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The curricula vitae of four candidates for a professorial appointment at Athens University were examined to estimate the actual contribution of each candidate to the papers of which he was a coauthor. A total of 879 research papers by the four candidates were analysed in terms of the number of authors, the sequence of names, and the year of publication. The four authors presented 364, 349, 96, and 70 papers. If an equal contribution of all coauthors is assumed, the actual number of papers (all papers divided by the number of authors), is about 106, 83, 28, and 26, respectively, so that the rank of the four candidates did not change. On the assumption that the contribution was related to the candidate's position in the order of the coauthors' names, the numbers of papers were corrected to 84, 95, 26, 33 using one statistical method and to 88, 94, 28, 31 using another. These assumptions may not be valid, however, especially as the last author may be more important than the intermediate ones. It is suggested that the journals require authors to state their specific contribution to a paper, such as original idea, planning, collecting data, writing up, etc. Br Med J (Clin Res Ed)

Many medical journals, publishing in national languages, meet serious financial problems and difficulties when they attempt to become indexed in the international indices. Obviously, this not only affects the scientific quality of non-indexed medical journals (NIMJs) but also affects the awareness of the scientific community of topics with apparently local but potentially broader scientific significance. This is a reality for over 100 Greek medical journals, none of which has a life longer than 30 years or more than 2000 subscribers. Among them, the 'Archives of Hellenic Medicine' (AHM) is published and sponsored by the Athens Medical Society (the oldest medical society in Greece founded in 1835). This peer-reviewed Journal is being published for 13 years, bimonthly, in Greek. Attempting to overcome the above mentioned problems and to be involved in the process of discovering the most effective way of scientific 'skywriting', 2 years ago, the AHM entered full-text in the Web and it was decided that up to 500% of its volume should be covered by English-language papers. As a result, the AHM are now included in the main Web lists of medical journals and their home page is linked in many academic pages having approximately 500 hits/month. Furthermore, 45 retrievals of AHM's English-language papers or English abstracts of Greek-language articles were reported by e-mail response from abroad. Considered apart from the paper-publishing, the expenses of the digital publishing of the AHM are about half of those of paper-publishing, as they were before the appearance of the Journal in the Web. Up to now, about 40% of the Journal's digital publishing cost is covered by advertisements included in its pages and by a modification of its paper-publishing policy. It is concluded that the international scientific community is not indifferent for information published in NIMJs. Medical national minorities working abroad express special interest for this type of information. The Web makes the NIMJs accessible to these potential readers, who would never have the chance to acquire them in their printed form.

This paper presents a decision support system (DSS) for sustainable development and environmental protection of agricultural regions developed in the framework of the Interreg-Archimed project entitled WaterMap (development and utilization of vulnerability maps for the monitoring and management of groundwater resources in the ARCHIMED areas). Its aim is to optimize the production plan of an agricultural region taking in account the available resources, the environmental parameters, and the vulnerability map of the region. The DSS is based on an optimization multicriteria model. The spatial integration of vulnerability maps in the DSS enables regional authorities to design policies for optimal agricultural development and groundwater protection from the agricultural land uses. The DSS can further be used to simulate different scenarios and policies by the local stakeholders due to changes on different social, economic, and environmental parameters. In this way, they can achieve alternative production plans and agricultural land uses as well as to estimate economic, social, and environmental impacts of different policies. The DSS is computerized and supported by a set of relational databases. The corresponding software has been developed in a Microsoft Windows XP platform, using Microsoft Visual Basic, Microsoft Access, and the LINDO library. For demonstration reasons, the paper includes an application of the DSS in a region of Northern Greece.

Two-way satellite broadband communication technologies, such as the Digital Video Broadcasting with Return Channel via Satellite (DVB-RCS) technology, endeavour to offer attractive wide-area broadband connectivity for telemedicine applications, taking into consideration the available data rates, Quality of Service (QoS) provision, survivability, flexibility and operational costs, even in remote areas and isolated regions where the terrestrial technologies suffer. This paper describes a wide-area tele-medicine platform, specially suited for homecare services, based on the DVB-RCS and Wi-Fi communication technologies. The presented platform combines medical data acquisition and transfer, patient remote monitoring and teleconference services. Possible operational scenarios concerning this platform and experimental results regarding tele-monitoring, videoconference and medical data transfer are also provided and discussed in the paper.

Recent developments in networking and computing technologies and the expansion of the electronic health record system have enabled the possibility of online collaboration between geographically distributed medical personnel. In this context, the paper presents a Web-based application, which implements a collaborative working environment for physicians by enabling the peer-to-peer exchange of electronic health records. The paper treats technological issues such as Video, Audio and Message Communication, Workspace Management, Distributed Medical Data Management and exchange, while it emphasizes on the Security issues arisen, due to the sensitive and private nature of the medical information. In the paper, we present initial results from the system in practice and measurements regarding transmission times and bandwidth requirements. A wavelet based image compression scheme is also introduced for reducing network delays. A number of physicians were asked to use the platform for testing purposes and for measuring user acceptance. The system was considered by them to be very useful, as they found that the platform simulated very well the personal contact between them and their colleagues during medical meetings.

