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20 pages, 3635 KB

Open AccessArticle

Theoretical Thermal Management Concepts of Recovery Heat Waste in Solid Oxide Fuel Cell System

by Georgi D. Todorov, Todor Todorov, Konstantin Kamberov and Grazia Lo Sciuto

Hydrogen 2025, 6(4), 82; https://doi.org/10.3390/hydrogen6040082 (registering DOI) - 9 Oct 2025

Solid oxide electrolysis cells (SOEC) system has potential to offer an efficient green hydrogen production technology. However, the significant cost of this technology is related to the high operating temperatures, materials and thermal management including the waste heat. Recovering the waste heat can [...] Read more.

Solid oxide electrolysis cells (SOEC) system has potential to offer an efficient green hydrogen production technology. However, the significant cost of this technology is related to the high operating temperatures, materials and thermal management including the waste heat. Recovering the waste heat can be conducted through techniques to reduce the overall energy consumption. This approach aims to improve accuracy and efficiency by recovering and reusing the heat that would otherwise be lost. In this paper, thermal energy models are proposed based on waste heat recovery methodologies to utilize the heat from outlet fluids within the SOEC system. The mathematical methods for calculating thermal energy and energy transfer in SOEC systems have involved the principles of heat transfer. To address this, different simplified thermal models are developed in Simulink Matlab R2025b. The obtained results for estimating proper thermal energy for heating incoming fluids and recycled heat are discussed and compared to determine the efficient and potential thermal model for improvement the waste heat recovery. Full article

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38 pages, 5294 KB

Open AccessArticle

A Discrete Schwarzian Derivative via Circle Packing

by Kenneth Stephenson

Geometry 2025, 2(4), 16; https://doi.org/10.3390/geometry2040016 - 9 Oct 2025

Abstract

There exists an extensive and fairly comprehensive discrete analytic function theory which is based on circle packing. This paper introduces a faithful discrete analogue of the classical Schwarzian derivative to this theory and develops its basic properties. The motivation comes from the current [...] Read more.

There exists an extensive and fairly comprehensive discrete analytic function theory which is based on circle packing. This paper introduces a faithful discrete analogue of the classical Schwarzian derivative to this theory and develops its basic properties. The motivation comes from the current lack of circle packing algorithms in spherical geometry, and the discrete Schwarzian derivative may provide for new approaches. A companion localized notion called an intrinsic schwarzian is also investigated. The main concrete results of the paper are limited to circle packing flowers. A parameterization by intrinsic schwarzians is established, providing an essential packing criterion for flowers. The paper closes with the study of special classes of flowers that occur in the circle packing literature. As usual in circle packing, there are pleasant surprises at nearly every turn, so those not interested in circle packing theory may still enjoy the new and elementary geometry seen in these flowers. Full article

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11 pages, 228 KB

Open AccessArticle

Can Clinical Scores Reduce CT Use in Renal Colic? A Head-to-Head Comparison

by Ramazan Kıyak, Meliha Fındık, Bahadır Çağlar, Süha Serin, Gökhan Taşkın and Ahmet Buğra Önler

Tomography 2025, 11(10), 113; https://doi.org/10.3390/tomography11100113 - 9 Oct 2025

Abstract

Objective: Non-contrast computed tomography (CT) remains the gold standard for diagnosing ureteral stones, with excellent sensitivity and specificity. However, reliance on CT alone raises concerns regarding cumulative radiation exposure, particularly in recurrent stone formers. Clinical scoring systems such as CHOKAI, STONE, and modified [...] Read more.

Objective: Non-contrast computed tomography (CT) remains the gold standard for diagnosing ureteral stones, with excellent sensitivity and specificity. However, reliance on CT alone raises concerns regarding cumulative radiation exposure, particularly in recurrent stone formers. Clinical scoring systems such as CHOKAI, STONE, and modified STONE have been developed to provide practical bedside tools for diagnostic decision-making. This study prospectively compared these three clinical scores for their ability to predict urinary-stone disease in the emergency department. Study Design: Prospective study. Methods and Duration of the Study: Between 6 August 2024 and 15 February 2025, 130 consecutively enrolled adults with flank pain underwent bedside scoring and reference-standard non-contrast CT. Associations were analysed with Chi-Square Tests and multivariable logistic regression. Model calibration was assessed with the Hosmer–Lemeshow test; overall accuracy was calculated. Results: When the variables used in different stone scoring formulas were compared according to the computer tomography results, there was a statistically significant difference (p < 0.01) between patients with and without a history of stone and hydronephrosis. Patients with nausea, history of stone, and hydronephrosis were 11, 4.2, and 5 times more highly to have a stone on computer tomography than those without, respectively. Conclusions: In this Turkish cohort, CHOKAI and modified STONE demonstrated superior predictive performance compared to the original STONE score. These findings suggest that clinical scoring systems, when incorporating predictors such as nausea, prior stone history, and hydronephrosis, may serve as practical alternatives to CT-first diagnostic approaches. Multicenter validation studies are required before routine clinical adoption. Full article

22 pages, 4366 KB

Open AccessArticle

Numerical Investigation on Wave-Induced Boundary Layer Flow over a Near-Wall Pipeline

by Guang Yin, Sindre Østhus Gundersen and Muk Chen Ong

Coasts 2025, 5(4), 40; https://doi.org/10.3390/coasts5040040 - 9 Oct 2025

Abstract

Pipelines and power cables are critical infrastructures in coastal areas for transporting energy resources from offshore renewable installations to onshore grids. It is important to investigate the hydrodynamic forces on pipelines and cables and their surrounding flow fields, which are highly related to [...] Read more.

Pipelines and power cables are critical infrastructures in coastal areas for transporting energy resources from offshore renewable installations to onshore grids. It is important to investigate the hydrodynamic forces on pipelines and cables and their surrounding flow fields, which are highly related to their on-bottom stability. The time-varying hydrodynamic forces coefficients and unsteady surrounding flows of a near-seabed pipeline subjected to a wave-induced oscillatory boundary layer flow are studied through numerical simulations. The Keulegan–Carpenter numbers of the oscillatory flow are up to 400, which are defined based on the maximum undisturbed near-bed orbital velocity, the pipeline diameter and the period of the oscillatory flow. The investigated Reynolds number is set to 1 × 10⁴, defined based on U_w and D. The influences of different seabed roughness ratios k_s/D (where k_s is the Nikuradse equivalent sand roughness) up to 0.1 on the hydrodynamic forces and the flow fields are considered. Both a wall-mounted pipeline with no gap ratio to the bottom wall and a pipeline with different gap ratios to the wall are investigated. The correlations between the hydrodynamic forces and the surrounding flow patterns at different time steps during one wave cylinder are analyzed by using the force partitioning method and are discussed in detail. It is found that there are influences of the increasing k_s/D on the force coefficients at large KC, while for the small KC, the inertial effect from the oscillatory flow dominates the force coefficients with small influences from different k_s/D. The FPM analysis shows that the elongated shear layers from the top of the cylinder contribute to the peak values of the drag force coefficients. Full article

27 pages, 2386 KB

Open AccessArticle

Digital Technology for Sustainable Air Transport: The Impact on Older Passengers in China

by Iryna Heiets and Doreen La

Future Transp. 2025, 5(4), 140; https://doi.org/10.3390/futuretransp5040140 - 9 Oct 2025

Abstract

This study explores older passengers’ attitudes, behavior, and evaluations of digital air travel, as well as the impact of digital technologies on this demographic, using China as a case study. The findings of this study offer valuable insights for air transport companies to [...] Read more.

