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29 pages, 3563 KiB

Open AccessArticle

Assessment of Hydrogels for Intra-Articulate Application, Based on Sodium Hyaluronate Doped with Synthetic Polymers and Incorporated with Diclofenac Sodium

by Dorota Wójcik-Pastuszka, Maja Grabara and Witold Musiał

Int. J. Mol. Sci. 2025, 26(15), 7631; https://doi.org/10.3390/ijms26157631 (registering DOI) - 6 Aug 2025

Abstract

The intra-articular application of drugs has gained considerable interest with regard to formulations for advanced drug delivery systems. It has been identified as a potential route for local drug delivery. A drug agent is usually incorporated into the hydrogel to prolong and control [...] Read more.

The intra-articular application of drugs has gained considerable interest with regard to formulations for advanced drug delivery systems. It has been identified as a potential route for local drug delivery. A drug agent is usually incorporated into the hydrogel to prolong and control the drug release. This study aimed to design and evaluate an intra-articular hydrogel based sodium hyaluronate, which was modified with an additional polymer to enable the sustained release of the incorporated anti-inflammatory agent, diclofenac sodium (NaDic). Viscosity studies, drug release tests and FTIR−ATR measurements, as well as DSC analysis, were carried out to evaluate the obtained formulations. The viscosity measurements were performed using a rotational viscometer. The drug release was carried out by employing the apparatus paddle over the disk. The concentration of the released drug was obtained spectrophotometrically. The results revealed that the addition of the second polymer to the matrix influenced the dynamic viscosity of the hydrogels. The highest viscosity of (25.33 ± 0.55) × 10³ cP was observed when polyacrylic acid (PA) was doped in the formulation. This was due to the hydrogen bond formation between both polymers. The FTIR−ATR investigations and DSC study revealed the hydrogen bond formation between the drug and both polymers. The drug was released the slowest from hydrogel doped with PA and 17.2 ± 3.7% of NaDic was transported to the acceptor fluid within 8 h. The hydrogel based on hyaluronan sodium doped with PA and containing NaDic is a promising formulation for the prolonged and controlled intra-articulate drug delivery of anti-inflammatory agents. Full article

(This article belongs to the Special Issue New Insights into Hyaluronan in Human Medicine)

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31 pages, 1726 KiB

Open AccessArticle

The Effects of Artificial UV-B Provision on Positional Sleeping Behaviour and Vitamin D₃ Metabolites of Captive Aye-Ayes (Daubentonia madagascariensis)

by Danielle Walker, Paige Bwye and Sarah Richdon

J. Zool. Bot. Gard. 2025, 6(3), 39; https://doi.org/10.3390/jzbg6030039 - 6 Aug 2025

Abstract

Zoological environments aim to promote natural behaviours and optimal welfare conditions. Over the past decade, research on the use of artificial ultraviolet-B (UV-B) exposure has improved vitamin D₃ levels and reduced incidences of metabolic bone disease in diurnal primates; however, this has [...] Read more.

Zoological environments aim to promote natural behaviours and optimal welfare conditions. Over the past decade, research on the use of artificial ultraviolet-B (UV-B) exposure has improved vitamin D₃ levels and reduced incidences of metabolic bone disease in diurnal primates; however, this has not been investigated in nocturnals. Aye-ayes (Daubentonia madagascariensis), nocturnal lemurs often housed indoors in zoos with little to no exposure to natural sunlight, have been reported to have low vitamin D₃ levels. This study aims to investigate the impacts of artificial UV-B as a supplemental healthcare strategy for aye-ayes, examining its influences on vitamin D₃ levels and positional sleeping behaviour. The 25-hydroxy-vitamin D₃ (25OHD₃) blood levels were tested before and after exposure to different levels of artificial UV-B and heat sources. Statistical analysis showed no correlation between UV-B and 25OHD₃ at group parameter levels. However, one individual showed a positive correlation. Sleeping position duration analysis showed a potential basking behaviour with the use of increased ear exposure and other thermoregulatory responses. Despite representing 8.06% of the European captive aye-aye population, these findings highlight the need for further research on vitamin D₃ parameters and responses to UV-B to optimise captive conditions and support the species’ long-term health. Full article

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102 pages, 29310 KiB

Open AccessArticle

“We Begin in Water, and We Return to Water”: Track Rock Tradition Petroglyphs of Northern Georgia and Western North Carolina

by Johannes H. Loubser

Arts 2025, 14(4), 89; https://doi.org/10.3390/arts14040089 (registering DOI) - 6 Aug 2025

Abstract

Petroglyph motifs from 23 sites and 37 panels in northern Georgia and western North Carolina foothills and mountains are analyzed within their archaeological, ethnographic, and landscape contexts. The Track Rock Tradition comprises 10 chronologically sequenced marking categories: (1) Cupules/Meanders/Open Circles; (2) Soapstone Extraction [...] Read more.

Petroglyph motifs from 23 sites and 37 panels in northern Georgia and western North Carolina foothills and mountains are analyzed within their archaeological, ethnographic, and landscape contexts. The Track Rock Tradition comprises 10 chronologically sequenced marking categories: (1) Cupules/Meanders/Open Circles; (2) Soapstone Extraction cars; (3) Vulva Shapes; (4) Figures; (5) Feet/Hands/Tracks; (6) Nested Circles; (7) Cross-in-Circles; (8) Spirals; (9) Straight Lines; and (10) Thin Incised Lines. Dating spans approximately 3800 years. Early cupules and meanders predate 3000 years ago, truncated by Late Archaic soapstone extraction. Woodland period (3000–1050 years ago) motifs include vulva shapes, figures, feet, tracks, and hands. Early Mississippian concentric circles date to 1050–600 years ago, while Middle Mississippian cross-in-circles span 600–350 years ago. Late Mississippian spirals (350–200 years ago) and post-contact metal tool incisions represent the most recent phases. The Track Rock Tradition differs from western Trapp and eastern Hagood Mill traditions. Given the spatial overlap with Iroquoian-speaking Cherokee territory, motifs are interpreted through Cherokee beliefs, supplemented by related Muskogean Creek ethnography. In Cherokee cosmology, the matrilocal Thunderers hierarchy includes the Female Sun/Male Moon, Selu (Corn Mother)/Kanati (Lucky Hunter), Medicine Woman/Judaculla (Master of Game), and Little People families. Ritual practitioners served as intermediaries between physical and spirit realms through purification, fasting, body scratching, and rock pecking. Meanders represent trails, rivers, and lightning. Cupules and lines emphasize the turtle appearance of certain rocks. Vulva shapes relate to fertility, while tracks connect to life-giving abilities. Concentric circles denote townhouses; cross-in-circles and spirals represent central fires. The tradition shows continuity in core beliefs despite shifting emphases from hunting (Woodland) to corn cultivation (Mississippian), with petroglyphs serving as necessary waypoints for spiritual supplicants. Full article

