A modern interdisciplinary analysis of social networks implies detecting and investigating relevant socio-psychological linguistic markers that carry insight on the nature and characteristics of the social discourse. Associating markers to specific words is a further important step, allowing for an even richer interpretation. By taking as a working example the social discourse in Twitter, we propose a scalable method called PageRank-like marker projection (PLMP) following a rationale inspired by PageRank to fully exploit the interdependencies in a semantic network, so as to meaningfully project markers from a social discourse level (tweets) to its semantic elements (words). The effectiveness of PLMP is shown with an application example on calls to online collective action.

Tobacco is both toxic and addictive. Mounting evidence shows that tobacco use has a detrimental impact on almost every aspect of human health, causing or worsening deadly public health crises from the cancer epidemic to the COVID-19 pandemic. However, while tobacco use is a threat to both personal and public health, it continues to surge across the world, especially in China and other low- and middle-income countries. To this end, this article argues in favor of using a ban on the sale of all tobacco products as a practical solution to the global tobacco use epidemic. It is our hope that insights provided by our work will inspire swift policy actions in countries such as China and beyond to curb the tide of rising tobacco consumption, so that populations around the world could be better shielded from the pervasive and long-lasting damage that tobacco products cause or compound.

The rapid development of information technology (IT) both forces and supports the transformation of universities in almost all their operations (strategic planning, budgeting, education, research, quality control, cooperation with business and society, etc.). The paper presents the research results related to the digitalization of different processes at universities – more specifically, teachers’ opinions on the effect of digitalization on different processes. The survey was conducted among the University of Mostar, Bosnia, and Herzegovina (BH) teachers. The authors identified processes at the university and investigated the perceived impact of information technology on them. The findings show that the impact of digitalization is positive on most processes, whereby a strong influence is determined for research projects financed by the Ministry of Education, quality management, teaching, and evaluation of acquired knowledge (examination).

An effective aggregation of node features into a graph-level representation via readout functions is an essential step in numerous learning tasks involving graph neural networks. Typically, readouts are simple and non-adaptive functions designed such that the resulting hypothesis space is permutation invariant. Prior work on deep sets indicates that such readouts might require complex node embeddings that can be difficult to learn via standard neighborhood aggregation schemes. Motivated by this, we investigate the potential of adaptive readouts given by neural networks that do not necessarily give rise to permutation invariant hypothesis spaces. We argue that in some problems such as binding affinity prediction where molecules are typically presented in a canonical form it might be possible to relax the constraints on permutation invariance of the hypothesis space and learn a more effective model of the affinity by employing an adaptive readout function. Our empirical results demonstrate the effectiveness of neural readouts on more than 40 datasets spanning different domains and graph characteristics. Moreover, we observe a consistent improvement over standard readouts (i.e., sum, max, and mean) relative to the number of neighborhood aggregation iterations and different convolutional operators.

The use of food additive nitrite as curing agents is common in meat products, but their concentration in these products has raised the interest of researchers, because of the possible toxicity to humans.  The aim of this study is to assess the nitrite concentration in meat products, which are highly used by all population groups in Kosovo. A total of 44 different meat products samples available on sale to the population, were assessed for residual nitrite using the spectrophotometric method that uses absorption in visible part of spectra. The amount of residual nitrites was detected in 19 (43%) of the samples, which included beef and chicken sausages, chicken & beef salami as well as beef prosciutto samples. The nitrite residue ranged between 0.1 and 11.5 mg/kg and was below the limits on the concentration of nitrites in meat products established by EU regulation 601/2014.  Although these findings show that, the nitrite residue in the analyzed meat products is within the permitted limits, the highest presence of residual nitrite in industrial and low-cost meat products indicates a need for further assessments of nitrite exposure among consumers.

Introduction: Landmark ISCHEMIA (ISCH) trial provided unique information, but the generalizability of its results into myocardial revascularization guidelines and practice has been met by unprecedented debate. Hypothesis: We aimed to compare the 5 year all-cause mortality (5y Mt) in our ISCH trial like patients (pts) with results in ISCH. Methods: After applying ISCH study inclusion/exclusion criteria we identified 854 pts from our prospective database of 2455 consecutive pts who had the first isolated CABG in 2012-2015 with complex CAD with 100% follow up (F-up) of 5y Mt. Results: Comparative characteristics of ISCH like and actual ISCH pts are presented in Table 1. Аll our pts underwent CABG, contrary to ISCH where CABG and PCI were used in 538 and 1532 pts, consecutively. Although in ISCH pts had high diversity of ethnicity, were older, had more DM2 (but less insulin dependent), and had previous PCI or CABG in 25%, our pts were strikingly sicker (lower LVEF, higher proportion of 3VD and proximal LAD, higher NYHA as well as more comorbidities) 5-year mortality was 8.9% compared to 9% in the Invasive arm of ISCH. Of note 48 h mortality from MI type 5 (post CABG) was 1.67% in ISCH, and 30-day Mt in our study was 1.30%, with complete revascularization in 95%. As expected by the disease severity treated by CABG early Mt was higher in our than ISCH pts (Figure 1). Conclusion: The present study findings outline that translation of results from the ISCHEMIA trial with practice-changing implications into recommendations for a local Heart Team discussion to advise the best treatment decision for patients with more complex forms of CAD is uncertain and requires further research activities.

