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1

Bock, R. Darrell, Robert Gibbons, and Eiji Muraki. "Full-Information Item Factor Analysis." Applied Psychological Measurement 12, no. 3 (1988): 261–80. http://dx.doi.org/10.1177/014662168801200305.

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Gibbons, Robert D., and Donald R. Hedeker. "Full-information item bi-factor analysis." Psychometrika 57, no. 3 (1992): 423–36. http://dx.doi.org/10.1007/bf02295430.

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Muraki, Eiji, and James E. Carlson. "Full-Information Factor Analysis for Polytomous Item Responses." Applied Psychological Measurement 19, no. 1 (1995): 73–90. http://dx.doi.org/10.1177/014662169501900109.

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Muraki, Eiji, and George Engelhard. "Full-Information Item Factor Analysis: Applications of EAP Scores." Applied Psychological Measurement 9, no. 4 (1985): 417–30. http://dx.doi.org/10.1177/014662168500900411.

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Lee, Sik-Yum, and Liang Xu. "On local influence analysis of full information item factor models." Psychometrika 68, no. 3 (2003): 339–60. http://dx.doi.org/10.1007/bf02294731.

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Bryant, Fred B., and Karl G. Jöreskog. "Confirmatory Factor Analysis of Ordinal Data Using Full-Information Adaptive Quadrature." Australian & New Zealand Journal of Statistics 58, no. 2 (2016): 173–96. http://dx.doi.org/10.1111/anzs.12154.

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Cai, Li. "A Two-Tier Full-Information Item Factor Analysis Model with Applications." Psychometrika 75, no. 4 (2010): 581–612. http://dx.doi.org/10.1007/s11336-010-9178-0.

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Zhang, Siliang, Yunxiao Chen, and Yang Liu. "An improved stochastic EM algorithm for large‐scale full‐information item factor analysis." British Journal of Mathematical and Statistical Psychology 73, no. 1 (2018): 44–71. http://dx.doi.org/10.1111/bmsp.12153.

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Hirose, Kei, Sunyong Kim, Yutaka Kano, Miyuki Imada, Manabu Yoshida, and Masato Matsuo. "Full information maximum likelihood estimation in factor analysis with a large number of missing values." Journal of Statistical Computation and Simulation 86, no. 1 (2015): 91–104. http://dx.doi.org/10.1080/00949655.2014.995656.

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Schaeffer, Gary A., and Neal M. Kingston. "STRENGTH OF THE ANALYTICAL FACTOR OF THE GRE GENERAL TEST IN SEVERAL SUBGROUPS: A FULL-INFORMATION FACTOR ANALYSIS APPROACH." ETS Research Report Series 1988, no. 1 (1988): i—23. http://dx.doi.org/10.1002/j.2330-8516.1988.tb00261.x.

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Molde, H., K. M. Hynninen, T. Torsheim, et al. "A Bifactor and item response analysis of the geriatric anxiety inventory." International Psychogeriatrics 29, no. 10 (2017): 1647–56. http://dx.doi.org/10.1017/s1041610217001004.

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ABSTRACTBackground:Due to previously reported mixed findings, there is a need for further empirical research on the factorial structure of the commonly used Geriatric Anxiety Inventory (GAI). Therefore, the psychometric properties of the GAI and its short form version (GAI-SF) were evaluated in a psychogeriatric mixed in-and-out patient sample (n= 543).Methods:Unidimensionality was tested using a bifactor analysis. Rasch modeling was used to assess scale properties. Sex, cognitive functioning and depressive symptoms were tested for differential item functioning (DIF).Results:The bifactor analy
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Cao, Chenghui, Jie Zhang, Junmin Meng, Xi Zhang, and Xingpeng Mao. "Analysis of Ship Detection Performance with Full-, Compact- and Dual-Polarimetric SAR." Remote Sensing 11, no. 18 (2019): 2160. http://dx.doi.org/10.3390/rs11182160.

