bluuebunny/crossref_metadata_2025 huggingface dataset:
A Decentralized Digital Watermarking Framework for Secure and Auditable Video Data in Smart Vehicular Networks
Authors: Liu Xinyun , Xu Ronghua , Chen Yu
Published: October 2024

Thanks to the rapid advancements in Connected and Automated Vehicles (CAVs) and vehicular communication technologies, the concept of the Internet of Vehicles (IoVs) combined with Artificial Intelligence (AI) and big data promotes the vision of an Intelligent Transportation System (ITS). An ITS is critical in enhancing road safety, traffic efficiency, and the overall driving experience by enabling a comprehensive data exchange platform. However, the open and dynamic nature of IoV networks brings significant performance and security challenges to IoV data acquisition, storage, and usage. To comprehensively tackle these challenges, this paper proposes a Decentralized Digital Watermarking framework for smart Vehicular networks (D2WaVe). D2WaVe consists of two core components: FIAE-GAN, a novel feature-integrated and attention-enhanced robust image watermarking model based on a Generative Adversarial Network (GAN), and BloVA, a Blockchain-based Video frames Authentication scheme. By leveraging an encoder–noise–decoder framework, trained FIAE-GAN watermarking models can achieve the invisibility and robustness of watermarks that can be embedded in video frames to verify the authenticity of video data. BloVA ensures the integrity and auditability of IoV data in the storing and sharing stages. Experimental results based on a proof-of-concept prototype implementation validate the feasibility and effectiveness of our D2WaVe scheme for securing and auditing video data exchange in smart vehicular networks.
Empowering Healthcare: TinyML for Precise Lung Disease Classification
Authors: Abadade Youssef , Benamar Nabil , Bagaa Miloud , Chaoui Habiba
Published: October 2024

Respiratory diseases such as asthma pose significant global health challenges, necessitating efficient and accessible diagnostic methods. The traditional stethoscope is widely used as a non-invasive and patient-friendly tool for diagnosing respiratory conditions through lung auscultation. However, it has limitations, such as a lack of recording functionality, dependence on the expertise and judgment of physicians, and the absence of noise-filtering capabilities. To overcome these limitations, digital stethoscopes have been developed to digitize and record lung sounds. Recently, there has been growing interest in the automated analysis of lung sounds using Deep Learning (DL). Nevertheless, the execution of large DL models in the cloud often leads to latency, dependency on internet connectivity, and potential privacy issues due to the transmission of sensitive health data. To address these challenges, we developed Tiny Machine Learning (TinyML) models for the real-time detection of respiratory conditions by using lung sound recordings, deployable on low-power, cost-effective devices like digital stethoscopes. We trained three machine learning models—a custom CNN, an Edge Impulse CNN, and a custom LSTM—on a publicly available lung sound dataset. Our data preprocessing included bandpass filtering and feature extraction through Mel-Frequency Cepstral Coefficients (MFCCs). We applied quantization techniques to ensure model efficiency. The custom CNN model achieved the highest performance, with 96% accuracy and 97% precision, recall, and F1-scores, while maintaining moderate resource usage. These findings highlight the potential of TinyML to provide accessible, reliable, and real-time diagnostic tools, particularly in remote and underserved areas, demonstrating the transformative impact of integrating advanced AI algorithms into portable medical devices. This advancement facilitates the prospect of automated respiratory health screening using lung sounds.
Particulate Matter Production from Prescribed Burns in the Chicagoland Area
Authors: Petralia Katherine , Potosnak Mark
Published: October 2024

Prescribed burns are a land management tool currently used to aid in fire mitigation and to promote desired plant species and reduce undesired species, which are often invasive species. Currently, there is a public stigma surrounding the negative effects of prescribed burns, which impacts their use near residential areas. There are also particular challenges of conducting prescribed burns in urban and suburban areas. A better understanding of these relatively small-scale prescribed burns and their impact on atmospheric chemistry and air quality can allow for better communication with the public about their positive impacts, as well as for the acknowledgement and quantification of their drawbacks. This study considers the particulate matter concentrations proximate to prescribed fires being conducted in the greater Chicago metropolitan area. We deployed low-cost sensors in the spring and fall of 2022 at four sites. Concentrations of particulate matter exceeded accepted human health exposure limits at locations that burn crews would experience, but levels quickly returned to baseline after the high-intensity phase of the burn. With the ever-expanding wildland–urban interface and increased efforts in ecological restoration, understanding the particulate matter emissions of prescribed fires conducted near populated areas can provide more data regarding air quality impacts. These impacts should be weighed against the ecological benefits of prescribed burns and potential air quality impacts from uncontrolled burns from ecosystems that are not treated with prescribed burns. Measuring air quality impacts can also inform fire management practices with the goal of reducing future emissions. With the very present effects of climate change, understanding baselines regarding prescribed fires can better equip future research and fire professionals in fighting fire with fire.
Fishes in Warming Waters, the Gill-Oxygen Limitation Theory and the Debate Around Mechanistic Growth Models
Authors: Müller Johannes , Pauly Daniel
Published: October 2024

