MDPI - Publisher of Open Access Journals

18 pages, 2511 KiB

Open AccessArticle

Depression, Anxiety, and MSQOL-54 Outcomes in RRMS Patients Receiving Fingolimod or Cladribine: A Cross-Sectional Comparative Study

by Müttalip Özbek, Adalet Arıkanoğlu and Mehmet Ufuk Aluçlu

Medicina 2025, 61(8), 1409; https://doi.org/10.3390/medicina61081409 (registering DOI) - 3 Aug 2025

Abstract

Background and Objectives: Multiple sclerosis (MS) is a chronic immune-mediated neurological disorder that primarily affects young adults and is frequently accompanied by psychiatric comorbidities such as depression and anxiety, both of which significantly diminish patients’ quality of life (QoL). This study investigated [...] Read more.

Background and Objectives: Multiple sclerosis (MS) is a chronic immune-mediated neurological disorder that primarily affects young adults and is frequently accompanied by psychiatric comorbidities such as depression and anxiety, both of which significantly diminish patients’ quality of life (QoL). This study investigated the effect of two oral disease-modifying therapies (DMTs), fingolimod and cladribine, on mental health and QoL in patients with relapsing-remitting MS (RRMS). The aim of the study was to compare levels of depression, anxiety, and health-related quality of life (HRQoL) in RRMS patients treated with fingolimod or cladribine, and to evaluate their associations with clinical and radiological parameters. Materials and Methods: Eighty RRMS patients aged 18 to 50 years with Expanded Disability Status Scale (EDSS) scores of 3.0 or less, no recent disease relapse, and no history of antidepressant use were enrolled. Forty patients were treated with fingolimod and forty with cladribine. Depression and anxiety were assessed using the Hamilton Depression Rating Scale (HDRS) and the Hamilton Anxiety Rating Scale (HARS). QoL was evaluated using the Multiple Sclerosis QoL-54 (MSQOL-54) instrument. Additional clinical data, including MRI-based lesion burden, EDSS scores, age, disease duration, and occupational status, were collected. Results: No statistically significant differences were observed between the two groups regarding HDRS and HARS scores (p > 0.05). However, patients treated with fingolimod had significantly higher scores in the Energy/Fatigue subdomain (7.55 ± 2.02 vs. 6.56 ± 2.57, p = 0.046) and Composite Mental Health (CMH) score (64.73 ± 15.01 vs. 56.00 ± 18.93, p = 0.029) compared to those treated with cladribine. No significant differences were found in the independent items of the MSQOL-54. A negative correlation was identified between total lesion load and QoL scores. Conclusions: Although fingolimod and cladribine exert comparable effects on depression and anxiety levels, fingolimod may be associated with better mental health outcomes and reduced fatigue in RRMS patients. Furthermore, lesion burden and clinical parameters such as age and EDSS score may independently influence QoL, regardless of the DMT used. Full article

(This article belongs to the Special Issue Multiple Sclerosis and Related Disorders: Theory, Methods and Applications)

► Show Figures

Figure 1

26 pages, 3326 KiB

Open AccessArticle

Zeolite in Vineyard: Innovative Agriculture Management Against Drought Stress

by Eleonora Cataldo, Sergio Puccioni, Aleš Eichmeier and Giovan Battista Mattii

Horticulturae 2025, 11(8), 897; https://doi.org/10.3390/horticulturae11080897 (registering DOI) - 3 Aug 2025

Abstract

Discovering, analyzing, and finding a key to understanding the physiological and biochemical responses that Vitis vinifera L. undertakes against drought stress is of fundamental importance for this profitable crop. Today’s considerable climatic fluctuations force researchers and farmers to focus on this issue with [...] Read more.

Discovering, analyzing, and finding a key to understanding the physiological and biochemical responses that Vitis vinifera L. undertakes against drought stress is of fundamental importance for this profitable crop. Today’s considerable climatic fluctuations force researchers and farmers to focus on this issue with solutions inclined to respect the ecosystem. In this academic work, we focused on describing the drought stress consequences on several parameters of secondary metabolites on Vitis vinifera leaves (quercetins, kaempferol, resveratrol, proline, and xanthophylls) and on some ecophysiological characteristics (e.g., water potential, stomatal conductance, and leaf temperature) to compare the answers that diverse agronomic management techniques (i.e., irrigation with and without zeolite, pure zeolite and no application) could instaurate in the metabolic pathway of this important crop with the aim to find convincing and thought-provoking responses to use this captivating and versatile mineral, the zeolite known as the “magic rock”. Stressed grapevines reached 56.80 mmol/m²s gs at veraison and a more negative stem Ψ (+10.63%) compared to plants with zeolite. Resveratrol, in the hottest season, fluctuated from 0.18–0.19 mg/g in zeolite treatments to 0.37 mg/g in stressed vines. Quercetins were inclined to accumulate in response to drought stress too. In fact, we recorded a peak of quercetin (3-O-glucoside + 3-O-glucuronide) of 11.20 mg/g at veraison in stressed plants. It is interesting to note how the pool of metabolites was often unchanged for plants treated with zeolite and for plants treated with water only, thus elevating this mineral to a “stress reliever”. Full article

(This article belongs to the Special Issue Horticultural Crops against Abiotic Stresses: Adaptation Skills and Agronomic Strategies)

► Show Figures

Figure 1

54 pages, 506 KiB

Open AccessArticle

Enhancing Complex Decision-Making Under Uncertainty: Theory and Applications of q-Rung Neutrosophic Fuzzy Sets

by Omniyyah Saad Alqurashi and Kholood Mohammad Alsager

Symmetry 2025, 17(8), 1224; https://doi.org/10.3390/sym17081224 (registering DOI) - 3 Aug 2025

Abstract

This thesis pioneers the development of q-Rung Neutrosophic Fuzzy Rough Sets (q-RNFRSs), establishing the first theoretical framework that integrates q-Rung Neutrosophic Sets with rough approximations to break through the conventional

μ^{q} + η^{q} + ν^{q} \leq 1

constraint of existing [...] Read more.

This thesis pioneers the development of q-Rung Neutrosophic Fuzzy Rough Sets (q-RNFRSs), establishing the first theoretical framework that integrates q-Rung Neutrosophic Sets with rough approximations to break through the conventional

μ^{q} + η^{q} + ν^{q} \leq 1

constraint of existing fuzzy–rough hybrids, achieving unprecedented capability in extreme uncertainty representation through our generalized model (

T^{q} + I^{q} + F^{q} \leq 3

). The work makes three fundamental contributions: (1) theoretical innovation through complete algebraic characterization of q-RNFRSs, including two distinct union/intersection operations and four novel classes of complement operators (with Theorem 1 verifying their involution properties via De Morgan’s Laws); (2) clinical breakthrough via a domain-independent medical decision algorithm featuring dynamic q-adaptation (q = 2–4) for criterion-specific uncertainty handling, demonstrating 90% diagnostic accuracy in validation trials—a 22% improvement over static models (

p < 0.001

); and (3) practical impact through multi-dimensional uncertainty modeling (truth–indeterminacy–falsity), robust therapy prioritization under data incompleteness, and computationally efficient approximations for real-world clinical deployment. Full article

(This article belongs to the Special Issue The Fusion of Fuzzy Sets and Optimization Using Symmetry)

► Show Figures

Figure 1

12 pages, 3410 KiB

Open AccessArticle

Nasal and Ocular Immunization with Bacteriophage Virus-Like Particle Vaccines Elicits Distinct Systemic and Mucosal Antibody Profiles

by Andzoa N. Jamus, Zoe E. R. Wilton, Samantha D. Armijo, Julian Flanagan, Isabella G. Romano, Susan B. Core and Kathryn M. Frietze

Vaccines 2025, 13(8), 829; https://doi.org/10.3390/vaccines13080829 (registering DOI) - 3 Aug 2025

Abstract

Background/Objectives: Intramuscular immunization elicits systemic IgG and is the primary route of vaccine administration in humans. However, there is growing interest in utilizing other routes of administration to tailor antibody profiles, increase immunity at primary sites of infection, simplify administration, and eliminate [...] Read more.

