Background Double-layer stents show promising results in preventing periinterventional and postinterventional embolic events in elective settings of carotid artery stenting (CAS). We report a single-center experience with the CGuard stent in the treatment of acute ischemic stroke (AIS) due to symptomatic internal carotid artery (ICA) stenosis or occlusion with or without intracranial occlusion. Methods We retrospectively analyzed all patients who received a CGuard stent in the setting of AIS at our institution. Neuroimaging and clinical data were analyzed with the following primary endpoints: technical feasibility, acute and delayed stent occlusion or thrombosis, distal embolism, symptomatic intracranial hemorrhage (sICH) and functional outcome at 3 months. Results In 33 patients, stenting with the CGuard was performed. Stent deployment was successful in all patients (28 with tandem occlusions, 5 with isolated ICA occlusion). Transient acute in-stent thrombus formation occurred in three patients (9%) without early stent occlusion. Delayed, asymptomatic stent occlusion was seen in 1 patient (3%) after 49 days. Asymptomatic periinterventional distal emboli occurred in 2 patients (6%), 1 patient experienced a transient ischemic attack 79 days after the procedure and 1 patient (3%) developed sICH. Favorable clinical outcome (mRS 0–2) at 3 months was achieved in 12 patients (36%) and the mortality rate was 24%. Conclusion The CGuard use in emergencies was technically feasible, the safety has to be confirmed by further multicentric studies.

Stroke is a medical condition in which the blood vessels in the brain rupture, causing brain damage. Symptoms may appear if the brain's flow of blood and other nutrients is disrupted. Stroke is the leading cause of death and disability worldwide, according to the World Health Organization (WHO). Early awareness of the numerous stroke warning symptoms can assist to lessen the severity of the stroke. To forecast the likelihood of a stroke happening in the brain, many machine learning (ML) models have been developed. This research uses a range of physiological parameters and machine learning algorithms, such as Support Vector Machine with extensive Exploratory Data Analysis, Random Forest Regression and PySpark. By using this methodologies and algorithms we got very high accuracy score results which are described down below.

Introduction: The education system of Federation of Bosnia and Herzegovina includes 60% of people with cerebral palsy (CP), hearing impairment and other associated difficulties, of which 37.50% in regular schools and 22.50% in special schools. From the total number of students, 44.44% attending schools according to the regular curriculum, and 55.56% according to the adjusted curriculum (1). Methods: The study is retrospective and analytical-descriptive. The study was conducted on a sample of 120 respondents from four cantons of the Federation of Bosnia and Herzegovina. Each Canton was used as one subsample of respondents. The data are presented in tabular form using classical descriptive statistics methods. The parametric statistics, analysis of variance (ANOVA) at the level of statistical significance of 0.05 was used to examine the statistical significance of differences between the sub-samples of the respondents. Results: The results of the study showed that persons with cerebral palsy, hearing impairment and other associated difficulties do not have adequate support in educational inclusion. Defectological support at school is provided for 17.50% of persons with cerebral palsy, hearing impairment and other associated difficulties, and only 6.66% of persons have the support of a teaching assistant. Conclusion: Persons with cerebral palsy, hearing impairment and other associated difficulties do not have adequate support in educational inclusion. There is no statistically significant difference between the subsamples of respondents when it comes to special education support and assistant support in the educational inclusion.

Recent progress in calculating lepton density functions inside the proton and simulating lepton showers laid the foundations for precision studies of resonant leptoquark production at hadron colliders. Direct quark-lepton fusion into a leptoquark is a novel production channel at the LHC that has the potential to probe a unique parameter space for large masses and couplings. In this work, we build the first Monte Carlo event generator for a full-fledged simulation of this process at NLO for production, followed by a subsequent decay using the POWHEG method and matching to the parton showers utilizing HERWIG. The code can handle all scalar leptoquark models with renormalisable quark-lepton interactions. We then comprehensively study the differential distributions, including higher-order effects, and assess the corresponding theoretical uncertainties. We also quantify the impact of the improved predictions on the projected (HL-)LHC sensitivities and initiate the first exploration of the potential at the FCC-hh. Our work paves the way toward performing LHC searches using this channel.

