bluuebunny/crossref_metadata_2025 huggingface dataset:
Discharge Experiment and Structure Optimisation Simulation of Impulse Sound Source
Authors: Gao Xu , Zhou Jing , Xie Haiming , Du Xiao
Published: September 2024

The wave frequency and energy of traditional piezoelectric emission sources used in acoustic logging are limited, which results in an inadequate detection resolution for measuring small-scale geological formations. Additionally, the propagation of these waves in formations is prone to loss and noise interference, restricting detection to only a few tens of meters around the well. This paper investigates an impulse sound source, a new emission source that can effectively enhance the frequency range and wave energy of traditional sources by generating excitation waves through high-voltage discharges in a fluid-penetrated electrode structure. Firstly, a high-voltage circuit experimental system for the impulse sound source was constructed, and the discharge and response characteristics were experimentally analyzed. Then, four types of needle series electrode structure models were developed to investigate and compare the effects of different electrode structures on the impulse sound source, with the needle-ring electrode demonstrating superior performance. Finally, the needle-ring electrode structure was optimized to develop a ball-tipped needle-ring electrode, which is more suitable for acoustic logging. The results show that the electrode structure directly influences the discharge characteristics of the impulse sound source. After comparison and optimization, the final ball-tipped needle-ring electrode exhibited a broader frequency range—from zero to several hundred thousand Hz—while maintaining a high acoustic amplitude. It has the capability to detect geological areas beyond 100 m and is effective for evaluating micro-fractures and small fracture blocks near wells that require high detection accuracy. This is of significant importance in oil, gas, new energy, and other drilling fields.
SO2 Emissions from Oil Shale Oxyfuel Combustion in a 60 kWth Circulating Fluidized Bed
Authors: Baqain Mais , Neshumayev Dmitri , Konist Alar
Published: September 2024

Carbon capture, utilization, and storage (CCUS) have emerged as pivotal technologies for curtailing emissions while maintaining fossil fuel. Estonia faces a challenge due to its dependence on carbon-intensive oil shale, but the need for energy security, highlighted by the war in Ukraine, makes reducing CO2 emissions a priority while maintaining energy independence. In this context, the presented study determines the environmental impact of combustion of the Estonian oil shale from the release of SO2 emission and compares sulfur retention in the ash between different oxyfuel combustion campaigns in a 60 kWth CFB test facility. The pilot was operated under air, O2/CO2, and with recycled flue gas (RFG), and we tested the application of extremely high inlet O2 up to 87%vol. The key objective of this study is to examine how different combustion atmospheres, operating temperatures, and excess oxygen ratios influence SO2 formation. Additionally, the research focuses on analyzing anhydrite (CaSO4), calcite (CaCO3), and lime (CaO) in ash samples collected from the dense bed region (bottom ash) and the external heat exchanger (circulating ash). The results indicate that increased inlet O2% does not significantly affect SO2 emissions. Compared to air-firing, SO2 emissions were higher than 40 mg/MJ under a 21/79%vol O2/CO2 environment but were significantly reduced, approaching zero, as the inlet O2% increased to 50%. Under O2/RFG conditions, higher SO2 concentrations led to increased sulfur retention in both the bottom and circulating ash. The optimal temperature for sulfur retention in air and oxyfuel combustions is below 850 °C. This study for the first time provides a technical model and discusses the effects of operating parameters on sulfur emissions of the Estonian oil shale CFB oxyfuel combustion.
Research on Differentiated Lightning Protection of Overhead Distribution Lines under Continuous Lightning Strikes
Authors: Li Duanjiao , Sun Wenxing , Song Kunyu , Zhu Ruifeng , Zhong Zhenxin , Ding Tongshu , Gao Jiachen
Published: September 2024

Distribution lines are an important component of a power system. Lightning disasters have serious adverse effects on the reliability of the power supply in distribution networks. In response to the current lack of research on lightning protection in distribution networks under continuous lightning strikes, we built a transient simulation model and calculated the lightning withstanding level and lightning outage rate of distribution lines under continuous lightning strikes. In addition, the impact of different factors on the lightning withstanding level and lightning outage rate of distribution lines under continuous lightning strikes was calculated for different lightning protection strategies. Finally, differentiated lightning protection strategies based on the lightning outage rate calculation were proposed.
Estimation of Energy-Saving Potential Using Commercial SiC Power Converters
Authors: Spejo Lucas Barroso , Thekemuriyil Tanya , Minamisawa Renato Amaral
Published: September 2024

This study evaluates the annual global energy-savings potential of various power electronics applications utilizing commercial silicon carbide (SiC) wide bandgap (WBG)-based power converters. As the first analysis to focus on real market products, our findings reveal that SiC-based converters offer significant energy-saving potential across all examined applications. Additionally, given the substantial yearly growth in installing photovoltaic (PV) systems and electric vehicle (EV) chargers, we project a considerable future energy-saving potential. This research underscores the importance of SiC technology in enhancing energy efficiency and supports its broader adoption in power electronics to achieve global energy savings.
Optimal Clean Energy Resource Allocation in Balanced and Unbalanced Operation of Sustainable Electrical Energy Distribution Networks
Authors: Kumar Abhinav , Kumar Sanjay , Sinha Umesh Kumar , Bohre Aashish Kumar , Saha Akshay Kumar
Published: September 2024

