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Journal articles on the topic 'Panel data analysis and Exploratory Data analysis'

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1

Akash, M. A., and Ajay Massand Dr. "Analyzing the Impact of Covid-19 And Solvency Ratios on the Profitability of Indian Pharma Companies." Journal of Research and Review in Accounting, Business & Finance ManagementJournal of Research and Review in Accounting, Business & Finance Management 1, no. 2 (2024): 45–56. https://doi.org/10.5281/zenodo.13576618.

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<em>The present research work studies about the impact of Covid-19 and solvency ratios impact on the profitability of Indian pharma companies. This particular study has been conducted for the period of 11 years from 2013 to 2023 with the data set of 110 observations for 10 pharma companies which are registered under BSE (Bombay stock Exchange) and NSE (National Stock Exchange) of India. The four independent variables are Covid, Current ratio, Debt to equity ratio and Interest coverage ratio and the dependent variable as Return on Net worth have been tested using the Panel Data Analysis and Exp
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Malik, Amir Yousuf, Baljit Kaur, and Zahid Mushtaq. "Exploratory Data Analysis and Forecasting the Output Power Generated by Solar Photovoltaic." International Journal for Research in Applied Science and Engineering Technology 10, no. 11 (2022): 1061–71. http://dx.doi.org/10.22214/ijraset.2022.47537.

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Abstract: Due to solar PV panels' growing feasibility as a renewable energy source, PV panel installations have surged recently. Machine learning algorithms can now generate better predictions due to the increasing availability of data and computing capacity. For many stakeholders in the energy business, predicting solar PV energy output is crucial, therefore machine learning and time series models may be used to do this. In this study, time series models and several machine learning techniques are compared across five different sites in India. Since the energy time series are non-stationary,
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ANDRESS, HANS-JÜRGEN. "Recurrent unemployment—The West German experience: An exploratory analysis using count data models with panel data." European Sociological Review 5, no. 3 (1989): 275–97. http://dx.doi.org/10.1093/oxfordjournals.esr.a036526.

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Khan, Muhammad Anus Hayat, and Ijaz Hussain. "Analysis of Road Traffic Accidents in the Punjab by Using Panel Count Data Models." STATISTICS, COMPUTING AND INTERDISCIPLINARY RESEARCH 3, no. 1 (2021): 1–13. http://dx.doi.org/10.52700/scir.v3i1.23.

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Each year more than three thousand people die and get serious injuries in traffic accidents. Count data model provide more precise tools for planners and decision makers to conduct proactive road safety planning.We analyzed the exploratory research of Road Traffic Accidents (RTAs) and furthermore explores the factors affecting the RTAs frequency in 36 districts of the Punjab over a time period of three years (July 1, 2013 June 30, 2016) with monthly data using panel count data models. Among the models considered, the random parameters Poisson panel count data model is found to fit the data bes
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Friesner, Daniel, and Robert Rosenman. "The relationship between service intensity and the quality of health care: an exploratory data analysis." Health Services Management Research 18, no. 1 (2005): 41–52. http://dx.doi.org/10.1258/0951484053051915.

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This paper provides an empirical check of some assumptions used to define the quality of care in the health services literature. Specifically, we test (i) whether service intensity is the only important determinant of a provider's quality and (ii) whether higher service intensity always causes higher quality. Using a panel of hospitals from Washington State, we find evidence that rejects both of these assumptions. As a result, further work is needed to postulate a more general definition that does not rely on these assumptions.
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Kim, Jeonghyun, Lingzi Hong, Sarah Evans, Erin Oyler‐Rice, and Irhamni Ali. "Development and Validation of a Data Literacy Assessment Scale." Proceedings of the Association for Information Science and Technology 60, no. 1 (2023): 620–24. http://dx.doi.org/10.1002/pra2.827.

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ABSTRACTThe recognition of data literacy as an important learning outcome in higher education has led to a call for assessment tools to measure students’ data literacy. Although there has been a growing interest in the conceptualization of data literacy, the literature lacks a measuring instrument to operationalize data literacy. This study developed and validated a three‐factor, 24‐item data literacy assessment tool using a sample of 573 students from four community colleges in the United States. The data literacy scale developed in this study has respectable reliability and construct validit
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Tchuta, Leonard, and Fuji Xie. "AN EXPLORATORY FACTOR ANALYSIS OF FIRMS ENDOGENOUS GROWTH MEASURES." Humanities & Social Sciences Reviews 7, no. 5 (2019): 201–8. http://dx.doi.org/10.18510/hssr.2019.7525.

