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The Orontids of Armenia by Cyril Toumanoff
The Orontids of Armenia by Cyril Toumanoff This study appears as part III of Toumanoff's Studies in Christian Caucasian History (Georgetown, 1963), pp. 277-354. An earlier version appeared in the journal Le Muséon 72(1959), pp. 1-36 and 73(1960), pp. 73-106. The Orontids of Armenia Bibliography, pp. 501-523 Maps appear as an attachment to the present document. This material is presented solely for non-commercial educational/research purposes. I 1. The genesis of the Armenian nation has been examined in an earlier Study.1 Its nucleus, succeeding to the role of the Yannic nucleus ot Urartu, was the 'proto-Armenian,T Hayasa-Phrygian, people-state,2 which at first oc- cupied only a small section of the former Urartian, or subsequent Armenian, territory. And it was, precisely, of the expansion of this people-state over that territory, and of its blending with the remaining Urartians and other proto- Caucasians that the Armenian nation was born. That expansion proceeded from the earliest proto-Armenian settlement in the basin of the Arsanias (East- ern Euphrates) up the Euphrates, to the valley of the upper Tigris, and espe- cially to that of the Araxes, which is the central Armenian plain.3 This expand- ing proto-Armenian nucleus formed a separate satrapy in the Iranian empire, while the rest of the inhabitants of the Armenian Plateau, both the remaining Urartians and other proto-Caucasians, were included in several other satrapies.* Between Herodotus's day and the year 401, when the Ten Thousand passed through it, the land of the proto-Armenians had become so enlarged as to form, in addition to the Satrapy of Armenia, also the trans-Euphratensian vice-Sa- trapy of West Armenia.5 This division subsisted in the Hellenistic phase, as that between Greater Armenia and Lesser Armenia. -
List of Supervised Entities (As of 1 September 2020)
List of supervised entities Cut-off date for changes: 1 September 2020 Number of significant entities directly supervised by the ECB: 114 This list displays the significant supervised entities, which are directly supervised by the ECB (part A) and the less significant supervised entities which are indirectly supervised by the ECB (Part B). Based on Article 2(20) of Regulation (EU) No 468/2014 of the European Central Bank of 16 April 2014 establishing the framework for cooperation within the Single Supervisory Mechanism between the European Central Bank and national competent authorities and with national designated authorities (OJ L 141, 14.5.2014, p. 1 - SSM Framework Regulation) a ‘supervised entity’ means any of the following: (a) a credit institution established in a participating Member State; (b) a financial holding company established in a participating Member State; (c) a mixed financial holding company established in a participating Member State, provided that the coordinator of the financial conglomerate is an authority competent for the supervision of credit institutions and is also the coordinator in its function as supervisor of credit institutions (d) a branch established in a participating Member State by a credit institution which is established in a non-participating Member State. The list is compiled on the basis of significance decisions which have been adopted and notified by the ECB to the supervised entity and that have become effective up to the cut-off date. A. List of significant entities directly supervised by the ECB Country of LEI Type Name establishment Grounds for significance MFI code for branches of group entities Belgium Article 6(5)(b) of Regulation (EU) No 1 LSGM84136ACA92XCN876 Credit Institution AXA Bank Belgium SA ; AXA Bank Belgium NV 1024/2013 CVRWQDHDBEPUUVU2FD09 Credit Institution AXA Bank Europe SCF France 2 549300NBLHT5Z7ZV1241 Credit Institution Banque Degroof Petercam SA ; Bank Degroof Petercam NV Significant cross-border assets 54930017BFF0C5RWQ245 Credit Institution Banque Degroof Petercam France S.A. -
FINANCIAL SERVICES.Pdf