Next-generation sequencing (NGS) has been increasingly used in a wide range of research communities and in routine clinical practice and leads to an ever increasing amount of sequencing data. Sequencing data comes with, several challenges such as sharing, storing, integrating, analyzing, and interpretion. The management of the expanding amount of data is challenging and, especially for human omics data, privacy protection is crucial. Unraveling the causes of rare diseases is critically dependent on data sharing, but progress is hampered by regulations and privacy concerns. To overcome the concerns associated with centralized human genomic data storage, we developed a federated analysis platform, referred to as Widely Integrated NGS (WiNGS). The presented approach enables datasharing and combined data-analysis of omics data across a consortium without a centralized data store. Moreover, the platform incorporates extensive variant interpretation tools from genotype to phenotype for the diagnosis of rare developmental disorders.

Condition monitoring software is crucial for companies from all industrial branches that take care of the high availability of their automation systems. However, as the automation systems increase in complexity to support numerous business needs, the complexity behind the condition monitoring software development increases as well. It demands a deep understanding of various domain-specific requirements, state-of-the-art architectural concepts, and implementation technologies by software engineers. This paper copes with this complexity by proposing a model-driven approach to support software engineers in designing and implementing condition monitoring software. In that context, the paper contributes with a domain-specific language for condition monitoring software development (DSL4CMSD) along with a code generator that produces a set of python-based microservices. Furthermore, the paper discusses condition monitoring domain-specific requirements and presents a design process for their implementation using the DSL4CMSD. Finally, we evaluate the applicability of our modeling approach on the industrial heat exchanger monitoring case study.

ABSTRACT There is an intricate link between money supply and house prices. However, housing markets have downward price rigidity, different supply elasticities, and changing market sentiments. Thus, the response of house prices to expansionary monetary policy shocks differs from contractionary shocks. We use an asymmetric/nonlinear autoregressive distributive lag (NARDL) approach to estimate the asymmetric effects of money supply on house prices in each state in the U.S. a practice that makes our study differ from previous research. The house price growth in 38 states responds symmetrically to money supply changes in the short run. However, in 48 states, positive changes in money supply impact house prices differently from negative changes in the short run. In addition, there is a long-run relationship between money supply and house prices, but only when we account for asymmetries.

Background This study aimed to evaluate the effects of dental health on quality of life (QoL) in 117 patients from Kosova, aged 6–80 years, using the Dental Impact on Daily Living (DL) questionnaire and the Oral Health-Related Quality of Life (OHRQoL) questionnaire. Material/Methods We recruited 117 patients, approximately half male and half female, aged 6–80 years. The subjects came for dental appointments and filled out 2 questionnaires: DIDL addressing questions on appearance, comfort, pain, performance and eating restriction, and OHRQoL assessing dental-specific questions for evaluation of satisfaction with oral health, and evaluation of importance they attribute to oral health. Collected data included age, gender, income, education level, and frequency of brushing teeth per day. Results The participants were relatively satisfied with their DIDL health (score >0) and also had positive views on OHRQoL (score >0). No participants evaluated the appearance, comfort, eating restrictions, or pain as satisfactory. Comparisons of age, gender, education, income level, and frequency of brushing teeth showed that female participants evaluated their DIDL higher than male participants (P=0.043). Age was correlated with the frequency of teeth brushing per day (rho=−0.450; P<0.001). Gender, age, education level, income level, and frequency of teeth brushing did not influence QoL. Conclusions This small study from Kosovo showed reasonable satisfaction with oral health and its associated QoL. While participants reported good effects of oral health on their QoL, they were least satisfied with comfort and most satisfied with their performance.

