed reality has a significant effect on improving students’ English proficiency. The score difference between OBE and Mixed Reality-based university English teaching mode and traditional English teaching mode in terms of the sense of experience ranges from 1.33 to 3.01. In addition to the sense of authenticity, the sense of experience of OBE and Mixed Reality-based university English teaching modes is significantly better than that of traditional English teaching modes.
Research on the method to enhance the transparency of financial transactions by integrating blockchain and smart contracts
Authors: Liu Ziyang 
Published: October 2024

Abstract
Financial transaction transparency has gradually become one of the main directions for the development and construction of the financial transaction market. This paper integrates blockchain and smart contracts and proposes a strategy to improve financial transaction transparency in order to protect transaction data privacy and identify and trace transaction anomalies. The proposed DM-IBBE scheme for smart contract transaction privacy involves choosing different interpolation points based on Lagrange interpolation curves and creating encryption modes that meet the requirements for financial transaction privacy. Based on a graph neural network, the propagation probability of abnormal transactions is calculated from the blockchain network topology using the TAGCN model, and the influence of irrelevant noise pairs is eliminated to realize the identification and traceability of abnormal transactions. Taking the financial transaction platform of City A as the research object and carrying out the practice of financial transaction optimization, the evaluation scores of the first-level indexes of comprehensive government transparency, transaction process transparency, operation result transparency, process service transparency, and operation transparency and guarantee are 76.58, 88.93, 95.42, 89.51, and 88.43, and except for the indexes of comprehensive government transparency, the other indexes are all greater than 80 points. The second-level indicators’ evaluation value increases from the 50–70 score range before financial transactions optimization to the 80–100 score range. The financial transaction platform in City A has significantly improved the transparency of financial transactions.
The Construction of a Multimodal Teaching Content Analysis System for English in Colleges and Universities
Authors: Yang Wenfei 
Published: October 2024

Abstract
Based on multimodal theory, this paper constructs a multimodal content analysis system for college English with the digital model of teaching content, teaching interactive technology, and virtual reality technology as the main functional modules. The digital transformation of teaching content is done through the use of the particle swarm optimization algorithm and Wiki collaboration, and the learning objects in the learning content library are processed and transformed. The main technical aspects of shot detection, key frame determination, feature extraction, and feature matching are improved to establish the interactive function of English teaching videos. The quadratic error measurement algorithm enhances the edge folding algorithm and streamlines the 3D model to realize the virtual teaching simulation function. Students majoring in business English at a university in Kunming, Yunnan Province, China, are used as research objects to carry out the teaching application practice of this paper’s system. The total average English unit scores of the experimental class increased from 68.2 to 72.1 in the pre-test, and the recognition, comprehension, and utilization dimensions of the learning effect were higher than those of the control class by 0.46, 0.66, and 0.51, respectively, which showed a significant difference (P<0.05). The experimental group of subject students also had a better experience using the system in this paper.
Method and practice of microphone array speech source localization based on sound propagation modeling
Authors: Meng Gang , Yang Chao , Guo Hui , Wang Yansong 
Published: October 2024

Abstract
This paper realizes the speech source localization for microphone arrays based on the sound propagation model. According to the actual environment and location of the sound source, this paper divides the sound source into far-field source and near-field source and constructs the far-field sound model and near-field sound model applicable to the microphone array. The TDOA time-delayed localization algorithm is employed to locate the voice source of the microphone array by judging the sound far and near the field. In the localization test, this paper selects microphones to form an array according to the actual needs and preprocesses the sound signal data required for practice. The preprocessing data and sound source localization practice prove that the microphone array speech source localization algorithm used in this paper can effectively estimate the actual position of the sound source, and the absolute error between its estimated sound source position and the actual sound source position is only about 0.3m.
Optimization of Logical Structure and Innovative Practice of Law-Based Evidence Talent Cultivation in the Context of Education-Industry Integration
Authors: Dong Qian 
Published: October 2024

