bluuebunny/crossref_metadata_2025 huggingface dataset:
Meta-Analysis of the Impact of Low-Dose Ionizing Radiation on Mortality and Progression of Heart Disease in the General Patient Population: Insights from Hormesis Theory in Cardiology
Authors: Pocięgiel Mateusz , Opyd Piotr , Zawodny Tomasz , Lis Michał , Filipiak Krzysztof J.
Published: November 2024

Background/Objectives: Low-dose ionizing radiation (LDIR) is commonly used in medical diagnoses and certain professions, but its long-term effects on noncancer diseases, particularly cardiovascular disease (CVD), remain uncertain. While LDIR has recognized diagnostic benefits, its influence on CVD mortality and disease progression is still debated, with some suggesting that low doses may even have beneficial effects, as per the hormesis theory. Methods: This meta-analysis aimed to evaluate the impact of LDIR on cardiovascular health outcomes. The study followed a systematic approach, using the PRISMA guidelines to select and analyze relevant studies from databases such as PubMed, Scopus, Web of Science, and Embase. Out of 167 identified studies, 8 were chosen for analysis, including 6 cohort studies and 2 experimental studies. Results: The findings indicated a significant link between LDIR exposure and increased CVD mortality and progression, though some studies also noted potential benefits of LDIR in certain conditions, aligning with the hormesis theory. Conclusions: These mixed results raise questions about the specific conditions under which LDIR might be beneficial or harmful. Overall, the study emphasizes the need for strict radiation control measures and health monitoring for individuals regularly exposed to LDIR, both in clinical and occupational settings.
Assessing the Impact of New Technologies on Managing Chronic Respiratory Diseases
Authors: Graña-Castro Osvaldo , Izquierdo Elena , Piñas-Mesa Antonio , Menasalvas Ernestina , Chivato-Pérez Tomás
Published: November 2024

Chronic respiratory diseases (CRDs), including asthma and chronic obstructive pulmonary disease (COPD), represent significant global health challenges, contributing to substantial morbidity and mortality. As the prevalence of CRDs continues to rise, particularly in low-income countries, there is a pressing need for more efficient and personalized approaches to diagnosis and treatment. This article explores the impact of emerging technologies, particularly artificial intelligence (AI), on the management of CRDs. AI applications, including machine learning (ML), deep learning (DL), and large language models (LLMs), are transforming the landscape of CRD care, enabling earlier diagnosis, personalized treatment, and enhanced remote patient monitoring. The integration of AI with telehealth and wearable technologies further supports proactive interventions and improved patient outcomes. However, challenges remain, including issues related to data quality, algorithmic bias, and ethical concerns such as patient privacy and AI transparency. This paper evaluates the effectiveness, accessibility, and ethical implications of AI-driven tools in CRD management, offering insights into their potential to shape the future of respiratory healthcare. The integration of AI and advanced technologies in managing CRDs like COPD and asthma holds substantial potential for enhancing early diagnosis, personalized treatment, and remote monitoring, though challenges remain regarding data quality, ethical considerations, and regulatory oversight.
Fibrinogen-Induced Regeneration Sealing Technique (F.I.R.S.T.): A Retrospective Clinical Study on 105 Implants with a 3–7-Year Follow-Up
Authors: Kivovics Márton , Foti Vincenzo , Mayer Yaniv , Mijiritsky Eitan
Published: November 2024

Background/Objectives: The primary aim of this retrospective clinical study was to assess the success and bone gain achieved by using the Fibrinogen-Induced Regeneration Sealing Technique (F.I.R.S.T.) in different indications. Methods: In this single-center retrospective clinical study, F.I.R.S.T. was performed in the following indications: alveolar ridge preservation (ARP), immediate implant placement, and horizontal and vertical guided bone regeneration (GBR) with simultaneous dental implant placement. F.I.R.S.T. is a modified approach to GBR characterized by the application of a porcine cortical lamina, as a long-term resorbable bone barrier to cover the bone defect, and a fibrin sealant for easy adaptation of the xenogenic bone graft material and the fixation of the collagenic bone barrier. Patients with uncontrolled systemic diseases, medications, or diseases that may alter bone metabolism; local inflammation; poor oral hygiene; and heavy smoking were excluded from this study. Horizontal and vertical bone gain (HBG and VBG) were measured by comparing postoperative and preoperative cone beam computed tomography (CBCT) reconstructions. Patients were recalled for controls and oral hygiene treatment every 6 months. Results: Altogether, 62 patients (27 male, 35 female, age 63.73 ± 12.95 years) were included in this study, and 105 implants were placed. Six implants failed during the 50.67 ± 22.18-month-long follow-up. Cumulative implant survival throughout the groups was 94.29 %. In the immediate implant group, HBG was 0.86 mm (range: −0.75–8.19 mm) at the 2 mm subcrestal level, while VBG was 0.87 ± 1.21 mm. In the ARP group, HBG was 0.51 mm (range: −0.29–3.90 mm) at the 2 mm subcrestal level, while VBG was −0.16 mm (range: −0.52–0.92 mm). In the horizontal GBR group, HBG was 2.91 mm (range: 1.24–8.10 mm) at the 2 mm subcrestal level. In the vertical GBR group, VBG was 4.15 mm (range: 3.00–10.41 mm). Conclusions: F.I.R.S.T. can be utilized successfully for bone augmentation. The vertical and horizontal bone gains achieved through F.I.R.S.T. allow for implant placement with adequate bone width on both the vestibular and oral aspects of the implant.
Surgical Textbook Outcomes in the Era of Neoadjuvant Systemic Treatment for Skin Cancers
Authors: Błoński Piotr Jan , Rutkowski Piotr , Ostaszewski Krzysztof , Krotewicz Maria , Czarnecka Anna M.
Published: November 2024

