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Journal articles on the topic 'Content accuracy'

Author: Grafiati

Published: 3 June 2025

Last updated: 19 July 2025

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1

Blair, J. Pete, Timothy R. Levine, and Allison S. Shaw. "Content in Context Improves Deception Detection Accuracy." Human Communication Research 36, no. 3 (2010): 423–42. http://dx.doi.org/10.1111/j.1468-2958.2010.01382.x.

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2

Evans, William, and Susanna Hornig Priest. "Science content and social context." Public Understanding of Science 4, no. 4 (1995): 327–40. http://dx.doi.org/10.1088/0963-6625/4/4/001.

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Content analysts have made substantial progress in moving beyond the framework in which science news is assessed primarily in terms of accuracy and adequacy, but content-analytic studies of science news remain under-theorized and too narrowly focused. We recommend that content analysts (1) broaden their scope of inquiry to accommodate the great diversity of outlets and audiences for science news, and (2) offer more explicit and rigorous theoretical accounts of content-analytic data. To facilitate this latter recommendation, we suggest that content analysts borrow as needed from recent work in

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Goncharov, Victor. "Content of the concept "accuracy of movements"." Uchenye zapiski universiteta imeni P.F. Lesgafta, no. 88 (June 2012): 21–27. http://dx.doi.org/10.5930/issn.1994-4683.2012.06.88.p21-27.

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Khan, Nazeer B., and Arham N. Chohan. "Accuracy of bottled drinking water label content." Environmental Monitoring and Assessment 166, no. 1-4 (2009): 169–76. http://dx.doi.org/10.1007/s10661-009-0993-7.

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Hellström, Hans-Olov, Ulf Lindh, and Bengt Mjöberg. "Measurement Accuracy of Aluminium Content in Bone." Upsala Journal of Medical Sciences 105, no. 1 (2000): 67–72. http://dx.doi.org/10.1517/03009734000000048.

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6

Gad, Gad, Eyad Gad, Korhan Cengiz, Zubair Fadlullah, and Bassem Mokhtar. "Deep Learning-Based Context-Aware Video Content Analysis on IoT Devices." Electronics 11, no. 11 (2022): 1785. http://dx.doi.org/10.3390/electronics11111785.

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Integrating machine learning with the Internet of Things (IoT) enables many useful applications. For IoT applications that incorporate video content analysis (VCA), deep learning models are usually used due to their capacity to encode the high-dimensional spatial and temporal representations of videos. However, limited energy and computation resources present a major challenge. Video captioning is one type of VCA that describes a video with a sentence or a set of sentences. This work proposes an IoT-based deep learning-based framework for video captioning that can (1) Mine large open-domain vi

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Vítek, M., J. Pulkrábek, L. Vališ, L. David, and J. Wolf. "Improvement of accuracy in the estimation of lean meat content in pig carcasses." Czech Journal of Animal Science 53, No. 5 (2008): 204–11. http://dx.doi.org/10.17221/314-cjas.

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Fat thickness including skin and muscle depth measured on the left carcass side between the second and third from the last rib 70 mm off the dorsal midline were measured in a total of 168 pig hybrid carcasses. The lean meat content was then determined on the basis of simplified dissections of the carcasses. Multiple regressions of the measurements of the fat and muscle thickness on the lean meat content obtained by dissections were used to construct the following basic regression formulae for the ultrasound and probe apparatuses: &gamma;<sub>IS-D-05</sub> = 60.69798 – 0.89211S&

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Geerts, William H., Artemis Diamantouros, Bill Bartle, Linda Kim, and Rita Selby. "Content, Accuracy and Quality of Warfarin Patient Information." Blood 108, no. 11 (2006): 3299. http://dx.doi.org/10.1182/blood.v108.11.3299.3299.

