The impact of interfaces and heterojuctions on the electronic and thermoelectric transport properties of materials is discussed herein. Recent progress in understanding electronic transport in heterostructures of 2D materials ranging from graphene to transition metal dichalcogenides, their homojunctions (grain boundaries), lateral heterojunctions (such as graphene/MoS2 lateral interfaces), and vertical van der Waals heterostructures is reviewed. Work on thermopower in 2D heterojunctions, as well as their applications in creating devices such as resonant tunneling diodes (RTDs), is also discussed. Last, the focus turns to work in 3D heterostructures. While transport in 3D heterostructures has been researched for several decades, here recent progress in theory and simulation of quantum effects on transport via the Wigner and non‐equilibrium Green's functions approaches is reviewed. These simulation techniques have been successfully applied toward understanding the impact of heterojunctions on transport properties and thermopower, which finds applications in energy harvesting, and electron resonant tunneling, with applications in RTDs. In conclusion, tremendous progress has been made in both simulation and experiments toward the goal of understanding transport in heterostructures and this progress will soon be parlayed into improved energy converters and quantum nanoelectronic devices.

Gastric necrosis with perforation is a rare and potentially life-threatening condition in childhood beyond the neonatal period. We report a case of gastric necrosis and perforation of a portion of the great curvature due to a massive gastric dilatation caused by pathological aerophagia in a 13-years-old, mentally impaired adolescent girl. Despite the successful surgical treatment, the patient's condition rapidly deteriorated post-operatively and she died due to the multisystem organ failure and multiple infections. In addition, we surveyed the literature on this rare condition and assessed the preventive actions to reduce this life-treating condition.

The aim of this research was to determine the connection between the level of physical activity and body composition among school-age children. The sample of participants included 479 students, 250 boys and 229 girls, school-age children, with an average age of 12,5±1,08. Their level of physical activity was evaluated using the FELS PAQ questionnaire, while their body composition was evaluated using the BIA method. To determine a connection between the group of predictor variables and the criterion variables, a canonical correlation analysis was used. The obtained results indicated that there is a positive correlation between the level of physical activity and the parameters of body composition, both for the sample of school-age boys (p= .002), and the sample of girls (p= .048). It could be concluded that the participants who were physically more active scored lower values for Body Fat and BMI, that is, higher values for Muscle Mass and Lean Body Mass.

The chemical composition of essential oils isolated from immortelle (Helicrysum italicum subsp. italicum) collected in Herzegovina during five different periods, was investigated by GC/MS analysis. The main compounds were a-pinene (15.7 %) and γ-curcumene (12.8 %), followed by 4,6,9-trimethyldec-8-en-3,5-dione (8.7 %), neryl acetate (6.9 %), limonene (6.4 %) and β-selinene (5.3 %). In total, 69 components were identified whose share changed over the vegetative cycle. Antioxidant activity of methanolic extracts of immortelle were determined according to DPPH (IC50 = 23–34 μg/mL) and FRAP (29 μg/mL is equivalent to 1.1‒2.2 mM Fe2+) methods. Acetylcholinesterase inhibitory potential, investigated by modified Ellman’s assay and determined as IC50 values, were 340–440 μg/mL for methanol extracts and 135 μg/mL for essential oil. Metanolic extracts showed strong antioxidant activity and potential to inhibit AChE. Essential oil possesses complex chemical composition, inhibition activity of AChE and weak antioxidant capacity.

Objective of this systematic review was to establish whether and what invasive infections in humans were caused by Kocuria kristinae, and to evaluate outcomes of administered antibiotic treatment. MEDLINE, EBSCO, SCOPUS, SCINDEKS and GOOGLE SCHOLAR were systematically searched for primary case reports or case series describing invasive infections with K. kristinae. K. kristinae is a pathogen microorganism that could cause invasive infections of various tissues in patients of any age. Majority of the patients had K. kristinae isolated from blood. It was also found in peritoneal fluid, pus, sputum, synovial fluid, bile, fluid from abdominal abscess, throat swab, urine catheter tip and mid-stream urine. Antibiotic treatment was almost universally effective, with only one death reported. Susceptibility was highest to vancomycin, linezolid, rifampicin, teicoplanin, tigecycline, cefotaxime, ampicillin/sulbactam, minocycline and meropenem. Initial treatment of Kocuria kristinae infections should involve parenteral vancomycin in combination with some other antibiotic to which it is susceptible.

