Sign in to use this feature.

Years

Between: -

Subjects

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Journals

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Article Types

Countries / Regions

remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline
remove_circle_outline

Search Results (19,568)

Search Parameters:
Keywords = population control

Order results
Result details
Results per page
Select all
Export citation of selected articles as:
20 pages, 1854 KB  
Article
Encapsulated Probiotics in Orange Juice: Survival During Storage, GIT Simulation, and Impact on Co-Inoculated Salmonella enterica Strains
by Stamatia Vitsou-Anastasiou, Olga S. Papadopoulou, Agapi I. Doulgeraki, Aikaterini Frantzi, Ismini-Maria Patsopoulou, Anthoula Argyri, Nikos Chorianopoulos, Chrysoula C. Tassou and George-John Nychas
Appl. Sci. 2025, 15(19), 10726; https://doi.org/10.3390/app151910726 (registering DOI) - 5 Oct 2025
Abstract
This study evaluated the survival of encapsulated and free probiotic strains (Lacticaseibacillus paracasei Shirota and Lacticaseibacillus rhamnosus GG) in orange juice during storage and in simulated gastrointestinal tract (GIT) conditions and their effect on the survival of Salmonella enterica. Samples were [...] Read more.
This study evaluated the survival of encapsulated and free probiotic strains (Lacticaseibacillus paracasei Shirota and Lacticaseibacillus rhamnosus GG) in orange juice during storage and in simulated gastrointestinal tract (GIT) conditions and their effect on the survival of Salmonella enterica. Samples were inoculated with free or encapsulated probiotics in whey protein isolate–gum Arabic matrix in 9.00 log CFU/mL population level and were stored at 4 °C and 12 °C for five days. Additionally, samples were co-inoculated with S. enterica 3-strain cocktail at 1.70 log CFU/mL. Samples were withdrawn daily, and microbiological analysis, pH, and sensory evaluation were conducted. Survival of probiotics and the pathogen were further assessed under GIT simulation conditions. Results demonstrated that both free and encapsulated probiotics maintained high population levels (9.00 log CFU/mL) during storage. During GIT simulation, free probiotic population reduced to 3.80 log CFU/mL, in contrast to the encapsulated cells that remained at 6.80–7.00 log CFU/mL after 2 h of the intestinal phase, confirming the protective role of microencapsulation. S. enterica population survived in control and when co-cultured with encapsulated probiotics until the end of storage in populations of 1.7 ± 0.06 log CFU/mL; however, it was reduced to 0.80 log CFU/mL when co-cultured with free probiotics. Salmonella survived during GIT simulation, in control samples, whereas the pathogen co-cultured with probiotics lead to complete S. enterica elimination. Notably, during the intestinal phase, the encapsulated probiotics effectively eliminated S. enterica, maintaining their viability in high population levels. These results highlight that encapsulating probiotics can improve both the functional and sensory characteristics of probiotic fruit juices while supporting high probiotic viability and thus suppression of pathogenic microorganisms in the intestinal environment. Full article
(This article belongs to the Special Issue Innovations in Natural Products and Functional Foods)
26 pages, 4175 KB  
Article
Rhizosphere Engineering in Saline Soils: Role of PGPR and Organic Manures in Root–Soil Biochemical Interactions for Allium Crops
by Tarek Alshaal, Nevien Elhawat and Szilvia Veres
Plants 2025, 14(19), 3075; https://doi.org/10.3390/plants14193075 (registering DOI) - 4 Oct 2025
Abstract
Soil salinity disrupts rhizosphere interactions, impairing root–microbe symbioses, nutrient uptake, and water relations in onion (Allium cepa L.) and garlic (Allium sativum L.). This study evaluated the efficacy of biofertilizers (Azotobacter chroococcum SARS 10 and Azospirillum lipoferum SP2) and organic [...] Read more.
Soil salinity disrupts rhizosphere interactions, impairing root–microbe symbioses, nutrient uptake, and water relations in onion (Allium cepa L.) and garlic (Allium sativum L.). This study evaluated the efficacy of biofertilizers (Azotobacter chroococcum SARS 10 and Azospirillum lipoferum SP2) and organic amendments (sewage sludge and poultry manure) in salt-affected soils in Kafr El-Sheikh, Egypt. Five treatments were applied: (T1) control (no amendments); (T2) biofertilizer (3 L/ha for onion, 12 L/ha for garlic) + inorganic P (150 kg/ha P2O5 for onion, 180 kg/ha for garlic) and K (115 kg/ha K2SO4 for onion, 150 kg/ha for garlic); (T3) 50% inorganic N (160 kg/ha for onion, 127.5 kg/ha for garlic) + 50% organic manure (6000 kg/ha for onion, 8438 kg/ha for garlic) + P and K; (T4) biofertilizer + T3; and (T5) conventional inorganic NPK (320 kg/ha N for onion, 255 kg/ha N for garlic + P and K). Soil nutrients (N, P, K), microbial biomass carbon (MBC), dehydrogenase activity, and microbial populations were analyzed using standard protocols. Plant growth (chlorophyll, photosynthetic rate), stress indicators (malondialdehyde, proline), and yield (bulb diameter, fresh yield) were measured. Treatment T4 increased MBC by 30–40%, dehydrogenase activity by 25–35%, available N (39.7 mg/kg for onion, 35.7 mg/kg for garlic), P (17.9 mg/kg for onion), and K (108 mg/kg for garlic). Soil organic matter rose by 8–12%, and cation exchange capacity by 26–36%. Chlorophyll content improved by 25%, malondialdehyde decreased by 20–30%, and fresh yields increased by 20–30% (12.17 tons/ha for garlic). A soybean bioassay confirmed sustained fertility with 20–25% higher dry weight and 30% greater N uptake in T4 plots. These findings highlight biofertilizers and organic amendments as sustainable solutions for Allium productivity in saline rhizospheres. Full article
(This article belongs to the Topic Plant-Soil Interactions, 2nd Volume)
Show Figures

