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16 pages, 1466 KiB  
Article
A Discrete Element Model for Characterizing Soil-Cotton Seeding Equipment Interactions Using the JKR and Bonding Contact Models
by Xuyang Ran, Long Wang, Jianfei Xing, Lu Shi, Dewei Wang, Wensong Guo and Xufeng Wang
Agriculture 2025, 15(15), 1693; https://doi.org/10.3390/agriculture15151693 - 5 Aug 2025
Abstract
Due to the increasing demand for agricultural water, the water availability for winter and spring irrigation of cotton fields has decreased. Consequently, dry seeding followed by irrigation (DSSI) has become a widespread cotton cultivation technique in Xinjiang. This study focused on the interaction [...] Read more.
Due to the increasing demand for agricultural water, the water availability for winter and spring irrigation of cotton fields has decreased. Consequently, dry seeding followed by irrigation (DSSI) has become a widespread cotton cultivation technique in Xinjiang. This study focused on the interaction between soil particles and cotton seeding equipment under DSSI in Xinjiang. The discrete element method (DEM) simulation framework was employed to compare the performance of the Johnson-Kendall-Roberts (JKR) model and Bonding model in simulating contact between soil particles. The models’ ability to simulate the angle of repose was investigated, and shear tests were conducted. The simulation results showed that both models had comparable repose angles, with relative errors of 0.59% for the JKR model and 0.36% for the contact model. However, the contact model demonstrated superior predictive accuracy in simulating direct shear test results, predicting an internal friction angle of 35.8°, with a relative error of 5.8% compared to experimental measurements. In contrast, the JKR model exhibited a larger error. The Bonding model provides a more accurate description of soil particle contact. Subsoiler penetration tests showed that the maximum penetration force was 467.2 N, closely matching the simulation result of 485.3 N, which validates the reliability of the model parameters. The proposed soil simulation framework and calibrated parameters accurately represented soil mechanical properties, providing a robust basis for discrete element modeling and structural optimization of soil-tool interactions in cotton field tillage machinery. Full article
(This article belongs to the Section Agricultural Technology)
22 pages, 2630 KiB  
Review
Transfection Technologies for Next-Generation Therapies
by Dinesh Simkhada, Su Hui Catherine Teo, Nandu Deorkar and Mohan C. Vemuri
J. Clin. Med. 2025, 14(15), 5515; https://doi.org/10.3390/jcm14155515 - 5 Aug 2025
Abstract
Background: Transfection is vital for gene therapy, mRNA treatments, CAR-T cell therapy, and regenerative medicine. While viral vectors are effective, non-viral systems like lipid nanoparticles (LNPs) offer safer, more flexible alternatives. This work explores emerging non-viral transfection technologies to improve delivery efficiency [...] Read more.
Background: Transfection is vital for gene therapy, mRNA treatments, CAR-T cell therapy, and regenerative medicine. While viral vectors are effective, non-viral systems like lipid nanoparticles (LNPs) offer safer, more flexible alternatives. This work explores emerging non-viral transfection technologies to improve delivery efficiency and therapeutic outcomes. Methods: This review synthesizes the current literature and recent advancements in non-viral transfection technologies. It focuses on the mechanisms, advantages, and limitations of various delivery systems, including lipid nanoparticles, biodegradable polymers, electroporation, peptide-based carriers, and microfluidic platforms. Comparative analysis was conducted to evaluate their performance in terms of transfection efficiency, cellular uptake, biocompatibility, and potential for clinical translation. Several academic search engines and online resources were utilized for data collection, including Science