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Journal articles on the topic 'Latent'

Author: Grafiati

Published: 4 June 2021

Last updated: 25 July 2025

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1

Keeling, R. "Latest developments in latent defects insurance." Property Management 11, no. 3 (1993): 220–25. http://dx.doi.org/10.1108/eum0000000003400.

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Avrahami, Omri, Ohad Fried, and Dani Lischinski. "Blended Latent Diffusion." ACM Transactions on Graphics 42, no. 4 (2023): 1–11. http://dx.doi.org/10.1145/3592450.

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The tremendous progress in neural image generation, coupled with the emergence of seemingly omnipotent vision-language models has finally enabled text-based interfaces for creating and editing images. Handling generic images requires a diverse underlying generative model, hence the latest works utilize diffusion models, which were shown to surpass GANs in terms of diversity. One major drawback of diffusion models, however, is their relatively slow inference time. In this paper, we present an accelerated solution to the task of local text-driven editing of generic images, where the desired edit

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3

Wolfson, Susan J. "Yeats's Latent Keats / Keats's Latent Yeats." PMLA/Publications of the Modern Language Association of America 131, no. 3 (2016): 603–21. http://dx.doi.org/10.1632/pmla.2016.131.3.603.

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Keats's tracks into the nineteenth century angle toward a “modernism” often defined at his expense—yet with latent identifications. In relations of past and present, figurai identifications may register in nuances different from conscious allusion or the psychodramas of influence, ravages and resistance, hauntings and felt belatedness that issue in self-interested misreadings. “Latent Keats” and “Latent Yeats” play into an important, underreported current in both Keats studies and Yeats studies: a “Long Romanticism” in intimate verbal figures that trouble any “Modernism” of definitional differ

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4

McCutcheon, Allen L., Rolf Langeheine, and Jurgen Rost. "Latent Trait and Latent Class Models." Contemporary Sociology 18, no. 5 (1989): 836. http://dx.doi.org/10.2307/2073408.

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5

Guo, J. "Latent class regression on latent factors." Biostatistics 7, no. 1 (2005): 145–63. http://dx.doi.org/10.1093/biostatistics/kxi046.

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Chaudhary, Neha, and Priti Dimri. "LATENT FINGERPRINT IMAGE ENHANCEMENT BASED ON OPTIMIZED BENT IDENTITY BASED CONVOLUTIONAL NEURAL NETWORK." Indian Journal of Computer Science and Engineering 12, no. 5 (2021): 1477–93. http://dx.doi.org/10.21817/indjcse/2021/v12i5/211205124.

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Fingerprints are unique biometric systems (BSs) in which none of the human possesses similar fingerprint structures. It is one of the most significant biometric processes used in the identification of criminals. Latent fingerprints or latents are generated mainly by the finger sweat or oil deposits which is left by the suspects unintentionally. The impressions of latents are blurred or smudgy in nature and not viewed by naked eye. These fingerprints are of low quality, corrupted by noise, degraded by technological factors and exhibit minor details. Latents display consistent structural info wh

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Stevens, Jesse, Daniel N. Wilke, and Isaac I. Setshedi. "Enhancing LS-PIE’s Optimal Latent Dimensional Identification: Latent Expansion and Latent Condensation." Mathematical and Computational Applications 29, no. 4 (2024): 65. http://dx.doi.org/10.3390/mca29040065.

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The Latent Space Perspicacity and Interpretation Enhancement (LS-PIE) framework enhances dimensionality reduction methods for linear latent variable models (LVMs). This paper extends LS-PIE by introducing an optimal latent discovery strategy to automate identifying optimal latent dimensions and projections based on user-defined metrics. The latent condensing (LCON) method clusters and condenses an extensive latent space into a compact form. A new approach, latent expansion (LEXP), incrementally increases latent dimensions using a linear LVM to find an optimal compact space. This study compares

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8

Zhang, Rongchao, Yu Huang, Yiwei Lou, et al. "Exploit Your Latents: Coarse-Grained Protein Backmapping with Latent Diffusion Models." Proceedings of the AAAI Conference on Artificial Intelligence 39, no. 1 (2025): 1111–19. https://doi.org/10.1609/aaai.v39i1.32098.