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Purpose: This study attempts to standardize firm endogenous growth measures by performing exploratory factor analysis on nine firm endogenous growth measures (equity book value, equity market value, working capital, stock R&amp;D investments, stock advertisement investment, stock capital asset investment, operating expenses, sales revenue, and the number of employees).&#x0D; Methodology: Data was generated by pooling a panel dataset of 116 firms and13 years timespan data.&#x0D; Main Findings: The result of the analysis reveals three underlying firm growth factors (namely firm financials, opera
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Postalovskiy, A. V. "Exploratory research as a method for making a people-metric panel in the media study of the television audience." RUDN Journal of Sociology 22, no. 3 (2022): 707–19. http://dx.doi.org/10.22363/2313-2272-2022-22-3-707-719.

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The article considers methodological approaches and practical use of the exploratory research for making a people-metric panel for the measurement of television ranking indicators. The main task of the exploratory research is to design a social-demographic portrait of the audience, to assess the contribution to the television viewing of different age groups, and to identify control parameters for the selection of permanent participants in such studies. In 2020, in the Republic of Belarus, the practice for establishing a single national television and radio ranking measuring company was tested.
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Alldredge, Jill, Vinay Kumar, Brook Sanders, and Farahnaz Rahmatpanah. "Abstract 6219: Endogenous human retroviruses in epithelial ovarian cancers: An exploratory analysis." Cancer Research 83, no. 7_Supplement (2023): 6219. http://dx.doi.org/10.1158/1538-7445.am2023-6219.

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Abstract Objectives: Endogenous human retroviruses (ERVs) are remnants of exogenous retroviruses that gained access to germline cells allowing integration into the human genome. Emerging data suggest that some ERVs may become activated allowing epigenetic alterations through DNA methylation or histone modification, which can further alter gene regulation. This may serve as a targeted therapeutic opportunity in modulating oncogenesis, through aberrant oncogene activation or tumor suppressor gene inactivation. This is an emerging area of exploration in ovarian cancer. Methods: We applied our ERV
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Sagge, Jr, Roberto G. "Exploring Students’ Perceptions of Academic Integrity in the Digital Classroom through Exploratory Factor Analysis (EFA)." Indian Journal Of Science And Technology 17, no. 46 (2024): 4907–20. https://doi.org/10.17485/ijst/v17i46.2384.

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Objectives: The research aims to develop a reliable tool for thoroughly understanding the multifaceted concept of academic integrity and establish a foundational model that can serve as a cornerstone for subsequent investigations into academic integrity within digital classrooms. Methods: A cross-sectional survey method was employed, involving 196 students from the College of Education of a state university in the Visayas region of the Philippines. The participants were students across year levels from the following programs: Bachelor of Secondary Education and Bachelor of Elementary Education
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Vo, Thi Le Uyen, Duc Ngoc Thien Vu, Thi Ngoc Minh Phuong, Thi Phuong Nga Nguyen, Nguyen Bien Ngoc Ho, and Thi Hong Ngoc Thai. "Vietnam’s exports in the period of 2012-2020: Combining exploratory factor analysis method in regression models for panel data." Ministry of Science and Technology, Vietnam 64, no. 10 (2022): 13–19. http://dx.doi.org/10.31276/vjst.64(10).13-19.

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2020 was a year when international trade activities are not favourable. However, Vietnam still ranked in the group of countries with the highest growth in the world. And prominent in that economic picture is Vietnam’s export activities. Therefore, it is really urgent to find suitable solutions to help export continuously maintain its role as the key engine of growth in the context of increasingly complex disease developments. To assess the impact of the epidemic and some macro factors on export activities, this study used regression models for panel data with latent variables to measure main f
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Javadiha, Mohammadreza, Carlos Andujar, and Enrique Lacasa. "A Query Language for Exploratory Analysis of Video-Based Tracking Data in Padel Matches." Sensors 23, no. 1 (2022): 441. http://dx.doi.org/10.3390/s23010441.

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Recent advances in sensor technologies, in particular video-based human detection, object tracking and pose estimation, have opened new possibilities for the automatic or semi-automatic per-frame annotation of sport videos. In the case of racket sports such as tennis and padel, state-of-the-art deep learning methods allow the robust detection and tracking of the players from a single video, which can be combined with ball tracking and shot recognition techniques to obtain a precise description of the play state at every frame. These data, which might include the court-space position of the pla
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Brahmi, Mehdi, Olivier Tredan, Nicolas Penel, et al. "Large versus limited molecular profiling panel screening program in patients with metastatic sarcoma: An exploratory subgroup analysis from the ProfiLER 02 trial." Journal of Clinical Oncology 41, no. 16_suppl (2023): 11545. http://dx.doi.org/10.1200/jco.2023.41.16_suppl.11545.

