bluuebunny/crossref_metadata_2025 huggingface dataset:
Innovative Pavement Materials: Utilizing Corn Stover and Fly Ash in Geopolymers
Authors: Paneru Anu , Sagar Viral , Tarikuzzaman Mohammad , Lynam Joan G. , Gordon Stephen T. , Alam Shaurav
Published: September 2024

The development of each nation is evaluated by its infrastructure, and each nation is competing with the others in infrastructure advancement, especially in the construction of roadways, since they play a vital role in the economic and social development of the nation. The conventional materials used for road construction are concrete and asphalt, which pose significant environmental challenges. This research gives insight into the potential of fly ash (FA) and corn stover (CS) in synthesizing geopolymer, as an alternative material for the construction of roads. This study examines the impact of three FA and CS mixture percentages and the particle size of CS on the compressive strength and porosity of geopolymer. The results indicate that incorporating larger amounts of CS in fly ash-based geopolymer may decrease the compressive strength of the geopolymer. Smaller CS particle sizes also tend to lead to lower compressive strength. Porosity of the geopolymer tended to increase with the incorporation of higher percentages of CS, particularly for smaller corn stover sizes. As a fine aggregate replacement for geopolymer, CS incorporation has the potential to reduce mined aggregate obtained from a process that harms the environment.
Optimization of the Encapsulation of Vitamin D3 in Oil in Water Nanoemulsions: Preliminary Application in a Functional Meat Model System
Authors: Peñuñuri-Pacheco Nallely , Moreno-García Yuvitza Alejandra , González-Ríos Humberto , Astiazarán-García Humberto , López-Franco Yolanda L. , Tortoledo-Ortiz Orlando , Pérez-Báez Anna Judith , Dávila-Ramírez José Luis , Lizardi-Mendoza Jaime , Valenzuela-Melendres Martin
Published: September 2024

Meat products containing Vitamin D3 (VD3) are an innovative option that could contribute to reducing deficiencies in this micronutrient. Designing nanoemulsions that carry VD3 is the first step in developing functional meat products. Thereby, this study investigated the impact of food components on the nanoemulsion properties. A central composite design was used to study the effects of pea protein (PP, 0.5–2.5%), safflower oil (SO, 5–15%), and salt (0–0.5%) on the nanoemulsion stability (ζ-potential and particle size) and the VD3 retention. Also, the optimized nanoemulsion carrying VD3 was incorporated into a meat matrix to study its retention after cooking. The combination of food components in the optimized nanoemulsion were SO = 9.12%, PP = 1.54%, and salt content = 0.4%, resulting in the predicted values of ζ-potential, particle size, and VD3 retention of −37.76 mV, 485 nm, and 55.1%, respectively. The VD3 that was nanoencapsulated and included in a meat product remained more stable after cooking than the VD3 that was not encapsulated. If a meat product is formulated with 5 or 10% safflower oil, the stability of the nanoencapsulated VD3 is reduced. This research contributes to developing functional meat products carrying nanoencapsulated vitamin D3 in natural food-grade components.
Nutritional Value, Fatty Acid and Phytochemical Composition, and Antioxidant Properties of Mysore Fig (Ficus drupacea Thunb.) Fruits
Authors: Murthy Hosakatte Niranjana , Yadav Guggalada Govardhana , Joseph Kadanthottu Sebastian , H. S. Sabha Khan , Magi Snehalata M. , Dewir Yaser Hassan , Mendler-Drienyovszki Nóra
Published: September 2024

Ficus drupacea is a fruit-bearing tree that is distributed in Southeast Asia and Australia. The objective of this research was to ascertain the following with regard to ripened fruits: (i) their nutritional value, (ii) their mineral status, (iii) the fatty acid composition of fruit and seed oil, (iv) their phytochemical makeup, and (v) their antioxidant properties. The ripened fruits contained 3.21%, 3.25%, 0.92%, 1.47%, and 2.20% carbohydrate, protein, fat, ash, and fiber, respectively. Fruits had an energy content of 30.18 kcal/100 g. In terms of mineral content, the fruit was rich in potassium, magnesium, calcium, and nitrogen, with values of 21.03, 13.24, 11.07, and 4.13 mg/g DW. Iron, zinc, manganese, and boron had values of 686.67, 124.33, 114.40, and 35.78 µg/g DW, respectively. The contents of oxalate and phytate were 14.44 and 2.8 mg/g FW, respectively. The fruit and seed oil content were 0.67 and 8.07%, respectively, and the oil’s physicochemical properties were comparable to those of fig fruit and seed oils. Omega-3 (α-linolenic acid), omega-6 (linoleic acid), and omega-9 (oleic acid) fatty acids were abundant in the oils. Fruit extracts in acetone, methanol, and water have greater concentrations of phenolics, flavonoids, and alkaloids. The 2,2-diphenyl-2-picrylhydrazyl, total antioxidant activity, and ferric reducing antioxidant power assays demonstrated increased antioxidant activities in close correlation with the higher concentrations of phenolics, flavonoids, and alkaloids. The results of this study demonstrate that the fruits of F. drupacea are a strong source of nutrients and phytochemicals, and they merit more investigation and thought for possible uses.
Evaluation of Prebiotic and Health-Promoting Functions of Honeybee Brood Biopeptides and Their Maillard Reaction Conjugates
Authors: Ounjaijean Sakaewan , Chaipoot Supakit , Phongphisutthinant Rewat , Kanthakat Gochakorn , Taya Sirinya , Pathomrungsiyounggul Pattavara , Wiriyacharee Pairote , Boonyapranai Kongsak
Published: September 2024

