bluuebunny/crossref_metadata_2025 huggingface dataset:
Experimental Analysis of Rock Boulder Impacts on Brick Walls to Support Numerical Modelling of Building Damage
Authors: Mavrouli Olga , Fan Xuanmei , Li Zhou , Wang Dongpo , Xu Qiang
Published: August 2024

To estimate the expected damage due to rockfalls and debris flows for buildings and people, it is essential to assess the response of brick walls to boulder impacts. There are scarce physical tests of the impact of boulders on brick walls, which are typical of residential buildings. A simple and low-cost experimental setup for investigating the damage of unreinforced brick walls that are subjected to a boulder’s impact is presented. The setup consists of a ramp that is adjusted with a light steel structure. Seven pilot tests for five single-leaf brick walls of a 1000 × 1000 mm2 area, hit by a 72.925 kg granite boulder, and from five release heights (0.25 m, 0.50, 1.00 m, 2.50 m, and 3.00 m) are performed. The observed damage indicates that wall breakthrough occurs for translational kinetic energies as low as 500 J. The prevalent failure mechanism is local shear damage. Additionally, a numerical model to simulate the physical tests was developed using the FEM. Using the same properties as in the physical testing, the numerical model is found to realistically reproduce the displacement of a node at the centre of the impact, as well as the translational impact velocity and energy, for the same five boulder release heights.
Definitions of Ageing According to the Perspective of the Psychology of Ageing: A Scoping Review
Authors: Gaviano Luca , Pili Roberto , Petretto Andrea Domenico , Berti Roberta , Carrogu Gian Pietro , Pinna Martina , Petretto Donatella Rita
Published: August 2024

In the last decades, the scientific interest in ageing has increased due to the progressive ageing of the global population and due to the importance of guaranteeing the elder people and the next generations a good quality of life and biopsychological well-being. However, nowadays, there is not a common and accepted definition of ageing. This situation may refer to the complexity and relevance of the ageing topic and it means that the concept of ageing needs to be understood in a deeper way as a multidimensional and complex process that includes different elements distinctive. The main goal of this review is to explore the definitions and conceptual models of ageing according to a psychological point of view, through a biopsychosocial approach, that integrates biological, psychological, and social aspects with the main goal of a better understanding of the complexity of the process itself. Methods: We conducted a review of the literature through PubMed, Scopus, Web of Science and Google Scholar databases, and we followed the PRISMA-ScR guidelines, analysing papers written in English between 2002 and 2023. Results: The review showed different conceptual models of ageing, including Rowe and Kahn’s successful ageing model, the World Health Organization’s models, and others like the “Selection, Optimization and Compensation” Model. Also, the determinants and predictors of ageing have been analysed highlighting the individual variability and the multidimensional nature of ageing. The geographic diversity of the included studies allowed for the analysis of cultural, socioeconomic, and environmental differences in the conceptualisation of ageing. Conclusions: The results emphasise the importance of targeted interventions and programs aimed at promoting well-being during ageing, considering the complexity and multidimensionality of the ageing process.
The Functional Efficiency of Older Patients after Lumbar Spine Surgery, the Impact of Pain, and the Passage of Time: Tips for Care Providers
Authors: Mendyka Luiza , Tobis Sławomir , Talarska-Kulczyk Patrycja , Ryszewska-Łabędzka Dorota , Strugała Magdalena , Szewczyczak Marlena , Talarska Dorota
Published: August 2024

Chronic back pain in adults is often a cause of absenteeism from work, limitations in social interactions, and difficulties in performing daily activities. This study aimed to check whether the functioning of everyday activities in elderly patients after neurosurgery improved over time compared to their condition before the procedure and whether there is a connection between fitness, self-esteem, and pain intensity. This was a cross-sectional study carried out using an anonymous survey. This study included patients over 60 years of age from the neurosurgical ward. The following scales were used to assess cognitive functioning, depression, functional status: basic and instrumental activities of daily living (IADL), back pain disability (QBPDS), pain intensity, and self-esteem. The level of independence in terms of IADL and QBPDS increased, and the intensity of pain decreased. Surgery reduced pain intensity from 8 ± 0.8 to 6.1 ± 1.4 points. The level of self-esteem (RSES) remained at a low level. The passage of time after neurosurgical treatment has a beneficial effect on reducing pain intensity and increasing independence in life activities. Daily physical activity and rehabilitation are important factors supporting the return to independence.
Exploring the Added Value of Sub-Daily Bias Correction of High-Resolution Gridded Rainfall Datasets for Rainfall Erosivity Estimation
Authors: Yonaba Roland , Mounirou Lawani Adjadi , Keïta Amadou , Fowé Tazen , Zouré Cheick Oumar , Belemtougri Axel , Kafando Moussa Bruno , Koïta Mahamadou , Karambiri Harouna , Yacouba Hamma
Published: August 2024