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11545 Background: Profiler 02 (NCT03163732) is a multicentre, randomized molecular screening clinical trial aiming to evaluate the feasibility and the benefit of a large NGS (Next-generation sequencing) panel (FoundationOne Medicine NGS panel or FOne, 324 cancer-related genes) compared to a limited one (Control panel or CTRL, 87 cancer-related genes) in terms of clinical, quality of life and health economic outcomes. We present here the results of the patients with advanced/metastatic sarcoma included in the Profiler 02 trial. Methods: Patients (pts) were enrolled during their first-line of st
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Kramer, Nicole E., Eric S. Davis, Craig D. Wenger, et al. "Plotgardener: cultivating precise multi-panel figures in R." Bioinformatics 38, no. 7 (2022): 2042–45. http://dx.doi.org/10.1093/bioinformatics/btac057.

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Abstract Motivation The R programming language is one of the most widely used programming languages for transforming raw genomic datasets into meaningful biological conclusions through analysis and visualization, which has been largely facilitated by infrastructure and tools developed by the Bioconductor project. However, existing plotting packages rely on relative positioning and sizing of plots, which is often sufficient for exploratory analysis but is poorly suited for the creation of publication-quality multi-panel images inherent to scientific manuscript preparation. Results We present pl
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Catabona, Zuzette Basa. "Exploratory Factor Analysis of Online Teaching Effectiveness in Nursing Education." Proceedings Series on Health & Medical Sciences 6 (January 17, 2025): 119–26. https://doi.org/10.30595/pshms.v6i.1414.

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The rapid growth of online education has necessitated an in-depth investigation into the factors influencing teaching effectiveness in online learning environments. This study aims to identify and examine the key factors contributing to the online teaching effectiveness of nurse instructors through Exploratory Factor Analysis (EFA) and develop a tool to measure the Online Teaching Effectiveness (OTE) of nursing instructors. Preliminary item statements were developed based on a thorough review of relevant literature, resulting in a 49-item scale. A multidisciplinary panel member then validated
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Wong, JuYin (Helen). "Length of time to first job for immigrants in the United Kingdom: An exploratory analysis." Canadian Studies in Population 40, no. 1-2 (2013): 89. http://dx.doi.org/10.25336/p6v60t.

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This study explores whether ethnicity affects immigrants’ time to first employment. Many studies on labour/social inequalities focus on modeling cross-sectional or panel data when comparing ethnic minority to majority groups in terms of their employment patterns. Results from these models, however, do not measure the degree of transition-duration penalties experienced by immigrant groups. Because time itself is an important variable, and to bridge the gap between literature and methodology, a lifecourse perspective and a duration model are employed to examine the length of transition that immi
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Xu, Jinfu, and Ruoyu Yang. "Sports Industry Agglomeration and Green Economic Growth—Empirical Research Based on Panel Data of 30 Provinces and Cities in China." Sustainability 11, no. 19 (2019): 5399. http://dx.doi.org/10.3390/su11195399.

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Based on the panel data of 30 provinces and cities in China from 2008 to 2017, this paper empirically analyzes the current situation of the development of China’s sports industry and the impact of the concentration of sports industry on green economic growth by using the exploratory spatial data analysis method (ESDA), static panel model and dynamic panel model. The empirical results show that the sports industry in the southeast coastal provinces of China has a good foundation for concentration. The sports industry concentration in the provinces along the Yangtze River Economic Belt is in the
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18

Park, Eun Seo, and Young Il Cho. "Practice and Improvement of Factor Analysis in Criminal Justice Research." Korean Association of Public Safety and Criminal Justice 31, no. 4 (2022): 85–116. http://dx.doi.org/10.21181/kjpc.2022.31.4.85.

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This study examined the practices used to verify the validity of scales in the criminal justice areas and confirmed whether these practices were correct. Among 259 research papers published in journals listed by KCI from 2017 to 2021, 97 papers were selected for this study, which used factor analysis to verify the validity of the scale. 78.4% of papers conducted exploratory factor analysis to verify validity. It was confirmed that KMO statistics and Bartlett’s test of sphericity, methods to determine the number of factors, factor extraction methods, factor-axis rotation methods, result-present
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Bernal, Salazar, and Vargas. "Understanding the Open Innovation Trends: An Exploratory Analysis of Breadth and Depth Decisions." Administrative Sciences 9, no. 4 (2019): 73. http://dx.doi.org/10.3390/admsci9040073.

