Academic literature on the topic 'Global microbiologal risk model'
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Journal articles on the topic "Global microbiologal risk model"
Oludoun, Olajumoke, Olukayode Adebimpe, James Ndako, Oluwakemi E. Abiodun, Babatunde Gbadamosi, and Benedicta B. Aladeitan. "Global stability analysis of hepatitis B virus dynamics." F1000Research 10 (May 28, 2021): 429. http://dx.doi.org/10.12688/f1000research.52785.1.
Full textOludoun, Olajumoke, Olukayode Adebimpe, James Ndako, Oluwakemi E. Abiodun, Babatunde Gbadamosi, and Benedicta B. Aladeitan. "Global stability analysis of hepatitis B virus dynamics." F1000Research 10 (January 21, 2022): 429. http://dx.doi.org/10.12688/f1000research.52785.2.
Full textZhang, Chao, Yanzhao Yang, Zhiming Feng, Chiwei Xiao, Tingting Lang, Wenpeng Du, and Ying Liu. "Risk of Global External Cereals Supply under the Background of the COVID-19 Pandemic: Based on the Perspective of Trade Network." Foods 10, no. 6 (May 23, 2021): 1168. http://dx.doi.org/10.3390/foods10061168.
Full textZhang, Chao, Yanzhao Yang, Zhiming Feng, Chiwei Xiao, Ying Liu, Xinzhe Song, and Tingting Lang. "Cold Chain Food and COVID-19 Transmission Risk: From the Perspective of Consumption and Trade." Foods 11, no. 7 (March 22, 2022): 908. http://dx.doi.org/10.3390/foods11070908.
Full textDakhil, Mohammed A., Ali El-Keblawy, Mohamed A. El-Sheikh, Marwa Waseem A. Halmy, Taoufik Ksiksi, and Walaa A. Hassan. "Global Invasion Risk Assessment of Prosopis juliflora at Biome Level: Does Soil Matter?" Biology 10, no. 3 (March 9, 2021): 203. http://dx.doi.org/10.3390/biology10030203.
Full textPiyatilake, I. T. S., and S. S. N. Perera. "Fuzzy Multidimensional Model to Cluster Dengue Risk in Sri Lanka." BioMed Research International 2020 (November 4, 2020): 1–16. http://dx.doi.org/10.1155/2020/2420948.
Full textOyelade, Tope, Jaber S. Alqahtani, Ahmed M. Hjazi, Amy Li, Ami Kamila, and Reynie Purnama Raya. "Global and Regional Prevalence and Outcomes of COVID-19 in People Living with HIV: A Systematic Review and Meta-Analysis." Tropical Medicine and Infectious Disease 7, no. 2 (February 3, 2022): 22. http://dx.doi.org/10.3390/tropicalmed7020022.
Full textWang, Feiyu, Chesheng Zhan, and Lei Zou. "Risk of Crop Yield Reduction in China under 1.5 °C and 2 °C Global Warming from CMIP6 Models." Foods 12, no. 2 (January 15, 2023): 413. http://dx.doi.org/10.3390/foods12020413.
Full textTanaka, Tetsuji, Özge Geyik, and Bariş Karapinar. "Short-Term Implications of Climate Shocks on Wheat-Based Nutrient Flows: A Global “Nutrition at Risk” Analysis through a Stochastic CGE Model." Foods 10, no. 6 (June 18, 2021): 1414. http://dx.doi.org/10.3390/foods10061414.
Full textLi, Linlin, Zhiyi Fang, Hongning Zhou, Yerong Tang, Xin Wang, Geng Liang, and Fengjun Zhang. "Dengue Risk Forecast with Mosquito Vector: A Multicomponent Fusion Approach Based on Spatiotemporal Analysis." Computational and Mathematical Methods in Medicine 2022 (June 2, 2022): 1–12. http://dx.doi.org/10.1155/2022/2515432.
Full textDissertations / Theses on the topic "Global microbiologal risk model"
Rost, Nicolas. "A Global Risk Assessment Model for Civil Wars." [S.l. : s.n.], 2006. http://nbn-resolving.de/urn:nbn:de:bsz:352-opus-23361.
Full textFeller, Brian (Brian C. ). "Development of a total landed cost and risk analysis model for global strategic sourcing." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/43828.
Full textIncludes bibliographical references (p. 122-123).
