bluuebunny/crossref_metadata_2025 huggingface dataset:
Large-Signal Nonlinear Average Model for a Voltage-Controlled Flyback Converter
Authors: Giraldo-Hernández David Eduardo , Bolaños-Navarrete Mario Andrés , Angulo Fabiola , Osorio Gustavo , Astaiza Nicols , Mina-Casaran Juan David , Herrera Wilder
Published: January 2025

Flyback converters are popular in various electronic applications due to their efficiency, galvanic isolation, and voltage stepping-up. However, their modeling and analysis present significant challenges. Traditional switched models offer high precision but require extensive computational resources, which is impractical for large-scale simulations. The alternative linear large-signal models are effective for studying stability near fixed operating points but fall short in capturing transient dynamics, limiting their use in the analysis and design of large or complex systems. This paper presents a novel nonlinear approach for representing a proportional–integral (PI) voltage-controlled flyback converter operating in continuous conduction mode (CCM) that accurately captures transients while reducing the computational burden. Numerical simulations in a study case confirm that the model effectively captures the converter dynamics under various conditions, achieving steady-state errors below 0.07% and accelerations up to 54×. These results facilitate efficient design iterations across a broad range of applications, including renewable energy systems, battery charging, and electric vehicles.
Exhaust Emissions from a Direct Injection Spark-Ignition Engine Fueled with High-Ethanol Gasoline
Authors: Kozak Miłosław , Waligórski Marek , Wcisło Grzegorz , Wierzbicki Sławomir , Duda Kamil
Published: January 2025

Ethyl alcohol is a known additive to automotive gasoline. In commercially available gasolines, its concentration is between 5 and 10%. Since ethyl alcohol can be considered as a renewable fuel, efforts are being made to further increase its content in gasoline. This article describes the results of comparison experiments on a Euro 5 direct injection spark-ignition car engine fueled with conventional gasoline and gasoline with 30% v/v ethyl alcohol content (E30). The test results showed that a significant share of ethanol in the fuel did not affect most of the regulated emissions of gaseous components (namely: CO, HC, NO), i.e., a three-way catalyst effectively removed these components, regardless of the fuel composition. Slightly lower CO2 emissions with the E30 fuel were noticeable. A significant difference, however, in lower particulate number emissions for the fuel with high-ethanol content was seen. At high engine load, the use of the E30 fuel resulted in a tenfold reduction in particulate number emissions. This might be considered as a very valuable effect of ethanol since direct injection spark-ignition engines are typically characterized by higher particulate emissions compared to engines equipped with other types of injection systems.
Promoting or Hindering: The Impact of ESG Rating Differences on Energy Enterprises’ Green Transformation—A Causal Test from Double Machine-Learning Algorithms
Authors: Wan Jun , Wang Yuejia , Wang Yuan
Published: January 2025

There is a lack of comprehensive evaluation on the impact of ESG rating differences on the green transformation of energy enterprises in the transition era. This study leverages data from companies listed on the Shanghai Stock Exchange in China, applying double machine-learning algorithms to precisely estimate the causal relationship between variations in ESG ratings and the green transition efficiency of energy companies. The research shows that the difference in ESG ratings of third-party rating agencies significantly promotes the efficiency of green transformation of energy enterprises. This paper also studies the influencing factors of this effect: First, ESG rating differences significantly promote the improvement of green transition efficiency of energy enterprises; Second, the positive effect is more pronounced in energy companies with more balanced board structures. Finally, energy companies with high capital market attention can also contribute to this positive impact. Through the mechanism test, this paper finds that enterprise green innovation is an important mechanism for ESG rating divergence to positively promote the efficiency of energy enterprises’ green transformation. Furthermore, this paper analyzes the impact of ESG rating on enterprises from the perspective of market cognition and short-term behavior, which provides a new perspective for analyzing the practice of enterprises pursuing long-term transformation. The study also calls for a more sober reflection on the trend toward ESG in society.
Growth Characteristics and Freezing Tolerance of Ectomycorrhizal and Saprotrophic Fungi: Responses to Normal and Freezing Temperatures
Authors: Lan Hangyu , Gorfer Markus , Otgonsuren Burenjargal , Godbold Douglas L.
Published: January 2025

In boreal and temperate forests, symbiotroph and saprotroph soil fungi must survive months of low temperatures or freezing during winter. In the temperate biome, this is particularly the case for high-elevation mountain forests. Soil freezing is thus an important stress factor in these forests. The objective of this study was to assess how temperature and freezing conditions affect the growth and survival of symbiotic and saprotrophic fungi. To assess the cold and freezing tolerance of ectomycorrhizal (EM) and saprotrophic (SAP) fungi, we conducted a study from 2021 to 2023, using isolates from forests located at lower and high-elevation mountain sites, as well as from forests in Mongolia, at altitudes ranging from 525 m to 1800 m. The isolates were grown in vitro at temperatures of 22, 15, and 4 °C and exposed to freezing conditions at −4 or −18 °C. The response to temperature and freezing was determined based on radial growth. Triphenyltetrazolium chloride (TTC) reduction was used to measure relative metabolic activity and viability. Fungi that originated from higher-elevation mountain sites, and thus colder climate conditions, tended to have a lower response to temperature and a higher tolerance to freezing. We could find no evidence of a higher freezing tolerance among different exploration types of ectomycorrhizal fungi. Sensitivity to low temperatures appears to be taxa-specific rather than exploration-type-specific.
Optimizing Deep Learning Models for Fire Detection, Classification, and Segmentation Using Satellite Images
Authors: Ali Abdallah Waleed , Kurnaz Sefer
Published: January 2025

