The treatment of multidrug-resistant Acinetobacter baumannii meningitis is a serious therapeutic problem due to the limited penetration antibiotics into CSF. We describe clinical features and outcome group patients with nosocomial neurosurgical treated different options.All post-surgical A. diagnosed between 1990 2004 were retrospectively reviewed.During period study, 51 cases this infection identified. Twenty-seven intravenous (iv) monotherapy: carbapenems (21 cases), ampicillin/sulbactam...

Abstract Anomaly detection in industrial control and cyber-physical systems has gained much attention over the past years due to increasing modernisation exposure of environments. Current dangers connected industry include theft intellectual property, denial service, or compromise cloud components; all which might result a cyber-attack across operational network. However, most scientific work employs device logs, necessitate substantial understanding preprocessing before they can be used...

With the shortage of spectrum in conventional cellular frequencies, millimeter-wave (mmWave) bands are being widely considered for use next-generation networks. Multihop relaying is likely to play a significant role mmWave systems self backhauling, range extension and improved robustness from path diversity. However, designing scheduling policies these challenging due need account both adaptive directional transmissions dynamic time-division duplexing schedules, which key enabling features...

Social dilemmas are often shaped by actions involving uncertain returns only achievable in the future, such as climate action or voluntary vaccination. In this context, uncertainty may produce non-trivial effects. Here, we assess experimentally - through a collective risk dilemma effect of timing uncertainty, i.e. how about when target needs to be reached affects participants' behaviors. We show that prompts not early generosity but also polarized outcomes, where total contributions...

INES (INtelligent Educational System) is a functional prototype of an online learning platform, which combines three essential capabilities related to e-learning activities. These are those concerning LMS (learning management system), LCMS content and ITS (intelligent tutoring system). To carry out all this functionalities, our system, as whole, comprises set different tools technologies, follows: semantic managing users (administrators, teachers, students...) contents tools, intelligent...

Home assistant chat-bots, self-driving cars, drones or automated negotiation systems are some of the several examples autonomous (artificial) agents that have pervaded our society. These enable automation multiple tasks, saving time and (human) effort. However, their presence in social settings raises need for a better understanding effect on interactions how they may be used to enhance cooperation towards public good, instead hindering it. To this end, we present an experimental study human...

Social media platforms, increasingly used as news sources for varied data analytics, have transformed how information is generated and disseminated. However, the unverified nature of this content raises concerns about trustworthiness accuracy, potentially negatively impacting readers’ critical judgment due to disinformation. This work aims contribute automatic quality validation field, addressing rapid growth online on wiki pages. Our scalable solution includes stream-based processing with...

The dynamic formation of coalitions is a well-known area interest in multi-agent systems (MAS). Coalitions can help self-interested agents to successfully cooperate and coordinate mutually beneficial manner. Moreover, the organization provided by particularly helpful for large-scale MAS. In this paper we present distributed approach coalition emergence particular, focus on MAS with interacting over complex networks since they provide realistic model nowadays interconnected world (e.g. social...

This paper introduces a hybrid recommendation platform providing information about tourist resources depending on the user profile, location, schedule and amount of time for visiting interest points isolated or combined in route.

Online tourism crowdsourcing platforms, such as AirBnB, Expedia or TripAdvisor, rely on the continuous data sharing by tourists and businesses to provide free paid value-added services. When adequately processed, these streams can be used explain support in early identification of trends well prospective obtaining tailored recommendations, increasing confidence platform empowering further end-users. However, existing platforms still do not embrace desired accountability, responsibility...

Intelligent tutoring systems (ITS) are interactive learning environments based on instruction assisted by computers. The intelligence of these is largely attributed to their ability adapt a specific student during the teaching process. In general, adaptation process can be described three phases: (i) getting information about student, (ii) processing initialize and update model, (iii) using model provide adaptation. this paper we studied aspects related with modeling (SM) in intelligent...

In this article we tackle the problem of maximizing cooperation among self-interested agents in a resource exchange environment. Our main concern is design mechanisms for way that their profits increase by exchanging or trading with resources. Although dynamic coalition formation and partner switching (rewiring) have been shown to promote emergence maintenance agents, no prior work literature has investigated whether merging both exhibits positive synergies lead even further. Therefore,...

It is generally known that cooperation can be achieved in complex real-world interactions are not limited to direct only. In particular, consider prior with other players, i.e., indirect reciprocity. Moreover, coalition based mechanisms have shown facilitate among self-interested agents. Also, research on games over dynamic topologies has found empirical evidence showing partner switching leads cooperative behavior. this paper we present a new mechanism improve agents placed network. Our...

Intelligent Tutoring Systems are computer programs that aim at providing personalized instruction to students. In recent years, conversational robots, usually known as chatterbots, become very popular in the Internet, and ALICE (Artificial Linguistic Internet Computer Entity) is probably most one. brain written AIML Intelligence Markup Language), an open XML language. We have considered combination of both approaches, i.e, use AIML-based bots for tutoring purposes e-Learning platforms such...

Recommender systems help users cope with information overload by using their preferences to recommend items. To date, most recommenders have employed users' ratings, about the user's profile, or metadata describing take advantage of Web 2.0 applications, authors propose obtained from social tagging improve recommendations. The TV program recommender queveo.tv currently combines content-based and collaborative filtering techniques. This article presents a novel tag-based enhance recommending...

Intelligent Tutoring Systems (ITSs) are educational systems that use artificial intelligence techniques for representing the knowledge. ITSs design is often criticized being a complex and challenging process. In this article, we propose framework using Case Based Reasoning (CBR) Multiagent (MAS). The major advantage of CBR to allow intelligent system smart quick solutions problems, even in domains, avoiding time necessary derive those from scratch. agents MAS architectures supports retrieval...

The next generation of cellular networks (5G) will provide dense millimeter-wave backhaul architectures to wirelessly forward heterogeneous data traffic in a multihop fashion. In this paper, we present general optimization framework for the design delay-aware (DA) policies wireless networks, providing proportional prioritization traffic. We develop three throughput-optimal DA algorithms (BP-DA, BPE-DA, and HD-DA) joint dynamic routing link-scheduling problems with good optimal average...