Figure 1

16 pages, 3389 KB  
Article
Elevated Serum Levels of miRNA-155 in Children with Atopic Dermatitis: A Potential Biomarker of Disease
by Natalia Gołuchowska, Aldona Ząber, Sylwia Walczewska, Agata Będzichowska, Klaudia Brodaczewska, Aleksandra Majewska, Bolesław Kalicki and Agata Tomaszewska
Int. J. Mol. Sci. 2025, 26(19), 9689; https://doi.org/10.3390/ijms26199689 (registering DOI) - 4 Oct 2025
Abstract
Atopic dermatitis (AD) is the most common inflammatory skin disease in the pediatric population. In recent years, the role of microRNAs in inflammatory and immunological mechanisms as specific biomarkers of AD has received growing attention. The aim of the present study was a [...] Read more.
Atopic dermatitis (AD) is the most common inflammatory skin disease in the pediatric population. In recent years, the role of microRNAs in inflammatory and immunological mechanisms as specific biomarkers of AD has received growing attention. The aim of the present study was a quantitative assessment of serum expression levels of miR-100, miR-224 and miR-155 in children with AD compared with healthy peers, and an analysis of their potential associations with clinical disease phenotype, severity of skin lesions (SCORAD), cytokine profile, immunological parameters and the presence of concomitant allergic diseases. The study included 12 children with AD and 9 healthy children. Selected miRNAs were isolated from serum, followed by reverse transcription using universal primers and quantification by qRT-PCR. Children with AD exhibited significantly higher expression levels of miR-155 compared with controls (p = 0.003). No statistically significant differences were observed for miR-100 and miR-224. miR-100 expression was significantly higher in children with a positive history of inhalant allergy compared with those without such a diagnosis (p = 0.014). A positive correlation was observed between miR-100 levels and the percentage of eosinophils (r = 0.599; p = 0.052) as well as absolute eosinophil count (r = 0.600; p = 0.051). MiR-155 is significantly upregulated in children with AD suggesting it as a candidate biomarker worthy of further investigation in larger cohorts. Although miR-100 did not differentiate the groups, its correlation with eosinophilia and inhalant allergy suggests a role in disease phenotyping. Full article
(This article belongs to the Special Issue Molecular Research on Skin Inflammation)
Show Figures

