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Oracle Database Jordan James Etem
21/08/2022

Oracle Database Jordan James Etem

27/12/2021

* Barr, P. (1998). Adapting to unfamiliar environmental events: A look at the evolution of interpretation and its role in strategic change. Organization Science, 9, 644–669.��
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* Burton-Jones, A., & Straub, D. W. (2006). Re-conceptualizing system usage: An approach and empirical tests. Information Systems Research, 17(3), 228–246.��
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* Choo, W. C. (2002). Sensemaking, knowledge creation, and decision making: Organizational knowing as emergent strategy. In C. W. Choo & N. Bontis (Eds.), Strategic management of intellectual capital and organizational knowledge (pp. 79–89). Oxford: Oxford University Press.��
* Davern, M., Shaft, M., & Te’eni, D. (2012). Cognition matters: Enduring questions in cognitive IS research. Journal of the Association for Information Systems, 13, 273–314.��
* Davidson, A. (2002). Technology frames and framing: A socio-cognitive investigation of requirements determination. MIS Quarterly, 26(4), 329–358.��
* Davidson, E. (2006). A technological frames perspective on information technology and organizational change. The Journal of Applied Behavioral Science, 42(1), 23–39.��
* Galbraith, J. R. (2002). Organizing to deliver solutions. Organizational Dynamics, 31(2), 194–207.��
* Garreau, L., Mouricou, P., & Grimand, A. (2015). Drawing on the map: An exploration of strategic sensemaking/giving practices using visual representations. British Journal of Management, 26(4), 689–712.��
* Gartner Press. (2014). Predicts 2014: Don’t try to prevent the digital revolution, exploit IT now. Gartner, Inc.��
* Gebauer, H., Fleisch, E., & Friedli, T. (2005). Overcoming the service paradox in manufacturing companies. European Management Journal, 23(1), 14–26.��
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Smart Cities / Regions / For Development / Community Building / Learning / Network Mobilization / Innovation / Market Integration

1. Austin, Texas Collaboration
2. Los Angeles, California Insight
3. San Diego, California Team Basics
4. Denver, Colorado Value Propositions
5. Houston, Texas Software Design
6. Chicago, Illinois Community Building
7. New York, New York SuperRadiance
8. London, United Kingdom Joy
9. Bangkok, Thailand Honor
10. Seoul Korea Good Faith
11. Italy / Brasil / Hong Kong Integrity
12. Berlin, Germany Mindfulness
13. Stockholm, Sweden ComplexSystems
14. Detroit, Michigan Multi Objective Optimization
15. Miami, Florida Family Science
16. Tampa, Florida Quantum Chemistry
17. Charlotte, NC Decision Support
18. Richmond, Virginia Sustainability
19. Boston, Massachusetts Learning and Improvement
20. Phoenix, AZ Intelligent Systems
21. Seattle, WA Smart City as a Service
22. Portland, OR Rational Unified Process
23. Vancouver, BC Quantum Optimization
24. Toronto, Ontario Health
25. Madrid, Spain Quality
26. Mumbai, India Apple Development
27. Kansas City, MO Microsoft Development
28. St. Petersburg, FL Edge Computing
29. Nashville, Tennessee SaaS
30. Netherlands, Israel, Australia
31. Atlanta, Georgia, Oracle
32. Tokyo, Japan Tesla Elon Musk
33. Paris, France Embedded Systems
34. Cape Town, South Africa Spiritual and Economic Linkages
35. Dubai, UAE Cognitive Computing
36. Minneapolis, MN Rural and Urban Linkages
37. Zurich, Germany Engineering, Development, Operations
38. Nordic Countries - Cognitive Computing, Learning Reasoning Optimization

Feedback and Engagement:
Getting to the heart of the matter for holistic transformation. .

25/12/2021

Smart Cities / Regions / For Development / Community Building / Learning / Network Mobilization / Innovation / Market Integration

1. Austin, Texas Collaboration
2. Los Angeles, California Insight
3. San Diego, California Team Basics
4. Denver, Colorado Value Propositions
5. Houston, Texas Software Design
6. Chicago, Illinois Community Building
7. New York, New York SuperRadiance
8. London, United Kingdom Joy
9. Bangkok, Thailand Honor
10. Seoul Korea Good Faith
11. Italy / Brasil / Hong Kong Integrity
12. Berlin, Germany Mindfulness
13. Stockholm, Sweden ComplexSystems
14. Detroit, Michigan Multi Objective Optimization
15. Miami, Florida Family Science
16. Tampa, Florida Quantum Chemistry
17. Charlotte, NC Decision Support
18. Richmond, Virginia Sustainability
19. Boston, Massachusetts Learning and Improvement
20. Phoenix, AZ Intelligent Systems
21. Seattle, WA Smart City as a Service
22. Portland, OR Rational Unified Process
23. Vancouver, BC Quantum Optimization
24. Toronto, Ontario Health
25. Madrid, Spain Quality
26. Mumbai, India Apple Development
27. Kansas City, MO Microsoft Development
28. St. Petersberg, FL Edge Computing
29. Nashville, Tennesse SaaS
30. Netherlands, Israel, Australia
31. Atlanta, Georgia, Oracle
32. Tokyo, Japan Tesla Elon Musk
33. Paris, France Embedded Systems
34. Cape Town, South Africa Spiritual and Economic Linkages
35. Dubai, UAE Cognitive Computing
36. Minneapolis, MN Rural and Urban Linkages

Feedback and Engagement:
Integrating Market and State with People and Community, .

Chu, J.-H., Feng, K.-T., & Chang, T.-S. (2014). Energy-efficient cell selection and resource allocation in LTE-A heterogeneous networks. In 2014 IEEE 25th annual international symposium on personal, indoor, and mobile radio communication (PIMRC), 2014: IEEE, pp. 976–980.��
�Guvenc, I. (2011). Capacity and fairness analysis of heterogeneous networks with range expansion and interference coordination. IEEE Communications Letters, 15(10), 1084–1087.��
* Okino, K., Nakayama, T., Yamazaki, C., Sato, H., & Kusano, Y. (2011). Pico cell range expansion with interference mitigation toward LTE-Advanced heterogeneous networks. In 2011 IEEE international conference on communications workshops (ICC), 2011: IEEE, pp. 1–5.��
* Tefft, J. R., & Kirsch, N. J. (2013). A proximity-based Q-learning reward function for femtocell networks. In 2013 IEEE 78th vehicular technology conference (VTC Fall), 2013: IEEE, pp. 1–5.� �
* Saad, H., Mohamed, A., & ElBatt, T. (2012). Distributed cooperative Q-learning for power allocation in cognitive femtocell networks. In 2012 IEEE vehicular technology conference (VTC Fall), 2012: IEEE, pp. 1–5.�
* Wen, B., Gao, Z., Huang, L., Tang, Y., & Cai, H. (2014). A Q-learning-based downlink resource scheduling method for capacity optimization in LTE femtocells. In 2014 9th international conference on computer science & education, 2014: IEEE, pp. 625–628.��
* Galindo-Serrano, A., & Giupponi, L. (2010). Distributed Q-learning for interference control in OFDMA-based femtocell networks. In 2010 IEEE 71st vehicular technology conference, 2010: IEEE, pp. 1–5.��
* Guo, D., Tang, L., Zhang, X., & Liang, Y.-C. (2020). Joint optimization of handover control and power allocation based on multi-agent deep reinforcement learning. IEEE Transactions on Vehicular Technology, 69(11), 13124–13138.��
* Alnwaimi, G., Vahid, S., & Moessner, K. (2014). Dynamic heterogeneous learning games for opportunistic access in LTE-based macro/femtocell deployments. IEEE Transactions on Wireless Communications, 14(4), 2294–2308.��
* Onireti, O., et al. (2015). A cell outage management framework for dense heterogeneous networks. IEEE Transactions on Vehicular Technology, 65(4), 2097–2113.�
* Behjati, M., & Cosmas, J. (2013). Self-organizing network interference coordination for future LTE-advanced networks. In 2013 IEEE international symposium on broadband multimedia systems and broadcasting (BMSB), 2013: IEEE, pp. 1–5.�
* Aguilar-Garcia, A., et al. (2015). Location-aware self-organizing methods in femtocell networks. Computer Networks, 93, 125–140.��
* Kudo, T., & Ohtsuki, T. (2013). Cell range expansion using distributed Q-learning in heterogeneous networks. Eurasip journal on wireless communications and networking, 2013(1), 1–10.��
* Gomez, C. A., Shami, A., & Wang, X. (2018). Machine learning aided scheme for load balancing in dense IoT networks. Sensors, 18(11), 3779.��
* Ye, Q., Rong, B., Chen, Y., Al-Shalash, M., Caramanis, C., & Andrews, J. G. (2013). User association for load balancing in heterogeneous cellular networks. IEEE Transactions on Wireless Communications, 12(6), 2706–2716.��
* Jiang, H., Pan, Z., Liu, N., You, X., & Deng, T. (2016). Gibbs-sampling-based CRE bias optimization algorithm for ultradense networks. IEEE Transactions on Vehicular Technology, 66(2), 1334–1350.��
* Park, J.-B., & Kim, K. S. (2017). Load-balancing scheme with small-cell cooperation for clustered heterogeneous cellular networks. IEEE Transactions on Vehicular Technology, 67(1), 633–649.��
* Afshang, M., & Dhillon, H. S. (2018). Poisson cluster process based analysis of HetNets with correlated user and base station locations. IEEE Transactions on Wireless Communications, 17(4), 2417–2431.��
* Musleh, S., Ismail, M., & Nordin, R. (2017). Load balancing models based on reinforcement learning for self-optimized macro-femto LTE-advanced heterogeneous network. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(1), 47–54.��
* Jaber, M., Imran, M., Tafazolli, R., & Tukmanov, A. (2015). An adaptive backhaul-aware cell range extension approach. In 2015 IEEE international conference on communication workshop (ICCW), 2015: IEEE, pp. 74–79.�
* Hamidouche, K., Saad, W., Debbah, M., Song, J. B., & Hong, C. S. (2017). The 5G cellular backhaul management dilemma: To cache or to serve. IEEE Transactions on Wireless Communications, 16(8), 4866–4879.��
* Samarakoon, S., Bennis, M., Saad, W., & Latva-aho, M. (2013). Backhaul-aware interference management in the uplink of wireless small cell networks. IEEE Transactions on Wireless Communications, 12(11), 5813–5825.
* Team Basics: Edge, Security, Cloud, Data. Holistic Development with Community.