This study explores older passengers’ attitudes, behavior, and evaluations of digital air travel, as well as the impact of digital technologies on this demographic, using China as a case study. The findings of this study offer valuable insights for air transport companies to develop sustainable operational strategies, increase passenger satisfaction, and potentially achieve long-term viability. A structured questionnaire survey was conducted targeting this subgroup, applying the Technology Acceptance Model (TAM) and the Theory of Planned Behavior (TPB) as the primary analytical frameworks. While the study’s sample is skewed towards digitally literate individuals, this subgroup remains highly relevant for analyzing digital impact trends, as they are the most likely to interact with and be influenced by digital air travel tools. This study suggests that older passengers, particularly young-old passengers, in China have a generally positive attitude towards the use of digital air travel tools, with time saving, convenience, and cost saving identified as the top three perceived benefits. Over 80% of participants indicated that digital technology influenced their decision to continue choosing air travel, highlighting a link between digital engagement and sustainable passenger behavior. However, as this study is limited to digitally literate “young-old” passengers in China, the findings should be interpreted as exploratory and context-specific rather than globally generalizable. Future studies are needed with broader age groups and mixed methods to verify these results. Full article

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15 pages, 2231 KB

Open AccessArticle

Hydroxamic Acid Isolated from Maize Roots Exhibits Potent Antimicrobial Activity Against Pathogenic Escherichia coli in Broiler Chickens

by Qudrat Ullah, Shakoor Ahmad, Sarzamin Khan, Ijaz Ahmad, Samiullah Khan, Rajwali Khan and Farhan Anwar Khan

Microbiol. Res. 2025, 16(10), 222; https://doi.org/10.3390/microbiolres16100222 - 9 Oct 2025

Abstract

Restrictions on adding antibiotics to animal diets have posed challenges in managing gut pathogens, emphasizing the significance of effective non-antibiotic growth promoters to maintain animal health and productivity. This study assessed the efficacy of hydroxamic acid (HA), derived from local maize varieties, as [...] Read more.

Restrictions on adding antibiotics to animal diets have posed challenges in managing gut pathogens, emphasizing the significance of effective non-antibiotic growth promoters to maintain animal health and productivity. This study assessed the efficacy of hydroxamic acid (HA), derived from local maize varieties, as a non-antibiotic growth promoter in broilers. Among 10 different maize varieties, the Azam variety yielded the highest HA concentration (35 ± 7 μg/g of roots), as quantified by high-performance liquid chromatography (HPLC). In vitro antimicrobial assays demonstrated the lowest minimum inhibitory concentration (MIC) of 0.022 mg for Azam-derived HA against pathogenic E. coli. To further assess in vivo efficacy, 108 birds were allocated at random to six treatment groups. The treatments include birds fed a basal diet without an E. coli challenge (negative control); an antibiotic-treated group challenged with E. coli and treated with enrofloxacin at a dosage of 5 milligrams (mg) per kilogram (kg), administered orally once daily from day 5 post-infection (dpi) for 7 consecutive days (standard); broilers challenged with E. coli and supplemented with a basal diet with HA at concentrations of 1, 10, or 100 mg/kg of feed from 5 dpi for one week (HA 1 mg, HA 10 mg, and HA 100 mg, respectively); and broilers challenged with E. coli without enrofloxacin/HA (positive control). The results demonstrated that birds fed a diet supplemented with the HA-100 mg improved the body weight (BW) and feed conversion ratio (FCR) compared to the positive control group. There were no significant differences (p > 0.05) observed for BW and FCR observed for the broilers fed on the standard and HA 100 mg groups. The addition of HA at 100 mg improved (p < 0.05) the hemoglobin (Hb) and packed cell volume (PCV) and reduced (p < 0.05) levels of malondialdehyde (MDA) compared to positive control group. A significantly low carcass weight (p < 0.05) was shown for positive control birds compared to other groups. Our findings indicate that maize-derived HA presents a phytogenic alternative to antibiotics by controlling enteric pathogens and improving health and performance affected by E. coli infection in broilers. Full article

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22 pages, 787 KB

Open AccessArticle

Leveraging Digital Innovation for Sustainable Performance via Supply Chain Resilience

by Yuhan Liu, Yubing Yu, Ye Wu, Yanqiu Liu and Min Zhang

J. Theor. Appl. Electron. Commer. Res. 2025, 20(4), 283; https://doi.org/10.3390/jtaer20040283 - 9 Oct 2025

Abstract

As an emerging innovation paradigm in the digital economy era, digital innovation has become an important means for manufacturing firms to build supply chain resilience for sustainable development, but its intrinsic mechanism requires clarification. This research explores the impact of digital innovation (digital [...] Read more.

As an emerging innovation paradigm in the digital economy era, digital innovation has become an important means for manufacturing firms to build supply chain resilience for sustainable development, but its intrinsic mechanism requires clarification. This research explores the impact of digital innovation (digital organizational innovation and digital product innovation) on supply chain resilience (supply chain readiness, supply chain responsiveness, and supply chain recovery) and sustainable performance via structural equation modeling involving data from 226 Chinese manufacturing firms. The results show that digital organizational innovation can promote digital product innovation. Digital organizational innovation and digital product innovation contribute to supply chain readiness, supply chain responsiveness, and supply chain recovery. Supply chain readiness, supply chain responsiveness, and supply chain recovery enhance sustainable performance. Finally, supply chain resilience mediates the relationship between digital innovation and sustainable performance. These findings reveal the role of digital innovation in improving sustainable performance through supply chain resilience and provide practical guidance for manufacturing companies to better conduct digital innovation to build supply chain resilience and thus realize sustainable development. Full article

(This article belongs to the Special Issue Digitalization and Sustainable Supply Chain)

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14 pages, 493 KB

Open AccessEntry

Geometry of an English Church Bell

by Robert Perrin, Zimu Guo, David Eager and Benjamin Halkon

Encyclopedia 2025, 5(4), 161; https://doi.org/10.3390/encyclopedia5040161 - 9 Oct 2025

Definition

The axisymmetric geometries of both internal and external profiles of church bells, along with the properties of the bell metal, are of vital importance to their acoustics. The role of “golden geometry” in determining the visual characteristics of the outer profile of a [...] Read more.

The axisymmetric geometries of both internal and external profiles of church bells, along with the properties of the bell metal, are of vital importance to their acoustics. The role of “golden geometry” in determining the visual characteristics of the outer profile of a modern English church bell is presented. It is shown that a golden rectangle, a golden triangle, and a golden angle are all important factors. Three angular parameters are identified as measures of these attributes of the bell’s “goldenness”. Two of these features are shown to result from an underlying regular pentagon with one side defined by the bell’s mouth. The centre of this pentagon determines the location of the bell’s shoulders. Further minor features are also shown to be determined by golden geometry. The evolution of the three angular parameters over the previous millennium is included, showing a tendency to trend quickly towards the golden values in all the cases. Ultimately, the angular parameters for the English church bell of focus here are used for comparison with other modern European bells studied previously. The bells considered all displayed at least two of the three major golden features to an agreement of better than 1%. Full article

(This article belongs to the Section Engineering)

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26 pages, 695 KB

Open AccessArticle

Managing Service-Level Returns in E-Commerce: Joint Pricing, Delivery Time, and Handling Strategy Decisions

by Sisi Zhao

J. Theor. Appl. Electron. Commer. Res. 2025, 20(4), 282; https://doi.org/10.3390/jtaer20040282 - 9 Oct 2025

Abstract

This research investigates the strategic interplay between pricing, delivery promises, and handling strategies for service-level returns—products returned by consumers due to operational issues like late delivery rather than product defects. In a vertical decentralized supply chain with a manufacturer and an e-tailer, a [...] Read more.