The application of information technology to health care has generated growing concern about the privacy and security of medical information. Furthermore, data and communication security requirements in the field of multimedia are higher. In this paper we describe firstly the most important security requirements that must be fulfilled by multimedia medical data, and the security measures used to satisfy these requirements. These security measures are based mainly on modern cryptographic and watermarking mechanisms as well as on security infrastructures. The objective of our work is to complete this picture, exploiting the capabilities of multimedia medical data to define and implement an authorization model for regulating access to the data. In this paper we describe an extended role-based access control model by considering, within the specification of the role-permission relationship phase, the constraints that must be satisfied in order for the holders of the permission to use those permissions. The use of constraints allows role-based access control to be tailored to specifiy very fine-grained and flexible content-, context- and time-based access control policies. Other restrictions, such as role entry restriction also can be captured. Finally, the description of system architecture for a secure DBMS is presented.

The recent emergence of e-government and online social media offers opportunities for governments to meet the demands and expectations of citizens, to provide value-added services and overcome barriers of reduced public budgets. Twitter is the most popular microblogging platform that can facilitate interaction and engagement. It is widely used by government agencies, public affairs practitioners, non-government organizations, members of Parliament and politicians. The paper aims to explore the use of Twitter by government agencies in Greece and record Twitter followers’ preferences regarding which accounts they follow. The paper records 27 Greek e-government Twitter accounts and their 107,107 followers. It uses a data mining technique, association rules and two multivariate statistical methods, multidimensional scaling and cluster analysis and proposes the use of a similarity measure, suitable for describing Twitter account proximity. In this way, the paper locates accounts that share followers. Groups of Twitter accounts are located, and their common orientation is described. The analysis not only describes Twitter account similarities and group formation, but to some extent, the followers’ preferences and habits of obtaining information through Twitter, as well.

PurposeThe aim of this paper is to investigate the use of Web 2.0 tools and their use by Greek library science and information systems (LSIS) students; to study to what extent students use these tools both in everyday life and in relation to their studies.Design/methodology/approachA web‐based questionnaire was distributed to students of the LSIS Department at the Alexander Technological Educational Institute of Thessaloniki, Greece; 240 (25.5 per cent) students of a total population of 958 responded. The paper presents students' knowledge concerning Web 2.0 tools, their use and understanding of such tools, and to draw conclusions regarding the penetration of such tools into their everyday life.FindingsThe research found that although most of the students have heard of the term Web 2.0 and its tools, further knowledge of the subject is limited. This lack of knowledge was apparent in the poor ways that students exploited Web 2.0 features. The questionnaire, which was divided into two sections, examined the knowledge and use of Web 2.0 tools by students, and further explored the use of Web 2.0 tools in the educational process. It is hoped that the results of this study will provide insightful information to the Greek LIS community in order to better understand students' behaviour, with a view to encouraging the incorporation of new elements into the curriculum with regard to Web 2.0.Practical implicationsThe research suggests that the knowledge and implementation of Web 2.0 should begin in the LIS schools to prepare future library staff for the new challenges ahead. The Greek LIS research community has so far largely overlooked students' use of Web 2.0Originality/valueThe paper highlights that Web 2.0 is playing a leading role in library science.

PurposeLibraries constitute a highly developing area as they always enrich their offered services in order to satisfy users' expectations. One of the most important factors in customization strategies and improvement of individual services must be user preferences. However, customization requires an in‐depth analysis of user preferences and an evaluation of future behavior. The main objective of this paper is to present a framework for analyzing changes of user preferences in a library.Design/methodology/approachThe paper presents detailed results of two independent user satisfaction surveys conducted in an interval of five years in the Library of the Technical University of Crete and analyzes them using a proposed framework. However, the framework can be applied in every modern library. The analyses are based on non‐parametric statistical techniques and a multicriteria satisfaction analysis method, which is a multicriteria preference disaggregation approach.FindingsOverall, user judgments for both surveys show that 50‐70 percent of users are “very satisfied” or “satisfied”. The percentage of “satisfied” users increased from 2005 to 2010 (almost 18 percent) and “very satisfied” remained almost the same.Practical implicationsResults are mainly focused on the evaluation of potential trends of user preferences. Furthermore, results of a benchmarking analysis are also presented, based on the evolution of satisfaction levels for the quality characteristics of the offered services.Originality/valueThe goal of the presented study and proposed framework and methodology is to help library decision makers track changes to user preferences and improve the provided services according to those preferences.

