random regression models (rrm) are used for genetic estimations of milk traits in dairy cows. rrm utilize data on traits that are repeated during the time, such as milk trait, which allows of the evaluation of the test day production information. in this study, to estimate genetic parameters for milk production trait, test day records (tdr) were collected from the first lactation of holstein co...

This paper presents an overview of the Radio Resource Management (RRM) functionalities needed for Non-Conventional and Low-Cost Networks. These types of networks are characterized by increased cooperation between different types of networks and providers and they are believed to play a fundamental role for future wireless network networking. The paper describes three specific concepts, which la...

The RNA recognition motif (RRM) is the largest family of eukaryotic RNA-binding proteins. Engineered RRMs with well-defined specificity would provide valuable tools and an exacting test of the current understanding of specificity. We have redesigned the specificity of an RRM using rational methods and demonstrated retargeting of its activity in cells. We engineered the conserved RRM of human Rb...

Regulation of gene expression at the post-transcriptional level is mainly achieved by proteins containing well-defined sequence motifs involved in RNA binding. The most widely spread motifs are the RNA recognition motif (RRM) and the K homology (KH) domain. In this article, we survey the complete Arabidopsis thaliana genome for proteins containing RRM and KH RNA-binding domains. The Arabidopsis...

A multi-function radar is designed to perform disparate functions, such as surveillance, tracking, fire control, amongst others, within a limited resource (time, frequency, and energy) budget. management (RRM) module system makes decisions on prioritisation, parameter selection, scheduling of associated tasks. However, optimal RRM algorithms are generally computationally complex operational rad...

In this article, internet of things (IoT) connectivity in rural areas is investigated. Both fronthaul and backhaul considerations are studied. First, intelligent radio resource management (RRM) network planning techniques discussed for IoT access/fronthaul networks. The proposed RRM scheduling approach was shown to lead good performance devices. Then, several backhauling providing investigated ...

RNA-binding protein with multiple splicing (designated RBPMS) is a higher vertebrate mRNA-binding protein containing a single RNA recognition motif (RRM). RBPMS has been shown to be involved in mRNA transport, localization and stability, with key roles in axon guidance, smooth muscle plasticity, as well as regulation of cancer cell proliferation and migration. We report on structure-function st...

The Resonant Recognition Model (RRM) is a physico-mathematical model developed for analysis of protein and DNA sequences. Biological function of proteins and their 3D structures are determined by the linear sequences of amino acids. Previously, the electronion interaction potentials (EIIP) of amino acids have been used to determine the characteristic patterns of different proteins independent o...

RRM algorithms are an essential part of end-to-end QoS provision in Ad Hoc networks. Judicious application of RRM algorithms, such as scheduling and admission control can be used to complement IP QoS strategies to provide an integrated QoS solution for Ad Hoc networks.

In vertebrates, smooth muscle cells (SMCs) can reversibly switch between contractile and proliferative phenotypes. This involves various molecular mechanisms to reactivate developmental signaling pathways and induce cell dedifferentiation. The protein RBPMS2 regulates early development and plasticity of digestive SMCs by inhibiting the bone morphogenetic protein pathway through its interaction ...