This study evaluates the impact of sub-daily bias correction of gridded rainfall products (RPs) on the estimation rainfall erosivity in Burkina Faso (West African Sahel). Selected RPs, offering half-hourly to hourly rainfall, are assessed against 10 synoptic stations over the period 2001–2020 to appraise their accuracy. The optimal product (the integrated multi-satellite retrievals for GPM, IMERG) is further used as a reference for bias correction, to adjust the rainfall distribution in the remaining RPs. RPs-derived rainfall erosivity is compared to the global rainfall erosivity database (GloREDa) estimates. The findings indicate that bias correction improves the rainfall accuracy estimation for all RPs, in terms of quantitative, categorial metrics and spatial patterns. It also improved the distributions of rainfall event intensities and duration across all products, which further significantly improved the annual rainfall erosivity estimates at various timescales along with spatial patterns across the country, as compared to raw RPs. The study also highlights that bias correction is effective at aligning annual trends in rainfall with those in rainfall erosivity derived from RPs. The study therefore underscores the added value of bias correction as a practice for improving the rainfall representation in high-resolution RPs before long-term rainfall erosivity assessment, particularly in data-scarce regions vulnerable to land degradation.
The Impact of Airbnb on Long-Term Rental Markets in San Francisco: A Geospatial Analysis Using Multiscale Geographically Weighted Regression
Authors: Hur Dongkeun , Lee Seonjin , Kim Hany
Published: August 2024

The rapid proliferation of peer-to-peer short-term vacation rentals has sparked a debate regarding their impact on housing markets. This study further investigates this issue by examining the effect of Airbnb on relative rent costs in San Francisco. The research addresses a critical gap in understanding whether Airbnb financially burdens local renters within different income groups. The authors also differentiated the effect of Airbnb accommodations with different levels of commercialization by categorizing Airbnb listings based on their level of commercialization. Using the multiscale geographically weighted regression technique, this study also considered spatial variations in the relationship between short- and long-term rental markets. The findings indicate that the density of Airbnb only affects the relative rent of renters with a yearly household income between USD 50,000 and USD 75,000. Furthermore, the density of Airbnb listings from more commercialized hosts that own between three and eleven showed a positive relationship with the relative rent cost. This study highlighted the variability in the impact of Airbnb on the local community by income group, listing characteristic, and geographic region. This finding underscores the need for differentiated regulation toward peer-to-peer accommodations, as the impact on rent affordability varies by host commercialization level and renter income group.
Advancements in Deep Learning Techniques for Time Series Forecasting in Maritime Applications: A Comprehensive Review
Authors: Wang Meng , Guo Xinyan , She Yanling , Zhou Yang , Liang Maohan , Chen Zhong Shuo
Published: August 2024

The maritime industry is integral to global trade and heavily depends on precise forecasting to maintain efficiency, safety, and economic sustainability. Adopting deep learning for predictive analysis has markedly improved operational accuracy, cost efficiency, and decision-making. This technology facilitates advanced time series analysis, vital for optimizing maritime operations. This paper reviews deep learning applications in time series analysis within the maritime industry, focusing on three areas: ship operation-related, port operation-related, and shipping market-related topics. It provides a detailed overview of the existing literature on applications such as ship trajectory prediction, ship fuel consumption prediction, port throughput prediction, and shipping market prediction. The paper comprehensively examines the primary deep learning architectures used for time series forecasting in the maritime industry, categorizing them into four principal types. It systematically analyzes the advantages of deep learning architectures across different application scenarios and explores methodologies for selecting models based on specific requirements. Additionally, it analyzes data sources from the existing literature and suggests future research directions.
Automated Negotiation Agents for Modeling Single-Peaked Bidders: An Experimental Comparison
Authors: Hassanvand Fatemeh , Nassiri-Mofakham Faria , Fujita Katsuhide
Published: August 2024

During automated negotiations, intelligent software agents act based on the preferences of their proprietors, interdicting direct preference exposure. The agent can be armed with a component of an opponent’s modeling features to reduce the uncertainty in the negotiation, but how negotiating agents with a single-peaked preference direct our attention has not been considered. Here, we first investigate the proper representation of single-peaked preferences and implementation of single-peaked agents within bidder agents using different instances of general single-peaked functions. We evaluate the modeling of single-peaked preferences and bidders in automated negotiating agents. Through experiments, we reveal that most of the opponent models can model our benchmark single-peaked agents with similar efficiencies. However, the accuracies differ among the models and in different rival batches. The perceptron-based P1 model obtained the highest accuracy, and the frequency-based model Randomdance outperformed the other competitors in most other performance measures.
Assessment of Customers’ Evaluations of Service Quality in Live-Streaming Commerce: Conceptualizing and Testing a Multidimensional and Hierarchical Model
Authors: Ho Chaang-Iuan , Liu Yaoyu , Chen Ming-Chih
Published: August 2024

Live-streaming commerce (LSC) is a new shopping method that combines the characteristics of social commerce and e-commerce. Since the global coronavirus disease 2019 (COVID-19) outbreak, the number of branded platforms is growing rapidly, and their competition is fiercer than ever. Understanding consumer needs and improving service quality have become the key issues for survival. This study aims to develop and empirically validate a multidimensional hierarchical model for measuring service quality on LSC platforms. A hierarchical reflective construct was proposed to capture dimensions based on the literature on e-retail and social commerce service quality. The proposed model was rigorously tested using two waves of survey data through the partial least squares method. Results showed that the service quality of LSC is a third-order, reflective construct and includes five primary dimensions (the streamer’s interaction quality, physical environment, website quality, outcome quality, and ordering process) and twelve sub-dimensions (trustworthiness, expertise, responsiveness, telepresence, consumption scenarios, information quality, system operation quality, fulfillment and refund/compensation, privacy/security, contact, and ease of use). Findings also supported the hypothesis that service quality has a significant impact on customers’ satisfaction and their behavioral intentions. Furthermore, we tested an alternative model, and the results showed that the relationship between dimensions and overall assessment is reflective rather than formative. We offered directions for further research on LSC service quality and discussed managerial implications stemming from the empirical findings.
Towards an Innovative Model for Cybersecurity Awareness Training
Authors: Taherdoost Hamed
Published: August 2024

