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  1. Bouchard de Bray, also Bouchard I of Montmorency (died after 960 and before 966) was a French knight from the Tenth Century. he was the ancestor of the noble House of Montmorency and the noble House of Montlhery. Life. He belongs to the family of the Alberic-Walter-Burchard, very present in the Province of Sens with two archbishops.

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    Per Cawley "[Bouchard le Barbu's] descent from the family of the vicomtes d'Orléans... has been suggested" See Vicomtes d'Orléans, Charles Cawley: Central France, Bourges, Gâtinais, Orléans, Sancerre (accessed Sep. 2018) and Seigneurs de Montmorency, Cawley, Paris Region, Beaumont and Beauvaisis (accessed Sept 2018). - Albéric and Bouchard de Montm...

    Lord of Bray-sur-Seine See Cawley http://fmg.ac/Projects/MedLands/cfragobs.htm#_Toc494107704(scroll to Bouchard [II] de Bray-sur-Seine) Parents speculative

    Source: S6 Author: Ancestry.com Title: Public Member Trees Publication: Name: Ancestry.com Operations, Inc.; Location: Provo, UT, USA; Date: 2006; Repository: #R1
    Bouchard 1st is the sire de Montmorency of a family originating in the Val-d'Oise département, near Enghien-les-Bains and Saint-Denis, close to Paris, France. The Encyclopaedia Britannica : Montmor...
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    • Hildegarde (Blois) de Blois
  2. My view was that the abstract character of theory in sociology arose because lectual developments in archaeology in the 1960s. research problems were not derived from the subject matter of sociology but, instead, from an applied interest in chang- ing society for the better.

  3. According to Baker (2017), this research design is appropriate to measure the relationship between two variables. According to Boru (2018), the research design sets the process, methods,...

  4. Mixed methods research is, generally speaking, an approach to knowl-edge (theory and practice) that attempts to consider multiple viewpoints, perspectives, posi-tions, and standpoints (always including the standpoints of qualitative and quantitative research).

  5. After defining comparative research, this article outlines some of its central problems, including: (1) case selection, unit, level and scale of analysis; (2) construct equivalence; (3) variable or case orientation; and (4) causality.

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  7. Monte Carlo methods, or Monte Carlo experiments, are a broad class of computational algorithms that rely on repeated random sampling to obtain numerical results. The underlying concept is to use randomness to solve problems that might be deterministic in principle.