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1

Kyoya, Shunki, and Kenji Yamanishi. "Summarizing Finite Mixture Model with Overlapping Quantification." Entropy 23, no. 11 (2021): 1503. http://dx.doi.org/10.3390/e23111503.

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Finite mixture models are widely used for modeling and clustering data. When they are used for clustering, they are often interpreted by regarding each component as one cluster. However, this assumption may be invalid when the components overlap. It leads to the issue of analyzing such overlaps to correctly understand the models. The primary purpose of this paper is to establish a theoretical framework for interpreting the overlapping mixture models by estimating how they overlap, using measures of information such as entropy and mutual information. This is achieved by merging components to re
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Gong, Yan, and Hua Li. "A Review of Achievement Goal Theory." International Research in Higher Education 9, no. 2 (2024): 14. https://doi.org/10.5430/irhe.v9n2p14.

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This article provides an overview of achievement goal theory, detailing its structure and summarizing empirical research on the relationships between achievement goals and motivation, emotion, cognition, and behavior. Furthermore, it examines the multiple achievement goal model and proposes directions for future research in this field.
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de Rooij, Mark, and Carolyn J. Anderson. "Visualizing, Summarizing, and Comparing Odds Ratio Structures." Methodology 3, no. 4 (2007): 139–48. http://dx.doi.org/10.1027/1614-2241.3.4.139.

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Abstract. The odds ratio is one of the main measures of association in 2 × 2 tables. For larger tables, summary measures of association have been proposed as well as modeling strategies, where the odds ratios can be deduced from the parameters of a model. We propose a computationally simple scaling methodology, which gives a summary measure of association and a visualization of the odds ratio structure. Different variants of the methodology are discussed and compared, both theoretically and empirically. The methodology is also generalized to multiple tables, where not only the structure of eac
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BUNESCU, Ionut, Stefan BOGOS, Teodor-Viorel CHELARU, Mihai-Vladut HOTHAZIE, and Mihai-Victor PRICOP. "Coherent solutions to roll damping derivatives evaluation for a generic rocket model." INCAS BULLETIN 15, no. 3 (2023): 19–30. http://dx.doi.org/10.13111/2066-8201.2023.15.3.2.

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This paper presents a coherent approach to evaluate the roll damping derivatives for the standard Basic Finner Model. The study compares and analyses the results obtained through a range of techniques, including experimental testing, numerical simulations and semi-empirical models. The study aims to evaluate the reliability and accuracy of these methods and to identify the factors that contribute to their sensitivity. The paper concludes by summarizing the findings of the study and discussing the implications of the results for the design and operation of rockets. The experimental and numerica
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Wang, Rong. "Feasibility Study of Collaborative Education Model in Higher Education under the Background of “Internet+”." Frontiers in Education Technology 7, no. 1 (2023): p1. http://dx.doi.org/10.22158/fet.v7n1p1.

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This study investigates the application of the collaborative education model in higher education within the “Internet+” context. It examines how rapid advancements in information technology have reshaped higher education, fostering the collaborative education model. The study combines literature review and empirical research to analyze the model’s core elements, implementation strategies, and impact on higher education. It delves into the transformations in teaching, learning, and management due to “Internet+”, and defines the collaborative education model’s concept, principles, and significan
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Jiang, He, Najam Nazar, Jingxuan Zhang, Tao Zhang, and Zhilei Ren. "PRST: A PageRank-Based Summarization Technique for Summarizing Bug Reports with Duplicates." International Journal of Software Engineering and Knowledge Engineering 27, no. 06 (2017): 869–96. http://dx.doi.org/10.1142/s0218194017500322.

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During software maintenance, bug reports are widely employed to improve the software project’s quality. A developer often refers to stowed bug reports in a repository for bug resolution. However, this reference process often requires a developer to pursue a substantial amount of textual information in bug reports which is lengthy and tedious. Automatic summarization of bug reports is one way to overcome this problem. Both supervised and unsupervised methods are effectively proposed for the automatic summary generation of bug reports. However, existing methods disregard the significance of dupl
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Masten, Matthew A., and Alexandre Poirier. "Salvaging Falsified Instrumental Variable Models." Econometrica 89, no. 3 (2021): 1449–69. http://dx.doi.org/10.3982/ecta17969.