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Abstract Background: Warfarin is a very common, narrow therapeutic index drug which requires clear understanding by patients in order to ensure its safe use. Patients are largely educated about warfarin through written information sheets provided by pharmacies. It is critical that these sheets provide all of the essential information about warfarin use in a format that is accurate and understandable. Objective: The goals of this study were to assess the content and accuracy of warfarin information sheets provided to patients by community pharmacies as well as to assess the reading level of eac

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Lamb, M. C., C. L. Butts, and P. D. Blankenship. "Improving the Accuracy of Electronic Moisture Meters for Runner-Type Peanuts." Peanut Science 40, no. 1 (2013): 3–7. http://dx.doi.org/10.3146/ps11-11.1.

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ABSTRACT Runner-type peanut kernel moisture content (MC) is measured periodically during curing and post harvest processing with electronic moisture meters for marketing and quality control. MC is predicted for 250 g samples of kernels with a mathematical function from measurements of various physical properties. To examine the accuracy of the function used in the Dickey-john GAC2100 for measuring MC of runner-type peanuts, 421 samples were measured with the meter and compared to oven MC data subsequently determined using ASAE Standard S410.1. Peanut moisture content for the peanuts according

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10

Wang, Shuo-Yang, Ming-Hung Wang, and Kuan-Ta Chen. "Boosting OCR Accuracy Using Crowdsourcing." Proceedings of the AAAI Conference on Human Computation and Crowdsourcing 1 (November 3, 2013): 78–79. http://dx.doi.org/10.1609/hcomp.v1i1.13124.

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Book digitizing is an important work in preserving ancient heritages. However, digitizing books contains a series of labor-intensive works, and one of them is to verify optical character recognition (OCR) outcomes. In this paper, we propose a crowdsourceable OCR verification method. Using our method, content holders are able to leverage the power of crowds to complete verification tasks and avoid content leakage. From the experiment results, our method is more efficient and reliable than the traditional method.

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11

Richardson, Peter N. "On the Function, Content, and Accuracy of Graven Images." Die Unterrichtspraxis / Teaching German 24, no. 1 (1991): 10. http://dx.doi.org/10.2307/3530635.

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12

Rodezno, Carolina, and Ray Brown. "Improving accuracy of asphalt content determination by ignition test." Road Materials and Pavement Design 18, sup4 (2017): 112–27. http://dx.doi.org/10.1080/14680629.2017.1389091.

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Alkan, Mehmet, Gurcan Buyuksalih, Umut Gunes Sefercik, and Karsten Jacobsen. "Geometric accuracy and information content of WorldView-1 images." Optical Engineering 52, no. 2 (2013): 026201. http://dx.doi.org/10.1117/1.oe.52.2.026201.

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14

Funder, David C. "Process Versus Content in the Study of Judgmental Accuracy." Psychological Inquiry 1, no. 3 (1990): 207–9. http://dx.doi.org/10.1207/s15327965pli0103_6.

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Wei, Johnny Tian-Zheng, Frederike Zufall, and Robin Jia. "Operationalizing Content Moderation “Accuracy” in the Digital Services Act." Proceedings of the AAAI/ACM Conference on AI, Ethics, and Society 7 (October 16, 2024): 1527–38. http://dx.doi.org/10.1609/aies.v7i1.31744.

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The Digital Services Act, recently adopted by the EU, requires social media platforms to report the ``accuracy'' of their automated content moderation systems. The colloquial term is vague, or open-textured---the literal accuracy (number of correct predictions divided by the total) is not suitable for problems with large class imbalance, and the ground truth and dataset to measure accuracy against is unspecified. Without further specification, the regulatory requirement allows for deficient reporting. In this interdisciplinary work, we operationalize ``accuracy'' reporting by refining legal co

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Bryan, Mersine A., Hailey Gunningham, and Megan A. Moreno. "Content and accuracy of vaccine information on pediatrician blogs." Vaccine 36, no. 5 (2018): 765–70. http://dx.doi.org/10.1016/j.vaccine.2017.11.088.

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Torres, Madeline B., and Amalia Cochran. "Accuracy and content of medical student midclerkship self-evaluations." American Journal of Surgery 211, no. 6 (2016): 1153–57. http://dx.doi.org/10.1016/j.amjsurg.2015.11.030.

