{"id":27255,"date":"2025-11-27T15:38:24","date_gmt":"2025-11-27T13:38:24","guid":{"rendered":"https:\/\/cinia.blogs.usj.edu.lb\/?p=27255"},"modified":"2025-11-27T15:38:25","modified_gmt":"2025-11-27T13:38:25","slug":"optimiser-le-flux-de-travail-du-chercheur-contributions-de-lia","status":"publish","type":"post","link":"https:\/\/cinia.blogs.usj.edu.lb\/en\/2025\/11\/optimiser-le-flux-de-travail-du-chercheur-contributions-de-lia\/","title":{"rendered":"Optimizing the Researcher\u2019s Workflow: Contributions of AI"},"content":{"rendered":"","protected":false},"excerpt":{"rendered":"","protected":false},"author":182,"featured_media":27256,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"saved_in_kubio":false,"_acf_changed":false,"inline_featured_image":false,"footnotes":""},"categories":[235,73],"tags":[],"class_list":["post-27255","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-actualites","category-formations"],"mb":[],"acf":{"french_input_post_block1":{"simple_value_formatted":"<p>Le Centre de l\u2019innovation num\u00e9rique et de l\u2019intelligence artificielle (CINIA) a organis\u00e9, le jeudi 27 novembre 2025, une formation de 3h, de 9h \u00e0 12h, d\u00e9di\u00e9e aux doctorants de \u00ab L\u2019\u00c9cole Doctorale de Sciences et Sant\u00e9\u00bb, r\u00e9unissant vingt participants d\u00e9sireux d\u2019int\u00e9grer plus efficacement l\u2019intelligence artificielle dans leur d\u00e9marche de recherche. Anim\u00e9e par Madame Wadad Wazen Gergy, Directrice du CINIA, et Monsieur Mario Gharib, Team Leader, cette s\u00e9ance a permis d\u2019explorer les outils et les approches qui transforment aujourd\u2019hui les pratiques des jeunes chercheurs.<\/p>\n<p>L\u2019atelier avait pour ambition d\u2019accompagner les doctorants dans la compr\u00e9hension des \u00e9tapes cl\u00e9s du flux de travail scientifique et de mettre en \u00e9vidence les opportunit\u00e9s d\u2019am\u00e9lioration qu\u2019offrent les technologies d\u2019IA. D\u00e8s le d\u00e9but de la session, une r\u00e9flexion collective a \u00e9t\u00e9 engag\u00e9e autour de l\u2019utilisation actuelle de l\u2019IA dans les travaux de th\u00e8se gr\u00e2ce \u00e0 deux activit\u00e9s interactives Wooclap. Ces \u00e9changes ont permis d\u2019identifier les usages les plus courants, les besoins \u00e9mergents et les repr\u00e9sentations vari\u00e9es que les chercheurs se font des outils conversationnels ou analytiques.<\/p>\n<p>La premi\u00e8re partie de la formation a \u00e9t\u00e9 consacr\u00e9e aux mod\u00e8les de langage et aux techniques de formulation de prompts. Les formateurs ont expliqu\u00e9 comment structurer une demande, affiner une consigne, orienter un raisonnement ou g\u00e9n\u00e9rer une production acad\u00e9mique fiable. Cette approche pratique a aid\u00e9 les doctorants \u00e0 comprendre les m\u00e9canismes internes de ces mod\u00e8les, tout en soulignant les limites inh\u00e9rentes \u00e0 ces technologies.<\/p>\n<p>La seconde partie s\u2019est concentr\u00e9e sur une s\u00e9rie d\u2019outils d\u2019IA d\u00e9di\u00e9s \u00e0 l&rsquo;exploration scientifique et \u00e0 la litt\u00e9rature acad\u00e9mique. Les participants ont pu d\u00e9couvrir l\u2019apport de plateformes telles que ConnectedPapers pour la visualisation d\u2019un champ de recherche, Elicit pour la recherche automatique d\u2019articles, Consensus pour l\u2019extraction d\u2019\u00e9vidence scientifique, ou encore NotebookLM et Napkin AI pour l\u2019organisation et la synth\u00e8se documentaire. Chaque outil a \u00e9t\u00e9 pr\u00e9sent\u00e9 \u00e0 travers des cas d\u2019usage concrets permettant d\u2019illustrer leur potentiel dans des contextes disciplinaires vari\u00e9s.