Direct, PubMed, Google Scholar Scopus, the National Cancer Institute’s online portal, and other reputable online databases. Results: Non-viral systems demonstrated superior performance in delivering mRNA, siRNA, and antisense oligonucleotides, particularly in clinical applications. Biodegradable polymers and peptide-based systems showed promise in enhancing biocompatibility and targeted delivery. Electroporation and microfluidic systems offered precise control over transfection parameters, improving reproducibility and scalability. Collectively, these innovations address key challenges in gene delivery, such as stability, immune response, and cell-type specificity. Conclusions: The continuous evolution of transfection technologies is pivotal for advancing gene and cell-based therapies. Non-viral delivery systems, particularly LNPs and emerging platforms like microfluidics and biodegradable polymers, offer safer and more adaptable alternatives to viral vectors. These innovations are critical for optimizing therapeutic efficacy and enabling personalized medicine, immunotherapy, and regenerative treatments. Future research should focus on integrating these technologies to develop next-generation transfection platforms with enhanced precision and clinical applicability. Full article
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18 pages, 1305 KiB  
Article
Curriculum–Vacancy–Course Recommendation Model Based on Knowledge Graphs, Sentence Transformers, and Graph Neural Networks
by Valiya Ramazanova, Madina Sambetbayeva, Sandugash Serikbayeva, Aigerim Yerimbetova, Zhanar Lamasheva, Zhanna Sadirmekova and Gulzhamal Kalman
Technologies 2025, 13(8), 340; https://doi.org/10.3390/technologies13080340 - 5 Aug 2025
Abstract
This article addresses the task of building personalized educational recommendations based on a heterogeneous knowledge graph that integrates data from university curricula, job vacancies, and online courses. To solve the problem of course recommendations by their relevance to a user’s competencies, a graph [...] Read more.
This article addresses the task of building personalized educational recommendations based on a heterogeneous knowledge graph that integrates data from university curricula, job vacancies, and online courses. To solve the problem of course recommendations by their relevance to a user’s competencies, a graph neural network (GNN)-based approach is proposed, specifically utilizing and comparing the Heterogeneous Graph Transformer (HGT) architecture, Graph Sample and Aggregate network (GraphSAGE), and Heterogeneous Graph Attention Network (HAN). Experiments were conducted on a heterogeneous graph comprising various node and relation types. The models were evaluated using regression and ranking metrics. The results demonstrated the superiority of the HGT-based recommendation model as a link regression task, especially in terms of ranking metrics, confirming its suitability for generating accurate and interpretable recommendations in educational systems. The proposed approach can be useful for developing adaptive learning recommendations aligned with users’ career goals. Full article
(This article belongs to the Section Information and Communication Technologies)
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29 pages, 1407 KiB  
Article
Symmetry-Driven Two-Population Collaborative Differential Evolution for Parallel Machine Scheduling in Lace Dyeing with Probabilistic Re-Dyeing Operations
by Jing Wang, Jingsheng Lian, Youpeng Deng, Lang Pan, Huan Xue, Yanming Chen, Debiao Li, Xixing Li and Deming Lei
Symmetry 2025, 17(8), 1243; https://doi.org/10.3390/sym17081243 - 5 Aug 2025
Abstract
In lace textile manufacturing, the dyeing process in parallel machine environments faces challenges from sequence-dependent setup times due to color family transitions, machine eligibility constraints based on weight capacities, and probabilistic re-dyeing operations arising from quality inspection failures, which often lead to increased [...] Read more.