Electric power is crucial for economic growth and the overall development of any country. The efficient planning of distribution system is necessary because all the consumers mainly rely on the distribution network to access the power. This paper focuses on addressing distribution system challenges and meeting consumers’ fundamental needs, such as achieving an improved voltage profile and minimizing costs within an environmentally sustainable framework. This work addressed the gap in the existing research by analysing the performance of both balanced and unbalanced systems within the same framework, specifically using the IEEE 33-bus and IEEE 118-bus test systems. Unlike prior studies that focused solely on either balanced or unbalanced systems, this work redistributed balanced loads into three-phase unequal unbalanced loads to create a more challenging unbalanced distribution network. The primary objective is to compare the effects of balanced and unbalanced loads on system the performances and to identify strategies for mitigating unbalanced load issues in each phase. Six optimization methods (PSO, TLBO, JAYA, SCA, RAO, and HBO) were employed to minimize losses, voltage variations, and other multi-objective function factors. Additionally, the study compared the cost of energy loss (CEL), emission factors, costs associated with distributed clean energy resources (DCER), and active and reactive power losses. Phase angle distortions due to unbalanced loads were also analysed. The results showed that among the optimization techniques tested (PSO, TLBO, JAYA, SCA, RAO, and HBO), the HBO method proved to be the most effective for the optimal allocation of distributed clean energy resources, yielding the lowest PFMO values and favourable outcomes across the technical, economic, and environmental parameters.
Impacts of Natural Gas Pipeline Congestion on the Integrated Gas–Electricity Market in Peru
Authors: Navarro Richard , Rojas Hugo , Luyo Jaime E. , Silva Jose L. , Molina Yuri P.
Published: September 2024

This paper investigates the impact of natural gas pipeline congestion on the integrated gas–electricity market in Peru, focusing on short-term market dynamics. By simulating congestion by reducing the primary natural gas pipeline’s capacity, the study reveals significant patterns in production costs and load flows within the electrical network. The research highlights the critical interdependencies between natural gas and electricity systems, emphasizing how constraints in one network can directly affect the other. The findings underscore the importance of coordinated management of these interconnected systems to optimize economic dispatch and ensure the reliability of both gas and electricity grids. The study also proposes strategic public policy interventions to mitigate the financial and physical impacts of pipeline congestion, contributing to more efficient and resilient energy market operations.
Quantitative Evaluation of the Applicability of Classical Forest Ecosystem Carbon Cycle Models in China: A Case Study of the Biome-BGC Model
Authors: Fang Minzhe , Liu Wei , Zhang Jieyu , Ma Jun , Liang Zhisheng , Yu Qiang
Published: September 2024

The Biome-BGC model is a classic forest ecosystem carbon cycle model driven by remote sensing and plant trait data, and it has been widely applied in various regions of China over the years. However, does the Biome-BGC model have good applicability in all regions of China? This question implies that the rationality of some applications of the Biome-BGC model in China might be questionable. To quantitatively assess the overall spatial applicability of the Biome-BGC model in China’s vegetation ecosystems, this study selected ten representative forest and grassland ecosystem sites, all of which have publicly available carbon flux data. In this study, we first used the EFAST method to identify the sensitive ecophysiological parameters of the Biome-BGC model at these sites. Subsequently, we calibrated the optimal values of these sensitive parameters through a literature review and the PEST method and then used these to drive the Biome-BGC model to simulate the productivity (including GPP and NEP) of these ten forest and grassland ecosystems in China. Finally, we compared the simulation accuracy of the Biome-BGC model at these ten sites in detail and established the spatial pattern of the model’s applicability across China. The results show that the sensitive ecophysiological parameters of the Biome-BGC model vary with spatial distribution, plant functional types, and model output variables. After conducting parameter sensitivity analysis and optimization, the simulation accuracy of the Biome-BGC model can be significantly improved. Additionally, for forest ecosystems in China, the model’s simulation accuracy decreases from north to south, while for grassland ecosystems, the accuracy increases from north to south. This study provides a set of localized ecophysiological parameters and advocates that the use of the Biome-BGC model should be based on parameter sensitivity analysis and optimization.
Exploring the Phytochemical Profiles, and Antioxidant and Antimicrobial Activities of the Hydroethanolic Grape Pomace Extracts from Two Romanian Indigenous Varieties
Authors: Grosu Alexandru Cristian , Diguță Filofteia Camelia , Pristavu Mircea-Cosmin , Popa Aglaia , Badea Florentina , Dragoi Cudalbeanu Mihaela , Orțan Alina , Dopcea Ioan , Băbeanu Narcisa
Published: September 2024

In this study, the potential value of dried grape pomace (whole, seed, and skin) obtained from Fetească Neagră (FN) and Tămâioasă Românească (TR) as a source of secondary metabolites was evaluated following hydroethanolic extraction. The total polyphenol, flavonoid, and anthocyanin contents of FN and TR extracts have been determined, along with their antioxidant and antimicrobial activities. The investigation of seeds and the whole pomace FN extracts revealed higher levels of polyphenol, flavonoid, and anthocyanin content in comparison to those extracted from TR. Fifteen polyphenolic compounds were identified through ultra-high-performance liquid chromatography (UHPLC) analysis. The most abundant concentrations of catechin and epicatechin were detected in seed and whole pomace extracts derived from both Romanian grape varieties. The antioxidant activity was higher in the whole pomace and skin extracts derived from FN than those derived from TR. The antimicrobial evaluation demonstrated that 15 out of 18 reference pathogenic bacteria exhibited low MIC and MBC values, indicating a strong antibacterial activity of FN and TR extracts. No anti-Candida activity was observed. It can be reasonably deduced that the Fetească Neagră and Tămâioasă Românească by-products represent a sustainable resource for the development of new functional ingredients for the pharmaceutical and food industries, in alignment with the principles of the circular bioeconomy.
Optimization of Consolidated Bioprocessing Fermentation of Uncooked Sweet Potato Residue for Bioethanol Production by Using a Recombinant Amylolytic Saccharomyces cerevisiae Strain via the Orthogonal Experimental Design Method
Authors: Wang Xin , Gou Chenchen , Zheng Haobo , Guo Na , Li Yanling , Liao Aimei , Liu Na , Tian Hailong , Huang Jihong
Published: September 2024

