bluuebunny/crossref_metadata_2025 huggingface dataset:
Shifting Sands: Examining and Mapping the Population Structure of Greece Through the Last Three Censuses
Authors: Kalogeropoulos Kleomenis , Fragkopoulos Dionysios , Andreopoulos Panagiotis , Tragaki Alexandra
Published: October 2024

This paper aims to facilitate a more nuanced understanding of regional disparities in the population age structure at a local scale by applying a recent method for visualizing these disparities. Utilizing data from the three most recent population censuses in Greece, this method applies advanced data visualization techniques to map age distributions, highlighting significant variations in aging patterns across municipalities, towns, and districts. Traditional demographic analysis often overlooks local heterogeneities, leading to broad policies that often fail to address the unique needs of specific regions. Detailed maps are created by integrating geographic data with census data (using R and GIS), enabling policymakers to pinpoint areas with specific demographic challenges and opportunities. This localized approach reveals critical insights, such as regions experiencing rapid population aging, areas with younger population profiles, and zones undergoing demographic transitions. The visualization tool significantly improves the formulation of targeted strategies, enhancing the effectiveness of policies related to healthcare, workforce planning, and social services distribution. Through case studies and comparative analysis, we demonstrate the practical applications and advantages of this method in shaping public policy and strategic planning. This paper contributes to the field of geodemography by introducing and demonstrating a visualization method that enhances the accuracy of demographic analysis, providing policy makers with useful information to better address local demographic challenges and tailor strategies to specific regional needs.
Analysis of Exchange Rate Stability on the Economic Growth Process of a Developing Country: The Case of South Africa from 2000 to 2023
Authors: Chikwira Collin , Jahed Mohammed Iqbal
Published: October 2024

This study examines the impact of exchange rate stability on the economic growth of South Africa from 2000 to 2023, a period characterised by significant political and economic changes. Exchange rate stability is critical for developing countries, affecting key macroeconomic variables such as trade balances, foreign direct investment (FDI), and inflation. For emerging economies like South Africa, maintaining a stable exchange rate can reduce uncertainty in international transactions, foster investor confidence, and support sustainable economic development. This research explores whether consistent exchange rate management has positively influenced South Africa’s economic trajectory, particularly by mitigating the adverse effects of global shocks and domestic volatility. Using the EasyData online database, which contains yearly time series data, the method of analysis adopted by the research is the ordinary least squares (OLS) regression method. The findings show that while exchange rate stability positively impacts GDP, the influence of FDI and political risk is more substantial. These results underscore the importance of fostering a stable economic environment through sound exchange rate policies, political stability, and efforts to attract foreign investments to ensure long-term economic growth.
Roles of Psychological Flexibility, Parenting Competence, and Asthma Management Self-Efficacy in the Functioning Outcomes of Parents of Children with Asthma Co-Occurring with Attention-Deficit/Hyperactivity Disorder
Authors: Chong Yuen Yu , Yau Pui Tik , Kwan Joycelyn Yee Man , Chien Wai Tong
Published: October 2024

Asthma and ADHD represent prevalent pediatric conditions, with the former being a physical disorder and the latter being a neurodevelopmental disorder. This study examined the influence of parental psychological flexibility (PF)—the ability to adapt to evolving situational demands, shift perspectives, and balance competing priorities—alongside parenting competence and asthma management self-efficacy on family functioning and parental psychological adjustment in families with children exhibiting concurrent asthma and ADHD symptoms. Baseline data were analyzed from 130 parents (mean age = 40.3 years, SD = 5.5; 88.9% mothers) of children diagnosed with both asthma and ADHD (mean age = 8.0 years, SD = 2.2; 74.6% boys), who were participating in a randomized controlled trial evaluating an Acceptance and Commitment Therapy (ACT)-based parenting intervention. An adjusted structural equation model revealed that greater parental psychological inflexibility was significantly associated with poorer family functioning (β = −0.61, 95% CI [−0.74, −0.33], p < 0.001) and increased psychological maladjustment (β = 0.48, 95% CI [0.32, 0.63], p < 0.001), accounting for intercorrelations with parenting competence and parental asthma management self-efficacy. Additionally, parental psychological flexibility was found to mediate the relationship between parenting competence and both family functioning and psychological adjustment. These findings underscore the importance of targeting parental psychological inflexibility and enhancing parenting competence in interventions to improve family dynamics and parental mental health and thereby suggest a shift from the traditional focus on self-efficacy in symptom management for pediatric asthma and ADHD.
Application of Discrete Variable-Gain-Based Self-Immunity Control to Flywheel Energy Storage Systems
Authors: Sun Jian , Yin Pengju , Song Xiangliu
Published: October 2024