1�Aprodu, M., Naie, D.: Enriques diagrams and the log-canonical threshold for curves. Preprint, arXiv:math/07070783.�2�Casas-Alvero E.: Infinitely near imposed singularities and singularities of polar curves. Math. Ann. 287, 429–454 (1990)�� 3�Ein, L.: Multiplier ideals, vanishing theorems and applications. Algebraic geometry—Santa Cruz, pp. 203–219 (1995)�4�Ein L., Lazarsfeld R., Smith K.E., Varolin D.: Jumping coefficients of multiplier ideals. Duke Math. J. 123(3), 469–506 (2004)�� 5�Enriques F., Chisini O.: Lezioni Sulla Teoria Geometrica Delle Equazioni e Delle Funzioni Algebriche. N. Zanichelli, Bologna (1915)�� 6�Evain L.: La fonction de Hilbert de la réunion de 4h gros points génériques de ℙ� de même multiplicité. J. Algebraic Geom. 8, 787–796 (1999)�� 7�Favre Ch., Jonsson M.: Valuations and multiplier ideals. J. Am. Math. Soc. 18(3), 655–684 (2005)�� 8�Howald J.A.: Multiplier ideals of monomial ideals. Trans. Am. Math. Soc. 353, 2665–2671 (2001)�� 9�Järviletho, T.: Jumping numbers of a simple complete ideal in a two-dimensional regular local ring. Ph.D. Thesis, University of Helsinky (2007)�10�Lazarsfeld, R.: Positivity in algebraic geometry. A Series of Modern Surveys in Mathematics. Springer, Berlin (2004)�11�Naie D.: Irregularity of cyclic multiple planes after Zariski. L’enseignement mathématique 53, 265–305 (2008)�� 12�Semple J.G., Kneebone G.T.: Algebraic Curves. Oxford University Press, London-New York (1959)�� 13�Smith, K.E., Thompson, H.M.: Irrelevant exceptional divisors for curves on a smooth surface. Preprint, arXiv:math/0611765�14�Tucker, K.: Jumping Numbers on algebraic surfaces with rational singularities. Preprint, arXiv:math/081.0734�15�Wall, C.T.C.: Singular points of plane curves. London Mathematical Society Student Texts, vol. 63. Cambridge University Press, Cambridge (2004)

25/12/2021

Smart Cities / Regions / For Development / Community Building / Learning / Network Mobilization / Innovation / Market Integration

1. Austin, Texas
2. Los Angeles, California
3. San Diego, California
4. Denver, Colorado
5. Houston, Texas
6. Chicago, Illinois
7. New York, New York
8. London, United Kingdom
9. Bangkok, Thailand
10. Seoul Korea
11. Italy / Brasil / Hong Kong
12. Berlin, Germany
13. Stockholm, Sweden
14. Detroit, Michigan
15. Miami, Florida
16. Tampa, Florida
17. Charlotte, NC
18. Richmond, Virginia
19. Boston, Massachusetts
20. Phoenix, AZ
21. Seattle, WA
22. Portland, OR
23. Vancouver, BC
24. Toronto, Ontario
25. Madrid, Spain
26. Mumbai, India
27. Kansas City, MO
28. St. Petersberg, FL
29. Nashville, Tennesse
30. Netherlands, Israel, Australia
31. Atlanta, Georgia,
32. Tokyo, Japan
33. Paris, France
34. Cape Town, South Africa
35. Dubai, UAE
36. Minneapolis, MN

Integrating Market and State with People and Community, with Wisdom and Motivation.

