bluuebunny/crossref_metadata_2025 huggingface dataset:
Digital Real-Time Simulation and Power Quality Analysis of a Hydrogen-Generating Nuclear-Renewable Integrated Energy System
Authors: Gautam Sushanta , Szczublewski Austin , Fox Aidan , Mahmud Sadab , Javaid Ahmad , Olowu Temitayo O. , Westover Tyler , Khanna Raghav
Published: February 2025

This paper investigates the challenges and solutions associated with integrating a hydrogen-generating nuclear-renewable integrated energy system (NR-IES) under a transactive energy framework. The proposed system directs excess nuclear power to hydrogen production during periods of low grid demand while utilizing renewables to maintain grid stability. Using digital real-time simulation (DRTS) in the Typhoon HIL 404 model, the dynamic interactions between nuclear power plants, electrolyzers, and power grids are analyzed to mitigate issues such as harmonic distortion, power quality degradation, and low power factor caused by large non-linear loads. A three-phase power conversion system is modeled using the Typhoon HIL 404 model and includes a generator, a variable load, an electrolyzer, and power filters. Active harmonic filters (AHFs) and hybrid active power filters (HAPFs) are implemented to address harmonic mitigation and reactive power compensation. The results reveal that the HAPF topology effectively balances cost efficiency and performance and significantly reduces active filter current requirements compared to AHF-only systems. During maximum electrolyzer operation at 4 MW, the grid frequency dropped below 59.3 Hz without filtering; however, the implementation of power filters successfully restored the frequency to 59.9 Hz, demonstrating its effectiveness in maintaining grid stability. Future work will focus on integrating a deep reinforcement learning (DRL) framework with real-time simulation and optimizing real-time power dispatch, thus enabling a scalable, efficient NR-IES for sustainable energy markets.
Liquid Crystal Thermography and Infrared Thermography Application in Heat Transfer Research on Flow Boiling in Minichannels
Authors: Piasecka Magdalena , Piasecki Artur , Maciejewska Beata
Published: February 2025

This study investigated FC-72 boiling heat transfer in minichannels using two non-contact temperature measurement techniques: liquid crystal thermography (LCT) and infrared thermography (IRT). These methods were applied simultaneously to measure temperature distributions on the heated wall surface of minichannels, formed by a thin metal foil. The temperature data facilitated the calculation of local heat transfer coefficients at the foil–working fluid contact surface. Calibration of the liquid crystal colour response to temperature was conducted prior to the use of LCT. According to a comparison of the heat transfer coefficients and Nusselt numbers determined using LCT and IRT measurements, comparable temperature distributions are provided, with the average relative differences in heat transfer coefficients determined using these techniques remaining below 15%. The findings highlight the advantages of non-contact temperature measurement in minimising system disturbances while providing precise data for understanding flow boiling heat transfer mechanisms. Such results can contribute to the design of minichannel heat exchangers.
Nonlinear Self-Synchronizing Current Control for Single-Phase AC Inverters
Authors: Pandey Shruti , Mclntyre Michael
Published: February 2025

Grid-connected single-phase inverters require accurate phase detection for synchronization and power control. Traditionally, phase-locked loops (PLLs) are used to estimate grid parameters. This paper proposes a novel approach that determines the grid phase angle using only current feedback, eliminating the need for grid voltage measurements or cascaded control schemes. The proposed method integrates a phase angle observer with a current controller to regulate real and reactive power. Lyapunov stability analysis and hardware experiments validate the effectiveness of the approach.
A Retrospective Assessment of Türkiye’s Recent Energy Policy in Terms of Energy Security and Climate Change Mitigation
Authors: Gül Hasan Hüseyin Miraç , Ercan Hakan , Akınoğlu Bülent , Açıkgöz Şenay
Published: February 2025

Countries prioritize secure and cheap energy over clean energy in their energy policies, and Türkiye is no different. The Strategy Plan 2015–2019 of the Ministry of Energy and Natural Resources emphasizes the exploitation of domestic coal for energy security, while Türkiye intends to curb its emissions by 41% by 2030. These two targets contradict in terms of climate change mitigation. In retrospect, this study aims to determine the role of coal, wind, and solar power in energy policy-making through scenario analyses. The results indicate that if Türkiye continued its pre-2020 energy policy, its use of domestic coal would be important for energy security. On the other hand, both wind and solar have the capacity to contribute to the country’s efforts towards energy security and climate change mitigation.
Copper as a Critical Resource in the Energy Transition
Authors: Podobińska-Staniec Marta , Wiktor-Sułkowska Anna , Kustra Arkadiusz , Lorenc-Szot Sylwia
Published: February 2025

The energy transition requires significant amounts of critical raw materials, with demand projected to continue increasing. Analyses indicate that the supply of these materials will fall short of the requirements for the energy transition plans based on renewable energy sources. To address this challenge, it is essential to examine the global value chains of critical raw materials and their intermediates, identifying the risks linked to concentrating downstream processes in countries that may not operate under market-oriented principles. Such countries could become “price makers” on international markets, influencing costs and availability. This article focuses on copper, a key raw material for the energy transition, and explores its global value chains in detail. It highlights the risks associated with copper extraction in regions with the largest identified deposits, such as South America and Africa, as well as challenges related to smelting and refining, which are predominantly carried out in China. Additionally, the article presents an analysis of the operations of KGHM Polska Miedź S.A., one of Europe’s largest copper producers, headquartered in Poland but also active in North and South America.
Global NDVI-LST Correlation: Temporal and Spatial Patterns from 2000 to 2024
Authors: Rahimi Ehsan , Dong Pinliang , Jung Chuleui
Published: February 2025

