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Knowledge, attitudes, and practices regarding urinary tract infections among women in the United Arab Emirates
Background Urinary tract infections (UTIs), which are infections of the kidneys, ureters, bladder, or urethra, are a worldwide public health concern. As compared to men, women are more prone to UTIs. There have been several studies that explore the knowledge, attitudes, and practices of women regarding UTIs in different countries, but no such study has been conducted in the UAE; therefore, we conducted this study in the UAE setting. Methods This study was conducted using an online survey created on Microsoft Forms. The minimum sample size required for our study was 385. This study was conducted after obtaining ethical approval from the Research Ethics Committee at the University of Sharjah. A personally designed questionnaire consisting of 21 items, derived from previous research was used to record data. The data was analyzed using SPSS. Results A total of 475 females were included in the study. Most respondents were aged 18–30 years (47.4%). Our study found that a majority of the participants (69.7%) correctly identified bacteria as the most common cause of UTIs. With regards to practices undertaken during UTIs, among the participants with a history of UTI episodes, 32.6% waited 24–48 hours before seeking medical attention at a hospital or clinic, while 10% did not visit a hospital at all. Distinct trends were found when comparing demographic factors with knowledge levels. Most notably, the age group of 18–30 years showed the highest percentage of high-knowledge individuals (49%) compared to other age groups (p < 0.05). Education level was significantly (p = 0.003) associated with UTI knowledge. Going to the hospital/clinic was reported by 41% with high knowledge but only by 20% of those with poor knowledge. Moreover, a higher proportion of individuals with high knowledge sought medical attention immediately within 24 hours (47%). Conclusion Most of the participants possessed adequate knowledge regarding UTIs. Higher knowledge levels were associated with more proactive and appropriate health behaviors, such as seeking medical attention promptly and drinking more water.
A scientific-article key-insight extraction system based on multi-actor of fine-tuned open-source large language models
An optimized approach for container deployment driven by a two-stage load balancing mechanism
Lightweight container technology has emerged as a fundamental component of cloud-native computing, with the deployment of containers and the balancing of loads on virtual machines representing significant challenges. This paper presents an optimization strategy for container deployment that consists of two stages: coarse-grained and fine-grained load balancing. In the initial stage, a greedy algorithm is employed for coarse-grained deployment, facilitating the distribution of container services across virtual machines in a balanced manner based on resource requests. The subsequent stage utilizes a genetic algorithm for fine-grained resource allocation, ensuring an equitable distribution of resources to each container service on a single virtual machine. This two-stage optimization enhances load balancing and resource utilization throughout the system. Empirical results indicate that this approach is more efficient and adaptable in comparison to the Grey Wolf Optimization (GWO) Algorithm, the Simulated Annealing (SA) Algorithm, and the GWO-SA Algorithm, significantly improving both resource utilization and load balancing performance on virtual machines.
Estimating hip impact velocity and acceleration from video-captured falls using a pose estimation algorithm
The development of preterm infants from low socio-economic status families: The combined effects of melatonin, autonomic nervous system maturation and psychosocial factors (ProMote): A study protocol
Preterm births constitute a major public health issue and a chronic, cross-generational condition globally. Psychological and biological factors interact in a way that women from low socio-economic status (SES) are disproportionally affected by preterm delivery and at increased risk for the development of perinatal mental health problems. Low SES constitutes one of the most evident contributors to poor neurodevelopment of preterm infants. Maternal perinatal mental health disorders have persistent effects on behavioral and physiological functioning throughout the lifespan and may even be evident across generations. The overall objective of the proposed longitudinal, multi-disciplinary and multi-method study is to compare the association of psychosocial (maternal mental health, intersubjectivity, attachment, family functioning, dyadic coping and perceived social support), and biological factors (melatonin and heart rate variability) with preterm infants’ development at 9 months (corrected age), between low and high SES families. We will collect data from preterm neonates (<37 weeks gestational age) hospitalized in the Department of Neonatology/Neonatal Intensive Care Unit of the University General Hospital of Heraklion, Greece, and their mothers. Data collection of psychosocial and biological factors will be carried out at birth, and at the corrected age of 6 and 9 months, while preterm infants’ cognitive and social development will be assessed at 9 months corrected age. The findings of this study may highlight the need for early interventions for new mothers coming from low SES in order to promote their preterm infants’ optimal early neurodevelopment and for community-evidence-based prevention efforts to restrict the cycle of health inequities and intergenerational mental disorders.
