While examining biomedical signals, signal classification as well as measurements, quantifications and their assessment is very important for studying different diseases and disorders. Through this paper, we have focused on different signals and biomedical devices, whose purpose is to give high quality information about diseases and disorders in prenatal age. The main focus was on ultrasound techniques and the relationship between 2D, 3D and 4D ultrasound, on Doppler ultrasound, cardiotocography, KANET test, and in general, comparison of standardized and automated techniques. Purpose of this paper is to compare some of the available techniques used to assess the fetus in the womb, how they advance through time and whether they are being automated.

As a consequence of the progress of the modern mobile medicine, wearable technologies, especially ECG wearables tend to become indispensable part of peoples' lives. As applications and devices for tracking cardiac electrical activity are rapidly entering the market, it is important to compare individual ECG wearable devices. This review takes a systematic approach on the analysis of wearable ECG devices. It provides a detailed introduction on the updated methods, to create a comparison between individual features of devices, and to evaluate techniques for fall risk assessment, diagnosis, and prevention. PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) instructions were used as a report standard. In an effort to collect the appropriate data, various databases were queried together with specific subject-oriented keywords. This was combined with different inclusion and exclusion criteria to find the relevant data. To further improve the data gathering and reduce bias, a Zotero tool was used. The results of this paper show the comparison of the different devices and their features. All findings can be observed in the table and in words. As information for the QardioCore are scarce, all six authors consolidated on the VitalCore being the most accurate ECG wearable device, as its sensitivity and specificity are the highest. Recent advances in wearable ECG devices allow for more trouble free out of clinic fall risk assessment, detection and prevention. As people tend to prefer the comfort of their home over doctors, such progress will assure the everyday emerging of new wearables.

In this paper, a measurement campaign for off-body communications in an indoor environment is investigated for a set of on-body antennas. The channel impulse response was measured with the user approaching and departing from an off-body fixed antenna using two user dynamics, standing at fixed positions and walking. The processing of the measurement data allowed to evaluate system loss statistics. Different antenna configurations are classified in terms of mobility and visibility depending on the on-body antenna placement. A dependence on distance is found for the antennas with the lowest mobility (chest and head), while no significant dependence is found for the antennas with the highest mobility (arms and legs). Regarding the standard deviation of system loss, higher values are found in walking scenarios (above 1.0 dB) compared to the standing ones (below 0.6 dB) showing a clear dependence on mobility.

—The power system state estimation (SE) algorithm estimates the complex bus voltages based on the available set of measurements. Because phasor measurement units (PMUs) are becoming more widely employed in transmission power systems, a fast SE solver capable of exploiting PMUs’ high sample rates is required. To accomplish this, we present a method for training a model based on graph neural networks (GNNs) to learn estimates from PMU voltage and current measurements, which, once it is trained, has a linear computational complexity with respect to the number of nodes in the power system. We propose an original GNN implementation over the power system’s factor graph to simplify the incorporation of various types and numbers of measurements both on power system buses and branches. Fur-thermore, we augment the factor graph to improve the robustness of GNN predictions. Training and test examples were generated by randomly sampling sets of power system measurements and annotated with the exact solutions of linear SE with PMUs. The numerical results demonstrate that the GNN model provides an accurate approximation of the SE solutions. Additionally, errors caused by PMU malfunctions or the communication failures that make the SE problem unobservable have a local effect and do not deteriorate the results in the rest of the power system.

The text is a review of the book Ka filozofiji prava kao filozofiji ljudskih prava written by Jasminka Hasanbegović and published by Dosije studio, Belgrade, 2021.