While numerous studies have investigated the NDVI-LST relationship at local or regional scales, existing global analyses are outdated and fail to incorporate recent environmental changes driven by climate change and human activity. This study aims to address this gap by conducting an extensive global analysis of NDVI-LST correlations from 2000 to 2024, utilizing multi-source satellite data to assess latitudinal and ecosystem-specific variability. The MODIS dataset, which provides global daily LST data at a 1 km resolution from 2000 to 2024, was used alongside MODIS-derived NDVI data, which offers global vegetation indices at a 1 km resolution and 16-day temporal intervals. A correlation analysis was performed by extracting NDVI and LST values for each raster cell. The analysis revealed significant negative correlations in regions such as the western United States, Brazil, southern Africa, and northern Australia, where increased temperatures suppress vegetation activity. A total of 38,281,647 pixels, or 20% of the global map, exhibited statistically significant correlations, with 80.4% showing negative correlations, indicating a reduction in vegetation activity as temperatures rise. The latitudinal distribution of significant correlations revealed two prominent peaks: one in the tropical and subtropical regions of the Southern Hemisphere and another in the temperate zones of the Northern Hemisphere. This study uncovers notable spatial and latitudinal patterns in the LST-NDVI relationship, with most regions exhibiting negative correlations, underscoring the cooling effects of vegetation. These findings emphasize the crucial role of vegetation in regulating surface temperatures, providing valuable insights into ecosystem health, and informing conservation strategies in response to climate change.
Advancing Waste Electrical and Electronic Equipment (WEEE) Recycling: A Random Forest Approach to Classifying WEEE Plastics for Sustainable Waste Management
Authors: Chaine Cecilia , Errandonea Miguel Mitsou , Vega Belen Morales
Published: February 2025

The rapid growth of waste electrical and electronic equipment (WEEE) highlights its significance as a critical waste stream, with plastics comprising 30% of its volume. These plastics often contain hazardous brominated flame retardants (BFRs), which are regulated to prevent negative environmental and public health impacts, but are predominantly managed through incineration, challenging circular economy goals. Addressing this issue requires innovation in sorting technologies and predictive methodologies to reduce reliance on incineration and enhance recycling efficiency. Despite progress, existing recycling practices are hindered by overly conservative contamination assumptions and a lack of detailed data on WEEE characteristics, leading to resource inefficiencies and missed opportunities for material recovery. This research aimed to bridge these gaps by developing a Random Forest-based predictive model to classify WEEE plastics as recyclable or non-recyclable, thereby supporting sustainable waste management. Using a dataset of over 15,000 samples analysed for polymer type, bromine concentration as an indicator of recyclability, and five additional variables, the model demonstrated 80–88% accuracy in validation tests. Polymer type appeared as the most significant predictor, followed by manufacturer and year of manufacture. Regional testing highlighted the adaptability of the model but also underscored the need for extended datasets and improved data management to simplify variable retrieval, as the model relies on hard-to-access data. The findings of this study have broad implications, including enhanced sorting efficiency, regulatory compliance, and alignment with circular economy principles. By refining classification accuracy and expanding its application, the model offers a scalable solution to advancing WEEE recycling and optimizing resource recovery, thereby promoting sustainability and reducing the environmental impact.
Evaluation of Taro (Colocasia esculenta) as a Raw Material for Bioethanol Production Through Ultrasound-Assisted Enzymatic Hydrolysis
Authors: Abreu-Naranjo Reinier , Lucero Yupangui Jadira Elizabeth , Guardado Yordi Estela , Lara-Fiallos Marco , Pais-Chanfrau José-Manuel , Pérez Martínez Amaury
Published: February 2025

The bioethanol produced from biomass fermentation is characterised by its renewable nature, as expressed in its life cycle. The Amazonian taro, with 72% starch content, can be an alternative to traditional raw materials such as corn and sugarcane. The objective of this study was to evaluate taro (Colocasia esculenta) as a raw material for bioethanol production through ultrasound-assisted enzymatic hydrolysis. For the enzymatic hydrolysis process, α-amylase and glucoamylase enzymes were used. Active dry yeast Saccharomyces cerevisiae was employed for fermentation. The chemical characterisation analysis of the flour with peel (WP) revealed high levels of protein (8.71%), crude fibre (4.21%) and total ash (5.56%). However, taro flour without peel (NP) revealed higher starch results (27.5%). The evaluation of reducing sugars during enzymatic hydrolysis showed better results in the samples with ultrasonic pretreatment, specifically in the sample with peel (WP-US) (1017.8 mg/L). The ethanol yield was significantly higher in the ultrasound-treated samples, achieving an approximately 35% increase in ethanol yield for both peeled and unpeeled samples compared to untreated samples. These findings open up new perspectives for using this tuber in the biofuel industry. Furthermore, they emphasise the need for continued research on biomass conversion processes.
Developments in the Recycling of Wood and Wood Fibre in the UK: A Review
Authors: Spear Morwenna J. , Dimitriou Athanasios , Curling Simon F. , Ormondroyd Graham A.
Published: February 2025