This study addresses the growing interest in natural functional ingredients by evaluating the prebiotic and health-promoting functions of honeybee brood biopeptides (HBb-Bps) and their conjugates. The purpose was to investigate their antioxidant activities, enzyme inhibition properties, and effects on probiotic growth and short-chain fatty acid (SCFA) production. The HBb-Bps were conjugated with honey, glucose, and fructose via the Maillard reaction. Antioxidant activities were assessed using DPPH and ABTS assays. The inhibitory effects on amylase, pancreatic lipase, and the angiotensin-converting enzyme (ACE) were measured. Probiotic growth and SCFA production were evaluated using L. plantarum TISTR846, and L. lactis TISTR1464. The HBb-Bps and their conjugates exhibited enhanced antioxidant activities post-Maillard reaction. They showed moderate enzyme inhibition, which decreased after conjugation. However, ACE inhibition increased with conjugation. The HBb-Bps significantly promoted probiotic growth and SCFA production, with further enhancement by the Maillard reaction. Overall, the HBb-Bps and their conjugates demonstrate significant prebiotic and health-promoting functions, suggesting their potential as natural ingredients in functional foods and nutraceuticals. Further research should focus on the in vivo effects and, given their solubility and stability these biopeptides could be incorporated into functional food formulations, such as health beverages, protein bars, and other fortified foods designed to deliver specific health benefits.
Physicochemical, Nutritional, and Antioxidant Properties of Traditionally Fermented Thai Vegetables: A Promising Functional Plant-Based Food
Authors: Pan-utai Wanida , Settachaimongkon Sarn , La-ongkham Orawan , Pornpukdeewattana Soisuda , Hamwane Marisa , Lorpeunge Chalantorn , Adame Masnavee , Yodbumprenge Charisa
Published: September 2024

Fermented plant-based products were gathered from various regions in Thailand and categorized into 10 types of traditional commercial vegetables. Different vegetable materials and natural fermentation methods influence the diverse physical, chemical, nutritional, and functional attributes of the products. All the traditionally fermented Thai vegetable samples collected showed physicochemical properties associated with the fermentation process, contributing to the nutritional and functional quality of the final products. Achieving consistent research results is challenging due to the intricate nature of food matrices and biochemical processes during fermentation. The roles of microorganisms, especially probiotics, are crucial in delivering health benefits through fermented foods. Traditionally fermented Thai vegetable foods contain high levels of total soluble solids, titratable acidity, and salinity in pickled shallot and ginger as a result of the natural fermentation process and the ingredients used. The research findings were confirmed using a hierarchical cluster analysis (HCA)-derived dendrogram pattern. The nutritional compositions, total phenolic contents, and antioxidant activities varied among the different types of vegetables. The correlations among lipid, protein, fiber, total soluble solid (TSSs), total titratable acidity (TTA), and salinity as potential biomarkers in fermented vegetable products were examined. The results suggest that traditionally fermented Thai vegetable products significantly impacted food research by enhancing the quality and preserving the authenticity of traditionally fermented Thai vegetables.
Measuring Social Sustainability in the Italian Agri-Food Sector: Proposed Key Performance Indicators
Authors: Briamonte Lucia , Pergamo Raffaella , Salerno Chiara , Uliano Anna , Nazzaro Concetta
Published: September 2024

The social dimension of sustainability in the agri-food sector is gaining more and more attention from both scholars and policymakers. In Europe, among different countries, Italy stood out for the active role played in including social conditionality in the Common Agricultural Policy. Despite such interest, there is still confusion concerning the concept of social sustainability, and tools aimed at measuring the social performance of farms are still lacking. The current study aims to identify indicators to measure the social sustainability of farm practices in the Italian agri-food system. The methodology included an analysis of the most relevant literature, legislation, and guidelines to identify five macro-areas of interest, which served as the foundation for developing theoretical social sustainability key performance indicators. The results of this study provide useful insights for both practitioners and policymakers to develop strategies and policies focused on social sustainability.
Impact of Ultrasound Pre-Treatment on the Drying Kinetics and Quality of Chicken Breast—A Comparative Study of Convective and Freeze-Drying Methods
Authors: Szymanska Iwona , Matys Aleksandra , Rybak Katarzyna , Karwacka Magdalena , Witrowa-Rajchert Dorota , Nowacka Malgorzata
Published: September 2024

Fresh meat has a limited shelf life and is prone to spoilage. Drying serves as a common method for food preservation. Non-thermal techniques such as ultrasound treatment (US) can positively affect the drying processes and alter the final product. The study aimed to evaluate the impact of US pre-treatment on the hot air (HA) and freeze-drying (FD) of chicken breast meat and the quality of the dried products. US pre-treatment had a varied impact depending on the drying method used. The contact US method extended the HA drying time (about 50%) but improved water removal during FD (about 30%) compared to the untreated samples. Both methods resulted in low water content (<8.3%) and low water activity (<0.44). While rehydration properties (RR) and hygroscopicity (H) were not significantly affected by US pre-treatment in HA drying (about 1.35% and about 1.1, respectively), FD noticed differences due to shrinkage and porosity variations (RR: 2.4–3.2%, H: 1.19–1.25). The HA-dried samples exhibited notably greater tissue shrinkage and a darker surface color than the FD meat. Ultrasonic processing holds substantial potential in creating dried meat products with tailored characteristics. Hence, meticulous consideration of processing methods and parameters is of utmost importance.
Enhanced Sensitivity and Accuracy of Tb3+-Functionalized Zirconium-Based Bimetallic MOF for Visual Detection of Malachite Green in Fish
Authors: Zhou Yue , Jiang Yuanyuan , Chen Xiangyu , Long Hongchen , Zhang Mao , Tang Zili , He Yufang , Zhang Lei , Le Tao
Published: September 2024

