bluuebunny/crossref_metadata_2025 huggingface dataset:
Contribution of Treatment with Ear Popper for Hearing in Children with Middle Ear Effusion
Authors: Priner Ronit , Ilan Ophir
Published: June 2024

Objectives: we aim to assess the contribution of the EarPopper device to hearing in children with middle ear effusion (MEE). Methods: The study has three parts, including 1. tympanometry and audiometry before and six weeks after using the EarPopper to evaluate the treatment’s effect over time compared to a control group; 2. tympanometry before and immediately after using the EarPopper to evaluate immediate changes in middle ear pressure (MEP); 3. length of effect 90 min after use to assess pressure fluctuations over time. Results: Part 1 was a follow-up six weeks after using the device, and the patients in the study group that completed the study showed a significant improvement in hearing threshold. The average gain in hearing threshold ranged from 9.1 dB to 14 dB compared to the control group’s max improvement of 1.1 dB. In addition, MEP was significantly improved in the study group, as most Type Bs improved to Type A and C. Part 2 was the tympanometry immediately after using EarPopper and showed the majority of Type Cs turned into Type As. The majority of Type Bs remained unchanged. Part 3 was a follow-up 90 min after use; Type Cs that had improved to Type A demonstrated a decrease in pressure and return to negative pressure. Conclusions: use of the EarPopper device for six weeks is associated with an improved hearing threshold and middle ear status.
Identification of a New B-Cell Epitope on the Capsid Protein of Avian Leukosis Virus and Its Application
Authors: Wang Zui , Liu Lina , Dou Junfeng , Li Li , Lu Qin , Jin Xinxin , Shao Huabin , Cheng Zhengyu , Zhang Tengfei , Luo Qingping , Bei Weicheng
Published: June 2024

Avian leukosis virus (ALV) is an avian oncogenic retrovirus that can impair immunological function, stunt growth and decrease egg production in avian flocks. The capsid protein (P27) is an attractive candidate for ALV diagnostics. In the present study, a new hybridoma cell (1F8) stably secreting an anti-P27 monoclonal antibody (mAb) was developed. The mAb exhibited a high affinity constant (Ka) of 8.65 × 106.0 L/mol, and it could be used for the detection of ALV-A/B/J/K strains. Moreover, a total of eight truncated recombinant proteins and five synthetic polypeptides were utilized for the identification of the B-cell epitopes present on P27. The results revealed that 218IIKYVLDRQK227 was the minimal epitope recognized by 1F8, which had never been reported before. Additionally, the epitopes could strongly react with different ALV subgroup’s specific positive serum and had a complete homology among all the ALV subgroups strains. Finally, a new sandwich ELISA method was created for the detection of ALV antigens, demonstrating increased sensitivity compared to a commercially available ELISA kit. These results offer essential knowledge for further characterizing the antigenic composition of ALV P27 and will facilitate the development of diagnostic reagents for ALV.
Uropathogenic E. coli and Hybrid Pathotypes in Mexican Women with Urinary Tract Infections: A Comprehensive Molecular and Phenotypic Overview
Authors: Ballesteros-Monrreal Manuel G. , Mendez-Pfeiffer Pablo , Ortíz Bryan , Bolado-Martínez Enrique , Álvarez-Ainza Maritza Lizeth , Enciso-Martínez Yessica , Arenas-Hernández Margarita M. P. , Diaz-Murrieta Betsaida , Barrios-Villa Edwin , Valencia Dora
Published: June 2024

Uropathogenic Escherichia coli (UPEC) is the main cause of urinary tract infections (UTIs) and carries virulence and resistance factors often found in mobilizable genetic elements, such as plasmids or pathogenicity islands (PAIs). UPEC is part of the extraintestinal pathogenic E. coli (ExPEC), but hybrid strains possessing both diarrheagenic E. coli (DEC) and ExPEC traits, termed “hypervirulent”, present a significant health threat. This study assessed the prevalence of UPEC PAIs, ExPEC sequence types (ST), DEC genes, carbapenemase and extended-spectrum β-lactamase (ESBL) phenotypes, resistance genotypes, and plasmids in 40 clinical isolates of UPEC. Results showed that 72.5% of isolates had PAIs, mainly PAI IV536 (53%). ESBL phenotypes were found in 65% of β-lactam-resistant isolates, with 100% of carbapenem-resistant isolates producing carbapenemase. The predominant ESBL gene was blaCTX-M-2 (60%), and the most common resistance gene in fluoroquinolone and aminoglycoside-resistant isolates was aac(6′)Ib (93%). Plasmids were present in 57% of isolates, and 70% belonged to the ST131 clonal group. Molecular markers for DEC pathotypes were detected in 20 isolates, with 60% classified as hybrid pathotypes. These findings indicate significant pathogenic potential and the presence of hybrid pathotypes in E. coli UTI clinical isolates in the Mexican population.
Antioxidant and Neuroprotective Effects of Fucoxanthin and Its Metabolite Fucoxanthinol: A Comparative In Vitro Study
Authors: Pruccoli Letizia , Balducci Martina , Pagliarani Barbara , Tarozzi Andrea
Published: June 2024

