Drying as a basic scientific phenomenon has been intensively investigated but limited for specific and real running stenter. Authors approach was to apply scientific methods to investigate real machine performance. This work investigates phenomenon of textile drying under specific technological conditions. Temperature inside the machine chamber has been scientifically proven as a parameter that significantly correlates to energy consumption. Research on such large systems and machines is too expensive and the investigation must involve the digitalization of process by modern computational methods. Previous experimental investigation and 2D numerical simulation of the machine have been used as base for extended investigation with 3D numerical model and appropriate simulation. Goal is to understand temperature and density distribution inside the textile dried in a stenter chamber with simulation under real value parameters.

The aim of this article is to determine the contamination influence on the parameters of gas flow through multihole orifice (MHO) meter. The numerical investigations of the contamination influence for the MHO flow meters have not been reported in the previous researches. The air flow was steady, 3-D, and turbulent. The finite volume method was used for the purpose of numerical analyses. The main considered physical properties of air were density and dynamic viscosity. The standard $k-\varepsilon $ turbulence model was used. MHO meter with two different $\beta $ parameters was observed. Also, the influence of contamination formed in front of the MHO meter with the same $\beta $ parameters was analyzed. In order to qualitatively analyze the influence of the contamination, the 15 different combinations of contamination parameters for seven different Reynolds numbers were analyzed. The pressure drop, singular pressure loss coefficient, and discharge coefficient were analyzed. The grid sensitivity study was performed on four systematically refined numerical grids for MHO meter without contamination and the results were compared with the experimental results found in the literature. Also, the grid refinement was done for MHO meter with contamination for two different values of Reynolds number. It was found that for the same values of contamination angle, regardless of the contamination parameters ratio, the results were unchanged. Also, it was found that the contamination has an influence on the change of pressure drop values, which directly affects the change of other parameters. Pressure drop and singular pressure loss coefficient of the orifice with contamination are smaller compared to the values for a pure orifice, whereby the measurement accuracy was reduced. Also, for cases of contamination, the discharge coefficient was increased, leading to a negative measurement error. It was found that the same trend occurs regardless of the Reynolds number. It was found that the MHO meter was less sensitive to the pressure drop changes due to the increase of contamination angle in regard to the single-hole orifice meters.

Heart failure is a leading cause of morbidity and mortality. Around 4% of patients with heart failure carry a pathogenic genetic aberration that causes cardiomyopathy and subsequently leads to heart failure. There are five types of primary genetic cardiomyopathies that can give rise to heart failure: hypertrophic cardiomyopathy (HCM), dilated cardiomyopathy, arrhythmogenic cardiomyopathy (ACM), restrictive cardiomyopathy (RCM), and left ventricular noncompaction (LVNC). If genetic cardiomyopathy is suspected, genomic/genetic testing is recommended because it provides the underlying cause for the diagnosis, prognostic parameters, and possibility to test family members at risk. Testing should be conducted as part of a multidisciplinary approach by a team of adult or paediatric cardiologists, geneticists, and genetic counsellors. Here we will discuss 1) different genomic testing approaches and the management of variants of uncertain significance, 2) management of patients with suspected genetic cardiomyopathy in a multidisciplinary team, and 3) the associations between genotypes and phenotypes of most commonly mutated genes such as MYH7, TNNT2, TPM1, MYBPC3, TTN, and others. In conclusion, genetic testing of patients with cardiomyopathies helps with proper diagnosis, prognosis, treatment, and identification of relatives at risk.

Recent studies on the heritability of methylation patterns in tumor cells, suggest that tumor heterogeneity and progression can be studied through methylation changes. To elucidate methylation-based evolution trajectories in tumors, we introduce a novel computational framework for methylation phylogeny reconstruction, leveraging single cell bisulfite treated whole genome sequencing data (scBS-seq), additionally incorporating copy number information inferred independently from matched single cell RNA sequencing (scRNA-seq) data, when available. Our framework consists of three components: (i) noise-minimizing site selection, (ii) likelihood-based sequencing error correction, and (iii) pairwise expected distance calculation for cells, all designed to mitigate the effect of noise and uncertainty due to data sparsity commonly observed in scBS-seq data. We validate our approach with the scBS-seq data of multi-regionally sampled colorectal cancer cells, and demonstrate that the cell lineages constructed by our method strongly correlate with original sampling regions. Additionally, we show that the constructed phylogeny can be used to impute missing entries, which, in turn, may help reduce sparsity issues in scBS-seq data sets. Contact: cenk.sahinalp@nih.gov

Abstract This paper describes influences of heat input on geometry of GMAW fillet welds of unalloyed steel with thicknesses of 8 mm. Welding current and speed are varied, as parameters influencing heat input, while weld size, reinforcement, penetration, dilution and weld asymmetry are considered as geometry properties. All of them are obtained through measurements on macro-sections. Influence of heat input on geometry is presented through the model based on regression analysis.

