Background and Objectives: Left ventricular aneurysm (LVA) causes geometric changes, including reduced systolic function and a more spherical shape, which is quantified by the sphericity index (SI), the ratio of the short to long axis in the apical four-chamber view. This study aimed to assess SI’s value in A-LVA and B-LVA, identify influencing factors, and evaluate its clinical relevance. Materials and Methods: This clinical study included 54 patients with post-infarction LVA and used echocardiography to determine LVA locations (A-LVA near the apex and B-LVA in the basal segments), with SI and other echocardiographic measures assessed in both systole and diastole for the entire cohort and stratified by A-LVA and B-LVA groups. Results: Among the 54 patients, 41 had A-LVA and 13 had B-LVA. The mean SI was 0.55 in diastole and 0.47 in systole for the cohort. Patients with A-LVA had a mean SI of 0.51 in diastole and 0.44 in systole, while B-LVA patients exhibited significantly higher SI values, with 0.65 in diastole and 0.57 in systole, due to lower long-axis (L) values in both phases. The mean left ventricular ejection fraction (EF) was 23.95% in A-LVA and 30.85% in B-LVA, with no significant difference. However, apical aneurysms were larger (greater LVAV and LVAA) and more significantly reduced functional myocardium. LVEDV, LVESV, LVEDA, and LVESA did not differ significantly between A-LVA and B-LVA. In cases of severe mitral regurgitation (MR), SI was notably higher (0.75 in diastole) due to a marked reduction in the L axis. Conclusions: SI is key in differentiating A-LVA and B-LVA on echocardiography. B-LVA has lower volume and area values, but similar aneurysm and left ventricular volumes and EF. Higher SI in B-LVA is due to a reduced L-axis, and is worsened by severe mitral regurgitation (MR). Surgical ventricular reconstruction (SVR) compensates for L-axis reduction, with preservation of the L axis critical for achieving a more physiological shape. SI thus serves as a marker for left ventricular geometry and surgical outcomes.

Background In addition to age, body mass index (BMI), abdominal circumference, and parity, measuring the mother's pelvic diameters is a non-invasive, cost-effective method that can assist gynecologists in determining the optimal management of labor. Our study aimed to examine the associations between maternal age, pelvic diameters, BMI, abdominal circumference, and parity with delivery outcomes and investigate differences in pelvic diameters in relation to maternal age, BMI, delivery outcomes, parity, and episiotomy. Materials and methods The observational, cross-sectional study included 108 pregnant women in the active phase of labor who were admitted to the Gynecological Clinic at the Clinical Center University of Sarajevo. During admission, maternal data were registered: age, body height, body weight, abdominal circumference, and BMI. Using a pelvinometer, pelvic diameters were recorded: interspinous diameter (DS), intertrochanteric diameter (DT), intercristal diameter (DC), and external conjugate (CE). The Anterior Pelvic Index (API) was calculated by dividing the DS by the participants' height and multiplying the result by 100. Data were analyzed using SPSS Statistics for Windows, Version 17 (Released 2008; SPSS Inc., Chicago, United States). Results Women who underwent cesarean section were significantly older compared to those with spontaneous vaginal delivery. A significant correlation was observed between maternal age, BMI, and delivery outcomes. Obese women had significantly higher DT compared to women with normal or overweight BMI. Primiparous and multiparous women differed significantly in CE, while other pelvic diameters did not differ. Women with episiotomy had significantly lower DS and CE diameters compared to those without episiotomy during vaginal delivery. Conclusion Maternal age, BMI, and pelvic diameters are significant delivery outcome determinants; our findings suggest that these parameters deserve to be included in delivery outcome assessment as they provide substantial information in the journey of achieving personalized delivery care and decision-making.

Polyploidy is a powerful mechanism driving genetic, physiological, and phenotypic changes among cytotypes of the same species across both large and small geographic scales. These changes can significantly shape population structure and increase the evolutionary and adaptation potential of cytotypes. Alyssum moellendorfianum, an edaphic steno-endemic species with a narrow distribution in the Balkan Peninsula, serves as an intriguing case study. We conducted a comprehensive analysis of genetic diversity and population structure across the species’ range, employing an array of genetic techniques (nuclear microsatellites, amplified fragment length polymorphisms, and plastid DNA sequences), flow cytometry (FCM), morphometry, and pollen analysis. The study reveals two genetic lineages: spatially distributed diploid and tetraploid cytotypes. Clear divergence between diploids and tetraploids was shown by AFLP, while plastid DNA sequences confirmed private haplotypes in each of the studied populations. Higher genetic diversity and allelic richness following the north-south pattern were documented in tetraploids compared to diploids, as indicated by nuclear microsatellites. Morphometric analysis via principal component analysis (PCA) and canonical discriminant analysis (CDA) did not reveal any divergence between diploid and tetraploid cytotypes. Nonetheless, a distinction in pollen size was clearly observed. The results suggest an autopolyploid origin of tetraploids from diploid ancestors. Despite the population fragmentation in a very small geographic range, these populations harbour high genetic diversity, which would allow them to remain stable if natural processes remain undisturbed.

