Abstract The paper aims to identify the possibility of positioning the profession of forensic accountant in the financial sector of the Federation of Bosnia and Herzegovina (hereinafter FBiH). To answer the question of how the profession of forensic accountant could be introduced into the financial sector, qualitative research was conducted using the method of interviews with respondents who have many years of experience in the financial sector of FBiH.

Uvod: Heterogena priroda akutne mijeloične leukemije (AML) iziskuje primjenu specifičnih i pouzdanih laboratorijskih testova pri postavljanju dijagnoze. Istraživanja ukazuju na određene nedostatke konvencionalnih morfoloških i imunofenotipskih metoda, ali i potrebu za imple-mentacijom kompleksnog dijagnostičkog algoritma koji uz navedene metode inkorporira citogenetičke i molekularno-genetičke analize u integrirani dijagnostički pristup. Cilj: Predstaviti prednosti i nedostatke integriranog dijagnostičkog pristupa u dijagnostici akutne mijeloične leukemije. Metode: Za potrebe neeksperimentalnog kvalitativnog istraživanja, pretražene su relevantne baze podataka (PubMed, Scopus i Web of Science). Pretraga baza u širem opsegu provedena je uz pomoć ključnih riječi acute myeloid leukemia, cytomorphology, flow cytometry, cytogenetic abnormalities i molecular diagnostics. Za konačnu analizu, odabrani su naučni radovi koji zadovoljavaju kriterije relevantnosti i povezanosti s postavljenim ciljem i temom istraživanja. Rezultati: Integracija dijagnostičkih modaliteta u AML predstavlja veliki izazov zbog kontinuriane složenosti i opterećenja za zdravstvene profesionalce. Kao značajne prednosti izdvajaju se mogućnost umrežavanja rezultata različitih dijagnostičkih modaliteta, te detekcija nespecifičnih i izazovnih slučajeva AML. Prijavljeni nedostaci se odnose na potrebu za jedinstvenim protokolima, nepredvidiv turnaround time, validaciju i potrebu za visoko specija-liziranim osobljem. Danas se sve više pažnje pridaje AI (engl. artifical intelligence) i njenoj sposobnosti da obradi podatke s ciljem pružanja brzih i preciznih dijagnostičkih i prognostičkih informacija što predstavlja obećavajući koncept u AML-u. Usvajanje ove paradigme znatno bi olakšalo trenutne pristupe i unaprijedilo koncept zdravstvene zaštite. Zaključak: Integrirani dijagnostički pristup ima za cilj poboljšati kvalitet pojedinačnih metoda primjenom dosadašnjih saznanja i paralelnim testiranjem novih mogućnosti. S razvojem precizne medicine, ovaj dijagnostički model će u budućnosti dobiti dodatni značaj. Neovisno od utvrđenih prednosti i nedostatka, dostupna istraživanja ukazuju na nužnost dodatnih napora i primjenu AI za uspostavljanje standardiziranog integriranog pristupa na globalnom nivou.

The Aether-Scalar-Tensor (AeST) theory is an extension of General Relativity (GR) which can support Modified Newtonian Dynamics (MOND) behaviour in its static weak-field limit, and cosmological evolution resembling ΛCDM. We consider static spherically symmetric weak-field solutions in this theory and show that the resulting equations can be reduced to a single equation for the gravitational potential. The reduced equation has apparent isolated singularities at the zeros of the derivative of the potential and we show how these are removed by evolving, instead, the canonical momentum of the corresponding Hamiltonian system that we find. We construct solutions in three cases: (i) in vacuum outside a bounded spherical object, (ii) within an extended prescribed source, and (iii) for an isothermal gas in hydrostatic equilibrium, serving as a simplified model for galaxy clusters. We show that the oscillatory regime that follows the Newtonian and MOND regimes, obtained in previous works in the vacuum case, also persists for isothermal spheres, and we show that the gas density profiles in AeST can become more compressed than their Newtonian or MOND counterparts. We construct the Radial Acceleration Relation (RAR) in AeST for isothermal spheres and find that it can display a peak, an enhancement with respect to the MOND RAR, at an acceleration range determined by the value of the AeST weak-field mass parameter, the mass of the system and the boundary value of the gravitational potential. For lower accelerations, the AeST RAR drops below the MOND expectation, as if there is a negative mass density. Similar observational features of the galaxy cluster RAR have been reported. This illustrates the potential of AeST to address the shortcomings of MOND in galaxy clusters, but a full quantitative comparison with observations will require going beyond the isothermal case.