The ratiometric fluorescent probe UiO-OH@Tb, a zirconium-based MOF functionalized with Tb3+, was synthesized using a hydrothermal method. This probe employs the fluorescence resonance energy transfer (FRET) mechanism between Tb3+ and malachite green (MG) for the double-inverse signal ratiometric fluorescence detection of MG. The probe’s color shifts from lime green to blue with an increasing concentration of MG. In contrast, the monometallic MOFs’ (UiO-OH) probe shows only blue fluorescence quenching due to the inner filter effect (IFE) after interacting with MG. Additionally, the composite fluorescent probe (UiO-OH@Tb) exhibits superior sensitivity, with a detection limit (LOD) of 0.19 μM, which is significantly lower than that of the monometallic MOFs (25 μM). Moreover, the content of MG can be detected on-site (LOD = 0.94 μM) using the RGB function of smartphones. Hence, the UiO-OH@Tb probe is proven to be an ideal material for MG detection, demonstrating significant practical value in real-world applications.
The Effects of Single- or Mixed-Strain Fermentation of Red Bean Sourdough, with or without Wheat Bran, on Bread Making Performance and Its Potential Health Benefits in Mice Model
Authors: Huang Chengye , Zhang Binle , Huang Jing , Liu Youyi , Chen Cheng , Omedi Jacob Ojobi , Liang Li , Zhou Zhongkai , Huang Weining , Li Ning
Published: September 2024

The effects of single- (Lactobacillus fermentum) or mixed-strain (Lactobacillus fermentum, Kluyveromyces marxianus) fermentation of red bean with or without wheat bran on sourdough bread quality and nutritional aspects were investigated. The results showed that, compared to unfermented controls, the tannins, phytic acid, and trypsin inhibitor levels were significantly reduced, whereas the phytochemical (TPC, TFC, and gallic acid) and soluble dietary fiber were increased in sourdough. Meanwhile, more outstanding changes were obtained in sourdough following a mixed-strain than single-strain fermentation, which might be associated with its corresponding β-glucosidase, feruloyl esterase, and phytase activities. An increased specific volume, reduced crumb firmness, and greater sensory evaluation of bread was achieved after mixed-strain fermentation. Moreover, diets containing sourdough, especially those prepared with mixed-strain-fermented red bean with wheat bran, significantly decreased serum pro-inflammatory cytokines levels, and improved the lipid profile, HDL/LDL ratio, glucose tolerance, and insulin sensitivity of mice. Moreover, gut microbiota diversity increased towards beneficial genera (e.g., Bifidobacterium), accompanied with a greater increase in short-chain fatty acid production in mice fed on sourdough-based bread diets compared to their controls and white bread. In conclusion, mixed-strain fermentation’s synergistic effect on high fiber-legume substrate improved the baking, sensory quality, and prebiotic effect of bread, leading to potential health benefits in mice.
A Craniometric Analysis of the Subfamily Cervinae (Cervidae, Mammalia)
Authors: Croitor Roman
Published: September 2024

This study employs Principal Component Analysis to examine cranial measurements from both extant and fossil specimens spanning 38 species and comprising over 300 individuals within the subfamily Cervinae. Our findings elucidate craniometric distinctions among cervids characterized by varying body sizes and certain evolutionary adaptations. While our results generally corroborate previous assertions regarding the limited craniometric variability among plesiometacarpal deer, they also unveil specific cranial adaptations within certain genera and species. The Principal Component Analysis of craniometric data revealed that giant and large-sized deer display significantly broader ecomorphological diversity in cranial shape compared to small-sized deer. Secondly, small-sized deer exhibit greater uniformity in their cranial shape, appearing densely clustered on the factorial map. Thus, we conclude that body size imposes ecological constraints, limiting the available niches due to eco-physiological factors. This study demonstrates that endemic insular deer do not evolve consistent craniometric features attributable to insular isolation, while the cranial proportions of medium-to-small-sized deer delineate a ubiquitous morphological archetype characteristic of numerous cervid taxa spanning diverse phylogenetic lineages and sharing comparable body sizes. This group of “Dama-like” deer, characterized by similar body size, metabolic rates, ecological needs, and cranial morphometry, is referred to here as the fundamental eco-physiological type, typical of warm regions within the Palearctic and Oriental biogeographic realms.
Cannabinoids from C. sativa L.: Systematic Review on Potential Pharmacological Effects against Infectious Diseases Downstream and Multidrug-Resistant Pathogens
Authors: Ribeiro Adriana , Alsayyed Rahaf , Oliveira Daniele , Loureiro Rui , Cabral-Marques Helena
Published: September 2024