Big Data is a relative term, and Small Data can be equally important. Not only the volume of data defines if data is 'Big', but three more Vs characterise the term: velocity (speed of data generation and processing), veracity (referring to data quality) and variety. Perhaps the most defining is methodological: data becomes really big when new methods are needed to process and analyse it. In contrast, this paper demonstrates how even a tiny dataset can contribute to our understanding of the past, in this case of the historical geography of two provinces in Ottoman Greece in the 17th century. Graph analysis is used on a dataset of just 16 data pairs, illustrating the point that a close-up view of data complements the look from farther away at bigger data volumes.

License applicants are often faced with the need to perform a radiological impact assessment study for the liquid discharges in public sewers, even for practices with short-lived isotopes used in medical, educational or research laboratories. The present paper addresses the regulatory management challenges in performing such assessments and provides a practical calculation toolbox that enables more realistic derivation of doses to critical members, based on a simple calculation means. The proposed methodology is validated through comparisons with results from other models. The effectiveness of the method is illustrated by considering relevant examples of hospitals and education and research establishments in Greece. The results show that the proposed method is a sound tool that achieves a more realistic estimation of the induced doses. In most cases a reduction in the initial screening dose estimates by several orders of magnitude is attained, thus greatly facilitating the effort needed to ascertain regulatory compliance.

PurposeThe purpose of this paper is to point out the utilization, integration and exploitation of the internet among libraries in Greece.Design/methodology/approachA survey consisting of 44 questions was distributed to librarians in Greece to collect the data for the study.FindingsThe study reveals that the internet is an essential and rigorous tool for librarians in Greece. It plays an important role for providing quality and quick reference services to users.Research limitations/implicationsLimitations in this study are related to the small sample size, as well as to the number of variables studied.Practical implicationsThe findings of the study would provide some interesting insights into measuring user satisfaction after the introduction of the internet and into conducting future studies with comparable results.Originality/valueThis is believed to be a unique paper featuring Greek libraries and internet. The information and communication technologies could have wider implications in all kinds of libraries.

Reading mathematical texts is closely related to the effort of the reader to understand its content; therefore, it is reasonable to consider such reading as a problem-solving activity. In this paper, the Principle of Mathematical Induction was given to secondary education students, and their effort to comprehend the text was examined in order to identify whether significant elements of problem solving are involved. The findings give evidence that while negotiating the content of the text, the students went through Polya’s four phases of problem solving. Moreover, this approach of reading the Principle of Mathematical Induction in the sense of a problem that must be solved seems a promising idea for the conceptual understanding of the notion of mathematical induction.

PurposeAims to bridge the gap between grid computing and semantic exploitation of information commonly met in digital library infrastructures.Design/methodology/approachThis paper introduces a semantic digital library framework based on grid technology. It follows the OGSA specifications for the development of grid infrastructures capable of efficiently handling such information. It is a service‐oriented approach based on common web technologies such as the web browser and web server. The design principles of the proposed framework take into account the emerging need to exploit the semantics of its underlying information through the employment of adequate open standard technologies such as RDF and OWL.FindingsAlthough semantic exploitation of large data sets used to be a difficult and resource‐consuming activity usually taking place in specialized, highly equipped laboratories, this work demonstrates that emerging technologies like the grid and emerging standards like RDF/OWL are capable of bringing such research closer to the average workstation.Research limitations/implicationsThe lack of a working prototype based on the proposed framework limits the usefulness of the results deriving from this paper.Originality/valueThis paper can serve as a starting point to researchers wishing to conduct research in the area of the semantic grid as applied to digital library infrastructures.

This paper employs a cross-sectional research design to collect quantitative data for a group of Greek pharmaceutical companies in order to evaluate their credit risk. The data are processed using a variety of quantitative approaches, including series two-stage data envelopment analysis (DEA) combined with bootstrap and hierarchical clustering. The results of the two-stage DEA bootstrapped analysis indicate that the key problem with the firms’ performance is a lack of effectiveness rather than operating efficiency. The lack of a correlation between operating efficiency and effectiveness indicates that the firms’ performance metrics are unrelated. As a result, a bootstrapped DEA-based synthetic indicator is developed to be used with the other performance metrics as inputs to hierarchical clustering to divide sample firms into credit risk clusters. The series two-stage DEA bootstrapped approach used in this study could aid firms in evaluating their performance and increasing their competitive advantages.