Background/Objectives: Intramuscular immunization elicits systemic IgG and is the primary route of vaccine administration in humans. However, there is growing interest in utilizing other routes of administration to tailor antibody profiles, increase immunity at primary sites of infection, simplify administration, and eliminate needle waste. Here, we investigated the antibody profiles elicited by immunization with bacteriophage virus-like particle vaccine platforms at various routes of administration. Methods: We chose two model bacteriophage vaccines for investigation: bacteriophage MS2 virus-like particles (VLPs) recombinantly displaying a short, conserved peptide from Chlamydia trachomatis major outer membrane protein (MS2) and bacteriophage Qβ VLPs displaying oxycodone through chemical conjugation (Qβ). We comprehensively characterized the antibodies elicited systemically and at various mucosal sites when the vaccines were administered intramuscularly, intranasally or periocularly with or without an intramuscular prime using various prime/boost schemes. Results: Intranasal and periocular immunization elicited robust mucosal and systemic IgA responses for both MS2 and Qβ. The intramuscular prime followed by intranasal or periocular boosts elicited broad antibody responses, and increased antibodies titers at certain anatomical sites. Conclusions: These findings demonstrate the tractability of bacteriophage VLP-based vaccines in generating specific antibody profiles based on the prime–boost regimen and route of administration. Full article

► Show Figures

Figure 1

10 pages, 1055 KiB

Open AccessArticle

Artificial Intelligence and Hysteroscopy: A Multicentric Study on Automated Classification of Pleomorphic Lesions

by Miguel Mascarenhas, Carla Peixoto, Ricardo Freire, Joao Cavaco Gomes, Pedro Cardoso, Inês Castro, Miguel Martins, Francisco Mendes, Joana Mota, Maria João Almeida, Fabiana Silva, Luis Gutierres, Bruno Mendes, João Ferreira, Teresa Mascarenhas and Rosa Zulmira

Cancers 2025, 17(15), 2559; https://doi.org/10.3390/cancers17152559 (registering DOI) - 3 Aug 2025

Abstract

Background/Objectives: The integration of artificial intelligence (AI) in medical imaging is rapidly advancing, yet its application in gynecologic use remains limited. This proof-of-concept study presents the development and validation of a convolutional neural network (CNN) designed to automatically detect and classify endometrial [...] Read more.

Background/Objectives: The integration of artificial intelligence (AI) in medical imaging is rapidly advancing, yet its application in gynecologic use remains limited. This proof-of-concept study presents the development and validation of a convolutional neural network (CNN) designed to automatically detect and classify endometrial polyps. Methods: A multicenter dataset (n = 3) comprising 65 hysteroscopies was used, yielding 33,239 frames and 37,512 annotated objects. Still frames were extracted from full-length videos and annotated for the presence of histologically confirmed polyps. A YOLOv1-based object detection model was used with a 70–20–10 split for training, validation, and testing. Primary performance metrics included recall, precision, and mean average precision at an intersection over union (IoU) ≥ 0.50 (mAP50). Frame-level classification metrics were also computed to evaluate clinical applicability. Results: The model achieved a recall of 0.96 and precision of 0.95 for polyp detection, with a mAP50 of 0.98. At the frame level, mean recall was 0.75, precision 0.98, and F1 score 0.82, confirming high detection and classification performance. Conclusions: This study presents a CNN trained on multicenter, real-world data that detects and classifies polyps simultaneously with high diagnostic and localization performance, supported by explainable AI features that enhance its clinical integration and technological readiness. Although currently limited to binary classification, this study demonstrates the feasibility and potential of AI to reduce diagnostic subjectivity and inter-observer variability in hysteroscopy. Future work will focus on expanding the model’s capabilities to classify a broader range of endometrial pathologies, enhance generalizability, and validate performance in real-time clinical settings. Full article

(This article belongs to the Special Issue Advances in Artificial Intelligence Methodologies and Applications in Cancer)

► Show Figures

Figure 1

15 pages, 3854 KiB

Open AccessArticle

PVC Inhibits Radish (Raphanus sativus L.) Seedling Growth by Interfering with Plant Hormone Signal Transduction and Phenylpropanoid Biosynthesis

by Lisi Jiang, Zirui Liu, Wenyuan Li, Yangwendi Yang, Zirui Yu, Jiajun Fan, Lixin Guo, Chang Guo and Wei Fu

Horticulturae 2025, 11(8), 896; https://doi.org/10.3390/horticulturae11080896 (registering DOI) - 3 Aug 2025

Abstract

Polyvinyl chloride (PVC) is commonly employed as mulch in agriculture to boost crop yields. However, its toxicity is often overlooked. Due to its chemical stability, resistance to degradation, and the inadequacy of the recycling system, PVC tends to persist in farm environments, where [...] Read more.

Polyvinyl chloride (PVC) is commonly employed as mulch in agriculture to boost crop yields. However, its toxicity is often overlooked. Due to its chemical stability, resistance to degradation, and the inadequacy of the recycling system, PVC tends to persist in farm environments, where it can decompose into microplastics (MPs) or nanoplastics (NPs). The radish (Raphanus sativus L.) was chosen as the model plant for this study to evaluate the underlying toxic mechanisms of PVC NPs on seedling growth through the integration of multi-omics approaches with oxidative stress evaluations. The results indicated that, compared with the control group, the shoot lengths in the 5 mg/L and 150 mg/L treatment groups decreased by 33.7% and 18.0%, respectively, and the root lengths decreased by 28.3% and 11.3%, respectively. However, there was no observable effect on seed germination rates. Except for the peroxidase (POD) activity in the 150 mg/L group, all antioxidant enzyme activities and malondialdehyde (MDA) levels were higher in the treated root tips than in the control group. Both transcriptome and metabolomic analysis profiles showed 2075 and 4635 differentially expressed genes (DEGs) in the high- and low-concentration groups, respectively, and 1961 metabolites under each treatment. PVC NPs predominantly influenced seedling growth by interfering with plant hormone signaling pathways and phenylpropanoid production. Notably, the reported toxicity was more evident at lower concentrations. This can be accounted for by the plant’s “growth-defense trade-off” strategy and the manner in which nanoparticles aggregate. By clarifying how PVC NPs coordinately regulate plant stress responses via hormone signaling and phenylpropanoid biosynthesis pathways, this research offers a scientific basis for assessing environmental concerns related to nanoplastics in agricultural systems. Full article

(This article belongs to the Special Issue Stress Physiology and Molecular Biology of Vegetable Crops)

► Show Figures

Figure 1

23 pages, 3940 KiB

Open AccessArticle

Recovery Strategies for Combined Optical Storage Systems Based on System Short-Circuit Ratio (SCR) Thresholds

by Qingji Yang, Baohong Li, Qin Jiang and Qiao Peng

Energies 2025, 18(15), 4112; https://doi.org/10.3390/en18154112 (registering DOI) - 3 Aug 2025

Abstract

The penetration rate of variable energy sources in the current power grid is increasing, with the aim being to expand the use of these energy sources and to replace the traditional black start power supply. This study investigates the black start of a [...] Read more.