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18

Morgan, Alex. "Mindless accuracy: on the ubiquity of content in nature." Synthese 195, no. 12 (2018): 5403–29. http://dx.doi.org/10.1007/s11229-018-02011-w.

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Mooney, Paul, and Renée E. Lastrapes. "Conceptual Replications of the Critical Content Monitoring General Outcome Measure in Science Content." Assessment for Effective Intervention 45, no. 2 (2018): 121–34. http://dx.doi.org/10.1177/1534508418791733.

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We conducted conceptual replications for an online-administered general outcome measure known as critical content monitoring in science. Totally, 547 Grades 4 to 6 students from a rural Louisiana school district participated. Research questions addressed criterion validity, diagnostic accuracy, growth, and social validity concerns. Criterion measures included science and reading/literacy subtests from a state accountability test and a nationally standardized test. Findings indicated moderate to strong concurrent and predictive criterion validity correlations for the overall scores, fair diagno

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Mrs.Seema, Hadke* Borhade Harshada Karande Komal Kharat Shweta Tambe Poonam. "CLOUD-BASED MULTIMEDIA CONTENT COPY DETECTION SYSTEM." INTERNATIONAL JOURNAL OF ENGINEERING SCIENCES & RESEARCH TECHNOLOGY 6, no. 4 (2017): 792–98. https://doi.org/10.5281/zenodo.569964.

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Web has million of multimedia contents such as videos and images. It may happen that each and every multimedia content has duplicated copies. There are lots of mechanism available that provides easy way for editing, publishing or uploading multimedia contents so that it may leads to security problem and also reduplicating the identity of content owner and also loss of revenue to the content owner. So that this system can be used to protect the Illegally redistributed multimedia contents such as 3D videos or images. The main goal of this system is to provide cost efficiency ,rapid development ,

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Salehi, Elahe, and Alireza Karbalaei. "The effect of procedural, content and task repetition on accuracy and fluency in Iranian EFL context." Journal of Language and Literature 6, no. 4 (2015): 148–54. http://dx.doi.org/10.7813/jll.2015/6-4/26.

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Cui, Yaqi, and Qin Yue. "Regional Soil Nutrient Content Prediction Model Based on Big Data." Journal of Physics: Conference Series 2555, no. 1 (2023): 012005. http://dx.doi.org/10.1088/1742-6596/2555/1/012005.

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Abstract Soil nutrients play a decision-making role in environmental management, and the prediction of soil nutrients can be used to achieve precise fertilization and regulate production. In response to the problem of low accuracy of soil nutrient content prediction by traditional prediction models, this paper designs a prediction model of soil nutrient content based on big data statistics. Soil nutrient content data are collected using a spectral collector, and the data are smoothed, standardized, and orthogonalized to eliminate the data that affect the prediction accuracy. The processed spec

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23

Prashjeev Rai, Sadikshya Gyawali, Shuvechhya Bajracharya, Sparsh Nidhi, and Sudeep Shakya. "AI Content Detection." KEC Journal of Science and Engineering 9, no. 1 (2025): 34–44. https://doi.org/10.3126/kjse.v9i1.78343.

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AI (Artificial Intelligence) content detection is the task of predicting if the given content is written by humans or AI. This project is a detection tool aimed at eliminating issues created by AI-generated text content such as fake academic reports and papers, articles, news, misinformation, and propaganda by combining multiple detection methods. Three models, LSTM (Long short-term memory), BERT (Bidirectional Encoder Representations from Transformers), and distilBERT (distilled Bidirectional Encoder Representations from Transformers) were fine-tuned on a small labelled dataset of 2492 rows.

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Budak, Ceren, R. Kelly Garrett, and Daniel Sude. "Better Crowdcoding: Strategies for Promoting Accuracy in Crowdsourced Content Analysis." Communication Methods and Measures 15, no. 2 (2021): 141–55. http://dx.doi.org/10.1080/19312458.2021.1895977.

