SAŽETAK: Iako razne vrste zanimanja različito utječu na ljudsko zdravlje, nepravilni načini držanja tijela i bolovi u leđima povezuju veliki broj radnika i zanimanja. Bolovi u leđima česta su pojava i kod radnika u trgovinama. Njihov posao prvenstveno je okarakteriziran velikim brojem ponavljanja spuštanja i podizanja trupa prilikom slaganja robe. Upravo zato je, u jednom velikom trgovačkom lancu u RH, proveden projekt u području kineziologije rada u obliku sustavnog učenja radnika o pravilnim načinima rukovanja teretima, a s ciljem prevencije bolova u leđima. Ovo istraživanje dio je tog projekta. Uzorak ispitanika čini skupina od 234 zaposlenika koji rade u trgovinama. U sklopu projekta provedene su teorijsko-praktična predavanja na kojima su radnici ispunili anketne upitnike. Anketni upitnici obrađeni su metodama deskriptivne statistike. Utvrđeno je kako 58,02 % ispitanika osjeća bol u donjem dijelu leđa na prvom mjestu, a na prvom, drugom ili trećem mjestu bol u donjem dijelu leđa osjeća 73,11 % ispitanika. Bol u leđima i/ili vratu na prvom mjestu ima 84,90 % ispitanika, a na prvom, drugom i/ili trećem mjestu zajedno bol u leđima i/ili vratu osjeća zapanjujućih 92,45 % ispitanika. Utvrđeno je i kako 86,79 % ispitanika ima automatiziran nepravilan način rukovanja teretima u obliku istaknutog zaobljavanja leđa prilikom rada. Od 100 % ispitanika koji zaobljavaju leđa 94 % ispitanika ima bolove u leđima i/ili vratu, a samo 6 % ispitanika nema bolove u leđima i/ili vratu. Ovo istraživanje sugerira kako nepravilni načini držanja tijela za vrijeme rada fizičkih radnika snažno utječe na pojavu bolova u leđima i vratu. Zaključuje se kako tehnika dizanja tereta s poda nije ništa drugo do motoričko znanje koje se mora naučiti. Međutim, prvo se treba prepoznati potreba sustavnog upoznavanja radnika s pravilnim načinima držanja tijela prilikom rukovanja teretima. Cilj je primarna i sekundarna prevencija bolova u leđima i vratu kao i očuvanje radne sposobnosti radnika.

Geometrijske distorzije povijesnih šumarskih karata predstavljaju glavnu smetnju u postupcima integracije tih karata i drugih geoprostornih podataka. Efekti praktične primjene različitih postupaka uklanjanja deformacija karte detaljno su sagledani na ispitivanom listu stare šumarske karte Bosne i Hercegovine. Analizom različitih transformacijskih postupaka pokazano je da se najbolji rezultati ukupne točnosti transformacije karte ostvaruju uporabom kompleksnih polinomnih i lokalno osjetljivih modela, s obzirom na njihove sposobnosti uklanjanja neuniformnih i neravnomjerno raspoređenih distorzija sadržaja karte. Transformacijski model se znatno poboljšava ako se u njegovu osnovu uključe sve točke koordinatne mreže karte.

Purpose: Objective and reliable force measurement is necessary to monitor the rehabilitation after triceps brachii pathology, injuries, and posterior approach–based surgery. It is unclear at which amount of extension the triceps is best tested and if comparison to the uninjured sided is reliable. This study aims to identify the most reliable elbow position at which elbow extension force is measured using a dynamometer. Furthermore, it aims to compare the extension strength of the dominant arm with that of the nondominant arm. Methods: Isometric elbow extension force of the dominant and nondominant arms of healthy subjects was measured. The measurements were taken in three sequences per arm in 0, 30, 60, 90, and 120 degrees of flexion. A subgroup repeated the measurements to analyze test–retest reliability using intraclass correlation. Results: We included a total of 176 volunteers. The repeated measures analysis of variance for within-subject effect showed the lowest variation coefficient at 30 degrees of flexion. Extension forces showed a mean difference of 3.2–6.9 N in advantage of the dominant arm, resulting in ratios from 1.05 to 1.09. Learning curve analysis showed that during the first session in dominant and nondominant arms, less forces were exerted. Conclusion: The most reliable isometric triceps brachii muscle strength measurement was at 30 degrees of flexion of the elbow. Considering the learning curve, a first tryout session for both arms is indicated. Then, a second measurement suffices as no further learning curve is observed.