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What should researchers do when their baseline model is falsified? We recommend reporting the set of parameters that are consistent with minimally nonfalsified models. We call this the falsification adaptive set (FAS). This set generalizes the standard baseline estimand to account for possible falsification. Importantly, it does not require the researcher to select or calibrate sensitivity parameters. In the classical linear IV model with multiple instruments, we show that the FAS has a simple closed‐form expression that only depends on a few 2SLS coefficients. We apply our results to an empir
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Xia, Chunlian, and Jing Huang. "Construction of Inflation Forecasting Model Based on Ensemble Empirical Mode Decomposition and Bayesian Model." Journal of Sensors 2022 (July 14, 2022): 1–10. http://dx.doi.org/10.1155/2022/8275259.

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The high explanatory power of the first-order lag term of inflation in the inflation explanatory factor is that, on the one hand, the calculation of annual inflation indicators makes the inflation values of adjacent months cover the high correlation caused by the common price increase, and on the other hand, it also shows that people’s perception of inflation is high. Some adaptability is expected. Although there are many Bayesian models available, due to the limitation of high-dimensional characteristics of the economy, most of the current inflation forecasting researches focus on a variety o
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Buntine, W. L. "Operations for Learning with Graphical Models." Journal of Artificial Intelligence Research 2 (December 1, 1994): 159–225. http://dx.doi.org/10.1613/jair.62.

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This paper is a multidisciplinary review of empirical, statistical learning from a graphical model perspective. Well-known examples of graphical models include Bayesian networks, directed graphs representing a Markov chain, and undirected networks representing a Markov field. These graphical models are extended to model data analysis and empirical learning using the notation of plates. Graphical operations for simplifying and manipulating a problem are provided including decomposition, differentiation, andthe manipulation of probability models from the exponential family. Two standard algorith
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Yu, Zhonggen, and Qin Zhu. "Schema Theory-Based Flipped Classroom Model Assisted With Technologies." International Journal of Information and Communication Technology Education 15, no. 2 (2019): 31–48. http://dx.doi.org/10.4018/ijicte.2019040103.

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The flipped model assisted with technologies has an edge over the non-flipped model. Through collecting, generalizing, systemizing, and summarizing around 70 publications from SSCI, A&HCI, and EI Compendex databases, it was concluded that the flipped approach could assimilate and adapt learners' schemata before class. In class, the pre-class schemata activation and construction have laid a solid foundation for students' in-class learning activities. Students could achieve successful schemata modification and reconstruction with the assistance of both their partners and teachers through col
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Wang, Keyao. "Optimizing traffic light signal timing using a yellow interval model: Methodology and empirical evaluation." Applied and Computational Engineering 33, no. 1 (2024): 80–87. http://dx.doi.org/10.54254/2755-2721/33/20230237.

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All over the world, especially in urban areas, the growing population and prosperity of the car industry have resulted in a steady increment in vehicles on the road, leading that already-built car-transportation infrastructure can not be commensurate with the traffic demand. Consequently, this will cause traffic congestion and thus a higher rate of traffic accidence. In such circumstances, the ability of traffic management becomes indispensable and crucial to ameliorate or even solve this problem. Although various advanced approaches can provide effective traffic management, the cost can be pr
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Wang, Xin, Zhengru Wang, Zhenyu Wu, Shuhao Zhang, Xuanhua Shi, and Li Lu. "Data Stream Clustering: An In-depth Empirical Study." Proceedings of the ACM on Management of Data 1, no. 2 (2023): 1–26. http://dx.doi.org/10.1145/3589307.

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Data Stream Clustering (DSC) plays an important role in mining continuous and unlabeled data streams in real-world applications. Over the last decades, numerous DSC algorithms have been proposed with promising clustering accuracy and efficiency. Despite the significant differences among existing DSC algorithms, they are commonly built around four key design aspects: summarizing data structure, window model, outlier detection mechanism, and offline refinement strategy. However, there is a lack of empirical studies on these key design aspects in the same codebase using real-world workloads with
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Balduzzi, Pierluigi, and Fabio Moneta. "Economic Risk Premia in the Fixed-Income Markets: The Intraday Evidence." Journal of Financial and Quantitative Analysis 52, no. 5 (2017): 1927–50. http://dx.doi.org/10.1017/s0022109017000631.

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We use high-frequency data to precisely estimate bond price reactions to macroeconomic announcements and the associated compensation for macro risks. We find evidence of a single factor summarizing the reaction of bond prices to different announcements. Before the financial crisis, the factor risk premium is substantial, significant, and mainly earned before announcement releases. After the crisis, the stock–bond covariance becomes negative and the preannouncement factor risk premium becomes insignificant. Our empirical results are consistent with information leakages that take place ahead of
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Mulvey, Laura P. A., Mark C. Nikolic, Bethany J. Allen, Tracy A. Heath, and Rachel C. M. Warnock. "From fossils to phylogenies: exploring the integration of paleontological data into Bayesian phylogenetic inference." Paleobiology 51, no. 1 (2025): 214–36. https://doi.org/10.1017/pab.2024.47.