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Polarimetric synthetic aperture radar (SAR) is currently drawing more attention due to its advantage in Earth observations, especially in ship detection. In order to establish a reliable feature selection method for marine vessel monitoring purposes, forty features are extracted via polarimetric decomposition in the full-polarimetric (FP), compact-polarimetric (CP), and dual-polarimetric (DP) modes. These features were comprehensively quantified and evaluated using the Euclidean distance and mutual information, and the result indicated that the features in CP SAR are better than those of FP or
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Jing, Shao Xue, and Wei Kuan Jia. "Study on Elman Neural Networks Algorithms Based on Factor Analysis." Applied Mechanics and Materials 511-512 (February 2014): 945–49. http://dx.doi.org/10.4028/www.scientific.net/amm.511-512.945.

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When we manipulate high dimensional data with Elman neural network, many characteristic variables provide enough information, but too many network inputs go against designing of the hidden-layer of the network and take up plenty of storage space as well as computing time, and in the process interfere the convergence of the training network, even influence the accuracy of recognition finally. Factor Analysis (FA) concentrates the information that is carried by numerous original indexes which form the index system, and then stores it to the factor, and can according to the precision that the act
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Mamich, V. V., Yu A. Maksimenko, V. O. Didyk, D. Y. Sharshatkin, and Yu G. Dushkin. "RESEARCH OF INTELLIGENCE INFORMATION ANALYSIS METHODOLOGY." Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, no. 84 (2024): 47–53. https://doi.org/10.17721/2519-481x/2024/84-05.

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The word "taxonomy" comes from the Greek "taxis" meaning arrangement, division, or order, and "nomos" meaning law. Classic examples of taxonomy are the hierarchical classification of all living organisms according to Carl Linnaeus' system into kingdoms, types, classes, orders, families, genera, and species, which is widely used in the biological sciences, as well as in Dmytro Medeleev's periodic table of elements, which is used by chemists. Taxonomy is a classification of all elements of a certain area of information or knowledge. It defines that area by identifying, naming, and categorizing a
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Mamich, V. V., Y. A. Maksimenko, V. O. Didyk, D. Y. Sharshatkin, and Y. Dushkin. "RESEARCH OF INTELLIGENCE INFORMATION ANALYSIS METHODOLOGY." Collection of scientific works of the Military Institute of Kyiv National Taras Shevchenko University, no. 85 (2024): 87–93. https://doi.org/10.17721/2519-481x/2024/85-09.

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The word "taxonomy" comes from the Greek "taxis" meaning arrangement, division, or order, and "nomos" meaning law. Classic examples of taxonomy are the hierarchical classification of all living organisms according to Carl Linnaeus' system into kingdoms, types, classes, orders, families, genera, and species, which is widely used in the biological sciences, as well as in Dmytro Medeleev`s periodic table of elements, which is used by chemists. Taxonomy is a classification of all elements of a certain area of information or knowledge. It defines that area by identifying, naming, and categ
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Church, John H., and David W. Gillingham. "Benefit Segments for Full-Time Undergraduate Students." Canadian Journal of Higher Education 18, no. 2 (1988): 55–73. http://dx.doi.org/10.47678/cjhe.v18i2.183037.

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The purpose of this article is to present the results of a case analysis conducted at Laurentian University in Sudbury, Ontario. The objective of this case study was to identify the benefits sought by undergraduate students and to form meaningful groups, or segments, based upon these benefits. A sample of 427 full-time at Laurentian University was used for this investigation. A questionnaire to gather information on the student, this included 19 questions using Likert statements to measure the perceived benefits of a university education. Factor analysis was used to identify five underlying be
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Le, Chi-Bao, and Dinh-Thuan Do. "Performance analysis of downlink NOMA relying energy harvesting and full-duplex." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 16, no. 1 (2022): 1–9. http://dx.doi.org/10.37936/ecti-cit.2022161.242809.