Total landed cost and supply chain risk analysis are methods that many companies use to assess strategic sourcing decisions. For this project, landed cost is defined as those costs associated with material movement from a supplier to a designated PerkinElmer, Inc. (PKI) manufacturing site. Tools or models that are available in the technology marketplace are often too cumbersome to incorporate with a company's existing technology architecture or are too simplistic to compute an accurate landed cost. For PerkinElmer, as their Analytical Sciences business continues to grow globally, they are continuously reviewing their supplier portfolio and assessing their procurement strategy. The landed cost and risk analysis tool consists of two components, a cost model and a risk analysis model. Both models were developed to allow PKI to better understand the savings opportunities associated with a supplier selection. When performing supply chain modeling and cost optimization, it was necessary to be able to evaluate multiple scenarios that can influence a sourcing decision. Therefore, by changing parameters such as transportation mode, lead time, inventory carrying cost, freight cost, order frequency, and order quantities in the dynamic cost model, PKI is able to understand supply chain cost trade-offs. The model developed for this project is dynamic to allow multi-variable scenarios to be assessed simultaneously, thus increasing the overall analysis efficiency. For the risk analysis model, approximately 20 different factors were considered as a part of a risk portfolio. This concept adapts traditional financial investment portfolio management theory by considering how much operational impact one factor may have on PKI.
(cont.) The concept is to consider a diversified portfolio, so all of the possible risk incurred by a sourcing decision does not reside in any one "category" (logistics, inventory, etc.). The outcome of the model is an index and adjusted cost, providing PKI with an estimate of the potential cost of doing business with a supplier based on their risk profile.
by Brian Feller.
S.M.
M.B.A.
Holst, David, and Anton Norberg. "Studie av Global Risk Appetite Index : Hur kan det användas för att förbättra trendföljande strategier?" Thesis, Uppsala universitet, Institutionen för teknikvetenskaper, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-300800.
Full textA regular problem for investment managers who use trend following strategies are that they often find themselves badly positioned when at the end of a trend. In this study it is shown how a risk appetite index, Global Risk Appetite Index (GRAI), can be used in order to predict these trend breaks and thereby improve the performance of trend following strategies. The index is implemented as an indicator for three different trend following strategies and given the right parameters, the return of all three strategies is increased during backtesting on data from the previous 16 years. In general, the strategies give the highest return in relation to risk when signal that the trend will reverse is given 2 to 3 weeks after the index reaches one of the extreme zones, Panic or Euphoria. These extreme zones are calculated as vales under the 5:th or over the 95:th percentile of the index’s value over a certain window back in time. The best result is achieved when this timespan is 2 to 3 years. Furthermore, alternate ways to calculate Global Risk Appetite Index are studied. The assets that are analysed in order to quantify the risk appetite are varied and it is shown that a version of GRAI analyzing only 6 more summarizing market indices give better results when used in trend following models. This is a clear simplification from the 64 assets used in the original version of the index.
Alshammari, Sultanah. "A Data-Driven Computational Framework to Assess the Risk of Epidemics at Global Mass Gatherings." Thesis, University of North Texas, 2019. https://digital.library.unt.edu/ark:/67531/metadc1505145/.
Full textBallout, Rami, and Fredrik Nygård. "Can intangibles lead to superior returns? : Global evidence on the relationship between employee satisfaction and abnormal equity returns." Thesis, Umeå universitet, Företagsekonomi, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-73263.
Full textJančíková, Kateřina. "Ekonomická analýza vybraného podniku." Master's thesis, Vysoké učení technické v Brně. Ústav soudního inženýrství, 2016. http://www.nusl.cz/ntk/nusl-241285.
Full textSeedat, Ássia Mahomed. "A internacionalização das Born Globals : o caso de duas empresas portuguesas." Master's thesis, Instituto Superior de Economia e Gestão, 2013. http://hdl.handle.net/10400.5/11236.
Full textO presente trabalho visa compreender o processo de internacionalização das designadas born globals. Estas caraterizam-se pela internacionalização precoce, abordando o mercado externo numa perspetiva diferente do modelo de Uppsala. O estudo suporta-se numa metodologia de natureza qualitativa, em dois estudos de caso de born globals portuguesas do setor das tecnologias de informação. A evidência empírica realçou a importância do empreendedor e das redes de relacionamento no processo de internacionalização e crescimento dessas empresas. Apesar disso, os resultados indicam que não existe uma rutura completa com o modelo de Uppsala. Nas suas decisões de internacionalização, as empresas tendem a associar os critérios de proximidade física e psíquica com os critérios do perfil do empreendedor e das redes de relacionamento.