Fucoxanthin is the most abundant carotenoid found in marine brown algae that exhibits several healthy properties. Dietary fucoxanthin is metabolized in the intestine, plasma, and other tissues to various metabolites, including fucoxanthinol. In this regard, the contribution of fucoxanthinol to the healthy properties of its precursor, fucoxanthin, against pathogenetic events associated with neurodegenerative diseases remains unexplored. Here, we evaluated and compared the antioxidant and neuroprotective effects of the carotenoids fucoxanthin and fucoxanthinol in in vitro models of Alzheimer’s (AD) and Parkinson’s (PD) disease. Neuronal SH-SY5Y cells were used to evaluate the antioxidant properties of the carotenoids against ABTS radical in the membrane and cytoplasm and oxidative stress elicited by tert-butyl hydroperoxide using the 2′,7′-dichlorodihydrofluorescein diacetate probe. We also assessed the ability of the carotenoids to increase the glutathione (GSH) and activate the Nrf2/Keap1/ARE pathway using the monochlorobimane probe and western blotting method, respectively. The neuroprotective effects of the carotenoids against the neurotoxicity generated by oligomers of Beta-Amyloid (1–42) peptide (OAβ) and 6-hydroxydopamine (6-OHDA), which are neurotoxins of AD and PD, respectively, were finally evaluated in the same neuronal cells using the thiazolyl blue tetrazolium bromide assay. Both carotenoids could reach the cytoplasm, which explains the mainly free radical scavenging activity at this level. Notably, fucoxanthinol had higher and lower antioxidant activity than fucoxanthin at extracellular and cellular levels. Although studied carotenoids exerted the ability to activate the Nrf2/Keap1/ARE pathway, leading to an increase of intracellular GSH, our results suggested that the antioxidant activity of the carotenoids could be mainly attributed to their radical scavenging activity in neuronal membrane and cytoplasm, where they accumulate. Fucoxanthinol also shared similar neuroprotective effects as fucoxanthin against the neurotoxicity generated by OAβ and 6-OHDA, suggesting a potential neuroprotective contribution to the action of fucoxanthin administered as a food supplement in in vivo experimental models. These results encourage further research to evaluate the bioavailability of fucoxanthinol and other metabolites of fucoxanthin at the brain level to elucidate the dietary neuroprotective potential of fucoxanthin.
The Neuromuscular Disorder Mediated by Extracellular Vesicles in Amyotrophic Lateral Sclerosis
Authors: Carata Elisabetta , Muci Marco , Di Giulio Simona , Di Giulio Tiziano , Mariano Stefania , Panzarini Elisa
Published: June 2024

Amyotrophic lateral sclerosis (ALS) represents a neurodegenerative disorder characterized by the progressive loss of both upper and lower motor neurons, resulting in muscular atrophy and eventual paralysis. While much research has concentrated on investigating the impact of major mutations associated with ALS on motor neurons and central nervous system (CNS) cells, recent studies have unveiled that ALS pathogenesis extends beyond CNS imbalances, encompassing dysregulation in other tissues such as skeletal muscle. Evidence from animal models and patients supports this broader perspective. Skeletal muscle, once considered solely as an effector organ, is now recognized as possessing significant secretory activity capable of influencing motor neuron survival. However, the precise cellular and molecular mechanisms underlying the detrimental effects observed in muscle and its associated structures in ALS remain poorly understood. Additionally, emerging data suggest that extracellular vesicles (EVs) may play a role in the establishment and function of the neuromuscular junction (NMJ) under both physiological and pathological conditions and in wasting and regeneration of skeletal muscles, particularly in neurodegenerative diseases like ALS. This review aims to explore the key findings about skeletal muscle involvement in ALS, shedding light on the potential underlying mechanisms and contributions of EVs and their possible application for the design of biosensors.
Employing Bidirectional Two-Sample Mendelian Randomization Analysis to Verify the Potential of Polyunsaturated Fatty Acid Levels in the Prevention of Pancreatic Cancer
Authors: Sha Hao , Zhu Weifeng
Published: June 2024

Polyunsaturated fatty acids (PUFAs), specifically Omega-3 (FAω3) and docosahexaenoic acid (DHA), have been studied for their potential role in modulating pancreatic cancer (PC) risk. Although observational studies suggest a beneficial effect in reducing this risk, their findings are often limited by confounding variables and issues of reverse causation. This study used a two-way two-sample Mendelian randomization (MR) method to test the hypothesized genetic causal relationship between PUFAs and PC risk. Data from an extensive genome-wide association study (GWAS) were analyzed, focusing on FAω3 and FAω6 levels, their ratios, and DHA as variables and PC incidence as outcomes. This relationship was comprehensively evaluated using related MR methods, such as inverse variance weighting (IVW), MR Egger, and weighted median (WM). This study finds a significant negative correlation between FAω3 and DHA levels and PC risk, while FAω6 levels show no significant correlation. Interestingly, the ratio of FAω6 to FAω3 was positively associated with increased risk of PC. Neither the MR Egger nor the MR-PRESSO tests detected significant pleiotropy, nor did the Cochrane’s Q test show significant heterogeneity. Leave-one-out analyzes further confirmed the robustness of these results. Using MR analysis of two samples, this study provides genetic causal evidence that FAω3 and DHA levels reduce the risk of PC, whereas the ratio of FAω6 to FAω3 increases the risk of PC. These insights highlight the potential utility of supplementing FAω3 and DHA or altering PUFAs in developing PC prevention strategies.
Cadmium Stress Signaling Pathways in Plants: Molecular Responses and Mechanisms
Authors: Vitelli Valentina , Giamborino Agnese , Bertolini Andrea , Saba Alessandro , Andreucci Andrea
Published: June 2024