Abstract
The construction of “new liberal arts” and the advent of the era of artificial intelligence are forcing the traditional training mode of legal talents to change in the direction of interdisciplinary, high-quality composite talents who know how to govern society, among which, the legal evidence-based talents are the talents training direction adapted to the future needs and have a noble sense of social responsibility. At present, the cultivation of evidence-based talents is still in the exploratory stage, and in order to use the specific cultivation method, we need to cooperate with high-quality enterprises and practical departments. Practical exploration reveals that, on the one hand, utilizing the technical resources of enterprises can effectively enhance students’ ability to use evidence-based research methods. On the other hand, in cooperation with practical departments, conducting research on the rule of law around real issues and evaluating the implementation effect of policies can well exercise students’ practical ability and deepen their patriotic sentiment of helping people in the world. In addition, this paper also carries out the vectorized representation of legal text based on the N-Gram model, calculates the similarity of legal cases by combining with Word2Vec, and introduces the graph representation learning to establish a similar case law recommendation model, which helps students to find out the similar cases in the massive cases. It is conducive to students’ cultivation of systematic thinking in evidence-based jurisprudence and enhancement of their ability to discriminate similar cases. Through the practice of the course, the initial feasible experience of “five-stage parallel progress” and “three integration of science and reality” on the cultivation of evidence-based law talents has been formed, and the incentives and assessment mechanisms for the cultivation of industry-academia integration need to be further strengthened in the future.
Application of Intelligent Algorithms for Optimal Allocation of Accounting Education Resources in Higher Education Environments
Authors: Huang Yang 
Published: October 2024

Abstract
Inadequate allocation of accounting education resources and uneven spatial distribution are the key issues affecting the high-quality development of accounting education, and the arrival of the era of intelligent technology provides ideas for the rational allocation of higher education resources and transformation and upgrading. This paper constructs a multi-objective planning model for accounting education resource allocation and explores the solution method based on the fuzzy particle swarm algorithm. Population initialization is achieved by combining input-output fuzzification processing and particle swarm optimization search in fuzzy control. Subsequently, the fitness of every particle is assessed. Next, according to the formula of PSO algorithm update iteration, the position and speed are updated, the optimal solution of itself and the optimal solution of the population are updated, and the optimization search is continuously iterated. After the model is put into use the institutions in the western region with low and lower levels of efficiency in the allocation of accounting education resources decreased by 7%, and all the regions with low levels of efficiency have decreased. The number of configuration rounds of this paper’s method is smaller than the number of rounds of configuration conflicts of the PCA method and SVM method, which indicates that this paper’s method has good performance and optimizes the allocation of accounting education resources, making accounting education develop in a balanced way.
Early Supplier Involvement Challenges in New Product Development Projects: a Bibliographic Overview of Lean Production in the Automotive Industry
Authors: Dourado João Paulo , Ferreira Ana Cristina , Silva Rui 
Published: October 2024

Abstract
The research is based on a literature review focused on early supplier involvement in new product development processes while working towards Lean production, especially for the automotive industry, where all actors must be fast and accurate. For practitioners, early supplier involvement is a topic that deserves serious attention since it impacts on decentralisation, promoting gains in quality, quantity, and execution time, as well as cost reduction and/or the acquisition of technical knowledge in developing products and production processes. The authors first introduce the key concepts, issues, and theoretical foundations concerning early supplier involvement challenges and new product development within organisations that affect their core processes and outsourcing strategies when seeking collaboration to develop more sophisticated technologies that a new product requires. The authors critically explore these issues, especially concerning earlier supplier involvement and its connection to the Lean philosophy, pursuing process tunning, considering production quantity, quality, and time, as well as avoiding penalising interruption within the automotive industry. The study provides the first critical review of potential challenges for a successful early supply involvement and, consequently, a successful new product development process decentralisation and the acquisition of technical knowledge in developing products and production processes needed to satisfy customers.