This research investigates the strategic interplay between pricing, delivery promises, and handling strategies for service-level returns—products returned by consumers due to operational issues like late delivery rather than product defects. In a vertical decentralized supply chain with a manufacturer and an e-tailer, a shorter promised delivery lead time (PDL) attracts more customers but also increases the risk of late delivery, making products more return-prone. Modeling the return rate as an endogenous variable dependent on the e-tailer’s PDL decision, we develop a Manufacturer-Stackelberg (MS) game-theoretic model to examine whether service-level returns should be handled by the manufacturer (Buy-Back strategy) or the e-tailer (No-Returns strategy). The results suggest that the optimal handling strategy depends on the e-tailer’s reselling ratio—a measure of its efficiency in extracting value from returns. A win-win situation is achieved when the reselling ratio is smaller than a threshold, as the manufacturer’s decision to buy back these returns also benefits the e-tailer. Surprisingly, when the manufacturer leaves the e-tailer to handle FFRs, a higher reselling ratio is not necessarily profitable for the e-tailer. Extending the analysis to a retailer-Stackelberg (RS) scenario reveals that the supply chain’s power structure is a fundamental determinant of the optimal returns handling strategy, shifting the equilibrium from a counterintuitive, power-distorted outcome in a MS system to an intuitive, profit-driven one in a RS system. Full article

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15 pages, 1013 KB

Open AccessArticle

Divergent Trends in Esophageal Adenocarcinoma and Squamous Cell Carcinoma Incidence, 2000–2022

by Vinit H. Majmudar, Kyle Nguyen-Ngo and Michael Tadros

Gastroenterol. Insights 2025, 16(4), 37; https://doi.org/10.3390/gastroent16040037 - 9 Oct 2025

Abstract

Background: Esophageal adenocarcinoma (EAC) and squamous cell carcinoma (ESCC) follow divergent incidence trajectories in the United States. Rising use of electronic nicotine delivery systems (ENDS) and evolving demographic risk profiles may be reshaping these trends. We aimed to characterize national incidence patterns [...] Read more.

Background: Esophageal adenocarcinoma (EAC) and squamous cell carcinoma (ESCC) follow divergent incidence trajectories in the United States. Rising use of electronic nicotine delivery systems (ENDS) and evolving demographic risk profiles may be reshaping these trends. We aimed to characterize national incidence patterns of EAC and ESCC from 2000 through 2022—stratified by age, sex, and race/ethnicity—and to place these in the context of changing behavioral exposures. Methods: We performed a retrospective cohort study using Surveillance, Epidemiology, and End Results SEER 21 registry data (covering 48% of the U.S. population). We included first-primary, histologically confirmed EAC (ICD-O-3 codes 8140–8576) and ESCC (8050–8084) in individuals aged ≥ 15 years diagnosed between 2000 and 2022. Age-adjusted incidence rates (per 100,000 person-years; 2000 U.S. standard) and annual percent changes (APCs) were estimated via Joinpoint regression models. Results: A total of 90,290 EAC and 47,916 ESCC cases were identified. EAC incidence increased from 2.3 to 2.8 per 100,000 (APC +0.90%; 95% CI, 0.45–1.35), with the largest relative rises in ages 15–39 years (APC +1.50%) and among women (APC +2.65%). Non-Hispanic Black and American Indian/Alaska Native populations experienced the most pronounced EAC increases. Overall ESCC incidence declined (APC −0.78%; 95% CI, −1.10 to −0.46), though Asian/Pacific Islander (+3.59%) and American Indian/Alaska Native (+1.58%) groups saw rising rates. Conclusions: EAC incidence continues to climb—especially in younger adults, women, and select racial/ethnic minorities—while ESCC declines are uneven. These histology-specific patterns highlight the urgency of tailored prevention, targeted early-detection efforts, and mechanistic studies on emerging exposures such as vaping. Full article

(This article belongs to the Section Gastrointestinal Disease)

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23 pages, 3808 KB

Open AccessArticle

The Antiproliferative Activity of Tatridin A Against Prostate Cancer Cells Is Lost in Acid Medium by Transformation to Desacetyl-β-Cyclopyrethrosin

by Cecilia Villegas, Rebeca Pérez, Camilo Céspedes-Méndez, Viviana Burgos, Ricardo Baggio, Sebastián Suárez, Bernd Schmidt and Cristian Paz

J. Xenobiot. 2025, 15(5), 161; https://doi.org/10.3390/jox15050161 - 9 Oct 2025

Abstract

Background: Prostate cancer (PC) progression is strongly driven by dysregulated signaling pathways, with NF-κB playing a central role. Sesquiterpene lactones have been reported to modulate this pathway. This study evaluated and compared the cytotoxic effects of two structurally distinct sesquiterpene lactones: Tatridin A, [...] Read more.

Background: Prostate cancer (PC) progression is strongly driven by dysregulated signaling pathways, with NF-κB playing a central role. Sesquiterpene lactones have been reported to modulate this pathway. This study evaluated and compared the cytotoxic effects of two structurally distinct sesquiterpene lactones: Tatridin A, a germacranolide, and desacetyl-β-cyclopyrethrosin, a eudesmanolide derivative. Their mechanisms of action were also examined, focusing on oxidative stress induction and NF-κB modulation. Methods: Chemical structures were confirmed by NMR and X-ray crystallography. Cytotoxicity was assessed in DU-145 and 22Rv1 PC cells using real-time cell analysis. Reactive oxygen species (ROS) and mitochondrial membrane potential (ΔΨm) were measured with fluorometric assays. NF-κB activity was determined in THP-1 reporter cells and by Western blot of IκBα phosphorylation. Results: Tatridin A markedly reduced viability, showing lower IC₅₀ values (81.4 ± 2.7 µM in DU-145 and 50.7 ± 1.9 µM in 22Rv1 cells) than desacetyl-β-cyclopyrethrosin (166.9 ± 3.2 µM and 290.3 ± 8.3 µM, respectively). It also inhibited proliferation at markedly lower concentrations, with clonogenic IC₅₀ values of 7.7 µM in DU-145 and 5.24 µM in 22Rv1cells. Both compounds increased ROS, but tatridin A induced earlier and stronger responses and ΔΨm loss. Furthermore, tatridin A more effectively inhibited NF-κB signaling than classical inhibitors. Conclusions: Tatridin A exerts cytotoxic effects through oxidative stress, mitochondrial impairment, and NF-κB inhibition, supporting the therapeutic potential of germacranolides for the treatment of advanced PC. Full article

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14 pages, 608 KB

Open AccessArticle

Are There Mental Health Benefits for Those Who Deliver Peer Support? A Mobile App Intervention for Adults with Type 1 Diabetes

by Debbie Lam, Diana Sherifali, Frances S. Chen and Tricia S. Tang

Diabetology 2025, 6(10), 116; https://doi.org/10.3390/diabetology6100116 - 9 Oct 2025

Abstract

Background/Objectives: Peer support offers a promising approach for improving psychosocial outcomes among adults with type 1 diabetes (T1D). However, research has focused largely on the recipients of peer support rather than the individuals who provide support. This pilot study investigates the impact of [...] Read more.

