This document presents an algorithm for a non-obtrusive recognition of Sleep/Wake states using signals derived from ECG, respiration, and body movement captured while lying in a bed. As a core mathematical base of system data analytics, multinomial logistic regression techniques were chosen. Derived parameters of the three signals are used as the input for the proposed method. The overall achieved accuracy rate is 84% for Wake/Sleep stages, with Cohen’s kappa value 0.46. The presented algorithm should support experts in analyzing sleep quality in more detail. The results confirm the potential of this method and disclose several ways for its improvement.

The interaction of robot teams and single human in teleoperation scenarios is beneficial in cooperative tasks, for example, the manipulation of heavy and large objects in remote or dangerous environments. The main control challenge of the interaction is its asymmetry, arising because robot teams have a relatively high number of controllable degrees of freedom compared to the human operator. Therefore, we propose a control scheme that establishes the interaction on spaces of reduced dimensionality taking into account the low number of human command and feedback signals imposed by haptic devices. We evaluate the suitability of wearable haptic fingertip devices for multi-contact teleoperation in a user study. The results show that the proposed control approach is appropriate for human–robot team interaction and that the wearable haptic fingertip devices provide suitable assistance in cooperative manipulation tasks.

Diabetes is a large healthcare burden worldwide. There is substantial evidence that lifestyle modifications and drug intervention can prevent diabetes, therefore, an early identification of high risk individuals is important to design targeted prevention strategies. In this paper, we present an automatic tool that uses machine learning techniques to predict the development of type 2 diabetes mellitus (T2DM). Data generated from an oral glucose tolerance test (OGTT) was used to develop a predictive model based on the support vector machine (SVM). We trained and validated the models using the OGTT and demographic data of 1,492 healthy individuals collected during the San Antonio Heart Study. This study collected plasma glucose and insulin concentrations before glucose intake and at three time-points thereafter (30, 60 and 120 min). Furthermore, personal information such as age, ethnicity and body-mass index was also a part of the dataset. Using 11 oral glucose tolerance test (OGTT) measurements, we have deduced 61 features, which are then assigned a rank and the top ten features are shortlisted using Minimum Redundancy Maximum Relevance feature selection algorithm. All possible combinations of the 10 best ranked features were used to generate SVM based prediction models. This research shows that an individual’s plasma glucose levels, and the information derived therefrom have the strongest predictive performance for the future development of T2DM. Significantly, insulin and demographic features do not provide additional performance improvement for diabetes prediction. The results of this work identify the parsimonious clinical data needed to be collected for an efficient prediction of T2DM. Our approach shows an average accuracy of 96.80 % and a sensitivity of 80.09 % obtained on a holdout set.

Many techniques have been developed to cancel the ventricular interference in atrial electrograms (AEG) during atrial fibrillation. In particular, average beat subtraction (ABS) and interpolation are among those mostly adopted. However, ABS usually leaves high power residues and discontinuity at the borders, whereas interpolation totally substitutes the residual activity with a forecasting that might fail at the center of the cancellation segment. In this study, we proposed a new algorithm to refine the ventricular estimate provided by ABS, in such a way that the residual activity should likely be distributed as the local atrial activity. Briefly, the local atrial activity is first modeled with an autoregressive (AR) process, then the estimate is refined by maximizing the log likelihood of the atrial residual activity according to the fitted AR model. We tested the new algorithm on both synthetic and real AEGs, and compared the performance with other four algorithms (two variants of ABS, interpolation and zero substitution). On synthetic data, our algorithm outperformed all the others in terms of average root mean square error (0.043 vs 0.046 for interpolation; p < 0.05). On real data, our methodology outperformed two variants of ABS (p < 0.05) and performed similarly to interpolation when considering the high power residues left (both < 5%), and the log likelihood with the fitted AR model.

With the growth of the internet of things (IoT), many challenges like information security and privacy, interoperability/standard, and regulatory and legal issues are arising. This work focused on the information security issue, which is one of the primary challenges faced by connected systems that needs to be resolved without impairing system behaviour. Information, which is made available on the Internet by the things, varies from insensitive information (e.g., readings from outdoor temperature sensors) to extremely sensitive information (e.g., video stream from a camera) and needs to be secured over the Internet. Things which utilise cameras as a source of information pertain to a subclass of the IoT called IoVT (internet of video things). This paper presents secured and unsecured video latency measurement results over the Internet for a marine ROV (remotely operated vehicle). A LabVIEW field programmable gate arrays (FPGAs)-based bump-in-the-wire (BITW) secure core is used to provide an AES (advanced encryption standard)-enabled security feature on the video stream of an IoVT node (ROV equipped with a live-feed camera). The designed LabVIEW-based software architecture provides an option to enable/disable the AES encryption for the video transmission. The latency effects of embedding encryption on the stream with real-time constraints are measured and presented. It is found that the encryption mechanism used does not greatly influence the video feedback performance of the observed IoVT node, which is critical for real-time secure video communication for ROV remote control and piloting. The video latency measurement results are taken using 128, 256 and 512 bytes block lengths of AES for both H.264 and MJPEG encoding schemes transmitted over both TCP and UDP transmission protocols. The latency measurement is performed in two scenarios (i.e., with matching equipment and different equipment on either end of the transmission).