The rapid evolution of cybersecurity threats poses a significant challenge to organizations and individuals, necessitating strengthening defense mechanisms against malicious operations. Amidst this ever-changing environment, the importance of implementing efficacious cybersecurity awareness training has escalated dramatically. This paper presents the Integrated Cybersecurity Awareness Training (iCAT) model, which leverages knowledge graphs, serious games, and gamification to enhance cybersecurity training. The iCAT model’s micro-learning module increases flexibility and accessibility, while real-time progress monitoring and adaptive feedback ensure effective learning outcomes. Evaluations show improved participant engagement and knowledge retention, making iCAT a practical and efficient solution for cybersecurity challenges. With an emphasis on adaptability and applicability, iCAT provides organizations in search of accessible and efficient cybersecurity awareness training with a streamlined approach.
A Novel Deep Learning Approach for the Automatic Diagnosis of Acute Appendicitis
Authors: Dogan Kamil , Selcuk Turab
Published: August 2024

Background: Acute appendicitis (AA) is a major cause of acute abdominal pain requiring surgical intervention. Approximately 20% of AA cases are diagnosed neither early nor accurately, leading to an increased risk of appendiceal perforation and postoperative sequelae. AA can be identified with good accuracy using computed tomography (CT). However, some studies have found that a false-negative AA diagnosis made using CT can cause surgical therapy to be delayed. Deep learning experiments are aimed at minimizing false-negative diagnoses. However, the success rates reported in these studies are far from 100%. In addition, the methods used to divide patients into groups do not adequately reflect situations in which accurate radiological diagnosis is difficult. Therefore, in this study, we propose a novel deep-learning approach for the automatic diagnosis of AA using CT based on establishing a new strategy for classification according to the difficulties encountered in radiological diagnosis. Methods: A total of 266 patients with a pathological diagnosis of AA who underwent appendectomy were divided into two groups based on CT images and radiology reports. A deep learning analysis was performed on the CT images and clinical and laboratory parameters that contributed to the diagnosis of both the patient and age- and sex-adjusted control groups. Results: The deep learning diagnosis success rate was 96% for the group with advanced radiological findings and 83.3% for the group with radiologically suspicious findings that could be considered normal. Conclusions: Using deep learning, successful results can be achieved in cases in which the appendix diameter has not increased significantly and there is no significant edema effect.
Bicuspid Aortic Valve Disease: From Pathophysiology to Treatment
Authors: Katsaros Odysseas , Ktenopoulos Nikolaos , Korovesis Theofanis , Benetos Georgios , Apostolos Anastasios , Koliastasis Leonidas , Sagris Marios , Milaras Nikias , Latsios George , Synetos Andreas , Drakopoulou Maria , Tsalamandris Sotirios , Karanasos Antonios , Tsioufis Konstantinos , Toutouzas Konstantinos
Published: August 2024

The Bicuspid Aortic Valve (BAV) is the most common congenital anomaly in adults, with a global incidence of 1.3%. Despite being well documented, BAV presents significant clinical challenges due to its phenotypic heterogeneity, diverse clinical manifestations, and variable outcomes. Pathophysiologically, BAV differs from tricuspid valves in calcification patterns and hemodynamic effects, leading to increased shear stress and aortic root dilatation, while it is influenced by genetic and hemodynamic factors. This is why therapeutically, BAV presents challenges for both surgical and transcatheter interventions, with surgical approaches being traditionally preferred, especially when aortopathy is present. However, transcatheter aortic valve implantation (TAVI) has emerged as a viable option, with studies showing comparable outcomes to surgery in selected patients, while advancements in TAVI and a better understanding of BAV’s genetic and pathophysiological nuances are expanding treatment options. The choice between mechanical and bioprosthetic valves also presents considerations, particularly regarding long-term durability and the need for anticoagulation. Future research should focus on long-term registries and genetic studies to refine therapeutic strategies and improve patient outcomes. This review aims to evaluate current approaches in the surgical and interventional management of BAV, focusing on its anatomy, pathogenesis, pathophysiology, and therapeutic strategies.
Circulating Endothelin 1 but Not Transforming Growth Factor-β Levels Are Reduced after Pulmonary Endarterectomy in Subjects Affected by Chronic Thromboembolic Pulmonary Hypertension: A Prospective Cohort Study
Authors: Totaro Pasquale , Tirelli Claudio , De Amici Mara , Grosjean Fabrizio , Testa Giorgia , Sacchi Lucia , De Silvestri Annalisa , Alloni Alessia , Kushta Eraldo , Albertini Riccardo , Rampino Teresa , D’Armini Andrea Maria
Published: August 2024