For the study of the trade-off between steady-state error and transient response in control systems for flywheel energy storage, a controller with a discrete variable gain is proposed. This controller aims to adapt to changes in the system state by dynamically adjusting the controller gain to optimize the system’s anti-disturbance performance. Theoretical analysis and mathematical derivation demonstrate that increasing the observer gain can significantly enhance the system’s anti-disturbance capability. However, this increase also results in overshooting, which highlights the limitations of traditional control methods in achieving both system stability and anti-disturbance performance. A discrete variable-gain extended state observer is designed. The gain of this observer can be adaptively adjusted according to a system state value, enabling the effective control of both steady-state error and transient response. Additionally, the stability of the proposed control method was analyzed and verified, ensuring its effectiveness and reliability for practical applications. Finally, the effectiveness of the proposed method in improving system performance is demonstrated by simulation results.
Comparison of the Reaction Characteristics of Different Fuels in the Supercritical Multicomponent Thermal Fluid Generation Process
Authors: Fu Qiang , Tian Jie , Liu Yongfei , Qi Zhilin , Jiao Hongmei , Yang Shenyao
Published: October 2024

Supercritical multicomponent thermal fluid technology is a new technology with obvious advantages in offshore heavy oil recovery. However, there is currently insufficient understanding of the generation characteristics of the supercritical multicomponent thermal fluid, which is not conducive to the promotion and application of this technology. In order to improve the economic benefits and applicability of the supercritical multicomponent thermal fluid thermal recovery technology, this article reports on indoor supercritical multicomponent thermal fluid generation experiments and compares the reaction characteristics of different fuels in the supercritical multicomponent thermal fluid generation process. The research results indicate that the main components of the products obtained from the supercritical water–crude oil/diesel reaction are similar. Compared to the supercritical water–crude oil reaction, the total enthalpy value of the supercritical multicomponent thermal fluid generated by the supercritical water–diesel reaction is higher, and the specific enthalpy is lower. When the thermal efficiency of the boiler is the same, the energy equilibrium concentration of crude oil is lower than that of diesel. The feasibility of using crude oil instead of diesel to prepare supercritical multicomponent thermal fluids is analyzed from three aspects: reaction mechanism, economic benefits, and technical conditions. It is believed that using crude oil instead of diesel to prepare supercritical multicomponent thermal fluids has good feasibility.
Dynamic Adaptive Charging Network Planning Under Deep Uncertainties
Authors: Saqib Ehsan , Gidófalvi Gyozo
Published: October 2024

Charging infrastructure is the backbone of electromobility. Due to new charging behaviors and power distribution and charging space constraints, the energy demand and supply patterns of electromobility and the locations of current refueling stations are misaligned. Infrastructure developers (charging point operators, fleet operators, grid operators, vehicle manufacturers, and real-estate developers) need new methodologies and tools that help reduce the cost and risk of investments. To this extent we propose a transport-energy-demand-centric, dynamic adaptive planning approach and a data-driven Spatial Decision Support System (SDSS). In the SDSS, with the help of a realistic digital twin of an electrified road transport system, infrastructure developers can quickly and accurately estimate key performance measures (e.g., charging demand, Battery Electric Vehicle (BEV) enablement) of a candidate charging location or a network of locations under user-specified transport electrification scenarios and constraints and interactively and continuously calibrate and/or expand their network plans as facts about the deep uncertainties about the supply side of transport electrification (i.e., access to grid capacity and real-estate and presence of competition) are gradually discovered/observed. This paper describes the components and the planning support of the SDSS and how these can be used in competitive and collaborative settings. Qualitative user evaluations of the SDSS with 33 stakeholder organizations in commercial discussions and pilots have shown that both transport-energy-demand-centric and dynamic adaptive planning of charging infrastructure planning are useful.
Design and Optimization of a Permanent Magnet Synchronous Motor for a Two-Dimensional Piston Electro-Hydraulic Pump
Authors: Qiu Xinguo , Wang Zhili , Li Changlong , Shen Tong , Zheng Ying , Wang Chen
Published: October 2024

A two-dimensional (2D) piston electro-hydraulic pump has been proposed further to enhance the power density of the electro-hydraulic pump. The 2D piston pump, characterized by high power density and a slender shape, is embedded within the stator of the motor in a co-rotor configuration where the piston and the motor’s rotor are in tandem. The intimate design of the hydraulic pump and the motor results in a coupling between the two, with intricate relationships and influences existing between the geometric parameters of the piston pump and the dimensions of the motor’s rotor. Based on the operational requirements and structure of the 2D piston pump, a permanent magnet synchronous motor (PMSM) designed for use with a 2D piston electro-hydraulic pump is developed. This study examines the impact of the motor’s stator iron core geometric parameters on both the electromagnetic and mechanical properties of a PMSM and completes the necessary performance validations. The optimization objectives of the motor are determined through an analysis of the influence of the key parameters of the rotor and stator on torque, torque ripple, and motor loss. A surrogate optimization model is constructed using a metamodel of optimal prognosis (MOP) to optimize the torque, torque ripple, and motor loss. Evolutionary genetic algorithms are utilized to achieve the multi-objective optimization design. A finite element simulation is used to compare the electromagnetic performance of the initial motor and optimal motor. Based on the optimal motor parameters, a 2.5 kW motor prototype is manufactured, and the experimental results validate the feasibility and effectiveness of the motor design and optimization.
Multi-Objective Optimization of a Small-Scale ORC-VCC System Using Low-GWP Refrigerants
Authors: Witanowski Łukasz
Published: October 2024

