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Journal articles on the topic 'Internet Quantique'

Author: Grafiati

Published: 25 May 2024

Last updated: 31 July 2025

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1

Guo, Zenghua, and Boyu Zhu. "Does Mobile Internet Use Affect the Loneliness of Older Chinese Adults? An Instrumental Variable Quantile Analysis." International Journal of Environmental Research and Public Health 19, no. 9 (2022): 5575. http://dx.doi.org/10.3390/ijerph19095575.

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Based on the 2018 China Family Panel Studies (CFPS) data, we empirically analyze the effect, heterogeneity, quantile differences and influencing mechanisms of mobile Internet use on loneliness in the elderly. The study found that the loneliness of the elderly who used mobile Internet was 33.1% lower than that of the elderly who did not use the mobile Internet The study also passed the robustness test. There is heterogeneity in the effect of mobile Internet use on loneliness among the elderly of different ages, educational levels and marital status. Among them, the use of mobile Internet has a

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Zhan, Yunqiu, and Shuwen Yang. "Does internet use improve employment?——Empirical evidence from China." PLOS ONE 19, no. 4 (2024): e0301465. http://dx.doi.org/10.1371/journal.pone.0301465.

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Achieving comprehensive and high-quality employment is essential to achieving new levels of people’s well-being. The advancement of Internet technology not only affect the massiveness of employment, but also the quality of that. On the basis of constructing an employment quality evaluation index system, this article uses CLDS (China Labor-force Dynamics Survey) data to explore the impact of Internet use on the employment quality of workers and its underlying mechanisms. The results reveal that Internet use has a significant positive impact on improving the employment quality of workers. As the

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Choi, Baek-Young, Sue Moon, Rene Cruz, Zhi-Li Zhang, and Christophe Diot. "Quantile sampling for practical delay monitoring in Internet backbone networks." Computer Networks 51, no. 10 (2007): 2701–16. http://dx.doi.org/10.1016/j.comnet.2006.11.023.

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Parwodiwiyono, Suparna. "Kaitan Akses Internet dan Penyelesaian Tugas Sekolah Berdasarkan Regresi Kuantil Menuju Masyarakat 5.0." JARTIKA Jurnal Riset Teknologi dan Inovasi Pendidikan 3, no. 2 (2020): 342–50. http://dx.doi.org/10.36765/jartika.v3i2.283.

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Abstrak: Bagi generasi pasca milenial penggunaan internet sangat akrab tetapi dengan berbagai tujuan penggunaan. Penelitian ini ingin melihat keterkaitan penggunaan internet oleh penduduk yang sedang sekolah untuk kepentingan penyelesaian tugas sekolah di Indonesia untuk mendapatkan hasil belajar yang baik. Analisis berdasarkan data sekunder dari Survei Sosial Ekonomi Nasional tahun 2018. Hanya saja data yang didapatkan tidak simetris dengan adanya pencilan. Regresi kuantil digunakan untuk meminimumkan pengaruh dari pencilan yang ada. Penelitian mendapatkan hasil bahwa terdapat kaitan yang era

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Long, Cuihong, Jiajun Han, and Chengzhi Yi. "Does the Effect of Internet Use on Chinese Citizens’ Psychological Well-Being Differ Based on Their Hukou Category?" International Journal of Environmental Research and Public Health 17, no. 18 (2020): 6680. http://dx.doi.org/10.3390/ijerph17186680.

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This paper draws support from the 2018 wave of the China Family Panel Studies (CFPS 2018) and uses unconditional quantile regression, re-centered influence function (RIF) decomposition, linear structural equation modelling, extended regression modelling and censored regression to explore the heterogeneity of the impact of Internet use on the psychological well-being of Chinese non-agricultural and agricultural hukou holders. We find that Internet use better improves the psychological well-being of non-agricultural hukou holders, thereby widening the gap in psychological well-being between urba

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Rolland, G. "Etude des variations de rendement quantique interne d'un détecteur CCD en fonction de la temperature." Revue de Physique Appliquée 20, no. 9 (1985): 651–59. http://dx.doi.org/10.1051/rphysap:01985002009065100.

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Gao, Jiacheng, and Yue Liu. "Internet technology usage and female employment: Evidence from a Chinese general social survey." Economics and Finance Letters 10, no. 1 (2023): 57–68. http://dx.doi.org/10.18488/29.v10i1.3287.