INTERNATIONAL REFERENCES FINANCIAL SERVICES Algeria Bank of Algeria, Société Générale Algérie, BNP, Salama Bank of Blida Australia Bank of Scotland international Austria “Creditanstalt AG”, National Savings, “Oberbank”, “Raiffeisenkasse” banks France Barclay’s, Banque de France, Credit Lyonnais, Citibank, Credi Mutuel, CIAL of CIC group, Commerzbank Paris Germany Deutsche Bank, Berliner Bank, Commerzbank, Dresdner Bank Hungary National Bank (KFKI) Budapest Hong Kong Hong Kong bank Indonesia BNT Jakarta Italia Banks, Banca popolare di Bescia, Banca commerciale Italiana, Instituto bancario S. Paolo Torno, Banca popolare di Crema Ivory Coast Société Générale de Banque Morocco Banque Centrale Populaire, Commercial Bank of Morocco New Zealand Deutsche Bank Auckland Niger Banque Centrale des Etats d’Afrique de l’Ouest au Niger Norway Oslo Bank of Norway, Bank of Scotland international Philippines Zambales Subic Financial building corporation, Manilla Bangkok bank Portugal Banks Portugal, Pinto & Sotto Mayor, Portugues do Atlantico, Fonsecas & Burnay, Do Fomento, Acores, Uniao de bancos Portugueses, Caixa Geral de depositos, Stock exchange Lisbon Senegal Bank B.C.E.A.O. Dakar Serbia National Bank of Serbia Singapore City Bank South Africa South African Reserve Bank in Durban Spain Caja Rural de Granada, Cajamar, Banco BBVA, Banco Popular, Banca March, Bankinter, Caja Laboral, Unicaja, Caja de Ahorros de Ávila Thailand Bangkok Thai Farmers bank head office, Bangkok bank head office, Bangkok Bank of Ayudhya head office, Chiangmai Central bank of Thailand, Bank of Thailand, BTS Depot United Arab Emirates Abu Dhabi Barclays Bank, National bank of Abu Dhabi United Kingdom Barclays Bank London, Northern Trust London, Bank of England, Lloyds, Blue Crest, HSBC, Schroders. . -
Disposición 1560 Del BOE Núm. 27 De 2010
BOLETÍN OFICIAL DEL ESTADO Núm. 27 Lunes 1 de febrero de 2010 Sec. III. Pág. 9202 III. OTRAS DISPOSICIONES BANCO DE ESPAÑA 1560 Resolución de 21 de enero de 2010, del Banco de España, por la que se publica la relación de entidades participantes (asociadas y representadas) a 15 de enero de 2010 en el Sistema Nacional de Compensación Electrónica. En cumplimiento de lo dispuesto en el capítulo II, artículo 7, de la Ley 41/1999, de 12 de noviembre, sobre sistemas de pagos y de liquidación de valores, se publica la relación de Entidades participantes (asociadas y representadas) a 15 de enero de 2010 en el Sistema Nacional de Compensación Electrónica. Madrid, 21 de enero de 2010.–El Director General de Operaciones, Mercados y Sistemas de Pago, Javier Alonso Ruiz-Ojeda. RELACIÓN DE ENTIDADES ASOCIADAS DEL S.N.C.E. A 15 DE ENERO DE 2010 NRBE Denominación 0019 Deutsche Bank, S.A.E. 0030 Banco Español de Crédito, S.A. 0042 Banco Guipuzcoano, S.A. 0049 Banco Santander, S.A. 0061 Banca March, S.A. 0065 Barclays Bank, S.A. 0072 Banco Pastor, S.A. 0075 Banco Popular Español, S.A. 0081 Banco de Sabadell, S.A. 0093 Banco de Valencia, S.A. 0128 Bankinter, S.A. 0182 Banco Bilbao Vizcaya Argentaria, S.A. 0198 Banco Cooperativo Español, S.A. 2000 Confederación Española de Cajas de Ahorros. 2013 Caixa d’Estalvis de Catalunya. 2038 Caja de Ahorros y M.P. de Madrid. 2077 C.A. de Valencia, Castellón y Alicante, Bancaja. 2085 C.A.M.P. Zaragoza, Aragón y Rioja (IBERCAJA). -
ON the EFFECTIVE USE of PROXY WARFARE by Andrew Lewis Peek Baltimore, Maryland May 2021 © 2021 Andrew Peek All Rights Reserved
ON THE EFFECTIVE USE OF PROXY WARFARE by Andrew Lewis Peek A dissertation submitted to Johns Hopkins University in conformity with the requirements for the degree of Doctor of Philosophy Baltimore, Maryland May 2021 2021 Andrew Peek All rights reserved Abstract This dissertation asks a simple question: how are states most effectively conducting proxy warfare in the modern international system? It answers this question by conducting a comparative study of the sponsorship of proxy forces. It uses process tracing to examine five cases of proxy warfare and predicts that the differentiation in support for each proxy impacts their utility. In particular, it proposes that increasing the principal-agent distance between sponsors and proxies might correlate with strategic effectiveness. That is, the less directly a proxy is supported and controlled by a