Mechanistic explanations of the impact of climate change on fish growth are currently under debate. However, critical assessments of even the most prominent theories are not always based on accurate interpretations of their underlying mechanistic models. This contribution addresses some of the major misunderstandings still causing the Gill-Oxygen Limitation Theory (GOLT) from being examined based on its actual structuring elements and assumptions, rather than erroneous perceptions. As we argue, recent critiques of the GOLT are based on implausible interpretations of respirometry data that are invoked to distinguish maintenance costs and overhead costs of growth. Discussing the current state of the debate, we emphasize the fact that fasting young and, thus, growing fish for short periods of time is not sufficient to suppress energy (i.e., oxygen) allocation to growth. In the process of dealing with these issues, several cases of apparent ‘counter-evidence’ are discussed. Highlighting the need to base critical discussions and examinations of the GOLT on its actual predictions, we recommend that testing the theory should focus on broad reviews or meta-analyses, e.g., on datasets of gill surface area and the relationship of these data to growth performance under different temperature regimes.
A Critical Assessment of the Process and Logic Behind Fish Production in Marine Recirculating Aquaculture Systems
Authors: Waller Uwe
Published: October 2024

A recirculating aquaculture system (RAS) represents a forward-looking form of aquaculture. A RAS consists of fish tanks and water treatment processes in a closed loop to sustain the environmental conditions for fish production. However, the rapid industrialization of the technology is fraught with transfer problems. This review justifies a RAS process chain based on fish biology. The underlying concept has been evaluated by the author in experimental and commercial RAS projects. The core idea is that the fish must be considered as a technical subcomponent in a RAS, determining the technology. Fish, when considered as small biological machines, are still a black box in many ways. However, their basic biology and physiology provide all the knowledge to implement them in a technical setting. The information required to understand this concept is presented and discussed based on current scientific knowledge. The conclusion is that the technology is available but needs to be rigorously implemented. If this were carried out, fish production in RASs would be ecologically sustainable, which is already claimed for RASs but is not always the reality in commercial applications.
Effects of Roller Milling Parameters on Wheat-Flour Damaged Starch: A Comprehensive Passage Analysis and Response-Surface Methodology Optimization
Authors: Bojanić Nemanja , Rakić Dušan , Fišteš Aleksandar
Published: October 2024

Damaged starch typically arises from mechanical damage caused by the action of the roller mills during the wheat flour milling process. The content of resulting damaged starch in the flour significantly influences its characteristics, emphasizing the importance of understanding and controlling the formation of damaged starch for the production of specialized flours. A detailed passage analysis from three different commercial mills revealed that starch damage control is primarily achievable at front passages of the sizing and reduction system, which generate the majority of the flour release in the mill. Also, it revealed that damaged starch content increases progressively from the initial to the final passages during milling in the break, sizing and reduction system. To investigate the effects of milling parameters on damaged starch, flour yield, and energy consumption, a three-level and three-variable Box–Behnken experimental design with response surface methodology was applied. As independent variables roll gap (0.05–0.35 mm), feed rate (0.15–0.35 kg/cm min), and fast roll speed (400–800 rpm) were employed. The obtained models were utilized to optimize milling conditions for producing flours with special characteristics.
Variations of Major Flavonoids, Nutritional Components, and Antioxidant Activities in Mung Beans (Vigna radiate L.) of Different Seed Weights
Authors: Desta Kebede Taye , Choi Yu-Mi , Yi Jungyoon , Shin Myoung-Jae , Jeon Young-ah , Yoon Hyemyeong
Published: October 2024

This study examined the levels of major flavonoids, nutritional components, total secondary metabolite contents, and antioxidant activities in 136 mung bean accessions and statistically analyzed the effect of seed weight difference on each. Vitexin and isovitexin were detected in all the mung bean accessions, with isovitexin being in a higher concentration regardless of seed weight difference. The contents of total protein and total starch were in the ranges of 22.01–28.96 and 32.62–49.03 g/100 g, respectively. Five fatty acids were detected by GC–FID analysis in all mung bean accessions, with linoleic acid being the most dominant (37.96–50.71 g/100 g). Total saponin content (TSC), total phenol content (TPC), DPPH• scavenging activity, ABTS•+ scavenging activity, and ferric reducing antioxidant power (FRAP) showed more than five-fold differences. Analysis of variance supported by multivariate analysis demonstrated that seed weight difference had a significant effect on total starch, all individual fatty acids except for stearic acid and oleic acid, TSC, and all antioxidant activities except for ABTS•+ scavenging activity. On the other hand, vitexin, isovitexin, total protein, total phenol, and total fatty acid contents remained unaffected by seed weight difference. Overall, this study showed the diversity of key flavonoids, nutritional components, total secondary metabolite contents, and antioxidant activities in mung bean genetic materials. Moreover, the study unveiled how seed weight affects the analyzed parameters in mung beans for the first time. These findings could maximize the use of mung beans in food industries and breeding programs as well as lead to more studies in metabolomics and genomics.
Overview of Phytochemical Composition of Brassica oleraceae var. capitata Cultivars
Authors: Statilko Olga , Tsiaka Thalia , Sinanoglou Vassilia J. , Strati Irini F.
Published: October 2024