Cannabis sativa L. has garnered attention as a potential source for new antimicrobial agents, particularly due to the increased prevalence of microbial resistance to conventional antimicrobials and the emergence of multidrug-resistant pathogens. This review, conducted according to the PRISMA 2020 statement, systematically analyzed the antimicrobial properties of C. sativa extracts and cannabinoids against various bacteria, fungi, viruses, and parasites. Data were collected from the scientific literature (102 papers) and clinical trials (5 studies) from 2014 to June 2024. Findings revealed that cannabinoids, especially CBD, demonstrate significant antimicrobial activity against Gram-positive bacteria like MRSA, Gram-negative bacteria such as Pseudomonas aeruginosa, various Candida species, SARS-CoV-2, and HIV. Additionally, CBD showed efficacy against parasitic infections like Echinococcus granulosus and Leishmania species. These results suggest that cannabinoids may represent a new class of antimicrobial agents with unique and diverse mechanisms of action, potentially effective in broad-spectrum therapies. This study highlights the urgent need for further research and standardized clinical trials to validate these findings and to develop cannabinoid-based treatments. The antimicrobial properties of C. sativa align with WHO priorities and support global health initiatives, offering promising avenues for addressing antimicrobial resistance and improving public health outcomes.
A Simulated Annealing Approach to the Scheduling of Battery-Electric Bus Charging
Authors: Brown Alexander , Droge Greg
Published: September 2024

With an increasing adoption of battery-electric bus (BEB) fleets, developing a reliable charging schedule is vital to a successful migration from their fossil fuel counterparts. In this paper, a simulated annealing (SA) implementation is developed for a charge scheduling framework for a fixed-schedule fleet of BEBs that utilizes a proportional battery dynamics model, accounts for multiple charger types, allows partial charging, and further considers the total energy consumed by the schedule as well as peak power use. Two generation mechanisms are implemented for the SA algorithm, denoted as the “quick” and “heuristic” implementations, respectively. The model validity is demonstrated by utilizing a set of routes sampled from the Utah Transit Authority (UTA) and comparing the results against two other models: the BPAP and the Qin-Modified. The results presented show that both SA techniques offer a means of generating operationally feasible schedules quickly while minimizing the cost of operation and considering battery health.
Negotiating University, Fulfilling the Dream: The Case of Black Students
Authors: James Carl E. , Asres Michael
Published: September 2024

The experiences of Black students in Canadian higher education shed light on the societal and institutional challenges that influence their social and economic aspirations. In today’s societal and economic context, obtaining a postsecondary education degree is not just preferred but essential for securing the employment opportunities that most young people desire. For Black communities in particular, a university degree is often seen as the primary pathway to upward social mobility. However, Black students’ journeys toward higher education are frequently hindered by systemic barriers and institutional challenges. While there is extensive literature detailing the systemic forces that obstruct access to higher education for Black Canadians, there is limited academic focus on how these forces continue to affect Black students once they enter higher education. This article addresses this gap by investigating the educational experiences of Black students in Canadian universities, emphasizing the challenges posed by systemic racism and institutional barriers. Utilizing data from interviews and focus groups with Black undergraduate and graduate students from a university in the Greater Toronto Area (GTA), the study explores how historical and contemporary issues of anti-Black racism shape their academic journeys. It discusses the broader implications of these experiences and highlights the need for comprehensive institutional reforms to create genuinely inclusive and equitable educational environments. By centering the voices of Black students, this research aims to contribute to the ongoing dialog on racial equity in higher education.
Measuring Data Quality from Building Registers: A Case Study in Italy
Authors: Salvucci Gianluigi , Scarpitta Donato , Maialetti Marco , Rontos Kostas , Bigiotti Stefano , Sateriano Adele , Muolo Alessandro
Published: September 2024

Geographic data quality is a complex issue requiring continuous operational improvements. Considering this to be one of the most topical research and technical issues in official statistics and environmental monitoring, this study re-connects the operational dimension of ‘geographic data quality’ with the broader issue of monitoring the quality of official statistics. By estimating the accuracy of public (spatially explicit) data, this study illustrates an operational framework with an exploratory exercise in estimating the geographic data quality characteristic of a specific information source within the official statistical system (i.e., building registry) in a given European country, namely, Italy. The results of this exercise provide a paradigmatic example of profound innovation in the activities of statistical services in Europe and specifically the Italian National Statistical Institute (Istat), transitioning from independent (and poorly connected) field surveys to an integrated system of registries. Since several studies are based on spatially explicit survey units, it is essential to estimate the quality of geographical data, especially those derived from information sources where space is topical information, such as (local, regional, or national) building registers. Thanks to the results of an empirical exercise applied to Italian building registers, the present article will discuss the issue of data accuracy, considered the main issue related to monitoring geographic data quality, from an official statistics’ perspective. Statistical indicators will be proposed for the assessment of systematic and random errors of spatially explicit measures, possibly enabling a quali-quantitative improvement in the semantic content of building registers that address the inherent requirements of official statistics. Such indicators have some positive implications for the entire system of official statistics in Italy and, for generalization, within the European Statistical System.
Three-Dimensional Spectral Element Method Implementation for Evaluating Rooted Soil Behavior in Slope Stability Analysis
Authors: Tiwari Ram Chandra , Bhandary Netra Prakash
Published: September 2024

