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Journal articles on the topic 'Influential observation'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

LING, YUN, STEWART J. ANDERSON, RICHARD A. BILONICK, GADI WOLLSTEIN, and JOEL S. SCHUMAN. "Influence diagnostics for multivariate growth curve models." Journal of Statistical Research 51, no. 1 (2017): 1–16. http://dx.doi.org/10.47302/jsr.2017510101.

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Research has shown that in mixed effect longitudinal models, influential observations can have a large effect on the estimates of subject-specific parameters. Furthermore, they cannot always be detected by the classical Cook’s distance due to potentially large between subject variation. Thus, influential observations should be approached by conditioning on the subjects. However, no rigorous approach has been developed for influential observation detection for multivariate longitudinal mixed models where more than one response is measured for each subject at each time point. We propose a multiv

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Cook, R. Dennis. "Detection of Influential Observation in Linear Regression." Technometrics 42, no. 1 (2000): 65–68. http://dx.doi.org/10.1080/00401706.2000.10485981.

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Budhlakoti, Neeraj, Anil Rai, and D. C. Mishra. "Effect of influential observation in genomic prediction using LASSO diagnostic." Indian Journal of Agricultural Sciences 90, no. 6 (2020): 1155–59. http://dx.doi.org/10.56093/ijas.v90i6.104789.

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Detection of influential observation is one of the crucial steps of pre-processing to identify suspicious elements of data that may be due to error or some other unknown source. Several statistical measures are developed for detection of influential observation but still challenges are there to detect a true influential observation for high dimension data like gene expression, genotyping data. In this article we have demonstrated the effect of influential observation on genomic prediction accuracy by using recently proposed LASSO diagnostic, i.e. Df-Model, Df-Regpath, Df-Cvpath, Df-Lambda and

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Mulry, Mary H., Broderick E. Oliver, and Stephen J. Kaputa. "Detecting and Treating Verified Influential Values in a Monthly Retail Trade Survey." Journal of Official Statistics 30, no. 4 (2014): 721–47. http://dx.doi.org/10.2478/jos-2014-0045.

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Abstract In survey data, an observation is considered influential if it is reported correctly and its weighted contribution has an excessive effect on a key estimate, such as an estimate of total or change. In previous research with data from the U.S. Monthly Retail Trade Survey (MRTS), two methods, Clark Winsorization and weighted M-estimation, have shown potential to detect and adjust influential observations. This article discusses results of the application of a simulation methodology that generates realistic population time-series data. The new strategy enables evaluating Clark Winsorizat

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Nascimento, A. D. C., G. J. A. Amaral, B. B. Achic, and J. T. M. Cruz. "Influential observation in complex normal data for problems in allometry." Communications in Statistics - Theory and Methods 45, no. 9 (2016): 2714–29. http://dx.doi.org/10.1080/03610926.2014.889165.

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Jahanshahloo, G. R., F. Hosseinzadeh, N. Shoja, G. Tohidi, and S. Razavyan. "A method for detecting influential observation in radial DEA models." Applied Mathematics and Computation 147, no. 2 (2004): 415–21. http://dx.doi.org/10.1016/s0096-3003(02)00735-x.

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Qanbar, Alaa Abdulazeez, and Zakariya Yahya Algamal. "Improving Support vector machine for Imbalanced big data classification." Journal of Intelligent Systems and Internet of Things 11, no. 2 (2024): 22–29. http://dx.doi.org/10.54216/jisiot.110202.

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A significant proportion of one type of pattern and a relatively small quantity of another type of pattern can be found in many unbalanced real data sets. In addition, finding significant observations and excluding influential observations is effectively accomplished through diagnostic analysis. Support vector machines (SVM), a common classification technique, perform poorly on imbalanced datasets and when influential observations exist. In this research, the pigeon optimization algorithm as a metaheuristic algorithm is employed to address the influence observation issues in SVM. Experiments a

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Jian-Xin Pan and Kai-Tai Fang. "Influential observation in the growth curve model with unstructured covariance matrix." Computational Statistics & Data Analysis 22, no. 1 (1996): 71–87. http://dx.doi.org/10.1016/0167-9473(95)00037-2.

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9

Hoaglin, David C. "A Brief Introduction to Influence Diagnostics in Regression." International Journal of Technology Assessment in Health Care 7, no. 2 (1991): 227–34. http://dx.doi.org/10.1017/s0266462300005122.