The Brassicaceae family includes a wide range of horticultural crops of economic and traditional importance, consumed either fresh, cooked, or fermented. Cabbage (Brassica oleraceae var. capitata) is one of the most important crops of the family. The present review analyzes the most important phytochemicals present in cabbage, focusing on variation of phytochemical composition between cultivars of B. oleraceae var. capitata f. alba, B. oleraceae var. capitata f. rubra, B. oleraceae var. capitata f. acuta, and B. oleraceae var. capitata f. sabauda. Cabbage form and cultivars significantly affect phytochemical compositions. B. oleraceae var. capitata f. rubra cultivars are generally great sources of phenolic compounds, especially anthocyanins, whereas B. oleraceae var. capitata f. alba cultivars display the highest concentration of glucosinolates; nevertheless, their levels are also dependent on the specific cultivar. B. oleraceae var. capitata f. acuta cultivars may be considered advantageous due to their high glucosinolate content and consistent phytochemical composition. Recognizing the benefits of specific cultivars can be valuable for consumers seeking a healthier lifestyle, as well as for scientists aiming to enhance cultivars through breeding programs or use plants’ extracts to produce high quality pigments and dietary supplements.
Elucidating Bile Acid Tolerance in Saccharomyces cerevisiae: Effects on Sterol Biosynthesis and Transport Protein Expression
Authors: Zheng Miao , Su Qi , Wu Haoqing , Cai Chenggang , Ninh Le Thanh , Cai Haiying
Published: October 2024

The tolerance of Saccharomyces cerevisiae to high concentrations of bile acids is intricately linked to its potential as a probiotic. While the survival of yeast under high concentrations of bile acids has been demonstrated, the specific mechanisms of tolerance remain inadequately elucidated. This study aims to elucidate the tolerance mechanisms of S. cerevisiae CEN.PK2-1C under conditions of elevated bile acid concentrations. Through growth curve analyses and scanning electron microscopy (SEM), we examined the impact of high bile acid concentrations on yeast growth and cellular morphology. Additionally, transcriptomic sequencing and molecular docking analyses were employed to explore differentially expressed genes under high bile acid conditions, with particular emphasis on ATP-binding cassette (ABC) transporters and steroid hormone biosynthesis. Our findings indicate that high concentrations of bile acids induce significant alterations in the sterol synthesis pathway and transporter protein expression in S. cerevisiae. These alterations primarily function to regulate sterol synthesis pathways to maintain cellular structure and sustain growth, while enhanced expression of transport proteins improves tolerance to elevated bile acid levels. This study elucidates the tolerance mechanisms of S. cerevisiae under high bile acid conditions and provides a theoretical foundation for optimizing fermentation processes and process control.
Dynamic Analysis and FPGA Implementation of Fractional-Order Hopfield Networks with Memristive Synapse
Authors: Anzo-Hernández Andrés , Zambrano-Serrano Ernesto , Platas-Garza Miguel Angel , Volos Christos
Published: October 2024

Memristors have become important components in artificial synapses due to their ability to emulate the information transmission and memory functions of biological synapses. Unlike their biological counterparts, which adjust synaptic weights, memristor-based artificial synapses operate by altering conductance or resistance, making them useful for enhancing the processing capacity and storage capabilities of neural networks. When integrated into systems like Hopfield neural networks, memristors enable the study of complex dynamic behaviors, such as chaos and multistability. Moreover, fractional calculus is significant for their ability to model memory effects, enabling more accurate simulations of complex systems. Fractional-order Hopfield networks, in particular, exhibit chaotic and multistable behaviors not found in integer-order models. By combining memristors with fractional-order Hopfield neural networks, these systems offer the possibility of investigating different dynamic phenomena in artificial neural networks. This study investigates the dynamical behavior of a fractional-order Hopfield neural network (HNN) incorporating a memristor with a piecewise segment function in one of its synapses, highlighting the impact of fractional-order derivatives and memristive synapses on the stability, robustness, and dynamic complexity of the system. Using a network of four neurons as a case study, it is demonstrated that the memristive fractional-order HNN exhibits multistability, coexisting chaotic attractors, and coexisting limit cycles. Through spectral entropy analysis, the regions in the initial condition space that display varying degrees of complexity are mapped, highlighting those areas where the chaotic series approach a pseudo-random sequence of numbers. Finally, the proposed fractional-order memristive HNN is implemented on a Field-Programmable Gate Array (FPGA), demonstrating the feasibility of real-time hardware realization.
Optimization of a Solvent Exchange Method Enabling the Use of Dehydrated Cellulose Nanofibers as the Thickener in Lubricating Oleogels
Authors: García-Pérez María , Roman Claudia , Fernández-Silva Samuel D. , Delgado Miguel A. , García-Morales Moisés
Published: October 2024

A method that enabled the formulation of lubricating oleogels using dried cellulose nanofibers (CNFs) as an eco-friendly thickener in castor oil was studied. In their dehydrated state, strong hydrogen bonding between nanofibers and high hydrophilicity are the main obstacles to their dispersion in oil. Hence, clusters of dried CNFs had to be previously detached by their dispersion in water. The resulting hydrogels were then subjected to methanol washes to displace the water from the nanofibers. After centrifugation, the methanol-wetted precipitate was readily dispersed in castor oil, forming an oleogel once the methanol was removed. Optimization was conducted in terms of the following variables: (a) hydrogel processing method; (b) hydrogel pH; (c) methanol/hydrogel ratio; (d) number of washes; and (e) oleogel CNF concentration. Their effect on the oleogel linear viscoelastic behavior was analyzed. In general, they demonstrated a prevailing elastic behavior denoted by a well-developed plateau region. The CNF concentration was found to have a more remarkable impact on the oleogels’ rheological behavior than any other variable studied. Hence, substantial differences were observed between 1 and 2 wt.%. The CNFs exhibited a very remarkable thickening capacity in castor oil, achieving a plateau modulus of ca. 700 Pa with just 2 wt.%. Moreover, the resulting oleogels maintained a uniform texture even after one year of storage. This indicates that the oleogels were both homogeneous and storage stable, effectively overcoming the stability issues associated with direct dispersion of dried CNFs in castor oil.
A Review of Advanced Hydrogel Applications for Tissue Engineering and Drug Delivery Systems as Biomaterials
Authors: Choi Hoon , Choi Wan-Sun , Jeong Jin-Oh
Published: October 2024