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The study of firms’ decisions on open innovation has recently attracted the attention of scholars studying the process that firms follow from closed to open models. Extant research has acknowledged that firms tend toward open innovation models and has identified the optimum levels of breadth and depth of openness toward which firms should tend. Surprisingly, there is little evidence on how firms move toward open innovation and whether they follow scholars’ recommendations. In this paper, we investigate the adoption of the open innovation model, studying firms’ decisions on breadth and depth an
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Oyewobi, Luqman Oyekunle, Abimbola Windapo, James Olabode Bamidele Rotimi, and Richard Jimoh. "Analysis of the South African construction industry business environment." Journal of Facilities Management 18, no. 4 (2020): 393–416. http://dx.doi.org/10.1108/jfm-05-2020-0033.

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Purpose The study aims to identify and examine the construction organisational environments and its dimensions that have an impact on the performance of contracting companies in South Africa. Design/methodology/approach The study reports the result of quantitative research that obtained data from 72 construction organisations registered with the South African construction industry development board via a questionnaire survey. Descriptive statistics, non-parametric and exploratory principal component analysis were used to summarise forms of correlations among observed variables and to reduce a
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Incaltarau, Cristian, Adrian V. Horodnic, Colin C. Williams, and Liviu Oprea. "Institutional Determinants of Informal Payments for Health Services: An Exploratory Analysis across 117 Countries." International Journal of Environmental Research and Public Health 18, no. 23 (2021): 12421. http://dx.doi.org/10.3390/ijerph182312421.

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Healthcare accessibility and equity remain important issues, as corruption in the form of informal payments is still prevalent in many countries across the world. This study employs a panel data analysis over the 2006–2013 period to explore the role of different institutional factors in explaining the prevalence of informal payments. Covering 117 countries, our findings confirm the significant role of both formal and informal institutions. Good governance, a higher trust among individuals, and a higher commitment to tackling corruption are associated with diminishing informal payments. In addi
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Cebula, Richard. "Do Regional Differentials in Economic Freedom Yield Regional Unemployment Rate Differentials in the U.S.? A Brief Exploratory Note Adopting Panel Data Analysis." Econometrics Letters 3, no. 1 (2016): 11. http://dx.doi.org/10.5455/elet.2016.3.1.2.

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Vâlsan, Călin, Elena Druică, and Radu-Daniel Pintilii. "An Exploratory Analysis of the Profitability of Small and Medium Firms Using Panel Data: The Case of the Greater Bucharest Metropolitan Area." Procedia Environmental Sciences 32 (2016): 337–43. http://dx.doi.org/10.1016/j.proenv.2016.03.039.

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Weigold, Ingrid K., Rebecca A. Boyle, Arne Weigold, Stephen Z. Antonucci, Heike B. Mitchell, and Caitlin A. Martin-Wagar. "Personal Growth Initiative in the Therapeutic Process: An Exploratory Study." Counseling Psychologist 46, no. 4 (2018): 481–504. http://dx.doi.org/10.1177/0011000018774541.

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Personal growth initiative (PGI), an individual’s active and intentional engagement in the growth process, was originally developed as a potentially useful construct in therapy. Although it has repeatedly been related to psychological well-being and distress, few studies have examined PGI in clinical samples. The current study investigated the role of PGI in a sample of 295 clients at a community-serving training clinic. Data were collected at two time points. Confirmatory factor analyses supported a second-order model with four first-order PGI factors: Readiness for Change, Planfulness, Using
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Buitrago R., Ricardo E., and María Inés Barbosa Camargo. "Home Country Institutions and Outward FDI: An Exploratory Analysis in Emerging Economies." Sustainability 12, no. 23 (2020): 10010. http://dx.doi.org/10.3390/su122310010.

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Although the internationalization of economies is driven by specific industry conditions or business-specific differences, the institutions that exist as background conditions directly determine firms’ strategies and interactions in the international environment. This paper contributes to the discussion on the relationship between institutional quality and outward FDI (OFDI). We used 30 indicators in 48 emerging economies in the period 2007–2017; we collected the indicators from alternative secondary sources. After we applied Factor Analysis, six factors were retained. We named the components
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Sifaki-Pistolla, Dimitra, Vasiliki Eirini Chatzea, Elpiniki Frouzi, et al. "Evidence-Based Conceptual Collection of Methods for Spatial Epidemiology and Analysis to Enhance Cancer Surveillance and Public Health." International Journal of Environmental Research and Public Health 19, no. 19 (2022): 12765. http://dx.doi.org/10.3390/ijerph191912765.

