Search Results (46)

In this study, we present an extension of the Takagi–Sugeno fuzzy inference system (TS-FIS) framework based on prototypical fuzzy similarity (PFS) for defect detection in concrete. The key novelty lies in integrating the PFS mechanism into the TS-FIS+ANFIS architecture, thus enabling a hybrid rule–activation mechanism, bringing together fuzzy interpretability with data-driven similarity learning. To describe the ultrasonic concrete defect scenario, a high-fidelity finite element method (FEM) model that combines solid mechanics with fluid acoustics has been developed. From this numerical model, a synthetic dataset of about 36.8 million samples has been generated. The performance of the proposed TS-FIS+ANFIS+PFS classification system has been compared with that of a conventional FIS+ANFIS model, its particle-swarm-optimized (PSO) version and a Decision Tree (DT) classifier. The proposed model achieved the best performance, with a classification accuracy of 85.4% and an inference time of approximately 0.2 ms per sample. In contrast, the conventional, the PSO and the DT classifiers yielded accuracies of 60.5%, 62.0%, and 76.0%, respectively. These results confirm that PFS improves sensitivity and alleviates the computational effort, representing a potential candidate toward the realization of a defect abacus for concrete, an atlas conceived as a systematic collection of defect configurations associated with specific ultrasonic responses. Full article

The rapid digitalization of healthcare has led to the widespread availability of mobile health (mHealth) applications, including those aimed at mental health and well-being. The present study followed the PRISMA guidelines and systematically reviewed English and/or German mental health apps available in the Google Play Store to evaluate their functional quality and behavior-change potential. It utilized the Mobile App Rating Scale (MARS) to assess app quality, including engagement, functionality, esthetics, and information quality, and the App Behavior Change Scale (ABACUS) to evaluate the potential for behavior change by inclusion of behavior change techniques (BCTs). A total of 77 apps were reviewed, with findings indicating an average functional quality and moderate behavior-change potential, as the reviewed apps only utilized a limited amount of BCTs. Notably, only a small fraction of apps had been evaluated in randomized controlled trials (RCTs). Further analysis showed that MARS and ABACUS scores had limited predictive power regarding app popularity as measured by stars awarded by users and number of user ratings in the Google Play Store. The study highlights the need for more rigorous testing of mHealth apps and suggests that factors beyond those measured by MARS and ABACUS may influence app popularity. In addition to the scientific value, this review provides insights for both users interested in mental health support via apps and developers aiming to enhance the quality and impact of mental health applications. Full article

Urban sustainability has become a central theme in contemporary city planning and policy-making, reflecting the growing need to address complex environmental, social, and economic challenges. However, the range of metrics used to measure sustainability often results in fragmentation and inconsistency, limiting their practical application. The present study aims to analyze and systematize the urban sustainability indicators most commonly found in the literature and employed at the international level. The research seeks to develop a comprehensive framework of economic, environmental, and social indicators, providing a more coherent and standardized tool to support informed and effective urban regeneration strategies. In particular, in this work a critical examination of the indicators is carried out, highlighting the inherent limitations, potential distortions, and the standardizability level. To ensure more reliable and transparent measurement tools, the outcome of the analysis is the definition of a structured abacus of key urban sustainability indicators, classified across three main domains (economic, environmental, and social), able to orient the choices processes to promote sustainable cities development. Overall, a total of 85 indicators have been identified (27 economic, 36 environmental, 22 social), of which 47 show a high degree of standardization, 37 a moderate level, and only 1 a low level. The majority of the selected indicators are fully operational at the city scale, strengthening their applicability in supporting local governance and urban transformation processes. Full article

