Thematische Bibliographien / Knowledge and causality

Inhaltsverzeichnis

  1. Zeitschriftenartikel
  2. Dissertationen
  3. Bücher
  4. Buchteile
  5. Konferenzberichte
  6. Berichte der Organisationen

Auswahl der wissenschaftlichen Literatur zum Thema „Knowledge and causality“

Autor: Grafiati
Veröffentlicht am 18. Mai 2024

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Zeitschriftenartikel zum Thema "Knowledge and causality"

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Casullo, Albert. "Causality, Reliabilism, and Mathematical Knowledge." Philosophy and Phenomenological Research 52, no. 3 (1992): 557. http://dx.doi.org/10.2307/2108208.

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KAYA, Emrah. "İbn Haldûn’un Nedensellik ve Rasyonel Bilgi Düşüncesine Eleştirel Bir Yaklaşım." ULUM 3, no. 2 (2020): 241–61. http://dx.doi.org/10.54659/ulum.798914.

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The purpose of this study is to critically approach the thoughts of causality and rational knowledge in Ibn Khaldūn, who is one of the greatest names of Islamic philosophy. Ibn Khaldūn, who is a tremendously competent sociologist, historian, and politician, constituted his work entitled Muqaddima in a way exhibiting the science of ʿumrān. One of the fundamentals of science undoubtedly is the theory of causality. We see that Ibn Khaldūn, who construed everything in the universe in the light of the causality, does not use the same theory when miracles and supernatural events are in question. Thi
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Bénichou, Christian. "Medical Knowledge: The Essential of Causality Assessment." Drug Information Journal 29, no. 1 (1995): 315–18. http://dx.doi.org/10.1177/009286159502900136.

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Pechsiri, Chaveevan, and Asanee Kawtrakul. "Mining Causality for Explanation Knowledge from Text." Journal of Computer Science and Technology 22, no. 6 (2007): 877–89. http://dx.doi.org/10.1007/s11390-007-9093-8.

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Wu, Sifan, Ruihui Zhao, Yefeng Zheng, Jian Pei, and Bang Liu. "Identify Event Causality with Knowledge and Analogy." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 11 (2023): 13745–53. http://dx.doi.org/10.1609/aaai.v37i11.26610.

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Event causality identification (ECI) aims to identify the causal relationship between events, which plays a crucial role in deep text understanding. Due to the diversity of real-world causality events and difficulty in obtaining sufficient training data, existing ECI approaches have poor generalizability and struggle to identify the relation between seldom seen events. In this paper, we propose to utilize both external knowledge and internal analogy to improve ECI. On the one hand, we utilize a commonsense knowledge graph called ConceptNet to enrich the description of an event sample and revea
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Herrero, J. C., and J. Mira. "Causality levels in SCHEMA: A knowledge edition interface." IEE Proceedings - Software 147, no. 5 (2000): 193. http://dx.doi.org/10.1049/ip-sen:20000900.

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Canali, Stefano. "Big Data, epistemology and causality: Knowledge in and knowledge out in EXPOsOMICS." Big Data & Society 3, no. 2 (2016): 205395171666953. http://dx.doi.org/10.1177/2053951716669530.

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Usó-Domenech, Jose-Luis, Josué Antonio Nescolarde-Selva, and Miguel Lloret-Climent. "Causality in complex systems." Kybernetes 46, no. 4 (2017): 590–602. http://dx.doi.org/10.1108/k-08-2016-0195.

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Purpose The purpose of this paper is the study of the causal relationship. The concept called “naive” causality can be stated more generally as the belief (or knowledge) that results follow actions, and that these results are not random, but are consistently linked with causes. The authors have thus formed a very general and precarious concept of causality, but one that appropriately reflects the meaning of causality at the level of common sense. Design/methodology/approach Mathematical and logical development of the causality in complex systems. Findings There are three aspects of rationality
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Niu, Guanglin, and Bo Li. "Logic and Commonsense-Guided Temporal Knowledge Graph Completion." Proceedings of the AAAI Conference on Artificial Intelligence 37, no. 4 (2023): 4569–77. http://dx.doi.org/10.1609/aaai.v37i4.25579.

