Search Results (18)

Background and Objectives: Coronary artery ectasia (CAE) is defined as a localized or diffuse dilatation of the coronary arteries and is often associated with atherosclerosis, congenital factors, or inflammatory conditions. Given emerging evidence that psychological factors may influence cardiovascular health, this study investigated whether psychological hardiness and past traumatic experiences are associated with CAE. Materials and Methods: This study employed a retrospective, cross-sectional, observational design involving 80 participants. All participants were administered a socio-demographic data form, the Beck Depression Inventory (BDI), the Beck Anxiety Inventory (BAI), the Personal Views Scale III-R (PVS III-R), and the Stressful Life Events Screening Form (SLESF). Results: The PVS III-R scale score for patients with CAE was significantly higher than that of the control group. The SLESF scores were markedly lower in the CAE group when compared to the control group, demonstrating that the control group experienced substantially more intense traumatic events when compared to CAE patients. Binary logistic regression was applied to determine variables associated with CAE, and the results were statistically significant. Notably, higher self-reported PVS III-R scores were independently associated with the presence of CAE. Conclusions: This study may provide a preliminary psychosomatic perspective on the pathophysiology of CAE, emphasizing the complexities of mind–body interactions. It suggests that high psychological hardiness may be associated with unexpected biological outcomes and warrants further investigation. Full article

Background and Objectives: Thrombophilia is a prothrombotic disorder that increases the risk of blood clotting and can pose serious health problems. It is considered a condition of gene–gene or gene–environment interactions. Variation in the prevalence of thrombophilia mutations and their interaction among populations necessitates localized genetic assessments. However, population-based genetic data remains limited for developing effective preventive strategies. Materials and Methods: This cross-sectional observational study was conducted over five years (2020–2024) at a tertiary university hospital in Northern Greece. A total of 2961 individuals aged 18–85 years (mean: 50.5) were registered based on family or medical history of venous thromboembolism (VTE) or clinical symptoms of VTE. The final analysis included 2078 participants comprising 1143 males (55%) and 935 females (45%), who met all the inclusion criteria. Inclusion criteria were absence of acute illness or malignancy, informed consent, and an adequate DNA quantity for genotyping, whereas excluded criteria included incomplete laboratory data, active inflammatory or malignant disease, and cognitive or psychiatric conditions. Peripheral blood samples were collected in 2 mL K₃-EDTA tubes, and genomic DNA was analyzed using real-time polymerase chain reaction (PCR) with melting curve analysis and hybridization probes (LightMix^® in vitro diagnostics, TIB MolBiol, Berlin, Germany). Five thrombophilia-related polymorphisms, Factor V Leiden (F5 G1691A), prothrombin (F2 G20210A), methylenetetrahydrofolate reductase (MTHFR C677T and MTHFR A1298C), and Plasminogen Activator Inhibitor-1 (PAI-1) 4G/5G, were examined for allele and genotype frequencies, Hardy–Weinberg equilibrium testing, pairwise linkage disequilibrium (D′ and r²), and power analysis. For subjects tested for Factor V Leiden (n = 1476), the activated protein C resistance (APC) ratio was additionally evaluated using the ACL TOP 750 analyzer. Results: Allele frequencies were 7.3% for FV Leiden and 3.7% for FII. The PAI-1 allele was distributed at 44%, while the MTHFR (C677T and A1298C) alleles were each present at 33%. Significant linkage disequilibrium was identified between MTHFR (C677T and A1298C) and between MTHFR A1298C and PAI-1. No evolutionary pressure or demographic bias was found in the Hardy–Weinberg equilibrium. The APC ratio demonstrated a high sensitivity (99.2%) and specificity (96.6%), indicating that it may serve as a reliable screening method. Conclusions: Our findings highlight informative patterns in the genetic predisposition to thrombophilia, which may help develop rule-based strategies for implementing thromboprophylaxis guidelines and personalized medical interventions. Full article