sponsor, the more effective the proxy becomes. Strategic effectiveness here is conceptualized as consisting of two key parts: a proxy’s operational capability and a sponsor’s plausible deniability. These should be in inverse relation to each other: the greater and more overt a sponsor’s support is to a proxy, the more capable – better armed, better trained – its proxies should be on the battlefield. However, this close support to such proxies should also make the sponsor’s influence less deniable, and thus incur strategic costs against both it and the proxy. These costs primarily consist of external balancing by rival states, the same way such states would balance against conventional aggression. Conversely, the more deniable such support is – the more indirect and less overt – the less balancing occurs. -
THE TRUTH GAME (Silvan Mühlemann, Geneva 2019)
THE TRUTH GAME (Silvan Mühlemann, Geneva 2019) 1 I. DEFENDING AXIOMATIC-DEDUCTIVE SCIENCE ( ) 1. CHOOSING ONE’S AXIOMS: THE EPISTEMOLOGY OF HAPPINESS. According to Karl Popper2, science begins with falsifiable hypotheses. These hypotheses are, as explained by Ashish Dalela, chosen as a function of happiness they provide us. It is intuitively clear that happiness, not truth, is the highest goal in life. “To know the truth we must know the good, but to pick the good, we must desire that good. Ultimately, our cognition of truth depends on our desire. If that desire is modified, then the truths are modified. Similarly, happiness is produced only when the desires are fulfilled. Therefore, if you find the thing that you desire, then you have the double satisfaction of finding truth and goodness. Your brain tells you that you have found the truth, and your heart tells you that you have fulfilled your desire. If you tell a happy person that his ideas about the world are false, he will most likely ignore you, because he knows that since he is happy he must be doing something correctly, and consequently his beliefs must also be true. On the other hand, if you tell an unhappy person that he is suffering because of his false beliefs, and that he must change his beliefs in order to find happiness, he is more likely to listen to your arguments. In short, new knowledge doesn’t come when you are happy, because there is complacency whereby one’s current beliefs are accepted as true just because one is already happy and contented. -
Mathematical Modeling and Anthropology: Its Rationale, Past Successes and Future Directions
Mathematical Modeling and Anthropology: Its Rationale, Past Successes and Future Directions Dwight Read, Organizer European Meeting on Cybernetics and System Research 2002 (EMCSR 2002) April 2 - 5, 2002, University of Vienna http://www.ai.univie.ac.at/emcsr/ Abstract When anthropologists talk about their discipline as a holistic study of human societies, particularly non-western societies, mathematics and mathematical modeling does not immediately come to mind, either to persons outside of anthropology and even to most anthropologists. What does mathematics have to do with the study of religious beliefs, ideologies, rituals, kinship and the like? Or more generally, What does mathematical modeling have to do with culture? The application of statistical methods usually makes sense to the questioner when it is explained that these methods relate to the study of human societies through examining patterns in empirical data on how people behave. What is less evident, though, is how mathematical thinking can be part of the way anthropologists reason about human societies and attempt to make sense of not just behavioral patterns, but the underlying cultural framework within which these behaviors are embedded. What is not widely recognized is the way theory in cultural anthropology and mathematical theory have been brought together, thereby constructing a dynamic interplay that helps elucidate what is meant by culture, its relationship to behavior and how the notion of culture relates to concepts and theories developed not only in anthropology but in related disciplines. The interplay is complex and its justification stems from the kind of logical inquiry that is the basis of mathematical reasoning. -
