Holographic massive multiple-input multiple-output (MIMO), in which a spatially continuous surface is being used for signal transmission and reception, has emerged as a promising solution for improving the coverage and data rate of wireless communication systems. To realize these objectives, the acquisition of accurate channel state information in holographic massive MIMO systems is crucial. This paper proposes a channel estimation scheme based on a parametric physical channel model for line-of-sight (LoS) dominated communication in millimeter and terahertz wave bands. The proposed channel estimation scheme exploits the specific structure of the radiated beams generated by the continuous surface to estimate the channel parameters in a dominated LoS channel model. Since the number of unknown channel parameters is fixed regardless of the number of antennas, the training overhead of the proposed scheme does not scale with the number of antennas. The simulation results demonstrate that the proposed estimation scheme significantly outperforms other benchmark schemes in a poor scattering environment.

Smart lighting systems are based on sensors and tunable lighting systems are increasingly more prevalent, but collecting, analysing, and using the large data generated by these sensors are challenging. Inspired by research on evolutionary algorithms, it can be hypothesized that an adaptive lighting system can operate in real-time by adjusting its output through a decision-making algorithm based on data mining techniques. Such an adaptive lighting system requires two-order input from users; initial and continual. Initial conditions provide training to the system through human factors research investigating the interaction between humans and their environment. Continual conditions are provided by data collected through sensors in real-time, and they continuously feed into the decision-making algorithm to adjust the output to meet occupants’ biological and psychological needs. Research indicates that artificial intelligence techniques, such as evolutionary algorithms, can emerge as good candidates for this framework.

Estimating individualized treatment effects (ITEs) from observational data is crucial for decision-making. In order to obtain unbiased ITE estimates, a common assumption is that all confounders are observed. However, in practice, it is unlikely that we observe these confounders directly. Instead, we often observe noisy measurements of true confounders, which can serve as valid proxies. In this paper, we address the problem of estimating ITE in the longitudinal setting where we observe noisy proxies instead of true confounders. To this end, we develop the Deconfounding Temporal Autoencoder, a novel method that leverages observed noisy proxies to learn a hidden embedding that reflects the true hidden confounders. In particular, the DTA combines a long short-term memory autoencoder with a causal regularization penalty that renders the potential outcomes and treatment assignment conditionally independent given the learned hidden embedding. Once the hidden embedding is learned via DTA, state-of-the-art outcome models can be used to control for it and obtain unbiased estimates of ITE. Using synthetic and real-world medical data, we demonstrate the effectiveness of our DTA by improving over state-of-the-art benchmarks by a substantial margin.

BACKGROUND Motion tracking during live surgeries may be used to assess surgeons' intra-operative performance, provide feedback, and predict outcome. Current assessment protocols rely on human observations, controlled laboratory settings, or tracking technologies not suitable for live operating theatres. In this study, a novel method for motion tracking of live open-heart surgery was developed, and evaluated. MATERIALS AND METHODS Three-D-printed 'tracking die' with miniature markers were fitted to DeBakey forceps. The surgical field was recorded with a video camera mounted above the operating table. Software was developed for tracking the die from the recordings. The system was tested on five open-heart procedures. Surgeons were asked to report subjective system related concerns during live surgery and assess the weight of the die on blind test. The accuracy of the system was evaluated against ground truth generated by a robot. RESULTS The 3D-printed die weighed 6 g and tolerated sterilization with hydrogen peroxide, which added approximately 13% to the mass of the forceps. Surgeons sensed a shift in the balance of the instrument but could on blind test not correctly verify changes in weight. When two or more markers were detected, the 3D position estimate was on average within 2-3 mm, and 1.1-2.6 degrees from ground truth. Computational time was 30-50 ms per frame on a standard laptop. CONCLUSIONS The vision-based motion tracking system was applicable for live surgeries with negligible inconvenience to the surgeons. Motion data was extracted with acceptable accuracy and speed at low computational cost.

Detailed characterization of medullary and extramedullary reservoirs of osteoclast progenitors (OCPs) is required to understand the pathophysiology of increased periarticular and systemic bone resorption in arthritis. In this study, we focused on identifying the OCP population specifically induced by arthritis and the role of circulatory OCPs in inflammatory bone loss. In addition, we determined the relevant chemokine axis responsible for their migration, and targeted the attraction signal to reduce bone resorption in murine collagen-induced arthritis (CIA). OCPs were expanded in periarticular as well as circulatory compartment of arthritic mice, particularly the CCR2hi subset. This subset demonstrated enhanced osteoclastogenic activity in arthritis, whereas its migratory potential was susceptible to CCR2 blockade in vitro. Intravascular compartment of the periarticular area contained increased frequency of OCPs with the ability to home to the arthritic bone, as demonstrated in vivo by intravascular staining and adoptive transfer of splenic LysMcre/Ai9 tdTomato-expressing cells. Simultaneously, CCL2 levels were increased locally and systemically in arthritic mice. Mouse cohorts were treated with the small-molecule inhibitor (SMI) of CCR2 alone or in combination with methotrexate (MTX). Preventive CCR2/CCL2 axis blockade in vivo reduced bone resorption and OCP frequency, whereas combining with MTX treatment also decreased disease clinical score, number of active osteoclasts, and OCP differentiation potential. In conclusion, our study characterized the functional properties of two distinct OCP subsets in CIA, based on their CCR2 expression levels, implying that the CCR2hi circulatory-like subset is specifically induced by arthritis. Signaling through the CCL2/CCR2 axis contributes to OCP homing in the inflamed joints and to their increased osteoclastogenic potential. Therefore, addition of CCL2/CCR2 blockade early in the course of arthritis is a promising approach to reduce bone pathology.