Background/Objectives: Polymorphisms in metalloproteinases (MMPs) have the potential to be probable genetic biomarkers of dental caries. The aim of this study was to evaluate the distribution of the MMP13 A/G rs2252070 single nucleotide polymorphism (SNP) according to caries experience in Salvadoran children. Methods: A cross-sectional study was carried out on 185 Salvadorian school children between 7 and 12 years of age. Demographic data, frequency of toothbrushing, dental flossing and consumption of sugar-sweetened beverages were recorded. Caries data were collected by clinical examination. Genomic DNA was obtained from oral cells of the children. Polymorphism genotyping was performed by PCR-RFLP. Allele and genotypic frequencies were compared between the healthy and caries-experiencing groups. Data were analyzed with SPSS 26.0 using the chi-square test, the Kruskal–Wallis test and logistic regression analysis. Results: The allele frequencies of MMP13-77 A/G were 0.7 and 0.3 following the Hardy–Weinberg equilibrium (X² = 0.22, p = 0.63). 72% of subjects with caries experience were carriers of the A allele. Caries experience was higher for the GG genotype group for permanent and primary surfaces (DMFS = 2.11; dmfs = 5.64) and for permanent teeth (DMFT = 1.50). No significant differences were found in the allelic and/or genotypic frequencies of the SNP polymorphism between subjects with dental caries and healthy subjects (p > 0.05). Conclusions: The distribution of MMP13-77 A/G rs2252070 in the study population showed no association with caries experience. However, our findings highlight the importance of promoting oral hygiene habits from an early age. Full article

Background and Objectives: Atrial fibrillation (AF) is the most common cardiac arrhythmia globally, leading to a high risk of stroke and heart failure. Genetic factors are known to play an essential role in AF risk. However, studies on genetic predisposition in asymptomatic young populations remain limited. This study aimed to investigate the prevalence of genetic variants in the PITX2 (rs2200733, rs10033464, and rs13143308), TBX5 (rs883079), PRRX1 (rs3903239), ZFHX3 (rs2106261), and HAND2 (rs7698692) polymorphisms and to assess their correlation with susceptibility to AF in a young adult population in India. Materials and Methods: This cross-sectional study included 250 subjects aged 18–29. Detailed lifestyle and family histories were collected for each participant. Genetic variation was determined using a specific TaqMan SNP genotyping assay. Hardy–Weinberg equilibrium (HWE) analysis and chi-square tests were employed to assess genotype frequencies, and statistical associations with lifestyle factors (body mass index, alcohol consumption, and smoking) were evaluated using t-tests and descriptive statistics. Results: Minor allele frequencies were varied across the study population, with notable frequencies in rs2200733 T (16%), rs10033464 T (27%), rs13143308 T (32%), rs883079 T (46%), rs3903239 G (25%), rs2106261 T (26%), and rs7698692 G (14%). HWE analysis confirmed that all SNPs were in equilibrium (p > 0.05). Approximately 15% of individuals carried six or more risk alleles, indicating a significant genetic predisposition to AF despite the absence of clinical symptoms. Conclusions: This study provides new insights into the genetic predisposition to AF among young adults in India. The high prevalence of risk alleles in asymptomatic young adults highlights the necessity of early genetic screening for AF risk and the role of genetic counseling in preventing cardiac complications. Full article

To enhance the mechanics and self-healing properties of the self-healing composite, this study introduces an innovative optimization method for variable-angle fiber-reinforced self-healing composites with microtubule network carriers. The study aims to minimize macroscopic structural compliance and carrier head loss. Firstly, a topological description function (TDF) for the self-healing composite was introduced, taking into account the configuration and geometry of the macroscopic structure and microtubule network carrier as design variables. Secondly, the relationship between the fiber laying angle and component spindle direction was established. An element stiffness matrix for variable-angle fibers was derived to determine the compliance of the self-healing composite. Then, the microtubule network head loss was calculated based on the Hardy Cross method. Finally, by integrating the Moving Morphable Component (MMC) method and the enumeration method, a dual-scale collaborative optimization framework was developed. The set of double-objective Pareto non-inferior solutions of the self-healing composite was obtained by iteration. Numerical examples show that (1) under the same optimization conditions, the non-inferior solution set of variable-angle fiber design is superior to those of fixed-angle fiber designs (0°, 45°, and 90°). (2) Compared with single-objective (compliance) optimization of the carrier-free composite, the Pareto solution set of the variable-angle dual-scale collaborative optimization can provide a better compliance optimization solution, and the maximum compliance solution of the solution set is only 10.64% higher. This paper proposes a method combining variable-angle and dual-scale collaborative optimization, which provides a useful reference for the topology design of a self-healing composite. Full article