In the newly developed hybrid prefabricated RC-steel structure (SS) foundation pit bracing system, the main braces are the main load-carrying components, which are assembled from standardized prefabricated reinforced concrete beam segments (referred to as beam segments). To facilitate assembly, beam segments are equipped with beam sleeves and beam-end connection holes. The holes at the end of the beam can cause stress concentration problems, while the beam sleeve has a reinforcing effect on the end of the beam segment. To investigate the influence of beam-end holes and beam sleeves on the compressive mechanical properties of beam segments, a numerical simulation study was conducted. Taking the beam segment (specification: 4500 mm × 700 mm × 800 mm) used in a certain foundation pit support project as the research object (i.e., specimen), Abacus software was first used to build parameterized models of beam segments with holes and beam sleeves using the concrete damaged plasticity model (CDP) and the steel double-line strengthening model. Then the influence of three factors, namely end face friction coefficient, beam-end holes diameter, and beam sleeve thickness, on the axial compression performance of the beam segment specimens was studied. The results indicated that the axial compressive capacity of specimens without a beam sleeve decreased with increasing hole diameter; the axial compressive bearing capacities of specimens with hole diameters of 35 mm, 40 mm, and 45 mm were 13,300 kN, 12,500 kN, and 12,300 kN, respectively, which are 11.3%, 16.7%, and 18% lower than the compressive bearing capacity of specimens without holes (15,000 kN). When both a beam sleeve and holes were present, the holes had a negligible influence on the compressive capacity, while the beam sleeve played a decisive role. The compressive bearing capacity increased with greater beam sleeve thickness; the peak bearing capacities of the specimens with beam sleeves 5 mm, 10 mm, and 15 mm thick were 16,200 kN, 16,500 kN, and 17,600 kN, respectively. As the end face friction coefficient decreased from 0.6 to 0.1, the location of maximum compressive damage shifted toward the end face of the beam segment, and the area of maximum concrete damage gradually migrated toward the hole locations. The study demonstrates that the confinement effect of the beam sleeve can compensate for the weakening effect caused by the holes and confirms that the designs of holes in beam segment ends and in the beam sleeve can meet safety requirements. Full article

Aggregate masonry buildings in historic urban centers constitute tangible testimony of collective identity and historical continuity. They encompass both simple terraced configurations and more intricate clusters, which are inherently vulnerable to earthquake-induced damage, due to their typological features and the transformations that occurred in the course of time. Strategies aimed at the protection and valorization of such typical architectural heritage should be based on the recognition of their peculiarities, so that the intangible values embedded within the historic fabric can be preserved. A simplified approach able to identify the effect of facade layout on the vulnerability of terraced buildings was validated on a historical center struck by the Central Italy earthquake. It is based on the evaluation of vulnerability factors derived by the application of a multi-level procedure on a large scale, which integrates data on typological and structural aspects, as well as on the condition state and previous interventions. In the center in question, the evidence of prevalent shear damage in the continuous frontage of the buildings facing the main street suggested the in-depth analysis of the facade’s characteristics, and its relationship with the main direction of the seismic swarm. Starting from a preliminary abacus of twelve vulnerability factors, 16 archetypes of facades at increasing vulnerability defined by a combination of the most significant geometrical features of building aggregates were identified. These virtual models encompass typical features that can be found in similar buildings in different contexts, thus enabling preventive actions based on parametric assessment. Full article

Background: Muscle-invasive bladder cancer (MIBC) is associated with high recurrence and mortality rates. While cisplatin-based neoadjuvant chemotherapy followed by radical cystectomy remains the standard of care, many patients are ineligible for cisplatin. Recent advances in immunotherapy and biomarker research are reshaping perioperative strategies, aiming to personalize treatment and improve outcomes. Methods: We conducted a comprehensive narrative review of the recent literature and clinical trials on the perioperative treatment of MIBC. We focused on published phase II and III trials assessing neoadjuvant and adjuvant strategies, including immunotherapy, antibody-drug conjugates (ADCs), combination regimens, and circulating tumor DNA (ctDNA)-based approaches. Results: Numerous trials (e.g., PURE-01, ABACUS, NABUCCO, AURA, NIAGARA) have demonstrated the feasibility and efficacy of immune checkpoint inhibitors (ICIs) in both cisplatin-eligible and -ineligible populations. Combination strategies, including ICIs plus chemotherapy or ADCs, have shown promising pathological complete response rates and event-free survival. In the adjuvant setting, nivolumab improved disease-free survival and received regulatory approval. Biomarkers such as PD-L1 and ctDNA are emerging tools for predicting treatment response and recurrence risk, although prospective validation is ongoing. Conclusions: The treatment paradigm for MIBC is shifting toward multimodal and biomarker-driven approaches. Integration of ICIs into perioperative management, especially in combination with chemotherapy or ADCs, may enhance outcomes. ctDNA shows potential as a predictive and prognostic biomarker, guiding therapeutic decisions and surveillance. Future research should focus on refining patient selection, optimizing treatment sequencing, and validating ctDNA-guided strategies to personalize care while minimizing overtreatment. Full article

