Relevant bibliographies by topics / Conditional mutual information

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Conditional mutual information'

Author: Grafiati
Published: 4 June 2021
Last updated: 26 July 2025

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Journal articles on the topic "Conditional mutual information"

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Zhang, Lin. "Conditional Mutual Information and Commutator." International Journal of Theoretical Physics 52, no. 6 (2013): 2112–17. http://dx.doi.org/10.1007/s10773-013-1505-7.

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Suleykin, A., and R. Mammahajiyev. "MAXIMISATION OF CONDITIONAL MUTUAL INFORMATION." Norwegian Journal of development of the International Science, no. 95 (October 26, 2022): 37–41. https://doi.org/10.5281/zenodo.7258567.

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Liu, Xingtu. "Information-Theoretic Generalization Bounds for Batch Reinforcement Learning." Entropy 26, no. 11 (2024): 995. http://dx.doi.org/10.3390/e26110995.

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We analyze the generalization properties of batch reinforcement learning (batch RL) with value function approximation from an information-theoretic perspective. We derive generalization bounds for batch RL using (conditional) mutual information. In addition, we demonstrate how to establish a connection between certain structural assumptions on the value function space and conditional mutual information. As a by-product, we derive a high-probability generalization bound via conditional mutual information, which was left open and may be of independent interest.
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Loeckx, D., P. Slagmolen, F. Maes, D. Vandermeulen, and P. Suetens. "Nonrigid Image Registration Using Conditional Mutual Information." IEEE Transactions on Medical Imaging 29, no. 1 (2010): 19–29. http://dx.doi.org/10.1109/tmi.2009.2021843.

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Tezuka, Taro, and Shizuma Namekawa. "Information Bottleneck Analysis by a Conditional Mutual Information Bound." Entropy 23, no. 8 (2021): 974. http://dx.doi.org/10.3390/e23080974.

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Task-nuisance decomposition describes why the information bottleneck loss I(z;x)−βI(z;y) is a suitable objective for supervised learning. The true category y is predicted for input x using latent variables z. When n is a nuisance independent from y, I(z;n) can be decreased by reducing I(z;x) since the latter upper bounds the former. We extend this framework by demonstrating that conditional mutual information I(z;x|y) provides an alternative upper bound for I(z;n). This bound is applicable even if z is not a sufficient representation of x, that is, I(z;y)≠I(x;y). We used mutual information neu
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He, Deng Chao, Wen Ning Hao, Gang Chen, and Da Wei Jin. "An Improved Feature Selection Algorithm Based on Parzen Window and Conditional Mutual Information." Applied Mechanics and Materials 347-350 (August 2013): 2614–19. http://dx.doi.org/10.4028/www.scientific.net/amm.347-350.2614.

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In this paper, an improved feature selection algorithm by conditional mutual information with Parzen window was proposed, which adopted conditional mutual information as an evaluation criterion of feature selection in order to overcome the deficiency of feature redundant and used Parzen window to estimate the probability density functions and calculate the conditional mutual information of continuous variables, in such a way as to achieve feature selection for continuous data.
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Zeng, Zilin, Hongjun Zhang, Rui Zhang, and Youliang Zhang. "A Hybrid Feature Selection Method Based on Rough Conditional Mutual Information and Naive Bayesian Classifier." ISRN Applied Mathematics 2014 (March 30, 2014): 1–11. http://dx.doi.org/10.1155/2014/382738.

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We introduced a novel hybrid feature selection method based on rough conditional mutual information and Naive Bayesian classifier. Conditional mutual information is an important metric in feature selection, but it is hard to compute. We introduce a new measure called rough conditional mutual information which is based on rough sets; it is shown that the new measure can substitute Shannon’s conditional mutual information. Thus rough conditional mutual information can also be used to filter the irrelevant and redundant features. Subsequently, to reduce the feature and improve classification accu
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Vu, Vincent Q., Bin Yu, and Robert E. Kass. "Information in the Nonstationary Case." Neural Computation 21, no. 3 (2009): 688–703. http://dx.doi.org/10.1162/neco.2008.01-08-700.