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This paper considers the implementation of wireless power transfer scheme to non-orthogonal multiple access (NOMA) network at downlink. The single antenna power beacon (PB) provide capability of wireless charge to two NOMA users. In addition, full-duplex (FD) scheme is employed for two users. Outage probabilities related to system performance are evaluated in the scenario of the multi-antenna base station. Improved performance can be achieved since multi-antenna, energy harvesting capability. In particular, expressions of outage performance are derived in this system model to help to forward t
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Leonelli, Bernard T., Chih-Hung Chang, R. Darrell Bock, and Stephen G. Schilling. "Interpretation of a Full-Information Item-Level Factor Analysis of the MMPI-2: Normative Sampling and Nonpathognomonic Descriptors." Journal of Personality Assessment 74, no. 3 (2000): 400–422. http://dx.doi.org/10.1207/s15327752jpa7403_5.

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Lamash, Liron, and Naomi Josman. "Full-information factor analysis of the Daily Routine and Autonomy (DRA) questionnaire among adolescents with autism spectrum disorder." Journal of Adolescence 79 (February 2020): 221–31. http://dx.doi.org/10.1016/j.adolescence.2020.01.011.

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Martand Pratap, Et al. "Analysis of Induction Motor Drive Systems." International Journal on Recent and Innovation Trends in Computing and Communication 11, no. 7 (2023): 439–45. http://dx.doi.org/10.17762/ijritcc.v11i7.10059.

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In industry, the induction machine, particularly the cage rotor type, is most typically employed for variable speed applications. Adjustable speed drives use back-to-back AC to DC and DC to AC conversion to alter the speed. This conversion procedure introduces harmonics and reduces power factor at the supply end. It is now more important than ever to design and build a three-phase induction motor drive with higher power quality. A full report on the converter topologies is used for Power Factor Correction at the input side to eliminate harmonics and enhance power factor at the supply side. So
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Kingston, Neal. "ASSESSING THE DIMENSIONALITY OF THE GMAT VERBAL AND QUANTITATIVE MEASURES USING FULL INFORMATION FACTOR ANALYSIS1." ETS Research Report Series 1986, no. 1 (1986): i—17. http://dx.doi.org/10.1002/j.2330-8516.1986.tb00168.x.

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Dr. Wang Haoxiang. "Emotional Analysis of Bogus Statistics in Social Media." Journal of Ubiquitous Computing and Communication Technologies 2, no. 3 (2020): 178–86. http://dx.doi.org/10.36548/jucct.2020.3.006.

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Fake info or bogus statistics is a new term and it is now considered as a greatest threat to democracy. Since the world is full of surprises and humans have developed their delicate nature to detect unexcepted information. Social media plays a vital role in information spreading, since the impact towards fake information has gained more attention due to the social media platforms. Trending the hot topic without analyzing the information will introduce great impact over millions of people. So, it is essential to analyze the message and its truthfulness. Emotional analysis is an important factor
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23

Kitajima, Ryozo, and Ryotaro Kamimura. "Accumulative Information Enhancement In The Self-Organizing Maps And Its Application To The Analysis Of Mission Statements." Journal of Artificial Intelligence and Soft Computing Research 5, no. 3 (2015): 161–76. http://dx.doi.org/10.1515/jaiscr-2015-0026.

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AbstractThis paper proposes a new information-theoretic method based on the information enhancement method to extract important input variables. The information enhancement method was developed to detect important components in neural systems. Previous methods have focused on the detection of only the most important components, and therefore have failed to fully incorporated the information contained in the components into learning processes. In addition, it has been observed that the information enhancement method cannot always extract input information from input patterns. Thus, in this pape
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Ayanwale, Musa Adekunle, Flourish O. Isaac-oloniyo, and Funmilayo Rebecca Abayomi. "Dimensionality assessment of binary response test items: A non-parametric approach of bayesian item response theory measurement." International Journal of Evaluation and Research in Education (IJERE) 9, no. 2 (2020): 385. http://dx.doi.org/10.11591/ijere.v9i2.20454.