The penetration rate of variable energy sources in the current power grid is increasing, with the aim being to expand the use of these energy sources and to replace the traditional black start power supply. This study investigates the black start of a photovoltaic storage joint system based on the system’s short-circuit ratio threshold. Firstly, the principles and control modes of the photovoltaic (PV) system, energy storage system (ESS), and high-voltage direct current (DC) transmission system are studied separately to build an overall model; secondly, computational determinations of the short-circuit ratio under different scenarios are introduced to analyze the strength of the system, and the virtual inertia and virtual damping of the PV system are configured based on this; finally, the change trend of the storage system’s state of charge (SOC) is computed and observed, and the limits of what the system can support in each stage are determined. An electromagnetic transient simulation model of a black start system is constructed in PSCAD/EMTDC, and according to the proposed recovery strategy, the system frequency is maintained in the range of 49.4~50.6 Hz during the entire black start process; the fluctuation in maximum frequency after the recovery of the DC transmission system is no more than 0.1%; and the fluctuation in photovoltaic power at each stage is less than 3%. In addition, all the key indexes meet the requirements for black start technology, which verifies the validity of the strategy and provides theoretical support and a practical reference for the black start of a grid with variable energy sources. Full article

(This article belongs to the Special Issue Analysis and Control of Power System Stability)

► Show Figures

Figure 1

16 pages, 3523 KiB

Open AccessArticle

Vegetation Composition and Environmental Relationships of Two Amaranthus Species Communities in Variant Agroecosystems at Fayoum Depression, Egypt

by Mai Sayed Fouad, Manar A. Megahed, Nabil A. Abo El-Kassem, Hoda F. Zahran and Abdel-Nasser A. A. Abdel-Hafeez

Diversity 2025, 17(8), 551; https://doi.org/10.3390/d17080551 (registering DOI) - 3 Aug 2025

Abstract

Amaranthus is appointed as a common weed associated with crops. The research was designed to survey the Amaranth existence pattern throughout the Fayoum Depression, Egypt, accompanied with a community vegetation analysis. The study was extended to collect and analyze associated soil samples. The [...] Read more.

Amaranthus is appointed as a common weed associated with crops. The research was designed to survey the Amaranth existence pattern throughout the Fayoum Depression, Egypt, accompanied with a community vegetation analysis. The study was extended to collect and analyze associated soil samples. The obtained results figured out the prevalence of dicot families, herb growth forms, therophyte followed by phanerophyte life forms, the Pantropical monoregional chorotype, and the Mediterranean and Sudano-Zambezian followed by the Irano-Turanian pluri-regional chorotype. Multilevel pattern analysis stated that Gossypium barbadense, Corchorus olitorius, Sorghum bicolor, Sesamum indicum, and Zea mays are indicator species most related to Amaranth occurrence and prediction. NMDS analysis denoting that the Ibshaway, Youssef Al Seddik, Itsa, and Fayoum districts are the most representative districts for Amaranth existence on the basis of edaphic resources. Itsa and Youssef Al Seddik, in addition to Itsa and Fayoum, resemble each other in species composition. High pH and CaCO₃ percentages were discriminatory in Ibshaway, Itsa, and Youssef Al Seddik. Ni was the cornerstone for districts partitioning in pruned trees. Finally, Amaranth was flourishing in both comfortable and harsh habitats with cultivated crops and orchards, as well as on the outskirts. The findings are considered to be valorized by decision makers in arable land management. Full article

(This article belongs to the Section Plant Diversity)

► Show Figures

Figure 1

12 pages, 1647 KiB

Open AccessArticle

Detection of Burkholderia mallei in Microbiological Culture: A Comparative Analysis of PCR Primer Sets

by Jéssica Cristine K. Moriya, Paula Adas P. Suniga, Ana Clara L. Araújo, Maria Goretti Santos, Juliana S. G. Rieger, Cynthia Mantovani, Rodrigo Jardim, Márcio Roberto Silva, Flábio R. Araújo and Lenita R. Santos

Pathogens 2025, 14(8), 766; https://doi.org/10.3390/pathogens14080766 (registering DOI) - 2 Aug 2025

Abstract

Glanders is a highly contagious and often fatal zoonotic disease of equids caused by Burkholderia mallei, a pathogen of significant concern due to its potential for bioterrorism. In Brazil, glanders remains endemic, particularly among working equids in the Northeast region. Diagnostic confirmation [...] Read more.

Glanders is a highly contagious and often fatal zoonotic disease of equids caused by Burkholderia mallei, a pathogen of significant concern due to its potential for bioterrorism. In Brazil, glanders remains endemic, particularly among working equids in the Northeast region. Diagnostic confirmation typically involves serology, culture, and polymerase chain reaction (PCR), although false-negative PCR results have been increasingly reported. This study aimed to evaluate the diagnostic performance and analytical sensitivity of four B. mallei-specific PCR primer sets using samples from 30 seropositive equids. Microbiological cultures were obtained from various organs and swabs, followed by PCR targeting four genomic regions: fliP-IS407A(a), fliP-IS407A(b), Burk457, and Bm17. All animals were confirmed positive for B. mallei via culture, but PCR detection rates varied significantly across primer sets. The fliP-IS407A(b) primer set showed the highest sensitivity, detecting 86% of samples, while the WOAH-recommended fliP-IS407A(a) set had the lowest performance (13.4%). Analytical sensitivity assays confirmed that fliP-IS407A(b) and Bm17 primers detected DNA concentrations as low as 0.007 ng, outperforming the others. These findings suggest that certain widely used primer sets may lack sufficient sensitivity for reliable detection of B. mallei, especially in chronically infected animals with low bacterial loads. The study underscores the need for ongoing validation of molecular diagnostics to improve the detection and control of glanders in endemic regions. Full article

(This article belongs to the Section Bacterial Pathogens)

► Show Figures

Figure 1

11 pages, 301 KiB

Open AccessArticle

Impact of Maternal Overweight and Obesity on Pregnancy Outcomes Following Cesarean Delivery: A Retrospective Cohort Study

by Zlatina Nikolova, Milena Sandeva, Ekaterina Uchikova, Angelina Kirkova-Bogdanova, Daniela Taneva, Marieta Vladimirova and Lyubomira Georgieva

Healthcare 2025, 13(15), 1893; https://doi.org/10.3390/healthcare13151893 (registering DOI) - 2 Aug 2025

Abstract

Background/Objectives: Maternal overweight and obesity are critical factors increasing the risk of various pregnancy complications. Maternal obesity can lead to fetal macrosomia and a heightened risk of intrauterine death, with long-term implications for the child’s health. This study aimed to analyze the [...] Read more.