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Coarse-grained (CG) molecular dynamics of proteins is a preferred approach to studying large molecules on extended time scales by condensing the entire atomic model into a limited number of pseudo-atoms and preserving the thermodynamic properties of the system. However, the significantly increased efficiency impedes the analysis of substantial physicochemical information, since high-resolution atomic details are sacrificed to accelerate simulation. In this paper, we propose LatCPB, a generative approach based on diffusion that enables high-resolution backmapping of CG proteins. Specifically, o

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9

FLORES, RICARDO, SONIA DELGADO, MARÍA-ELENA RODIO, SILVIA AMBRÓS, CARMEN HERNÁNDEZ, and FRANCESCO DI SERIO. "Peach latent mosaic viroid: not so latent." Molecular Plant Pathology 7, no. 4 (2006): 209–21. http://dx.doi.org/10.1111/j.1364-3703.2006.00332.x.

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10

Croon, Marcel. "Latent class analysis with ordered latent classe." British Journal of Mathematical and Statistical Psychology 43, no. 2 (1990): 171–92. http://dx.doi.org/10.1111/j.2044-8317.1990.tb00934.x.

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11

Karbito, Karbito. "Prevalensi dan Faktor Risiko Infeksi TB Laten pada Anggota Keluarga Kontak Serumah dengan Pasien TB Aktif." Jurnal Kesehatan Lingkungan Indonesia 22, no. 3 (2023): 351–58. http://dx.doi.org/10.14710/jkli.22.3.351-358.

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Latar belakang : Menurut WHO, seperempat penduduk dunia telah terinfeksi Mycobacterium tuberculosis (M.tb), 10% akan berkembang menjadi TB aktif, dan 90% dalam bentuk infeksi TB laten. Sekitar 5-10% infeksi TB laten akan berkembang menjadi TB aktif. Anggota keluarga kontak serumah mempunyai risiko tinggi terjadi infeksi TB laten. Penelitian ini bertujuan mengetahui prevalensi dan menganalisis faktor risiko infeksi TB laten pada anggota keluarga kontak serumah pasien TB aktif.Metode : Menggunakan desain cross sectional melalui pelacakan anggota keluarga kontak serumah pasien TB aktif. Sebanyak

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12

Zellweger, Jean-Pierre. "Latent Tuberculosis Infection." European Respiratory & Pulmonary Diseases 4, no. 1 (2018): 21. http://dx.doi.org/10.17925/erpd.2018.4.1.21.

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Tuberculosis (TB) is a major global public health problem and is the leading cause of death linked to a single pathogen, ranking above human immunodeficiency virus (HIV).<sup>1</sup> Clinically, TB has been categorised as active disease (patients who are generally symptomatic and may be infectious if pulmonary involvement is present) and latent infection (asymptomatic and not infectious, but at variable risk for progression to active TB disease). It is increasingly being recognised that latent TB infection (LTBI) reflects diverse responses to infection with Mycobacterium tuberculosis and may l

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13

Hiraoka, Tatsuya, Sho Takase, Kei Uchiumi, Atsushi Keyaki, and Naoaki Okazaki. "Recurrent Neural Hidden Markov Model for High-order Transition." ACM Transactions on Asian and Low-Resource Language Information Processing 21, no. 2 (2022): 1–15. http://dx.doi.org/10.1145/3476511.

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We propose a method to pay attention to high-order relations among latent states to improve the conventional HMMs that focus only on the latest latent state, since they assume Markov property. To address the high-order relations, we apply an RNN to each sequence of latent states, because the RNN can represent the information of an arbitrary-length sequence with their cell: a fixed-size vector. However, the simplest way, which provides all latent sequences explicitly for the RNN, is intractable due to the combinatorial explosion of the search space of latent states. Thus, we modify the RNN to r

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14

Karbito, Karbito, Azhari Muslim, and Helina Helmy. "Analisis Faktor Paparan dan Faktor Lingkungan Tempat Tinggal dengan Kejadian Infeksi Tuberkulosis Laten (Studi pada Keluarga Pasien Tuberkulosis Aktif di Kota Semarang - Jawa Tengah)." Jurnal Kesehatan Lingkungan Indonesia 23, no. 3 (2024): 311–19. http://dx.doi.org/10.14710/jkli.23.3.311-319.

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Latar belakang : Tuberkolusis merupakan salah satu penyakit infeksi menular yang masih menjadi permasalahan serius di negara-negara berkembang dan terbelakang, termasuk Indonesia. Diperkirakan 25% populasi penduduk dunia telah terinfeksi Mycobacterium tuberculosis (M.tb), sebanyak 10% diantaranya berkembang menjadi penyakit aktif, dan sisanya (90%) akan mempertahankan diri dalam bentuk tuberkulosis laten. Antara 5-10% infeksi tuberkolusis laten akan berkembang menjadi tuberkolusis aktif. Hal ini berarti infeksi tuberkolusis laten menjadi kantung dan sumber utama kejadian dan penularan tuberkul

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15

IQBAL, JAVED, ALTAF HUSSAIN MALIK, and Aftab JAMIL. "LATENT TUBERCULOSIS;." Professional Medical Journal 19, no. 01 (2012): 059–62. http://dx.doi.org/10.29309/tpmj/2012.19.01.1949.