The increasing global demand for energy-efficient cooling systems, combined with the need to reduce greenhouse gas emissions, has led to growing interest in using low-GWP (global warming potential) refrigerants. This study conducts a multi-objective optimization of a small-scale organic Rankine cycle–vapor compression cycle (ORC-VCC) system, utilizing refrigerants R1233zd, R1244yd, and R1336mzz, both individually and in combination within ORC and VCC systems. The optimization was performed for nine distinct cases, with the goals of maximizing the coefficient of performance (COP), maximizing cooling power, and minimizing the pressure ratio in the compressor to enhance efficiency, cooling capacity, and mechanical reliability. The optimization employed the Non-dominated Sorting Genetic Algorithm III (NSGA-III), a robust multi-objective optimization technique that is well-suited for exploring complex, non-linear solution spaces. This approach effectively navigated trade-offs between competing objectives and identified optimal system configurations. Using this multi-objective approach, the system achieved a COP of 0.57, a pressure ratio around 3, and a cooling capacity exceeding 33 kW under the specified boundary conditions, leading to improved mechanical reliability, system simplicity, and longevity. Additionally, the system was optimized for operation with a cooling water temperature of 25 °C, reflecting realistic conditions for contemporary cooling applications.
Investigating Intelligent Forecasting and Optimization in Electrical Power Systems: A Comprehensive Review of Techniques and Applications
Authors: Sharifhosseini Seyed Mohammad , Niknam Taher , Taabodi Mohammad Hossein , Aghajari Habib Asadi , Sheybani Ehsan , Javidi Giti , Pourbehzadi Motahareh
Published: October 2024

Electrical power systems are the lifeblood of modern civilization, providing the essential energy infrastructure that powers our homes, industries, and technologies. As our world increasingly relies on electricity, and modern power systems incorporate renewable energy sources, the challenges have become more complex, necessitating advanced forecasting and optimization to ensure effective operation and sustainability. This review paper provides a comprehensive overview of electrical power systems and delves into the crucial roles that forecasting and optimization play in ensuring future sustainability. The paper examines various forecasting methodologies from traditional statistical approaches to advanced machine learning techniques, and it explores the challenges and importance of renewable energy forecasting. Additionally, the paper offers an in-depth look at various optimization problems in power systems including economic dispatch, unit commitment, optimal power flow, and network reconfiguration. Classical optimization methods and newer approaches such as meta-heuristic algorithms and artificial intelligence-based techniques are discussed. Furthermore, the review paper examines the integration of forecasting and optimization, demonstrating how accurate forecasts can enhance the effectiveness of optimization algorithms. This review serves as a reference for electrical engineers developing sophisticated forecasting and optimization techniques, leading to changing consumer behaviors, addressing environmental concerns, and ensuring a reliable, efficient, and sustainable energy future.
Long-Term Optimal Scheduling of Hydro-Photovoltaic Hybrid Systems Considering Short-Term Operation Performance
Authors: Yuan Wenlin , Sun Zhangchi
Published: October 2024

Integrating photovoltaic power stations into large-capacity hydropower stations is an efficient and promising method for regulating large-scale photovoltaic power generation. However, constrained by the time step length, traditional long-term scheduling of hydro-PV hybrid systems does not adequately consider short-term operational performance indicators, resulting in sub-optimal scheduling plans that fail to coordinate the consumption of photovoltaic power and the utilization of water resources in the basin. To address this, this study established a long-term optimal scheduling model for hydro-PV hybrid systems. This model overcomes the limitation of the time step length in long-term scheduling by incorporating long-term power generation goals and short-term operation performance targets into the long-term optimal scheduling process based on scheduling auxiliary functions. In case studies, the optimised model balanced the long-term power-generation goals and short-term operational performance targets by redistributing energy across different periods. Compared to optimization models that did not consider short-term operation performance, in a typical normal year, the model effectively reduced the electricity curtailment volume (28.54%) and power shortage volume (10.91%) of the hybrid system while increasing on-grid electricity (0.03%). Similar improvements were observed in wet and dry years. These findings provide decision support for hydropower scheduling in the context of large-scale photovoltaic power integration.
Reviewing Digestate Thermal Valorization: Focusing on the Energy Demand and the Treatment of Process Water
Authors: Abdelfatah-Aldayyat Ebtihal , González-Rojo Silvia , Gómez Xiomar
Published: October 2024

Anaerobic digestion is a feasible solution for the treatment of organic wastes. The process can reduce the amount of biowaste by stabilizing the organic material and producing biogas susceptible to energetic valorization. However, the digestate needs further valorization when land application is considered unfeasible. Thermal treatments, such as gasification, pyrolysis, and hydrothermal carbonization, are alternatives capable of transforming this material into valuable syngas, obtaining, in many cases, a carbonized stream known as biochar. The feasibility of the process depends on the energy demand for the drying stage and the treatments available for removing contaminants from the syngas, attaining high-quality products, and treating the process-derived water. In the present manuscript, these critical aspects were reviewed considering the characteristics of digestates based on their origin, the modifications of this material during anaerobic digestion, and the way digestate structure affects the final thermal valorization outcome. Emphasis was placed on the energy demand of the global approach and byproduct treatments.
Multi-Omics Analysis of Exogenous Potassium (K+)’s Role in Alleviating Trehalose Effects Under NaCl Stress in Tamarix ramosissima
Authors: Chen Yahui , Zhang Shiyang , Zhang Min , Sui Dezong , Jiang Jiang , Wang Lei
Published: October 2024