Classification problems have been part of numerous real-life applications in fields of security, medicine, agriculture, and more. Due to the wide range of applications, there is a constant need for more accurate and efficient methods. Besides more efficient and better classification algorithms, the optimal feature set is a significant factor for better classification accuracy. In general, more features can better describe instances, but besides showing differences between instances of different classes, it can also capture many similarities that lead to wrong classification. Determining the optimal feature set can be considered a hard optimization problem for which different metaheuristics, like swarm intelligence algorithms can be used. In this paper, we propose an adaptation of hybridized swarm intelligence (SI) algorithm for feature selection problem. To test the quality of the proposed method, classification was done by k-means algorithm and it was tested on 17 benchmark datasets from the UCI repository. The results are compared to similar approaches from the literature where SI algorithms were used for feature selection, which proves the quality of the proposed hybridized SI method. The proposed method achieved better classification accuracy for 16 datasets. Higher classification accuracy was achieved while simultaneously reducing the number of used features.

The aim of the paper is to investigate the impact of SEO on the business performance of a private university in Sarajevo. Thus, the main research question provides the finding on how does the implementation of SEO influence the performance of the business. Moreover, the tested hypothesis presents whether SEO positively influences the business performance of International Burch University (IBU). The research strategy is to analyze primary data derived from a case study, which is generated following a conversation with the Head of the IBU Marketing and PR team. The data sample is derived from Google Analytics (focusing on the number of visits and sessions, average engagement time, keywords and SERP positioning). Seobility tools are employed in data analysis. Business performance is calculated through the IBU CRM system, focusing on student enrolment. Findings indicate that increasing a site's rankings on search engine results pages (SERPs) led to a variety of positive outcomes for companies including an increase in the number of visitors to the site, an increase in the average amount of time users spent on the site, increased user engagement, and an increase in student enrollment, which resulted in IBU increased annual sales revenue. It will benefit many different groups, including the government, which will benefit in both microeconomic and macroeconomic senses, digital marketing enthusiasts and SEO experts, and the academic world, which will benefit as a framework for future studies and research in the field of SEO recognition and implementation in business queries.

Este trabalho irá abordar sobre a criação das rodovias que se mantêm em efeitos ambientais, a fim de inserir qualidade em seu uso e das disposições das faunas que as insere, por vez que se observa os fragmentos que se exercem por decorrência das pressões que sofrem. Por isso, foi abordado os aspectos e maneiras que isso se estrutura, forma essa que sobre os efeitos se dispõe e classifica as contemplações das rodovias. As garantias de requisitos tornam que o surgimento das passagens e o funcionamento contribua na biodiversidade. Como intuito de enfatizar os procedimentos e recursos que se aproveitam nas suas apresentações, distribuindo assim trechos de rodovias ecológicas pelo Brasil. Os impactos fornecem sobre a fauna métodos de diminuir qualquer tipo de acidente em rodovias, em principal pelas mortes de animais que são gerados nos perigos dos trechos. Contudo, se elabora o controle de melhoria, fazendo com que implante instalações seguras que diminua a incidência desses riscos gerados.

In this work, we present a novel multi-modal trajectory prediction architecture. We decompose the uncertainty of future trajectories along higher-level scene characteristics and lower-level motion characteristics, and model multi-modality along both dimensions separately. The scene uncertainty is captured in a joint manner, where diversity of scene modes is ensured by training multiple separate anchor networks which specialize to different scene realizations. At the same time, each network outputs multiple trajectories that cover smaller deviations given a scene mode, thus capturing motion modes. In addition, we train our architectures with an outlier-robust regression loss function, which offers a trade-off between the outlier-sensitive L2 and outlier-insensitive L1 losses. Our scene anchor model achieves improvements over the state of the art on the INTERACTION dataset, outperforming the StarNet architecture from our previous work.