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Objectives: To assess the degree to which Latent Tuberculosis exist among long–term inmates in jail. Study Design:Prospective Cohort Analytic Experimental Quantitative Data. Setting and Period: Jails at Bahawalpur between 2009-2010. Methods: Wemonitored the Mountex Test of prisoners within 48 to 72 h and those who were 10 mm or more were considered positive and for HIV positive 5mm criteria were set to declare positive. Group 1-who were in jail for more than a year and those, Group- 2-who were in jail for less than onemonth. Data was collected on a proforma. Each prisoner had thorough clinical

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16

Toister, Yanai. "Latent digital." Journal of Visual Art Practice 19, no. 2 (2020): 125–36. http://dx.doi.org/10.1080/14702029.2019.1701915.

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17

Pino-Ojeda, Walescka. "Latent Image." Latin American Perspectives 36, no. 5 (2009): 133–46. http://dx.doi.org/10.1177/0094582x09341980.

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18

Brodsky, M. C. "Latent heliotropism." British Journal of Ophthalmology 86, no. 12 (2002): 1327–28. http://dx.doi.org/10.1136/bjo.86.12.1327.

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19

BRENNAN, MICHAEL J. "Latent Assets." Journal of Finance 45, no. 3 (1990): 709–30. http://dx.doi.org/10.1111/j.1540-6261.1990.tb05102.x.

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20

Walton, Gregory M., and Steven J. Spencer. "Latent Ability." Psychological Science 20, no. 9 (2009): 1132–39. http://dx.doi.org/10.1111/j.1467-9280.2009.02417.x.

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Past research has assumed that group differences in academic performance entirely reflect genuine differences in ability. In contrast, extending research on stereotype threat, we suggest that standard measures of academic performance are biased against non-Asian ethnic minorities and against women in quantitative fields. This bias results not from the content of performance measures, but from the context in which they are assessed—from psychological threats in common academic environments, which depress the performances of people targeted by negative intellectual stereotypes. Like the time of

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21

Lathouri, Marina. "Latent Modernities." Architectural Theory Review 24, no. 1 (2020): 116–19. http://dx.doi.org/10.1080/13264826.2020.1795975.

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22

Sweet, John. "Latent Meanings." Theology 112, no. 870 (2009): 403–9. http://dx.doi.org/10.1177/0040571x0911200602.

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23

Koul, AjazNabi. "Latent tuberculosis." Lung India 33, no. 3 (2016): 352. http://dx.doi.org/10.4103/0970-2113.180963.

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24

Persing, David H. "Latent Tuberculosis." Journal of Molecular Diagnostics 17, no. 1 (2015): 2–3. http://dx.doi.org/10.1016/j.jmoldx.2014.08.004.

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25

Ettema, Dick. "Latent Activities." Transportation Research Record: Journal of the Transportation Research Board 1926, no. 1 (2005): 171–80. http://dx.doi.org/10.1177/0361198105192600120.

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This paper describes a discrete continuous Tobit model of activity participation and duration. The model extends existing models by accounting for multiple activities and the effect of travel time needed for activity participation on time allocation. The effect of travel time was operationalized by incorporating the travel time ratio into the time allocation procedure. The model was tested on a Dutch data set and appears to outperform less advanced models. The model provides a useful tool for assessing the effect of spatial and transportation policies on individuals’ time allocation and their

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26

Reichman, Lee B., Anita Khilall, and Alfred A. Lardizabal. "Whither “latent”?" Lancet Infectious Diseases 17, no. 8 (2017): 802. http://dx.doi.org/10.1016/s1473-3099(17)30401-2.

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27

Chandra, Divay, Babith J. Manikdiyil, Elizabeth Guy, and Richard J. Hamill. "Latent Enigma." American Journal of Medicine 119, no. 7 (2006): 581–83. http://dx.doi.org/10.1016/j.amjmed.2006.05.020.

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28

Lucero, Jorge. "Latent Article." Teaching Artist Journal 1, no. 2 (2003): 100–101. http://dx.doi.org/10.1207/s1541180xtaj0102-06.