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Kolovou, Dimitra, Alexander Naumann, Jan Hochweber, and Anna-Katharina Praetorius. "Content-specificity of teachers’ judgment accuracy regarding students’ academic achievement." Teaching and Teacher Education 100 (April 2021): 103298. http://dx.doi.org/10.1016/j.tate.2021.103298.

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26

Metallinos-Katsaras, Elizabeth, Rachel Losak, and Jolene O'Brien. "The Content and Accuracy of the SmartBrief for Nutrition Professionals." Current Developments in Nutrition 6, Supplement_1 (2022): 432. http://dx.doi.org/10.1093/cdn/nzac056.012.

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Abstract Objectives SmartBrief (SB) emails, which include reports on nutrition related research and other topics related to the nutrition profession, are sent on weekdays, by the Academy of Nutrition and Dietetics (AND) to their members. The objective of this study was to describe the content, sources, and accuracy of the summaries (Briefs) provided in the SBs. Methods This was a content analysis of five randomly selected SB email weeks (June 1, 2019-December 1, 2019). Overall, 25 SBs emails containing 267 SB brief summaries (Briefs) were examined. Two researchers abstracted the data with inte

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27

Fitzpatrick, Laura, JoAnne Arcand, Mary L'Abbe, Mengying Deng, Tara Duhaney, and Norm Campbell. "Accuracy of Canadian Food Labels for Sodium Content of Food." Nutrients 6, no. 8 (2014): 3326–35. http://dx.doi.org/10.3390/nu6083326.

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Barański, Jacek, Aleksandra Suchta, Sylwia Barańska, Ivan Klement, Tatiana Vilkovská, and Peter Vilkovský. "Wood Moisture-Content Measurement Accuracy of Impregnated and Nonimpregnated Wood." Sensors 21, no. 21 (2021): 7033. http://dx.doi.org/10.3390/s21217033.

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The influence of the impregnation process of pine wood (Pinus sylvestris L.) samples on the electrical resistance changes and the moisture-content measurement accuracy is presented in this paper. In this study, the resistances of impregnated and nonimpregnated green pine timber harvested from northern Poland were compared. An impregnation method based on a vacuum-pressure chamber was used. Copper salts were applied as the impregnated solutions. The obtained results of the electrical resistance comparison showed a dependence of wood resistance on the moisture content. Higher conductivity occurr

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BIRO, P., O. KNESCHKE, and O. M. THEUSINGER. "Accuracy of calculated volatile agent consumption from fresh gas content." Acta Anaesthesiologica Scandinavica 59, no. 5 (2015): 619–24. http://dx.doi.org/10.1111/aas.12487.

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Brunini, Claudio, and Francisco Javier Azpilicueta. "Accuracy assessment of the GPS-based slant total electron content." Journal of Geodesy 83, no. 8 (2009): 773–85. http://dx.doi.org/10.1007/s00190-008-0296-8.

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31

Nowicki, Barbara L., Barbara Sullivan-Watts, Minsuk K. Shim, Betty Young, and Robert Pockalny. "Factors Influencing Science Content Accuracy in Elementary Inquiry Science Lessons." Research in Science Education 43, no. 3 (2012): 1135–54. http://dx.doi.org/10.1007/s11165-012-9303-4.

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Ma, Baodong, Xuexin Li, Aiman Liang, Yuteng Chen, and Defu Che. "Experimental and Numerical Investigation of Dustfall Effect on Remote Sensing Retrieval Accuracy of Chlorophyll Content." Sensors 19, no. 24 (2019): 5530. http://dx.doi.org/10.3390/s19245530.