The goal of this research is to understand the internalization process of the born globals. They are characterized by premature internalization approaching the external market with a different perspective than that of Uppsala Model. The study is supported by a qualitative method, with case studies of two portuguese born globals in the information technology sector. The empirical evidence highlighted the importance of the entrepreneur and the networking in the internalization process and development of these companies. Despite this, the results indicate that there is not a complete break with the Uppsala Model. In the internalization decision the companies should associate the physic and psychic proximity with the criteria of the entrepreneur and networking.
Henrik, Hasseltoft. "Essays on the term structure of interest rates and long-run risks." Doctoral thesis, Handelshögskolan i Stockholm, Finansiell Ekonomi (FI), 2009. http://urn.kb.se/resolve?urn=urn:nbn:se:hhs:diva-925.
Full textEverling, Nils. "Extending the explanatory power of factor pricing models using topic modeling." Thesis, KTH, Skolan för datavetenskap och kommunikation (CSC), 2017. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-210253.
Full textFaktormodeller förklarar aktieprisrörelser med en linjär kombination av faktorer. En modell med hög förklaringsgrad (R2) kan användas föratt skatta en investerings systematiska risk. En av de viktigaste faktorerna är aktiebolagets industritillhörighet. I kommersiella risksystem bestäms industri oftast med ett aktieklassifikationsschema som GICS, publicerat av ett finansiellt institut. Vi presenterar Natural Language Industry Scheme (NLIS), ett automatiskt klassifikationsschema baserat på topic modeling. Vi utför topic modeling på transkript av aktiebolags investerarsamtal. Detta identifierar ämnen, eller topics, som är jämförbara med industrier. Topic modeling sker genom icke-negativmatrisfaktorisering (NMF) på en ord-dokumentmatris av transkripten. När NLIS används för att förklara prisrörelser hos MSCI USA-indexet finner vi att NLIS överträffar GICS, ofta med 2-3 procent. Detta tillskriver vi NLIS förmåga att ge flera industritillhörigheter åt samma aktie. Vi föreslår också att proportionerna hos industritillhörigheterna för en aktie kan motsvara förväntade inkomstkällor snarare än nuvarande inkomstkällor. Denna egenskap kan också vara en anledning till NLIS framgång då den nära relaterar till teoretisk aktieprissättning.
Starý, Jan. "Specifika finančního řízení stavebního podniku v období ekonomické nestability." Master's thesis, Vysoké učení technické v Brně. Fakulta stavební, 2013. http://www.nusl.cz/ntk/nusl-226028.
Full textBooks on the topic "Global microbiologal risk model"
Ferson, Wayne E. Sources of risk and expected returns in global equity markets. Cambridge, Mass: National Bureau of Economic Research, 1994.
Find full textFerson, Wayne E. Economic, financial, and fundamental global risk in and out of the EMU. Cambridge, MA: National Bureau of Economic Research, 1999.
Find full textFinancial Origami: How the Wall Street Model Broke. Hoboken, New Jersey: Bloomberg Press, an imprint of Wiley, 2011.
Find full textChoudhry, Moorad. The future of finance: A new model for banking and investment. Hoboken, N.J: Wiley, 2010.
Find full textGino, Landuyt, ed. The future of finance: A new model for banking and investment. Hoboken, N.J: Wiley, 2011.
Find full textStelios, Marcoulis, ed. Risk and return in transportation and other US and global industries. Boston: Kluwer Academic Publishers, 2001.
Find full textMoynihan, Brendan. Financial Origami: How the Wall Street Model Broke. Wiley & Sons, Incorporated, John, 2011.
Find full textMoynihan, Brendan. Financial Origami: How the Wall Street Model Broke. Wiley & Sons, Incorporated, John, 2011.
Find full textMoynihan, Brendan. Financial Origami: How the Wall Street Model Broke. Wiley & Sons, Incorporated, John, 2011.
Find full textDe Forges, Sabine Lemoyne, Ruben Bibas, and Stéphane Hallegatte. A Dynamic Model of Extreme Risk Coverage: Resilience and Efficiency in the Global Reinsurance Market. The World Bank, 2011. http://dx.doi.org/10.1596/1813-9450-5807.