Recent years have brought new, highly effective systemic treatments to clinical practice, which can be used to treat patients with locally advanced or metastatic skin cancers. Using these regimens in neoadjuvant strategy influences surgical treatment by facilitating surgical resection, avoiding extensive resections with complex reconstructions and even omitting surgery in some cases. Integrating systemic therapy with surgery is ongoing and requires novel quality measures of surgical treatment to capture the clinical benefits of multidisciplinary strategies better. The Textbook Outcome (TO) is a novel measure of surgical quality, which captures the short-term outcomes of surgery and reflects long-term survival. Textbook Outcomes match a particular type of surgery, are intuitive to interpret, and may be widely applied in surgical oncology and general surgery. Therefore, this review aims to describe recent findings on neoadjuvant skin cancer treatment and their implications for surgical proceedings in the context of Textbook Outcomes.
Comparative Study of Exchange Nailing and Augmentative Plating for Treating Aseptic Nonunion of Femoral Shafts Post Intramedullary Nailing: A Single-Blind, Multicentric Randomized Clinical Trial
Authors: Motififard Mehdi , Mousavi Hamid , Iranpanah Nasrollah , Akbari Aghdam Hossein , Teimouri Mehdi , Aliakbari Mohsen , Parhamfar Mohammad , Shirazi Nejad Somaye , Shahsavan Mahdi , Daemi Amin , Salehi Ashkan , Shahsavan Mohammad
Published: November 2024

Background: Aseptic nonunion of femoral shafts after intramedullary nailing (IMN) can be a challenging condition that may lead to long-term disability and the need for multiple surgical procedures. This study compared the clinical and radiological outcomes between exchange nailing and augmentative plating with bone grafting. Methods: In this multicenter, prospective, single-blind, randomized controlled trial, patients with aseptic nonunion of the femoral shaft after IMN were randomly assigned to receive exchange nailing or augmentative plating. The primary outcomes measured were the time to bone union and union rate 12 months after revision surgery. The secondary outcomes included operative time, blood loss, hospitalization duration, pain level using the visual analog scale (VAS), knee range of motion (ROM), and complication rates. Results: The augmentative plating group had a significantly shorter mean time to union (5.39 ± 1.29 months) compared with the exchange nailing group (7.38 ± 1.97 months; p < 0.001). The union rates at 12 months were 100% in the augmentative plating group and 89.65% in the exchange nail group. Augmentative plating resulted in a shorter operation time (99.46 ± 11.08 min vs. 106.45 ± 12.22 min; p = 0.025) and reduced blood loss (514.79 ± 45.87 mL vs. 547.72 ± 54.35 mL; p = 0.016). Significant pain reduction was observed in the augmentative plating group, with preoperative VAS scores decreasing from 6.04 ± 2.28 to 2.64 ± 1.50, compared with a decrease from 5.66 ± 2.21 to 3.66 ± 2.19 in the exchange nailing group (p = 0.047). Knee ROM improved significantly in the augmentative plating group (p = 0.0176). The complication rate was lower in the augmentative plating group (3.57%) than in the exchange nail group (17.24%). Conclusions: Augmentative plating with autologous bone grafting is superior to exchange nailing for treating aseptic nonunion of femoral shafts. It is associated with faster healing, higher union rates, better clinical and functional outcomes, and fewer complications. We recommend this technique as the preferred treatment option for such complex cases.
Composition of Breast Milk in Women with Obesity
Authors: Ross Michael G. , Coca Kelly P. , Rocha Ana Carolina Lavio , Camargo Bárbara Tideman Sartório , de Castro Luciola Sant’Anna , Horta Bernardo L. , Desai Mina
Published: November 2024