Oxfordshire County Council's Treasury Management Lending List October 2009
CA6 Annex 7 Oxfordshire County Council's Treasury Management Lending List October 2009 Lending Limits Counterparty Name Standard Limit Overnight Limit Group Limit Period Limit £££ Call Accounts / Money Market Funds Abbey plc - Capital A/c 22,000,000 5,000,000 27,000,000 3 years Abbey plc - Main A/c 22,000,000 5,000,000 27,000,000 3 years Bank of Scotland Plc - Base Plus A/c 15,000,000 5,000,000 20,000,000 3 mths Bank of Scotland Plc - Business Current A/c 15,000,000 5,000,000 20,000,000 3 mths Clydesdale Bank Base Rate Tracker Plus A/c 10,000,000 0 27,000,000 3 mths Lloyds TSB Bank plc - Callable Deposit A/c 15,000,000 5,000,000 20,000,000 3 mths Royal Bank of Scotland - Call A/c 15,000,000 5,000,000 20,000,000 3 mths Svenska Handelsbanken - Call A/c (no 33777001) 10,000,000 0 10,000,000 3 mths Svenska Handelsbanken - Call A/c (no 33777002) 10,000,000 0 10,000,000 3 mths Svenska Handelsbanken - 10 Days Notice A/c 10,000,000 0 10,000,000 3 mths Svenska Handelsbanken - 35 Days Notice A/c 10,000,000 0 10,000,000 3 mths Money Market Deposits Abbey plc 22,000,000 5,000,000 27,000,000 3 years Abbey Time Deposit Facility 22,000,000 5,000,000 27,000,000 3 years Alliance and Leicester plc 10,000,000 0 27,000,000 3 mths Bank Nederlandse Gemeenten N.V. -
Entidades Financieras
ENTIDADES BANCO COOPERATIVO ESPAÑOL CAJAS RURALES UNIDAS, SDAD.COOP.CDTO. 28 IBERAVAL 3001 CAJA RURAL DE ALMENDRALEJO 49 SANTANDER CENTRAL HISPANO 3005 CAJA RURAL CENTRAL 3045 CAJA RURAL ALTEA 65 BARCLAYS BANK (BCO.ZARAGOZANO) 3007 CAJA RURAL GIJON 3057 CAJA RURAL ALICANTE 69 BANCO DE MURCIA - CAIXABANK 3008 CAJA RURAL NAVARRA 3058 CAJAMAR CAJA RURAL 93 BANCO DE VALENCIA - CAIXABANK 3009 CAJA RURAL EXTREMADURA 3061 CAJA RURAL CREDICOOP 128 BANKINTER 3016 CAJA RURAL SALAMANCA 3072 CAJA RURAL DE MALAGA 182 BANCO BILBAO VIZCAYA ARGENTARIA 3017 CAJA RURAL SORIA 3082 RURALCAJA - CAJAMAR (3057 + 3061) 486 BANCO GRUPO CAJA3 3018 C.R.SAN AGUSTIN FUENTE ALAMO 3083 CAJA RURAL DEL DUERO 487 BANCO MARE NOSTRUM 3020 CAJA RURAL UTRERA 3094 CAJA CAMPO 490 BANCA CIVICA - CAIXABANK 3021 CAJA RURAL DEL JALON 3095 CAJA RURAL SAN ROQUE 2010 M.P Y C. GRAL DE A. DE BADAJOZ - CAJA3 3022 CAJA RURAL FUENTEPELAYO 3102 CAJA RURAL SAN VICENTE FERRER 2013 CAIXA CATALUNYA - CATALUNYA BANK 3023 CAJA RURAL GRANADA 3105 CAJA RURAL CALLOSA D`EN SARRIA 2017 CAJA CIRCULO - CAJA3 3056 CAJA RURAL ALBACETE (3190) 3110 CAJA RURAL CATOLICO AGRARIA 2018 CAJA BURGOS -CAIXABANK 3059 CAJA RURAL ASTURIAS 3112 CAJA RURAL SAN JOSE DE BURRIANA 2030 CAIXA GIRONA - CAIXABANK 3060 CAJA RURAL BURGOS 3118 CAJA RURAL DE TORRENT 2031 CAJA GENERAL DE GRANADA - MARE NOSTRUM 3062 CAJA RURAL CIUDAD REAL (3190) 3119 CAJA RURAL SAN JAIME 2032 CAJA DE AHORROS PROV.DE GUADALAJARA - CAIXABANK 3063 CAJA RURAL CORDOBA 3121 CAJA RURAL CHESTE 2037 CAJA RIOJA - BANKIA 3064 CAJA RURAL CUENCA (3190) 3123 -
Gaztenpresa Fundazioa –Laboral Kutxa Social Commitment Programme
EMN Good Practices – Gaztenpresa Fundazioa - 2016 Gaztenpresa Fundazioa –Laboral Kutxa Social Commitment Programme Category of Good Practice: Partnership between public, private and social sectors Good Practice’s title Intra-entrepreneurship and win-win alliance models as part of long-lasting public, private and social partnerships Main objective Gaztenpresa arose as an initiative as a result of some of the workers, who are also partners of Laboral Kutxa. They identified the need to support youth employment in their spheres of actions, and for this reason decided to embark on this project. They sought out alliances to optimise the existing resources on hand at the participating organisations in favour of society as a whole (creation of stable employment through self-employment programmes), through long-lasting relationships. Gaztenpresa put into service a programme dealing with people who needed assistance to improve their life projects through self-employment schemes (via customised accompaniment to assess their ideas, design a business plan, provide access to financing and consolidate the project through a mentoring service). The Gaztenpresa