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22 pages, 4234 KiB  
Article
Furan–Urethane Monomers for Self-Healing Polyurethanes
by Polina Ponomareva, Zalina Lokiaeva, Daria Zakharova, Ilya Tretyakov, Elena Platonova, Aleksey Shapagin, Olga Alexeeva, Evgenia Antoshkina, Vitaliy Solodilov, Gleb Yurkov and Alexandr Berlin
Polymers 2025, 17(14), 1951; https://doi.org/10.3390/polym17141951 - 16 Jul 2025
Viewed by 239
Abstract
The repair efficiency of various self-healing materials often depends on the ability of the prepolymer and curing agent to form mixtures. This paper presents a synthesis and study of the properties of modified self-healing polyurethanes using the Diels–Alder reaction (DA reaction), obtained from [...] Read more.
The repair efficiency of various self-healing materials often depends on the ability of the prepolymer and curing agent to form mixtures. This paper presents a synthesis and study of the properties of modified self-healing polyurethanes using the Diels–Alder reaction (DA reaction), obtained from a maleimide-terminated preform and a series of furan–urethane curing agents. The most commonly used isocyanates (4,4′-methylene diphenyl diisocyanate (MDI), 2,4-tolylene diisocyanate (TDI), and hexamethylene diisocyanate (HDI)) and furan derivatives (furfurylamine, difurfurylamine, and furfuryl alcohol) were used as initial reagents for the synthesis of curing agents. For comparative analysis, polyurethanes were also obtained using the well-known “traditional” approach—from furan-terminated prepolymers based on mono- and difurfurylamine, as well as furfuryl alcohol and the often-used bismaleimide curing agent 1,10-(methylenedi-1,4-phenylene)bismaleimide (BMI). The structure and composition of all polymers were studied using spectroscopic methods. Molecular mass was determined using gel permeation chromatography (GPC). Thermal properties were studied using TGA, DSC, and TMA methods. The mechanical and self-healing properties of the materials were investigated via a uniaxial tensile test. Visual assessment of the completeness of damage restoration after the self-healing cycle was carried out using a scanning electron microscope. It was shown that the proposed modified approach helps obtain more durable polyurethanes with a high degree of self-healing of mechanical properties after damage. Full article
(This article belongs to the Special Issue Advances in Fracture and Failure of Polymers)
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17 pages, 48305 KiB  
Article
Spectral Components of Honey Bee Sound Signals Recorded Inside and Outside the Beehive: An Explainable Machine Learning Approach to Diurnal Pattern Recognition
by Piotr Książek, Urszula Libal and Aleksandra Król-Nowak
Sensors 2025, 25(14), 4424; https://doi.org/10.3390/s25144424 - 16 Jul 2025
Viewed by 504
Abstract
This study investigates the impact of microphone placement on honey bee audio monitoring for time-of-day classification, a key step toward automated activity monitoring and anomaly detection. Recognizing the time-dependent nature of bee behavior, we aimed to establish a baseline diurnal pattern recognition method. [...] Read more.
This study investigates the impact of microphone placement on honey bee audio monitoring for time-of-day classification, a key step toward automated activity monitoring and anomaly detection. Recognizing the time-dependent nature of bee behavior, we aimed to establish a baseline diurnal pattern recognition method. A custom apparatus enabled simultaneous audio acquisition from internal (brood frame, protected from propolization) and external hive locations. Sound signals were preprocessed using Power Spectral Density (PSD). Extra Trees and Convolutional Neural Network (CNN) classifiers were trained to identify diurnal activity patterns. Analysis focused on feature importance, particularly spectral characteristics. Interestingly, Extra Trees performance varied significantly. While achieving near-perfect accuracy (98–99%) with internal recordings, its accuracy was considerably lower (61–72%) with external recordings, even lower than CNNs trained on the same data (76–87%). Further investigation using Extra Trees and feature selection methods using Mean Decrease Impurity (MDI) and Recursive Feature Elimination with Cross-Validation (RFECV) revealed the importance of the 100–600 Hz band, with peaks around 100 Hz and 300 Hz. These findings inform future monitoring setups, suggesting potential for reduced sampling frequencies and underlining the need for monitoring of sound inside the beehive in order to validate methods being tested. Full article
(This article belongs to the Special Issue Acoustic Sensors and Their Applications—2nd Edition)
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15 pages, 1557 KiB  
Article
Factors Associated with Cure and Prediction of Cure of Clinical Mastitis of Dairy Cows
by Larissa V. F. Cruz, Ruan R. Daros, André Ostrensky and Cristina S. Sotomaior
Dairy 2025, 6(4), 37; https://doi.org/10.3390/dairy6040037 - 11 Jul 2025
Viewed by 306
Abstract
To study behavioral and productive factors to detect changes that may indicate and predict clinical mastitis cure, Holstein dairy cows (n = 60), in an automatic milking system (AMS) and equipped with behavioral monitoring collar, were monitored from the diagnosis of clinical [...] Read more.