Earth observation (EO) satellites offer significant potential in wildfire detection and assessment due to their ability to provide fine spatial, temporal, and spectral resolutions. Over the past decade, satellite data have been systematically utilized to monitor wildfire dynamics and evaluate their impacts, leading to substantial advancements in wildfire management strategies. The present study contributes to this field by enhancing the frequency and accuracy of wildfire detection through advanced techniques for detecting, classifying, and segmenting wildfires using satellite imagery. Publicly available multi-sensor satellite data, such as Landsat, Sentinel-1, and Sentinel-2, from 2018 to 2020 were employed, providing temporal observation frequencies of up to five days, which represents a 25% increase compared to traditional monitoring approaches. Sophisticated algorithms were developed and implemented to improve the accuracy of fire detection while minimizing false alarms. The study evaluated the performance of three distinct models: an autoencoder, a U-Net, and a convolutional neural network (CNN), comparing their effectiveness in predicting wildfire occurrences. The results indicated that the CNN model demonstrated superior performance, achieving a fire detection accuracy of 82%, which is approximately 10% higher than the best-performing model in similar studies. This accuracy, coupled with the model’s ability to balance various performance metrics and learnable weights, positions it as a promising tool for real-time wildfire detection. The findings underscore the significant potential of optimized machine learning approaches in predicting extreme events, such as wildfires, and improving fire management strategies. Achieving 82% detection accuracy in real-world applications could drastically reduce response times, minimize the damage caused by wildfires, and enhance resource allocation for firefighting efforts, emphasizing the importance of continued research in this domain.
The Origin Link Between “Śląski” Cheese and the Silesia Region: A Basis for Obtaining Protection for Geographical Indications
Authors: Chudy Sylwia , Kępiński Jakub , Makowska Agnieszka
Published: January 2025

This paper presents the history of cheese produced in the Silesian region (Poland). The purpose of the research was to collect documentation on cheese, for which the name “śląski” cheese (“Silesian” cheese) is adopted in this paper. The research method was a query, and the research materials were archival documents collected in Polish libraries and archives. Conducting a comprehensive search made it possible to collect relevant information on “śląski” cheese. The authors also carried out a survey to obtain data on consumer behaviour in the regional food market. Based on the research, there is a strong rationale for taking steps to safeguard the name “śląski” cheese by acquiring a Protected Designation of Origin or Protected Geographical Indication status. As a significant cheese producer in the European Union, Poland should promote cheeses associated with a specific region. “Śląski” cheese has the potential to become a symbol of the Silesia region in the southwestern part of Poland. This research is an example of documentation gathering and could be helpful to all those who are trying to obtain geographical indications for regional products.
Anti-Inflammatory Potential of Umckalin Through the Inhibition of iNOS, COX-2, Pro-Inflammatory Cytokines, and MAPK Signaling in LPS-Stimulated RAW 264.7 Cells
Authors: Oh So-Yeon , Hyun Chang-Gu
Published: January 2025

Background/Objectives: Umckalin, a coumarin derivative abundantly present in the root extract of Pelargonium sidoides, is a key bioactive compound known for its antimicrobial, antiviral, antitubercular, and immunomodulatory properties. Its therapeutic potential has been extensively studied, particularly in the context of respiratory diseases. This study aimed to evaluate the potential of umckalin as a therapeutic agent for chronic inflammatory diseases and to elucidate its underlying mechanisms of action. Methods: Using lipopolysaccharide (LPS)-stimulated RAW 264.7 macrophages as an experimental model, we investigated the inhibitory effects of umckalin on inflammatory mediators and cytokine production. We measured levels of nitric oxide (NO), prostaglandin E2 (PGE2), tumor necrosis factor-alpha (TNF-α), interleukin-6 (IL-6), and interleukin-1 beta (IL-1β), and assessed the expression of inducible nitric oxide synthase (iNOS) and cyclooxygenase-2 (COX-2). Additionally, the regulation of MAPK signaling pathways, including JNK, p38 MAPK, and ERK, was analyzed. Results: The results demonstrated that umckalin significantly reduced the levels of NO, PGE2, TNF-α, IL-6, and IL-1β in LPS-stimulated RAW 264.7 cells. Umckalin also suppressed the expression of iNOS and COX-2, leading to decreased NO and PGE2 production. Furthermore, umckalin effectively regulated inflammatory responses by reducing the phosphorylation of MAPK signaling pathways, including JNK, p38 MAPK, and ERK. Conclusions: These findings indicate that umckalin inhibits the production of TNF-α, IL-6, IL-1β, and NO, while regulating MAPK signaling pathways, thereby suppressing the expression of iNOS and COX-2. This study highlights the potent anti-inflammatory effects of umckalin and suggests its potential as a promising candidate for the treatment of chronic inflammatory diseases.
Construction of a High-Density Genetic Linkage Map and QTL Mapping for Stem Rot Resistance in Passion Fruit (Passiflora edulis Sims)
Authors: Wu Yanyan , Huang Weihua , Liu Jieyun , Zhou Junniu , Tian Qinglan , Xia Xiuzhong , Mou Haifei , Yang Xinghai
Published: January 2025

