bluuebunny/crossref_metadata_2025 huggingface dataset:
Design and Efficacy of Custom-Made Cleaning Splints for the Approximal Plaque Removal—A Laboratory Study
Authors: Rues Stefan , Becker Theresa , Bartha Valentin , Spindler Marcia , Hetzler Sebastian , Wolff Diana , Rammelsberg Peter , Zenthöfer Andreas
Published: December 2024

Objectives: Cleaning splints (CSs) can facilitate interdental brush (IDB) insertion and guide IDBs during cleaning movement. Cleaning efficacy with and without CSs was to be assessed and compared for a fully dentate (FD) and a partially edentulous (PE) situation. Methods: For two maxillary typodont models simulating either an FD situation or a PE situation with every second tooth missing, suitable IDBs were selected and each cleaning splint was designed and fabricated by 3D-printing. Before and after standardized cleaning, model teeth were photographed at three timepoints: (T1) clean surface, (T2) surface coated with artificial plaque, and (T3) after IDB cleaning. For each of the four test groups differing in dental status (FD, PE) and CS use (without, with), n = 10 tests/group were completed. After aligning corresponding photographs, pixel-based color difference ratios (T2-T3)/(T2-T1) were calculated. Approximal cleaning efficacy was set as the mean value over predefined regions of interest. Effects of CS use and dental status were analyzed with two-way ANOVA (α = 0.05). Results: CS use significantly improved mean approximal cleaning efficacy for the PE model (p = 0.001), whereas no difference was found with the FD model (p = 0.381). Improved cleaning efficacy with the PE model was only found in combination with a CS (factor combination model × CS use: p = 0.003). Conclusions: Cleaning splints might have the potential to improve interproximal hygiene and can be recommended for clinical use. Clinical studies should validate the results of this in vitro study and clarify if CSs could be beneficial for patients with restricted manual skills.
New Classification System and Defect-Oriented Algorithm for Functional Soft-Palate Reconstruction with Buccinator Myomucosal Flaps
Authors: Massarelli Olindo , Catarzi Lisa , Gabriele Guido , Cascino Flavia , Frosolini Andrea , Gennaro Paolo
Published: December 2024

Background/Objectives: Currently, there is a lack of a comprehensive classification system for soft-palate defects that provides synthetic information to guide functional reconstructive treatment. Our awareness, shaped by extensive experience, of the superiority of myomucosal flaps to fasciocutaneous flaps in functional palate reconstruction has driven us to introduce a new defect-based classification system and propose a new algorithm for reconstructing soft-palate defects using buccinator myomucosal flaps. Methods: Soft-palate defects were classified into five classes. A reconstruction algorithm employing buccinator myomucosal flaps—including axial, island, and tunnelized flaps along with their variants as described in previous studies—was utilized. Clinical records, including tumor stage, location, defect size, and details of the myomucosal flap used, were documented. Postoperative speech intelligibility, swallowing, and quality of life (QoL) were evaluated. Donor-site morbidity and complications were also assessed. Spearman’s rank correlation was employed to assess relationships between clinical parameters and functional outcomes. Results: Twenty-two patients who had undergone soft-palate resection and subsequent reconstruction were reviewed. Favorable recovery of swallowing and speech was reported in all cases, with a median deglutition score of 6.04 ± 0.85 and no severe velopharyngeal insufficiency observed (speech score: 0.36 ± 0.58). Quality of life assessments indicated satisfactory recovery across physical, social, emotional, and functional parameters. Donor-site morbidity was low (average score: 8.3), with only minor complications observed. Tumor stage showed a significant correlation with speech score (r = 0.44, p = 0.04). Conclusions: The proposed classification introduces a comprehensive, simple, and user-friendly categorization of soft-palate defects, accompanied by a myomucosal reconstructive algorithm designed to guide surgeons through the reconstructive process, aiming to provide optimal functional reconstruction. The study’s small sample size and monocentric design may have limited the detection of meaningful correlations, highlighting the need for larger, multicentric studies with objective methods to validate findings.
Developing a Computational Phenotype of the Fourth Universal Definition of Myocardial Infarction for Inpatients
Authors: Martin Elliot A. , Har Bryan , Walker Robin L. , Southern Danielle A. , Quan Hude , Eastwood Cathy A.
Published: December 2024

Background: The fourth universal definition of myocardial infarction (MI) introduced the differentiation of acute myocardial injury from MI. In this study, we developed a computational phenotype for distinct identification of acute myocardial injury and MI within electronic medical records (EMRs). Methods: Two cohorts were used from a Calgary-wide EMR system: a chart review of 3042 randomly selected inpatients from Dec 2014 to Jun 2015; and 11,685 episodes of care that included cardiac catheterization from Jan 2013 to Apr 2017. Electrocardiogram (ECG) reports were processed using natural language processing and combined with high-sensitivity troponin lab results to classify patients as having an acute myocardial injury, MI, or neither. Results: For patients with an MI diagnosis, only 64.0% (65.7%) in the catheterized cohorts (chart review cohort) had two troponin measurements within 6 h of each other. For patients with two troponin measurements within 6 h; of those with an MI diagnosis, our phenotype classified 25.2% (31.3%) with an acute myocardial injury and 62.2% (55.2%) with an MI in the catheterized cohort (chart review cohort); and of those without an MI diagnosis, our phenotype classified 12.9% (12.4%) with an acute myocardial injury and 10.0% (13.1%) with an MI in the catheterized cohort (chart review cohort). Conclusions: Patients with two troponin measurements within 6 h, identified by our phenotype as having either an acute myocardial injury or MI, will at least meet the diagnostic criteria for an acute myocardial injury (barring lab errors) and indicate many previously uncaptured cases. Myocardial infarctions are harder to be certain of because ECG report findings might be superseded by evidence not included in our phenotype, or due to errors with the natural language processing.
Specific Design of a Self-Compacting Concrete with Raw-Crushed Wind-Turbine Blade
Authors: Hernando-Revenga Manuel , Revilla-Cuesta Víctor , Hurtado-Alonso Nerea , Manso-Morato Javier , Ortega-López Vanesa
Published: December 2024