Background/Objectives: Maternal overweight and obesity are critical factors increasing the risk of various pregnancy complications. Maternal obesity can lead to fetal macrosomia and a heightened risk of intrauterine death, with long-term implications for the child’s health. This study aimed to analyze the incidence of obesity and its impact on pregnancy outcomes in women who delivered by cesarean section at the University Hospital “St. George”, Plovdiv. Methods: A single-center retrospective cohort study was conducted. The documentary method was used for gathering data. Records were randomly selected. The statistical methods used included mean values, confidence intervals (of mean), frequency, and the Kolmogorov–Smirnov test for normality of distribution. Data comparisons were performed using the Mann–Whitney test. Mean values of numerical variables were compared using the independent samples t-test. Results: In total, 46.36% of women in this study were affected by obesity to varying degrees, and the proportion of women who were overweight at the end of their pregnancy was 37.85%. In the studied cohort, 15.99% of women were affected by hypertensive complications. This significant prevalence of obesity highlights concerns regarding body weight among women of reproductive age. This study emphasized a strong correlation between maternal obesity, particularly severe obesity, and the occurrence of preeclampsia. Conclusions: In this study among women who delivered by cesarean section, a significant proportion of them were affected by overweight and obesity. Data for our country are insufficient, and a more in-depth study of this problem is needed. Future research should explore the long-term impacts of maternal obesity on the health of the mother and the newborn. Full article

(This article belongs to the Special Issue Focus on Maternal, Pregnancy and Child Health)

► Show Figures

Figure 1

18 pages, 314 KiB

Open AccessArticle

The Economic Contributions of the Virginia Seafood Industry and the Effects of Virginia Seafood Products in Retail Stores and Restaurants in 2023

by Fernando H. Gonçalves, Jonathan van Senten and Michael H. Schwarz

Fishes 2025, 10(8), 373; https://doi.org/10.3390/fishes10080373 (registering DOI) - 2 Aug 2025

Abstract

Virginia’s coastal location and abundant marine resources make its seafood industry a vital contributor to the state’s economy, supporting both local communities and tourism. This study applied input–output models and updates the economic contributions of the Virginia seafood industry using 2023 data, building [...] Read more.

Virginia’s coastal location and abundant marine resources make its seafood industry a vital contributor to the state’s economy, supporting both local communities and tourism. This study applied input–output models and updates the economic contributions of the Virginia seafood industry using 2023 data, building on models developed for 2019 that capture both direct effects and broader economic ripple effects. In 2023, the industry generated USD 1.27 billion in total economic output and supported over 6500 jobs—including watermen, aquaculture farmers, processors, and distributors—resulting in USD 238.3 million in labor income. Contributions to state GDP totaled USD 976.7 million, and tax revenues exceeded USD 390.4 million. The study also evaluates the economic role of Virginia seafood products sold in retail stores and restaurants, based on secondary data sources. In 2023, these sectors generated USD 458 million in economic output, supported more than 3600 jobs, produced USD 136.7 million in labor income, and USD 280.8 million in value-added. Combined tax contributions surpassed USD 74 million. Importantly, the analysis results for the Virginia seafood products from retail and restaurant should not be summed to the seafood industry totals to avoid double-counting, as seafood products move as output from one sector as an input to another. These results provide evidence-based insights to guide decision-making, inform stakeholders, and support continued investment in Virginia’s seafood supply chain and related economic activities. Full article

(This article belongs to the Section Fishery Economics, Policy, and Management)

► Show Figures

Figure 1

25 pages, 28131 KiB

Open AccessArticle

Landslide Susceptibility Assessment in Ya’an Based on Coupling of GWR and TabNet

by Jiatian Li, Ruirui Wang, Wei Shi, Le Yang, Jiahao Wei, Fei Liu and Kaiwei Xiong

Remote Sens. 2025, 17(15), 2678; https://doi.org/10.3390/rs17152678 (registering DOI) - 2 Aug 2025

Abstract

Landslides are destructive geological hazards, making accurate landslide susceptibility assessment essential for disaster prevention and mitigation. However, existing studies often lack scientific rigor in negative sample construction and have unclear model applicability. This study focuses on Ya’an City, Sichuan Province, China, and proposes [...] Read more.

Landslides are destructive geological hazards, making accurate landslide susceptibility assessment essential for disaster prevention and mitigation. However, existing studies often lack scientific rigor in negative sample construction and have unclear model applicability. This study focuses on Ya’an City, Sichuan Province, China, and proposes an innovative approach to negative sample construction using Geographically Weighted Regression (GWR), which is then integrated with Tabular Network (TabNet), a deep learning architecture tailored to structured tabular data, to assess landslide susceptibility. The performance of TabNet is compared against Random Forest, Light Gradient Boosting Machine, deep neural networks, and Residual Networks. The experimental results indicate that (1) the GWR-based sampling strategy substantially improves model performance across all tested models; (2) TabNet trained using the GWR-based negative samples achieves superior performance over all other evaluated models, with an average AUC of 0.9828, exhibiting both high accuracy and interpretability; and (3) elevation, land cover, and annual Normalized Difference Vegetation Index are identified as dominant predictors through TabNet’s feature importance analysis. The results demonstrate that combining GWR and TabNet substantially enhances landslide susceptibility modeling by improving both accuracy and interpretability, establishing a more scientifically grounded approach to negative sample construction, and providing an interpretable, high-performing modeling framework for geological hazard risk assessment. Full article

► Show Figures

Figure 1

17 pages, 2085 KiB

Open AccessArticle

Identification Method of Weak Nodes in Distributed Photovoltaic Distribution Networks for Electric Vehicle Charging Station Planning

by Xiaoxing Lu, Xiaolong Xiao, Jian Liu, Ning Guo, Lu Liang and Jiacheng Li

World Electr. Veh. J. 2025, 16(8), 433; https://doi.org/10.3390/wevj16080433 (registering DOI) - 2 Aug 2025

Abstract

With the large-scale integration of high-penetration distributed photovoltaic (DPV) into distribution networks, its output volatility and reverse power flow characteristics are prone to causing voltage violations, necessitating the accurate identification of weak nodes to enhance operational reliability. This paper investigates the definition, quantification [...] Read more.

With the large-scale integration of high-penetration distributed photovoltaic (DPV) into distribution networks, its output volatility and reverse power flow characteristics are prone to causing voltage violations, necessitating the accurate identification of weak nodes to enhance operational reliability. This paper investigates the definition, quantification criteria, and multi-indicator comprehensive determination methods for weak nodes in distribution networks. A multi-criteria assessment method integrating voltage deviation rate, sensitivity analysis, and power margin has been proposed. This method quantifies the node disturbance resistance and comprehensively evaluates the vulnerability of voltage stability. Simulation validation based on the IEEE 33-node system demonstrates that the proposed method can effectively identify the distribution patterns of weak nodes under different penetration levels (20~80%) and varying numbers of DPV access points (single-point to multi-point distributed access scenarios). The study reveals the impact of increased penetration and dispersed access locations on the migration characteristics of weak nodes. The research findings provide a theoretical basis for the planning of distribution networks with high-penetration DPV, offering valuable insights for optimizing the siting of volatile loads such as electric vehicle (EV) charging stations while considering both grid safety and the demand for distributed energy accommodation. Full article

(This article belongs to the Special Issue Fast-Charging Station for Electric Vehicles: Challenges and Issues)

► Show Figures

Figure 1

38 pages, 6505 KiB

Open AccessReview

Trends in Oil Spill Modeling: A Review of the Literature

by Rodrigo N. Vasconcelos, André T. Cunha Lima, Carlos A. D. Lentini, José Garcia V. Miranda, Luís F. F. de Mendonça, Diego P. Costa, Soltan G. Duverger and Elaine C. B. Cambui

Water 2025, 17(15), 2300; https://doi.org/10.3390/w17152300 (registering DOI) - 2 Aug 2025

Abstract

Oil spill simulation models are essential for predicting the oil spill behavior and movement in marine environments. In this study, we comprehensively reviewed a large and diverse body of peer-reviewed literature obtained from Scopus and Web of Science. Our initial analysis phase focused [...] Read more.