Background: The passion fruit (Passiflora edulis Sims) is a diploid plant (2n = 2x = 18) and is a perennial scrambling vine in Southern China. However, the occurrence and spread of stem rot in passion fruit severely impact its yield and quality. Methods: In this study, we re-sequenced a BC1F1 population consisting of 158 individuals using whole-genome resequencing. We constructed a high-density genetic linkage map and identified the quantitative trait locus (QTL), and analyzed candidate genes associated with stem rot resistance in passion fruit. Results: Based on the passion fruit reference genome (MER), a high-density genetic linkage map was constructed with 1,180,406 single nucleotide polymorphisms (SNPs). The map contains nine linkage groups, covering a total genetic distance of 1559.03 cM, with an average genetic distance of 311.81 cM. The average genetic distance between 4206 bins was 0.404 cM, and the average gap length was 10.565 cM. The collinearity correlation coefficient between the genetic map and the passion fruit genome was 0.9994. Fusarium solani was used to infect the BC1F1 population, and the resistance to stem rot showed a continuous distribution. A QTL, qPSR5, was mapped to the 113,377,860 bp–114,811,870 bp genomic region on chromosome 5. We performed RNA sequencing (RNA-seq) and real-time quantitative polymerase chain reaction (RT-qPCR) to analyze the expression levels of predicted genes in the candidate region and identified ZX.05G0020740 and ZX.05G0020810 as ideal candidate genes for stem rot resistance in passion fruit. Conclusions: The findings in this study not only lay the foundation for cloning the qPSR5 responsible for stem rot resistance but also provide genetic resources for the genetic improvement of passion fruit.
Hotspots and Trends in Research on Mental Health of the Rural Elderly: A Bibliometric Analysis Using CiteSpace
Authors: Hao Yinzhu , Yang Lei
Published: January 2025

Background: This study addresses the need for a systematic analysis of research trends and hotspots in the mental health of rural elderly populations, a field that has gained increasing attention due to the growing global aging population. The previous literature has explored specific issues such as loneliness, depression, and social support, and yet a comprehensive review of research development, key themes, and gaps remains lacking. Methods: Using CiteSpace software (CiteSpace 6.3.R1), this study conducts a bibliometric analysis of 1545 articles from the Web of Science Core Collection and 1793 articles from the China National Knowledge Infrastructure. The analysis identifies key themes, collaboration networks, and the evolution of research focus over time. Results: The results reveal that while Chinese research in this field is highly active and diverse, international collaboration is limited, underscoring the need for stronger global partnerships. Conclusions: Emerging research areas, such as the impact of socioeconomic factors, intergenerational support, and rural healthcare policies, are identified. These findings provide valuable insights into the current state of research and highlight opportunities for future studies and policy-making aimed at improving the mental health and quality of life of rural elderly populations worldwide.
A Composite Vase Solution Using Silicon (Si) and Other Preservatives Improved the Vase Quality of Cut Lily (Lilium ‘Siberia’) Flowers
Authors: Song Jinnan , Yang Jingli , Jeong Byoung Ryong
Published: January 2025

As a famous high-grade cut flower, the ornamental value and the marketability of lilies (Lilium spp.) are restricted by their short vase life in water. Previous reports have shown that silicon (Si) and several preservatives are able to improve the postharvest performance of cut flowers. However, the optimal combination of Si and one selected preservative to improve the vase quality of cut lily flowers was unclear. In this study, therefore, we investigated the synergistic effects of Si and one of five preservatives (water only, CaCl2, sugar, 8-HQS: 8-hydroxyquinolin sulfate, and CA: citric acid) on the vase quality of cut lily flowers ‘White Siberia’. It was found that a preservative alone (except sugar) could significantly increase the longevity of vase life, delay the water loss rate, and reinforce the antioxidant defense system (i.e., improve total phenols, total flavonoids, and major antioxidant enzymes, as well as reduce ROS-reactive oxygen species accumulation), compared with the cut stems cultured in water only. However, the maximum flowering diameter was not affected. More importantly, these mentioned synergistic effects were more pronounced when the Si was supplemented. The simultaneous use of Si and 8-HQS was the optimal combination for an improved postharvest performance and improved vase quality, among the 10 treatments. Taken together, a composite vase solution using Si and 8-HQS may be a recommended nutrition strategy to enhance the competitiveness of marketed cut lily flowers.
Mixed-Methods Evaluation of the HealthyWEY E-Learning Toolkit for Promoting Healthy Weight in the Early Years
Authors: Harrison James E. , Abayomi Julie , Hassan Shaima , Foweather Lawrence , Maxwell Clare , McCann Deborah , Garbett Sarah , Nugent Maria , Bradbury Daisy , Timpson Hannah , Porcellato Lorna , Judd Marian , Chisholm Anna , Isaac Nabil , Wolfenden Beth , Greenhalgh Amy , Watson Paula M.
Published: January 2025