Heavy metal (HM) pollution, specifically cadmium (Cd) contamination, is a worldwide concern for its consequences for plant health and ecosystem stability. This review sheds light on the intricate mechanisms underlying Cd toxicity in plants and the various strategies employed by these organisms to mitigate its adverse effects. From molecular responses to physiological adaptations, plants have evolved sophisticated defense mechanisms to counteract Cd stress. We highlighted the role of phytochelatins (PCn) in plant detoxification, which chelate and sequester Cd ions to prevent their accumulation and minimize toxicity. Additionally, we explored the involvement of glutathione (GSH) in mitigating oxidative damage caused by Cd exposure and discussed the regulatory mechanisms governing GSH biosynthesis. We highlighted the role of transporter proteins, such as ATP-binding cassette transporters (ABCs) and heavy metal ATPases (HMAs), in mediating the uptake, sequestration, and detoxification of Cd in plants. Overall, this work offered valuable insights into the physiological, molecular, and biochemical mechanisms underlying plant responses to Cd stress, providing a basis for strategies to alleviate the unfavorable effects of HM pollution on plant health and ecosystem resilience.
Assessment of HVAC Performance and Savings in Office Buildings Using Data-Driven Method
Authors: Borodinecs Anatolijs , Palcikovskis Arturs , Krumins Andris , Zajecs Deniss , Lebedeva Kristina
Published: June 2024

Enhancing energy efficiency within the building sector is imperative to curbing energy losses, given that this sector alone contributes to over 34% of global energy consumption. Employing a building management system, along with its regular updates, presents a strategic avenue to decrease energy usage, enhance building energy efficiency, and more. Tailored control strategies, aligned with the unique characteristics and usage patterns of each building, are essential for achieving energy savings. This article presents an evaluation of HVAC system efficiency in office buildings, utilizing a data-driven approach coupled with simulations conducted in building performance simulation software. The research explores the control strategy of an office building equipped with a constant air volume HVAC system, featuring a regularly controlled air handling unit. The objective is to boost energy efficiency while striking a balance between occupant comfort and energy consumption. The findings indicate that by analyzing measured data and adjusting the configurable parameters, the energy consumption of buildings can be significantly reduced. The close monitoring of indoor parameters by building operators and making corresponding adjustments to the HVAC system can yield energy savings of up to 16%. Leveraging these insights, this paper suggests integrating data-driven and dynamic simulation methods into building management system models to optimize HVAC systems, enhance energy efficiency, and advance ambitious carbon neutrality objectives.
A Deep Learning Image Corrosion Classification Method for Marine Vessels Using an Eigen Tree Hierarchy Module
Authors: Chliveros Georgios , Tzanetatos Iason , Kontomaris Stylianos V.
Published: June 2024

This paper involves the automation of a visual characterisation technique for corrosion in marine vessels, as it appears in the hull preventive coatings of marine vessels and their surfaces. We propose a module that maximizes the utilisation of features learned by a deep convolutional neural network to identify areas of corrosion and segment pixels in regions of inspection interest for corrosion detection. Our segmentation module is based on Eigen tree decomposition and information-based decision criteria in order to produce specific corroded spots—regions of interest. To assess performance and compare it with our method, we utilize several state-of-the-art deep learning architectures.The results indicate that our method achieves higher accuracy and precision while maintaining the significance score across the entire dataset. To the best of our knowledge, this is the first Eigen tree-based module in the literature in the context of trained neural network predictors for classifying corrosion in marine vessel images.
Development of PSL-Loaded PLGA Nanoparticles for the Treatment of Allergic Contact Dermatitis
Authors: Fujisawa Ryo , Sakurai Ryuse , Oshizaka Takeshi , Mori Kenji , Saitoh Akiyoshi , Takeuchi Issei , Sugibayashi Kenji
Published: June 2024

Allergic contact dermatitis (ACD) can easily develop once sensitization is established by exposure to small amounts of antigen, and steroids are used for treatment. In this study, we evaluated the therapeutic efficacy of prednisolone (PSL)-loaded poly(DL-lactide-co-glycolide) (PLGA) nanoparticles (NPs) on a mouse model of contact dermatitis (CHS). Nanoparticles were prepared using a poor solvent diffusion method, and particle size distribution and mean particle size were measured using dynamic light scattering. Treatment experiments with PSL-loaded PLGA NPs were performed before and after sensitization with 1-fluoro-2,4-dinitrobenzene (DNFB), and evaluation was performed by quantifying intracutaneous IL-4 and TNF-α levels in a mouse model of CHS using ELISA. When PSL-loaded PLGA NPs were administered before sensitization, IL-4 expression was significantly decreased, and TNF-α tended to decrease in the group treated with PSL-loaded PLGA NPs compared to the non-treated group. When PSL-loaded PLGA NPs were administered after sensitization, IL-4 expression was significantly decreased in the group treated with PSL-loaded PLGA NPs compared to the non-treated group. In both cases, there were no significant differences between the PSL-loaded PLGA NP treatment group and the PSL-containing ointment group. These results suggest that, in the treatment of CHS, PSL-loaded PLGA NPs show a certain therapeutic effect when preadministration.
Mitigating Social Isolation Following the COVID-19 Pandemic: Remedy Messages Shared by Older People
Authors: Low Gail , Humboldt Sofia , Gutman Gloria , Gao Zhiwei , Allana Hunaina , Naz Anila , Wilson Donna , Vastani Muneerah
Published: June 2024