An amylolytic industrial yeast strain named 1974-GA-temA, developed previously by our research team by coexpressing the α-amylase and glucoamylase genes, combines enzyme production, sweet potato residue (SPR) hydrolysis, and glucose fermentation into ethanol in a one-step process. This consolidated bioprocessing (CBP) method has great application potential in the commercial production of bioethanol from SPR, but important fermentation parameters should be optimized to further increase the ethanol concentration and yield. In this study, the effects of the initial fermentation pH, solid-to-liquid ratio, inoculation volume, addition of exogenous enzyme, and supplementation with metal ions were systemically investigated. Single-factor experiments revealed that the optimal pH was 4.0. In the solid-to-liquid ratio test, an increase in the solid-to-liquid ratio corresponded with a gradual increase in the ethanol concentration, peaking at 1:5. However, the ethanol yield gradually decreased, with the optimal solid-to-liquid ratio identified as 1:5. The ethanol concentration and yield reached 9.73 g/L and 5.84%, respectively. Additionally, an increase in the inoculum size resulted in increased ethanol concentration and yield, with the optimal inoculum level determined to be 10%. An ethanol concentration of 7.87 g/L was attained under these specified conditions, equating to an ethanol yield of 4.72%. Further analysis was conducted to assess the effects of exogenous cellulase, hemicellulase, and pectinase, both individually and in combination, on ethanol concentration and yield. The results indicated that pectinase had a particularly significant effect. The highest ethanol concentration was observed when all three enzymes were administered concurrently, yielding 27.27 g/L ethanol. Then, the role of metal ions in SPR fermentation was evaluated. The metal ions did not significantly affect the process, with the exception of copper ions. The addition of copper ions at a specific concentration of 0.2 g/100 g SPR increased the ethanol concentration. However, concentrations exceeding 0.2 g/100 g SPR inhibited yeast cell growth. Finally, orthogonal optimization was employed to determine the optimal combination of factors: pH, 4.0; solid-to-liquid ratio, 1:6; inoculation volume, 10%; cellulase and pectinase addition; and the absence of Cu2+ addition. Under these conditions, strain 1974-GA-temA produced 34.83 ± 0.62 g/L ethanol after 8 days of fermentation, corresponding to a 20.90% ± 0.37% ethanol yield. This value markedly exceeds the outcomes of all the conducted orthogonal experiments. The fermentation optimization experiments in this study are expected to increase ethanol production during the CBP fermentation of SPR.
Probiotic Feed Additives Mitigate Odor Emission in Cattle Farms through Microbial Community Changes
Authors: Park Min-Kyu , Hwang Tae-Kyung , Kim Wanro , Jo YoungJae , Park Yeong-Jun , Kim Min-Chul , Son HyunWoo , Seo DaeWeon , Shin Jae-Ho
Published: September 2024

Odor emissions from animal manure present a significant environmental challenge in livestock farming, impacting air quality and farm sustainability. Traditional methods, such as chemical additives and manure treatment, can be costly, labor-intensive, and less eco-friendly. Therefore, this study investigated the effectiveness of microbial feed additives in reducing these odors. Conducted over three months in 2022 on a Korean beef cattle farm with 20 cattle, the experiment involved feeding a mixture of four microbial strains—Bacillus subtilis KNU-11, Lactobacillus acidophilus KNU-02, Lactobacillus casei KNU-12, and Saccharomyces cerevisiae KNU-06. Manure samples were collected from an experimental group (n = 9) and a control group (n = 11), with microbial community changes assessed through 16S ribosomal RNA gene amplicon sequencing. The results demonstrated significant reductions in specific odorous compounds in the experimental group compared to the control group: ammonia decreased by 64.1%, dimethyl sulfide by 81.3%, butyric acid by 84.6%, and isovaleric acid by 49.8%. Additionally, there was a notable shift in the microbiome, with an increase in the relative abundance of Ruminococcaceae and Prevotellaceae microbes associated with fiver degradation and fermentation, while the control group had higher levels of Bacteroidota and Spirochaetota, which are linked to pathogenicity. This study demonstrates that probiotics effectively alter intestinal microbiota to enhance microorganisms associated with odor mitigation, offering a promising and more sustainable approach to reducing odor emissions in livestock farming.
Effect of Solid-State Fermentation of Hericium erinaceus on the Structure and Physicochemical Properties of Soluble Dietary Fiber from Corn Husk
Authors: Ban He , Liu Qiannan , Xiu Lin , Cai Dan , Liu Jingsheng
Published: September 2024

