{"title":"Health Insurance","authors":"L. Mobley, H. Frech","doi":"10.4324/9781315290737-12","DOIUrl":"https://doi.org/10.4324/9781315290737-12","url":null,"abstract":"Health Insurance If you are an F-1 or J-1 international student or a J-1 scholar whose Form I-20 or DS-2019 was issued by the University of Michigan (Ann Arbor), you are required to have health insurance coverage for yourself and any F-2 or J-2 dependents while at the University of Michigan. Health insurance coverage is coordinated through the U-M International Center. For contact information and office hours, see U-M International Center Health Insurance Office Hours [1]. This section provides the following information on the U-M health insurance requirement and the U-M International Student/Scholar Health Insurance (IHI) Plan: Useful Links & Frequently Asked Questions [2] ● U-M Health Insurance Requirement and Enrollment Process [3] ● U-M International Student/Scholar Health Insurance (IHI) Plan Coverage and Rates [4] ● Alternatives to the U-M International Student/Scholar Health Insurance (IHI) [5] ● U-M Health Insurance Standards and Insurance Waiver [6] ● Using the U-M International Student/Scholar Health Insurance (IHI) [7] ● U-M International Student/Scholar Health Insurance (IHI) ID Card [8] ❍ Doctor Visits and Hospital Stays [9] ❍ What's Covered and What's Not [10] ❍ What To Do If You Get A Bill From The Hospital or Doctor [11] ❍ Travel Outside the U.S. [12] ❍ Prescription Drugs [13] ❍ Important Phone Numbers [14] ❍ If You Are Not Eligible for U-M International Student/Scholar Health Insurance (IHI) [15] ● Health Insurance Information for Canadian Students and Scholars [16] ● Health Insurance Forms [17] ● Dental Care [18] ●","PeriodicalId":91926,"journal":{"name":"Mathematics-in-industry case studies","volume":"42 1","pages":""},"PeriodicalIF":0.0,"publicationDate":"2019-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"84230340","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Geometric effects in the design of catalytic converters in car exhaust pipes","authors":"M. Laurenzi, R. Spigler","doi":"10.1186/S40929-018-0018-2","DOIUrl":"https://doi.org/10.1186/S40929-018-0018-2","url":null,"abstract":"","PeriodicalId":91926,"journal":{"name":"Mathematics-in-industry case studies","volume":"9 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2018-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/S40929-018-0018-2","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41706242","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Use of mathematical modeling to study pressure regimes in normal and Fontan blood flow circulations","authors":"M. Chugunova, M. Doyle, J. Keener, R. Taranets","doi":"10.1186/s40929-019-0019-9","DOIUrl":"https://doi.org/10.1186/s40929-019-0019-9","url":null,"abstract":"","PeriodicalId":91926,"journal":{"name":"Mathematics-in-industry case studies","volume":"10 1","pages":"1-28"},"PeriodicalIF":0.0,"publicationDate":"2018-06-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s40929-019-0019-9","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"48813126","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Predicting key features of a substation without monitoring","authors":"T. E. Lee","doi":"10.1186/S40929-017-0013-Z","DOIUrl":"https://doi.org/10.1186/S40929-017-0013-Z","url":null,"abstract":"","PeriodicalId":91926,"journal":{"name":"Mathematics-in-industry case studies","volume":"8 1","pages":"1-9"},"PeriodicalIF":0.0,"publicationDate":"2017-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/S40929-017-0013-Z","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"43723983","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nadji Hadroug, A. Hafaifa, M. Guemana, A. Kouzou, A. Salam, A. Chaibet
{"title":"Heavy duty gas turbine monitoring based on adaptive neuro-fuzzy inference system: speed and exhaust temperature control","authors":"Nadji Hadroug, A. Hafaifa, M. Guemana, A. Kouzou, A. Salam, A. Chaibet","doi":"10.1186/S40929-017-0017-8","DOIUrl":"https://doi.org/10.1186/S40929-017-0017-8","url":null,"abstract":"","PeriodicalId":91926,"journal":{"name":"Mathematics-in-industry case studies","volume":"8 1","pages":"1-20"},"PeriodicalIF":0.0,"publicationDate":"2017-10-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/S40929-017-0017-8","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"41365821","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"A framework of fuzzy integrated MADM and GMA for maintenance strategy selection based on agile enabler attributes","authors":"P. Srivastava, D. Khanduja, V. Agrawal","doi":"10.1186/S40929-017-0014-Y","DOIUrl":"https://doi.org/10.1186/S40929-017-0014-Y","url":null,"abstract":"","PeriodicalId":91926,"journal":{"name":"Mathematics-in-industry case studies","volume":"8 1","pages":"1-23"},"PeriodicalIF":0.0,"publicationDate":"2017-10-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/S40929-017-0014-Y","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"49502916","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stephen Y Chen, Odile Marcotte, Mario Leonardo Morfin Ramírez, Mary Pugh