Salt stress significantly impacts plant growth, and Tamarix ramosissima Ledeb is utilized for afforestation in China’s saline–alkali regions. Trehalose, an osmoregulatory compound, enhances plant tolerance to salt stress by stabilizing cell membranes and regulating oxidative states and ion distribution. However, its role in mitigating NaCl-induced damage in Tamarix species remains understudied. In this study, root samples of T. ramosissima were exposed to NaCl stress with exogenous K+ at 0 h, 48 h, and 168 h. Analyses revealed that soluble sugar content increased over time, especially in the 200 mM NaCl + 10 mM KCl treatment at 168 h. Transcriptome sequencing identified 19 trehalose-related genes involved in metabolic and sucrose pathways, with Unigene0015746 notably enhancing D-Glucose 6-phosphate accumulation, a key precursor for trehalose synthesis. This gene emerged as a crucial candidate for further research. The transcriptome data were validated using qRT-PCR. Overall, the study elucidates the molecular mechanisms of trehalose-related genes in T. ramosissima under salt stress with exogenous K+, providing valuable genetic resources for breeding salt-tolerant tree species.
Bamboo Forests: Unleashing the Potential for Carbon Abatement and Local Income Improvements
Authors: Xu Jiaming , Tan Shen , Wang Han , Zhang Xin , Hong Yifeng
Published: October 2024

Bamboo forests exhibit a unique efficient growth pattern that makes them invaluable in reducing atmospheric CO2 levels. Additionally, bamboo forests offer a diverse range of products, thus holding the potential to bolster local income. Despite these benefits, the comprehensive assessment of bamboo forests’ potential in both carbon abatement and improving local income enhancement has been hindered by the absence of a detailed bamboo biomass map. In this study, we address this gap by amalgamating a bamboo aboveground biomass (AGB) map covering three prominent producing provinces in southern China, utilizing multi-source remote sensing datasets. The results not only demonstrate a satisfactory consistency with China’s Ninth National Forest Inventory but also provide a more detailed spatial distribution. Based on this AGB estimation, we project an approximately threefold potential increase in annual bamboo culm harvest from existing bamboo forests. This represents a significant opportunity for expanding carbon abatement efforts, elevating local income levels, and facilitating the production of bamboo-derived biofuels. Furthermore, the adoption of an optimized management strategy has the potential to further enhance bamboo production. This study generates the first high-resolution bamboo AGB map and underscores the substantial potential of China’s bamboo forests in contributing to carbon sequestration and improving local income. The favorable income generated for local residents can serve as a compelling incentive for the implementation of sustainable forest management practices, offering a promising pathway toward achieving carbon-related objectives within the forestry sector and providing necessary support for forestry designation projects.
Factors Associated with Dietary Diversity in Community-Dwelling Brazilian Older Adults
Authors: Corona Ligiana Pires , Silva Graziele Maria , Freiria Carolina Neves
Published: October 2024

Background: Older populations are at high risk of nutritional inadequacy and monotonous diets, and assessing dietary diversity can be a practical measure to indicate groups at nutritional risk. We aimed to explore the dietary diversity of older adults enrolled in primary health care services in Brazil and to evaluate its associated factors. Methodology: In this cross-sectional study, we evaluated the dietary diversity score (DDS) of 581 participants (≥60 years) registered in primary care services. All foods mentioned in a 24 h food recall were classified into 10 groups, and factors associated with the DDS were analyzed using hierarchical linear regression models in two blocks: (1) sociodemographic and (2) health conditions and lifestyle. Results: The mean DDS was 5.07 (±1.34), and 67.5% of the sample reached the minimum dietary diversity (≥5 groups). In the final model, income, previous diagnosis of cancer, and sporadic intake of alcohol were positively associated with DDS. In contrast, cognitive decline, sedentary lifestyle, and anorexia of aging were negatively associated with DDS. Conclusions: These findings show that the entire structural, economic, and social system needs to facilitate access to quality food, adequate places and conditions for the practice of physical activity, and policies regarding tobacco and alcohol abuse, in addition to nutritional guidance.
Content of Selected Harmful Metals (Zn, Pb, Cd) and Polycyclic Aromatic Hydrocarbons (PAHs) in Honeys from Apiaries Located in Urbanized Areas
Authors: Wilczyńska Aleksandra , Żak Natalia , Stasiuk Ewa
Published: October 2024