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AbstractIncorporating paleontological data into phylogenetic inference can greatly enrich our understanding of evolutionary relationships by providing insights into the diversity and morphological evolution of a clade over geological timescales. Phylogenetic analysis of fossil data has been significantly aided by the introduction of the fossilized birth–death (FBD) process, a model that accounts for fossil sampling through time. A decade on from the first implementation of the FBD model, we explore its use in more than 170 empirical studies, summarizing insights gained through its application.
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Zhang, Boming. "The Stock Price Forecasting Based on Time Series Model and Neural Network." BCP Business & Management 38 (March 2, 2023): 3423–28. http://dx.doi.org/10.54691/bcpbm.v38i.4319.

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The ARIMA model and LSTM model are commonly seen in stock price forecasting, and their excellent performance in processing and forecasting time series data has made them widely used and popular. They are used to predict future values with relatively high accuracy and small error values. Based on the excellent performance of LSTM model and ARIMA model on time series, this paper discusses the use and findings of ARIMA model and LSTM model in empirical studies and indicates whether they can be used for stock forecasting. This paper highlights the advantages and disadvantages of ARIMA model and LS
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Sun, Qinggang, and Sang-Bing Tsai. "An Empirical Study on Application of Virtual Reality Animation Technology by Big Data Model." Mathematical Problems in Engineering 2021 (June 25, 2021): 1–9. http://dx.doi.org/10.1155/2021/1067954.

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Regional cultural and creative products are paying more attention to the cultural core of their design and communication, while satisfying the basic design elements of appearance, function, and aesthetics; therefore, agricultural cultural and creative image (ACCI) also has its dual attributes of culture and commerce. Virtual reality (VR) animation technology can integrate video, text, and model into one, comprehensively display the three-dimensional digital content of regional cultural characteristics, bring users an immersive viewing experience, and enhance their interest in traditional cultu
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Singer, Bonnie D., and Anthony S. Bashir. "Wait…What??? Guiding Intervention Principles for Students With Verbal Working Memory Limitations." Language, Speech, and Hearing Services in Schools 49, no. 3 (2018): 449–62. http://dx.doi.org/10.1044/2018_lshss-17-0101.

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Purpose The purpose of this clinical focus article is to present 5 guiding principles for the development of interventions for children with limited verbal working memory abilities. Method Summarizing and synthesizing previously reported theories and empirical data, we present a framework intended to guide working memory interventions. Results Existing research and theory support a comprehensive, multidimensional treatment model that considers the knowledge and abilities of the student and the language-learning demands they face in the various contexts of a school day. Conclusion The clinical
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Flodström, Anders, Robert Andrei Buchmann, and Andrea Morichetta. "CSIMQ Anniversary Editor-in-Chief Thoughts and Editorial Introduction to Issue 38: Model-based and Decision Support Methods for Next-generation Information Systems." Complex Systems Informatics and Modeling Quarterly, no. 38 (April 30, 2024): I—III. http://dx.doi.org/10.7250/csimq.2024-38.00.

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CSIMQ enters its second decade of existence, therefore the preface for the current issue starts with a message from the Editor-in-Chief, highlighting the journal’s mission of dealing with complexity management and systems modeling as meta-fields that have emerged from Information Science but remain relevant across diverse domains. Afterwards, the 38th issue is introduced by summarizing the four articles selected by guest issue editors on topics related to novel decision support methods or model-based frameworks for evolving or evaluating information systems. Design-oriented research is the dom
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Berraies, Sarra, Maha Achour, and Mehrez Chaher. "Focusing The Mediating Role Of Knowledge Management Practices: How Does Institutional And Interpersonal Trust Support Exploitative And Exploratory Innovation?" Journal of Applied Business Research (JABR) 31, no. 4 (2015): 1479. http://dx.doi.org/10.19030/jabr.v31i4.9331.

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<p>The purpose of this paper is to investigate the influence of both institutional and interpersonal trust on innovation and deepens the analysis by exploring the mediating role of knowledge management (KM) practices in this relationship. Conceptually, this reflection leads to the proposal of a conceptual model summarizing the relationships between the research variables. This model was tested with 226 senior officials in companies operating in the information and communication technologies (ICT) Tunisian sector on the basis of a structured questionnaire. The collected data were treated
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Montaner, Salvador. "EFL written competence through twitter in mobile version in compulsory secondary education." Global Journal of Foreign Language Teaching 10, no. 2 (2020): 101–10. http://dx.doi.org/10.18844/gjflt.v10i2.4665.