Oil spill simulation models are essential for predicting the oil spill behavior and movement in marine environments. In this study, we comprehensively reviewed a large and diverse body of peer-reviewed literature obtained from Scopus and Web of Science. Our initial analysis phase focused on examining trends in scientific publications, utilizing the complete dataset derived after systematic screening and database integration. In the second phase, we applied elements of a systematic review to identify and evaluate the most influential contributions in the scientific field of oil spill simulations. Our analysis revealed a steady and accelerating growth of research activity over the past five decades, with a particularly notable expansion in the last two. The field has also experienced a marked increase in collaborative practices, including a rise in international co-authorship and multi-authored contributions, reflecting a more global and interdisciplinary research landscape. We cataloged the key modeling frameworks that have shaped the field from established systems such as OSCAR, OIL-MAP/SIMAP, and GNOME to emerging hybrid and Lagrangian approaches. Hydrodynamic models were consistently central, often integrated with biogeochemical, wave, atmospheric, and oil-spill-specific modules. Environmental variables such as wind, ocean currents, and temperature were frequently used to drive model behavior. Geographically, research has concentrated on ecologically and economically sensitive coastal and marine regions. We conclude that future progress will rely on the real-time integration of high-resolution environmental data streams, the development of machine-learning-based surrogate models to accelerate computations, and the incorporation of advanced biodegradation and weathering mechanisms supported by experimental data. These advancements are expected to enhance the accuracy, responsiveness, and operational value of oil spill modeling tools, supporting environmental monitoring and emergency response. Full article

(This article belongs to the Special Issue Advanced Remote Sensing for Coastal System Monitoring and Management)

► Show Figures

Figure 1

11 pages, 782 KiB

Open AccessArticle

Exploring the Association Between Platelet Count, the Systemic Immune Inflammation Index, and Fracture Risk in Postmenopausal Women with Osteoporosis: A Cross-Sectional Study

by Cecilia Oliveri, Anastasia Xourafa, Rita Maria Agostino, Valentina Corigliano, Antonino Botindari, Agostino Gaudio, Nunziata Morabito, Alessandro Allegra and Antonino Catalano

J. Clin. Med. 2025, 14(15), 5453; https://doi.org/10.3390/jcm14155453 (registering DOI) - 2 Aug 2025

Abstract

Background/Objectives: Platelets play a role in bone metabolism and fracture healing. This study aimed to investigate the association between platelet indices and the derived systemic immune inflammation index (SII) with fracture risk in postmenopausal women. Methods: Platelet count, mean platelet volume, platelet distribution [...] Read more.

Background/Objectives: Platelets play a role in bone metabolism and fracture healing. This study aimed to investigate the association between platelet indices and the derived systemic immune inflammation index (SII) with fracture risk in postmenopausal women. Methods: Platelet count, mean platelet volume, platelet distribution width (PDW), platelet crit, percentage of large platelets (P-LCR), platelet–lymphocyte ratio, and the SII, calculated as (NxP)/L, where N, P, and L represented neutrophils, platelets and lymphocytes counts, respectively, were evaluated. Bone mineral density (BMD) was measured using dual-energy X-ray absorptiometry. Results: A total of 124 women (mean age 68.4 ± 9 years) were stratified into two groups based on the median platelet count; the “lower platelet count group” (n = 58) had a count of 200,000 (174,000 to 226,000), while the “higher platelet count group” (n = 66) had a count of 281,500 (256,500 to 308,500). The higher platelet count group showed a higher hip fracture risk (7.4 vs. 4.5%, p = 0.08) and lower lumbar spine BMD (0.773 vs. 0.83 gr/cm², p = 0.03). By dividing the participants into two groups with higher SSI (950,848.6 ± 746,097.99) (n = 61) and lower SII (355,751.2 ± 88,662.6) (n = 63), the group with the higher SII showed the higher hip fracture risk (7.4 vs. 3.6%, p = 0.01). Univariate regression analysis revealed correlations between chronological age and PDW (r = 0.188, p = 0.047), and P-LCR (r = 0.208, p = 0.03), as well as associations between vitamin D status and P-LCR (r = −0.301, p = 0.034), and between SII and hip fracture risk (r = 0.12, p = 0.007). Conclusions: Platelet count and SII were associated with fracture risk in postmenopausal women undergoing osteoporosis assessment. Given their reproducibility and cost-effectiveness, these markers warrant further investigation in future prospective studies focused on bone fragility. Full article

(This article belongs to the Special Issue Diagnosis, Treatment, Prevention and Rehabilitation in Osteoporosis)

► Show Figures

Figure 1

17 pages, 516 KiB

Open AccessArticle

Incidence and Predictive Factors of Acute Kidney Injury After Major Hepatectomy: Implications for Patient Management in Era of Enhanced Recovery After Surgery (ERAS) Protocols

by Henri Mingaud, Jean Manuel de Guibert, Jonathan Garnier, Laurent Chow-Chine, Frederic Gonzalez, Magali Bisbal, Jurgita Alisauskaite, Antoine Sannini, Marc Léone, Marie Tezier, Maxime Tourret, Sylvie Cambon, Jacques Ewald, Camille Pouliquen, Lam Nguyen Duong, Florence Ettori, Olivier Turrini, Marion Faucher and Djamel Mokart

J. Clin. Med. 2025, 14(15), 5452; https://doi.org/10.3390/jcm14155452 (registering DOI) - 2 Aug 2025

Abstract

Background: Acute kidney injury (AKI) frequently occurs following major liver resection, adversely affecting both short- and long-term outcomes. This study aimed to determine the incidence of AKI post-hepatectomy and identify relevant pre- and intraoperative risk factors. Our secondary objectives were to develop [...] Read more.