Hydrogels are known for their high water retention capacity and biocompatibility and have become essential materials in tissue engineering and drug delivery systems. This review explores recent advancements in hydrogel technology, focusing on innovative types such as self-healing, tough, smart, and hybrid hydrogels, each engineered to overcome the limitations of conventional hydrogels. Self-healing hydrogels can autonomously repair structural damage, making them well-suited for applications in dynamic biomedical environments. Tough hydrogels are designed with enhanced mechanical properties, enabling their use in load-bearing applications such as cartilage regeneration. Smart hydrogels respond to external stimuli, including changes in pH, temperature, and electromagnetic fields, making them ideal for controlled drug release tailored to specific medical needs. Hybrid hydrogels, made from both natural and synthetic polymers, combine bioactivity and mechanical resilience, which is particularly valuable in engineering complex tissues. Despite these innovations, challenges such as optimizing biocompatibility, adjusting degradation rates, and scaling up production remain. This review provides an in-depth analysis of these emerging hydrogel technologies, highlighting their transformative potential in both tissue engineering and drug delivery while outlining future directions for their development in biomedical applications.
Vancomycin-Loaded Silk Fibroin/Calcium Phosphate/Methylcellulose-Based In Situ Thermosensitive Hydrogel: A Potential Function for Bone Regeneration
Authors: Phewchan Premchirakorn , Laoruengthana Artit , Chomchalao Pratthana , Lamlertthon Supaporn , Tiyaboonchai Waree
Published: October 2024

This study explores the efficacy of a vancomycin-loaded silk fibroin/calcium phosphate/methylcellulose-based in situ thermosensitive hydrogel (VM-SF/CaP/MC) in promoting the osteogenic differentiation of preosteoblast cells. Three VM-SF/CaP/MC formulations with varying low (L) and high (H) concentrations of silk fibroin (SF) and calcium phosphate (CaP) were prepared: VM-HSF/LCaP/MC, VM-LSF/HCaP/MC, and VM-HSF/HCaP/MC. These hydrogels significantly enhanced MC3T3-E1 cell migration and proliferation in a dose- and time-dependent manner, achieving complete cell migration within 48 h. In addition, they significantly promoted alkaline phosphatase activity, collagen content, and mineralization in MC3T3-E1 cells, indicating their potential for osteogenesis. Among the hydrogel formulations, the VM-HSF/HCaP/MC hydrogel, with high SF and CaP content, demonstrated superior potential in promoting the osteogenic differentiation of MC3T3-E1 cells. It exhibited the highest ALP activity (11.13 ± 0.91 U/mg protein) over 14 days, along with increased collagen content (54.00 ± 1.71 µg/mg protein) and mineralization (15.79 ± 1.48 mM) over 35 days. Therefore, this formulation showed a promising candidate for clinical application in localized bone regeneration, particularly in treating osteomyelitis.
Knowledge, Attitudes, and Practices of Pregnant Women and Hospital Staff Regarding Umbilical Cord Blood Banking: Systematic Review and Meta-Analysis
Authors: Benvenuti Martina , Cavallini Elisa , Battello Ginevra , Zullo Fabrizio , Driul Lorenza , Cromi Antonella , Mannella Paolo , Nappi Rossella E. , Scambia Giovanni , De Franciscis Pasquale , Riemma Gaetano
Published: October 2024