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Information estimates such as the direct method of Strong, Koberle, de Ruyter van Steveninck, and Bialek (1998) sidestep the difficult problem of estimating the joint distribution of response and stimulus by instead estimating the difference between the marginal and conditional entropies of the response. While this is an effective estimation strategy, it tempts the practitioner to ignore the role of the stimulus and the meaning of mutual information. We show here that as the number of trials increases indefinitely, the direct (or plug-in) estimate of marginal entropy converges (with probabilit
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Zhou, HongFang, Yao Zhang, YingJie Zhang, and HongJiang Liu. "Feature selection based on conditional mutual information: minimum conditional relevance and minimum conditional redundancy." Applied Intelligence 49, no. 3 (2018): 883–96. http://dx.doi.org/10.1007/s10489-018-1305-0.

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Shayovitz, Shachar, and Meir Feder. "Universal Active Learning via Conditional Mutual Information Minimization." IEEE Journal on Selected Areas in Information Theory 2, no. 2 (2021): 720–34. http://dx.doi.org/10.1109/jsait.2021.3073842.

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Dissertations / Theses on the topic "Conditional mutual information"

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Ye, Ziwei. "A Label-based Conditional Mutual Information Estimator using Contrastive Loss Functions." Thesis, KTH, Skolan för elektroteknik och datavetenskap (EECS), 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-286781.

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In the field of machine learning, representation learning is a collection of techniques that transform raw data into a technology that can be effectively developed by machine learning. In recent years, deep neural network-based representation learning technology has been widely used in image learning, recognition, classification and other fields, and one of the representative ones is the mutual information estimator/encoder. In this thesis, a new form of contrastive loss function that can be applied to existing mutual information encoder networks is proposed. Deep learning-based representation
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Haan, Benjamin J. "Decomposing Bayesian network representations of distributed sensor interpretation problems using weighted average conditional mutual information /." Available to subscribers only, 2007. http://proquest.umi.com/pqdweb?did=1421626381&sid=1&Fmt=2&clientId=1509&RQT=309&VName=PQD.

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Harding, Peter. "Mutual information for the detection of crush conditions." Thesis, Manchester Metropolitan University, 2012. http://e-space.mmu.ac.uk/315706/.

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Fatal crush conditions occur in crowds with tragic frequency. Event organizers and architects are often criticised for failing to consider the causes and implications of crush conditions, but the reality is that the prediction of such conditions o ers signi cant challenges. This thesis investigates the use of crush metrics in simulation environments, which can be used to help quantify the danger of crush conditions forming during real life evacuations. An investigation is carried out in the use of computer models for the purpose of simulating building evacuation. From this review we identify t
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"Two Novel Methods for Clustering Short Time-Course Gene Expression Profiles." Thesis, 2014. http://hdl.handle.net/10388/ETD-2014-01-1422.

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As genes with similar expression pattern are very likely having the same biological function, cluster analysis becomes an important tool to understand and predict gene functions from gene expression profi les. In many situations, each gene expression profi le only contains a few data points. Directly applying traditional clustering algorithms to such short gene expression profi les does not yield satisfactory results. Developing clustering algorithms for short gene expression profi les is necessary. In this thesis, two novel methods are developed for clustering short gene expression pro files
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Matodzi, Tsedzeni Annah. "A model for enhanced functionality of public libraries as hubs of information for rural community development: Mutale case study." Thesis, 2019. http://hdl.handle.net/11602/1279.

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PhDRDV<br>Institute for Rural Development<br>Providing access to knowledge and connecting it to the needs of individuals as well as grassroots community have always been at the centre of the mission and purpose of public libraries. Numerous studies conducted in various parts of the world have shown that public libraries are the anchor of the lives of communities where they are established. These studies have revealed that information needs may not be the same for different age groups and for different genders. For that reason many countries have been investing in the establishment of comm
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Books on the topic "Conditional mutual information"

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Office, General Accounting. Tax policy: Information on the stock and mutual segments of the life insurance industry : fact sheet for the chairman, Subcommittee on Health, and the chairman, Subcommittee on Select Revenue Measures, Committee on Ways and Means, House of Representatives. The Office, 1988.

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Cevelev, Aleksandr. Strategic development of railway transport logistics. INFRA-M Academic Publishing LLC., 2021. http://dx.doi.org/10.12737/1194747.