Long term evolution (LTE) is the fastest-deployed mobile broadband technology driven by demand for improved user experience. It has distinguished itself compared to other mobile broadband technologies in its ability to handle the growth of video traffic that has become an important part of user’s mobile broadband experience. Growing trend of video consumption implies that that media-related system influence factors (SIFs) should be identified and well-understood in order to determine how they affect the user’s quality of experience (QoE). Therefore, this paper aims to provide a deeper understanding of media-related SIFs and their impact on QoE for video streaming. Experimental study has included two phases, i.e., H.265/ high efficiency video coding (HEVC) coded video streaming emulation over LTE network and end-user survey for collecting mean opinion score (MOS). Results obtained from statistical analysis imply that there exists strong and statistically significant impact of individual media-related SIFs and their interaction on QoE for video streaming.

The ongoing shrinkage in the size of two-dimensional (2D) electronic circuitry results in high power densities during device operation, which could cause a significant temperature rise within 2D channels. One challenge in Raman thermometry of 2D materials is that the commonly used high-frequency modes do not precisely represent the temperature rise in some 2D materials because of peak broadening and intensity weakening at elevated temperatures. In this work, we show that a low-frequency E2g2 shear mode can be used to accurately extract temperature and measure thermal boundary conductance (TBC) in back-gated tungsten diselenide (WSe2) field-effect transistors, whereas the high-frequency peaks (E2g1 and A1g) fail to provide reliable thermal information. Our calculations indicate that the broadening of high-frequency Raman-active modes is primarily driven by anharmonic decay into pairs of longitudinal acoustic phonons, resulting in a weak coupling with out-of-plane flexural acoustic phonons that are responsible for the heat transfer to the substrate. We found that the TBC at the interface of WSe2 and Si/SiO2 substrate is ∼16 MW/m2 K, depends on the number of WSe2 layers, and peaks for 3-4 layer stacks. Furthermore, the TBC to the substrate is the highest from the layers closest to it, with each additional layer adding thermal resistance. We conclude that the location where heat dissipated in a multilayer stack is as important to device reliability as the total TBC.

When and how does the ultra-right-wing terrorism period close as their mean in politics with the goal of deterrence and the destruction of the capitalist order? Why does the “Arabian jihad” shift its priorities from the “close enemy” to the “far enemy”? Why did terrorist violence appear more often, in the last couple of decades, in the countries where Muslims are the majority, or why are the perpetrators, in terms of terrorist acts, mostly Muslims? These are the questions which are in the academic discussion centre and analysis of our paper. The paper identifies the causes and discusses the “us” and “them” polarization. The goal is to explain what is behind these paroles through the analysis of world’s authors: “War against terrorism”, “Unity of a nation”, and “The just war”. From a theoretical and empirical point of view, emphasizing of the Islamic component in terrorism is unfair at least. We used qualitative research methods, including the desk research, to obtain necessary data to give answers on our research questions.

A key aspect of the fifth-generation wireless communication network will be the integration of different services and technologies to provide seamless connectivity. In this paper, we consider using massive multiple-input multiple-output (mMIMO) to provide backhaul links to a dense deployment of self-backhauling (s-BH) small cells (SCs) that provide cellular access within the same spectrum resources of the backhaul. Through a comprehensive system-level simulation study, we evaluate the interplay between access and backhaul and the resulting end-to-end user rates. Moreover, we analyze the impact of different SCs deployment strategies, while varying the time resource allocation between radio access and backhaul links. We finally compare the above mMIMO-based s-BH approach to a mMIMO direct access (DA) architecture accounting for the effects of pilot reuse schemes, together with their associated overhead and contamination mitigation effects. The results show that dense SCs deployments supported by mMIMO s-BH provide significant rate improvements for cell-edge users (UEs) in ultra-dense deployments with respect to mMIMO DA, while the latter outperforms mMIMO s-BH from the median UEs' standpoint.

Wireless mesh networks (WMNs) have been extensively studied for nearly two decades as one of the most promising candidates expected to power the high-bandwidth, high-coverage wireless networks of the future. However, consumer demand for such networks has only recently caught up, rendering efforts at optimizing WMNs to support high capacities and offer high QoS, while being secure and fault-tolerant, more important than ever. To this end, a recent trend has been the application of machine learning (ML) to solve various design and management tasks related to WMNs. In this work, key ML techniques are discussed and past efforts applying them in WMNs are analyzed, while noting some existing issues and suggesting potential solutions. Directions are provided on how ML could advance future research. Recent developments in the field are also examined.

This paper discusses technology challenges and opportunities to embrace artificial intelligence (AI) era in the design of wireless networks. We aim to provide readers with motivation and general methodology for adoption of AI in the context of next-generation networks. First, we discuss the rise of network intelligence and then, we introduce a brief overview of AI with machine learning (ML) and their relationship to self-organization designs. Finally, we discuss design of intelligent agent and it's functions to enable knowledge-driven wireless networks with AI.