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This study investigated dimensionality of Binary Response Items through a non-parametric technique of Item Response Theory measurement framework. The study used causal comparative research type of non-experimental design. The sample consisted of 5,076 public senior secondary school examinees (SSS3) between the age of 14-16 years from 45 schools, which were drawn randomly from three senatorial districts of Osun State, Nigeria. Instrument used for this study was 2018 Osun State unified multiple-choice mathematics achievement test items with empirical reliability coefficient of 0.82. Data obtaine
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Sanders, Megan, P. Cristian Gugiu, and Patricia Enciso. "How Good are Our Measures? Investigating the Appropriate Use of Factor Analysis for Survey Instruments." Journal of MultiDisciplinary Evaluation 11, no. 25 (2015): 22–33. http://dx.doi.org/10.56645/jmde.v11i25.432.

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Background: Evaluation work frequently utilizes factor analysis to establish the dimensionality, reliability, and stability of surveys. However, survey data is typically ordinal, violating the assumptions of most statistical methods, and thus is often factor-analyzed inappropriately. Purpose: This study illustrates the salient analytical decisions for factor-analyzing ordinal survey data appropriately and demonstrates the repercussions of inappropriate analyses. Setting: The data used for this study are drawn from an evaluation of the efficacy of a drama-based approach to teaching Shakespeare
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Nhan, Vuong Thi Thanh, Nguyen Ngoc Khanh Dung, and Tran Phuoc. "Accounting Information Security Control and Satisfaction of Accountants Regarding Accounting Information Systems." Emerging Science Journal 7, no. 5 (2023): 1534–50. http://dx.doi.org/10.28991/esj-2023-07-05-06.

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This study analyzes the factors affecting accountants’ satisfaction with the accounting information system in Vietnamese enterprises. The research results of this study show that the factors affecting user satisfaction with the accounting information system are directly influenced by four factors: the quality of the accounting workforce, perception of usefulness, system quality, and information quality. The quality of the accounting workforce is the factor that has the greatest direct impact on the accountant’s satisfaction. The second is the perceived usefulness factor. The third is the syste
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Hazard, Derek, Martin Schumacher, Mercedes Palomar-Martinez, Francisco Alvarez-Lerma, Pedro Olaechea-Astigarraga, and Martin Wolkewitz. "Improving nested case-control studies to conduct a full competing-risks analysis for nosocomial infections." Infection Control & Hospital Epidemiology 39, no. 10 (2018): 1196–201. http://dx.doi.org/10.1017/ice.2018.186.

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AbstractObjectiveCompeting risks are a necessary consideration when analyzing risk factors for nosocomial infections (NIs). In this article, we identify additional information that a competing risks analysis provides in a hospital setting. Furthermore, we improve on established methods for nested case-control designs to acquire this information.MethodsUsing data from 2 Spanish intensive care units and model simulations, we show how controls selected by time-dynamic sampling for NI can be weighted to perform risk-factor analysis for death or discharge without infection. This extension not only
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Zhu, Yong Ming, and Kang Xin Wu. "The Research of the CSR Appraisal to Bus Listed Companies Based on Factor Analysis." Applied Mechanics and Materials 26-28 (June 2010): 661–66. http://dx.doi.org/10.4028/www.scientific.net/amm.26-28.661.

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The performance of corporate social responsibility is increasingly becoming the focus of people’s attention. So we have to strengthen the appraisal and supervision of corporate social responsibility to those enterprises who have a significant impact on people's livelihood. In this paper, we chose 10 bus listed companies who have a full disclosure of financial information as samples, selected 260 data, made factor analysis using SPSS software and build a model of corporate social responsibility appraisal, finally made scientific analysis and appraisal to various parts of enterprise’s production
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Bolgov, Alexandr, Svetlana Korban, Dmitrii Luzik, et al. "Crystal structure of the SH3 domain of growth factor receptor-bound protein 2." Acta Crystallographica Section F Structural Biology Communications 76, no. 6 (2020): 263–70. http://dx.doi.org/10.1107/s2053230x20007232.