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Chlorophyll is the dominant pigment in the photosynthetic light-harvesting complexes that is related to the physiological function of leaves and is responsible for light absorption and energy transfer. Dust pollution has become an environmental problem in many areas in China, indicating that accurately estimating chlorophyll content of vegetation using remote sensing for assessing the vegetation growth status in dusty areas is vital. However, dust deposited on the leaf may affect the chlorophyll content retrieval accuracy. Thus, quantitatively studying the dustfall effect is essential. Using s

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Namwong, Pramote, Panida Songram, and Kriangsak Rukpukdee. "Sarcasm Messages Detection using Hybrid Features Extraction Deriving from Context and Content Sentences on Social Networks." ECTI Transactions on Computer and Information Technology (ECTI-CIT) 19, no. 2 (2025): 248–57. https://doi.org/10.37936/ecti-cit.2025192.259379.

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This research aims to enhance the detection of sarcastic messages in the Thai language across social networks. It involves extracting and analyzing context-based features from messages to identify and differentiate sarcastic content. The study employs deep learning and machine learning techniques to classify these messages. The experimental findings demonstrate that a combination of context-based and content-based features yields the highest accuracy in identification. Specifically, the utilization of a bidirectional Long-Short Term Memory (Bi-LSTM) with 256 nodes, ReLU as the activation funct

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Okamoto, Kazushi, Fangyan Dong, Shinichi Yoshida, and Kaoru Hirota. "Content-Based Image Retrieval via Combination of Similarity Measures." Journal of Advanced Computational Intelligence and Intelligent Informatics 15, no. 6 (2011): 687–97. http://dx.doi.org/10.20965/jaciii.2011.p0687.

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A multiple (dis)similarity measure combination framework via normalization and weighting of measures is proposed to find suitable measure combinations in terms of retrieval accuracy and computational cost. In the combination of Manhattan and Hellinger distances, the computational time is more than 12 times faster and the retrieval accuracy improves or remains at the same level, when compared with Minkowski distance, a measure having the best retrieval accuracy in the single measure scenario. These performances are determined on a visual word based image retrieval system by using the Corel coll

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Ridley, Charles R., and Mary Shaw-Ridley. "Clinical Judgment Accuracy." Counseling Psychologist 37, no. 3 (2007): 400–409. http://dx.doi.org/10.1177/0011000008330830.

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Clinical judgment is foundational to psychological practice. Accurate judgment forms the basis for establishing reasonable goals and selecting appropriate treatments, which in turn are essential in achieving positive therapeutic outcomes. Therefore, Spengler and colleagues' meta-analytic finding—clinical judgment accuracy improves marginally with traditional education, training, and clinical experience—is disconcerting and should serve as a wake-up call. Now is the time to move with urgency. The authors urge the development of a comprehensive, standardized, and scientifically based metatheory

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Zeng, Michelle, Jacqueline Grgurevic, Rayan Diyab, and Rajshri Roy. "#WhatIEatinaDay: The Quality, Accuracy, and Engagement of Nutrition Content on TikTok." Nutrients 17, no. 5 (2025): 781. https://doi.org/10.3390/nu17050781.

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Background: Social media platforms such as TikTok are significant sources of nutrition information for adolescents and young adults, who are vulnerable to unregulated, algorithm-driven content. This often spreads nutrition misinformation, impacting adolescent and young adult health and dietary behaviors. Objectives: While previous research has explored misinformation on other platforms, TikTok remains underexamined, so this study aimed at evaluating the landscape of nutrition-related content on TikTok. Methods: This study evaluated TikTok nutrition-related content by (1) identifying common nut

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Prasetya, Putu Rikky Mahendra, and Gst Ayu Vida Mastrika Giri. "Comparison of Use of Music Content (Tempo) and User Context (Mood) Features On Classification of Music Genre." JELIKU (Jurnal Elektronik Ilmu Komputer Udayana) 8, no. 2 (2020): 191. http://dx.doi.org/10.24843/jlk.2019.v08.i02.p11.

