It is known that gloss has a significant impact on colour measurement. The UV varnish used for surface finishing, spot effects, as well as special effects, such as 3D effects and formation of Braille, has a pronounced gloss effect. In this work, a comparison of the spectrophotometer measurement geometry influence on the colour measurement of an unprinted PVC sample covered with UV varnish was done. UV varnish was applied successively in layers, and patches with different number of varnish layers, from 1 to 12, were formed. Two spectrophotometers with different measurement geometries were used for the measurement: Konica Minolta CM-2600d with d/8 measurement geometry, with spectral reflection included and excluded, and different measurement aperture 3 and 8 mm, and X-Rite eXact with 45/0 measurement geometry. By comparing the measurements, it was estab-lished that there is a significant difference in the measured values between different measuring device geometries on the given samples, and that the number of UV varnish layers has a significant influence on this differenc

This paper presents a new method that enables automatic channel change in case of intense interference on the active channel of a wireless communication point-to-point link. Channel change algorithms on the master and slave side of the communication link are presented, which enable the automatic selection of a new communication channel from a predefined set of available communication channels. By applying this method, it is possible to maintain a stable communication link in case of intense unpredictable interference on the transmitter or receiver side. The method applies to two-way master-slave communication links, regardless of the frequency spectrum and the number of used communication channels.

Abstract Within this paper, the possibility of using advanced LoRa technology in the field of long-range remote control was considered. For testing purposes, a one-way point-to-point LoRa remote control link was implemented based on the LoRa Ra-02 SX1278 transceiver and the corresponding 32-bit Cortex-M3 microcontroller. The remote control application software is developed in the Arduino development environment. The implemented link was tested experimentally to check the range, data transfer speed and link stability. Test results show that LoRa transceiver modules can be used in the field of long-range remote control.

Cardiovascular diseases (CVDs) are a group of diseases with a very high rate of morbidity and mortality. The clinical presentation of CVDs can vary from asymptomatic to classic symptoms such as chest pain in patients with myocardial infarction. Current therapeutics for CVDs mainly target disease symptoms. The most common CVDs are coronary artery disease, acute myocardial infarction, atrial fibrillation, chronic heart failure, arterial hypertension, and valvular heart disease. In their treatment, conventional therapies and pharmacological therapies are used. However, the use of herbal medicines in the therapy of these diseases has also been reported in the literature, resulting in a need for critical evaluation of advances related to their use. Therefore, we carried out a narrative review of pharmacological and herbal therapeutic effects reported for these diseases. Data for this comprehensive review were obtained from electronic databases such as MedLine, PubMed, Web of Science, Scopus, and Google Scholar. Conventional therapy requires an individual approach to the patients, as when patients do not respond well, this often causes allergic effects or various other unwanted effects. Nowadays, medicinal plants as therapeutics are frequently used in different parts of the world. Preclinical/clinical pharmacology studies have confirmed that some bioactive compounds may have beneficial therapeutic effects in some common CVDs. The natural products analyzed in this review are promising phytochemicals for adjuvant and complementary drug candidates in CVDs pharmacotherapy, and some of them have already been approved by the FDA. There are insufficient clinical studies to compare the effectiveness of natural products compared to approved therapeutics for the treatment of CVDs. Further long-term studies are needed to accelerate the potential of using natural products for these diseases. Despite this undoubted beneficence on CVDs, there are no strong breakthroughs supporting the implementation of natural products in clinical practice. Nevertheless, they are promising agents in the supplementation and co-therapy of CVDs.

