Lifting table has been designed and developed through the concept of Learning Factory (LF) at the University of Mostar. The idea for lifting table design has come from the local industry needs for a lifting platform that should lift a man and/or load at a certain height. For safety reasons, design is checked under the loading using a method of finite element analysis. The paper predicts and explains methodology for structural analysis used in presented case study. Results of FEM analysis are basis for making ways and guidelines to optimize current design in order to get optimal parameters for weight, stability, capacity, mobility and layout of the lifting table.

Analysis of planar or spatial mechanisms as segments of real complex systems and machines in the domain of kinematics, kinetostatic, dynamic, functional and other aspects of analysis can be done by analytical methods and by applying contemporary software applications. This paper shows some examples of complex mechanism analysis using SolidWorks software, which provides a special module for quick analysis with a visual representation of characteristic data mechanism for different members position as a diagrammatic representation of certain parameters throughout the observed motion cycle. Such representations are very useful in designing mechanisms in the manner of analysis or synthesis. Analysis of characteristic points of moving members of the mechanism with the presentation of its path during the motion cycle, the analysis of velocity and acceleration vectors of members’ moving points, forces on the members of the mechanism, definition of the moment or force on the drive member of the mechanism, the path of the executive member of the mechanism, the possibility of collision in the movement of the members of the mechanism, the geometry of the members of the mechanism based on the required path of the movement of the executive member of the mechanism, etc., are only some of the possible areas of analysis.

several microorganisms of Gram-negative of the monocytogenes,

Graphs are irregular structures that naturally represent the multifaceted data attributes; however, traditional approaches have been established outside signal processing and largely focus on analyzing the underlying graphs rather than signals on graphs. Given the rapidly increasing availability of multisensor and multinode measurements, likely recorded on irregular or ad hoc grids, it would be extremely advantageous to analyze such structured data as "signals on graphs" and thus benefit from the ability of graphs to incorporate spatial sensing awareness, physical intuition, and sensor importance, together with the inherent "local versus global" sensor association. The aim of this lecture note is, therefore, to establish a common language between graph signals that are observed in irregular signal domains and some of the most fundamental paradigms in digital signal processing (DSP), such as spectral analysis, system transfer function, digital filter design, parameter estimation, and optimal denoising.

Models with massive vector leptoquarks, resulting from an SU(4) gauge symmetry spontaneously broken at the TeV scale, are of great phenomenological interest given the current “anomalies” in semileptonic B decays. We analyze the relations between low- and high-energy observables in such class of models to next-to-leading order accuracy in the SU(4) gauge coupling g4. For large values of g4, motivated by recent B-physics data, one-loop corrections are sizable. The main effect is an enhanced contribution at low energy at fixed on-shell couplings. This result has important implications for current and future high-energy searches of vector leptoquark models.

The identification of mutually exclusive somatic mutations shared among myeloproliferative neoplasm (MPN) subtypes has provided a powerful tool for studying disease evolution. Clinical features, gene mutations, and survival over 18 years were analyzed in MPN patients. One hundred thirty-eight MPN patients were subcategorized according to MPN subtypes: essential thrombocythemia (ET, n = 41), polycythemia vera (PV, n = 56), primary myelofibrosis (PMF, n = 10), and MPN unclassified (MPN-U, n = 31). Patient characteristics included clinical parameters, overall survival (OS), and mutational status of the Janus kinase 2 (JAK2), calreticulin (CALR), and myeloproliferative leukemia virus oncogene (MPL) genes. We compared hematologic and clinical features of JAK2V617F-ET vs. CALR-mutated ET vs. JAK2V617F-PV patients. JAK2V617F-patients had higher values of erythrocytes, hemoglobin, and hematocrit compared to CALR-mutated patients (p < 0.05). The mutant allele burden in JAK2V617F-PV and JAK2V617F-ET patients directly correlated with erythrocyte, hemoglobin, and hematocrit values, but it inversely correlated with platelet count. Thus, mutant allele burden was an indicator of the clinical phenotype in JAK2V617F-MPN patients. OS was not affected by the mutational status. In general, mutated JAK2, CALR, and MPL genes left specific hematological signatures.

Graphs are irregular structures that naturally represent the multifaceted data attributes; however, traditional approaches have been established outside signal processing and largely focus on analyzing the underlying graphs rather than signals on graphs. Given the rapidly increasing availability of multisensor and multinode measurements, likely recorded on irregular or ad hoc grids, it would be extremely advantageous to analyze such structured data as "signals on graphs" and thus benefit from the ability of graphs to incorporate spatial sensing awareness, physical intuition, and sensor importance, together with the inherent "local versus global" sensor association. The aim of this lecture note is, therefore, to establish a common language between graph signals that are observed in irregular signal domains and some of the most fundamental paradigms in digital signal processing (DSP), such as spectral analysis, system transfer function, digital filter design, parameter estimation, and optimal denoising.