Corn husk, a by-product of corn starch production and processing, contains high-quality dietary fiber (DF). Our study compares and analyzes the impact of Hericium erinaceus solid-state fermentation (SSF) on the structure and physicochemical characteristics of soluble dietary fiber (SDF) of corn husks. The study also investigates the kinetics of SSF of H. erinaceus in this process. The scanning electron microscopy (SEM) and Fourier transform infrared spectroscopy (FT-IR) results revealed significant structural changes in corn husk SDF before and after fermentation, with a significant elevation in the functional group numbers. The data indicate that the fermented corn husk SDF’s water-holding, swelling, and oil-holding capacities increased to 1.57, 1.95, and 1.80 times those of the pre-fermentation SDF, respectively. Additionally, the results suggest that changes in extracellular enzyme activity and nutrient composition during SSF of H. erinaceus are closely associated with the mycelium growth stage, with a mutual promotion or inhibition relationship between the two. Our study offers a foundation for corn husk SDF fermentation and is relevant to the bioconversion of maize processing by-products.
Testing a Nonlinear Solution of the Israel–Stewart Theory
Authors: Cruz Miguel , Cruz Norman , González Esteban , Lepe Samuel
Published: September 2024

In this work, we test the ability of an exact solution, found in the framework of a nonlinear extension of the Israel–Stewart theory, to fit the supernovae Ia, gravitational lensing, and black hole shadow data. This exact solution is a generalization of one previously found for a dissipative unified dark matter model in the context of the near-equilibrium description of dissipative processes, where we do not have the full regime of the nonlinear picture. This generalized solution is restricted to the case where a positive entropy production is guaranteed and is tested under the condition that ensures its causality, local existence, and uniqueness. From the observational constraints, we found that this generalized solution is a good candidate in the description of the observational late-time data used in this work, with best-fit values of H0=73.2−0.9+0.8km/sMpc, q0=−0.41−0.03+0.03, ξ^0=0.88−0.17+0.09, ϵ=0.34−0.04+0.03, and k=0.27−0.20+0.37, at a 1σ(68.3%) of confidence level. We show that the nonlinear regime of the Israel–Stewart theory consistently describes the recent accelerated expansion of the universe without the inclusion of some kind of dark energy component and also provides a more realistic description of the fluids that make up the late universe.
The Influence of the Structural Architecture on the Swelling Kinetics and the Network Behavior of Sodium-Alginate-Based Hydrogels Cross-Linked with Ionizing Radiation
Authors: Călina Ion , Demeter Maria , Crăciun Gabriela , Scărișoreanu Anca , Mănăilă Elena
Published: September 2024

The present work discusses the influence of the structural architecture of sodium alginate–co-acrylic acid–poly(ethylene) oxide hydrogels, crosslinked through electron beam (e-beam) radiation processing. The most important properties of the hydrogels were studied in detail to identify a correlation between the architecture of the hydrogels and their properties. Furthermore, the effect of sodium alginate (NaAlg) concentration, the amounts of the polymer blend, and the size of the samples on hydrogel properties were investigated. The results show that the hydrogels cross-linked (0.5% and 1% NaAlg) with 12.5 kGy exhibit improved physicochemical properties. High gel fraction levels (exceeding 83.5–93.7%) were achieved. Smaller hydrogel diameter (7 mm) contributed to a maximum swelling rate and degree of 20.440%. The hydrogel network was dependent on the hydrogels’ diameter and the amount of polymer blend used. The hydrogels best suited the first-order rate constants and exhibited a non-Fickian diffusion character with diffusion exponent values greater than 0.5. This study indicates that the cross-linked hydrogel has good properties, particularly because of its high degree of swelling and extensive stability (more than 180 h) in water. These findings show that hydrogels can be effectively applied to the purification of water contaminated with metals, dyes, or even pharmaceuticals, as well as materials with a gradual release of bioactive chemicals and water retention.
Developing a Machine Learning ‘Smart’ Polymerase Chain Reaction Thermocycler Part 2: Putting the Theoretical Framework into Practice
Authors: McDonald Caitlin , Taylor Duncan , Brinkworth Russell S. A. , Linacre Adrian
Published: September 2024

The introduction of PCR into forensic science and the rapid increases in the sensitivity, specificity and discrimination power of DNA profiling that followed have been fundamental in shaping the field of forensic biology. Despite these developments, the challenges associated with the DNA profiling of trace, inhibited and degraded samples remain. Thus, any improvement to the performance of sub-optimal samples in DNA profiling would be of great value to the forensic community. The potential exists to optimise the PCR performance of samples by altering the cycling conditions used. If the effects of changing cycling conditions upon the quality of a DNA profile can be well understood, then the PCR process can be manipulated to achieve a specific goal. This work is a proof-of-concept study for the development of a smart PCR system, the theoretical foundations of which are outlined in part 1 of this publication. The first steps needed to demonstrate the performance of our smart PCR goal involved the manual alteration of cycling conditions and assessment of the DNA profiles produced. In this study, the timing and temperature of the denaturation and annealing stages of the PCR were manually altered to achieve the goal of reducing PCR runtime while maintaining an acceptable quality and quantity of DNA product. A real-time feedback system was also trialled using an STR PCR and qPCR reaction mix, and the DNA profiles generated were compared to profiles produced using the standard STR PCR kits. The aim of this work was to leverage machine learning to enable real-time adjustments during a PCR, allowing optimisation of cycling conditions towards predefined user goals. A set of parameters was found that yielded similar results to the standard endpoint PCR methodology but was completed 30 min faster. The development of an intelligent system would have significant implications for the various biological disciplines that are reliant on PCR technology.
Evaluating the Impact of Continuous Glucose Monitoring on Erectile Dysfunction in Type 1 Diabetes: A Focus on Reducing Glucose Variability and Inflammation
Authors: Tecce Nicola , Menafra Davide , Proganò Mattia , Tecce Mario Felice , Pivonello Rosario , Colao Annamaria
Published: September 2024