Background: CPAP has been shown to be particularly beneficial in the management of acute cardiogenic pulmonary edema by reducing both preload and afterload, thus decreasing the work of breathing and improving oxygenation. Methods: This study was a prospective observational study, conducted in the period from 2022 to 2024, assessing the effectiveness and safety of prehospital CPAP therapy use in patients with acute cardiogenic pulmonary edema, administered alongside standard care. Results: In this study, 50 patients with acute cardiogenic pulmonary edema were treated by physician-led emergency teams in the Canton of Sarajevo. CPAP significantly improved clinical parameters across all time points. Systolic blood pressure decreased from 151.0 ± 41.0 mmHg at initial contact to 138.4 ± 32.0 mmHg before transportation and further to 130.2 ± 28.5 mmHg upon hospital admission (p < 0.001). Diastolic pressure dropped from 85.6 ± 17.2 mmHg to 81.1 ± 15.2 mmHg before transportation (p = 0.018), with a slight further decrease to 80.2 ± 13.9 mmHg (p = 0.083). Heart rate fell from 114 ± 26.4 bpm to 111.3 ± 24.9 bpm before transportation (p = 0.003) and finally to 99.5 ± 18.2 bpm before hospital admission (p < 0.001). Respiratory rate decreased from 31.0 ± 10.2 to 28.0 ± 10.5 breaths/min (p = 0.002) and further to 22.6 ± 7.3 breaths/min (p < 0.001). End-tidal CO2 levels increased from 28.0 mmHg (23.5; 33.5) to 30.0 mmHg before transportation (p < 0.001), and to 35.0 mmHg (32.0; 37.5) before hospital admission (p < 0.001). Oxygen saturation improved from 79.0% (72.0; 81.0) to 84.0% before transportation (p < 0.001) and reached 94.0% (91.0; 98.2) before hospital admission (p < 0.001). VAS scores for dyspnea significantly dropped from 8.0 (6.0; 8.2) at initial contact to 6.0 (4.0; 8.0) before transportation (p < 0.001) and further to 4.0 (3.0; 5.0) before hospital admission (p < 0.001), indicating substantial symptom relief. ECG findings remained stable throughout the intervention. Conclusions: Prehospital CPAP therapy significantly improved clinical outcomes in cardiogenic pulmonary edema, including reductions in blood pressure, heart rate, respiratory rate, and enhanced oxygenation and symptom relief. These findings support its broader use in emergency care, even during short transport times.

Trigonometry is an important part of secondary school mathematics, but it is usually challenging for students to understand and learn. Since trigonometry is learned and used at a university level in many fields, like physics or geodesy, it is important to have an insight into students’ trigonometry knowledge before the beginning of the university courses. This research aimed to develop a test in triangle and circle trigonometry, which can be used to test students’ prior knowledge of basic trigonometric concepts. A test with multiple-choice questions was developed based on content and learning outcomes from the secondary school curriculum. After a group of three experts evaluated the content validity of the test, the corrected version was given to 58 first-year students at the Department of Mathematics and Computer Science. After the test and item analysis, a final version of the test was made which can be used as a short initial test to measure students’ prior knowledge of trigonometry at the beginning of a university course.

As simulations play a crucial role for the development of modern electrical machines, it is very important to have good material models used in these simulations. Material models are dependent on certain material parameters which often cannot be measured directly and usually require a lot of computational resources to be determined. This paper investigates the application of neural networks and Gaussian processes for the identification of the magnetic permeability in electrical steel sheets. Through the manufacturing process of such steel sheets, different cutting techniques produce different material behaviour in the vicinity of the cutting edge. Therefore, the method requires the generation of datasets dependent on the degradation profile of the cut steel sheets. This is achieved through simulation and the constructed models can be reused without further simulation runs. This paper also uses an ensemble method to mitigate the issue of measurement noise. For the whole training and testing only simulation data is used as actual measurement data is not yet available.