Background/Objectives: Among US breastfeeding women, those with obesity have significantly increased breast milk fat and caloric content from foremilk to hindmilk, with a 4-fold increase in fat content from the first to last milk sample. In view of different dietary norms and nutritional standards, we sought to evaluate the relationship between maternal BMI with breast milk fat and calorie content in women from Brazil, a low–middle-income country. Methods: Women who delivered singleton-term neonates were recruited from the Ana Abrao Breastfeeding Center (AABC) and Human Milk Bank at the Federal University of Sao Paulo, Brazil. These women were then studied at 7–8 weeks postpartum. Women were grouped by BMI categories of nonobese (NonOB; BMI 18.5–29.9) and obese (OB; BMI ≥ 30). A breast pump was applied, and milk samples were obtained continuously in 10 mL aliquots from foremilk to hindmilk; samples were analyzed for macronutrients and lipids, and maternal blood was analyzed for serum lipids and glucose. Results: As compared to NonOB women, those with OB had significantly higher milk fat in the mid (4.9 ± 0.3 vs. 3.9 ± 0.2) and last hindmilk (6.6 ± 0.4 vs. 5.5 ± 0.3) samples, though not in the first foremilk sample, as compared to NonOB women. In both NonOB and OB subjects, milk caloric and fat content increased 1.5 to 2-fold from foremilk to hindmilk, with the average milk caloric value being 11% greater in OB women. Protein content was significantly increased in all three milk samples (first, middle, and last) in women with OB. Conclusions: Although the value of breastfeeding remains clear, these findings may have significant implications for infant nutrition and excessive infant weight gain in women with OB.
Cosmetic Dermatology in the Digital Age
Authors: Zhang Aurore D. , Shirazi Roxana , Vashi Neelam A.
Published: November 2024

Like many other industries, healthcare is constantly evolving [...]
Internalised Stigma, Self-Esteem and Perceived Social Support as Psychosocial Predictors of Quality of Life in Adult Patients with Schizophrenia
Authors: Gagiu Corina , Dionisie Vlad , Manea Mihnea Costin , Mazilu Doina Carmen , Manea Mirela
Published: November 2024

Background: Schizophrenia is a chronic and severe mental illness that ultimately leads to reduced quality of life (QoL). Over the years, QoL has emerged as an important outcome in the treatment of schizophrenia patients, but the role of psychosocial variables in determining QoL is still ambiguous. Therefore, in the present research, demographic, clinical and psychosocial variables were examined for their influence on QoL. Methods: We conducted a prospective and cross-sectional study on a sample of 139 patients with schizophrenia (72.7% females, age 48.17 ± 10.22) attending an outpatient service. QoL was measured using Schizophrenia Quality of Life Revision-4 (SQLR4) and internalised stigma, self-esteem, perceived social support, resilience and coping mechanisms were assessed using a battery of standardized self-report scales. Results: Female patients and those less adherent to treatment had reduced cognition and vitality QoL. The worst QoL in all domains was observed in patients with a younger age at illness onset and with six or more hospitalizations. Regression analysis indicated that reduced self-esteem, perceived social support, a larger number of hospitalization and increased internalised stigma predicted poorer overall QoL and accounted for 44.9% in the variance in SQLSR4 global score (adjusted R2 = 0.449, p = 0.046). Conclusions: Routine assessment of internalised stigma, self-esteem and perceived social support, in addition to demographic and clinical variables and addressing possible deficits in these areas through personalized intervention, could improve QoL in schizophrenia patients.
Management of COVID-19 Infection Associated Lung Abscess with Secondary Pleural Empyema Using Percutaneous Intracavitary Drainage: Case Series and Review of the Literature
Authors: Palade Emanuel , Titu Ioana-Medeea , Goia Angela Elena , Simu Tudor Dan , Ciulic Sergiu Adrian , Manole Simona , Mlesnite Monica
Published: November 2024

Background/Objectives: COVID-19-related pulmonary complications, such as lung abscesses and pleural empyema, are rare but serious. This study presents a case series of three patients with COVID-19-associated lung abscesses complicated by pleural empyema, managed conservatively with percutaneous intracavitary drainage (ICD) and lavage. We assess the efficacy and safety of this treatment and compare our findings with the current literature. Methods: A retrospective analysis of three cases treated at the Clinic of Thoracic Surgery and Intensive Care Unit in Cluj-Napoca, Romania, was conducted. All patients developed severe lung involvement post-COVID-19, with abscesses rupturing into the pleural cavity. Conservative management included percutaneous ICD and daily lavage with isotonic saline, avoiding extensive surgery due to the patients’ critical condition. Clinical, radiological, and functional outcomes were followed, and results were compared to similar cases in the literature. Results: Among 496 critically ill patients with COVID-19 infection, three patients (age 42–60) developed lung abscesses and bacterial superinfection. In all patients, the germs involved were identified (monomicrobial infection in 1, polymicrobial in 2 patients). The abscesses were treated with percutaneous ICD and lavage, leading to clinical improvement in all cases. Long-term drainage (94–290 days) was necessary to obtain healing, and none of the patients required lung resection or decortication. Serial CT scans showed resolution of the abscesses and empyema. All were successfully discharged, and long-term follow-up (30–32 months) revealed minor radiological sequelae and mild respiratory impairment. The literature review found three studies summarizing 45 patients with lung abscesses complicating COVID-19 infections, but only one study addressed the use of percutaneous ICD. The mortality reported in this group was high (50–65%). Conclusions: Conservative treatment with percutaneous ICD and lavage is effective in managing lung abscesses and pleural empyema in critically ill COVID-19 patients, offering a viable alternative to surgery in high-risk cases. This method may be beneficial in multidisciplinary care for non-surgical candidates.
Dry Eye Treatment with Intense Pulsed Light for Improving Visual Outcomes After Cataract Surgery with Diffractive Trifocal Intraocular Lens Implantation
Authors: Teshigawara Takeshi , Akaishi Miki , Mizuki Yuki , Takeuchi Masaki , Yabuki Kazuro , Hata Seiichiro , Meguro Akira , Mizuki Nobuhisa
Published: November 2024