Type 1 diabetes (T1D) severely impairs metabolic control and can lead to erectile dysfunction (ED) through hyperglycemia-induced vascular damage, autonomic neuropathy, and psychological distress. This review examines the role of continuous glucose monitoring (CGM) in ameliorating ED by addressing glucose variability and inflammation. A comprehensive analysis of studies and clinical trials was conducted to evaluate the impact of CGM on metabolic control, inflammatory responses, and vascular health in patients with T1D. Evidence suggests that CGM systems significantly stabilize blood glucose levels and reduce hyper- and hypoglycemic episodes that contribute to endothelial dysfunction and ED. CGM’s real-time feedback helps patients optimize metabolic control, improve vascular health, and reduce inflammation. CGM has the potential to redefine ED management in patients with T1D by improving glycemic control and reducing the physiological stressors that cause ED, potentially improving quality of life and sexual health. Further research is warranted to explore the specific benefits of CGM for ED management.
The Evolution of Patient Satisfaction in Postoperative Care: The Impact of Investments and the Algorithm for Assessing Significant Growth over the Last 5 Years
Authors: Vladu Adriana , Ghitea Timea Claudia , Daina Lucia Georgeta , Ilea Codrin Dan Nicolae , Daina Mădălina Diana
Published: September 2024

An analysis of patient satisfaction in the context of healthcare reflects the patient’s perception of actual care through the prism of their expectations of ideal care. A study was conducted to investigate patient satisfaction with postoperative care in the context of improvements in hospital medical services (renovations and modernization of operating rooms and wards with beds, endowments in medical equipment for investigation and treatment, new work procedures, and revisions of existing procedures). Statistical analysis was performed based on the questionnaires distributed to patients hospitalized in the surgical wards of the Bihor County Emergency Clinical Hospital, between 2019 and 2023. A total of 4018 questionnaires were collected, and after the elimination of questionnaires with incomplete or incorrect data, 3985 remained in the analysis. Of the total of 2994 people who reported having undergone surgery, a total of 2090 responded to the questions that focused on postoperative care and overall impression of the hospital. No statistically significant differences in patient satisfaction by sociodemographic factors were found. A statistically significant increase in patient satisfaction with postoperative care and overall impression of the hospital was observed over the last 5 years. Correlation testing between postoperative care responses and overall impression, using the Sperman method, shows a directly proportional relationship between the two variables. In the future, it is necessary to extend the patient satisfaction questionnaire to comprehensively analyze the surgical component in order to identify gaps in postoperative care, helping decision makers to improve the medical services provided to patients.
Dysphagia Prevalence in Brazil, UK, China, and Indonesia and Dysphagic Patient Preferences
Authors: Cook Joseph , Sapia Molly , Walker Chris , Pittaoulis Melissa
Published: September 2024

Background: Dysphagia is common, but there is limited information about its prevalence and patient preferences regarding dosage forms (oral solids, liquids, topical, etc.) in Brazil, China, the United Kingdom (UK), and Indonesia. Methods: We conducted an online survey of 1000 adults from each country, without any required disease, to estimate the prevalence of dysphagia in these four nations and the dosage form preferences among UK patients. Results: A total of 36.9%, 40.5%, 54.9%, and 64.5% from the UK, Indonesia, Brazil, and China, respectively, had an Eating Assessment Tool (EAT-10) score of ≥3 (indicative of dysphagia). Only 2% of UK respondents and 5% of Brazilian respondents reported a formal diagnosis of dysphagia. Indonesian (74%) and Chinese respondents (77%) were more likely than Brazilian (52%) and UK respondents (45%) to report that their swallowing problems affected their ability to adhere to medication instructions. Liquids were the oral medication formulation most preferred by those who reported difficulty swallowing. Conclusions: To conclude, substantial populations have difficulty swallowing, which can translate into an access issue for medical treatment. The availability of people’s preferred dosage forms may help alleviate the adherence issues associated with difficulty swallowing and the concomitant effects on health outcomes.
Nano ZnO and Bioinoculants Mitigate Effects of Deficit Irrigation on Nutritional Quality of Green Peppers
Authors: Martins Bruna Lorrane Rosendo , Ferreira Kaikí Nogueira , Rocha Josinaldo Lopes Araujo , Araujo Railene Hérica Carlos Rocha , Lopes Guilherme , Santos Leônidas Canuto dos , Bezerra Neto Francisco , Sá Francisco Vaniés da Silva , Silva Toshik Iarley da , da Silva Whashington Idalino , de Lima Geovani Soares , Paiva Francisco Jean da Silva , Santos José Zilton Lopes
Published: September 2024