Background/Objectives: Peer support offers a promising approach for improving psychosocial outcomes among adults with type 1 diabetes (T1D). However, research has focused largely on the recipients of peer support rather than the individuals who provide support. This pilot study investigates the impact of delivering support on diabetes distress and other secondary mental health outcomes (e.g., depressive symptoms, resilience, and perceived social support). Methods: This pre–post single-cohort study recruited 44 adults with T1D who underwent a six-hour Zoom-based peer supporter training program designed to equip them with support-related skills (asking open-ended questions, making reflections, expressing empathy). Of this group, 36 served as peer supporters for REACHOUT, a six-month mental health support intervention delivered via mobile app. Assessments were conducted at baseline and after six months and measured diabetes distress (Type 1 Diabetes Distress Scale), depressive symptomatology (Patient Health Questionnaire-8), resilience (Diabetes Strengths and Resilience Measure), and perceived social support. Unadjusted and adjusted linear mixed models were performed for each outcome measure of interest. Results: Peer supporters had a mean age of 41 ± 16 years, with a majority identifying as female (75%). At baseline, peer supporters had little to no diabetes distress (50%) and no to mild depressive symptomatology (72%). Mean scores at baseline for diabetes distress, depressive symptoms, resilience, and perceived social support were sustained at 6 months post-intervention. Conclusions: Among peer supporters whose diabetes distress scores start around the target range, ongoing maintenance of these levels may reflect a favorable outcome associated with delivering mental health support. Full article

(This article belongs to the Special Issue Lifestyle Behavior Intervention for Diabetes Prevention and Management: 2nd Edition)

31 pages, 736 KB

Open AccessReview

Factors Influencing the Prescription of First-Line Treatment for Type 2 Diabetes Mellitus: A Systematic Review

by Helena Silva-Moreira, Fernando Moreira, Ângelo Jesus, Matilde Monteiro-Soares and Paulo Santos

Diabetology 2025, 6(10), 114; https://doi.org/10.3390/diabetology6100114 - 9 Oct 2025

Abstract

Background/Objectives: Understanding prescribing patterns for type 2 diabetes mellitus, a complex condition affecting over 10% of the global adult population, can optimise prescribing practices, guide policymakers in promoting evidence-based medicine, and help tailor first-line treatments to individual characteristics or specific subgroups, improving patient [...] Read more.

Background/Objectives: Understanding prescribing patterns for type 2 diabetes mellitus, a complex condition affecting over 10% of the global adult population, can optimise prescribing practices, guide policymakers in promoting evidence-based medicine, and help tailor first-line treatments to individual characteristics or specific subgroups, improving patient outcomes. This study aimed to identify factors influencing the prescription and non-prescription of metformin, the recommended first-line therapy in Western guidelines, and to evaluate whether these prescribing patterns align with evidence-based recommendations. It also explores factors associated with initial combination therapy, a more recent and controversial approach compared to stepwise therapy. Methods: We conducted a systematic search in PubMed, Scopus, and Web of Science on 25 August 2023, without language or time restrictions, to identify observational analytical studies assessing factors associated with the initiation of metformin or combination therapy in adults with type 2 diabetes mellitus who were naïve to antidiabetic medications. Studies involving pregnant or breastfeeding women were excluded. A narrative synthesis was conducted. Study quality was assessed using the Joanna Briggs Institute critical appraisal checklists (PROSPERO registration number CRD42023438313). Results: Thirty studies were included, evaluating 105 variables, most of which (62%) were assessed in one study. The 25 variables using combination therapy as the outcome were mostly (72%) evaluated also in one study. Initial metformin prescription was strongly and positively associated with younger age, lower glycated haemoglobin levels, higher body mass index, and absence of renal impairment. Initial combination therapy was associated with higher HbA1c levels and a lower burden of comorbidities. Findings also highlighted a discrepancy between clinical practice and evidence-based recommendations. However, concerns were raised regarding both the internal and external validity of the included studies. Conclusions: Our systematic review, which offers insights into real-world clinical practices, indicated that there is a misalignment between clinical practices and evidence-based recommendations, supporting the need for interventions in this field. Full article

(This article belongs to the Special Issue Early Intervention and Treatment Strategies for Diabetes)

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12 pages, 965 KB

Open AccessArticle

Data-Efficiency with Comparable Accuracy: Personalized LSTM Neural Network Training for Blood Glucose Prediction in Type 1 Diabetes Management

by Esha Manchanda, Jialiu Zeng and Chih Hung Lo

Diabetology 2025, 6(10), 115; https://doi.org/10.3390/diabetology6100115 - 9 Oct 2025

Abstract

Background/Objectives: Accurate blood glucose forecasting is critical for closed-loop insulin delivery systems to support effective disease management in people with type 1 diabetes (T1D). While long short-term memory (LSTM) neural networks have shown strong performance in glucose prediction tasks, the relative performance of [...] Read more.

Background/Objectives: Accurate blood glucose forecasting is critical for closed-loop insulin delivery systems to support effective disease management in people with type 1 diabetes (T1D). While long short-term memory (LSTM) neural networks have shown strong performance in glucose prediction tasks, the relative performance of individualized versus aggregated training remains underexplored. Methods: In this study, we compared LSTM models trained on individual-specific data to those trained on aggregated data from 25 T1D subjects using the HUPA UCM dataset. Results: Despite having access to substantially less training data, individualized models achieved comparable prediction accuracy to aggregated models, with mean root mean squared error across 25 subjects of 22.52 ± 6.38 mg/dL for the individualized models, 20.50 ± 5.66 mg/dL for the aggregated models, and Clarke error grid Zone A accuracy of 84.07 ± 6.66% vs. 85.09 ± 5.34%, respectively. Subject-level analyses revealed only modest differences between the two approaches, with some individuals benefiting more from personalized training. Conclusions: These findings suggest that accurate and clinically reliable glucose prediction is achievable using personalized models trained on limited individual data, with important implications for adaptive, on-device training, and privacy-preserving applications. Full article

37 pages, 2115 KB

Open AccessArticle

Experimental Analysis of Fractured Human Bones: Brief Review and New Approaches

by Ioan Száva, Iosif Șamotă, Teofil-Florin Gălățanu, Dániel-Tamás Száva and Ildikó-Renáta Száva

Prosthesis 2025, 7(5), 126; https://doi.org/10.3390/prosthesis7050126 - 9 Oct 2025

Abstract

Long bone fractures are breaks or cracks in a long bone of the body typically caused by trauma like a fall, sport injury, accidents etc. This study investigates the effectiveness of experimental methods for fast and safe healing of long bone fractures in [...] Read more.