There is great interest in using bio-based materials to reduce the climate impact of materials. Similarly, there is an increased focus on the circular economy and recycling of materials to increase material efficiency and reduce waste. In the case of wood waste, this provides a cluster of benefits but has led to a high demand for the reclaimed material. This review provides updates on several technologies where wood fibre recycling and products from recycled wood fibre are breaking into new markets, including wood fibre insulation products, wood plastic composites, oriented strand boards, and fibreboards. Emerging technologies, such as the ability to recycle medium-density fibreboards, in addition to the more commonly recycled solid wood or particleboard, will allow for a new set of options within the wood cascading chain. Looking ahead, there are likely to be advances in new composite products, as well as other feedstock materials derived from reclaimed wood, such as nanocellulose, pyrolysis oils, or wood polymers reclaimed from the wood feedstock. This review arose from an investigation into the wood recycling sector in the UK. So, the horizon scanning exercise presented here considers the needs and challenges that may arise, if the volume of recycled wood fibre can be increased, in an already highly active market. Such developments would permit an increase in the manufacture of new-generation long-service-life products to enhance carbon storage, and potentially a shift away from bioenergy generation.
Accounting for Carbon Emissions from Fisheries in China and Analyzing the Decoupling Effect
Authors: Xia Zhiyao , Hu Dameng
Published: February 2025

This study evaluated the carbon emissions as one of the environmental impacts of fishing activities in China during the period of 2010–2022. The decoupling effect of fishery carbon emissions and fishery economic growth was analyzed using a decoupling model. The findings reveal that China’s fishery carbon emissions are substantial and exhibit multi-stage variations. Inland areas mainly emit carbon from aquatic feed decomposition and aquaculture equipment electricity consumption, with differing structures between high- and low-emission regions. Coastal areas primarily emit carbon from fishing, supplemented by aquatic feed. From 2010 to 2011, decoupling was poorly idealized as strong negative decoupling, but post-2011 featured mainly weak decoupling with strong decoupling as a complement. After excluding economic factors, carbon intensity and population size positively influenced decoupling, with intensity initially leading and scale later expanding. Structural factors mainly hindered decoupling.
Weizmannia coagulans BC99 Relieves Constipation Symptoms by Regulating Inflammatory, Neurotransmitter, and Lipid Metabolic Pathways: A Randomized, Double-Blind, Placebo-Controlled Trial
Authors: Fan Qiuxia , Gao Yinyin , Zhou Yiqing , Wu Jinghui , Wang Haotian , Dong Yao , Gai Zhonghui , Wu Ying , Fang Shuguang , Gu Shaobin
Published: February 2025

Probiotics have attracted increasing attention due to their benefits in terms of relieving gastrointestinal ailments, including constipation. This study evaluated the potential of Weizmannia coagulans BC99 for clinical remission of constipation in adults. In this randomized, double-blind, and placebo-controlled trial, 90 individuals with constipation were divided between a BC99 and a placebo group for an 8-week intervention duration. The spontaneous bowel movement (SBM) frequency, patient assessment of constipation symptoms (PAC-SYM), patient assessment of constipation quality of life (PAC-QOL), inflammatory cytokines, neurotransmitters, and serum metabolites were investigated before and after the intervention. The results showed that BC99 intervention significantly improved constipation symptoms and quality of life in adults with constipation, as evidenced by an increased SBM score and decreased PAC-SYM and PAC-QOL scores. Additionally, BC99 supplementation increased the levels of neurotransmitters (5-HT, MTL, AChE, and BDNF) associated with intestinal motility and alleviated inflammation in participants with constipation, as supported by higher levels of anti-inflammatory factors (IL-4, IL-10) and lower levels of pro-inflammatory factors (IL-6, IFN-γ) in the BC99 group. Furthermore, BC99 altered the abundance of 93 metabolites and affected biological pathways correlated with gastrointestinal motility, including sphingolipid metabolism, steroid hormone biosynthesis, and glycerophospholipid metabolism. This study demonstrates the effectiveness of the W. coagulans BC99 strain in relieving constipation in adults, and reveals its potential mechanism of action. These findings provide a scientific basis for BC99 as an effective and safe probiotic for constipation treatment.
Effects of Barley (Hordeum vulgare L.) on Antioxidant Activities of Maillard Reaction Products and Consumer Acceptance of Barley Nurungji, Traditional Korean Snack
Authors: Jeong Yerim , Choi Il Sook
Published: February 2025

This study evaluated the physicochemical characteristics, antioxidant properties, and consumer acceptance of a traditional Korean snack nurungji blended with barley (Hordeum vulgare L.). The antioxidant activity of β-glucan was identified in barley using a model Maillard reaction products (MRPs) system. Nurungji samples were analyzed based on barley cultivars (waxy and hulled), barley blending ratios (0, 25, 50, 75, and 100), and cooking equipment (electric and electric pressure rice cooker). Nurungji blended with waxy barley and cooked using an electric pressure rice cooker showed a significant increase in antioxidant properties, such as 2,2-diphenyl-1-picrylhydrazyl and 2,2′-azinobis-(3-ethylbenzothiazoline-6-sulfonic acid) radical scavenging activities, ferric reducing antioxidant power, and reducing power. The antioxidant activity of the model MRP solutions increased according to heating time and the addition of β-glucan. In the consumer acceptance test, nurungji blended with 50% barley showed a significantly higher acceptance rate in terms of overall evaluation, aroma, taste, texture, aftertaste, and purchase intents.
Effects of Diet Xylooligosaccharide Supplementation on Growth Performance, Carcass Characteristics, and Meat Quality of Hu Lambs
Authors: Yang Jiaxin , Jia Wanhang , Zhang Binglei , Sun Saiyi , Dou Xueru , Wu Qiujue , Wang Yuqin , Li Yuanxiao , Ma Wenfeng , Ren Guoyan , Zhang Xiaoyin , Wang Yang
Published: February 2025