Green peppers (Capsicum annuum L.) are a fruit vegetable with great culinary versatility and present important nutritional properties for human health. Water deficit negatively affects the nutritional quality of green peppers’ fruits. This study aimed to investigate the influence of zinc oxide nanoparticles (ZnONPs), associated with plant growth-promoting bacteria (PGPB), on the post-harvest nutritional quality of green peppers subjected to water deficit. In an open-field experiment, two irrigation levels (50 and 100% of crop evapotranspiration (Etc)), four treatments composed of a combination of ZnONPs, zinc sulfate (ZnSO4), and PGPB (T1 = ZnSO4 via leaves, T2 = ZnONPs via leaves, T3 = ZnONPs via leaves + PGPB via soil, T4 = ZnSO4 via soil + PGPB via soil), and a control treatment (Control) were tested. Water deficit or water deficit mitigation treatments did not interfere with the physical–chemical parameters (except vitamin C content) and physical color parameters (except the lightness) of green peppers. On average, the water deficit reduced the levels of Ca (−13.2%), Mg (−8.5%), P (−8.5%), K (−8.6%), Mn (−10.5%), Fe (−12.2%), B (−12.0%), and Zn (−11.5%) in the fruits. Under the water deficit condition, ZnONPs or ZnSO4 via foliar, associated or not with PGPB, increased the levels of Ca (+57% in the T2 and +69.0% in the T2), P, Mg, and Fe in the fruits. At 50% Etc, the foliar application of ZnONPs in association with PGPB increases vitamin C and mineral nutrients’ contents and nutritional quality index (+12.0%) of green peppers. Applying Zn via foliar as ZnONPs or ZnSO4 mitigated the negative effects of water deficit on the quality of pepper fruits that were enhanced by the Bacillus subtilis and B. amyloliquefaciens inoculation. The ZnONPs source was more efficient than the ZnSO4 source. The water deficit alleviating effect of both zinc sources was enhanced by the PGPB.
Machine Learning Model for River Discharge Forecast: A Case Study of the Ottawa River in Canada
Authors: Ahmed M. Almetwally , Li S. Samuel
Published: September 2024

River discharge is an essential input to hydrosystem projects. This paper aimed to modify the group method of data handling (GMDH) to create a new artificial intelligent forecast model (abbreviated as MGMDH) for predicting discharges at river cross-sections (CSs). The basic idea was to optimise the weights for selected hydrometric and meteorological predictors. One novelty of this study was that MGMDH could take the discharge observed from a neighbouring CS as a predictor when observations from the CS of interest had ceased. Another novelty was that MGMDH could include meteorological parameters as extra predictors. The model was validated using data from natural rivers. For given lead times, MGMDH automatically determined the best forecast equations, consistent with physical river hydraulics laws. This automation minimised computing time while improving accuracy. The model gave reliable forecasts, with a coefficient of determination greater than 0.978. For lead times close to the advection time from upstream to the CS of interest, the forecast had the highest reliability. MGMDH results compared well with some other machine learning models, like neural networks and the adaptive structure of the group method of data handling. It has potential applications for efficiently forecasting discharge and offers a tool to support flood management.
3,5-Dimethyl-2,4,6-trimethoxychalcone Lessens Obesity and MAFLD in Leptin-Deficient ob/ob Mice
Authors: Gaigé Stéphanie , Abysique Anne , Barbouche Rym , Tonetto Alain , Di Maio Attilio , Robin Maxime , Lormier Anh-Tuan , Troadec Jean-Denis
Published: September 2024

Chalcones constitute an important group of natural compounds abundant in fruits and comestible plants. They are a subject of increasing interest because of their biological activities, including anti-diabetic and anti-obesity effects. The simple chalcone structural scaffold can be modified at multiple sites with different chemical moieties. Here, we generated an artificial chalcone, i.e., 3,5-dimethyl-2,4,6-trimethoxychalcone (TriMetChalc), derived from 2′,4′-Dihydroxy-6′-methoxy-3′,5′-dimethylchalcone (DMC). DMC is a major compound of Cleistocalyx operculatus, a plant widely used in Asia for its anti-hyperglycemic activity. Using ob/ob mice as an obesity model, we report that, after 3 weeks of per os administration, TriMetChalc modified food intake through the specific activation of brain structures dedicated to the regulation of energy balance. TriMetChalc also decreased weight gain, glucose intolerance, and hepatic steatosis. Moreover, through extensive liver lipidomic analysis, we identified TriMetChalc-induced modifications that could contribute to improving the liver status of the animals. Hence, TriMetChalc is a chalcone derivative capable of reducing food intake and the addition of glucose intolerance and hepatic steatosis in a mouse model of obesity. In light of these results, we believe that TriMetChalc action deserves to be more deeply evaluated over longer treatment periods and/or in combination with other chalcones with protective effects on the liver.
Preparation of NH2-MIL-101(Fe) Metal Organic Framework and Its Performance in Adsorbing and Removing Tetracycline
Authors: Luo Yiting , Su Rongkui
Published: September 2024

Tetracycline’s accumulation in the environment poses threats to human health and the ecological balance, necessitating efficient and rapid removal methods. Novel porous metal–organic framework (MOF) materials have garnered significant attention in academia due to their distinctive characteristics. This paper focuses on studying the adsorption and removal performance of amino-modified MIL-101(Fe) materials towards tetracycline, along with their adsorption mechanisms. The main research objectives and conclusions are as follows: (1) NH2-MIL-101(Fe) MOF materials were successfully synthesized via the solvothermal method, confirmed through various characterization techniques including XRD, FT-IR, SEM, EDS, XPS, BET, and TGA. (2) NH2-MIL-101(Fe) exhibited a 40% enhancement in tetracycline adsorption performance compared to MIL-101(Fe), primarily through chemical adsorption following pseudo-second-order kinetics. The adsorption process conformed well to Freundlich isotherm models, indicating multilayer and heterogeneous adsorption characteristics. Thermodynamic analysis revealed the adsorption process as a spontaneous endothermic reaction. (3) An increased adsorbent dosage and temperature correspondingly improved NH2-MIL-101(Fe)’s adsorption efficiency, with optimal performance observed under neutral pH conditions. These findings provide new strategies for the effective removal of tetracycline from the environment, thus holding significant implications for environmental protection.
Implications of Dysnatremia and Endocrine Disturbances in COVID-19 Patients
Authors: Zlosa Mihaela , Grubišić Barbara , Švitek Luka , Sabadi Dario , Canecki-Varžić Silvija , Mihaljević Ivica , Bilić-Ćurčić Ines , Kizivat Tomislav
Published: September 2024