Bioengineering techniques are being increasingly adopted as a sustainable solution to soil slope instability. Despite their recognized benefits, however, the mechanistic contribution of vegetation to slope stability remains inadequately understood due to the intricate nature of soil–root interactions and the complexity of root architectures. Most existing research predominantly offers qualitative assessments of vegetation effectiveness. This study aims to numerically substantiate the role of vegetation as a bioengineering technique for soil slope stabilization. Various plant species used commonly for soil stabilization were identified, and undisturbed soil samples were collected to quantify the shear strength parameters of the soils from both barren and vegetated slopes, along with root tensile strengths. A comprehensive topographic survey was conducted to capture the precise topography of the study area. Utilizing these primary data, in this work we develop 3D models for five representative plants within each species category and employ the Spectral Element Method (SEM), an advanced higher-order formulation of the finite element method (FEM), within the 3D domain to evaluate the factor of safety for the soil slopes. The SEM offers superior accuracy and stability in numerical computations. The results obtained through the SEM were corroborated through the FEM modeling and were found to be consistent with other established methodologies. This innovative approach of 3D SEM aims to quantitatively assess the impact of vegetation on soil slope stability and provide a more rigorous understanding of bioengineering applications in geotechnical engineering.
Horizontal Test Stand for Bone Screw Insertion
Authors: Wilkie Jack , Rauter Georg , Möller Knut
Published: September 2024

Screws are a versatile method of fixation and are often used in orthopaedic surgery. Various specialised geometries are often used for bone screws to optimise their fixation strengths in limited spaces at the expense of manufacturing costs. Additionally, ongoing research is looking to develop systems/models to automatically optimise bone screw tightening torques. For both applications, it is desirable to have a test rig for inserting screws in a regulated, instrumented, and repeatable manner. This work presents such a test rig primarily used for the validation of optimal torque models; however, other applications like the above are easily foreseeable. Key features include controllable insertion velocity profiles, and a high rate measurement of screw torque, angular displacement, and linear displacement. The test rig is constructed from mostly inexpensive components, with the primary costs being the rotational torque sensor (approx. 2000 €), and the remainder being approximately 1000 €. This is in comparison to a biaxial universal testing machine which may exceed 100,000 €. Additionally, the firmware and interface software are designed to be easily extendable. The angular velocity profiling and linear measurement repeatability of the test rig is tested and the torque readings are compared to an off-the-shelf static torque sensor.
Information Support or Emotional Support? Social Support in Online Health Information Seeking among Chinese Older Adults
Authors: Zhu Xiaowen , Li Chang
Published: September 2024

Online Health Information Seeking (OHIS) serves as an alternative form of social capital that can help older adults alleviate offline medical-related stress. This study collected and analyzed user interaction data from Patient-to-Doctor and Patient-to-Peer platforms and compared the roles of social support between them. Significant differences were identified in the dimensions of social support (information, emotional, and companion) on the Patient-to-Peer platforms compared with Patient-to-Doctor platforms (p < 0.05). The overall and core–core network density values for social support on Patient-to-Peer platforms were higher than those on Patient-to-Doctor platforms. Patient-to-Doctor interactions focused on information support, displaying a more centralized and efficient network with structural holes pertaining to treatment effects. By contrast, Patient-to-Peer interactions provided more emotional support, with a dispersed and redundant network containing structural holes related to individual information. Companion support was found to be weaker on both platforms. Additionally, digital literacy, surrogate seeking, and altruistic information significantly explained the variances between the two platforms (p < 0.01), with surrogate seeking playing a crucial role. These findings enhance our understanding of OHIS disparities among older adults and their surrogates, offering valuable insights for developing effective support systems and regulatory frameworks for health information platforms.
Physical Exercise Prevents the Cognitive Decline among Older Adults in Romania
Authors: Ciobica Andrei , Dobrin Romeo , Iordache Alin , Mavroudis Ioannis , Honceriu Cezar , Petroaie Antoneta Dacia , Bild Veronica , Vasincu Alexandru , Rusu Răzvan-Nicolae , Ciobica Alin , Bild Walther
Published: September 2024

Cognitive decline is one of the most important challenges related to the aging process, due to its important impact on individuals. Several studies have reported that physical exercise with a specific intensity and frequency is beneficial for maintaining cognitive health in the ageing population. The present study investigated the impact of general physical exercise on cognitive health in the older population in Romania. The study involved 60 individuals (60% male, 40% female), with a mean age of 60.78 years (SD = 2.97). The Health Interview Survey and The Minnesota Heart Survey assessed exercise frequency and intensity, while the Montreal Cognitive Assessment (MoCA) determined mild cognitive impairment (MCI) levels. The results of the statistical analysis showed that high-intensity physical exercise at a frequency of three to four times a week at the age of 40–50 years is recommended in order to significantly reduce cognitive decline. In addition, for the age of 60 years old, the results established that engaging in physical activities of a moderate intensity with a frequency of 2–3 times per month is sufficient to maintain healthy cognition. The findings suggest that exercise can serve as a behavioral intervention to mitigate cognitive dysfunction and complement past research on its cognitive health advantages.
Genomic Organization and Expression Profiling of GOLDEN2-like Transcription Factor Genes in Eggplant and Their Role in Heat Stresses
Authors: Yu Chuying , Xiang Rui , Jiang Yaqin , Li Weiliu , Yang Qihong , Gan Guiyun , Cai Liangyu , Wang Peng , Li Wenjia , Wang Yikui
Published: September 2024