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This study presents the crystal structure of the N-terminal SH3 (SH3N) domain of growth factor receptor-bound protein 2 (Grb2) at 2.5 Å resolution. Grb2 is a small (215-amino-acid) adaptor protein that is widely expressed and involved in signal transduction/cell communication. The crystal structure of full-length Grb2 has previously been reported (PDB entry 1gri). The structure of the isolated SH3N domain is consistent with the full-length structure. The structure of the isolated SH3N domain was solved at a higher resolution (2.5 Å compared with 3.1 Å for the previously deposited structure) an
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Musa, Adekunle Ayanwale, O. Isaac-Oloniyo Flourish, and R. Abayomi Funmilayo. "Dimensionality assessment of binary response test items: A non-parametric approach of bayesian item response theory measurement." International Journal of Evaluation and Research in Education (IJERE) 9, no. 2 (2020): 385–93. https://doi.org/10.11591/ijere.v9i2.20454.

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This study investigated dimensionality of Binary Response Items through  a non-parametric technique of Item Response Theory measurement framework. The study used causal comparative research type of non-experimental design. The sample consisted of 5,076 public senior secondary school examinees (SSS3) between the age of 14-16 years from 45 schools, which were drawn randomly from three senatorial districts of Osun State, Nigeria. Instrument used for this study was 2018 Osun State unified multiple-choice mathematics achievement test items with empirical reliability coefficient of 0.82. Data o
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31

Yang, Shenmenglu, and Hongyu Ma. "Security Performance Analysis of Full-Duplex UAV Assisted Relay System Based on SWIPT Technology." Applied Sciences 14, no. 12 (2024): 4987. http://dx.doi.org/10.3390/app14124987.

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In this paper, a new methodology is developed for modeling and analyzing a full-duplex UAV-assisted relay system to facilitate solving the problems of UAV energy constraints and the vulnerability of UAVs to eavesdropping in the air. Combining simultaneous wireless information and power transfer (SWIPT) technology, we model the downlink UAV eavesdropping channel and propose a secure transmission protocol for a full-duplex UAV-assisted relay system. Using this transmission protocol, we analyze and derive the connectivity and security of the entire communication link, including connection probabi
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Primi, Ricardo, Carla Fernanda Ferreira-Rodrigues, and Lucas de Francisco Carvalho. "Cattell’s Personality Factor Questionnaire (CPFQ): Development and Preliminary Study." Paidéia (Ribeirão Preto) 24, no. 57 (2014): 29–37. http://dx.doi.org/10.1590/1982-43272457201405.

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This study was aimed at: (a) developing an instrument for personality assessment according to Cattell’s model, in which the 16PF is based on; and (b) carrying out an empirical analysis of the internal structure of the instrument. Three hundred and forty seven people, mostly female (67.4%), attending higher education (62.5%) and aged between 16 and 66 (M = 25.69;SD = 8.90) participated in the study. One hundred and twenty items were created and an exploratory factor analysis of the main factors was carried out. Then, a parallel analysis, an exploratory full information factor analysis with cate
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Lindhout, Theo, Jo Franssen, and George Willems. "Kinetics of the Inhibition of Tissue Factor-Factor Vila by Tissue Factor Pathway Inhibitor." Thrombosis and Haemostasis 74, no. 03 (1995): 910–15. http://dx.doi.org/10.1055/s-0038-1649846.

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SummaryTissue factor-factor VIIa catalysed activation of factor X and factor IX is inhibited by the complex of tissue factor pathway inhibitor (TFPI) and factor Xa. At present, no information is available as to what extent the kinetics of complex formation between TFPI and factor Xa during factor X activation contribute to the overall rate of inactivation of the factor X converting complex. We have determined the kinetic parameters of the individual reactions, i. e. factor X activation, formation of the TFPI-factor Xa complex, and inactivation of tissue factor-factor VIIa by the TFPI-factor Xa
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Wang, Runze, Meiling Ming, Jiaming Li, et al. "Genome-wide identification of theMADS-boxtranscription factor family in pear (Pyrus bretschneideri) reveals evolution and functional divergence." PeerJ 5 (September 11, 2017): e3776. http://dx.doi.org/10.7717/peerj.3776.