This paper presents a combination of two methods that can be effectively combined for control of electrical machines. The first method enables real-time identification of electrical and mechanical parameters based on differential geometry and geometric algebra. The second method enables robust control of electrical machines, even when the knowledge about parameters is incomplete. In combination, the two methods open a path for successful control of electrical machines with unknown and/or time varying parameters.

This paper presents the results of an experimental study of the freeze-thaw resistance with de-icing salts (resistance to scaling) of three slag-based alkali-activated (AA) concrete mixes and the reference OPC concrete mix. The scaling resistance was tested on the samples subjected to the 7, 14, 28, 42 and 56 freezing and thawing cycles with 3% NaCl solution as freezing medium. The results showed that the increased sodium silicate content enhances the scaling resistance of the AA concrete. OPC concrete exhibited much higher scaling resistance up to 42 cycles, after which it showed severe damage, while the scaling of AA concrete mixes became more moderate after 7 cycles of testing.

Aim: The aim of the study was to compare the analgesic effects of ketamine over fentanyl combined with propofol in analgesia-based elective colonoscopy with purpose of patient safety and satisfaction. Methods: This is a double-blinded prospective randomized controlled trial. Ninety patients were included and randomized to either fentanyl-propofol (Group FP, n: 30), ketamine-propofol (Group KP, n: 30) or propofol-control group (Group C, n: 30). Group FP patients received fentanyl and propofol, Group KP received ketamine and propofol and Group C, propofol. In all groups, incremental doses of propofol were used to maintain a Ramsay sedation score (RSS) of 5. Respiratory depression and hemodynamic parameters were monitored for the first minute and every 5 min during endoscopy. Fifteen minutes after the procedure, the degree of pain was assessed using a visual analog scale (VAS), the quality of recovery according to the Aldrete score (ARS), complications during and after the procedure and additional doses of propofol were recorded. Results: Mean arterial pressure (MAP) at 5 and 30 min (p < 0.05), heart rate (HR) at 15, 25 and 30 min (p < 0.05) and peripheral oxygen saturation (SpO2) at 30 min (p < 0.05) were statistically significant for Group FP. Desaturation (*p = 0.033), and weakness (*p = 0.004) was also significant for Group FP at 20, 25 and 30 min (p < 0.05). Pain was lower assessed for the Group KP according to the VAS (**p = 0.025). Conclusion: In analgesia-based colonoscopy, ketamine provides appropriate analgesia and less incidence of complications compared to fentanyl.