We introduce the concept of Diophantine spherical vague set approach to multiple-attribute decision-making. The Spherical vague set is a novel expansion of the vague set and interval valued spherical fuzzy set. Three new concepts have been introduce such as Diophantine spherical vague weighted averaging operator, Diophantine spherical vague weighted geometric operator, generalized Diophantine spherical vague weighted averaging operator and generalized Diophantine spherical vague weighted geometric operator. We provide a numerical example to show how Euclidean distance and Hamming distance interact. Applications of the Diophantine spherical vague number include idempotency, boundedness, commutativity and monotonicity in algebraic operations. They can determine the optimal option and are more well-known and reasonable. Our goal was to identify the optimal choice by comparing expert opinions with the criteria. As a result, the model’s output was more accurate as well as in the range of the natural number . The weighted averaging distance and weighted geometric distance operators are distance measure that is based on aggregating model. By comparing the models under discussion with those suggested in the literature, we hoped to show their worth and reliability. It is possible to find a better solution more quickly, simply, and practically. Our objective was to compare the expert evaluations with the criteria and determine which option was the most suitable. Because they yield more precise solutions, these models are more accurate and more related to models with . To show the superiority and the validity of the proposed aggregation operations, we compared it with the existing method and concluded from the comparison and sensitivity analysis that our proposed technique is more effective and reliable. This investigation yielded some intriguing results.

As the volume of plastic waste from electrical and electronic equipment (WEEE) continues to rise, a significant portion is disposed of in the environment, with only a small fraction being recycled. Both disposal and recycling pose unknown health risks that require immediate attention. Existing knowledge of WEEE plastic toxicity is limited and mostly relies on epidemiological data and association studies, with few insights into the underlying toxicity mechanisms. Therefore, this study aimed to perform comprehensive chemical screening and mechanistic toxicological assessment of WEEE plastic-associated chemicals. Chemical analysis, utilizing suspect screening based on high-resolution mass spectrometry, along with quantitative target chemical analysis, unveiled numerous hazardous compounds including polyaromatic compounds, organophosphate flame retardants, phthalates, benzotriazoles, etc. Toxicity endpoints included perturbation of morphological phenotypes using the Cell Painting approach, inflammatory response, oxidative stress, and endocrine disruption. Results demonstrated that WEEE plastic chemicals altered the phenotypes of the cytoskeleton, endoplasmic reticulum, and mitochondria in a dose-dependent manner. In addition, WEEE chemicals induced inflammatory responses in resting macrophages and altered inflammatory responses in lipopolysaccharide-primed macrophages. Furthermore, WEEE chemicals activated the nuclear factor erythroid 2-related factor 2 (Nrf2) pathway, indicating oxidative stress, and the aryl hydrocarbon receptor (AhR). Endocrine disruption was also observed through the activation of estrogenic receptor-α (ER-α) and the induction of anti-androgenic activity. The findings show that WEEE plastic-associated chemicals exert effects in multiple subcellular sites, via different receptors and mechanisms. Thus, an integrated approach employing both chemical and toxicological methods is essential for comprehensive assessment of the toxicity mechanisms and cumulative chemical burden of WEEE plastic-associated chemicals.

Considering our previous experience in the design of new cholinesterase inhibitors, especially resveratrol analogs, in this research, the basic stilbene skeleton was used as a structural unit for new carbamates designed as potentially highly selective butyrylcholinesterase (BChE) inhibitors with excellent absorption, distribution, metabolism, excretion and toxicity ADMET properties. The inhibitory activity of newly prepared carbamates 1–13 was tested toward the enzymes acetylcholinesterase (AChE) and BChE. In the tested group of compounds, the leading inhibitors were 1 and 7, which achieved excellent selective inhibitory activity for BChE with IC50 values of 0.12 ± 0.09 μM and 0.38 ± 0.01 μM, respectively. Both were much more active than the standard inhibitor galantamine against BChE. Molecular docking of the most promising inhibitor candidates, compounds 1 and 7, revealed that stabilizing interactions between the active site residues of BChE and the ligands involve π-stacking, alkyl-π interactions, and, when the carbamate orientation allows, H-bond formation. MD analysis confirmed the stability of the obtained complexes. Some bioactive resveratrol-based carbamates displayed complex-forming capabilities with Fe3+ ions as metal centers. Spectrophotometric investigation indicated that they coordinate one or two metal ions, which is in accordance with their chemical structure, offering two binding sites: an amine and a carboxylic group in the carbamate moiety. Based on the obtained in silico, experimental and computational results on biological activity in the present work, new carbamates 1 and 7 represent potential selective BChE inhibitors as new therapeutics for neurological disorders.

