Few-layer (FL) transition metal dichalcogenides have drawn attention for nanoelectronics applications due to their improved mobility, owing to the partial screening of charged impurities at the oxide interface. However, under realistic operating conditions, dissipation leads to self-heating, which is detrimental to electronic and thermal properties. We fabricated a series of FL-WSe2 devices and measured their I-V characteristics, while their temperatures were quantified by Raman thermometry and simulated from first principles. Our tightly-integrated electro-thermal study shows that Joule heating leads to a significant layer-dependent temperature rise, which affects mobility and alters the flow of current through the stack. This causes the temperatures in the top layers to increase dramatically, degrading their mobility and causing the current to reroute to the bottom of the FL stack where thermal conductance is higher. We discover that this current rerouting phenomenon improves heat removal because the current flows through layers closer to the substrate, limiting the severity of self-heating and its impact on carrier mobility. We also observe significant lateral heat removal via the contacts because of longer thermal healing length in the top layers and explore the optimum number of layers to maximize mobility in FL devices. Our study will impact future device designs and lead to further improvements in thermal management in vdW-based devices.

This paper demonstrates and provides additional findings and instructions to produce new cold-recycled layers of pavement structures spatially and temporally sustainable. At the same time, recycled pavement structures have been enhanced with optimum amounts of new stone materials and binders made of cement and foamed bitumen. The subject of the research is based on the examination of recycled asphalt from surface and bituminous base courses of pavement structures for use on higher-type roads. The aim of the research is to model the process of producing recycled asphalt by cold recycling to optimize the process of influential parameters. In addition, one of the primary goals of the research is to demonstrate a sustainable way of producing new cold-recycled layers of pavement structures. The obtained results indicated the inevitability of the use of recycled material from pavement structures with the possibility of applying secondary and tertiary crushing of recycled mass, which depends on the type of layer for which the recycled material would be used. The research resulted in an optimum mixture variant of the stabilization layer of pavement structure that consists mainly of recycled material from a worn pavement structure improved with a relatively small amount of new aggregate with the addition of minimal stabilizers made of cement and foamed bitumen. The results showed that the optimum mixture variant of the stabilization layer is spatially and temporally stable. Additionally, the presented optimum variant of the stabilization layer enables sustainable development of road networks with minimum consumption of new natural resources.

The aim of this study was to determine the effects of programmed kinesiological treatment on transformation of postural spinal status in the sagittal plane kyphosis and fl at feet pes planus, in IV to VI grade pupils (second triad of nine-year elementary school). The study was conducted on a 290 pupil sample. Eight (8) variables were applied in the study to evaluate postural spine status kyphosis and fl at feet pes planus. The research had a longitudinal character. The use of contingent tables shows the frequencies and the corresponding percentages increase the deformity of the spine kyphosis and fl at feet pes planus. The results of the study indicate the statistical signifi cance of the percentage of deformity of the kyphosis and fl at feet pes planus. Changes in the arch of the feet and spine are mainly in the fi rst stage of deformation, which also enabled the correction of the condition with the application of programmed kinesiological treatment. Therefore, in the global assessment of the quality and justifi cation of the use of programmed kinesiological treatment for one school year, we must state that it contributed to the improvement of the deformity of the kyphosis and the fl at feet of the research sample of pupils.

The quantum-mechanical transition amplitude of an ionization process induced by a strong laser field is typically expressed in the form of an integral over the ionization time of a highly oscillatory function. Within the saddle-point (SP) approximation this integral can be represented by a sum over the contributions of the solutions of the SP equation for complex ionization time. It is shown that, for the general case of an elliptically polarized polychromatic laser field, these solutions can be obtained as zeros of a trigonometric polynomial of the order n and that there are exactly n relevant solutions, which are to be included in the sum. The results obtained are illustrated by examples of various tailored laser fields that are presently used in strong-field physics and attoscience. For some critical values of the parameters two SP solutions can coalesce and the topology of the ‘steepest descent’ integration contour changes so that some SPs are bypassed. Around the critical parameters a uniform approximation should be used instead of the SP method.

The research on wheat accessions was carried out in order to evaluate their grain characteristics. Experiment was set in the agro-ecological conditions of Banja Luka in two experimental years (2015/16 and 2016/17). Ten obsolete wheat cultivars (Brkulja, Licanka, Partizanka, Vuka, Talijanka, Siđanka, Orasanka, Loznicanka, Dokucajevskaja and Nemcitaevskaja) and two landraces (Podrasnica and Previja) were used. Following grain characteristics were evaluated: grain length (mm), grain width (mm), grain thickness (mm), grain volume (mm³), grain surface area (mm²), thousand grain weight (g) and grain protein content (%). Significant interactions were found for most of these traits. The relationship between traits was established by correlation analysis. In this study genotypes Brkulja and Siđanka showed promising for most of the grain characteristics, while Vuka and Partizanka obtained the highest grain protein content.

Dental health and mental health are strongly associated. Neglecting either of them can negatively influence on the other and induce many health and communication problems. Association between oral/dental health, self-esteem, quality of life and holistic health has been recognized for a long time. There has been increasing interest in dental health among patients with major mental disorders as well as in mental states and problems among patients with orodental disorders. Despite of huge progress in the field of dentistry psychiatric patients have had poor oral/dental health. Patients with major mental disorders have quite number of the risk factors for oral disease and consequently poorer dental health, but oral/dental problems and diseases are commonly overlooked or neglected. Bad or inappropriate dental care is related to the patients' amotivation, ignorance, fears, low economic status, stigmas and negative attitudes by the medical professionals. It is important to stress that dental diseases in psychiatric patients deserve the same attention as other comorbid somatic diseases. In this review we accentuate the need for more collaboration in order to bridge the professional gap between dentistry and psychiatry.