Figure 1

19 pages, 1327 KB  
Article
An IoT Architecture for Sustainable Urban Mobility: Towards Energy-Aware and Low-Emission Smart Cities
by Manuel J. C. S. Reis, Frederico Branco, Nishu Gupta and Carlos Serôdio
Future Internet 2025, 17(10), 457; https://doi.org/10.3390/fi17100457 (registering DOI) - 4 Oct 2025
Abstract
The rapid growth of urban populations intensifies congestion, air pollution, and energy demand. Green mobility is central to sustainable smart cities, and the Internet of Things (IoT) offers a means to monitor, coordinate, and optimize transport systems in real time. This paper presents [...] Read more.
The rapid growth of urban populations intensifies congestion, air pollution, and energy demand. Green mobility is central to sustainable smart cities, and the Internet of Things (IoT) offers a means to monitor, coordinate, and optimize transport systems in real time. This paper presents an Internet of Things (IoT)-based architecture integrating heterogeneous sensing with edge–cloud orchestration and AI-driven control for green routing and coordinated Electric Vehicle (EV) charging. The framework supports adaptive traffic management, energy-aware charging, and multimodal integration through standards-aware interfaces and auditable Key Performance Indicators (KPIs). We hypothesize that, relative to a static shortest-path baseline, the integrated green routing and EV-charging coordination reduce (H1) mean travel time per trip by ≥7%, (H2) CO2 intensity (g/km) by ≥6%, and (H3) station peak load by ≥20% under moderate-to-high demand conditions. These hypotheses are tested in Simulation of Urban MObility (SUMO) with Handbook Emission Factors for Road Transport (HBEFA) emission classes, using 10 independent random seeds and reporting means with 95% confidence intervals and formal significance testing. The results confirm the hypotheses: average travel time decreases by approximately 9.8%, CO2 intensity by approximately 8%, and peak load by approximately 25% under demand multipliers ≥1.2 and EV shares ≥20%. Gains are attenuated under light demand, where congestion effects are weaker. We further discuss scalability, interoperability, privacy/security, and the simulation-to-deployment gap, and outline priorities for reproducible field pilots. In summary, a pragmatic edge–cloud IoT stack has the potential to lower congestion, reduce per-kilometer emissions, and smooth charging demand, provided it is supported by reliable data integration, resilient edge services, and standards-compliant interoperability, thereby contributing to sustainable urban mobility in line with the objectives of SDG 11 (Sustainable Cities and Communities). Full article
Show Figures

Figure 1

17 pages, 1562 KB  
Article
Adapting the Illumina COVIDSeq for Whole Genome Sequencing of Other Respiratory Viruses in Multiple Workflows and a Single Rapid Workflow
by Nqobile Mthembu, Sureshnee Pillay, Hastings Twalie Musopole, Shirelle Janine Naidoo, Nokukhanya Msomi, Bertha Cinthia Baye, Derek Tshiabuila, Nokulunga Zamagambu Memela, Thembelihle Tombo, Tulio de Oliveira and Jennifer Giandhari
LabMed 2025, 2(4), 19; https://doi.org/10.3390/labmed2040019 (registering DOI) - 4 Oct 2025
Abstract
Acute respiratory infections (ARIs) continue to pose a major global health threat, particularly among vulnerable populations. These infections often present with similar clinical symptoms, complicating accurate diagnosis and facilitating unmonitored transmissions. Genomic surveillance has emerged as an invaluable tool for pathogen identification and [...] Read more.
Acute respiratory infections (ARIs) continue to pose a major global health threat, particularly among vulnerable populations. These infections often present with similar clinical symptoms, complicating accurate diagnosis and facilitating unmonitored transmissions. Genomic surveillance has emerged as an invaluable tool for pathogen identification and monitoring of such infectious pathogens; however, its implementation is frequently limited by high costs. The widespread use of high-throughput sequencing during the COVID-19 pandemic has created an opportunity to repurpose existing genomic platforms for broader respiratory virus surveillance. In this study, we evaluated the feasibility of adapting the Illumina COVIDSeq assay—initially designed for SARS-CoV-2 whole-genome sequencing—for use with Influenza A/B, Respiratory Syncytial Virus (RSV), and Rhinovirus. Positive control samples were processed using two approaches for library preparation: four virus-specific multiple workflows and a combined rapid workflow. Both workflows incorporated pathogen-specific primers for amplification and followed the Illumina COVIDSeq protocol for library preparation and sequencing. Sequencing quality metrics were analysed, including Phred scores, read length distribution, and coverage depth. The study did not identify significant differences in genome coverage and genetic diversity metrics between workflows. Genome Detective consistently identified the correct species across both methods. The findings of this study demonstrate that the COVIDSeq assay can be effectively adapted for multi-pathogen genomic surveillance and that the combined rapid workflow can offer a cost- and labour-efficient alternative with minimal compromise to data quality. Full article
(This article belongs to the Special Issue Rapid Diagnostic Methods for Infectious Diseases)
Show Figures