Uvod: Mišićno-koštani poremećaji uzrokovani radom (engl. Work-Related Musculoskeletal Disorders – WRMSDs) najčešća su oboljenja povezana s radom, a opisuju širok dijapazon degenerativnih i upalnih stanja. WRMSDs pogađaju milione radnika na području cijele Evrope i svijeta, a sami poslodavci zbog njihovih posljedica troše milijarde eura. Zdravstvo kao poseban sektor ima jednu od najvećih prevalenci radom uzrokovanih mišićno-koštanih poremećaja (MKP) u svijetu daleko ispred građevinarstva, rudarstva i proizvodnje. Ispitanici i metode: U istraživanje bilo je uključeno 177 zdravstvenih profesionalca oba spola koji su svojim radom aktivno uključeni u pružanje zdravstvenih usluga, kategorizirani prema životnoj dobi i vrsti radnih zadataka koje obavljaju u različitim položajima tijela u okviru svojih stručnih službi. Instrumenti koji su se koristili u istraživanju su standardizirani holandski upitnik za MKP (Dutch Musculoskeletal Discomfort Questionnaire – DMQ), standardizirani upitnik za procjenu indeksa radne sposobnosti (Work Ability Index – WAI) i ergonomski interventni program. Istraživanje je trajalo od januara 2021. do oktobra 2021. godine. Rezultati: Najveća učestalost MKP povezanih s radom kod zdravstvenih profesionalaca prije i poslije provođenja ergonomskog interventnog programa bila je u području vrata (83,1% prije, 64,9% poslije), u regiji gornjeg dijela leđa (71,8% prije, 56,5% poslije) te u regiji donjeg dijela leđa (68,4% prije, 55,9% poslije). Prosječna vrijednost indeksa radne sposobnosti prije uvođenja ergonomskog interventnog programa iznosila je 35,44±8,59, dok se poslije provedenog ergonomskog interventnog programa statistički signifikantno povećala i iznosila je 38,40±7,30. Zaključak: Ergonomski interventni program je utjecao na smanjenje učestalosti MKP uzrokovanih radom, i povećanje radne sposobnost zdravstvenih profesionalaca.

We consider the machinability of the material as a technological feature that expresses the ability of the material to remove the maximum number of shavings from its machined surface in the minimum time with satisfactory processing quality, with as little cutting force as possible and as little tool wear as possible. The aim of the experimental research in this work is to examine the significance of the influential kinematic parameters of the roughness of the machined surface, i.e. of wood density (ρ), feeding speed (s’) and the number of spiral cutting knices (z) in the process of planning massive wood on the roughness of the newly created processing surface, which will vary in 14 trials, of which 6 are repetitions in the central point of the compositional plan, where the roughness parameter Ra is obtained as an output value, and the analysis of experimental data from the point of view of possible achievement of a better quality of the processed surface. The obtained mathematical model is essentially applicable and can be used to optimize the machinability parameters in the planning process of solid wood, and the experimental results can be used in further research into other parameters of the machinability of solid wood in the planning process.

Paper presents comparative analysis of experimental and analytical results of mechanical properties on truss members. Deformations are experimentally determined on the model of plexiglass truss, using six strain gauges. Strain gauges are measuring the deformation of truss members at the pre-defined measuring points. Knowing modulus of the elasticity and Hooke’s law, it is possible to calculate the stress values. The experimental stress values will be compared with the values obtained by the software and the results will be analyzed.

Abstract Cancer of the cervix has a progressive character and is one of the most significant public health problems in many countries. Our research aimed to translate EORTC QLQ CX 24 (European Organization for Research and Treatment of Cancer; Quality of life questionnaire-cervical cancer 24) from English to Serbian, to create essential cultural adaptations and to analyze psychometric properties of the translation in a model of female inpatients with cancer of the cervix. The QLQ CX 24 was translated and adapted according to internationally established guidelines, and then tested on a sample of 100 Serbian females with cancer of the cervix. The testing was repeated three times on the same patients. We calculated the internal consistency (Cronbach’s alpha), criterion validity, convergent validity, and discriminative validity of the QLQ CX 24. We used factor analysis to discover the original construct. The Serbian translation of QLQ CX 24 showed good internal consistency, showed satisfactory reliability, and temporal stability. In the first, when was rated by the investigators Cronbach’s alpha was 0.607, and one month later when the questionnaire also was rated by investigators Cronbach’s alpha was 0.696. When the scale was rated by females themselves Cronbach’s alpha was 0.802. Divergent as well as convergent validity tests had good results. The factorial analysis exposed six domains. The Serbian translation of QLQ CX 24 is a trustworthy and appropriate specific instrument for measuring the quality of life in females with cervical cancer.