At the beginning of July 2022, when public health restrictions were lifted, we deployed a country-wide e-survey about how older people were managing now after COVID-19 pandemic-related anxiety. Our responder sample was stratified by age, sex, and education to approximate the Canadian population. E-survey responders were asked to share open-text messages about what contemporaries could do to live less socially isolated lives at this tenuous turning point following the pandemic as the COVID-19 virus still lingered. Contracting COVID-19 enhanced older Canadians’ risk for being hospitalized and/or mortality risk. Messages were shared by 1189 of our 1327 e-survey responders. Content analysis revealed the following four calls to action: (1) cultivating community; (2) making room for what is good; (3) not letting your guard down; and (4) voicing out challenges. Responders with no chronic illnesses were more likely to endorse making room for what is good. Those with no diploma, degree, or certificate least frequently instructed others to not let their guard down. While COVID-19 is no longer a major public health risk, a worrisome proportion of older people across the globe are still living socially isolated. We encourage health and social care practitioners and older people to share messages identified in this study with more isolated persons.
A Hungarian Centrum Hospital’s COVID-19 Response Strategy in Light of International Management Experiences
Authors: Schandl László , Kiss Barnabás , Lengyel Zoltán , Kis János Tibor , Winkler Gábor
Published: June 2024

The COVID-19 pandemic has placed enormous pressure on healthcare systems. In the first line of the “war” against the virus, hospitals tried to maintain their general operations, while supplementing their services with COVID-19 patient care. To tackle the new difficulties, hospitals had to develop strategic response plans, and were in need of finding the most effective management structure for their institution. The focus of this paper is the aforementioned management structures. After overviewing the international literature, we identified three different approaches and we named them the Horizontal, Vertical, and Intermedier Approach. The separation is based on the following features: decision making, information distribution, command forwarding, intra-hospital communication channels, hierarchy, and control. After summarizing the international experiences, we introduce a Hungarian centrum hospital’s approach, as the institution was assigned to fulfil COVID-19 centrum hospital duties in the middle of the first wave. The North-Buda Szent János Central hospital was in need of restructuring their management structure, and the leadership decided to transform it into a hierarchical, vertical structure, operating with centralized decision making and personal control. This control–command system idea came from the hospital’s Internist Head Coordinator Physician, who is the first author of our article, and had serious military medicine experiences (in Afghanistan).
Phase-Slip Based SQUID Used as a Photon Switch in Superconducting Quantum Computation Architectures
Authors: Zhao Hu , Wu Xiaoyu , Li Wenlong , Fang Xudong , Li Tiefu
Published: June 2024

The photon storage time in a superconducting coplanar waveguide (CPW) resonator is contingent on the loaded quality factor, primarily dictated by the input and output capacitance of the resonator. The phase-slip based superconducting quantum interference device (PS-SQUID) comprises two phase-slip (PS) junctions connected in series with a superconducting island in between. The PS-SQUID can manifest nonlinear capacitance behavior, with the capacitance finetuned by the gate voltage to minimize the impact of magnetic field noise as much as possible. By substituting the coupling capacitance of the CPW resonator with the PS-SQUID, the loaded quality factor of the resonator can be changed by three orders, thus, we get a microwave photon switch in superconducting quantum computation architectures. Furthermore, by regulating the loaded quality factors, the coupling strength between the CPW and superconducting quantum circuits can be controlled, enabling the ability to manipulate stationary qubits and flying qubits.
Stochastic Capacity Optimization of an Integrated BFGCC–MSHS–Wind–Solar Energy System for the Decarbonization of a Steelmaking Plant
Authors: Geng Chamin , Shi Zhuoyue , Chen Xianhao , Sun Ziwen , Jin Yawei , Shi Tian , Wu Xiao
Published: June 2024

Deploying renewable generation to replace conventional fossil-fuel-based energy supplies provides an important pathway for the decarbonization of steelmaking plants. Meanwhile, it is also crucial to improve the flexibility of blast-furnace-gas-fired combined-cycle power plants (BFGCCs) to ease the accommodation of uncertain renewable generation. To this end, this paper proposes the deployment of a molten salt heat storage (MSHS) system in BFGCCs to store the heat of gas turbine flue gas so that the power–heat coupling of these BFGCCs can be unlocked to enhance the flexibility of the energy supply. A stochastic capacity optimization of an integrated BFGCC–MSHS–wind–solar (BMWS) energy system is presented to determine the optimal installed capacities of a BFG holder, MSHS, wind turbine, and PV panel, aiming to achieve an economic and safe energy supply for the entire system. Multiple scenarios considering uncertain fluctuations in load demands and renewable generation are generated with the Monte Carlo method based on a typical scenario. These scenarios are then reduced to representative scenarios using the synchronous substitution and reduction method for stochastic capacity optimization to enhance the reliability of the results. The case study results demonstrate that configuring MSHS reduces the total annualized cost of the BMWS system by 2.28%. Furthermore, considering the uncertainties of the power/heating load and wind/PV generation can reduce the expected annualized total cost of the BMWS system and the corresponding standard deviation by 5.66% and 81.45%, respectively. The BMWS system can achieve 730.68 tons of equivalent CO2 reduction in 24 h due to the successful utilization of renewable energy. This paper provides an effective approach for the decarbonization of energy generation systems in steelmaking plants.
The Role of Domestic Heat Pumps in Providing Flexibility to the UK Electricity System
Authors: Crawley Jenny , Moore Gemma , Higginson Sarah , Elwell Cliff , Eyre Nick
Published: June 2024