In this study, we examined the effect of xylooligosaccharide (XOS) supplementation on the growth performance, carcass characteristics, and meat quality of Hu lambs. In total, 60 Hu lambs (two months old and weighing 17.32 ± 0.81 kg) were randomly assigned to four treatment groups, each with three replicates and five lambs per replicate. The lambs were fed basal diets supplemented with 0, 1.5, 3, or 4.5 g/kg XOSs in a basal diet for 60 days, with the groups designated XOS0%, XOS1.5%, XOS3%, and XOS4.5%, respectively. The results revealed, compared to theXOS0% group, the XOS3% group presented a lower F:G during 31 to 45 d (p = 0.06). By the 60th day, the body length indices of groups XOS3% and XOS4.5% increased compared to the XOS0% group, with a significant increase observed in group XOS4.5% (p < 0.05). Additionally, the GR values of the XOS1.5%, XOS3%, and XOS4.5% groups increased significantly, and the rumen fluid pH values of the XOS3% and XOS4.5% groups increased significantly (p < 0.01). The crude fat content in the XOS1.5% and XOS4.5% groups were significantly lower (p < 0.05). The hardness, adhesiveness, elasticity, cohesiveness, and chewiness of the mutton in the XOS1.5%, XOS3%, and XOS4.5% groups were increased, although the differences were not statistically significant (p > 0.05). Correlation analysis indicates that there is a significant correlation between growth performance, carcass traits, and meat quality (p < 0.05). The factors influencing meat quality originate from the growth period and the slaughtering phase, which can be attributed to the effects of xylooligosaccharides. In conclusion, XOS had positive effects on the growth performance, carcass characteristics, and meat quality of Hu lambs. The comprehensive effect of group XOS3% was best. Considering the production cost, the 3 g/kg XOSs is identified as the optimal supplementation level for sheep.
The Mechanism of Quality Changes in Grass Carp (Ctenopharyngodon idella) During Vacuum-Assisted Salting Brining with Physicochemical and Microstructural View
Authors: Ma Jianrong , Shi Jian , Lv Ruiying , Jiang Xin , Jiang Qingqing , Wang Dajun , Zhang Shumin , Shi Wenzheng
Published: February 2025

This study investigated the effects of vacuum impregnation (V) and atmospheric pressure impregnation (C) on the quality and microstructure of grass carp (Ctenopharyngodon idella) fillets during a 120 min brining period under 5.8% NaCl (w/v) and 4 °C. Vacuum impregnation significantly enhanced brining efficiency, achieving higher salt content (2.01%) and accelerated mass transfer kinetics, as evidenced by Peleg model parameters. Both treatments improved the water-holding capacity (WHC), increasing from 80.16% to 91.47% (C) and 89.92% (V), while reducing free water proportion. A microstructural analysis revealed a reduction in extracellular space in fillets, which further affected the fillet WHC and texture. Vacuum brining also mitigated lipid oxidation, yielding lower thiobarbituric acid-reactive substances (TBARSs: 0.237 mg MDA/kg). Texture analysis indicated reduced hardness and increased springiness/cohesiveness in fillets. Despite a slight decrease in lightness, vacuum-assisted brining preserved sensory quality and aligned with low-salt dietary trends. These findings underscore vacuum technology’s potential to optimize brining efficiency and product quality in industrial applications.
Effect of the Partial Substitution of NaCl with L-Arg on the Gel Properties and Aggregation Behavior of Beef Myosin
Authors: Yu Chuanlong , Chen Lingli , Ouyang Kehui , Chen Hui , Lin Suyun , Wang Wenjun
Published: February 2025

With 0.3 M KCl replacing NaCl, the effect of L-Arg on beef myosin’s gel, structure, and aggregation was investigated. L-Arg could enhance hydrogen and ionic bonds, increasing myosin solubility and reducing turbidity. The content of regular secondary structures (β-sheet) increased, and the content of random coil structures decreased significantly (p < 0.05). The results of dynamic light scattering (DLS) and atomic force microscope (AFM) further demonstrated that L-Arg could improve the uniformity and dispersion of myosin aggregate size and inhibit the aggregation of myosin between the head and the tail. Moreover, as the hydrophobic interaction and disulfide bonds were the main forces, a thermal gel dominated by myosin oligomers and filaments was formed. In the 0.3 M KCl, 0.1 M NaCl, and 0.2 M L-Arg system, the hardness, elasticity, and water holding capacity (WHC) of beef myosin gel were effectively improved, providing a salt reduction reference for beef products.
Hazelnut Skin Fortification of Dehulled Lentil Chips to Improve Nutritional, Antioxidant, Sensory, and Chemical Properties
Authors: Costantini Lara , Frangipane Maria Teresa , Massantini Riccardo , Garzoli Stefania , Merendino Nicolò
Published: February 2025