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The use of Information and Communication Technologies (henceforth, ICT) in foreign language learning and, to be more specific, in English language learning has increased quite considerably since the commencement of the 21st century and, particularly, in the second decade of the 21st century with the introduction of mobile learning (m-learning, henceforth) at our daily lives. Our aim, at this current paper, is to confirm whether use of the Twitter social network via a mobile device helps Spanish learners of English as a foreign language (henceforth, EFL) improve their quality of EFL written exp
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Malyshevskaya, A. S., F. Gallо, B. Bermudez-Margaretto, et al. "Language attrition: mechanisms of occurrence, features of study and prospects for further research." Современная зарубежная психология 10, no. 1 (2021): 111–24. http://dx.doi.org/10.17759/jmfp.2021100111.

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This theoretical review clarifies the concept of "language attrition " by defining the phenomenological and contextual features of its utilization, discussing the definition of contradictions, and suggesting potential directions for future research. Taking into account existing data, we regard the existing approaches to language attrition and analyze the mechanisms underlying the phenomenon. This analysis seems to be the first step in building up an integral theoretical model summarizing the available empirical data. It helps to apply a neurobiological approach, allowing to identify neural mar
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Fang, Hongzheng, Bing Chen, Haodong Ma, and Liguo Zhang. "Intelligent Monitoring and Predicting Output Power Losses of Solar Arrays Based on Particle Filtering." Mathematical Problems in Engineering 2013 (2013): 1–7. http://dx.doi.org/10.1155/2013/819379.

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Solar arrays are the main source of energy to the on-orbit satellite, whose output power largely determines the life cycle of on-orbit satellites. Monitoring and further forecasting the output power of solar arrays by using the real-time observational data are very important for the study of satellite design and on-orbit satellite control. In this paper, we firstly describe the dynamical model of output power with summarizing the influencing factors of attenuation for solar arrays and elaborating the evolution trend of influencing factors which change with time. Based on the empirical model, a
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Caset, Freke, Filipe Marques Teixeira, Ben Derudder, Kobe Boussauw, and Frank Witlox. "Planning for nodes, places and people in Flanders and Brussels: Developing an empirical railway station assessment model for strategic decision-making." Journal of Transport and Land Use 12, no. 1 (2019): 811–37. http://dx.doi.org/10.5198/jtlu.2019.1483.

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Against the backdrop of current policy discussions in Flanders dealing with differentiated urban development schemes for strategic railway stations, this paper develops an empirical railway station assessment tool. We build on the node-place modeling literature, and more specifically on the tradition of quantitative station assessment models which has emerged from it. First, a series of methodological contributions are proposed in which we suggest strategies to improve the analytical strength of some standard node-place parameters, we broaden the model with temporal variability in accessibilit
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Bernard, Giuliano, Lukas Budde, Roman Hänggi, and Thomas Friedli. "Driving Continuous Improvement with Industry 4.0 Technologies: Lessons from Multiple Use Case Analysis." Applied Sciences 15, no. 4 (2025): 2191. https://doi.org/10.3390/app15042191.

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Background: The integration of lean management and Industry 4.0 offers great potential for improving the efficiency and effectiveness of production. However, there is still minimal empirical research on how these two approaches interact in practice, including possible synergies and conflicts. In this paper, we use empirical observations to examine how and why Industry 4.0 technologies can support and enhance the continuous improvement process, a fundamental aspect of lean management. We discuss how these technologies specifically contribute to continuous improvement and their overall impact on
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Liu, Ziwei. "Research on the Application of Signal Integration Model in Real-Time Response to Social Events." Journal of Computer, Signal, and System Research 2, no. 2 (2025): 102–6. https://doi.org/10.71222/2n01jq04.

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With the increasing complexity of social events, how to quickly respond and make precise decisions in a dynamic and changing environment has become a key issue in the field of public management. The signal integration model, as an advanced information fusion technology, greatly improves the timeliness of event responses and the quality of decision-making by summarizing information from various data sources. This article deeply analyzes the application of signal integration models in handling social events, and explores the specific roles of the models in information collection, data synthesis,
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Rao, Akshatha, and Rama Devi Nandineni. "Exploring antecedents of built environment for walkability of older adults: A systematic literature review." F1000Research 14 (February 24, 2025): 229. https://doi.org/10.12688/f1000research.161255.1.