Background: Acute kidney injury (AKI) frequently occurs following major liver resection, adversely affecting both short- and long-term outcomes. This study aimed to determine the incidence of AKI post-hepatectomy and identify relevant pre- and intraoperative risk factors. Our secondary objectives were to develop a predictive score for postoperative AKI and assess the associations between AKI, chronic kidney disease (CKD), and 1-year mortality. Methods: This was a retrospective study in a cancer referral center in Marseille, France, from 2018 to 2022. Results: Among 169 patients, 55 (32.5%) experienced AKI. Multivariate analysis revealed several independent risk factors for postoperative AKI, including age, body mass index, the use of angiotensin-converting enzyme inhibitors/angiotensin receptor blockers, time to liver resection, intraoperative shock, and bile duct reconstruction. Neoadjuvant chemotherapy was protective. The AKIMEBO score was developed, with a threshold of ≥15.6, demonstrating a sensitivity of 89.5%, specificity of 76.4%, positive predictive value of 61.8%, and negative predictive value of 94.4%. AKI was associated with increased postoperative morbidity and one-year mortality following major hepatectomy. Conclusion: AKI is a common complication post-hepatectomy. Factors such as time to liver resection and intraoperative shock management present potential clinical intervention points. The AKIMEBO score can provide a valuable tool for postoperative risk stratification. Full article

(This article belongs to the Section Gastroenterology & Hepatopancreatobiliary Medicine)

► Show Figures

Figure 1

22 pages, 5283 KiB

Open AccessArticle

Transcriptome Analysis Reveals Candidate Pathways and Genes Involved in Wheat (Triticum aestivum L.) Response to Zinc Deficiency

by Shoujing Zhu, Shiqi Zhang, Wen Wang, Nengbing Hu and Wenjuan Shi

Biology 2025, 14(8), 985; https://doi.org/10.3390/biology14080985 (registering DOI) - 2 Aug 2025

Abstract

Zinc (Zn) deficiency poses a major global health challenge, and wheat grains generally contain low Zn concentrations. In this study, the wheat cultivar ‘Zhongmai 175’ was identified as zinc-efficient. Hydroponic experiments demonstrated that Zn deficiency induced the secretion of oxalic acid and malic [...] Read more.

Zinc (Zn) deficiency poses a major global health challenge, and wheat grains generally contain low Zn concentrations. In this study, the wheat cultivar ‘Zhongmai 175’ was identified as zinc-efficient. Hydroponic experiments demonstrated that Zn deficiency induced the secretion of oxalic acid and malic acid in root exudates and significantly increased total root length in ‘Zhongmai 175’. To elucidate the underlying regulatory mechanisms, transcriptome profiling via RNA sequencing was conducted under Zn-deficient conditions. A total of 2287 and 1935 differentially expressed genes (DEGs) were identified in roots and shoots, respectively. Gene Ontology enrichment analysis revealed that these DEGs were primarily associated with Zn ion transport, homeostasis, transmembrane transport, and hormone signaling. Key DEGs belonged to gene families including VIT, NAS, DMAS, ZIP, tDT, HMA, and NAAT. KEGG pathway analysis indicated that phenylpropanoid biosynthesis, particularly lignin synthesis genes, was significantly downregulated in Zn-deficient roots. In shoots, cysteine and methionine metabolism, along with plant hormone signal transduction, were the most enriched pathways. Notably, most DEGs in shoots were associated with the biosynthesis of phytosiderophores (MAs, NA) and ethylene. Overall, genes involved in Zn ion transport, phytosiderophore biosynthesis, dicarboxylate transport, and ethylene biosynthesis appear to play central roles in wheat’s adaptive response to Zn deficiency. These findings provide a valuable foundation for understanding the molecular basis of Zn efficiency in wheat and for breeding Zn-enriched varieties. Full article

► Show Figures

Figure 1

16 pages, 2901 KiB

Open AccessArticle

Unveiling the Genetic Landscape of Canine Papillomavirus in the Brazilian Amazon

by Jeneffer Caroline de Macêdo Sousa, André de Medeiros Costa Lins, Fernanda dos Anjos Souza, Higor Ortiz Manoel, Cleyton Silva de Araújo, Lorena Yanet Cáceres Tomaya, Paulo Henrique Gilio Gasparotto, Vyctoria Malayhka de Abreu Góes Pereira, Acácio Duarte Pacheco, Fernando Rosado Spilki, Mariana Soares da Silva, Felipe Masiero Salvarani, Cláudio Wageck Canal, Flavio Roberto Chaves da Silva and Cíntia Daudt

Microorganisms 2025, 13(8), 1811; https://doi.org/10.3390/microorganisms13081811 (registering DOI) - 2 Aug 2025

Abstract

Papillomaviruses (PVs) are double-stranded DNA viruses known to induce a variety of epithelial lesions in dogs, ranging from benign hyperplasia to malignancies. In regions of rich biodiversity such as the Western Amazon, data on the circulation and genetic composition of canine papillomaviruses (CPVs) [...] Read more.

Papillomaviruses (PVs) are double-stranded DNA viruses known to induce a variety of epithelial lesions in dogs, ranging from benign hyperplasia to malignancies. In regions of rich biodiversity such as the Western Amazon, data on the circulation and genetic composition of canine papillomaviruses (CPVs) remain scarce. This study investigated CPV types present in oral and cutaneous papillomatous lesions in domiciled dogs from Acre and Rondônia States, Brazil. Sixty-one dogs with macroscopically consistent lesions were clinically evaluated, and tissue samples were collected for histopathological examination and PCR targeting the L1 gene. Among these, 37% were histologically diagnosed as squamous papillomas or fibropapillomas, and 49.2% (30/61) tested positive for papillomavirus DNA. Sequencing of the L1 gene revealed that most positive samples belonged to CPV1 (Lambdapapillomavirus 2), while one case was identified as CPV8 (Chipapillomavirus 3). Complete genomes of three CPV1 strains were obtained via high-throughput sequencing and showed high identity with CPV1 strains from other Brazilian regions. Phylogenetic analysis confirmed close genetic relationships among isolates across distinct geographic areas. These findings demonstrate the circulation of genetically conserved CPVs in the Amazon and reinforce the value of molecular and histopathological approaches for the accurate diagnosis and surveillance of viral diseases in domestic dogs, especially in ecologically complex regions. Full article

(This article belongs to the Topic Advances in Infectious and Parasitic Diseases of Animals)

► Show Figures

Figure 1

24 pages, 4301 KiB

Open AccessArticle

Estimation of the Kinetic Coefficient of Friction of Asphalt Pavements Using the Top Topography Surface Roughness Power Spectrum

by Bo Sun, Haoyuan Luo, Yibo Rong and Yanqin Yang

Materials 2025, 18(15), 3643; https://doi.org/10.3390/ma18153643 (registering DOI) - 2 Aug 2025

Abstract

This study proposes a method for estimating the kinetic coefficient of friction (COF) for asphalt pavements by improving and applying Persson’s friction theory. The method utilizes the power spectral density (PSD) of the top surface topography instead of the full PSD to better [...] Read more.

This study proposes a method for estimating the kinetic coefficient of friction (COF) for asphalt pavements by improving and applying Persson’s friction theory. The method utilizes the power spectral density (PSD) of the top surface topography instead of the full PSD to better reflect the actual contact conditions. This approach avoids including deeper roughness components that do not contribute to real rubber–pavement contact due to surface skewness. The key aspect of the method is determining an appropriate cutting plane to isolate the top surface. Four cutting strategies were evaluated. Results show that the cutting plane defined at 0.5 times the root mean square (RMS) height exhibits the highest robustness across all pavement types, with the estimated COF closely matching the measured values for all four tested surfaces. This study presents an improved method for estimating the kinetic coefficient of friction (COF) of asphalt pavements by employing the power spectral density (PSD) of the top surface roughness, rather than the total surface profile. This refinement is based on Persson’s friction theory and aims to exclude the influence of deep surface irregularities that do not make actual contact with the rubber interface. The core of the method lies in defining an appropriate cutting plane to isolate the topographical features that contribute most to frictional interactions. Four cutting strategies were investigated. Among them, the cutting plane positioned at 0.5 times the root mean square (RMS) height demonstrated the best overall applicability. COF estimates derived from this method showed strong consistency with experimentally measured values across all four tested asphalt pavement surfaces, indicating its robustness and practical potential. Full article

(This article belongs to the Section Construction and Building Materials)

30 pages, 8223 KiB

Open AccessArticle

Optimal Time–Jerk Trajectory Planning for Manipulators Based on a Constrained Multi-Objective Dream Optimization Algorithm

by Zhijun Wu, Fang Wang and Tingting Bao

Machines 2025, 13(8), 682; https://doi.org/10.3390/machines13080682 (registering DOI) - 2 Aug 2025

Abstract

A multi-objective optimal trajectory planning method is proposed for manipulators in this paper to enhance motion efficiency and to reduce component wear while ensuring motion smoothness. The trajectory is initially interpolated in the joint space by using quintic non-uniform B-splines with virtual points, [...] Read more.