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AbstractStatistical analyses that involve regression methods often encounter data in which some observations have substantial influence. This article presents a nontechnical discussion of influence and of two techniques, based on leaving out each individual observation in turn, for diagnosing influential data. An example illustrates the techniques in an analysis of recurrence rates in endoscopic treatment of bleeding peptic ulcers.

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Kushner, Irving. "The 4 Humors Erythrocyte Sedimentation: The Most Influential Observation in Medical History." American Journal of the Medical Sciences 346, no. 2 (2013): 154–57. http://dx.doi.org/10.1097/maj.0b013e31826cad55.

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Kim, Jonathan Sungho. "A Preliminary Study of Influential Observation Measurement in K-Means Clustering Procedure." Australasian Marketing Journal (AMJ) 7, no. 2 (1999): 15–22. http://dx.doi.org/10.1016/s1441-3582(99)70212-0.

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An, X. Q., S. X. Zhai, M. Jin, S. L. Gong, and Y. Wang. "Tracking influential haze source areas in North China using an adjoint model, GRAPES–CUACE." Geoscientific Model Development Discussions 8, no. 8 (2015): 7313–45. http://dx.doi.org/10.5194/gmdd-8-7313-2015.

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Abstract. Based upon the adjoint theory, the adjoint of the aerosol module in the atmospheric chemical modeling system GRAPES–CUACE (Global/Regional Assimilation and PrEdiction System coupled with the CMA Unified Atmospheric Chemistry Environment) was developed and tested for its correctness. Through statistic comparison, BC (black carbon aerosol) concentrations simulated by GRAPES–CUACE were generally consistent with observations from Nanjiao (one urban observation station) and Shangdianzi (one rural observation station) stations. To track the most influential emission-sources regions and the

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Pan, Jian-Xin. "INFLUENTIAL OBSERVATION IDENTIFICATION IN THE GROWTH CURVE MODEL WITH RAO'S SIMPLE COVARIANCE STRUCTURE." Communications in Statistics - Theory and Methods 31, no. 5 (2002): 813–31. http://dx.doi.org/10.1081/sta-120003654.

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Bagheri, Arezoo, M. Habshah, and R. H. M. R. Imon. "A Novel Collinearity-Influential Observation Diagnostic Measure Based on a Group Deletion Approach." Communications in Statistics - Simulation and Computation 41, no. 8 (2012): 1379–96. http://dx.doi.org/10.1080/03610918.2011.600497.

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Andriani, Agis, Rika Kartika, Nita Sari Narulita Dewi, and Edy Suroso. "An Indonesian Bilingual Child Development: Highlighting the Influential Factors and Strategies." AL-ISHLAH: Jurnal Pendidikan 14, no. 2 (2022): 1541–52. http://dx.doi.org/10.35445/alishlah.v14i2.1752.

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Bilingual children are always interesting to be studied because they might have different uniqueness in experiencing their language development. Eleven years old Indonesian participant in this research experienced to have a special condition which makes her difficult to focus, but then, exposed to more than one language since she was a young age. Along with the proper parenting styles, this study gives empirical insight into the factors and strategies that contributed to maximising the children’s language development. Data were taken from observation of the video taken from the participant 3-4

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Yu, Huizhen, Hongli Wang, Zhiyong Meng, Mu Mu, Xiang-Yu Huang, and Xin Zhang. "A WRF-Based Tool for Forecast Sensitivity to the Initial Perturbation: The Conditional Nonlinear Optimal Perturbations versus the First Singular Vector Method and Comparison to MM5." Journal of Atmospheric and Oceanic Technology 34, no. 1 (2017): 187–206. http://dx.doi.org/10.1175/jtech-d-15-0183.1.

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AbstractA forecast sensitivity to initial perturbation (FSIP) analysis tool for the WRF Model was developed. The tool includes two modules respectively based on the conditional nonlinear optimal perturbation (CNOP) method and the first singular vector (FSV) method. The FSIP tool can be used to identify regions of sensitivity for targeted observation research and important influential weather systems for a given forecast metric.This paper compares the performance of the FSIP tool to its MM5 counterpart, and demonstrates how CNOP, local CNOP (a kind of conditional nonlinear suboptimal perturbati

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Mohd Ariffin, Mohd Shazwan. "EMERGING STUDIES AMONG FAMILY CONTROLLED FIRMS." UNIMAS Review of Accounting and Finance 4, no. 1 (2020): 92–112. http://dx.doi.org/10.33736/uraf.2776.2020.