<\/p>\n<p>La troisi\u00e8me partie a permis d\u2019introduire le r\u00e9pertoire CINIA des outils d\u2019IA pour la recherche et l\u2019\u00e9criture acad\u00e9mique, un guide \u00e9volutif d\u00e9velopp\u00e9 par le Centre pour accompagner la communaut\u00e9 universitaire. Les formateurs ont \u00e9galement rappel\u00e9 les enjeux \u00e9thiques fondamentaux li\u00e9s \u00e0 l\u2019int\u00e9gration de l\u2019IA dans la recherche, notamment en mati\u00e8re d\u2019int\u00e9grit\u00e9 acad\u00e9mique, de risques de plagiat, de qualit\u00e9 des sources et de transparence m\u00e9thodologique. Un \u00e9clairage particulier a \u00e9t\u00e9 apport\u00e9 au cadre IAG de r\u00e9f\u00e9rencement des contenus g\u00e9n\u00e9r\u00e9s par IA et aux bonnes pratiques que les chercheurs doivent adopter pour garantir la fiabilit\u00e9 de leurs productions scientifiques.<\/p>\n<p>\u00c0 travers cette formation, le CINIA poursuit sa mission de soutenir la transformation num\u00e9rique de l\u2019Universit\u00e9 Saint-Joseph et de promouvoir une utilisation responsable, innovante et critique de l\u2019intelligence artificielle au sein de la recherche acad\u00e9mique. Les doctorants ont quitt\u00e9 la s\u00e9ance mieux outill\u00e9s, plus confiants et pleinement conscients du r\u00f4le incontournable que joue d\u00e9sormais l\u2019IA dans le d\u00e9veloppement d\u2019une recherche rigoureuse et \u00e9clair\u00e9e. Les retours recueillis \u00e0 l\u2019issue de la rencontre ont d\u2019ailleurs \u00e9t\u00e9 extr\u00eamement positifs, les participants soulignant la clart\u00e9 des explications, la pertinence des outils pr\u00e9sent\u00e9s et l\u2019utilit\u00e9 directe de la formation pour l\u2019avancement de leurs travaux de th\u00e8se.<\/p>\n","value_formatted":"<p>Le Centre de l\u2019innovation num\u00e9rique et de l\u2019intelligence artificielle (CINIA) a organis\u00e9, le jeudi 27 novembre 2025, une formation de 3h, de 9h \u00e0 12h, d\u00e9di\u00e9e aux doctorants de \u00ab L\u2019\u00c9cole Doctorale de Sciences et Sant\u00e9\u00bb, r\u00e9unissant vingt participants d\u00e9sireux d\u2019int\u00e9grer plus efficacement l\u2019intelligence artificielle dans leur d\u00e9marche de recherche. Anim\u00e9e par Madame Wadad Wazen Gergy, Directrice du CINIA, et Monsieur Mario Gharib, Team Leader, cette s\u00e9ance a permis d\u2019explorer les outils et les approches qui transforment aujourd\u2019hui les pratiques des jeunes chercheurs.<\/p>\r\n<p>L\u2019atelier avait pour ambition d\u2019accompagner les doctorants dans la compr\u00e9hension des \u00e9tapes cl\u00e9s du flux de travail scientifique et de mettre en \u00e9vidence les opportunit\u00e9s d\u2019am\u00e9lioration qu\u2019offrent les technologies d\u2019IA. D\u00e8s le d\u00e9but de la session, une r\u00e9flexion collective a \u00e9t\u00e9 engag\u00e9e autour de l\u2019utilisation actuelle de l\u2019IA dans les travaux de th\u00e8se gr\u00e2ce \u00e0 deux activit\u00e9s interactives Wooclap. Ces \u00e9changes ont permis d\u2019identifier les usages les plus courants, les besoins \u00e9mergents et les repr\u00e9sentations vari\u00e9es que les chercheurs se font des outils conversationnels ou analytiques.<\/p>\r\n<p>La premi\u00e8re partie de la formation a \u00e9t\u00e9 consacr\u00e9e aux mod\u00e8les de langage et aux techniques de formulation de prompts. Les formateurs ont expliqu\u00e9 comment structurer une demande, affiner une consigne, orienter un raisonnement ou g\u00e9n\u00e9rer une production acad\u00e9mique fiable. Cette approche pratique a aid\u00e9 les doctorants \u00e0 comprendre les m\u00e9canismes internes de ces mod\u00e8les, tout en soulignant les limites inh\u00e9rentes \u00e0 ces technologies.<\/p>\r\n<p>La seconde partie s\u2019est concentr\u00e9e sur une s\u00e9rie d\u2019outils d\u2019IA d\u00e9di\u00e9s \u00e0 l'exploration scientifique et \u00e0 la litt\u00e9rature acad\u00e9mique. Les participants ont pu d\u00e9couvrir l\u2019apport de plateformes telles que ConnectedPapers pour la visualisation d\u2019un champ de recherche, Elicit pour la recherche automatique d\u2019articles, Consensus pour l\u2019extraction d\u2019\u00e9vidence scientifique, ou encore NotebookLM et Napkin AI pour l\u2019organisation et la synth\u00e8se documentaire. Chaque outil a \u00e9t\u00e9 pr\u00e9sent\u00e9 \u00e0 travers des cas d\u2019usage concrets permettant d\u2019illustrer leur potentiel dans des contextes disciplinaires vari\u00e9s.