Figure 1

17 pages, 6223 KB  
Systematic Review
Effects of Bonded Rapid Palatal Expander on Vertical Dimension: A Systematic Review and Meta-Analysis
by Sarah Horne, Doyeon Sung, Hugo Cesar Campos, Shahd Habeb, Luca Sfogliano, Chun-Hsi Chung and Chenshuang Li
J. Clin. Med. 2025, 14(19), 7035; https://doi.org/10.3390/jcm14197035 (registering DOI) - 4 Oct 2025
Abstract
Objectives: The current study aimed to summarize the current evidence on vertical control provided by the bonded rapid palatal expander (BRPE) in pediatric patient populations within 6 months after expansion. Methods: Relevant studies were screened independently by two researchers from the eight databases [...] Read more.
Objectives: The current study aimed to summarize the current evidence on vertical control provided by the bonded rapid palatal expander (BRPE) in pediatric patient populations within 6 months after expansion. Methods: Relevant studies were screened independently by two researchers from the eight databases MEDLINE (PubMed), Web of Science, SCOPUS, Embase, Cochrane, LILACS (Latin American and Caribbean Health Sciences Literature), LIVIVO and Google Scholar, and supplemented by a manual search of the reference lists from studies selected for full-manuscript reading. Relevant data from lateral cephalograms taken pre- and post-expansion was extracted. A meta-analysis was performed with RStudio and a risk of bias assessment of the included articles was completed. Results: Ten relevant studies were included for data extraction, although most had a high risk of bias. The meta-analysis revealed that within 6-month retention after BRPE treatment, there were (1) slight increases in total (0.83 mm), upper (0.57 mm), and lower (0.70 mm) facial height; (2) minimum change in the palatal plane angulation (−0.01°); (3) minimum change in the occlusal angulation (−0.04°); and (4) minimal mandibular plane angulation changes with 0.01° increase in SN-GoGn angle, 0.71° increase in SN-MP angle, 0.17° increase in FMA, and 0.82° increase in PP-GoGn angle. Conclusion: Current evidence indicates that BRPEs may not control or reduce the vertical dimension significantly within 6 months after expansion. Further high-quality studies, particularly on hyperdivergent patients, are needed to clarify whether bonded expanders offer advantages over traditional banded expanders in management of the vertical dimension. Full article
30 pages, 1778 KB  
Article
AI, Ethics, and Cognitive Bias: An LLM-Based Synthetic Simulation for Education and Research
by Ana Luize Bertoncini, Raul Matsushita and Sergio Da Silva
AI Educ. 2026, 1(1), 3; https://doi.org/10.3390/aieduc1010003 (registering DOI) - 4 Oct 2025
Abstract
This study examines how cognitive biases may shape ethical decision-making in AI-mediated environments, particularly within education and research. As AI tools increasingly influence human judgment, biases such as normalization, complacency, rationalization, and authority bias can lead to ethical lapses, including academic misconduct, uncritical [...] Read more.
This study examines how cognitive biases may shape ethical decision-making in AI-mediated environments, particularly within education and research. As AI tools increasingly influence human judgment, biases such as normalization, complacency, rationalization, and authority bias can lead to ethical lapses, including academic misconduct, uncritical reliance on AI-generated content, and acceptance of misinformation. To explore these dynamics, we developed an LLM-generated synthetic behavior estimation framework that modeled six decision-making scenarios with probabilistic representations of key cognitive biases. The scenarios addressed issues ranging from loss of human agency to biased evaluations and homogenization of thought. Statistical summaries of the synthetic dataset indicated that 71% of agents engaged in unethical behavior influenced by biases like normalization and complacency, 78% relied on AI outputs without scrutiny due to automation and authority biases, and misinformation was accepted in 65% of cases, largely driven by projection and authority biases. These statistics are descriptive of this synthetic dataset only and are not intended as inferential claims about real-world populations. The findings nevertheless suggest the potential value of targeted interventions—such as AI literacy programs, systematic bias audits, and equitable access to AI tools—to promote responsible AI use. As a proof-of-concept, the framework offers controlled exploratory insights, but all reported outcomes reflect text-based pattern generation by an LLM rather than observed human behavior. Future research should validate and extend these findings with longitudinal and field data. Full article
Show Figures