Widespread adoption of residential heat pumps is predicted to create challenges for national and local electricity systems. Flexible operation of heat pumps could help smooth peak demand and better utilise renewables. Achieving these benefits involves many stakeholders from the heat pump and electricity sectors with different perspectives and expectations. This work brought together 52 experts from different parts of the UK system to discuss and debate the role of heat pump flexibility in a decarbonised electricity system in 2035. A co-production research model was adopted, designed to integrate diverse forms of knowledge and perspectives in the co-production of knowledge on heat pump flexibility. A series of participatory activities were undertaken including a one-day workshop. Elements of a common vision emerged, such as the anticipated widespread flexible operation of heat pumps as the cheapest way of running a heat pump and the likelihood of a highly automated and remote-controlled manner of operation. Disagreements and unknowns also emerged. This work aims to support stakeholders in planning for the social, technical and economic aspects of flexible heat pump operation in their own organisations.
Carbon Fiber-Reinforced Polymer Composites Integrated Beam–Column Joints with Improved Strength Performance against Seismic Events: Numerical Model Simulation
Authors: Aljabbri Noor Alhuda Sami , Karim Abdulamir Atalla , Majeed Fareed Hameed
Published: June 2024

Strength enhancement of non-seismic concrete beam–column joints (NSCBCJs) via carbon fiber-reinforced polymer composites (CFRPCs) integration has become a viable strategy. However, the implementation of these NSCBCJs without transverse reinforcement shows poor performance during earthquakes in seismic locations. Thus, strengthening the anti-seismic performance of NSCBCJs to meet the acceptance criteria of ACI 374.1-05 is fundamentally significant. Yet, in addition to limited experimental results, only a few numerical studies based on the finite element model have been performed to determine the anti-seismic behavior of NSCBCJs. Consequently, the stress contribution of CFRPCs to NSCBCJs is not clearly understood. Therefore, we used a finite element model to examine the strength contribution of CFRPCs to NSCBCJs. The performance of the proposed finite element model was validated using the experimental results, demonstrating a good agreement between them. It was shown that the strength of NSCBCJs was improved due to CFRPC incorporation, thereby achieving compliance with the seismic requirements of ACI 374.1-05. In addition, CFRPCs presence could enhance the confinement, reduce the deformation of the NSCBCJs and, thus, decrease their stiffness and strength degradation, while simultaneously improving the energy dissipation.
Cryptocurrency, Gold, and Stock Exchange Market Performance Correlation: Empirical Evidence
Authors: Toudas Kanellos , Pafos Démétrios , Boufounou Paraskevi , Raptis Athanasios
Published: June 2024

This paper examines the correlation between three prospective investing options: the Bitcoin cryptocurrency price, gold, and the Dow Jones stock index. The main research question is whether there is a causal effect of gold and the DWJ on Bitcoin and how this effect varies on time. The study begins with a background analysis that explains the definitions and operation of cryptocurrencies, followed by a brief overview of gold and its derivatives. In addition, a historical review of stock markets is provided, with a focus on the Dow Jones index. Then, a literature review follows. Daily data from three separate periods are used, each spanning four years. The first period, running from October 2014 to September 2018, provides an overview of the introduction of official cryptocurrency price data. The second period, running from Oct 2018 to Sept 2022, captures more recent trends preceding COVID-19. The third period, from January 2020 to December 2023, is the whole COVID-19 period with the initiation, embedded, and terminal phases. Classical inductive statistical methods (descriptive, correlations, multiple linear regression) as well as time series analysis methods (autocorrelation, cross-correlation, Granger causality tests, and ARIMA modeling) are used to analyze the data. Rigorous testing for autocorrelation, multicollinearity, and homoskedasticity is performed on the estimated models. The results show a correlation of Bitcoin with gold and the DWJ. This correlation varies over time, as in the first period the correlation mainly concerns the DWJ and in the second it mainly concerns gold. By using ARIMA models, it was possible to make a forecast in a time horizon of a few days. In addition, the structure of the forecasting mechanism of gold and DWJ on Bitcoin seems to have changed during the COVID-19 crisis. The findings suggest that future research should encompass a broader dataset, facilitating comprehensive comparisons and enhancing the reliability of the conclusions drawn.
Forest Fire Prediction: A Spatial Machine Learning and Neural Network Approach
Authors: Sharma Sanjeev , Khanal Puskar
Published: June 2024