It is known that physical activity levels (PA levels) decline during adolescence, but there is a lack of knowledge on possible predictors of changes in PA levels in this period of life. This study aimed to prospectively investigate the relationship between sociodemographic and behavioral factors (predictors), PA levels and changes in PA levels in older adolescents from Bosnia and Herzegovina. The sample comprised 872 participants (404 females) tested at baseline (16 years of age) and at follow-up (18 years of age). Predictors were sociodemographic characteristics (age, gender, socioeconomic status, urban/rural residence, paternal and maternal education level) and variables of substance misuse (consumption of cigarettes, alcohol and illicit drugs). The PA level, as measured by the Physical Activity Questionnaire for Adolescents (PAQ-A), was observed as a criterion. Boys had higher PAQ-A scores than girls at baseline and follow-up. Paternal education levels were correlated with PAQ-A scores at baseline (Spearman’s R: 0.18, 0.15 and 0.14, p < 0.05, for the total sample, females and males, respectively) and at follow-up (Spearman’s R: 0.12, p < 0.01 for the total sample). Logistic regression, which was used to calculate changes in PA levels between baseline and follow-up as a binomial criterion (PA decline vs. PA incline), evidenced a higher likelihood of PA incline in adolescents whose mothers were more educated (OR: 1.29, 95% CI: 1.05–1.60) and who live in urban communities (OR: 1.56, 95% CI: 1.16–2.10). The consumption of illicit drugs at baseline was evidenced as a factor contributing to the lower likelihood of PA incline (OR: 0.36, 95% CI: 0.14–0.92). The negative relationship between illicit drug consumption and PA decline could be a result of a large number of children who quit competitive sports in this period of life. In achieving appropriate PA-levels, special attention should be placed on children whose mothers are not highly educated, who live in rural communities, and who report the consumption of illicit drugs. The results highlighted the importance of studying correlates of PA levels and changes in PA levels during adolescence.

We propose a linear state estimation (SE) model with complex coefficients and variables suitable for processing large-scale data in electric power systems observable by phasor measurement units. The presented model is based on factor graphs and solved using the belief propagation (BP) algorithm. The proposed algorithm is placed in the non-overlapping multi-area SE scenario without a central coordinator. The communication between areas is asynchronous, where neighboring areas exchange only “beliefs” about specific state variables. Presented architecture directly exploits system sparsity, can be flexibly paralellized and results in substantially lower computational complexity compared to traditional SE solutions. Finally, we discuss performances of the BP-based SE algorithm using power systems with 118, 1354 and 9241 buses.

Metastatic involvement of the gallbladder is uncommon. We report a case of an 84-year-old male who presented with acute cholecystitis secondary to metastatic urothelial carcinoma (UC). An 84-year-old man presented with right upper quadrant pain and a positive Murphy's sign on the background of known metastatic UC. He was diagnosed with acute cholecystitis and underwent laparoscopic cholecystectomy. His postoperative period was complicated by a cardiac event, and he died 2 days later. Histology of the gallbladder revealed extensive infiltration by nested malignant epithelioid proliferation, consistent with UC. This case demonstrates that although uncommon, UC may metastasize to unusual sites, including the gallbladder. This serves as a reminder for surgeons to consider metastatic disease as a cause for acute cholecystitis.

Aim: To simulate the stability and degradation of superparamagnetic iron oxide nanoparticles (MNP) in vitro as part of their life cycle using complex simulated biological fluids. Materials & methods: A set of 13 MNP with different polymeric or inorganic shell materials was synthesized and characterized regarding stability and degradation of core and shell in simulated biological fluids. Results: All MNP formulations showed excellent stability during storage and in simulated body fluid. In endosomal/lysosomal media the degradation behavior depended on shell characteristics (e.g., charge, acid-base character) and temperature enabling the development of an accelerated stress test protocol. Conclusion: Kinetics of transformations depending on the MNP type could be established to define structure-activity relationships as prediction model for rational particle design.