Figure 1

24 pages, 1040 KB  
Article
The SIOA Algorithm: A Bio-Inspired Approach for Efficient Optimization
by Vasileios Charilogis, Ioannis G. Tsoulos, Dimitrios Tsalikakis and Anna Maria Gianni
AppliedMath 2025, 5(4), 135; https://doi.org/10.3390/appliedmath5040135 (registering DOI) - 4 Oct 2025
Abstract
The Sporulation-Inspired Optimization Algorithm (SIOA) is an innovative metaheuristic optimization method inspired by the biological mechanisms of microbial sporulation and dispersal. SIOA operates on a dynamic population of solutions (“microorganisms”) and alternates between two main phases: sporulation, where new “spores” are generated through [...] Read more.
The Sporulation-Inspired Optimization Algorithm (SIOA) is an innovative metaheuristic optimization method inspired by the biological mechanisms of microbial sporulation and dispersal. SIOA operates on a dynamic population of solutions (“microorganisms”) and alternates between two main phases: sporulation, where new “spores” are generated through adaptive random perturbations combined with guided search towards the global best, and germination, in which these spores are evaluated and may replace the most similar and less effective individuals in the population. A distinctive feature of SIOA is its fully self-adaptive parameter control, where the dispersal radius and the probabilities of sporulation and germination are dynamically adjusted according to the progress of the search (e.g., convergence trends of the average fitness). The algorithm also integrates a special “zero-reset” mechanism, enhancing its ability to detect global optima located near the origin. SIOA further incorporates a stochastic local search phase to refine solutions and accelerate convergence. Experimental results demonstrate that SIOA achieves high-quality solutions with a reduced number of function evaluations, especially in complex, multimodal, or high-dimensional problems. Overall, SIOA provides a robust and flexible optimization framework, suitable for a wide range of challenging optimization tasks. Full article
Show Figures

Figure 1

14 pages, 3243 KB  
Article
Fine-Mapping of a Red-Skinned Taproot Gene in Radish (Raphanus sativus L.)
by Zhao Liu, Zhenzhen Li, Gaizhen Li and Linyi Qiao
Plants 2025, 14(19), 3065; https://doi.org/10.3390/plants14193065 - 3 Oct 2025
Abstract
The skin color of radish taproots is an important commodity character that directly affects the choice behavior of consumers. Here, we identified a skin color gene carried by a red-skinned inbred line, SXAU-R2. Genetic population was constructed by the crossing of SXAU-R2 and [...] Read more.
The skin color of radish taproots is an important commodity character that directly affects the choice behavior of consumers. Here, we identified a skin color gene carried by a red-skinned inbred line, SXAU-R2. Genetic population was constructed by the crossing of SXAU-R2 and a white-skinned inbred line, SXAU-W2, and the taproots of F1 plants exhibited intermediate color. In the F2 population, the separation ratio of taproot skin color indicated that the phenotype was controlled by one major locus, named RST1 (Red-Skinned Taproot 1). Combined with bulked segregant analysis and RNA sequencing (BSA-seq), 2640 single nucleotide polymorphisms (SNPs) were detected between the annotated genes of the red skin bulk and white skin bulk. Molecular markers were developed in the SNP-enriched 27~32 Mbp region of chromosome 7, and then RST1 was mapped in the genetic interval between flanking markers SSR-14 and SSR-22. Using F2:3 lines derived from a key F2 heterozygote, RST1 was narrowed down into a 530 Kbp interval. There were 46 expressed annotated genes in the fine-mapping region, and a gene encoding MYB was selected as the candidate of RST1. Finally, based on Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analysis and RT-qPCR, we identified the potential interacting genes RsbHLH and RsWD, as well as the latent target genes RsDFR and RsANS of RST1 in the anthocyanin synthesis pathway. These results provide an understanding of the genetic mechanisms regulating anthocyanin synthesis and offer an efficient molecular marker for the radish breeding of skin color. Full article
(This article belongs to the Special Issue Genetic Mapping of Agronomic Traits in Crops)
Show Figures

