Abstract Background Neuroendocrine carcinoma of the uterine cervix (NEC) is a rare cervical malignancy, accounting for 0.9% of all cervical carcinomas. Cervical NEC is a high-grade cancer with an aggressive clinical course and poor outcome. Given that no target therapy has been approved yet for NEC, we explored novel targetable biomarkers in a large cohort of NEC of the cervix. Methods Sixty-two NEC of the cervix were profiled for biomarkers of targeted therapy including antibody-drug conjugates (DLL3, TROP-2, and FOLR1), tropomyosin receptor kinases (NTRK1/2/3 gene fusions), and immune checkpoint inhibitors (PD-L1, TMB, and MSI) using immunohistochemistry and DNA/RNA next-generation sequencing assays. Results The study included 36 primary and 26 metastatic cervical NEC. The mean patient’s age was 43.6 years (range, 24-82 years). DLL3 expression was observed in 81% of the cases with 49% of cases expressing diffusely (≥50% of positive cancer cells) DLL3 protein. DLL3 expression was inversely correlated with commonly observed mutations: PIK3CA (7/47) (p = 0.018) and PTEN mutations (5/40) (p = 0.006). Other frequently seen mutations (TP53 17%, KRAS 11% and CTTNB1 5%) were not associated with DLL3 expression. PD-L1 expression, high TMB and MSI-H were seen in single cases. Although NTRK protein expression was observed in 21% of the cases, none of these had confirmatory NTRK gene fusions. TROP-2 and FOLR1 were negative in all tested cases. Conclusions DLL3 protein and PIK3CA/PTEN pathway genes may be potential therapeutic targets for a substantial proportion of the patients NEC of the cervix. Based on I-O biomarkers status, the patients with cervical NEC are less likely to benefit from immune checkpoint inhibitors. Legal entity responsible for the study The authors. Funding Has not received any funding. Disclosure D. Arguello: Full / Part-time employment: Caris Life Sciences. E. Contreras: Full / Part-time employment: Caris Life Sciences. Z. Gatalica: Full / Part-time employment: Caris Life Sciences. All other authors have declared no conflicts of interest.

Introduction: Diabetes is the fastest growing chronic diseases worldwide and in Bosnia and Herzegovina. International standards for diabetes care have recognized the crucial role of pharmacists in diabetes management. Community pharmacists can provide services beyond medication dispensing inducing patient identification, assessment, education, referral, monitoring and behavioral counseling. Pharmacists’ attitudes toward diabetes are generally positive but do not correlate with the degree of their involvement in diabetes management and frequency of providing diabetes-related services varied throughout countries. Aim: To measure pharmacists’ attitude toward diabetes management and to identify pharmacy services that are currently provided to patients with diabetes. Material and Methods: We have conducted a descriptive, cross-sectional survey-based study among pharmacists from Bosnia and Herzegovina attending on of the conferences in May 2018. Majority of pharmacist attending such conferences are from community pharmacies across the whole country considering surveyed sample was representative. The questionnaire contained 3 different sections: a) participants’ demographics, b) measured participants’ attitude toward diabetes using the DAS-3 to measure participants’ degree of agreement to 33 diabetes-related statements, on a 5-point Likert type scale and c) a list of possible diabetes patient support activities that could be delivered by pharmacists based on authors experience and available literature. Results: The majority of respondents (86,5%) were female and 53,8% work in private owned pharmacies. Interest in diabetes was indicated by 94,2% while 59,6% completed special diabetes continuing education in the past. All the respondents expressed positive attitudes in all DAS-3 with no significant difference between overall DAS-3 and subscale values. Provided services differ but mainly drug oriented and partially include comorbidity counseling. Conclusion: Pharmacists had positive attitudes toward diabetes but they provided limited diabetes-related services to patients. Additional special education is needed.

Abstract Applying MIPVU (Steen et al., 2010) to the corpus of media articles about the European migrant crisis in the period from August 2015 until March 2016 in English and Bosnian/Croatian/Serbian, this paper analyzes the IMMIGRANTS ARE ANIMALS metaphor within the framework of the deliberate metaphor theory by considering the three dimensions of this metaphor, namely, the linguistic dimension of (in)directness, the conceptual parameter of conventionality, and the communicative dimension of (non)deliberateness. Specifically, the paper examines the use of the ANIMALS metaphor as a deliberate metaphor in the immigration discourse in English and Bosnian/Croatian/Serbian. The paper aims to determine to what extent and in which situations the authors of the texts tend to divert the addressee’s attention to viewing immigrants in terms of animals. Using the IDeM protocol for the identification of deliberate metaphor (Krennmayr, 2011), the paper also focuses on the rhetorical potential and the effects of the use of deliberate metaphors in the media discourse. Such metaphors are often used in the media discourse to dehumanize immigrants and consequently reduce the addressee’s empathy for them.