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29

Fehervari, Zoltan. "Latent enhancement." Nature Immunology 14, no. 3 (2013): 204. http://dx.doi.org/10.1038/ni.2558.

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30

Fieldhouse, Ed, and Andrew Russell. "Latent Liberalism?" Party Politics 7, no. 6 (2001): 711–38. http://dx.doi.org/10.1177/1354068801007006003.

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31

Ahlskog, Gary. "Latent Theology." Psychotherapy Patient 1, no. 3 (1985): 63–70. http://dx.doi.org/10.1300/j358v01n03_07.

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32

Pearson, Eric F. "Latent evidence." Forensic Science International 46, no. 1-2 (1990): 41–45. http://dx.doi.org/10.1016/0379-0738(90)90132-i.

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33

Brodsky, Michael C. "Latent Nystagmus." Archives of Ophthalmology 122, no. 2 (2004): 202. http://dx.doi.org/10.1001/archopht.122.2.202.

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34

Kamale, VN, Sawant Sandeep, and NC Mohanty. "Latent tuberculosis." Journal of the Pediatrics Association of India 3, no. 4 (2014): 182. http://dx.doi.org/10.4103/2667-3592.300968.

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35

Gradstein, Libe, Herschel P. Goldstein, Sheryl S. Wizov, and Robert D. Reinecke. "Extended Slow Phase in Latent/Manifest Latent Nystagmus." Investigative Opthalmology & Visual Science 45, no. 4 (2004): 1139. http://dx.doi.org/10.1167/iovs.03-0324.

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36

Lee, Jung Wun, and Hwan Chung. "Latent class analysis with multiple latent group variables." Communications for Statistical Applications and Methods 24, no. 2 (2017): 173–91. http://dx.doi.org/10.5351/csam.2017.24.2.173.

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37

Xu, Gongjun, and Zhuoran Shang. "Identifying Latent Structures in Restricted Latent Class Models." Journal of the American Statistical Association 113, no. 523 (2018): 1284–95. http://dx.doi.org/10.1080/01621459.2017.1340889.

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PATMAWATI, Andi Sunyoto, and Emha Taufiq Luthfi. "AUGMENTASI DATA MENGGUNAKAN DCGAN PADA GAMBAR TANAH." TEKNIMEDIA: Teknologi Informasi dan Multimedia 4, no. 1 (2023): 45–42. http://dx.doi.org/10.46764/teknimedia.v4i1.100.

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Beberapa penelitian terkait klasifikasi jenis tanah telah dibanyak dilakukan. Namun, masing-masing penelitian tersebut menggunakan dataset yang berbeda. Hanya sebagian kecil peneliti yang membagikan dataset citra tanah secara public. Selain itu, dataset yang dipublish memiliki ketidakseimbangan jumlah data pada setiap kelasnya yang akan menghasilkan performa model yang buruk atau over fit, khususnya deep learning. Dengan augmentation data, variasi data baru dapat terbentuk sehingga dapat menangani masa-lah keterbatasan jumlah dataset. Salah satu model augmentasi modern DCGAN yang merupakan per

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Dado, Thirza, Paolo Papale, Antonio Lozano, et al. "Brain2GAN: Feature-disentangled neural encoding and decoding of visual perception in the primate brain." PLOS Computational Biology 20, no. 5 (2024): e1012058. http://dx.doi.org/10.1371/journal.pcbi.1012058.

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A challenging goal of neural coding is to characterize the neural representations underlying visual perception. To this end, multi-unit activity (MUA) of macaque visual cortex was recorded in a passive fixation task upon presentation of faces and natural images. We analyzed the relationship between MUA and latent representations of state-of-the-art deep generative models, including the conventional and feature-disentangled representations of generative adversarial networks (GANs) (i.e., z- and w-latents of StyleGAN, respectively) and language-contrastive representations of latent diffusion net

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40

Borkowska, Dagmara I., Agnieszka M. Napiórkowska, Sylwia A. Brzezińska, Monika Kozińska, Anna T. Zabost, and Ewa M. Augustynowicz-Kopeć. "From Latent Tuberculosis Infection to Tuberculosis. News in Diagnostics (QuantiFERON-Plus)." Polish Journal of Microbiology 66, no. 1 (2017): 5–8. http://dx.doi.org/10.5604/17331331.1234987.