GOLDEN2-like (GLK) transcription factor genes are involved in chloroplast biogenesis during all stages of plant growth and development, as well as in the response to biotic and abiotic stresses. However, little is known about this transcription factor family in eggplant. In this study, we identified 54 GLK genes in the eggplant genome (S. melongena L.) and classified them into seven groups (G1–G7). Structural analysis illustrated that the SmGLK proteins of specific groups are relatively conserved. Cis-acting elements indicated that these genes are likely to be involved in multiple responses stimulated by light, phytohormones, and abiotic stress. Collinear analysis indicated that expansion of the SmGLK gene family primarily occurred through segmental duplication. Tissue-specific expression analysis revealed that SmGLKs were preferentially expressed in leaves, fruits, and seeds. Further screening of SmGLK genes revealed their differential expression under various treatments. Notably, SmGLK18 was significantly responsive to multiple phytohormones and stress treatments, whereas SmGLK3 and SmGLK12 were highly induced by ABA, IAA, SA, and drought treatments. Our study provides new information on the eggplant GLK family systematically and comprehensively. For the first time, we propose that SmGLK18 may play a key role in improving heat resistance. This study provides valuable candidate gene resources for further functional research and will benefit eggplant molecular breeding.
Does Applying Subsampling in Quantile Mapping Affect the Climate Change Signal?
Authors: Reiter Philipp , Casper Markus C.
Published: September 2024

Bias in regional climate model (RCM) data makes bias correction (BC) a necessary pre-processing step in climate change impact studies. Among a variety of different BC methods, quantile mapping (QM) is a popular and powerful BC method. Studies have shown that QM may be vulnerable to reductions in calibration sample size. The question is whether this also affects the climate change signal (CCS) of the RCM data. We applied four different QM methods without subsampling and with three different subsampling timescales to an ensemble of seven climate projections. BC generally improved the RCM data relative to observations. However, the CCS was significantly modified by the BC for certain combinations of QM method and subsampling timescale. In conclusion, QM improves the RCM data that are fundamental for climate change impact studies, but the optimal subsampling timescale strongly depends on the chosen QM method.
Identification of a Clade-Specific HLA-C*03:02 CTL Epitope GY9 Derived from the HIV-1 p17 Matrix Protein
Authors: Kyobe Samuel , Mwesigwa Savannah , Nkurunungi Gyaviira , Retshabile Gaone , Egesa Moses , Katagirya Eric , Amujal Marion , Mlotshwa Busisiwe C. , Williams Lesedi , Sendagire Hakim ,   on behalf of the CAfGEN Consortium, Kiragga Dithan , Mardon Graeme , Matshaba Mogomotsi , Hanchard Neil A. , Kyosiimire-Lugemwa Jacqueline , Robinson David
Published: September 2024

Efforts towards an effective HIV-1 vaccine have remained mainly unsuccessful. There is increasing evidence for a potential role of HLA-C-restricted CD8+ T cell responses in HIV-1 control, including our recent report of HLA-C*03:02 among African children. However, there are no documented optimal HIV-1 CD8+ T cell epitopes restricted by HLA-C*03:02; additionally, the structural influence of HLA-C*03:02 on epitope binding is undetermined. Immunoinformatics approaches provide a fast and inexpensive method to discover HLA-restricted epitopes. Here, we employed immunopeptidomics to identify HLA-C*03:02 CD8+ T cell epitopes. We identified a clade-specific Gag-derived GY9 (GTEELRSLY) HIV-1 p17 matrix epitope potentially restricted to HLA-C*03:02. Residues E62, T142, and E151 in the HLA-C*03:02 binding groove and positions p3, p6, and p9 on the GY9 epitope are crucial in shaping and stabilizing the epitope binding. Our findings support the growing evidence of the contribution of HLA-C molecules to HIV-1 control and provide a prospect for vaccine strategies.
Exploring the Roles of the Swi2/Snf2 Gene Family in Maize Abiotic Stress Responses
Authors: Han Jiarui , Wang Qi , Qian Buxuan , Liu Qing , Wang Ziyu , Liu Yang , Chen Ziqi , Wu Weilin , Zhang Chuang , Yin Yuejia
Published: September 2024

The maize Snf2 gene family plays a crucial role in chromatin remodeling and response to environmental stresses. In this study, we identified and analyzed 35 members of the maize Snf2 gene family (ZmCHR1 to ZmCHR35) using the Ensembl Plants database. Each protein contained conserved SNF2-N and Helicase-C domains. Phylogenetic analysis revealed six groups among the Snf2 proteins, with an uneven distribution across subfamilies. Physicochemical analysis indicated that the Snf2 proteins are hydrophilic, with varied amino acid lengths, isoelectric points, and molecular weights, and are predominantly localized in the nucleus. Chromosomal mapping showed that these genes are distributed across all ten maize chromosomes. Gene structure analysis revealed diverse exon–intron arrangements, while motif analysis identified 20 conserved motifs. Collinearity analysis highlighted gene duplication events, suggesting purifying selection. Cis-regulatory element analysis suggested involvement in abiotic and biotic stress responses. Expression analysis indicated tissue-specific expression patterns and differential expression under various stress conditions. Specifically, qRT-PCR validation under drought stress showed that certain Snf2 genes were upregulated at 12 h and downregulated at 24 h, revealing potential roles in drought tolerance. These findings provide a foundation for further exploration of the functional roles of the maize Snf2 gene family in development and stress responses.
The Role of 11-Oxygenated Androgens and Endocrine Disruptors in Androgen Excess Disorders in Women
Authors: Vitku Jana , Varausova Anezka , Skodova Tereza , Kolatorova Lucie , Vosatkova Michala , Vcelak Josef , Vrbikova Jana , Simkova Marketa , Svojtkova Michaela
Published: September 2024