<\/p>\r\n<p>La troisi\u00e8me partie a permis d\u2019introduire le r\u00e9pertoire CINIA des outils d\u2019IA pour la recherche et l\u2019\u00e9criture acad\u00e9mique, un guide \u00e9volutif d\u00e9velopp\u00e9 par le Centre pour accompagner la communaut\u00e9 universitaire. Les formateurs ont \u00e9galement rappel\u00e9 les enjeux \u00e9thiques fondamentaux li\u00e9s \u00e0 l\u2019int\u00e9gration de l\u2019IA dans la recherche, notamment en mati\u00e8re d\u2019int\u00e9grit\u00e9 acad\u00e9mique, de risques de plagiat, de qualit\u00e9 des sources et de transparence m\u00e9thodologique. Un \u00e9clairage particulier a \u00e9t\u00e9 apport\u00e9 au cadre IAG de r\u00e9f\u00e9rencement des contenus g\u00e9n\u00e9r\u00e9s par IA et aux bonnes pratiques que les chercheurs doivent adopter pour garantir la fiabilit\u00e9 de leurs productions scientifiques.<\/p>\r\n<p>\u00c0 travers cette formation, le CINIA poursuit sa mission de soutenir la transformation num\u00e9rique de l\u2019Universit\u00e9 Saint-Joseph et de promouvoir une utilisation responsable, innovante et critique de l\u2019intelligence artificielle au sein de la recherche acad\u00e9mique. Les doctorants ont quitt\u00e9 la s\u00e9ance mieux outill\u00e9s, plus confiants et pleinement conscients du r\u00f4le incontournable que joue d\u00e9sormais l\u2019IA dans le d\u00e9veloppement d\u2019une recherche rigoureuse et \u00e9clair\u00e9e. Les retours recueillis \u00e0 l\u2019issue de la rencontre ont d\u2019ailleurs \u00e9t\u00e9 extr\u00eamement positifs, les participants soulignant la clart\u00e9 des explications, la pertinence des outils pr\u00e9sent\u00e9s et l\u2019utilit\u00e9 directe de la formation pour l\u2019avancement de leurs travaux de th\u00e8se.<\/p>","value":"<p>Le Centre de l\u2019innovation num\u00e9rique et de l\u2019intelligence artificielle (CINIA) a organis\u00e9, le jeudi 27 novembre 2025, une formation de 3h, de 9h \u00e0 12h, d\u00e9di\u00e9e aux doctorants de \u00ab L\u2019\u00c9cole Doctorale de Sciences et Sant\u00e9\u00bb, r\u00e9unissant vingt participants d\u00e9sireux d\u2019int\u00e9grer plus efficacement l\u2019intelligence artificielle dans leur d\u00e9marche de recherche. Anim\u00e9e par Madame Wadad Wazen Gergy, Directrice du CINIA, et Monsieur Mario Gharib, Team Leader, cette s\u00e9ance a permis d\u2019explorer les outils et les approches qui transforment aujourd\u2019hui les pratiques des jeunes chercheurs.<\/p>\r\n<p>L\u2019atelier avait pour ambition d\u2019accompagner les doctorants dans la compr\u00e9hension des \u00e9tapes cl\u00e9s du flux de travail scientifique et de mettre en \u00e9vidence les opportunit\u00e9s d\u2019am\u00e9lioration qu\u2019offrent les technologies d\u2019IA. D\u00e8s le d\u00e9but de la session, une r\u00e9flexion collective a \u00e9t\u00e9 engag\u00e9e autour de l\u2019utilisation actuelle de l\u2019IA dans les travaux de th\u00e8se gr\u00e2ce \u00e0 deux activit\u00e9s interactives Wooclap. Ces \u00e9changes ont permis d\u2019identifier les usages les plus courants, les besoins \u00e9mergents et les repr\u00e9sentations vari\u00e9es que les chercheurs se font des outils conversationnels ou analytiques.<\/p>\r\n<p>La premi\u00e8re partie de la formation a \u00e9t\u00e9 consacr\u00e9e aux mod\u00e8les de langage et aux techniques de formulation de prompts. Les formateurs ont expliqu\u00e9 comment structurer une demande, affiner une consigne, orienter un raisonnement ou g\u00e9n\u00e9rer une production acad\u00e9mique fiable. Cette approche pratique a aid\u00e9 les doctorants \u00e0 comprendre les m\u00e9canismes internes de ces mod\u00e8les, tout en soulignant les limites inh\u00e9rentes \u00e0 ces technologies.<\/p>\r\n<p>La seconde partie s\u2019est concentr\u00e9e sur une s\u00e9rie d\u2019outils d\u2019IA d\u00e9di\u00e9s \u00e0 l'exploration scientifique et \u00e0 la litt\u00e9rature acad\u00e9mique. Les participants ont pu d\u00e9couvrir l\u2019apport de plateformes telles que ConnectedPapers pour la visualisation d\u2019un champ de recherche, Elicit pour la recherche automatique d\u2019articles, Consensus pour l\u2019extraction d\u2019\u00e9vidence scientifique, ou encore NotebookLM et Napkin AI pour l\u2019organisation et la synth\u00e8se documentaire. Chaque outil a \u00e9t\u00e9 pr\u00e9sent\u00e9 \u00e0 travers des cas d\u2019usage concrets permettant d\u2019illustrer leur potentiel dans des contextes disciplinaires vari\u00e9s.