A multi-objective optimal trajectory planning method is proposed for manipulators in this paper to enhance motion efficiency and to reduce component wear while ensuring motion smoothness. The trajectory is initially interpolated in the joint space by using quintic non-uniform B-splines with virtual points, achieving the C⁴ continuity of joint motion and satisfying dynamic, kinematic, geometric, synchronization, and boundary constraints. The interpolation reformulates the trajectory planning problem into an optimization problem, where the time intervals between desired adjacent waypoints serve as variables. Travelling time and the integral of the squared jerk along the entire trajectories comprise the multi-objective functions. A constrained multi-objective dream optimization algorithm is designed to solve the time–jerk optimal trajectory planning problem and generate Pareto solutions for optimized trajectories. Simulations conducted on 6-DOF manipulators validate the effectiveness and superiority of the proposed method in comparison with existing typical trajectory planning methods. Full article

(This article belongs to the Special Issue Cutting-Edge Automation in Robotic Machining)

► Show Figures

Figure 1

21 pages, 672 KiB

Open AccessSystematic Review

Assessing and Understanding Educators’ Experiences of Synchronous Hybrid Learning in Universities: A Systematic Review

by Hannah Clare Wood, Michael Detyna and Eleanor Jane Dommett

Educ. Sci. 2025, 15(8), 987; https://doi.org/10.3390/educsci15080987 (registering DOI) - 2 Aug 2025

Abstract

The rise in online learning, accelerated by the COVID-19 pandemic, has led to greater use of synchronous hybrid learning (SHL) in higher education. SHL allows simultaneous teaching of in-person and online learners through videoconferencing tools. Previous studies have identified various benefits (e.g., flexibility) [...] Read more.

The rise in online learning, accelerated by the COVID-19 pandemic, has led to greater use of synchronous hybrid learning (SHL) in higher education. SHL allows simultaneous teaching of in-person and online learners through videoconferencing tools. Previous studies have identified various benefits (e.g., flexibility) and challenges (e.g., student engagement) to SHL. Whilst systematic reviews have emerged on this topic, few studies have considered the experiences of staff. The aim of this review was threefold: (i) to better understand how staff experiences and perceptions are assessed, (ii) to understand staff experiences in terms of the benefits and challenges of SHL and (iii) to identify recommendations for effective teaching and learning using SHL. In line with the PRISMA guidance, we conducted a systematic review across four databases, identifying 14 studies for inclusion. Studies were conducted in nine different countries and covered a range of academic disciplines. Most studies adopted qualitative methods, with small sample sizes. Measures used were typically novel and unvalidated. Four themes were identified relating to (i) technology, (ii) redesigning teaching and learning, (iii) student engagement and (iv) staff workload. In terms of recommendations, ensuring adequate staff training and ongoing classroom support were considered essential. Additionally, active and collaborative learning were considered important to address issues with interactivity. Whilst these findings largely aligned with previous work, this review also identified limited reporting in research in this area, and future studies are needed to address this. Full article

(This article belongs to the Section Higher Education)

► Show Figures

Figure 1

31 pages, 9769 KiB

Open AccessReview

Recent Advances of Hybrid Nanogenerators for Sustainable Ocean Energy Harvesting: Performance, Applications, and Challenges

by Enrique Delgado-Alvarado, Enrique A. Morales-Gonzalez, José Amir Gonzalez-Calderon, Ma. Cristina Irma Peréz-Peréz, Jesús Delgado-Maciel, Mariana G. Peña-Juarez, José Hernandez-Hernandez, Ernesto A. Elvira-Hernandez, Maximo A. Figueroa-Navarro and Agustin L. Herrera-May

Technologies 2025, 13(8), 336; https://doi.org/10.3390/technologies13080336 (registering DOI) - 2 Aug 2025

Abstract

Ocean energy is an abundant, eco-friendly, and renewable energy resource that is useful for powering sensor networks connected to the maritime Internet of Things (MIoT). These sensor networks can be used to measure different marine environmental parameters that affect ocean infrastructure integrity and [...] Read more.

Ocean energy is an abundant, eco-friendly, and renewable energy resource that is useful for powering sensor networks connected to the maritime Internet of Things (MIoT). These sensor networks can be used to measure different marine environmental parameters that affect ocean infrastructure integrity and harm marine ecosystems. This ocean energy can be harnessed through hybrid nanogenerators that combine triboelectric nanogenerators, electromagnetic generators, piezoelectric nanogenerators, and pyroelectric generators. These nanogenerators have advantages such as high-power density, robust design, easy operating principle, and cost-effective fabrication. However, the performance of these nanogenerators can be affected by the wear of their main components, reduction of wave frequency and amplitude, extreme corrosion, and sea storms. To address these challenges, future research on hybrid nanogenerators must improve their mechanical strength, including materials and packages with anti-corrosion coatings. Herein, we present recent advances in the performance of different hybrid nanogenerators to harvest ocean energy, including various transduction mechanisms. Furthermore, this review reports potential applications of hybrid nanogenerators to power devices in marine infrastructure or serve as self-powered MIoT monitoring sensor networks. This review discusses key challenges that must be addressed to achieve the commercial success of these nanogenerators, regarding design strategies with advanced simulation models or digital twins. Also, these strategies must incorporate new materials that improve the performance, reliability, and integration of future nanogenerator array systems. Thus, optimized hybrid nanogenerators can represent a promising technology for ocean energy harvesting with application in the maritime industry. Full article

(This article belongs to the Special Issue Technological Advances in Science, Medicine, and Engineering 2024)

► Show Figures

Graphical abstract

19 pages, 443 KiB

Open AccessArticle

Effects of a Flipped Classroom College Business Course on Students’ Pre-Class Preparation, In-Class Participation, Learning, and Skills Development

by Gordon Wang

Adm. Sci. 2025, 15(8), 301; https://doi.org/10.3390/admsci15080301 (registering DOI) - 2 Aug 2025

Abstract

As an example of pedagogical approaches that blend online and face-to-face instruction, the flipped classroom model has seen exponential growth in business schools. To explore its effectiveness, expectancy-value theory and cognitive load theory were employed to develop a framework linking students’ perceived usefulness [...] Read more.