The Engel algorithm was created to solve chip-firing games and can be used to find the stationary distribution for absorbing Markov chains. Kaushal et al. developed a matlab-based version of the generalized Engel algorithm based on Engel’s probabilistic abacus theory. This paper introduces a modified version of the generalized Engel algorithm, which we call the modified Engel algorithm, or the mEngel algorithm for short. This modified version is designed to address issues related to non-absorbing Markov chains. It achieves this by breaking down the transition matrix into two distinct matrices, where each entry in the transition matrix is calculated from the ratio of the numerator and denominator matrices. In a nested iteration setting, these matrices play a crucial role in converting non-absorbing Markov chains into absorbing ones and then back again, thereby providing an approximation of the solutions of non-absorbing Markov chains until the distribution of a Markov chain converges to a stationary distribution. Our results show that the numerical outcomes of the mEngel algorithm align with those obtained from the power method and the canonical decomposition of absorbing Markov chains. We provide an example, Torrence’s problem, to illustrate the application of absorbing probabilities. Furthermore, our proposed algorithm analyzes the Monopoly transition matrix as a form of non-absorbing probabilities based on the rules of the Monopoly game, a complete information dynamic game, particularly the probability of landing on the Jail square, which is determined by the order of the product of the movement, Jail, Chance, and Community Chest matrices. The Long Jail strategy, the Short Jail strategy, and the strategy for getting out of Jail by rolling consecutive doubles three times have been formulated and tested. In addition, choosing which color group to buy is also an important strategy. By comparing the probability distribution of each strategy and the profit return for each property and color group of properties, and the color group property, we find which one should be used when playing Monopoly. In conclusion, the mEngel algorithm, implemented using R codes, offers an alternative approach to solving the Monopoly game and demonstrates practical value. Full article

Background: During early childhood, physical development plays a critical role in overall growth, influencing not only health but also academic and social outcomes. In this context, the present randomized controlled trial aims to analyze the effects of a combined intervention using physical exercise and abacus training on flexibility and motor coordination in early primary school children. Methods: A total of 82 girls and boys participated in this study, of which 41 belonged to the experimental group that carried out a combined training of physical exercise and the use of an abacus for 12 weeks and 41 to a control group that did not receive any intervention. Flexibility was measured with the Sit and Reach test and motor coordination with the motor coordination test. Results: In this study, statistically significant improvements were observed in flexibility in both the right and left legs and in all domains related to motor coordination in the training group. Conclusions: The results of this study support the effectiveness of a multidimensional approach that integrates physical and cognitive activities, such as the use of the abacus, to improve coordination and flexibility in children, contributing to comprehensive development in early childhood education. Full article