Thymic epithelial tumors (TET) are a group of rare neoplasms of the anterior mediastinum comprising thymomas and thymic carcinomas. The carcinogenesis of TET is mostly unknown. Many studies, mostly retrospective case series, have tried to establish prognostic factors in TET. TET is a very heterogeneous group of tumors with many subtypes for which diagnosis and treatment remains a very challenging task. Despite the disparities among retrospective studies, there are some prognostic factors that are more pertinent such as the completeness of resection, TNM stage and the Masaoka‐Koga classification. On the other hand, the identification of different genetic pathways that result in the pathogenesis of TET represents a fascinating field of study that could possibly lead to the development of new targeted therapies. The aim of this review is to discuss the different prognostic factors and genetic markers of TET. The meticulous use of national and international databases could provide sufficient number of patients in order to draw more valid conclusions.

Introduction: Women are less likely than men to be promptly diagnosed with acute coronary syndrome (ACS) and have worse post-ACS outcomes. These diagnostic failures are partially due to ACS findings on surface ECG manifesting differently in women, which may result in unnecessary delays in treatment. To narrow health disparities, we aim to investigate the sex-specific signatures of ACS as they appear on ECGs. Methods: This was a prospective observational cohort study of chest-pain patients evaluated for suspected ACS at 3 UPMC-affiliated tertiary care hospitals. After featurization, all ECG data were separately fed into 7 machine learning classifiers to predict ACS. We examined the results by sex. We also investigated two other methods: (1) building two independent models based respectively on the female and male subgroups and (2) building a model based on the initial total sample supplemented by the patients’ sex. We used Shapley values to explain the decision-making criteria of the models. We report the results for random forest, the best performing classifier. Results: Our sample consisted of 4132 patients (Age 59 ± 16; 47% female; 15% ACS). Machine learning models continue to disproportionately underperform in females across all classifiers evaluated. The sensitivity, specificity and false negative rate in the global model blinded to sex were 82.89%, 76.22% and 17.11% for men, and 67.39%, 74.16% and 32.61% for women (p<0.0001). This statistically significant gap could not be alleviated by building sex-specific models or feeding sex to the input of the model. Indeed, the rate of false negatives in sex-specific models and global models with sex as input were 14.67% and 18.42% for men, and 34.04% and 32.61% for women (p<0.0001). The explainability analysis of the sex-specific models revealed that STT configuration in lateral leads is most informative in women, whereas STT configuration in all leads and particularly in anterolateral leads most informative in men. Conclusions: Machine learning models display crucial sex differences in the ACS signatures on the ECG that consistently put women in a detrimental situation. The alternative methods investigated here are not adequate solutions for this disparity. Thus, further investigations should be conducted.

The horseshoe prior is known to possess many desirable properties for Bayesian estimation of sparse parameter vectors, yet its density function lacks an analytic form. As such, it is challenging to find a closed-form solution for the posterior mode. Conventional horseshoe estimators use the posterior mean to estimate the parameters, but these estimates are not sparse. We propose a novel expectation-maximisation (EM) procedure for computing the MAP estimates of the parameters in the case of the standard linear model. A particular strength of our approach is that the M-step depends only on the form of the prior and it is independent of the form of the likelihood. We introduce several simple modifications of this EM procedure that allow for straightforward extension to generalised linear models. In experiments performed on simulated and real data, our approach performs comparable, or superior to, state-of-the-art sparse estimation methods in terms of statistical performance and computational cost.

Introduction: Dental fear and anxiety (DFA) is a ubiquitous entity among dental patients in terms of their prevalence and incidence. It is among the major clinical problems in dentistry. In addition, the differences in DFA prevalence were present considering the age and gender of patients and over time, but with some opposite reports. The aim of this study is to examine the prevalence of DFA presence in children concerning their age, gender, and over time. Methods: The survey sample comprised 200 of 9–12-year-old children. The DFA presence was determined twice by the modified version of the CFSS-DS scale (CFSS-DS-mod scale) during a 6-months long period between the first and the subsequent dental appointment due to the need for restorative dental treatment. The scale was applied before the restorative treatment started on both occasions. Results: The prevalence of DFA was 17.5% in the study sample and decreased over time. It was slightly higher in girls. Conclusions: The DFA prevalence in 9–12-year-old children is decreasing over time. Latent manifestations of DFA presence should be considered for evaluation in the future.