To study behavioral and productive factors to detect changes that may indicate and predict clinical mastitis cure, Holstein dairy cows (n = 60), in an automatic milking system (AMS) and equipped with behavioral monitoring collar, were monitored from the diagnosis of clinical mastitis (D0) until clinical cure. The parameters collected through sensors were feeding activity, milk electrical conductivity (EC), milk yield, Mastitis Detection Index (MDi), milk flow, and number of gate passages. Clinical mastitis cases (n = 22) were monitored and divided into cured cases (n = 14) and non-cured cases within 30 days (n = 8), paired with a control case group (n = 28). Cows were assessed three times per week, and cure was determined when both clinical assessment and California Mastitis Test (CMT) results were negative in three consecutive evaluations. Mixed generalized linear regression was used to assess the relationship between parameters and clinical mastitis results. Mixed generalized logistic regression was used to create a predictive model. The average clinical cure time for cows with clinical mastitis was 11 days. Feeding activity, gate passages, milk yield, milk flow, EC, and the MDi were associated with cure. The predictive model based on data from D0 showed an Area Under the Curve of 0.89 (95% CI = 0.75–1). Sensitivity and specificity were 1 (95% CI = 1–1) and 0.63 (95% CI = 0.37–0.91), respectively. The predictive model demonstrated to have good internal sensitivity and specificity, showing promising potential for predicting clinical mastitis cure within 14 days based on data on the day of clinical mastitis diagnosis. Full article
(This article belongs to the Section Dairy Animal Health)
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39 pages, 4547 KiB  
Review
Inhalable Nanotechnology-Based Drug Delivery Systems for the Treatment of Inflammatory Lung Diseases
by Doaa Elsayed Mahmoud, Seyedeh Hanieh Hosseini, Hassaan Anwer Rathore, Alaaldin M. Alkilany, Andreas Heise and Abdelbary Elhissi
Pharmaceutics 2025, 17(7), 893; https://doi.org/10.3390/pharmaceutics17070893 - 9 Jul 2025
Viewed by 517
Abstract
This review explores recent advancements in inhaled nanoparticle formulations and inhalation devices, with a focus on various types of nanoparticles used for inhalation to treat inflammatory lung diseases and the types of devices used in their delivery. Medical nebulizers have been found to [...] Read more.
This review explores recent advancements in inhaled nanoparticle formulations and inhalation devices, with a focus on various types of nanoparticles used for inhalation to treat inflammatory lung diseases and the types of devices used in their delivery. Medical nebulizers have been found to be the most appropriate type of inhalation devices for the pulmonary delivery of nanoparticles, since formulations can be prepared using straightforward techniques, with no need for liquefied propellants as in the case of pressurized metered dose inhalers (pMDIs), or complicated preparation procedures as in the case of dry powder inhalers (DPIs). We demonstrated examples of how formulations should be designed considering the operation mechanism of nebulizers, and how an interplay of factors can affect the aerosol characteristics of nanoparticle formulations. Overall, nanoparticle-based formulations offer promising potential for the treatment of inflammatory lung diseases due to their unique physicochemical properties and ability to provide localized drug delivery in the lung following inhalation. Full article
(This article belongs to the Special Issue Recent Advances in Pulmonary Inhalation of Nanoformulations)
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14 pages, 1780 KiB  
Systematic Review
Effects of Prenatal Arsenic, Cadmium, and Manganese Exposure on Neurodevelopment in Children: A Systematic Review and Meta-Analysis
by Rui Su, Yi Jiang, Weikun Li, Wencheng Ding and Ling Feng
Medicina 2025, 61(7), 1143; https://doi.org/10.3390/medicina61071143 - 25 Jun 2025
Viewed by 324
Abstract
Objective: The aim of this study was to investigate the effects of prenatal heavy metal (arsenic, cadmium, manganese) exposure on infant neurodevelopment through a systematic review and meta-analysis, elucidating the toxicological mechanisms and dose–response relationships for consideration in environmental risk assessment. Methods [...] Read more.