Cognitive stimulation during the first years of school is key to the comprehensive development of children, as it impacts functions such as attention, memory, and intelligence, and contributes to their academic performance and social adaptation. The present study aims to evaluate how the use of the abacus and physical exercise improve cognitive skills in children in the second year of primary school. This study is a randomized clinical trial with a total of 82 children, of which 58.50% were boys and 41.50% girls in the first cycle of primary education, divided into an experimental group that carried out a combined program of training with abacus and physical exercise and a control group. Selective attention and concentration were measured with the D2 test, memory with the Spanish adaptation of the Reynolds Intelligence Scale, differential perception with the Differential Perception Test (CARA-R), and general intelligence with the Raven Progressive Matrices Test. The intervention showed statistically significant improvements in attention (Cohen’s d = 0.55), concentration (Cohen’s d = 0.04), memory (Cohen’s d = 0.53), differential perception (Cohen’s d = 0.77), impulsivity control (Cohen’s d = 0.90), and general intelligence (Cohen’s d = 0.43) within the experimental group, as well as significant differences between the training and control groups in post-intervention assessments. The combination of physical exercise and abacus training effectively improves children’s cognitive development. Full article

The Basel III regulations turned the banking industry around worldwide and created new challenges for banks’ financial stability, particularly in liquidity management. As the demand for compliance with the rules started to grow, the inability of banks worldwide to meet the Basel III requirements about liquidity shifted the way they work. This paper highlights the complex relationship between liquidity and bank profitability in the post-Basel III era. Based on market presence and influence, 10 publicly traded UK commercial banks were selected for 2015–2021. Panel data, using FGLS regression models, were tested to elaborate in detail how the liquidity risk indicators determine banks’ performance, as measured by different profitability indicators. The findings were diversified: some showed that the relationship between liquidity risk indicators and bank profitability is contingent upon the interaction of several dimensions that range from the internal aspects of the banks themselves to general macroeconomic factors. This study provides vital insights into the current literature on risk management, especially about liquidity risks and their effect on bank performance. The findings of this study contribute meaningfully to the knowledge base for banks, regulators, and policymakers. This will contribute to better decision-making, financial stability, and long-term development within the UK’s banking industry. Full article

Ancient monumental complexes need continuous analysis and monitoring operations to preserve a good conservation status. For this reason, the analysis of decay and alteration phenomena represents one of the main activities for their preservation. At the same time, the diffusion of Heritage Building Information Modelling (HBIM) methodology opens new scenarios for the management of Architectural Heritage. The paper describes the workflow based on a Scan-to-BIM approach for the generation of a decay map in an HBIM model. The workflow was applied to a significant case study, the church of “Santa Maria della Grotta” in Marsala (Italy). This church, partially excavated in a sandstone bank, is part of a larger heritage site consisting of a series of hypogea and a Punic necropolis dating back more than a thousand years. The Scan-to-BIM process, relying on an integrated survey combining mobile laser scanning and photogrammetric technologies, enabled the achievement of a complete 3D parametric model of the monument and, altogether, a detailed decay map in a BIM environment. The mapping process focused on the production of thematic maps of perimetral walls according to an abacus of decays implemented in a BIM system, useful for the analysis and conservation of the church. The work demonstrates how the Scan-to-BIM process is an efficient approach for 3D data collection and how it could facilitate the identification and mapping of pathogenic phenomena. Furthermore, the inclusion of this kind of information in the BIM model represents an effective tool for the maintenance and restoration of built heritage. Full article

With the development of large-diameter shield tunnels, how to realize effective security and stability control of shield tunnel lining has become a significant research topic. This paper investigates the deformation and failure mechanism of lining large diameter shield tunnels in depth and discusses the deformation characteristics and influencing factors of the lining of the shield tunnel with various diameters through the software of finite element analysis ABACUS. A set of models with varying diameters is built under identical stress conditions in order to maintain control over the variable. The utilization of the elastic–plastic model is observed in the application of bolts and rebar. The utilization of the Concrete Damage Plasticity model has been taken into account for the concrete lining. For the sake of comparison, the crown displacement of the shield tunnel, strain in tension and compressive zones, bolt stress and strain, deformation and intemal force distribution around the shield tunnel, and cracks in the tension zone, are carefully studied. An in-depth analysis is conducted to elucidate the variations in damage evolution mechanisms across linings of different sizes, within the framework of plastic hinge theory. The results indicate that the convergence deformation of large-diameter tunnel lining increases significantly during loading compared with that of small-diameter tunnel. Moreover, the probability of brittle failure is higher in big-diameter shield tunnels compared to small-diameter tunnels, indicating that these larger tunnel structures are more prone to suffering geometric instability. Full article