Kinetic study on the extraction of ethanimidic acid from hibiscus flowers using microwave assisted hydrodistillation
Enterprise internal audit data encryption based on blockchain technology
Internal auditing demands innovative and secure solutions in today’s business environment, with increasing competitive pressure and frequent occurrences of risky and illegal behaviours. Blockchain along with secure databases like encryption improves internal audit security through immutability and transparency. Hence integrating blockchain with homomorphic encryption and multi-factor authentication improves privacy and mitigates computational overhead. Recently, blockchain applications for internal audits in the enterprise sector are still emerging. Thus, blockchain technology in auditing provides the benefits of enhanced transparency and immutability in data processing, which can establish new solutions for internal auditing but still lacks encryption techniques. The research proposed a framework called “BlockCryptoAudit” to enhance internal audit processes through cryptographic encryption methods and blockchain technology, ensuring secure and transparent audit operations. The proposed approach integrates an additive homomorphic Paillier encryption scheme with blockchain to create a safe and tamper-resident audit trail. Utilizing homomorphic Paillier encryption, BlockCryptoAudit ensures that computations may be performed on encrypted audit data while safeguarding data privacy. The applied blockchain hyperledger component guarantees the immutability and transparency of encrypted audit records, resulting in a decentralized and tamper-resistant record. By limiting data accessibility to authorized individuals based on specified responsibilities, role-based access restrictions handled using smart contracts further strengthen security. The study protects audit data’s security and confidentiality by encrypting it and putting it on a blockchain. The study compares the proposed BlockCryptoAudit with models like B-OAP, BSE-DF, and EG-FLB regarding risk mitigation, audit quality, security overhead, and audit trail effectiveness. With little security overhead, BlockCryptoAudit beats out B-OAP, BSE-DF, and EG-FLB in terms of risk mitigation (98%) and audit quality (99%). It is an effective way to improve internal audit processes and guarantee data integrity due to its high performance.
Hybridization and diversity of the genus Vandenboschia in Korea insights from morphological, cytological, and genotype analyses
Abstract The genus Vandenboschia exhibits significant diversity, driven by complex hybridization events and varying ploidy levels in the natural habitats of Korea, leads to misidentifications that obscure its true distribution and classification. To address this issue, the present study employed morphological, cytological, and genotype analyses to clarify the taxonomical circumscription and distribution patterns of the Vandenboschia radicans complex in Korea. The V. radicans complex in the genus refers to V. radicans and its closely related species and exhibits significant morphological variation, making classification challenging. Previous molecular studies have revealed that it consists of several non-hybrid and hybrid species among them. Through the present study, comprehensive sampling from Jeju and Ulleung Islands identified five distinct taxa from the V. radicans complex: two non-hybrid species (Vandenboschia kalamocarpa and Vandenboschia nipponica), and three hybrids (Vandenboschia × stenosiphon, Vandenboschia × quelpaertensis, and Vandenboschia kalamocarpa × Vandenboschia nipponica × Vandenboschia striata). Notably, hybrids exhibited broader geographic distributions compared to non-hybrid species, which were confined to specific microhabitats. While overlapping morphological traits among the species complicate identification without genetic analysis, rhizome diameter and the width-to-length ratio of the involucre can serve as key morphological traits for distinguishing members of the Vandenboschia radicans complex in Korea. Additionally, cleaved amplified polymorphic sequence (CAPS) markers and cloning techniques were employed for species identification, particularly when morphological traits were inconclusive. These findings highlight the need to integrate genetic tools with traditional taxonomic methods to resolve complex species relationships within Vandenboschia in Korea and emphasize the importance of conservation efforts for geographically restricted and genetically distinct populations.