Legumes consumption is still low in Western countries, and their incorporation into bakery products could be a solution. However, a minimally processed legume-based product is still a challenge because of its negative impact on acceptance by consumers. Here, an oven-baked chip recipe, based on lentil flour, was fortified with 5% hazelnut skin (HS), a byproduct of hazelnut industrial processing, to improve the nutritional, antioxidant, and sensory features of this innovative food. Indeed, HS addition allows a nutritional profile improvement, increasing the fibers from 11.71% to 15.63%, and maintaining a high protein content (24.03 g/100 g). Furthermore, HS fortification increased total phenolic compounds and total antioxidant capacity by 1.6- and 2-fold, respectively, compared to the control. Finally, HS significantly improved the overall judgment score by 1.2 points (from 5.6 to 6.8 in control and experimental chips, respectively) halving the pulse-like aroma from 8.6 to 4.3 due to the strong decrease in the dodecane compound and due to HS volatile composition, rich in hexanal. Therefore, HS could be a valuable ingredient in improving the nutritional and functional features of bakery products as well as the sensory profiles of less palatable but healthy legume-based foods.
A Novel Grey Prediction Model: A Hybrid Approach Based on Extension of the Fractional Order Discrete Grey Power Model with the Polynomial-Driven and PSO-GWO Algorithm
Authors: Yang Baohua , Zeng Xiangyu , Zhao Jinshuai
Published: February 2025

Background: This study addresses the challenge of predicting data sequences characterized by a mix of partial linearity and partial nonlinearity. Traditional forecasting models often struggle to accurately capture the complex patterns of change within the data. Methods: To this end, this study introduces a novel polynomial-driven discrete grey power model (PFDPGM(1,1)) that includes time perturbation parameters, enabling a flexible representation of complex variation patterns in the data. The model aims to determine the accumulation order, nonlinear power exponent, time perturbation parameter, and polynomial degree to minimize the fitting error under various criteria. The estimation of unknown parameters is carried out by leveraging a hybrid optimization algorithm, which integrates Particle Swarm Optimization (PSO) and the Grey Wolf Optimization (GWO) algorithm. Results: To validate the effectiveness of the proposed model, the annual total renewable energy consumption in the BRICS countries is used as a case study. The results demonstrate that the newly constructed polynomial-driven discrete grey power model can adaptively fit and accurately predict data series with diverse trend change characteristics. Conclusions: This study has achieved a significant breakthrough by successfully developing a new forecasting model. This model is capable of handling data sequences with mixed trends effectively. As a result, it provides a new tool for predicting complex data change patterns.
PyMAP: Python-Based Data Analysis Package with a New Image Cleaning Method to Enhance the Sensitivity of MACE Telescope
Authors: Khurana Mani , Yadav Kuldeep Kumar , Chandra Pradeep , Singh Krishna Kumar , Pathania Atul , Borwankar Chinmay
Published: February 2025

Observations of Very High Energy (VHE) gamma ray sources using the ground-based Imaging Atmospheric Cherenkov Telescopes (IACTs) play a pivotal role in understanding the non-thermal energetic phenomena and acceleration processes under extreme astrophysical conditions. However, detection of the VHE gamma ray signal from the astrophysical sources is very challenging, as these telescopes detect the photons indirectly by measuring the flash of Cherenkov light from the Extensive Air Showers (EAS) initiated by the cosmic gamma rays in the Earth’s atmosphere. This requires fast detection systems, along with advanced data acquisition and analysis techniques to measure the development of extensive air showers and the subsequent segregation of gamma ray events from the huge cosmic ray background, followed by the physics analysis of the signal. Here, we report the development of a python-based package for analyzing the data from the Major Atmospheric Cherenkov Experiment (MACE), which is operational at Hanle in India. The Python-based MACE data Analysis Package (PyMAP) analyzes data by using advanced methods and machine learning algorithms. Data recorded by the MACE telescope are passed through different utilities developed in the PyMAP to extract the gamma ray signal from a given source direction. We also propose a new image cleaning method called DIOS (Denoising Image of Shower) and compare its performance with the standard image cleaning method. The working performance of DIOS indicates an advantage over the standard method with an improvement of ≈25% in the sensitivity of MACE.
Impact of Pomegranate Extract Supplementation on Physical and Cognitive Function in Community-Dwelling Older Adults Aged 55–70 Years: A Randomised Double-Blind Clinical Trial
Authors: Farhat Grace , Malla Jhama , Al-Dujaili Emad A. S. , Vadher Jay , Nayak Pradeepa , Drinkwater Kenneth
Published: February 2025