This study tackles the challenge of identifying optimal investment sectors amid the growing importance of environmental, social, and governance (ESG) factors, which are often complex and conflicting. This research aims to effectively evaluate and prioritize ten investment sectors based on twelve ESG criteria by integrating expert evaluations with two advanced multi-criteria decision-making (MCDM) methods. Three expert teams assessed each sector’s performance based on these criteria using fuzzy logic to manage uncertainties in expert judgments. The MEREC (MEthod based on the Removal Effects of Criteria) identified biodiversity and land use as the most critical factor, while transparency and disclosure was least significant. The AROMAN (Alternative Ranking Order Method Accounting for two-step Normalization) method was further used to rank the ten alternative sectors, with impact investing funds emerging as the top choice, followed by renewable energy and sustainable responsible investment funds. Conversely, ESG-compliant stocks, ESG-focused exchange-traded funds, and ESG-focused real estate investment trusts ranked the lowest. The study’s findings were validated through comparisons with other MCDM tools and sensitivity analysis, confirming the robustness of the proposed model. This research offers a valuable framework for investors looking to incorporate ESG considerations into their decision-making, promoting sustainable and responsible investing practices. Full article

Background: Postpartum depression is a public health problem that affects a considerable percentage of women. Despite the proliferation of related apps, there are limited data available on the best apps to prevent postpartum depression. We identified which apps available in Spanish could be recommended by midwives based on their content, quality, and behaviour change techniques, as a complementary tool for preventing postpartum depression in women. Methods: A systematic search was performed to identify apps available on iOS App Store and Google Play, which were used to replicate how patients’ access “postpartum depression prevention” apps. Apps’ quality, behaviour change potential, and contents were assessed. Results: A total of 1408 apps were identified, of which 7 were retrieved for assessment (0.5%). The mean objective and subject quality were 3.1 (SD = 1.01) and 2.7 (SD = 1.27), respectively. A total of 24 topics were identified. The mean ABACUS score was 6.6 (SD = 3.64), and the mean number of topics addressed by the apps was 9.9 (SD = 5.90). Conclusion: The results of the present study suggest that a specific free app is not available in Spanish for the prevention of postpartum depression, and only a small percentage of free apps should be recommended based on their quality, BCTs, and contents. The systematic review protocol was not registered. Full article

For artificial intelligence (AI) to support nutrition care, high quality and accuracy of its features within smartphone applications (apps) are essential. This study evaluated popular apps’ features, quality, behaviour change potential, and comparative validity of dietary assessment via manual logging and AI. The top 200 free and paid nutrition-related apps from Australia’s Apple App and Google Play stores were screened (n = 800). Apps were assessed using MARS (quality) and ABACUS (behaviour change potential). Nutritional outputs from manual food logging and AI-enabled food-image recognition apps were compared with food records for Western, Asian, and Recommended diets. Among 18 apps, Noom scored highest on MARS (mean = 4.44) and ABACUS (21/21). From 16 manual food-logging apps, energy was overestimated for Western (mean: 1040 kJ) but underestimated for Asian (mean: −1520 kJ) diets. MyFitnessPal and Fastic had the highest accuracy (97% and 92%, respectively) out of seven AI-enabled food image recognition apps. Apps with more AI integration demonstrated better functionality, but automatic energy estimations from AI-enabled food image recognition were inaccurate. To enhance the integration of apps into nutrition care, collaborating with dietitians is essential for improving their credibility and comparative validity by expanding food databases. Moreover, training AI models are needed to improve AI-enabled food recognition, especially for mixed dishes and culturally diverse foods. Full article