Despite being well-positioned to promote healthy lifestyles in young children, early years practitioners often face barriers to supporting child weight management. This mixed-methods study aimed to assess the preliminary effectiveness and acceptability of an e-learning toolkit (HealthyWEY) designed to upskill and support multi-agency professionals to promote healthy weight in early childhood. A total of 54 health visitors/community nursery nurses, 38 children’s centre staff and 17 other health professionals engaged with the HealthyWEY e-learning, which drew on self-determination theory and consisted of nine modules that were completed over 7–10 weeks. Non-parametric statistical analysis using Wilcoxon’s signed-rank tests were used to explore participants’ practice-based knowledge, psychological needs satisfaction and motivations for prioritising pre-school child weight from pre- to post-intervention. Focus groups (n = 11) were conducted with a sub-sample of multi-agency professionals (n = 39) to explore the process of implementation across sites, while interviews were also conducted with two parents/carers who took part in consultations with HealthyWEY-trained practitioners. After completing the HealthyWEY e-learning, participants perceived fewer barriers to pre-school child weight management (median change = −0.7; p < 0.001), greater autonomy (median change = 0.7, p < 0.001), competence (median change = 0.8, p < 0.001) and relatedness (median change = 0.4, p < 0.001) and a higher autonomous motivation towards promoting healthy weight (median change = 0.3, p < 0.001). E-learning was perceived to be highly relevant to participants’ roles and congruent with local child weight strategies. Challenges to implementation included time constraints and disruptions related to the COVID-19 pandemic. Recommendations for a better user experience were offered by enhancing the toolkit’s design and interactivity. Engagement with the HealthyWEY e-learning led to promising changes in perceived barriers and motivational variables. The toolkit was perceived to be acceptable amongst multi-agency workforces, albeit challenging to prioritise within time-pressured health and early years settings.
Superparamagnetic Iron Oxide Nanoparticles as a Tracer for Sentinel Lymph Node Mapping in Endometrial Cancer
Authors: Jedryka Marcin A. , Klimczak Piotr , Kryszpin Marcin , Poprawski Tymoteusz , Czekanski Andrzej , Lepka Piotr , Matkowski Rafał
Published: January 2025

Sentinel lymph node (SLN) detection has been widely investigated in recent years as a part of the surgical staging of women with endometrial cancer (EC), gradually overtaking lymphadenectomy (LND) in this respect. In this study, thirty EC patients, assumed as stage I, were investigated using superparamagnetic iron oxide (SPIO) as a tracer for SLN detection followed by LND. The endpoints of this research were the proportion of successful SLN detection, the average number of SLNs per patient, the percentage of bilaterally detected SLNs, and the proportion of metastatic SLNs. Safety endpoints were the summary of all reported adverse events. SLNs were detected in all cases and bilaterally in 21 patients (70%). The diagnostic accuracy parameters of the SPIO detection of metastatic SLNs evaluated by Receiver Operating Characteristic (ROC) curve analysis with the area under the ROC curve (AUC) demonstrated a sensitivity of 80% and AUC of 0.9 (p < 0.001), confirming the SPIO technique’s efficacy in women with EC. No adverse events were reported. SPIO nanoparticles as a tracer for SLN mapping in apparent early-stage EC patients demonstrated satisfactory accuracy parameters and safety; however, these data need to be evaluated by further research.
The Role of microRNA-22 in Metabolism
Authors: Tomasini Simone , Vigo Paolo , Margiotta Francesco , Scheele Ulrik Søberg , Panella Riccardo , Kauppinen Sakari
Published: January 2025

microRNA-22 (miR-22) plays a pivotal role in the regulation of metabolic processes and has emerged as a therapeutic target in metabolic disorders, including obesity, type 2 diabetes, and metabolic-associated liver diseases. While miR-22 exhibits context-dependent effects, promoting or inhibiting metabolic pathways depending on tissue and condition, current research highlights its therapeutic potential, particularly through inhibition strategies using chemically modified antisense oligonucleotides. This review examines the dual regulatory functions of miR-22 across key metabolic pathways, offering perspectives on its integration into next-generation diagnostic and therapeutic approaches while acknowledging the complexities of its roles in metabolic homeostasis.
Protection Strategies Against Palmitic Acid-Induced Lipotoxicity in Metabolic Syndrome and Related Diseases
Authors: Ceja-Galicia Zeltzin Alejandra , Cespedes-Acuña Carlos Leonardo Armando , El-Hafidi Mohammed
Published: January 2025

Diets rich in carbohydrate and saturated fat contents, when combined with a sedentary lifestyle, contribute to the development of obesity and metabolic syndrome (MetS), which subsequently increase palmitic acid (PA) levels. At high concentrations, PA induces lipotoxicity through several mechanisms involving endoplasmic reticulum (ER) stress, mitochondrial dysfunction, inflammation and cell death. Nevertheless, there are endogenous strategies to mitigate PA-induced lipotoxicity through its unsaturation and elongation and its channeling and storage in lipid droplets (LDs), which plays a crucial role in sequestering oxidized lipids, thereby reducing oxidative damage to lipid membranes. While extended exposure to PA promotes mitochondrial reactive oxygen species (ROS) generation leading to cell damage, acute exposure of ß-cells to PA increases glucose-stimulated insulin secretion (GSIS), through the activation of free fatty acid receptors (FFARs). Subsequently, the activation of FFARs by exogenous agonists has been suggested as a potential therapeutic strategy to prevent PA-induced lipotoxicity in ß cells. Moreover, some saturated fatty acids, including oleic acid, can counteract the negative impact of PA on cellular health, suggesting a complex interaction between different dietary fats and cellular outcomes. Therefore, the challenge is to prevent the lipid peroxidation of dietary unsaturated fatty acids through the utilization of natural antioxidants. This complexity indicates the necessity for further research into the function of palmitic acid in diverse pathological conditions and to find the main therapeutic target against its lipotoxicity. The aim of this review is, therefore, to examine recent data regarding the mechanism underlying PA-induced lipotoxicity in order to identify strategies that can promote protection mechanisms against lipotoxicity, dysfunction and apoptosis in MetS and obesity.
Galectins and Liver Diseases
Authors: Mimura Shima , Morishita Asahiro , Oura Kyoko , Takuma Kei , Nakahara Mai , Tadokoro Tomoko , Fujita Koji , Tani Joji , Kobara Hideki
Published: January 2025