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The monograph is devoted to the methodology of material and technical support of railway transport. According to the types of activities, the nature of the material and technical resources used, technologies, means and management systems, Russian railways belong to the category of high-tech industries that must have high quality and technical level, reliability and technological efficiency in operation. For this reason, the logistics system itself, both in structure and in the algorithm of the functions performed as a whole, needs a serious improvement in the quality of its work. The economic
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Bortolotti, Lisa. The Epistemic Innocence of Irrational Beliefs. Oxford University Press, 2020. http://dx.doi.org/10.1093/oso/9780198863984.001.0001.

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Ideally, we would have beliefs that satisfy norms of truth and rationality, as well as fostering the acquisition, retention and use of other relevant information. In reality, we have limited cognitive capacities and are subject to motivational biases on an everyday basis, and may also experience impairments in perception, memory, learning, and reasoning in the course of our lives. Such limitations and impairments give rise to distorted memory beliefs, confabulated explanations, elaborated delusional beliefs, motivated delusional beliefs, and optimistically biased beliefs. In the book, Bortolot
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Shengelia, Revaz. Modern Economics. Universal, Georgia, 2021. http://dx.doi.org/10.36962/rsme012021.

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Economy and mankind are inextricably interlinked. Just as the economy or the production of material wealth is unimaginable without a man, so human existence and development are impossible without the wealth created in the economy. Shortly, both the goal and the means of achieving and realization of the economy are still the human resources. People have long ago noticed that it was the economy that created livelihoods, and the delays in their production led to the catastrophic events such as hunger, poverty, civil wars, social upheavals, revolutions, moral degeneration, and more. Therefore, the
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Book chapters on the topic "Conditional mutual information"

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Gao, Haoyuan, Yifaan Zhang, Linhui Sun, and Jian Cheng. "Action Representing by Constrained Conditional Mutual Information." In Computer Vision – ACCV 2022. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-26316-3_18.

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Latorre Carmona, Pedro, José M. Sotoca, Filiberto Pla, Frederick K. H. Phoa, and José Bioucas Dias. "Feature Selection in Regression Tasks Using Conditional Mutual Information." In Pattern Recognition and Image Analysis. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-21257-4_28.

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Novovičová, Jana, Petr Somol, Michal Haindl, and Pavel Pudil. "Conditional Mutual Information Based Feature Selection for Classification Task." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-76725-1_44.

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Sedghi, Hanie, and Edmond Jonckheere. "On the Conditional Mutual Information in the Gaussian–Markov Structured Grids." In Information and Control in Networks. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-02150-8_9.

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Morán-Fernández, Laura, Eva Blanco-Mallo, Konstantinos Sechidis, Amparo Alonso-Betanzos, and Verónica Bolón-Canedo. "When Size Matters: Markov Blanket with Limited Bit Depth Conditional Mutual Information." In Communications in Computer and Information Science. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-66770-2_18.

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Chitambar, Eric, Benjamin Fortescue, and Min-Hsiu Hsieh. "Distributions Attaining Secret Key at a Rate of the Conditional Mutual Information." In Lecture Notes in Computer Science. Springer Berlin Heidelberg, 2015. http://dx.doi.org/10.1007/978-3-662-48000-7_22.

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Marx, Alexander, Lincen Yang, and Matthijs van Leeuwen. "Estimating Conditional Mutual Information for Discrete-Continuous Mixtures using Multi-Dimensional Adaptive Histograms." In Proceedings of the 2021 SIAM International Conference on Data Mining (SDM). Society for Industrial and Applied Mathematics, 2021. http://dx.doi.org/10.1137/1.9781611976700.44.

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Hachiya, Hirotaka, and Masashi Sugiyama. "Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual Information." In Machine Learning and Knowledge Discovery in Databases. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-15880-3_36.

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Zheng, Ming, and Mugui Zhuo. "Construction of Gene Regulatory Networks Based on Ordered Conditional Mutual Information and Limited Parent Nodes." In Lecture Notes in Electrical Engineering. Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3648-5_230.

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Casacuberta, F. "Maximum mutual information and conditional maximum likelihood estimations of stochastic regular syntax-directed translation schemes." In Grammatical Interference: Learning Syntax from Sentences. Springer Berlin Heidelberg, 1996. http://dx.doi.org/10.1007/bfb0033362.