Abstract Banat Naked Neck is the most important indigenous breed of chickens in Serbia. Marginalized until recently, it is becoming increasingly popular due to its adaptability and good productivity in alternative production systems. However, its history and the current breeding model pose challenges for breed preservation and future improvement. This study aimed to assess the genetic diversity and structure of four subpopulations of Banat Naked Neck from different districts in Serbia (West Backa, North Banat, South Banat and Kolubara) using D-loop mitochondrial DNA sequences and a set of 30 microsatellite markers. Seven haplotypes in the phylogenetic analysis of D-loop mitochondrial DNA suggested maternal origin related to the Indian subcontinent, while haplotype and nucleotide diversity averaged 0.731 ± 0.053 and 0.0067 ± 0.0018, respectively. Microsatellite genotyping showed an average detected number of alleles per locus of 5.129 ± 0.237, while the observed and expected heterozygosity averaged 0.560 ± 0.018 and 0.631 ± 0.014, respectively. Genetic differentiation estimated through FST was 0.051 (p < .001). Two clusters in STRUCTURE analysis showed possible separation of two older subpopulations (South Banat and Kolubara) from the two more recent ones (West Backa and North Banat). This first comprehensive study of genetic diversity serves as the basis for future preservation, use and improvement of the Banat Naked Neck breed.

Uvod: Depresivnost, anksiozonost i stres predstavljaju značajan javnozdravstveni problem kako u svijetu, tako i u Republici Srpskoj. Ovi mentalni poremećaji se učestalije javljaju kod pacijenata oboljelih od hroničnih bolesti. Cilj: Ispitati zastupljenost depresivnosti, anksioznosti i stresa kod oboljelih od hroničnih bolesti (hipertenzija, astma, hronična obstruktivna bolest pluća, dijabetes melitus, maligne bolesti, stanje poslije infarkta miokarda). Ispitati uticaj sociodemografskih faktora (pol, dob, stručna sprema, sadašnji radni status, porodični status) na prevalenciju depresivnosti, anksioznosti i stresa. Ispitati korišćenje anksiolitika za smanjenje prisutnih simptoma. Materijal i metode: Istraživanje je studija presjeka, provedena anketiranjem pacijenata starijih od 18 godina registrovanih u timovima porodične medicine Domu zdravlja Banja Luka u periodu od 1.08.2018. do 1.04.2019. Za procjenu postojanja anksioznosti, depresivnosti i stresa korištena je DASS– 21 skala, sociodemografski podaci su upisivani u samostalno kreiran upitnik. Pacijenti su izabrani iz registra pacijenata sa hroničnim bolestima. Rezultati: Istraživanjem je obuhvaćeno 405 pacijenata oboljelih od hroničnih bolesti. U odnosu na pacijente oboljele od drugih hroničnih bolesti u grupi pacijenata nakon infarkta miokarda statistički značajno najviše je bila izražena depresivnost (p=0.008, 95% CI 8.761-14.412); anksioznost (P= 0.002, 95% CI 19.2444-15.2038) i stres (p=0.016, 95% CI 13.130-18.655). U grupi pacijenata sa hroničnim bolestima 156 (38,5%) pacijenata koristi lijekove za smanjenje tegoba. Zaključak: Rezultati našeg istraživanja su pokazali visok nivo stresa, anksioznosti i depresivnosti kod pacijenata oboljelih od hroničnih bolesti, što upućuje na potrebu preduzimanja mjera za smanjenje stepena ovih mentalnih poremećaja.