Objective: The aim of this study was to investigate the effects of prenatal heavy metal (arsenic, cadmium, manganese) exposure on infant neurodevelopment through a systematic review and meta-analysis, elucidating the toxicological mechanisms and dose–response relationships for consideration in environmental risk assessment. Methods: Following the PRISMA guidelines, systematic searches were conducted in PubMed, Embase, and other databases, ultimately resulting in 17 observational studies involving 6907 participants. Results: Arsenic (As): A 50% increase in arsenic exposure was associated with a reduction of 0.51 points in the Mental Development Index (MDI; 95% CI: −1.43 to 0.4) and 0.15 points in the Psychomotor Development Index (PDI; 95% CI: −0.96 to 0.65). However, these results did not achieve statistical significance (p > 0.05). Cadmium (Cd): Prenatal cadmium exposure significantly decreased the Full-Scale Intelligence Quotient (FSIQ) in children aged 5–9 years. A 50% increase in cadmium exposure resulted in a 0.44-point drop in the FSIQ (95% CI: −0.67 to −0.21, p < 0.05), with stable effects (I2 = 0%). Manganese (Mn): Manganese exposure showed a negative association with the MDI (β = −0.11) and PDI (β = −0.18). However, a high degree of heterogeneity was observed (I2 = 20.89–73.35%), and some studies suggested potential risks even at low exposure levels. Sensitivity analyses indicated that the heterogeneity in the arsenic and manganese results mainly stemmed from individual study differences (e.g., sample characteristics), whereas the cadmium effects were consistent. Conclusions: Prenatal heavy metal exposure (notably cadmium) adversely impacts neurodevelopment, even at low doses. Future research should prioritize critical exposure windows, mixed effects, and sex-specific vulnerabilities. Strengthening environmental monitoring and prenatal guidelines is crucial to mitigate developmental risks. Full article
(This article belongs to the Section Obstetrics and Gynecology)
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17 pages, 2172 KiB  
Article
Beneficial Effect of the Mediterranean Diet on the Reduction of Prediabetes—Results of the Bialystok PLUS Study
by Magdalena Zalewska, Małgorzata E. Zujko, Jacek Jamiołkowski, Małgorzata Chlabicz, Magda Łapińska and Karol A. Kamiński
Nutrients 2025, 17(12), 2034; https://doi.org/10.3390/nu17122034 - 18 Jun 2025
Viewed by 830
Abstract
Background: The Mediterranean diet is considered one of the healthiest and safest diets for preventing chronic diseases. The primary objective of this study was to assess the association between adherence to the Mediterranean diet and the occurrence of prediabetes in a representative population [...] Read more.
