Research Papers
Adaptive Methods for Video Denoising Based on the ICI, FICI, and RICI Algorithms
In various applications, reducing noise from video sequence is of crucial importance. In this paper, we have presented performance analysis of the novel video denoising method based on the relative intersection of confidence intervals (RICI) rule, and compared it to the methods based on the intersection of confidence intervals (ICI) rule and the fast ICI […]
Sharing Economy and Workers’ Protection
The creation of the single market in the European Union is a continuing commitment. The European Commission published a series of documents in order to facilitate its accomplishment. In the Single Market Strategy and the Digital Single Market Strategy actions are focused on different levels. One of the targeted measures concerns creating additional opportunities for […]
New approach to flap-type wavemaker equation with wave breaking limit
The limitations of the classical wavemaker theory motivated the development of a new equation that can directly predict both regular and broken waves based on the flap-type wavemaker setup. This is achieved first by coupling a commonly accepted wave breaking formula with the linear wavemaker equation. Both these equations were then rewritten in terms of […]
An Adaptive Method Based on the Improved LPA-ICI Algorithm for MRI Enhancement
Various diseases are diagnosed using medical imaging used for analysing internal anatomical structures. However, medical images are susceptible to noise introduced in both acquisition and transmission processes. We propose an adaptive data-driven image denoising algorithm based on an improvement of the intersection of confidence intervals (ICI), called relative ICI (RICI) algorithm. The 2D mask of […]
MSK1 regulates luminal cell differentiation and metastatic dormancy in ER+ breast cancer
For many patients with breast cancer, symptomatic bone metastases appear after years of latency. How micrometastatic lesions remain dormant and undetectable before initiating colonization is unclear. Here, we describe a mechanism involved in bone metastatic latency of oestrogen receptor-positive (ER+) breast cancer. Using an in vivo genome-wide short hairpin RNA screening, we identified the kinase […]
VHF Maritime Mobile Band – A New System to Declutter AIS Channels
The latest World Radiocommunication Conference (WRC) was held in Geneva from the 2nd to 27th November 2015. One of its results is the revision of the Radio Regulations’ Appendix 18 in order to improve the efficiency and reallocate one part of the Very High Frequency (VHF) maritime mobile spectrum for new digital technologies. This revision […]
Evaluation of Language Models over Croatian Newspaper Texts
Statistical language modeling involves techniques and procedures that assign probabilities to word sequences or, said in other words, estimate the regularity of the language. This paper presents basic characteristics of statistical language models, reviews their use in the large set of speech and language applications, explains their formal definition and shows different types of language […]
Cell-penetrating peptides: Design strategies beyond primary structure and amphipathicity
Efficient intracellular drug delivery and target specificity are often hampered by the presence of biological barriers. Thus, compounds that efficiently cross cell membranes are the key to improving the therapeutic value and on-target specificity of non-permeable drugs. The discovery of cell-penetrating peptides (CPPs) and the early design approaches through mimicking the natural penetration domains used […]
Mirroring Quasi-Symmetric Organ Observations for Reducing Problem Complexity
Following an obvious growth of available collections of medical images in recent years, both in number and in size, machine learning has nowadays become an important tool for solving various image-analysis-related problems, such as organ segmentation or injury/pathology detection. The potential of learning algorithms to produce models having good generalisation properties is highly dependent on […]