Chu, J.-H., Feng, K.-T., & Chang, T.-S. (2014). Energy-efficient cell selection and resource allocation in LTE-A heterogeneous networks. In 2014 IEEE 25th annual international symposium on personal, indoor, and mobile radio communication (PIMRC), 2014: IEEE, pp. 976–980.��
�Guvenc, I. (2011). Capacity and fairness analysis of heterogeneous networks with range expansion and interference coordination. IEEE Communications Letters, 15(10), 1084–1087.��
* Okino, K., Nakayama, T., Yamazaki, C., Sato, H., & Kusano, Y. (2011). Pico cell range expansion with interference mitigation toward LTE-Advanced heterogeneous networks. In 2011 IEEE international conference on communications workshops (ICC), 2011: IEEE, pp. 1–5.��
* Tefft, J. R., & Kirsch, N. J. (2013). A proximity-based Q-learning reward function for femtocell networks. In 2013 IEEE 78th vehicular technology conference (VTC Fall), 2013: IEEE, pp. 1–5.� �
* Saad, H., Mohamed, A., & ElBatt, T. (2012). Distributed cooperative Q-learning for power allocation in cognitive femtocell networks. In 2012 IEEE vehicular technology conference (VTC Fall), 2012: IEEE, pp. 1–5.�
* Wen, B., Gao, Z., Huang, L., Tang, Y., & Cai, H. (2014). A Q-learning-based downlink resource scheduling method for capacity optimization in LTE femtocells. In 2014 9th international conference on computer science & education, 2014: IEEE, pp. 625–628.��
* Galindo-Serrano, A., & Giupponi, L. (2010). Distributed Q-learning for interference control in OFDMA-based femtocell networks. In 2010 IEEE 71st vehicular technology conference, 2010: IEEE, pp. 1–5.��
* Guo, D., Tang, L., Zhang, X., & Liang, Y.-C. (2020). Joint optimization of handover control and power allocation based on multi-agent deep reinforcement learning. IEEE Transactions on Vehicular Technology, 69(11), 13124–13138.��
* Alnwaimi, G., Vahid, S., & Moessner, K. (2014). Dynamic heterogeneous learning games for opportunistic access in LTE-based macro/femtocell deployments. IEEE Transactions on Wireless Communications, 14(4), 2294–2308.��
* Onireti, O., et al. (2015). A cell outage management framework for dense heterogeneous networks. IEEE Transactions on Vehicular Technology, 65(4), 2097–2113.�
* Behjati, M., & Cosmas, J. (2013). Self-organizing network interference coordination for future LTE-advanced networks. In 2013 IEEE international symposium on broadband multimedia systems and broadcasting (BMSB), 2013: IEEE, pp. 1–5.�
* Aguilar-Garcia, A., et al. (2015). Location-aware self-organizing methods in femtocell networks. Computer Networks, 93, 125–140.��
* Kudo, T., & Ohtsuki, T. (2013). Cell range expansion using distributed Q-learning in heterogeneous networks. Eurasip journal on wireless communications and networking, 2013(1), 1–10.��
* Gomez, C. A., Shami, A., & Wang, X. (2018). Machine learning aided scheme for load balancing in dense IoT networks. Sensors, 18(11), 3779.��
* Ye, Q., Rong, B., Chen, Y., Al-Shalash, M., Caramanis, C., & Andrews, J. G. (2013). User association for load balancing in heterogeneous cellular networks. IEEE Transactions on Wireless Communications, 12(6), 2706–2716.��
* Jiang, H., Pan, Z., Liu, N., You, X., & Deng, T. (2016). Gibbs-sampling-based CRE bias optimization algorithm for ultradense networks. IEEE Transactions on Vehicular Technology, 66(2), 1334–1350.��
* Park, J.-B., & Kim, K. S. (2017). Load-balancing scheme with small-cell cooperation for clustered heterogeneous cellular networks. IEEE Transactions on Vehicular Technology, 67(1), 633–649.��
* Afshang, M., & Dhillon, H. S. (2018). Poisson cluster process based analysis of HetNets with correlated user and base station locations. IEEE Transactions on Wireless Communications, 17(4), 2417–2431.��
* Musleh, S., Ismail, M., & Nordin, R. (2017). Load balancing models based on reinforcement learning for self-optimized macro-femto LTE-advanced heterogeneous network. Journal of Telecommunication, Electronic and Computer Engineering (JTEC), 9(1), 47–54.��
* Jaber, M., Imran, M., Tafazolli, R., & Tukmanov, A. (2015). An adaptive backhaul-aware cell range extension approach. In 2015 IEEE international conference on communication workshop (ICCW), 2015: IEEE, pp. 74–79.�
* Hamidouche, K., Saad, W., Debbah, M., Song, J. B., & Hong, C. S. (2017). The 5G cellular backhaul management dilemma: To cache or to serve. IEEE Transactions on Wireless Communications, 16(8), 4866–4879.��
* Samarakoon, S., Bennis, M., Saad, W., & Latva-aho, M. (2013). Backhaul-aware interference management in the uplink of wireless small cell networks. IEEE Transactions on Wireless Communications, 12(11), 5813–5825.
* Team Basics: Edge, Security, Cloud, Data. Holistic Development with Community.

1�Aprodu, M., Naie, D.: Enriques diagrams and the log-canonical threshold for curves. Preprint, arXiv:math/07070783.�2�Casas-Alvero E.: Infinitely near imposed singularities and singularities of polar curves. Math. Ann. 287, 429–454 (1990)�� 3�Ein, L.: Multiplier ideals, vanishing theorems and applications. Algebraic geometry—Santa Cruz, pp. 203–219 (1995)�4�Ein L., Lazarsfeld R., Smith K.E., Varolin D.: Jumping coefficients of multiplier ideals. Duke Math. J. 123(3), 469–506 (2004)�� 5�Enriques F., Chisini O.: Lezioni Sulla Teoria Geometrica Delle Equazioni e Delle Funzioni Algebriche. N. Zanichelli, Bologna (1915)�� 6�Evain L.: La fonction de Hilbert de la réunion de 4h gros points génériques de ℙ� de même multiplicité. J. Algebraic Geom. 8, 787–796 (1999)�� 7�Favre Ch., Jonsson M.: Valuations and multiplier ideals. J. Am. Math. Soc. 18(3), 655–684 (2005)�� 8�Howald J.A.: Multiplier ideals of monomial ideals. Trans. Am. Math. Soc. 353, 2665–2671 (2001)�� 9�Järviletho, T.: Jumping numbers of a simple complete ideal in a two-dimensional regular local ring. Ph.D. Thesis, University of Helsinky (2007)�10�Lazarsfeld, R.: Positivity in algebraic geometry. A Series of Modern Surveys in Mathematics. Springer, Berlin (2004)�11�Naie D.: Irregularity of cyclic multiple planes after Zariski. L’enseignement mathématique 53, 265–305 (2008)�� 12�Semple J.G., Kneebone G.T.: Algebraic Curves. Oxford University Press, London-New York (1959)�� 13�Smith, K.E., Thompson, H.M.: Irrelevant exceptional divisors for curves on a smooth surface. Preprint, arXiv:math/0611765�14�Tucker, K.: Jumping Numbers on algebraic surfaces with rational singularities. Preprint, arXiv:math/081.0734�15�Wall, C.T.C.: Singular points of plane curves. London Mathematical Society Student Texts, vol. 63. Cambridge University Press, Cambridge (2004)

22/12/2021

Jordan Etem: How do codes of ethics affect management behavior? The Impact of familiar ethics.

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Elon Musk: Internal and external alignment in the servitization journey - Overcoming the challenges.
Elon Musk: Internal and external alignment in the servitization journey - Overcoming the challenges.

* Barr, P. (1998). Adapting to unfamiliar environmental events: A look at the evolution of interpretation and its role in strategic change. Organization Science, 9, 644–669.�� * Bartunek, J. M., & Moch, M. K. (1987). First-order, second-order, and third-order change and organization development interventions: A cognitive approach. The Journal of Applied Behavioral Science, 23(4), 483–500.�� * Benedettini, O., Neely, A., & Swink, M. (2015). Why do servitized firms fail? A risk-based explanation. International Journal of Operations & Production Management, 35(6), 946–979.�� * Berger, P., & Luckmann, T. (1967). The social construction of reality. New York: Anchor Books.�� * Brummans, B., Putnam, L., Gray, B., Hanke, R., Lewicki, R. J., & Wiethoff, C. (2008). Making sense of intractable multiparty conflict: A study of framing in four environmental disputes. Communication Monographs, 75(1), 25–51.�� * Burton-Jones, A., & Straub, D. W. (2006). Re-conceptualizing system usage: An approach and empirical tests. Information Systems Research, 17(3), 228–246.�� * Chaudhuri, S., Dayal, U., & Narasayya, V. (2011). An overview of business intelligence technology. Communications of the ACM, 54(8), 88.�� * Choo, W. C. (2002). Sensemaking, knowledge creation, and decision making: Organizational knowing as emergent strategy. In C. W. Choo & N. Bontis (Eds.), Strategic management of intellectual capital and organizational knowledge (pp. 79–89). Oxford: Oxford University Press.�� * Davern, M., Shaft, M., & Te’eni, D. (2012). Cognition matters: Enduring questions in cognitive IS research. Journal of the Association for Information Systems, 13, 273–314.�� * Davidson, A. (2002). Technology frames and framing: A socio-cognitive investigation of requirements determination. MIS Quarterly, 26(4), 329–358.�� * Davidson, E. (2006). A technological frames perspective on information technology and organizational change. The Journal of Appli

Feedback and Engagement: Integrating Market and State with People and Community, #Wisdom #Motivation.
Feedback and Engagement: Integrating Market and State with People and Community, #Wisdom #Motivation.