Background: The Mediterranean diet is considered one of the healthiest and safest diets for preventing chronic diseases. The primary objective of this study was to assess the association between adherence to the Mediterranean diet and the occurrence of prediabetes in a representative population of Bialystok, Poland. Prediabetes is a condition characterized by elevated blood glucose levels that are higher than normal but not yet in the diabetic range, indicating an increased risk of developing type 2 diabetes. Methods: The study participants were selected into healthy control (HC) and prediabetic (PreD) groups based on age and gender. Biochemical measurements included total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), triglycerides (TG), fasting glucose (FG), glycated hemoglobin (HbA1c), high-sensitivity C-reactive protein (hs-CRP), interleukin-6 (IL-6). Additionally, blood pressure, handgrip strength, anthropometric parameters, and body composition were measured. Information on patients’ social data, medical history, and lifestyle history was collected using questionnaires developed for this study. A standardized questionnaire, the Satisfaction with Life Scale (SWLS), was used to assess life satisfaction. Dietary total antioxidant capacity (DTAC) and dietary total polyphenol intake (DTPI) were determined using a 3-day nutritional interview and appropriate databases containing information on polyphenols and the antioxidant potential of food products. To assess adherence to the Mediterranean diet recommendations, a 9-item Mediterranean Diet Index (MDI) was used. Results: It was found that the mean MDI for the entire group was low (3.98 ± 1.74), and the HC was characterized by a significantly higher MDI compared to the PreD. A statistically significant positive correlation was found between MDI and HDL-C, whereas a negative correlation was found between MDI and FG, homeostatic model assessment for insulin resistance (HOMA-IR), diastolic blood pressure (DBP), IL-6, body mass index (BMI), waist-hip ratio (WHR), waist circumference, visceral fat mass, android/gynoid fat ratio. Conclusions: Abdominal obesity was shown to significantly reduce life satisfaction. In model 3, after adjusting for age, sex, dietary energy intake, alcohol consumption, and smoking, each additional MDI point indicated a 10% lower risk of prediabetes. Full article
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14 pages, 782 KiB  
Article
Thermal Investigation of the Magnetised Porous Triangular Fins and Comparative Analysis of Magnetised and Non-Magnetised Triangular Fins
by Sharif Ullah, Mdi Begum Jeelani and Ghaliah Alhamzi
Mathematics 2025, 13(12), 1990; https://doi.org/10.3390/math13121990 - 16 Jun 2025
Viewed by 314
Abstract
Fins are extended surfaces designed to increase heat dissipation from hot sources to their surroundings. Heat transfer is improved by utilising fins of different geometrical shapes. Fins are extensively used in automobile parts, solar panels, electrical equipment, computer CPUs, refrigeration systems, and superheaters. [...] Read more.
Fins are extended surfaces designed to increase heat dissipation from hot sources to their surroundings. Heat transfer is improved by utilising fins of different geometrical shapes. Fins are extensively used in automobile parts, solar panels, electrical equipment, computer CPUs, refrigeration systems, and superheaters. Motivated by these applications, this study investigates the incorporation of magnetic fields and porosity into a convective–radiative triangular fin to enhance heat transfer performance. The shooting technique is applied to study thermal profile and efficiency of the fin. It is found that the magnetic number (Hartmann number), porosity, convective, and radiative parameters reduce the thermal profile, while the Peclet number and ambient temperature increase it. Moreover, the efficiency increases with an increase in the magnetic number, porosity, convective, and radiative parameters, whereas it declines with an increase in the Peclet number and ambient temperature. Increasing the magnetic number from 0.1 to 0.7 leads to a 4% reduction in the temperature profile. Similarly, raising the porosity parameter within the same range results in an approximate 3% decrease in the thermal profile. An increase in the convective parameter from 0.1 to 0.7 causes about an 8% decline in the thermal profile, while an elevation in the radiative parameter within the same range reduces it by approximately 2%. In contrast, enhancing the Peclet number from 0.1 to 0.7 increases the thermal profile by nearly 2%, and a rise in the ambient temperature within this range leads to an approximate 4% enhancement in the thermal profile. Magnetised triangular fins are observed to have higher thermal transfer ability and efficiency than non-magnetised triangular fins. It is found that the incorporation of a magnetic field into a triangular fin, in conjunction with the porosity, improves the performance and efficiency of the triangular fin. Full article
(This article belongs to the Special Issue Computational Methods in Electromagnetics)
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15 pages, 1066 KiB  
Article
Using Machine Learning to Identify Educational Predictors of Career and Job Satisfaction in Adults with Disabilities
by Beau LeBlond, Bryan R. Christ, Benjamin Ertman, Olivia Chapman, Rea Pillai and Paul B. Perrin
Disabilities 2025, 5(2), 56; https://doi.org/10.3390/disabilities5020056 - 10 Jun 2025
Viewed by 427
Abstract
Purpose: This study explored the potential long-term effects of academic-related variables, including academic satisfaction, college degree attainment, unmet academic accommodation needs, and demographic characteristics on the job and career satisfaction of adults with disabilities using modern machine learning techniques. Method: Participants [...] Read more.