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Background This systematic literature review (SLR) explores how urban design influences walking access in the built environment for walking of older adults, summarizing existing studies. Examining various theories, it analyses themes like safety, security, comfort, convenience, aesthetics, governance, and policy frameworks. By critically reviewing the literature, it seeks to understand current research trends and suggest future directions. Methods The study employs an evidence-based systematic approach, following the standard procedure of SLR to identify relevant studies and extract informatio
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Makarova, Elena Alexandrovna. "Modern model of foreign language education: Principles of ecosystem approach." Science for Education Today 13, no. 3 (2023): 163–77. http://dx.doi.org/10.15293/2658-6762.2303.08.

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Introduction. The paper investigates peculiar features of the ecosystem approach to teaching foreign languages at university. The aim of the study is to summarize the ideas about the ecosystem in modern educational conceptions and language research, in the practice of implementing models of effective foreign language teaching. Materials and Methods. The author applies a systematic approach to the analysis of the concept ‘ecosystem’ being under consideration in modern educational research investigations, a scientific approach to substantiating the ecological views on investigating language skil
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Losada, David E., and Javier Parapar. "Psychological Features for Automatic Text Summarization." International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems 25, Suppl. 2 (2017): 129–49. http://dx.doi.org/10.1142/s0218488517400153.

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Automatically summarizing a document requires conveying the important points of a large document in only a few sentences. Extractive strategies for summarization are based on selecting the most important sentences from the input document(s). We claim here that standard features for estimating sentence importance can be effectively combined with innovative features that encode psychological aspects of communication. We employ Quantitative Text analysis tools for estimating psychological features and we inject them into state-of-the-art extractive summarizers. Our experiments demonstrate that th
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Mupita, Jonah, Ade Gafar Abdullah, and Frank Bünning. "Flipping the Technical and Vocational Classroom for Increased Instructional Outcomes." Innovation of Vocational Technology Education 16, no. 1 (2020): 11–31. http://dx.doi.org/10.17509/invotec.v16i1.23510.

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Higher learning institutions are under immense pressure to evolve within the realms of the fourth industrial revolution. Training institutions are anticipated to minimize learning costs in the face of increasing enrolments. The flipped classroom model is a suitable instructional pedagogy to achieve institutional goals considering the current ubiquitousness of information and communication technology. The systematic review was aimed at summarizing and identifying research gaps that help inform future research trajectories. The 3-step review process was composed of articles searching and retriev
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Mačiulienė, Monika, and Eglė Butkevičienė. "The Ecosystem Approach in Addressing Sustainable Development Goals through Citizen Science in Lithuania." Sustainability 14, no. 4 (2022): 2155. http://dx.doi.org/10.3390/su14042155.

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This article presents an overview of the ecosystem of citizen science development in Lithuania and its potential to address United Nations sustainable development goals (SDGs). As citizen science is still in the early development stage in Lithuania, this case study is an example of ecosystem analysis in the period of early citizen science adoption. This article highlights the holistic analysis of the different components of this ecosystem, focusing on the three major dimensions at different levels—content, actors and processes. A conceptual model for the analysis of the citizen science ecosyst
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Qasim, Tahira Bano, Hina Ali, Natasha Malik, and Malika Liaquat. "Forecasting Inflation Applying ARIMA Model with GARCH Innovation: The Case of Pakistan." Journal of Accounting and Finance in Emerging Economies 7, no. 2 (2021): 305–16. http://dx.doi.org/10.26710/jafee.v7i2.1681.

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Purpose: The research aims to build a suitable model for the conditional mean and conditional variance for forecasting the rate of inflation in Pakistan by summarizing the properties of the series and characterizing its salient features.
 Design/Methodology/Approach: For this purpose, Pakistan’s Inflation Rate is based upon the Consumer Price Index (CPI), ranging from January 1962 to December 2019 has been analyzed. Augmented Dickey Fuller (ADF) test that was used for testing the stationarity of the series. The ARIMA modeling technique is a conditional mean and GARCH model for conditional
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Schneider-Kamp, Anna. "The Potential of AI in Care Optimization: Insights from the User-Driven Co-Development of a Care Integration System." INQUIRY: The Journal of Health Care Organization, Provision, and Financing 58 (January 2021): 004695802110179. http://dx.doi.org/10.1177/00469580211017992.