Figure 1

18 pages, 856 KB  
Article
Blackgrass (Alopecurus myosuroides Huds.) Multiple Resistance to ACCase- and ALS-Inhibitors and Its Competition with Winter Wheat
by Aristeidis P. Papapanagiotou, Ioannis Vasilakoglou, Maria V. Alvanou, Ioannis A. Giantsis, Panagiotis Madesis and Ilias G. Eleftherohorinos
Genes 2025, 16(10), 1169; https://doi.org/10.3390/genes16101169 - 3 Oct 2025
Abstract
Background/Objectives: The herbicide resistance of blackgrass (Alopecurus myosuroides Huds.) is one of the most serious problems in the winter cereal monoculture in Europe. Recently, Greek farmers expressed complaints of reduced susceptibility of this weed to winter wheat herbicides. Keeping this in mind, [...] Read more.
Background/Objectives: The herbicide resistance of blackgrass (Alopecurus myosuroides Huds.) is one of the most serious problems in the winter cereal monoculture in Europe. Recently, Greek farmers expressed complaints of reduced susceptibility of this weed to winter wheat herbicides. Keeping this in mind, this study focused on the investigation of blackgrass resistance to herbicides at both phenotypic and molecular levels. Methods: Whole-plant rate-response pot assays were conducted to study the possible evolution of resistance (cross- or multiple-resistance) in a blackgrass population to ACCase- and ALS-inhibiting herbicides. Analysis of the ACCase gene sequence, herbicide metabolism study and competition with winter wheat studies were also conducted. Results: High levels of cross-resistance mainly to the ACCase post-emergence clodinafop-propargyl, medium to fenoxaprop-P-ethyl, cycloxydim, pinoxaden, as well as lower levels of resistance to ALS-inhibitors (mesosulfuron-methyl + iodosulfuron-methyl-sodium and pyroxsulam) were confirmed. In addition, the pre-emergence soil-applied herbicides chlorotoluron + diflufenican and prosulfocarb provided excellent control of the S and R blackgrass populations. The analysis of the ACCase gene sequence revealed a point mutation at position 1781, resulting in an amino acid substitution from isoleucine (Ile) to leucine (Leu). Furthermore, the combined application of the herbicides with piperonyl butoxide (PBO, applied 2 h before herbicide application) indicated that there was herbicide metabolism, which may be mediated by cytochrome P450. The R blackgrass population, when grown in competitive interaction with winter wheat, produced more tillers and aboveground fresh weight compared to the S population and caused greater reduction in winter wheat. Conclusions: The results suggest that a blackgrass population has developed multiple resistance to ACCase- and ALS-inhibiting herbicides, due to ACCase gene mutation and herbicide metabolism. No fitness cost and no compromised competitive ability associated with the blackgrass resistance were observed. Full article
(This article belongs to the Special Issue Forage and Grass Genetics and Genomics)
17 pages, 1330 KB  
Article
Insecticidal Efficacy of Satureja hortensis L. and Satureja khuzistanica Jamzad Essential Oils Against Callosobruchus maculatus (F.)
by Asgar Ebadollahi, Bahram Naseri, Aysona Aghcheli and William N. Setzer
Plants 2025, 14(19), 3062; https://doi.org/10.3390/plants14193062 - 3 Oct 2025
Abstract
The cowpea weevil, Callosobruchus maculatus (F.), stands out as one of the most destructive field-to-storage pests of leguminous crops. This study investigates the potential of essential oils derived from two Satureja species, Satureja hortensis L. and Satureja khuzistanica Jamzad, for managing C. maculatus [...] Read more.
The cowpea weevil, Callosobruchus maculatus (F.), stands out as one of the most destructive field-to-storage pests of leguminous crops. This study investigates the potential of essential oils derived from two Satureja species, Satureja hortensis L. and Satureja khuzistanica Jamzad, for managing C. maculatus. Bioassay results revealed that both S. hortensis (72 h LC50 = 0.20 µL/g) and S. khuzistanica (72 h LC50 = 0.19 µL/g) essential oils exhibited significant toxicity against C. maculatus adults. The essential oils extended development time, reduced adult longevity, and decreased fecundity of the pest. Key population parameters, including intrinsic growth rate (r) and net reproductive rate (R0), were significantly lowered, particularly by S. hortensis essential oil. Age-specific survival (lx) and fecundity (mx) rates were also declined in treated groups, with delayed reproductive peaks compared to controls. Chemical analyses of S. hortensis and S. khuzistanica essential oils indicated that carvacrol (30.9% and 62.9%, respectively), γ-terpinene (25.5% and 4.3%), p-cymene (9.7% and 7.9%), and thymol (3.7% and 9.3%) were the major components. Hierarchical cluster analysis (HCA) was carried out to compare and contrast the compositions with previous works. The results demonstrated that S. hortensis and S. khuzistanica essential oils, given their lethal and sublethal effects against C. maculatus, can be introduced as natural alternatives to hazardous chemical insecticides, highlighting the need for further research in this field. Full article
(This article belongs to the Special Issue Biopesticides for Plant Protection)
Show Figures

