University of New York Tirana
Tirana, Albania

University of New York Tirana is an accredited private higher education institution in Tirana, Albania. Inaugurated in September 2002, it is the first private university in the country. UNYT offers locally Bachelor’s degrees conferred by the State University of New York's Empire State College and study programs through the SUNY Learning Network. Most UNYT faculty members are foreign-educated Albanians. UNYT offers Bachelor, Master, and Doctoral degrees. Since September 2004, UNYT, in collaboration with Institut Universitaire Kurt Bösch in Sion, Switzerland and the University of Sunderland, offers a Master of Business Administration program. As of June 2004, UNYT has become an associate partner of the Cambridge University International Examinations.According to the Webometrics Ranking of World Universities, UNYT is ranked as the seventh university in Albania. The first rector was Prof. Dr. Gramoz Pashko , who died in a helicopter crash in July 2006.There are 510 students enrolled in the academic programs. Wikipedia.

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Biba M.,University of New York Tirana | Xhafa F.,Polytechnic University of Catalonia | Esposito F.,University of Bari | Ferilli S.,University of Bari
Simulation Modelling Practice and Theory | Year: 2011

Metabolomics is increasingly becoming an important field. The fundamental task in this area is to measure and interpret complex time and condition dependent parameters such as the activity or flux of metabolites in cells, their concentration, tissues elements and other biosamples. The careful study of all these elements has led to important insights in the functioning of metabolism. Recently, however, there is a growing interest towards an integrated approach to studying biological systems. This is the main goal in Systems Biology where a combined investigation of several components of a biological system is thought to produce a thorough understanding of such systems. Biological circuits are complex to model and simulate and many efforts are being made to develop models that can handle their intrinsic complexity. A significant part of biological networks still remains unknown even though recent technological developments allow simultaneous acquisition of many metabolite measurements. Metabolic networks are not only structurally complex but behave also in a stochastic fashion. Therefore, it is necessary to express structure and handle uncertainty to construct complete dynamics of these networks. In this paper we describe how stochastic modeling and simulation can be performed in a symbolic-statistical machine learning (ML) framework. We show that symbolic ML deal with structural and relational complexity while statistical ML provides principled approaches to uncertainty modeling. Learning is used to analyze traces of biochemical reactions and model the dynamicity through parameter learning, while inference is used to produce stochastic simulation of the network. © 2011 Elsevier B.V. All rights reserved.

Biba M.,University of New York Tirana | Xhafa F.,Polytechnic University of Catalonia
Proceedings - 2nd International Conference on Intelligent Networking and Collaborative Systems, INCOS 2010 | Year: 2010

The rapidly growing amount of available digital documents of various formats and the possibility to access these through internet-based technologies in distributed environments, have led to the necessity to develop solid methods to properly organize and structure documents in large digital libraries and repositories. Specifically, the extremely large size of document collections make it impossible to manually organize such documents. Additionally, most of the documents exist in an unstructured form and do not follow any schemas. Therefore, research efforts in this direction are being dedicated to automatically infer structure and schemas. This is essential in order to better organize huge collections as well as to effectively and efficiently retrieve documents in heterogeneous domains in networked system. This paper presents a survey of the state-of-the-art methods for inferring structure from documents and schemas in networked environments. The survey is organized around the most important application domains, namely, bio-informatics, sensor networks, social networks, P2P systems, automation and control, transportation and privacy-preserving for which we analyze the recent developments on dealing with unstructured data in such domains. © 2010 IEEE.

Vajjhala N.R.,University of New York Tirana | Baghurst T.,Oklahoma State University
International Journal of Knowledge Management Studies | Year: 2014

Knowledge sharing is subject to organisational and national cultural influences, but medium-sized firms often implement general knowledge-sharing models without considering cultural factors. The purpose of this study was to investigate the influence of cultural factors on knowledge-sharing activities in medium-sized enterprises in transition economies. The study was driven by the central research question: How do cultural factors influence employees' perceptions of knowledge-sharing initiatives in medium-sized enterprises in transition economies? Qualitative in-depth interviews were conducted with 20 managers working in ten medium-sized enterprises in Albania, which is a transition economy. Six themes revealed the influence of cultural factors on employees' perceptions of knowledge-sharing initiatives in medium-sized enterprises in transition economies. Specifically, national culture and organisational culture influence employee behaviour and participation in knowledge-sharing activities. Thus, it is critical organisational leaders of medium-sized firms in Albania consider the influence of these factors before implementing knowledge-sharing activities in firms. © 2014 Inderscience Enterprises Ltd.

Ferilli S.,University of Bari | Basile T.M.A.,University of Bari | Esposito F.,University of Bari | Biba M.,University of New York Tirana
Proceedings of the International Conference on Document Analysis and Recognition, ICDAR | Year: 2011

Information Retrieval in large digital document repositories is at the same time a hard and crucial task. While the primary type of information available in documents is usually text, images play a very important role because they pictorially describe concepts that are dealt with in the document. Unfortunately, the semantic gap separating such a visual content from the underlying meaning is very wide. Additionally image processing techniques are usually very demanding in computational resources. Hence, only recently the area of Content-Based Image Retrieval has gained more attention. In this paper we describe a new technique to identify known objects in a picture based on a comparison of the shapes to known models. The comparison works by progressive approximations to save computational resources, and relies on novel algorithmic and representational solutions to improve preliminary shape extraction. © 2011 IEEE.