Long bone fractures are breaks or cracks in a long bone of the body typically caused by trauma like a fall, sport injury, accidents etc. This study investigates the effectiveness of experimental methods for fast and safe healing of long bone fractures in humans, highlighting both their advantages and disadvantages, respectively finding the most effective and safe methods for evaluating the types of fixators that can be used in the consolidation of fractured long bones. As for the preliminary data, numerical methods and applied mathematics were used to address this problem. After collecting of preliminary data there were performed a series of experimental analysis as follows: Electrical Strain Gauges (ESGs); the Moiré Fringes method; Photo-Elasticity, with the particular technique thereof, the so-called Photo-Stress method; Holographic Interferometry (HI); Speckle Pattern Interferometry (ESPI) and Shearography; and Video Image Correlation (VIC), which is also called Digital Image Correlation (DIC). By analyzing different methods, the following two methods resulted to be widely applicable, namely, ESG and DIC/VIC. The findings highlight the net advantages regarding the objective choice of these types of fixators, thereby contributing to a possible extension of these approaches for the benefit of medical surgical practice Full article

17 pages, 6195 KB

Open AccessTechnical Note

Design, Testing and Validation of a Cost Effective and Sustainable Bamboo Prosthetic Foot

by Luca Baldassari, Matilde Minuto, Emanuele Gruppioni and Mattia Frascio

Prosthesis 2025, 7(5), 124; https://doi.org/10.3390/prosthesis7050124 - 9 Oct 2025

Abstract

This study proposes an approach to design and develop a prosthetic foot using bamboo laminate, a sustainable and cost-effective material. The proposed design method is an alternative to the current prosthetic foot design methods developed mainly for carbon-fiber reinforced polymer. This design solution [...] Read more.

This study proposes an approach to design and develop a prosthetic foot using bamboo laminate, a sustainable and cost-effective material. The proposed design method is an alternative to the current prosthetic foot design methods developed mainly for carbon-fiber reinforced polymer. This design solution entails significant economic and environmental costs. The research is structured into three main phases: an experimental campaign to characterize the reference prosthesis and select materials for the prototype; a dimensional design and prototyping phase using the new materials; and finally, a phase dedicated to testing and comparative evaluation of the results. Static tests, conducted in accordance with ISO 22675 on both the bamboo prototype and a commercial reference model, revealed comparable static performance between the two solutions. The laminated bamboo prosthetic foot exhibits a strength-to-weight ratio comparable to that of carbon fiber laminates. Its stiffness deviates by less than 15%, with an 8% reduction in weight and a 7% increase in volume compared to the carbon fiber counterpart. Therefore, these results confirm the feasibility of laminated bamboo as a viable material for prosthetic foot design. Full article

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17 pages, 1805 KB

Open AccessArticle

Comparative Analysis of Implant Deviation with Varying Angulations and Lengths Using a Surgical Guide: An In Vitro Experimental Study

by Bakhan Ahmed Mohammed and Ranj Adil Jalal

Prosthesis 2025, 7(5), 125; https://doi.org/10.3390/prosthesis7050125 - 9 Oct 2025

Abstract

Implant placement requires a digital workflow and the use of surgical guides. However, there is divergence in the angulation length of influence and precision. Therefore, a 3D assessment is also required. This insertion study aims to evaluate the accuracy in vitro by utilizing [...] Read more.

Implant placement requires a digital workflow and the use of surgical guides. However, there is divergence in the angulation length of influence and precision. Therefore, a 3D assessment is also required. This insertion study aims to evaluate the accuracy in vitro by utilizing guided templates, deviation analysis, depth, and orientation over different lengths and angles. Methods and Materials: This study comprises a total of 180 implants placed in 90 resin-printed mandibular models, divided into nine groups (a 3 × 3 factorial design, n = 20/group). A reference model was created using Real GUIDE software (version5.3), integrating a CBCT scanner (Carestream CS 9600, Medit Corp., Seoul, Republic of Korea) and an intraoral scanner (Medit i900) (Medit Corp., Seoul, Republic of Korea). Implant planning and surgical guide design were digitally executed and printed with Mazic resin (Vericom Co., Ltd., Chuncheon, Republic of Korea). Implants were placed using Oxy Implant PSK Line (Oxy Implant, Brescia, Italy) fixtures in mannequins. Postoperative CBCT scans were used to measure deviations in angular, vertical, and lateral dimensions using CS Imaging (v8.0.22) (Carestream Dental LLC, Atlanta, GA, USA). Statistical analysis was run by using SPSS v26. Results: The results demonstrated that implant angulation significantly impacted the precision of placement. Angulating escalation leads to intensive deviations, which are linear and angular calculations. On the one hand, the most significant deviations were observed at a 25° angulation, particularly in the buccal and lingual apex regions. On the other hand, 0° exhibited minimal deviations. Longer implants showed reduced angular deviations, whereas shorter implants (8.5 mm) exhibited higher vertical deviations, particularly at 0° of angulation. Moderate angulation (15°) with 11.5 mm implants provided the highest precision, while 0° angulation with 15 mm implants consistently exhibited the least deviation. These findings pinpoint the fundamental importance of angulation and implant length for exceptional placement accuracy. Conclusions: This study demonstrates the influence of placement accuracy with static guides on implant angulation and length. Moderate angulation, which is (15°), enhances accuracy, particularly within 11.5 mm implants. On the other hand, steeper angles (25°) and longer implants (15 mm) result in elevated deviations. Guidance formation and operator experience are also vital. Full article

(This article belongs to the Topic New Technological and Clinical Advances for Controlling Peri-Implantitis)

24 pages, 1700 KB

Open AccessArticle

Efficient Sparse MLPs Through Motif-Level Optimization Under Resource Constraints

by Xiaotian Chen, Hongyun Liu and Seyed Sahand Mohammadi Ziabari

AI 2025, 6(10), 266; https://doi.org/10.3390/ai6100266 - 9 Oct 2025

Abstract

We study motif-based optimization for sparse multilayer perceptrons (MLPs), where weights are shared and updated at the level of small neuron groups (`motifs’) rather than individual connections. Building on Sparse Evolutionary Training (SET), our approach reduces the number of unique parameters and redundant [...] Read more.

We study motif-based optimization for sparse multilayer perceptrons (MLPs), where weights are shared and updated at the level of small neuron groups (`motifs’) rather than individual connections. Building on Sparse Evolutionary Training (SET), our approach reduces the number of unique parameters and redundant multiply-–accumulate operations by exploiting block-structured sparsity. Across Fashion-MNIST and a lung X-ray dataset, our Motif-SET improves training/inference efficiency with modest accuracy trade-offs, and we provide a principled recipe to choose motif size based on accuracy and efficiency budgets. We further compare against representative modern sparse training and compression methods, analyze failure modes such as overly large motifs, and outline real-world constraints on mobile/embedded targets. Our results and ablations indicate that motif size

m = 2

often offers a strong balance between compute and accuracy under resource constraints. Full article

19 pages, 1175 KB

Open AccessArticle

The Effect of the Clinical-Pathological CPS+EG Staging System on Survival Outcomes in Patients with HER2-Positive Breast Cancer Receiving Neoadjuvant Treatment: A Retrospective Study

by Seval Orman, Miray Aydoğan, Oğuzcan Kınıkoğlu, Sedat Yıldırım, Nisanur Sarıyar Busery, Hacer Şahika Yıldız, Ezgi Türkoğlu, Tuğba Kaya, Deniz Işık, Seval Ay Ersoy, Hatice Odabaş and Nedim Turan

Medicina 2025, 61(10), 1813; https://doi.org/10.3390/medicina61101813 - 9 Oct 2025

Abstract

Background and Objectives: To evaluate the prognostic value of the Clinical–Pathologic Stage–Estrogen receptor status and Grade (CPS+EG) staging system, which combines clinical staging, pathological staging, oestrogen receptor (ER) status, and tumour grade in predicting survival outcomes in patients with human epidermal growth [...] Read more.