(This article belongs to the Special Issue Advances in Rock Art Studies)

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18 pages, 655 KiB

Open AccessArticle

Examining Consumer Impulsive Purchase Intention in Virtual AI Streaming: A S-O-R Perspective

by Tao Zhou and Songtao Li

J. Theor. Appl. Electron. Commer. Res. 2025, 20(3), 204; https://doi.org/10.3390/jtaer20030204 (registering DOI) - 6 Aug 2025

Abstract

Virtual AI-driven streamers have been gradually used in live commerce, and they may affect consumer impulsive purchase intention. Drawing on the stimulus–organism–response (S-O-R) model, this research examined consumer impulsive purchase intention in virtual AI streaming. Based on survey data from 411 predominantly young [...] Read more.

Virtual AI-driven streamers have been gradually used in live commerce, and they may affect consumer impulsive purchase intention. Drawing on the stimulus–organism–response (S-O-R) model, this research examined consumer impulsive purchase intention in virtual AI streaming. Based on survey data from 411 predominantly young and educated virtual AI streaming users recruited through snowball sampling, we found that perceived responsiveness, perceived likeability, perceived expertise, and perceived anthropomorphism of virtual AI streamers are associated with trust and flow experience, both of which predict consumers’ impulsive purchase intentions. The fsQCA identified two paths that lead to impulsive purchase intention. The results imply that live streaming platforms need to engender consumers’ trust and flow experience in order to increase their impulsive purchase intention. Full article

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30 pages, 5262 KiB

Open AccessArticle

Alternative Hydraulic Modeling Method Based on Recurrent Neural Networks: From HEC-RAS to AI

by Andrei Mihai Rugină

Hydrology 2025, 12(8), 207; https://doi.org/10.3390/hydrology12080207 (registering DOI) - 6 Aug 2025

Abstract

The present study explores the application of RNNs for the prediction and propagation of flood waves along a section of the Bârsa River, Romania, as a fast alternative to classical hydraulic models, aiming to identify new ways to alert the population. Five neural [...] Read more.

The present study explores the application of RNNs for the prediction and propagation of flood waves along a section of the Bârsa River, Romania, as a fast alternative to classical hydraulic models, aiming to identify new ways to alert the population. Five neural architectures were analyzed as follows: S-RNN, LSTM, GRU, Bi-LSTM, and Bi-GRU. The input data for the neural networks were derived from 2D hydraulic simulations conducted using HEC-RAS software, which provided the necessary training data for the models. It should be mentioned that the input data for the hydraulic model are synthetic hydrographs, derived from the statistical processing of recorded floods. Performance evaluation was based on standard metrics such as NSE,

R^{2}

MSE, and RMSE. The results indicate that all studied networks performed well, with NSE and

R^{2}

values close to 1, thus validating their capacity to reproduce complex hydrological dynamics. Overall, all models yielded satisfactory results, making them useful tools particularly the GRU and Bi-GRU architectures, which showed the most balanced behavior, delivering low errors and high stability in predicting peak discharge, water level, and flood wave volume. The GRU and Bi-GRU networks yielded the best performance, with RMSE values below 1.45, MAE under 0.3, and volume errors typically under 3%. On the other hand, LSTM architecture exhibited the most significant instability and errors, especially in estimating the flood wave volume, often having errors exceeding 9% in some sections. The study concludes by identifying several limitations, including the heavy reliance on synthetic data and its local applicability, while also proposing solutions for future analyses, such as the integration of real-world data and the expansion of the methodology to diverse river basins thus providing greater significance to RNN models. The final conclusions highlight that RNNs are powerful tools in flood risk management, contributing to the development of fast and efficient early warning systems for extreme hydrological and meteorological events. Full article

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16 pages, 469 KiB

Open AccessArticle

An Adaptation of the Quality–Loyalty Model to Study Green Consumer Loyalty

by Thi Hoang Ha Tran and Tuan Le-Anh

Sustainability 2025, 17(15), 7144; https://doi.org/10.3390/su17157144 (registering DOI) - 6 Aug 2025

Abstract

This research proposes an adaptation of the quality–loyalty model in which affective commitment is integrated as a key factor in the proposed framework. The study presented a comprehensive framework encompassing 11 hypotheses formulated from an extensive literature review. Empirical data collected from 679 [...] Read more.

This research proposes an adaptation of the quality–loyalty model in which affective commitment is integrated as a key factor in the proposed framework. The study presented a comprehensive framework encompassing 11 hypotheses formulated from an extensive literature review. Empirical data collected from 679 environmentally conscious consumers predominantly residing in Vietnam’s three principal urban centers were employed to evaluate these hypotheses. The assessment was executed utilizing the partial least squares structural equation modeling technique. The results of this research authenticate the appropriateness of the integrated model in studying green consumption, verify the critical role of affective commitment in the newly introduced model, and identify the high impact of affective commitment on green loyalty intention and green purchase behavior. This research also shows that other factors of the quality–loyalty model have significant influences on affective commitment and green loyalty intention. Moreover, this study signifies the crucial role of green perceived quality in fostering affective commitment and green loyalty intention. Green perceived quality was identified as a key factor influencing green loyalty intention and played a crucial role in encouraging customers to purchase environmentally friendly products. Full article

(This article belongs to the Section Psychology of Sustainability and Sustainable Development)

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18 pages, 2279 KiB

Open AccessArticle

MvAl-MFP: A Multi-Label Classification Method on the Functions of Peptides with Multi-View Active Learning

by Yuxuan Peng, Jicong Duan, Yuanyuan Dan and Hualong Yu

Curr. Issues Mol. Biol. 2025, 47(8), 628; https://doi.org/10.3390/cimb47080628 (registering DOI) - 6 Aug 2025

Abstract

The rapid expansion of peptide libraries and the increasing functional diversity of peptides have highlighted the significance of predicting the multifunctional properties of peptides in bioinformatics research. Although supervised learning methods have made advancements, they typically necessitate substantial amounts of labeled data for [...] Read more.