As an example of pedagogical approaches that blend online and face-to-face instruction, the flipped classroom model has seen exponential growth in business schools. To explore its effectiveness, expectancy-value theory and cognitive load theory were employed to develop a framework linking students’ perceived usefulness of the online and in-person content to their pre-class preparation, class participation, perceived learning, and skills development. A preliminary test of this framework was conducted using a flipped Organizational Behavior course within a business diploma program at a publicly funded Canadian college. The perceived usefulness of the online component was positively associated with students’ pre-class preparation, which, in turn, was positively related to both their perceived learning and skills development. Implications for practice and directions for future research are discussed. Full article

(This article belongs to the Section Organizational Behavior)

► Show Figures

Figure 1

22 pages, 3994 KiB

Open AccessArticle

Analysis of Foaming Properties, Foam Stability, and Basic Physicochemical and Application Parameters of Bio-Based Car Shampoos

by Bartosz Woźniak, Agata Wawrzyńczak and Izabela Nowak

Coatings 2025, 15(8), 907; https://doi.org/10.3390/coatings15080907 (registering DOI) - 2 Aug 2025

Abstract

Environmental protection has become one of the key challenges of our time. This has led to an increase in pro-environmental activities in the field of cosmetics and household chemicals, where manufacturers are increasingly trying to meet the expectations of consumers who are aware [...] Read more.

Environmental protection has become one of the key challenges of our time. This has led to an increase in pro-environmental activities in the field of cosmetics and household chemicals, where manufacturers are increasingly trying to meet the expectations of consumers who are aware of the potential risks associated with the production of cosmetics and household chemistry products. This is one of the most important challenges of today’s industry, given that some of the raw materials still commonly used, such as surfactants, may be toxic to aquatic organisms. Many companies are choosing to use natural raw materials that have satisfactory performance properties but are also environmentally friendly. In addition, modern products are also characterized by reduced consumption of water, resources, and energy in production processes. These measures reduce the carbon footprint and reduce the amount of plastic packaging required. In the present study, seven formulations of environmentally friendly car shampoo concentrates were developed, based entirely on mixtures of bio-based surfactants. The developed formulations were tested for application on the car body surface, allowing the selection of the two best products. For these selected formulations, an in-depth physicochemical analysis was carried out, including pH, density, and viscosity measurements. Comparison of the results with commercial products available on the market was also performed. Additionally, using the multiple light scattering method, the foamability and foam stability were determined for the car shampoos developed. The results obtained indicate the very high application potential of the products under study, which combine high performance and environmental concerns. Full article

(This article belongs to the Section Environmental Aspects in Colloid and Interface Science)

► Show Figures

Figure 1

56 pages, 1035 KiB

Open AccessReview

Trace Elements—Role in Joint Function and Impact on Joint Diseases

by Łukasz Bryliński, Katarzyna Brylińska, Filip Woliński, Jolanta Sado, Miłosz Smyk, Olga Komar, Robert Karpiński, Marcin Prządka and Jacek Baj

Int. J. Mol. Sci. 2025, 26(15), 7493; https://doi.org/10.3390/ijms26157493 (registering DOI) - 2 Aug 2025

Abstract

Proper joint function has a significant impact on people’s quality of life. Joints are the point of connection between two or more bones and consist of at least three elements: joint surfaces, the joint capsule, and the joint cavity. Joint diseases are a [...] Read more.

Proper joint function has a significant impact on people’s quality of life. Joints are the point of connection between two or more bones and consist of at least three elements: joint surfaces, the joint capsule, and the joint cavity. Joint diseases are a serious social problem. Risk factors for the development of these diseases include overweight and obesity, gender, and intestinal microbiome disorders. Another factor that is considered to influence joint diseases is trace elements. Under normal conditions, elements such as iron (Fe), copper (Cu), cobalt (Co), iodine (I), manganese (Mn), zinc (Zn), silver (Ag), cadmium (Cd), mercury (Hg), lead (Pb), nickel (Ni) selenium (Se), boron (B), and silicon (Si) are part of enzymes involved in reactions that determine the proper functioning of cells, regulate redox metabolism, and determine the maturation of cells that build joint components. However, when the normal concentration of the above-mentioned elements is disturbed and toxic elements are present, dangerous joint diseases can develop. In this article, we focus on the role of trace elements in joint function. We describe the molecular mechanisms that explain their interaction with chondrocytes, osteocytes, osteoblasts, osteoclasts, and synoviocytes, as well as their proliferation, apoptosis, and extracellular matrix synthesis. We also focus on the role of these trace elements in the pathogenesis of joint diseases: rheumatoid arthritis (RA), osteoarthritis (OA), psoriatic arthritis (PsA), ankylosing spondylitis (AS), and systemic lupus erythematosus (SLE). We describe the roles of increased or decreased concentrations of individual elements in the pathogenesis and development of joint diseases and their impact on inflammation and disease progression, referring to molecular mechanisms. We also discuss their potential application in the treatment of joint diseases. Full article

(This article belongs to the Special Issue Musculoskeletal Disorders: From Molecular Pathology to Novel Therapeutic Approach)

► Show Figures

Figure 1

17 pages, 745 KiB

Open AccessFeature PaperArticle

The Relationship Between Parental Phubbing and Preschoolers’ Behavioral Problems: The Mediation Role of Mindful Attention Awareness

by Antonio Puligheddu, Annamaria Porru, Andrea Spano, Stefania Cataudella, Maria Lidia Mascia, Dolores Rollo, Cristina Cabras, Maria Pietronilla Penna and Daniela Lucangeli

Children 2025, 12(8), 1022; https://doi.org/10.3390/children12081022 (registering DOI) - 2 Aug 2025

Abstract

Phubbing, a relatively new phenomenon in the field of digital risks, refers to the act of ignoring someone in favor of focusing on a smartphone during face-to-face interactions. Parental phubbing, a specific form of this behavior, is a prevalent negative parenting practice that [...] Read more.

Phubbing, a relatively new phenomenon in the field of digital risks, refers to the act of ignoring someone in favor of focusing on a smartphone during face-to-face interactions. Parental phubbing, a specific form of this behavior, is a prevalent negative parenting practice that can affect parent–child relationships and child development. However, the impact of parental phubbing on the emotional and behavioral development of preschool children remains unclear. This study aims to explore the relationship between parental phubbing and preschoolers’ behavioral problems, as well as test whether parents’ mindful attention awareness (MAA) acts as a mediator between them. Method: A questionnaire was administered to 138 Italian parents (mean age = 38.5, SD = 6.2) of 138 kindergarten preschoolers (mean age = 3.9, SD = 1.03). Questionnaires included the Generic Scale of Phubbing (GSP), the Mindful Attention Awareness Scale (MAAS), and the Strengths and Difficulties Questionnaire (SDQ). Results: Analyses revealed a significant negative correlation between the MAAS and SDQ total scores, a positive correlation between the GSP total score and the SDQ total score, and a negative correlation between the GSP total score and the MAAS total score. The mediation analysis did not show a direct effect of GSP on SDQ, suggesting that parental phubbing did not directly predict children’s behavioral difficulties. Nevertheless, the indirect effect measured by bootstrapping was significant, indicating that parental MAA fully mediated the relationship between parental phubbing and preschoolers’ problematic behaviors. Conclusions: Although further research is needed, parental mindfulness may influence phubbing behaviors in parents providing valuable insights for early interventions aimed at reducing problem behaviors in young children. Full article

(This article belongs to the Section Pediatric Mental Health)

Recent Articles

Open Access Journals

Highly Accessed Articles

Latest Books

News

Blog Posts

Topics

Selected Special Issues

Selected Collections

Journals by Subject

Further Information

Guidelines

MDPI Initiatives

Follow MDPI