3 Technical RepoRT New Opportunities Offered by the ESRF to the Cultural and Natural Heritage Communities Marine Cotte,1,2 Kathleen DollMan,1 VinCent FernanDez,1 ViCtor Gonzalez,3 FreDeriK VanMeert,4,5 letizia MoniCo,6,7,4 Catherine Dejoie,1 ManFreD BurGhaMMer,1 loïC huDer,1 Stuart FiSher,1 Wout De nolF,1 iDa FazliC,1,8 hiraM CaStillo-MiChel,1 Murielle SaloMé,1 Marta GhirarDello,9 Daniela CoMelli,9 oliVier Mathon,1 anD Paul taFForeau1 1European Synchrotron Radiation Facility (ESRF), Grenoble, France 2Sorbonne Université, CNRS, Laboratoire d’Archéologie Moléculaire et Structurale (LAMS), Paris, France 3Université Paris-Saclay, ENS Paris-Saclay, CNRS, PPSM, Gif-sur-Yvette, France 4Antwerp X-ray Imaging and Spectroscopy Laboratory (AXIS) Research Group, NANOLab Centre of Excellence, University of Antwerp, Antwerp, Belgium 5Paintings Laboratory, Royal Institute for Cultural Heritage (KIK-IRPA), Brussels, Belgium 6CNR-SCITEC, Perugia, Italy 7Centre of Excellence SMAArt, University of Perugia, Perugia, Italy 8Science Department, Rijksmuseum, Amsterdam, The Netherlands 9Physics Department, Politecnico di Milano, Milano, Italy Introduction For the past 20 years, the community of heritage scientists has frequently exploited the synchrotron radiation-based techniques offered at the European Synchrotron Radiation Facility (ESRF), Grenoble, France [1]. X-ray imaging techniques (in particular, micro computedtomography, μCT) are regularly employed to probe non-destructively the inner structure of objects and materials. In paleontology, this can offer information on the functioning and evolution of organs and organisms. In addition, analytical techniques such as X-ray fluorescence (XRF), X-ray powder diffraction (XRPD), and X-ray absorption spectroscopy (XAS) are often used, alone or combined, for the chemical analysis of micro-fragments of historical manufactured materials. This can give clues about both the early days of objects (physical and chemical processes used in the production of artworks and the evolution of these skills in time and space) as well as the evolution/alteration of objects (nature of degradation products and environmental factors contributing to these degradations). The limited size of samples and their high heterogeneity often require access to micro and nano-probes. The new capabilities offered by the ESRF upgrade “EBS” (Extremely Brilliant Source), as well as instrumental developments at new and strongly refurbished beamlines, have motivated the organization of a dedicated “EBS-workshop” about cultural and natural heritage, which was held in January 2020 at the ESRF, attracting more than 150 participants, among which were 90 new ESRF users. Most of the talks were broadcast on the ESRF YouTube Channel and are still available (https:// youtube.com/playlist?list=PLsWatK2_NAmyyA0n03OMJMAKobVIvow2D). Through scientific presentations, tutorials, and discussions, the objectives of the workshop were: 1. To illustrate to expert and non-expert users the many capabilities offered by synchrotron radiation-based techniques for the study of natural and cultural heritage materials/objects; 2. To present EBS and the related instrumental developments, highlighting the ground-breaking capabilities that will be offered through the ESRF upgrade phase 2 (thanks to the new source, new beamlines, and new instruments); 3. To present and discuss the upstream and downstream challenges associated with these new instruments (e.g., access models and data analysis, data management...), which are fundamental for making the experiments a success. This was notably a very good opportunity to discuss the implementation of new beamtime access modes.

When considering product handle ergonomics, authors have focused on product handle sizes and shapes, while handle materials have been largely ignored. Authors have shown that handles coated with rubber foam were more comfortable than stiff handles. However, they did not provide detailed material properties, nor did they investigate different stiffnesses and their impact on tactile perception during grasping. Therefore, in this article, we investigated the influence of product interface material stiffness using a common wood sawing task with a saw handle made of hard plastic and 3D-printed deformable material with different stiffnesses. The results showed that user tactile perception can be improved significantly where the 3D-printed cellular density, and, hence material stiffness, has a significant influence on the resulting tactile perception. However, results have shown that the material stiffness must be determined appropriately to maintain the stability of the products in hands. The results also suggest that the product interface material had a greater influence on the reported overall comfort rating than the product handle shape in the sawing task.

A pandemic caused by the coronavirus affects all aspects of life of an individual and a society as a whole. It is not only a question of the medical profession, but also of other areas, and especially the need for fundamental human rights. The measures adopted by state bodies are primarily aimed at protecting human health, but the effects and implications they cause limit other rights, so it raises the question of their adequacy. The basic and most important question is how to access health care in such conditions. Therefore, the main aim of the paper is to try to answer the question through PESTEL (P-Political, E-Economic, S-Social, T-Technological, E-Environmental, L-Legal) analysis of the healthcare system of the local community of Pale. Thirty factors of PESTEL analysis were quantified by using the Improved Fuzzy Stepwise Weight Assessment Ratio Analysis (IMF SWARA) method. The results obtained through the total of 70 formed models show that the current state of the observed local community is marked by social and legal factors. This analysis should present a diagnostic test of the current situation and provide a good basis for future actions.