The rapid expansion of peptide libraries and the increasing functional diversity of peptides have highlighted the significance of predicting the multifunctional properties of peptides in bioinformatics research. Although supervised learning methods have made advancements, they typically necessitate substantial amounts of labeled data for yielding accurate prediction. This study presents MvAl-MFP, a multi-label active learning approach that incorporates multiple feature views of peptides. This method takes advantage of the natural properties of multi-view representation for amino acid sequences, meets the requirement of the query-by-committee (QBC) active learning paradigm, and further significantly diminishes the requirement for labeled samples while training high-performing models. First, MvAl-MFP generates nine distinct feature views for a few labeled peptide amino acid sequences by considering various peptide characteristics, including amino acid composition, physicochemical properties, evolutionary information, etc. Then, on each independent view, a multi-label classifier is trained based on the labeled samples. Next, a QBC strategy based on the average entropy of predictions across all trained classifiers is adopted to select a specific number of most valuable unlabeled samples to submit them to human experts for labeling by wet-lab experiments. Finally, the aforementioned procedure is iteratively conducted with a constantly expanding labeled set and updating classifiers until it meets the default stopping criterion. The experiments are conducted on a dataset of multifunctional therapeutic peptides annotated with eight functional labels, including anti-bacterial properties, anti-inflammatory properties, anti-cancer properties, etc. The results clearly demonstrate the superiority of the proposed MvAl-MFP method, as it can rapidly improve prediction performance while only labeling a small number of samples. It provides an effective tool for more precise multifunctional peptide prediction while lowering the cost of wet-lab experiments. Full article

(This article belongs to the Special Issue Challenges and Advances in Bioinformatics and Computational Biology)

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21 pages, 903 KiB

Open AccessArticle

Using Pseudo-Complemented Truth Values of Calculation Errors in Integral Transforms and Differential Equations Through Monte Carlo Algorithms

by Ravi A. Salim, Ernastuti, Edi Sukirman, Trini Saptariani and Suryadi MT

Mathematics 2025, 13(15), 2534; https://doi.org/10.3390/math13152534 (registering DOI) - 6 Aug 2025

Abstract

This study aims to demonstrate how mathematics, especially calculus concepts, can be expanded to include semi-entities and how these can be applied to sampling activities. Here, the multivalued logic uses pseudo-complemented lattices, instead of Boolean algebras. Truth values can express the intensity of [...] Read more.

This study aims to demonstrate how mathematics, especially calculus concepts, can be expanded to include semi-entities and how these can be applied to sampling activities. Here, the multivalued logic uses pseudo-complemented lattices, instead of Boolean algebras. Truth values can express the intensity of a property: for example, the property of being heavy intensifies as weight increases. They can also express the state-of-the-art knowledge of an individual about a certain thing. To express that a number 𝑥 approaches 𝑎 is to say that the statement “𝑥 = 𝑏” is not fully true but approaches the full-true value as 𝑏 − 𝑎 approaches zero. This approach generalizes the concept of a limit and the concepts derived from it, such as differentiation and integration. A Monte Carlo algorithm replaces one function with another with finite domain, preferably its finite part, by sampling the domain and calculating its map. The discussion extends to integration over an unbounded interval, integral transforms, and differential equations. This study then covers strategies for producing Monte Carlo estimates of respective problems and determining their crucial truth values. In the discussion, a topic related to axiomatizing set theory is also suggested. Full article

17 pages, 265 KiB

Open AccessArticle

Who I Am, and Why That Matters

by Louise Rak, Elsie Randall, Meaghan Katrak-Harris and Tamara Blakemore

Youth 2025, 5(3), 83; https://doi.org/10.3390/youth5030083 - 6 Aug 2025

Abstract

Where we find and form identity and belonging, meaning and purpose, is often entangled in the dynamics that play out between people and place, and for Aboriginal and Torres Strait Islander Peoples, the legacy and ongoing experience of invasion and colonisation. Place-based understandings [...] Read more.

Where we find and form identity and belonging, meaning and purpose, is often entangled in the dynamics that play out between people and place, and for Aboriginal and Torres Strait Islander Peoples, the legacy and ongoing experience of invasion and colonisation. Place-based understandings of identity and its importance in shaping young people’s experience of what is possible and probable in their futures might be critical to framing cross-cultural work with young people impacted by violence and trauma. This paper draws on practitioner reflections of work with young Aboriginal women both on, and off Country, highlighting common and distinct themes related to identity formation and migration in navigating new futures. These include connection to Country and spiritual connection, family and kinship relationships, Women’s Business and felt cultural safety. The findings illustrate a meaningful parallel instructive to practice; for both young women and practitioners, access to cultural knowledge and connection is strengthened by endorsement and in turn strengthens understanding and experienced safety. This work emphasises the importance of creating culturally connected opportunities, sensitive to dynamics of place, to support positive identity expression and wellbeing. Full article

(This article belongs to the Special Issue Supporting Youth: Strengthening Cultural Identity and Promoting Social Justice)

17 pages, 10110 KiB

Open AccessArticle

An Integrated Network Pharmacology, Molecular Docking, Molecular Dynamics Simulation, and Experimental Validation Study to Investigate the Potential Mechanism of Isoliquiritigenin in the Treatment of Ischemic Stroke

by Hang Yuan, Yuting Hou, Yuan Jiao, Xin Lu and Liang Liu

Curr. Issues Mol. Biol. 2025, 47(8), 627; https://doi.org/10.3390/cimb47080627 - 6 Aug 2025

Abstract

Isoliquiritigenin (ISL) is a type of chalcone that widely exists in medicinal plants of the Leguminosae family and exhibits a remarkable anti-ischemic stroke (IS) effect. However, the anti-IS mechanisms of ISL remain to be systematically elucidated. In this study, network pharmacology was used [...] Read more.

