Abstract Background Many surgeons routinely place intraperitoneal drains after elective colorectal surgery. However, enhanced recovery after surgery guidelines recommend against their routine use owing to a lack of clear clinical benefit. This study aimed to describe international variation in intraperitoneal drain placement and the safety of this practice. Methods COMPASS (COMPlicAted intra-abdominal collectionS after colorectal Surgery) was a prospective, international, cohort study which enrolled consecutive adults undergoing elective colorectal surgery (February to March 2020). The primary outcome was the rate of intraperitoneal drain placement. Secondary outcomes included: rate and time to diagnosis of postoperative intraperitoneal collections; rate of surgical site infections (SSIs); time to discharge; and 30-day major postoperative complications (Clavien–Dindo grade at least III). After propensity score matching, multivariable logistic regression and Cox proportional hazards regression were used to estimate the independent association of the secondary outcomes with drain placement. Results Overall, 1805 patients from 22 countries were included (798 women, 44.2 per cent; median age 67.0 years). The drain insertion rate was 51.9 per cent (937 patients). After matching, drains were not associated with reduced rates (odds ratio (OR) 1.33, 95 per cent c.i. 0.79 to 2.23; P = 0.287) or earlier detection (hazard ratio (HR) 0.87, 0.33 to 2.31; P = 0.780) of collections. Although not associated with worse major postoperative complications (OR 1.09, 0.68 to 1.75; P = 0.709), drains were associated with delayed hospital discharge (HR 0.58, 0.52 to 0.66; P < 0.001) and an increased risk of SSIs (OR 2.47, 1.50 to 4.05; P < 0.001). Conclusion Intraperitoneal drain placement after elective colorectal surgery is not associated with earlier detection of postoperative collections, but prolongs hospital stay and increases SSI risk.

The contemporary world has reached a critical stage of development that imposes reforms at the highest and grassroots levels. Humanity realized that the current lifestyle increasingly threatens their welfare. Hence, we perceive that the Integration of Knowledge (IoK) methodological approach to reforming the development of Islamic economics, banking, and finance (IEBF) is central to transforming such a conventional approach to life. A reformed IEBF would focus on the maqasid (objectives) of shariah and the SDGs. The qualitative nature of this paper appraises the IoK methodological approach through a methodological pluralism recognizing rational and revelational sources of knowledge. This also involves methods of library research and critical content analysis. Firstly, an introduction reveals the distinctiveness of the IoK methodological approach as a shift from and based on the Islamization of Knowledge (IOK) movement. Its potential to reform IEBF becomes apparent because of common philosophical foundations like IOK’s. We highlight in brief the IEBF compatibility with and to reform via the IoK methodological approach and so attain targeted maqasid and SDGs. Secondly, a review of extant literature explains why the IOK and IE represent the solution to reform IEBF in contemporary times, to overcome mainstream economic, financial, and banking issues, and to fulfil maqasid and SDGs. Thirdly, findings show how the philosophical foundations of IOK represent the basis for future IEBF development via the IoK methodological approach. Moreover, we identify IoK methodological principles to appraise theories for IEBF development in light of the maqasid and SDGs agenda. Lastly, we conclude and provide actionable recommendations.

The computational analysis of fiber network fracture is an emerging field with application to paper, rubber-like materials, hydrogels, soft biological tissue, and composites. Fiber networks are often described as probabilistic structures of interacting one-dimensional elements, such as truss-bars and beams. Failure may then be modeled as strong discontinuities in the displacement field that are directly embedded within the structural finite elements. As for other strain-softening materials, the tangent stiffness matrix can be non-positive definite, which diminishes the robustness of the solution of the coupled (monolithic) two-field problem. Its uncoupling, and thus the use of a staggered solution method where the field variables are solved alternatingly, avoids such difficulties and results in a stable, but sub-optimally converging solution method. In the present work, we evaluate the staggered against the monolithic solution approach and assess their computational performance in the analysis of fiber network failure. We then propose a hybrid solution technique that optimizes the performance and robustness of the computational analysis. It represents a matrix regularization technique that retains a positive definite element stiffness matrix while approaching the tangent stiffness matrix of the monolithic problem. Given the problems investigated in this work, the hybrid solution approach is up to 30 times faster than the staggered approach, where its superiority is most pronounced at large loading increments. The approach is general and may also accelerate the computational analysis of other failure problems.