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Transitions from one level of care to another are complex processes that pose medical and organizational risks and depend on care integration between different providers. This qualitative study investigated user experiences with an existing digital system for care integration between hospitals and nursing homes, and the potential of artificial intelligence to contribute to its optimization. The findings reveal challenges regarding (a) untimely information, (b) irrelevant information, (c) confusing information, (d) missing information, (e) information overload, and (f) information multiplicity.
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Dixon, Roger A., and Lars Bäckman. "The Concept of Compensation in Cognitive Aging: The Case of Prose Processing in Adulthood." International Journal of Aging and Human Development 36, no. 3 (1993): 199–217. http://dx.doi.org/10.2190/l17d-1pj6-9g45-yc25.

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Although the rule of cognitive aging appears to be one of generalized decline with advancing age, much recent theoretical and empirical work has addressed a variety of potential exceptions to this rule. One mechanism through which decline might not be experienced is known as compensation. We describe a conceptualization of compensation that applies to lifespan cognitive development, in general, and the aging of prose processing skills, in particular. Our model of the forms and processes of compensation directs attention to the developing dynamics of cognitive skills and compensatory mechanisms
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Steurer, Reinhard, and André Martinuzzi. "Towards a New Pattern of Strategy Formation in the Public Sector: First Experiences with National Strategies for Sustainable Development in Europe." Environment and Planning C: Government and Policy 23, no. 3 (2005): 455–72. http://dx.doi.org/10.1068/c0403j.

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Despite lengthy debates about planning versus incrementalism, there is still no consensus on what strategy processes should look like in the public sector. In the environmental policy field, the decline of formal policy planning was nonetheless followed by a surge of national strategies for sustainable development (NSSDs). After summarizing this development, we highlight some key characteristics, good practices, and weaknesses of NSSDs with regard to participation, horizontal and vertical policy integration, policy implementation, and monitoring. It is shown that NSSDs go well beyond former en
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Nhinh Nguyen Thi, Binh Trinh Thanh, Ha Nguyen Thi Ngoc, and An Vu Truc Quynh. "Research of Factors Affecting the Implementation of Vietnam Public Accounting Standards at Revenue – Generating Administrative and Non – Business Units." International Journal of Scientific Research and Management 11, no. 03 (2023): 4666–73. http://dx.doi.org/10.18535/ijsrm/v11i03.em2.

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By the method of summarizing documents, the article aims to identify the factors affecting the application of international public accounting standards in some countries, along with the views of the authors on the factors that will affect when applying Public Accounting Standards (PAS) in units within the scope of application of Accounting Standards. public mathematics in Vietnam. Vietnam is in the process of completing the development of public accounting standards through stages, in order to help the information provided on financial statements be more transparent and comparable. The factors
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Hagedorn, Marcus, and Iourii Manovskii. "Job Selection and Wages over the Business Cycle." American Economic Review 103, no. 2 (2013): 771–803. http://dx.doi.org/10.1257/aer.103.2.771.

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We consider a model with on-the-job search where current wages depend only on current aggregate labor market conditions and idiosyncratic match-specific productivities. We show theoretically that the model replicates the findings in Bils (1985) and Beaudry and DiNardo (1991) on the history dependence in wages. We develop a method to measure match qualities in the data and show empirically that various variables summarizing past aggregate labor market conditions have explanatory power for current wages only because they are correlated with match qualities. They lose any predictive power once ma
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Loignon, Andrew Caleb, and David J. Woehr. "Social Class in the Organizational Sciences: A Conceptual Integration and Meta-Analytic Review." Journal of Management 44, no. 1 (2017): 61–88. http://dx.doi.org/10.1177/0149206317728106.

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Social class has become increasingly popular in the organizational sciences. Despite the burgeoning interest in this topic, there remains a great deal of ambiguity concerning the conceptualization and operationalization of social class. For instance, scholars have used income, education, and subjective ratings to measures one’s social class. In order to improve the conceptual clarity of social class, we develop and present a model that draws on the dominant theories of social class from both sociology and psychology while organizing their key principles to explain how social class influences a
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Khan, Abdul, Feras Al-Obeidat, Afsheen Khalid, Adnan Amin, and Fernando Moreira. "Sentence embedding approach using LSTM auto-encoder for discussion threads summarization." Computer Science and Information Systems, no. 00 (2023): 55. http://dx.doi.org/10.2298/csis221210055k.

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Online discussion forums are repositories of valuable information where users interact and articulate their ideas, opinions, and share experiences about nu merous topics. They are internet-based online communities where users can ask for help and find the solution to a problem. On online discussion forums, a new user becomes exhausted from reading the significant number of replies in a discussion. An automated discussion thread summarizing system (DTS) is necessary to create a candid view of the entire discussion of a query. Most of the previous approaches for automated DTS use the continuous
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Jaworski, Jacek, and Leszek Czerwonka. "Meta-study on the relationship between profitability and liquidity of enterprises in macroeconomic and institutional environment." DECISION 48, no. 2 (2021): 233–46. http://dx.doi.org/10.1007/s40622-021-00280-y.