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MADS-boxtranscription factors play significant roles in plant developmental processes such as floral organ conformation, flowering time, and fruit development. Pear (Pyrus), as the third-most crucial temperate fruit crop, has been fully sequenced. However, there is limited information about theMADSfamily and its functional divergence in pear. In this study, a total of 95MADS-boxgenes were identified in the pear genome, and classified into two types by phylogenetic analysis. Type IMADS-boxgenes were divided into three subfamilies and type II genes into 14 subfamilies. Synteny analysis suggested
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Guan, Li Kun, and Xin Yu Zhang. "Finite Element Analysis and Testing of Ladle Turret’s Supporting Arm." Advanced Materials Research 433-440 (January 2012): 5896–901. http://dx.doi.org/10.4028/www.scientific.net/amr.433-440.5896.

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Objective: To establish a finite element model for ladle turret’s supporting arm. Verify the accuracy of finite element analysis, and accurate information cause of crack. Methods: Use ANSYS finite element analysis software to perform a solution of the supporting arm at loaded full ladle . By mean of strain measuements ,impact coefficient was obtained,and presents an analytical study of static strength of the supporting arm. Result:The greater the load is, the smaller the impact factor is. Verify the accuracy of the finite element method by on-site response test. Accordingly, it improves the su
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Romaniuk, O., and I. Kovalenko. "Information Means of Warfare." Visnyk of Kharkiv State Academy of Culture, no. 63 (June 26, 2023): 7–18. http://dx.doi.org/10.31516/2410-5333.063.01.

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The relevance of the paper is determined by the fact that the information component plays the most important role in the hybrid war that Russia is conducting against Ukraine today. In the conditions of Russia’s full-scale aggression against Ukraine, the study of the informational factor of hybrid wars is an urgent problem of both military and political sciences, as well as the social communications science.
 The purpose of this article is to highlight the information factor of warfare in the context of the development of mass communication.
 The methodology is based on the use of sys
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37

Arifuddin, R., R. U. Latief, S. Hamzah, D. Pangemanan, E. Aprianti, and R. Fadlillah. "The Analysis of Sustainable Construction Strategies on the Likupang Special Economic Zone (SEZ)." Civil Engineering Journal 9 (April 30, 2023): 83–93. http://dx.doi.org/10.28991/cej-sp2023-09-07.

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Many challenges are faced in implementing sustainable construction in Indonesia. This research aims to find an effective method for adopting sustainable construction. The method used combines qualitative and quantitative methods by incorporating the identification of significant factors affecting the adoption of sustainable construction. In data collection with the SWOT system, FGDs and interviews provided accurate information regarding factors and strategies to promote sustainable construction, particularly in the Likupang SEZ Project. From the results of the study, the IFSC value for the pro
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Xie, Yun, Lujing Zhou, Xiaobin Zhang, Jinhu Wu, and Jiaming Dou. "Weighted Full-Focus Defect Detection and Imaging Method Based on Threshold Fusion for Phase Coherence Factor." Journal of Sensors 2022 (September 1, 2022): 1–14. http://dx.doi.org/10.1155/2022/6886025.

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Total focus (TFM) ultrasonic inspection imaging only uses the amplitude of defect data for delayed stack imaging (DAS), ignoring the phase information in the echo signal, which easily leads to low imaging resolution and interferes with subsequent quantitative analysis of defect size. To solve these problems, this paper proposes a phase coherence factor (TF-PCF) weighted full-focus imaging method based on threshold fusion: by combining the image sound intensity matrix with mathematical statistics, a reasonable threshold is set to screen out the effective pixels, and the parameter selection rule
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Villaume, William A., and James B. Weaver, III. "A Factorial Approach to Establishing Reliable Listening Measures from the WBLT and the KCLT: Full Information Factor Analysis of Dichotomous Data." International Journal of Listening 10, no. 1 (1996): 1–20. http://dx.doi.org/10.1207/s1932586xijl1001_1.

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Svendsen, Niels G., Daniel J. Koch, George Z. Gertner, Heidi R. Howard, and Paul D. Ayers. "Vehicle Impact Analysis Using Vehicle Tracking Systems on Military Lands." Transactions of the ASABE 60, no. 6 (2017): 1865–72. http://dx.doi.org/10.13031/trans.12133.