Isoliquiritigenin (ISL) is a type of chalcone that widely exists in medicinal plants of the Leguminosae family and exhibits a remarkable anti-ischemic stroke (IS) effect. However, the anti-IS mechanisms of ISL remain to be systematically elucidated. In this study, network pharmacology was used to predict potential targets related to the anti-IS effect of ISL. The binding ability of ISL to potential core targets was further analyzed by molecular docking and molecular dynamics (MD) simulations. By establishing an oxygen–glucose deprivation/reoxygenation (OGD/R)-induced HT22 cell model, the anti-IS mechanisms of ISL were investigated via RT-qPCR and Western Blot (WB). As a result, network pharmacology analysis revealed that APP, ESR1, MAO-A, PTGS2, and EGFR may be potential core targets of ISL for anti-IS treatment. Molecular docking and molecular dynamics simulation results revealed that ISL can stably bind to the five potential core targets and form stable complex systems with them. The results of the cell experiments revealed a significant anti-IS effect of ISL. Additionally, mRNA and protein expression levels of APP, MAO-A and PTGS2 or ESR1 in the ISL treatment group were significantly lower or higher than those in the OGD/R group In conclusion, ISL may improve IS by regulating the protein expression levels of APP, ESR1, MAO-A, and PTGS2. Full article

(This article belongs to the Special Issue Cerebrovascular Diseases: From Pathogenesis to Treatment)

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8 pages, 1321 KiB

Open AccessCase Report

Open Reduction and Internal Fixation of a Volar Displaced Salter–Harris III Mallet Fracture in a Pediatric Patient: A Case Report

by Alexander Baur, Taylor Anthony, Keith Lustig and Michael L. Lee

Pediatr. Rep. 2025, 17(4), 82; https://doi.org/10.3390/pediatric17040082 - 6 Aug 2025

Abstract

Introduction: Finger injuries are common in pediatric patients and typically heal well with conservative management. However, rare fracture patterns involving significant displacement and physeal injury, such as the one described in this case, require specialized surgical intervention to ensure proper healing and prevent [...] Read more.

Introduction: Finger injuries are common in pediatric patients and typically heal well with conservative management. However, rare fracture patterns involving significant displacement and physeal injury, such as the one described in this case, require specialized surgical intervention to ensure proper healing and prevent long-term complications. Case Presentation: A 12-year-old left-hand-dominant female presented with pain, swelling, and deformity at the distal interphalangeal (DIP) joint following hyperextension of the left fifth digit. Initial radiographs revealed a volar displaced intra-articular fracture with physis involvement, confirmed by computed tomography (CT) imaging. Conservative management with closed reduction and splinting failed to achieve adequate alignment. Surgical intervention was performed via a dorsal approach, utilizing ORIF with K-wire fixation to restore joint congruity and ensure anatomic alignment. Outcomes: Postoperative follow-up demonstrated satisfactory healing, maintained reduction, and resolution of pain with no complications. The patient regained functional use of the digit with minimal stiffness, and the growth plate remained uninvolved during the recovery period. Discussion: This case underscores the importance of advanced imaging, early referral, and tailored surgical intervention for rare mallet fractures involving volar displacement and physeal injury. ORIF provided reliable stabilization and optimal outcomes in this complex case. Conclusions: Volar displaced Salter–Harris III fractures of the DIP joint are rare and challenging injuries in pediatric patients. This case highlights the role of ORIF in achieving successful outcomes and emphasizes the importance of precise reduction and stabilization to prevent long-term complications. Full article

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9 pages, 417 KiB

Open AccessArticle

Minimally Invasive Off-Pump Coronary Artery Bypass as Palliative Revascularization in High-Risk Patients

by Magdalena Rufa, Adrian Ursulescu, Samir Ahad, Ragi Nagib, Marc Albert, Rafael Ayala, Nora Göbel, Tunjay Shavahatli, Mihnea Ghinescu, Ulrich Franke and Bartosz Rylski

Clin. Pract. 2025, 15(8), 147; https://doi.org/10.3390/clinpract15080147 - 6 Aug 2025

Abstract

Background: In high-risk and frail patients with multivessel coronary artery disease (MV CAD), guidelines indicated complete revascularization with or without the use of cardiopulmonary bypass (CPB) bears a high morbidity and mortality risk. In cases where catheter interventions were deemed unsuitable and conventional [...] Read more.

Background: In high-risk and frail patients with multivessel coronary artery disease (MV CAD), guidelines indicated complete revascularization with or without the use of cardiopulmonary bypass (CPB) bears a high morbidity and mortality risk. In cases where catheter interventions were deemed unsuitable and conventional coronary artery bypass grafting (CABG) posed an unacceptable perioperative risk, patients were scheduled for minimally invasive direct coronary artery bypass (MIDCAB) grafting or minimally invasive multivessel coronary artery bypass grafting (MICS-CABG). We called this approach “palliative revascularization.” This study assesses the safety and impact of palliative revascularization on clinical outcomes and overall survival. Methods: A consecutive series of 57 patients undergoing MIDCAB or MICS-CABG as a palliative surgery between 2008 and 2018 was included. The decision for palliative surgery was met in heart team after carefully assessing each case. The patients underwent single or double-vessel revascularization using the left internal thoracic artery and rarely radial artery/saphenous vein segments, both endoscopically harvested. Inpatient data could be completed for all 57 patients. The mean follow-up interval was 4.2 ± 3.7 years, with a follow-up rate of 91.2%. Results: Mean patient age was 79.7 ± 7.4 years. Overall, 46 patients (80.7%) were male, 26 (45.6%) had a history of atrial fibrillation and 25 (43.9%) of chronic kidney disease. In total, 13 patients exhibited a moderate EuroSCORE II, while 27 were classified as high risk, with a EuroSCORE II exceeding 5%. Additionally, 40 patients (70.2%) presented with three-vessel disease, 17 (29.8%) suffered an acute myocardial infarction within three weeks prior to surgery and 50.9% presented an impaired ejection fraction. There were 48 MIDCAB and nine MICS CABG with no conversions either to sternotomy or to CPB. Eight cases were planned as hybrid procedures and only 15 patients (26.3%) were completely revascularized. During the first 30 days, four patients (7%) died. A myocardial infarction occurred in only one case, no patient necessitated immediate reoperation. The one-, three- and five-year survival rates were 83%, 67% and 61%, respectively. Conclusions: MIDCAB and MICS CABG can be successfully conducted as less invasive palliative surgery in high-risk multimorbid patients with MV CAD. The early and mid-term results were better than predicted. A higher rate of hybrid procedures could improve long-term outcome in selected cases. Full article

20 pages, 319 KiB

Open AccessArticle

Influence of Mass Media on Career Choices of Final-Year High School Students in Brașov County, Romania

by Claudiu Coman, Costel Marian Dalban, Ionela Pitea, Marcel Iordache and Anna Bucs

Journal. Media 2025, 6(3), 126; https://doi.org/10.3390/journalmedia6030126 - 6 Aug 2025

Abstract

This study examines the influence of mass media on the career choices of high school students from Brașov County, Romania, with a focus on their underlying motivational factors. Employing a quantitative design, it draws on data from a standardized questionnaire completed by 1314 [...] Read more.