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This study empirically analyzes the effect of internet technology usage on female employment and their wage income by constructing logit and quantile regression models to examine the moderating effect of years of education. The results show that internet technology usage significantly suppresses the likelihood of female employment and reduces their wage income before their years of education reach the target requirement but has a differential effect on the wage income of females at different levels. After females have reached their years of education target, internet technology usage significa

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Lohr, Luanne, and Timothy Park. "Demand for Private Marketing Expertise by Organic Farmers: A Quantile Analysis Based on Counts." Journal of Agricultural and Applied Economics 44, no. 2 (2012): 157–71. http://dx.doi.org/10.1017/s1074070800000249.

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We study the demand by organic farmers for technical advice using a quantile regression for the demand of organic farmers for consultations with private information providers. There is substantial heterogeneity in the impact of critical explanatory variables on consultations of organic farmer. Larger farm size has a positive effect on contacts, but the effect is absent for the highest number of consultations. Internet use has a positive marginal effect on visits to private information providers across each quantile, suggesting that expanded efforts to deliver programs through web-based resourc

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Antoine, Jean-Pierre. "Symétries en physique." Revue des questions scientifiques 190, no. 1-2 (2019): 7–26. http://dx.doi.org/10.14428/qs.v190i1-2.69423.

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Cet article passe en revue les multiples applications de la théorie des groupes aux problèmes de symétrie en physique. En physique classique, il s’agit surtout de la relativité : euclidienne, galiléenne, einsteinienne (relativité restreinte). Passant à la mécanique quantique, on remarque d’abord que les principes de base impliquent que l’espace des états d’un système quantique a une structure intrinsèque d’espace préhilbertien, que l’on complète ensuite en un espace de Hilbert. Dans ce contexte, la description de l’invariance sous un groupe G se base sur une représentation unitaire de G. On pa

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Rastogi, Krati, and Divya Lohani. "Edge Computing-Based Internet of Things Framework for Indoor Occupancy Estimation." International Journal of Ambient Computing and Intelligence 11, no. 4 (2020): 16–37. http://dx.doi.org/10.4018/ijaci.2020100102.

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Indoor occupancy estimation has become an important area of research in the recent past. Information about the number of people entering or leaving a building is useful in estimation of hourly sales, dynamic seat allocation, building climate control, etc. This work proposes a decentralized edge computing-based IoT framework in which the majority of the data analytics is performed on the edge, thus saving a lot of time and network bandwidth. For occupancy estimation, relative humidity and carbon dioxide concentration are used as inputs, and estimation models are developed using multiple linear

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Miranda-Soberanis, V. F., and T. W. Yee. "New Link Functions for Distribution–Specific Quantile Regression Based on Vector Generalized Linear and Additive Models." Journal of Probability and Statistics 2019 (May 7, 2019): 1–11. http://dx.doi.org/10.1155/2019/3493628.

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In the usual quantile regression setting, the distribution of the response given the explanatory variables is unspecified. In this work, the distribution is specified and we introduce new link functions to directly model specified quantiles of seven 1–parameter continuous distributions. Using the vector generalized linear and additive model (VGLM/VGAM) framework, we transform certain prespecified quantiles to become linear or additive predictors. Our parametric quantile regression approach adopts VGLMs/VGAMs because they can handle multiple linear predictors and encompass many distributions be

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Dewi, Martina Nurma, and Arie Damayanti. "The Role of Internet Usage on Gender Wage Gap: Evidence From Indonesia." Journal of Developing Economies 10, no. 1 (2025): 73–89. https://doi.org/10.20473/jde.v10i1.60467.

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This study analyzes the effect of internet usage on the gender wage gap within Indonesia’s labor market. Using data from the 2022 National Labor Force Survey (Sakernas), the research employs robust least square regression, quantile regression, and the Oaxaca-Blinder Decomposition Method to assess the differential effects of internet use on wages across genders. The findings indicate that internet usage in main job significantly increases wages for both men and women while also narrowing the gender wage gap which varies by income level and job type. This effect is more pronounced in white-colla

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He, Qiang, Xin Deng, Chuan Li, Zhongcheng Yan, and Yanbin Qi. "Do Internet Skills Increase Farmers’ Willingness to Participate in Environmental Governance? Evidence from Rural China." Agriculture 11, no. 12 (2021): 1202. http://dx.doi.org/10.3390/agriculture11121202.