The identification and recognition of temporal rainfall patterns is important and useful not only for climatological studies, but mainly for supporting rainfall–runoff modeling and water resources management. Clustering techniques applied to rainfall data provide meaningful ways for producing concise and inclusive pattern classifications. In this paper, a timeseries of rainfall data coming from the Greek National Bank of Hydrological and Meteorological Information are delineated to independent rainstorms and subjected to cluster analysis, in order to identify and extract representative patterns. The computational process is a custom-developed, domain-specific algorithm that produces temporal rainfall patterns using common characteristics from the data via fuzzy clustering in which (a) every storm may belong to more than one cluster, allowing for some equivocation in the data, (b) the number of the clusters is not assumed known a priori but is determined solely from the data and, finally, (c) intra-storm and seasonal temporal distribution patterns are produced. Traditional classification methods include prior empirical knowledge, while the proposed method is fully unsupervised, not presupposing any external elements and giving results superior to the former.

The present paper explores a Greek case study on optimizing the design of aviation networks under Public Service Obligations (PSO). Based on previous research on airline PSO networks applied to the case studies of the Azores and Norway, optimization models are adapted to minimize not only the cost to the airline, but also the total social costs. Different predictive models to estimate demand are developed and included in the optimization models. It is found that after applying the developed demand and optimization models, the total network costs can be reduced significantly, compared to the actual network's operation ranging from 4% to 20%.

Within the complex framework of anti-COVID-19 health management, where the criteria of diagnostic testing, the availability of public-health resources and services, and the applied anti-COVID-19 policies vary between countries, the reliability and accuracy in the modeling of temporal spread can prove to be effective in the worldwide fight against the disease. This paper applies an exploratory time-series analysis to the evolution of the disease in Greece, which currently suggests a success story of COVID-19 management. The proposed method builds on a recent conceptualization of detecting connective communities in a time-series and develops a novel spline regression model where the knot vector is determined by the community detection in the complex network. Overall, the study contributes to the COVID-19 research by proposing a free of disconnected past-data and reliable framework of forecasting, which can facilitate decision-making and management of the available health resources.

Internet technologies have demonstrated their value for the early detection and prediction of epidemics. In diverse cases, electronic surveillance systems can be created by obtaining and analyzing on-line data, complementing other existing monitoring resources. This paper reports the feasibility of building such a system with search engine and social network data. Concretely, this study aims at gathering evidence on which kind of data source leads to better results. Data have been acquired from the Internet by means of a system which gathered real-time data for 23 weeks. Data on influenza in Greece have been collected from Google and Twitter and they have been compared to influenza data from the official authority of Europe. The data were analyzed by using two models: the ARIMA model computed estimations based on weekly sums and a customized approximate model which uses daily sums. Results indicate that influenza was successfully monitored during the test period. Google data show a high Pearson correlation and a relatively low Mean Absolute Percentage Error (R = 0.933, MAPE = 21.358). Twitter results are slightly better (R = 0.943, MAPE = 18.742). The alternative model is slightly worse than the ARIMA(X) (R = 0.863, MAPE = 22.614), but with a higher mean deviation (abs. mean dev: 5.99% vs 4.74%).

This paper introduces an automated method for estimating sex from cranial sex diagnostic traits by extracting and evaluating specialized morphometric features from the glabella, the supraorbital ridge, the occipital protuberance, and the mastoid process. The proposed method was developed and evaluated using two European population samples, a Czech sample comprising 170 crania reconstructed from anonymized CT scans and a Greek sample of 156 crania from the Athens Collection. It is based on a fully automatic algorithm applied on 3D models for extracting sex diagnostic morphometric features which are further processed by computer vision and machine learning algorithms. Classification accuracy was evaluated in a population specific and a population generic 2-way cross-validation scheme. Population-specific accuracy for individual morphometric features ranged from 78.5 to 96.7%, whereas population generic correct classification ranged from 71.7 to 90.8%. Combining all sex diagnostic traits in multi-feature sex estimation yielded correct classification performance in excess of 91% for the entire sample, whereas the sex of about three fourths of the sample could be determined with 100% accuracy according to posterior probability estimates. The proposed method provides an efficient and reliable way to estimate sex from cranial remains, and it offers significant advantages over existing methods. The proposed method can be readily implemented with the skullanalyzer computer program and the estimate_sex.m GNU Octave function, which are freely available under a suitable license.

The paper attempts to document the ontology of socio-hydrological systems (SHSs), propose approaches of delimitation of SHSs' (territorial) boundaries, and investigate operational aspects of their adaptation to drought including repercussions on sustainability. To this end, a series of hypotheses are tested: (a) SHSs contain social subsystems with different expectations regarding water resources, different adaptive capacities, adaptation limits and prospects of sustainability, (b) SHSs do not adapt homogenously; some of their subsystems manage optimum adaptation, others fail to adapt and (c) territorial transformation of SHSs (e.g., through expansion of SHSs) may be the result of differential adaptation and sustainability potential within the SHS owing to power relations. After testing above hypotheses in the SHS of Messara Plain, Crete, the authors found out that powerful and dynamic sub-SHSs expand or break the boundaries of the initial SHS by establishing new relationships with other SHSs for the sake of resilience resources. Conversely, powerless sub-SHSs incapable to adapt descend and disappear. Therefore, territorial transformation of SHSs comes about from a combination of successful and failed adaptations, or in other words from different adaptation limits within SHSs. Consequently, water management and local development planning to guarantee adaptability to drought for all should be based on SHSs' analysis and management, not on jurisdictional areas or hydrological basins.