{"title":"Modelling and optimizing a system for testing electronic circuit boards.","authors":"Stephen Y Chen, Odile Marcotte, Mario Leonardo Morfin Ramírez, Mary Pugh","doi":"10.1186/s40929-017-0012-0","DOIUrl":"https://doi.org/10.1186/s40929-017-0012-0","url":null,"abstract":"<p><p>In this article we consider a difficult combinatorial optimization problem arising from the operation of a system for testing electronic circuit boards (ECB). This problem was proposed to us by a company that makes a system for testing ECBs and is looking for an efficient way of planning the tests on any given ECB. Because of its difficulty, we first split the problem into a covering subproblem and a sequencing subproblem. We also give a global formulation of the test planning problem. Then we present and discuss results pertaining to the covering and sequencing subproblems. These results demonstrate that their solution yields testing plans that are much better than those currently used by the company. Finally we conclude our article by outlining avenues for future research.</p>","PeriodicalId":91926,"journal":{"name":"Mathematics-in-industry case studies","volume":"8 1","pages":"4"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s40929-017-0012-0","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37603269","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Credit contingent interest rate swap pricing.","authors":"Haohan Huang, Huaxiong Huang, Eugene Wang, Hongmei Zhu","doi":"10.1186/s40929-017-0015-x","DOIUrl":"https://doi.org/10.1186/s40929-017-0015-x","url":null,"abstract":"<p><p>Credit value adjustment (CVA) is an adjustment to an existing trading price based on the counterparty-risk premium. Currently, CVA is computed with an implicit assumption that the replacement contract is default-free after the original counterparty defaults, with the assumption that those trades will not re-assigned. In the actual counterparty default settlement, it is the norm that trades will be re-assigned, especially on the buy side. Since the counterparty of the replacement contract could also default within the lifetime of an existing contract, ignoring the possibility of counterparty defaults of replacement contracts will either under or over estimate the cost of the risk. An important practical question is, therefore, how to estimate under/over pricing of CVA under current practice. In this paper, we considered the pricing of credit contingent interest rate swap (CCIRS) or credit contingent default swap (CCDS), which is considered the CVA hedge for interest rate swaps (IRS). We derived partial differential Eqs. (PDEs) satisfied by the approximated CVA with the assumption that the replacement contracts do not default. For comparison purposes, we also derived the PDEs for the cost of CVA by relaxing the assumption of default-free replacement contracts with a finite number of counterparty defaults. It shows that the no-default and two default cases can be derived within the same analytical solution framework, similar to the Funding Valuation Adjustment (FVA) problem where continuous funding is a reasonable assumption. The finite number of default case is non-trivial. The PDE for the two default case is derived in this paper. We calibrate our model based on market data and carry out extensive computations for the purpose of comparing these three CVAs. Our basic finding is that the values of the two CVAs are close for top rated counterparties. On the other hand, for counterparties with lower credit ratings, the difference among the two CVAs can be significant.</p>","PeriodicalId":91926,"journal":{"name":"Mathematics-in-industry case studies","volume":"8 1","pages":"6"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s40929-017-0015-x","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"37603270","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Avril Hegarty, Gerry Stanley, Eugene Kashdan, Jim Hodgson, Andrew C Parnell
{"title":"Repeatability analysis of airborne electromagnetic surveys.","authors":"Avril Hegarty, Gerry Stanley, Eugene Kashdan, Jim Hodgson, Andrew C Parnell","doi":"10.1186/s40929-016-0008-1","DOIUrl":"https://doi.org/10.1186/s40929-016-0008-1","url":null,"abstract":"<p><strong>Purpose: </strong>We provide methods for determining the repeatability of airborne electromagnetic surveys when conducted at different altitudes over a number of repeated flights. Our data arise from the TELLUS project carried out by the Geological Surveys of Ireland and Northern Ireland and we examine the repeatability of the apparent resistivity at different frequencies.</p><p><strong>Methods: </strong>After considering a number of issues with the data, we propose two different models from the functional data analysis literature; a Weiner process with random effects, and a penalised spline smoother.</p><p><strong>Results: </strong>Both methods arrive at the same conclusion regarding repeatability of the data; results obtained are more repeatable for flights at lower altitudes.</p><p><strong>Conclusions: </strong>The target altitude for aircraft carrying out airborne electromagnetic surveys should be as low as possible.</p>","PeriodicalId":91926,"journal":{"name":"Mathematics-in-industry case studies","volume":"7 1","pages":"6"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s40929-016-0008-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35252934","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T G Myers, Vicent Ribas Ripoll, Anna Sáez de Tejada Cuenca, Sarah L Mitchell, Mark J McGuinness
{"title":"Modelling the cardiovascular system for assessing the blood pressure curve.","authors":"T G Myers, Vicent Ribas Ripoll, Anna Sáez de Tejada Cuenca, Sarah L Mitchell, Mark J McGuinness","doi":"10.1186/s40929-017-0011-1","DOIUrl":"https://doi.org/10.1186/s40929-017-0011-1","url":null,"abstract":"<p><p>A four compartment model of the cardiovascular system is developed. To allow for easy interpretation and to minimise the number of parameters, an effort was made to keep the model as simple as possible. Using a standard method (Matlab function <i>fminsearch</i>) to calculate the parameter values led to unacceptable run times or non-convergence. Consequently we developed an algorithm which first finds the most important model parameters and uses these as a basis for a four stage process which accurately determines all parameter values. This process is then applied to data from three ICU patients. Good agreement between the model and measured arterial pressure is demonstrated in all cases.</p>","PeriodicalId":91926,"journal":{"name":"Mathematics-in-industry case studies","volume":"8 1","pages":"2"},"PeriodicalIF":0.0,"publicationDate":"2017-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1186/s40929-017-0011-1","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"35144988","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}