Uvod: Biotin, vitamin H ili vitamin B7, je topiv u vodi i neophodan je za reakcije karboksilacije, glukoneogenezu i metabolizam aminokiselina. Preporučena doza za odrasle je 0,03-0,06 mg/dan. Terapija visokim dozama biotina medicinski je indicirana za urođene pogreške metabolizma (nedostatak biotinidaze) i određene oblike alopecije, obično u dozama 5-10 mg/dan. U kliničkom ispitivanju je primjena biotina u dozi od 300 mg/dan kao tretman za progresivnu multiplu sklerozu. Materijal i metode: Streptavidin i manjim dijelom avidin nekovalentno se vežu za biotin s posebno jakim afinitetom, a trajnost te interakcije iskorištava se u laboratorijskim tehnikama kao što su western blot, protočna citometrija, imunohistokemija i imunohemijski testovi. Prema trenutačnim istraživanjima, poznato je da biotin uzrokuje interferencije u imunohemijskim testovima. Biotin ima sposobnost vezanja na različite molekule (biotinilacija) uz minimalne promjene u funkcionalnih ili antigenskih svojstava. Interferencije sa biotinom uključuju brojne imunohemijske testove kao što su proteini i steroidni hormoni, tumorski markeri, mikronutrijenti i lijekovi. Rezultati: Biotin može lažno povećati ili smanjiti rezultate u kompetitivnome i nekompetitivnome “sendvič” imunohemijskom testu. Niža povećanja vrijednosti obično se čine manje značajnima u usporedbi s visokim odstupanjima kod povišenih koncentracija biotina, ali mogu biti od terapijske i dijagnostičke važnosti. Osobito za procjenu hormona štitnjače (T3, T4, fT3, fT4), steroidnih hormona (kortizol, progesteron, testosteron i estradiol) kao i vitamina B12 i folne kiseline u slučaju postojeće interferencije biotina teško će se razlikovati deficit, referentna vrijednost odnosno povećanje. Interferencija sa biotinom mogla bi se ukloniti sa serijskim razblaženjem uzorka, ponavljanjem analize na drugoj metodi koja ne koristi biotin, utvrđivanjem koncentracije biotina i uklanjanjem biotina prije nego što se uzorak testira. Zaključak: Preporuka je da pacijent prestane sa terapijom biotina 3 dana prije uzorkovanja krvi odnosno 14 dana ako se koriste visoke doze biotina.

Introduction: Laboratory professionals (LP) are exposed to various hazards in the workplace, whose direct and/or cumulative effects can lead to the development of health disorders of varying severity. Our study aims to assess the level of occupational risk in biomedical laboratories. Subjects and methods: A cross-sectional study was conducted between November 2020 and February 2021. The study included LP of all profiles in Europe, and the territorial affiliation of the respondents formed the basis for the formation of the groups studied. A validated questionnaire used for data collection was distributed online through the networks of professional associations. Based on the type of agent, frequency of exposure, characteristics of the workplace and work process, and individual factors, an occupational risk assessment matrix was created in categories ranging from low to very high. Descriptive and inferential statistical methods with a statistical significance threshold of 5% (p ≤ 0.05) were used for the statistical analysis. Results: Significant differences in risk categorization were found between the groups studied (p < 0.001). Overall, 81.2% of LP in the European Union fall into the medium risk category, while more than half (52.1%) of LP and 1.7% of LP in Bosnia and Herzegovina fall into the high and very high risk categories. Higher education, service longer than 21 years, public sector, and biochemistry laboratory were identified as predictors of high risk, while predictors of very high risk were higher education, service of 21 to 30 years, public sector, and histopathology and molecular laboratories. Conclusions: Lack of equipment, organizational issues and working conditions were identified as weak points that directly correlate with risk levels in biomedical laboratory workplaces. Additional efforts to control exposure in biomedical laboratories are needed to maintain the health of LP.

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.

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.

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%.

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.

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.