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Conference papers on the topic "Conditional mutual information"

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Iovino, Marta, Ivan Lazic, Chiara Barà, Luca Faes, and Riccardo Pernice. "Conditional Mutual Information-based Feature Selection for Sex Differences Characterization." In 2024 13th Conference of the European Study Group on Cardiovascular Oscillations (ESGCO). IEEE, 2024. http://dx.doi.org/10.1109/esgco63003.2024.10766964.

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Yang, En-Hui, Shayan Mohajer Hamidi, Linfeng Ye, Renhao Tan, and Beverly Yang. "Conditional Mutual Information Constrained Deep Learning: Framework and Preliminary Results." In 2024 IEEE International Symposium on Information Theory (ISIT). IEEE, 2024. http://dx.doi.org/10.1109/isit57864.2024.10619241.

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Guo, Suolian, Canai Lu, Yuman Luo, Zhangyang Xia, Jiafei Dai, and Jun Wang. "Research on Epileptic EEG Signal Based on Partial Mutual Information and Partial Measure of Conditional Mutual Information from the Mixed Embedding." In 2024 17th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI). IEEE, 2024. https://doi.org/10.1109/cisp-bmei64163.2024.10906091.

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Rey, Anastasiya, and Alexander Shiroky. "Identification of a Set of Permissible Risk Mitigation Measures in a Complex System under Conditions of Mutual Influence of Risk Factors." In 2024 8th International Conference on Information, Control, and Communication Technologies (ICCT). IEEE, 2024. https://doi.org/10.1109/icct62929.2024.10875008.

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Yaakob, Najmiddin, Marc Singer, and David Young. "Elemental Sulfur Corrosion of Carbon Steel in the Presence of Sulfur Solvent and Monoethylene Glycol." In CORROSION 2015. NACE International, 2015. https://doi.org/10.5006/c2015-05930.

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Abstract The objective of this work is to gather information about general and localized corrosion in simulated, highly sour field conditions. A series of autoclave corrosion experiments is carried out to simulate as closely as possible the conditions of a specific gas field containing high levels of H2S and, possibly, elemental sulfur. The main three parameters of interest are the effect of elemental sulfur, sulfur solvent, monoethylene glycol (MEG) and possible mutual interactions between them. The experimental work is carried out in a 20L N10276 autoclave under 4 bars of H2S and 10 bars of
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Sun, Wei, James G. Brigman, Cheng Ji, Pratap Nair, Fangyuan Ma, and Jingde Wang. "Data-Driven Soft Sensors for Process Industries: Case Study on a Delayed Coker Unit." In The 35th European Symposium on Computer Aided Process Engineering. PSE Press, 2025. https://doi.org/10.69997/sct.185205.

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This research addresses the challenges associated with data-driven soft sensors in industrial applications, where successful implementations remain limited. The scarcity of practical applications can be attributed to variable operating conditions and frequent disturbances in real-time processes. Industrial data are often nonlinear, dynamic, and highly unbalanced, complicating efforts to capture the essential characteristics of underlying processes. To tackle these issues, we propose a comprehensive solution for industrial application, that encompasses feature selection, feature extraction, and
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Molavipour, Sina, German Bassi, and Mikael Skoglund. "Conditional Mutual Information Neural Estimator." In ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). IEEE, 2020. http://dx.doi.org/10.1109/icassp40776.2020.9053422.

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Esposito, Amedeo Roberto, Diyuan Wu, and Michael Gastpar. "On conditional Sibson's $\alpha$ -Mutual Information." In 2021 IEEE International Symposium on Information Theory (ISIT). IEEE, 2021. http://dx.doi.org/10.1109/isit45174.2021.9517944.

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Cheng, Hongrong, Zhiguang Qin, Weizhong Qian, and Wei Liu. "Conditional Mutual Information Based Feature Selection." In 2008 International Symposium on Knowledge Acquisition and Modeling (KAM). IEEE, 2008. http://dx.doi.org/10.1109/kam.2008.85.

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Rahimzamani, Arman, and Sreeram Kannan. "Potential conditional mutual information: Estimators and properties." In 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton). IEEE, 2017. http://dx.doi.org/10.1109/allerton.2017.8262877.

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Reports on the topic "Conditional mutual information"

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Bilous, Oksana. FEATURES OF ADVERTISING IN WESTERN UKRAINIAN PRESS. Ivan Franko National University of Lviv, 2024. http://dx.doi.org/10.30970/vjo.2024.54-55.12173.