This study examines the influence of mass media on the career choices of high school students from Brașov County, Romania, with a focus on their underlying motivational factors. Employing a quantitative design, it draws on data from a standardized questionnaire completed by 1314 students from local high schools. Descriptive and inferential statistical methods were used in the analysis. While some students identify mass media as a key source of career guidance, documentaries and career fairs are more frequently cited as trusted sources. Students’ perceptions of mass media are ambivalent: 55.1% see it as manipulative, while 41.7% and 24.7% acknowledge its informative and educational roles. Personal motivation emerges as the most significant influence, with 64.8% guided by individual talents and abilities, compared to a lower influence from family or media role models. Correlational analysis highlights the importance of personal development, creativity, and collaboration in career motivation. This study suggests that mass media indirectly shapes students’ aspirations by reinforcing values like social recognition, mobility, and identity. Finally, it reveals a strong link between career interest and expectations for respectful, stable, and growth-oriented work environments, pointing to a pragmatic orientation toward professional sustainability. Full article

(This article belongs to the Special Issue Emerging Technologies in Communication: Best Practices and Theoretical Frameworks for Professional Success)

20 pages, 718 KiB

Open AccessReview

State of the Art on the Interaction of Entomopathogenic Nematodes and Plant Growth-Promoting Rhizobacteria to Innovate a Sustainable Plant Health Product

by Islam Ahmed Abdelalim Darwish, Daniel P. Martins, David Ryan and Thomais Kakouli-Duarte

Crops 2025, 5(4), 52; https://doi.org/10.3390/crops5040052 - 6 Aug 2025

Abstract

Insect pests cause severe damage and yield losses to many agricultural crops globally. The use of chemical pesticides on agricultural crops is not recommended because of their toxic effects on the environment and consumers. In addition, pesticide toxicity reduces soil fertility, poisons ground [...] Read more.

Insect pests cause severe damage and yield losses to many agricultural crops globally. The use of chemical pesticides on agricultural crops is not recommended because of their toxic effects on the environment and consumers. In addition, pesticide toxicity reduces soil fertility, poisons ground waters, and is hazardous to soil biota. Therefore, applications of entomopathogenic nematodes (EPNs) and plant growth-promoting rhizobacteria (PGPR) are an alternative, eco-friendly solution to chemical pesticides and mineral-based fertilizers to enhance plant health and promote sustainable food security. This review focuses on the biological and ecological aspects of these organisms while also highlighting the practical application of molecular communication approaches in developing a novel plant health product. This insight will support this innovative approach that combines PGPR and EPNs for sustainable crop production. Several studies have reported positive interactions between nematodes and bacteria. Although the combined presence of both organisms has been shown to promote plant growth, the molecular interactions between them are still under investigation. Integrating molecular communication studies in the development of a new product could help in understanding their relationships and, in turn, support the combination of these organisms into a single plant health product. Full article

19 pages, 1835 KiB

Open AccessArticle

Methods for Enhancing Energy and Resource Efficiency in Sunflower Oil Production: A Case Study from Bulgaria

by Penka Zlateva, Angel Terziev, Nikolay Kolev, Martin Ivanov, Mariana Murzova and Momchil Vasilev

Eng 2025, 6(8), 195; https://doi.org/10.3390/eng6080195 - 6 Aug 2025

Abstract

The rising demand for energy resources and industrial goods presents significant challenges to sustainable development. Sunflower oil, commonly utilized in the food sector, biofuels, and various industrial applications, is notably affected by this demand. In Bulgaria, it serves as a primary source of [...] Read more.

The rising demand for energy resources and industrial goods presents significant challenges to sustainable development. Sunflower oil, commonly utilized in the food sector, biofuels, and various industrial applications, is notably affected by this demand. In Bulgaria, it serves as a primary source of vegetable fats, ranking second to butter in daily consumption. The aim of this study is to evaluate and propose methods to improve energy and resource efficiency in sunflower oil production in Bulgaria. The analysis is based on data from an energy audit conducted in 2023 at an industrial sunflower oil production facility. Reconstruction and modernization initiatives, which included the installation of high-performance, energy-efficient equipment, led to a 34% increase in energy efficiency. The findings highlight the importance of adjusting the technological parameters such as temperature, pressure, grinding level, and pressing time to reduce energy use and operational costs. Additionally, resource efficiency is improved through more effective raw material utilization and waste reduction. These strategies not only enhance the economic and environmental performance of sunflower oil production but also support sustainable development and competitiveness within the industry. The improvement reduces hexane use by approximately 2%, resulting in energy savings of 12–15 kWh/t of processed seeds and a reduction in CO₂ emissions by 3–4 kg/t, thereby improving the environmental profile of sunflower oil production. Full article

(This article belongs to the Special Issue Interdisciplinary Insights in Engineering Research)

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29 pages, 1496 KiB

Open AccessArticle

Advanced and Robust Numerical Framework for Transient Electrohydrodynamic Discharges in Gas Insulation Systems

by Philipp Huber, Julian Hanusrichter, Paul Freden and Frank Jenau

Eng 2025, 6(8), 194; https://doi.org/10.3390/eng6080194 - 6 Aug 2025

Abstract

For the precise description of gas physical processes in high-voltage direct current (HVDC) transmission, an advanced and robust numerical framework for the simulation of transient particle densities in the course of corona discharges is developed in this work. The aim is the scalable [...] Read more.

For the precise description of gas physical processes in high-voltage direct current (HVDC) transmission, an advanced and robust numerical framework for the simulation of transient particle densities in the course of corona discharges is developed in this work. The aim is the scalable and consistent modeling of the space charge density under realistic conditions. The core component of the framework is a discontinuous Galerkin method that ensures the conservative properties of the underlying hyperbolic problem. The space charge density at the electrode surface is imposed as a dynamic boundary condition via Lagrange multipliers. To increase the numerical stability and convergence rate, a homotopy approach is also integrated. For the experimental validation, a measurement concept was realised that uses a subtraction method to specifically remove the displacement current component in the signal and thus enables an isolated recording of the transient ion current with superimposed voltage stresses. The experimental results on a small scale agree with the numerical predictions and prove the quality of the model. On this basis, the framework is transferred to hybrid HVDC overhead line systems with a bipolar design. In the event of a fault, significant transient space charge densities can be seen there, especially when superimposed with new types of voltage waveforms. The framework thus provides a reliable contribution to insulation coordination in complex HVDC systems and enables the realistic analysis of electrohydrodynamic coupling effects on an industrial scale. Full article

(This article belongs to the Section Electrical and Electronic Engineering)

16 pages, 2899 KiB

Open AccessArticle

The Coupling Mechanism of the Electricity–Gas System and Assessment of Attack Resistance Based on Interdependent Networks

by Qingyu Zou and Lin Yan

Eng 2025, 6(8), 193; https://doi.org/10.3390/eng6080193 - 6 Aug 2025

Abstract

Natural gas plays a critical role in integrated energy systems. In this context, the present study proposes an optimization model for the electricity–gas coupling system, grounded in the theory of interdependent networks. By integrating network topology parameters with real-time operational metrics, the model [...] Read more.