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(1) Background: Although spatial statistics are often used by cancer epidemiologists, there is not yet an established collection of methods to serve their needs. We aimed to develop an evidence-based cancer-oriented conceptual collection of methods for spatial analysis; (2) Methods: A triangulation of approaches was used; literature review, consensus meetings (expert panel), and testing the selected methods on “training” databases. The literature review was conducted in three databases. This approach guided the development of a collection of methods that was subsequently commented on by the ex
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Van Vleck, Va Nee L., and David Vera. "Cops and/or courts? A heterogeneous panel Granger-causality analysis of DUI in California." International Journal of Social Economics 44, no. 3 (2017): 286–311. http://dx.doi.org/10.1108/ijse-06-2015-0163.

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Purpose The purpose of this paper is to examine the interaction of enforcement and adjudication for general deterrence of drunk-driving. The authors present a triangular feedback model between three domains: police, courts and drunk-driving events. The authors’ deductive approach imposes no structural assumptions beyond the core of general deterrence theory. Design/methodology/approach Using a largely untapped data set for California’s 58 counties from 1990 to 2010, the authors estimate a series of heterogeneous panel Granger non-causality tests. This empirically based evidence is re-organized
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Silva, Patrícia Nascimento, and Ana Maris Fernandes dos Santos Augusto. "Política de Dados Abertos nas Universidades Federais Brasileiras." Brazilian Journal of Information Science: research trends 19 (February 19, 2025): e025005. https://doi.org/10.36311/1981-1640.2025.v19.e025005.

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Brazil's open data policy is currently implemented through the Open Data Plan (PDA), an essential document to guide the planning and publication of open data in federal government agencies. Understanding how the open data policy is being implemented at federal universities and what is being published were the questions that guided this study, which aims to identify and map the data published by Brazilian federal universities, as well as to monitor the implementation of the open data policy until the first semester of 2024. The research was characterized as exploratory, descriptive and applied,
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Gerodimos, Theofanis, Anastasios Asvestas, Georgios P. Mastrotheodoros, et al. "Scanning X-ray Fluorescence Data Analysis for the Identification of Byzantine Icons’ Materials, Techniques, and State of Preservation: A Case Study." Journal of Imaging 8, no. 5 (2022): 147. http://dx.doi.org/10.3390/jimaging8050147.

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X-ray fluorescence (XRF) spectrometry has proven to be a core, non-destructive, analytical technique in cultural heritage studies mainly because of its non-invasive character and ability to rapidly reveal the elemental composition of the analyzed artifacts. Being able to penetrate deeper into matter than the visible light, X-rays allow further analysis that may eventually lead to the extraction of information that pertains to the substrate(s) of an artifact. The recently developed scanning macroscopic X-ray fluorescence method (MA-XRF) allows for the extraction of elemental distribution images
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Hendri, Hendri, Efrizal Syofyan, and Idris Idris. "The Influence of Fiscal Decentralization on Economic Growth." Sumatra Journal of Disaster, Geography and Geography Education 2, no. 2 (2019): 146–51. http://dx.doi.org/10.24036/sjdgge.v2i2.173.

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The purpose of this study is to know and analyze the influence of the local revenue, the balance fund, the capital expenditure and the private investment on economic growth. This research is an exploratory study conducted on 19 regency/city government in West Sumatera Province. Data analysis techniques are descriptive analysis, classical assumption test, and panel data regression analysis. The results of this study found that: 1) The local revenue of the region has no significant effect on economic growth, 2) the Balance fund has a significant positive impact on economic growth, 3) the Capital
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Ejebu, Ourega-Zoe. "Exploratory Study of Comparison Income and Individual Debt Using British Household Panel Survey." Review of Economic Analysis 10, no. 2 (2018): 181–202. http://dx.doi.org/10.15353/rea.v10i2.1443.

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The famous saying “keeping up with the Joneses” is a generational behaviour that is still deeply interwoven in the behavioural fabric of our modern-day society. This paper aims to address and contribute to the existing literature by investigating the determinants of individual non-mortgage debt, focusing on the role of comparison income. It also seeks to overcome certain empirical shortcomings by applying Tobit, fixed effects, and Tobit fixed effects regression models to a UK dataset. The study is motivated by previous research, which suggested the aspiration of borrowers is influential in the
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Vogt, B. J., and R. M. Edsall. "Terrestrial laser scanning and exploratory spatial data analysis for the mapping of weathering forms on rock art panels." Geocarto International 25, no. 5 (2010): 347–67. http://dx.doi.org/10.1080/10106040903524922.

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Liu, Chun, and Gui-Hua Nie. "Identifying the Driving Factors of Food Nitrogen Footprint in China, 2000–2018: Econometric Analysis of Provincial Spatial Panel Data by the STIRPAT Model." Sustainability 13, no. 11 (2021): 6147. http://dx.doi.org/10.3390/su13116147.