The chemical composition of honey, and therefore its quality and properties, is influenced by many factors, including its botanical origin and the harvesting conditions—the location of the apiary, access to melliferous plants, the proximity of industrial infrastructure and communication routes, etc. This quality may be reduced by undesirable, toxic compounds that penetrate honey from a contaminated environment, such as heavy metals and residues from other environmental pollutants. Therefore, the aim of our research was to assess the quality of honeys from urbanized areas—in particular, to assess contamination with heavy metals and persistent organic pollutants (PAHs). In total, 35 samples from six different apiaries located in urbanized areas were examined. The content of heavy metals (Cd, Pb, Zn) was determined by atomic absorption spectrophotometry (AAS), and the content of total PAHs as the sum of the concentrations of the compounds benzo(a)anthracene, chrysene, benzo(b)fluoranthene and benzo(a)pyrene was determined by high-performance liquid chromatography with fluorescence detection (HPLC-FLD). The average zinc content ranged from about 2 to 4.5 mg/kg, the average lead content ranged from 3.5 µg/kg to 388 µg/kg and the average cadmium content ranged from 0.5 to 14 µg/kg. It was found that all honeys contained certain amounts of harmful metals, and only lead exceeded the permissible limits. None of the samples tested contained sum content of PAHs exceeding 10 µg/kg of honey. Contrary to our expectations, the results obtained indicate that honeys from urbanized areas do not contain these harmful substances. In general, the presence of harmful metals does not, however, reduce honey’s quality or its health value.
Influence of Gradient Milling on Cooking and Sensory Attributes of Chinese Black Rice: Insights into Volatile Flavor Compounds
Authors: Ye Shuxin , Gao Qing , Shi Danxia , Zongo Abel Wend-Soo , He Jinsong , Li Bin
Published: October 2024

This study investigated the impact of gradient milling on the cooking properties and sensory characteristics of Yangxian black rice. The results showed that as the degree of milling increased, the gelatinization time decreased (36.85–23.54 min) and the water uptake ratio of whole black rice (188.29%) was significantly lower compared to that of refined grains (194.05%). Low-field nuclear magnetic resonance (NMR) was further used to monitor the water concentration and distribution of black rice during soaking and cooking. It was found that the bran layers of black rice, as a physical barrier, impeded the water penetration into the kernels for a given soaking and cooking duration. The sensory evaluation conducted by a panel of trained volunteers demonstrated a high score for all sensory attributes in slightly milled black rice, corroborating findings from the taste analyzer. Through correlation analysis of volatile components determined by gas chromatography-mass spectrometry (GC-MS), smell scores in sensory evaluation, and electronic nose response values, 2-pentyl-furan (54.84–12.72 ng/g) and guaiacol (19.39–5.51 ng/g) were found to be the predominant volatile flavor contributors in cooked black rice. Overall, this study provides valuable insight into the intricate relationship between milling degrees and the cooking properties, sensory characteristics, and volatile flavor compounds of Yangxian black rice.
Ready-to-Cook Foods: Technological Developments and Future Trends—A Systematic Review
Authors: Cui Tianqi , Gine Goh Rui , Lei Yuqin , Shi Zhiling , Jiang Beichen , Yan Yifan , Zhang Hongchao
Published: October 2024

Ready-to-cook (RTC) foods can significantly improve the cooking experience of busy or unskillful consumers, based on production involving technical combinations of food processing and packaging. Initialized by a market survey of 172 products in Beijing, this systematic review analyzes RTC foods’ development status according to ingredients, packaging, and storage conditions to further clarify the scope of RTC foods. The working principles and efficacy of various food processing techniques, such as washing, cutting, marinating, and frying, and packaging design or innovations such as modified atmosphere packaging (MAP) were both summarized in detail, with attention to their ability to extend shelf life, reduce safety risks, and maximize production efficiency in RTC food production. The cutting-edge technologies that may potentially apply in the RTC food processing or packaging sector were compared with current approaches to visualize the direction of future developments. In conclusion, we have observed the specific pattern of RTC food varieties and packaging formats in the Beijing market and revealed the advancements in RTC food technologies that will continue playing a critical role in shaping this growing market, while challenges in scalability, cost-efficiency, and sustainability remain key areas for future research. The data and perspectives presented will articulate the conceptions and existing challenges of RTC food, foster consumer perception and recognition of similar products, and deliver useful guidance for stakeholders interested in such products.
Fermentative Characteristics and Metabolic Profiles of Japanese Apricot Juice Fermented with Lactobacillus acidophilus and Torulaspora delbrueckii
Authors: Papun Benjawan , Wongputtisin Pairote , Kanpiengjai Apinun , Pisithkul Tippapha , Manochai Phayungsak , Manowan Kamonwan , Atsaneechantra Anong , Chomsri Ni-orn
Published: October 2024