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This study maps and analyses the bibliometric analysis of family-controlled firms among Malaysian listed companies based on observation from article title on September 23, 2020. We examine the timeframe of publication, subject areas, influential affiliation, frequent keywords and the importance of network visualization maps. Thus, influential contributions, university affiliations and research networks are discussed. The review examines 49 documents from 65 subject areas, indexed in the Scopus and Web of Science databases between 2006 and 2020. Interestingly, there is an emerging development o

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Amiruddin, Sartika, Herman Dem Dema, and Haeruddin Syarifuddin. "TATA KELOLA PEMERINTAHAN DESA BINA BARU BERBASIS E-GOVERNMENT DALAM MENINGKATKAN PELAYANAN PUBLIK DI ERA INDUSTRI 4.0." PRAJA: Jurnal Ilmiah Pemerintahan 9, no. 3 (2021): 184–91. http://dx.doi.org/10.55678/prj.v9i3.515.

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This study aims to determine the governance of Bina Baru Village, Kulo District, based on E-Government in improving public services in the Industrial Era 4.0 and to find out the inhibiting factors for E-Government-based public services in the Industrial Era 4.0 in Bina Baru Village, Kulo District, Sidenreng Rappang Regency. . The research population was 329 people/person and the sample was 49 people/person. The sampling technique used is purposive sampling. This type of research is descriptive quantitative. The data collection techniques used are observation, library research, questionnaires o

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Atai, Farrouz, Mohammad Akvan, and Mehdi Najafi Afra. "Examining the Core Elements of Popper's Falsifiability Perspective and Their Compatibility." Interdisciplinary Studies in Society, Law, and Politics 4, no. 1 (2025): 112–27. https://doi.org/10.61838/kman.isslp.4.1.11.

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Falsifiability is a perspective introduced by Karl Raymond Popper, influenced by David Hume's critique of the problem of induction and Immanuel Kant's method of criticism in contemporary philosophy of science. It is considered one of the influential viewpoints in this field. Before the introduction of this theory, members of the Vienna Circle sought to establish a foundation for scientific laws independent of Aristotelian essentialism and rationalism. However, Popper highlights the failure of such efforts, arguing that a scientific theory is not the product of cumulative observations that coul

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MR, Moh Irsyad Fahmi, Ahmad Muzakkil Anam, Dheny Wiratmoko, Norazlan Hadi Yaacob, and Noor Alwiyah. "Positivism and Ibn Khaldun's thought: bridging objectivity and social dynamics." Harmoni Sosial: Jurnal Pendidikan IPS 12, no. 1 (2025): 26–36. https://doi.org/10.21831/hsjpi.v12i1.83847.

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This study critically examines two foundational approaches in social science: positivism and Ibn Khaldun's theoretical framework. Through comprehensive library research analyzing primary and secondary sources, we explore the ontological, epistemological, and axiological dimensions of both paradigms. Positivism, approaches social phenomena through rigid scientific methodologies, emphasizing empirical observation and quantitative measurement while pursuing objective, universal social laws. This perspective, while influential in modern social science development, often reduces complex social real

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Zhao, Hengde, Yuxin Zhao, and Xiong Deng. "Application of the Most Sensitive Initial Error in Sampling Scheme Design for a Mobile Platform." Journal of Marine Science and Engineering 11, no. 11 (2023): 2080. http://dx.doi.org/10.3390/jmse11112080.

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Since ocean mobile observation equipment and numerical models have achieved remarkable results, the combination of the two has become an influential topic. A numerical model provides auxiliary information for the arrangement of observation equipment. As feedback, observations help produce more accurate initial conditions when incorporated into data assimilation. However, it is still worth investigating the ways to select the most valuable observation sites within the computational domain and the ways to design the observation scheme of the mobile platform. To improve the efficiency of observat

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Zhang, Pi Xu, Hang Yu Wang, and Zhang Song Shi. "Registration Algorithm of Time and Sensor System Errors for Multi-Platform." Advanced Materials Research 468-471 (February 2012): 2832–35. http://dx.doi.org/10.4028/www.scientific.net/amr.468-471.2832.

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Aiming at time and sensor system errors which are influential on detecting precision of sensors, the transfer relation of time and sensor system errors is modeled and a least square estimation algorithm is presented, based on navigation data with high precision and real-time observation of an aerial platform. Contrast among true value, observation and registered value by simulations show that the registration algorithm of time and sensor system errors for multi-platform can converge quickly with high precision.

