KNOWLEDGE MANAGEMENT IN HIGHER EDUCATION – AN ONTOLOGICAL APPROACH IN COLLABORATIVE ENVIRONMENTS

The paper presents an ontology-based knowledge management system developed for a Romanian university. The university used a classic Management Information System (MIS), which was the starting point for developing the knowledge management system. The developed knowledge management system has a general ontology, containing terms which are valid for a public institution, and specific ontology for two process categories, didactic and research process. The ontology is implemented using Protege. The results are very encouraging and suggest several future developments.business intelligence, knowledge management, ontology, university

DATA MINING LANGUAGES STANDARDS

The increasing of the database dimension creates many problems, especially when we need to access, use and analyze data. The data overflow phenomenon in database environments imposes the application of different data mining methods, in order to find relevant information from large databases. A lot of data mining tools emerged in the last years. The standardization of data mining languages become in the last years a very important topic. The paper presents Predictive Model Markup Language (PMML) standards from the Data Mining Group. PMML, a standard language for defining data mining models, which allows users to develop models within one vendor's application, and use other vendors' applications to visualize, analyze, evaluate or otherwise use the models.

Photoacoustic Neuroimaging - Perspectives on a Maturing Imaging Technique and its Applications in Neuroscience

A prominent goal of neuroscience is to improve our understanding of how brain structure and activity interact to produce perception, emotion, behavior, and cognition. The brain’s network activity is inherently organized in distinct spatiotemporal patterns that span scales from nanometer-sized synapses to meter-long nerve fibers and millisecond intervals between electrical signals to decades of memory storage. There is currently no single imaging method that alone can provide all the relevant information, but intelligent combinations of complementary techniques can be effective. Here, we thus present the latest advances in biomedical and biological engineering on photoacoustic neuroimaging in the context of complementary imaging techniques. A particular focus is placed on recent advances in whole-brain photoacoustic imaging in rodent models and its influential role in bridging the gap between fluorescence microscopy and more non-invasive techniques such as magnetic resonance imaging (MRI). We consider current strategies to address persistent challenges, particularly in developing molecular contrast agents, and conclude with an overview of potential future directions for photoacoustic neuroimaging to provide deeper insights into healthy and pathological brain processes

Magnetic properties of Fe arborescences grown by electrodeposition

International audienceMagnetization measurements were performed on Fe arborescent aggregates grown by electrodeposition. ‘Sparse' arborescences with few thick branches and ‘dense' arborescences with many thin branches can be generated. A change in the magnetic behavior is observed in connection with these morphologies. Sparse arborescences show a soft magnetism not too different from that of bulk Fe. Dense arborescences show a behavior akin to that of ‘fine grains': a remanent magnetization about half of the saturation and a coercive field of about 0.1 T are measured at low temperature. On increasing the temperature, a superparamagnetic contribution is detected up to room temperature

Metabolic Signatures: Pioneering the Frontier of Rectal Cancer Diagnosis and Response to Neoadjuvant Treatment with Biomarkers—A Systematic Review

Colorectal cancer (CRC) is one of the most aggressive, heterogenous, and fatal types of human cancer for which screening, and more effective therapeutic drugs are urgently needed. Early-stage detection and treatment greatly improve the 5-year survival rate. In the era of targeted therapies for all types of cancer, a complete metabolomic profile is mandatory before neoadjuvant therapy to assign the correct drugs and check the response to the treatment given. The aim of this study is to discover specific metabolic biomarkers or a sequence of metabolomic indicators that possess precise diagnostic capabilities in predicting the efficacy of neoadjuvant therapy. After searching the keywords, a total of 108 articles were identified during a timeframe of 10 years (2013–2023). Within this set, one article was excluded due to the use of non-English language. Six scientific papers were qualified for this investigation after eliminating all duplicates, publications not referring to the subject matter, open access restriction papers, and those not applicable to humans. Biomolecular analysis found a correlation between metabolomic analysis of colorectal cancer samples and poor progression-free survival rates. Biomarkers are instrumental in predicting a patient’s response to specific treatments, guiding the selection of targeted therapies, and indicating resistance to certain drugs