Figure 1

23 pages, 1357 KB  
Review
Head-to-Head in Heart Failure: Comparative Insights on Empagliflozin and Dapagliflozin
by Dragos Cozma, Cristina Văcărescu and Claudiu Stoicescu
Biomedicines 2025, 13(10), 2422; https://doi.org/10.3390/biomedicines13102422 - 3 Oct 2025
Abstract
Heart failure (HF) remains a leading cause of morbidity and mortality globally, with increasing prevalence driven by aging populations and comorbidities such as diabetes mellitus. Recent advances have highlighted sodium-glucose cotransporter-2 (SGLT2) inhibitors, particularly empagliflozin and dapagliflozin, as effective agents in HF management [...] Read more.
Heart failure (HF) remains a leading cause of morbidity and mortality globally, with increasing prevalence driven by aging populations and comorbidities such as diabetes mellitus. Recent advances have highlighted sodium-glucose cotransporter-2 (SGLT2) inhibitors, particularly empagliflozin and dapagliflozin, as effective agents in HF management across a broad spectrum of ejection fractions. Initially developed for glycemic control in type 2 diabetes, both drugs have demonstrated significant cardiovascular benefits, including reductions in HF hospitalizations and improvements in symptoms and quality of life. Their mechanisms extend beyond glucose lowering, involving natriuresis, osmotic diuresis, improved myocardial energetics, reduced sympathetic activation, and anti-inflammatory effects. While empagliflozin and dapagliflozin share a core renal mechanism via selective SGLT2 inhibition, subtle differences in pharmacokinetics, potency, and tissue selectivity may influence their clinical profiles. Emerging evidence suggests empagliflozin may confer stronger benefits in heart failure with reduced ejection fraction (HFrEF), while dapagliflozin could offer enhanced efficacy in heart failure with preserved ejection franction (HFpEF), although head-to-head comparisons are lacking. This review synthesizes current evidence comparing the mechanisms of action and clinical performance of empagliflozin and dapagliflozin in HF, providing insight into agent selection and future directions in therapy personalization. Full article
(This article belongs to the Section Molecular and Translational Medicine)
Show Figures

Figure 1

13 pages, 296 KB  
Article
Effects of Integrating Football eSports into an Ecological–Dynamic Approach on the Development of Linear Speed in Young Soccer Players
by Rosario Ceruso, Tiziana D’Isanto, Italo Sannicandro, Antonio Tessitore and Francesca D’Elia
Sci 2025, 7(4), 142; https://doi.org/10.3390/sci7040142 - 3 Oct 2025
Abstract
Football-themed eSports, combining entertainment and learning elements, are booming, offering benefits in terms of cognitive and motor skill development. Despite this, with the increasing use of eSports and their impact on cognitive and motor skills, there is still a paucity of empirical studies [...] Read more.
Football-themed eSports, combining entertainment and learning elements, are booming, offering benefits in terms of cognitive and motor skill development. Despite this, with the increasing use of eSports and their impact on cognitive and motor skills, there is still a paucity of empirical studies that systematically explore how cognitive stimulation from eSports can translate into psychomotor performance on the field, particularly with regard to linear speed. The aim of this study was to investigate the effects of an ecological–dynamic training protocol, integrated with football eSports, on the development of linear sprint speed in young soccer players. Thirty-two male youth football players (age range: 12–16 years) participated in the study. Participants were divided into an experimental group, which followed a combined ecological–dynamic training protocol including football eSports, and a control group, which performed standard training sessions. Pre- and post-intervention assessments of 30 m sprint performance were conducted using electronic timing gates. Statistical analysis using repeated-measures ANOVA indicated a marked improvement in 30 m sprint performance within the experimental group, decreasing from 4.908 s to 4.651 s. A significant time × group interaction was observed (F = 74.076, p < 0.001). Moreover, a robust main effect of time emerged (F = 141.12, p < 0.001), confirming consistent gains in linear sprint speed. Post hoc comparisons revealed significant differences across all assessment points (p < 0.001). The findings suggest that embedding football eSports into an ecologically grounded training framework may enhance the development of linear speed in young soccer players. This integrated approach shows potential as an innovative tool for performance enhancement, although further investigations are needed to confirm long-term efficacy and generalizability to other sporting populations. Full article
Show Figures