In the past ten years, there has been significant growth in tourism worldwide, including in Bosnia and Herzegovina. The tourism sector is facing a series of challenges and limitations in the general business environment due to the COVID-19 pandemic, as is the entire global economy. The current pandemic has slowed down the growth of world tourism and thus led to the poorer performance of private tourism subjects and an increase in unemployment in the sector. This study aims to analyse the habits of the inhabitants of Bosnia and Herzegovina and the changes in behaviour caused by the COVID-19 pandemic. The two main questions entertained are: whether socio-demographic variables influenced the intention to travel during the COVID-19 pandemic, and whether tourist travel habits influenced the intention to travel during the COVID-19 pandemic. The study uses a quantitative research approach that included data collection through an online survey. The questionnaire link was distributed electronically, via Facebook (social network), and e-mail. The population included in this research are the inhabitants of Bosnia and Herzegovina. The convenience sample included 265 respondents and the research was conducted for one and a half months (from March 2, 2022 to May 17, 2022). The results of the research show that socio-demographic factors influenced the intention to travel during the COVID-19 pandemic and that respondents who own a car would travel more in 2022 than respondents who do not own a car; that respondents aged 31-50 would travel more in 2022 than the older respondents, that respondents who are employed would travel more in 2022 than pensioners, that respondents living in a household of 1-2 members would travel more in 2022 than respondents living in a household of 5 or more members, that respondents with postgraduate studies would travel more in 2022 than respondents with elementary studies only and that respondents with a monthly income of over 2,500 BAM would travel more in 2022 than respondents with monthly income between 500 to 1,500 BAM. The results also show that those respondents who travelled frequently before the COVID-19 pandemic would travel less in 2022 in the context of the current situation of the COVID-19 pandemic.

Abstract Background Almost 50% of NSCLC patients who initially show a successful response to tyrosine kinase inhibitors targeted therapy (TKI therapy) eventually develop acquired EGFR T790M mutation. The T790M secondary mutation can cause resistance to the targeted therapy and disease relapse. Since this mutation can be present at very low frequencies in liquid biopsy samples, droplet digital PCR (ddPCR), due to its high sensitivity, has opened the possibility for minimally invasive monitoring of the disease during TKI targeted therapy. Materials and methods For this study, a total of 45 plasma samples from NSCLC patients with previously detected EGFR-activating mutations were analyzed. Extracted circulating free DNA was amplified and examined for the presence of T790M mutation using ddPCR technology. For the data analysis, QuantaSoft Software was used. Results Of 45 tested plasma samples, a total of 14 samples were identified as positive for the T790M mutation. The same samples eventually showed the presence of T790M mutation in FFPE. Droplet digital PCR showed its great advantage in high sensitivity detection of rare allele variants. Our ddPCR assay detected T790M mutant allele in frequencies from 0.1%. The average number of droplets generated by ddPCR was 9571. Conclusion Monitoring of the T790M mutation has an important role in the examination of the effects of the prescribed TKI therapy. Since monitoring of potential changes during TKI therapy requires repeated sampling, our results showed that ddPCR technology has made it possible to use liquid biopsy as an adequate minimally invasive alternative for single nucleotide polymorphisms (SNP) detection.

Increased number of children with autism spectrum disorder (ASD) has also heightened interest in finding and providing appropriate interventions. Early intervention is implemented at the moment when deviations are noticed, without waiting for an official diagnosis. Parents are crucial participants in interventions carried out with children; therefore, this research considers interventions focused on training parents to work with children with ASD up to the age of six. For the purposes of this paper, we searched the following journals: Autism, Focus on Autism and Other Developmental Disabilities, and Research in Autism. The search was limited to editions from 2012 to 2022, and the following keywords were considered: parent training, early intervention, autism. References were searched manually. The initial search yielded a total of 992 articles. Twenty-four studies related to children up to six years old and involving parent training in early intervention were included in the analysis. Using a tool for assessing quantitative studies, the selected studies were evaluated, with each component assessed based on the information contained in the study as good, moderate, or weak. The overall rating for the paper can be strong, moderate, or weak. This paper highlights the importance of support to enhance parental competencies.