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The development of technology in the current era in the field of multimedia, music is not just entertainment or pleasure. Nowadays, online music growth is greatly increasing, namely, music can be classified by genre. The music genre is the grouping of music according to their resemblance to each other. In previous studies, the system was built with Naive Bayes Classifier which is useful for predicting songs based on the lyrics of the song. In our study, we used a dataset that was divided into several genera, namely Blues, Electronic, R & B, Christian, Hip Hop / Rap, Rock, Country, Jazz, Sk

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Eliyani Eliyani. "Accuracy Analysis Of News Content About Islam On Online Media Radar Bogor." International Journal of Education and Literature 1, no. 1 (2022): 96–107. http://dx.doi.org/10.55606/ijel.v1i1.107.

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Online media news is known for its lack of credibility in conveying information and its lack of prioritizing objectivity (accuracy, fairness , completeness) in pursuit of instantaneousness. There is quite a bit of news that puts Muslims in a corner, creating a negative image of the Islamic religion . This research aims to find out how the Radar Bogor media presents news content, as well as knowing the accuracy of news content about Islam on the Radar Bogor online media. This research uses the library research method or library study using Roland Barthes' Semiotics. The assessment categories in

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Botha, E. J., B. J. Zebarth, and B. Leblon. "Non-destructive estimation of potato leaf chlorophyll and protein contents from hyperspectral measurements using the PROSPECT radiative transfer model." Canadian Journal of Plant Science 86, no. 1 (2006): 279–91. http://dx.doi.org/10.4141/p05-017.

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Optimizing nitrogen (N) fertilization in potato (Solanum tuberosum L.) production by in-season measurements of potato N status may improve fertilizer N-use efficiency. Hyperspectral leaf reflectance and transmittance measurements can be used to assess potato N status by estimating leaf chlorophyll or N contents. This study evaluated the ability of the inverted PROSPECT radiative transfer model to predict leaf chlorophyll and N (as protein) contents. Trials were conducted with Russet Burbank and Shepody potato cultivars under different N fertility rates (0 to 300 kg N ha-1) in 2001 and 2002. Le

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A. Mohammed, Meqdam, Mohammed A. Hussain, Zakariya A. Oraibi, Zaid A. Abduljabbar, and Vincent O. Nyangaresi. "Secure Content Based Image Retrieval System Using Deep Learning." 49 49.2, no. 2 (2023): 94–111. http://dx.doi.org/10.56714/bjrs.49.2.9.

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This paper investigates Content-Based Image Retrieval (CBIR) using an ensemble of three cutting-edge deep learning architectures: Xception, MobileNet, and Inception. This ensemble approach demonstrated exceptional retrieval accuracy, with Xception and Inception models achieving an accuracy of 92.375%, precision and recall of 93% and 92% respectively, and an F1-score of 92%. The MobileNet model also showed strong performance, with an accuracy of 87.125%, precision and recall of 88% and 87%, and an F1-score of 87%.Beyond mere retrieval accuracy, the study places a significant emphasis on the sec

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Adway, Abdallah. "The elements of dramatic treatment and the effectiveness of historical TV drama." Journal of Arab & Muslim Media Research 16, no. 1 (2023): 97–112. http://dx.doi.org/10.1386/jammr_00058_1.

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This study sought to detect the relationship between the elements of dramatic treatment (i.e. characters, information accuracy, content, location and dramatic structure) and the effectiveness of historical drama in order to learn how dramatic treatment actualizes attraction, understanding and interaction. This study used a quantitative method by collecting quantifiable data, and also used the questionnaire as a data collection tool. The population sampled consisted of West Bank Palestinians, who watched one of the most successful historical TV drama series which was entitled . Subsequently, da

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Sidnell, Anne, and Penelope Nestel. "UK Internet antenatal dietary advice: a content accuracy and readability analysis." British Journal of Nutrition 124, no. 10 (2020): 1061–68. http://dx.doi.org/10.1017/s0007114520002135.