Smart Cities / Regions / For Development / Community Building / Learning / Network Mobilization / Innovation / Market Integration 1. Austin, Texas #Austin Collaboration 2. Los Angeles, California #LosAngeles Insight 3. San Diego, California #SanDiego Team Basics 4. Denver, Colorado #Denver Value Propositions 5. Houston, Texas #Houston Software Design 6. Chicago, Illinois #Chicago Community Building 7. New York, New York #NewYork SuperRadiance 8. London, United Kingdom #London Joy 9. Bangkok, Thailand #Bangkok Honor 10. Seoul Korea #Seoul Good Faith 11. Italy / Brasil / Hong Kong #HongKong Integrity 12. Berlin, Germany #Berlin Mindfulness 13. Stockholm, Sweden #Stockholm ComplexSystems 14. Detroit, Michigan #Detroit Multi Objective Optimization 15. Miami, Florida #Miami Family Science 16. Tampa, Florida #Tampa Quantum Chemistry 17. Charlotte, NC #Charlotte Decision Support 18. Richmond, Virginia #Richmond Sustainability 19. Boston, Massachusetts #Boston Learning and Improvement 20. Phoenix, AZ #Phoenix Intelligent Systems 21. Seattle, WA #Seattle Smart City as a Service 22. Portland, OR #Portland Rational Unified Process 23. Vancouver, BC #Vancouver Quantum Optimization 24. Toronto, Ontario #Toronto Health 25. Madrid, Spain #Madrid Quality 26. Mumbai, India #Mumbai Apple Development 27. Kansas City, MO #KansasCity Microsoft Development 28. St. Petersberg, FL #StPetersberg Edge Computing 29. Nashville, Tennesse #Nashville SaaS 30. Netherlands, Israel, Australia #Collaboration 31. Atlanta, Georgia, #Atlanta Oracle 32. Tokyo, Japan #Tokyo Tesla Elon Musk 33. Paris, France #Paris Embedded Systems 34. Cape Town, South Africa #CapeTown Spiritual and Economic Linkages 35. Dubai, UAE #Dubai Cognitive Computing 36. Minneapolis, MN #Minneapolis Rural and Urban Linkages Feedback and Engagement: Integrating Market and State with People and Community, #Wisdom #Motivation. Chu, J.-H., Feng, K.-T., & Chang, T.-S. (2014). Energy-efficient cell s

Jordan Etem: Christmas Learning.
Jordan Etem: Christmas Learning.

Smart Cities / Regions / For Development / Community Building / Learning / Network Mobilization / Innovation / Market Integration 1. Austin, Texas #Austin 2. Los Angeles, California #LosAngeles 3. San Diego, California #SanDiego 4. Denver, Colorado #Denver 5. Houston, Texas #Houston 6. Chicago, Illinois #Chicago 7. New York, New York #NewYork 8. London, United Kingdom #London 9. Bangkok, Thailand #Bangkok 10. Seoul Korea #Seoul 11. Italy / Brasil / Hong Kong #HongKong 12. Berlin, Germany #Berlin 13. Stockholm, Sweden #Stockholm 14. Detroit, Michigan #Detroit 15. Miami, Florida #Miami 16. Tampa, Florida #Tampa 17. Charlotte, NC #Charlotte 18. Richmond, Virginia #Richmond 19. Boston, Massachusetts #Boston 20. Phoenix, AZ #Phoenix 21. Seattle, WA #Seattle 22. Portland, OR #Portland 23. Vancouver, BC #Vancouver 24. Toronto, Ontario #Toronto 25. Madrid, Spain #Madrid 26. Mumbai, India #Mumbai 27. Kansas City, MO #KansasCity 28. St. Petersberg, FL #StPetersberg 29. Nashville, Tennesse #Nashville 30. Netherlands, Israel, Australia #Collaboration 31. Atlanta, Georgia, #Atlanta 32. Tokyo, Japan #Tokyo 33. Paris, France #Paris 34. Cape Town, South Africa #CapeTown 35. Dubai, UAE #Dubai 36. Minneapolis, MN #Minneapolis Integrating Market and State with People and Community, with Wisdom and Motivation. Chu, J.-H., Feng, K.-T., & Chang, T.-S. (2014). Energy-efficient cell selection and resource allocation in LTE-A heterogeneous networks. In 2014 IEEE 25th annual international symposium on personal, indoor, and mobile radio communication (PIMRC), 2014: IEEE, pp. 976–980.��#Sustainability �Guvenc, I. (2011). Capacity and fairness analysis of heterogeneous networks with range expansion and interference coordination. IEEE Communications Letters, 15(10), 1084–1087.��#Communications * Okino, K., Nakayama, T., Yamazaki, C., Sato, H., & Kusano, Y. (2011). Pico cell range expansion with interference mitigation toward LTE-Advanced heterog

Sheryl Sandberg and Guy Kawasaki: Creating Radiance for People and Community. Holistic Progress with the market.
Sheryl Sandberg and Guy Kawasaki: Creating Radiance for People and Community. Holistic Progress with the market.

Sheryl Sandberg and Guy Kawasaki: Creating Radiance for People and Community. Holistic Progress with the market. * Sirower ML (1997) Synergy trap: how companies lose the acquisition game. Simon & Schuster, New York, NY��#Ethics * Slusky AR, Caves RE (1991) Synergy, agency and the determinants of premia paid in mergers. J Ind Econ 39(3):277–296�#DataScience� * Sparks D (1998) Creating and leading strategic combinations. Delta Consulting Group, New York, NY�#DataEngineering� * Stahl GK, Voight A (2008) Do cultural differences matter in mergers and acquisitions? A tentative model for examination. Organ Sci 19:160–176��#DataMining * Stahl GK, Angwin DN, Very P, Gomes E, Weber Y, Tarba SY, Noorderhaven N, Benyamini H, Bouckenooghe D, Chreim S, Durand M, Hassett ME, Kokk G, Mendenhall ME, Mirc N, Miska C, Park KM, Reynolds N-S, Rouzies A, Sarala RM, Seloti SL, Søndergaard M, Yildiz HE (2013) Sociocultural integration in mergers and acquisitions: unresolved paradoxes and directions for future research. Thunderbird Int Bus Rev 55(4):333–356��#Oracle #AI #ValueCreation * Steiner PO (1975) Mergers: motives, effect, policies. University of Michigan Press, Ann Arbor, MI�#Microsoft� * Strikwerda J, Stoelhorst JW (2009) The emergence and evolution of the multidimensional organization. Calif Manag Rev 51(4):11–31��#Intel * Sudarsanam S, Holl P, Salami A (1996) Shareholder wealth gains in mergers: effect of synergy and ownership. J Bus Financ Account 23(5–6):673–698��#AMD * Takeishi A (2001) Bridging inter- and intra-firm boundaries: management of supplier involvement in automobile product development. Strateg Manag J 22(5):403–433��#Tesla * Teece DJ, Pisano G, Shuen A (1997) Dynamic capabilities and strategic management. Strateg Manag J 18:509–533�#Dell� * Thanos IC, Papadakis VM (2012) The use of accounting-based measures in measuring M&A performance: a review of five decades of research. In: Cooper CL, Finkelstein S (ed

Jordan Etem: How do codes of ethics affect management behavior? The Impact of familiar ethics.
Jordan Etem: How do codes of ethics affect management behavior? The Impact of familiar ethics.