Sodium imbalance is a common electrolyte disturbance in COVID-19, often linked to disruptions in hormonal regulation. This review explores the relationship between sodium dysregulation and endocrine disturbances, particularly focusing on primary and secondary hypothyroidism, hypocortisolism, and the renin–angiotensin–aldosterone system (RAAS). Hypocortisolism in COVID-19, due to adrenal insufficiency or secondary to pituitary dysfunction, can lead to hyponatremia through inadequate cortisol levels, which impair renal free water excretion and enhance antidiuretic hormone (ADH) secretion. Similarly, hypothyroidism is associated with decreased renal blood flow and the glomerular filtration rate (GFR), which also increases ADH activity, leading to water retention and dilutional hyponatremia. Furthermore, COVID-19 can disrupt RAAS (primarily through its interaction with the angiotensin-converting enzyme 2 (ACE2) receptor), diminishing aldosterone secretion and further contributing to sodium loss and hyponatremia. These hormonal disruptions suggest that sodium imbalance in COVID-19 is multifactorial and warrants further investigation into the complex interplay between COVID-19, endocrine function, and sodium homeostasis. Future research should focus on understanding these mechanisms to develop management algorithms that address both sodium imbalance and underlying hormonal disturbances in order to improve prognosis and outcomes in COVID-19 patients.
Bioinformatic Analysis of IKK Complex Genes Expression in Selected Gastrointestinal Cancers
Authors: Żebrowska-Nawrocka Marta , Szmajda-Krygier Dagmara , Krygier Adrian , Jeleń Agnieszka , Balcerczak Ewa
Published: September 2024

Gastrointestinal cancers account for over a quarter of all cancer cases and are associated with poor prognosis and high mortality rates. The IKK complex (the canonical I kappa B kinase), comprising the CHUK, IKBKB, and IKBKG genes, plays a crucial role in activating the NF-kB signaling pathway. This study aimed to analyze publicly available bioinformatics data to elucidate the oncogenic role of IKK genes in selected gastrointestinal cancers. Our findings reveal that IKBKB and IKBKG are significantly upregulated in all examined cancers, while CHUK is upregulated in esophageal carcinoma and stomach adenocarcinoma. Additionally, the expression of IKK genes varies with histological grade and nodal metastases. For instance, in stomach adenocarcinoma, CHUK and IKBKB are upregulated in higher histological grades and greater lymph node infiltration. Lower expression levels of CHUK, IKBKB, and IKBKG in stomach adenocarcinoma and IKBKB in esophageal squamous cell carcinoma correlate with shorter overall survival. Conversely, in esophageal adenocarcinoma, reduced IKBKG expression is linked to longer overall survival, while higher IKBKB expression in colon adenocarcinoma is associated with longer overall survival. Given the significant role of IKK genes in the development and progression of selected gastrointestinal cancers, they hold potential as prognostic markers and therapeutic targets, offering valuable insights for clinical practice.
Lacticaseibacillus paracsei HY7207 Alleviates Hepatic Steatosis, Inflammation, and Liver Fibrosis in Mice with Non-Alcoholic Fatty Liver Disease
Authors: Kim Hyeon-Ji , Jeon Hye-Jin , Kim Dong-Gun , Kim Joo-Yun , Shim Jae-Jung , Lee Jae-Hwan
Published: September 2024

Non-alcoholic fatty acid disease (NAFLD) is caused by a build-up of fat in the liver, inducing local inflammation and fibrosis. We evaluated the effects of probiotic lactic acid-generating bacteria (LAB) derived from a traditional fermented beverage in a mouse model of NAFLD. The LAB isolated from this traditional Korean beverage were screened using the human hepatic cell line HepG2, and Lactocaseibacillus paracasei HY7207 (HY7207), which was the most effective inhibitor of fat accumulation, was selected for further study. HY7207 showed stable productivity in industrial-scale culture. Whole-genome sequencing of HY7207 revealed that the genome was 2.88 Mbp long, with 46.43% GC contents and 2778 predicted protein-coding DNA sequences (CDSs). HY7207 reduced the expression of lipogenesis and hepatic apoptosis-related genes in HepG2 cells treated with palmitic acid. Furthermore, the administration of 109 CFU/kg/day of HY7207 for 8 weeks to mice fed an NAFLD-inducing diet improved their physiologic and serum biochemical parameters and ameliorated their hepatic steatosis. In addition, HY7207 reduced the hepatic expression of genes important for lipogenesis (Srebp1c, Fasn, C/ebpa, Pparg, and Acaca), inflammation (Tnf, Il1b, and Ccl2), and fibrosis (Col1a1, Tgfb1, and Timp1). Finally, HY7207 affected the expression of the apoptosis-related genes Bax (encoding Bcl2 associated X, an apoptosis regulator) and Bcl2 (encoding B-cell lymphoma protein 2) in the liver. These data suggest that HY7207 consumption ameliorates NAFLD in mice through effects on liver steatosis, inflammation, fibrosis, and hepatic apoptosis. Thus, L. paracasei HY7207 may be suitable for use as a functional food supplement for patients with NAFLD.
Antibacterial and Antitumoral Potentials of Phytosynthesized Silver/Silver Oxide Nanoparticles Using Tomato Flower Waste
Authors: Marcu Spinu Simona , Dragoi Cudalbeanu Mihaela , Avram Ionela , Fierascu Radu Claudiu , Rosu Petronela Mihaela , Morosanu Ana-Maria , Cimpeanu Carmen Laura , Babeanu Narcisa , Ortan Alina
Published: September 2024

