Recent work has shown that large text-based neural language models, trained with conventional supervised learning objectives, acquire a surprising propensity for few- and one-shot learning. Here, we show that an embodied agent situated in a simulated 3D world, and endowed with a novel dual-coding external memory, can exhibit similar one-shot word learning when trained with conventional reinforcement learning algorithms. After a single introduction to a novel object via continuous visual perception and a language prompt ("This is a dax"), the agent can re-identify the object and manipulate it as instructed ("Put the dax on the bed"). In doing so, it seamlessly integrates short-term, within-episode knowledge of the appropriate referent for the word "dax" with long-term lexical and motor knowledge acquired across episodes (i.e. "bed" and "putting"). We find that, under certain training conditions and with a particular memory writing mechanism, the agent's one-shot word-object binding generalizes to novel exemplars within the same ShapeNet category, and is effective in settings with unfamiliar numbers of objects. We further show how dual-coding memory can be exploited as a signal for intrinsic motivation, stimulating the agent to seek names for objects that may be useful for later executing instructions. Together, the results demonstrate that deep neural networks can exploit meta-learning, episodic memory and an explicitly multi-modal environment to account for 'fast-mapping', a fundamental pillar of human cognitive development and a potentially transformative capacity for agents that interact with human users.

Abstract Objectives The aim of the study was to determine carotid intima-media thickness (CIMT) values in patients who developed and did not develop preeclampsia (PE), and to determine whether CIMT values could be predictors of PE development. Methods The study included pregnant women who were examined by regular ultrasound examination at the Materno-Infantil Presidente Vargas Hospital (HMIPV) in Porto Alegre, Brazil, from April 2016 to September 2017. The examinations were performed every three months. Patients were divided into two groups. The first group included patients diagnosed with PE (n=21) and second group included patients who did not have PE (n=199). A high frequency ultrasound device (12 MHz) with a semi-automatic method was used to estimate CIMT. Results CIMT was significantly higher in pregnant women with PE than in women without PE (55±0.11 vs. 0.44±0.06, respectively; p<0.001). Using a cut-off value of 0.51 mm, CIMT had a specificity of 77.9% and sensitivity of 81% in the diagnosis of PE. With CIMT ≥0.6 mm, the probability of a patient developing PE was 44.4%; with CIMT >0.42 mm, the probability was only 4.2%. Conclusions An increase in CIMT was associated with the onset of PE. CIMT values were significantly higher in patients who develop PE.

This work is an assessment of changes in magnetic properties of magnetic nanoparticles in various biological environments. To mimic variations in biological conditions, we have evaluated magnetic performance of Synomag® nanoparticles in two experiments: the effect of viscosity by varying the ratio of glycerol/water mixture and the effect of immobilization after blocking the Brownian relaxation by freeze-drying (to mimic uptake in macrophages). The magnetic response was measured with the Superparamagnetic quantifier. Synomag® exhibits a slight decrease (7.9%) of magnetic response under increased viscosity from η1=0.95 to η6=259.71 mPa.s, and a dramatic magnetic signal drop (78.2%) after freeze-drying. Synomag® nanoparticles are less sensitive to viscosity due  to an additional  relaxation mechanism of disordered spins within the nanoflowers. However, the magnetic performance has been reduced due to the blocking of Brownian relaxation after immobilization.   Int. J. Mag. Part. Imag. 6(2), Suppl. 1, 2020, Article ID: 2009022, DOI: 10.18416/IJMPI.2020.2009022

This research presents the epileptic focus region localization during epileptic seizures by applying different signal processing and ensemble machine learning techniques in intracranial recordings of electroencephalogram (EEG). Multi-scale Principal Component Analysis (MSPCA) is used for denoising EEG signals and the autoregressive (AR) algorithm will extract useful features from the EEG signal. The performances of the ensemble machine learning methods are measured with accuracy, F-measure, and the area under the receiver operating characteristic (ROC) curve (AUC). EEG-based focus area localization with the proposed methods reaches 98.9% accuracy using the Rotation Forest classifier. Therefore, our results suggest that ensemble machine learning methods can be applied to differentiate the EEG signals from epileptogenic brain areas and signals recorded from non-epileptogenic brain regions with high accuracy.

U ovome ćemo radu nastojati opisati umetnute nerestriktivne relativne rečenice kao tipične parentetičke strukture. Opis će podrazumijevati njihovu sintaksičku i semantičku interpretaciju, ali i naznake o njihovoj pragmatičkoj ulozi i zasnivat će se na analizi primjera pronađenih u korpusu tekstova koji pripadaju različitim stilovima bosanskoga jezika. Rad je podijeljen u tri dijela. U prvom ćemo dijelu definirati parentetike i dati pregled dosadašnjih pristupa u analiziranju te pojave. U drugome dijelu rada fokusirat ćemo se na definiranje i analizu umetnutih nerestriktivnih relativnih rečenica, a u trećem će se dijelu izdvojiti najznačajnija zapažanja.