Functional fermented fruit juices produced using a combination of non-Saccharomyces yeast and lactic acid bacteria (LAB) are relatively unexplored. The effects of three inoculation protocols, single inoculation with Lactobacillus acidophilus (La), single inoculation with Torulaspora delbrueckii (Td), and co-culture of both La + Td, on the physicochemical, microbiological, sensory properties, and metabolic profile of fermented JA juices after 24 h at 30 °C were investigated. Uninoculated (UI) Japanese apricot (JA) juice was used as a control. The results show significant increases in the color intensity of the fermented-JA juices, whereas an enhancement of total phenolic contents is observed in the fermented JA-juices acquired through the use of La for both single and co-culture inoculations. The colony counts of LAB and yeast in the inoculated JA juices increased by approximately 2.0 and 1.7 log CFU/mL at 24 h, respectively. The antibacterial activity of JA juices against four pathogenic bacteria was detected. All JA juices exhibited antimicrobial activity against the tested pathogenic strains, with strong antibacterial properties of La-fermented juice being recorded against Bacillus cereus at the lowest MIC of 124 µL/mL. Additionally, La + Td-fermented and UI-JA juices demonstrated comparable anticancer activity against HT-29 cells with IC50 values of 823.37 and 754.87 µg/mL, respectively. Furthermore, a total of 995 compounds was identified as differential fermentation metabolites through non-targeted metabolome analysis across different fermentation groups. These findings illustrate the significant potential of using JA juice for La and Td fermentation to develop functional juices.
Effect of Radio Frequency Energy for Intervention Processing on the Quality of Intact Eggs
Authors: Bermudez-Aguirre Daniela , Sites Joseph , Carter Joshua , Uknalis Joseph , Niemira Brendan A.
Published: October 2024

During conventional pasteurization, eggs are submerged for 60 min at 56.7 °C, a lengthy and costly process that affects egg quality. Radio frequency (RF), a means to pasteurize eggs without affecting quality, is a novel option based on fast volumetric heating; however, there is scarce information about the quality of such treated food. This research consisted in a comprehensive quality study on eggs treated with RF. The RF system was operated at 40.68 MHz, 40 W and 16 W (8 min total), and 42 rpm. The quality assessment included the determination of Haugh unit, yolk index, compression strength, albumen turbidity, albumen and yolk pH, and yolk color. Additional analyses were conducted to quantify the mineral composition of the eggshell (40.68 MHz, 40 W, 42 rpm, 5.5, 8.5, and 10 min); these samples were observed by SEM. The results showed that RF did not significantly (p > 0.05) change any quality parameters. The mineral composition remained constant in processed eggs. The SEM images of RF-treated eggs showed some smooth spots; however, these areas could exist due to the high variability of the eggshells. RF is an option to process intact eggs, maintaining their fresh quality and keeping the integrity of the eggshell to ensure the food safety of the internal egg components.
Fermentation Performance of Carob Flour, Proso Millet Flour and Bran for Gluten-Free Flat-Bread
Authors: Voučko Bojana , Čukelj Mustač Nikolina , Nanjara Ljiljana , Drakula Saša , Grgić Tomislava , Ćurić Duška , Novotni Dubravka
Published: October 2024

Sourdough fermentation is rarely used for gluten-free flatbread (GFFB), a product that is challenging to produce, especially when using high-fiber ingredients that bring nutritional benefits but lead to physical deterioration. The aim of this study was therefore to evaluate the fermentation performance of carob flour (CSPF), proso millet flour (PMF), and proso millet bran (PMB) individually and in combination with Limosilactobacillus fermentum and Kluyveromyces marxianus (LF + KM) and to compare the performance of LF + KM with a commercial starter (LIVENDO® LV1). A mixture design (n = 13) was used to evaluate the fermentation performance of LF + KM (total titratable acidity (TTA); lactobacilli and yeast growth; acetic and lactic acid, fructose, glucose, and saccharose content) at 35 °C for 16 h. The comparison of LF + KM with LV1 fermentation was based on the acidity rate, fermentation quotient, TTA, and finally by determining the physical properties (texture, shape, color) of a rice–corn GFFB in which 10% of flour was supplemented with the sourdoughs. PMB promoted the growth of lactobacilli and the production of organic acids, especially in combination of CSPF and PMF. The optimum flour ratio was 2.4:1:1.2 (PMB:PMF:CSPF). LF + KM shortened the sourdough fermentation time by 2.5 times compared to LV1. The use of LF + KM sourdough reduced the hardness (32%) and chewiness (28%) of the GFFB, while the volume (35%) was increased compared to LV1 sourdough. This study shows the potential of using local alternative flours in sourdough fermentation for the production of GFFB.
Marine-Derived Fucose-Containing Carbohydrates: Review of Sources, Structure, and Beneficial Effects on Gastrointestinal Health
Authors: Ren Xinmiao , Cai Shenyuan , Zhong Yiling , Tang Luying , Xiao Mengshi , Li Shuang , Zhu Changliang , Li Dongyu , Mou Haijin , Fu Xiaodan
Published: October 2024

Fucose, fucose-containing oligosaccharides, and fucose-containing polysaccharides have been widely applied in the fields of food and medicine, including applications in Helicobacter pylori eradication and renal function protection. Fucose-containing carbohydrates (FCCs) derived from marine organisms such as seaweed, invertebrates, microalgae, fungi, and bacteria have garnered growing attention due to their diverse bioactivities and potential therapeutic applications. Marine-derived FCCs characterized by high fucose residue content and extensive sulfate substitution, including fucoidan, fucosylated chondroitin sulfate, and fucose-rich microbial exopolysaccharides, have demonstrated significant potential in promoting gastrointestinal health. This review describes the unique structural features of FCCs and summarizes their health benefits, including regulation of gut microbiota, modulation of microbial metabolism, anti-adhesion activities against H. pylori and gut pathogens, protection against inflammatory injuries, and anti-tumor activities. Additionally, this review discusses the structural characteristics that influence the functional properties and the limitations related to the activity research and preparation processes of FCCs, providing a balanced perspective on the application potential and challenges of FCCs with specific structures for the regulation of gastrointestinal health and diseases.
Uncovering the Potential Somatic Angiotensin-Converting Enzyme (sACE) Inhibitory Capacity of Peptides from Acheta domesticus: Insights from In Vitro Gastrointestinal Digestion
Authors: Teixeira Carla S. S. , Carriço-Sá Bruno , Villa Caterina , Costa Joana , Mafra Isabel , Ferreira Isabel M. P. L. V. O. , Faria Miguel A. , Tavares Tânia G.
Published: October 2024