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AbstractThe main aim of the paper is to determine the relationship between profitability and financial liquidity of a company using meta-analysis. This method is based on a synthesis of many previous studies with the application of econometric tools. The results of the study show that, taking into account 16 economies, it is not possible to identify a common effect describing the relationship between the profitability of enterprises and their financial liquidity measured by the current liquidity ratio. The results of individual empirical studies that underlie the meta-analysis are diverse. Thi
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Yi, Quanyong, Xu Liu, Shanshan Ding, Xinyue Yao, and Lisha Luo. "Evaluation of Citizen Epidemic Prevention Information Literacy in the Post-Epidemic Era in Mainland China." International Journal of Environmental Research and Public Health 20, no. 6 (2023): 5226. http://dx.doi.org/10.3390/ijerph20065226.

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Improving citizen epidemic prevention information literacy is one of the most cost-efficient and important measures to improve people’s epidemic prevention abilities to effectively deal with future public health crises. Epidemic prevention information literacy is beneficial to improve individuals’ ability to deal with public health crises in the future. By summarizing related domestic and international research, and utilizing an empirical methodology, we constructed an epidemic prevention information literacy assessment model with good reliability, validity, and model fit. The model is compose
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Ogorodnikova, Ekaterina, Andrey Plakhin, and Konstantin Rostovtsev. "Training of volunteers for social services as an element of a participatory model of sustainable development paradigm." E3S Web of Conferences 291 (2021): 06008. http://dx.doi.org/10.1051/e3sconf/202129106008.

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The relevance of the study of the processes of training volunteers working in social service organizations is due to the massive use of labor of non-professional participants to provide social services to needy groups of the population. The purpose of this article is to substantiate a conceptual model for organizing regional systems for vocational training and certification of volunteers in the field of social services. The research was carried out on the basis of studying, summarizing and systematizing scientific literature, regulatory documents, training programs for volunteers, and social s
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ANDERSON, KYM, MARIANNE KURZWEIL, WILL MARTIN, DAMIANO SANDRI, and ERNESTO VALENZUELA. "Measuring distortions to agricultural incentives, revisited*." World Trade Review 7, no. 4 (2008): 675–704. http://dx.doi.org/10.1017/s1474745608004011.

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AbstractNotwithstanding the tariffication component of the Uruguay Round Agreement on Agriculture, import tariffs on farm products continue to provide an incomplete indication of the extent to which agricultural producer and consumer incentives are distorted in national markets. As well, in developing countries especially, non-agricultural policies indirectly impact on agricultural and food markets. Empirical analysis aimed at monitoring distortions to agricultural incentives thus need to examine both agricultural and non-agricultural policy measures including import or export taxes, subsidies
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Hua, Jinsong, Preben J. S. Vie, and Julia Wind. "Extending an Empirical Degradation Model for Li-Ion Batteries into Second-Life Applications." ECS Meeting Abstracts MA2024-01, no. 2 (2024): 474. http://dx.doi.org/10.1149/ma2024-012474mtgabs.

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Lithium-ion batteries have been used increasingly in recent years for a wide range of applications, e.g., electric vehicles and large-scale power grids. Lithium-ion batteries suffer from degradation caused by their operation and their exposure to environmental conditions and thus have a limited lifetime within their first application. These batteries might be available for re-use in a different application, commonly under more moderate usage conditions. The influence of such a change in operating conditions on battery degradation within a second life application is not very well understood. He
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Batey, Peter W. J. "What Can Demographic–Economic Modeling Tell Us about the Consequences of Regional Decline?" International Regional Science Review 41, no. 2 (2016): 256–81. http://dx.doi.org/10.1177/0160017616654741.

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The aim of this article is to demonstrate how a particular modeling framework, based on extended input–output analysis, can be used to obtain a clearer understanding of the impact of regional decline of the effects of high, and rising, unemployment; of falling industrial final demand; of welfare payments; and of declining population. The activity–commodity framework used here provides a systematic way of adding demographic variables to the familiar Leontief interindustry model and the extended inverse derived from it provides a rich source of information about the interaction of demographic an
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Shah, D. A., J. E. Molineros, P. A. Paul, K. T. Willyerd, L. V. Madden, and E. D. De Wolf. "Predicting Fusarium Head Blight Epidemics With Weather-Driven Pre- and Post-Anthesis Logistic Regression Models." Phytopathology® 103, no. 9 (2013): 906–19. http://dx.doi.org/10.1094/phyto-11-12-0304-r.