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Environmental pollution is threatening the sustainable development of rural areas. Increasing farmers’ willingness to participate in environmental governance (FWPEG) can effectively reduce this threat. Fortunately, the internet can speed up the process. However, it is unclear whether and to what extent the mastery of internet skills will increase FWPEG. This study uses data from 3503 farmers in 30 provinces in mainland China. It uses the TE and IVQTE models to correct selection bias and quantitatively assess the impact of mastery of internet skills on FWPEG. The results show: (1) mastering int

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Bryson, Bethany P. "Polarizing the middle: internet exposure and public opinion." International Journal of Sociology and Social Policy 40, no. 1/2 (2019): 99–113. http://dx.doi.org/10.1108/ijssp-09-2019-0181.

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Purpose Research on opinion polarization in the USA repeatedly finds more divergence among politically privileged groups: respondents who are college educated, politically interested, party identified or have a liberal/conservative orientation. The purpose of this paper is to examine whether their excluded counterparts can be polarized by exposure to political information on the internet. Design/methodology/approach Quantile regression and visual analysis of raw data from the online and face-to-face samples in the 2012 and 2016 American National Election Studies (n=9,563) assessed the impact o

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Chen, Yuyan, Lin Wu, and Zenghua Guo. "Does Mobile Internet Use Affect the Depression of Young Chinese Adults? An Instrumental Variable Quantile Analysis." International Journal of Environmental Research and Public Health 19, no. 8 (2022): 4473. http://dx.doi.org/10.3390/ijerph19084473.

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Background: With the advancement of the digital age, the links between mobile Internet use (MIU) and mental health have attracted the attention of scholars. This paper focuses on the relationship between MIU and depression across the entire distribution of young adults’ depression. Methods: Based on nationally representative data from the 2018 China Family Panel Studies (CFPS), we explore whether and to what extent MIU affects depression in young adults in China through instrumental variables. In addition, we employ a quantile regression approach to explore the depression–MIU gradients and exa

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Liu, Yue, and Jiacheng Gao. "The Influence of Home Computer and Internet on Junior High School Students' Cognitive Ability: Evidence from China Education Panel Survey." Education and Self Development 20, no. 1 (2025): 12–26. https://doi.org/10.26907/esd.20.1.02.

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Based on the China Education Panel Survey 2017-2018 school year baseline data and 2018-2019 school year follow-up data, this paper forms short panel data, and uses the unconditional fixed effect panel quantile regression method to discuss the impact of home computer and Internet on junior high school students' cognitive ability. The results show that: firstly, home computer and internet have significant improvement effect on junior high school students with moderate cognitive ability. Secondly, Parents' discipline on junior high school students' use of computers and the Internet has an inverte

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Takele, Kasahun, Temesgen Zewotir, and Denise Uwamariya. "Quantile Regression for Identifying the Determinants of Child Malnutrition in Ethiopia." African Journal of Applied Statistics 7, no. 1 (2020): 755–76. http://dx.doi.org/10.16929/ajas/2020.755.241.

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Child malnutrition is serious health, socioeconomic and demographic problems in Ethiopia. The objective of this study was to investigate the determinants for childhood malnutrition in Ethiopia. We used the 2016 Ethiopian Demographic and Health Survey data. Quantile regression model with particular emphasis on the 10th , 25th, 50th, 75th and 90th percentiles were used to identify the risk factors of malnutrition at a more comprehensive spectrum. The results show that the child's age, sex, preceding birth interval, birth order, breast feeding, mother's body mass index, use of internet mother's e

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Deh, Amon Aniké. "Système de gouvernance interne et performance des banques de l’Union Économique et Monétaire Ouest-Africaine." Recherches en Sciences de Gestion N° 157, no. 4 (2023): 95–120. http://dx.doi.org/10.3917/resg.157.0095.

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Cette recherche vise à analyser l’impact des mécanismes internes de gouvernance sur la performance des banques de l’Union Économique et Monétaire Ouest-Africaine (UEMOA). L’approche méthodologique porte sur un panel dynamique en système (GMM) et une régression quantile. L’échantillon est composé de quatre-vingt-trois banques des huit pays de l’UEMOA sur les périodes de 2012 à 2019. Nos résultats sur la base d’une analyse affinée des banques par pays, montrent une volatilité et une dichotomie de l’influence de certaines variables des mécanismes internes de gouvernance sur la performance de ces

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Gao, Jiacheng, and Yue Liu. "Has Internet Usage Really Narrowed the Gender Wage Gap?: Evidence from Chinese General Social Survey Data." Human Behavior and Emerging Technologies 2023 (February 2, 2023): 1–15. http://dx.doi.org/10.1155/2023/7580041.