NAD(P)H:quinone oxidoreductase 1 (NQO1) is a human FAD‐dependent enzyme that plays a crucial role in the antioxidant defense system. A naturally occurring single‐nucleotide polymorphism (NQO1*2) in the NQO1 gene leads to an amino acid substitution (P187S), which severely compromises the activity and stability of the enzyme. The NQO1*2 genotype has been linked to a higher risk for several types of cancer and poor survival rate after anthracycline‐based chemotherapy. In this study, we show that a small molecular chaperone (N‐(2‐bromophenyl)pyrrolidine‐1‐sulfonamide) repopulates the native wild‐type conformation. As a consequence of the stabilizing effect, the enzymatic activity of the P187S variant protein is strongly improved in the presence of the molecular chaperone in vitro.

This article explores the possibilities and challenges of genetic testing, genetic counseling, and genome editing (collectively referred to in this piece as precision medicine) in Bosnia and Herzegovina, in the era of CRISP-Cas9. It is informed by recent developments in the field which reached new heights in the radar of global awareness in the wake of the research scandal from China in November of 2018. The scandal generated intense debates, some of it still ongoing, regarding the appropriate boundaries for scientific research on human DNA. Bearing on independent developments within this country, complemented with global events, the article covers several grounds related to the topic, including: the nature and limits of emerging legislation; measures of genetic testing and genetic counseling; public engagement meant to increase awareness among stakeholders, beginning with the public, regarding these novel technologies; and corresponding bioethical and social implications. BH decision makers must work to ensure that socioeconomic factors do not pose obstacles to healthcare access, including matters bordering on precision medicine, and they must strive to realize standards for citizens, whether in healthcare delivery, research, or general educational services, that do not lag behind the rest of Europe. The route to reaching these governance goals will be through well-timed legislation, level-headed implementation, and diligent legislative oversight of the work of administrative agencies.

This article explores the possibilities and challenges of genetic testing, genetic counseling, and genome editing (collectively referred to in this piece as precision medicine) in Bosnia and Herzegovina, in the era of CRISP-Cas9. It is informed by recent developments in the field which reached new heights in the radar of global awareness in the wake of the research scandal from China in November of 2018. The scandal generated intense debates, some of it still ongoing, regarding the appropriate boundaries for scientific research on human DNA. Bearing on independent developments within this country, complemented with global events, the article covers several grounds related to the topic, including: the nature and limits of emerging legislation; measures of genetic testing and genetic counseling; public engagement meant to increase awareness among stakeholders, beginning with the public, regarding these novel technologies; and corresponding bioethical and social implications. BH decision makers must work to ensure that socioeconomic factors do not pose obstacles to healthcare access, including matters bordering on precision medicine, and they must strive to realize standards for citizens, whether in healthcare delivery, research, or general educational services, that do not lag behind the rest of Europe. The route to reaching these governance goals will be through well-timed legislation, level-headed implementation, and diligent legislative oversight of the work of administrative agencies.

Measuring the efficiency of athletes during competition has been a subject of interest both for experts and scientists in sports for more than a hundred years. Basketball has recognized in the 1940s how important it is to analyze efficiency indicators because these procedures allow coaches to increase their knowledge. There are two basic methods – objective and subjective – for evaluating the efficiency, or real quality of basketball players. The aim of this research is to establish the level of correlation between these two methods and to identify clusters, i.e. player hierarchy based on the results of both methods of efficiency evaluation. The sample of variables consisted of 12 basketball players who participated in the 2010 FIBA World Championships in Turkey. The subjective evaluation, also called expert evaluation, was performed by coaches of seven national teams that participated in the Championship. The objective evaluation was performed using the EEF efficiency index. The data was processed using z-scoring, the Pearson coefficient, and hierarchical cluster analysis. The Pearson coefficients of linear correlation between the efficiency index and the expert evaluation is r = 0.859 with a statistical significance of p ≤ 0.01. The cluster analysis distinguished two groups of players, which were named quality and super quality. The variance analysis showed that the probability of the clusters being equal is less than p ≤ 0.00. The research has shown that the evaluation by coaches is relevant and is fully consistent with the efficiency index formula. Also, the distinction of two groups of players by clustering is not uncommon in the basketball practice and is linked with efficiency at the given time.