Jordan Etem: How do codes of ethics affect management behavior? The Impact of familiar ethics. * Sirower ML (1997) Synergy trap: how companies lose the acquisition game. Simon & Schuster, New York, NY��#Ethics * Slusky AR, Caves RE (1991) Synergy, agency and the determinants of premia paid in mergers. J Ind Econ 39(3):277–296�#DataScience� * Sparks D (1998) Creating and leading strategic combinations. Delta Consulting Group, New York, NY�#DataEngineering� * Stahl GK, Voight A (2008) Do cultural differences matter in mergers and acquisitions? A tentative model for examination. Organ Sci 19:160–176��#DataMining * Stahl GK, Angwin DN, Very P, Gomes E, Weber Y, Tarba SY, Noorderhaven N, Benyamini H, Bouckenooghe D, Chreim S, Durand M, Hassett ME, Kokk G, Mendenhall ME, Mirc N, Miska C, Park KM, Reynolds N-S, Rouzies A, Sarala RM, Seloti SL, Søndergaard M, Yildiz HE (2013) Sociocultural integration in mergers and acquisitions: unresolved paradoxes and directions for future research. Thunderbird Int Bus Rev 55(4):333–356��#Oracle #AI #ValueCreation * Steiner PO (1975) Mergers: motives, effect, policies. University of Michigan Press, Ann Arbor, MI�#Microsoft� * Strikwerda J, Stoelhorst JW (2009) The emergence and evolution of the multidimensional organization. Calif Manag Rev 51(4):11–31��#Intel * Sudarsanam S, Holl P, Salami A (1996) Shareholder wealth gains in mergers: effect of synergy and ownership. J Bus Financ Account 23(5–6):673–698��#AMD * Takeishi A (2001) Bridging inter- and intra-firm boundaries: management of supplier involvement in automobile product development. Strateg Manag J 22(5):403–433��#Tesla * Teece DJ, Pisano G, Shuen A (1997) Dynamic capabilities and strategic management. Strateg Manag J 18:509–533�#Dell� * Thanos IC, Papadakis VM (2012) The use of accounting-based measures in measuring M&A performance: a review of five decades of research. In: Cooper CL, Finkelstein S (eds) Advances in m

Jordan Etem: Organizing Cybersecurity in Action: A Pragmatic, Ethical Reasoning Approach.
Jordan Etem: Organizing Cybersecurity in Action: A Pragmatic, Ethical Reasoning Approach.

Jordan Etem: Organizing Cybersecurity in Action: A Pragmatic, Ethical Reasoning Approach. #Organization #Oracle #Tesla #Microsoft #TeamBasics #Meta #People #Community #Integration #Ethics #CyberSecurity #Dell #Intel * Adams, J.S., Tashchian, A., Shore, T.H.: Codes of ethics as signals for ethical behavior. J. Bus. Ethics 29(3), 199–211 (2001)�#DeepLearning� * Anderson, J.C., Rungtusanatham, M., Schroeder, R.G.: A theory of quality management underlying the deming management method. Acad. Manag. Rev. 19(3), 472–509 (1994)�#ReinforcementLearning� * Argyris, C., Schön, D.: Organizational Learning: A Theory of Action Perspective. Addison-Wesley, Reading (1978)�#Reasoning� * Baskerville, R.: Information warfare: a comparative framework for business information security. J. Inf. Syst. Secur. 1(1), 23–50 (2005)�#Optimization� * Baskerville, R., Rowe, F., Wolff, F.C.: Integration of information systems and cybersecurity countermeasures. ACM SIGMIS Database: DATABASE for Adv. Inf. Syst. 49(1), 33–52 (2018)�#Economics� * Baskerville, R., Spagnoletti, P., Kim, J.: Incident-centered information security: managing a strategic balance between prevention and response. Inf. Manag. 51(1), 138–151 (2014)��#CloudComputing * de Bruijn, H., Janssen, M.: Building cybersecurity awareness: the need for evidence-based framing strategies. Gov. Inf. Q. 34(1), 1–7 (2017)��#FinTech * Canard, F.: “W. E . DEMING, pragmatism and sustainability. In: 17th Annual International Deming Research Seminar, pp. 1–17. HAL Archives-Ouvertes, New York (2011)��#Action * D’Arcy, J., Hovav, A.: Does one size fit all? Examining the differential effects of IS security countermeasures. J. Bus. Ethics 89(SUPPL. 1), 59–71 (2009)� * Deming, W.E.: The New Economics, p. 235. MIT Press, Cambridge (2000)�#Planning� * Depaoli, P., Sorrentino, M., De Marco, M.: Social and ethical shifts in the digital age: digital technologies for governing or digital technolog

Holistic Light. Big Data, Big Wisdom. #Insight #People #Community #MachineLearning
Holistic Light. Big Data, Big Wisdom. #Insight #People #Community #MachineLearning

Holistic Light. Big Data, Big Wisdom. #Insight #People #Community #MachineLearning * Stern, J. M., Shiely, J. S., & Ross, I. (2001). The EVA challenge: Implementing value-added change in an organization. New York: John Wiley & Sons.�#Oracle #LarryEllison� * Striteska, M., & Spickova, M. (2012). Review and comparison of performance measurement systems. The Journal of Organizational Management Studies, 2012, 1–13. https://doi.org/10.5171/2012.114900�#Tesla #ElonMusk� * Susilawati, A., Tan, J., Bell, D., & Sarwar, M. (2013). Develop a framework of performance measurement and improvement system for lean manufacturing activity. International Journal of Lean Thinking, 4(1), 51–64. https://doi.org/10.1108/JMTM-06-2017-0098�#Microsoft� * Tennant, C., & Roberts, P. A. (2000). Hoshin kanri: A technique for strategic quality management. Quality Assurance, 8(2), 77–90. https://doi.org/10.1080/105294100317173862��#Meta * Tillema, S., & van der Steen, M. (2015). Co-existing concepts of management control. Management Accounting Research, 27, 67–83. https://doi.org/10.1016/j.mar.2015.01.002��#Intel * Toft, J. S., & Lueg, R. (2015). Does EVA beat earnings? A literature review of the evidence since Biddle et al. (1997). Corporate Ownership and Control, 12(3), 8–18. https://doi.org/10.1016/S0165-4101(98)00010-X��#AMD * Vamsi Krishna Jasti, N., & Kodali, R. (2014). A literature review of empirical research methodology in lean manufacturing. International Journal of Operations & Production Management, 34(8), 1080–1122. https://doi.org/10.1108/IJOPM-04-2012-0169��#EmbeddedSystems #Apple * Venanzi, D. (2012). Financial performance measures and value creation: The state of the art. Milan: Springer.��#JPMorgan * Verweire, K., & Van den Berghe, L. (2004). Performance goals and the strategy formation process. In K. Verweire & L. Van den Berghe (Eds.), Integrated performance management: A guide to strategy implementation (pp. 93–115). Lo

Elon Musk: Enabling Value Stream Mapping for Internal Logistics Using Multi Dimensional Process Mining. #Stakeholders
Elon Musk: Enabling Value Stream Mapping for Internal Logistics Using Multi Dimensional Process Mining. #Stakeholders

Elon Musk: Enabling Value Stream Mapping for Internal Logistics Using Multi Dimensional Process Mining. #Stakeholders Schroder, P., Green, B., Grum, N., Fleming, P.: On-line evolution of robust control systems: an industrial active magnetic bearing application. Control Engineering Practice 9(1), 37–49 (2001) Dumas, M., La Rosa, M., Mendling, J., Reijers, H.J.: Fundamentals of Business Process Management. Springer, Heidelberg (2013). https://doi.org/10.1007/978-3-662-56509-4 Alkan, B., Vera, D.A., Ahmad, A., Ahmad, B., Harrison, R.: Complexity in manufacturing systems and its measures: a literature review. EJIE 12, 116–150 (2018) Fox, F., Aggarwal, V.R., Whelton, H., Johnson, O.: A data quality framework for process mining of electronic health record data. In: 2018 IEEE International Conference on Healthcare Informatics, NJ, pp. 12–21. IEEE (2018) Schuh, G., Reuter, C., Prote, J.-P., Brambring, F., Ays, J.: Increasing data integrity for improving decision making in production planning and control. CIRP Ann. 66, 425–428 (2017) Schuh, G., Thomas, C., Hauptvogel, A., Brambring, F.: Achieving higher scheduling accuracy in production control by implementing integrity rules for production feedback data. Procedia CIRP 19, 142–147 (2014) * Stern, J. M., Shiely, J. S., & Ross, I. (2001). The EVA challenge: Implementing value-added change in an organization. New York: John Wiley & Sons.�#Oracle� * Striteska, M., & Spickova, M. (2012). Review and comparison of performance measurement systems. The Journal of Organizational Management Studies, 2012, 1–13. https://doi.org/10.5171/2012.114900�#Tesla� * Susilawati, A., Tan, J., Bell, D., & Sarwar, M. (2013). Develop a framework of performance measurement and improvement system for lean manufacturing activity. International Journal of Lean Thinking, 4(1), 51–64. https://doi.org/10.1108/JMTM-06-2017-0098�#Microsoft� * Tennant, C., & Roberts, P. A. (2000). Hoshin kanri: A technique for strategic qual

