The business case for corporate social responsibility (CSR) is good business: A comparative analysis of CSR practices in the South African and Australian banking sectors

A focus of the study will be on the South African banking sector, comparing it with the CSR practices of Australian banking sector. The reason for this comparative analysis stems from the similarities that are prevalent between the two countries, although they have different designations, with one country as a developing country and the other as a developed country respectively. Both countries were once colonies. Australia was ruled by British and South Africa was ruled by Dutch and British. Both countries' financial sectors are well regulated and developed. Similar rules regarding disclosing information are applied in both countries' listed companies. The listed companies in both countries are required to disclose their social and environmental information in addition to their financial informatio

Tax accounting of the city of Detroit

The two most important factors in any mechanical accounting system are those of control and operating cost. The ideal system is one that affords the closest possible control over the records at the lowest cost and provides flexibility during peak periods. The City of Detroit, Michigan, uses Burroughs machines exclusively on tax accounting work. This work includes calculating and billing the taxes, distributing the daily receipts and posting and proving the delinquent records as well as all control accounts. The system outlined in this booklet was designed especially to meet the requirements of a particular city. No attempt is made to cover all the various phases and problems of tax accounting work with which various municipalities are confronted. However, there is no phase of the work that cannot be handled at reduced cost with Burroughs machines. Each municipality, whether large or small, has its own particular problems to solve. Small municipalities may accomplish with one machine everything that is accomplished in a large city like Detroit with seventy-eight machines. A study of this booklet will give the reader a very good picture of the possibilities of Burroughs machines on tax accounting work

The scientific evaluation of music content analysis systems: Valid empirical foundations for future real-world impact

We discuss the problem of music content analysis within the formal framework of experimental design

Machine Learning for Software Engineering: Models, Methods, and Applications

Machine Learning (ML) is the discipline that studies methods for automatically inferring models from data. Machine learning has been successfully applied in many areas of software engineering ranging from behaviour extraction, to testing, to bug fixing. Many more applications are yet be defined. However, a better understanding of ML methods, their assumptions and guarantees would help software engineers adopt and identify the appropriate methods for their desired applications. We argue that this choice can be guided by the models one seeks to infer. In this technical briefing, we review and reflect on the applications of ML for software engineering organised according to the models they produce and the methods they use. We introduce the principles of ML, give an overview of some key methods, and present examples of areas of software engineering benefiting from ML. We also discuss the open challenges for reaching the full potential of ML for software engineering and how ML can benefit from software engineering methods

Receipt from Fishkill Landing Machine Co.

https://digitalcommons.salve.edu/goelet-new-york/1221/thumbnail.jp

The attribute selection for GRE challenge : overview and evaluation results

The Attribute Selection for Generating Referring Expressions (ASGRE) Challenge was the first shared-task evaluation challenge in the field of Natural Language Generation. Six teams submitted a total of 22 systems. All submitted systems were tested automatically for minimality, uniqueness and ‘humanlikeness’. In addition, the output of 15 systems was tested in a task-based experiment where subjects were asked to identify referents, and the speed and accuracy of identification was measured. This report describes the ASGRE task and the five evaluation methods, gives brief overviews of the participating systems, and presents the evaluation results.peer-reviewe

Collimator settings generation, management and verification

Different collimator settings are required throughout the LHC operational cycle following the evolution of key beam parameters like energy, orbit and β-functions. Beam-based alignment is used to determine the beam centers and beam sizes at the collimators at discrete times in the cycle, such as injection, flat-top and collisions. These parameters are then used to generate setting functions for the collimator positions and interlock limits. An overview of the settings generation, management and verification cycle is presented, and potential error scenarios in the settings generation are identified. Improvements foreseen for the post LS1 operation are discussed. The present collimator status monitoring system is reviewed with suggestions for improvement. The role of MAD-X online is discussed. Finally, the results and current status towards maximizing the potential of the embedded-BPM collimators that will be installed in 18 collimator slots during LS1 is presented, including the tested automatic alignment procedure, software interlocks and orbit monitoring.peer-reviewe