Search Results (2,968)

Biofouling by mussels is responsible for serious economic losses worldwide. In Argentina, Limnoperna fortunei (Dunker, 1857) and Brachidontes rodriguezii (d’Orbigny, 1842) are common and abundant bivalve species of great interest, inhabiting freshwater and marine coasts, respectively. Both species are considered fouling pests for coastal industrial facilities that use untreated water as part of their processes. To chemically control mussel biofouling, it is necessary to find efficient and environmentally friendly non-biocidal compounds. In this work, we report the antifouling activity of three phenolic compounds (hydroquinone, resorcinol, and catechol) and their respective acetylated derivatives against L. fortunei and B. rodriguezii mussels. Classic ecotoxicity tests with Artemia salina were also performed. Acetylated phenolic compounds were synthesized in the laboratory by sustainable chemistry procedures. Results revealed the importance of hydroquinone, resorcinol, and catechol and their diacetylated derivatives for preventing the settlement of both these mussels, in a non-biocide way. Ecotoxicity bioassays revealed that these compounds were not toxic, with the exception of resorcinol. We propose the incorporation of these compounds in solution into closed circuits and water sprinkler anti-fire systems to prevent the settlement of L. fortunei and their inclusion in antifouling paints to prevent the settlement of B. rodriguezii. These results highlight a new friendly alternative for controlling mussels. Full article

Background/Objectives: Pelvic organ prolapse (POP) is a common condition that increases with age and affects up to 40% of women. Colpocleisis is a possible native-tissue repair used in elderly persons not interested in vaginally penetrative sex to correct advanced POP. This study aims to evaluate the recurrence and reoperation rate of a technique using purse-string sutures in a standardised way. Methods: This retrospective quality control study evaluated all women who underwent obliterative procedures for POP at the Department of Obstetrics and Gynaecology at the University Hospital of Bern from 2014 to 2023. Total Colpocleisis (TC) and Le-Fort Colpocleisis (LFC) were performed by a standardised technical procedure using purse-string sutures. The primary outcome was the recurrence rate measured by the POP-Q stage (stage 2 or higher). Reoperation rate, perioperative complications, bladder outlet disorders and incontinence symptoms were assessed as secondary outcomes. Results: We analysed eighty-eight patients who underwent obliterative surgery with TC or LFC in this study. The recurrence rate for all patients was 16%, and the reoperation rate was 9.2%. In patients without previous surgeries (52%), the recurrence rate was 7%. Thirteen patients (14.8%) had perioperative complications, mainly urinary tract infections (seven patients, 8%). Objective POP improved significantly (p < 0.001), as did the bladder voiding dysfunction in the rate of high postvoid residual volume (p < 0.05), stress urinary incontinence, overactive bladder and mixed urinary incontinence (p < 0.001). In three patients, de novo stress urinary incontinence developed postoperatively. Conclusions: Colpocleisis by the purse-string technique is an effective surgical treatment for advanced POP surgery. Recurrence and reoperation rates are similar to the previously mentioned techniques and are easy to learn due to the standardised procedure. Full article

In parallel with technical training on knowledge and skills of task-specific medical or surgical procedures, wide arrays of soft skills training would contribute to obstetric safety in the contemporary healthcare setting. This article, as a service evaluation, explored the effect of a specialty-based Crew Resource Management (CRM) training series that transforms the concept of human factors into sustainable measures in fostering clinical safety culture of the Department of Obstetrics and Gynaecology (O&G) in the Queen Elizabeth Hospital. Within the last decade, a tri-phasic programme has been implemented by an inter-professional workgroup which consists of a consultant anaesthesiologist, medical specialists and departmental operations manager from O&G, a nurse simulation specialist, hospital administrators, and a research psychologist. (1) Phase I identified different patterns of attitudinal changes (in assertiveness, communication, leadership, and situational awareness, also known as “ACLS”) between doctors and nurses and between generic and specialty-based sessions for curriculum planning. (2) Phase II evaluated how these specific behaviours changed over 3 months following CRM training tailored for frontline professionals in O&G. (3) Phase III examined the coping style in conflict management and the level of sustainability in self-efficacy over 3 months following specialty-based CRM training. The findings showed the positive impacts of O&G CRM training on healthcare professionals’ increased attitude and behaviour in “ACLS” by 22.7% at a p < 0.05 level, character strengths in conflict management, and non-inferior or sustained level of self-efficacy under tough conditions in the clinical setting up to 3 months after training. As a way forward, incorporating a scenario-based O&G CRM programme into existing skills-based training is expected to change service framework with an innovative approach. In addition, exploring actual clinical outcomes representing a higher level of organisational impacts can be a strategic direction for further studies on the effect of this practical and educational approach on obstetric safety culture. Full article