Wind-turbine blades pose significant disposal challenges in the wind-energy sector due to the increasing demand for wind farms. Therefore, this study researched the revaluation of Raw-Crushed Wind-Turbine Blade (RCWTB), obtained through a non-selective blade crushing process, as a partial substitute for aggregates in Self-Compacting Concrete (SCC). The aim was to determine the most adequate water/cement (w/c) ratio and amount of superplasticizing admixtures required to achieve adequate flowability and 7-day compressive strength in SCC for increasing proportions of RCWTB, through the production of more than 40 SCC mixes. The results reported that increasing RCWTB additions decreased the slump flow of SCC by 6.58% per 1% RCWTB on average, as well as the compressive strength, although a minimum value of 25 MPa was always reached. Following a multi-criteria decision-making analysis, a w/c ratio of 0.45 and a superplasticizer content of 2.8% of the cement mass were optimum to produce SCC with up to 2% RCWTB. A w/c ratio of 0.50 and an amount of superplasticizers of 4.0% and 4.6% were optimum to produce SCC with 3% and 4% RCWTB, respectively. Concrete mixes containing 5% RCWTB did not achieve self-compacting properties under any design condition. All modifications of the SCC mix design showed statistically significant effects according to an analysis of variance at a confidence level of 95%. Overall, this study confirms that the incorporation of RCWTB into SCC through a careful mix design is feasible in terms of flowability and compressive strength, opening a new research avenue for the recycling of wind-turbine blades as an SCC component.
X-Ray Image-Based Real-Time COVID-19 Diagnosis Using Deep Neural Networks (CXR-DNNs)
Authors: Khan Ali Yousuf , Luque-Nieto Miguel-Angel , Saleem Muhammad Imran , Nava-Baro Enrique
Published: December 2024

On 11 February 2020, the prevalent outbreak of COVID-19, a coronavirus illness, was declared a global pandemic. Since then, nearly seven million people have died and over 765 million confirmed cases of COVID-19 have been reported. The goal of this study is to develop a diagnostic tool for detecting COVID-19 infections more efficiently. Currently, the most widely used method is Reverse Transcription Polymerase Chain Reaction (RT-PCR), a clinical technique for infection identification. However, RT-PCR is expensive, has limited sensitivity, and requires specialized medical expertise. One of the major challenges in the rapid diagnosis of COVID-19 is the need for reliable imaging, particularly X-ray imaging. This work takes advantage of artificial intelligence (AI) techniques to enhance diagnostic accuracy by automating the detection of COVID-19 infections from chest X-ray (CXR) images. We obtained and analyzed CXR images from the Kaggle public database (4035 images in total), including cases of COVID-19, viral pneumonia, pulmonary opacity, and healthy controls. By integrating advanced techniques with transfer learning from pre-trained convolutional neural networks (CNNs), specifically InceptionV3, ResNet50, and Xception, we achieved an accuracy of 95%, significantly higher than the 85.5% achieved with ResNet50 alone. Additionally, our proposed method, CXR-DNNs, can accurately distinguish between three different types of chest X-ray images for the first time. This computer-assisted diagnostic tool has the potential to significantly enhance the speed and accuracy of COVID-19 diagnoses.
Optimization-Based Energy Management Algorithm for 2-Stroke Hybrid Ship with Controllable Pitch Propeller
Authors: Aletras Nikolaos , Karvountzis-Kontakiotis Apostolos , Kefalas Nikolaos , Grigoriadis Achilleas , Samaras Zissis , Ntziachristos Leonidas
Published: December 2024

This paper examines the fuel consumption savings of a hybrid ship powertrain with 2-stroke main engine by implementing a novel adaptive equivalent consumption minimization strategy that utilizes a controllable pitch propeller. A non-hybrid powertrain model was developed as a demonstrator and real-world data were used for fuel consumption and efficiency maps. The baseline powertrain model was extended to a hybrid by introducing a shaft generator, a battery, a controllable pitch propeller, and the supervisory control algorithm. The potential benefits of the proposed powertrain are examined over different operation phases including port stay, open sea sailing, and port approach. The result showed that the energy efficiency gains can reach up to 6% under the open sea sailing phase. Furthermore, the controllable pitch propeller offers additional energy efficiency benefits of 2% under the port approach phase, utilizing the proposed algorithm. If the proposed powertrain is produced and the implemented algorithm is adopted, this could lead to substantial carbon dioxide emissions and fuel consumption savings at sea.
Side Effects of Novel Anticancer Drugs on the Posterior Segment of the Eye: A Review of the Literature
Authors: Lixi Filippo , Giannaccare Giuseppe , Salerno Giulio , Gagliardi Vincenzo , Pellegrino Alfonso , Vitiello Livio
Published: December 2024