In lace textile manufacturing, the dyeing process in parallel machine environments faces challenges from sequence-dependent setup times due to color family transitions, machine eligibility constraints based on weight capacities, and probabilistic re-dyeing operations arising from quality inspection failures, which often lead to increased tardiness. To tackle this multi-constrained problem, a stochastic integer programming model is formulated to minimize total estimated tardiness. A novel symmetry-driven two-population collaborative differential evolution (TCDE) algorithm is then proposed. It features two symmetrically complementary subpopulations that achieve a balance between global exploration and local exploitation. One subpopulation employs chaotic parameter adaptation through a logistic map for symmetrically enhanced exploration, while the other adjusts parameters based on population diversity and convergence speed to facilitate symmetry-aware exploitation. Moreover, it also incorporates a symmetrical collaborative mechanism that includes the periodic migration of top individuals between subpopulations, along with elite-set guidance, to enhance both population diversity and convergence efficiency. Extensive computational experiments were conducted on 21 small-scale (optimally validated via CVX) and 15 large-scale synthetic datasets, as well as 21 small-scale (similarly validated) and 20 large-scale industrial datasets. These experiments demonstrate that TCDE significantly outperforms state-of-the-art comparative methods. Ablation studies also further verify the critical role of its symmetry-based components, with computational results confirming its superiority in solving the considered problem. Full article
(This article belongs to the Special Issue Meta-Heuristics for Manufacturing Systems Optimization, 3rd Edition)
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14 pages, 9504 KiB  
Article
Evaluating Habitat Conditions for the Ringlet Butterfly (Erebia pronoe glottis) in a Multi-Use Mountain Landscape in the French Pyrenees
by Martin Wendt and Thomas Schmitt
Diversity 2025, 17(8), 554; https://doi.org/10.3390/d17080554 - 5 Aug 2025
Abstract
We conducted a mark–release–recapture study of the ringlet butterfly, Erebia pronoe glottis, in the Pyrenees to study population density, flight activity, dispersal, and nectar plant preferences. We found differences between both sexes in population density (males: 48/ha; females: 23/ha), sex ratio (2.1), [...] Read more.
We conducted a mark–release–recapture study of the ringlet butterfly, Erebia pronoe glottis, in the Pyrenees to study population density, flight activity, dispersal, and nectar plant preferences. We found differences between both sexes in population density (males: 48/ha; females: 23/ha), sex ratio (2.1), and behaviour (75.4 vs. 20.5% flying). Both sexes used a wide range of nectar plants (Asteraceae, 40.6%; Apiaceae, 34.4%; Caprifoliaceae, 18.8%). However, local abundance appeared to be limited by the availability of nectar plants. Compared to a population of an extensively used pasture in the Alps, a significant increase in flight activity, but not in range, was observed. Movement patterns showed the establishment of home ranges, which significantly limited the dispersal potential, being low for both sexes (mean fight distances-males: 101 m ± 73 SD; females: 68 m ± 80 SD). A sedentary taxon such as E. pronoe glottis does not seem to be able to avoid the pressure of resource shortage by dispersal. As a late-flying pollinator, Erebia pronoe competes seasonally for scarce resources. These are further reduced by grazing pressure and are exploited by honey bees as a superior competitor, resulting in low habitat quality and, consequently, in comparatively low abundance of E. pronoe glottis. Full article
(This article belongs to the Special Issue Biodiversity, Ecology and Conservation of Lepidoptera)
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15 pages, 1582 KiB  
Article
Evaluation of the Effect of Optic Nerve Compression by Craniopharyngioma on Retinal Nerve Fiber Layer Thickness in Pediatric Patients
by Klaudia Rakusiewicz-Krasnodębska, Agnieszka Bogusz-Wójcik, Elżbieta Moszczyńska, Maciej Jaworski, Paweł Kowalczyk and Wojciech Hautz
Cancers 2025, 17(15), 2574; https://doi.org/10.3390/cancers17152574 - 5 Aug 2025
Abstract
Purpose: The present study aims to evaluate alterations in the peripapillary retinal nerve fiber layer (RNFL) thickness in pediatric patients following surgical resection of childhood-onset craniopharyngioma (CP) and to identify tumor characteristics and other factors influencing these alterations, including changes in the lesion’s [...] Read more.