Background and objectives: Endothelin-1 (ET-1) and transforming growth factor-β (TGF-β) play a pivotal role in the pathophysiology and vascular remodeling of chronic thromboembolic pulmonary hypertension (CTEPH) which is an under-diagnosed complication of acute pulmonary embolism (PE). Currently, pulmonary endarterectomy (PEA) is still the treatment of choice for selected patients suffering from CTEPH. The aim of this study was to evaluate the preoperative and postoperative circulating levels of ET-1 and TGF-β in subjects affected by CTEPH undergoing successful surgical treatment by PEA. Methods: The data from patients diagnosed with CTEPH who underwent PEA at the Foundation IRCCS Policlinico San Matteo Hospital (Pavia, Italy) were prospectively recorded in the Institutional database. Circulating ET-1 and TGF-β levels were assessed by an ELISA commercial kit before PEA, at 3 months and 1 year after PEA. The demographic data, preoperatory mean pulmonary arterial pressure (mPAP), cardiac output (CO), and pulmonary vascular resistance (PVR) were also recorded. Univariate and multivariate analyses were performed. Results: The analysis included 340 patients with complete ET-1 measurements and 206 patients with complete TGF-β measurements. ET-1 significantly decreased both at 3 months (p < 0.001) and at 1 year (p = 0.009) after PEA. On the other hand, preoperatory TGF-β levels did not significantly change after PEA. Furthermore, ET-1, but not TGF-β, was a good predictor for increased mPAP in multivariate analyses (p < 0.05). Conclusions: ET-1 but not TGF β was significantly modulated by PEA in subjects affected by CTEPH up to 1 year after surgery. The mechanisms leading to prolonged elevated circulating TGF-β levels and their clinical significance have to be further elucidated.
Distal Junctional Failure: A Feared Complication of Multilevel Posterior Spinal Fusions
Authors: Ghailane Soufiane , Bouloussa Houssam , Fernandes Marques Manuel , Castelain Jean-Etienne , Challier Vincent , Campana Matthieu , Jacquemin Clément , Vital Jean-Marc , Gille Olivier
Published: August 2024

Objectives: Distal junctional failure (DJF) is less commonly described than proximal junctional failure following posterior spinal fusion, and particularly adult spinal deformity (ASD) surgery. We describe a case series of patients with DJF, taking into account sagittal spinopelvic alignment, and suggest potential risk factors in light of the current literature. Methods: We performed a single-center, retrospective review of posterior spinal fusion patients with DJF who underwent subsequent revision surgery between June 2009 and January 2019. Demographics and surgical details were collected. Radiographical measurements included the following: preoperative and postoperative sagittal and coronal alignment for each index or revision surgery. The upper-instrumented vertebra (UIV), lower instrumented vertebra (LIV), and fusion length were recorded. Results: Nineteen cases (64.7 ± 13.5 years, 12 women, seven men) were included. The mean follow-up was 4.7 ± 2.4 years. The number of instrumented levels was 6.79 ± 2.97. Among the patients, 84.2% (n = 16) presented at least one known DJF risk factor. LIV was frequently L5 (n = 10) or S1 (n = 2). Six patients had an initial circumferential fusion at the distal end. Initial DJFs were vertebral fracture distal to the fusion (n = 5), screw pull-out (n = 9), spinal stenosis (n = 4), instability (n = 4), and one early DJK. The distal mechanical complications after a first revision included screw pull-out (n = 4), screw fracture (n = 3), non-union (n = 2), and an iatrogenic spondylolisthesis. Conclusions: In this case series, insufficient sagittal balance restoration, female gender, osteoporosis, L5 or S1 LIV in long constructs were associated with DJF. Restoring spinal balance and circumferentially fusing the base of constructs represent key steps to maintain correction and prevent revisions.
Ranolazine Unveiled: Rediscovering an Old Solution in a New Light
Authors: De Santis Giulia Azzurra , De Ferrari Tommaso , Parisi Francesca , Franzino Marco , Molinero Agustin Ezequiel , Di Carlo Alessandro , Pistelli Lorenzo , Vetta Giampaolo , Parlavecchio Antonio , Torre Marco , Parollo Matteo , Mansi Giacomo , Tamborrino Pietro Paolo , Canu Antonio , Grifoni Gino , Segreti Luca , Di Cori Andrea , Viani Stefano Marco , Zucchelli Giulio
Published: August 2024

Ranolazine is an anti-anginal medication that has demonstrated antiarrhythmic properties by inhibiting both late sodium and potassium currents. Studies have shown promising results for ranolazine in treating both atrial fibrillation and ventricular arrhythmias, particularly when used in combination with other medications. This review explores ranolazine’s mechanisms of action and its potential role in cardiac arrhythmias treatment in light of previous clinical studies.
The Use of 3D Printing in Fetal Surgery for Surgical Planning: A Scoping Review
Authors: Fils Aaron J. , Kasmirski Julia , Okpaise Oluwateniayo , Reynolds John M. , Tonni Gabriele , Werner Heron , Ruano Rodrigo
Published: August 2024