Currently, common treatment approaches for neoplastic diseases include surgery, radiation, and/or anticancer drugs (chemotherapy, hormone medications, and targeted therapies). In particular, anticancer medicines destroy cancerous cells by blocking certain pathways that aid in the disease’s initiation and progression. These pharmaceutical drugs’ capacity to inhibit malignant cells has made them indispensable in the treatment of neoplastic disorders. Nonetheless, considering their cyto- and neurotoxicity, as well as their inflammatory responses, these medications may also have unfavorable systemic and ocular side effects. In fact, it is well known that ocular posterior segment side effects, including retinal and vascular complications, have a negative influence on the patient’s eyesight and quality of life. However, the underlying mechanisms contributing to the development of these side effects remain incompletely recognized, especially in the case of newly available anticancer drugs. The purpose of this literature review is to analyze the possible side effects of new anticancer drugs on the posterior segment of the eye, trying to better understand the involved pharmacological mechanisms and offer helpful guidance on their appropriate management.
Rehabilitation and Continuing Management of an Urban Lake Shoreline in Southeastern Minnesota, USA
Authors: Mundahl Neal D. , Howard John
Published: December 2024

Lake Winona is a 129-hectare urban lake which occupies part of an old side channel of the Mississippi River and has been modified significantly over the past 125 years. The entire shoreline (>8 km) is publicly owned, with current shorelines created mostly during two periods of lake dredging and filling of fringe wetlands 70 and 110 years ago, respectively. Since then, some sections were allowed to revegetate naturally with trees and shrubs, some were armored with riprap, and others have been maintained mostly as turfgrass parklands. Shoreline vegetation assessments and tree stand surveys were completed prior to beginning targeted shoreline rehabilitation in 2017. These rehabilitation activities (encompassing the majority of shoreline) include the following: (1) repeated removal and chemical treatment of woody invasive shrubs/trees (primarily common buckthorn Rhamnus cathartica and nonnative bush honeysuckles Lonicera spp.) by contractors and volunteers; (2) chemical spraying and hand pulling of nonnative invasive ornamental grasses (Miscanthus spp.) and forbs (Japanese hops Humulus japonica; leafy spurge Euphorbia esula) annually or as needed; (3) killing of turfgrass and overseeding with native prairie species; (4) shrub and sapling plantings and overseeding with native species in both wooded and turfgrass sections; (5) installation of wave barriers (using cut woody invasives) and planting of emergent aquatic macrophytes; (6) prescribed burns of prairie plantings; (7) establishment of fixed photo reference points to document changes; and (8) altered park mowing practices to maintain a shoreline buffer of vegetation. These ongoing management activities aim to replace more turfgrass with native prairie, plant more shrubs and trees on shorelines, suppress nonnative invasives, and encourage the development of aquatic macrophyte beds to reduce, or eliminate shoreline erosion. Future management activities will continue to emphasize invasive species control, turfgrass conversion to native vegetation, and shoreline erosion reduction.
Comparative Study of the Friction Behavior of Functionalized Graphene Oxide Additives Under Electric Stimulations
Authors: Zhang Linghao , Shi Qiuyu , Ge Xiangyu
Published: December 2024

Electro-regulated friction is a widely adopted approach for reducing friction, with graphene oxide (GO) emerging as a promising lubricating additive due to its electro-responsive frictional behaviour. However, with the wide variety of functionalized GO additives available, each exhibiting distinct properties, it remains unclear which type demonstrates the most effective electro-regulated friction-reducing performance, limiting their broader industrial application. In this study, the frictional behaviour of three functionalized GO additives under electric stimulation was investigated along with an analysis of the corresponding worn surfaces. The findings reveal the role of functional groups in determining the tribological performance of functionalized GO additives and the mechanism of electric stimulation. Notably, the formation of ester groups during the friction process of GO-OH enhances the adsorption of GO additives onto steel surfaces, resulting in superior friction-reducing properties. Under lubrication with GO-OH additives, negative electric stimulation promotes the generation of ester groups and transitions the lubrication regime to mixed lubrication, thereby contributing to friction reduction. This work provides new insights into the tribological performance of functionalized GO additives and the mechanisms underlying their electro-regulated behaviours, laying a foundation for the design of GO additives with superior lubrication performance for practical engineering applications.
Influence of Nb Reinforcement on the Wear Behavior of Spheroidal Graphite Cast Iron
Authors: Yakut Rifat
Published: December 2024