Natural gas plays a critical role in integrated energy systems. In this context, the present study proposes an optimization model for the electricity–gas coupling system, grounded in the theory of interdependent networks. By integrating network topology parameters with real-time operational metrics, the model substantially enhances system robustness and adaptability. To quantify nodal vulnerability and importance, the study introduces two novel evaluation indicators: the Electric Potential–Closeness Fusion Indicator (EPFI) for power networks and the Pressure Difference–Closeness Comprehensive Indicator (PDCI) for natural gas systems. Leveraging these indicators, three coupling paradigms—assortative, disassortative, and random—are systematically constructed and analyzed. System resilience is assessed through simulation experiments incorporating three attack strategies: degree-based, betweenness centrality-based, and random node removal. Evaluation metrics include network efficiency and the variation in the size of the largest connected subgraph under different coupling configurations. The proposed framework is validated using a hybrid case study that combines the IEEE 118-node electricity network with a 20-node Belgian natural gas system, operating under a unidirectional gas-to-electricity energy flow model. Results confirm that the disassortative coupling configuration, based on EPFI and PDCI indicators, exhibits superior resistance to network perturbations, thereby affirming the effectiveness of the model in improving the robustness of integrated energy systems. Full article

(This article belongs to the Topic Advanced Strategies for Smart Grid Reliability and Energy Optimization)

12 pages, 2525 KiB

Open AccessArticle

A 55 V, 6.6 nV/√Hz Chopper Operational Amplifier with Dual Auto-Zero and Common-Mode Voltage Tracking

by Zhifeng Chen, Yuyan Zhang, Yaguang Yang and Chengying Chen

Eng 2025, 6(8), 192; https://doi.org/10.3390/eng6080192 - 6 Aug 2025

Abstract

For high-voltage signal detection applications, an auto-zero and chopper operational amplifier (OPA) is proposed in this paper. With the auto-zero and chopper technique, the OPA adopts an eight-channel Ping-Pong mechanism to reduce the high-frequency ripple and glitch generated by chopper modulation. The main [...] Read more.

For high-voltage signal detection applications, an auto-zero and chopper operational amplifier (OPA) is proposed in this paper. With the auto-zero and chopper technique, the OPA adopts an eight-channel Ping-Pong mechanism to reduce the high-frequency ripple and glitch generated by chopper modulation. The main transconductor effectively suppresses low-frequency noise and offset by combining input coarse and output fine auto-zero. A common-mode voltage tracking circuit is presented to ensure constant gate-source and gate-substrate voltages of the chopper, which reduces the charge injection caused by threshold voltage drift of their transistors and improves output signal resolution. The OPA is implemented using CMOS 180 nm BCD process. The post-simulation results show that the unit gain bandwidth (UGB) is 2.5 MHz and common-mode rejection ratio (CMRR) is 137 dB when the power supply voltage is 5–55 V. The noise power spectral density (PSD) is 6.6 nV/√Hz, and the offset is about 47 µV. The overall circuit consumes current of 960 µA. Full article

(This article belongs to the Topic Advanced Integrated Circuit Design and Application)

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14 pages, 719 KiB

Open AccessArticle

Recursive Interplay of Family and Biological Dynamics: Adults with Type 1 Diabetes Mellitus Under the Spotlight

by Helena Jorge, Bárbara Regadas Correia, Miguel Castelo-Branco and Ana Paula Relvas

Diabetology 2025, 6(8), 81; https://doi.org/10.3390/diabetology6080081 - 6 Aug 2025

Abstract

Objectives: Diabetes Mellitus involves demanding challenges that interfere with family functioning and routines. In turn, family and social context impacts individual glycemic control. This study aims to identify this recursive interplay, the mutual influences of family systems and diabetes management. Design: Data was [...] Read more.

Objectives: Diabetes Mellitus involves demanding challenges that interfere with family functioning and routines. In turn, family and social context impacts individual glycemic control. This study aims to identify this recursive interplay, the mutual influences of family systems and diabetes management. Design: Data was collected through a cross-sectional design comparing patients, aged 22–55, with and without metabolic control. Methods: Participants filled out a set of self-report measures of sociodemographic, clinical and family systems assessment. Patients (91) were also invited to describe their perception about disease management interference regarding family functioning. We first examined the extent to which family variables grouped dataset to determine if there were similarities and dissimilarities that fit with our initial diabetic groups’ classification. Results: Cluster analysis results identify a two-cluster solution validating initial classification of two groups of patients: 49 with metabolic control (MC) and 42 without metabolic control (NoMC). Independent sample tests suggested statistically significant differences between groups in family subscales- family difficulties and family communication (p < 0.05). Binary logistic regression shed light on predictors of explained variance to no metabolic control, in four models: Sociodemographic, Clinical data, SCORE-15/Congruence Scale and Eating Behavior. Furthermore, groups differ on family support, level and sources of family conflict caused by diabetes management issues. Considering only patients who co-habit with a partner for more than one year (N = 44), NoMC patients score lower on marital functioning in all categories (p < 0.05). Discussion: Family-Chronic illness interaction plays a significant role in a patient’s adherence to treatment. This study highlights the Standards of Medical Care for Diabetes, considering caregivers and family members on diabetes care. Full article

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19 pages, 784 KiB

Open AccessArticle

An Integrative Model Analyzing Revisit Intentions and Behavior in Halal Tourism: Evidence from Indonesia

by Abror Abror, Dina Patrisia, Yunita Engriani, Erly Mulyani, Vanessa Gaffar, Nurman Achmad, Mukhamad Najib, Long Kim and Somnuk Aujirapongpan

Tour. Hosp. 2025, 6(3), 151; https://doi.org/10.3390/tourhosp6030151 - 6 Aug 2025

Abstract

The purpose of this study is to investigate the factors that influence tourist behavior and revisit intentions in the context of halal tourism. The antecedent variables in this study included religiosity, digital halal literacy, halal destination features, contentment, and trust. This is a [...] Read more.