Background/objectives: Cognitive decline and loss of physical function are common concerns in older adults, with limited effective interventions available. This study aimed to assess the impact of pomegranate extract (PE) supplementation on cognitive and physical function in older adults aged 55–70 years. Methods: A randomised, double-blind placebo-controlled trial was conducted with 86 participants, who were assigned to receive either PE (740 mg) or a placebo (maltodextrin) daily for 12 weeks. Cognitive function was assessed using computerised tests (Corsi, digit span, Wisconsin Card Sorting Test (WCST), Tower of Hanoi, Stroop test and Rey auditory verbal learning test). Physical function was measured through assessments of standing balance, gait speed, chair sit to stand and grip strength. Results: There was a significant effect of treatment and time on WCST performance (F (1,2) = 2.718, p = 0.05), while trends towards better outcomes in the PE group were noted for digit span, Tower of Hanoi and Stroop tests. Physical function did not seem to be affected by the intervention, but results may have been limited by the high baseline physical activity levels and full mobility of the older adults. Conclusions: This was the first study to examine the effect of PE on cognitive and physical function over a duration of 12 weeks. Findings suggest that PE supplementation has potential in improving cognitive function and may offer a promising approach to preventing cognitive decline in ageing adults. Further controlled and well-designed long-term studies are needed to establish the long-term effects of PE on cognitive and physical health, along with the mechanisms of action involved.
Kami Fumi-e: Japanese Paper Images to Be Trampled on—A Mystery Resolved
Authors: Montanari Riccardo , Colomban Philippe , Alberghina Maria Francesca , Schiavone Salvatore , Pelosi Claudia
Published: February 2025

There has been long-standing debate as to whether Kami Fumi-e (paper images to be trampled on) had actually been used in image trampling sessions as part of the 250-year persecution of Christianity enforced by the Tokugawa Shogunate. Sacred images of Christianity officially recorded to have been trampled on are housed in the permanent collection of the Tokyo National Museum and are almost uniquely made of metal alloy. The controversy regarding paper images, apart from the medium being considered unsuitable for such extreme use, was fueled by the appearance of a significant number of them in museum collections and institutions worldwide in the 20th century. Most of the prints bear dates from different eras of the Edo period, sometimes hundreds of years apart; therefore, long-standing arguments regarding their authenticity marked the last century. In order to distinguish later copies from potentially original pieces, if ever existed, XRF, Raman, and FTIR analytical techniques were used to study the materials characterizing them. In addition, detailed observation of the main visual features (overall design composition, inscriptions, paper support, etc.) was carried out to highlight potential discrepancies that could pair with scientific evidence and lead to a definitive conclusion.
Effects of Different Mulched Drip Irrigation Levels on the Soil Microorganisms and Yield of Greenhouse Tomatoes (Solanum lycopersicum L.)
Authors: An Jianglong , Zheng Lijian , Ma Li , Ma Xiangming , Ma Juanjuan
Published: February 2025

It is imperative to investigate the impact of irrigation on the microorganisms inhabiting soil in greenhouses, as this understanding is crucial for the implementation of effective water conservation strategies and optimal soil health sustenance in greenhouse tomato production. To this end, a tomato-cultivating experiment was conducted in a greenhouse, with the control group receiving no planting or irrigation (W0), during the years 2021 and 2022 in the Taiyuan region of Shanxi Province, China. The experiment incorporated three irrigation levels: W1 (50–70% of the field capacity), W2 (60–80% of the field capacity), and W3 (70–90% of the field capacity). The objective of our study was to clarify the effects of different irrigation levels on soil bacterial and fungal community compositions and functions, as well as tomato yield and water use efficiencies, by analyzing the changes in community structural characteristics and potential functional composition of soil bacteria and fungi under different irrigation levels. Our results showed that in comparison with the control treatment, the W3 irrigation treatment exhibited the highest bacterial α-diversity, while its fungal diversity was the lowest. The r-strategy microbial community in tomato soil demonstrated increased abundance under the irrigation treatment. The relative abundance of common beneficial tomato bacteria increased by 0.32–1.70%, but that of beneficial soil fungi decreased by 0.09–3.75%. Among the different irrigation treatments, the relative abundances of Bacillus and Plectosphaerella changed the most. The functional structure of the bacteria in the irrigation treatment remained largely unchanged, while the saprotroph functional group of fungi was increased by 14.72–23.28%. With the increase in irrigation volume, the tomato yield of the W3 treatment increased, though the water use efficiency was not the greatest. The W2 treatment did not significantly reduce the yield, but it did increase the pathotroph functional groups of fungi, which may reduce the stress resistance of plants to soil-borne diseases. The findings of this study serve as a valuable reference point for the prediction of greenhouse soil health and the enhancement of tomato yields.
Characterization of Tocochromanols in Wild Hypericum perforatum Populations in Latvia
Authors: Górnaś Paweł , Mišina Inga , Perkons Ingus , Segliņa Dalija , Czlapka-Matyasik Magdalena
Published: February 2025

St. John’s wort (Hypericum perforatum L.) is an ornamental and medical plant, distributed worldwide, which is rich in diverse secondary metabolites. The discovery of the presence of tocotrienols (rare prenyllipids) in H. perforatum marks a new chapter demanding a deeper understanding of the accumulation of these lipophilic biomolecules. Three wild St. John’s wort populations were harvested in Latvia at three different locations from 2022 to 2024 and separated into stems, leaves, flower buds, and flowers. Plant samples were freeze-dried, ground, saponified, and analyzed for tocochromanol profiles using RP-LC-FLD and confirmed by an LC-MS system. Eight tocochromanols, four tocopherols (Ts), and four tocotrienols (T3s), were identified and confirmed in H. perforatum. Leaves were dominated by α-T (82%), and flower buds and flowers by δ-T3 (44%); thus, the lowest concentrations of tocotrienols were recorded in leaves and the highest in flower buds. The other tocotrienols were present as follows: α-T3 > γ-T3 > β-T3. The location of H. perforatum, the year of harvest, the aerial part of the plant, and their interactions all significantly influenced the content of tocochromanols (p < 0.05). The present study demonstrates relevant discoveries regarding the accumulation of tocotrienols in various St. John’s wort organs and their variability.
Injury Caused by Western Tarnished Plant Bug (Hemiptera: Miridae) on Broccoli and Cauliflower in Laboratory Assays
Authors: Joseph Shimat V.
Published: February 2025