Background/Objectives: The aim of this study is to assess the knowledge, attitudes, and practices of pregnant women and hospital staff regarding umbilical cord blood (UCB) donation and storage to understand its limitations in clinical practice. Methods: MEDLINE, Scopus, LILACS, EMBASE, Scielo.br, and PROSPERO were searched from inception to 30 November 2023 with no geographic or language restrictions. The study eligibility criteria included cross-sectional studies that interviewed pregnant women and/or hospital staff about their knowledge, attitudes, and practices regarding private or public storage. A random-effects restricted maximum-likelihood model with Freeman–Tukey Double arcsine transformation meta-analysis was carried out to calculate the pooled estimates. MOOSE guidelines were followed. STATA 14.1 was used for statistical analysis. The Newcastle–Ottawa Scale and ROBINS-I tool were used for quality and risk of bias assessments. Results: In total, 19 studies providing data for 19,904 pregnant women and 1245 hospital staff members were included. Pooled pregnant women awareness was 61% ((95% CI 0.60 to 0.62), I2 = 0%, τ2 = 0.00, Q = 11.0 (p = 0.950)), and 61% for hospital staff (95% CI 0.58 to 0.64), I2 = 0%, τ2 = 0.00, Q = 4.00 (p = 0.310)). In total, 57% ((95% CI 0.56 to 0.58), I2 = 0, τ2 = 0.00, Q = 4.00 (p = 0.320)) of pregnant women had a positive attitude about UCB, while 34% ((95% CI 0.32 to 0.36), I2 = 0%, τ2 = 0.00, Q = 4.00 (p = 0.310)) were in favor of donating UCB for research and 65% ((95% CI 0.63 to 0.66), I2 = 0%, τ2 = 0.00, Q = 4.0 (p = 0.350)) were planning UCB storage. A significant (p < 0.001) preference for public relative to private banking (51% ([95% CI 0.49 to 0.54], I2 = 0%, τ2 = 0.00, Q = 4.0 (p = 0.310)) vs. 12% ([95% CI 0.10 to 0.13], I2 = 0%, τ2 = 0.00, Q = 4.0 (p = 0.300))) was noted for pregnant women. The same was retrievable for professionals (84% ([95% CI 0.79 to 0.88], I2 = 0%, τ2 = 0.00, Q = 2.0 (p = 0.110)) vs. 6% ([95% CI 0.03 to 0.09], I2 = 0%, τ2 = 0.00, Q = 1.0 (p = 0.070); p < 0.001)). Conclusions: Despite these efforts, lack of knowledge and positive attitudes about UCB banking remain, emphasizing the need for increasing educational programs on the subject.
Effect of Different Intensities of Leaf Removal on Tomato Development and Yield
Authors: Raya Vanesa , Parra Margarita , Cid María del Carmen , Santos Belarmino , Ríos Domingo
Published: October 2024

Defoliation (leaf removal or pruning) is a common practice in tomato production that makes crops more manageable, prevents conditions conducive to fungal attack and increases the exposure of the fruit to light, especially in winter conditions. The intensity and frequency of leaf removal on commercial farms often vary according to workforce availability criteria, which makes it difficult to determine their effect on tomato crop yields. It would be reasonable to think that a reduction in leaf area influences radiation interception and, therefore, the production of assimilates and biomass. However, in intensive production systems with a high leaf area index (LAI), leaf pruning can increase radiation interception, either by reducing competition between productive and vegetative organs or by increasing radiation use efficiency. This study was therefore designed to assess the effect of different intensities and frequencies of basal leaf removal on dry matter production and partitioning between the different organs of the plant, and thus on tomato crop productivity. A series of trials were conducted over three consecutive seasons, with a trial conducted per season: (a) Trial 1: leaf removal control—LRC (with leaves removed from the base to two leaves below the truss close to harvest, T0) was compared with LR1 (leaf removal from the base to two leaves below the truss above T0, i.e., T1) and LR2 (two trusses above T0 (T2)); (b) Trial 2: LRC compared with LR2 and LR4 (four trusses above T0 (T4)), carried out at two frequencies; and (c) Trial 3: LRC compared with an intense leaf removal treatment (LRI) whereby between 10 and 12 leaves were left on each stem. LAI saturation values under our conditions were found to be around 2.0. No significant differences in yield were found between the control and treatments LR1, LR2 and LR4, with a reduction in the number of leaves of up to 35% and LAI values during harvest above 2.0. The intense leaf removal treatment (LRI), which reduced the number of leaves by 47% and the LAI value from 2.8 to 1.5 compared to the control, resulted in a 15% reduction in dry biomass and a 17% decrease in fruit yield.
An Efficient System for Agrobacterium-Mediated Transformation of Elite Cultivars in Brassica juncea
Authors: Fu Wenyuan , Zhang Xixi , Yu Changchun , Wan Zhengjie
Published: October 2024

Efficient genetic transformation approaches play pivotal roles in both gene function research and crop breeding. However, stable transformation in mustard, particularly for different horticultural types, has not been systematically studied and well-established so far. In this study, we optimized the key factors in the genetic transformation of mustard, including the optical density value of Agrobacterium suspension, the age of explants, and the combination of phytohormones at different concentrations. As a result, the optimal conditions for the genetic transformation of leaf and stem mustard included hypocotyl explants derived from 4-day-old seedlings, infection by 0.8 OD600nm Agrobacterium suspension, and then re-differentiation on a medium containing 4 mg/L trans-zeatin (tZ) and 0.1 mg/L indoleacetic acid (IAA) for leaf mustard, and for stem mustard, re-differentiation on a medium containing 2 mg/L tZ and 0.4 mg/L IAA, with positive rates of 4.74% and 5.26%, respectively. Those for root mustard were hypocotyl explants derived from 8-day-old seedlings, infection by 0.2 OD600nmAgrobacterium suspension, and a medium containing 2 mg/L tZ and 0.1 mg/L IAA, with a positive rate of 4.42%. Overall, this work provides an effective tool for both the theoretical study and genetic improvement of Brassica juncea.
Assessment of Climate Change Impacts on Hydrology Using an Integrated Water Quality Index
Authors: Lee Sangung , Jo Bu Geon , Lim Jaeyeon , Lee Jong Mun , Kim Young Do
Published: October 2024