Background The integration of heterogeneous electronic health records systems by building an interoperable nationwide electronic health record system provides undisputable benefits in health care, like superior health information quality, medical errors prevention and cost saving. Objective This paper proposes a semi-distributed system architecture approach for an integrated national electronic health record system incorporating the advantages of the two dominant approaches, the centralized architecture and the distributed architecture. Methods The high level design of the main elements for the proposed architecture is provided along with diagrams of execution and operation and data synchronization architecture for the proposed solution. Results The proposed approach effectively handles issues related to redundancy, consistency, security, privacy, availability, load balancing, maintainability, complexity and interoperability of citizen's health data. Conclusions The proposed semi-distributed architecture offers a robust interoperability framework without healthcare providers to change their local EHR systems. It is a pragmatic approach taking into account the characteristics of the Greek national healthcare system along with the national public administration data communication network infrastructure, for achieving EHR integration with acceptable implementation cost.

Management of musculoskeletal disorders (MSDs) is a necessity for the modern work environment. In hospitals, these disorders have a particularly high frequency among health care workers whose work entails lifting and transporting patients as well as washing, dressing and feeding them. This paper, presents an electronic application which is based on the method of basic items (KIM - Key Item Method) in order to reduce incidents of MSDs resulting from manual transport of loads in healthcare facilities. The sample consisted of 15 female hospital meal servers from Metaxa Hospital (Piraeus, Greece) in order to assess the activities of lifting, carrying, transporting, pushing and pulling of loads which are part of their daily work duties. The key requirement for the application was not only helping the risk assessment but also leading to targeted, easily applicable and low cost corrective measures. The results of this electronic tool application showed increased usability and benefits which were associated with the used database and the detailed information relatively to the corrective measures, such as training of the employees to change body posture, replacement of wheels on trolleys and redesigning of serving aisles which proved beneficial.

The use of renewable energy sources instead of conventional energy sources is at the core of policy actions to reduce dependency on fossil fuels worldwide. As a result, especially during the last decade, the cost of renewable energy has significantly decreased, enriching renewable energy cost-competitiveness. Due to the spatial nature of renewable energy sector-related decisions, the synergy of geographical information systems (GIS) and Multiple Criteria Decision Analysis (MCDA) models can enrich the quality of the related decisions given their ability to effectively support land management considerations. Moreover, their implementation significantly enriches the performance of the traditional capital projects evaluation methods (CPEM) by providing physical data to the sizing process in a quick and accurate manner. Thus, decision-making frameworks that combine GIS-based suitability analysis with traditional financial evaluation techniques can significantly enrich the planning phase to achieve efficient installations in terms of required area reduction, power generation maximization and local characteristics examination. With respect to the realization of wind energy exploitation projects, the paper at hand proposes a framework capable of expanding the use of the traditional GIS-based derived suitability index to establishing portfolios. Moreover, the proposed framework is enriched by robust analysis using Monte Carlo Simulation (MCS), which provides significant insights regarding the stability of the derived portfolios and the projects that they comprise. The proposed framework is illustrated through a case study in the Thrace region in northeastern Greece.

This paper presents the development of an operational forecasting service focusing on human-biometeorological conditions. The service is based on the coupling of numerical weather prediction models with an advanced human-biometeorological model. Human thermal perception and stress forecasts are issued on a daily basis for Greece, in both point and gridded format. A user-friendly presentation approach is adopted for communicating the forecasts to the public via the worldwide web. The development of the presented service highlights the feasibility of replacing standard meteorological parameters and/or indices used in operational weather forecasting activities for assessing the thermal environment. This is of particular significance for providing effective, human-biometeorology-oriented, warnings for both heat waves and cold outbreaks.

Summary Objectives: This paper aims to present an overview of the medical informatics landscape in Greece, to describe the Greek ehealth background and to highlight the main education and research axes in medical informatics, along with activities, achievements and pitfalls. Methods: With respect to research and education, formal and informal sources were investigated and information was collected and presented in a qualitative manner, including also quantitative indicators when possible. Results: Greece has adopted and applied medical informatics education in various ways, including undergraduate courses in health sciences schools as well as multidisciplinary postgraduate courses. There is a continuous research effort, and large participation in EU-wide initiatives, in all the spectrum of medical informatics research, with notable scientific contributions, although technology maturation is not without barriers. Wide-scale deployment of eHealth is anticipated in the healthcare system in the near future. While ePrescription deployment has been an important step, ICT for integrated care and telehealth have a lot of room for further deployment. Conclusions: Greece is a valuable contributor in the European medical informatics arena, and has the potential to offer more as long as the barriers of research and innovation fragmentation are addressed and alleviated.