Purpose: The present study aims to evaluate alterations in the peripapillary retinal nerve fiber layer (RNFL) thickness in pediatric patients following surgical resection of childhood-onset craniopharyngioma (CP) and to identify tumor characteristics and other factors influencing these alterations, including changes in the lesion’s location. Design: retrospective clinical cohort study. Methods: A retrospective analysis was conducted on 73 eyes from 38 patients with CP and 64 eyes from 32 age- and sex-matched healthy controls. The mean age of the CP patients was 10.3 ± 4.2 years (range 4–17), while the control group had a mean age of 10.5 ± 3.1 years (range 4–17). Optical coherence tomography (OCT) was used to assess the peripapillary RNFL thickness in the study and control groups. RNFL thickness was analyzed in the superior, inferior, and average sectors, as well as across eight optic nerve sectors. Tumor characteristics were evaluated to determine their correlation with changes in RNFL thickness in individual sectors. Results: Postoperative thickness of peripapillary RNFL in all individual sectors was significantly reduced in the CP group compared to healthy controls. Location, tumor volume, maximum tumor diameter, calcification, ventriculoperitoneal shunt, surgery technique, total resection, presence of Rosenthal fibers, and reoperation due to progression or recurrence correlated with damage to RNFL. Conclusions: CP is associated with significant reductions in RNFL thickness, indicating the tumor’s impact on optic nerve fibers. OCT is a valuable tool for monitoring visual pathway impairment and postoperative outcomes. Correlations between RNFL thickness in individual sectors and clinical parameters may offer valuable insights for diagnosis and monitoring, underlining their potential role in predicting visual outcomes. Regular RNFL evaluation should be integrated into the long-term care of CP patients to optimize visual prognosis and detect progressive or residual damage. Full article
(This article belongs to the Section Pediatric Oncology)
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18 pages, 1289 KiB  
Article
Novel Film-Forming Spray: Advancing Shelf Life Extension and Post-Harvest Loss Reduction in Eggs
by Nagesh Sonale, Rokade J. Jaydip, Akhilesh Kumar, Monika Madheswaran, Rohit Kumar, Prasad Wadajkar and Ashok Kumar Tiwari
Polymers 2025, 17(15), 2142; https://doi.org/10.3390/polym17152142 - 5 Aug 2025
Abstract
This study explores the development of a topical film-forming spray infused with phytobiotic herbs to extend egg shelf life and maintain its quality. Unlike traditional surface treatments, film-forming sprays provide uniform drug distribution, better bioavailability, effective CO2 retention by sealing pores, and [...] Read more.
This study explores the development of a topical film-forming spray infused with phytobiotic herbs to extend egg shelf life and maintain its quality. Unlike traditional surface treatments, film-forming sprays provide uniform drug distribution, better bioavailability, effective CO2 retention by sealing pores, and antibacterial effects. The spray includes a polymer to encapsulate phytoconstituents and form the film. The resulting film is highly water-resistant, glossy, transparent, and dries within two minutes. SEM analysis showed a fine, uniform morphology, while zeta analysis revealed a negative potential of −0.342 mV and conductivity of 0.390 mS/cm, indicating stable dispersion. The spray’s effectiveness was tested on 640 chicken eggs stored at varying temperatures. Eggs treated and kept at 2–8 °C showed the best results, with smaller air cells, higher specific gravity, and superior quality indicators such as pH, albumen weight, albumen height and index, Haugh unit, yolk weight, and yolk index. Additionally, the spray significantly reduced microbial load, including total plate count and E. coli. Eggs stored at 28 °C remained safe for 24–30 days, while those at 2–8 °C lasted over 42 days. This innovative film-forming spray offers a promising approach for preserving internal and external egg quality during storage. Full article
(This article belongs to the Section Polymer Applications)
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31 pages, 8580 KiB  
Article
TSA-GRU: A Novel Hybrid Deep Learning Module for Learner Behavior Analytics in MOOCs
by Soundes Oumaima Boufaida, Abdelmadjid Benmachiche, Makhlouf Derdour, Majda Maatallah, Moustafa Sadek Kahil and Mohamed Chahine Ghanem
Future Internet 2025, 17(8), 355; https://doi.org/10.3390/fi17080355 - 5 Aug 2025
Abstract
E-Learning is an emerging dominant phenomenon in education, making the development of robust models that can accurately represent the dynamic behavior of learners in MOOCs even more critical. In this article, we propose the Temporal Sparse Attention-Gated Recurrent Unit (TSA-GRU), a novel deep [...] Read more.