The technology of surface acoustic wave-based (SAW) sensors greatly depends on the performance of the resulting sensing layer. To ensure real applications, the sensors must be produced with reproducibility, as well as the statistical consistency of analytical sensor response results must be assured. In this work, we investigated the reproducibility and the statistical performance of the coating procedure used in previous works for the development of new polymeric coating materials, and the statistics of the respective sensor responses were analyzed. The polylaurylmethacrilate (PLMA) is used as an example of polymeric coating material. Two series of sensors coated with distinct quantities of the polymer were produced and analyzed. The statistical analysis of the ultrasonic parameters of the sensor production presented very low variability for both series of sensors. The respective sensor responses, obtained with a set of analytes with distinct chemical functions, presented, in the same way, excellent reproducibility for both series of sensors. The very good reproducibility and statistical robustness of the sensor production data and of the respective sensor responses confirm the reliability of the methodology to produce sensors for the SAW technology. Full article

This article presents a novel approach to looking at steady-state thermoelastic boundary value problems in isotropic elastic plates with curvilinear holes using a complex variable approach and rational conformal mappings. The physical domain with a non-circular opening is mapped conformally to the unit disk. A thermoelastic potential combines the temperature distribution, which is determined by the Laplace equation with Neumann boundary conditions. Gaursat functions, which are shown as truncated power series, show the complicated stress and displacement fields. They are found by putting boundary constraints at certain collocation points. This procedure presents us with a linear system that can be solved using the least squares method. The method is applied in an annular shape that is exposed to a radial temperature gradient. This experiment shows how changes at the boundary affect the distribution of stress. According to numerical simulations, stress distributions are more uniform when boundaries are smoother, but stress concentrations increase with the size of geometric disturbances. The suggested approach remarkably captures the way geometry and thermal effects interact in two-dimensional thermoelasticity. It is a reliable tool for researching intricate, heated elastic domains. Full article

Objectives: This study aimed to evaluate the reproducibility of artificial intelligence (AI) in identifying cephalometric landmarks, comparing its performance with manual tracing by an experienced orthodontist. Methods: A high-quality lateral cephalogram of a 26-year-old female patient, meeting strict inclusion criteria, was selected. Eighteen cephalometric landmarks were identified using the WebCeph software (version 1500) in three experimental settings: AI tracing without image modification (AInocut), AI tracing with image modification (AI-cut), and manual tracing by an orthodontic expert. Each evaluator repeated the procedure 10 times on the same image. X and Y coordinates were recorded, and reproducibility was assessed using the coefficient of variation (CV) and centroid distance analysis. Statistical comparisons were performed using one-way ANOVA and Bonferroni post hoc tests, with significance set at p < 0.05. Results: AInocut achieved the highest reproducibility, showing the lowest mean CV values. Both AI methods demonstrated greater consistency than manual tracing, particularly for landmarks such as Menton (Me) and Pogonion (Pog). Gonion (Go) showed the highest variability across all groups. Significant differences were found for the Posterior Nasal Spine (PNS) point (p = 0.001), where AI outperformed manual tracing. Variability was generally higher along the X-axis than the Y-axis. Conclusions: AI demonstrated superior reproducibility in cephalometric landmark identification compared to manual tracing by an experienced operator. While certain points showed high consistency, others—particularly PNS and Go—remained challenging. These findings support AI as a reliable adjunct in digital cephalometry, although the use of a single radiograph limits generalizability. Broader, multi-image studies are needed to confirm clinical applicability. Full article

The growing need for safe, cheap and sustainable earthquake-resistant buildings means that efficient methods for optimal seismic design must be found. The complexity and nonlinearity of the problem can be addressed using advanced automated techniques. This paper presents an intelligent three-step procedure for optimally designing earthquake-resistant buildings based on the training (1st step) and successive inversion (2nd step) of Multi-Layer Perceptron Neural Networks. This involves solving the inverse problem of determining the optimal design parameters that meet pre-assigned, code-based performance targets, by means of a gradient-based optimization algorithm (3rd step). The effectiveness of the procedure was tested using an archetypal multistory, moment-resisting, concentrically braced steel frame with active tension diagonal bracing. The input dataset was obtained by varying four design parameters. The output dataset resulted from performance variables obtained through non-linear dynamic analyses carried out under three earthquakes consistent with the Chilean code spectrum, for all cases considered. Three spectrum-consistent records are sufficient for code-based seismic design, while each seismic excitation provides a wealth of information about the behavior of the structure, highlighting potential issues. For optimization purposes, only information relevant to critical sections was used as a performance indicator. Thus, the dataset for training consisted of pairs of design parameter sets and their corresponding performance indicator sets. A dedicated MLP was trained for each of the outputs over the entire dataset, which greatly reduced the total complexity of the problem without compromising the effectiveness of the solution. Due to the comparatively low number of cases considered, the leave-one-out method was adopted, which made the validation process more rigorous than usual since each case acted once as a validation set. The trained network was then inverted to find the input design search domain, where a cost-effective gradient-based algorithm determined the optimal design parameters. The feasibility of the solution was tested through numerical analyses, which proved the effectiveness of the proposed artificial intelligence-aided optimal seismic design procedure. Although the proposed methodology was tested on an archetypal building, the significance of the results highlights the effectiveness of the three-step procedure in solving complex optimization problems. This paves the way for its use in the design optimization of different kinds of earthquake-resistant buildings. Full article