Background/Objectives: Meibomian gland dysfunction (MGD)-related dry eye aggravates postoperative visual outcomes in cataracts. Diffractive trifocal intraocular lenses (IOLs) decrease contrast sensitivity (CS). Intense pulsed light (IPL) improves tear film stability and ocular surface conditions in MGD-related dry eyes. We investigated the effect of preoperative MGD-related dry eye treatment combining manual meibomian gland expression (MGX) with IPL (IPL-MGX) on visual outcomes post-cataract surgery with diffractive trifocal IOL implantation. Methods: In this single-center, prospective, and open-label study, we enrolled 67 patients (134 eyes) with MGD-related dry eye undergoing cataract surgery on both eyes. Preoperatively, IPL-MGX was performed on one eye (IPL-MGX group) but not the contralateral eye (control group). Tear break-up time, high-order aberrations, and central superficial punctate keratopathy (C-SPK) were assessed. CS and corrected distance visual acuity were analyzed. Differences between groups were analyzed at 1 week, 1 month, and 3 months postoperatively. Results: The IPL-MGX group showed greater mean tear break-up time and lower mean high-order aberration and C-SPK values after preoperative IPL treatment and postoperatively (all p < 0.01). Postoperative CS was higher in the IPL-MGX group at 1 week (all spatial frequencies) (p < 0.01 [cpd = 2.9, 4.5, 7.1, and 10.2] and p < 0.05 [cpd = 1.1 and 1.8]); 1 month [2.9–10.2 cpd] (p < 0.01); and 3 months [4.5–10.2 cpd] (p < 0.01 [cpd = 10.2] and p < 0.05 [cpd = 4.5 and 7.1]) postoperatively. Mean corrected distance visual acuity was higher in the IPL-MGX group only postoperatively (p < 0.01). Conclusions: Preoperative MGD-related dry eye treatment using IPL-MGX enhances tear film stability, ocular surface conditions, and visual outcomes, potentially improving postoperative vision quality and patient satisfaction.
Comparative Study on the Impact of Various Non-Metallic Fibres on High-Performance Concrete Properties
Authors: Korjakins Aleksandrs , Kolendo Girts , Lusis Vitalijs , Spure Laura , Bondars Kaspars , Bajare Diana , Sahmenko Genadijs
Published: November 2024

The performance of high-performance concrete has been enhanced in the present study by incorporating non-metallic fibres without altering the binder content. The impact of these fibres on high-performance concrete flexural and compression characteristics and the arrangement of fibres within the composite were systematically analysed. Unlike conventional practices, the authors of the research introduce various non-metallic fibres, including alkali-resistant glass fibres, carbon microfibers, three types of polypropylene microfibers, and one type of polyvinyl alcohol fibre while maintaining an equal amount of binder. The research aims to comprehensively evaluate the fibre’s influence on cement composite properties. Various types of non-metallic fibres, highlighting differences in diameters and their physical-mechanical properties with a constant amount by volume, have been considered in the research. Alkali-resistant glass and carbon fibres exhibit low values of residual post-cracking force but polyvinyl alcohol fibres demonstrate the best post-cracking behaviour, with a residual post-cracking force value. This detailed examination of fibre distribution and composition sheds light on the nuanced effects on fresh and hardened concrete properties. Notably, this work diverges from existing research by maintaining a constant binder amount and considering the quantitative distribution of fibres in a unit volume of the cement matrix, along with their aspect ratio. These findings provide valuable insights for selecting the most suitable non-metallic fibres for enhancing high-performance concrete properties.
The Influence of Activated Carbon Particle Size on the Properties and Performance of Polysulfone Composite Membrane for Protein Separation
Authors: Prihandana Gunawan Setia , Muthi’ah Aisyah Dewi , Sriani Tutik , Mahardika Muslim
Published: November 2024

The superiorities provided by polymeric composite membranes in comparison to the original membrane have generated increased attention, particularly in the field of protein separation applications. This work involved the fabrication of polysulfone composite membranes using variable loadings of activated carbon particle sizes, namely, 37 µm, 74 µm, 149 µm, and 297 µm. The membranes were fabricated via the phase-inversion method, employing water as the coagulant. In this study, the impact of the AC powder particle sizes on membrane morphology, water contact angle, porosity, average pore size, molecular weight cutoff, pure water flux, and protein rejection was examined. Different membrane morphologies and properties were achieved by incorporating a variety of AC particle sizes. A porous membrane with the maximum pure water flux was generated by the loading of finer AC particles. Concurrently, protein rejection is increasing as a result of the use of AC particles as an infill in the composite membrane. In comparison to all fabricated membranes, the AC filler with a particle size of 149 µm exhibited the highest rejection of the lysozyme protein, reaching up to 73.9%, with a relatively high water permeability of 33 LMH/Bar. In conclusion, this investigation provides recommendations for the selection of AC particle sizes for protein separation in conjunction with PSF ultrafiltration membranes.
Distributionally Robust Optimal Scheduling of Hybrid Ship Microgrids Considering Uncertain Wind and Wave Conditions
Authors: Lu Fang , Tian Yubin , Liu Hongda , Ling Chuyuan
Published: November 2024