The study of forest fire prediction holds significant environmental and scientific importance, particularly in regions like South Carolina (SC) with a high incidence rate of forest fires. Despite the limited existing research on forest fires in this area, the application of machine learning and neural network techniques presents an opportunity to enhance forest fire prevention and control efforts. Utilizing data of forest fire from the SC Forestry Commission for the year 2023, prediction models were developed incorporating various factors such as meteorology, terrain, vegetation, and infrastructure—key drivers of forest fires in SC. Feature importance analysis was employed to construct the final fire prediction model using different machine learning and neural network approaches including Decision Tree (DT), Random Forest (RF), Logistic Regression (LR), Artificial Neural Network (ANN), Support Vector Machine (SVM), and Convolutional Neural Network (CNN). Correlation coefficients analysis was employed to construct the final fire hazard map using a correlation test. The evaluation of predictive performance based on accuracy scores revealed that the DT model achieved the highest accuracy of 90.58%, surpassing other models. However, based on the kernel density map of the fire data from 2000 to 2023, the correlation test gave the better fire hazard map compared to any other machine learning or neural network approach that utilized feature importance. Nonetheless, all models achieved prediction accuracies exceeding 80%. This finding directed us to the approach based on the correlation coefficients rather than to those just based on feature importance. The overlap between fire locations and carbon hotspots provided the immediate need to mitigate the carbon loss due to fire in those locations. These results serve as a valuable resource for forest fire prediction in SC, demonstrating the efficacy of the correlation test, providing a theoretical foundation and data support for future forestry applications in the region, and showing the outperforming capability of this method compared to other approaches based on feature importance and the importance to prioritize areas to mitigate the climate change impact based upon fire prediction.
Toward Scale-Adaptive Subgrid-Scale Model in LES for Turbulent Flow Past a Sphere
Authors: Marefat H. Ali , Alam Jahrul M , Pope Kevin
Published: June 2024

This study explores the dynamics of turbulent flow around a sphere at a Reynolds number of Re=103 using large-eddy simulation, focusing on the intricate connection between vortices and strain within the recirculation bubble of the wake. Employing a relatively new subgrid-scale modeling approach based on scale adaptivity, this research implements a functional relation to compute ksgs that encompasses both vortex-stretching and strain rate mechanisms essential for the energy cascade process. The effectiveness of this approach is analyzed in the wake of the sphere, particularly in the recirculation bubble, at the specified Reynolds number. It is also evaluated in comparison with two different subgrid-scale models through detailed analysis of the coherent structures within the recirculation bubble. These models—scale-adaptive, k-Equation, and dynamic k-Equation—are assessed for their ability to capture the complex flow dynamics near the wake. The findings indicate that while all models proficiently simulate key turbulent wake features such as vortex formation and kinetic energy distribution, they exhibit unique strengths and limitations in depicting specific flow characteristics. The scale-adaptive model shows a good ability to dynamically adjust to local flow conditions, thereby enhancing the representation of turbulent structures and eddy viscosity. Similarly, the dKE model exhibits advantages in energy dissipation and vortex dynamics due to its capability to adjust coefficients dynamically based on local conditions. The comparative analysis and statistical evaluation of vortex stretching and strain across models deepen the understanding of turbulence asymmetries and intensities, providing crucial insights for advancing aerodynamic design and analysis in various engineering fields and laying the groundwork for further sophisticated turbulence modeling explorations.
Preparation and Immobilization Mechanism on a Novel Composite Carrier PDA-CF/PUF to Improve Cells Immobilization and Xylitol Production
Authors: Wang Le , Liu Jianguang , Shen Yan , Yin Yanli , Ni Zifu , Xi Jun , Hu Yuansen , Yuan Qipeng
Published: June 2024

The preparation of a novel composite carrier of polydopamine-modified carbon fiber/polyurethane foam (PDA-CF/PUF) was proposed to improve cell immobilization and the fermentation of xylitol, which is an important food sweetener and multifunctional food additive. Candida tropicalis was immobilized on the composite carrier by adsorption and covalent binding. The properties and immobilization mechanism of the composite carrier and its effect on immobilized cells were investigated. It showed that the modification of PDA enhanced the loading of CF on the PUF surface and the adhesion of cells on the composite carrier surface. Also, the biocompatibility of carriers to cells was improved. In addition, the introduction of PDA increased the active groups on the surface of the carrier, enhanced the hydrophilicity, promoted the cells immobilization, and increased the xylitol yield. It was also found that expression of the related gene XYL1 in cells was significantly increased after the immobilization of the PDA-CF/PUF composite carrier during the fermentation. The PDA-CF/PUF was an immobilized carrier with the excellent biocompatibility and immobilization performance, which has great development potential in the industrial production of xylitol.
A Snapshot, Using a Multi-Omic Approach, of the Metabolic Cross-Talk and the Dynamics of the Resident Microbiota in Ripening Cheese Inoculated with Listeria innocua
Authors: Tata Alessandra , Massaro Andrea , Miano Brunella , Petrin Sara , Antonelli Pietro , Peruzzo Arianna , Pezzuto Alessandra , Favretti Michela , Bragolusi Marco , Zacometti Carmela , Losasso Carmen , Piro Roberto
Published: June 2024

