An Evolutive Model of Knowledge-Based Organizational Populations

In this paper we develop an evolutionary agent-based simulation model derived from a knowledge-based theoretical framework and use it to explore the effect of knowledge management strategies on the evolution of a group of knowledge-intensive organizations located in a given geographical area. We then present the results of different runs of the simulation model.knowledge management strategies

Reputation Model with Forgiveness Factor for Semi-Competitive E-Business Agent Societies

In this paper we introduce a new reputation model for agents engaged in e-business transactions. Our model enhances classic reputation models by adding forgiveness factor and new sources of reputation information based on agents groups. The model was implemented using JADE multi-agent platform and initially evaluated for e-business scenarios comprising societies of buyer and seller agents.

How Can We Increase Sales Force Motivation? Practical Approach: Stimulating Motivation on a Telecom Companies` Sales Force

What makes the salesmen tick and make them boldly go where no salesmen have gone before? (And make huge profit from it.) Can we classify without mistake the salesmen in different categories? Can we develop a matrix were we can put in the variables and in the end we will have the solution to every sales problems? What if money it’s simply not enough, in some cases? After what point do the incentives start working against the salesmen and the employer? In this research, conducted on a test group of 150 salesmen for a period of 12 months, a Business Sales Department on a major multinational telecom company, spread all around Romania, we will try to find answers to some of these questions. The challenge: understand the mechanics of sales force motivation and sales force incentives, and of course, how they interact. There are “two sides of the story” - two objectives. The first goal was to increase sales on a product that did not sell very well (interesting for the telecom company), and the second objective was to understand what happens to a group of 150 salesmen when faced to different methods of motivation (interesting for us).sales force, motivation, telecom companies, management.

AN ADAPTATIVE EVOLUTIONARY MODEL OF FINANCIAL INVESTORS

The main purpose of the paper is to determine a general behavior of a multi-agent model capable of describing the process of deliberation of an investors group witch may repeatedly decide whether to buy or sell an asset. Each adaptive agent was modeled asProgramming Models, Genetic algorithms, Information efficiency

An Evolutive Model of Knowledge-Based Organizational Populations

In this paper we develop an evolutionary agent-based simulation model derived from a knowledge-based theoretical framework and use it to explore the effect of knowledge management strategies on the evolution of a group of knowledge-intensive organizations located in a given geographical area. We then present the results of different runs of the simulation model

Handwritten Documents Text Line Segmentation based on Information Energy

The first step in the text recognition process is represented by the text line segmentation procedures. Only after text lines are correctly identified can the process proceed to the recognition of individual characters. This paper proposes a line segmentation algorithm based on the computation of an information content level, called energy, for each pixel of the image and using it to execute the seam carving procedure. The algorithm proposes the identification of text lines which follow the text more accurately with the expected downside of the computational overhead

Loupe: Driving the Development of OS Compatibility Layers

Supporting mainstream applications is fundamental for a new OS to have impact. It is generally achieved by developing a layer of compatibility allowing applications developed for a mainstream OS like Linux to run unmodified on the new OS. Building such a layer, as we show, results in large engineering inefficiencies due to the lack of efficient methods to precisely measure the OS features required by a set of applications. We propose Loupe, a novel method based on dynamic analysis that determines the OS features that need to be implemented in a prototype OS to bring support for a target set of applications and workloads. Loupe guides and boosts OS developers as they build compatibility layers, prioritizing which features to implement in order to quickly support many applications as early as possible. We apply our methodology to 100+ applications and several OSes currently under development, demonstrating high engineering effort savings vs. existing approaches: for example, for the 62 applications supported by the OSv kernel, we show that using Loupe, would have required implementing only 37 system calls vs. 92 for the non-systematic process followed by OSv developers. We study our measurements and extract novel key insights. Overall, we show that the burden of building compatibility layers is significantly less than what previous works suggest: in some cases, only as few as 20% of system calls reported by static analysis, and 50% of those reported by naive dynamic analysis need an implementation for an application to successfully run standard benchmarks.Comment: Accepted to appear at ASPLOS'24 (https://www.asplos-conference.org/asplos2024/

Pregnancy in the context of Multiple Sclerosis

Multiple Sclerosis is a chronic autoimmune neurodegenerative disorder which affects brain, spinal cord and optic nerve. During last years the perception over the disease changed dramatically, now being considered a handleable disease. The particularity of this subject is that Multiple Sclerosis is a disease which affects mostly young women, many of them not having any children at the moment of diagnosis. This article highlights the fact that women diagnosed with Multiple Sclerosis are allowed to get pregnant, and, moreover, they are encouraged to live a normal life. In most cases, disease activity freezes during pregnancy, only a small percentage of women will continue to have clinically and radiologically active disease. For those women, IFN-β and Glatiramer Acetate are the first-choice therapies that should be given. In cases when the disease is not responding to common medication, refractory to treatment forms may be successfully treated with Natalizuab, during the first and the second trimester. Breastfeeding is also encouraged, as it has a protective effect on disease progression. The main purpose of this article is to make a literature review in which to summarize the updates regarding pregnancy and postpartum management, relapses management and, also, the impact of pregnancy on Multiple Sclerosis course. The analysis was limited to articles written in English and published between August 2019 - October 2022 on PubMed, NCBI and Medical Journals