A hybrid ship uses integrated generators, an energy storage system (ESS), and photovoltaics (PV) to match its propulsion and service loads, and together with optimal power and voyage scheduling, this can lead to a substantial improvement in ship operation cost, ensuring compliance with the environmental constraints and enhancing ship sustainability. During the operation, significant uncertainties such as waves, wind, and PV result in considerable speed loss, which may lead to voyage delays and operation cost increases. To address this issue, a distributionally robust optimization (DRO) model is proposed to schedule power generation and voyage. The problem is decoupled into a bi-level optimization model, the slave level can be solved directly by commercial solvers, the master level is further formulated as a two-stage DRO model, and linear decision rules and column and constraint generation algorithms are adopted to solve the model. The algorithm aims at minimizing the operation cost, limiting greenhouse gas (GHG) emissions, and satisfying the technical and operational constraints considering the uncertainty. Extensive simulations demonstrate that the expected total cost under the worst-case distribution is minimized, and compared with the conventional robust optimization methods, some distribution information can be incorporated into the ambiguity sets to generate fewer conservative results. This method can fully ensure the on-time arrival of hybrid ships in various uncertain scenarios while achieving expected operation cost minimization and limiting greenhouse gas (GHG) emissions.
Study on the Vibration-Damping Mechanism of a New Phononic Crystal Suspension Equipped on Underwater Gliders
Authors: Sun Qindong , Yang Yuhan , Wu Pan , Yang Ming , Sun Tongshuai , Niu Wendong , Yang Shaoqiong
Published: November 2024

The vibration caused by the movement of internal actuating components within an acoustic underwater glider can interfere with onboard sensors. However, as a new vibration-damping material, phononic crystals can effectively reduce this impact. Using simulation and an underwater test, this work studied the vibration-damping mechanism of the phononic crystal suspension (PCS) designed by Tianjin University, China. The bandgaps and the modes of PCS were calculated first, which offered basic data for the following simulation. Then, the relationship between the modes and attenuation zones (AZs) were broadly considered to reveal the variation law of the AZs with the change in modes, both in the air and under water. Finally, an underwater test was carried out to verify the good vibration-damping effect of the PCS. The results show that the cutoff frequency of the AZs could be predicted by finding the relevant modes. The PCS showed a good vibration-damping effect from 170 Hz to 5000 Hz in the underwater test, with a maximum decrease of 6 dB at 2000 Hz. Finally, the damping of the PCS could suppress the overlap of modes that resulted from Bragg scattering. This work will also provide theoretical guidance for further study on the optimization of phononic crystal mechanisms for vibration damping.
Influence of Foundation–Soil–Foundation Interaction on the Dynamic Response of Offshore Wind Turbine Jackets Founded on Buckets
Authors: Romero-Sánchez Carlos , Bordón Jacob D. R. , Padrón Luis A.
Published: November 2024

This study investigates the impact of soil–structure interaction (SSI) and foundation–soil–foundation interaction (FSFI) on the dynamic behaviour of jacket substructures founded on buckets for offshore wind turbines. A parametric analysis was conducted, focusing on critical load cases for conservative foundation design. Different load configurations were examined: collinear wind and wave (fluid–structure interaction) loads, along with misaligned configurations at 45° and 90°, to assess the impact of different loading directions. The dynamic response was evaluated through key structural parameters, including axial forces, shear forces, bending moments, and stresses on the jacket. Simulations employed the National Renewable Energy Laboratory (NREL) 5MW offshore wind turbine mounted on the OC4 project jacket founded on suction buckets. An additional optimised jacket design was also studied for comparison. An OpenFAST model incorporating SSI and FSFI considering a homogeneous soil profile was employed for the dynamic analysis. The results highlight the significant role of the FSFI on the dynamic behaviour of multi-supported jacket substructure, affecting the natural frequency, acceleration responses, and internal forces.
Holocene and Reworked Pleistocene Sediments in Mud Depocenters of the Inner Continental Shelf of Sao Paulo Bight (Southeast Brazil)
Authors: Scardua Neto Antonio , Alcántara-Carrió Javier
Published: November 2024

Mud depocenters are found across most siliciclastic continental shelves, occurring in various bathymetric ranges and typically dating to the Holocene. This study analyzes the sedimentary characteristics and formation processes of mud depocenters in the central sector of the inner continental shelf of the São Paulo Bight. A total of 1700 km of high-resolution seismic profiles, four gravity cores, and 1346 surface sediment samples were analyzed. The sedimentary analysis involved determining grain size parameters, organic matter content, carbonates content, and radiocarbon dating. Seafloor sedimentary mapping shows the predominance of very fine siliciclastic sand, together with three mud depocenters located shallower than the 30-m isobath. The northern depocenter comprises one sedimentary unit (SU-NZ-01), while the central depocenter consists of two sedimentary units (SU-CZ-01 and SU-CZ-02) and the southern depocenter is made up of two other sedimentary units (SU-SZ-01 and SU-SZ-02). Units SU-SZ-02, SU-CZ-02, and SU-NZ-01 were deposited on Precambrian rock surfaces during the Holocene transgression and include reworked sediments from nearby Upper Pleistocene coastal plains, characterized by a transparent seismic pattern. Above these, units SU-SZ-01 and SU-CZ-01 developed following the Holocene Transgression Maximum, associated with local mud input from the Peruíbe River mouth and the Santos Estuary, respectively. The paleorelief of Precambrian rocks favored the formation of these depocenters by creating wave shadow zones and trapping mud within the paleovalleys.
Can We Use Financial Data to Predict Bank Failure in 2009?
Authors: Liu Shirley (Min)
Published: November 2024