Studying attention to IPCC climate change maps with mobile eye-tracking
Many visualisations used in the climate communication field aim to present the scientific models of climate change to the public. However, relatively little research has been conducted on how such data are visually processed, particularly from a behavioural science perspective. This study examines trends in visual attention to climate change predictions in world maps using mobile eye-tracking while participants engage with the visualisations. Our primary aim is to assess engagement with the maps, as indicated by gaze metrics. Secondary analyses assess whether social context (as social viewing compared to solitary viewing) affects these trends, the relationship between projection types and visual attention, compare gaze metrics between scientific map and artwork viewing, and explore correlations between self-reported climate anxiety scores and attention patterns. We employed wearable, head-mounted eye-tracking to collect data in relatively naturalistic conditions, aiming to enhance ecological validity. In this research, participants engaged with ten world maps displaying near- and far-term climate projections across five data categories, adapted from the online interactive atlas provided by the International Panel on Climate Change (IPCC). To compare scientific information processing with aesthetic perception, participants also viewed two large-scale artworks. Responses to the Climate Change Anxiety Scale (CCAS) were also collected. Participants viewed the displays alone (single-viewing condition, N = 35) or together with a partner (paired-viewing condition, N = 12). Results revealed that the upper parts of the maps, particularly the continental Europe, received significant attention, suggesting a Euro-centric bias in viewing patterns. Spatial gaze patterns were similar between single and paired conditions, indicating that the visual attributes of the maps predominantly shaped attention locations. Although dwell times were comparable, the paired condition showed higher fixation counts, shorter average fixation durations, and longer scanpaths, suggesting a potentially dissociable viewing strategy and more exploratory viewing patterns influenced by social interaction. No substantial differences were observed in attention across projection timeframes or types, although individual variations were noted. Artwork viewing exhibited notably shorter average fixation durations compared to climate map viewing, potentially reflecting different visual engagement styles. Despite positive linear correlations among the four CCAS subscales, there was no apparent correlation between CCAS scores and main gaze metrics, indicating a lack of a direct relationship between self-reported anxiety and gaze behaviour. In summary, visual attention to climate change visualisations appears to be mainly influenced by the inherent visual attributes of the maps, but the social context may subtly influence visual attention. Additionally, the comparison with aesthetic viewing highlights relatively distinct attentional patterns in scientific versus aesthetic engagements.
Provenance of late Pleistocene loess in central and eastern Europe: isotopic evidence for dominant local sediment sources
AbstractLoess profiles along the Danube River provide a record of long-term Quaternary dust (loess) deposition in central-eastern Europe. Here, Sr–Nd isotopic data from four loess-palaeosol profiles (47 samples) spanning the last two-glacial-interglacial cycles are presented. The isotopic compositions generated by this study are compared with bedrock and sedimentary samples from Europe and North Africa to decipher the sources of sediment. The results demonstrate that over the last 300 ka the alluvial plains of the Danube (which are themselves sourced from surrounding mountain belts) are a local source of material and consequently sediment experiences aeolian transport over relatively short distances. The results dispute the commonly held assumption that the Sahara was a sediment contributor to loess in central-eastern Europe as North African contributions are not needed to explain loess signatures. Consequently, the findings suggest a suppressed southerly wind direction and dominance of the westerly and north-westerly wind systems over the entirety of the record.
Height development and multiple bone health indicators in children aged 2–12 years with Duchenne muscular dystrophy (DMD)
Introduction Short stature is a frequent complication of DMD, and its pathomechanisms and influencing factors are specific to this disease and the idiosyncratic treatment for DMD. Purpose To establish the height growth curve of early DMD, and evaluate the potential influencing markers on height growth, provide further evidence for pathological mechanism, height growth management and bone health in DMD. Methods A retrospective, cross-sectional study of 348 participants with DMD aged 2–12 years was conducted at West China Second Hospital of Sichuan University from January 2023 to October 2023. Results The growth curve for 2–12 years old boys with DMD indicates a slower growth rate compared to the average population. At age two, children with DMD have a similar height to their peers, but gradually falls behind afterwards. Short stature was observed in children with DMD before and after GC exposure, and prolonged GC use exacerbated the retardation. BMI (β = -0.47, p = 0.007), BMD (β = -0.005, p = 0.014), β-CTX (β = 0.001, p = 0.002), delayed BA (β = 0.417, p < .001), GC duration (β = -0.006, p = 0.047) were independent influencing factors of height. Relevant bone health markers showed different sequential changing patterns. Conclusion The high proportion and progression of short stature are associated with the broad bone health status. Different bone indicators have different sensitivities and specificities and need to be considered together for clinical monitoring of bone health. This study provides evidence for the early monitoring of height development and relevant factors as part of bone health management in DMD, to minimize the occurrence of bone-related complications later in life.