Spheroidal graphite cast iron, which is commonly used in a variety of applications, is subject to sliding wear and tear during operation. This damage can be prevented by increasing its strength value. In this study, 0%, 0.191%, and 0.304% niobium-reinforced spheroidal graphite cast irons were produced. Specimens for hardness, compression, and abrasion tests were produced in accordance with the standards for the tests of the sand mold cast specimens. In order to compare the results of the tests, test specimens reinforced with 0.191% and 0.304% niobium, as well as 0% (unreinforced), were also produced. The hardness and compression strength of the niobium-reinforced and unreinforced specimens were tested in accordance with the standards. In addition, wear tests were carried out at 5 N, 10 N, and 15 N loads for 0%, 0.191%, and 0.304% niobium reinforcements, respectively. In the hardness tests, the highest measured value was observed in the sample reinforced with 0.304% niobium, with an average of 272 HB. Since Nb is an element with high hardness, the hardness values of the samples increased with the increase in Nb reinforcement. With an average value of 1411 MPa, the niobium-reinforced sample with 0.191% niobium reinforcement exhibited the highest compression strength. When analyzing the results of the compression tests, an increasing trend was observed with increasing reinforcement ratio, as was the case with the results of the hardness tests. In the wear tests, the changes in wear volume, wear rate, and friction coefficients were examined at loads of 5 N, 10 N, and 15 N. When the test specimens with the same reinforcement ratio were examined, it was found that the wear volume loss values increased with the increase in load. As the wear resistance increases with increasing hardness value, it becomes more difficult to detach the particles from the wear surfaces. The wear volume of the samples, therefore, decreases as the hardness value increases. At the end of the experimental study, a microstructural analysis of the surfaces subjected to sliding wear was carried out. It was observed that wear marks and pits had formed on the surfaces subjected to sliding wear.
5-Bromo-N′-(2-oxoindolin-3-ylidene)furan-2-carbohydrazide
Authors: Aijijiyah Nur Pasca , Fadlan Arif , Ningsih Sri , Santoso Mardi
Published: December 2024

5-Bromo-N′-(2-oxoindolin-3-ylidene)furan-2-carbohydrazide (1) was successfully synthesized in 79.4% yield by reaction of isatin with 5-bromofuran-2-carbohydrazide in acidic conditions under reflux. The structure of synthesized compound 1 was confirmed by 1H and 13C NMR, FTIR, and HRMS spectrometers. It is necessary to evaluate compound 1 as an anti-inflammatory agent.
High-Volume Phosphogypsum Cement Stabilized Road Base: Preparation Methods and Strength Formation Mechanism
Authors: Zou Meng , He Zhaoyi , Xia Yuhua , Li Qinghai , Yao Qiwen , Cao Dongwei
Published: December 2024

This study investigated the potential for efficient and resourceful utilization of phosphogypsum (PG) through the preparation of a High-volume Phosphogypsum Cement Stabilized Road Base (HPG-CSSB). The investigation analyzed the unconfined compressive strength (UCS), water stability, strength formation mechanism, microstructure, and pollutant curing mechanism of HPG-CSSB by laser diffraction methods (LD), X-ray diffraction (XRD), fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), energy-dispersive X-ray spectroscopy (EDS), and inductively coupled plasma-mass spectrometry (ICP-MS). The optimal mix ratio of HPG-CSSB was 4% cement, 1% CA2, 35% PG, and 60% graded crushed stone. The UCS reached 6.6 MPa, 9.3 MPa, and 11.3 MPa at 7, 28, and 60 d, respectively. The alkaline curing agent stimulated cement activity and accelerated the release of Ca2+ and SO42− from the PG. This formed many C-S-H gels and ettringite (AFt). The curing agent converted Ca2+ to C-(A)-S-H gels due to high volcanic ash activity. The diverse hydration products strengthened HPG-CSSB. The HPG-CSSB exhibits favorable water stability, demonstrating a mere 7.6% reduction in strength following 28 d of immersion. The C-S-H gel and AFt generated in the system can carry out ion exchange and adsorption precipitation with F− and PO43− in PG, achieving the curing effect of toxic and hazardous substances. HPG-CSSB meets the Class A standard for integrated wastewater discharge.
Optimization of Cellulose Derivative-, PVA-, and PVP-Based Films with Reynoutria japonica Extract to Improve Periodontal Disease Treatment
Authors: Dołowacka-Jóźwiak Arleta , Nawrot-Hadzik Izabela , Matkowski Adam , Nowakowski Piotr , Dudek-Wicher Ruth , Markowska Dorota , Adamski Robert , Krzyżanowska-Gołąb Dorota , Karolewicz Bożena
Published: December 2024

The aim of this study was to develop and optimize polymeric films based on cellulose derivatives—hydroxypropylmethylcellulose (HPMC), methylcellulose (MC), and sodium carboxymethylcellulose (NaCMC)—as well as pullulan, polyvinyl alcohol (PVA), polyvinylpyrrolidone (PVP), and glycerol (GLY) as plasticizer incorporating Reynoutria japonica extract for potential use in periodontal and gum disease treatment. Over 80 formulations were fabricated using the solvent-casting method, 6 of which were selected for further investigation based on their mechanical properties, mucoadhesion, and disintegration profiles, including three placebo films (OP1 (PVA/PVP/MC400CP/NaCMC/GLY), OP2 (PVA/PVP/MCA15C/NaCMC/GLY), and OP3 (PVA/PVP/HPMC/NaCMC/GLY)) and three films containing R. japonica extract (OW1, OW2, and OW3). The films demonstrated uniform structural characteristics, with the formulations containing PVA with a high hydrolysis degree (98–99%) and methylcellulose derivatives showing prolonged dissolution times due to physical cross-linking, while the inclusion of NaCMC reduced dissolution time without compromising mucoadhesiveness. The study also described the release kinetics of resveratrol and piceid from the OW2 films using three semi-empirical models: the Korsmeyer–Peppas model, a first-order kinetic model, and a multidimensional approach. The multidimensional model demonstrated a strong fit, with a correlation coefficient (R2) of 0.909 for resveratrol, compared to 0.894 and 0.908 for the Korsmeyer–Peppas and first-order models, respectively. For piceid, the multidimensional model showed a correlation coefficient (R2) of 0.958, outperforming the Korsmeyer–Peppas (0.823) and first-order models (0.932). The active compounds released in sustained-release tests, including resveratrol and piceid, suggest that these films could provide an extended therapeutic effect.
Biochar—A Filler in “Bioplastics” for Horticultural Applications
Authors: Malińska Krystyna , Dróżdż Danuta , Postawa Przemysław , Stachowiak Tomasz
Published: December 2024

