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250200maximumworldminimum1501005002000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100-50-10025020015010050CanadaTajikistanGeorgiaArmeniaUkraineSloveniaMacedonia, FYRTurkeyAfghanistanGreeceRwandaPeruBermudaAustraliaDominicaLao People's Dem RepHondurasVanuatuCongoBahamasArubaTongaPanamaSolomon IslandsPhilippinesSingaporeSt. Vincent & GrenadinesNigerGambiaTuvalu0-50-100Figure 3. The effect of climate change on international tourist arrivals, as a percentage of the numbers without climatechange; top panel: world average, maximum impact (positive), and minimum impact (negative); bottom panel: impactin 2100, countries ranked to their annual average temperature in 1961-1990.Annual Proceedings of Vidzeme University College “ICTE in Regional Development”, 2006108
140120maximumworldminimum100806040200-202000 2010 2020 2030 2040 2050 2060 2070 2080 2090 2100-40-6014012010080604020CanadaTajikistanGeorgiaArmeniaUkraineSloveniaMacedonia, FYRTurkeyAfghanistanGreeceRwandaPeruBermudaAustraliaDominicaLao People's Dem RepHondurasVanuatuCongoBahamasArubaTongaPanamaSolomon IslandsPhilippinesSingaporeSt. Vincent & GrenadinesNigerGambiaTuvalu0-20-40-60Figure 4. The effect of climate change on total tourism expenditures, as a percentage of the numbers without climatechange; top panel: world average, maximum impact (positive), and minimum impact (negative); bottom panel: impactin 2100, countries ranked to their annual average temperature in 1961-1990.Annual Proceedings of Vidzeme University College “ICTE in Regional Development”, 2006109
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ISBN 9984-633-03-9Annual Proceeding
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“Development of Creative Human -
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TABLE OF CONTENTSINTELLIGENT SYSTEM
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INTELLIGENT SYSTEM FOR LEARNERS’
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LEARNER 1GROUP OF HUMAN AGENTSLEARN
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QuantityQuantityFigure 6. Distribut
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LEARNERStructure of theconcept mapL
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WEB-BASED INTELLIGENT TUTORING SYST
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materials to be presented and which
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INFORMATION TECHNOLOGIES AND E-LEAR
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correspondence with the course aim
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projects and through IT. Hence, it
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APPLICATION OF MODELING METHODS IN
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can support configuration managemen
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The EKD is one of the Enterprise mo
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CHANGES TO TRAINING AND PERSPECTIVE
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or an end, yet none of these attitu
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make decisions. It cannot be volunt
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logs), data and video conferencing
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Ability to follow user’s multi-ta
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CONCLUSIONSEDUSA method gives us a
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in successful SD. Given this situat
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SPATIAL INFORMATIONFor the visualis
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MOBILE TECHNOLOGIES USE IN SERVICES
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learning environment (Learning Mana
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ago only some curricula on Logistic
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The Web-based version can be access
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Web-portal, which incorporates diff
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DO INTELLIGENT OBJECTS AUTOMATICALL
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Table 1. Examples for introducing R
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workable influencing of the process
Page 63 and 64: are handed over to the objects and
Page 65 and 66: • Basic processes, such as wareho
Page 67 and 68: THE ECR E-COACH: A VIRTUAL COACHING
Page 69 and 70: participating in the workshops and
Page 71 and 72: • Assessment modules enable indiv
Page 73 and 74: with pictures and illustrated graph
Page 75 and 76: ECR Question Banknumber category su
Page 77 and 78: educational programme that follows
Page 79 and 80: DEVELOPMENT OF WEB BASED GRAVITY MO
Page 81 and 82: These results of a model require a
Page 83 and 84: CONCLUSIONSThe main goal of work ha
Page 85 and 86: dimension and included within any o
Page 87 and 88: • Resources sharing by providing
Page 89 and 90: Pursuant to the guidelines of elect
Page 91 and 92: tariffs of regulated services have
Page 93 and 94: INFORMATION TECHNOLOGY FOR MOTIVATI
Page 95 and 96: difficult to predict when and for w
Page 97 and 98: Listeners' workon the WebListenersS
Page 99 and 100: PERSPECTIVES OF WEB PAGE AND E-MAIL
Page 101 and 102: INCREASE IN THE NUMBER OF INTERNETU
Page 103 and 104: tourism accommodations (home pages
Page 105 and 106: interactive relationships with clie
Page 107 and 108: • The data obtained by the resear
Page 109 and 110: Central Statistical Bureau of Latvi
Page 111 and 112: departures for 1995 are taken from
Page 113: 120100maximumworldminimum806040200-
Page 117 and 118: would be a promising extension. Cur
Page 119 and 120: AN OVERVIEW OF THE AGENT − BASED
Page 121 and 122: Suitability for social system simul
Page 123 and 124: 6. MASONDescription:MASON is a fast
Page 125 and 126: Suitability for social system simul
Page 127 and 128: could be bad particularly when over
Page 129 and 130: (for 10 repeat &| CCar[]->runfor);P
Page 131 and 132: • Streaming audio• Collaboratio
Page 133 and 134: NECESSITY OF NEW LAYERED APPROACH T
Page 135 and 136: Up to now, there has only been limi
Page 137 and 138: aaaaa6= −aa2,1 = − a0,3226= −
Page 139 and 140: ∂ u∂x∂ u∂y2 2+ b = 02 2wher
Page 141 and 142: a6,3= −2030a4,5−130a4,3- - - -
Page 143 and 144: 0,10,20,30,4( )Mag x y y Ge wx2, =
Page 145 and 146: Example 1. To understand better the
Page 147 and 148: Therefore, further the following co
Page 149 and 150: SOLUTION OF THE THREE-DIMENSIONALEQ
Page 151 and 152: Mag1, m , m , m1 2 3= mm1 m2m32 2 2
Page 153 and 154: MagMag0, m , m , m1 2 31, m , m , m
Page 155: CONCLUSIONSThe basic content of thi
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