To provide seamless wireless coverage, the air-to-ground (A2G) heterogeneous wireless network is considered as one of the most promising solutions. In this article, we develop a novel A2G communication-caching-charging (3C) integrated network based on non-orthogonal multiple access (NOMA). As a significant participant of A2G network, unmanned aerial vehicle (UAV), which harvests energy from the base station (BS) with the aid of wireless power transfer (WPT), is utilized as content server to cache files and serve users. To be specific, we first propose a resource allocation strategy to enhance the quality of service (QoS) of ground users. The goal is to minimize the transmission latency of ground users, which is decomposed into sub-problems, such as user pairing, files' power allocation and users' power allocation. Firstly, we propose a NOMA user pairing algorithm based on K-means to deploy UAVs and pair users. Then, the closed-form solution for files' power allocation with the goal of maximizing the duration for energy harvesting is formulated. Finally, we apply the genetic algorithm (GA) to obtain power allocation factors to increase users' rate and the reminder time of content delivery phase is utilized for energy harvesting. Simulation results validate the advantage of the proposed strategy in reducing user delay than benchmark schemes.

In this article, we propose a few-shot indoor position method based on Triplet Matchnet, which transforms coordinate positioning into channel state information (CSI) similarity matching problem. Triplet loss is designed to train and learn hidden correspondence between CSI features and physical space positions, with emphasis on minimizing distance or angle-based triplet loss. Then, according to pre-trained network with best similarity match, a similarity score map of CSI with unknown coordinates is constructed to predict position precisely. Experimental results show that angle-based triplet loss can obtain more accurate CSI fingerprint similarity matching accuracy. Compared with existing methods, experiment results confirm that our proposed method can achieve excellent positioning performance with few-shot datasets.

To establish more intelligent cellular networks for future ubiquitous access and heterogeneous devices, we need to obtain channel state information (CSI) in a more agile and economical manner, especially for frequency division duplexing (FDD) massive multiple-input multiple-output (MIMO) architectures. Unlike conventional CSI feedback or limited feedback methods, we can predict downlink CSI by leveraging channel reciprocity between uplink and downlink. The downlink CSI prediction can be formulated as a data-driven deep learning task, however, there exist isolated data silos and online adaptation problem for the offline trained neural network-based models. In this article, we propose an interacting federated and transfer learning (IFTL) based framework for downlink CSI prediction and online update, where several factors including asynchrony of different clients are considered, and light heterogeneity of diverse cells can be tolerated. Both model-level and link-level simulations are conducted under standardized FDD massive MIMO scenarios. The results outline promising prospect and potential of the utilization of federated learning and transfer learning in physical layer of wireless communications.

Specific emitter identification (SEI) is a potential physical layer authentication technology, which is one of the most critical complements of upper layer authentication. Radio frequency fingerprint (RFF)-based SEI is to distinguish one emitter from each other by immutable RF characteristics from electronic components. Due to the powerful ability of deep learning (DL) to extract hidden features and perform classification, it can extract highly separative features from massive signal samples, thus enabling SEI. Considering the condition of limited training samples, we propose a novel few-shot SEI (FS-SEI) method based on interpolative metric learning (InterML) which gets rid of the dependence on auxiliary dataset. Specifically, InterML is designed to mine more implicit samples in the sample space to improve generalization, and constrain the feature distance in the feature space to improve discriminability. The proposed InterML-based FS-SEI method is evaluated on a real-world Wi-Fi dataset. The simulation results show that the proposed method achieves better identification performance, higher feature discriminability and more stable performance than five latest FS-SEI methods. In the 10 shot scenario, the identification accuracy of InterML is 91.48%, compared to the comparison methods, the accuracy is improved by 0.62%–31.29%.