This study seeks to answer the question of whether we could use a bank’s past financial data to predict the bank failure in 2009 and proposes three new empirical proxies for loan quality (LQ), interest margins (IntMag), and earnings efficiency (OIOE) to forecast bank failure. Using the bank failure list from the Federal Deposit Insurance Corporation (FDIC) database, I match the banks that failed in 2009 with a control sample based on geography, size, the ratio of total loans to total assets, and the age of banks. The model suggested by this paper could predict correctly up to 94.44% (97.15%) for the failure (and non-failure) of banks, with an overall 96.43% prediction accuracy, (p = 0.5). Specifically, the stepwise logistic regression suggests some proxies for capital adequacy, assets/loan risk, profit efficiency, earnings, and liquidity risk to be the predictors of bank failure. These results partially agree with previous studies regarding the importance of certain variables, while offering new findings that the three proposed proxies for LQ, IntMag, and OIOE statistically and economically significantly impact the probability of bank failure.
Water, Ecosystem Services, and Urban Green Spaces in the Anthropocene
Authors: Olivadese Marianna , Dindo Maria Luisa
Published: November 2024

As urban centers worldwide face the escalating impacts of climate change, rapid urbanization, and increasing water scarcity, the need for sustainable water management practices to enhance urban resilience in the Anthropocene has become critical. This study explores how ancient water management practices—including Roman aqueducts, Maya rainwater harvesting systems, and ancient Chinese flood control techniques—can be adapted to address contemporary water challenges in modern cities. We evaluate these historical practices through a lens of contemporary environmental pressures, including climate change, urbanization, and resource scarcity. By integrating ancient methods with modern technologies, we propose adaptive solutions to enhance urban water resilience. Case studies from five cities (Singapore, Copenhagen, Mexico City, Los Angeles, and Philadelphia) illustrate how modern green infrastructure, inspired by ancient techniques, is being successfully implemented to manage stormwater, mitigate urban flooding, and improve water conservation. By integrating historical practices with modern technologies—such as advanced filtration systems and water recycling—these cities are enhancing their water resilience and sustainability. The findings suggest that urban planners can draw valuable lessons from historical systems to design adaptive, climate-resilient cities that balance human needs with ecological sustainability. This paper concludes with actionable recommendations for future urban planning, emphasizing the importance of decentralized water systems, nature-based solutions, and community engagement to ensure sustainable urban water management in the Anthropocene.
Spatial Expansion Characteristics and Nonlinear Relationships of Driving Factors in Urban Agglomerations: A Case Study of the Yangtze River Delta Urban Agglomeration in China
Authors: Zhao Bochuan , Wang Yifei , Geng Huizhi , Jiang Xuan , Li Lingyue
Published: November 2024

Urban agglomerations are increasingly becoming the primary regional units in global competition, characterized by the rapid expansion of impervious surface areas, which negatively impacts both society and the environment. This study quantifies the spatiotemporal expansion of these surfaces in the Yangtze River Delta urban agglomeration and explores its driving factors using a Geographically Weighted Random Forest model. The results demonstrate a transition from “point expansion” to “infill development”, while also revealing a gradual southward shift in the developmental focus of the Yangtze River Delta urban agglomeration. Although expansion intensity has decreased, spatial clustering has intensified. Based on the expansion patterns of impervious surface areas, we propose a novel regional classification method, dividing the Yangtze River Delta urban agglomeration into three zones: “A-Development Decline Zone”, “B-Development Core Zone”, and “C-Development Ascendance Zone”. Socio-economic factors are the primary drivers of this expansion, followed by science and education, and then the ecological environment, while physical geography factors have the least impact. The study reveals differentiated regional development characteristics and further refines the sub-regions within the urban agglomeration, providing a new perspective for future regional coordinated development policies.
Identification of Agricultural Areas to Restore Through Nature-Based Solutions (NbS)
Authors: Petti Beatrice , Ottaviano Marco
Published: November 2024