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Kumar, Rajnish Kumar, Laxmi Ahuja, and Suman Mann. "Identification of Influential Nodes in Social Network: Big Data - Hadoop." International Journal of Data Science 5, no. 1 (2024): 1–18. http://dx.doi.org/10.18517/ijods.5.1.1-18.2024.

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Software development and associated data is the most critical factor these days. Currently, people are living in an internet world where data and related artifacts are major sets of information these days. The data is correlated with real-world data. The analysis of large datasets was done as part of the experimental analysis. The dataset for online social media like Facebook and Twitter was taken for the identification of influential nodes. The analysis of the dataset provides an overview and observation of the dataset for Facebook or Twitter. Here, in the current activity, an overview of clo

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Fitri, Evita, and Andi Saryoko. "Determining Air Quality Influential Parameters Using Machine Learning Techniques." Journal of Dinda : Data Science, Information Technology, and Data Analytics 4, no. 2 (2024): 105–14. http://dx.doi.org/10.20895/dinda.v4i2.1567.

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Air quality is an important issue in public health and the environment. This research aims to develop an air quality prediction model based on PM10 and PM2.5 parameters using various regression and machine learning approaches. The dataset used includes air pollutant standard index (ISPU) data from a number of stations in the Jakarta area with an observation period from January to April 2024. The research method includes collecting datasets, reviewing literature and testing several models of machine learning techniques. Furthermore, the handling of outliers was carried out using the numeric out

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Berry, Dave. "17. Learning By Observing Our Peers." Collected Essays on Learning and Teaching 1 (July 1, 2011): 99. http://dx.doi.org/10.22329/celt.v1i0.3186.

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This essay describes the administration of peer observation programs with a focus on supporting scholarly teaching. The factors found to be influential in designing these programs are emphasized in an attempt to provide a framework on which others may build their own variations of a self-study group.

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Prem, Gaddala, and Sankalpa Ojha. "AP Statistic for Identification of Outliers in Multi-Response Experiments with Correlated Errors." Journal of Scientific Research and Reports 30, no. 10 (2024): 242–49. http://dx.doi.org/10.9734/jsrr/2024/v30i102451.

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In multi response experiments where correlated errors are present, identification of outliers becomes a complex yet crucial task. Outliers not only distort the estimation of model parameters but also jeopardize the validity of statistical inferences drawn from the data. In the present study the statistic given by Andrews and Pregibon (AP) (1978) for detection of influential observations in linear regression is suitably modified for detection of outliers in multi – response experiments with correlated errors. The statistic was developed considering the data structure of auto – regressive order

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Arp, Halton. "Ambartsumian's Greatest Insight - The Origin of Galaxies." Symposium - International Astronomical Union 194 (1999): 473–77. http://dx.doi.org/10.1017/s0074180900162588.

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From simply looking at pictures of galaxies Ambartsumian realized that new galaxies were formed in ejections from old galaxies. In the ensuing 40 years, observations have supported in increasing detail his original insight. We can now empirically outline the development of compact objects emerging from the nuclei of active galaxies into young star forming galaxies and finally into aggregates of old stars.The observations actually require galaxies to continually originate in a low particle mass plasma which has remarkably similar properties to the “superfluid” which Ambartsumian foresaw. He had

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Babeiya, Edwin. "The Digital Party." African Journal of Political Science 11, no. 2 (2024): 91–93. http://dx.doi.org/10.36615/40qt8n07.

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Over two centuries political parties have stood as one of influential organizations in humankind. Besides playing several functions such as capturing and exercising state power, political socialization and interest aggregation, these organizations have not been free from controversies. At the centre of these controversies is the mass-elite divide which Robert Michels referred to as Iron Law of Oligarchy. Michel’s revelation was a revelation that elite interests were not necessarily compatible with those of the mass. This observation notwithstanding, political parties have remained the very inf

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Zabila, Ayu Hartinah, Andi Astinah Adnan, and Hariyanti Hamid. "GAYA KEPEMIMPINAN PEREMPUAN TERHADAP KINERJA PEGAWAI DI KELURAHAN BANGKAI KECAMATAN WATANG PULU." JIA: Jurnal Ilmiah Administrasi 9, no. 3 (2021): 135–41. http://dx.doi.org/10.55678/jia.v9i3.523.