Raw milk cheeses harbor complex microbial communities. Some of these microorganisms are technologically essential, but undesirable microorganisms can also be present. While most of the microbial dynamics and cross-talking studies involving interaction between food-derived bacteria have been carried out on agar plates in laboratory-controlled conditions, the present study evaluated the modulation of the resident microbiota and the changes of metabolite production directly in ripening raw milk cheese inoculated with Listeria innocua strains. Using a proxy of the pathogenic Listeria monocytogenes, we aimed to establish the key microbiota players and chemical signals that characterize Latteria raw milk cheese over 60 days of ripening time. The microbiota of both the control and Listeria-inoculated cheeses was analyzed using 16S rRNA targeted amplicon sequencing, while direct analysis in real time mass spectrometry (DART-HRMS) was applied to investigate the differences in the metabolic profiles of the cheeses. The diversity analysis showed the same microbial diversity trend in both the control cheese and the inoculated cheese, while the taxonomic analysis highlighted the most representative genera of bacteria in both the control and inoculated cheese: Lactobacillus and Streptococcus. On the other hand, the metabolic fingerprints revealed that the complex interactions between resident microbiota and L. innocua were governed by continuously changing chemical signals. Changes in the amounts of small organic acids, hydroxyl fatty acids, and antimicrobial compounds, including pyroglutamic acid, hydroxy-isocaproic acid, malic acid, phenyllactic acid, and lactic acid, were observed over time in the L. innocua-inoculated cheese. In cheese that was inoculated with L. innocua, Streptococcus was significantly correlated with the volatile compounds carboxylbenzaldheyde and cyclohexanecarboxylic acid, while Lactobacillus was positively correlated with some volatile and flavor compounds (cyclohexanecarboxylic acid, pyroxidal acid, aminobenzoic acid, and vanillic acid). Therefore, we determined the metabolic markers that characterize a raw milk cheese inoculated with L. innocua, the changes in these markers with the ripening time, and the positive correlation of flavor and volatile compounds with the resident microbiota. This multi-omics approach could suggest innovative food safety strategies based on the enhanced management of undesirable microorganisms by means of strain selection in raw matrices and the addition of specific antimicrobial metabolites to prevent the growth of undesirable microorganisms.
Exploring the Antimicrobial Efficacy of Low-Cost Commercial Disinfectants Utilized in the Agro-Food Industry Wash Tanks: Towards Enhanced Hygiene Practices
Authors: Chalen-Moreano Francisco , Saeteros-Hernández Angélica , Abdo-Peralta Paula , Frey Catherine , Peralta-Saa Lilia Ofir , Hernández-Allauca Andrea Damaris , Rosero-Erazo Carlos Rolando , Toulkeridis Theofilos
Published: June 2024

The increase in vegetable consumption has underlined the importance of minimizing the risks associated with microbiological contamination of fresh produce. The critical stage of the vegetable washing process has proven to be a key point for cross-contamination and the persistence of pathogens. In this context, the agri-food industry has widely adopted the use of disinfectants to reduce the bacterial load in the wash water. Therefore, we conducted laboratory-scale experiments in order to demonstrate the antimicrobial activity of disinfectants used in the wash tank of agro-food industries. Different wash water matrices of shredded lettuce, shredded cabbage, diced onion, and baby spinach were treated with sodium hypochlorite (NaClO), chlorine dioxide (ClO2), and per-oxyacetic acid (PAA) at recommended concentrations. To simulate the presence of pathogenic bacteria, a cocktail of E. coli O157:H7 was inoculated into the process water samples (PWW) to determine whether concentrations of disinfectants inhibit the pathogen or bring it to a viable non-culturable state (VBNC). Hereby, we used quantitative qPCR combined with different photo-reactive dyes such as ethidium monoazide (EMA) and propidium monoazide (PMA). The results indicated that concentrations superior to 20 ppm NaClO inhibit the pathogen E. coli O157:H7 artificially inoculated in the process water. Concentrations between 10–20 ppm ClO2 fail to induce the pathogen to the VBNC state. At concentrations of 80 ppm PAA, levels of culturable bacteria and VBNC of E. coli O157:H7 were detected in all PWWs regardless of the matrix. Subsequently, this indicates that the recommended concentrations of ClO2 and PAA for use in the fresh produce industry wash tank do not inhibit the levels of E. coli O157:H7 present in the wash water.
Motivational Interviewing as a Strategy to Improve Adherence in IBD Treatment: An Integrative Review Amidst COVID-19 Disruptions
Authors: Mercuri Caterina , Catone Maria , Bosco Vincenzo , Guillari Assunta , Rea Teresa , Doldo Patrizia , Simeone Silvio
Published: June 2024