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Based on the data from a sample of 4832 from the Chinese General Social Survey in 2018, this study examines the impact of Internet usage on the wage equation for males and females by using the robust least squares regression method, the threshold regression method, and the quantile regression method and decomposes the gender wage gap on this basis by using the RIF regression decomposition method. The findings show that, firstly, in either linear or nonlinear effects, Internet usage has a significant wage premium effect on the male wage equation, and this premium effect increases as male wage i

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Tsoi, Kelvin K. F., Nicholas B. Chan, Karen K. L. Yiu, Simon K. S. Poon, Bryant Lin, and Kendall Ho. "Machine Learning Clustering for Blood Pressure Variability Applied to Systolic Blood Pressure Intervention Trial (SPRINT) and the Hong Kong Community Cohort." Hypertension 76, no. 2 (2020): 569–76. http://dx.doi.org/10.1161/hypertensionaha.119.14213.

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Visit-to-visit blood pressure variability (BPV) has been shown to be a predictor of cardiovascular disease. We aimed to classify the BPV levels using different machine learning algorithms. Visit-to-visit blood pressure readings were extracted from the SPRINT study in the United States and eHealth cohort in Hong Kong (HK cohort). Patients were clustered into low, medium, and high BPV levels with the traditional quantile clustering and 5 machine learning algorithms including K-means. Clustering methods were assessed by Stability Index. Similarities were assessed by Davies-Bouldin Index and Silho

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Casinillo, Leomarich. "Quantile regression model on how logical and rewarding is learning mathematics in the new normal." Palawan Scientist 16, no. 1 (2024): 48–57. http://dx.doi.org/10.69721/tps.j.2024.16.1.06.

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Learning mathematics through distance education can be challenging, with the “logical” and “rewarding” nature proving difficult to measure. This article aimed to articulate an argument explaining the “logical” and “rewarding” nature of online mathematics learning, elucidating their causal factors. Existing data from the literature that involving students at Visayas State University, Philippines, were utilized in this study. The study used statistical measures to capture descriptions from the data, and quantile regression analysis was employed to forecast the predictors of the logicality and re

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Li, Huan, Lanjing Yi, Bo Tang, Hua Lu, and Christian S. Jensen. "Efficient and error-bounded spatiotemporal quantile monitoring in edge computing environments." Proceedings of the VLDB Endowment 15, no. 9 (2022): 1753–65. http://dx.doi.org/10.14778/3538598.3538600.

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Underlying many types of data analytics, a spatiotemporal quantile monitoring (SQM) query continuously returns the quantiles of a dataset observed in a spatiotemporal range. In this paper, we study SQM in an Internet of Things (IoT) based edge computing environment, where concurrent SQM queries share the same infrastructure asynchronously. To minimize query latency while providing result accuracy guarantees, we design a processing framework that virtualizes edge-resident data sketches for quantile computing. In the framework, a coordinator edge node manages edge sketches and synchronizes edge

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Li, Huan, Lanjing Yi, Bo Tang, Hua Lu, and Christian S. Jensen. "Efficient and error-bounded spatiotemporal quantile monitoring in edge computing environments." Proceedings of the VLDB Endowment 15, no. 9 (2022): 1753–65. https://doi.org/10.14778/3538598.3538600.

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Underlying many types of data analytics, a spatiotemporal quantile monitoring (SQM) query continuously returns the quantiles of a dataset observed in a spatiotemporal range. In this paper, we study SQM in an Internet of Things (IoT) based edge computing environment, where concurrent SQM queries share the same infrastructure asynchronously. To minimize query latency while providing result accuracy guarantees, we design a processing framework that virtualizes edge-resident data sketches for quantile computing. In the framework, a coordinator edge node manages edge sketches and synchronizes edge

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Zhang, Hai Liang, and Ming Guo. "On the Identifying of Influencing Factors of E-Commerce Based on the Quantile Regression." Applied Mechanics and Materials 411-414 (September 2013): 2276–79. http://dx.doi.org/10.4028/www.scientific.net/amm.411-414.2276.