(1) Background: Psychological burnout (BO) is one of the most significant challenges faced by university students. This study aimed to explore the perceived levels of BO, psychological resilience (PR), and psychological hardiness among university students in Jordan. It also investigated the factors that may contribute to psychological BO. (2) Methods: Using a cross-sectional design, a total of 1219 university students (female = 933 (76.5%), male = 286 (23.5%)) were conveniently selected from four universities (two public and two private) to represent the study sample. (3) Results: Results found that 40.39% of university students had severe psychological BO levels, although most of them had acceptable PR (92.74%) and hardiness (83.7%) levels. Unmarried students at public universities, medical schools, and fourth-year students or beyond showed higher levels of psychological BO than any other category. A negative correlation (p < 0.05) was observed among psychological BO and both perceived PR and hardiness variables. Additionally, a positive correlation was found between perceived PR and psychological hardiness. Significant contributions of hardiness, university type, and academic year to BO were detected, with a variance of 29.7%. (4) Conclusions: Academic teachers and policymakers should tackle this problem among university students to help alleviate the different sources of stressors in university life. Full article

This study presents an integrated approach combining the Hardy Cross method and a gradient boosting (GB) optimization model to enhance ventilation systems in underground mines, with a specific application at the Jabal Sayid mine in Saudi Arabia. The Hardy Cross method addresses variations in airflow resistance caused by obstacles within ventilation pathways, enabling accurate predictions of the flow distribution across the network. The GB model complements this by optimizing fan placement, pressure control, and airflow intensity to achieve reduced energy consumption and improved efficiency. The results demonstrate significant improvements in fan efficiency, optimized energy usage, and enhanced ventilation effectiveness, achieving a 31.24% reduction in electricity consumption. This study bridges deterministic and machine learning methodologies, offering a novel framework for the real-time optimization of underground mine ventilation systems. By combining the Hardy Cross method with GB, the proposed approach outperforms traditional techniques in predicting and optimizing airflow distribution under dynamic conditions. Full article

In ventilation systems of metal mines, the real-time measurement of the airflow field and a reduction in pollutants are necessary for clean environmental management and human health. However, the limited quantitative data and expensive detection technology hinder the accurate assessment of mine ventilation effectiveness and safety status. Therefore, we propose a new method for constructing a mine intelligent ventilation system with a global scheme, which can realize the intelligent prediction of unknown points in the mine ventilation system by measuring the airflow parameters of multiple known points. Firstly, the nodal wind pressure method combined with the Hardy–Cross iterative algorithm is used to solve the mine ventilation network, and the airflow parameters under normal operation and extreme working conditions are simulated, based on which an intelligent ventilation training database is established. Secondly, we compared the airflow parameter prediction ability of three different machine learning models with different neural network models based on the collected small-sample airflow field dataset of a mine roadway. Finally, the depth learning method is optimized to build the intelligent algorithm model of the mine ventilation system, and a large number of three-dimensional simulation data and field measurement data of the mine ventilation system are used to train the model repeatedly to realize the intelligent perception of air flow parameters of a metal mine ventilation network and the construction of an intelligent ventilation system. The results show that the maximum error of a single airflow measurement point is 1.24%, the maximum overall error is 3.25%, and the overall average error is 0.51%. The intelligent algorithm has a good model training effect and high precision and can meet the requirements of the research and application of this project. Through case analysis, this method can predict the airflow parameters of any position underground and realize the real-time control of mine safety. Full article

Background and objectives: Pre-eclampsia (PE) is a pregnancy-specific condition characterized by significant health risks for pregnant women worldwide due to its status as a multi-organ disorder. High blood pressure (hypertension) with or without proteinuria is usually considered an initial clinical sign of PE. The pathogenesis of pre-eclampsia is highly complex and likely involves multiple factors, including poorly developed uterine spiral arterioles, immunological issues, placental ischemia or infarction, and genetic abnormalities. Inflammatory cytokine production, regulated by cytokine gene polymorphisms, is one of the factors likely contributing to the development of PE. The present study aimed to assess IL-6, IL-1β, and Apo B-100 gene polymorphism and to evaluate the association of these polymorphisms with PE. Materials and Methods: This cross-sectional observational study involved 99 participants aged 16 to 45 years from Bahawal Victoria Hospital Bahawalpur, Punjab, Pakistan. The participants were divided into three groups: Group 1 (PE with severe hypertension), Group 2 (PE with hypertension), and Group 3 (control), each comprising 33 individuals. Maternal blood samples were collected, DNA was extracted, and molecular genetic analysis of the IL-6, IL-1β, and Apo B-100 genes was performed using the PCR-RFLP method. Allelic frequencies were compared, and statistical analysis was conducted using SPSS 25, applying the Hardy–Weinberg equation and chi-square test to evaluate the results. Results: There are differences in the distribution of allelic frequencies for IL-6 -174G/C (CC, GC, GG), IL-1β-511C/T (CC, CT, TT), and Apo B-100 2488 C/T (CC, CT, TT) between pre-eclamptic patients and the control group. The analysis using the Hardy–Weinberg equilibrium and chi-square test showed an association between the IL-6-174 G/C polymorphism and the severity of pre-eclampsia. Conclusions: The polymorphisms of the IL-6, IL-1β, and Apo B-100 genes revealed different alleles. The IL-6 gene alone was found to be in disequilibrium according to the Hardy–Weinberg equation, indicating a potential link to the severity of pre-eclampsia in the population studied. Full article