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Abstract. Although the impacts of military vehicles on the landscape have been studied extensively, research has not looked at full-scale multi-vehicle events to estimate land disturbance. Currently, the military extensively uses live and simulated training to prepare troops for combat, and these systems can provide data for accurate determination of the land disturbance patterns resulting from training activities. This article examines a full-scale multi-vehicle event and determines the total moving-vehicle disturbance (event-based impact). It provides a methodology for using in-field simulat
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PAWLUS, WITOLD, HAMID REZA KARIMI, and KJELL G. ROBBERSMYR. "WAVELET-BASED ESTIMATION OF MODAL PARAMETERS OF A VEHICLE INVOLVED IN A FULL-SCALE IMPACT." International Journal of Wavelets, Multiresolution and Information Processing 10, no. 06 (2012): 1250057. http://dx.doi.org/10.1142/s0219691312500579.

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In this paper, a wavelet-based approach is presented for estimation of vehicle modal parameters. The acceleration of a colliding vehicle is measured in its center of gravity — this crash pulse contains detailed information about vehicle behavior throughout a collision. Three types of signal analysis are elaborated here: time domain analysis (i.e. description of kinematics of a vehicle in time domain), the frequency analysis (identification of the parameters of the crash pulse in frequency domain), and the time-frequency analysis, which comprises those techniques that study a signal in both the
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Ghamgosar, Arezoo, Maryam Zarghani, and Leila Nemati-Anaraki. "The 100 most-cited articles on malaria: a bibliometric analysis." Collection and Curation 40, no. 2 (2021): 58–67. http://dx.doi.org/10.1108/cc-06-2020-0018.

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Purpose The use of citation analysis to identify the first 100 articles on malaria offers unique insights into understanding the disease and subsequent follow-up treatment innovations over time. In this study, the 100 most-cited articles on malaria were analyzed, and key studies were highlighted. Design/methodology/approach The data of the most-cited articles for the period of four decades were extracted from the Web of Science database. The search terms malaria, plasmodium infection and remittent fever were used to identify the related articles for the study. Findings The preliminary data of
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Gao, Zhiqiang. "A Novel Long and Short-Term Memory Network-Based Krill Herd Algorithm for Explainable Art Sentiment Analysis in Interior Decoration Environment." Journal of Cases on Information Technology 25, no. 1 (2023): 1–13. http://dx.doi.org/10.4018/jcit.324602.

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Aiming at the problem that most existing models of art sentiment analysis only consider text encoding from the word level, this paper proposes a novel long and short-term memory network-based krill herd algorithm for explainable art sentiment analysis in interior decoration environment. Firstly, multi-scale convolution is used to capture local correlation of different granularity, so as to obtain more semantic information of different levels and form richer text representation. Then, a gating mechanism is introduced to control the path of sentiment information flowing to the aggregation layer.
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Susmi Biswas. ""Exploring Style Satisfaction in Online Fashion Shopping: A Multigroup SEM Analysis Across Economic Strata"." Journal of Information Systems Engineering and Management 10, no. 14s (2025): 505–21. https://doi.org/10.52783/jisem.v10i14s.2320.

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Online shopping has become a pervasive activity on the internet, experiencing substantial growth in recent years, although its full potential has not been fully realized. The internet has opened up new opportunities for organizations to engage effectively with both current and potential customers. Websites play a pivotal role in enabling customers to seamlessly explore, compare, and make online purchases of various products and services, with a particular focus on fashion apparel. This study aims to uncover the diverse factors influencing customer satisfaction with online shopping for fashion
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Xiao, Nanyun, Yan Xu, and Hongcheng Duan. "Research on the Application of Financial Non-performing Assets Appraisal Based on Comprehensive Factor Analysis Method." E3S Web of Conferences 292 (2021): 02059. http://dx.doi.org/10.1051/e3sconf/202129202059.