This study presents the phytosynthesis of silver-based nanoparticles using tomato flower waste extracts for the first time in the literature. The determination of total polyphenolic and flavonoid contents in the extracts showed high gallic acid equivalents (6436–8802 mg GAE/kg dm) and high quercetin equivalents (378–633 mg QE/kg dm), respectively, dependent on the extraction method. By the Ultra Performance Liquid Chromatography technique, 14 polyphenolic compounds were identified and quantified in the tomato flower waste extracts. The abundant phenolic compounds were caffeic acid (36,902–32,217 mg/kg) and chlorogenic acid (1640–1728 mg/kg), and the abundant flavonoid compounds were catechin (292–251 mg/kg) and luteolin (246–108 mg/kg). Transmission electron microscopy of the nanoparticles revealed a particle size range of 14–40 nm. Fourier Transform infrared spectroscopy and X-ray diffraction studies confirmed the phytosynthesis of the silver/silver oxide nanoparticles. These findings hold significant results for the antibacterial and antitumoral potential applications of the obtained nanoparticles, opening new areas for research and development and inspiring further exploration. The impact of this research on the field of metallic nanoparticle phytosynthesis is substantial, as it introduces a novel approach and could lead to significant advancements in the field.
An Efficient Autonomous Exploration Framework for Unmanned Surface Vehicles in Unknown Waters
Authors: Song Baojian , Zhang Jiahao , Han Xinjie , Fan Yunsheng , Sun Zhe , Wang Yingjie
Published: September 2024

The detection of unknown waters has been studied and applied in various fields, such as national defense, military operations, engineering surveying and mapping, and scene reconstruction. To improve exploration efficiency in unknown waters, this paper proposes a framework for autonomous exploration using unmanned surface vehicles (USVs). This framework, comprising a multi-stage exploration strategy and a hierarchical navigation strategy, is designed to mitigate the inherent restrictions between the exploration target point and exploration direction in USV operations. These two strategies are optimized for the exploration target point and feasible navigation route to address the problem of the USV’s limited mobility during exploration. Rapidly exploring random tree (RRT) and boundary detection methods are used in the local layer to find the boundary in front of and behind the USV, and the gain of the target point is optimized. The hierarchical navigation method is implemented in the global layer to plan appropriate navigation paths. The proposed method is tested in simulations in several virtual environments and contrasted with the conventional methods currently in use. The findings indicate that our strategy covers more ground more effectively than other methods (our method achieved an exploration efficiency ranging from 4.9 to 5.3 m2/s, whereas traditional methods ranged from 2.3 to 3.9 m2/s, which demonstrates that our approach can improve exploration efficiency by up to 200% compared to traditional methods), spending less time exploring while significantly reducing collision probability.
Numerical Simulation and On-Site Measurement of Dynamic Response of Flexible Marine Aquaculture Cages
Authors: Zhang Xiaoying , Fu Fei , Guo Jun , Qin Hao , Sun Qian , Hu Zhe
Published: September 2024

Flexible cages are widely used in marine aquaculture, yet their mechanical features in extreme seas are still unclear. This study proposes a numerical algorithm to solve the coupled response of the multiple cage systems. The net and mooring lines are modeled using the lumped-mass model, while the flexible floating collar system is assessed with the large-deformation FEM model, and the two models are coupled through an iterative scheme. Sea trials are conducted, and the motion of the cage is obtained using an image processing technique, which validates the numerical algorithm. Using the proposed numerical algorithm, a series of simulations are performed to investigate the response of flexible cages in extreme seas. Motions, line tensions, and structural sectional forces are studied, and the effects of factors such as the wavelength of incident waves and the diameter of collar pipes are investigated.
Modeling Rip Current Systems around Multiple Submerged Breakwaters
Authors: Xu Jie , Wang Yuchuan , Mu Baoying , Du Huan , Li Yanlei , You Zaijin , Yan Sheng , Lu Lixin
Published: September 2024

Multiple submerged breakwaters (MSBWs) are commonly used coastal protection structures due to their specific advantages over the emerged ones. Rip currents, as the inevitable natural hazard in the gaps of these constructions, are investigated numerically in the present study. A fully nonlinear mild-slope equation (NMSE) model possessing both fully nonlinear and fully dispersive properties is validated and adopted in the simulations. With four monochromatic wave conditions of different wave heights, periods and incidences representing low-energy, typical, storm and oblique waves tested, the flow patterns and the low-frequency oscillations of the rip currents are studied. For the convenience of risk assessment, the rip risk level is divided into three degrees according to the maximum rip flow speed. The effects of the configurations of the MSBWs on the rip current system as well as the rip risk level are examined, considering different breakwater widths, heights, forms, gap widths and gap numbers. Simulation results suggest that the cross-shore configurations of MSBWs influence the rip risk level by inducing different wave energy dissipations but the longshore configurations of MSBWs by changing flow field patterns.