Purpose: This study explored the potential long-term effects of academic-related variables, including academic satisfaction, college degree attainment, unmet academic accommodation needs, and demographic characteristics on the job and career satisfaction of adults with disabilities using modern machine learning techniques. Method: Participants (n = 409) completed an online survey assessing these constructs. All had a disability or chronic health condition, had attended school in the U.S. throughout their K-12 education, and were between 19 and 86 years of age. Results: The random forest models had 68.6% accuracy in correctly identifying job satisfaction and 72.5% accuracy in correctly identifying career satisfaction. When using mean decrease in impurity (MDI) and permutation importance to identify statistical predictors, academic satisfaction was the most important predictor of job satisfaction in both MDI and permutation importance, while unmet academic accommodations was the fourth highest predictor for MDI behind academic satisfaction, disability level, and age, but ahead of other demographic variables and college degree status, and the second highest predictor of job satisfaction in permutation importance. For career satisfaction, academic satisfaction accounted for the highest MDI, while unmet academic accommodations ranked fourth. For permutation importance, academic satisfaction ranked first, and unmet academic accommodations ranked fifth behind academic satisfaction, age, college degree status, and disability level. Discussion: Meeting the academic accommodation needs of disabled students is linked with lasting vocational success. This study underscores the associations between unmet academic accommodation needs and future job and career satisfaction, illuminated using novel machine learning techniques. To our knowledge, this is the first investigation of the potential long-term associations between unfulfilled accommodation needs and future job and career satisfaction. Full article
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18 pages, 2361 KiB  
Article
Particleboards with Various Biomass Residues
by Electra Papadopoulou, Dimitrios Moutousidis, Christos Achelonoudis, Stavros Tsompanidis, Christina Kyriakou-Tziamtzi, Konstantinos Chrissafis and Dimitrios N. Bikiaris
Materials 2025, 18(11), 2632; https://doi.org/10.3390/ma18112632 - 4 Jun 2025
Viewed by 504
Abstract
Particleboards were developed by replacing a part of wood with various biomass residues, including coffee bean husks, spent coffee grounds, thistle, Sideritis and dead leaves of Posidonia oceanica. These materials were analysed to determine their physicochemical properties like the moisture content, pH, [...] Read more.
Particleboards were developed by replacing a part of wood with various biomass residues, including coffee bean husks, spent coffee grounds, thistle, Sideritis and dead leaves of Posidonia oceanica. These materials were analysed to determine their physicochemical properties like the moisture content, pH, and buffer capacity, using standard laboratory techniques, while thermogravimetric analysis (TGA), Fourier-transform infrared spectroscopy (FTIR), and X-ray diffraction (XRD) were also used for their further characterisation. The results revealed that all biomasses contained cellulose, hemicellulose, and lignin in varying proportions, along with differing degrees of crystallinity. To produce particleboards, the biomasses were bonded using two types of adhesives: (a) conventional urea-formaldehyde resin (UF) and (b) polymeric 4,4′-methylene diphenyl isocyanate (pMDI). Laboratory-scale, single-layer particleboards were manufactured simulating industrial production practices. These panels were evaluated for their mechanical and physical properties according to European standards. The findings showed a general reduction in mechanical performance when compared to conventional wood-based panels. However, panels made with coffee grounds and Posidonia showed improved resistance to thickness swelling after 24 h in water at 20 °C. Additionally, all experimental panels exhibited lower formaldehyde content than wood-based reference panels. This study demonstrated the feasibility of upcycling biomass residues as a sustainable alternative to virgin wood in the production of particleboard, providing a resource-efficient solution for specific interior applications within a circular economy framework. Full article
(This article belongs to the Special Issue Modern Wood-Based Materials for Sustainable Building)
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22 pages, 7036 KiB  
Article
Clustering Method for Edge and Inner Buildings Based on DGI Model and Graph Traversal
by Hesheng Huang and Yijun Zhang
ISPRS Int. J. Geo-Inf. 2025, 14(6), 222; https://doi.org/10.3390/ijgi14060222 - 3 Jun 2025
Viewed by 345
Abstract
Accurate clustering of buildings is a prerequisite for map generalization in densely populated urban data. Edge buildings at the edge of building groups, identified through human-eye recognition, may serve as boundary constraints for clustering. This paper proposes the use of seven Gestalt factors [...] Read more.