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This paper studies the EKC hypothesis and STIRPAT model. Based on the panel data of carbon emission intensity and other influencing factors of 30 provinces in China from 2000 to 2018, the spatial effect of per capita food nitrogen footprint (FNF) and the effect of different socio-economic factors in China were studied by using exploratory spatial data analysis and fixed effect spatial Durbin model for the first time. The results show that: (1) there is a spatial agglomeration effect and a positive spatial dependence relationship in China’s provincial per capita FNF (FNFP), which verifies that
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Uwe, Kies, Klein Dajana, and Schulte Andreas. "Germany's forest cluster: exploratory spatial data analysis of regional agglomerations and structural change in wood-based employment." Forstarchiv 81, no. 6 (2010): 236–45. https://doi.org/10.5281/zenodo.5847405.

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The &lsquo;forest cluster&rsquo; unites all industries that maintain a close relationship to their common raw material wood and therewith to the forest. A growing research in Europe&rsquo;s national forest clusters suggests a considerable contribution of wood-based supply chains to employment, yet lacks a true regional science perspective on their distribution and trends in space. This study proposes an approach for consistent targeting of the forest sector on different spatial scales, which combines a sectoral forest cluster definition, a regional shift-share analysis and an exploratory spati
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Li, Dan, Jianqian Chao, Jing Kong, Gui Cao, Mengru Lv, and Man Zhang. "The efficiency analysis and spatial implications of health information technology: A regional exploratory study in China." Health Informatics Journal 26, no. 3 (2019): 1700–1713. http://dx.doi.org/10.1177/1460458219889794.

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The new adoption of healthcare information technology is costly, and effects on healthcare performance can be questionable. This nationwide study in China investigated the efficient performance of healthcare information technology and examined its spatial correlation. Panel data were extracted from the Annual Investigation Report on Hospital Information in China and the China Health Statistics Yearbook for 2007 through 2015 (279 observations). Stochastic frontier analysis was employed to estimate the technical efficiency of healthcare information technology performance and related factors at t
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Mi, Kena, and Rulong Zhuang. "Producer Services Agglomeration and Carbon Emission Reduction—An Empirical Test Based on Panel Data from China." Sustainability 14, no. 6 (2022): 3618. http://dx.doi.org/10.3390/su14063618.

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Although China has a high rate of economic development, it still faces the problems of unstable industrial structure, low industrial level, and large carbon emissions, which pose huge challenges to China’s sustainable development. China is working hard to develop producer services to achieve industrial transformation and reduce carbon emissions. In this context, there is an extremely urgent need to conduct academic research on changes in producer service agglomeration and carbon emissions. Whether the producer service industry has agglomeration characteristics, and whether the producer service
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Reyes Cabrera, William, Jesús Pinto Sosa, and Ricardo Hernández-Dzib. "The construction and validation of a Questionnaire of Gamification Skills in Teachers (QGST)." Interaction Design and Architecture(s), no. 53 (August 20, 2022): 7–26. http://dx.doi.org/10.55612/s-5002-053-001.

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The objective of this study is to propose and validate a questionnaire that identifies gamification skills in teachers. In order to develop this instrument, a two-phase sequential exploratory design was used. In the qualitative phase, the specialized literature on gamification was reviewed, then the structure of the questionnaire, the dimensions and its indicators were obtained through the design of the items and the assessment of a panel of experts who validated the instrument. In the case of the quantitative phase, a pilot study was conducted with 203 teachers who used technology and active
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Trejo, Juan Mejia. "How the Big Data is influencing the Open Innovation. First insights into the IT Sector of Mexico." Acta Universitaria 29 (April 8, 2019): 1–25. http://dx.doi.org/10.15174/au.2019.1865.

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The purpose is aimed to disclose how the Big Data (BGD) is affecting the practice of Open Innovation (OIN) in the Information Technologies Sector of the Metropolitan Zone of Guadalajara, México (ITSMZG) to achieve an empirical model for the improvement of this sector. The Design was based on literature reviewed to propose conceptual constructs through the factors BGD and OIN. The methodology is descriptive, exploratory, correlational, and cross sectional. The Delphi Panel and Analytic Hierarchy Process (AHP) were used to get the main factors, the variables, and the final questionnaire of the m
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Tian, Juanjuan, Xiaoqian Song, and Jinsuo Zhang. "Spatial-Temporal Pattern and Driving Factors of Carbon Efficiency in China: Evidence from Panel Data of Urban Governance." Energies 15, no. 7 (2022): 2536. http://dx.doi.org/10.3390/en15072536.