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It is estimated that one third of the world’s population have latent tuberculosis infection and that this is a significant reservoir for future tuberculosis cases. Most cases occur within two years following initial infection. The identification of individuals with latent tuberculosis infection is difficult due to the lack of an ideal diagnostic assay and incomplete understanding of latent infection. Currently, there are three tests: the oldest tuberculin skin test, T-SPOT.TB and the latest QuantiFERON-Plus for the detection of Mycobacterium tuberculosis infection. The interpretation of the te

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41

Collins, Linda M., and Stuart E. Wugalter. "Latent Class Models for Stage-Sequential Dynamic Latent Variables." Multivariate Behavioral Research 27, no. 1 (1992): 131–57. http://dx.doi.org/10.1207/s15327906mbr2701_8.

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42

Stout, Jason E., Yanjue Wu, Christine S. Ho, et al. "Evaluating latent tuberculosis infection diagnostics using latent class analysis." Thorax 73, no. 11 (2018): 1062–70. http://dx.doi.org/10.1136/thoraxjnl-2018-211715.

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BackgroundLack of a gold standard for latent TB infection has precluded direct measurement of test characteristics of the tuberculin skin test and interferon-γ release assays (QuantiFERON Gold In-Tube and T-SPOT.TB).ObjectiveWe estimated test sensitivity/specificity and latent TB infection prevalence in a prospective, US-based cohort of 10 740 participants at high risk for latent infection.MethodsBayesian latent class analysis was used to estimate test sensitivity/specificity and latent TB infection prevalence among subgroups based on age, foreign birth outside the USA and HIV infection.Result

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43

Asparouhov, Tihomir, and Bengt Muthén. "Residual Associations in Latent Class and Latent Transition Analysis." Structural Equation Modeling: A Multidisciplinary Journal 22, no. 2 (2014): 169–77. http://dx.doi.org/10.1080/10705511.2014.935844.

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44

Sofya, Nora Dery, Ekastini Ekastini, and Koko Hermanto. "ANALISIS INDIKATOR PENYUSUN VARIABEL LATEN YANG MEMPENGARUHI KINERJA PEMASARAN TENUN KRE’ ALANG." JURNAL ILMIAH GLOBAL EDUCATION 4, no. 4 (2023): 2124–32. http://dx.doi.org/10.55681/jige.v4i4.1382.

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Before knowing the factors that influence competitive advantage and marketing performance of Kre' Alang weaving, it must first determine the indicators that have a relationship with the latent variables. The method used to analyze this is confirmatory factor analysis. This method is used to provide information whether the model that has been modeled is in accordance with the hypothesis that has been formulated. The results of the study show that the latent variables for technology orientation are composed by the use of the latest technology, accelerating service to customers, supporting the in

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45

Hickendorff, Marian, Peter A. Edelsbrunner, Jake McMullen, Michael Schneider, and Kelly Trezise. "Informative tools for characterizing individual differences in learning: Latent class, latent profile, and latent transition analysis." Learning and Individual Differences 66 (August 2018): 4–15. http://dx.doi.org/10.1016/j.lindif.2017.11.001.

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46

Bray, Bethany C., and John J. Dziak. "Commentary on latent class, latent profile, and latent transition analysis for characterizing individual differences in learning." Learning and Individual Differences 66 (August 2018): 105–10. http://dx.doi.org/10.1016/j.lindif.2018.06.001.

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47

Irham Fatin Fadhilah and Lisnur Wachidah. "Analisis Mediasi dalam PLS-SEM untuk Pemodelan Kepuasan Pemustaka pada UPT Perpustakaan Universitas Islam Bandung." Bandung Conference Series: Statistics 3, no. 2 (2023): 610–20. http://dx.doi.org/10.29313/bcss.v3i2.8864.

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Abstract. In the SEM method, multivariate analysis shows how a series of causal interactions are represented in a path diagram. Mediation analysis in PLS-SEM has the ability to interpret the indirect effect of each exogenous latent variable on endogenous latent variable in the model. This study aims to investigate the role of service quality intermediaries in the relationship between employee competence, library collections, library layout, and user satisfaction in the model analyzed using mediation analysis in PLS-SEM. In this study, primary data was used from active undergraduate students at

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48

Mindrila, Diana. "Latent Class Analysis." International Journal for Cross-Disciplinary Subjects in Education 11, no. 2 (2020): 4323–28. http://dx.doi.org/10.20533/ijcdse.2042.6364.2020.0529.

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49

Reed, Phil. "Blocking latent inhibition." Bulletin of the Psychonomic Society 29, no. 4 (1991): 292–94. http://dx.doi.org/10.3758/bf03333922.

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50

Cubitt, Sean. "The Latent Image." International Journal of the Image 1, no. 2 (2011): 27–38. http://dx.doi.org/10.18848/2154-8560/cgp/v01i02/44189.

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