Accurate clustering of buildings is a prerequisite for map generalization in densely populated urban data. Edge buildings at the edge of building groups, identified through human-eye recognition, may serve as boundary constraints for clustering. This paper proposes the use of seven Gestalt factors to distinguish edge buildings from other buildings. Employing the DGI model to produce high-quality node embeddings, optimize the mutual information between the local node representation and the global summary vector. We then conduct training to identify edge buildings in the two test datasets using eight feature combinations. This research introduces a modified distance metric called the ‘m_dis’ feature, which is used to describe the closeness between two adjacent buildings. Finally, the clusters of edge and inner buildings are determined through a constrained graph traversal that is based on the ‘m_dis’ feature. This method is capable of effectively identifying and distinguishing densely distributed building groups in Chengdu City, China, as demonstrated by experimental results. It offers novel concepts for edge building recognition in dense urban areas, confirms the significance of the LOF factor and the ‘m_dis’ feature, and achieves superior clustering results in comparison to other methods. Additionally, this semi-supervised clustering method (DGI-EIC) has the potential to achieve an ARI index of approximately 0.5. Full article
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13 pages, 1426 KiB  
Article
Glycometabolic Control Does Not Affect Sexual Function in a Cohort of Women with Type 1 Diabetes: Results of an Observational Pilot Study
by Cristian Petolicchio, Giordano Spacco, Eliana Delle Chiaie, Maria Grazia Calevo, Nicola Minuto, Davide Carlo Maggi, Diego Ferone, Marta Bassi and Francesco Cocchiara
Endocrines 2025, 6(2), 25; https://doi.org/10.3390/endocrines6020025 - 3 Jun 2025
Viewed by 351
Abstract
Background/Objectives: The association between sexual dysfunction and diabetes is well known, but few studies have investigated its prevalence in type 1 diabetes (T1D). The aim of this study was to evaluate the prevalence of sexual dysfunction in a group of women with [...] Read more.
Background/Objectives: The association between sexual dysfunction and diabetes is well known, but few studies have investigated its prevalence in type 1 diabetes (T1D). The aim of this study was to evaluate the prevalence of sexual dysfunction in a group of women with T1D, regardless of their age, and to compare its different prevalences in women treated with different insulin regimens. Methods: The population included 77 women affected by T1D, of which 16 were on Multiple Daily Injections (MDI) and 61 on Continuous Subcutaneous Insulin Infusion (45 on Advanced Hybrid Closed Loop System with catheter and 16 on patch pump). All participants completed the Female Sexual Function Index (FSFI), a questionnaire that evaluates several aspects of sexual function. Another questionnaire that evaluated general features, diabetes-specific features and sexual-specific features was proposed to every participant. Results: The overall prevalence of female sexual dysfunction was 49.3%. A correlation was demonstrated between the prevalence of female sexual dysfunction and age; another correlation was found between the prevalence of female sexual dysfunction and dyadic status. No correlation between glycemic control and sexual dysfunction was found. Conclusions: Women with T1D presented a high prevalence of sexual dysfunction, independently from glycometabolic disease control and insulin regimens; on the other hand, a significant correlation was demonstrated with age and dyadic status. Evaluation of sexual function in women with T1D appears to be important in clinical settings independently from disease control. Full article
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27 pages, 3100 KiB  
Article
Harmonizing Sunspot Datasets Consistency: Focusing on SOHO/MDI and SDO/HMI Data
by Barbara Góra-Gálik, Emese Forgács-Dajka and Istvan Ballai
Universe 2025, 11(6), 176; https://doi.org/10.3390/universe11060176 - 31 May 2025
Viewed by 1768
Abstract
To ensure the long-term consistency of sunspot group data, it is essential to harmonize measurements from SOHO/MDI and SDO/HMI, two major solar observatories with overlapping coverage. In our analysis, we use two complementary sets of data: SOHO/MDI–Debrecen Sunspot Data (SDD) and SDO/HMI–Debrecen Sunspot [...] Read more.