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The improvement in city-level carbon efficiency (CE) is crucial for China to achieve its CO2 emission targets. Based on the panel data from 2003 to 2017, total factor CE values of 283 prefecture-level cities were measured using the super-efficiency SBM model. Through the exploratory spatial data analysis (ESDA), we found that the average city-level CE from 2003 to 2017 showed a “W”-type growth trend. Additionally, there are significant spatial heterogeneity and spatial dependency characteristics of city-level CE. The results of local spatial correlation analysis showed that the Low–Low cluster
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Roberto, G. Sagge Jr. "Exploring Students' Perceptions of Academic Integrity in the Digital Classroom through Exploratory Factor Analysis (EFA)." Indian Journal of Science and Technology 17, no. 46 (2024): 4907–20. https://doi.org/10.17485/IJST/v17i46.2384.

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Abstract <strong>Objectives:</strong>&nbsp;The research aims to develop a reliable tool for thoroughly understanding the multifaceted concept of academic integrity and establish a foundational model that can serve as a cornerstone for subsequent investigations into academic integrity within digital classrooms.&nbsp;<strong>Methods:</strong>&nbsp;A cross-sectional survey method was employed, involving 196 students from the College of Education of a state university in the Visayas region of the Philippines. The participants were students across year levels from the following programs: Bachelor o
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Cecchi, Fabiola, Natasha Viglianti, Marlon Rebelatto, et al. "The HORIZON III retrospective exploratory analysis: HER2 expression amplification in colorectal cancer." Journal of Clinical Oncology 41, no. 4_suppl (2023): 194. http://dx.doi.org/10.1200/jco.2023.41.4_suppl.194.

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194 Background: Although regularly used in breast and gastric cancer, HER2 testing is not routinely performed in colorectal cancer (CRC). Immunohistochemistry (IHC) and in situ hybridization (ISH) scoring have not been optimized for assessment of HER2 overexpression and amplification in CRC. Varying rates of HER2 overexpression (2%-11%) have been reported in previously untreated CRC (Wang World J Gastrointest Oncol 2019) and patients with advanced/metastatic CRC with HER2 amplification or overexpression respond poorly to current standard of care therapies (Sartore-Bianchi Oncologist 2019). We
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Charith, Krishnamoorthy, and Andrey Davydenko. "Informational Value of Dividend Initiations: Impact of Cash Dividends on Share Prices of Manufacturing Companies in Sri Lanka." International Journal of Economics and Finance 13, no. 3 (2021): 13–30. https://doi.org/10.5539/ijef.v13n3p13.

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<strong>Cite as:</strong>&nbsp;Charith, K., &amp; Davydenko, A. (2021). Informational value of dividend initiations: Impact of cash dividends on share prices of manufacturing companies in Sri Lanka.&nbsp;<em>International Journal of Economics and Finance, 13</em>(3), 13-30. https://doi.org/10.5539/ijef.v13n3p13 &nbsp; <strong>Abstract</strong> The shareholder wealth consists of dividends and capital gains. The former is considered to be risk averse, whereas the latter is perceived to be risky. The risk return trade off in these two returns drives the investor preference. The objective of a for
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Aksu, Beyza, Stefanie Wınd, and Mehmet Can Demir. "Harmonizing perspectives to understand attitudes: A mixed methods approach to crafting an assessment literacy attitude scale." International Journal of Assessment Tools in Education 11, no. 3 (2024): 424–44. http://dx.doi.org/10.21449/ijate.1440210.

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Assessment literacy's vital role in faculty effectiveness within higher education lacks sufficient tools for measuring faculty attitudes on this matter. Employing a sequential mixed-methods approach, this study utilized the theory of planned behavior to develop the Assessment Literacy Attitude Scale (ALAS) and evaluate its psychometric properties within the U.S. higher education context. The qualitative phase involved a literature review of relevant studies and existing self-report measures, interviews with stakeholders, and panel reviews to shape initial item development. Following the establ
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Rambe, Roosemarina Anggraini, Purmini, and Hutapia. "FENOMENA FLYPAPER EFFECT PADA PROVINSI YANG MENGALAMI PEMEKARAN DI INDONESIA." Media Ekonomi 31, no. 1 (2023): 115–28. http://dx.doi.org/10.25105/me.v31i1.18308.

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1)To analyze the effect of local revenue (PAD), resource sharing fund (DBH), general grants (DAU), and special grants (DAK) on the local government spending in blooming provinces in Indonesia. 2) To analyze the flypaper effect phenomenon in blooming provinces in Indonesia. This research is exploratory research. The data used is panel data, consisting of 25 blooming provinces from 2014-2020. The analysis method applied is panel data regression. The dependent variable is government spending, while the independent variables used are local revenue (PAD), resource sharing fund (DBH), general grants
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Reyes, William, Jesús Pinto, and Ricardo Hernández-Dzib. "The construction and validation of a Questionnaire of Gamification Skills in Teachers (QGST)." Interaction Design and Architecture(s) Journal - IxD&A, no. 53 (June 7, 2022): 7–26. https://doi.org/10.55612/s-5002-053-001.