Biochar is attracting a lot of attention as it is considered a novel, renewable, and bio-based filler that can be used specifically for developing and manufacturing “bioplastics” for growing plants such as mulch films and plant accessories. The manufacturing of “bioplastics” uses biopolymers but also various additives such as fillers, which are primarily used to replace some of the expensive biopolymers in a biocomposite composition and/or to improve the mechanical properties of the final products. This review aims to demonstrate the applications of biochar as a filler in bioplastics, specifically for horticultural uses; summarize the most recent findings; and discuss future research directions. With this review, we address some of the most important issues related to the requirements for biochar as a filler for bio-based and biodegradable plastics, the effect of biochar properties and loading rates on the properties of biocomposites, and the suitability of biochar for manufacturing of “bioplastics” for horticultural use. We also discuss the advantages as well as challenges and limitations to the use of biochar for manufacturing bio-based and biodegradable plastics for horticultural uses.
Effect of Styrene Polymerization on the Bondability of Beech and Alder Wood with Different Adhesives
Authors: Żmuda Emil , Wronka Anita , Kowaluk Grzegorz , Radomski Andrzej
Published: December 2024

This study aimed to evaluate the bondability of beech and alder wood modified through styrene polymerization within the wood lumen. Unmodified wood samples served as the reference material. Bondability was tested using four adhesive types commonly used in wood technology: polyvinyl acetate (PVAc), urea-formaldehyde (UF), phenol-resorcinol-formaldehyde (PRF), and epoxy resin. In addition to shear strength measurements, the adhesive density profile was also assessed. Results indicated that styrene modification generally reduced wood bondability, with reductions in shear strength ranging from 8% to 23% for beech wood and 1.6% to 29% for alder wood, depending on the adhesive type. The only exception was observed with the epoxy adhesive, which showed a 13% improvement in bonding quality for modified wood. These findings suggest that while styrene modification may enhance specific properties of wood, it can adversely affect its adhesion performance with some adhesive systems, except epoxy, which displayed improved compatibility with styrene-modified wood. The study offers insights for selecting suitable adhesives when using modified wood in structural applications.
Prediction of Bandgap in Lithium-Ion Battery Materials Based on Explainable Boosting Machine Learning Techniques
Authors: Qin Haobo , Zhang Yanchao , Guo Zhaofeng , Wang Shuhuan , Zhao Dingguo , Xue Yuekai
Published: December 2024

The bandgap is a critical factor influencing the energy density of batteries and a key physical quantity that determines the semiconducting behavior of materials. To further improve the prediction accuracy of the bandgap in silicon oxide lithium-ion battery materials, a boosting machine learning model was established to predict the material’s bandgap. The optimal model, AdaBoost, was selected, and the SHapley Additive exPlanations (SHAP) method was used to quantitatively analyze the importance of different input features in relation to the model’s prediction accuracy. It was found that AdaBoost performed exceptionally well in terms of prediction accuracy, ranking as the best among five predictive models. Using the SHAP method to interpret the AdaBoost model, it was discovered that there is a significant positive correlation between the energy of the conduction band minimum (cbm) of silicon oxides and the bandgap, with the bandgap size showing an increasing trend as the cbm rises. Additionally, the study revealed a strong negative correlation between the Fermi level of silicon oxides and the bandgap, with the bandgap expanding as the Fermi level decreases. This research demonstrates that boosting-type machine learning models perform superiorly in predicting the bandgap of silicon oxide materials.
Standard Deformations of Nonlinear Elastic Structural Elements with Power-Law Constitutive Model
Authors: Vlase Sorin , Marin Marin
Published: December 2024

In this paper, the case of the power dependence between strain and stress is studied, along with the way in which this dependence modifies the calculation methodologies and the results that are obtained in classic cases of stress. The main cases studied are compression (squashing), tension (pulling), bending, shear (cutting), and torsion (twisting). Simple relationships are thus obtained for a wide class of materials that fall into this category. They can be useful to designers because they provide information on mechanical structures in a short time with good precision.
Day-Ahead Economic Dispatch Strategy for Distribution Networks with Multi-Class Distributed Resources Based on Improved MAPPO Algorithm
Authors: Zuo Juan , Ai Qian , Wang Wenbo , Tao Weijian
Published: December 2024