Aim To analyze additional set of Y-Chromosome genetic markers to acquire a more detailed insight into the diversity of the Croatian population. Methods The total number of 518 Yfiler™ Plus profiles was genotyped. Allele, haplotype frequencies and haplotype diversity, were calculated using the STRAF software package v2.0.4. Genetic distances were quantified by Rst using AMOVA online tool from the YHRD. The evolutionary history was inferred using the neighbor-joining method of phylogenetic tree construction in MEGAX software. Whit Athey’s Haplogroup Predictor v5 was used for additional comparison with selected European populations. Results The total of 507 haplotypes were used for genetic STR analysis. The interpopulation comparison with the original 27 Y-STR markers shows the lowest genetic diversity between Croatian and Serbian population, and the highest between Croatian and Spanish population. Interpopulation study on 17 Y-STR markers shows the lowest genetic diversity between Croatian and Bosnian-Herzegovinian population, and the highest between Croatian and Irish population. Total of 518 haplotypes were used in the determination of haplogroup diversity. Haplogroup I with its sublineage I2a expressed the highest prevalence. Haplogroup R, with its major sublineage R1a, is the second most abundant in the studied Croatian population, except for the subpopulation of Hvar, where E1b1b is the second most abundant haplogroup. Rare haplogroups also confirmed in this study are L, T and Q. G1 is detected for the very first time in Croatian population. Conclusion New insight into differences between examined subpopulations of Croatia and their possible (dis)similarities with neighboring abroad populations was notified.

Gambling of young people as a risky behavior is an increasingly current social problem, but also the subject of numerous researches. The gambling industry is one of the fastest-growing industries in the world, and a significant increase in availability has taken place in the Bosnian and Herzegovinan society. Young people in BiH are entering the world of gambling more often and easier. Bad economic situation, social unrest, high poverty and unemployment rates contribute to this situation. World statistics show that the increase in gambling was significantly affected by the COVID-19 pandemic. Omnipresent digitalization during the pandemic, movement restrictions, but also existential uncertainty have opened a new path to online gambling. Therefore, an research was conducted in which the habits of young people (N=174) and their frequency of (online) gambling were examined. The questionnaire results showed that 70.5% of respondents had played games of chance at least once in their lives. Young people usually play one-time tickets and sports betting. Of particular concern is the fact that individuals play online games of chance on a daily basis. They usually invest a smaller amount of money and more than half of the respondents have lost money on betting at least once. The data show that gambling is most often out of boredom, fun and socializing, and they do not consider such behavior to be problematic. According to self-assessment, only 5.9% of respondents believe that their gambling is somewhat or completely problematic, while 3.7% state that the degree of gambling addiction is so high that they need professional help. On the other hand, Bosnia and Herzegovina lacks prevention programs aimed at problematic youth gambling, which is why they remain deprived of professional support. All of this suggests that serious investment in public health and social policies is needed to offer quality prevention and psychoeducational programs.

[This corrects the article DOI: 10.3389/fpsyt.2021.785144.].

Next-generation mobile communication systems employ millimeter wave (mmWave) frequency bands with high bandwidths to enable high data rate transmissions. Further, the importance of high mobility scenarios, such as vehicular communication or high-speed train scenarios, is steadily increasing. To learn how wave propagation and scattering effects change from classical sub 6 GHz to mmWave frequencies, measurements in both bands have to be conducted. We perform wireless channel measurements at 2.55 GHz and 25.5 GHz center frequency at high mobility. To ensure a fair comparison between these two frequency bands, we perform repeatable measurements in a controlled environment. Our measurement methodology enables measurements at the same transmitter and receiver positions and velocities, but at different center frequencies. We compare measured wireless channels at the two employed frequency bands in terms of the delay-Doppler function.

Purpose: In today's sport, and especially in high-performance sports where volleyball also belongs, continuous monitoring of Body Composition (BC) can significantly regulate the training process, which has a positive effect on the top form of athletes. Aim of the current study was to assess and analyze the body composition of a female volleyball players VC "Jahorina", by Bioelectric Impedance Analysis (BIA). Material and methods: In study the participants consist 18 female volleyball players, the members of the  Volleyball Club ''Jahorina'' from Pale, East Sarajevo City (Body height = 173 ± 8.77 cm; Body weight = 66.04 ± 9.09kg; BMI = 22.03 ± 2.19 kg/m², decimal age 19.11 ± 2.63 years old) who competes in the Premier League of Bosnia and Herzegovina (B&H). Results: of the study showed that the body composition is within the healthy (allowed) values recommended for this population of volleyball players (Body Fat = 24.82%; Body Fat=11.44kg; Body Water = 53.68%; Body Muscle = 47.09 kg, BMR = 1538.08; DCI = 6435.38, etc.). Conclusion: Compared to the results of other authors, that Jahorina volleyball players do not lag far behind European clubs in terms of weaker BC (BF%, BFkg, BW%, BMkg, BMR, DCI, BMI, etc.). The only place where they are inferior is the body height of the volleyball player (height = 173 ± 8.77 cm), while the relative value of Body weight = 66.04 ± 9.09 kg is evident.

We investigate an economical explanation for the (g − 2)μ anomaly with a neutral vector boson from a spontaneously broken U(1)X gauge symmetry. The Standard Model fermion content is minimally extended by 3 right-handed neutrinos. Using a battery of complementary constraints, we perform a thorough investigation of the renormalizable, quark flavor-universal, vector-like U(1)X models, allowing for arbitrary kinetic mixing. Out of 419 models with integer charges not greater than ten, only 7 models are viable solutions, describing a narrow region in model space. These are either Lμ− Lτ or models with a ratio of electron to baryon number close to −2. The key complementary constraints are from the searches for nonstandard neutrino interactions. Furthermore, we comment on the severe challenges to chiral U(1)X solutions and show the severe constraints on a particularly promising such candidate.