Given the application of a multiple regression and artificial neural networks (ANNs), this paper describes development of models for predicting surface roughness, linking an arithmetic mean deviation of a surface roughness to a torque as an input variable, in the process of drilling enhancement steel EN 42CrMo4, thermally treated to the hardness level of 28 HRC, using cruciform blade twist drills made of high speed steel with hardness level of 64–68 HRC. The model was developed using process parameters (nominal diameters of twist drills, speed, feed, and angle of installation of work pieces) as input variables varied at three levels by Taguchi design of experiment and measured experimental data for a torque and arithmetic mean deviation of a surface roughness for different values of flank wear of twist drills. The comparative analysis of the models results and the experimental data, acquired for the inputs at the moment when a wear span reaches a limit value corresponding to a moment of the drills blunting, demonstrates that the neural network model gives better results than the results obtained in the application of multiple linear and nonlinear regression models.

Introduction: Components of the metabolic syndrome (MetSy) have gone through myriad of changes ever since the initial cluster was defined. The Seven Countries Study taught us the basics of classical risk factors for atherosclerotic artery disease and their influence on both cardiovascular and cerebrovascular morbidity and mortality. Material and Methods: In a 3-continent, 7-country (USA, Japan, Greece, the Netherlands, Finland, Italy, and former Yugoslavia then, now Croatia and Serbia) sample of 12,763 participants -- all healthy men over 40 at entry -- systematic, quinquennial checkups were conducted over 4 decades and MetSy was defined using the IDF definition. ResultS: A total of 9,09% of participants were identified to have MetSy, while the detailed description of risk factors' combination is shown in Table 1 and Figure 1, below. Conclusion: The leading combination was hypertension (HTA), diabetes (DM) and dyslipidemia (HLP), while hypertension was the hallmark risk factor irrelevant of presence or absence of MetSy. The results of this study call for a contemporary comprehensive research involving both sexes that could elucidate better real life risk factors' relationships in aforementioned countries.

ABSTRACT Introduction: Zonisamide is a benzisoxazole with 3-methanesulfonamide side chain, chemically unrelated with other anticonvulsants, and approved as mono-therapy of newly diagnosed focal epilepsy with or without secondary generalization in adults or adjunctive therapy in the treatment of partial seizures, with or without secondary generalization, in adults, adolescents, and children aged 6 years and above. Areas covered: Pharmacokinetics, clinical efficacy, and the adverse effects of zonisamide are discussed in the article. The discussion is based on data from published preclinical studies, clinical trials, observational studies, systematic reviews, and approved summary of product characteristics. Expert opinion: Zonisamide is an anticonvulsant with multiple mechanisms of action on neuronal tissue, which achieves seizure freedom in more than 80% of patients with newly-onset focal epilepsy and in 6.2 to 18.1% of patients with focal onset seizures inadequately controlled by first-line anticonvulsants. Within the recommended dose range, it follows linear kinetic of elimination; it is metabolized in the liver by two cytochrome isoforms, so pharmacokinetic interactions are rare and with little clinical significance. Up to 10% of patients taking zonisamide will have problems with weight loss and more than 10% with irritability, confusion or depression, and long-lasting therapy may cause renal calculi in 1.2% of patients.

A microgrid concept for the thermal and electrical energy supply of a Sport-Recreation Center Ajdinovići (S.R.C.A.) has been proposed in this paper. A self-contained and intelligent power distribution grid has been developed for this case, taking into account the location, locally available renewable energy sources and the very purpose of this center. Comparative analyses between independent power supply through the proposed hybrid power system and the supply over the transmission and distribution network were performed. Technical and economical optimization of an energy system with distributed power generation was done by applying HOMER and DIgSILENT PowerFactory professional software tools. As a result, hybrid power system is more cost-effective than the conventional supply by the power distribution network, microgrid meets the technical criteria based on the analysis of power flows and the stability of the network has been achieved. Establishment of energy independence for the existing S.R.C.A. besides economic factor will show several benefits regarding better use of locally available resources, reduction of CO2 emissions and energy efficiency increment as well as an employment opportunity to the local people, thus contributing to the sustainability of the region.

Exhaled breath analysis has become a promising monitoring tool for various ailments by identifying volatile organic compounds (VOCs) as indicative biomarkers excreted in the human body. Throughout the process of sampling, measuring, and data processing, non-biological variations are introduced in the data leading to batch effects. Algorithmic approaches have been developed to cope with within-study batch effects. Batch differences, however, may occur among different studies too, and up-to-date, ways to correct for cross-study batch effects are lacking; ultimately, cross-study comparisons to verify the uniqueness of found VOC profiles for a specific disease may be challenging. This study applies within-study batch-effect-correction approaches to correct for cross-study batch effects; suggestions are made that may help prevent the introduction of cross-study variations. Three batch-effect-correction algorithms were investigated: zero-centering, combat, and the analysis of covariance framework. The breath samples were collected from inflammatory bowel disease (n=213), chronic liver disease (n=189), and irritable bowel syndrome (n=261) patients at different periods, and they were analysed via gas chromatography-mass spectrometry. Multivariate statistics were used to visualise and verify the results. The visualisation of the data before any batch-effect-correction technique was applied showed a clear distinction due to probable batch effects among the datasets of the three cohorts. The visualisation of the three datasets after implementing all three correction techniques showed that the batch effects were still present in the data. Predictions made using partial least squares discriminant analysis and random forest confirmed this observation. The within-study batch-effect-correction approaches fail to correct for cross-study batch effects present in the data. The present study proposes a framework for systematically standardising future breathomics data by using internal standards or quality control samples at regular analysis intervals. Further knowledge regarding the nature of the unsolicited variations among cross-study batches must be obtained to move the field further.