E-Learning is an emerging dominant phenomenon in education, making the development of robust models that can accurately represent the dynamic behavior of learners in MOOCs even more critical. In this article, we propose the Temporal Sparse Attention-Gated Recurrent Unit (TSA-GRU), a novel deep learning framework that combines TSA with a sequential encoder based on the GRU. This hybrid model effectively reconstructs student response times and learning trajectories with high fidelity by leveraging tthe emporal embeddings of instructional and feedback activities. By dynamically filtering noise from student interactions, TSA-GRU generates context-aware representations that seamlessly integrate both short-term fluctuations and long-term learning patterns. Empirical evaluation on the 2009–2010 ASSISTments dataset demonstrates that TSA-GRU achieved a test accuracy of 95.60% and a test loss of 0.0209, outperforming Modular Sparse Attention-Gated Recurrent Unit (MSA-GRU), Bayesian Knowledge Tracing (BKT), Performance Factors Analysis (PFA), and TSA in the same experimental design. TSA-GRU converged in five training epochs; thus, while TSA-GRU is demonstrated to have strong predictive performance for knowledge tracing tasks, these findings are specific to the conducted dataset and should not be implicitly regarded as conclusive for all data. More statistical validation through five-fold cross-validation, confidence intervals, and paired t-tests have confirmed the robustness, consistency, and statistically significant superiority of TSA-GRU over the baseline model MSA-GRU. TSA-GRU’s scalability and capacity to incorporate a temporal dimension of knowledge can make it acceptably well-positioned to analyze complex learner behaviors and plan interventions for adaptive learning in computerized learning systems. Full article
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13 pages, 660 KiB  
Systematic Review
Survival Evaluation of Restorations in Pulpotomized Primary Teeth with MTA or Biodentine®: A Systematic Review
by María Biedma-Perea, María Moscoso-Sánchez, María José Barra-Soto, Marcela Arenas-González, David Ribas-Pérez and Carolina Caleza-Jiménez
J. Clin. Med. 2025, 14(15), 5501; https://doi.org/10.3390/jcm14155501 - 5 Aug 2025
Abstract
Objective: Due to the increasing esthetic demand among pediatric patients and different restorative materials, we focused on analyzing which of the options of restorations may provide superior clinical outcomes. Methods: A systematic review was conducted according to the Preferred Reporting Items [...] Read more.
Objective: Due to the increasing esthetic demand among pediatric patients and different restorative materials, we focused on analyzing which of the options of restorations may provide superior clinical outcomes. Methods: A systematic review was conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) using PubMed and Cochrane databases. Results: Five articles met all inclusion criteria from an initial pool of 359 articles identified in the initial search. Greater bond strength was observed when pulpotomized teeth were restored with Biodentine® and resin composites compared to resin-modified glass ionomer cements (RMGICs). When comparing pulpotomies in primary teeth with MTA and Biodentine®, the fracture resistance values were higher in the pulpotomized teeth with Biodentine® than with MTA. Additionally, following a narrative synthesis in MTA-treated teeth, a higher risk of failure was observed using RMGICs or composite instead of stainless-steel crowns (SCCs) as the final restorative material. Conclusions: Variables such as the type of final restoration can affect the survival of primary teeth after pulpotomy reconstruction. Regardless of the pulp material, survival with SSCs is higher, but resin composites appear to be a viable restorative material after Biodentine® application. Full article
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17 pages, 1152 KiB  
Article
PortRSMs: Learning Regime Shifts for Portfolio Policy
by Bingde Liu and Ryutaro Ichise
J. Risk Financial Manag. 2025, 18(8), 434; https://doi.org/10.3390/jrfm18080434 - 5 Aug 2025
Abstract
This study proposes a novel Deep Reinforcement Learning (DRL) policy network structure for portfolio management called PortRSMs. PortRSMs employs stacked State-Space Models (SSMs) for the modeling of multi-scale continuous regime shifts in financial time series, striking a balance between exploring consistent distribution properties [...] Read more.