<\/p>\r\n<p>La troisi\u00e8me partie a permis d\u2019introduire le r\u00e9pertoire CINIA des outils d\u2019IA pour la recherche et l\u2019\u00e9criture acad\u00e9mique, un guide \u00e9volutif d\u00e9velopp\u00e9 par le Centre pour accompagner la communaut\u00e9 universitaire. Les formateurs ont \u00e9galement rappel\u00e9 les enjeux \u00e9thiques fondamentaux li\u00e9s \u00e0 l\u2019int\u00e9gration de l\u2019IA dans la recherche, notamment en mati\u00e8re d\u2019int\u00e9grit\u00e9 acad\u00e9mique, de risques de plagiat, de qualit\u00e9 des sources et de transparence m\u00e9thodologique. Un \u00e9clairage particulier a \u00e9t\u00e9 apport\u00e9 au cadre IAG de r\u00e9f\u00e9rencement des contenus g\u00e9n\u00e9r\u00e9s par IA et aux bonnes pratiques que les chercheurs doivent adopter pour garantir la fiabilit\u00e9 de leurs productions scientifiques.<\/p>\r\n<p>\u00c0 travers cette formation, le CINIA poursuit sa mission de soutenir la transformation num\u00e9rique de l\u2019Universit\u00e9 Saint-Joseph et de promouvoir une utilisation responsable, innovante et critique de l\u2019intelligence artificielle au sein de la recherche acad\u00e9mique. Les doctorants ont quitt\u00e9 la s\u00e9ance mieux outill\u00e9s, plus confiants et pleinement conscients du r\u00f4le incontournable que joue d\u00e9sormais l\u2019IA dans le d\u00e9veloppement d\u2019une recherche rigoureuse et \u00e9clair\u00e9e. Les retours recueillis \u00e0 l\u2019issue de la rencontre ont d\u2019ailleurs \u00e9t\u00e9 extr\u00eamement positifs, les participants soulignant la clart\u00e9 des explications, la pertinence des outils pr\u00e9sent\u00e9s et l\u2019utilit\u00e9 directe de la formation pour l\u2019avancement de leurs travaux de th\u00e8se.<\/p>","field":{"ID":19738,"key":"field_664c3e682571d","label":"French Input","name":"french_input_post_block1","aria-label":"","prefix":"acf","type":"wysiwyg","value":null,"menu_order":0,"instructions":"","required":0,"id":"","class":"","conditional_logic":0,"parent":18677,"wrapper":{"width":"","class":"roboto-input","id":""},"default_value":"","tabs":"all","toolbar":"full","media_upload":1,"delay":0,"_name":"french_input_post_block1","_valid":1}},"english_input_post_block1":{"simple_value_formatted":"<p>The Center for Digital Innovation and Artificial Intelligence (CINIA) organized, on Thursday 27 November 2025, a three-hour training session from 9 a.m. to 12 p.m. dedicated to the doctoral students of the Doctoral School of Science and Health bringing together twenty participants eager to integrate artificial intelligence more effectively into their research processes. Led by Mrs. Wadad Wazen Gergy, Director of CINIA, and Mr. Mario Gharib, Team Leader, the session offered an opportunity to explore the tools and approaches that are reshaping the practices of today\u2019s young researchers.<\/p>\n<p>The workshop aimed to guide doctoral students in understanding the key stages of the scientific workflow and to highlight the opportunities for improvement offered by AI technologies. From the beginning of the session, a collective reflection was initiated around the current use of AI in dissertation work through two interactive Wooclap activities. These exchanges helped identify the most common uses, emerging needs, and the diverse perceptions researchers have of conversational and analytical AI tools.<\/p>\n<p>The first part of the training focused on language models and prompt-engineering techniques. The trainers explained how to structure a request, refine an instruction, guide a line of reasoning, or generate reliable academic outputs. This hands-on approach helped doctoral students grasp the internal mechanisms of these models while emphasizing their inherent limitations.