The purpose of this study is to investigate the factors that influence tourist behavior and revisit intentions in the context of halal tourism. The antecedent variables in this study included religiosity, digital halal literacy, halal destination features, contentment, and trust. This is a quantitative study that used travelers that visited halal tourism attractions in West Sumatra, Indonesia, as the sample population. The sample size was 400 respondents. The data were analyzed using the partial least squares–structural equation model (PLS-SEM). We discovered that religiosity is an important predictor of contentment and trust. Satisfaction was achieved through digital halal literacy and halal destination qualities and was found to have a significant influence on trust, tourist behavior, and revisit intentions. Finally, trust was found to have a significant association with intention to revisit and behavior. The results of this research are insightful for managers and policymakers on how to provide halal tourism attributes and analyze tourists’ digital halal literacy that lead to tourist satisfaction. This study also provides further knowledge to policymakers and local authorities on how to promote future tourist participation in halal tourism development in Indonesia; thus, it can help create more tourist returns for further visits to the same location in the future. Full article

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22 pages, 7990 KiB

Open AccessArticle

Detection of Cracks in Low-Power Wind Turbines Using Vibration Signal Analysis with Empirical Mode Decomposition and Convolutional Neural Networks

by Angel H. Rangel-Rodriguez, Jose M. Machorro-Lopez, David Granados-Lieberman, J. Jesus de Santiago-Perez, Juan P. Amezquita-Sanchez and Martin Valtierra-Rodriguez

AI 2025, 6(8), 179; https://doi.org/10.3390/ai6080179 - 6 Aug 2025

Abstract

Condition monitoring and fault detection in wind turbines are essential for reducing repair and maintenance costs. Early detection of faults enables timely interventions before the damage worsens. However, existing methods often rely on costly scheduled inspections or lack the ability to effectively detect [...] Read more.

Condition monitoring and fault detection in wind turbines are essential for reducing repair and maintenance costs. Early detection of faults enables timely interventions before the damage worsens. However, existing methods often rely on costly scheduled inspections or lack the ability to effectively detect early stage damage, particularly under different operational speeds. This article presents a methodology based on convolutional neural networks (CNNs) and empirical mode decomposition (EMD) of vibration signals for the detection of blade crack damage. The proposed approach involves acquiring vibration signals under four conditions: healthy, light, intermediate, and severe damage. EMD is then applied to extract time–frequency representations of the signals, which are subsequently converted into images. These images are analyzed by a CNN to classify the condition of the wind turbine blades. To enhance the final CNN architecture, various image sizes and configuration parameters are evaluated to balance computational load and classification accuracy. The results demonstrate that combining vibration signal images, generated using the EMD method, with CNN models enables accurate classification of blade conditions, achieving 99.5% accuracy while maintaining a favorable trade-off between performance and complexity. Full article

(This article belongs to the Special Issue Artificial Intelligence in Industrial Systems: From Data Acquisition to Intelligent Decision-Making)

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21 pages, 1366 KiB

Open AccessArticle

Liquid-Phase Hydrogenation over a Cu/SiO₂ Catalyst of 5-hydroximethylfurfural to 2,5-bis(hydroxymethyl)furan Used in Sustainable Production of Biopolymers: Kinetic Modeling

by Juan Zelin, Hernán Antonio Duarte, Alberto Julio Marchi and Camilo Ignacio Meyer

Sustain. Chem. 2025, 6(3), 22; https://doi.org/10.3390/suschem6030022 - 6 Aug 2025

Abstract

2,5-bis(hydroxymethy)lfuran (BHMF), a renewable compound with extensive industrial applications, can be obtained by selective hydrogenation of the C=O group of 5-hydroxymethylfurfural (HMF), a platform molecule derived from lignocellulosic biomass. In this work, we perform kinetic modeling of the selective liquid-phase hydrogenation of HMF [...] Read more.

2,5-bis(hydroxymethy)lfuran (BHMF), a renewable compound with extensive industrial applications, can be obtained by selective hydrogenation of the C=O group of 5-hydroxymethylfurfural (HMF), a platform molecule derived from lignocellulosic biomass. In this work, we perform kinetic modeling of the selective liquid-phase hydrogenation of HMF to BHMF over a Cu/SiO₂ catalyst prepared by precipitation–deposition (PD) at a constant pH. Physicochemical characterization, using different techniques, confirms that the Cu/SiO₂–PD catalyst is formed by copper metallic nanoparticles of 3–5 nm in size highly dispersed on the SiO₂ surface. Before the kinetic study, the Cu/SiO₂-PD catalyst was evaluated in three solvents: tetrahydrofuran (THF), 2-propanol (2-POH), and water. The pattern of catalytic activity and BHMF yield for the different solvents was THF > 2-POH > H₂O. In addition, selectivity to BHF was the highest in THF. Thus, THF was chosen for further kinetic study. Several experiments were carried out by varying the initial HMF concentration (C⁰_HMF) between 0.02 and 0.26 M and the hydrogen pressure (P_H2) between 200 and 1500 kPa. In all experiments, BHMF selectivity was 97–99%. By pseudo-homogeneous modeling, an apparent reaction order with respect to HFM close to 1 was estimated for a C⁰_HMF between 0.02 M and 0.065 M, while when higher than 0.065 M, the apparent reaction order changed to 0. The apparent reaction order with respect to H₂ was nearly 0 when C⁰_HMF = 0.13 M, while for C⁰_HMF = 0.04 M, it was close to 1. The reaction orders estimated suggest that HMF is strongly absorbed on the catalyst surface, and thus total active site coverage is reached when the C⁰_HMF is higher than 0.065 M. Several Langmuir–Hinshelwood–Hougen–Watson (LHHW) kinetic models were proposed, tested against experimental data, and statistically compared. The best fitting of the experimental data was obtained with an LHHW model that considered non-competitive H₂ and HMF chemisorption and strong chemisorption of reactant and product molecules on copper metallic active sites. This model predicts both the catalytic performance of Cu/SiO₂-PD and its deactivation during liquid-phase HMF hydrogenation. Full article

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17 pages, 2536 KiB

Open AccessArticle

A Study of the Profiling of the Screws in Conical Screw Compressors Using the Virtual Contact Point Method

by Virgil Gabriel Teodor, Nicușor Baroiu, Georgiana Alexandra Moroșanu, Răzvan Sebastian Crăciun and Vasilica Viorica Toniţă

Appl. Mech. 2025, 6(3), 58; https://doi.org/10.3390/applmech6030058 - 6 Aug 2025

Abstract

Conical screw compressors are equipment used to compress air or other gases, using a mechanism consisting of two conically shaped rotors (screws), which rotate one inside the other. This specific design offers advantages in terms of its efficiency, durability and compactness. These compressors [...] Read more.

