Quantifying the consistency of scientific databases

Science is a social process with far-reaching impact on our modern society. In the recent years, for the first time we are able to scientifically study the science itself. This is enabled by massive amounts of data on scientific publications that is increasingly becoming available. The data is contained in several databases such as Web of Science or PubMed, maintained by various public and private entities. Unfortunately, these databases are not always consistent, which considerably hinders this study. Relying on the powerful framework of complex networks, we conduct a systematic analysis of the consistency among six major scientific databases. We found that identifying a single "best" database is far from easy. Nevertheless, our results indicate appreciable differences in mutual consistency of different databases, which we interpret as recipes for future bibliometric studies.Comment: 20 pages, 5 figures, 4 table

Abdominal surgery process modeling frameworkfor simulation using spreadsheets

We provide a continuation of the existing Activity Table Modeling methodology with a modu-lar spreadsheets simulation. The simulation model developed is comprised of 28 modelingelements for the abdominal surgery cycle process. The simulation of a two-week patientflow in an abdominal clinic with 75 beds demonstrates the applicability of the methodol-ogy. The simulation does not include macros, thus programming experience is not essentialfor replication or upgrading the model. Unlike the existing methods, the proposed solu-tion employs a modular approach for modeling the activities that ensures better readability,the possibility of easily upgrading the model with other activities, and its easy extensionand connectives with other similar models. We propose a first-in-first-served approach forsimulation of servicing multiple patients. The uncertain time duration of the activities ismodeled using the function “rand()”. The patients movements from one activity to the nextone is tracked with nested “if()” functions, thus allowing easy re-creation of the processwithout the need of complex programming

Ranking of business process simulation tools with DEX/QQ hierarchical decision model

The omnipresent need for optimisation requires constant improvements of companies’ business processes (BPs). Minimising the risk of inappropriate BP being implemented is usually performed by simulating the newly developed BP under various initial conditions and “what-if” scenarios. An effectual business process simulations software (BPSS) is a prerequisite for accurate analysis of an BP. Characterisation of an BPSS tool is a challenging task due to the complex selection criteria that includes quality of visual aspects, simulation capabilities, statistical facilities, quality reporting etc. Under such circumstances, making an optimal decision is challenging. Therefore, various decision support models are employed aiding the BPSS tool selection. The currently established decision support models are either proprietary or comprise only a limited subset of criteria, which affects their accuracy. Addressing this issue, this paper proposes a new hierarchical decision support model for ranking of BPSS based on their technical characteristics by employing DEX and qualitative to quantitative (QQ) methodology. Consequently, the decision expert feeds the required information in a systematic and user friendly manner. There are three significant contributions of the proposed approach. Firstly, the proposed hierarchical model is easily extendible for adding new criteria in the hierarchical structure. Secondly, a fully operational decision support system (DSS) tool that implements the proposed hierarchical model is presented. Finally, the effectiveness of the proposed hierarchical model is assessed by comparing the resulting rankings of BPSS with respect to currently available results

Modeling and Evaluation of the Possibilities of Forming a Regional Industrial Symbiosis Networks

Industrial symbiosis (IS) is a term used to describe a network of diverse organizations that make use of different byproducts to improve their ability to achieve common goals, improve environmental conditions, and/or improve business and technical processes. In this paper, we propose a model for evaluation of the possibilities of the establishment of such IS on a regional level. This paper studied a benchmark of seven IS examples, which are used to build a qualitative multi-criteria decision model for evaluation of the development of IS network model. Through these examples, where two are the best known IS cases in the world, we demonstrate the importance of social actors’ involvement in IS in their industrial or non-industrial technological processes

The cost of systemic therapy for metastatic colorectal carcinoma in Slovenia: discrepancy analysis between cost and reimbursement

Background. The aim of the study was to estimate the direct medical costs of metastatic colorectal cancer (mCRC) treated at the Institute of Oncology Ljubljana and to question the healthcare payment system in Slovenia

SIGMO : A decision support System for Identification of genetically modified food or feed products

Since their introduction in 1994, more and more genetically modified (GM) crops are grown worldwide and introduced in food or feed products. In the European Union (EU), the production, trade and marketing of GM products is strictly regulated, but the situation is becoming more complex due to the increasing number and complexity of GM crops, and asynchronic approval procedures with the major GM crop producing countries. Importers and traders are obliged to assess their respective supply chains for the potential presence of authorised and unauthorised GM organisms (GMOs), where wrong decisions may lead to substantial economic losses. This article presents a decision support system SIGMO aimed at guiding producers and traders with the assessment of the likelihood that their products may comprise authorised or unauthorised GM materials. The assessment is based on traceability data about the product (nature and origin of the raw materials, transportation aspects), as well as analytical results of the presence of GMOs in the final product or its ingredients. The approach uses a combination of data-driven and model-driven decision support. SIGMO is composed of (1) a data base providing data about GMO crop species produced and approved in counties worldwide, (2) a multi-attribute model for the assessment of GMO presence in food/feed products, and (3) an on-line user interface. SIGMO helps producers and traders to better comply to valid EU GMO regulations and to better control their products and supply chains in terms of the unintended presence of (unauthorised) GMOs in a cost-effective way