Full textBook chapters on the topic "Global microbiologal risk model"
Comfort, Louise K., and Mary Lee Rhodes. "A Learning Model for Managing Global Risk?" In Global Risk Management, 274–83. New York: Routledge, 2022. http://dx.doi.org/10.4324/9781003253280-14.
Full textSato, Kanji. "A Simplified Simulation Model for Country Risk Evaluation." In Global Interdependence, 337. Tokyo: Springer Japan, 1992. http://dx.doi.org/10.1007/978-4-431-68189-2_63.
Full textSmith, Rob. "Getting to Global - Building a global supply chain network model." In Global Supply Chain Performance and Risk Optimization, 89–124. Wiesbaden: Deutscher Universitätsverlag, 2002. http://dx.doi.org/10.1007/978-3-322-81407-4_3.
Full textDore, Mohammed H. "Computing a Model for Asset Management with Risk." In Global Drinking Water Management and Conservation, 175–96. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11032-5_8.
Full textFloreani, Josanco, and Maurizio Polato. "A Risk-Adjusted Model for Peformance Measurement." In The Economics of the Global Stock Exchange Industry, 164–97. London: Palgrave Macmillan UK, 2014. http://dx.doi.org/10.1057/9781137321831_6.
Full textCrowley, Helen, and Rui Pinho. "Global Earthquake Model: Community-Based Seismic Risk Assessment." In Protection of Built Environment Against Earthquakes, 3–19. Dordrecht: Springer Netherlands, 2011. http://dx.doi.org/10.1007/978-94-007-1448-9_1.
Full textStark, Oded. "A unified model of relative deprivation and risk-laden migration." In Global Labour in Distress, Volume I, 67–73. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-89258-6_4.
Full textErevelles, Sunil, Carolyn Galantine, Ayse Acikgoz, Ana Marinova, and Veronica Horton. "Managing Country Risk in Global Marketing: The Triadic Model." In Proceedings of the 2000 Academy of Marketing Science (AMS) Annual Conference, 412–16. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-11885-7_110.
Full textArumugam, Chamundeswari, Sriraghav Kameswaran, and Baskaran Kaliamourthy. "Risk Assessment Framework: ADRIM Process Model for Global Software Development." In Towards Extensible and Adaptable Methods in Computing, 3–12. Singapore: Springer Singapore, 2018. http://dx.doi.org/10.1007/978-981-13-2348-5_1.
Full textWillis, David Blake, Satoshi Yamamura, and Jeremy Rappleye. "Frontiers of Education: Japan As “Global Model” or “Nation At Risk”?" In Living Together, 207–29. Dordrecht: Springer Netherlands, 2008. http://dx.doi.org/10.1007/978-1-4020-9816-1_13.
Full textConference papers on the topic "Global microbiologal risk model"
Lee, Su-Dong, and Chi-Hyuck Jun. "Hypertension Risk Prediction Using Two-stage Logistic Model Tree." In Annual Global Healthcare Conference. Global Science & Technology Forum (GSTF), 2015. http://dx.doi.org/10.5176/2251-3833_ghc15.57.
Full textYang, Zhengguo, Yuto Lim, and Yasuo Tan. "A risk model for indoor environment safety." In 2017 IEEE 6th Global Conference on Consumer Electronics (GCCE). IEEE, 2017. http://dx.doi.org/10.1109/gcce.2017.8229306.
Full textManjari, K. Geetha, and G. L. Sivakumar Babu. "Global Sensitivity Analysis of Groundwater-Radionuclide Transport Model from Near Surface Disposal Facilities." In Geo-Risk 2017. Reston, VA: American Society of Civil Engineers, 2017. http://dx.doi.org/10.1061/9780784480724.049.
Full textZheng, Yuhua. "Risk Management: VaR Model for Information Disclosure." In 2012 International Conference on Business Computing and Global Informatization (BCGIN). IEEE, 2012. http://dx.doi.org/10.1109/bcgin.2012.54.
Full textDevoid, Wayne. "Multi-Resolution Global Population Model for Overflight Risk Analyses." In AIAA Atmospheric Flight Mechanics Conference and Exhibit. Reston, Virigina: American Institute of Aeronautics and Astronautics, 2006. http://dx.doi.org/10.2514/6.2006-6503.