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A temporal knowledge graph (TKG) stores the events derived from the data involving time. Predicting events is extremely challenging due to the time-sensitive property of events. Besides, the previous TKG completion (TKGC) approaches cannot represent both the timeliness and the causality properties of events, simultaneously. To address these challenges, we propose a Logic and Commonsense-Guided Embedding model (LCGE) to jointly learn the time-sensitive representation involving timeliness and causality of events, together with the time-independent representation of events from the perspective of
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Stearns, Justin. "“All Beneficial Knowledge is Revealed”:." islamic law and society 21, no. 1-2 (2014): 49–80. http://dx.doi.org/10.1163/15685195-02112p02.

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The intellectual history of the Muslim world during the post-formative period is poorly understood compared to the centuries in which the initial development of the principal Islamic intellectual traditions occurred. This article examines the legal status of the natural sciences in the thought of the Moroccan scholar al-Ḥasan al-Yūsī (d. 1102/1691) and his contemporaries, both in terms of the categorization of knowledge and in terms of developments in conceptions of causality in post-formative Ashʿarī theology. In the latter respect, al-Yūsī’s writings on causality are compared to those of his
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Dissertationen zum Thema "Knowledge and causality"

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Arnoldi, Jakob. "Uncertain knowledge." Thesis, Goldsmiths College (University of London), 2002. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.270396.

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Roy, Sukumar Chandra. "Knowledge and causality : a critical analysis." Thesis, University of North Bengal, 2007. http://hdl.handle.net/123456789/62.

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Deluca, Paolo. "Children's understanding the inside of the body, illness and death." Thesis, Lancaster University, 2000. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.369463.

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Airulla, Barbara. "The benefits of Arts Education: an investigation of causality and individual perceptions." The Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc_num=osu1085587568.

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Sivaramakrishnan, Malathi. "Reasoning about causality and treatment of childhood nutritional deficiencies in rural India : role of indigenous knowledge and practices." Thesis, McGill University, 1991. http://digitool.Library.McGill.CA:80/R/?func=dbin-jump-full&object_id=70231.

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This study examines the relative influence of traditional and biomedical theories of health and disease on the reasoning about childhood nutritional problems by mothers in rural South India. Mothers with different levels of schooling, traditional practitioners, and medical experts were interviewed. Their explanations of nutritional problems were verbally recorded and analysed using methods of cognitive analyses.<br>Nutritional concepts and their interpretations given in the mothers' explanations matched that of the traditional theory of Siddha medicine, prevalent in South India. With an increa
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Ma, Yunpu [Verfasser], and Volker [Akademischer Betreuer] Tresp. "Learning with relational knowledge in the context of cognition, quantum computing, and causality / Yunpu Ma ; Betreuer: Volker Tresp." München : Universitätsbibliothek der Ludwig-Maximilians-Universität, 2020. http://d-nb.info/1219852333/34.

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Titi, Neziswa V. V. "Children’s perceptions of the causation and prevention of childhood burn injuries." Thesis, UWC, 2011. http://hdl.handle.net/11394/3076.

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Magister Psychologiae - MPsych<br>South Africa has a high rate of children’s burn injuries with 1300 deaths annually. These burn injuries are considered preventable and South African research has identified this as a priority concern. South African childhood burn injury studies have mainly focused on expert and parents’/caregivers’ descriptions and accounts. Despite their particular vulnerability, children’s perspectives have not been consistently accommodated in the identification of childhood injury risk phenomena or in the development and implementation of safety interventions. Using a qual
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Matava, Robert Joseph. "Divine causality and human free choice : Domingo Báñez and the Controversy de Auxiliis." Thesis, University of St Andrews, 2010. http://hdl.handle.net/10023/989.

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This dissertation considers the mystery of the relationship between human free choice and God by focusing on the Controversy de Auxiliis (1582-1607) and the thought of Domingo Báñez, O.P. (1528-1604) in particular. The dissertation comprises four chapters and a conclusion preceded by a preface and brief historical introduction. The preface introduces the issue to be explored and the motivations for exploring it before providing a general synopsis of the dissertation that is more detailed than the present abstract. The historical summary that follows introduces a theological debate that has b
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Talucci, Sam. "Leadership development as reflexive practice." Thesis, University of Hertfordshire, 2012. http://hdl.handle.net/2299/8966.

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This thesis examines Leadership Development in both a corporate setting and an expedition-based setting. The assumptions that are the foundations of current Leadership Development originate, and are informed by, aspects of the natural sciences. These methods are critiqued in terms of usability and applicability in the context of human relating. An alternative approach is investigated based on nonlinear causality and the complex responsive process of relating using the work of Stacey (2003, 2007, 2010), Stacey and Griffin (2005), Stacey et al. (2000). What is explored is the Leader as expert an
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Lacroix, Daniel. "Comment évoluent chez les élèves de CE2 les notions d'ombre et de lumière ?" Grenoble 1, 1996. http://www.theses.fr/1996GRE10088.