Aims and Objectives: This review aims to analyze the effectiveness of motivational interviewing (MI) in enhancing therapeutic adherence and compliance in adult patients with inflammatory bowel disease (IBD), especially considering the disruptions caused by the COVID-19 pandemic. Background: IBD, which includes conditions such as ulcerative colitis and Crohn’s disease, affects over 10 million people globally. It significantly impacts both physical and psychological well-being, leading to challenges in therapeutic adherence. Only 25–47% of patients with IBD adequately follow prescribed treatments. Design and Methods: An integrative methodology that combines qualitative and quantitative research was utilized, following a 7-step framework. This framework encompasses identifying the research question, devising a search strategy, performing a critical appraisal, summarizing findings, extracting data, conducting an analysis, and drawing conclusions. Results: Poor adherence to therapy among patients with IBD can exacerbate disease progression and result in complications. MI has been identified as a promising approach to improving both adherence and treatment outcomes. Studies, including those predating the COVID-19 pandemic, have demonstrated MI’s effectiveness in enhancing adherence among patients with IBD. Conclusions: MI shows promise in enhancing adherence among adult patients with IBD. Although initial results are promising, additional research is needed to thoroughly understand its effectiveness across various clinical contexts. Relevance to Clinical Practice: The findings underscore the potential of MI as an integral component of IBD treatment strategies, suggesting that its implementation could enhance patient–provider interactions and lead to better overall health outcomes.
Promoting Inclusive Learning Environments: Leveraging University Websites for Digital Empowerment in the Post-COVID-19 Era
Authors: Mohammad Walaa Sayed , Aldakhil Ali Fahad
Published: June 2024

In an era of global interdependence, universities play a crucial role in promoting social responsibility and sustainable development. The United Nations Convention on the Rights of Persons with Disabilities emphasizes the empowerment of individuals with disabilities, a key aspect of inclusion. The COVID-19 pandemic underscored the necessity of digital platforms to ensure equitable opportunities, particularly for those with disabilities. It highlighted challenges in transitioning to remote operations and stressed the importance of accessible digital tools in maintaining inclusivity during disruptions. This study investigates how university websites promote social responsibility and empower individuals with disabilities in Saudi Arabia, the UK, and the US. It also examines how these websites foster inclusivity, advocate for disability rights, and contribute to societal change. Using a qualitative case study design, the study evaluated university websites focusing on accessibility services, inclusive policies, and academic accommodations. Qualitative content and thematic analyses identified recurring themes and variations. The findings reveal diverse strategies in empowerment initiatives, website maintenance practices, community engagement approaches, the accessibility of support services, and the presentation of success stories. Despite differences among websites, this study underscores their significance in empowering individuals with disabilities. Recommendations aim to guide universities worldwide in enhancing their digital platforms, ensuring inclusivity, especially during challenges like the COVID-19 pandemic.
Exploring the Influence of Family Attitudes and Individual Psychological Factors on Antibiotic Utilization: A Pilot Study
Authors: Castellano Paola , Russo Paolo Maria , Mazzetti Michela
Published: June 2024

The inappropriate use of antibiotics gives rise to detrimental consequences, both physical and emotional, with a decreased quality of life and higher levels of anxiety and depression. The current observational study aimed to investigate the association between awareness, beliefs, and behaviors toward antibiotics, highlighting the modulating role of individual and psychological factors in response to illness and medication. Through an online questionnaire, several psychological indexes, as well as knowledge of, attitude toward, and experiences with antibiotics, both individual and family-related, were assessed in a sample of 100 responders (74 females, mean age 33.37 ± 11.36). A positive association between intake behavior, awareness, and individual attitude emerged. Familial approach to antibiotics appears as a predictor of individual attitude and behavior toward these drugs, and awareness about antibiotic risks mediate the relationship between the tendency to be more compliant with prescriptions (R2 = 0.300; MSE = 1.541; F(2, 98) = 20.737; p < 0.0001). Moreover, individuals with a personality characterized by higher conscientiousness are more aware of antibiotic risks (p < 0.01), whereas individuals with a lower awareness are those with higher indexes of psychophysical discomfort (i.e., anxiety, perceived stress, somatization) and levels of emotional rebound (p < 0.05). Anxiety (F(3, 96) = 3.874; p = 0.012; R2 = 0.108) and somatization (F(2, 97) = 3.114; p = 0.030; R2 = 0.089) also significatively moderated the intake behavior, despite the family approach. Overall, the current study provides preliminary findings regarding the way in which family experiences and individual psychological aspects may be influencing factors in the behavior and attitude towards antibiotics and can be used to plan patient-centered therapeutic communication and education.
Post-Donation Evaluation: Emotional Needs for Social Connection and Social Support among Living Kidney Donors—A Systematic Review
Authors: Colonnello Valentina , La Manna Gaetano , Cangini Gabriella , Russo Paolo Maria
Published: June 2024

Introduction: Evaluation of post-nephrectomy social health in living kidney donors is essential. This systematic review examines their emotional need for social relatedness post-donation. Methods: Following the PRISMA guidelines, we systematically searched Scopus, CINAHL, and PsycINFO. Results: Among the screened records, 32 quantitative and 16 qualitative papers met the inclusion criteria. Quantitative research predominantly utilized questionnaires featuring generic items on social functioning. However, a minority delved into emotional and social dimensions, aligning with qualitative studies emphasizing the importance of social connection and perceived social support post-donation. Specifically, post-donation changes in connecting with others encompass a sense of belongingness, heightened autonomy, shifts in concern for the recipient’s health, and continued care by shielding the recipient from personal health issues. Social acknowledgment and social support from both close and extended networks are reported as relevant for recovery after nephrectomy. Discussion: These findings underscore the necessity for targeted measures of emotional needs and social functioning to effectively assess post-donation adjustment. They also inform the identification of key health themes for kidney donor Patient-Reported Outcome Measures (PROMs) and Patient-Reported Experience Measures (PREMs) questions.