Polycystic ovary syndrome (PCOS) and idiopathic hirsutism (IH) are androgen excess disorders requiring the determination of classic androgen levels for diagnosis. 11-oxygenated androgens have high androgenic potential, yet their clinical value in those disorders is not clear. Additionally, the role of endocrine disruptors (EDs), particularly in IH, remains understudied. We analyzed 25 steroids and 18 EDs in plasma samples from women with IH, PCOS, and controls using LC-MS/MS. Cytokine levels and metabolic parameters were assessed. Comparisons included non-obese women with PCOS (n = 10), women with IH (n = 12) and controls (n = 20), and non-obese versus obese women with PCOS (n = 9). Higher levels of 11-oxygenated androgens were observed in women with PCOS compared to those with IH, but not controls. Conversely, 11-oxygenated androgen levels were lower in women with IH compared to controls. Cytokine levels did not differ between women with IH and controls. Bisphenol A (BPA) levels were higher in obese women with PCOS compared to non-obese women with PCOS. Bisphenol S occurrence was higher in women with PCOS (90%) compared to controls (65%) and IH (50%). Significant correlations were found between androgens (11-ketotestosterone, androstenedione, testosterone) and insulin and HOMA-IR, as well as between immunomodulatory 7-oxygenated metabolites of DHEA and nine interleukins. Our data confirms that PCOS is a multiendocrine gland disorder. Higher BPA levels in obese women might exacerbate metabolic abnormalities. IH was not confirmed as an inflammatory state, and no differences in BPA levels suggest BPA does not play a role in IH pathogenesis.
Cell Death: Mechanisms and Potential Targets in Breast Cancer Therapy
Authors: Qian Jiangying , Zhao Linna , Xu Ling , Zhao Jin , Tang Yongxu , Yu Min , Lin Jie , Ding Lei , Cui Qinghua
Published: September 2024

Breast cancer (BC) has become the most life-threatening cancer to women worldwide, with multiple subtypes, poor prognosis, and rising mortality. The molecular heterogeneity of BC limits the efficacy and represents challenges for existing therapies, mainly due to the unpredictable clinical response, the reason for which probably lies in the interactions and alterations of diverse cell death pathways. However, most studies and drugs have focused on a single type of cell death, while the therapeutic opportunities related to other cell death pathways are often neglected. Therefore, it is critical to identify the predominant type of cell death, the transition to different cell death patterns during treatment, and the underlying regulatory mechanisms in BC. In this review, we summarize the characteristics of various forms of cell death, including PANoptosis (pyroptosis, apoptosis, necroptosis), autophagy, ferroptosis, and cuproptosis, and discuss their triggers and signaling cascades in BC, which may provide a reference for future pathogenesis research and allow for the development of novel targeted therapeutics in BC.
Childhood Cardiovascular Health, Obesity, and Some Related Disorders: Insights into Chronic Inflammation and Oxidative Stress
Authors: Hertiš Petek Tjaša , Marčun Varda Nataša
Published: September 2024

Childhood obesity and associated metabolic abnormalities have become pressing public health concerns worldwide, significantly impacting cardiovascular health. Metabolic syndrome, characterized by a cluster of metabolic abnormalities including central obesity, altered glucose metabolism, dyslipidemia, and arterial hypertension, has emerged as a critical precursor to cardiovascular disease. Chronic systemic inflammation and oxidative stress seem to play pivotal roles in the pathogenesis of childhood obesity-related disorders such as early atherosclerosis. A significant distinction between the objective components of cardiovascular health metrics, including body mass index, blood pressure, cholesterol, and fasting glucose levels, and the definition of metabolic syndrome is evident in the identification of obesity. Whereas cardiovascular health metrics predominantly rely on body mass index percentiles to assess obesity, metabolic syndrome criteria prioritize waist circumference, specifically targeting individuals with a measurement ≥90th percentile. This discrepancy emphasizes the need for a nuanced approach in assessing the risks associated with obesity and underscores the importance of considering multiple factors when evaluating cardiovascular risk in children. By recognizing the complex interplay between various health metrics, obesity and metabolic syndrome criteria, clinicians can more accurately identify individuals at risk and tailor interventions accordingly to mitigate cardiovascular disease in children with obesity.
Special Issue “The Role of Toll-Like Receptors (TLRs) in Infection and Inflammation 2.0”
Authors: Kircheis Ralf , Planz Oliver
Published: September 2024

Toll-like receptors (TLRs) are key players in the innate immune system, in host’ first-line defense against pathogens [...]
L-Fucose-Rich Sulfated Glycans from Edible Brown Seaweed: A Promising Functional Food for Obesity and Energy Expenditure Improvement
Authors: Hyun Jimin , Lee Hyo-Geun , Je Jun-Geon , Choi Yun-Sang , Song Kyung-Mo , Kim Tae-Kyung , Ryu Bomi , Kang Min-Cheol , Jeon You-Jin
Published: September 2024