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Cette these decrit l'evolution des connaissances des eleves de 6 a 11 ans concernant l'ombre et la lumiere provoquee par un enseignement relatif aux ombres. L'action pedagogique a pour but de favoriser la recherche par des eleves, d'une explication causale commune a deux phenomenes, celui des ombres et celui des taches lumineuses, phenomenes qui donnent lieu initialement a deux explications distinctes. Comme le cadre theorique le laissait prevoir, les contraintes: proprietes degagees des situations observees, connaissances utilisees dans des champs proches, principes qui constituent le systeme
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Bücher zum Thema "Knowledge and causality"

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Bertossi, Leopoldo, and Guohui Xiao, eds. Reasoning Web. Causality, Explanations and Declarative Knowledge. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-31414-8.

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Laudisa, Federico. La causalità. 2nd ed. Carocci, 2010.

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Laudisa, Federico. Causalità: Storia di un modello di conoscenza. Carocci, 1999.

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Gorshkova, Natal'ya, Tat'yana Zezyulina, Sergey Pichugin, et al. Criminology: General and Special parts. INFRA-M Academic Publishing LLC., 2023. http://dx.doi.org/10.12737/1899602.

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In the textbook, within the framework of the General part of Criminology, the main modern scientific views on crime, the identity of the criminal, the determinants of crime in Russia, the crime prevention system are revealed.&#x0D; Within the framework of a Special part of criminology, the fundamental knowledge about crime, its causality and counteraction measures are differentiated and specified in priority areas corresponding to a particular type of crime. The organizational foundations of the prevention of certain types of crime are outlined, the features, forms, methods and means of preven
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service), SpringerLink (Online, ed. Epistemology and Probability: Bohr, Heisenberg, Schrödinger, and the Nature of Quantum-Theoretical Thinking. Springer-Verlag New York, 2010.

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Critical realism, post-positivism, and the possibility of knowledge. Routledge, 2004.

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Kant, Immanuel. Critique of pure reason. Dent, 1991.

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Kant, Immanuel. Critique de la raison pure. Bordas, 1988.

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Kant, Immanuel. Kritika sposobnosti suzhdenii︠a︡. Iskusstvo, 1994.

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Causation and universals. Routledge, 1990.

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Buchteile zum Thema "Knowledge and causality"

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Mohammad, Yasser, and Toyoaki Nishida. "Causality Analysis." In Advanced Information and Knowledge Processing. Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-25232-2_5.

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Cheyne, Colin. "Platonism and Causality." In Knowledge, Cause, and Abstract Objects. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9747-0_1.

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Cheyne, Colin. "Existence Claims and Causality." In Knowledge, Cause, and Abstract Objects. Springer Netherlands, 2001. http://dx.doi.org/10.1007/978-94-015-9747-0_7.

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Hewitson, Mark. "Theories of Action and the Archaeology of Knowledge." In History and Causality. Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137372406_7.

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Behzadi, Sahar, Kateřina Hlaváčková-Schindler, and Claudia Plant. "Granger Causality for Heterogeneous Processes." In Advances in Knowledge Discovery and Data Mining. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-16142-2_36.

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Borgoni, Riccardo, Donata Marasini, and Piero Quatto. "Control Sample, Association and Causality." In Studies in Classification, Data Analysis, and Knowledge Organization. Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-11363-5_58.

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Marwala, Tshilidzi. "Correlations Versus Causality Approaches to Economic Modeling." In Advanced Information and Knowledge Processing. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-5010-7_8.

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Boukhris, Imen, Salem Benferhat, and Zied Elouedi. "Ascribing Causality from Interventional Belief Function Knowledge." In Advances in Intelligent and Soft Computing. Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29461-7_27.

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Yang, Fan, Ping Duan, Sirish L. Shah, and Tongwen Chen. "Capturing Connectivity and Causality from Process Knowledge." In Capturing Connectivity and Causality in Complex Industrial Processes. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-05380-6_4.

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Peoples, Katarzyna, and Adam Drozdek. "Inborn Knowledge of Space, Causality, and Number." In Using the Socratic Method in Counseling. Routledge, 2017. http://dx.doi.org/10.4324/9781315202464-4.