The aim of this international multicentre study was to review potential drug–drug interactions (DDIs) for real‐life coadministration of combination antiretroviral therapy (cART) and coronavirus disease 2019 (COVID‐19)‐specific medications.

Sustainable technologies are being increasingly used in various areas of human life. While they have a multitude of benefits, they are especially useful in health monitoring, especially for certain groups of people, such as the elderly. However, there are still several issues that need to be addressed before its use becomes widespread. This work aims to clarify the aspects that are of great importance for increasing the acceptance of the use of this type of technology in the elderly. In addition, we aim to clarify whether the technologies that are already available are able to ensure acceptable accuracy and whether they could replace some of the manual approaches that are currently being used. A two-week study with people 65 years of age and over was conducted to address the questions posed here, and the results were evaluated. It was demonstrated that simplicity of use and automatic functioning play a crucial role. It was also concluded that technology cannot yet completely replace traditional methods such as questionnaires in some areas. Although the technologies that were tested were classified as being “easy to use”, the elderly population in the current study indicated that they were not sure that they would use these technologies regularly in the long term because the added value is not always clear, among other issues. Therefore, awareness-raising must take place in parallel with the development of technologies and services.

Regular curriculum modifications and the shift from a teacher-centered to a learner-centered paradigm in educational institutions are meant to enhance the teaching-learning process and fulfill learners' needs as successfully as possible. This study aimed to examine learners' attitudes towards learning English, their needs/wants, learning preferences, strategies, and lesson topics. Moreover, it also investigated the differences in learning preferences based on grade level.  The data were gathered from a survey administrated to 200 elementary school students in Central Bosnia and Herzegovina. The findings illustrated that the participants generally have a positive attitude towards learning English with more significant extrinsic reasons motivating them to learn it. Regarding students' needs, the analysis revealed that overall, students found writing the most challenging and speaking the most desirable language skill. Furthermore, the majority of the participants reported that they like to learn by reading texts or stories, finding the discussion in the classroom the most annoying classroom activity. While learning vocabulary by translating new words is regarded as the most beneficial method, doing written exercises at school presents the most significant way of acquiring grammar. Moreover, the study identified a significant influence of a grade level on the preferred ways of learning English.

The objective of this study was to determine and compare the antimicrobial resistance profiles of clinical Staphylococcus pseudintermedius (n = 90) and Staphylococcus aureus (n = 61) isolates from different animal species in Bosnia and Herzegovina. Among S. pseudintermedius isolates from dogs (n = 86), resistance to penicillin (87.2%) was most common followed by amoxicillin (76.7%) and amoxicillin/clavulanic acid (67.4%). A total of 25 isolates were found to be resistant to oxacillin of which 21 were mecA-positive and multidrug resistant (MDR). The most frequent MDR pattern was penicillins-lincosamides-cephalosporins-macrolides-fluoroquinolones. Among the 61 methicillin-susceptible S. pseudintermedius isolates, 18 were MDR (penicillins-lincosamides-macrolides). Most of S. aureus isolates were resistant to penicillin (50.8%), followed by amoxicillin (41%) and amoxicillin/clavulanic acid (31%). Resistance to cefoxitin was detected in only two isolates. All S. aureus isolates were mecA and mecC-negative. MDR was observed in six S. aureus isolates of which five were from cattle (penicillins-lincosamides-fluoroquinolones). Isolates from red foxes (Vulpes vulpes) were sensitive to most of the antimicrobials tested. The high number of methicillin-resistant S. pseudintermedius and MDR isolates in dogs exposed in this study underlines the urgent need for establishment of national antimicrobial resistance surveillance program in animals in the country, as well as for the surveillance of veterinary antimicrobial consumption.

Argumentation or reasoning is the part of rhetorical activities in which the subjects of speech make statements that support their basic thesis, or do everything to convince listeners of the truth of their own, and the falsity of the claims of others. This is done in principle in order to convince certain subjects and thus direct their actions as the speaker arguing the claims wants. By this we mean that argumentation is a means, mechanism, or art of influencing human thought and behavior. This paper deals with this issue. The paper will systematically present the importance of argumentation for legal rhetoric. First of all, special attention will be paid to some basic concepts and clarification of the terms argument and argumentation. Then we will turn to the question of the theory of argumentation, where the author of the paper will present some of his views on these issues, and in connection with legal rhetoric. There will be a discussion on the importance of argumentation of the mind in oratory, and show what the power of arguments is in legal rhetoric through the example of judicial oratory. People use rhetoric on a daily basis and give reasons that go in their favor, that is, contrary to the claims of others. This is almost the rule in everyday speech. This issue is particularly important in the field of law. As the type and manner of presenting arguments (but also argumentation errors) can significantly affect the outcome of a certain legal situation, we therefore consider it of great importance to study argumentation in legal rhetoric. I believe that this work will contribute at least a little in this field.