Full textShimazu, Masahiko, Atsushi Kanai, Shigeki Tanimoto, and Hiroyuki Sato. "Dynamic risk evaluation model as a security field." In 2015 IEEE 4th Global Conference on Consumer Electronics (GCCE). IEEE, 2015. http://dx.doi.org/10.1109/gcce.2015.7398641.
Full textAlekina, E. V. "Conceptual Model Of Professional Risk Management." In GCPMED 2018 - International Scientific Conference "Global Challenges and Prospects of the Modern Economic Development. Cognitive-Crcs, 2019. http://dx.doi.org/10.15405/epsbs.2019.03.159.
Full textAbdukadir, Guzalnur, and Lijun Wu. "Discrete Time Risk Model with Discounted Rate." In 2014 International Conference on Global Economy, Finance and Humanities Research (GEFHR 2014). Paris, France: Atlantis Press, 2014. http://dx.doi.org/10.2991/gefhr-14.2014.21.
Full textApostolopoulos, Pavlos Athanasios, Eirini Eleni Tsiropoulou, and Symeon Papavassiliou. "Risk-Aware Social Cloud Computing Based on Serverless Computing Model." In GLOBECOM 2019 - 2019 IEEE Global Communications Conference. IEEE, 2019. http://dx.doi.org/10.1109/globecom38437.2019.9013182.
Full textBulava, I. V. "Integrated Risk Management Model Of The Company." In GCPMED 2018 - International Scientific Conference "Global Challenges and Prospects of the Modern Economic Development. Cognitive-Crcs, 2019. http://dx.doi.org/10.15405/epsbs.2019.03.14.
Full textReports on the topic "Global microbiologal risk model"
Gómez-Pineda, Javier Guillermo. Volatility spillovers and systemic risk across economies : evidence from a global semi-structural model. Bogotá, Colombia: Banco de la República, September 2017. http://dx.doi.org/10.32468/be.1011.
Full textHobbs, T. E., J. M. Journeay, A. S. Rao, L. Martins, P. LeSueur, M. Kolaj, M. Simionato, et al. Scientific basis of Canada's first public national seismic risk model. Natural Resources Canada/CMSS/Information Management, 2022. http://dx.doi.org/10.4095/330927.
Full textValencia, Oscar, Juan José Díaz, and Diego A. Parra. Assessing Macro-Fiscal Risk for Latin American and Caribbean Countries. Inter-American Development Bank, November 2022. http://dx.doi.org/10.18235/0004530.
Full textKim, Changmo, Ghazan Khan, Brent Nguyen, and Emily L. Hoang. Development of a Statistical Model to Predict Materials’ Unit Prices for Future Maintenance and Rehabilitation in Highway Life Cycle Cost Analysis. Mineta Transportation Institute, December 2020. http://dx.doi.org/10.31979/mti.2020.1806.
Full textGamboa-Estrada, Fredy, and Jose Vicente Romero. Modelling CDS Volatility at Different Tenures: An Application for Latin-American Countries. Banco de la República de Colombia, May 2022. http://dx.doi.org/10.32468/be.1199.
Full textJung, Paul H., Jean-Claude Thill, and Luis Armando Galvis-Aponte. State Failure, Violence, and Trade: Dangerous Trade Routes in Colombia. Banco de la República, December 2021. http://dx.doi.org/10.32468/dtseru.303.
Full textMathew, Sonu, Srinivas S. Pulugurtha, and Sarvani Duvvuri. Modeling and Predicting Geospatial Teen Crash Frequency. Mineta Transportation Institute, June 2022. http://dx.doi.org/10.31979/mti.2022.2119.
Full textVecherin, Sergey, Stephen Ketcham, Aaron Meyer, Kyle Dunn, Jacob Desmond, and Michael Parker. Short-range near-surface seismic ensemble predictions and uncertainty quantification for layered medium. Engineer Research and Development Center (U.S.), September 2022. http://dx.doi.org/10.21079/11681/45300.
Full textErkamo, Sanna, Karoliina Pilli-Sihvola, Atte Harjanne, and Heikki Tuomenvirta. Climate Security and Finland – A Review on Security Implications of Climate Change from the Finnish Perspective. Finnish Meteorological Institute, 2021. http://dx.doi.org/10.35614/isbn.9789523361362.
Full textDiop, Ahmed. Country Diagnostic Study – Senegal. Islamic Development Bank Institute, October 2021. http://dx.doi.org/10.55780/rp21003.
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