Background Better understanding, documentation and evaluation of different refugee health interventions and their means of health system integration and intersectoral collaboration are needed. Objectives Explore the barriers and facilitators to the integration of health services for refugees; the processes involved and the different stakeholders engaged in levaraging intersectoral approaches to protect refugees’ right to health on resettlement. Design Scoping review. Methods A search of articles from 2000 onward was done in MEDLINE, Web of Science, Global Health and PsycINFO, Embase. Two frameworks were applied in our analysis, the ‘framework for analysing integration of targeted health interventions in systems’ and ‘Health in All Policies’ framework for country action. A comprehensive description of the methods is included in our published protocol. Results 6117 papers were identified, only 18 studies met the inclusion criteria. Facilitators in implementation included: training for providers, colocation of services, transportation services to enhance access, clear role definitions and appropriate budget allocation and financing. Barriers included: lack of a participatory approach, insufficient resources for providers, absence of financing, unclear roles and insufficient coordination of interprofessional teams; low availability and use of data, and turf wars across governance stakeholders. Successful strategies to address refugee health included: networks of service delivery combining existing public and private services; system navigators; host community engagement to reduce stigma; translation services; legislative support and alternative models of care for women and children. Conclusion Limited evidence was found overall. Further research on intersectoral approaches is needed. Key policy insights gained from barriers and facilitators reported in available studies include: improving coordination between existing programmes; supporting colocation of services; establishing formal system navigator roles that connect relevant programmes; establishing formal translation services to improve access and establishing training and resources for providers.

INTRODUCTION In the 1950s and 1960s, former Yugoslavia entered into bilateral treaties on legal assistance with Austria (Treaty 3), Bulgaria (Treaty 22), Czechoslovakia (Treaty 13), Hungary (Treaty 25), Poland (Treaty 26) and Romania (Treaty 27). Today these treaties are in force between the four successor countries of Yugoslavia – i.e. Serbia, Bosnia and Herzegovina (henceforth: B&H), North Macedonia (henceforth: Macedonia) and Montenegro – and all the abovementioned European countries, which in the meantime have become EU Member States (in the case of Czechoslovakia, the Czech Republic and Slovakia as its successors). Each of these bilateral treaties contains the conflict-of-laws rules and procedural rules on succession that take precedence over, respectively, the rules of the Succession Regulation (Article 75(1)) in the contracting parties that are now EU Member States and the national private international law (PIL) rules in the four successor countries of former Yugoslavia that are not EU members. As these rules are based on the principle of nationality and the principle of the location of the estate, they are completely incompatible with the rules of the Succession Regulation and are, therefore, undesirable in the EU Member States. From the perspective of the successor countries of former Yugoslavia, a general assessment of the rules on succession contained in bilateral treaties cannot be given, mainly because international succession law is not consistently regulated in the successor countries: the rules of Serbian, B&H and Macedonian international succession law are based on traditional principles that correspond to those of the bilateral treaties, while the rules of Montenegrin international succession law follow the principles contained in the Succession Regulation. In order to make a proper assessment, it is first necessary to make a few remarks on the conflict-of-laws and procedural rules on succession in Serbia, B&H, Macedonia and Montenegro and then to look into the conflict-of-laws regimes and the procedural rules of the bilateral treaties in detail. A FEW REMARKS ON NATIONAL PRIVATE INTERNATIONAL LAW RULES IN SUCCESSION MATTERS SERBIA AND BOSNIA AND HERZEGOVINA The main legal source of private international law in Serbia and B&H is the Act on Resolution of Conflict of Laws with Regulations of Other Countries (henceforth: PIL Act), which was enacted in 1982 in the former Socialist Federal Republic of Yugoslavia (henceforth: SFRY) and is, with minor amendments, still in force today in both countries.

Neurological adverse events from immune checkpoint inhibition are increasingly recognised, especially with combination anti-cytotoxic T-lymphocyte antigen 4 (CTLA4) and anti-programmed death receptor 1 (anti-PD-1) therapies. Their presenting symptoms and signs are often subacute and highly variable, reflecting the numerous components of the nervous system. Given the risk of substantial morbidity and mortality, it is important to inform patients of symptoms that may be of concern, and to assess any suspected toxicity promptly. As with other immune-related adverse events, the cornerstone of management is administration of corticosteroids. Specialist neurology input is vital in this group of patients to guide appropriate investigations and tailor treatment strategies.