Industrial control systems control and supervise our most important and critical infrastructures, such as power utilities, clean water plants and nuclear plants, as well as the manufacturing industries at the base of our economy. These systems are currently undergoing a transformation driven by the Industry 4.0 evolution, characterized by increased connectivity and flexibility. Consequently, the cybersecurity threat landscape for industrial control systems is evolving as well. Current strategies used for access control within industrial control systems are relatively rudimentary. It is evident that some of the emerging cybersecurity threats related to Industry 4.0 could be better mitigated using more fine-grained access control policies. In this article we discuss and describe a number of access control strategies that could be used within manufacturing systems. We evaluate the strategies in a simulation experiment, using a number of attack-scenarios. Moreover, a method is outlined for automatic policy-generation based on engineering-data, which is aligned with one of the best performing strategies.

Rapid telecommunications developing during previous decades is followed by novel technology systems as well as enlargement of environmental non-ionized radiation level. Emitted electromagnetic signals from base stations are shifted to the higher frequencies range with limited penetrability, requiring additional strength which implicates increasing risk for human health. The present research shows the stage of electromagnetic pollution from exposed locations in the vicinity of the elementary school in Banja Luka, obtained both by experimental measurements and theoretical estimations. For theoretical prediction, a new upgraded software was developed for visualization in two and three dimensions of real space, where calculations are performed including all fundamental characteristics of the antenna along with environment characteristics.

Abstract Nanotechnology has appeared as an emerging field of science in which we use nano-sized particles (nanoparticles) for beneficial uses like soil and water remediation from different contaminants like heavy metals, to improve soil fertility by adding nanofertilizers to nutrient deficient soils, agents to cope with climate change, and use in the medical field as agents for drug delivery and rapid diagnostics. Apart from their benefits, there are some hazards associated with these nanoparticles. They can affect a wide array of organisms through their application, ingestion, or accidental release into environment. They can reduce plant growth, yield, and even cause plant death, and can cause human and animal organ disorders through cytotoxicity, immunotoxicity, neurotoxicity, etc.

The aim of this research was to summarize the relevant literature on wrist injuries in gymnasts and to determine the prevalence of injuries based on a systematic review of previous research. In sports gymnastics, the upper extremities are the bearers of the whole body, which leads to consequences such as wrist injuries. The types of injuries are different, depending on its excessive use. The combination of a period of rapid growth and intensive training creates the conditions for gymnasts to be more prone to injuries, especially wrist injuries. Electronic search of papers was performed in databases: KoBSON, PubMed and Google Academic, and the studies were published in the period from 2010 to 2020, while a descriptive method was used to analyse the obtained data. Based on the database search, 14 studies met the criteria. Subjects who participated in questionnaires and experiments and different types of corrective treatment, sought to prevent further progression of the injury, and most subjects made major progress in suppressing or completely regressing their wrist injury. Raising awareness of the existence of this injury is of great importance in sport gymnastics, so early detection and prevention of injury is crucial.

The aim of this study was to determine the impact of exercising on the back pain. Tools used for the literature review are electronic databases: Google Scholar, PubMed, Medline, Mendeley, for the time period from 2010 to 2019. After the selection of papers regarding the criteria, 20 studies that suit the needs of this systematic review were selected. Therapeutic training for relieving back pain is very heterogeneous, a total of 12 different therapeutic exercise programs were conducted. The most used programs are pilates and conventional (traditional) program for relieving back pain, followed by stabilization exercises, as well as other methods, such as: sling method, motor control exercises, stretching exercises, segment stabilization, as well as combined programs. Based on the analysis of the research conducted so far, it has been determined that exercising has positive impact in decreasing pain intensity and the level of disability, on the increase of the maximum strength, durability and trunk flexibility, as well as on the improvement of the overall health related functionality of patients with back pain. It has been concluded that program of exercises has a multiple positive impact on the health of patients with the chronical back pain and that exercising to these patients is, therefore, recommended.