Background and Objectives: To evaluate the prognostic value of the Clinical–Pathologic Stage–Estrogen receptor status and Grade (CPS+EG) staging system, which combines clinical staging, pathological staging, oestrogen receptor (ER) status, and tumour grade in predicting survival outcomes in patients with human epidermal growth factor receptor 2 (HER2)-positive breast cancer receiving neoadjuvant therapy (NACT). Materials and Methods: A retrospective review was performed on 245 female breast cancer patients who received anti-HER2 therapy alongside NACT at the Medical Oncology Department of Kartal Dr Lütfi Kırdar City Hospital, University of Health Sciences, from April 2012 to June 2024. The CPS+EG score was calculated using the MD Anderson Cancer Centre neoadjuvant treatment response calculator. Patients were categorised into two groups based on their CPS+EG score < 3 and ≥3. The primary outcomes assessed were disease-free survival (DFS) and overall survival (OS). Kaplan–Meier and log-rank tests were utilised for time-to-event analysis; Cox regression was used for multivariate analysis. A significance level of ≤0.05 was considered. Results: The median age of the patient cohort was 51 years (range: 27–82 years). Among these patients, 183 (74.6%) had a CPS+EG score less than 3, while 62 (25.3%) exhibited a score of 3 or higher. The median follow-up duration was 37.6 months. The pathological complete response (pCR) rate across the entire cohort was 51.8%. Specifically, the pCR rate was 56.3% in the group with CPS+EG scores below 3, and 38.7% in those with scores of 3 or higher (p = 0.017). Patients with CPS+EG scores less than 3 demonstrated superior overall survival (OS), which reached statistical significance in univariate analysis. Multivariate analysis identified the CPS+EG score as an independent prognostic factor for both overall survival and disease-free survival (DFS), with hazard ratios of 0.048 (95% CI: 0.004–0.577, p = 0.017) and 0.35 (95% CI: 0.14–0.86, p = 0.023), respectively. Conclusions: The CPS+EG score is an independent and practical prognostic marker, particularly for overall survival, in patients with HER2-positive breast cancer who have received neoadjuvant therapy. Patients with a CPS+EG score < 3 have higher pCR rates and survival rates. When used in conjunction with pCR, it can improve risk categorisation and contribute to the individualisation of adjuvant strategies in the post-neoadjuvant period. Due to its ease of calculation and lack of additional costs, this score can be instrumental in clinical practice for identifying high-risk patients. Our findings support the integration of the CPS+EG score into routine clinical decision-making processes, although prospective validation studies are necessary. Full article

(This article belongs to the Special Issue New Developments in Diagnosis and Management of Breast Cancer)

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17 pages, 935 KB

Open AccessArticle

The Impact of Additional Exercise Interventions on Physical Performance and Muscle Strength of Frail Patients After Open-Heart Surgery: A Randomized Trial

by Vitalija Stonkuvienė, Raimondas Kubilius and Eglė Lendraitienė

Medicina 2025, 61(10), 1812; https://doi.org/10.3390/medicina61101812 - 9 Oct 2025

Abstract

Background and Objectives: Frail patients after open-heart surgery often experience worse treatment outcomes in improving physical performance and muscle strength. As the functional recovery of frail patients after open-heart surgery is slower, conventional rehabilitation is frequently insufficient to achieve treatment goals. Therefore, the [...] Read more.

Background and Objectives: Frail patients after open-heart surgery often experience worse treatment outcomes in improving physical performance and muscle strength. As the functional recovery of frail patients after open-heart surgery is slower, conventional rehabilitation is frequently insufficient to achieve treatment goals. Therefore, the inclusion of additional exercise interventions in cardiac rehabilitation is becoming more relevant. The aim of this study was to assess and compare the effectiveness of additional exercise interventions—multicomponent and computer-based programs—applied along with conventional cardiac rehabilitation in improving the functional capacity and strength of frail patients after open-heart surgery. Materials and Methods: The population of this single-center, three-arm, parallel-group, randomized controlled trial comprised 153 frail patients aged more than 65 years who underwent open-heart surgery. All patients were randomized into three groups: control (CG, n = 51), intervention 1 (IG-1, n = 51), and intervention 2 (IG-2, n = 51). All groups received conventional rehabilitation program six times/week, while the IG-1 additionally received the multicomponent dynamic training program 3 times/week, and the IG-2, the combined computer-based program 3 times/week. The primary outcome measure was change in the Short Physical Performance Battery (SPPB) score. Secondary outcome measures included the 6 min walk distance (6MWD), peak workload, grip strength, and leg press. Primary and secondary outcome measures were assessed before and after cardiac rehabilitation. Results: A total of 138 patients completed rehabilitation (46 in each group), and their data were included in the main analysis that followed a per-protocol approach. Although significant differences in the primary outcome—the SPPB score—were found in each group while performing within-group comparisons (p < 0.001), no significant pre-to-post rehabilitation differences were observed compared to all three groups (p = 0.939), and the effect sizes were small. Regarding secondary outcome measures, within-group comparison revealed significant differences in all parameters of all groups (p < 0.05), except for the grip strength of both hands in the IG-1. Between-group comparisons showed that the pre-to-post 6MWD difference between the CG and the IG-1 was significant (p = 0.014), but the effect size was small (ES = 0.240). Moreover, significant pre-and-post leg press 1RM differences (p < 0.001) were found between the CG and the IG-1 as well as between the CG and the IG-2 with the effect sizes being moderate (ES = 0.480) and large (ES = 0.613), respectively. Conclusions: Within-group comparison showed that all three rehabilitation programs are effective in improving almost all parameters of physical performance and muscle strength in frail patients after open-heart surgery. However, between-group comparisons indicated that computer-based interventions were more effective in improving leg press 1RM with a large effect size, while multicomponent training resulted in more effective gains in the 6MWD, although with a small effect size. These findings suggest that in clinical practice, computer-based exercise programs may be more suitable for patients with muscle weakness, while multicomponent exercise programs may be for those with reduced endurance. Full article

(This article belongs to the Special Issue Cardiovascular Disease: From Clinical Diagnosis to Management and Treatment)

22 pages, 502 KB

Open AccessArticle

The Effect of Hippotherapy Simulator-Assisted Therapy on Motor and Functional Outcomes in Children with Cerebral Palsy

by Canan Günay Yazıcı, Fatih Özden, Osman Çoban, Devrim Tarakçı, Onur Aydoğdu and Zübeyir Sarı

Medicina 2025, 61(10), 1811; https://doi.org/10.3390/medicina61101811 - 9 Oct 2025

Abstract

Background and Objectives: Horse riding simulators (HRS) provide rhythmic, repetitive, and multidirectional movements analogous to horseback riding, which may facilitate postural control, balance, and functional abilities in children with cerebral palsy (CP). This study aimed to investigate the effects of the HRS [...] Read more.