Team Basics: Improving as a whole with evolved innovation. #DeepLearning #Engineering #Breakthroughs
Team Basics: Improving as a whole with evolved innovation. #DeepLearning #Engineering #Breakthroughs

Team Basics: Improving as a whole with evolved innovation. #DeepLearning #Engineering #Breakthroughs * 1.�Ben-Ari M (2008) Mathematical logic for computer science, 2nd edn. Springer International, London. ISBN-978-81-8128-344-3�#Logic� * 2.�Chowdhary KR (2012) Fundamentals of discrete mathematical structures, 2nd edn. EEE PHI India. ISBN: 978-81-203-4506-5�#Structure� * 3.�Cohen PJ (2008) Set theory and the continuum hypothesis. Dover, New York�#SetTheory� * 4.�Davis M, Putnam H (1960) A computing procedure for quantification theory. J ACM 7(3):201–215. https://doi.org/10.1145/321033.321034�#QuantificationTheory� * 5.�Gelder AV (1991) The well-founded semantics for general logic programs. J ACM 38(3):620–650�#Semantics� * 6.�Hilbert D (2005) The foundations of geometry. Ebook # 17384�#Reasoning #GeometricComplexity� * 7.�Kaushik S (2002) Logic and prolog programming. New Age International, New Delhi�#EmbeddedSystems� * 8.�Puppes P (1972) Axiomatic set theory. Dover, New York�#DataAnalytics� * 9.�Shankar N (2009) Automated deduction for verification. ACM Comput Surv 41(4):20:1. �#Transactions * 1.�Bborrajo D et al (2015) Progress in case-based planning. ACM Comput Surv 47(35):1–35�#Planning #Guidance #CaseBased� * 2.�Bonet B, Geffner H (2001) Planning as heuristic search. Artifi Intell 129:5–33�#Family� * 3.�Dean T (1996) Automated planning. ACM Comput Surv 28(1):85–88�#Vacations #Meetings #Conferences #Development � * 4.�Fikes RE, Nilsson NJ (1971) STRIPS: a new approach to the application of theorem proving to problem solving. Artifi Intell 2:189–208�#Innovation #WellsFargo� * 5.�Jonsson P et al (2000) Towards efficient universal planning: a randomized approach. Artifi Intell 117:1–29��#ProblemSolving #Oracle * 6.�Kaelbling LP et al (1998) Planning and acting in partially observable stochastic domains. Artifi Intell 101:99–134�#Operations� * 7.�Kambhamp

Oracle and Tesla: Securing internet of things from the ground up. �Diffusion of Innovation, Big Value for Economy and Community. Smart City as a Service. #DeepLearning
Oracle and Tesla: Securing internet of things from the ground up. �Diffusion of Innovation, Big Value for Economy and Community. Smart City as a Service. #DeepLearning

Oracle and Tesla: Securing internet of things from the ground up. �Diffusion of Innovation, Big Value for Economy and Community. Smart City as a Service. #DeepLearning #USA #SmartCities #Developers #Businesses #Innovation #CloudComputing #Technology #Infrastructure #SaaS #Chemistry #Catalyst #WinningDynamics #RayDalio #ElonMusk #LarryEllison #Tesla #Oracle #Databases #Feedback #ComputerVision Improving Services, Holistic Decision Making, Breakthrough progress, Sensible Planning, Real Innovation. Integrating Market and State with People and Community, with Wisdom and Motivation. Chu, J.-H., Feng, K.-T., & Chang, T.-S. (2014). Energy-efficient cell selection and resource allocation in LTE-A heterogeneous networks. In 2014 IEEE 25th annual international symposium on personal, indoor, and mobile radio communication (PIMRC), 2014: IEEE, pp. 976–980.��#Sustainability �Guvenc, I. (2011). Capacity and fairness analysis of heterogeneous networks with range expansion and interference coordination. IEEE Communications Letters, 15(10), 1084–1087.��#Communications * Okino, K., Nakayama, T., Yamazaki, C., Sato, H., & Kusano, Y. (2011). Pico cell range expansion with interference mitigation toward LTE-Advanced heterogeneous networks. In 2011 IEEE international conference on communications workshops (ICC), 2011: IEEE, pp. 1–5.�� * Tefft, J. R., & Kirsch, N. J. (2013). A proximity-based Q-learning reward function for femtocell networks. In 2013 IEEE 78th vehicular technology conference (VTC Fall), 2013: IEEE, pp. 1–5.�#Innovation� * Saad, H., Mohamed, A., & ElBatt, T. (2012). Distributed cooperative Q-learning for power allocation in cognitive femtocell networks. In 2012 IEEE vehicular technology conference (VTC Fall), 2012: IEEE, pp. 1–5.�#Cooperation #Infrastructure� * Wen, B., Gao, Z., Huang, L., Tang, Y., & Cai, H. (2014). A Q-learning-based downlink resource scheduling method for capacity optimization in LTE femtocells. In 2014 9th

Team Basics: Edge, Security, Cloud, Data. Holistic Development with Community.
Team Basics: Edge, Security, Cloud, Data. Holistic Development with Community.

Team Basics: Edge, Security, Cloud, Data. Holistic Development with Community. Chandra, Y. (2017). Social entrepreneurship as emancipatory work. Journal of Business Venturing, 32(6), 657–673. Connecting People, Building Relationships: Elon Musk, Tesla Julie Sweet, Accenture Ray Dalio #Principles Lisa Su, AMD Marissa Mayer #Catalyst Safra Catz, Oracle �Connecting Communities, Strengthening Collaboration: #USA #Israel #Italy #Europe #SmartCities #Developers #Businesses Improving Services, Holistic Decision Making, Breakthrough progress, Sensible Planning, Real Innovation. Integrating Market and State with People and Community, with Wisdom and Motivation. Chu, J.-H., Feng, K.-T., & Chang, T.-S. (2014). Energy-efficient cell selection and resource allocation in LTE-A heterogeneous networks. In 2014 IEEE 25th annual international symposium on personal, indoor, and mobile radio communication (PIMRC), 2014: IEEE, pp. 976–980.��#Sustainability �Guvenc, I. (2011). Capacity and fairness analysis of heterogeneous networks with range expansion and interference coordination. IEEE Communications Letters, 15(10), 1084–1087.��#Communications * Okino, K., Nakayama, T., Yamazaki, C., Sato, H., & Kusano, Y. (2011). Pico cell range expansion with interference mitigation toward LTE-Advanced heterogeneous networks. In 2011 IEEE international conference on communications workshops (ICC), 2011: IEEE, pp. 1–5.�� * Tefft, J. R., & Kirsch, N. J. (2013). A proximity-based Q-learning reward function for femtocell networks. In 2013 IEEE 78th vehicular technology conference (VTC Fall), 2013: IEEE, pp. 1–5.�#Innovation� * Saad, H., Mohamed, A., & ElBatt, T. (2012). Distributed cooperative Q-learning for power allocation in cognitive femtocell networks. In 2012 IEEE vehicular technology conference (VTC Fall), 2012: IEEE, pp. 1–5.�#Cooperation #Infrastructure� * Wen, B., Gao, Z., Huang, L., Tang, Y., & Cai, H. (2014). A Q-learning-based downlink reso

Clay Magouyrk and Safra Catz: Building spiritual and economic linkages between Stockholm and Milan. #Community
Clay Magouyrk and Safra Catz: Building spiritual and economic linkages between Stockholm and Milan. #Community