Uvod Dehidracija može ugroziti sportsku izvedbu i povećati rizik od teške tjelesne povrede. Negativni efekti dehidratacije na performanse se uočavaju već pri <2% (Barr, 1999). Naime, manjak tečnosti koji se javlja tokom jedne vježbe može potencijalno kompromitovati sljedeću sesiju vježbanja, ukoliko ne dođe do adekvatne zamjene tečnosti. Dakle, zamjena te čnosti poslije vježbanja često se može smatrati hidratacijom prije sljedećeg treninga (Shirreff s, Armstrong, & Cheuvront, 2004). Ipak, sportisti samoinicijativno ne piju dovoljnu količinu vode za sprječavanje dehidracije tokom fi zičke aktivnosti (Casa, Armstrong, Hillman, Montain, Reiff , Rich, Roberts, & Stone, 2000; Maughan i sar., 2010). Maughan & Shirreff s (2010), navode da neki sportisti piju previše tečnosti, dok neki mogu razviti i hiponatremiju zbog prevelikog unosa tečnosti. S druge strane, slobodnim mikropauzama koje se tokom treninga planiraju u cilju nadoknađivanja tečnosti gubi se na intenzitetu treninga, a ukoliko je cilj treninga sticanje motoričkog znanja onda dolazi do narušavanja organizacije i kontinuiteta rada (Gobson i sar., 2012). Pogotovo je to slučaj prilikom rada u parovima, kada jedan od partnera nadoknađuje tečnost, dok drugi stoji i čeka ga. Interesantno bi bilo ispitati da li nadoknađivanje tečnosti tokom treninga predstavlja samo naviku sportiste, ili zato zaista postoji objektivna potreba nastala kao rezultat gubitka tečnosti znojenjem i naprezanjem tokom treninga. Sam osječaj žeđi je individualnog karaktera, te bi stoga bilo potrebno provjeriti opravdanost slobodnog načina rehidriranja. Poznato je i da vrhunski judo takmičari hipohidracijom smanjuju težinu prije takmičenja, što takođe negativno utiče na organizam sportiste i dovodi do smanjenja funkcije te negativnih učinaka na zdravlje (Jung & Malliaropoulos, 2014). Gubitak tečnosti rezultira osjećajem letargije i gubitkom motivacije za nastavak vježbanja, pridonoseći razvoju umora (Watson, 2008). Kratkoročne promjene u hidrataciji mogu se procijeniti na temelju promjene mase tijela (Maughan & Shirreff s, 2010). Rezultati ove studije bi trebali potvrditi dehidraciju organizma u slučaju nekonzumiranja tečnosti tokom judo treninga, te ukazati na opravdanost organizovane rehidratacije u slučaju sportista 11-12 godina starosti. Abstract

Today nanotechnology has become a top research field in the world. The present review covers classification and different applications of nanomaterials including catalysis, water treatment, sensors, energy storage and nanomedicine, as well as their positive and negative impacts on the environment. Increased attention needs to be directed towards the new nanomaterials because the development of knowledge of these nanoparticles is still in its infancy. Nanoparticles are ultra-small particles with exceptional properties, but some nanoparticles and nanomaterials also exhibit harmful properties. This is the reason why we must continue to study them and their potentially damaging effects.

The research papers investigating the game-related parameters and phenomena of women's basketball matches are relatively smaller in size and number than the similar ones treating the same issues in men’s basketball - there has been some changes in that respect in recent years though. This paper’s sample of entity consisted of 40 games and thirteen variables of standard efficiency recorded at FIBA EuroBasket Women 2017 . The research had two basic models of regressions formed, i.e. the absolute and the relative one, each of which had total numbers scored as the dependent variable, and was performed by means of regression and correlation analysis - stepwise regression, as a gradual method of fitting regression models in order to define predictive variables. The obtained regression models and partial correlation indicate that the winning or losing performance was heavily influenced by both field goal efficiency and defensive rebounding, all of which has been corroborated in many other similar pieces of research. Also, the variables as turnovers and personal fouls were extracted as significant in terms of differentiation between the winning and losing team. When we take a closer look and see the observed parameters from the point of view of either First or Final rounds of the competition - since these rounds were played in different formats - it is noticeable that it is becoming more and more evident, of course besides the shot efficiency, the efficiency of free throws and the quality of defense.

In recent years, we witness the spreading of a significant variety of malware, which operate and propagate relying on network communications. Due to the staggering growth of traffic in the last years, detecting malicious software has become infeasible on a packet-by-packet basis. In this paper, we address this challenge by investigating malware behaviors and designing a method to detect them relying only on network flow-level data. In our analysis we identify malware types with regards to their impact on a network and the way they achieve their malicious purposes. Leveraging this knowledge, we propose a machine learning-based and privacy-preserving method to detect malware. We evaluate our results on two malware datasets (MalRec and CTU-13) containing traffic of over 65,000 malware samples, as well as one month of network traffic from the University of Oxford containing over 23 billion flows. We show that despite the coarse-grained information provided by network flows and the imbalance between legitimate and malicious traffic, MalAlert can distinguish between different types of malware with the F1 score of 90%.