Objectives: We sought to identify in which clinical scenarios 3D printed models are used to plan for fetal surgeries as well as the main purpose and the imaging method utilized for the models. In addition, we describe benefits and shortcomings of the models, as well as potential future improvements. Methods: In this scoping review, data were collected retrospectively from scientific databases (PubMed, Embase, Cochrane CENTRAL, CINAHL, Scopus, and the Web of Science platform) and screened by title, abstract, and full text against strict criteria. The inclusion criteria required the study be performed on a live fetus and involve 3D models used for fetal surgery. The models must have been designed from diagnostic imaging modalities such as CT, MRI, or ultrasound. The articles considered include clinical trials, review articles, cohort studies, case series, case reports, and conference abstracts. Results: Of the initial 742 articles collected, six met the inclusion criteria. Spina bifida and EXIT procedures were the most frequent use cases that inspired surgeons to print models for surgical planning. The ability to view patient-specific anatomy in a 3D handheld model was often touted as providing a great benefit to the surgical team’s ability to anticipate intraoperative challenges. Conclusions: Three-dimensional printing models have been applied to plan for fetal surgeries, more specifically, for EXIT procedures and fetoscopic surgical repair of spina bifida. The potential benefits of 3D printing in fetal surgery are enormous.
The Effect of Alternating Monocular Instillation of 0.125% Atropine in Korean Children with Progressive Myopia
Authors: Min Ji Sang , Min Byung Moo
Published: August 2024

Objectives: To identify the effect of alternating monocular instillation (AMI) of 0.125% atropine in Korean children with progressive myopia. Methods: This retrospective single-center study included 120 children with progressive myopia. A total of 60 children (mean age 9.2 ± 2.0 years) wearing glasses who received AMI of 0.125% atropine for one year were allocated to the treatment group. The remaining 60 children (mean age 9.2 ± 1.9 years) with the same refraction, SE, and axial length (AL) who did not receive any treatments except for wearing glasses were allocated to the control group. Ocular findings and the progression rate were compared between the groups pre- and post-treatment, and adverse events were investigated in the treatment group. Results: The mean spherical equivalent (SE) at baseline was −3.87 ± 1.55 D in the control group and −3.90 ± 1.56 D in the treatment group. Pre-treatment SE, age, and AL were similar between the groups; however, post-treatment SE and AL changes were smaller in the treatment group (−0.36 ± 0.46 D/y, 0.21 ± 0.20 mm/year in the treatment group vs. −1.02 ± 0.57 D/y, 0.51 ± 0.20 mm/year in the control group) (Ps < 0.001). The pre-treatment progression rate diminished in the treatment group compared to the control group after one year (p < 0.001), and the changes in pupil size under mesopic and photopic conditions in the treatment group increased by 0.03 ± 0.05 mm and 0.76 ± 0.90 mm, respectively. Regarding adverse events, a tingling sensation was noted in two patients (3.3%) in the treatment group. Conclusions: Alternating monocular 0.125% atropine eye drop instillation may be effective and suitable for progressive myopia in Korean children.
Intravitreal Dexamethasone Implant Switch after Anti-VEGF Treatment in Patients Affected by Retinal Vein Occlusion: A Review of the Literature
Authors: Vitiello Livio , Lixi Filippo , Coppola Alessia , Abbinante Giulia , Gagliardi Vincenzo , Salerno Giulio , De Pascale Ilaria , Pellegrino Alfonso , Giannaccare Giuseppe
Published: August 2024

Nowadays, retinal vein occlusion (RVO) is the second most prevalent cause of vision loss associated with retinal vascular disease. Intravitreal injections are currently known as a major advancement in ophthalmology, particularly in the treatment of RVO and other retinal disorders. Particularly, the first line of therapy is usually anti-vascular endothelial growth factor (VEGF) drugs. Notably, for RVO eyes that have not responded to anti-VEGF therapy, an intravitreal dexamethasone (DEX) implant 0.7 mg (Ozurdex®, AbbVie Inc., North Chicago, IL, USA) is considered a suitable therapeutical substitute. Actually, investigations carried out in the real world and clinical trials have shown the safety and the efficacy of intravitreal DEX implants for treating this retinal disease. For this reason, choosing patients carefully may thus be essential to reduce the number of injections that clinics and hospitals have to do to manage RVO and its complications. The primary aim of this review is to summarize the pathophysiology of this retinal vascular disease, as well as the clinical and ocular imaging features that may support a switch from prior anti-VEGF treatment to intravitreal DEX implant, to provide the RVO patients with the best possible treatment to ensure maximum visual recovery.
Enhancement of Additively Manufactured Bagasse Fiber-Reinforced Composite Material Properties Utilizing a Novel Fiber Extraction Process Used for 3D SLA Printing
Authors: Bhuiyan Md. Shahnewaz , Fardin Ahmed , Rahman M. Azizur , Mohiv Arafath , Islam Rashedul , Kharshiduzzaman Md. , Khan Md. Ershad , Haque Mohammad Rejaul
Published: August 2024