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This study aims to determine the leadership style of female village heads on employee performance in Bangkai Village, Watang Pulu District, Sidenreng Rappang Regency.The population in this study were 30 stakeholders and a saturated sample of 30 people. This type of research is descriptive quantitative. Data collection techniques are observation, questionnaires (questionnaire) and library studies. The data analysis technique used is descriptive statistics.The results of this study indicate that the leadership style of the female village head with a value of 67% is categorized as "influential".

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Himmah, Ana Alimatul, Siti Zahrotul Choiriyah, Alfiatur Rohmah, and Achmad Ali Fikri. "ANALISIS FAKTOR TERJADINYA PERUBAHAN EKOSISTEM SAWAH." Florea : Jurnal Biologi dan Pembelajarannya 8, no. 1 (2021): 48. http://dx.doi.org/10.25273/florea.v8i1.8071.

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<p><em>This study aims to determine the factors of changes in the rice field ecosystem. The method used in this research is descriptive qualitative. Data collection techniques by observation, interviews and supported by literature study from relevant reference sources. Based on the results of observations, interviews and literature studies that have been conducted, three factors have been found to change the rice field ecosystem. Starting from the most influential factors, namely the use of fertilizers and chemicals, genetic engineering, and land narrowing. With this, the authors h

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Hakim, Muhammad Siroj, and Misbahus Surur. "Pengaruh Komunikasi dan Motivasi Kerja Kepemimpinan Kepala Sekolah Terhadap Kinerja Tenaga Pendidik, di MA Matholi’ul Anwar Kabupaten Lamongan." Jurnal Administrasi Pendidikan Islam 2, no. 1 (2020): 50–62. http://dx.doi.org/10.15642/japi.2020.2.1.50-62.

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This study aims to determine the effect of school principal, communication, and work motivation on MA Matholi'ul Anwar Sungelebak Karanggenang teachers in Lamongan Regency. This research is a type of qualitative research using a case study approach to understand the phenomena about what is experienced by research subjects. analysis using interpretative descriptive research, the researcher conducts research based on literature literature and observations in the field, namely through observation and interviews with research objects, as the main method. The results in this study indicate that lea

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Jin, Ye, and Lizhen Cui. "Discovering Influential Positions in RFID-Based Indoor Tracking Data." Information 11, no. 6 (2020): 330. http://dx.doi.org/10.3390/info11060330.

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The rapid development of indoor localization techniques such as Wi-Fi and RFID makes it possible to obtain users’ position-tracking data in indoor space. Indoor position-tracking data, also known as indoor moving trajectories, offer many new opportunities to mine decision-making knowledge. In this paper, we study the detection of highly influential positions from indoor position-tracking data, e.g., to detect highly influential positions in a business center, or to detect the hottest shops in a shopping mall according to users’ indoor position-tracking data. We first describe three baseline so

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Sacheli, L. M., C. Verga, E. Arcangeli, G. Banfi, M. Tettamanti, and E. Paulesu. "How Task Interactivity Shapes Action Observation." Cerebral Cortex 29, no. 12 (2019): 5302–14. http://dx.doi.org/10.1093/cercor/bhz205.

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Abstract Action observation triggers imitation, a powerful mechanism permitting interpersonal coordination. Coordination, however, also occurs when the partners’ actions are nonimitative and physically incongruent. One influential theory postulates that this is achieved via top-down modulation of imitation exerted by prefrontal regions. Here, we rather argue that coordination depends on sharing a goal with the interacting partner: this shapes action observation, overriding involuntary imitation, through the predictive activity of the left ventral premotor cortex (lvPMc). During functional magn

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Khairunnisa, Iqlima, and Supardi Ritonga. "IMPLEMENTASI MEDIA KOMIK DALAM MENINGKATKAN HASIL BELAJAR SISWA KELAS VII PADA MATA PELAJARAN SEJARAH KEBUDAYAAN ISLAM DI MTsN 1 BENGKALIS." Jurnal Ilmiah Pendidikan dan Keislaman 3, no. 3 (2023): 274–78. http://dx.doi.org/10.55883/jipkis.v3i3.80.