In the context of the global response to climate change and the promotion of an energy transition, the Internet of Things (IoT), sensor technologies, and big data analytics have been increasingly used in power systems, contributing to the rapid development of distributed energy resources. The integration of a large number of distributed energy resources has led to issues, such as increased volatility and uncertainty in distribution networks, large-scale data, and the complexity and challenges of optimizing security and economic dispatch strategies. To address these problems, this paper proposes a day-ahead scheduling method for distribution networks based on an improved multi-agent proximal policy optimization (MAPPO) reinforcement learning algorithm. This method achieves the coordinated scheduling of multiple types of distributed resources within the distribution network environment, promoting effective interactions between the distributed resources and the grid and coordination among the resources. Firstly, the operational framework and principles of the proposed algorithm are described. To avoid blind trial-and-error and instability in the convergence process during learning, a generalized advantage estimation (GAE) function is introduced to improve the multi-agent proximal policy optimization algorithm, enhancing the stability of policy updates and the speed of convergence during training. Secondly, a day-ahead scheduling model for the power distribution grid containing multiple types of distributed resources is constructed, and based on this model, the environment, actions, states, and reward function are designed. Finally, the effectiveness of the proposed method in solving the day-ahead economic dispatch problem for distribution grids is verified using an improved IEEE 30-bus system example.
Computing the COVID-19 Basic and Effective Reproduction Numbers Using Actual Data: SEIRS Model with Vaccination and Hospitalization
Authors: Margenov Svetozar , Popivanov Nedyu , Hristov Tsvetan , Koleva Veneta
Published: December 2024

A novel time-dependent deterministic SEIRS model, extended with vaccination, hospitalization, and vital dynamics, is introduced. Time-varying basic and effective reproduction numbers associated with this model are defined, which are crucial metrics in understanding epidemic dynamics. Furthermore, a parameter identification approach has been used to develop a numerical method to compute these numbers for long-term epidemics. We analyze the actual COVID-19 data from the USA, Italy, and Bulgaria to solve appropriate inverse problems and gain an understanding of the time evolution behavior of the basic and effective reproduction numbers. Moreover, an insightful comparison of key coronavirus data and epidemiological parameters across these countries has been conducted. For this purpose, while the basic and effective reproduction numbers provide insights into the virus transmission potential, we propose data-driven criteria for assessing the actual realization of the transmission potential of the SARS-CoV-2 virus and the effectiveness of the applied restrictive measures. To obtain these results, we conduct a mathematical analysis to demonstrate various biological properties of the new differential model, including non-negativity, boundedness, existence, and uniqueness of the solution. The new model and the associated numerical simulation tools proposed herein could be applied to COVID-19 data in any country worldwide and hold a promising potential for the transmission capacity and impact of the virus.
Gamified Health Promotion in Schools: The Integration of Neuropsychological Aspects and CBT—A Systematic Review
Authors: Gkintoni Evgenia , Vantaraki Fedra , Skoulidi Charitini , Anastassopoulos Panagiotis , Vantarakis Apostolos
Published: December 2024

Background and Objectives: This systematic review examines the integration of gamified health promotion strategies in school settings, with a focus on their potential to positively influence health behaviors and promote well-being among adolescents. This study explores the incorporation of cognitive behavioral therapy (CBT), artificial intelligence, and neuropsychological principles in gamified interventions, aiming to enhance engagement and effectiveness. Materials and Methods: A narrative synthesis of 56 studies, following PRISMA guidelines, underscores the significant impact of these gamified interventions on mental health outcomes, emphasizing reductions in anxiety, depression, and burnout while improving coping skills and lifestyle habits. The focus of key areas in mental health outcomes, emotional regulation, cognitive flexibility, and adherence mechanisms is explored through quantitative and qualitative syntheses to underscore intervention effectiveness and design principles. Results: This review highlights the high-quality evidence supporting the use of gamification in educational settings and calls for further research to optimize design elements and address implementation barriers. The findings propose that well-designed gamified health interventions can effectively engage students, promote healthy behaviors, and improve mental well-being while acknowledging the need for further studies to explore underlying mechanisms and long-term effects. Conclusions: Gamified health interventions that embed CBT and neuropsychological principles are promising for promoting the mental well-being of schoolchildren. Although the evidence indicates that they are effective in improving psychological and behavioral outcomes, further research is needed to optimize design features and overcome implementation challenges to ensure wider and more sustainable application.
Integrated Metagenomic and Metabolomic Analysis of In Vitro Murine Gut Microbial Cultures upon Bisphenol S Exposure
Authors: Cox Amon , Nowshad Farrhin , Callaway Evelyn , Jayaraman Arul
Published: December 2024

Background: The gut microbiota are an important interface between the host and the environment, mediating the host’s interactions with nutritive and non-nutritive substances. Dietary contaminants like Bisphenol A (BPA) may disrupt the microbial community, leaving the host susceptible to additional exposures and pathogens. BPA has long been a controversial and well-studied contaminant, so its structural analogues like Bisphenol S (BPS) are replacing it in consumer products, but have not been well studied. Methods: This study aimed to determine the impact of BPS on C57BL/6 murine gut microbiota using shotgun metagenomic sequencing and the metabolomic profiling of in vitro anaerobic cultures. Results: The results demonstrated that a supraphysiologic BPS dose did not overtly distort the metagenomic or metabolomic profiles of exposed cultures compared to controls. A distinct BPS-associated metabolite profile was not observed, but several metabolites, including saturated fatty acids, were enriched in the BPS-exposed cultures. In the absence of a BPS-associated enterotype, Lactobacillus species specifically were associated with BPS exposure in a discriminant model. Conclusions: Our study provides evidence contrasting the effects of BPS in the gut microbiome to its predecessor, BPA, but also emphasizes the role of inter-animal variation in microbiome composition, indicating that further study is needed to characterize BPS in this context.
Mercury-Resistant Bacteria Isolated from an Estuarine Ecosystem with Detoxification Potential
Authors: Quintero Marynes , Zuluaga-Valencia Sol D. , Ríos-López Lady Giselle , Sánchez Olga , Bernal Cesar A. , Sepúlveda Niza , Gómez-León Javier
Published: December 2024