The growing interest in sustainable and biodegradable materials has prompted significant attention towards natural fiber-reinforced composites (FRC) due to their lower environmental impacts. In a similar sustainable vein, this study fabricated composite materials utilizing bagasse fibers with the 3D SLA (Stereolithography) printing method. To start with, a novel fiber extraction process was adopted for extracting fiber from the bagasse stem in three distinct methods (Process-1, Process-2, and Process-3). The fiber extraction process includes washing, sun-drying, manual collection of rind fibers, immersion of rind fibers in NaOH at specific concentrations for specific durations, combing, and drying. In Process-1, the rind fibers were immersed in 5% NaOH for 15 h, while in Process-2 and Process-3, the rind fibers were immersed in 1% NaOH, but the soaking time varied: 25 h for Process-2 and 18 h for Process-3.for 25 h, and in Process-3, the rind fibers were immersed in 1% NaOH for 18 h. The resulting bagasse fibers underwent comprehensive property assessment with a focus on functional group analysis, diameter measurement, and tensile strength assessment. Subsequently, these fibers were used to fabricate composite materials via the 3D SLA printing technique after being treated in a NaOH solution. The Fourier Transform Infrared (FTIR) Spectroscopy results clearly showed that a fraction of hemicellulose and lignin was removed by NaOH, resulting in improved tensile strength of the bagasse fibers. Three-dimensional-printed composites reinforced with bagasse fibers extracted through the P1 method showed the highest improvement in tensile strength (approximately 70%) compared to specimens made from pure resin. The lack of pores in the composite and the observable fiber fracture phenomena clearly indicate that 3D printing technology effectively enhances the quality of the interface between the fiber and the matrix interfacial bonding, consequently resulting in improved tensile properties of the composites. The 3D-printed composites reinforced with bagasse fiber showcased impressive tensile properties and provided solutions to the limitations of traditional composite manufacturing methods. This sets the stage for developing innovative composite materials that combine natural fibers with cutting-edge fabrication techniques, offering a promising path to tackle present and future economic and ecological challenges.
From Data to Insight: Machine Learning Approaches for Fish Age Prediction in European Hake
Authors: Klaoudatos Dimitris , Vlachou Maria , Theocharis Alexandros
Published: August 2024

The European hake (Merluccius merluccius) is a highly sought after, overfished commercial species with a high ecological value. Otolith morphometric characteristics were employed from 150 individuals captured from the Central Aegean Sea (Eastern Mediterranean) using a commercial trawler. Age reading was independently performed by three readers. A multivariate methodology identified the morphometric factors that significantly affect age estimation, and easy to use equations using limited morphological otolith characteristics with a high degree of accuracy were produced as a practical tool for fisheries management. A second tool using ML algorithms produced a highly accurate ML model with the ability to further predict European hake’s age using limited otolith morphometric characteristics. Both tools are important for assessing fish population dynamics, managing sustainable fishing practices, and ensuring the long-term health of marine ecosystems. Practically, the models could be implemented by collecting fish otolith samples, measuring limited morphometric features using imaging techniques, and inputting these measurements into the machine learning model. Both model outputs will allow researchers and fisheries managers to obtain rapid and reliable age estimates without the need for labor-intensive traditional methods. By integrating these models into routine fisheries assessment workflows, stakeholders could make more informed decisions about fish stock assessments and conservation strategies.
Review of Implosion Design Considerations for Underwater Composite Pressure Vessels
Authors: Matos Helio , Ngwa Akongnwi Nfor , Chaudhary Birendra , Shukla Arun
Published: August 2024

The implosion of underwater composite structures is a critical and complex engineering problem, necessitating high-strength, lightweight, and corrosion-resistant materials for deep-sea applications. This manuscript reviews the intricate failure mechanisms of composite structures, focusing on cylindrical structures under extreme underwater conditions. The recent Titan submersible implosion serves as a case study, highlighting the significance of rigorous design considerations. Key topics include material degradation, buckling instability, and material failure, with a detailed analysis of composite layup optimization and manufacturing processes such as filament winding and roll wrapping. The manuscript underscores the need for comprehensive testing, advanced simulation techniques, and monitoring system integration to ensure the safety and effectiveness of composite pressure hulls. Future research should focus on developing more accurate failure models, optimizing manufacturing processes, and enhancing material properties through innovations in composite science to realize the full potential of composite materials in deep-sea applications.
Consumers’ Financial Knowledge in Central European Countries in the Light of Consumer Research
Authors: Gębski Łukasz , Daw Georges
Published: August 2024

Consumer protection in the financial market has several dimensions. From a formal point of view, consumer rights are guaranteed by law. Educational programs are implemented in schools and the media to promote knowledge and responsible use of financial products and services. Despite the efforts made, the number of incorrect and suboptimal financial decisions is so high that the risk of households falling into excessive debt remains significant. The limited effectiveness of the law led to the claim that only effective education can reduce the risk of suboptimal financial decisions. Unfortunately, the efforts made in this area are not fully satisfactory. The study of financial knowledge of consumers, which was conducted in Poland in January 2024, aimed to verify consumer errors and their nature. As part of the consumer study, not only declared knowledge was verified, but also actual knowledge. The researchers’ doubts resulted from a comparison of the results of scientific research in this area with the current market situation. Consumers declare a high level of knowledge of economic and financial concepts. In practice, however, they make mistakes that do not only indicate behavioral cognitive errors but also a lack of knowledge. The test questions were constructed in such a way as to verify the declared knowledge (based on verification questions). These showed that the actual level of knowledge was lower than the declared one. A review of the literature and studies of financial knowledge and financial competence of consumers in Central European countries was also carried out. Analysis of the results allowed for the formulation of conclusions regarding the educational gap in relation to social characteristics. The conclusions resulting from the study raise questions about the effectiveness of the educational methods used and indicate possible directions of changes in the consumer regulation policy, the aim of which is to ensure a high level of consumer protection.
A Review of Multi-UAV Task Allocation Algorithms for a Search and Rescue Scenario
Authors: Ghauri Sajjad A. , Sarfraz Mubashar , Qamar Rahim Ali , Sohail Muhammad Farhan , Khan Sheraz Alam
Published: August 2024