<\/p>\n<p>The second part centered on a set of AI tools dedicated to scientific exploration and academic literature. Participants were introduced to the contribution of platforms such as ConnectedPapers for visualizing a research field, Elicit for automated article retrieval, Consensus for extracting scientific evidence, and NotebookLM and Napkin AI for organizing and synthesizing documents. Each tool was presented through concrete use cases to illustrate its potential across various disciplinary contexts.<\/p>\n<p>The third part introduced the CINIA directory of AI tools for research and academic writing, a dynamic guide developed by the Center to support the university community. The trainers also emphasized the essential ethical considerations associated with the integration of AI in research, particularly regarding academic integrity, risks of plagiarism, source reliability, and methodological transparency. Special attention was given to the IAG framework for referencing AI-generated content and to the best practices researchers must adopt to ensure the reliability of their scientific output.<\/p>\n<p>Through this training, CINIA continues to uphold its mission of supporting the digital transformation of Saint-Joseph University and promoting a responsible, innovative, and critical use of artificial intelligence within academic research. The doctoral students concluded the session better equipped, more confident, and fully aware of the pivotal role AI now plays in developing rigorous and well-founded research. Participant feedback was overwhelmingly positive, highlighting the clarity of the explanations, the relevance of the tools presented, and the direct usefulness of the training for advancing their dissertation work.<\/p>\n","value_formatted":"<p>The Center for Digital Innovation and Artificial Intelligence (CINIA) organized, on Thursday 27 November 2025, a three-hour training session from 9 a.m. to 12 p.m. dedicated to the doctoral students of the Doctoral School of Science and Health bringing together twenty participants eager to integrate artificial intelligence more effectively into their research processes. Led by Mrs. Wadad Wazen Gergy, Director of CINIA, and Mr. Mario Gharib, Team Leader, the session offered an opportunity to explore the tools and approaches that are reshaping the practices of today\u2019s young researchers.<\/p>\r\n<p>The workshop aimed to guide doctoral students in understanding the key stages of the scientific workflow and to highlight the opportunities for improvement offered by AI technologies. From the beginning of the session, a collective reflection was initiated around the current use of AI in dissertation work through two interactive Wooclap activities. These exchanges helped identify the most common uses, emerging needs, and the diverse perceptions researchers have of conversational and analytical AI tools.<\/p>\r\n<p>The first part of the training focused on language models and prompt-engineering techniques. The trainers explained how to structure a request, refine an instruction, guide a line of reasoning, or generate reliable academic outputs. This hands-on approach helped doctoral students grasp the internal mechanisms of these models while emphasizing their inherent limitations.<\/p>\r\n<p>The second part centered on a set of AI tools dedicated to scientific exploration and academic literature. Participants were introduced to the contribution of platforms such as ConnectedPapers for visualizing a research field, Elicit for automated article retrieval, Consensus for extracting scientific evidence, and NotebookLM and Napkin AI for organizing and synthesizing documents. Each tool was presented through concrete use cases to illustrate its potential across various disciplinary contexts.