Mercury pollution is a significant environmental issue, primarily resulting from industrial activities, including gold mining extraction. In this study, 333 microorganisms were tested in increasing mercury concentrations, where 158 bacteria and 14 fungi were able to grow and remain viable at concentrations over 5.0 mg/L of mercuric chloride (II). One of the bacterial strains, Stenotrophomonas sp. INV PRT0231, isolated from the mouth of the San Juan River in the Chocó region in Colombia, showed a high mercury resistance level (MIC90 of 27 ± 9 mg/L), with a removal rate of 86.9%, an absorption rate of 1.2%, and a volatilization rate of 85.7% at pH 6.0 and 30.0 °C. The FTIR analysis showed changes in the functional groups, including fatty acid chains and methyl groups, proteins, and lipopolysaccharides associated with the carboxylate group (COO−), suggesting an important role of these biomolecules and their associated functional groups as mechanisms employed by the bacterium for mercury detoxification. Our study contributes to the understanding of the mechanisms of mercury biotransformation in microbial environmental isolates to help develop bioremediation strategies to mitigate mercury pollution caused by anthropogenic activities.
Characterization and Molecular Insights of a Chromium-Reducing Bacterium Bacillus tropicus
Authors: Tuli Shanjana Rahman , Ali Md. Firoz , Jamal Tabassum Binte , Khan Md. Abu Sayem , Fatima Nigar , Ahmed Irfan , Khatun Masuma , Sharmin Shamima Akhtar
Published: December 2024

Environmental pollution from metal toxicity is a widespread concern. Certain bacteria hold promise for bioremediation via the conversion of toxic chromium compounds into less harmful forms, promoting environmental cleanup. In this study, we report the isolation and detailed characterization of a highly chromium-tolerant bacterium, Bacillus tropicus CRB14. The isolate is capable of growing on 5000 mg/L Cr (VI) in an LB (Luria Bertani) agar plate while on 900 mg/L Cr (VI) in LB broth. It shows an 86.57% reduction ability in 96 h of culture. It can also tolerate high levels of As, Cd, Co, Fe, Zn, and Pb. The isolate also shows plant growth-promoting potential as demonstrated by a significant activity of nitrogen fixation, phosphate solubilization, IAA (indole acetic acid), and siderophore production. Whole-genome sequencing revealed that the isolate lacks Cr resistance genes in their plasmids and are located on its chromosome. The presence of the chrA gene points towards Cr(VI) transport, while the absence of ycnD suggests alternative reduction pathways. The genome harbors features like genomic islands and CRISPR-Cas systems, potentially aiding adaptation and defense. Analysis suggests robust metabolic pathways, potentially involved in Cr detoxification. Notably, genes for siderophore and NRP-metallophore production were identified. Whole-genome sequencing data also provides the basis for molecular validation of various genes. Findings from this study highlight the potential application of Bacillus tropicus CRB14 for bioremediation while plant growth promotion can be utilized as an added benefit.
Antibiotic Susceptibility and Technological Properties of Leuconostoc citreum for Selecting Starter Candidates
Authors: Lee Sumin , Heo Sojeong , Lee Gawon , Moon Yura , Kim Minkyeong , Kwak Mi-Sun , Jeong Do-Won
Published: December 2024

Antibiotic susceptibilities, hemolytic activities, and technological properties of 46 Leuconostoc citreum isolates from kimchi were evaluated to select starter candidates. All strains were susceptible to clindamycin and erythromycin, while some exhibited resistance to ampicillin, chloramphenicol, gentamicin, streptomycin, and tetracycline; all were resistant to kanamycin based on the EFSA breakpoint values for Leuconostoc species. PCR analysis did not detect resistance genes for these six antibiotics in any strain. None of the strains demonstrated clear α- or β-hemolytic activity. All strains thrived in a medium supplemented with 6% NaCl, displaying protease activity and acid in media containing 6% and 3% NaCl, respectively. Consequently, five strains, AK5T17, AK5T19, AK10M04, DMLC16, and YK10T20, were identified as starter candidates, with L. citreum strain DMLC16 emerging as the top choice due to its elevated protease and acid production capacities. These findings support the safe application of L. citreum strain DMLC16 as a starter candidate in fermented food production.
Multifunctional SERS Chip for Biological Application Realized by Double Fano Resonance
Authors: Zhu Weile , Wang Huiyang , Wang Yuheng , Liu Shengde , Di Jianglei , Zhong Liyun
Published: December 2024

The in situ and label-free detection of molecular information in biological cells has always been a challenging problem due to the weak Raman signal of biological molecules. The use of various resonance nanostructures has significantly advanced Surface-enhanced Raman spectroscopy (SERS) in signal enhancement in recent years. However, biological cells are often immersed in different formulations of culture medium with varying refractive indexes and are highly sensitive to the temperature of the microenvironment. This necessitates that SERS meets the requirements of refractive index insensitivity, low thermal damage, broadband enhancement, and other needs in addition to signal enhancement. Here, we propose a SERS chip with integrated dual Fano resonance and the corresponding analytical model. This model can be used to quickly lock the parameters and then analyze the performance of the dual resonance SERS chip. The simulation and experimental characterization results demonstrate that the integrated dual Fano resonances have the ability for independent broadband tuning. This capability enhances both the excitation and radiation processes of Raman signals simultaneously, ensuring that the resonance at the excitation wavelength is not affected by the culture medium (the refractive index) and reduces heat generation. Furthermore, the dual Fano resonance modes can synergize with each other to greatly enhance both the amplitude and enhanced range of the Raman signal, providing a stable, reliable, and comprehensive detection tool and strategy for fingerprint signal detection of bioactive samples.
Year II—The NDT 2024 Editorial
Authors: Tosti Fabio
Published: December 2024

