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The development of decision-assisting tools for use in forestry operations has the potential to improve the adherence to forest management best practices, which could benefit biodiversity and increase the economic efficiency of the forest industry. NFA Forestry Automation AB is developing a system that leverages information about the forest environment extracted from data collected with harvester-

Sialic acids are nine-carbon carbohydrates that are present and essential in nearly all mammalian cells. Sialic acids have many functions such as molecular recognition, cell adhesion, and markers for pathogens. Some pathogens can take advantage of mammalian sialic acids and disguise themselves as host cells in a phenomenon that is called pathogenic mimicry. By doing this, the bacteria and virus in

Kanari Domna Mining geosocial data from Flickr to explore tourism patterns: The case study of Athens Social media are providing a new type of geo-tagged data that by processing them, new types of knowledge can be generated and used by decision-makers in different areas including tourism. It includes e.g., identifying touristic areas that are not prioritized or advertised by touristic authorities

Background and Objective: Analysis of motor unit activity is important for assessing and treating diseases or injuries affecting natural movement. State-of-the-art decomposition translates high-density surface electromyography (HDsEMG) into motor unit activity. However, current decomposition methods offer far from complete separation of all motor units. Methods: This paper proposes a peel-off appr

Advancements in today's technology has motivated invention of faster mobile communication systems. The fifth generation mobile network, 5G, is the latest version made by the third generation partnership project (3GPP) and expects to both increase connection speed and reduce latency, which eventually will make it applicable in supporting state-of-the art technologies such as virtual reality and

Extracting information about emerging events in large study areas through spatiotemporal and textual analysis of geotagged tweets provides the possibility of monitoring the current state of a disaster. This study proposes dynamic spatio-temporal tweet mining as a method for dynamic event extraction from geotagged tweets in large study areas. It introduces the use of a modified version of ordering

Nanoplastics are defined as plastic particles broken down to extremely small sizes (1–100 nm) with unknown effects to the human body and immune system. Air and food exposure scenarios involving blood, lungs and intestine are considered in the literature. The fact that plastics also needs to pass the nose, oral cavity, and throat is so far ignored in the literature. The tonsils are immunologically

The epidemic potential of Chikungunya virus (CHIKV) was recently made evident by its introduction and rapid expansion in the Caribbean and the Americas. We sought to gain a detailed understanding of the dynamics of the epidemic in Mexico, the country with the highest number of confirmed CHIKV cases in the Americas, and to characterise viral evolution at the population and intra-host level. Analysi

The non-coding genome, constituting 98% of human DNA, remains largely unexplored, yet holds potential for identifying new biomarkers and therapeutic targets in acute lymphoblastic leukemia (ALL). In this study, we conducted a systematic analysis of recurrent somatic non-coding single nucleotide variants (SNVs) in pediatric B-cell precursor (BCP) ALL. We leveraged whole genome sequencing (WGS) data

Non-structural protein 3 (Nsp3) is the largest protein encoded by the coronavirus (CoV) genome. It consists of multiple domains that perform critical functions during the viral life cycle. CoV-Y is the most C-terminal domain of Nsp3, and it exhibits evolutionary conservation across diverse CoVs; however, the exact biological function of CoV-Y remains unclear. Here, we determined the crystal struct