Traditional Water Quality Indices (WQIs) often fail to capture the significant impact of flow velocity on water quality, especially under varying hydrological conditions. In this study, an Integrated Water Quality Index (IWQI) was developed by combining water quality parameters and flow rate, providing a more comprehensive assessment under various flow conditions. Compared to traditional indices, the IWQI showed slightly lower correlations in individual parameter performance, but it performed well in evaluating water quality changes associated with flow variations. Parameters such as Total Phosphorus (TP), Total Coliforms (TC), and Fecal Coliforms (FC), which are prevalent pollutants in the Cheongmi River, significantly influenced IWQI scores. River water quality was evaluated using input data simulated under a climate change scenario. When precipitation was abundant, the IWQI score remained relatively stable even with reduced flow rates. However, during periods of insufficient rainfall, water quality deteriorated sharply. While general water quality parameters exhibited approximately a 10% change as flow decreased, TC and FC showed rapid deterioration, with change rates ranging from 20% to 60%. These findings underscore the importance of managing TC and FC, particularly when insufficient rainfall is predicted, as they are major sources of pollution.
Food Safety and Food Hygiene Knowledge of Hungarian University Students
Authors: Keczeli Viola , Kóró Melinda , Tóth Vivien , Csákvári Tímea , Tisza Boglárka Bernadett , Szántóri Patricia , Asztalos Ágnes Czeglédiné , Verzár Zsófia , Kisbenedek Andrea Gubicskóné
Published: October 2024

(1) Background: Foodborne diseases continue to affect millions of people around the world today, posing a huge challenge to public health. Our aim was to focus on the food safety knowledge and food hygiene knowledge of students at the University of Pécs, Hungary. (2) Methods: A quantitative, online, cross-sectional study was conducted between 15 February 2024 and 10 May 2024. Non-probability, convenience sampling was used. The target group consisted of first- and second-year BSc level degree students of the Faculty of Health Sciences at the University of Pécs (N = 214). The questions of the self-designed questionnaire include sociodemographic data, questions focusing on food safety knowledge, and questions to assess food hygiene knowledge. Statistical analysis was performed using descriptive and mathematical statistical analysis (p < 0.05). (3) Results: Participants were aware of foods that pose a food safety risk and were familiar with both the pathogens in food and the groups at risk of food contamination. In terms of knowledge, a higher proportion of second-year students answered correctly (p = 0.021; r = 0.657). A significant relationship was found between hygiene habits and age (p = 0.035) and place of residence, with most of the students living in dormitories not paying attention to food hygiene (r = 0.094; p = 0.046). (4) Conclusions: The level of knowledge of the students was not always satisfactory, so further research and education on this topic is essential to promote safe food consumption.
Phenotype in Individuals with Heterozygous Rare Variants in LIPC Encoding Hepatic Lipase
Authors: Jacob Erin O. , Wang Jian , McIntyre Adam D. , Hegele Robert A.
Published: October 2024

Hepatic lipase deficiency is a rare genetic condition caused by biallelic loss-of-function variants in the LIPC gene encoding hepatic lipase. These variants reduce or abolish the protein’s lipolytic activity, resulting in elevated plasma lipids. The condition is classified as autosomal recessive, since dyslipidemia is inconsistently observed in heterozygous patients with only one LIPC variant. However, this has been concluded from historical studies encompassing a few families and having very small sample sizes. Here, we conduct a retrospective chart review of 46 heterozygous subjects, each harboring one rare pathogenic LIPC variant. We compare plasma levels of total cholesterol, low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides, and apolipoprotein B to those of matched controls without LIPC variants. Variant pathogenicity is classified according to the guidelines of the American College of Medical Genetics and Genomics. We observe that levels of total cholesterol, LDL-C, and triglycerides are significantly elevated in the LIPC variant heterozygotes, but HDL-C and apolipoprotein B are not. When filtering solely with respect to pathogenic or likely pathogenic variants, all lipid variables emerge as significantly elevated compared to controls. Thus, hepatic lipase deficiency may not necessarily be a recessive condition, but perhaps semi-dominant since individuals with one variant are phenotypically distinct from the controls. These hypothesis-generating findings regarding LIPC genetic variations observed in a clinical cohort should be evaluated in larger populations and databases.
Treatment Strategies for Advanced Endometrial Cancer According to Molecular Classification
Authors: Tuninetti Valentina , Farolfi Alberto , Rognone Chiara , Montanari Daniela , De Giorgi Ugo , Valabrega Giorgio
Published: October 2024

The management of advanced endometrial cancer (EC) has changed in the last few years due to the introduction of a new molecular classification and the approval of immunotherapy. For a long time, carboplatin plus paclitaxel was considered the standard treatment for first-line advanced EC, since the approval of the combination of chemotherapy plus immunotherapy. For patients with recurrent EC, with previous platinum-based chemotherapy, single-agent immunotherapy or in combination with tyrosine-kinase inhibitor (TKI) has been approved according to mismatch repair status. Ongoing trials are exploring the possibility of a chemo-free future for mismatch repair-deficient (dMMR) EC and new molecular targets are under investigation. The treatment paradigm for advanced EC has shifted from standard chemotherapy for all to a more personalized approach. The aim of this review is to provide an updated therapeutic landscape for the management of patients with advanced/metastatic EC according to their disease history and molecular biology.
Development and Characterization of a Human Mammary Epithelial Cell Culture Model for the Blood–Milk Barrier—A Contribution from the ConcePTION Project
Authors: La Mantia Debora , Nauwelaerts Nina , Bernardini Chiara , Zannoni Augusta , Salaroli Roberta , Lin Qi , Huys Isabelle , Annaert Pieter , Forni Monica
Published: October 2024