Entomophagy is being proposed as a sustainable and nutritious alternative protein source. Additionally, insect consumption is also associated with some health benefits mediated by bioactive compounds produced during gastrointestinal (GI) digestion. The antihypertensive property resulting from the inhibition of the somatic angiotensin-converting enzyme (sACE) by small peptides is one of the most common bioactivities related to insect consumption. This study aimed to investigate the potential sACE-inhibitory capacity of six peptides (AVQPCF, CAIAW, IIIGW, QIVW, PIVCF, and DVW), previously identified by the in silico GI digestion of Acheta domesticus proteins, validate their formation after in vitro GI digestion of A. domesticus by LC-MS/MS, and assess the bioactivity of the bioaccessible digesta. The results showed that the IC50 values of AVQPCF, PIVCF, and CAIAW on sACE were 3.69 ± 0.25, 4.63 ± 0.16, and 6.55 ± 0.52 μM, respectively. The obtained digesta demonstrated a sACE-inhibitory capacity of 77.1 ± 11.8 µg protein/mL extract (IC50). This is the first report of the sACE-inhibitory capacity attributed to whole A. domesticus subjected to GI digestion without any pre-treatment or protein concentration. This evidence highlights the potential antihypertensive effect of both the digesta and the identified peptides.
Monitoring Meat Freshness with Intelligent Colorimetric Labels Containing Red Cabbage Anthocyanins Copigmented with Gelatin and Gallic Acid
Authors: Kwak Minyoung , Min Sea C.
Published: October 2024

Polyvinyl alcohol (PVA)-based pH-responsive color indicators were developed using red cabbage anthocyanin (Anth) copigmented with gelatin and gallic acid (GA). The indicator prepared with gelatin and GA (GA/gelatin/Anth/PVA) was highly resistant to light exposure. GA/gelatin/Anth/PVA exhibited distinct color changes in pH 2–11 buffer solutions and stable color indication in acidic and neutral solid systems (pH 2 and 7) at 97% relative humidity. GA/gelatin/Anth/PVA exhibited the highest sensitivity to dimethylamine, followed by ammonia and trimethylamine. The addition of gelatin and GA facilitated hydrogen bonding, which enhanced thermal stability and water solubility without compromising tensile properties. A color change from purple to blue signaled spoilage when total volatile basic nitrogen values for beef and squid reached 21.0 and 37.8 mg/100 g, respectively. The GA/gelatin/Anth/PVA indicator shows potential for indicating the freshness of raw beef.
Simulation Analysis of 3-D Airflow and Temperature Uniformity of Paddy in a Laboratory Drying Oven
Authors: Wang Changzhi , Pei Yongsheng , Mu Zhongqiu , Fan Lin , Kong Jian , Tian Guizhong , Miao Shiyuan , Meng Xiangyi , Qiu Hai
Published: October 2024

This study analyzed the effects of airflow characteristics on the temperature distribution and drying uniformity of paddy during convective drying. Simulations of the drying process with varying airflow inlet and outlet positions were conducted using COMSOL Multiphysics 6.1 software. The determination coefficient (R2) between the simulated data and experimental values of Sample1 (S1), Sample2 (S2), and Sample3 (S3) was calculated, and its average values were 0.964, 0.963, 0.963, and 0.967, respectively. This study demonstrates that the airflow direction and outlet location have a significant impact on the temperature uniformity of the paddy. The vortex structure generated by the obstruction of the sidewalls and paddy influences both the airflow and temperature distribution within the drying chamber. When the outlet was on the left side and the inlet airflow was in a vertical orientation (VO), the temperature distribution of the paddy exhibited higher temperatures in the edge regions and lower temperatures in the center, with a maximum temperature difference of around 16 °C. The time required for the temperature to reach equilibrium with the outlet positioned on the left was 28.6% shorter than with the outlets positioned in the center or on both sides. Moreover, the temperature uniformity of the three paddy samples was better under this condition. The developed model accurately reflected the paddy drying process. It could also be used to analyze the optimal heating uniformity, providing a technical basis for the design of grain dryers.
The Potential Application of Visible-Near Infrared (Vis-NIR) Hyperspectral Imaging for Classifying Typical Defective Goji Berry (Lycium barbarum L.)
Authors: Fatchurrahman Danial , Marini Federico , Nosrati Mojtaba , Peruzzi Andrea , Castellano Sergio , Amodio Maria Luisa , Colelli Giancarlo
Published: October 2024