The association between urine amylase levels and the development of post-operative complications after Whipple resection is still unknown. The aim of this study was to determine the prognostic value of urine amylase levels for post-operative complications in patients who underwent Whipple resection. In this retrospective-prospective cohort study we analyzed amylase levels in urine, serum, and drains in 52 patients who underwent Whipple resection preoperatively and on Post-operative Day 1 (POD1) after the intervention. Patients were followed up for 3 months to assess their predictive value for post-operative complications. In patients with complications, urine amylase levels were significantly higher on POD1 than before resection (198.89 ± 28.41 vs. 53.70 ± 7.44, p=0.000). Considering the sensitivity and specificity of the urine amylase level on POD1, an area under the ROC curve of 0.918 was obtained (p<0.001, 95% Confidence interval [CI]: 0.894-0.942). Patients with urine amylase levels ≥140.00 U/L had significantly higher risks of post-operative pancreatic fistula (POPF) grade C (definition of POPF done according to the ISGP) (RR:20.26; 95% CI: 1.18-347.07; p=0.038), readmission to hospital (RR: 6.61; 95% CI: 1.53-28.58; p=0.011), reoperation (RR: 5.67; 95% CI: 1.27-25.27; p=0.023), and mortality (RR:17.00; 95% CI: 2.33-123.80; p=0.005) than patients with urine amylase levels <140.00 U/L. Urine amylase levels on POD1 displayed strong and significant positive correlations with serum amylase levels (r=0.92, p=0.001) and amylase levels in drains (r=0.86, p=0.002). We can conclude that urine amylase levels on POD1 have good prognostic value for post-operative complications after Whipple resection and might be used as an additional predictive risk factor.

Due to the SARS-CoV-2 pandemic, the faculties have been met with the task of modifying the traditional teaching environment to remote teaching. During two semesters of remote teaching, the students of the Department of Psychology from the Faculty of Humanities and Social Sciences of University of Mostar have been assessing their skills of using technologies, their motivation for class attendance and assignment completion, as well as their time management skills; they have evaluated the teaching process, reported on technical difficulties and assessed the general satisfaction with the remote teaching process. The results of this research show that students have shown a greater assessment of skills of using technology during the second semester of the remote teaching process, while no difference was established in the level of motivation for class attendance and assignment completion, and no difference was found in time management skills between the two semesters. As far as the satisfaction with remote teaching is concerned, the students marked the teaching process with an average grade of “very good” in both semesters, although the mark “excellent” was given more frequently in the second semester than expected per case. The average grade of satisfaction with the teaching process offers insight into the efficacy of adaption to remote teaching, and also opens up space for further improvement.

Upper esophageal sphincter opening (UESO), and laryngeal vestibule closure (LVC) are two essential kinematic events whose timings are crucial for adequate bolus clearance and airway protection during swallowing. Their temporal characteristics can be quantified through time‐consuming analysis of videofluoroscopic swallow studies (VFSS).

Introduction This article aims at investigating social engagement in the fight against the COVID-19 pandemic in low-resource settings (LRSs). In particular, it focuses on Benin (Sub-Saharan Africa), and reports the results of a field study that investigated the local people's acceptance of the vaccine and the tracking program. Methods This project is the product of a collaboration between the ABSPIE (Applied Biomedical and Signal Processing E-Health) Lab of the University of Warwick (UK) and the LAMA (Laboratoire d'Antropologie Medical Appliqué) of the University of Abomey Calavi (Benin). This international multidisciplinary collaboration brought together engineers, sociologists, anthropologists, and bioethicists. In light of the aims of the project, a qualitative methodology was deemed appropriate. The research team prepared two questionnaires that provided the basis for semi-structured interviews that took place between June and August 2021. Results The research team interviewed 34 Beninese respondents, comprising people aged 60+ (with multiple comorbidities), who were primarily healthcare workers and/or traditional therapists. The results of this work highlight the fact that there is widespread reticence about the vaccination program in Benin, both due to local beliefs and uncertainty about governmental management. In this study, we uncovered several local reasons interfering with the involvement of the population in the vaccination campaign against COVID-19, e.g., the existence of traditional medical practices considered as valid alternatives to vaccines, and many beliefs showing a fear of neo-colonialism hidden in the pandemic threat. Yet, another hindrance can be traced to shortcomings in the management of the vaccination campaign which resulted in obstacles to the implementation of the program. Conclusions This work does not intend to denounce any governmental effort or foster a regressive mindset, but shows how the overall confusion (defined by the World Health Organization as infodemic) linked to the pandemic and its management has caused even more dramatic consequences in LRSs. In addition, the paper proposes a specific framework for the interpretation and management of bioethical and biomedical issues in LRSs that the authors are validating in their current research.