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In this paper, the semi-annual data such as the number of mobile users, the total amount of social logistics, the total amount of the private placement and financing from 2000 to 2012 in China. The following conclusions are drawn. The mobile internet market, the financial capital market and the logistics service market are main factors influencing the development of e-commerce in China. From a dynamic perspective, these influencing factors would become differentiated. Along with the gradually becoming booming and mature of the e-commerce market, the mobile communication market and the financia

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Lakshmi, G. S. Devi. "Towards Contrastive and Data Driven Cloud Data Center Energy Prediction using Regression Analysis." International Journal for Research in Applied Science and Engineering Technology 12, no. 4 (2024): 5492–96. http://dx.doi.org/10.22214/ijraset.2024.61234.

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Abstract: Data centers are the backbone of todays Internet and cloud computing systems. Due to the increasing demand for electrical energy by data centers, it is necessary to account for the vast amount of energy they consume. Energy modeling and prediction of data centers plays a pivotal role in this context. In this study, we address the challenge of predicting energy consumption in cloud data centers, crucial for managing their significant electricity demand. Despite numerous existing methods, there remains a lack of robust methodologies. To fill this gap, we propose a novel approach that i

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Zaighum, Isma, Ameenullah Aman, Arshian Sharif, and Muhammad Tahir Suleman. "Do energy prices interact with global Islamic stocks? Fresh insights from quantile ARDL approach." Resources Policy 72 (August 2021): 102068. http://dx.doi.org/10.1016/j.resourpol.2021.102068.

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Hsieh, Lu-Chen, and Ying-Shing Lin. "Inflows and outflows of mutual funds: a performance comparison of funds offered by traditional banks, insurance companies and mutual fund companies." Investment Management and Financial Innovations 15, no. 4 (2018): 258–72. http://dx.doi.org/10.21511/imfi.15(4).2018.21.

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The transformations in internet technology and financial innovation have led to the prevalence of direct finance, causing indirect finance to contract and concerns among traditional banks and insurance channel operators to seek transformation to innovate traditional services with advanced technology applications. The research compares the sales revenue flows of traditional banks, insurance companies, and mutual fund institutions, using quantile regression methods with five mutual fund factors: Jensen’s indexes, expenses, risks, sizes, and turnover rates. The sample statistics from 2001 to 2016

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Dirir, Sadik Aden. "Performing a Quantile Regression to Explore the Financial Inclusion in Emerging Countries and Lessons African Countries Can Learn from Them." European Journal of Development Studies 2, no. 5 (2022): 1–9. http://dx.doi.org/10.24018/ejdevelop.2022.2.5.153.

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Financial inclusion is a concept that promotes the accessibility and admittance of people and small businesses to financial assistance such as credit, banking features, and insurance items. There is a significant poof that adequate financial services have advantageous gains for women, young people, clients, and underprivileged individuals. Efficient and sound expansion of financial inclusion in emerging countries is frequently upheld by adequate strategies, innovative reforms, and favorable regulations that ought to help small firms, poor and marginalized individuals, and empower communities.

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Volkmer, Sara Alida, Susanne Gaube, Martina Raue, and Eva Lermer. "Troll story: The dark tetrad and online trolling revisited with a glance at humor." PLOS ONE 18, no. 3 (2023): e0280271. http://dx.doi.org/10.1371/journal.pone.0280271.

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Internet trolling is considered a negative form of online interaction that can have detrimental effects on people’s well-being. This pre-registered, experimental study had three aims: first, to replicate the association between internet users’ online trolling behavior and the Dark Tetrad of personality (Machiavellianism, narcissism, psychopathy, and sadism) established in prior research; second, to investigate the effect of experiencing social exclusion on people’s motivation to engage in trolling behavior; and third, to explore the link between humor styles and trolling behavior. In this onli

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Luo, Jing. "Short-term Traffic Flow Prediction Method in Bayesian Networks Based on Quantile Regression." Promet - Traffic&Transportation 32, no. 6 (2020): 821–35. http://dx.doi.org/10.7307/ptt.v32i6.3394.

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With the popularization of intelligent transportation system and Internet of vehicles, the traffic flow data on the urban road network can be more easily obtained in large quantities. This provides data support for shortterm traffic flow prediction based on real-time data. Of all the challenges and difficulties faced in the research of short-term traffic flow prediction, this paper intends to address two: one is the difficulty of short-term traffic flow prediction caused by spatiotemporal correlation of traffic flow changes between upstream and downstream intersections; the other is the influe

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Casinillo, Leomarich F. "Quantile Regression Analysis for Students’ Difficulty Level in Learning Statistics Online." JPI (Jurnal Pendidikan Indonesia) 12, no. 4 (2023): 607–14. http://dx.doi.org/10.23887/jpiundiksha.v12i4.66752.