<\/p>\r\n<p>The third part introduced the CINIA directory of AI tools for research and academic writing, a dynamic guide developed by the Center to support the university community. The trainers also emphasized the essential ethical considerations associated with the integration of AI in research, particularly regarding academic integrity, risks of plagiarism, source reliability, and methodological transparency. Special attention was given to the IAG framework for referencing AI-generated content and to the best practices researchers must adopt to ensure the reliability of their scientific output.<\/p>\r\n<p>Through this training, CINIA continues to uphold its mission of supporting the digital transformation of Saint-Joseph University and promoting a responsible, innovative, and critical use of artificial intelligence within academic research. The doctoral students concluded the session better equipped, more confident, and fully aware of the pivotal role AI now plays in developing rigorous and well-founded research. Participant feedback was overwhelmingly positive, highlighting the clarity of the explanations, the relevance of the tools presented, and the direct usefulness of the training for advancing their dissertation work.<\/p>","value":"<p>The Center for Digital Innovation and Artificial Intelligence (CINIA) organized, on Thursday 27 November 2025, a three-hour training session from 9 a.m. to 12 p.m. dedicated to the doctoral students of the Doctoral School of Science and Health bringing together twenty participants eager to integrate artificial intelligence more effectively into their research processes. Led by Mrs. Wadad Wazen Gergy, Director of CINIA, and Mr. Mario Gharib, Team Leader, the session offered an opportunity to explore the tools and approaches that are reshaping the practices of today\u2019s young researchers.<\/p>\r\n<p>The workshop aimed to guide doctoral students in understanding the key stages of the scientific workflow and to highlight the opportunities for improvement offered by AI technologies. From the beginning of the session, a collective reflection was initiated around the current use of AI in dissertation work through two interactive Wooclap activities. These exchanges helped identify the most common uses, emerging needs, and the diverse perceptions researchers have of conversational and analytical AI tools.<\/p>\r\n<p>The first part of the training focused on language models and prompt-engineering techniques. The trainers explained how to structure a request, refine an instruction, guide a line of reasoning, or generate reliable academic outputs. This hands-on approach helped doctoral students grasp the internal mechanisms of these models while emphasizing their inherent limitations.<\/p>\r\n<p>The second part centered on a set of AI tools dedicated to scientific exploration and academic literature. Participants were introduced to the contribution of platforms such as ConnectedPapers for visualizing a research field, Elicit for automated article retrieval, Consensus for extracting scientific evidence, and NotebookLM and Napkin AI for organizing and synthesizing documents. Each tool was presented through concrete use cases to illustrate its potential across various disciplinary contexts.<\/p>\r\n<p>The third part introduced the CINIA directory of AI tools for research and academic writing, a dynamic guide developed by the Center to support the university community. The trainers also emphasized the essential ethical considerations associated with the integration of AI in research, particularly regarding academic integrity, risks of plagiarism, source reliability, and methodological transparency. Special attention was given to the IAG framework for referencing AI-generated content and to the best practices researchers must adopt to ensure the reliability of their scientific output.<\/p>\r\n<p>Through this training, CINIA continues to uphold its mission of supporting the digital transformation of Saint-Joseph University and promoting a responsible, innovative, and critical use of artificial intelligence within academic research. The doctoral students concluded the session better equipped, more confident, and fully aware of the pivotal role AI now plays in developing rigorous and well-founded research. 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