We investigate whether the European Union can be considered as a convergence machine after the 2008/2009 financial crisis. To do so, we econometrically test the relationship between the per capita GDP growth rate and macroeconomic variables in the period of 2004–2018, further subdivided into three periods: 2004–2008, 2009–2013 and 2014–2018. We hypothesize that the 2008/2009 financial crisis had a negative effect on the σ and β-convergence process. Our results support the convergence hypothesis, namely that the poor countries tend to grow faster than the rich countries. The convergence rates ranged between 1.71% and 4.51%. The negative effects of the crisis on convergence have been identified only for the absolute convergence. Our findings demonstrate that economic openness, inflation and government integrity have a positive impact on growth. The effects of unemployment have not been identified.

The low seroprevalent human adenovirus type 26 (HAdV26)-based vaccine vector was the first adenovirus-based vector to receive marketing authorization from European Commission. HAdV26-based vaccine vectors induce durable humoral and cellular immune responses and, as such, represent a highly valuable tool for fighting infectious diseases. Despite well-described immunogenicity in vivo, the basic biology of HAdV26 still needs some refinement. The aim of this study was to determine the pro-inflammatory cytokine profile of epithelial cells infected with HAdV26 and then investigate the underlying molecular mechanism. The expression of studied genes and proteins was assessed by quantitative polymerase chain reaction, western blot, and enzyme-linked immunosorbent assay. Confocal microscopy was used to visualize HAdV26 cell uptake. We found that HAdV26 infection in human epithelial cells triggers the expression of pro-inflammatory cytokines and chemokines, namely IL-6, IL-8, IL-1β, and TNF-α, with the most pronounced difference shown for IL-6. We investigated the underlying molecular mechanism and observed that HAdV26-induced IL-6 gene expression is αvβ3 integrin dependent and NF-κB mediated. Our findings provide new data regarding pro-inflammatory cytokine and chemokine expression in HAdV26-infected epithelial cells, as well as details concerning HAdV26-induced host signaling pathways. Information obtained within this research increases our current knowledge of HAdV26 basic biology and, as such, can contribute to further development of HAdV26-based vaccine vectors.

Ayurvedic medicines are categorized into seven constitutional forms ‘Prakriti’ which is a constituent in the Ayurvedic system of medicine to determine drought tolerance and drug responsiveness. Prakriti assessment entails a thorough physical examination as well as queries about physiological or behavioral characteristics. The prevalence of certain "doshas" is attributed by Ayurveda to the fundamental constituent of a person. Vata, pitta, and Kapha are the three main doshas mentioned. Ayurveda-dosha studies have been used for a long time, but the quantitative reliability measurement of these diagnostic methods still lags. The careful and appropriate analysis leads to an effective treatment. In this paper, we demonstrate the result of certain machine learning methods like Support Vector Machine (SVM), Naive Bayes (NB), Decision Tree (DT), K-Nearest Neighbour (KNN), Artificial Neural Network (ANN), and Adaboost algorithm for various performance characteristics to predict human body constituencies. From the observations of results it is shown that the AdaBoost algorithm with hyperparameter tuning provides enhanced accuracy and recall of 0.97, precision and F-score of 0.96, the lower RSME value obtained is 0.64. The experimental results reveal that the improved model, which is based on ensemble learning methods, outperforms traditional methods significantly. According to the findings, advancements in the proposed algorithms could give machine learning a promising future.

Aims: Industrial processed food, pharmaceutical and cosmetical products contain numerous substances the safety of which has been widely concerned. Potassium sorbate (PS) is a common preservative used in a wide-range of products. Sunset yellow (SY) is one of the most commonly used dye in food and pharmaceutical industry. Several studies suggested cytotoxic and genotoxic potential of SY and PS in different cell lines. These effects can lead to organ damage and cancer development. The aim of this study is to investigate cytotoxic and genotoxic potential of two widely used food additives, SY and PS, in Jurkat cell line. Methodology: PrestoBlue assay was used to assess the cytotoxic potential of SY and PS. For observation of DNA damage, cytostatic and cytotoxic effects, the cytokinesis-block micronucleus cytome (CBMN) assay was performed. Results: Decrease of cell viability in Jurkat cell line was observed after 24-hour exposure to both SY and PS. CBMN assay has revealed significant increase of necrotic cells (P<0.05). Genotoxic biomarkers were in physiological range after 24-hour exposure to both analyzed additives. Conclusion: Our findings suggest that SY, as well as PS have cytotoxic potential in Jurkat cell line, as a result of increased number of necrotic cells. Higher cytotoxic effect was caused by SY compared to PS. However, genotoxic potential was not recorded for any of the food additives analyzed.