Background: Hypertension, characterized by elevated pressure, poses a significant health risk. Recent studies in Jordan highlight high hypertension rates, emphasizing the need for genetic investigations to comprehend essential hypertension determinants. The AGT gene, part of the Renin Angiotensin System, is linked to blood pressure regulation. Limited information exists on the frequency of this polymorphism among Jordanian hypertensive patients. Aims: This study explores the association between the AGT M235T polymorphism and essential hypertension in Jordan. Methods: A cross-sectional study with 435 participants (199 hypertensive, 236 non-hypertensive) was conducted at the University of Jordan Hospital. Blood pressure was measured, and genetic analysis of the AGT M235T polymorphism was completed using the PCR-RFLP technique. Chi-square and t-tests were used for comparisons using SPSS software. Results: Hypertensive patients exhibited significantly higher weight, BMI, and blood pressure. Genotyping results showed no significant difference (p > 0.05, Chi-square) in AGT M235T polymorphism distribution between control and patient groups. In addition, allele frequencies showed comparable patterns (p > 0.05, Chi-square). All genotype frequencies showed no deviation from the Hardy–Weinberg equation (p > 0.05, Chi-square). Conclusions: The AGT M235T genetic polymorphism is not more prevalent among hypertensive patients in Jordan, although the average weight and BMI among hypertensive patients is higher than the non-hypertensive participants. Obesity can be addressed as a potential risk factor for essential hypertension in Jordan. In addition, it is recommended to find out the influence of the AGT M235T genetic polymorphism on the response of antihypertensive drugs among hypertensive patients in Jordan. Full article

Background: There is a lack of specific genetic studies regarding injuries in women’s football. However, different genetic factors have been associated with tendon/ligament injuries in women football players. The aim of the study was to examine the genotypic frequencies of genes associated with injury risk and epidemiology in women’s amateur football players and the aetiology of injuries. Methods: In total, 168 women’s amateur football players from football clubs in the Spanish second division league and Caucasian descent were enrolled in this prospective observational cross-sectional study. AMPD1 (rs17602729), ACE (rs4646994), ACTN3 (rs1815739), CKM (rs8111989) and MLCK (rs2849757 and rs2700352) polymorphisms were genotyped. The characteristics of 169 non-contact injuries during the 2022/2023 season were classified following the International Olympic Committee (IOC) Consensus Statement for reporting injuries as follows: musculoskeletal, tendon/ligament, injury setting; and severity. The disequilibria of polymorphisms were estimated using the Hardy–Weinberg Equilibrium (HWE). The characteristics of the injuries were recorded, and the genotype characteristics were analysed. The genotype frequencies of all polymorphisms were compared between non-injured and injured football players and injury aetiologies. Results: The AMPD1 genotype distribution differed between tendon/ligament injured and non-injured (p = 0.003) with a higher frequency in the TT genotype and T allele. The genotype distribution was different for the CKM and MLCK c.37885C>A polymorphisms in training and match injuries (p = 0.038 and p = 0.031, respectively). In the ACTN3 and AMPD1 polymorphisms, the distribution of the TT genotype in both genes showed a higher frequency in severe injuries (all p < 0.001). Conclusions: Tendon/ligament injury epidemiology in women’s amateur football players was associated especially with the TT genotype of the AMPD1 gene. The TT genotype of the AMPD1 and ACTN3 genes was also associated with severity, and the CKM and MLCK polymorphisms were associated with injury settings. Full article