One of the key challenges for city authorities is to ensure an adequate quality of life for residents while promoting sustainable urban development. Achieving this balance is closely related to transport management which strongly affects urban quality of life, energy consumption, and resource savings. The aim of this article is to propose a new approach of assessing urban transport management quality, with a view to implement urban energy and resource-saving policies. The assessment procedure is based on the Six Sigma methodology and is illustrated using the example of the city of Szczecin for three selected routes. Travel data were obtained based on actual vehicle traffic using crowdsourcing methods. The capacity processes were assessed based on the potential capacity index and the actual capacity index, which characterise deviations in urban traffic from the best way to save energy and resources. Customer specification limits were set based on surveys assessing residents’ expectations regarding car travel times on the analysed routes. The results show that the methodology proposed in the article can be successfully used to assess urban transport management and to identify areas in need of improvement for sustainable transport panning. Full article

Vinasse a byproduct of ethanol manufacturing, is a challenge for ethanol producers which possesses a high organic content that presents a considerable environmental threat. This complicates its management and treatment utilizing standard technologies like anaerobic digestion. This residue contains a substantial quantity of dead and lysed yeast cells, which can function as a protein source for livestock’s nutritional needs. The application of multi-effect evaporation enhances the characteristics of this residue by increasing protein concentration, reducing volume, and minimizing water content. This study examines the impact of the five-effect evaporation procedure on vinasse waste, focusing on its rheological properties and the concentrations of proteins, amino acids, RNA, and DNA. This study aims to assess the thermal impacts linked to the evaporation process. The findings of the one-way statistical analysis demonstrate that the five evaporation effects are relevant in the utilization of waste as feed for livestock. The substance has a viscosity of 0.933 Pa s, comprising 6.3 g/100 g of crude protein, 4.08 g/100 g of amino acids, 0.1158 g/L of DNA, and 0.1031 g/L of RNA. Full article

Robot-assisted radical prostatectomy (RARP) has become the most prevalent treatment for patients with organ-confined prostate cancer. Despite superior outcomes, suboptimal vesicourethral anastomosis (VUA) may lead to serious complications, including urinary leakage, prolonged catheterization, and extended hospitalization. A precise localization of both the surgical needle and the surrounding vesical and urethral tissues to coadapt is needed for fine-grained assessment of this task. Nonetheless, the identification of anatomical structures from endoscopic videos is difficult due to tissue distortions, changes in brightness, and instrument interferences. In this paper, we propose and compare two Deep Learning (DL) pipelines for the automatic segmentation of the mucosal layers and the suturing needle in real RARP videos by exploiting different architectures and training strategies. To train the models, we introduce a novel, annotated dataset collected from four VUA procedures. Experimental results show that the nnU-Net 2D model achieved the highest class-specific metrics, with a Dice Score of 0.663 for the mucosa class and 0.866 for the needle class, outperforming both transformer-based and baseline convolutional approaches on external validation video sequences. This work paves the way for computer-assisted tools that can objectively evaluate surgical performance during the critical phase of suturing tasks. Full article

In recent years, the science of sustainability has evolved in alignment with the United Nations’ 2030 Agenda for Sustainable Development, which aims to achieve a more just and sustainable world across various domains, including the environment, economy, society, and health and well-being. The International Olympic Committee has also established sustainability guidelines related to Olympic sports and athletes’ mental health. Additionally, the sustainability of sports training has already been explored, and the psychology of sustainability has generated a significant body of literature. This cultural and scientific movement has led to the emergence of the concept of psychological sustainability in elite sport, which can be defined as athletes’ capacity to maintain mental well-being, cognitive functioning, emotional resilience, and adaptive performance over time, particularly in response to environmental, social, training, and competitive stressors. This article revisits the existing literature to explore the connections between sustainability and elite sport psychology, resulting in the development of a model of psychological sustainability in sports training. This model aims to balance training procedures in a way that enhances athletic performance while safeguarding athletes’ mental health. Within this framework, an approach to psychological preparation for the Olympic Games is discussed, taking into account its various preparatory phases. Full article