The polyphagous Lygus hesperus Knight is a serious pest on many crops in the western USA, including California’s central coast. Although L. hesperus adults can cause damage to broccoli and cauliflower, symptoms from their interactions with these plants are not fully characterized. Characterizing the feeding and ovipositional damage will help in the early diagnosis of the problem in the field and in greenhouses. Thus, the objective of this study was to characterize the feeding and ovipositional injury symptoms in broccoli and cauliflower after exposing 0, 1, 3, 5, and 10 adult L. hesperus to seedlings of broccoli and cauliflower for 24 h, 48 h, and 7 d. Although distorted and “blind” shoots were observed, feeding injury did not rapidly manifest into damage after 7 d post-exposure with high counts of adults on broccoli and cauliflower seedlings. The ovipositional injury was expressed as lesions that developed rapidly with a high density of adults in 24 h. The same levels of damage were observed with three or five adults to these hosts in 48 h. Significant positive correlations between the total eggs and lesions developed were observed on broccoli and cauliflower seedlings. After adult L. hesperus exposure, the growth of broccoli seedlings was reduced, but there was no effect on the growth of cauliflower seedlings. For diagnosis, data show that lesions are associated with adult L. hesperus ovipositional activity on these crops, which recommends thorough scouting and immediate application of plant protectants to reduce potential crop loss in greenhouses and in the field.
Access to Interpretable Data to Support Disproportionate Health Risks from Industrial Releases: A Case Study on the Environmental Protection Agency’s Datasets and Their Application to the Latinx Communities of Houston, Texas
Authors: Wheless Hannah , Hoepner Lori A.
Published: February 2025

Latinx communities face disproportionate environmental injustices and are targeted due to systematic economic and political inequities. This research evaluates the ease at which links between industrial releases and risk of adverse health effects can be defined to influence policy change in Houston, TX. The Environmental Protection Agency (EPA)’s Toxic Release Inventory (TRI) is the most comprehensive public database on industrial facilities’ toxic chemical releases in the US. TRI is presented within a risk-based context through the Risk Screening Environmental Indicators (RSEI) scores. TRI and RSEI datasets for Houston in 2022 were assessed in QGIS to analyze chemical release and risk in neighborhoods using Community Tabulation Areas (CTAs), identifying demographics of communities facing disproportionate industrial releases and consequent potential health risks. Geospatial visualizations reflected Latinx communities to house the heaviest polluting industrial facilities in Houston. As a result, these communities face the highest potential risk of adverse health effects due to exposure to a multitude of chemicals—particularly 1,3-butadiene, benzene, and chromium—as reflected in cumulative RSEI scores. An analysis of TRI and RSEI datasets elucidates the burden of gathering and analyzing chemical release data in a public health context, reflecting why change beginning at the local level can be difficult for under-resourced Latinx communities facing industrial pollution. Improving the accessibility and utility of the EPA resources will provide a resource to advocate for data-driven policy change.
Social Determinants and Health Equity Activities: Are They Connected with the Adaptation of AI and Telehealth Services in the U.S. Hospitals?
Authors: Pinera Pearl A. , Kim Pearl C. , Pinera Fye A. , Shen Jay J.
Published: February 2025

In recent decades, technological shifts within the healthcare sector have significantly transformed healthcare management and utilization, introducing unprecedented possibilities that elevate quality of life. Organizational factors are recognized as key drivers in technology adoption, but involvement of hospitals in community-oriented activities and promotion of health equity are underexplored. This study investigated the impact of community social determinant activities and health equity activities on the adoption of AI and telehealth services within U.S. hospitals. The data were collected from the 2021 American Hospital Association (AHA) annual survey and were analyzed using multiple logistic and linear regression models to examine activities related to addressing population health, particularly social determinants and health equity, and their impacts on the adoption of AI and telehealth among U.S. hospitals. The results indicate a significant positive association between the community social determinant indicator and health equity indicator in adopting AI and telehealth services. Organizational factors were also major drivers of AI and telehealth adoption. The active incorporation of hospital strategies that address social determinants and promote health equity leads to the integration of advanced technologies and improves hospital conditions, enabling more adaptability to the changing healthcare landscape, which enhances healthcare services and accessibility.
“I Must Be the One to Change; He’s Doing the Best He Can”: Care Partner Evaluation Results from a Four-Part, In-Person, Dementia Community Education Program
Authors: Rubio Olivia C. , Husser Erica K. , Wright Rollin , Berish Diane , Whitaker Janice , Boltz Marie , Fick Donna
Published: February 2025