Background and Objectives: Horse riding simulators (HRS) provide rhythmic, repetitive, and multidirectional movements analogous to horseback riding, which may facilitate postural control, balance, and functional abilities in children with cerebral palsy (CP). This study aimed to investigate the effects of the HRS application on the muscle tone of the lower extremity, gross motor function, trunk postural control, balance, gait functions, and functional independence in children with CP. Materials and Methods: A quasi-experimental study included 30 children with cerebral palsy (17 hemiparetic, 13 diparetic; mean age, 9.3 ± 3.2 years). All participants received Neurodevelopmental Therapy (NDT) for eight weeks, followed by eight weeks of HRS plus NDT, in a sequential design. Outcomes included the Modified Ashworth Scale (MAS), Myoton^®PRO, Gross Motor Function Measures (GMFM)-88, Pedalo^® Sensamove Balance Test (Pedalo^® SBT), Pediatric Balance Scale (PBS), Trunk Impairment Scale (TIS), gait analysis parameters, and Functional Independence Measure (WeeFIM). Assessments were made at baseline, the 8th, and the 16th week. Results: At week 16, after incorporating HRS, all MAS parameters demonstrated greater improvements compared to those achieved during the first eight weeks of NDT alone (ES: 0.728–0.931, p < 0.05). Myoton^®PRO measurements showed a significant reduction in gastrocnemius stiffness (ES = 0.672, p < 0.05) in hemiparetic children and decreases in hip adductor (ES: 0.649, p < 0.05) and gastrocnemius-soleus (ES: 0.766–0.865, p < 0.05) stiffness from week 8 to 16 in diparetic children following HRS intervention. Total scores on the GMFM-88, WeeFIM, TIS, and PBS improved significantly, with large effect sizes observed both from baseline to week 16 and from week 8 to 16 (ES: 0.771–0.886, p < 0.05). Additionally, Pedalo^® SBT scores increased following HRS intervention from baseline to week 16 (ES = 0.599–0.602, p < 0.05). Conclusions: HRS integrated with conventional NDT may improve muscle tone, motor function, balance, gait, and functional independence in children with cerebral palsy, representing a valuable adjunct to standard rehabilitation. These findings provide the first evidence that simulator-assisted interventions may benefit daily activities in children with cerebral palsy. Full article

(This article belongs to the Section Pediatrics)

16 pages, 3934 KB

Open AccessArticle

PUM1 in Breast Cancer: Tumor Expression and Prognostic and Predictive Significance

by Abrar I. Aljohani

Medicina 2025, 61(10), 1810; https://doi.org/10.3390/medicina61101810 - 9 Oct 2025

Abstract

Background and Objectives: Breast cancer (BC) is a complex disease requiring a comprehensive treatment approach due to its diverse characteristics. Critical molecular determinants of BC have been identified using advanced genomic, transcriptomic, and proteomic approaches. Assessing the biomarkers associated with the onset [...] Read more.

Background and Objectives: Breast cancer (BC) is a complex disease requiring a comprehensive treatment approach due to its diverse characteristics. Critical molecular determinants of BC have been identified using advanced genomic, transcriptomic, and proteomic approaches. Assessing the biomarkers associated with the onset of early-stage BC may help identify the risk of metastasis and inform treatment decisions. A previous bioinformatic analysis using two large BC cohorts identified pumilio RNA binding family member 1 (PUM1) as a key gene in invasive BC. However, no study has yet examined the prognostic and predictive value of PUM1 in invasive BC and its correlation with aggressive tumor behavior. This study aimed to fill this need. Materials and Methods: Correlations between PUM1 expression and patients’ clinicopathological characteristics and outcomes were explored in publicly available BC transcriptomic data acquired using DNA microarrays (n = 10,872) and RNA sequencing (n = 4421) using BC Gene-Expression Miner v5.0. PUM1 expression in samples from 100 patients with invasive BC at King Abdul Aziz Specialist Hospital, Saudi Arabia, was assessed immunohistochemically. Correlations between PUM1 expression and patients’ clinicopathological characteristics (e.g., age, tumor grade, tumor size, and outcome) were assessed. The online platform ROC Plotter was also used to investigate the predictive significance of PUM1. Results: High PUM1 gene and protein expression correlated positively with aggressive features of BC, including high histological grade, high Ki-67 expression, negative hormone receptors, and the triple-negative BC molecular subtype. High PUM1 expression correlated with poor outcomes, and high PUM1 expression was associated with a lower pathological complete response to anti-endocrine treatment but a high response to chemotherapy. Conclusions: These results indicate that PUM1 may serve as a potential prognostic and predictive biomarker in patients with invasive BC. PUM1 may serve as a therapeutic target in BC cases with unfavorable prognoses. However, further validation in larger, multi-center cohorts and further functional assessment are required to deepen our understanding of PUM1’s role in BC. Full article

(This article belongs to the Section Oncology)

13 pages, 437 KB

Open AccessArticle

Low-Dose Subarachnoid Anesthesia Combined with PENG and FLCN Blocks Reduces Hypotensive Episodes Without Compromising Anesthetic Depth and Duration in Hip Fracture Surgery: A Retrospective Observational Study

by Daniel Salgado-García, Agustín Díaz-Álvarez, José L. González-Rodríguez, María R. López-Iglesias, Eduardo Sánchez-López, Manuel J. Sánchez-Ledesma and María I. Martínez-Trufero

Medicina 2025, 61(10), 1808; https://doi.org/10.3390/medicina61101808 - 9 Oct 2025

Abstract

Background and Objectives: In the context of hip fracture surgeries, episodes of hypotension are common, and have been associated in various studies with increased complications and mortality. The latest clinical guidelines recommend close hemodynamic management. Our research team hypothesized that the use [...] Read more.

Background and Objectives: In the context of hip fracture surgeries, episodes of hypotension are common, and have been associated in various studies with increased complications and mortality. The latest clinical guidelines recommend close hemodynamic management. Our research team hypothesized that the use of peripheral nerve blocks in this surgery could help adjust the doses of subarachnoid anesthesia for these procedures, thereby limiting the hypotensive episodes, without compromising an adequate depth and duration of intraoperative anesthesia. Materials and Methods: A retrospective study of 184 elderly patients undergoing hip fracture surgery is proposed. In total, 76 patients were operated under subarachnoid anesthesia using 9.5 mg of hyperbaric bupivacaine 0.5% and 10 mcg of fentanyl (Group S), while 108 received a reduced dose of 5 mg hyperbaric bupivacaine 0.5% and 10 mcg of fentanyl, supplemented by preoperative PENG and FLCN blocks (Group B). The main outcome of this study is to compare the number and duration of hypotensive episodes, and its secondary outcome is to compare the use of vasoactive drugs between the groups. Results: The number of hypotensive episodes and their duration were lower in Group B: −12.94 min (−8.57 to −18.03, p = 0.000). The consumption of vasoactive drugs did not reach statistical significance. None of the patients in Group B required supplementary intraoperative anesthesia. Conclusions: Reducing the dose in subarachnoid anesthesia is associated with better hemodynamic control in hip fracture surgeries, and PENG + NFCL blocks are proposed as an appropriate adjunct to ensure adequate anesthetic depth and duration despite a substantial subarachnoid anesthesia dose adjustment. Full article

(This article belongs to the Special Issue Techniques, Risks and Recovery of Hip Surgery)

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22 pages, 7228 KB

Open AccessArticle

Residual Stress Prediction of Internal Helical Gear Profile Grinding Based on FEA and RBF Neural Network

by Mingyu Li, Jianwen Wang and Jianxin Su

Modelling 2025, 6(4), 122; https://doi.org/10.3390/modelling6040122 - 9 Oct 2025

Abstract

As one of the most important finishing machining means of internal helical gear, the residual stress that appears during profile grinding plays an important role in transmission performance and the service internal helical gear. In this research, the residual stress simulation model of [...] Read more.