This study proposes a novel Deep Reinforcement Learning (DRL) policy network structure for portfolio management called PortRSMs. PortRSMs employs stacked State-Space Models (SSMs) for the modeling of multi-scale continuous regime shifts in financial time series, striking a balance between exploring consistent distribution properties over short periods and maintaining sensitivity to sudden shocks in price sequences. PortRSMs also performs cross-asset regime fusion through hypergraph attention mechanisms, providing a more comprehensive state space for describing changes in asset correlations and co-integration. Experiments conducted on two different trading frequencies in the stock markets of the United States and Hong Kong show the superiority of PortRSMs compared to other approaches in terms of profitability, risk–return balancing, robustness, and the ability to handle sudden market shocks. Specifically, PortRSMs achieves up to a 0.03 improvement in the annual Sharpe ratio in the U.S. market, and up to a 0.12 improvement for the Hong Kong market compared to baseline methods. Full article
(This article belongs to the Special Issue Machine Learning Applications in Finance, 2nd Edition)
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22 pages, 3217 KiB  
Article
A Deep Reinforcement Learning Approach for Energy Management in Low Earth Orbit Satellite Electrical Power Systems
by Silvio Baccari, Elisa Mostacciuolo, Massimo Tipaldi and Valerio Mariani
Electronics 2025, 14(15), 3110; https://doi.org/10.3390/electronics14153110 - 5 Aug 2025
Abstract
Effective energy management in Low Earth Orbit satellites is critical, as inefficient energy management can significantly affect mission objectives. The dynamic and harsh space environment further complicates the development of effective energy management strategies. To address these challenges, we propose a Deep Reinforcement [...] Read more.
Effective energy management in Low Earth Orbit satellites is critical, as inefficient energy management can significantly affect mission objectives. The dynamic and harsh space environment further complicates the development of effective energy management strategies. To address these challenges, we propose a Deep Reinforcement Learning approach using Deep-Q Network to develop an adaptive energy management framework for Low Earth Orbit satellites. Compared to traditional techniques, the proposed solution autonomously learns from environmental interaction, offering robustness to uncertainty and online adaptability. It adjusts to changing conditions without manual retraining, making it well-suited for handling modeling uncertainties and non-stationary dynamics typical of space operations. Training is conducted using a realistic satellite electric power system model with accurate component parameters and single-orbit power profiles derived from real space missions. Numerical simulations validate the controller performance across diverse scenarios, including multi-orbit settings, demonstrating superior adaptability and efficiency compared to conventional Maximum Power Point Tracking methods. Full article
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21 pages, 1359 KiB  
Article
Diagnostic Accuracy of Radiological Bone Age Methods for Assessing Skeletal Maturity in Central Precocious Puberty Girls from the Canary Islands
by Sebastián Eustaquio Martín Pérez, Isidro Miguel Martín Pérez, Ruth Molina Suárez, Jesús María Vega González and Alfonso Miguel García Hernández
Endocrines 2025, 6(3), 39; https://doi.org/10.3390/endocrines6030039 (registering DOI) - 5 Aug 2025
Abstract
Background: Central precocious puberty (CPP), defined as the onset of secondary sexual characteristics before age 8 in girls, is increasingly prevalent worldwide. CPP is often caused by early activation of the HPG axis, leading to accelerated growth and bone maturation. However, the diagnostic [...] Read more.