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Konferenzberichte zum Thema "Knowledge and causality"

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Pivoev, Vasiliy M. "CAUSALITY AND MOTIVATION IN SOCIAL KNOWLEDGE." In Problems of sociocultural evolution of Russia and its regions. Tula State Lev Tolstoy Pedagogical University, 2018. http://dx.doi.org/10.22405/978-5-6041453-4-0-2018-386-393.

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Dasgupta, Tirthankar, Manjira Sinha, and Abir Naskar. "Knowledge Induced Transformer Network for Causality Prediction." In WWW '24: The ACM Web Conference 2024. ACM, 2024. http://dx.doi.org/10.1145/3589335.3651531.

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Fay, Damien, Gautam S. Thakur, Pan Hui, and Ahmed Helmy. "Knowledge Discovery and Causality in Urban City Traffic." In the Sixth ACM SIGSPATIAL International Workshop. ACM Press, 2013. http://dx.doi.org/10.1145/2533828.2533836.

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Yang, Dandan, Huanhuan Chen, Yinlong Song, and Zhichen Gong. "Granger Causality for Multivariate Time Series Classification." In 2017 IEEE International Conference on Big Knowledge (ICBK). IEEE, 2017. http://dx.doi.org/10.1109/icbk.2017.36.

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Wajnberg, Mickael, Petko Valtchev, Mario Lezoche, Hervé Panetto, and Alexandre Blondin Massé. "Mining Process Factor Causality Links with Multi-relational Associations." In K-CAP '19: Knowledge Capture Conference. ACM, 2019. http://dx.doi.org/10.1145/3360901.3364446.

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Yuan, Siyu, Deqing Yang, Jinxi Liu, et al. "Causality-aware Concept Extraction based on Knowledge-guided Prompting." In Proceedings of the 61st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers). Association for Computational Linguistics, 2023. http://dx.doi.org/10.18653/v1/2023.acl-long.514.

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Liu, Jian, Yubo Chen, and Jun Zhao. "Knowledge Enhanced Event Causality Identification with Mention Masking Generalizations." In Twenty-Ninth International Joint Conference on Artificial Intelligence and Seventeenth Pacific Rim International Conference on Artificial Intelligence {IJCAI-PRICAI-20}. International Joint Conferences on Artificial Intelligence Organization, 2020. http://dx.doi.org/10.24963/ijcai.2020/499.

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Identifying causal relations of events is a crucial language understanding task. Despite many efforts for this task, existing methods lack the ability to adopt background knowledge, and they typically generalize poorly to new, previously unseen data. In this paper, we present a new method for event causality identification, aiming to address limitations of previous methods. On the one hand, our model can leverage external knowledge for reasoning, which can greatly enrich the representation of events; On the other hand, our model can mine event-agnostic, context-specific patterns, via a mechani
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Wu, Chenwang, Xiting Wang, Defu Lian, Xing Xie, and Enhong Chen. "A Causality Inspired Framework for Model Interpretation." In KDD '23: The 29th ACM SIGKDD Conference on Knowledge Discovery and Data Mining. ACM, 2023. http://dx.doi.org/10.1145/3580305.3599240.

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Zhang, Zhongzhao, and Yanzhong Dang. "Complicated Causality Discovering and Presenting Based on Enterprise Knowledge Management." In 2019 IEEE 19th International Conference on Software Quality, Reliability and Security Companion (QRS-C). IEEE, 2019. http://dx.doi.org/10.1109/qrs-c.2019.00065.

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Yao, Shun, Shinjae Yoo, and Dantong Yu. "Prior Knowledge Driven Causality Analysis in Gene Regulatory Network Discovery." In 2013 IEEE 13th International Conference on Data Mining Workshops (ICDMW). IEEE, 2013. http://dx.doi.org/10.1109/icdmw.2013.107.

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Berichte der Organisationen zum Thema "Knowledge and causality"

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strauss, Bernhard, Samuel Short, and Pantea Lotfian. The Evolution of personalised nutrition. Food Standards Agency, 2023. http://dx.doi.org/10.46756/sci.fsa.ean605.

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Health and wellbeing and susceptibility to disease are causally linked to food and nutrition intake, an observation that has informed dietary advice for centuries. However, physiological response to different food types varies greatly by individual, meaning that a “one size fits all” approach to nutritional advice may be inadequate to ensure optimum health outcomes. Personalised nutrition (PN) services, operating at the intersection between health advisory, the wellness sector, and the food system, seek to address this through individualised targeted dietary advice focused on achieving lasting
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