Galectins are widely distributed throughout the animal kingdom, from marine sponges to mammals. Galectins are a family of soluble lectins that specifically recognize β-galactoside-containing glycans and are categorized into three subgroups based on the number and function of their carbohydrate recognition domains (CRDs). The interaction of galectins with specific ligands mediates a wide range of biological activities, depending on the cell type, tissue context, expression levels of individual galectin, and receptor involvement. Galectins affect various immune cell processes through both intracellular and extracellular mechanisms and play roles in processes, such as apoptosis, angiogenesis, and fibrosis. Their importance has increased in recent years because they are recognized as biomarkers, therapeutic agents, and drug targets, with many other applications in conditions such as cardiovascular diseases and cancer. However, little is known about the involvement of galectins in liver diseases. Here, we review the functions of various galectins and evaluate their roles in liver diseases.
Exosomal Liquid Biopsy in Prostate Cancer: A Systematic Review of Biomarkers for Diagnosis, Prognosis, and Treatment Response
Authors: Hamid Yameen , Rabbani Rukhshana Dina , Afsara Rakkan , Nowrin Samarea , Ghose Aruni , Papadopoulos Vasileios , Sirlantzis Konstantinos , Ovsepian Saak V. , Boussios Stergios
Published: January 2025

Prostate cancer, a leading cause of cancer-related mortality among men, often presents challenges in accurate diagnosis and effective monitoring. This systematic review explores the potential of exosomal biomolecules as noninvasive biomarkers for the diagnosis, prognosis, and treatment response of prostate cancer. A thorough systematic literature search through online public databases (Medline via PubMed, Scopus, and Web of science) using structured search terms and screening using predefined eligibility criteria resulted in 137 studies that we analyzed in this systematic review. We evaluated the findings from these clinical studies, revealing that the load of exosomes in the blood and urine of prostate cancer patients, which includes microRNAs (miRNAs), proteins, and lipids, demonstrates disease-specific changes. It also shows that some exosomal markers can differentiate between malignant and benign hyperplasia of the prostate, predict disease aggressiveness, and monitor treatment efficacy. Notably, miRNA emerged as the most frequently studied biomolecule, demonstrating superior diagnostic potential compared to traditional methods like prostate-specific antigen (PSA) testing. The analysis also highlights the pressing need for a standardised analytic approach through multi-centre studies to validate the full potential of exosomal biomarkers for the diagnosis and monitoring of prostate cancer.
Hidden Partner of Immunity: Microbiome as an Innovative Companion in Immunotherapy
Authors: Kim Pyoseung , Joe Sunggeun , Kim Heeyoung , Jeong Hyejeong , Park Sunghwan , Song Jihwan , Kim Wondong , Lee Yong Gu
Published: January 2025

Recent studies have highlighted that the microbiome is the essential factor that can modulate the clinical activity of immunotherapy. However, the role of the microbiome varies significantly across different immunotherapies, suggesting that it is critical to understand the precise function of the microbiome in each type of immunotherapy. While many previous studies primarily focus on summarizing the role of the microbiome in immune checkpoint inhibitors, we seek to explore a novel aspect of the microbiome in other immunotherapies such as mesenchymal stem cell therapy, chimeric antigen receptor T cell therapy, and antibodies-based therapy (e.g., adalimumab, infliximab, bevacizumab, denosumab, etc.) which are rarely summarized in previous reviews. Moreover, we highlight innovative strategies for utilizing microbiome and microbial metabolites to enhance the clinical response of immunotherapy. Collectively, we believe that our manuscript will provide novel insights and innovative approaches to the researchers, which could drive the development of the next generation of personalized therapeutic interventions using microbiomes.
Insights into the Lignocellulose-Degrading Enzyme System Based on the Genome Sequence of Flavodon sp. x-10
Authors: Wang Bao-Teng , Hu Shuang , Oh Dong Nyoung , Jin Chun-Zhi , Jin Long , Lee Jong Min , Jin Feng-Jie
Published: January 2025