The purpose of the credit scoring process is the classification of the loan as default or non-default trying to reduce the risk for financial institutions. Paper aims to illustrate the implementation of a credit scoring model using boosting techniques. Specifically, the proposed solution is implemented using XGBoost algorithm discussing the role of hyperparameter tuning and feature selection in result optimization. Data used for obtaining performance scores is real-world data provided by a microfinance institution based in Bosnia and Herzegovina. Results suggest that significant optimization of XGBoost may be performed, yet, the model fails to outperform typically recommended approaches for solving credit scoring problem. Given that, it is suggested that although boosting techniques are increasingly being relied upon, it is unaccountable to make a decision without understanding the specificity of data and questioning whether other techniques are more suitable.

This article presents an overview of integrability of procedural modeling techniques needed to create a complete virtual city with streets, roads, building lots, exteriors and interiors with arranged furniture. Techniques are distributed into four hierarchies: urban plan, buildings, interior and furniture. Each technique is analyzed from the aspect of control of space definition, style uniformity, automatic interaction with other hierarchies and ability to procedurally generate a result around existing content. Each paper presented in this survey contributes either as a new control feature that has a potential of integrating with other techniques of higher, lower or same level of hierarchy, or as a new important part for creating a complete procedural city from highest to lowest level of hierarchy. The paper is concluded with a discussion of strong links between each area in the chain and important challenges in procedural generation of a complete city.

Abstract The aim of the paper is to reveal that humour processing is an exertion which requires both, mental and emotional capacities. To prove the point, two theories for humour processing were employed: the conceptual integration theory and the benign violation theory. The paper shows that theories, though different, possess certain common elements and represent useful tools in humour processing. The conceptual integration theory, with its input spaces, blending processes and generic space, together with the benign violation theory and its detection of humorous elements within tragic situations, could be valuable assets in understanding how people find humour in intimidating and life-threatening situations. The paper also sheds some light on how different age groups perceive black humour showing that age and life experience facilitate understanding of black humour.

Background Mirror aneurysms represent 2 adjacent arterial protrusions. Although the size is considered a major risk factor in terms of rupture, sometimes it is the smaller aneurysm that ruptures. Here, we present the contemporary management of mirror distal anterior cerebral artery (DACA) aneurysms associated with multiple aneurysms. Computational fluid dynamic (CFD) analysis was performed when assessing multiple aneurysms using Hemoscope, version 2015. Case Description Among multiple aneurysms, a mirror A2/A3 DACA aneurysm was found in a single patient. Surgical treatment was provided for all aneurysms through a single-stage procedure. The left ruptured A2/A3 aneurysm was smaller compared with the right (7.5 × 3.5 mm/10.8 × 3.2 mm). CFD showed greater wall pressure (WP) in the left ruptured A2/A3 aneurysm (left A2/A3 WP 84,000–84,402 Inst. mm Hg/right A2/3 WP 84,224–84,315). WP in the left middle cerebral artery and anterior communicating artery aneurysms showed lesser values compared with the ruptured aneurysm (WP upper values 84,361 and 84,367, respectively). Wall shear stress showed low values for all aneurysms with the lowest flow rate values in the left A2/A3 aneurysm. Conclusions In cases of ruptured mirror aneurysms followed by the presence of intracerebral hematoma, surgery is considered the primary option with the best results. A one-stage dual craniotomy procedure was found safe in the associated treatment of other multiple aneurysms. At present, the size of the aneurysm, the hemodynamic influence, and the local configuration are all considerations during the preoperative assessment of multiple aneurysm cases. According to our knowledge, this article presents the first CFD analysis of mirror DACA aneurysms associated with aneurysm multiplicity.

Introduction: Neurophysiological tests allow accurate assessment of the function of the peripheral nervous system. Detection of neurophysiological changes allows us to understand the neurological clinical symptoms and signs of patients with type 1 and type 2 diabetes and the possibility for their symptomatic treatment. Aim: Evaluate the effect of diabetes mellitus on the “cutaneous silent period” in detecting diabetic polyneuropathy. Material and Methods: The study included 150 subjects, 90 suffering from diabetes, divided into three groups of 30, depending on the disease duration, and a control group of 60 respondents not suffering from diabetes or other polyneuropathies. The control group are referred for EMG analysis on another basis (cervical radiculopathy, brachialgia, etc.). Group 1 consisted of 30 subjects with diabetes mellitus type 2 and duration of illness up to 5 years. Group 2 consisted of 30 subjects with type 2 diabetes mellitus 2 and illness duration from 5 to 10 years. Group 3 consisted of 30 patients with type 1 diabetes mellitus. The study groups consisted of patients referred for EMNG analysis to the EMG office of the Clinical Center of Sarajevo University, Neurology Clinic and the Neurophysiology Laboratory in Ljubljana, from July 1, 2011 to May 1, 2016. All patients were examined neurologically and electroneurographic analysis was performed. Results: A statistically significant difference was found in the incidence of pathologic CSP with respect to the study groups, χ2 = 26.153; p=0.001. Pathologic CSP was more common in group 1 and group 2 of subjects (56.17%) compared to group 3 and control subjects, where it occurred in 13.3% of the cases. Conclusion: The pathological cutaneous period of silence was more frequent in subjects of group 1 and group 2, that is, in subjects with DM type 2, compared to subjects with DM type 1.

