Knowledge of the German building stock is largely based on census data and annual construction statistics. Despite the wide range of statistical data, they are constrained in terms of temporal, thematic and spatial resolution, and hence do not satisfy all requirements of spatial planning and research. In this paper, we describe a new workflow for data integration that allows the quantification ...

This paper examines an integrated decision-making process regarding pricing for uncertain demand and sourcing from uncertain supply, which are often studied separately in the literature. Our analysis of the integrated system suggests that the base stock list price policy fails to achieve optimality even under deterministic demand. Instead, the optimal policy is characterized by two critical val...

We investigate a periodic inventory system for a single item with stochastic demand and random yield. Since the optimal policy for such a system is complicated we study the class of stationary linear-inflation policies where orders are only placed if the inventory position is below a critical stock level, and where the order quantity is controlled by a yield inflation factor. We consider two di...

One of the goals of financial reporting is to provide the useful information in order to facilitate the decision making. Accounting information system is of high importance for the users to make specific decisions. The information should be analyzed to present the valuable information to the investors so that in this paper, the relative content and return additive with cash recovery have been a...

The present scientific peer review describes on novel natural cyclobutane characterization of this alkaloid showed that it an efficient bioavailability enhancer for different anti-cancer, anti-depressant, anti-apoptotic, anti extraction, quantification and applications of piperine we substantial knowledge to scientific world to develop industries.

Enterprises depend on their information workers finding valuable information to be productive. However, existing enterprise search and recommendation systems can exploit few studies on the correlation between information content and information workers’ productivity. In this paper, we combine content, social network and revenue analysis to identify computational metrics for finding valuable inf...

The use of machine learning in the realm of finance is becoming much more prevalent as algorithmic trading catches on. Similarly, online social networking data becomes more valuable with new research in mining. The goal of this project is to take the next steps in these directions. Using different methods to interpret Twitter content, we hope to predict movement in the Dow Jones Industrial Aver...

Since Neer's early work in the 1950s shoulder arthroplasty has evolved as a treatment option for various glenohumeral joint disorders. Both hemiarthroplasty and total shoulder prostheses have associated problems. This has led to further work with regards to potential resurfacing, with the aim of accurately restoring native proximal humeral anatomy while preserving bone stock for later procedure...