Goji berry is acknowledged for its notable medicinal attributes and elevated free radical scavenger properties. Nevertheless, its susceptibility to mechanical injuries and biological disorders reduces the commercial diffusion of the fruit. A hyperspectral imaging system (HSI) was employed to identify common defects in the Vis-NIR range (400–1000 nm). The sensorial evaluation of visual appearance was used to obtain the reference measurement of defects. A supervised classification model employing PLS-DA was developed using raw and pre-processed spectra, followed by applying a covariance selection algorithm (CovSel). The classification model demonstrated superior performance in two classifications distinguishing between sound and defective fruit, achieving an accuracy and sensitivity of 94.9% and 96.9%, respectively. However, when extended to a more complex task of classifying fruit into four categories, the model exhibited reliable results with an accuracy and sensitivity of 74.5% and 77.9%, respectively. These results indicate that a method based on hyperspectral visible-NIR can be implemented for rapid and reliable methods of online quality inspection securing high-quality goji berries.
A Foresight Framework for the Labor Market with Special Reference to Managerial Roles—Toward Diversified Skill Portfolios
Authors: Kanzola Anna-Maria , Petrakis Panagiotis E.
Published: October 2024

This study introduces a methodology for labor market foresight through alternative futures. It discusses three alternative scenarios for managerial roles, each exploring varying levels of technological advancement and economic growth, to provide insights into the evolving demands for managerial roles. By drafting a diversified skill portfolio, it is argued that employability skills for managers concern providing education in a combination of areas, such as new technologies, trend analysis, and strategic foresight based on the sector in which the firm operates, negotiation skills and human resources management, contemporary sales techniques, entrepreneurship, and personal growth, including time management, creativity, public speaking skills, and foresight skills. Utilizing responses obtained through an online survey administered in Greece during 2024 to managers and employing principal component analysis (PCA), we establish correlations between skill portfolio composition preferences, foresight analysis, and design of diversified skill portfolios. Diversified skill portfolios are a holistic approach to training, reskilling, and upskilling, including an optimum combination of foundational, complex, digital, green, and always case-fit per occupation or sector of economic activity. Consequently, the insights derived from this study offer a microeconomic perspective regarding the optimal combination of skills for managerial occupations and a macroeconomic perspective concerning the formulation of future training policies for human capital development.
17O Destruction Rate in Stars
Authors: Rapagnani David , Straniero Oscar , Imbriani Gianluca
Published: October 2024

In recent years, several laboratory studies of CNO cycle-related nuclear reactions have been carried out. Nevertheless, extant models of stellar nucleosynthesis still adopt CNO reaction rates reported in old compilations, such as NACRE or CF88. In order to update these rates, we performed new calculations based on a Monte Carlo R-Matrix analysis. In more detail, a method was developed that is based on the collection of all the available data, including recent low-energy measurements obtained by the LUNA collaboration in the reduced background environment of the INFN-LNGS underground laboratory, on R-Matrix cross-section calculations with the AZURE2 code and on uncertainty evaluations with a Monte Carlo analysis. As a first scientific benchmark case, the reactions 17O(p,γ)18F and 17O(p,α)14N were investigated. Among the different stellar scenarios they can influence, the 16O/17O abundance ratio in RGB and AGB stars is the one that can be directly confirmed from spectroscopic measurements. The aim is to reduce the nuclear physics uncertainties, thus providing a useful tool to constrain deep mixing processes eventually taking place in these stars. In this work, we present the procedure we followed to calculate the 17O(p,γ)18F and the 17O(p,α)14N reaction stellar rates and preliminary comparisons with similar rates reported in widely used nuclear physics libraries are discussed.
Influence of Wastes and Synthesis Conditions on the Compressive Strength, Setting Time and Gels of Waste-Based Geopolymers
Authors: Wang Tianyu , Rao Feng , Yang Lang , Jiang Kaixi , Lin Nanan , Mo Liwei
Published: October 2024

In civil engineering, both rapid setting and delayed setting are needed for various application scenarios. In order to regulate the setting time of concrete, the iron ore tailings-blast furnace slag (IOT-BFS)-based geopolymers were synthesized with a broad range of setting time and a high compressive strength in this study. The factors of iron ore tailings content, alkali content, liquid–solid ratio, and modulus of alkali activator on setting time of the geopolymers were analyzed. The setting times of geopolymers are tested by a manual Vicat apparatus, and their microstructure is characterized by scanning electron microscopy (SEM), as well as that the hydration heat flow is characterized by an isothermal heat conduction calorimeter (TAM Air). It is found that setting time of the geopolymers was mostly affected by the modulus of alkaline activators due to the reasons that changes in modulus lead to the accelerated hydration reaction, formation of low-polymeric silicates, generation of gels, and encapsulation of precursor particles caused by high viscosity. Adjusting the modulus of the alkaline activator to 0.8 can control the initial setting time of the geopolymers to around 3 min. When the modulus ranges from 1–1.8, the initial setting time fell in the range of 15–45 min. For an alkaline activator modulus of 2, the initial setting time increased to 108 min. This study gives a clue for the preparation of geopolymers with adjustable setting times for multi-scenario applications in construction materials.