To ensure the long-term consistency of sunspot group data, it is essential to harmonize measurements from SOHO/MDI and SDO/HMI, two major solar observatories with overlapping coverage. In our analysis, we use two complementary sets of data: SOHO/MDI–Debrecen Sunspot Data (SDD) and SDO/HMI–Debrecen Sunspot Data (HMIDD). Our objective is to identify systematic differences between their recorded parameters and to assess whether their data can be combined into a coherent time series. While the overlap between the datasets spans only about one year, this period allows for a direct statistical comparison without the need for additional image processing. Though the two instruments do not measure identical area values, our results reveal a strong linear relationship between them, which is in line with earlier studies. On the other hand, a systematic discrepancy in their magnetic field strength measurements was observed. Contrary to previous findings, SDO/HMI magnetic field values tend to be higher than those from SOHO/MDI. These differences may arise from the use of different calibration procedures and measurement techniques, or from the physical characteristics of the sunspot groups themselves. These results highlight the challenges involved in unifying data from multiple solar instruments that have been captured over extended time periods. While broad consistencies are observable, the differences between sunspot groups and measurement parameters demonstrate the importance of using careful, instrument-aware calibration approaches when combining such datasets. Full article
(This article belongs to the Special Issue Solar and Stellar Activity: Exploring the Cosmic Nexus)
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21 pages, 3874 KiB  
Article
An Attempted Correlation Between the Fecal Microbial Community of Chinese Forest Musk Deer (Moschus berezovskii) and Differences in Musk Production and Quality
by Tingting Zheng, Qian Liu, Chengli Zheng, Xiuxiang Meng, Xue Bai, Diyan Li, Tao Wang, Jun Guo, Zhongxian Xu and Hang Jie
Animals 2025, 15(11), 1622; https://doi.org/10.3390/ani15111622 - 31 May 2025
Viewed by 524
Abstract
Musk, a dried secretion from the sac gland near the urethral foramen of adult male forest musk deer (Moschus berezovskii), has significant economic value and is extensively utilized as a valuable component in traditional Chinese medicine. In the practice of forest [...] Read more.
Musk, a dried secretion from the sac gland near the urethral foramen of adult male forest musk deer (Moschus berezovskii), has significant economic value and is extensively utilized as a valuable component in traditional Chinese medicine. In the practice of forest musk deer breeding, musk with different colors and varying moisture contents is observed during the season when the musk reaches maturity. For many years, researchers have focused mainly on musk composition and symbiotic bacteria. However, the influence of fecal fungi on the production and quality of musk is unknown. In this study, internal transcribed spacer (ITS) analysis was employed to explore the relationships between the fungal composition of musk deer fecal and the quality and production of musk produced by each individual. The results indicate that fungal genera known to cause diseases, such as Colletotrichum and Apiotrichum, are prevalent in the feces of musk deer that produce abnormal musk. Furthermore, the fecal microbiota health index (GMHI) is lower and the intestinal microbiota dysbiosis index (MDI) is greater in musk deer producing white musk than in normal individuals. Additionally, by correlating musk production with fecal fungi, we also found that Dolichousnea and Scolecoleotia were significantly positively correlated with musk production. Moreover, Metschnikowia, Ganodermataceae_gen_Incertae_sedis, Hypoxylon, Neovaginatispora, Didymella, Dothidea, and Trichoderma were negatively correlated with musk production. This study is the first to investigate gut fungi in relation to musk production/quality, establish gut health and fungal dysbiosis links, and identify candidate fungi tightly associated with musk traits. This exploratory approach is critical for exploring uncharted territories like gut fungi in musk deer and musk traits. Full article
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14 pages, 6773 KiB  
Article
Preparation and Characterization of a Novel Eco-Friendly Acorn-Based Wood Adhesive with High Performance
by Liu Yang, Manli Xing, Xiaobo Xue, Xi Jin, Yujie Wang, Fei Xiao, Cheng Li and Fei Wang
Forests 2025, 16(5), 853; https://doi.org/10.3390/f16050853 - 20 May 2025
Viewed by 561
Abstract
With the concept of sustainable development gaining increasing traction, the high-value utilization of forest biomass has received growing attention. In this study, an acorn-based wood adhesive was developed using Quercus fagaceae, offering a sustainable alternative that not only supports the multifunctional use [...] Read more.