Landscape metrics are commonly used indicators of ecological pattern and processes in ecological modelling. Numerous landscape metrics are available, making the selection of appropriate metrics a common challenge in model development. In this paper, we tested the performance of methods for preselecting sets of three landscape metrics for use in modelling species richness of six groups of organisms (woody plants, orchids, orthopterans, amphibians, reptiles, and small terrestrial birds) and overall species richness in a Mediterranean forest landscape. The tested methods included expert knowledge, decision tree analysis, principal component analysis, and principal component regression. They were compared with random choice and optimal sets, which were evaluated by testing all possible combinations of metrics. All pre-selection methods performed significantly worse than the optimal sets. The statistical approaches performed slightly better than random choice that in turn performed slightly better than sets derived by expert knowledge. We concluded that the process of selecting the most appropriate landscape metrics for modelling biodiversity is not trivial and that shortcuts to systematic evaluation of metrics should not be expected to identify appropriate indicators.

There is increasing recognition that performance evaluation of national as well as foreign public economic development programs should emphasize on their implementation rather than focus solely on their outcomes. This paper presents a framework for comparing the delivery or administrative efficiency of public spending programs at local level, based on a novel application of Data Envelopment Analysis (DEA). It is focused on the European Union context and specifically on the Greek LEADER operational program. The results of this application indicate that DEA, in contrast to traditional performance metrics, is an insightful tool in revealing administrative inefficiencies in program delivery by capturing the operational and scale components of performance while taking into account the complex mix of tasks and interventions carried out by its operators. The proposed technique may be easily integrated into a program evaluation scheme and may be utilized as a tool to support rational decision-making and program improvement.

IntroductionClinical trials generate a large volume of literature and a vast amount of data. Following the 'open science' model, data sharing has enormous potential to strengthen scientific research. Currently, to the best of our knowledge, there is no existing web based Hellenic biomedical registry that displays available patients for clinical trials, providing direct access to registered physicians to all data, assisting them in finding eligible patients in the initial clinical trial recruitment process.MethodsThis paper describes the design and virtual implementation of a web based prototype biomedical registry in Greece. The system represents an eGovernment framework proposal for the central storage of patients' biomedical information and the operations associated with this process. The increasing tendency to include molecular data as prerequisite elements in clinical trials is adopted in the registry philosophy. The designed system is based on free, open source software and it is implemented virtually on a local host environment.ResultsUsing colorectal cancer as an example, valid data from patients increases the reliability index, demonstrating the functionality of the web application.ConclusionIn conclusion, the combination of biomedical data and information technology in order to display potential participants per health unit, facilitates recruitment for clinical trials.

Considerable efforts have been made from researchers and policy makers in order to explain road crash occurrence and improve road safety performance of highways. However, there are cases when crashes are so few that they could be considered as rare events. In such cases, the binary dependent variable is characterized by dozens to thousands of times fewer events (crashes) than non-events (non-crashes). This paper attempts to add to the current knowledge by investigating crash likelihood by utilizing real-time traffic data and by proposing a framework driven by appropriate statistical models (Bias Correction and Firth method) in order to overcome the problems that arise when the number of crashes is very low. Under this approach instead of using traditional logistic regression methods, crashes are considered as rare events In order to demonstrate this approach, traffic data were collected from three random loop detectors in the Attica Tollway ("Attiki Odos") located in Greater Athens Area in Greece for the 2008-2011 period. The traffic dataset consists of hourly aggregated traffic data such as flow, occupancy, mean time speed and percentage of trucks in traffic. This study demonstrates the application and findings of our approach and revealed a negative relationship between crash occurrence and speed in crash locations. The method and findings of the study attempt to provide insights on the mechanism of crash occurrence and also to overcome data considerations for the first time in safety evaluation of motorways.

Introduction The effective treatment of road accidents and thus the enhancement of road safety is a major concern to societies due to the losses in human lives and the economic and social costs. The investigation of road accident likelihood and severity by utilizing real-time traffic and weather data has recently received significant attention by researchers. However, collected data mainly stem from freeways and expressways. Consequently, the aim of the present paper is to add to the current knowledge by investigating accident likelihood and severity by exploiting real-time traffic and weather data collected from urban arterials in Athens, Greece. Method Random Forests (RF) are firstly applied for preliminary analysis purposes. More specifically, it is aimed to rank candidate variables according to their relevant importance and provide a first insight on the potential significant variables. Then, Bayesian logistic regression as well finite mixture and mixed effects logit models are applied to further explore factors associated with accident likelihood and severity respectively. Results Regarding accident likelihood, the Bayesian logistic regression showed that variations in traffic significantly influence accident occurrence. On the other hand, accident severity analysis revealed a generally mixed influence of traffic variations on accident severity, although international literature states that traffic variations increase severity. Lastly, weather parameters did not find to have a direct influence on accident likelihood or severity. Conclusions The study added to the current knowledge by incorporating real-time traffic and weather data from urban arterials to investigate accident occurrence and accident severity mechanisms. Practical application The identification of risk factors can lead to the development of effective traffic management strategies to reduce accident occurrence and severity of injuries in urban arterials.