It is currently impossible to perform an evidence-based risk assessment for medication use during breastfeeding. The ConcePTION project aims to provide information about the use of medicines during lactation. The study aimed to develop and characterize an in vitro model of the blood–milk barrier to determine the extent of the milk transfer of xenobiotics, relying on either on human mammary epithelial cells (hMECs) or immortalized cell lines derived from breast tissue. The hMECs were cultured and characterized for epithelial markers; further, the ability to form an epithelial barrier was investigated. Drug transporter functionality in the cultured hMECs was analyzed with specific probe substrates. The hMECs showed an epithelial morphology and the expression of epithelial markers and tight junctions. They formed a reproducible tight barrier with a transepithelial electrical resistance greater than 400 Ωcm2, unlike immortalized cell lines. Different levels of mRNA expression were detected for 81 genes of membrane transporters. Functional assays showed no evidence for the transporter-mediated secretion of medicines across the hMECs. Nevertheless, the hMEC-based in vitro model covered a 50-fold range of permeability values, differentiating between passive transcellular and paracellular-mediated transport. The cultured hMECs proved to be a promising in vitro model for biorelevance; the wide characterization of hMECs makes them useful for studying medicine partitioning in milk.
Adjuvanted Modified Bacterial Antigens for Single-Dose Vaccines
Authors: Di Benedetto Roberta , Massai Luisa , Wright Mark , Mancini Francesca , Cleveland Matthew , Rossi Omar , Giannelli Carlo , Berlanda Scorza Francesco , Micoli Francesca
Published: October 2024

Alum is the most used vaccine adjuvant, due to its safety, low cost and adjuvanticity to various antigens. However, the mechanism of action of alum is complex and not yet fully understood, and the immune responses elicited can be weak and antigen-dependent. While several antigens rapidly desorb from alum upon exposure to serum, phosphorylated proteins remain tightly bound through a ligand-exchange reaction with surface hydroxyls on alum. Here, bacterial proteins and glycoconjugates have been modified with phosphoserines, aiming at enhancing the binding to alum and prolonging their bioavailability. Tetanus toxoid protein and Salmonella Typhi fragmented Vi-CRM conjugate were used. Both antigens rapidly and completely desorbed from alum after incubation with serum, verified via a competitive ELISA assay, and set up to rapidly evaluate in vitro antigen desorption from alum. After antigen modification with phosphoserines, desorption from alum was slowed down, and modified antigens demonstrated more prolonged retention at the injection sites through in vivo optical imaging in mice. Both modified antigens elicited stronger immune responses in mice, after a single injection only, compared to unmodified antigens. A stronger binding to alum could result in potent single-dose vaccine candidates and opens the possibility to design novel carrier proteins for glycoconjugates and improved versions of bacterial recombinant proteins.
The Roles of H3K9me3 Writers, Readers, and Erasers in Cancer Immunotherapy
Authors: Oleksiewicz Urszula , Kuciak Monika , Jaworska Anna , Adamczak Dominika , Bisok Anna , Mierzejewska Julia , Sadowska Justyna , Czerwinska Patrycja , Mackiewicz Andrzej A.
Published: October 2024

The interplay between cancer and the immune system has captivated researchers for a long time. Recent developments in cancer immunotherapy have substantiated this interest with a significant benefit to cancer patients. Tumor and immune cells are regulated via a wide range of molecular mechanisms involving intricate transcriptional and epigenetic networks. Epigenetic processes influence chromatin structure and accessibility, thus governing gene expression, replication, and DNA damage repair. However, aberrations within epigenetic signatures are frequently observed in cancer. One of the key epigenetic marks is the trimethylation of histone 3 at lysine 9 (H3K9me3), confined mainly within constitutive heterochromatin to suppress DNA accessibility. It is deposited at repetitive elements, centromeric and telomeric loci, as well as at the promoters of various genes. Dysregulated H3K9me3 deposition disrupts multiple pathways, including immune signaling. Consequently, altered H3K9me3 dynamics may modify the efficacy of immunotherapy. Indeed, growing evidence highlights the pivotal roles of various proteins mediating H3K9me3 deposition (SETDB1/2, SUV39H1/2), erasure (KDM3, KDM4 families, KDM7B, LSD1) and interpretation (HP1 proteins, KAP1, CHD4, CDYL, UHRF1) in modulating immunotherapy effectiveness. Here, we review the existing literature to synthesize the available information on the influence of these H3K9me3 writers, erasers, and readers on the response to immunotherapy.
Role of Sphingosine-1-Phosphate Signaling Pathway in Pancreatic Diseases
Authors: Fu Fei , Li Wanmeng , Zheng Xiaoyin , Wu Yaling , Du Dan , Han Chenxia
Published: October 2024