Foundation coordinates the alliance between Laboral Kutxa (cooperative regional bank), Lanbide (Basque Regional Government. Dpt. of Employment and Social Policies) and Bultz-Lan Consulting (whose property is 95% of Cáritas Bizkaia and 5% of Laboral Kutxa). Key words: MFI, partnership, banks, equity, sharing facilities, microcredit. Type of organization: Foundation Country: Spain Year of inception of the good practice: 2002 Services and products provided: Gaztenpresa programme for microcredits, coaching and advising to micro-entrepreneurs Portfolio (€): 28,675,000 by December 31, 2015 Outstanding - 7,395,000 disbursed in 2015. Avg loan size (€): 27,000 € # of clients: 1,397 active by December 31, 2015 - 274 new clients in 2015. -
Sacredness in an Experimental Chamber
BEHAVIORAL AND BRAIN SCIENCES (2006) 29, 161–209 Printed in the United States of America Moneyastool,moneyasdrug:The biological psychology of a strong incentive Stephen E. G. Lea University of Exeter, School of Psychology, Washington Singer Laboratories, Exeter EX4 4QG, United Kingdom [email protected] http://www.exeter.ac.uk/SEGLea Paul Webley University of Exeter, School of Psychology, Washington Singer Laboratories, Exeter EX4 4QG, United Kingdom [email protected] http://www.exeter.ac.uk/pwebley Abstract: Why are people interested in money? Specifically, what could be the biological basis for the extraordinary incentive and reinforcing power of money, which seems to be unique to the human species? We identify two ways in which a commodity which is of no biological significance in itself can become a strong motivator. The first is if it is used as a tool, and by a metaphorical extension this is often applied to money: it is used instrumentally, in order to obtain biologically relevant incentives. Second, substances can be strong motivators because they imitate the action of natural incentives but do not produce the fitness gains for which those incentives are instinctively sought. The classic examples of this process are psychoactive drugs, but we argue that the drug concept can also be extended metaphorically to provide an account of money motivation. From a review of theoretical and empirical literature about money, we conclude that (i) there are a number of phenomena that cannot be accounted for by a pure Tool Theory of money motivation; (ii) supplementing Tool Theory with a Drug Theory enables the anomalous phenomena to be explained; and (iii) the human instincts that, according to a Drug Theory, money parasitizes include trading (derived from reciprocal altruism) and object play. -
Shesterinina CV January-2021-1.Pdf
ANASTASIA SHESTERININA, PH.D. www.anastasiashesterinina.com [email protected] RESEARCH INTERESTS International Relations, Comparative Politics, conflict, violence, mobilization, peace processes Fieldwork: Abkhazia (2010, 2011); Georgia (2013); Russia (2013, 2018); Colombia (2018- ) CURRENT POSITION The University of Sheffield (2021- ) Sheffield, UK UK Research and Innovation Future Leaders Fellow Director, Centre for the Comparative Study of Civil War The University of Sheffield (2017- ) Sheffield, UK Lecturer (Assistant Professor), Department of Politics and International Relations PAST POSITIONS Yale University (2015-2017) New Haven, CT Canada SSHRC Postdoctoral Fellow, MacMillan Center for International and Area Studies Supervisors: Elizabeth J. Wood and Stathis N. Kalyvas, Department of Political Science Affiliation: Program on Order, Conflict, and Violence EDUCATION University of British Columbia (2008-2014) Vancouver, BC Ph.D., Political Science A (First Class) Average Dissertation: “Mobilization in Civil War: Latent Norms, Social Relations, and Inter-Group Violence in Abkhazia,” available at http://circle.ubc.ca/handle/2429/51121 APSA Best Field Work Award Nomination (2015) Research Committee: Brian Job (UBC); Erin Baines (UBC); Jeffrey T. Checkel (SFU) External Examiner: William Reno (Northwestern University) Data: Original interviews, participant observation, news archive in the Georgian-Abkhaz case Comprehensive Examination Fields: International Relations, Comparative Politics York University (2004-2008) Toronto,