Climate change poses a major challenge to humanity, especially in its impact on agriculture, that responsible AI should meet. In this paper, we examine CBR system (PBI-CBR) designed aid sustainable dairy farming by supporting grassland management, through accurate crop growth prediction. As climate changes, PBI-CBR’s historical cases become less useful predicting future grass growth. Hence, ext...

This study was aimed at assessing the role of carotid body function in neuroendocrine and glucoregulatory responses to exercise. The carotid bodies and associated nerves were removed (CBR, n = 6) or left intact (Sham, n = 6) in anesthetized dogs >16 days before experiments, and infusion and sampling catheters were implanted. Conscious dogs were studied at rest and during 150 min of exercise. Is...

We present data from antimicrobial assays performed in vitro that pertain to the potential clinical utility of a novel rifamycin-quinolone hybrid antibiotic, CBR-2092, for the treatment of infections mediated by gram-positive cocci. The MIC(90)s for CBR-2092 against 300 clinical isolates of staphylococci and streptococci ranged from 0.008 to 0.5 mug/ml. Against Staphylococcus aureus, CBR-2092 e...

Accurate (∼ 1%) predictions for the anisotropy of the Cosmic Background Radiation (CBR) are essential for using future high-resolution (∼ 1) CBR maps to test cosmological models. In many inflationary models the variation (“running”) of the spectral index of the spectrum of density perturbations is a significant effect and leads to changes of around 1% to 10% in the CBR power spectrum. We propos...

This commentary briefly reviews work on the application of case-based reasoning (CBR) to the design and construction of educational approaches and computer-based teaching systems. The CBR cognitive model is at the core of constructivist learning approaches such as Goal-Based Scenarios and Learning by Design. Case libraries can play roles as intelligent resources while learning and frameworks fo...

In this paper, we present an approach to solve the drawbacks of manual composition of software components. Our approach is applied within the jCOLIBRI framework for building case-based reasoning (CBR) applications. We propose a system design process based on reusing templates obtained from previously designed CBR systems. Templates store the control flow of the CBR applications and include sema...

Unbound aggregates are the most common type of materials used for construction of the base layer of flexible pavements in Iran and worldwide. Due to the lack of binder, the performance of the compacted unbound aggregates is highly dependent on the properties of the gravel (particles remaining on sieve 4.75mm, sand (particles passing sieve 4.75mm and remaining on sieve 0....

In many domains Case-based Reasoning (CBR) has become a successful technique for knowledge-based systems. In medical domains, attempts to apply the complete CBR cycle are rather exceptional. Some systems have recently been developed, which on the one hand use only parts of the CBR method, mainly the retrieval, and on the other hand enrich the method by a generalisation step to fill the knowledg...

Case-based reasoning (CBR) is an approach to problem solving that emphasizes the role of prior experience during future problem solving (i.e., new problems are solved by reusing and if necessary adapting the solutions to similar problems that were solved in the past). It has enjoyed considerable success in a wide variety of problem solving tasks and domains. Following a brief overview of the tr...