Unmanned aerial vehicles (UAVs) play a crucial role in enhancing search and rescue (SAR) operations by accessing inaccessible areas, accomplishing challenging tasks, and providing real-time monitoring and modeling in situations where human presence is unsafe. Multi-UAVs can collaborate more efficiently and cost-effectively than a single large UAV for performing SAR operations. In multi-UAV systems, task allocation (TA) is a critical and complex process involving cooperative decision making and control to minimize the time and energy consumption of UAVs for task completion. This paper offers an exhaustive review of both static and dynamic TA algorithms, confidently assessing their strengths, weaknesses, and limitations. It provides valuable insights into addressing research questions related to specific UAV operations in SAR. The paper rigorously discusses outstanding issues and challenges and confidently presents potential directions for the future development of task assignment algorithms. Finally, it confidently highlights the challenges of multi-UAV dynamic TA methods for SAR. This work is crucial for gaining a comprehensive understanding of multi-UAV dynamic TA algorithms and confidently emphasizes critical open issues and research gaps for future SAR research and development, ensuring that readers feel informed and knowledgeable.
Introducing the Special Issue Terminology in the Digital World
Authors: Di Nunzio Giorgio Maria , Costa Rute , Vezzani Federica
Published: August 2024

This Special Issue is dedicated to the 2nd International Conference on “Multilingual digital terminology today: Design, representation formats, and management systems” (MDTT 2023) (Di Nunzio et al [...]
Albanian as a Heritage Language in Italy: A Case Study on Code-Switching within DP
Authors: Cocchi Gloria , Pierantozzi Cristina
Published: August 2024

In this pilot work, we are going to discuss several aspects concerning the Albanian language spoken in the Italian territory by immigrants of different generations. After an excursus on heritage languages in general, and Albanian as a heritage language in particular, we present the results of both a sociolinguistic and a linguistic survey conducted among some Albanian immigrants in Italy. The former aims at investigating the contexts of use of Albanian and Italian languages, the participants’ competence in both of them and their attitude towards code-switching. The latter is focused on the participants’ judgments of the acceptability of different types of mixed Italian–Albanian DPs, i.e., DPs where D and N are expressed in different languages, and the theoretical implications that emerge.
Growth Characteristics of a Desmodesmus Species from the San Antonio Springs and Its Short-Term Impact on Soil Microbial Dynamics
Authors: Bomer Lauren K. , Leverett Betsy D.
Published: August 2024

A new Desmodesmus species was isolated from the largest of the San Antonio Springs, the Blue Hole, in San Antonio, Texas, and characterized for its potential applications in sustainable agriculture. The xenic isolate (XB) was established by enrichment and subcultured to produce the axenic isolate (AxB), which was identified based on morphological features and DNA profiling, confirming its close phylogenetic relationship with Desmodesmus spp. Growth characteristics, biomass composition, and pigment profiles were assessed for both the xenic and axenic isolates along with their growth in saline conditions and a range of seasonal Texas temperatures. Both Desmodesmus XB and Desmodesmus AxB exhibited optimal growth at 25 °C as well as robust growth at 37 °C and in weakly saline media (5 g/kg NaCl). Biomass analysis revealed levels of carbohydrates, proteins, lipids, chlorophylls, and carotenoids comparable to other desmids and pigment profiles supported the Desmodesmus classification. Soil studies demonstrated the persistence of Desmodesmus XB and influence on microbial activity, indicating the potential of this isolate for agricultural applications such as soil remediation.
Development of the PD9-9 Monoclonal Antibody for Identifying Porcine Bone Marrow-Derived Dendritic Cells
Authors: Kim Sang Eun , Kim Young Kyu , Oh Keon Bong , Hwang Jeong Ho
Published: August 2024

The purpose of this study was to develop a monoclonal antibody (mAb) that can identify porcine dendritic cells (DCs) that have differentiated from bone marrow progenitor cells. Hybridoma technology was used to obtain mAbs, and bone marrow-derived DCs (BMDCs) were employed as immunogens for producing antibodies. The generated PD9-9 mAbs exhibited considerable reactivity towards porcine BMDCs with applications in flow cytometry and immunostaining. The antibody was composed of heavy immunoglobulin gamma-1 chains and light kappa chains. The PD9-9 mAb recognized fully differentiated porcine BMDCs and cells undergoing DC differentiation. In contrast, bone marrow cells and macrophages were not recognized by PD9-9. In addition, the PD9-9 mAb promoted porcine DC proliferation. Consequently, the PD9-9 mAb may be a biomarker for porcine DCs and will be advantageous for investigating porcine DC biology.
Adsorption Technology for PFAS Removal in Water: Comparison between Novel Carbonaceous Materials
Authors: Petrangeli Papini Marco , Senofonte Marta , Cuzzola Riccardo Antonino , Remmani Rania , Pettiti Ida , Riccardi Carmela , Simonetti Giulia
Published: August 2024