The global obesity epidemic, exacerbated by the sedentary lifestyle fostered by the COVID-19 pandemic, presents a growing socioeconomic burden due to decreased physical activity and increased morbidity. Current obesity treatments show promise, but they often come with expensive medications, frequent injections, and potential side effects, with limited success in improving obesity through increased energy expenditure. This study explores the potential of a refined sulfated polysaccharide (SPSL), derived from the brown seaweed Scytosiphon lomentaria (SL), as a safe and effective anti-obesity treatment by promoting energy expenditure. Chemical characterization revealed that SPSL, rich in sulfate and L-fucose content, comprises nine distinct sulfated glycan structures. In vitro analysis demonstrated potent anti-lipogenic properties in adipocytes, mediated by the downregulation of key adipogenic modulators, including 5′ adenosine monophosphate-activated protein kinase (AMPK) and peroxisome proliferator-activated receptor γ (PPARγ) pathways. Inhibiting AMPK attenuated the anti-adipogenic effects of SPSL, confirming its involvement in the mechanism of action. Furthermore, in vivo studies using zebrafish models showed that SPSL increased energy expenditure and reduced lipid accumulation. These findings collectively highlight the therapeutic potential of SPSL as a functional food ingredient for mitigating obesity-related metabolic dysregulation by promoting energy expenditure. Further mechanistic and preclinical investigations are warranted to fully elucidate its mode of action and evaluate its efficacy in obesity management, potentially offering a novel, natural therapeutic avenue for this global health concern.
Understanding Telehealth Adoption among the Elderly: An Empirical Investigation
Authors: Tandon Urvashi , Ertz Myriam , Sajid Muhammed , Kordi Mehrdad
Published: September 2024

The adoption of telemedicine among the elderly is vital due to their unique healthcare needs and growing engagement with technology. This study explores the factors influencing their adoption behaviors, identifying both facilitating and inhibiting elements. While previous research has examined these factors, few have empirically assessed the simultaneous influence of barriers and enablers using a sample of elderly individuals. Using behavioral reasoning theory (BRT), this research investigates telehealth adoption behaviors of the elderly in India. A conceptual model incorporates both “reasons for” and “reasons against” adopting telehealth, capturing the nuanced dynamics of adoption behaviors. Data from 375 elderly individuals were collected to validate the model through structural equation modeling. The findings reveal that openness to change significantly enhances attitudes towards telehealth and “reasons for” adoption, influencing behaviors. This research contributes to the healthcare ecosystem by improving the understanding of telehealth adoption among the elderly. It validates the impact of openness to change alongside reasons for and against adoption, refining the understanding of behavior. By addressing impediments and leveraging facilitators, this study suggests strategies to maximize telehealth usage among the elderly, particularly those who are isolated, improving their access to medical services.
Machine Learning Prediction of a Battery’s Thermal-Related Health Factor in a Battery Electric Vehicle Using Real-World Driving Data
Authors: Sukkam Natthida , Katongtung Tossapon , Suttakul Pana , Mona Yuttana , Achariyaviriya Witsarut , Tippayawong Korrakot Yaibuathet , Tippayawong Nakorn
Published: September 2024

Electric vehicles (EVs) are alternatives to traditional combustion engine-powered vehicles. This work focuses on a thermal management system for battery EVs using liquid cooling and a machine learning (ML) model to predict their thermal-related health. Real-world data of EV operation, battery and cooling conditions were collected. Key influencing factors on the thermal-related health of batteries were identified. The ML model’s effectiveness was evaluated against experimental test data. The ML model proved effective in predicting and analyzing battery thermal health, suggesting its potential for use with the thermal management system.
Effect of Flowering Period on Drone Reproductive Parameters (Apis mellifera L.)
Authors: Castellanos-Zacarías Carlos , Domínguez-Rebolledo Álvaro , Loeza-Concha Henry , Vivas-Rodríguez Jorge , Ramón-Ugalde Julio , Baeza-Rodríguez Juan , Zamora-Bustillos Roberto
Published: September 2024

Insufficient protein intake during the larval phase of drones affects the development of reproductive organs and spermatogenesis. The aim of the study was to evaluate the effect of the flowering-scarcity and flowering-onset periods on the eversion of the copulatory apparatus, ejaculation, and sperm quality of drones (Apis mellifera L.). To stimulate the laying of drone eggs during the flowering-scarcity period, 1 L of sugar syrup was supplied weekly to the hives, along with a protein supplement made of 20% pollen and 80% brewer’s yeast. During the periods of flowering scarcity and the onset of flowering, 800 drones were collected (200 per month). At the onset of flowering, 270 drones showed eversion of the copulatory apparatus, of which 162 ejaculated, compared to the flowering-scarcity period, where 112 drones showed eversion of the copulatory apparatus and 39 drones ejaculated. During the period of flowering onset, sperm parameters such as volume, concentration, motility, viability, acrosome integrity, and mitochondrial activity were higher compared to the period of flowering scarcity. In conclusion, we observed a greater number of drones with eversion of the copulatory apparatus and ejaculation, as well as better sperm quality with the drones bred during the period of flowering onset. These differences indicate that the flowering-scarcity period significantly impacts the reproductive parameters of drones.