Closed-loop pipe systems allow the possibility of the flow of gas from both directions across each route, ensuring supply continuity in the event of a failure at one point, but their main shortcoming is in the necessity to model them using iterative methods. Two iterative methods of determining the optimal pipe diameter in a gas distribution network with closed loops are described in this paper, offering the advantage of maintaining the gas velocity within specified technical limits, even during peak demand. They are based on the following: (1) a modified Hardy Cross method with the correction of the diameter in each iteration and (2) the node-loop method, which provides a new diameter directly in each iteration. The calculation of the optimal pipe diameter in such gas distribution networks relies on ensuring mass continuity at nodes, following the first Kirchhoff law, and concluding when the pressure drops in all the closed paths are algebraically balanced, adhering to the second Kirchhoff law for energy equilibrium. The presented optimisation is based on principles developed by Hardy Cross in the 1930s for the moment distribution analysis of statically indeterminate structures. The results are for steady-state conditions and for the highest possible estimated demand of gas, while the distributed gas is treated as a noncompressible fluid due to the relatively small drop in pressure in a typical network of pipes. There is no unique solution; instead, an infinite number of potential outcomes exist, alongside infinite combinations of pipe diameters for a given fixed flow pattern that can satisfy the first and second Kirchhoff laws in the given topology of the particular network at hand. Full article

The possibility of positive psychological changes after cancer, namely, posttraumatic growth, is a growing field of research. Identifying personality traits and coping strategies related to posttraumatic growth may help find vulnerable individuals as well as promote helpful coping strategies to help more patients make positive changes at an early stage. The aim of this systematic literature review is to provide an overview of the quantitative data on coping strategies and personality traits associated with posttraumatic growth in patients with cancer and cancer survivors as well as the methods used in included studies. A systematic literature search was conducted using five databases (PubMed, PubPsych, PsycInfo, Web of Science, and PSYNDEXplus). The 70 reports of included studies assessed posttraumatic growth using questionnaires in a sample of patients with cancer or survivors. In addition, associations with a personality trait or coping strategy had to be examined cross-sectionally or longitudinally. All 1698 articles were screened for titles and abstracts by two authors, after which disputed articles were reviewed by a third author. Afterwards, articles were screened for full texts. Most studies had a cross-sectional design and used a sample of patients with breast cancer. Coping strategies have been researched more than personality factors. The personality traits of resilience, hardiness, dispositional positive affectivity, and dispositional gratitude seem to be related to posttraumatic growth, while the Big Five personality traits (openness to experience, conscientiousness, extraversion, agreeableness, neuroticism) have been less researched and/or seem to be unrelated. The use of social support, religious coping, positive reframing, and reflection during illness as coping strategies seems to be related to posttraumatic growth. The findings can be used for the development of interventions. Future studies should investigate associations longitudinally. Full article

In this paper, according to the analysis of optimum circuits, we present an efficient ventilation network solution based on minimum independent closed loops. Our main contribution is optimizing the circuit dividing strategy to improve the iteration convergence and the efficiency of a single iteration. In contrast to a traditional circuit, a minimum closed loop may contain one or more co-tree branches but fewer high-resistance branches and fan branches. It is helpful in solving the problem of divergence or slow convergence for complex ventilation networks. Moreover, we analyze the dividing rules of closed loops and improve the dividing algorithm of minimum independent closed loops. Compared with the traditional Hardy Cross iteration method, the improved solution method has better iteration convergence and computation efficiency. The experimental results of real-world mine ventilation networks show that the improved solution method converges rapidly within a small number of iterations. We also investigate the influence of network complexity, iterative precision, and initial airflow on the iteration convergence. Full article

Hardy Cross originally proposed a method for analysis of flow in networks of conduits or conductors in 1936. His method was the first really useful engineering method in the field of pipe network calculation. Only electrical analogs of hydraulic networks were used before the Hardy Cross method. A problem with flow resistance versus electrical resistance makes these electrical analog methods obsolete. The method by Hardy Cross is taught extensively at faculties, and it remains an important tool for the analysis of looped pipe systems. Engineers today mostly use a modified Hardy Cross method that considers the whole looped network of pipes simultaneously (use of these methods without computers is practically impossible). A method from a Russian practice published during the 1930s, which is similar to the Hardy Cross method, is described, too. Some notes from the work of Hardy Cross are also presented. Finally, an improved version of the Hardy Cross method, which significantly reduces the number of iterations, is presented and discussed. We also tested multi-point iterative methods, which can be used as a substitution for the Newton–Raphson approach used by Hardy Cross, but in this case this approach did not reduce the number of iterations. Although many new models have been developed since the time of Hardy Cross, the main purpose of this paper is to illustrate the very beginning of modeling of gas and water pipe networks and ventilation systems. As a novelty, a new multi-point iterative solver is introduced and compared with the standard Newton–Raphson iterative method. Full article