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AbstractThe aim of the study was to assess the accuracy and readability of Internet prenatal nutrition advice. Between August and December 2018, 130 Internet pages returned from Google searches on foods to avoid, foods to eat and supplements use were compared with UK government advice for pregnant women. Readability was assessed using the Flesch Readability Ease (FRE) tool. Descriptive and non-parametric tests were used. Spearman’s correlation explored associations between accuracy and readability. Kruskal–Wallis tests with Bonferroni correction were used for multiple pairwise tests and Mann–W

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Setiawan, Hendrik, and Dien Novita. "Analisis Kepuasan Pengguna Aplikasi KAI Access Sebagai Media Pemesanan Tiket Kereta Api Menggunakan Metode EUCS." Jurnal Teknologi Sistem Informasi 2, no. 2 (2021): 162–75. http://dx.doi.org/10.35957/jtsi.v2i2.1375.

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KAI Access merupakan aplikasi yang resmi dari PT KAI, dan dirilis untuk memenuhikebutuhan penumpang baik kereta api jarak jauh, menengah, maupun lokal/komuter. Tujuanpenelitian ini adalah untuk mengetahui apakah terdapat pengaruh dari content, accurancy,format, ease of use dan timeliness terhadap kepuasan pengguna aplikasi KAI Access dan untukmengetahuinya apakah terdapat pengaruh tingkat kepuasan pengguna aplikasi KAI Accesssebagai media pemesanan tiket kereta api. Metode yang digunakan dalam penelitian ini adalahEnd User Computing Satisfaction (EUCS) yang terdiri dari lima faktor, yaitu: isi

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Vesel, Judy, Ashley Greene, Sean Hauschildt, and M. Diane Clark. "Increasing undergraduate student interpreters’ fluency and accuracy in interpreting STEM content." Forum for Linguistic Studies 6, no. 2 (2024): 1179. http://dx.doi.org/10.59400/fls.v6i2.1179.

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Interpreters who are skilled in interpreting science, technology, engineering, and mathematics (STEM) content fluently and accurately are few and far between. This issue is particularly true at the post-secondary level. Those interpreters who are available often do not have command of the vocabulary needed to interpret more specialized content and rely heavily on letter-for-letter fingerspelling and word-for-word transliteration. This project looked at the knowledge of the principles of fingerspelling on undergraduate student interpreters’ ability to interpret typical introductory biology lect

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Sevostianova, Elena, Sanjit Deb, Matteo Serena, Dawn VanLeeuwen, and Bernd Leinauer. "Accuracy of Two Electromagnetic Soil Water Content Sensors in Saline Soils." Soil Science Society of America Journal 79, no. 6 (2015): 1752–59. http://dx.doi.org/10.2136/sssaj2015.07.0271.

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RICE, RONALD E., STEPHEN C. HAYNE, and CAROL E. POLLARD. "CONTENT FACTORS INFLUENCING ACCURACY OF AUTHORSHIPATTRIBUTIONS FOR ANONYMOUS, MEDIATED BRAINSTORMING COMMENTS." Academy of Management Proceedings 1999, no. 1 (1999): C1—C6. http://dx.doi.org/10.5465/apbpp.1999.27622951.

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Furedy, John J., Ruth T. Posner, and Alex Vincent. "Electrodermal differentiation of deception: Perceived accuracy and perceived memorial content manipulations." International Journal of Psychophysiology 11, no. 1 (1991): 91–97. http://dx.doi.org/10.1016/0167-8760(91)90376-9.

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Zhang, Chun-Ting, and Ren Zhang. "Evaluation of Gene-Finding Algorithms by a Content- Balancing Accuracy Index." Journal of Biomolecular Structure and Dynamics 19, no. 6 (2002): 1045–52. http://dx.doi.org/10.1080/07391102.2002.10506807.

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McDonald, Janet L. "Accuracy and stability of cognitive structures and retention of geometric content." Educational Studies in Mathematics 20, no. 4 (1989): 425–48. http://dx.doi.org/10.1007/bf00315609.

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Thackeray, Rosemary, Allison Wright, and Katherine Chipman. "Congenital Cytomegalovirus Reference Material: A Content Analysis of Coverage and Accuracy." Maternal and Child Health Journal 18, no. 3 (2013): 584–91. http://dx.doi.org/10.1007/s10995-013-1275-0.

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