As one of the most important finishing machining means of internal helical gear, the residual stress that appears during profile grinding plays an important role in transmission performance and the service internal helical gear. In this research, the residual stress simulation model of internal helical gear profile grinding is established to optimize and predict grinding parameters by means of a neural network. The grinding process parameters (including grinding depth, grinding feed speed, and grinding wheel linear speed) are taken as variable factors. Through experimental verification, the maximum error of the simulation value is 12.8%. The radial basis function (RBF) neural network is introduced, and simulation data samples are used to train and test the residual stress prediction model. Three groups of unknown grinding parameters are predicted, and the relative errors between the predicted and measured values are 5.16%, 1.63%, and 3.39%, respectively. The results demonstrate that the RBF neural network residual stress prediction model proposed in this paper is accurate and feasible. At the same time, the residual stress prediction method provides a theoretical basis for optimizing and controlling the precision of internal helical gear profile grinding. Full article

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21 pages, 2144 KB

Open AccessArticle

Effect of Surface Treatments on Interlaminar Strength of an FML Formed by Basalt Fiber/Polyester Composite and Al 3003-H14 Sheets Manufactured via Combined VARTM and Vacuum Bagging Processes

by Cesar Alfonso Cortes-Tejada, Honorio Ortíz-Hernández, Marco Antonio García-Bernal, Gabriela Lourdes Rueda-Morales, Hilario Hernández-Moreno, Víctor Manuel Sauce-Rangel and Alexander Morales-Gómez

J. Manuf. Mater. Process. 2025, 9(10), 331; https://doi.org/10.3390/jmmp9100331 - 9 Oct 2025

Abstract

Metal/composite interfacial interactions are critical to the mechanical performance of Fiber Metal Laminates (FMLs). In this study, the feasibility of successively combining Vacuum-Assisted Resin Transfer Molding (VARTM) and Vacuum Bagging (VB) was investigated, a strategy that has not been reported in the literature [...] Read more.

Metal/composite interfacial interactions are critical to the mechanical performance of Fiber Metal Laminates (FMLs). In this study, the feasibility of successively combining Vacuum-Assisted Resin Transfer Molding (VARTM) and Vacuum Bagging (VB) was investigated, a strategy that has not been reported in the literature for the fabrication of FMLs with 2/1 stacking configuration, using low-cost 3003-H14 aluminum alloy. The substrate was surface modified through mechanical abrasion and chemical etching in an ultrasonic bath with a 0.1 M NaOH solution, varying the exposure time (20, 40, and 60 min). These surfaces were characterized by optical microscopy and atomic force microscopy (AFM), conducting both qualitative and quantitative analyses of the two- and three-dimensional surface features associated with pore morphology. Additionally, their effects on interlaminar strength and Mode I failure modes of the adhesive joint at the metal/composite interface were evaluated. Micrographs of the surface variants revealed a systematic evolution of the metallic microstructure. The T-peel tests demonstrated that the microstructural features influenced the interlaminar behavior. The 40 min treatment exhibited the highest initial peak force (26.4 N) and the highest average peel force (12.4 N), with a predominantly cohesive mixed-mode failure, representing the most favorable configuration for maximizing adhesion at the metal/composite interface. Full article

(This article belongs to the Special Issue Design and Manufacturing of Lightweight Materials Process and Structures)

37 pages, 5762 KB

Open AccessArticle

Fast Adaptive Approximate Nearest Neighbor Search with Cluster-Shaped Indices

by Vladimir Kazakovtsev, Mikhail Plekhanov, Alexandr Naumchev, Guzel Shkaberina, Igor Masich, Lyudmila Egorova, Alena Stupina, Aleksey Popov and Lev Kazakovtsev

Big Data Cogn. Comput. 2025, 9(10), 254; https://doi.org/10.3390/bdcc9100254 - 9 Oct 2025

Abstract

In this study, we propose a novel adaptive algorithm for approximate nearest neighbor (ANN) search, based on the inverted file (IVF) index (cluster-based index) and online query complexity classification. The concept of the classical IVF search implemented in vector databases is as follows: [...] Read more.

In this study, we propose a novel adaptive algorithm for approximate nearest neighbor (ANN) search, based on the inverted file (IVF) index (cluster-based index) and online query complexity classification. The concept of the classical IVF search implemented in vector databases is as follows: all data vectors are divided into clusters, and each cluster is assigned to its central point (centroid). For an ANN search query, the closest centroids are determined, and the further search continues in the corresponding clusters only. In our study, the complexity of each query is assessed and classified with the use of results of an initial trial search in a limited number of clusters. Based on this classification, the algorithm dynamically determines the presumably sufficient number of clusters which is sufficient to achieve the desired Recall value, thereby improving vector search efficiency. Our experiments show that such a complexity classifier can be built with the use of a single feature, and we propose an algorithm for its training. We studied the impact of various features on the query processing and discovered a strong dependence on the number of clusters that contains at least one nearest neighbor (productive clusters). The new algorithm is designed to be implemented on top of the IVF search which is a well-known algorithm for approximate nearest neighbor search and uses existing IVF indexes that are widely used in the most popular vector database management systems, such as pgvector. The results obtained demonstrate a significant increase in the speed of nearest neighbor search (up to 35%) while maintaining a high Recall rate of 0.99. Additionally, the search algorithm is deterministic, which might be extremely important for tasks where the reproducibility of results plays a crucial role. The developed algorithm has been tested on datasets of varying sizes up to one billion data vectors. Full article

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18 pages, 2990 KB

Open AccessArticle

CoFeNi-Layered Double Hydroxide Combined Activation of PMS and Ozone for the Degradation of Rhodamine B in Water

by Xiaohan Zhu, Liang Song and Jia Miao

Separations 2025, 12(10), 276; https://doi.org/10.3390/separations12100276 - 9 Oct 2025

Abstract

The development of efficient and sustainable advanced oxidation processes (AOPs) for organic pollutant removal is of great significance for water purification. In this study, a CoFeNi-layered double hydroxide (CoFeNi-LDH) catalyst was synthesized and applied for the simultaneous activation of peroxymonosulfate (PMS) and ozone [...] Read more.

The development of efficient and sustainable advanced oxidation processes (AOPs) for organic pollutant removal is of great significance for water purification. In this study, a CoFeNi-layered double hydroxide (CoFeNi-LDH) catalyst was synthesized and applied for the simultaneous activation of peroxymonosulfate (PMS) and ozone to degrade rhodamine B (RhB) in aqueous solution. The CoFeNi-LDH/PMS/ozone system achieved a remarkable RhB removal efficiency of 95.2 ± 1.2% within 8 min under neutral pH conditions. Systematic parametric studies revealed that synergistic interactions among CoFeNi-LDH, PMS, and ozone contributed to the generation of reactive oxygen species (ROS), primarily sulfate radicals (SO₄^•−) and singlet oxygen (¹O₂), as confirmed by EPR and quenching experiments. Density functional theory (DFT) calculations demonstrated that ozone enhanced PMS adsorption and activation at CoFeNi catalytic sites. The catalyst exhibited robust magnetic recyclability and structural stability after repeated use. This work highlights a synergistic catalytic strategy for PMS/ozone activation, offering an effective and environmentally friendly platform for dye wastewater remediation. Full article

(This article belongs to the Special Issue Photocatalytic Oxidation and Advanced Oxidation Processes for Sustainable Water Treatment)

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