UV effects in “the real world”: problems of UV dosimetry in complex organisms

1997 ◽  
Vol 40 (1) ◽  
pp. 8-13 ◽  
Author(s):  
Betsy M. Sutherland
2004 ◽  
Vol 19 (3) ◽  
pp. 369-376 ◽  
Author(s):  
Veronique G. Frucot ◽  
Leland G. Jordan ◽  
Marc I. Lebow

Accounting for goodwill has long been a theoretical problem for accountants. Although most businesses possess some goodwill, accountants record it only when a premium is paid in the acquisition of another company. Subsequent to acquisition, valuing goodwill becomes a problem. Statement of Financial Accounting No. 142, Goodwill and Other Intangible Assets (FASB 2001), is the current standard for testing goodwill for impairment. This case is designed to introduce you to the “real-world” problems that many practitioners are likely to encounter while implementing this new standard. The case involves two antagonists: an auditor eager to record an impairment of goodwill and a client even more eager to avoid recording any impairment. You must tactfully address both individuals' arguments and determine the correct method for accounting for goodwill and the standard for testing for impairment per SFAS No. 142.


in education ◽  
2021 ◽  
Vol 26 (2) ◽  
pp. 24-50
Author(s):  
Annica Andersson ◽  
Kathleen Nolan

In March 2020, near the onset of the COVID-19 related lockdowns, quarantine, and isolation measures being taken worldwide, we noticed an increasing number of graphs, diagrams, images, and mathematical models relating to the pandemic posted on our Facebook walls. For the purposes of this paper, we selected a number of these Facebook posts to discuss and analyze, through the lens of questions based in critical mathematics education research. Our analyses draw attention to public discourse(s) around mathematics, as well as how numbers, graphs, diagrams, and images are used on Facebook. In our analyses, we first identify the mathematics topic/concept being depicted through the image and, second, how that Facebook post might serve as an artefact of critical mathematics education. In doing so, we challenge the usual separation of mathematics classrooms from the real world and highlight how, in this time of pandemic, life is less real than it is surreal; it is less real than it is virtual. Keywords: mathematical modelling; real-world problems; images, critical mathematics education; mathematics and social media; virtual reality; Facebook; mathematics in society; mathematics teaching; mathematics teacher education


1999 ◽  
Vol 92 (2) ◽  
pp. 118-123
Author(s):  
Thomas G. Edwards ◽  
Kenneth R. Chelst

Because operations researchers solve problems in the real world, operations-research-based problems have rich connections to the world in which students live and work. Drawing on such problem situations is one way in which teachers can let applications of mathematics drive instruction. We believe that doing so will better motivate students to learn the mathematics they encounter in the classroom.


Symmetry ◽  
2022 ◽  
Vol 14 (1) ◽  
pp. 116
Author(s):  
Junhua Ku ◽  
Fei Ming ◽  
Wenyin Gong

In the real-world, symmetry or asymmetry widely exists in various problems. Some of them can be formulated as constrained multi-objective optimization problems (CMOPs). During the past few years, handling CMOPs by evolutionary algorithms has become more popular. Lots of constrained multi-objective optimization evolutionary algorithms (CMOEAs) have been proposed. Whereas different CMOEAs may be more suitable for different CMOPs, it is difficult to choose the best one for a CMOP at hand. In this paper, we propose an ensemble framework of CMOEAs that aims to achieve better versatility on handling diverse CMOPs. In the proposed framework, the hypervolume indicator is used to evaluate the performance of CMOEAs, and a decreasing mechanism is devised to delete the poorly performed CMOEAs and to gradually determine the most suitable CMOEA. A new CMOEA, namely ECMOEA, is developed based on the framework and three state-of-the-art CMOEAs. Experimental results on five benchmarks with totally 52 instances demonstrate the effectiveness of our approach. In addition, the superiority of ECMOEA is verified through comparisons to seven state-of-the-art CMOEAs. Moreover, the effectiveness of ECMOEA on the real-world problems is also evaluated for eight instances.


2018 ◽  
pp. 173-184
Author(s):  
Trent Dougherty

Extending the model of Alvin Plantinga’s “Advice to Christian Philosophers,” in this chapter, Trent Dougherty offers his own “advice” to those working in the emerging field of analytic theology. Through a series of specific suggestions regarding the best practices of analytic theology, Dougherty describes some of the Christian’s community-specific projects that stand in need of attention, and then issues a call to Christians—of all stations of academic rank—to attend to these problems. Partly an exercise in “practical theology” itself, this chapter seeks to be sensitive to the real-world problems connected to how students of analytic theology find themselves situated.


2012 ◽  
Vol 178-181 ◽  
pp. 2854-2858
Author(s):  
Ming Yu Zhao ◽  
Zhen Yu Wang ◽  
Qiong Liu

Crew rostering is one of the most important scheduling problems for large airlines. In this study, a LP resolving algorithm in the B&B tree context and a heuristic for the IP solution of the crew rostering problem were proposed. The efficiency mainly comes from the special structure of the crew rostering problem. The computational experiments on the real-world problems showed that the time of the proposed resolving algorithm doesn't exceed 30% of that solves from scratch although the problem has largely changed, and the heuristic for the IP solution can rapidly get a sufficiently good scheme for all crew.


2004 ◽  
Vol 13 (04) ◽  
pp. 931-944
Author(s):  
P. RADHA KRISHNA ◽  
J. SAILAJA RANI

Data mining is widely used to solve real-world problems in engineering, science and business. Usually the results from data mining obtained through the traditional approaches are not interpretable in the real life scenario. This paper suggests an approach for logical interpretations of the clustered data. Our approach involves using fuzzy ART technique for clustering the data and then applying the soft regression technique for interpreting the results of the clustering. The proposed model provides better analysis of data for describing overlapping clusters. We used our model to analyze patterns in the advances data of a public sector bank. Analyses and experiments show the effectiveness of the proposed method.


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