Technological developments and governments’ understanding of what citizens need usually determine the design of public online services. For successful implementation of e-Government services, governments have to place the user in the center of future developments, understand what citizens need and measure what increases citizens’ willingness to adopt e-government services. The paper uses the Technology Acceptance Model (TAM), the extended TAM, the Diffusion of Innovations (DOI) theory and the important determinants of user acceptance perceived risk and trust, in order to describe teachers’ behavioral intensions to adopt e-Government services. A model containing trust and risk, along with cognitive, social and intrinsic factors is used to study the intentions of e-Government use by Greek primary and secondary education teachers. Two hundred and thirty teachers responded to an online survey. Findings reveal that cognitive and intrinsic factors have significant effects on intentions to use e-Government websites.

This paper investigates the properties of central or core political blogs. They can be located as clusters of blogs whose members have many incoming links. Other blogs form clouds around them in the sense that they link the core blogs. A case study records Greek political blogs and their incoming links reported through their blogrolls. The adjacency matrix from the blogs’ social network is analyzed and clusters are located. Three of them, those with the larger numbers of incoming links, may be considered to be central. Next, four measures of influence are used to test the influence of the central blogs. The findings suggest that there are many kinds of central blogs, influential and non-influential, and high influence does not always involve high hyperlinking.

PurposeThe aim of this work is to evaluate Greek newspaper websites using clustering and a number of criteria obtained from the Alexa search engine. Furthermore, a recommendation approach is proposed for matching Greek online newspapers with the profiles of potential readers. The paper presents the implementation and validation of a recommender tool that suggests to a user (based on age, education and income) an optional Greek newspaper's website to read.Design/methodology/approachA total of 25 newspaper websites were selected from the Greek information bank http://edoellada.gr. After investigating these websites one by one, this number was decreased to 16 websites due to their printing prevention, cessation or no coverage by Alexa.FindingsBased on data obtained from Alexa, the Naftemporiki newspaper has the highest traffic rank and the Eleftherotypia newspaper the largest number of links among others. The Macedonia newspaper has the largest number of foreign users. The results of the study also show that most newspaper websites' visitors come from the UK. The expectation‐maximisation (EM) clustering algorithm classifies the 16 websites into two groups based on some common characteristics.Research limitations/implicationsThe proposed recommendation approach is generic because it can be applied as a recommendation solution on various types of website, such as educational or commercial. However, slight adjustments are needed depending on the nature of recommending websites.Practical implicationsA website administrator of an online newspaper can adapt the newspaper's features such as content and layout according to the prevailing user profile of the online newspaper. For example, a website administrator of an online newspaper whose dominant user education is “no‐college” should enable the writing style of this newspaper in a more naive way. The administrator can also add advertisements that are more suitable to readers aged between 35 and 55 years, if the most frequent age of users of this online newspaper is between 35 and 55.Originality/valueThe results of this research will be important not only to administrators of Greek newspaper websites but also to anyone with a need to increase the usage of a website.

Objective: This paper proposes a novel approach for thyroid ultrasound pattern representation. Considering that texture and echogenicity are correlated with thyroid malignancy, the proposed approach encodes these sonographic features via a noise-resistant representation. This representation is suitable for the discrimination of nodules of high malignancy risk from normal thyroid parenchyma. Materials and methods: The material used in this study includes a total of 250 thyroid ultrasound patterns obtained from 75 patients in Greece. The patterns are represented by fused vectors of fuzzy features. Ultrasound texture is represented by fuzzy local binary patterns, whereas echogenicity is represented by fuzzy intensity histograms. The encoded thyroid ultrasound patterns are discriminated by support vector classifiers. Results: The proposed approach was comprehensively evaluated using receiver operating characteristics (ROCs). The results show that the proposed fusion scheme outperforms previous thyroid ultrasound pattern representation methods proposed in the literature. The best classification accuracy was obtained with a polynomial kernel support vector machine, and reached 97.5% as estimated by the area under the ROC curve. Conclusions: The fusion of fuzzy local binary patterns and fuzzy grey-level histogram features is more effective than the state of the art approaches for the representation of thyroid ultrasound patterns and can be effectively utilized for the detection of nodules of high malignancy risk in the context of an intelligent medical system.