Background: Central precocious puberty (CPP), defined as the onset of secondary sexual characteristics before age 8 in girls, is increasingly prevalent worldwide. CPP is often caused by early activation of the HPG axis, leading to accelerated growth and bone maturation. However, the diagnostic accuracy of standard bone age (BA) methods remains uncertain in this context. Objective: To compare the diagnostic accuracy of the Greulich–Pyle atlas (GPA) and Tanner–Whitehouse 3 (TW3) methods in estimating skeletal age in girls with CPP and to assess the predictive value of serum hormone levels for estimating chronological age (CA). Methods: An observational, cross-sectional diagnostic study was conducted, involving n = 109 girls aged 6–12 years with confirmed CPP (Ethics Committee approval: CHUC_2023_86; 13 July 2023). Left posteroanterior hand–wrist (PA–HW) radiographs were assessed using the GPA and TW3 methods. Anthropometric measurements were recorded, and serum concentrations of estradiol, LH, FSH, DHEA-S, cortisol, TSH, and free T4 were obtained. Comparisons between CA and BA estimates were conducted using repeated-measures ANOVA, and ANCOVA was applied to examine the hormonal predictors of CA. Results: Both GPA and TW3 overestimated CA between 7 and 12 years, with the GPA showing larger deviations (up to 4.8 months). The TW3 method provided more accurate estimations, particularly at advanced pubertal stages. Estradiol (η2p = 0.188–0.197), LH (η2p = 0.061–0.068), and FSH (η2p = 0.008–0.023) emerged as the strongest endocrine predictors of CA, significantly enhancing the explanatory power of both radiological methods. Conclusions: The TW3 method demonstrated superior diagnostic accuracy over GPA in girls with CPP, especially between 7 and 12 years. Integrating estradiol, LH, and FSH into BA assessment significantly improved the accuracy, supporting a more individualized and physiologically grounded diagnostic approach. Full article
(This article belongs to the Section Pediatric Endocrinology and Growth Disorders)
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20 pages, 4719 KiB  
Systematic Review
Levosimendan vs. Dobutamine in Patients with Septic Shock: A Systematic Review and Meta-Analysis with Trial Sequential Analysis
by Edith Elianna Rodríguez, German Alberto Devia Jaramillo, Lissa María Rivera Cuellar, Santiago Eduardo Pérez Herran, David René Rodríguez Lima and Antoine Herpain
J. Clin. Med. 2025, 14(15), 5496; https://doi.org/10.3390/jcm14155496 - 5 Aug 2025
Abstract
Introduction: Septic-induced cardiomyopathy (SICM) is a life-threatening condition in patients with septic shock. Persistent hypoperfusion despite adequate volume status and vasopressor use is associated with poor outcomes and is currently managed with inotropes. However, the superiority of available inotropic agents remains unclear. This [...] Read more.
Introduction: Septic-induced cardiomyopathy (SICM) is a life-threatening condition in patients with septic shock. Persistent hypoperfusion despite adequate volume status and vasopressor use is associated with poor outcomes and is currently managed with inotropes. However, the superiority of available inotropic agents remains unclear. This meta-analysis aims to determine which inotropic agent may be more effective in this clinical scenario. Methods: A systematic review and meta-analysis were conducted, including data from randomized clinical trials (RCTs) comparing levosimendan and dobutamine in patients with septic shock and persistent hypoperfusion. Summary effect estimates, including odds ratios (ORs), standardized mean differences (SMDs), and 95% confidence intervals (CIs), were calculated using a random-effects model. Trial sequential analysis (TSA) was also performed. Results: Of 244 studies screened, 11 RCTs were included. Levosimendan was associated with a reduction in in-hospital mortality (OR 0.64; 95% CI: 0.47; 0.88) and ICU length of stay (SMD 5.87; 95% CI: –8.37; 20.11) compared with dobutamine. Treatment with levosimendan also resulted in significant reductions in BNP (SMD –1.87; 95% CI: –2.45; −1.2) and serum lactate levels (SMD –1.63; 95% CI: –3.13; −0.12). However, TSA indicated that the current evidence is insufficient to definitively confirm or exclude effects on in-hospital and 28-day mortality. Conclusions: Levosimendan may improve hemodynamics, tissue perfusion, and biomarkers, and may reduce in-hospital mortality and ICU length of stay in patients with SICM compared with dobutamine. However, TSA highlights the need for further studies to inform clinical practice and optimize inotrope selection. Full article
(This article belongs to the Special Issue Sepsis: Current Updates and Perspectives)
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23 pages, 2733 KiB  
Article
Estimating Genetic Variability and Heritability of Morpho-Agronomic Traits of M5 Cowpea (Vigna unguiculata (L.) Walp) Mutant Lines
by Kelebonye Ramolekwa, Motlalepula Pholo-Tait, Travis Parker, Goitseone Malambane, Samodimo Ngwako and Lekgari Lekgari
Int. J. Mol. Sci. 2025, 26(15), 7543; https://doi.org/10.3390/ijms26157543 (registering DOI) - 5 Aug 2025
Abstract
Induced mutation plays an integral part in plant breeding as it introduces new variability among the population. A study was conducted in cowpeas [Vigna unguiculata (L.) Walp] to assess the yield divergence, heritability, genetic advance, and correlation among the M5 Tswana cowpea [...] Read more.