This study aims to present a methodological approach based on the objectives of the Nature Restoration Law and the concept of Forest Landscape Restoration to identify areas that are best suited for the implementation of Nature-based Solutions for the improvement of landscape and habitat status in the city of Campobasso (1028.64 km2). Using open data (ISPRA ecosystem services and regional land use capability), an expert based approach (questionnaire), and a multicriteria analysis (Analytical Hierarchy Process), the Total Ecosystem Services Value index was determined as a weighted additive sum of the criteria considered. The index was then classified into eight clusters, and the land use “Cropland” was extracted. Cluster 1 croplands (740.09 Ha) were identified as the areas to be allocated to Nature-based Solutions since they were those characterized by fewer ecosystem services provisioning, while Cluster 8 croplands (482.88 Ha) were identified as valuable areas to be preserved. It was then possible to compare the “Forest” areas currently present in the study area with those of a possible future scenario, represented by the areas occupied today by forest with the addition of Cluster 1 croplands. A landscape analysis was conducted; it showed greater dispersion and fragmentation of forest patches in the future scenario, but also greater connectivity and thus greater ecological functionality of the patches.
Application of Life Cycle Assessment for Torrent Control Structures: A Review
Authors: Marin Mirabela , Tudose Nicu Constantin , Ungurean Cezar , Mihalache Alin Lucian
Published: November 2024

Mountain areas are prone to the occurrence of extreme events, especially torrential floods, amplified by climatic and environmental changes. In this context, it is mandatory to increase resilience and guide decision-makers toward more effective measures. Life cycle assessment (LCA) is considered as a decision support tool that can provide the qualitative and quantitative criteria required by the Do No Significant Harm, thus contributing to a more accurate assessment of environmental impacts of the torrent control structures. This study aimed to investigate the current state of the LCA applications in the torrent control to provide practitioners perspectives for new research and a pathway for optimized LCA analysis. Our analysis reveals that in the torrent control area, these studies are still limited. Most of the papers considered Ecoinvent as the main database source and cradle to grave as the main system boundary. This study suggests that restoring the functional capacity of dams and other torrent control structures instead of demolition or decommissioning from the end-of-life stage will ensure an orientation towards more sustainable and circular strategies. Although strong partnerships and consistent efforts are needed, general findings reveal that LCA is a useful tool for moving towards more sustainable construction practices.
Lubrication Characteristics of a Warhead-Type Irregular Symmetric Texture on the Stator Rubber Surfaces of Screw Pumps
Authors: Liu Xinfu , Sun Yi , Liu Chunhua , Shi Xiangzhi , Niu Xinglong , Zheng Gang , Wei Wei , Wei Songbo , Huang Shouzhi
Published: November 2024

A theoretical model for the micro-texture on the inner wall of the stator rubber in screw pumps was developed. The finite element analysis method was employed. The pressure and streamline distributions for warhead-type, concentric circle-type, and multilayer rectangular-type textured surfaces were calculated. The effects of textured morphology, groove depth, groove width, and other parameters on the lubrication field were systematically investigated and analyzed. A nanosecond laser was employed to process the textured rubber surface of the stator in the screw pump. Subsequently, a micro-texture friction performance test was conducted on the rubber surface of the stator in actual complex well fluids from shale oil wells. Given the results of the simulation analysis and experimental tests, the lubrication characteristics of textured rubber surfaces with varying texture morphologies, rotational speeds, and mating loads were revealed. Furthermore, it indicated that the irregular symmetric warhead-type micro-texture exhibited excellent dynamic pressure lubrication performance compared with concentric circle-type and multilayer rectangular-type textures. The irregular symmetry enhanced the dynamic pressure lubrication effect, enhanced the additional net load-bearing capacity of the oil film surface, and reduced friction. As the groove depth increased, the volume and number of vortices within the groove also increased. The fluid kinetic energy was transformed into vortex energy, leading to a reduction in wall stress on the surface of the oil film, thereby affecting its bearing capacity. Initially, the maximum pressure on the wall surface of the oil film increased and then decreased. The optimal dynamic pressure lubrication effect was achieved with a warhead-type texture size of 3 mm, a groove width of 0.2 mm, and a groove depth of 0.1 mm. Well-designed texture morphology and depth parameters significantly enhanced the oil film-bearing capacity of the stator rubber surface, improving the dynamic pressure lubrication effect, and consequently extending the service life of the stator–rotor interface in the screw pump.
Development of Deterministic Communication for In-Vehicle Networks Based on Software-Defined Time-Sensitive Networking
Authors: Li Binqi , Zhu Yuan , Liu Qin , Yao Xiangxi
Published: November 2024

To support more advanced functionality in vehicles, there is the challenge of deterministic and reliable transmission of sensor data and control signals. Time-sensitive networking (TSN) is the most promising candidate to meet this demand by leveraging IEEE 802.1 ethernet standards, which include time synchronization, traffic shaping, and low-latency forwarding mechanisms. To explore the implementation of TSN for in-vehicle networks (IVN), this paper proposes a robust integer linear programming (ILP)-based scheduling model for time-sensitive data streams to mitigate the vulnerabilities of the time-aware shaper (TAS) mechanism in practice. Furthermore, we integrate this scheduling model into a software-defined time-sensitive networking (SD-TSN) architecture to automate the scheduling computations and configurations in the design phase. This SD-TSN architecture can offer a flexible and programmable approach to network management, enabling precise control over timing constraints and quality-of-service (QoS) parameters for time-sensitive traffic. Firstly, data transmission requirements are gathered by the centralized user configuration (CUC) module to acquire traffic information. Subsequently, the CNC module transfers the computed results of routing and scheduling to the YANG model for configuration delivery. Finally, automotive TSN switches can complete local configuration by parsing the received configuration messages. Through an experimental validation based on a physical platform, this study demonstrates the effectiveness of the scheduling algorithm and SD-TSN architecture in enhancing deterministic communication for in-vehicle networks.
Supply Chain Analysis Based on Community Detection of Multi-Layer Weighted Networks
Authors: Zhu Yingqiu , Wang Ruiyi , Feng Mingfei , Qin Lei , Shia Ben-Chang , Chen Ming-Chih
Published: November 2024