Biomedical literature databases constitute valuable repositories of up to date scientific knowledge. The development of efficient machine learning methods in order to facilitate the organization of these databases and the extraction of novel biomedical knowledge is becoming increasingly important. Several of these methods require the representation of the documents as vectors of variables forming large multivariate datasets. Since the amount of information contained in different datasets is voluminous, an open issue is to combine information gained from various sources to a concise new dataset, which will efficiently represent the corpus of documents. This paper investigates the use of the multivariate statistical approach, called Non-Linear Canonical Correlation Analysis (NLCCA), for exploiting the correlation among the variables of different document representations and describing the documents with only one new dataset. Experiments with document datasets represented by text words, Medical Subject Headings (MeSH) and Gene Ontology (GO) terms showed the effectiveness of NLCCA.

Efficient access to a citizen's Integrated Electronic Health Record (I-EHR) is considered to be the cornerstone for the support of continuity of care, the reduction of avoidable mistakes, and the provision of tools and methods to support evidence-based medicine. For the past several years, a number of applications and services (including a lifelong I-EHR) have been installed, and enterprise and regional infrastructure has been developed, in HYGEIAnet, the Regional Health Information Network (RHIN) of the island of Crete, Greece. Through this paper, the technological effort toward the delivery of a lifelong I-EHR by means of World Wide Web Consortium (W3C) technologies, on top of a service-oriented architecture that reuses already existing middleware components is presented and critical issues are discussed. Certain design and development decisions are exposed and explained, laying this way the ground for coordinated, dynamic navigation to personalized healthcare delivery.

In this paper, an ontology-based system (KnowBaSICS-M) is presented for the semantic management of Medical Computational Problems (MCPs), i.e., medical problems and computerised algorithmic solutions. The system provides an open environment, which: (1) allows clinicians and researchers to retrieve potential algorithmic solutions pertinent to a medical problem and (2) enables incorporation of new MCPs into its underlying Knowledge Base (KB). KnowBaSICS-M is a modular system for MCP acquisition and discovery that relies on an innovative ontology-based model incorporating concepts from the Unified Medical Language System (UMLS). Information retrieval (IR) is based on an ontology-based Vector Space Model (VSM) that estimates the similarity among user-defined MCP search criteria and registered MCP solutions in the KB. The results of a preliminary evaluation and specific examples of use are presented to illustrate the benefits of the system. KnowBaSICS-M constitutes an approach towards the construction of an integrated and manageable MCP repository for the biomedical research community.

In this paper, an original general methodology is introduced to establish whether a handmade shape corresponds to a given geometrical prototype. Using this methodology, one can decide if an artist had the intention of drawing a specific mathematical prototype or not. This analysis is applied to the 1650 B.C. wall paintings from the prehistoric settlement on Thera, and inferences of great archaeological and historical importance are made. In particular, strong evidence is obtained suggesting that the spirals depicted on the wall paintings correspond to linear (Archimedes) spirals, certain shapes correspond to canonical 48-gon and 32-gon, while other shapes correspond to parts of ellipses. It seems that the presented wall paintings constitute the earliest archaeological findings on which these geometrical patterns appear with such remarkable accuracy.

PurposeAims to present the authors' efforts towards the development of a digital library environment supporting research at the Medical School of Athens University, Greece.Design/methodology/approachThe digital library facilitates access to medical material produced by laboratories for both research and educational purposes. As the material produced varies (regarding its type and structure) and the search requirements imposed by potential users differ, each laboratory develops its own collection. All collections must be bilingual, supporting both Greek and English. Extended requirements were imposed regarding the services offered by the digital library environment, due to the following reasons: end‐users actively participate in the cataloguing workflow; cataloguers should be able to create and manage multiple collections in a simplified manner; and different search requirements must be supported for different user groups. To formulate and then deal with these requirements, the authors introduced the term “dynamic collection management” denoting automated collection definition and unified collection management within an integrated digital library environment. Digital library components providing the desired functionality and the interaction between them are described. System performance, especially during collection search, and bilingual support are also explored.FindingsFinds that Athens Medical School Digital Library facilitates access to medical material to researchers and students for both research and educational purposes.Originality/valueThe paper provides useful information on a digital library environment which supports research.

Emergency healthcare delivery involves a variety of interrelated activities performed from the time of a call to the ambulance service until the time of patient's exit from the emergency department of a hospital. As these activities can be viewed as parts of inter-organizational healthcare processes that involve at least two organizations (e.g. an ambulance service and a hospital), there is a need to provide the appropriate technological infrastructure for automating and managing these processes even in cases where the organizations involved use heterogeneous systems to support their internal services. Web-based workflow systems in conjunction with web services present a new way for service-oriented integration (SOI) of disparate systems and for developing distributed applications within and between organizations. Thus, process automation with the use of web services can provide an appropriate infrastructure for the integration of pre-hospital and in-hospital emergency healthcare. A prototype development of such a system is presented in this paper.