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Statistics learning in the time of distance education makes students uneasy due to the difficulties in the learning environment and processes. This article aims to analyze the level of difficulty faced by students in statistics distance education and captures the causal factors affecting it. Cross-sectional secondary data were used from a current study in literature and described by standard statistical measures. The study utilized the level of difficulty in learning statistics during online setup as the dependent variable in the form of a scale of 1 to 10. The study used standard descriptive

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Drapella, Antoni. "A wrong advice concerning the test F Snedecor." Wiadomości Statystyczne. The Polish Statistician 61, no. 3 (2016): 61–67. http://dx.doi.org/10.5604/01.3001.0014.0957.

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Readers of some domestic statistical textbooks and Internet publications related to F test are advised to accomplish the following test scheme: After having sample variances calculated use quotient of greater to smaller of them as the test statistics. Then take 1 quantile of the F distribution as the critical value. This paper identifies this advice to be wrong and gives reason for it: test statistics in question definitely does not follow the F distribution. So, derivation of the proper test statistics named WF as well as the method of calculating WF' s cumulative distribution function is g

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Malik, Fania, Jihad Lukis Panjawa, Fitrah Sari Islami, and Rr Retno Sugiharti. "Economic Growth and Its Determinants in Less-Developed Regions: A Panel Quantile Approach." Journal of Developing Economies 10, no. 1 (2025): 106–31. https://doi.org/10.20473/jde.v10i1.59954.

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Economic growth is an important phenomenon because it is closely related to the ultimate goal of development, namely community welfare. However, not all regions in Indonesia have experienced an increase in economic growth. Less-developed regions are among those with low economic growth. This study aims to analyze the determinant of economic growth in 40 less-developed regions of Indonesia during 2015-2022 using a quantile panel regression analysis tool. The results show that the fixed capital formation, population, and human development have a significant positive effect on economic growth at

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Shakya, Dayana, Nawi Ng, Natalia Oli, Abhinav Vaidya, and Alexandra Krettek. "Cardiovascular health knowledge, attitude and practice among school-going adolescents and the availability of digital prerequisites for health education in Bhaktapur, Nepal." PLOS One 20, no. 6 (2025): e0323698. https://doi.org/10.1371/journal.pone.0323698.

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Background In Nepal, the proportion of annual deaths from cardiovascular disease (CVD) increased from 12% in 1990 to 22% in 2021. Although CVD manifests in adulthood, exposure to risk factors begins early in life. In Nepal, a high prevalence of risk factors combined with limited knowledge about cardiovascular health warrants a life course approach. One strategy could be a digitalized health education targeted at adolescents to prevent future CVDs. Methods We conducted a cross-sectional survey to assess adolescents’ knowledge, attitude and practice (KAP) regarding cardiovascular health and expl

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Casinillo, Leomarich F., and Emily L. Casinillo. "Analyzing the difficulty level in learning mathematics online using a quantile regression approach." EDUCATUM Journal of Science, Mathematics and Technology 10, no. 2 (2023): 38–46. http://dx.doi.org/10.37134/ejsmt.vol10.2.5.2023.

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Online learning is a difficult type of educational process due to its limitations, particularly in college mathematics courses. The essential aim of this article is to elucidate the students' difficulty level in learning mathematics amid online learning and predict its statistically significant influencing factors. The data used in this study is secondary from a paper in the mathematics education literature on the form of cross-sectional. The data were summarized employing some descriptive measures and regression modeling as an inference. The result of the study showed that, on average, studen

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Enache, Andreea, and Jean-Pierre Florens. "IDENTIFICATION AND ESTIMATION IN A THIRD-PRICE AUCTION MODEL." Econometric Theory 36, no. 3 (2019): 386–409. http://dx.doi.org/10.1017/s0266466618000440.

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The first novelty of this paper is that we show global identification of the private values distribution in a sealed-bid third-price auction model using a fully nonparametric methodology. The second novelty of the paper comes from the study of the identification and estimation of the model using a quantile approach. We consider an i.i.d. private values environment with risk-averse bidders. In the first place, we consider the case where the risk-aversion parameter is known. We show that the speed of convergence in process of our nonparametric estimator produces at the root-n parametric rate, an

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Dong, Zhang, and Sana Ullah. "Towards a Green Economy in China? Examining the Impact of the Internet of Things and Environmental Regulation on Green Growth." Sustainability 15, no. 16 (2023): 12528. http://dx.doi.org/10.3390/su151612528.