Induced seismicity and geothermal energy production in the Salton Sea Geothermal Field, California
Segmentation by recreation experiences of demand in coastal and marine destinations: A study in Galapagos, Ecuador
Tourism in coastal and marine areas offers a wide variety of recreational activities. The present study had the following objectives: (i), identify the dimensions of recreational experiences in coastal and marine destinations focused on island marine protected areas (ii) determine the demand segments for recreational experiences, and (iii) establish the relationship between the demand segments for recreational experiences and the satisfaction and loyalty. The study was conducted in the Galápagos Islands of Ecuador, and 407 valid questionnaires were collected on-site. The statistical techniques used were factor analysis and the non-hierarchical k-means clustering method. The results reveal four dimensions of the recreational experience in coastal and marine destinations focused on island marine protected areas: Ecological Observation, Experiential Learning, Experiential Reflection, and Sensory Experience. Additionally, three demand segments differentiated by recreational experiences were identified: The Estheticians, the Multi-Experience Recreationists, and the Hedonists. Among these groups, the Multi-Experience Recreationists segment was the most satisfied and exhibited higher levels of loyalty in insular protected marine areas. These findings will assist managers of protected marine areas in creating sustainable development plans and contribute to the academic literature on coastal and marine tourism.
Exploring the correlations between six serological inflammatory markers and different stages of type 2 diabetic retinopathy
Things Latinas need to plan for safety: A dual-site concept mapping study
Background Latina women in the United States experience intimate partner violence (IPV) at high rates, but evidence suggests Latinas seek help for IPV at lower rates than other communities. Safety planning is an approach that provides those experiencing IPV with concrete actions to increase their safety and referrals to formal services. While safety planning is shown to reduce future incidences of violence, little is known about the safety planning priorities of Latinas. Approach This study leveraged Group Concept Mapping, a mixed-method process consisting of brainstorming, sorting, rating, and interpreting. First, 17 Latinas who were survivors of IPV and/or professional advocates generated responses to a focal prompt. Next, 19 participants pile-sorted a list of unduplicated responses into categories. Data were analyzed using multidimensional scaling and hierarchical cluster analysis and results were iteratively refined by the study team. Forty-two Latina participants in Chicago and Miami rated each item based on its necessity for safety using two scenarios: if a survivor planned to leave a partner or remain in the relationship. Bivariate correlation analyses were used to examine differences in safety planning priorities across multiple axes. Finally, results were shared with participants for feedback and contextualization. Results Combined, a total of 46 Latinas participated in data collection activities. Brainstorming and sorting data generated seven clusters of safety planning needs. Statistically significant differences in cluster rating were found for women who intended to leave a relationship (for whom legal services was most necessary) versus those who intended to stay (for whom safety planning services were critical) and those in Chicago versus those in Miami. Conclusions This study contributes to the small, but growing, literature regarding safety planning needs of Latinas in the US and illustrates potential ways in which future safety planning interventions should be tailored to these communities.
A standardised comparison of chest and percutaneous drainage catheters to evaluate the applicability of the ‘French’ sizing units
Sustainable regional development from the perspective of economic resilience: Based on the impact of COVID-19
The process of regional economic development is marked by a sustained exposure to external disturbances. In today’s unpredictable and tumultuous global environment, such disturbances have become increasingly common, underlining the need to advance a region’s economic resilience and foster adaptive mechanisms to handle environmental flux. Comparing the typical provinces in eastern, central, western and northeastern regions during the COVID-19 epidemic period, it found that the economic resilience performance of Henan Province, which is a representative of the central region, has the following characteristics. Henan Province has the lowest total production resilience in the selected regions, but it is in the second position in terms of development potential resistance, while it is in the middle range in terms of resilience performance, and it has a weaker resistance performance in terms of the resilience indicator of the standard of living of the residents. Against this backdrop, this study undertakes an analysis and comparison of the economic resilience indicators of the 18 cities in Henan Province to suggest several refinements. It urges a promotion of the integrated development of the primary, secondary, and tertiary industries through increasing emphasis on the industrial sector, which will enable a transformation of the sectoral structuring. Further, digitization can help the upgrading of industries’ intelligence and function as a lever to raise their competitiveness. Innovation in enterprises is also crucial in enhancing industrial competitiveness, by bolstering the technological innovation capabilities of enterprises and simultaneously boosting the wage-based incomes of residents, resulting in an overall improvement in their standard of living. Also, the study emphasizes the establishment of a digital talent platform to construct a sound regional talent ecology system.