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This research is motivated by learning problems that generally still apply many lecture methods so that the learning process is less touched. Therefore, it is necessary to use appropriate learning media in improving learning outcomes. Comics are one of the learning media that make students more enthusiastic in the learning process. The purpose of this study is to find out how the implementation of comic media in improving student learning outcomes and to find out how influential comic media is in improving student learning outcomes. This type of research uses quantitative research with an expe

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S, Surya. "PERAN KEPEMIMPINAN LURAH DALAM MENINGKATKAN PARTISIPASI MASYARAKAT DI KELURAHAN LALEBATA KECAMATAN PANCA RIJANG KABUPATEN SIDENRENG RAPPANG." JIA: Jurnal Ilmiah Administrasi 9, no. 1 (2021): 43–48. http://dx.doi.org/10.51817/jia.v9i1.388.

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The purpose of this study is to determine the role of village head leadership in increasing community participation in Lalebata Village, Panca Rijang District, Sidenreng Rappang Regency. The type and type of this research uses descriptive quantitative, the population in this study is all of the people of Lalebata Village as many as 6013, the sample of this study was 98 people, the data collection techniques used in this study were to use (1) observation, (2) interview, (3) Questionnaires, (4) Literature Study. The results of this study indicate that the role of the village head leadership in i

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S, Surya. "PERAN KEPEMIMPINAN LURAH DALAM MENINGKATKAN PARTISIPASI MASYARAKAT DI KELURAHAN LALEBATA KECAMATAN PANCA RIJANG KABUPATEN SIDENRENG RAPPANG." JIA: Jurnal Ilmiah Administrasi 9, no. 1 (2021): 43–48. http://dx.doi.org/10.55678/jia.v9i1.388.

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The purpose of this study is to determine the role of village head leadership in increasing community participation in Lalebata Village, Panca Rijang District, Sidenreng Rappang Regency. The type and type of this research uses descriptive quantitative, the population in this study is all of the people of Lalebata Village as many as 6013, the sample of this study was 98 people, the data collection techniques used in this study were to use (1) observation, (2) interview, (3) Questionnaires, (4) Literature Study. The results of this study indicate that the role of the village head leadership in i

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Mushthofa, Mujiburrohman, and Mu'in Abdullah. "Peran Suri Tauladan Guru Dalam Pembinaan Akhlak Siswa Sekolah Menengah Pertama Islam Terpadu." Al-Mau'izhoh 5, no. 2 (2023): 422–32. http://dx.doi.org/10.31949/am.v5i2.7077.

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This research aims to (1) Describe the role of teacher role models at SMP IT Mutiara Insani Delanggu (2) Describe the role of teacher role models in student moral training (3) Describe the factors inhibiting teacher role models. This research is field research. The approach used by the author in this research is a qualitative descriptive approach. Data collection was carried out using interviews, observation and documentation methods. The results of the research show that (1) the role of teacher role models at SMP IT Mutiara Insani is very influential on the formation of student morals because

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Fang, Zhou, and Yuanguo Zhu. "Uncertain autoregressive model with external explanatory variables for the CNY exchange rate prediction." Reports on Economics and Finance 10, no. 1 (2025): 1–11. https://doi.org/10.12988/ref.2025.91421.

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Uncertain time series and uncertain regression analysis are influential methods for exploring relationships between variables. As basic statistical models, these two methods cannot deal with the situation where the current observation value is simultaneously affected by past observations and external explanatory variables. This inspires us to propose an uncertain autoregressive model includes external explanatory variables. First, this paper presents an uncertain autoregressive model with external explanatory variables, and investigates its parameter estimates, predicted values, and confidence

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Chairyani, Dea, K. A. Rahman, and Muazza Muazza. "PENGARUH BIAYA PENDIDIKAN TERHADAP MUTU SEKOLAH DI SEKOLAH MENENGAH PERTAMA SWASTA." Jurnal Visionary : Penelitian dan Pengembangan dibidang Administrasi Pendidikan 10, no. 2 (2022): 73. http://dx.doi.org/10.33394/vis.v10i2.6162.

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Abstract: This study aims to determine the effect of education costs on school quality in private Junior High Schools. This research was conducted in one of the Junior High Schools in Jambi City. The method used is a qualitative approach with data collection techniques, namely observation and interviews. Based on the results of observations and interviews that have been carried out, it was found that there was a direct positive influence between the cost of education on the school quality. High school fees are very influential in carrying out activities carried out in schools to improve the qu

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Ashtari, Reza, Anthony Sciola, Jake D. Turner, and Kevin Stevenson. "Detecting Magnetospheric Radio Emission from Giant Exoplanets." Astrophysical Journal 939, no. 1 (2022): 24. http://dx.doi.org/10.3847/1538-4357/ac92f5.