Trandafili E.,Polytechnic University of Tirana | Biba M.,University of New York Tirana
International Journal of e-Business Research | Year: 2013

Social networks have an outstanding marketing value and developing data mining methods for viral marketing is a hot topic in the research community. However, most social networks remain impossible to be fully analyzed and understood due to prohibiting sizes and the incapability of traditional machine learning and data mining approaches to deal with the new dimension in the learning process related to the large-scale environment where the data are produced. On one hand, the birth and evolution of such networks has posed outstanding challenges for the learning and mining community, and on the other has opened the possibility for very powerful business applications. However, little understanding exists regarding these business applications and the potential of social network mining to boost marketing. This paper presents a review of the most important state-of-the-art approaches in the machine learning and data mining community regarding analysis of social networks and their business applications. The authors review the problems related to social networks and describe the recent developments in the area discussing important achievements in the analysis of social networks and outlining future work. The focus of the review in not only on the technical aspects of the learning and mining approaches applied to social networks but also on the business potentials of such methods. Copyright © 2013, IGI Global.

Trandafili E.,Polytechnic University of Tirana | Biba M.,University of New York Tirana
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2013

Scalability is a major issue in the application of machine learning and data mining to large-scale networked environments. While there has been important progress in the learnability of models for medium-sized datasets, there is still much challenge in facing large-scale systems. In particular, with the evolution of distributed and networked environments, the complexity of the learning and mining process has now grown due to the possibility to integrating more data in the learning process. This paper provides a survey on the state-of-the-art on the methods and algorithms to enhance scalability of machine learning and data mining for large-scale networked systems. © 2013 Springer-Verlag Berlin Heidelberg.

Binaj I.,University of New York Tirana | Suli D.,Agricultural University of Tirana
International Journal of Economics and Financial Issues | Year: 2013

This paper emphasizes the vital importance of the agriculture sector to the food security for Albania and other neighboring post-communist countries. The aim of this study is to illustrate how investments in agricultural development and food security can protect these countries form future global crisis. Agriculture sector used to be a major contributor to the Albanian economy until the 90’s and its role decreased with the liberalization of the economy. Albanians are of the opinion that more investment opportunities within the agricultural sector are required to decrease poverty at the national level and to make sustainable development possible for Albania. To achieve this, agricultural development and food security must be at the focus of the Albanian economy. This paper recommends an increase in investment within the agricultural sector across the nation. The mixed research approach method was used to validate these claims. © 2013, Econjournals. All rights reserved.

Skendaj E.,University of New York Tirana | Biba M.,University of New York Tirana
Proceedings - 2012 6th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2012 | Year: 2012

This paper presents the development of a secure file sharing mechanism in JXTA, a universal platform independent Peer to Peer (P2P) environment. Digital Signatures are chosen as the tool for ensuring authenticity and integrity of shared files in a hybrid P2P environment. The application developed is based on JXSE, the Java implementation of JXTA and reuses CMS as an early realization of Content Management System by the community, but which does not support security out of the box. The contribution of this paper is a new security model for sharing files in CMS. In this paper, the design, implementation and evaluation of such model are presented, then conclusions are drawn and the windows for practical implementation are opened. © 2012 Crown Copyright.

Lice E.,University of New York Tirana | Biba M.,University of New York Tirana
Proceedings - 2012 6th International Conference on Complex, Intelligent, and Software Intensive Systems, CISIS 2012 | Year: 2012

This paper presents a customization of the Rational Unified Process (RUP) in a systems integration scenario in a large telecommunication company. The purpose of congregating existing systems is to leverage greater benefits from the company's computer systems. RUP has been chosen as the software development process due to its strong focus on promoting the fulfillment of the needs of end-users, while all along increasing chances that the process be delivered within an estimated schedule and budget. However, despite the undisputed interest in RUP, there is a gap in the total amount of empirical studies on the adoption and introduction of RUP in the context of specific project types. Moreover, there is little research in investigating and adopting RUP in system integration scenarios. In this paper we investigate the right process-level of RUP to be applied to the systems integration project in a real world business scenario. In addition we evaluate the suitability of RUP for this project's context. Evaluation results present advantages and disadvantages of using RUP in projects of the type described here while areas of future work are identified and presented. © 2012 Crown Copyright.

PubMed | University of New York Tirana
Type: | Journal: Medicine, health care, and philosophy | Year: 2016

This study examines the decisions of the French Conseil dEtat (Supreme Administrative Court) and the European Court of Human Rights in the Lambert case concerning the withdrawal of life-sustaining treatments. After presenting the facts of this case, the main legal question will be analyzed from an ethical and medical standpoint. The decisions of the Conseil dtat and then of the European Court of Human Rights are studied from a comparative legal perspective. This commentary focuses on the autonomous will of an unconscious patient and on the judicial interpretation of the right to life as recognized in article 2 of the European Convention on Human Rights. Furthermore, it medically classifies artificial nutrition and hydration (ANH) as a treatment which has ethical and legal implications. While the majority of the bioethical community considers ANH a medical treatment, a minority argues that ANH is basic care. This classification is ambiguous and has conflicting legal interpretations. In the conclusion, the author highlights how a French lawmaker in February 2016, finally clarified the status of ANH as a medical treatment which reconciled the different values at stake.

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