The efficient hydrolysis of lignocellulosic biomass relies on the action of enzymes, which are crucial for the development of economically feasible cellulose bioconversion processes. However, low hydrolysis efficiency and the inhibition of cellulase production by carbon catabolite repression (CCR) have been significant obstacles in this process. The aim of this study was to identify the patterns of cellulose degradation and related genes through the genome analysis of a newly isolated lignocellulose-degrading fungus Flavodon sp. x-10. The whole-genome sequencing showed that the genome size of Flavodon sp. x-10 was 37.1 Mb, with a GC content of 49.48%. A total of 11,277 genes were predicted, with a total length of 18,218,150 bp and an average length of 1615 bp. Additionally, 157 tRNA genes responsible for transporting different amino acids were predicted, and the repeats and tandem repeats accounted for only 0.76% of the overall sequences. A total of 5039 genes were annotated in the Kyoto Encyclopedia of Genes and Genomes (KEGG) database, representing 44.68% of all genes, and 368 metabolic pathways were involved. Of the 595 genes annotated in the carbohydrate-active enzyme (CAZy) database, 183 are associated with plant cell wall-degrading enzymes (PCWDEs), surpassing those of Aspergillus niger (167), Trichoderma reesei (64), and Neurospora crassa (86). Compared to these three fungi, Flavodon sp. x-10 has a higher number of enzyme genes related to lignin degradation in its genome. Transporters were further identified by matching the whole-genome sequence to the Transporter Classification Database (TCDB), which includes 20 sugar transporters (STs) closely linked to sugar utilization. Through the comprehensive exploration of the whole-genome sequence, this study uncovered more vital lignocellulase genes and their degradation mechanisms, providing feasible strategies for improving the strains to reduce the cost of biofuel production.
Influence of Obstructive Sleep Apnea on Oxidative Stress in Pregnancy
Authors: Cànaves-Gómez Laura , Giménez Carrero María Paloma , Álvarez Ruiz De Larrinaga Ainhoa , Sánchez Baron Andrés , Codina Marcet Mercedes , Iglesias Coma Amanda , De-La-Peña Mónica , Piñas Cebrian María Concepción , García Fernández Susana , Peña Zarza José Antonio , Morell-Garcia Daniel , Barceló Bennasar Antonia , Alonso-Fernández Alberto
Published: January 2025

Obstructive sleep apnea (OSA) is common during pregnancy and linked to adverse outcomes. While oxidative stress is a proposed pathogenic mechanism, evidence in pregnant populations remains limited. This multicenter, prospective study evaluated oxidative stress through protein carbonyl levels in 171 pregnant women and 86 cord blood samples. Polysomnography (PSG) performed during pregnancy categorized participants with the apnea–hypopnea index (AHI) in OSA, rapid eye movement (REM) OSA, and supine OSA. Protein carbonyl levels were measured by the dinitrophenyl hydrazine (DNPH) method. No significant differences were found in maternal or cord blood protein carbonyl levels between OSA and non-OSA groups, or between REM and supine OSA subgroups. Interestingly, women with shorter apnea–hypopnea (AH) length showed both higher maternal and cord blood protein carbonyl levels and lower nocturnal oxygen saturation. Overall, OSA in pregnancy was not associated with increased oxidative stress as measured by protein carbonyl levels. However, apnea–hypopnea duration and nocturnal hypoxia may influence oxidative stress, pointing to a complex relationship between OSA and oxidative stress during pregnancy, beyond traditional metrics like AHI. Future studies should explore additional biomarkers and diverse molecular pathways that could play a role, with special attention to emerging factors such as apnea–hypopnea length and hypoxic burden to elucidate the interrelationships between OSA and pregnancy more comprehensively.
A Review of Media Copyright Management Using Blockchain Technologies from the Academic and Business Perspectives
Authors: García Roberto , Cediel Ana , Teixidó Mercè , Gil Rosa M.
Published: January 2025

Blockchain technologies provide new opportunities for media copyright management. To provide an overview of the main initiatives in this blockchain application area, we have first reviewed the existing academic literature. The bibliometric analysis of the literature about copyright and blockchain in the Scopus database identifies four main areas of activity, namely “Digital Rights Management”, “Copyright Protection”, “Social Media”, and “Intellectual Property Rights”. However, it also shows that the literature is still scarce and immature in many aspects, which becomes more evident when comparing it to initiatives coming from the industry. Blockchain has been receiving significant inflows of venture capital and crowdfunding, which have boosted its progress in many fields, including its application to media management. Consequently, we have complemented the review with a business perspective. Existing reports about blockchain and media have been studied and consolidated into four prominent business use cases: “Copyright Management”, “Digital Content Scarcity”, “Marketing, Fan Engagement and Fundrising”, and “Disintermediated Distribution”. Moreover, each one has been illustrated through existing businesses already exploring them. Combining the academic and industry perspectives, this review helps researchers identify the current trends in academic research about media copyright management using blockchain technologies, but without losing track of the state of the art in the industry, which in many cases is more advanced, and the business use cases they can connect their research to.
Investigation of the Mechanical Properties and Durability of Fiber-Reinforced Geopolymer Mortars Containing Metakaolin and Glass Powder
Authors: Mirgozar Langaroudi Mir Alimohammad , Mohtasham Moein Mohammad , Saradar Ashkan , Karakouzian Moses
Published: January 2025

The increasing global emphasis on sustainable construction practices has spurred significant international research into developing durable and eco-friendly concrete materials. This study investigates the potential of metakaolin and glass powder as supplementary aluminosilicate materials in slag- based geopolymer mortars, aiming to enhance their mechanical properties and durability. To further improve the performance, polypropylene fibers were incorporated at various dosages. Therefore, 13 mixtures of geopolymer mortar based on blast furnace slag have been developed. The control mix does not contain fibers or slag replacement materials, whereas in the other formulations, glass powder and metakaolin have been employed as substitutes for slag at weight percentages (relative to the weight of slag) of 5% and 10%, separately and in combination. Additionally, the fiber-containing samples are divided into two groups based on the volume percentage of polypropylene fibers, comprising 0.2% and 0.4%. The results of the investigation show that the use of glass powder, particularly at a replacement percentage of 10%, leads to an improvement in the 28-day compressive strength. Furthermore, the mixes containing glass powder demonstrated higher flexural strength compared to those containing metakaolin, irrespective of the volume percentage of fibers. The best performance in the rapid chloride permeability test is associated with the mix containing a combination of glass powder and metakaolin at a replacement percentage of 10%. Satisfactory results have been obtained when using fibers at volume percentages of 0.2% and 0.4%. Additionally, this study utilized a fuzzy inference system to predict compressive strength. The results indicate that, by considering uncertainties, the compressive strength of the mortar can be predicted with an error of less than 1% without the need for complex mathematical calculations.
Advanced Machine Learning Techniques for Predicting Concrete Compressive Strength
Authors: Nikoopayan Tak Mohammad Saleh , Feng Yanxiao , Mahgoub Mohamed
Published: January 2025