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Our objective was to identify weather-based variables in pre- and post-anthesis time windows for predicting major Fusarium head blight (FHB) epidemics (defined as FHB severity ≥ 10%) in the United States. A binary indicator of major epidemics for 527 unique observations (31% of which were major epidemics) was linked to 380 predictor variables summarizing temperature, relative humidity, and rainfall in 5-, 7-, 10-, 14-, or 15-day-long windows either pre- or post-anthesis. Logistic regression models were built with a training data set (70% of the 527 observations) using the leaps-and-bounds algo
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Hafiz Muhammad Moin-Ul-Aziz, Syed Fawad Azeem, Shazia Hanif, and Khizar Hayat Khan. "Cost Control Optimization Strategies in Hospital Financial Management: An Empirical Study Based on Chinese Hospitals." Critical Review of Social Sciences Studies 3, no. 3 (2025): 332–50. https://doi.org/10.59075/5e59b542.

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Understanding a hospital system requires summarizing several departments' functions. To succeed, a hospital must evaluate expenses. Researchers seek to understand cost components, including Material and Administrative. This study evaluates the financial framework of hospitals, investigating 30 private hospitals in southern China and analyzing cost management measures. Complexity arises with healthcare advancement and patient expectations, aligned with current technology. The research identifies critical cost areas. Methods: Questionnaires on cost-control policy and strategies surveyed 110 phys
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LIU, XUN, XIA PENG, and MARTIN STUART. "RESEARCH ON RISK MEASUREMENT OF SUPPLY CHAIN FINANCE BASED ON FRACTAL THEORY." Fractals 28, no. 08 (2020): 2040013. http://dx.doi.org/10.1142/s0218348x20400137.

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Supply chain finance is a new financing model tailored for small and medium-sized enterprises, which integrates capital flow into supply chain management, providing commercial trade capital services for enterprises in all aspects of the supply chain and providing new loan financing services for vulnerable enterprises in the supply chain. Fractal originally is a general term for a graph, structure or phenomenon that does not have a feature length but has a statistically significant self-similarity; fractal theory is an emerging edge science that describes the complex system with a random struct
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Baranova, E. I., and Andrei Y. Yudanov. "Stylized life cycle of high-growth companies in Russia." Voprosy Ekonomiki, no. 3 (March 10, 2022): 77–97. http://dx.doi.org/10.32609/0042-8736-2022-3-77-97.

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The article is devoted to the empirical identification and analysis of the stylized life cycle of high-growth companies (gazelle firms, HGFs). The stylized cycle is calculated in real time by summarizing the dynamics of the main indicators of 11 generations of HGFs (7743 firms). On the basis of this analysis, the effects not previously described were established. (1) The presence of a trigger point at which a change in the business model causes a catastrophic deterioration in the main indicators, but at the same time opens the way to rapid growth in a new direction (the phenomenon of internal
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Brunori, Paolo, Francisco H. G. Ferreira, and Guido Neidhöfer. "Inequality of opportunity and intergenerational persistence in Latin America." Oxford Open Economics 4, Supplement_1 (2025): i167—i199. https://doi.org/10.1093/ooec/odae021.

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Abstract How strong is the transmission of socio-economic status across generations in Latin America? To answer this question, we first review the empirical literature on intergenerational mobility and inequality of opportunity for the region, summarizing results for both income and educational outcomes. We find that, whereas the income mobility literature is hampered by a paucity of representative datasets containing linked information on parents and children, the inequality of opportunity approach – which relies on other inherited and pre-determined circumstance variables – has suffered from
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Yao, Gang, Yuan Chen, Chaofan Han, and Zhongcheng Duan. "Research on the Decision-Making Method for the Passive Design Parameters of Zero Energy Houses in Severe Cold Regions Based on Decision Trees." Energies 17, no. 2 (2024): 506. http://dx.doi.org/10.3390/en17020506.

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As the field of zero energy building design and research continues to progress, the use of data analysis methods is on the rise. These methods are applied to create assessment criteria, compare performance, and aid in design decision making. Decision trees, as a data-driven approach, offer interpretability and predictability, assisting designers in summarizing their design experience and serving as a foundation for design references. However, the current application of decision tree methods in the zero energy house sector primarily focuses on HVAC systems, lacking a comprehensive exploration f
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