Introduction: COVID-19 pandemic suddenly affected all countries and health care systems from different perspectives including severe disruption of chronic disease services including diabetes. Diabetes is a serious condition and highly present in Bosnia and Herzegovina population, so provision of diabetes care is a important part of good control. Countries had different responses to adopt diabetes care under new circumstances as well as Bosnia and Herzegovina. Aim: To investigate and evaluate the impact of the COVID-19 pandemic on the provision of diabetology care in Bosnia and Herzegovina from the perspective of patients and diabetologists. Methods: Online survey for diabetologists and patient organizations have been developed with adopted question for different perspectives. The survey has been conducted online early September 2020. Collected data were analyzed in SPSS software for descriptive statistics. Results: 25 diabetologists and 24 diabetes patient organizations responded. 72% of diabetologists believe that pandemic has partially altered work with patients and 56% believe that the organization of diabetes care has successfully responded to the new circumstances but 80% believe that the diabetes care system should change. 75% of patient organizations thought that the organization of diabetes care did not adequately respond and 87.5% believe system should change. Conclusion: No significant differences found between RS and FBiH when it comes to majority of questions. Both diabetologists and patients consider that system of diabetes care in Bosnia and Herzegovina should be improved in future. It has been also found that diabetologists in Bosnia and Herzegovina responded and adopted their practices similar to other countries.

Introduction: The water pipe is a form of tobacco smoking that recently become very popular among youth in many countries all over the globe. Aim: To highlight recent data collected through Global Youth Tobacco Survey (GYTS) in the Federation of Bosnia and Herzegovina (FBiH) 2019, related to knowledge, attitudes and behavior of school children and youth to water pipe consumption. Methods: The GYTS questionnaire for the Federation of BiH 2019 contained 60 multiple-choice questions. The GYTS 2019 in the Federation of BiH was conducted in a total of 73 of the 75 sampled primary and secondary schools with a school response rate of 97.3%. From the 6,972 sampled students a total of 6,415 participated as eligible students in grades 8-9 of primary and 1st grade of secondary school, with a response rate for students of 92.0%. Results: Survey findings show that almost half (44.1%) of the school children confirm ever smoking the water pipe, while Current smoking of water pipe is confirmed by 16.1% school children. Conclusion: There is a substantial need for implementing of systematic and inter sectorial tobacco control measures that involves a water pipe as new public health challenge among youth.

Abstract One of the biggest challenges facing the education system in Bosnia and Herzegovina is bridging the gap between the current state of higher education and the demand for research, innovation and a robust STEM (Science, Technology, Engineering, Mathematics) curriculum. Higher education instiutions (HEIs) face poor R&D infrastructure while companies struggle with limited resources and the lack of internal researchers, all of which affect their capabilities to utilize university knowledge and research that will lead to further collaborations and innovations in STEM. Universities are primarily seen as a source of future employees as well as as a source of knowledge and innovation. This study aims to provide an overview and systematic analysis of the current state of scientific and research infrastructure and human resources in public and private universities located in the Sarajevo Canton region. This is done by using primary data collected through semi-structured interviews and a self-reporting comprehensive questionnaire in order to identify areas where further reforms and investments are needed. An analysis of the secondary data sources, such as current strategic documents and the existing assessments of education, was conducted. Consequently, this study offers several practical implications, including policy recommendations in areas such as higher education, research infrastructure and academic excellence, cooperation with the private sector, and IT infrastructure improvements.

Introduction: The most common cause of myocardial ischemia is atherosclerotic epicardial coronary artery disease, present in 90% of patients. Risk factors positively correlate with the onset, development and subsequent complications of atherosclerotic disease. Aim: Determine the percentage frequency of classic risk factors for coronary disease in patients with non-ST segment elevation myocardial infarction (NSTEMI), with regard to gender. Methods: A retrospective study was conducted on 600 respondents, treated for NSTEMI at the Clinic for Internal Medicine of the University Clinical Center (UKC) Tuzla, in the period from June 2016 to December 2019. Results: Overall, smoking was the leading risk factor (65%), followed by hypertension (58%), hyperlipoproteinemia (39%), overweight (33%), positive family burden (30%) and diabetes mellitus (19%). In male patients, the leading risk factor was smoking, rating at 74%, while in female patients – it was hypertension at 67%. In younger groups of patients leading risk factors were smoking and a positive family burden. Conclusion: With adequate prevention and treatment measures, a significant reduction in the prevalence of the cardiovascular disease can be achieved, since the risk factors for its development have long been known. Quitting smoking is one of the most effective secondary prevention measure since it reduces the reinfarction risk rate by 50%. Knowledge of coronary risks, as well as success in reducing them, can greatly contribute to patients’ overall sense of contentment and significantly raise their self-confidence.

Elaeagnus angustifolia (EA) is a medicinal plant used for treating several human diseases in the Middle East. Meanwhile, the outcome of EA extract on HER2-positive breast cancer remains nascent. Thus, we herein investigated the effects of the aqueous EA extract obtained from the flowers of EA on two HER2-positive breast cancer cell lines, SKBR3 and ZR75-1. Our data revealed that EA extract inhibits cell proliferation and deregulates cell-cycle progression of these two cancer cell lines. EA extract also prevents the progression of epithelial-mesenchymal transition (EMT), an important event for cancer invasion and metastasis; this is accompanied by upregulations of E-cadherin and β-catenin, in addition to downregulations of vimentin and fascin, which are major markers of EMT. Thus, EA extract causes a drastic decrease in cell invasion ability of SKBR3 and ZR75-1 cancer cells. Additionally, we found that EA extract inhibits colony formation of both cell lines in comparison with their matched control. The molecular pathway analysis of HER2 and JNK1/2/3 of EA extract exposed cells revealed that it can block HER2 and JNK1/2/3 activities, which could be the major molecular pathway behind these events. Our findings implicate that EA extract may possess chemo-preventive effects against HER2-positive breast cancer via HER2 inactivation and specifically JNK1/2/3 signaling pathways.