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Abstract As radio astronomy enters a golden age, ground-based observatories are reaching sensitivities capable of unlocking a new and exciting field of exoplanet observation. Radio observation of planetary auroral emission provides unique and complementary insight into planetary science not available via orthodox exoplanet observation techniques. Supplying the first measurements of planetary magnetic fields, rotation rates, and orbital obliquities, we gain necessary and crucial insight into our understanding of the star–planet relationships, geophysics, composition, and habitability of exoplan

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Geng, Christian, and Phil Hoole. "Some comments on the reliability of three-index factor analysis models in speech research." ZAS Papers in Linguistics 42 (January 1, 2005): 219–39. http://dx.doi.org/10.21248/zaspil.42.2005.280.

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Low- dimensional and speaker-independent linear vocal tract parametrizations can be obtained using the 3-mode PARAFAC factor analysis procedure first introduced by Harshman et al. (1977) and discussed in a series of subsequent papers in the Journal of the Acoustical Society of America (Jackson (1988), Nix et al. (1996), Hoole (1999), Zheng et al. (2003)). Nevertheless, some questions of importance have been left unanswered, e.g. none of the papers using this method has provided a consistent interpretation of the terms usually referred to as "speaker weights". This study attempts an exploration

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Nurkholis, Nurkholis, and Achadi Budi Santosa. "Development of Student Character through the Implementation of Religious Values: An Influential Leadership." Al-Tanzim: Jurnal Manajemen Pendidikan Islam 8, no. 1 (2024): 298–310. http://dx.doi.org/10.33650/al-tanzim.v8i1.6693.

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In some Eastern societies, character development is usually inseparable from people's religiosity. This research aims to reveal the role of school principals in creating student religiosity. This research uses a qualitative approach; data collection techniques are carried out through observation, involving oneself in learning activities, and interview techniques with several teachers and school principals. The collected data was validated using triangulation techniques, both sources, and techniques. This research reveals that, through example, the school principal has successfully motivated st

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Amin, Muhammad Izzuddin. "Pengaruh Citra Merek dan Kesadaran Merek Terhadap Keputusan Pembelian Air Minum dalam Kemasan (AMDK) Merek AQUA (Studi Kasus Konsumen di Kawasan Makam Gus Dur Tebuireng Jombang)." BIMA : Journal of Business and Innovation Management 2, no. 1 (2020): 48–58. http://dx.doi.org/10.33752/bima.v2i1.126.

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This research use analysis technique quantitative data with data collecting observation use primer data that is get from population. A sample in this research was 125 respondents. The sample took by nonprobability sampling Technique actually purposive sampling which is technique take from the element of population and chosen from respondent’s voluntary who represent of the population and chosen to be a sample. Technique of data analysis use Regresi Linier Berganda. The result shows that: (1) Image label has positive influential and significant of purchasing decision. (2) Realizing label has po

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Yohana, Yohana, and Hapzi Ali. "The Influence of the Distribution Process , Productivity and Income of Micro, Small and Medium Enterprises To Distribution People's Business Credit (Kredit Usaha Rakyat)The Influence of the Distribution Process , Productivity and Income of Micro, Small and Medium Enterprises To Distribution People's Business Credit (Kredit Usaha Rakyat)." International Journal of Progressive Sciences and Technologies 41, no. 2 (2023): 581. http://dx.doi.org/10.52155/ijpsat.v41.2.5785.

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The aim of this research are 1) Analyze the factors that influence Micro , Small and Medium Enterprises (MSMEs) Submit People's Business Credit. 2) Formulate development ideas business For development marketing based on analysis internal environment and environment external company at PT Bank BRI (Persero) Tbk Pasar Minggu Branch Office , Jakarta. 3) Make a plan development marketing at PT Bank BRI (Persero) Tbk Pasar Minggu Branch Office , Jakarta based non- financial aspects and aspects financial .. Research methods used is method qualitative and method quantitative . Qualitative method with

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Suraswati, Suraswati, Kamaruddin Sellang, and Monalisa Ibrahim. "PENGARUH KOMUNIKASI ORGANISASI TERHADAP EFEKTIVITAS KERJA APARAT DI KANTOR KELURAHAN ARATENG KECAMATAN TELLU LIMPOE KABUPATEN SIDENRENG RAPPANG." PRAJA: Jurnal Ilmiah Pemerintahan 9, no. 1 (2021): 18–27. http://dx.doi.org/10.55678/prj.v9i1.331.