Brain parenchyma infiltration with glioblastoma (GB) cannot be entirely visualized by conventional magnetic resonance imaging (MRI). The aim of this study was to investigate changes in the energy and membrane metabolism measured with phosphorous MR spectroscopy (31P-MRS) in the presumably “normal-appearing” brain following chemoradiation therapy (CRT) in GB patients in comparison to healthy controls. Twenty (seven female, thirteen male) GB patients underwent a 31P-MRS scan prior to surgery (baseline) and after three months of standard CRT (follow-up examination. The regions of interest “contrast-enhancing (CE) tumor” (if present), “adjacent to the (former) tumor”, “ipsilateral distant” hemisphere, and “contralateral” hemisphere were compared, differentiating between patients with stable (SD) and progressive disease (PD). Metabolite ratios PCr/ATP, Pi/ATP, PCr/Pi, PME/PDE, PME/PCr, and PDE/ATP were investigated. In PD, energy and membrane metabolism in CE tumor areas have a tendency to “normalize” under therapy. In different “normal-appearing” brain areas of GB patients, the energy and membrane metabolism either “normalized” or were “disturbed”, in comparison to baseline or controls. Differences were also detected between patients with SD and PD. 31P-MRS might contribute as an additional imaging biomarker for outcome measurement, which remains to be investigated in a larger cohort.

In the Roman legal tradition, but also in modern civil law systems, the term commorientes (lat. commorientes) refers to persons who died in the same accident or other danger, standing in a legal position relevant to inheritance law. In connection with the resolution of such situations in the theory of private law, various legal presumptions have been developed since the period of classical Roman law. All these presumptions can be systematized within two basic concepts - the first based on the presumption of survival of subjects and the second based on the presumption of the simultaneous death of subjects. Comparatively, in the development of European private law, there has been a reception of both concepts, with the proviso that over time the concept of simultaneity will almost completely suppress the concept of survival. The paper analyzes the reasons for this. In establishing a link between Roman roots and European private law, special attention is given to the possibility of applying presumptions in cases where there is a certain spatial or temporal distance between the deaths of persons or if a different cause has led to fatal consequences. Ultimately, the paper clearly points to the importance of Roman rules, which can sometimes be fundamental in understanding the institutes of contemporary private law.

Abstract The Balkan Peninsula and the Dinaric Mountains possess extraordinary biodiversity and support one of the largest and most diverse wolf (Canis lupus) populations in Europe. Results obtained with diverse genetic markers show west‐east substructure, also seen in various other species, despite the absence of obvious barriers to movement. However, the spatial extent of the genetic clusters remains unresolved, and our aim was to combine fine‐scale sampling with population and spatial genetic analyses to improve resolution of wolf genetic clusters. We analyzed 16 autosomal microsatellites from 255 wolves sampled in Slovenia, Croatia, Bosnia and Herzegovina (BIH), and Serbia and documented three genetic clusters. These comprised (1) Slovenia and the regions of Gorski kotar and Lika in Croatia, (2) the region of Dalmatia in southern Croatia and BIH, and (3) Serbia. When we mapped the clusters geographically, we observed west‐east genetic structure across the study area, together with some specific structure in BIH–Dalmatia. We observed that cluster 1 had a smaller effective population size, consistent with earlier reports of population recovery since the 1980s. Our results provide foundation for future genomic studies that would further resolve the observed west‐east population structure and its evolutionary history in wolves and other taxa in the region and identify focal areas for habitat conservation. They also have immediate importance for conservation planning for the wolves in one of the most important parts of the species’ European range.

Columnar microstructures are critical for obtaining good resistance switching properties in SiO x resistive random access memory (ReRAM) devices. In this work, the formation and structure of columnar boundaries are studied in sputtered SiO x layers. Using TEM measurements, we analyze SiO x layers in Me–SiO x –Mo heterostructures, where Me = Ti or Au/Ti. We show that the SiO x layers are templated by the Mo surface roughness, leading to the formation of columnar boundaries protruding from troughs at the SiO x /Mo interface. Electron energy-loss spectroscopy measurements show that these boundaries are best characterized as voids, which in turn facilitate Ti, Mo, and Au incorporation from the electrodes into SiO x . Density functional theory calculations of a simple model of the SiO 2 grain boundary and column boundary show that O interstitials preferentially reside at the boundaries rather than in the SiO 2 bulk. The results elucidate the nature of the SiO x microstructure and the complex interactions between the metal electrodes and the switching oxide, each of which is critically important for further materials engineering and the optimization of ReRAM devices.