PFASs are a variety of ecologically persistent compounds of anthropogenic origin loosely included in many industrial products. In these, the carbon chain can be fully (perfluoroalkyl substances) or partially (polyfluoroalkyl substances) fluorinated. Their ubiquitous presence in many environmental compartments over the years and their long-lasting nature have given rise to concerns about the possible adverse effects of PFASs on ecosystems and human health. Among a number of remediation technologies, adsorption has been demonstrated to be a manageable and cost-effective method for the removal of PFASs in aqueous media. This study tested two novel and eco-friendly adsorbents (pinewood and date seeds biochar) on six different PFASs (PFOS, GenX, PFHxA, PFOA, PFDA, and PFTeDA). Batch sorption tests (24 h) were carried out to evaluate the removal efficiency of each PFAS substance in relation to the two biochars. All samples of liquid phase were analyzed by a developed and then a well-established method: (i) pre-treatment (centrifugation and filtration) and (ii) determination by high-performance liquid chromatography coupled with mass spectrometry (HPLC-MS/MS). The results evidenced a comparable adsorption capacity in both materials but greater in the long-chain PFASs. Such findings may lead to a promising path towards the use of waste-origin materials in the PFAS remediation field.
The Effect of Long-Term Aging on the Microstructure and Properties of a Novel Nickel-Based Powder Superalloy FGH4113A
Authors: Xiong Jiangying , Yin Chao , Wang Chong , Feng Ganjiang , Guo Jianzheng
Published: August 2024

This study investigates the microstructural evolution and its effect on the fatigue performance of a novel nickel-based powder superalloy FGH4113A (WZ-A3) after long-term aging at 760 °C and 815 °C. The results show that long-term aging both at 760 °C and 815 °C has no significant effect on the grain size and morphology of the alloy. After aging at 760 °C for up to 2020 h, the size of the γ′ phase remains unchanged, and its morphology transitions from nearly square to nearly spherical. During long-term aging at 815 °C for 440 h, γ′ phase coarsening and spheroidizing occur simultaneously. With prolonged aging time, the size and spheroidization degree of the γ′ phase further increase. During long-term aging up to 440 h at 760 °C, the dispersed granular MC and M6C carbides dissolve and re-precipitate. By 2020 h of aging, flocculent carbides precipitate and non-continuous M6C and M23C6 accumulate at grain boundaries. After long-term aging at 815 °C for 440 h, flocculent carbides begin to precipitate within the grains. By 2020 h of aging, a large amount of flocculent carbides precipitate with significant coarsening and enrichment of the grain boundary carbides. Due to the insignificant coarsening of the γ′ phase as well as the enrichment and precipitation of the grain boundary carbides, the fatigue performance of the alloy decreases slightly after long-term aging.
Characterization and Modeling of Out-of-Plane Behavior of Fiber-Based Materials: Numerical Illustration of Wrinkle in Deep Drawing
Authors: Sanjon Cedric W. , Leng Yuchen , Yan Yi , Groche Peter , Hauptmann Marek , Ludat Nicole , Majschak Jens-Peter
Published: August 2024

The characterization and modeling of the out-of-plane behavior of fiber-based materials is essential for understanding their mechanical properties and improving their performance in various applications, especially in the forming process. Despite this, research on paper and paperboard has mainly focused on its in-plane behavior rather than its out-of-plane behavior. However, for accurate material characterization and modeling, it is critical to consider the out-of-plane behavior. In particular, delamination occurs during forming processes such as creasing, folding, and deep drawing. In this study, three material models for paperboard are presented: a single all-material continuum model and two composite models using different cohesion methods. The two composite models decouple in-plane and out-of-plane behavior and consist of continuum models describing the behavior of individual layers and cohesive interface models connecting the layers. Material characterization experiments are performed to derive the model parameters and verify the models. The models are validated using three-point bending and bulge tests and show good agreement. A case study is also conducted on the application of the three models in the simulation of a deep drawing process with respect to wrinkle formation. By comparing the simulation results of wrinkle formation in the deep drawing process, the composite models, especially the cohesive interface composite model, show greater accuracy in replicating the experimental results, indicating that a single continuum model can also be used to represent wrinkles.
Fabrication of Helical Carbon Fiber Skeleton Using Arc Glow Discharge Method
Authors: Chen Xiye , Chen Haiyong , Bao Yongjun , Meng Yuhan , Jiang Zhigang
Published: August 2024

An arc glow discharge device was used to prepare a helical carbon fiber skeleton with helical carbon fibers hooked to each other by spraying a hydrogen and ethanol mixture onto the iron wire substrate through the discharge area, using anhydrous ethanol as the carbon source. The samples were characterized by SEM, EDS, Raman and XPS. A growth mechanism of helical carbon fiber driven by C sp3 was proposed. The various growth modes of carbon fiber during the formation of carbon fiber skeleton were investigated. A ring appearance that indicated a change in the direction of carbon fiber growth was observed. And double helical carbon fiber was constructed from single helical carbon fiber in two ways. Super-large carbon fiber with a diameter of about 13 μm was observed, and it was speculated that this super-large carbon fiber is the backbone of the carbon fiber skeleton. The mechanical properties of the carbon fiber skeleton are isotropic.