Accurate estimation of concrete compressive strength is very important for the improvement of mix design, quality assurance, and compliance with engineering specifications. Most empirical traditional models have failed to capture the complex relationships inherent within varied constituents of concrete mixes. This paper develops a machine learning model for compressive strength prediction using mix design variables and curing age from a “Concrete Compressive Strength Dataset” obtained from the UCI Machine Learning Repository. After comprehensive data preprocessing and feature engineering, various regression and classification models were trained and evaluated, including gradient boosting, random forest, AdaBoost, k-nearest neighbors, linear regression, and neural networks. The gradient boosting regressor (GBR) achieved the highest predictive accuracy with an R2 value of 0.94. Feature importance analysis showed that the water–cement ratio and age are the most crucial factors affecting compressive strength. Advanced methods such as SHapley Additive exPlanations (SHAP) values and partial dependence plots were used to attain deep insights about feature interaction with a view to enhancing interpretability and fostering trust in models. Results highlight the potential of machine learning models to improve concrete mix design with the aim of sustainable construction through the optimization of material usage and waste reduction. It is recommended that future research be undertaken with expanding datasets, more features, and richer feature engineering to enhance predictive power.
Comparison of Pheromone Lures and Sticky Pad Color for Capturing Tuta absoluta (Lepidoptera: Gelechiidae)
Authors: Sadique Muhammad , Ishtiaq Muhammad , Qayyum Mirza Abdul , Alkherb Wafa A. H. , Abbasi Asim , Arshad Muhammad , Ullah Unsar Naeem , Faried Nazar , Akram Muhammad Irfan , Rebouh Nazih Y.
Published: January 2025

Tomato leaf miner Tuta absoluta (Meyrick) (Lepidoptera: Gelechiidae) has gained the status of major pest globally. Integrated pest management (IPM) consists of different control methods. This field study was conducted to evaluate the influence of different pheromone-based traps to attract the male population and the potential of sticky pads of four different colors in capturing the adults in the absence of pheromone lures. The trials were conducted in Khyber Pakhtunkhwa (Pakistan) for two consecutive years, 2020 and 2021. The Delta trap with rubber septum type lure was significantly more attractive in both years, with mean number of capturing 76.0 and 86.17, as compared to polymer wax (32.83 and 28.2) and polymer vial (10.37 and 11.77), lures. The highest mean number of capturing of T. absoluta adults were noted as 17.93 and 21.73 with black color sticky trap without pheromone, whereas the lowest number of adults, i.e., 1.33 and 1.47, were captured during the first and second year of the study, respectively, with yellow color sticky traps. However, a significant difference was found in pheromone lures and among black, red, green, and yellow color sticky pads. Hence, Delta traps equipped with rubber septum pheromones lures and black colored sticky pads were more useful for the control of T. absoluta than any other colored sticky pads and pheromone lures alone. These findings could be helpful for the integrated management of T. absoluta.
Interspecific Competition Between Eotetranychus sexmaculatus Riley and Oligonychus biharensis Hirst (Acari: Tetranychidae)
Authors: Zheng Lijiu , Zhang Yong , Shi Xia , Gan Wei , Zhang Fangping , Fu Yueguan , Liu Ya , Chen Junyu , Ye Zhengpei
Published: January 2025

Eotetranychus sexmaculatus has long been recognized as an important spider mite pest of rubber trees. Recently, increasing damage from Oligonychus biharensis has elevated its importance as a key spider mite pest. These two species share highly overlapping ecological niches, with outbreaks strongly associated with high temperatures and drought stresses. However, little is known regarding the potential competition between these spider mite species and the role of temperature in shaping these interactions. This study investigates the development and reproduction of E. sexmaculatus and O. biharensis at varying population densities, and evaluates their dynamics at 27 °C, 30 °C, and 33 °C. Five initial population densities of E. sexmaculatus and O. biharensis were evaluated in mixed populations: 0:30, 10:20, 15:15, 20:10, and 30:0. The results demonstrate both intra- and interspecific competition between E. sexmaculatus and O. biharensis. At all three intraspecific densities, the survival rate and lifespan of both species declined as density increased, with fecundity also decreasing at higher densities. Single-species populations of each mite were larger in number when compared with mixed populations. Across all treatments, the mean and peak values of the intrinsic rate of increase (rm) were greater in O. biharensis than in E. sexmaculatus. Additionally, increasing temperatures accelerated the displacement of E. sexmaculatus by O. biharensis, regardless of the initial population density. When the mixed populations of E. sexmaculatus and O. biharensis were at densities of 10:20, the highest interspecific competition coefficients were obtained at 33 °C, with values of 0.6591. In conclusion, O. biharensis consistently outcompeted E. sexmaculatus at all tested temperatures, irrespective of initial densities, providing valuable insights into the competitive dynamics of dominant rubber tree pests.
From a Few Cardiovascular Risk Factors to the Prediction of Age at Death: The Shifting Interests of Cardiovascular Epidemiologists
Authors: Menotti Alessandro , Puddu Paolo Emilio
Published: January 2025