Background: Rescue stenting (RS) is a bailout strategy for failed thrombectomy. Optimal platelet inhibition strategy after RS remains unclear. Objectives: We aimed to describe and compare different platelet inhibition strategies during/after RS. Design: Retrospective cohort study across 34 international centers. Methods: Patients with large vessel occlusion and RS after failed thrombectomy (2019–2023) were included. Periprocedural and postprocedural platelet inhibition strategies were described and compared, focusing on glycoprotein IIb/IIIa (GPIIb/IIIa) inhibitors, single antiplatelet therapy (SAPT), and dual antiplatelet therapy (DAPT). We assessed the effects of platelet inhibition strategy and potentially covariates on the primary outcome of 90-day modified Rankin Scale (mRS) using ordinal shift analysis with proportional odds models. Results: RS was performed in 589 patients (mean age 67.9 years, 60.8% male). Numerous combinations of platelet inhibitors were administered. Periprocedural GPIIb/IIIa inhibitors were used in 61.5% of patients. Postprocedural DAPT was administered to 80.5% and SAPT to 13.3%. Functional independence (mRS 0–2) was achieved in 40.7%, while 26.3% died within 90 days. Stent occlusion occurred in 20.5%, with 67.6% of these occlusions within 24 h. Postprocedural stent-occlusion was independently associated with worse functional outcome at 90 days (OR 4.1, 95% CI 2.3–7.2, p < 0.001). No significant association between periprocedural GPIIb/IIIa inhibitors, and 90-day mRS or stent occlusion was found. Postprocedural SAPT was associated with worse functional outcomes (adjusted odds ratio (aOR) 2.4, 95% CI 1.1–5.0, p = 0.02), higher mortality (aOR 2.1, 95% CI 1.05–4.0, p = 0.03), and increased stent occlusion rates (aOR 4.8, 95% CI 2.3–9.7, p < 0.001) compared to postprocedural DAPT. Symptomatic intracranial hemorrhage occurred in 6.8% of patients, with no significant difference between antiplatelet regimens. Conclusion: Extensive heterogeneity exists in platelet inhibition strategies following RS. Stent occlusion is associated with worse clinical outcomes, and the first 24 h post-RS are critical for stent patency. Compared to SAPT, DAPT was associated with better functional outcome, lower mortality, and lower stent occlusion rates. Plain language summary When clot removal for stroke fails and a stent is placed, different blood thinner treatments affect risk of stent blockage and outcomes When doctors try to remove a blood clot during a stroke but are unsuccessful, they sometimes place a stent to reopen the blocked artery—a procedure called “rescue stenting.” After placing a stent, patients need blood-thinning medications to prevent the stent from becoming blocked again. However, the best way to manage these medications is unclear. In this study, we looked at 589 patients from 34 hospitals around the world who had rescue stenting between 2019 and 2023. We compared different strategies for using blood thinners, including strong drugs given during the procedure and either one (“single”) or two (“dual”) blood thinners given afterward. We found a lot of variation in how doctors used these medications. Using a strong blood thinner during the procedure didn’t seem to change long-term recovery or the risk of the stent blocking. However, after the procedure, patients who were treated with two blood thinners did better than those who got only one. Patients on dual therapy were more likely to recover well, less likely to die, and less likely to have their stent block again. Importantly, most stent blockages happened within the first 24 hours after the procedure, and patients with stent blockages did worse, highlighting the 24h period as critical for blood thinner treatment.

Abstract Human activities cause a global loss of soil microbiome diversity and functionality. One way to reverse this trend is through microbiota transplants, but the processes determining merger outcomes are not well understood. Here, we investigated the roles of habitat filtering and microbiota origin on microbiome development upon mergers, with the hypothesis that native strains are better adapted to their own habitat and will outcompete non-native ones in niche colonization. To test this, we contrasted community development in soil microcosms between two taxa-diverse microbiota originating from either topsoil [SoilCom (SC)] or freshwater lake [LakeCom (LC)], and a defined mixture of 21 soil bacteria (SynCom). When inoculated separately, SC and LC showed similar taxa and colonization patterns contributing to community growth and decline within the soil microcosms. SynCom transplants to either SC or LC under renewed growth conditions permanently altered their community trajectories, and slightly further converged their taxa compositions. Levels of SynCom members in both resident backgrounds decreased from initial 50–80% to below 1% within 2 months. Merged as well as non-merged communities resembled natural soils in comparison to over 81 000 publicly available soil, sediment, and lake microbiomes. Our results show that habitat filtering is dominant over microbiota taxa origin in determining transplant outcomes. Even though the proliferation of SynCom transplants remained limited, their capacity to influence community merger trajectories long term opens new paths for soil microbiome engineering.