Clay Magouyrk and Safra Catz: Building spiritual and economic linkages between Stockholm and Milan. #Community �Chu, J.-H., Feng, K.-T., & Chang, T.-S. (2014). Energy-efficient cell selection and resource allocation in LTE-A heterogeneous networks. In 2014 IEEE 25th annual international symposium on personal, indoor, and mobile radio communication (PIMRC), 2014: IEEE, pp. 976–980.��#Sustainability �Guvenc, I. (2011). Capacity and fairness analysis of heterogeneous networks with range expansion and interference coordination. IEEE Communications Letters, 15(10), 1084–1087.��#Communications * Okino, K., Nakayama, T., Yamazaki, C., Sato, H., & Kusano, Y. (2011). Pico cell range expansion with interference mitigation toward LTE-Advanced heterogeneous networks. In 2011 IEEE international conference on communications workshops (ICC), 2011: IEEE, pp. 1–5.�� * Tefft, J. R., & Kirsch, N. J. (2013). A proximity-based Q-learning reward function for femtocell networks. In 2013 IEEE 78th vehicular technology conference (VTC Fall), 2013: IEEE, pp. 1–5.�#Innovation� * Saad, H., Mohamed, A., & ElBatt, T. (2012). Distributed cooperative Q-learning for power allocation in cognitive femtocell networks. In 2012 IEEE vehicular technology conference (VTC Fall), 2012: IEEE, pp. 1–5.�#Cooperation #Infrastructure� * Wen, B., Gao, Z., Huang, L., Tang, Y., & Cai, H. (2014). A Q-learning-based downlink resource scheduling method for capacity optimization in LTE femtocells. In 2014 9th international conference on computer science & education, 2014: IEEE, pp. 625–628.�#Resources #IT #Capacity� * Galindo-Serrano, A., & Giupponi, L. (2010). Distributed Q-learning for interference control in OFDMA-based femtocell networks. In 2010 IEEE 71st vehicular technology conference, 2010: IEEE, pp. 1–5.�#Technology� * Guo, D., Tang, L., Zhang, X., & Liang, Y.-C. (2020). Joint optimization of handover control and power allocation based on multi-agent deep reinforc

Julie Sweet and Safra Catz: Building spiritual and economic linkages between India, Israel, and the United States. #Values #Reasoning #Connection
Julie Sweet and Safra Catz: Building spiritual and economic linkages between India, Israel, and the United States. #Values #Reasoning #Connection

Julie Sweet and Safra Catz: Building spiritual and economic linkages between India, Israel, and the United States. #Values #Reasoning #Connection * 1.�Dean, J., Ghemawat, S.: Mapreduce: simplifified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008)�#Data� * 2.�Isard, M., Budiu, M., Yu, Y., Birrell, A., Fetterly, D.: Dryad: distributed data-parallel programs from sequential building blocks. ACM SIGOPS Oper. Syst. Rev. 41(3), 59–72 (2007) #Programming� * 3.�Saha, B., Shah, H., Seth, S., Vijayaraghavan, G., Murthy, A., Curino, C.: Apache tez: a unifying framework for modeling and building data processing applications. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 1357–1369. ACM (2015)�#CloudComputing #DataAnalytics #Oracle� * 4.�Zaharia, M., Chowdhury, M., Franklin, M.J., Shenker, S., Stoica, I.: Spark: cluster computing with working sets. In: Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing, vol. 10, p. 10 (2010)�#AbundantNumbers #Solutions #PayToSource #PayPal #WellsFargo #JPMorgan #Oracle #Tesla � * 5.�Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The hadoop distributed fifile system. In: 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), pp. 1–10. IEEE (2010)�#FunctionalProgramming � * 6.�Qian, Z., et al.: Timestream: reliable stream computation in the cloud. In: Proceedings of the 8th ACM European Conference on Computer Systems, pp. 1–14. ACM (2013)�#USA #Economy #Growth #Development � * 7.�Akidau, T., et al.: Millwheel: fault tolerant stream processing at internet scale. Proc. VLDB Endowment 6(11), 1033–1044 (2013)�#EuropeanCommission #USA #Canada #Alliances #Relationships � * 8.�Apache storm. https://storm.apache.org/. Accessed 20 Apr 2016�� * 9.�Neumeyer, B., Robbins, A.N., Kesari, A.: S4: distributed stream computing platform. In: 2010 IEEE International Conference on Data Mining Wor

Jason Williamson and Safra Catz: Creating a Shared Sense of Time. Forging Economic and Spiritual Linkages for a Thriving Ecosystem and Team Success
Jason Williamson and Safra Catz: Creating a Shared Sense of Time. Forging Economic and Spiritual Linkages for a Thriving Ecosystem and Team Success

Jason Williamson and Safra Catz: Creating a Shared Sense of Time. Forging Economic and Spiritual Linkages for a Thriving Ecosystem and Team Success #Oracle #Spiritual #Economic #Linkages #DeepLearning * 1.�Dean, J., Ghemawat, S.: Mapreduce: simplifified data processing on large clusters. Commun. ACM 51(1), 107–113 (2008)�� * 2.�Isard, M., Budiu, M., Yu, Y., Birrell, A., Fetterly, D.: Dryad: distributed data-parallel programs from sequential building blocks. ACM SIGOPS Oper. Syst. Rev. 41(3), 59–72 (2007)� * 3.�Saha, B., Shah, H., Seth, S., Vijayaraghavan, G., Murthy, A., Curino, C.: Apache tez: a unifying framework for modeling and building data processing applications. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Data, pp. 1357–1369. ACM (2015)�� * 4.�Zaharia, M., Chowdhury, M., Franklin, M.J., Shenker, S., Stoica, I.: Spark: cluster computing with working sets. In: Proceedings of the 2nd USENIX Conference on Hot Topics in Cloud Computing, vol. 10, p. 10 (2010)�� * 5.�Shvachko, K., Kuang, H., Radia, S., Chansler, R.: The hadoop distributed fifile system. In: 2010 IEEE 26th Symposium on Mass Storage Systems and Technologies (MSST), pp. 1–10. IEEE (2010)�� * 6.�Qian, Z., et al.: Timestream: reliable stream computation in the cloud. In: Proceedings of the 8th ACM European Conference on Computer Systems, pp. 1–14. ACM (2013)�� * 7.�Akidau, T., et al.: Millwheel: fault tolerant stream processing at internet scale. Proc. VLDB Endowment 6(11), 1033–1044 (2013)�� * 8.�Apache storm. https://storm.apache.org/. Accessed 20 Apr 2016�� * 9.�Neumeyer, B., Robbins, A.N., Kesari, A.: S4: distributed stream computing platform. In: 2010 IEEE International Conference on Data Mining Workshops (ICDMW), pp. 170–177. IEEE (2010)�� * 10.�Kulkarni, S., et al.: Twitter heron: stream processing at scale. In: Proceedings of the 2015 ACM SIGMOD International Conference on Management of Da

Ray Dalio: Extending Smart City as a Service, Smart Community as a Service, for Learning and Evolution in Kentucky.
Ray Dalio: Extending Smart City as a Service, Smart Community as a Service, for Learning and Evolution in Kentucky.

Ray Dalio: Extending Smart City as a Service, Smart Community as a Service, for Learning and Evolution in Kentucky. Audet Ch, Dennis JE (2003) Analysis of generalized pattern searches. SIAM J Optim 13(3):889–903 Konečný, J., McMahan, H.B., Ramage, D., et al.: Federated optimization: distributed machine learning for on-device intelligence. arXiv preprint arXiv:1610.02527 (2016) Zheng, L., Peng, J., Kan, H., Li, Y.: Several new infinite families of bent functions via second order derivatives. Cryptogr. Commun. 12(6), 1143–1160 (2020). https://doi.org/10.1007/s12095-020-00436-0 Canetti, R., Hohenberger, S.: Chosen-ciphertext secure proxy re-encryption. In: 14th ACM Conference on Computer and Communications Security, pp. 185–194. ACM (2007) #Kentucky #SmartCommunities #SmartCityAsAService #USA #Economy #UnifiedProcess �#RayDalio� #Principles

Jordan Etem: Connecting Seattle and Sydney, Smart City as a Service, Soul Sight and Imagination.
Jordan Etem: Connecting Seattle and Sydney, Smart City as a Service, Soul Sight and Imagination.