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The wanton growth of non-performing financial assets is fatal to the entire financial industry. Based on the research background, significance and content of financial non-performing assets, this paper first expounds the concept, classification and formation reasons of financial non-performing assets; secondly, it enumerates the common methods of financial non-performing assets appraisal in China; then, the method is applied to an actual case; finally, this paper analyzes the application of the method in the evaluation of non-performing financial assets, and summarizes the full text. The resea
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Mothe, Josiane. "Analytics Methods to Understand Information Retrieval Effectiveness—A Survey." Mathematics 10, no. 12 (2022): 2135. http://dx.doi.org/10.3390/math10122135.

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Information retrieval aims to retrieve the documents that answer users’ queries. A typical search process consists of different phases for which a variety of components have been defined in the literature; each one having a set of hyper-parameters to tune. Different studies focused on how and how much the components and their hyper-parameters affect the system performance in terms of effectiveness, others on the query factor. The aim of these studies is to better understand information retrieval system effectiveness. This paper reviews the literature of this domain. It depicts how data analyti
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Sanda, Aminu, and John Kuada. "Identification of Effective Leadership Indicators in Ghanaian Retail Banks Using AMOS Based Confirmatory Factor Analysis." International Journal of Applied Mathematics and Informatics 15 (November 16, 2021): 21–29. http://dx.doi.org/10.46300/91014.2021.15.4.

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In the light of the importance of banks to the economic growth process in Ghana, this study sought to identify the determinants of effective leadership style that is appreciated by employees in retail banking firms in Ghana, towards providing practitioners with crucial information that could enable them make informed decisions towards improving the workplace. Using data collected from employees in eleven firms which were analyzed using the AMOS programme, minimum was achieved for the leadership measurement model and the goodness of fit statistics showed that the overall model fit quite well to
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Weber, Emanuel, Martijn W. H. Pinkse, Eda Bener-Aksam, Michael J. Vellekoop, and Peter D. E. M. Verhaert. "Miniaturized Mass-Spectrometry-Based Analysis System for Fully Automated Examination of Conditioned Cell Culture Media." International Journal of Proteomics 2012 (October 4, 2012): 1–8. http://dx.doi.org/10.1155/2012/290457.

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We present a fully automated setup for performing in-line mass spectrometry (MS) analysis of conditioned media in cell cultures, in particular focusing on the peptides therein. The goal is to assess peptides secreted by cells in different culture conditions. The developed system is compatible with MS as analytical technique, as this is one of the most powerful analysis methods for peptide detection and identification. Proof of concept was achieved using the well-known mating-factor signaling in baker’s yeast, Saccharomyces cerevisiae. Our concept system holds 1 mL of cell culture medium and al
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Shogelova, N., S. Sartin, and Z. Omirzhanova. "ANALYSIS OF THE STATE OF THE ZHANASEMEYSKY FORESTRY "SEMEY ORMANY"." Deutsche internationale Zeitschrift für zeitgenössische Wissenschaft 48 (January 16, 2023): 6–8. https://doi.org/10.5281/zenodo.7541071.

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Currently, the situation around forest management is unfavorable for the preservation of the total mass of forests. In general, there are often facts without control logging, incomplete restoration of forests, lack of operational information about the state of individual forest fund allotments and many smaller problems. In the development strategy of our country "Kazakhstan - 2050", the new political course of the established state highlights the process of digitalization of society. During the implementation of the project, it is planned to use GIS technology for the transition to f
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Aziz, Azwan Abd, Rozi Nor Haizan Nor, Yusmadi Yah Jusoh, Wan Nurhayati Wan Ab. Rahman, and Norhayati Mohd. Ali. "Factors Influencing Information Quality of Information Systems: A Systematic Literature Review." JOIV : International Journal on Informatics Visualization 8, no. 3-2 (2024): 1923. https://doi.org/10.62527/joiv.8.3-2.3483.

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In today's digital era, information quality in information systems is essential for organizational effectiveness and decision-making. This systematic literature review aims to assess and synthesize factors influencing information quality across various systems, focusing on key dimensions such as reliability, accessibility, usability, accuracy, completeness, and timeliness. The existing literature is fragmented, lacking an integrated theory that comprehensively addresses the significance of information quality. Thus, a systematic review was conducted following the PRISMA framework to address th
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