We describe the changing research interests and goals of the responsible investigators of the Italian Rural Areas (IRA) of the Seven Countries Study of cardiovascular diseases (CVD) during a period of 60 years, dealing with a cohort of middle-aged men. Our initial interest was to discover the basic risk factors of coronary heart disease (CHD). Subsequently, the same problem was tackled regarding stroke and heart diseases of uncertain etiology. Later on, cancer deaths also became an end-point for which risk factors were investigated. The long duration of the study and the fact that CVD and cancer fatalities already cover 70% of all-cause mortality prompted the idea to focus on all-cause mortality, and particularly on age-at-death when the follow-up period reached 61 years together with the extinction of the cohort. At that point, a larger number of risk factors measured at baseline, including those which were unable to predict CVD, became the determinants of all-cause mortality and age-at-death, a metric that summarizes the life-span of health and disease. This study is supported by the presentation of data derived from published papers.
Short-Term Efficacy and Safety of Scleral Lenses in the Management of Severe Dry Eye in a Chinese Population
Authors: Lu Chuwei , Han Danjie , Zeng Li , Hong Jiaxu , Fadel Daddi , Zhou Xingtao , Chen Zhi , Le Qihua
Published: January 2025

Background: Scleral lenses (SLs) are recommended in DEWS II to treat dry eye (DE) patients that do not respond well to conventional therapies. This study aimed to evaluate the short-term (one month) efficacy and safety of SLs in the management of severe DE. Methods: This single-center prospective study enrolled 15 patients (22 eyes) who were diagnosed with severe DE. The Ocular Surface Disease Index (OSDI), the Chinese version of the 25-item National Eye Institute Visual Function Questionnaire (CHI-VFQ-25), and LogMAR best-corrected visual acuity (BCVA) were evaluated at baseline and one month following SL fitting. DE-related parameters were obtained and analyzed before and after one month of SL treatment, including tear-film breakup time (TBUT), corneal fluorescein staining (CFS), non-invasive breakup time (NIBUT), tear meniscus height (TMH), Schirmer I test (SIT), and meibomian gland (MG) dropout. Complications and adverse events were monitored. Results: OSDI scores (53.9 ± 28.1 vs. 10.4 (4.2–25), p = 0.0001) and CFS scores (10.2 ± 3.9 vs. 7 (0–12), p = 0.001) decreased after one month of SL therapy, while CHI-VFQ-25 scores (74.4 (54.8–83.8) vs. 95 (78.7–98), p = 0.0001) and TBUT (0.6 ± 0.5 vs. 2.2 ± 1.0, p < 0.0001) increased significantly. LogMAR BCVA improved from 0 (0–0.1) to 0 (0–0) (p = 0.0147). The average types of medications per eye decreased from 2.82 ± 1.01 to 1.32 ± 0.64 (p = 0.025), and the proportion of eyes using glucocorticoids significantly decreased from 63.6% to 13.6% (p = 0.001). No severe SL-related adverse events were reported. Conclusions: SL treatment quickly alleviated subjective symptoms as well as clinical signs of DE with good safety and enhanced the visual function and vision-related quality of life, showing its usefulness in the management of severe DE.
A Treat-to-Target Approach in IBD: Contemporary Real-World Perspectives from an International Survey
Authors: Sharip Mohmmed Tauseef , Brezina Biljana , De La Revilla Negro Juan , Subramanian Sreedhar , Parkes Miles , Raine Tim , Noor Nurulamin M.
Published: January 2025

Background/Objectives: The management of inflammatory bowel disease (IBD) varies due to differences in healthcare systems, treatment costs, access to diagnostics, and diverse clinical practices between specialists. Despite the frequent advocacy of a treat-to-target (T2T) approach, there is insufficient clarity on how clinicians implement T2T in real-world settings. We aim to conduct a large, global survey among IBD experts to identify current practices in management. Methods: A prospective, cross-sectional study was conducted using a 16-item survey divided into two sections—for ulcerative colitis (UC) and Crohn’s disease (CD)—and distributed to practicing IBD clinicians. Results: A total of 261 respondents from 88 countries participated in the survey, with the majority (253/261) being physicians and eight being IBD nurse specialists. Despite global guidance, only a quarter of the respondents routinely perform an endoscopy to assess the response after starting an advanced therapy (28.4% in UC vs. 23.5% in CD). Moreover, despite an increasing academic focus on intestinal ultrasound (IUS), 171 (66%) of respondents in UC and 132 (51%) in CD reported that they do not routinely undertake IUS to guide treatment decisions. Faecal calprotectin for monitoring treatment response was routinely used by 87% (90% in UC and 84% in CD) of the respondents. Forty-five percent reported use of therapeutic drug monitoring (TDM) both proactively and reactively and 35% reported only using TDM reactively. Conclusions: Our study shows considerable variation in IBD management across different countries and interpretation of the T2T approach. This highlights the need for standardised and pragmatic guidelines to help improve outcomes for patients with IBD globally.