Induced mutation plays an integral part in plant breeding as it introduces new variability among the population. A study was conducted in cowpeas [Vigna unguiculata (L.) Walp] to assess the yield divergence, heritability, genetic advance, and correlation among the M5 Tswana cowpea mutants. The experiment utilized seven genotypes under rainfed and supplementary irrigation during the 2022/23 and 2023/24 cropping seasons. The mutant lines demonstrated significant variations in days to 50% emergence (DE) and days to 50% flowering (DF). Tswana emerged earlier (5–7 days) and flowered in 21–54 days across the two seasons, compared to some of the mutant lines. The yield and yield components varied among some mutant lines and the control. Most importantly, mutants outperformed the Tswana control for some of these traits, indicating potential for genetic improvement. An analysis of genetic parameters revealed minimal environmental influences on some of the observed traits (GH, PN, GY), while others showed little environmental impact. Variation in heritability (H2) and genetic advance (GA%) between the two seasons limited the contribution of genotypic effects in the expression of the studied traits. Correlation analysis revealed strong and significant positive associations between DE and GH, as well as between DF and PW. Most traits, except DF and PW, were positively correlated with grain yield (GY), although the correlations were not significantly different. Cluster analysis grouped the genotypes into four distinct clusters. Principal component analysis (PCA) revealed the superiority of mutant lines (Tswana-300Gy-214, Tswana-400Gy mutant lines, and Tswana-500Gy-31) in their association with improved GY, pod weight (PW), 100-seed weight (100-SW), and seed number per pod (SN/P). Interestingly, the Tswana control formed a separate cluster and diverged from the mutants in PCA, suggesting that induced mutagenesis effectively targeted genes controlling the traits considered in this study. Full article
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22 pages, 338 KiB  
Article
Configuration of Subjectivities and the Application of Neoliberal Economic Policies in Medellin, Colombia
by Juan David Villa-Gómez, Juan F. Mejia-Giraldo, Mariana Gutiérrez-Peña and Alexandra Novozhenina
Soc. Sci. 2025, 14(8), 482; https://doi.org/10.3390/socsci14080482 - 5 Aug 2025
Abstract
(1) Background: This article aims to understand the forms and elements through which the inhabitants of the city of Medellin have configured their subjectivity in the context of the application of neoliberal policies in the last two decades. In this way, we can [...] Read more.
(1) Background: This article aims to understand the forms and elements through which the inhabitants of the city of Medellin have configured their subjectivity in the context of the application of neoliberal policies in the last two decades. In this way, we can approach the frameworks of understanding that constitute a fundamental part of the individuation processes in which the incorporation of their subjectivities is evidenced in neoliberal contexts that, in the historical process, have been converging with authoritarian, antidemocratic and neoconservative elements. (2) Method: A qualitative approach with a hermeneutic-interpretative paradigm was used. In-depth semi-structured interviews were conducted with 41 inhabitants of Medellín who were politically identified with right-wing or center-right positions. Data analysis included thematic coding to identify patterns of thought and points of view. (3) Results: Participants associate success with individual effort and see state intervention as an obstacle to development. They reject redistributive policies, arguing that they generate dependency. In addition, they justify authoritarian models of government in the name of security and progress, from a moral superiority, which is related to a negative and stigmatizing perception of progressive sectors and a negative view of the social rule of law and public policies with social sense. (4) Conclusions: The naturalization of merit as a guiding principle, the perception of themselves as morally superior based on religious values that grant a subjective place of certainty and goodness; the criminalization of expressions of political leftism, mobilizations and redistributive reforms and support for policies that establish authoritarianism and perpetuate exclusion and structural inequalities, closes roads to a participatory democracy that enables social and economic transformations. Full article
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