The last decade was marked by rapid growth and development of technology. One example of that is the automotive industry. This industry has made an enormous progress, and its main goal is to achieve safer and better driving. The vehicle incorporates GPS devices that send information about the current location and speed of the vehicle. Large amounts of collected data can be used in companies for tracking vehicles and various analysis and statistics. Sometimes, however, GPS data is not accurate. In this paper, the potential of real data sets will be used to analyze possible anomalies that may occur when reading GPS position of vehicles. The approach for solving this problem used in this paper consists of calculating distance and time, based on GPS measurements, then calculating average speed based on these two values, and comparing that speed with the speed given by GPS device.

Paper illustrates the process of topic modeling and text classification. Specifically, the dataset used is a corpus consisting of scientific publications published by Neural Information Systems Processing Conference. Topic modeling itself is performed using Latent Dirichlet Allocation model. It is followed by optimization of a number of topics on the basis of topic coherence, a quality measure of human interpretability. Results of topic modeling are used for labeling data prior to text classification. Labels are determined based on the distribution of assigned papers' topics over time. Specifically, peak changes used for differentiating between time periods dominated by specific topics are calculated as a Kullback-Leibler divergence. Finally, transforming data into the feature vectors, several different text classification approaches are evaluated. As observed, the greatest accuracy score is recorded for the use of extreme gradient boosting classifier being 77.1%.

Abstract High-resolution spatiotemporal data is crucial for characterizing, modeling, and monitoring the space–time dynamics of complex systems in manufacturing. However, the acquisition of such data is generally expensive and time-consuming. Spatiotemporal interpolation aims to predict the values at unmeasured locations using measured data, and emerges as a promising solution to cost-effectively characterizing spatiotemporal processes. Since the interpolation performance is largely influenced by the available measurement data, an intelligent measurement strategy is an important prerequisite to the success of interpolation methods. In this paper, a hierarchical measurement strategy is developed to achieve a balance between interpolation precision and measurement cost in spatiotemporal interpolation. A hierarchical decision-making problem is formulated to determine the observation times and measurement locations at each observation. To expedite the solution search process, hierarchical genetic algorithm is adopted and implemented using high-performance computing. Moreover, a new form of the covariance function is developed using a Bessel additive periodic variogram to more accurately model the periodic spatial variations in spatiotemporal processes. Case studies using real-world data collected from ultrasonic metal welding are reported to demonstrate the effectiveness of the proposed method.

Group recommender systems generate recommendations for a group by aggregating individual members’ preferences and finding items that are liked by most of the members. In this paper we introduce a new approach to preference aggregation and group choice prediction that is based on a new form of weighting individuals’ preferences. The approach is based on network science, and, in particular, it relies on the computation of node centrality scores in preferences similarity networks of groups. We also motivate and introduce a non-linear (exponential) remapping of the individuals’ preferences. Based on offline experiments we demonstrate: 1) non-linear remapping of preferences is useful to better predict group choices and generate recommendations; and 2) our weighted approach predicts the actual group choices more accurately than current state-of-the-art methods for group recommendations.CCS CONCEPTS• Information systems → Recommender systems; • Humancentered computing → User studies; User models; Social network analysis.

Teleoperation of multi-robot systems, e.g. dual manipulators, in cooperative manipulation tasks requires haptic feedback of multi-contact interaction forces. Classical haptic devices restrict the workspace of the human operator and provide only one contact point. An alternative solution is to enable the operator to command the robot system via free-hand motions which extends the workspace of the human. In such a setting, a multi-contact haptic feedback may be provided to the human through multiple wearable haptic devices, e.g. fingertip devices that display forces on the human fingertips. In this paper we evaluate the benefit of using wearable haptic fingertip devices to interact with a bimanual robot setup in a pick-and-place manipulation task. We show that haptic feedback through wearable devices improves task performance compared to the base condition of no haptic feedback. Therefore, wearable haptic devices are a promising interface for guidance of multi-robot manipulation systems.