Figure 1

16 pages, 600 KB  
Article
Uric Acid and Impulse Control Disorders in Parkinson’s Disease: A Cross-Sectional Analysis
by Mateusz Toś, Agata Dymek, Agata Morka, Paulina Włodarczyk and Joanna Siuda
Medicina 2025, 61(10), 1789; https://doi.org/10.3390/medicina61101789 - 3 Oct 2025
Abstract
Background and Objectives: Impulse control disorders (ICDs) are frequent non-motor complications of Parkinson’s disease (PD), usually related to dopaminergic therapy. Uric acid (UA) has been studied as a biomarker of PD severity and has been linked to impulsivity in non-PD populations. However, its [...] Read more.
Background and Objectives: Impulse control disorders (ICDs) are frequent non-motor complications of Parkinson’s disease (PD), usually related to dopaminergic therapy. Uric acid (UA) has been studied as a biomarker of PD severity and has been linked to impulsivity in non-PD populations. However, its association with ICDs in patients with PD (PwPs) has not been investigated. This study aimed to assess the relationship between serum UA levels, the uric acid to creatinine ratio (UA/Cr), and ICD prevalence in PwPs. Materials and Methods: We enrolled 172 PwPs hospitalized for follow-up or treatment modification. ICDs were screened with the Questionnaire for Impulsive-Compulsive Disorders in Parkinson’s Disease (QUIP). Clinical data included demographics, disease severity, motor and non-motor symptoms, and dopaminergic treatment. Fasting serum UA and UA/Cr were determined. Results: ICDs were present in 24.42% of patients, most commonly binge eating and compulsive buying. PwPs with ICDs had longer disease duration, more motor complications, higher dopaminergic doses, and more frequent dopamine agonist use. No relationship was found between absolute UA and overall ICD occurrence. However, lower UA/Cr was observed in patients with hypersexuality and pathological gambling, as well as in those with multiple ICD subtypes. Logistic regression confirmed that higher UA/Cr reduced the odds of hypersexuality (OR = 0.55; 95% CI 0.31–0.98) and multiple ICDs (OR = 0.33; 95% CI 0.13–0.84). As a secondary finding, lower absolute UA was observed in PwPs with more advanced motor symptoms, motor complications, depressive symptoms, and cognitive impairment. Conclusions: Lower UA/Cr was selectively associated with specific ICD subtypes and with the coexistence of multiple ICDs in patients with PD. UA/Cr may serve as a marker of ICD heterogeneity. Confirmation in larger, prospective cohorts is needed to establish clinical relevance. Full article
Show Figures

Figure 1

10 pages, 566 KB  
Article
Association of SGLT2 Inhibitors with Mortality and Bioprosthesis Valve Failure After TAVR: A Propensity-Matched Cohort Study
by Olivier Morel, Amandine Granier, Lisa Lochon, Antonin Trimaille, Arnaud Bisson, Benjamin Marchandot, Anne Bernard and Laurent Fauchier
J. Clin. Med. 2025, 14(19), 7001; https://doi.org/10.3390/jcm14197001 - 3 Oct 2025
Abstract
Background: Sodium–glucose cotransporter 2 inhibitors (SGLT2i) have shown cardioprotective effects beyond glucose control. In aortic stenosis, SGLT2 expression is upregulated in myocardium and valve tissue, contributing to inflammation, oxidative stress, thrombogenicity, and calcification. SGLT2 inhibition may counteract these mechanisms, potentially reducing bioprosthetic valve [...] Read more.
Background: Sodium–glucose cotransporter 2 inhibitors (SGLT2i) have shown cardioprotective effects beyond glucose control. In aortic stenosis, SGLT2 expression is upregulated in myocardium and valve tissue, contributing to inflammation, oxidative stress, thrombogenicity, and calcification. SGLT2 inhibition may counteract these mechanisms, potentially reducing bioprosthetic valve failure after transcatheter aortic valve replacement (TAVR), where the diseased native valve remains in place. Objectives: This study aimed to evaluate whether SGLT2i use is associated with improved clinical outcomes, including all-cause mortality and bioprosthetic valve failure, following TAVR. Methods: We conducted a retrospective cohort study using the TriNetX global health research network. Adults with non-rheumatic aortic stenosis who underwent TAVR were stratified by SGLT2i use. Propensity score matching (1:1) was applied to balance baseline characteristics (n = 2297 per group). Primary outcomes were all-cause mortality and bioprosthetic valve failure during follow-up. Results: Before matching, SGLT2i users had more cardiovascular comorbidities. After matching, SGLT2i use was associated with a significantly lower risk of all-cause mortality (HR: 0.83; 95% CI: 0.71–0.97; p = 0.02) and bioprosthetic valve failure (HR: 0.62; 95% CI: 0.39–0.99; p = 0.04). Conclusions: In a large real-world cohort of TAVR recipients, SGLT2i use was independently associated with reduced mortality and lower risk of bioprosthetic valve failure. These findings support a potential disease-modifying role for SGLT2 inhibitors in this high-risk population and warrant further prospective investigation. Full article
(This article belongs to the Special Issue Clinical Advances in Cardiovascular Interventions)
Show Figures

Figure 1

Back to TopTop