Connecting People: Taylor Swift, Wayne Gretzky, Adena Friedman � With Community: Seattle, Washington Sydney, Australia With Market: Nasdaq, Connected Infrastructure, Multi-Cloud Computing. #Seattle #Sydney #UnitedStates #Australia #Motivation #Achievement #DeepLearning #ConnectedEconomy #GlobalPartners #SoulSight Mesnager, S.: Several new infinite families of bent functions and their duals. IEEE Trans. Inf. Theory 60(7), 4397–4407 (2014). https://doi.org/10.1109/TIT.2014.2320974 Olsen, J., Scholtz, R.A., Welch, L.: Bent-function sequences. IEEE Trans. Inf. Theory 28(6), 858–864 (1982). https://doi.org/10.1109/TIT.1982.1056589 Bargh, J. A. (1990). Auto-motives: Preconscious determinants of social interaction. In E. T. Higgins & R. M. Sorrentino (Eds.), Handbook of motivation and cognition: Foundations of social behavior (Vol. 2). New York: Guilford Press. #Honor

Michael Dell and Elon Musk: Connecting and Uniting Israel and Dubai with Motivation and Achievement.
Michael Dell and Elon Musk: Connecting and Uniting Israel and Dubai with Motivation and Achievement.

Michael Dell and Elon Musk: Connecting and Uniting Israel and Dubai with Motivation and Achievement. “Do you see the consequences of the way we have chosen to think about success? Because we so profoundly personalize success, we miss opportunities to lift others onto the top rung...We are too much in awe of those who succeed and far too dismissive of those who fail. And most of all, we become much too passive. We overlook just how large a role we all play—and by “we” I mean society—in determining who makes it and who doesn’t.” “The values of the world we inhabit and the people we surround ourselves with have a profound effect on who we are.” “Those three things - autonomy, complexity and a connection between effort and reward - are, most people agree, the three qualities that work has to have if it is to be satisfying. It is not how much money we make that ultimately makes us happy between nine and five. It's whether our work fulfills us.” ― Malcolm Gladwell, Outliers: The Story of Success Borsboom, D., Mellenbergh, G. J., & van Heerden, J. (2004). The concept of validity. Psychological Review, 111, 1061–1071. DeMarree, K. G., Briňol, P., & Petty, R. E. (2014). The effects of power on prosocial outcomes: A self-validation analysis. Journal of Economic Psychology, 41, 20–30. Eccles, J. S., & Wigfield, A. (2002). Motivational beliefs, values, and goals. Annual Review of Psychology, 53, 109–132. Hofstede, G. (2001). Culture’s consequences: Comparing values, behaviors, institutions, and organizations across nations. Thousand Oaks, CA: Sage. #Dell #Tesla #Israel #Dubai #UAE #Motivation #Achievement #DeepLearning #ConnectedEconomy #GlobalPartners #USA

JK Rowling: Imagination is an INCREDIBLE SOURCE, Light. #Transformational
JK Rowling: Imagination is an INCREDIBLE SOURCE, Light. #Transformational

JK Rowling: Imagination is an INCREDIBLE SOURCE, Light. #Transformational �#Meta #Microsoft #Insight #People #Community

United States, Canada, Mexico: Harmonious Intelligent Systems, Motivating Learning Network.
United States, Canada, Mexico: Harmonious Intelligent Systems, Motivating Learning Network.

United States, Canada, Mexico: Harmonious Intelligent Systems, Motivating Learning Network. Redana, S., Bulakci, Ö., Zafeiropoulos, A., et al. (2019). 5GPPP architecture working group: View on 5G architecture. European Commission. Chih-Lin, I., Li, H., Korhonen, J., et al. (2017). RAN revolution with NGFI (xHaul) for 5G. Journal of Lightwave Technology, 36(2), 541–550. Alimi, I. A., Teixeira, A. L., & Monteiro, P. P. (2017). Toward an efficient C-RAN optical fronthaul for the future networks: A tutorial on technologies, requirements, challenges, and solutions. IEEE Communications Surveys & Tutorials, 20(1), 708–769. Monti, P., Li, Y., Mårtensson, J., et al. (2017). A flexible 5G RAN architecture with dynamic baseband split distribution and configurable optical transport. In 2017 19th International Conference on Transparent Optical Networks (ICTON) (pp. 1–1). Arslan, M. Y., Sundaresan, K., & Rangarajan, S. (2015). Software-defined networking in cellular radio access networks: Potential and challenges. IEEE Communications Magazine, 53(1), 150–156. Marotta, A., Cassioli, D., Kondepu, K., et al. (2019). Exploiting flexible functional split in converged software defined access networks. Journal of Optical Communications and Networking, 11(11), 536–546. Matoussi, S., Fajjari, I., Aitsaadi, N., et al. (2019). Joint functional split and resource allocation in 5G Cloud-RAN. In 2019 IEEE International Conference on Communications (ICC) (pp. 1–7). Fu, L. (1994), Neural Networks in Computer Intelligence, McGraw-Hill, New York. Gately, E. (1996), Neural Networks for Financial Forecasting, Wiley, New York. Chen, T., Guestrin, C.: XGBoost: a scalable tree boosting system. In: Proceedings of 22nd International Conference on Knowledge Discovery and Data Mining (KDD), pp. 785–794 (2016) Walczak, S. (1998), “Neural Network Models for A Resource Allocation Problem”, Transactions on Systems, Man and Cybernetics 28 B(2), 276–284. Walczak, S.

Team Basics: Connecting communities with technology. For evolutionary progress. Improving Cloud Infrastructure, Improving Learning Networks, Regionally, Nationally, Globally.
Team Basics: Connecting communities with technology. For evolutionary progress. Improving Cloud Infrastructure, Improving Learning Networks, Regionally, Nationally, Globally.

Team Basics: Connecting communities with technology. For evolutionary progress. Improving Cloud Infrastructure, Improving Learning Networks, Regionally, Nationally, Globally. #EmbeddedSystems #DistributedComputing #USA J.A. Landay, B.A. Myers, Sketching interfaces: toward more human interface design. Computer 34(3), 56–64 (2001). issn: 0018-9162. https://doi.org/10.1109/2.910894 Li, Z. H.; Nie, F. P.; Chang, X. J.; Yang, Y.; Zhang, C. Q.; Sebe, N. Dynamic affinity graph construction for spectral clustering using multiple features. IEEE Transactions on Neural Networks and Learning Systems Vol. 29, No. 12, 6323–6332, 2018. Daly R, Shen Q. Methods to accelerate the learning of Bayesian network structures. In: Proceedings of the 2007 UK Workshop on Computational Intelligence; 2007. Verma T, Pearl J. Equivalence and synthesis of causal models. Los Angeles, CA: Computer Science Department, UCLA; 1991. Pangle, L. S. (2002). Aristotle and the philosophy of friendship. West Nyack: Cambridge University Press. Schopenhauer, A. (1958). The world as will and representation (Vol. I) (trans: E. F. J. Payne). New York: Dover Publications. (Original Work published 1818). Badhwar, N. K. (1987). Friends as ends in themselves. Philosophy and Phenomenological Research, 48(1), 1–23. Aflalo, Y.; Dubrovina, A.; Kimmel, R. Spectral generalized multi-dimensional scaling. International Journal of Computer Vision Vol. 118, No. 3, 380–392, 2016. Delves LM, Mohamed JL (1985) Computational Methods for Integral Equations. Cambridge University Press, Cambridge, UK Zubair, S., Wang, W.: Tensor dictionary learning with sparse tucker decomposition. In: 2013 18th International Conference on Digital Signal Processing (DSP), pp. 1–6. IEEE, Piscataway (2013) H. Asghari-Moghaddam, Y.H. Son, J.H. Ahn, N.S. Kim, Chameleon: versatile and practical near-DRAM acceleration architecture for large memory systems, in MICRO (2016) K.K. Chang, P.J. Nair, D. Lee, S. Ghose, M.K. Qureshi,

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