After nearly two years of consistent activities, the journal NDT (ISSN 2813-477X) [...]
The Mediating Role of Gut Microbiota on the Association Between Dietary Quality and Cancer-Related Fatigue Among Breast Cancer Patients: A Cross-Sectional Study
Authors: He Jianyun , Cheng Lan , Cheng Xinxin , Wang Yuting , Lin Xiaoxia , Xia Shufang
Published: December 2024

Objectives: Cancer-related fatigue (CRF) is highly prevalent in patients with breast cancer, resulting in undesirable outcomes and even reduced survival rates. This cross-sectional study investigated the relationship between dietary quality and CRF in patients with breast cancer, and the potential role of gut microbiota (GM) in this association. Methods: Dietary intake and CRF were evaluated in 342 patients, with 64 fecal samples collected for 16sRNA sequencing and 106 plasma samples for tryptophan (TRP) metabolite determination. Results: A total of 149 (43.6%) patients experienced CRF, which was significantly associated with low intakes of protein, vitamin A, vitamin E, dietary fiber, phosphorus, magnesium, potassium, iron, and copper (p < 0.05), and a remarkably low Chinese Healthy Eating Index (CHEI) score (p < 0.05). CRF patients had decreased GM diversity, an unhealthier GM composition, lower TRP concentrations, and a higher kynurenine (KYN)/TRP ratio (p < 0.05). Mediation analyses revealed that both the Sobs index (ACME = −0.0005; 95% CI −0.0051, −0.0001; p = 0.034) and the Chao index (ACME = −0.0005; 95% CI −0.0050, −0.0001; p = 0.033) were significant mediators of the correlation between total CHEI score and CRF. Conclusions: The presence of CRF in patients with breast cancer might be correlated with inadequate nutrient intake and low dietary quality via GM-dependent pathways.
Implementation of Nutrition Labels at the 2022 European Athletics Championships: An Observational Study of the Use and Perceptions of Athletes and Athlete Support Personnel
Authors: Maldonado Inês , Oliveira Catarina B. , Branco Pedro A. , Sousa Mónica
Published: December 2024

Background/Objectives: Nutrition labels are an effective tool for providing nutrition information. Additionally, nutrient composition is one of the most dictating factors for athletes’ food choices; thus, we aimed to evaluate the use and perceptions regarding the nutrition labels implemented for the meals served at the 2022 European Athletics Championships (EAC). Methods: During mealtime at the team restaurants, participants completed an online self-administered questionnaire. We collected 280 questionnaires, 53.8% of the participants were male, most were athletes (78.9%), and 21.1% were athlete support personnel. Likert-type scales and open-ended questions were included to measure the labels’ importance, layout, influence on food choices, and participants’ understanding of the labels. Mann–Whitney and Kruskal–Wallis tests were used to compare answers. Results: Almost 40% of the participants used the nutrition labels occasionally (38.8%). Most participants were confident (41.9%) or moderately confident (31.3%) in making food choices because they had labels. Nutrition labels were considered important (41.0%) or very important (28.4%) by most participants, and 91.7% would like to have them in future championships. Athlete support personnel versus athletes (p = 0.037) and participants with dietary restrictions versus participants without (p = 0.028) were more confident in their food choices due to nutrition labels. Conclusions: Our results highlight that nutrition labels were helpful for both athletes and athlete support personnel during this EAC and that they should be maintained in future competitions.
The Greater the Number of Altered Eating Behaviors in Obesity, the More Severe the Psychopathology
Authors: Carbone Elvira Anna , Rania Marianna , D’Onofrio Ettore , Quirino Daria , de Filippis Renato , Rotella Lavinia , Aloi Matteo , Fiorentino Vanessa Teresa , Murphy Rinki , Segura-Garcia Cristina
Published: December 2024

Background: Altered eating behaviors (AEBs) are not only associated with eating disorders but also play a role in obesity. This study assessed AEBs in individuals with obesity and their association with general and eating psychopathology, using the “Eating Behaviors Assessment for Obesity” (EBA-O). The hypothesis posited that a higher frequency of pathological eating behaviors would correlate with more severe psychopathology. Methods: Participants seeking weight loss treatment answered the EBA-O and other measures of eating and general psychopathology. The analysis employed MANOVA to estimate psychopathological variance based on AEBs and a cluster analysis to identify patient clusters by AEB type and number. Results: Out of the 244 participants, approximately two-thirds reported clinically relevant AEBs, with almost half exhibiting more than two AEBs. Predominant AEBs included sweet eating, binge eating, and hyperphagia. A significant impact of the numbers of AEBs on both eating and general psychopathology severity (p < 0.001; η2 = 0.167) was evident. Three clusters emerged, with Cluster 3 showing the highest AEB frequency and greater psychopathological impairment. Conclusions: The present findings confirm the correlation between the frequency of AEBs and the severity of general and eating psychopathology in individuals with obesity. AEBs deserve clinical attention, and their screening might aid their clinical characterization and foster more tailored treatments.