We created a comprehensive, four-part, in-person, interactive community education series to teach informal, unpaid care partners of persons living with dementia (PLWD) how to support their PLWD, negotiate common day-to-day challenges, and navigate predictable situations that arise as the disease progresses over time. The purpose of this qualitative study was to explore the series impact on participant knowledge, care practices, and perceptions of caregiving. Inspired by the U.S. Medicare Cognitive Assessment and Care Plan Service visit and the 4Ms of the Age-Friendly Health Systems Framework, our curriculum focused on (1) expanding knowledge about the disease and disease progression, (2) developing skills to better connect and work with PLWD, (3) self-care for care partners, and (4) sharing resources to support future planning. The program was delivered in three communities in Central Pennsylvania (one rural, one small, and one medium metropolitan) and was attended by 146 individuals. Both session and final qualitative evaluation data were assessed using thematic analysis and five major categories emerged: lessons learned, activating new knowledge, impact and changes, assuming responsibility is challenging, and I need more help. Ongoing education, emotional support, and access to quality assistance for long-term planning are all needed and require sustained support.
Modeling a Sustainable Decision Support System for Banking Environments Using Rough Sets: A Case Study of the Egyptian Arab Land Bank
Authors: Elnagar Mohamed A. , Abdel Aty Jaber , Elhady Abdelghafar M. , Shohieb Samaa M.
Published: February 2025

This study addresses the vast amount of information held by the banking sector, especially regarding opportunities in tourism development, production, and large residential projects. With advancements in information technology and databases, data mining has become essential for banks to optimally utilize available data. From January 2023 to July 2024, data from the Egyptian Arab Land Bank (EALB) were analyzed using data mining techniques, including rough set theory and the Weka version 3.0 program. The aim was to identify potential units for targeted marketing, improve customer satisfaction, and contribute to sustainable development goals. By integrating sustainability principles into financing approaches, this research promotes green banking, encouraging environmentally friendly and socially responsible investments. A survey of EALB customers assessed their interest in purchasing homes under the real estate financing program. The results were analyzed with GraphPad Prism version 9.0, with 95% confidence intervals and an R-squared value close to 1, and we identified 13 units (43% of the total units) as having the highest marketing potential. This study highlights data mining’s role in enhancing marketing for the EALB’s residential projects. Combining sustainable financing with data insights promotes green banking, aligning with customer preferences and boosting satisfaction and profitability.
Genome-Wide Identification and Expression Analysis of the Mediator Complex Subunit Gene Family in Cassava
Authors: Zhou Lingling , Sun Shuhui , Zhu Linlong , Chen Xian , Xu Ran , Wu Lian , Gu Shuang
Published: February 2025

The Mediator complex (MED) functions as a co-activator in plants, transmitting transcriptional signals to regulate gene expression, including responses to environmental stresses. While the MED gene family has been identified in several species, it has not yet been reported in cassava. In this study, we identified 32 members of the MeMED gene family in cassava (Manihot esculenta Crantz) distributed across 13 chromosomes. These genes were categorized into distinct Mediator subunits based on their similarity to Arabidopsis modules. Promoter analysis revealed the presence of various cis-regulatory elements, which likely play key roles in regulating plant growth, development, and stress responses. RNA-seq data showed tissue-specific expression patterns for the MeMED genes, with significant expression observed in leaves, roots, petioles, stems, friable embryogenic callus, and shoot apical meristems. Further RT-qPCR analysis under various abiotic stress conditions—including drought, exogenous hydrogen peroxide, cold, heat, and salt—demonstrated that 10 selected MeMED genes exhibited significant differential expression, indicating their potential functional involvement in stress adaptation. These findings offer insights into the biological roles of the MeMED gene family in cassava, with implications for improving stress tolerance in future breeding programs.
Approaches for Inclusion Complexes of Ezetimibe with Cyclodextrins: Strategies for Solubility Enhancement and Interaction Analysis via Molecular Docking
Authors: Cho Dae-Yeong , Lee Jeong-Gyun , Kim Moon-Jung , Cho Hyuk-Jun , Cho Jung-Hyun , Kim Kyeong-Soo
Published: February 2025

This study aimed to improve the solubility of ezetimibe (EZT), which has low aqueous solubility, by preparing complexes using β-cyclodextrin (β-CD) derivatives. Phase solubility studies and Job’s plot confirmed a high apparent stability constant for EZT with β-CD and even higher constants with its derivatives, establishing a 1:1 stoichiometric ratio. The composites were prepared using spray drying over a range of molar ratios, and their physicochemical properties were evaluated using techniques such as scanning electron microscopy (SEM), powder X-ray diffraction (PXRD), and Fourier transform infrared spectroscopy (FT-IR). Saturation solubility and in vitro dissolution tests revealed that solubility increased with higher CD molar ratios. EZT/RM-β-CD inclusion complexes (ICs) and EZT/DM-β-CD ICs exhibited a similar solubility, which was greater than that of EZT/HP-β-CD ICs and EZT/SBE-β-CD ICs (where RM, DM, HP, and SEB represent H, CH3, -CH2-CHOH-CH3 and -(CH2)4-SO3Na synthetic derivatives, respectively). Most complexes, except for EZT/SBE-β-CD at 1:2 or higher ratios, showed superior solubility compared with EZT powder and commercial products. Molecular docking simulations confirmed EZT inclusion within the CD, revealing hydrogen bonds and binding energies that aligned with solubility trends. These findings suggest that EZT complexes with β-CD derivatives significantly improve solubility, highlighting their potential for developing more effective oral solid formulations for hyperlipidemia treatment.