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The idea of green growth stresses the necessity for economic expansion while resolving environmental issues, notably climate change. The Internet of Things (IoT) and environmental regulations have the potential to support green growth. Therefore, this study intends to examine the empirical link between the IoT, environmental regulations, and green growth in China by utilizing the autoregressive distributed lag (ARDL) and quantile autoregressive distributed lag (QARDL) methods to analyze data from 1997 to 2021. Data are obtained from reputable local and international sources like the Organisati

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Zhang, Wei, Yan-Chun Zhu, Jian-Bo Wen, and Yi-Jie Zhuang. "Growth and Firm Size Distribution." Journal of Electronic Commerce in Organizations 14, no. 2 (2016): 61–73. http://dx.doi.org/10.4018/jeco.2016040105.

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Studies on the firm's size distribution (FSD) can set a good foundation to know about the growth path and mechanism of e-commerce firms. The purpose of this paper is to understand features of the China's listed e-commerce firms by testing Gibrat's law and Zipf's law within the Internet sectors. From a macroscopic perspective, with the approach of OLS estimation, Zipf's coefficient of the FSD is calculated to test whether Zipf's law holds. From a microscopic perspective, the relationship between e-commerce firm size and growth is explored by quantile regression method. The results indicate that

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Wang, Su Huan, and Jian Yin. "Color Filter Based on Image ROI Extraction." Applied Mechanics and Materials 246-247 (December 2012): 1121–24. http://dx.doi.org/10.4028/www.scientific.net/amm.246-247.1121.

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With the rapid development of Internet, more and more enterprises establish business sites to achieve the purpose of online transactions. Taking taobao.com for example, hundreds of millions of goods trade on the trading platform. In front of the huge commodity image database, extraction of image features is very convenient for people to find out images of user requirement. This paper focus mainly on the color feature of images. Firstly, we segment ROI of images using grabCut algorithm; secondly, we extract primary color of images by using dominant color descriptor of MPEG 7; Thirdly, we adopt

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Sing, Ting Zhao, and Norhashidah Awang. "Determinants of hotel room price in Penang, Malaysia: Evidence from multiple linear regression and quantile regression." International Journal Artificial Intelligent and Informatics 2, no. 2 (2022): 79–85. http://dx.doi.org/10.33292/ijarlit.v2i2.37.

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Since Penang, Malaysia was recognized and given World Heritage status by UNESCO in year 2008, the growth in tourist arrivals has been found increasing. More hotels are seen mushrooming to accommodate for the increasing number of hotel guests. Surprisingly, hotel room price in Penang are found to vary largely across different hotels despite the close proximity. This study aims to examine the significant hotel attributes associated with the hotel room price in Penang. The data are about 83 different hotels in Penang and are obtained from an internet hotel reservation website and the attribute, l

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Özyılmaz, Ayfer, and Yüksel Bayraktar. "Internal Migrations as a Driving Force of Regional Disintegration: An Empirical Analysis of NUTS-2 Regions in Turkey." Journal of Humanity and Society (insan & toplum) 11, no. 3 (2021): 215–48. http://dx.doi.org/10.12658/m0632.

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Internal migrations, which involve population movements within the borders of a country for economic, political or social reasons, is seen as both a cause and a result of regional imbalances. In this framework, the effect increasing internal migrations have on developed and underdeveloped regions may differ through the effect of the different socio-cultural and economic conditions between regions. The aspect of imbalance is directly related to the extent to which migration affects parameters such as wage, production, consumption, human capital levels, entrepreneurial migration, unemployment, a

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Liu, Huimeng, Yutong Wang, Binyan Zhang, et al. "Preference for Stronger Taste Associated with a Higher Risk of Hypertension: Evidence from a Cross-Sectional Study in Northwest China." International Journal of Hypertension 2022 (November 22, 2022): 1–11. http://dx.doi.org/10.1155/2022/6055940.

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Background. Dietary modulation is a primary lifestyle approach for reducing the risk of hypertension. However, evidence of the potential role that a dietary taste preference plays in the risk of hypertension remains limited. Methods. A cross-sectional analysis was conducted based on the Shaanxi baseline survey of the Regional Ethnic Cohort Study. We used self-reported salt consumption and intensity preferences for sourness and spiciness to calculate the taste preference score, which was categorized into bland, moderate, and strong. A generalized linear mixed model and quantile regression were

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Li, Li, Qifa Song, and Xi Yang. "K-means clustering of overweight and obese population using quantile-transformed metabolic data." Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy Volume 12 (August 2019): 1573–82. http://dx.doi.org/10.2147/dmso.s206640.