This study is guided by the pivotal yet underexplored question, “How does the resilience developed through the motherhood experience, particularly within the mother/child relationship, translate into a mother’s approach to her relationships with followers in a professional context?” This study delves into the impact of resilience fostered through motherhood on leadership styles, especially in professional interactions with subordinates. Adopting the grounded theory methodology, we collected qualitative data through in-depth interviews with 28 female leaders, each a mother of at least one child. We followed a grounded theory analytic procedure to systematically organize data and examine the intricacies of maternal leadership and its process-oriented resilience development. Our research uncovers a three-stage resilience-strengthening process among maternal leaders. The three stages involve the emergence of challenges, followed by the development of transformative resilience, culminating in the significant impact on inclusive leadership styles and the evolution of leader–follower relationships. This study contributes to the academic discourse in three key ways. First, it offers unique insights into how the challenges and adversities inherent in motherhood can be transformative for leadership development. Second, by identifying and detailing a three-stage process of resilience development in maternal leaders, the research provides a nuanced understanding of how personal experiences influence professional leadership capabilities. Third, the study broadens the current discourse on inclusive leadership by incorporating the maternal perspective, a relatively underexplored area, particularly in the context of transformed leader/follower relationships. Full article

Background: Over the years, surgical techniques have evolved, resulting in an abundance of available procedures in the armamentarium of metabolic and bariatric surgeons, and the technology has also advanced in a similar way. Significant steps have been made in stapling technology especially, introducing artificial intelligence (AI) in optimizing this technology for better treatment outcomes. The introduction of AI in stapling technology showed a decrease in potential stapling complications not only in MBS, but also in other (surgical) specialties. Areas Covered: This review will cover the general principles of stapling in surgery, but with an emphasis on both the technical and anatomical considerations. We will also discuss the mechanisms of staplers and potential safety hazards. Finally, we will focus on how AI is integrated in stapling technology, potential pros and cons, and areas for future development of stapling technology and the integration of AI. Conclusions: In metabolic and bariatric surgery, stapling is a technical procedure that requires a comprehensive understanding of the anatomical and physiological characteristics of the target tissue. Variability in tissue thickness, vascularity, elasticity, and mechanical load, compounded by patient-specific factors and intraoperative dynamics, demands constant vigilance and adaptability from the surgeon. The integration of AI and digital technologies offers potential improvements in refining this process. By providing real-time feedback on tissue properties and supporting intraoperative decision-making, these tools can assist surgeons in optimizing staple-line integrity and minimizing complications. The ongoing combination of surgical expertise with intelligent technology may contribute to advancing precision stapling in metabolic and bariatric surgery. Full article

We review the evolution of the concept of utility in economics, addressing the conceptual and terminological fragmentation that characterises the interdisciplinary debate. This study adopts the scoping review framework to systematically analyse the main theoretical approaches, ranging from utility as preference to utility as subjective satisfaction and well-being. Particular attention is paid to procedural utility, i.e., the utility derived from the way decisions are made and interactions develop, divided into three areas: individual, linked to autonomy and self-determination; interpersonal, related to the quality of social relations; and institutional, referring to participation and recognition. The analysis is based on three aspects: (i) how different theoretical traditions have interpreted utility and well-being; (ii) what convergences and divergences emerge in the contemporary literature; (iii) and what implications these factors have for research and public policy. We highlight the complementarity between approaches and suggest extending economic reflection to dimensions that are central to the well-being of individuals and societies. The insights of this study have public policy implications, indicating that, through well-defined institutions, distributive justice, and welfare systems, taxpayers’ hedonic utility can be transformed into the chrematistic utility of beneficiaries. Full article

The work progress control is a key aspect for correcting deviations in construction, but currently is a task still carried out very manually by personnel moved to the execution place. This work proposes to digitize and automate the procedure through the combination and contrast of digital models of the actual state of the work and the theoretical planning. The models of the real situation are generated from the laser scanning executed by drones, the theoretical planning is reflected in the BIM4D models of the project, and their combination is automated with Feature Manipulation Engine (FME) visual programming routines. A web-based digital twin platform allows access to the end user of the service in an agile way. The methodology developed has been validated with its application on a residential building in the structural erection phase in Helsinki (Finland). Full article