Sphingosine-1-phosphate (S1P) is a sphingolipid metabolic product produced via the phosphorylation of sphingosine by sphingosine kinases (SPHKs), serving as a powerful modulator of various cellular processes through its interaction with S1P receptors (S1PRs). Currently, this incompletely understood mechanism in pancreatic diseases including pancreatitis and pancreatic cancer, largely limits therapeutic options for these disorders. Recent evidence indicates that S1P significantly contributes to pancreatic diseases by modulating inflammation, promoting pyroptosis in pancreatic acinar cells, regulating the activation of pancreatic stellate cells, and affecting organelle functions in pancreatic cancer cells. Nevertheless, no review has encapsulated these advancements. Thus, this review compiles information about the involvement of S1P signaling in exocrine pancreatic disorders, including acute pancreatitis, chronic pancreatitis, and pancreatic cancer, as well as prospective treatment strategies to target S1P signaling for these conditions. The insights presented here possess the potential to offer valuable guidance for the implementation of therapies targeting S1P signaling in various pancreatic diseases.
Novel Phenoxyalkanoic Acid Derivatives as Free Fatty Acid Receptor 4 Agonists for Treating Type 2 Diabetes Mellitus
Authors: Li Xu , Zhang Xinmeng , Xie Xueyuan , Dong Taimin , Lv Chengxu , Guan Ranran , Zhang Wenyue , Ji Guoxia , Chen Fanghui , Wang Shiben , Wang Xuekun
Published: October 2024

Diabetes mellitus (DM) is a common metabolic disease that poses a severe threat to human health. Despite a range of therapeutic approaches, there remains a lack of effective and safe therapies with the existing drugs. Therefore, there is an urgent need to develop novel, effective, and safe therapeutic strategies for DM. Free fatty acid receptor 4 (FFAR4), also known as GPR120, is a member of the G protein-coupled receptor family, which has received considerable attention as an attractive new therapeutic target for treating DM. In the present study, based on the structure of TUG-891, which has excellent activity and selectivity, a series of novel FFAR4 agonists was designed by replacing the phenylpropanoic acid β position carbon atom with an oxygen atom, while replacing the linking oxymethylene with an amide-linking group. The target compounds were evaluated for FFAR4 agonistic activity, and the preferred compounds were evaluated for selectivity, oral glucose tolerance in normal ICR mice, antidiabetic activity in diet-induced obese (DIO) mice, pharmacokinetic properties in ICR mice and molecular modeling studies. The results showed that compound 10f possessed excellent FFAR4 agonistic activity and selectivity, significantly improved glucose tolerance in normal ICR mice, lowered blood glucose and promoted insulin secretion in a dose-dependent manner in DIO mice, and showed favorable pharmacokinetic properties. These results indicate that compound 10f may be a promising compound that deserves further structure–activity relationship and pharmacological studies for the development of antidiabetic drugs.
Investigating the Role of Known Arabidopsis Iron Genes in a Stress Resilient Soybean Line
Authors: O’Rourke Jamie A. , Graham Michelle A.
Published: October 2024

Genes involved in iron deficiency responses have been well characterized in Arabidopsis thaliana, but their roles in crop species have not been well explored. Reliance on model species may fail to identify novel iron stress mechanisms present within crop species, likely selected by hundreds of years of selection. Fiskeby III (PI 438471) is a soybean line from Sweden that demonstrates high levels of resilience to numerous stresses. Earlier Fiskeby III studies have identified a suite of genes responding to iron deficiency stress in Fiskeby III that are also associated with Arabidopsis iron deficiency responses. We were interested in determining how canonical iron genes function in Fiskeby III under normal and iron stress conditions. To investigate this, we used virus-induced gene silencing to knock down gene expression of three iron deficiency response genes (FER-like iron deficiency induced transcription factor (FIT), elongated hypocotyl 5 (HY5) and popeye (PYE)) in Fiskeby III. Analyses of RNAseq data generated from silenced plants in iron-sufficient and -deficient conditions found silencing FIT and HY5 altered general stress responses but did not impact iron deficiency tolerance, confirming Fiskeby III utilizes novel mechanisms to tolerate iron deficiency stress.
Lessons from IgA Nephropathy Models
Authors: Kano Toshiki , Suzuki Hitoshi , Makita Yuko , Nihei Yoshihito , Fukao Yusuke , Nakayama Maiko , Lee Mingfeng , Aoki Ryosuke , Yamada Koshi , Muto Masahiro , Suzuki Yusuke
Published: October 2024

IgA nephropathy (IgAN) is the most common type of primary glomerulonephritis worldwide; however, the underlying mechanisms of this disease are not fully understood. This review explores several animal models that provide insights into IgAN pathogenesis, emphasizing the roles of aberrant IgA1 glycosylation and immune complex formation. It discusses spontaneous, immunization, and transgenic models illustrating unique aspects of IgAN development and progression. The animal models, represented by the grouped ddY (gddY) mouse, have provided guidance concerning the multi-hit pathogenesis of IgAN. In this paradigm, genetic and environmental factors, including the dysregulation of the mucosal immune system, lead to increased levels of aberrantly glycosylated IgA, nephritogenic immune complex formation, and subsequent glomerular deposition, followed by mesangial cell activation and injury. Additionally, this review considers the implications of clinical trials targeting molecular pathways influenced by IgAN (e.g., a proliferation-inducing ligand [APRIL]). Collectively, these animal models have expanded the understanding of IgAN pathogenesis while facilitating the development of therapeutic strategies that are currently under clinical investigation. Animal-model-based studies have the potential to facilitate the development of targeted therapies with reduced side effects for IgAN patients.