Informatics Security Metrics Comparative Analysis

The informatics security concept is defined. For informatics applications which have a classical structure, the development, current use, maintenance, and reengineering particularities are described for distributed systems and m-applications. Metrics are built for the security of open informatics applications and a method for their validation is proposed. To see when a metric is adequate a comparative analysis is made for each indicator using a representative diversity of data sets for the test.security, metrics, informatics, evaluation

The representation of protein complexes in the Protein Ontology

Representing species-specific proteins and protein complexes in ontologies that are both human and machine-readable facilitates the retrieval, analysis, and interpretation of genome-scale data sets. Although existing protin-centric informatics resources provide the biomedical research community with well-curated compendia of protein sequence and structure, these resources lack formal ontological representations of the relationships among the proteins themselves. The Protein Ontology (PRO) Consortium is filling this informatics resource gap by developing ontological representations and relationships among proteins and their variants and modified forms. Because proteins are often functional only as members of stable protein complexes, the PRO Consortium, in collaboration with existing protein and pathway databases, has launched a new initiative to implement logical and consistent representation of protein complexes. We describe here how the PRO Consortium is meeting the challenge of representing species-specific protein complexes, how protein complex representation in PRO supports annotation of protein complexes and comparative biology, and how PRO is being integrated into existing community bioinformatics resources. The PRO resource is accessible at http://pir.georgetown.edu/pro/

METHODS OF PROFESSIONAL COMPETENCE DEVELOPMENT OF FUTURE INFORMATICS PROFESSIONALS

This research investigates the methods employed in the development of professional competence for future informatics professionals. Employing a mixed-methods approach, encompassing surveys, interviews, and a comparative analysis of international practices, the study offers a comprehensive overview of the strategies underpinning competence development. The findings highlight the necessity of a holistic approach, wherein formal education is complemented by experiential learning, collaborative projects, industry partnerships, and continuous professional development. The comparative analysis underscores the universal value of these methods, emphasizing their applicability across diverse educational systems. This research provides a valuable roadmap for educational institutions, industry stakeholders, and policymakers to design effective competence development programs, fostering a robust and adaptable informatics workforce

Object-Oriented Cognitive Complexity Measures: An Analysis

This chapter presents the analysis of ten recently proposed object-oriented metrics based on cognitive informatics. The metrics based on cognitive informatics use cognitive weight. Cognitive weight is the representation of the understandability of the piece of software that evaluates the di culty experienced in comprehending and/or performing the piece of software. Development of metrics based on Cognitive Informatics (CI) is a new area of research, and from this point of view, for the analysis of these metrics, it is important to know their acceptability from other existing evaluation and validation criteria. This chapter presents a critical review on existing object-oriented cognitive complexity measures. In addition, a comparative study based on some selected attributes is presented

Cognitive Complexity Measures: An Analysis

Cognitive informatics (CI), a multidisciplinary area of research tries to solve the common problems in the field of informatics, computer science, software engineering, mathematics, cognitive science, neurobiology, psychology, and physiology. Measurement in software engineering is also a core issue which is still striving for its standardization process. In recent years, several cognitive complexity measures based on CI have been proposed. However, each of them has their own advantages and disadvantages. This chapter presents a critical review on existing cognitive complexity measures. Furthermore, a comparative study based on some selected attributes has been presented

Comparative Study of Artificial Neural Network based Classification for Liver Patient

The extensive accessibility of new computational methods and tools for data analysis and predictive modeling requires medical informatics researchers and practitioners to steadily select the most appropriate strategy to cope with clinical prediction problems. Data mining offers methodological and technical solutions to deal with the analysis of medical data and construction of prediction models. Patients with Liver disease have been continuously increasing because of excessive consumption of alcohol, inhale of harmful gases, intake of contaminated food, pickles and drugs. Therefore, in this study, Liver patient data is considered and evaluated by univariate analysis and a feature selection method for predicator attributes determination. Further comparative study of artificial neural network based predictive models such as BP, RBF, SOM, SVM are provided. Keywords: Medical Informatics, Classification, Liver Data, Artificial Neural Networ

E-Government: Contrasting Approaches and AlternativeInsights

We focus contrasting a social informatics approach with socio-political and techno-centricdesign approaches, using data from a study of e-government activity in criminal justice as theempirical basis. By social informatics we mean ‘the interdisciplinary study of the design(s),uses, and consequences of information technology that takes into account their interactionwith institutional and cultural context’.†The empirical material comes from our ongoingstudies of integrated criminal justice efforts in the United States. By integrated criminaljustice we mean both the technological infrastructure and the institutional circuitry. Here wefocus on San Diego, California’s Automated Regional Justice Information Sharing system(ARJIS, see www.arjis.org).In the comparison of approaches to engaging ARJIS we focus attention to differences in howhuman actions, the ICT, and their interactions are represented,. And, in doing this wehighlight the alternative findings and interpretations that often arise from these differentapproaches to engaging e-government. We conclude our comparative analysis by returning tosocial informatics and engaging issues with improving the conceptual and methodologicaltool suites available, and with the importance of engaging the situated, social, and materialelements of any ICT-based system