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This study aims to determine the effect of Organizational Communication on the Work Effectiveness of Apparatus in the Arateng Village Office, Sidenreng Rappang District. The population of this study was 2,133 people and a sample of 32 people. The sampling technique used is saturated samples. This type of research is quantitative descriptive. Data collection techniques are observation, interviews, library research and questionnaires. Data analysis techniques using descriptive analysis, data quality tests (validity and reliability), classic assumption tests, linear regression and hypothesis test

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Alizah, Nur, Monalisa Ibrahim, and Andi Astinah Adnan. "PENGARUH MANAJEMEN PENGELOLAAN BADAN USAHA MILIK DESA TERHADAP PENINGKATAN PARTISIPASI MASYARAKAT DI DESA BILA RIASE KECAMATAN PITU RIASE KEBUPATEN SIDENRENG RAPPANG." JIA: Jurnal Ilmiah Administrasi 9, no. 1 (2021): 7–13. http://dx.doi.org/10.51817/jia.v9i1.383.

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This research aims to determine the management of the village owned enterprises to increase community participation in the village if Riase District Pitu Riase District Sidenreng Rappang. The population in this study is 83 community figures in the village Bila Riase where the sampling used is Probability Sampling, with purposive sampling technique using formula Slovin with the number of samples 45 community leaders, This research uses quantitative dexsriptif methods. Data collection techniques used through observation, questionnaire (Angket), interview, literature study. The data analysis tech

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Suraswati, Suraswati, Kamaruddin Sellang, and Monalisa Ibrahim. "PENGARUH KOMUNIKASI ORGANISASI TERHADAP EFEKTIVITAS KERJA APARAT DI KANTOR KELURAHAN ARATENG KECAMATAN TELLU LIMPOE KABUPATEN SIDENRENG RAPPANG." PRAJA: Jurnal Ilmiah Pemerintahan 9, no. 1 (2021): 18–27. http://dx.doi.org/10.51817/prj.v9i1.331.

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This study aims to determine the effect of Organizational Communication on the Work Effectiveness of Apparatus in the Arateng Village Office, Sidenreng Rappang District. The population of this study was 2,133 people and a sample of 32 people. The sampling technique used is saturated samples. This type of research is quantitative descriptive. Data collection techniques are observation, interviews, library research and questionnaires. Data analysis techniques using descriptive analysis, data quality tests (validity and reliability), classic assumption tests, linear regression and hypothesis test

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Alizah, Nur, Monalisa Ibrahim, and Andi Astinah Adnan. "PENGARUH MANAJEMEN PENGELOLAAN BADAN USAHA MILIK DESA TERHADAP PENINGKATAN PARTISIPASI MASYARAKAT DI DESA BILA RIASE KECAMATAN PITU RIASE KEBUPATEN SIDENRENG RAPPANG." JIA: Jurnal Ilmiah Administrasi 9, no. 1 (2021): 7–13. http://dx.doi.org/10.55678/jia.v9i1.383.

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This research aims to determine the management of the village owned enterprises to increase community participation in the village if Riase District Pitu Riase District Sidenreng Rappang. The population in this study is 83 community figures in the village Bila Riase where the sampling used is Probability Sampling, with purposive sampling technique using formula Slovin with the number of samples 45 community leaders, This research uses quantitative dexsriptif methods. Data collection techniques used through observation, questionnaire (Angket), interview, literature study. The data analysis tech

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Zhao, Xue. "A Tentative Study on Thomas Hardy’s Fatalism in The Return of the Native." Journal of Language Teaching and Research 12, no. 1 (2021): 172. http://dx.doi.org/10.17507/jltr.1201.18.

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Thomas Hardy, the most influential novelist in British literature is famous for the pessimism and fatalism in his works. This paper mainly discusses the characters in The Return of the Native to probe into Hardy’s fatalism through his keen observation and skillful writing of the description of the tragedy. Instead of the overwhelming pessimism, the author also sheds a hope for the human beings.

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V Kannan R, Pavithra. "Impact of Influential Observations in Survival Analysis." International Journal of Science and Research (IJSR) 12, no. 4 (2023): 1057–62. http://dx.doi.org/10.21275/mr23410105218.

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