As the economic environment becomes more complex, improving supply chain resilience is critical for the effective operation and long-term sustainability of businesses. Real-world supply chains, which consist of various components such as goods, warehouses, and plants, often feature intricate network structures that pose challenges for resilience analysis. This paper addresses these challenges by proposing a framework for studying supply chains using multi-layer network community detection. The complex multi-mode supply chain network is transformed into single-mode, multi-layer weighted networks. A multi-layer weighted community detection method is proposed for identifying local clusters within these networks, revealing interconnected groups that highlight flexibility and redundancy in production capabilities across different plants and goods. An empirical study utilizing real data demonstrates that this clustering method effectively detects indirect capacity links between plants and goods. The insights derived from this method are useful for strategic capacity management, allowing businesses to respond more effectively to supply shortages and unexpected increases in demand.
Modeling the Impact of Human Awareness and Insecticide Use on Malaria Control: A Fractional-Order Approach
Authors: Helikumi Mlyashimbi , Bisaga Thobias , Makau Kimulu Ancent , Mhlanga Adquate
Published: November 2024

In this research work, we developed a fractional-order model for the transmission dynamics of malaria, incorporating two control strategies: health education campaigns and the use of insecticides. The theoretical analysis of the model is presented, including the computation of disease-free equilibrium and basic reproduction number. We analyzed the stability of the proposed model using a well-formulated Lyapunov function. Furthermore, model parameter estimation was carried out using real data from malaria cases reported in Zimbabwe. We found that the fractional-order model provided a better fit to the real data compared to the classical integer-order model. Sensitivity analysis of the basic reproduction number was performed using computed partial rank correlation coefficients to assess the effect of each parameter on malaria transmission. Additionally, we conducted numerical simulations to evaluate the impact of memory effects on the spread of malaria. The simulation results indicated that the order of derivatives significantly influences the dynamics of malaria transmission. Moreover, we simulated the model to assess the effectiveness of the proposed control strategies. Overall, the interventions were found to have the potential to significantly reduce the spread of malaria within the population.
A Fuzzy AHP and PCA Approach to the Role of Media in Improving Education and the Labor Market in the 21st Century
Authors: Sančanin Branislav , Penjišević Aleksandra , Simjanović Dušan J. , Ranđelović Branislav M. , Vesić Nenad O. , Mladenović Maja
Published: November 2024

In a hyperproductive interactive environment, where speed and cost-effectiveness often overshadow accuracy, the media’s role is increasingly shifting towards an educational function, beyond its traditional informative and entertaining roles. This shift, particularly through the promotion of science and education, aims to bridge the gap between educational institutions and the labor market. In this context, the importance of 21st-century competencies—encompassing a broad range of knowledge and skills—becomes increasingly clear. Educational institutions are now expected to equip students with relevant, universally applicable, and market-competitive competencies. This paper proposes using a combination of principal component analysis (PCA) and fuzzy analytic hierarchy process (FAHP) to rank 21st-century competencies developed throughout the educational process to improve the system. The highest-ranked competency identified is the ability to manage information—specifically, gathering and analyzing information from diverse sources. It has been shown that respondents who developed “soft skills” and media literacy during their studies are better able to critically assess content on social networks and distinguish between credible and false information. The significance of this work lies in its focus on the damaged credibility of online media caused by user-generated content and the rapid spread of unverified and fake news. Denying such discourse or erasing digital traces is therefore futile. Developing a critical approach to information is essential for consistently identifying fake news, doctored images, and recordings taken out of context, as well as preventing their spread.
Marine Fungi Bioactives with Anti-Inflammatory, Antithrombotic and Antioxidant Health-Promoting Properties Against Inflammation-Related Chronic Diseases
Authors: Papikinou Maria-Aliki , Pavlidis Konstantinos , Cholidis Paschalis , Kranas Dimitrios , Adamantidi Theodora , Anastasiadou Chryssa , Tsoupras Alexandros
Published: November 2024

Fungi play a fundamental role in the marine environment, being promising producers of bioactive molecules in the pharmacological and industrial fields, which have demonstrated potential health benefits against cardiovascular and other chronic diseases. This review pertains to the analysis of the lipid compositions across various species of marine fungi and their constantly discovered substances, as well as their anti-inflammatory, antioxidant, and antithrombotic effects. The health-promoting aspects of these microorganisms will be explored, through the investigation of several mechanisms of action and interference of their bioactives in biochemical pathways. Despite exceptional results in this field, the potential of marine microorganisms remains largely unexplored due to the limited number of specialists in marine microbiology and mycology, a relatively recent science with significant contributions and potential in biodiversity and biotechnology.