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Awan, Ashar, Kashif Raza Abbasi, Soumen Rej, Arunava Bandyopadhyay, and Kangjuan Lv. "The impact of renewable energy, internet use and foreign direct investment on carbon dioxide emissions: A method of moments quantile analysis." Renewable Energy 189 (April 2022): 454–66. http://dx.doi.org/10.1016/j.renene.2022.03.017.

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Xie, Ruihang, Haina Zhang, Hongtao Li, Wenzheng Liu, Shaolong Sun, and Tao Zhang. "High-speed rail passenger flow prediction based on crossformer and quantile regression: A deep learning approach assisted by internet search indices." Measurement 242 (January 2025): 116189. http://dx.doi.org/10.1016/j.measurement.2024.116189.

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Byaro, Mwoya, Anicet Rwezaula, and Nicholaus Ngowi. "Does internet use and adoption matter for better health outcomes in sub-Saharan African countries? New evidence from panel quantile regression." Technological Forecasting and Social Change 191 (June 2023): 122445. http://dx.doi.org/10.1016/j.techfore.2023.122445.

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Devi, S. Suguna, and A. Bhuvaneswari. "Quantile Regressive Fish Swarm Optimized Deep Convolutional Neural Learning for Reliable Data Transmission in IoV." International journal of Computer Networks & Communications 13, no. 2 (2021): 81–97. http://dx.doi.org/10.5121/ijcnc.2021.13205.

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Route path identification on the Internet of Vehicles (IoV) is complicated due to the nature of high dynamic mobility, bandwidth constraints, and traffic load. A vehicle present on the IoV communicates with each other to find the status of the road and location of other vehicles for reliable data transmission. However, the existing routing algorithm does not effectively improve the packet delivery ratio and reduce the delay. To resolve these issues, A Quantile Regressive Fish Swarm Optimized Deep Convolutional Neural Learning (QRFSODCNL) technique is introduced reliable data transmission with

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Khakiki, Diana Noviani, and Mohammad Faizal Amir. "DAPIC Problem-solving Process Towards Elementary Students’ Statistical Literacy." JPI (Jurnal Pendidikan Indonesia) 12, no. 4 (2023): 722–31. http://dx.doi.org/10.23887/jpiundiksha.v12i4.67310.

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Statistics learning in the time of distance education makes students uneasy due to the difficulties in the learning environment and processes. This article aims to analyze the level of difficulty faced by students in statistics distance education and captures the causal factors affecting it. Cross-sectional secondary data were used from a current study in literature and described by standard statistical measures. The study utilized the level of difficulty in learning statistics during online setup as the dependent variable in the form of a scale of 1 to 10. The study used standard descriptive

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Raptou, Elena, and Georgios Papastefanou. "Analyzing the Influence of Wine and Beer Drinking, Smoking, and Leisure Time Screen Viewing Activity on Body Weight: A Cross-Sectional Study in Germany." Nutrients 13, no. 10 (2021): 3553. http://dx.doi.org/10.3390/nu13103553.

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The increasing global prevalence of overweight and obesity highlights an urgent need to explore modifiable obesogenic factors. This study investigated the impact of lifestyle factors, such as beer and wine drinking, cigarette smoking, and leisure time screen viewing activities, on body weight and the development of obesity. Individual level data were selected from a random sample of 3471 German adults using a two-stage disproportionate random sampling procedure. The empirical analysis employed a two-stage equations system and combined the endogenous treatment effects model with the quantile re

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Dudás, Gábor, Tamás Kovalcsik, György Vida, Lajos Boros, and Gyula Nagy. "Price determinants of Airbnb listing prices in Lake Balaton Touristic Region, Hungary." European Journal of Tourism Research 24 (May 7, 2020): 2410. http://dx.doi.org/10.54055/ejtr.v24i.412.

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The aim of the paper was to investigate the impact of different accommodation attributes on Airbnb listing prices in a touristic area. The study applied hedonic price modeling utilizing a sample of 2417 Airbnb accommodation rental offers in the Lake Balaton Touristic Region in Hungary. Our results revealed that property-related attributes significantly influence Airbnb prices although the magnitude of these effects is very diverse and complex. The OLS findings showed that the provision of air conditioning, free internet, and free parking are the main determinants of Airbnb price in the sample

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