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Bioinformatics in Communicable Diseases – The Way Forward.

Hitting the Bull's Eye with Biopharmaceuticals.

Silkworms Give Spider Silk New Spin.

ÄKTA Avant: Icon of Process Development.

JEM-2100 — The Nanoanalysis Expert.

BG Medicine announces agreement with Kindstar Diagnostics which will provide Galectin-3 testing services in China.

MicuRx lands $9.6 Million to fund China trials of antibiotic.

AstraZeneca and Ironwood announce linaclotide collaboration for China.

BGI-Shenzhen extends tender offer for Complete Genomics, Inc.

China Cord Blood Corporation continues share repurchase program.

NCKU, Science Park join hands to boost academia-industry collaboration.

Pharmaron forms strategic partnership with AstraZeneca to accelerate drug discovery.

Regulatory mechanisms of an acid-activated type VI secretion system in Agrobacterium tumefaciens.

Seasonal plasticity of peripheral auditory sensitivity associated with vocal communication in frog.

Malaysian Bio-XCell Sdn Bhd seals a deal exceeding US$35 (~RM107m) with Agila Biotech Sdn Bhd during BioPharma Asia 2013.

Nagasaki University and Astellas launch collaborative research for screening new anti-dengue virus drugs for neglected tropical diseases.

Eurofins collaborates with AB SCIEX and Phenomenex to improve analysis of animal feed.

Biolife Science $5m ASX listing to progress stomach & breast cancer vaccine.

Naz Haji appointed Chief Information Officer, Quintiles Asia markets.

Roche and BioLamina start collaboration to develop novel cell culture systems.

The research topic addressed in this study concern the application of knowledge management systems (KMSs) in higher education institutions. While, in the first part of this work, a theoretical model of KMS was proposed, in this second part an empirical study is conducted to test this model. The proposed model has three main elements: inputs (different types of knowledge), process (the four functions: acquire, capitalise, disseminate and use) and outputs (the three performance perspectives: customer satisfaction, operational excellence and direction of the product). On the basis of a functional analysis we propose hypotheses, which allow us to study the relations of cause and effect between knowledge management (KM) and the performance of the university. The model is tested by surveys to be carried out in some Algerian universities by the students. After, a complete analysis (descriptive, exploratory (EFA), confirmatory (CFA), correlation, regression and finally SEM) of the data obtained by the completed questionnaires, the results permit to provide empirical evidence for some of the proposed hypotheses and confirm that KM has a positive effect on performance. A high intensity of KM activities has a significant positive influence, directly or indirectly, on university performance. The results of this empirical study indicate that policies encouraging (1) interactions between different actors, and (2) student participation in decision-making for the development of new programs/courses would increase student satisfaction and ensure pedagogical, management and openness excellence that ultimately contribute to performance of the university. Furthermore, KM must be programmed as part of the holistic management process of the university, and the activities of KM should therefore be managed in the same way as other university processes.

This study concerns the application of knowledge management systems (KMS) in higher education institutions in Algeria. In the first part of this work, a theoretical model of KMS was proposed, whereas in the second part, the model was tested by surveys carried out by students in the Algerian university. This paper, as a third part, presents the data processing process of the questionnaire for the “teacher” actor. The proposed model has three main elements: inputs (different types of knowledge), processes (the four functions: acquire, capitalise, disseminate and use) and results (the three performance perspectives: customer satisfaction, operational excellence and direction of product). Based on a functional analysis, we propose hypotheses to study the cause-and-effect relationships between knowledge management (KM) and the performance of the university. After a complete analysis (descriptive, exploratory (EFA), confirmatory (CFA), correlation, regression and finally SEM) of the data obtained by completed questionnaires, the results provide empirical evidence for some of the proposed hypotheses and confirm that KM has a positive effect on performance. A high intensity of KM activities has a significant positive influence, directly or indirectly, on university performance. The results of this empirical study indicate that policies that encourage interactions between the teacher and administration or with foreign teachers would increase teacher satisfaction and ensure pedagogical excellence, management and openness that ultimately contribute to the performance of the university. In contrast, the results also show that the university should have a specific policy concerning academic and especially technical knowledge. Teaching materials and practices, the knowledge of the teaching act and the technological infrastructure are indicators according to the opinion of teachers, which may not have a significant effect in improving the performance of the university.

The aim of this paper is to investigate the most relevant conceptualizations of innovation taken into account by scholars, and the linkages among them. Over time, the increasing interest in this area has involved a great variety of actors and contexts in establishing the definition of different innovation labels; we chose to focus the analysis on “system innovation”, “network innovation” and “ecosystem innovation”. In order to observe the most relevant elements of each research stream and common aspects, a two-step analysis of literature contributions has been performed through a bibliometric analysis comparing the evidence emerging from one survey of keywords provided by authors and a second of keywords provided by editors. Through this kind of investigation the editors’ keywords emerged as more objective, but nevertheless, by considering some of the different evidences obtained from the keywords provided by authors, the two-step analysis is useful to provide more complete results.

In recent years, there has been a growing debate on the contributions to innovation contexts. This research aims to analyze the differences emerging from the conceptualization of contexts in the “innovation ecosystem” (IE) and its linkages to the innovation system (IS) and network concepts and depict the current research trends in innovation and their expected evolution.

Our methodological choice is a bibliometric analysis as it allows us to review and focus on the theoretical proposals by the scholars in detail. The research process has been conducted through a co-word analysis on the authors’ keywords as this approach is considered to be the most suitable to compare the dynamics of different research trends on a specific topic. The analysis was performed in two steps: the first based on all the research papers collected and the second based on a sub-dataset extrapolated from the main datasets on IS and innovation network (IN) literatures.

The results demonstrate that both IS and IN research streams are, in some ways, connected with the IE perspective. The definitions and concepts used in the IS and IN literatures have been identified as replicated in the ecosystem approach even if specific insights have been generated.

Smart wearable is expected to give the elderly more peace of mind and experience in a comfortable home environment. This not only satisfies their desire to live relatively independently, but also avoids the waste of resources caused by the lack of timely detection and feedback of aging and health problems, and contributes to the sustainable development of society. In order to meet the current demand for high development of smart wearable products for the elderly at home, and to lay out the limited design resources on the key design factors so as to enhance the consumer experience, a design element system is constructed from a sustainable perspective. The textual measures of academic literature and product evaluations are used to analyze the relevant theoretical foundations and the current state of the market category products. Based on this, the user’s needs at the instinctive, behavioral and reflective levels are captured through expert panel interviews, and the initial requirement importance is calculated. The QFD quality house model is used to translate the needs into design factors and score them based on the relationship degree of the needs, and finally construct the design factor system of smart wearable for the elderly at home in a sustainable perspective.

The aim of this chapter is to apply Systems Theory – Systems Science – to Ontologies. The subject matter is given a modern context. The chapter contains a brief description of Systems Theory, which today has become what is known as Systems Science. Subsequently, Systems Science and systems are defined, as well as the links that are responsible for the correct function of a system, known as vectors. Ontologies will be discussed, along with their various definitions and characteristics. This chapter will be based on the premise that Ontology is a complex, conceptual, empirical classification system. An Ontology is structured like a system in which the principal and primary node is the word. A summary will be made of how this system should be constructed, concentrating on the vectors that help the system function. This will be illustrated with an example.