Conical screw compressors are equipment used to compress air or other gases, using a mechanism consisting of two conically shaped rotors (screws), which rotate one inside the other. This specific design offers advantages in terms of its efficiency, durability and compactness. These compressors are characterized by high efficiency, efficient compression, low air loss, durability, compact dimensions and silent operation. In conical screw compressors, the screw axes are arranged at an angle, due to the conical shape of the screws. This arrangement allows for the progressive compression of the gas as it advances along the screws. On the one hand, the arrangement of the axes and the conical shape of the screws contribute significantly to the high performance of this type of compressor, but on the other hand, this shape makes it difficult to profile these active elements. The screw profiles of conical screw compressors are mutually enveloping, and this aspect is essential for the correct operation of the compressor. In this paper, a new algorithm for profiling the compressor’s external rotor starting from a known internal rotor shape is proposed. The proposed algorithm was developed at “Dunarea de Jos” University of Galati and was based on the observation that the compression chambers in conical screw compressors are sealed according to a curve that follows the axial section of the two screws, in a plane determined by their axes. Practically, the two screws admit a common contour of the axial section in the plane determined by their axes. Taking this aspect into account, the transverse profile of the outer screw can be determined by identifying the positions where contact will take place with the points belonging to the transverse profile of the inner screw. In order to verify the viability of this method, the volume occupied by the inner screw during its relative movement with respect to the outer screw was determined. This volume was compared with the volume of the outer rotor cavity, with the result demonstrating the identity of the two volumes. Full article

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40 pages, 87429 KiB

Open AccessFeature PaperArticle

Optimizing Urban Mobility Through Complex Network Analysis and Big Data from Smart Cards

by Li Sun, Negin Ashrafi and Maryam Pishgar

IoT 2025, 6(3), 44; https://doi.org/10.3390/iot6030044 - 6 Aug 2025

Abstract

Urban public transportation systems face increasing pressure from shifting travel patterns, rising peak-hour demand, and the need for equitable and resilient service delivery. While complex network theory has been widely applied to analyze transit systems, limited attention has been paid to behavioral segmentation [...] Read more.

Urban public transportation systems face increasing pressure from shifting travel patterns, rising peak-hour demand, and the need for equitable and resilient service delivery. While complex network theory has been widely applied to analyze transit systems, limited attention has been paid to behavioral segmentation within such networks. This study introduces a frequency-based framework that differentiates high-frequency (HF) and low-frequency (LF) passengers to examine how distinct user groups shape network structure, congestion vulnerability, and robustness. Using over 20 million smart-card records from Beijing’s multimodal transit system, we construct and analyze directed weighted networks for HF and LF users, integrating topological metrics, temporal comparisons, and community detection. Results reveal that HF networks are densely connected but structurally fragile, exhibiting lower modularity and significantly greater efficiency loss during peak periods. In contrast, LF networks are more spatially dispersed yet resilient, maintaining stronger intracommunity stability. Peak-hour simulation shows a 70% drop in efficiency and a 99% decrease in clustering, with HF networks experiencing higher vulnerability. Based on these findings, we propose differentiated policy strategies for each user group and outline a future optimization framework constrained by budget and equity considerations. This study contributes a scalable, data-driven approach to integrating passenger behavior with network science, offering actionable insights for resilient and inclusive transit planning. Full article

(This article belongs to the Special Issue IoT-Driven Smart Cities)

17 pages, 5929 KiB

Open AccessArticle

Optimization of Operations in Bus Company Service Workshops Using Queueing Theory

by Sergej Težak and Drago Sever

Vehicles 2025, 7(3), 82; https://doi.org/10.3390/vehicles7030082 - 6 Aug 2025

Abstract

Public transport companies are aware that the success of their operations largely depends on the proper sizing and optimization of their processes. Among the key activities are the maintenance and repair of the vehicle fleet. This paper presents the application of mathematical optimization [...] Read more.

Public transport companies are aware that the success of their operations largely depends on the proper sizing and optimization of their processes. Among the key activities are the maintenance and repair of the vehicle fleet. This paper presents the application of mathematical optimization methods from the field of operations research to improve the efficiency of service workshops for bus maintenance and repair. Based on an analysis of collected data using queueing theory, the authors assessed the current system performance and found that the queueing system still has spare capacity and could be downsized, which aligns with the company’s management goals. Specifically, the company plans to reduce the number of bus repair service stations (servers in a queueing system). The main question is whether the system will continue to function effectively after this reduction. Three specific downsizing solutions were proposed and evaluated using queueing theory methods: extending the daily operating hours of the workshops, reducing the number of arriving buses, and increasing the productivity of a service station (server). The results show that, under high system load, only those solutions that increase the productivity of individual service stations (servers) in the queueing system provide optimal outcomes. Other solutions merely result in longer queues and associated losses due to buses waiting for service, preventing them from performing their intended function and causing financial loss to the company. Full article

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13 pages, 343 KiB

Open AccessReview

Topical Tranexamic Acid Use Amongst Surgical Specialties: A Narrative Review

by Randilu Amarasinghe, Mohammad Sunoqrot, Samita Islam, Medha Gaddam, Mona Keivan, Jaclyn Phillips and Homa K. Ahmadzia

Surgeries 2025, 6(3), 69; https://doi.org/10.3390/surgeries6030069 - 6 Aug 2025

Abstract

Background: Tranexamic acid is an antifibrinolytic medication often used to prevent hemorrhage. The dosage and route of administration can vary depending on specialty and indication, although one of the most common routes includes intravenous application. Other possible administration modalities include intramuscular and topical [...] Read more.

Background: Tranexamic acid is an antifibrinolytic medication often used to prevent hemorrhage. The dosage and route of administration can vary depending on specialty and indication, although one of the most common routes includes intravenous application. Other possible administration modalities include intramuscular and topical applications or irrigation. Although not the most common method, more research is emerging on the topical application of the drug to prevent bleeding. Methods: Specific search terms regarding the topical administration of tranexamic acid were input into PubMed and were reviewed via Covidence. Selected studies were stratified based on specialty (ears, nose, and throat; cardiology; plastic surgery; and orthopedics), and hematologic outcomes regarding tranexamic acid use were reviewed. Results: An evaluation of the studies demonstrated the feasibility of tranexamic acid in the topical form; however, it can depend on the specialty-specific indications. Each field utilizes unique procedures or surgeries, which can play a role in the effectiveness of the medication. Conclusions: While the current literature demonstrates the feasibility of tranexamic acid, further research is needed to understand its viability in other fields, such as obstetrics. Full article

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