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In the article, advertising communication is explored in the context of socio-political, socio-economic, and cultural-legal processes in Eastern Galicia (1919–1939); The ideological and educational concept of advertising materials is outlined, and the features of shaping Ukrainian civic-state consciousness, national and universal moral-spiritual values, interethnic mutual respect, and tolerance under the influence of press advertising are characterized. In the four chapters of the monograph, a comprehensive study of the essence of Ukrainian press advertising communication in Eastern Galicia is
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Demchenko, Dmytro. DEMASSIFICATION OF SOCIAL PROCESSES IN THE CONTEXT OF DIGITAL COMMUNICATION (TO THE PROBLEM OF THE DICHOTOMY OF “ELITE-MASS” AS A POLITICAL COMMUNICATION PARADOX). Ivan Franko National University of Lviv, 2024. http://dx.doi.org/10.30970/vjo.2024.54-55.12171.

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The article aims to analyze a complicated process of the society’s main components – elite, mass communication, and masses – in their interaction and interdependence from the historical perspective. Due to industrialization and modernization of the life quality, the social life changes radically, and the essence of every component of the society changes as well. The elite loses its dynastic character. The media stop to play the role of a mediator taking on the obligations of a collective agitator and propagandist, and the mass stops to be cloth for wiping shoes. It starts to form a mass audien
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Lamina, Toyin, Hamdi I. Abdi, Kathryn Behrens, et al. Strategies To Address Racial and Ethnic Disparities in Health and Healthcare: An Evidence Map. Agency for Healthcare Research and Quality (AHRQ), 2024. http://dx.doi.org/10.23970/ahrqepctb46.

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Background. Racial and ethnic disparities in health and healthcare continue to endure in the United States despite efforts in research, practice, and policy. Interventions targeted at patients, clinicians, and/or health systems may offer ways to address disparities and improve health outcomes in prevention/treatment of chronic conditions in adults. Purpose. This evidence map identifies existing interventions to be considered for implementation by healthcare system leaders and policymakers, and to inform researchers and funding agencies on gaps in knowledge and research needs. Methods. We searc
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Veung, Naron. Enhancing the Collaboration between TVET Institutions and the Private Sector in Cambodia: Implications for Skills Provision. Cambodia Development Resource Institute, 2024. https://doi.org/10.64202/cdri.

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Collaboration with the private sector has been an influential tool in addressing a variety of complex issues or problems in both developed and developing economies around the globe. Like many countries, Cambodia has strongly promoted collaboration with the private sector across all education sectors. In the Cambodian TVET sector, the Royal Government of Cambodia has emphasised public-private partnerships (PPP) in its national TVET Policy 2017-2025 and Skills Development Roadmap 2023-2035. Such collaboration can make TVET more industry-relevant by increasing the private sector’s role, duties, a
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Naron, Veung. Enhancing the Collaboration between TVET Institutions and the Private Sector in Cambodia: Implications for Skills Provision. Cambodia Development Resource Institute, 2024. https://doi.org/10.64202/wp-150.

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Collaboration with the private sector has been an influential tool in addressing a variety of complex issues or problems in both developed and developing economies around the globe. Like many countries, Cambodia has strongly promoted collaboration with the private sector across all education sectors. In the Cambodian TVET sector, the Royal Government of Cambodia has emphasised public-private partnerships (PPP) in its national TVET Policy 2017-2025 and Skills Development Roadmap 2023-2035. Such collaboration can make TVET more industry-relevant by increasing the private sector’s role, duties, a
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Veung, Naron. Enhancing the Collaboration between TVET Institutions and the Private Sector in Cambodia: Implications for Skills Provision. Cambodia Development Resource Institute, 2024. https://doi.org/10.64202/wp.150.202411.

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Collaboration with the private sector has been an influential tool in addressing a variety of complex issues or problems in both developed and developing economies around the globe. Like many countries, Cambodia has strongly promoted collaboration with the private sector across all education sectors. In the Cambodian TVET sector, the Royal Government of Cambodia has emphasised public-private partnerships (PPP) in its national TVET Policy 2017-2025 and Skills Development Roadmap 2023-2035. Such collaboration can make TVET more industry-relevant by increasing the private sector’s role, duties, a
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