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The objective of this study is to propose and validate a questionnaire&nbsp;that identifies gamification skills in teachers. In order to develop this&nbsp;instrument, a two-phase sequential exploratory design was used. In the&nbsp;qualitative phase, the specialized literature on gamification was reviewed, then&nbsp;the structure of the questionnaire, the dimensions and its indicators were&nbsp;obtained through the design of the items and the assessment of a panel of&nbsp;experts who validated the instrument. In the case of the quantitative phase, a&nbsp;pilot study was conducted with 203 teach
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Bassi, H., L. Misener, and A. M. Johnson. "Crowdsourcing for Research: Perspectives From a Delphi Panel." SAGE Open 10, no. 4 (2020): 215824402098075. http://dx.doi.org/10.1177/2158244020980751.

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Crowdsourcing, an open call for the public to collaborate and participate in problem solving, has been increasingly employed as a method in health-related research studies. Various reviews of the literature across different disciplines found crowdsourcing being used for data collection, processing, and analysis as well as tasks such as problem solving, data processing, surveillance/monitoring, and surveying. Studies on crowdsourcing tend to focus on its use of software, technology and online platforms, or its application for the purposes previously noted. There is need for further exploration
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King, Lydia, Andrew Flaus, Simone Coughlan, Emma Holian, and Aaron Golden. "GNOSIS: an R Shiny app supporting cancer genomics survival analysis with cBioPortal." HRB Open Research 5 (September 12, 2022): 8. http://dx.doi.org/10.12688/hrbopenres.13476.2.

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Exploratory analysis of cancer consortia data curated by the cBioPortal repository typically requires advanced programming skills and expertise to identify novel genomic prognostic markers that have the potential for both diagnostic and therapeutic exploitation. We developed GNOSIS (GeNomics explOrer using StatistIcal and Survival analysis in R), an R Shiny App incorporating a range of R packages enabling users to efficiently explore and visualise such clinical and genomic data. GNOSIS provides an intuitive graphical user interface and multiple tab panels supporting a range of functionalities,
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King, Lydia, Andrew Flaus, Simone Coughlan, Emma Holian, and Aaron Golden. "GNOSIS: an R Shiny app supporting cancer genomics survival analysis with cBioPortal." HRB Open Research 5 (January 18, 2022): 8. http://dx.doi.org/10.12688/hrbopenres.13476.1.

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Exploratory analysis of cancer consortia data curated by the cBioPortal repository typically requires advanced programming skills and expertise to identify novel genomic prognostic markers that have the potential for both diagnostic and therapeutic exploitation. We developed GNOSIS (GeNomics explOrer using StatistIcal and Survival analysis in R), an R Shiny App incorporating a range of R packages enabling users to efficiently explore and visualise such clinical and genomic data. GNOSIS provides an intuitive graphical user interface and multiple tab panels supporting a range of functionalities,
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Fauzan, Ahmad Rizki. "Comparative Analysis of the Stock Performance of Digital Banks and Conventional Banks in Indonesia." International Journal of Business Studies 7, no. 2 (2023): 60–71. http://dx.doi.org/10.32924/ijbs.v7i2.280.

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Digitalization in the banking sector shows enormous growth, and the rise of digital banks may be a solution to boost financial inclusion in Indonesia. In recent years, digital banks in Indonesia seem to attract the banking sector, which is reflected in the bank transformation. This study aims to compare digital and conventional banks' risk-adjusted stock performance in Indonesia using commonly used performance measure ratios, such as Sharpe, Treynor, Sortino, and Jensen. Panel data regression with performance ratios as the dependent variables was constructed in this study. The main outcome of
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Coad, Alex, and Gregory Scott. "High-Growth firms in Peru." Cuadernos de Economía 37, no. 75 (2018): 671–96. http://dx.doi.org/10.15446/cuad.econ.v37n75.69585.

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This exploratory research note investigates the frequency and activity of HighGrowth Firms (HGFs) in Peru using panel data on Peru's largest firms for the years 2001-2016. Firms in our dataset enjoyed strong growth in revenues during the period. Compared to other countries, HGFs are relatively common in Peru although the share they represent of all firms in the database decreased over the time span of our analysis. We confirm several previous findings, such as the heavy-tailed growth rates distribution, and the superior growth performance of small and young firms.
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