Hypothalamic atrophy in primary lateral sclerosis, assessed by convolutional neural network-based automatic segmentation
AbstractPrimary lateral sclerosis (PLS) is a motor neuron disease (MND) which mainly affects upper motor neurons. Within the MND spectrum, PLS is much more slowly progressive than amyotrophic laterals sclerosis (ALS). `Classical` ALS is characterized by catabolism and abnormal energy metabolism preceding onset of motor symptoms, and previous studies indicated that the disease progression of ALS involves hypothalamic atrophy. Very limited weight loss is observed in patients with PLS, which raises the question of whether there are also less hypothalamic alterations. The purpose of this study was to quantitatively investigate the hypothalamic volume in a group of PLS patients and to compare it with ALS and controls. Recently, we have introduced automatic hypothalamic quantification method based on the use of convolutional neural network (CNN) to reduce human variability and enhance analysis robustness. This CNN of U-Net architecture was applied for automatic segmentation of the hypothalamus and intracranial volume (ICV) to allow adjustments of the hypothalamic volume between subjects with different head sizes respectively. Automatic segmentation and volumetric analysis were performed in high resolution T1 weighted MRI volumes (acquired on a 1.5 T MRI scanner) of 46 PLS patients in comparison to 107 healthy controls and 411 `classical` ALS patients, respectively. Significant hypothalamic volume reduction was observed in PLS (818 ± 73 mm3) when compared to controls (852 ± 77 mm3); significant hypothalamic volume reduction was also confirmed in ALS (823 ± 84 mm3), in support of previous studies. No significant differences were found in normalized hypothalamic volumes between ALS patients and PLS patients at the group level. This unbiased CNN-based hypothalamus volume quantification study demonstrated similarly reduced hypothalamus volume in PLS and ALS patients, despite the clinical phenotypic differences.
Immunoinformatics design of a novel multiepitope vaccine candidate against non-typhoidal salmonellosis caused by Salmonella Kentucky using outer membrane proteins A, C, and F
The global public health risk posed by Salmonella Kentucky (S. Kentucky) is rising, particularly due to the dissemination of antimicrobial resistance genes in human and animal populations. This serovar, widespread in Africa, has emerged as a notable cause of non-typhoidal gastroenteritis in humans. In this study, we used a bioinformatics approach to develop a peptide-based vaccine targeting epitopes from the outer membrane proteins A, C, and F of S. Kentucky. Additionally, we employed flagellin protein (fliC) from Salmonella Typhimurium (S. Typhimurium) as an adjuvant to enhance the vaccine’s effectiveness. Through this approach, we identified 14 CD8+ and 7 CD4+ T-cell epitopes, which are predicted to be restricted by various MHC class I and MHC class II alleles. The predicted epitopes are expected to achieve a population coverage of 94.91% when used in vaccine formulations. Furthermore, we identified seven highly immunogenic linear B-cell epitopes and three conformational B-cell epitopes. These T-cell and B-cell epitopes were then linked using appropriate linkers to create a multi-epitope vaccine (MEV). To boost the immunogenicity of the peptide construct, fliC from S. Typhimurium was included at the N-terminal. The resulting MEV construct demonstrated high structural quality and favorable physicochemical properties. Molecular docking studies with Toll-like receptors 1, 2, 4, and 5, followed by molecular dynamic simulations, suggested that the vaccine-receptor complexes are energetically feasible, stable, and robust. Immune simulation results showed that the MEV elicited significant responses, including IgG, IgM, CD8+ T-cells, CD4+ T-cells, and various cytokines (IFN-γ, TGF-β, IL-2, IL-10, and IL-12), along with a noticeable reduction in antigen levels. Despite these promising in-silico findings, further validation through preclinical and clinical trials is required to confirm the vaccine’s efficacy and safety.