With the concept of sustainable development gaining increasing traction, the high-value utilization of forest biomass has received growing attention. In this study, an acorn-based wood adhesive was developed using Quercus fagaceae, offering a sustainable alternative that not only supports the multifunctional use of acorn shell resources, but also reduces dependence on fossil-based materials in traditional wood adhesives, a development of significant importance to the wood industry. The effects of various crosslinking agents and phenolic resin (PF) additions on the performance of the acorn-based adhesive (AS) were investigated. Among the crosslinking agents tested, isocyanate (MDI), epoxy resin E51, and trimethylolpropane diglycidyl ether (TTE), PF demonstrated the best bonding performance. The modified AS adhesive with a 30% PF addition showed the highest bonding strength (0.93 MPa) and superior water resistance. These improvements are attributed to the formation of a stable, multi-dimensional crosslinked network structure resulting from the interaction between gelatinized starch molecules and PF resin. Moreover, the AS-PF adhesive exhibited a remarkably low formaldehyde emission of 0.14 mg/L, representing a 90.67% reduction compared to the national E1 standard. The incorporation of PF also enhanced the adhesive’s mildew resistance and toughness. These findings highlight the potential of acorn-based adhesives as a sustainable alternative for applications in the wood and bamboo industries. Full article
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14 pages, 2074 KiB  
Article
Environmental and Social Factors Associated with the Occurrence of Severe Tungiasis and Scabies in the State of Ceará, Brazil: An Ecological Study
by Nathiel Silva, Carlos Henrique Alencar and Jorg Heukelbach
Trop. Med. Infect. Dis. 2025, 10(5), 135; https://doi.org/10.3390/tropicalmed10050135 - 16 May 2025
Viewed by 469
Abstract
Scabies and tungiasis are skin-related neglected tropical diseases (NTDs) associated with poverty and poor living conditions. We performed an ecological study covering a state in northeast Brazil to identify socio-economic and environmental factors associated with the occurrence of severe scabies and severe tungiasis, [...] Read more.
Scabies and tungiasis are skin-related neglected tropical diseases (NTDs) associated with poverty and poor living conditions. We performed an ecological study covering a state in northeast Brazil to identify socio-economic and environmental factors associated with the occurrence of severe scabies and severe tungiasis, respectively. Data on disease occurrence on the municipality level were derived from a previous study based on online questionnaires. A total of 47 (26.0%) of the 181 state’s municipalities reported severe tungiasis, and 113 (62.4%) severe scabies. Municipalities with occurrence of severe tungiasis were characterized by higher annual rainfalls (median = 883 mm vs. 741 mm; p = 0.037), higher minimum temperatures (median = 23.4 °C vs. 22.7 °C; p = 0.002), higher aridity indices indicating more humid climates (median = 45.1 vs. 50.6; p = 0.019), lower altitudes (median = 88.8 m vs. 201 m; p < 0.001), higher mean air humidity (66.5% vs. 63%; p = 0.018), and better socioeconomic indices (Municipal Human Development Index [MHDI]—median = 0.616 vs. 0.611; p = 0.048/MHDI Longevity—mean = 0.769 vs. 0.759; p = 0.007/Municipal Development Index [MDI]—median = 27.5 vs. 21.8; p < 0.001). Municipalities with predominant luvisol soil characteristics had a lower risk for severe tungiasis (RR = 0.46; 95% CI = 0.27–0.79; p = 0.003), whereas municipalities with predominant gleysols had a significantly higher risk (RR = 2.44; 95% CI = 1.43–4.15; p = 0.010). Municipalities with occurrence of severe scabies were characterized by significantly higher annual rainfalls (median = 804 mm vs. 708 mm; p = 0.001), higher minimum temperatures (23.1 °C vs. 22.3 °C; p < 0.001), higher aridity index (median = 48.2 vs. 41.9; p = 0.014), higher air humidity (65.9% vs. 61%; p = 0.001), lower altitudes (median = 153 m vs. 246 m; p = 0.003), and better socio-economic indicators (MHDI—median = 0.616 vs. 608; p= 0.012/MHDI Education—mean = 0.559 vs. 0.541; p = 0.014/MDI—median = 24.3 vs. 21.1; p = 0.005). In multivariate regression analysis, MDI remained significantly associated with the presence of severe tungiasis in the final model (RR = 1.04; 95% CI: 1.02–1.05; p < 0.001) and the presence of severe scabies with minimum temperature (RR = 1.13; 95% CI: 1.04–1.24; p = 0.003) and aridity index (RR = 1.01; 95% CI: 1.00–1.01; p = 0.004). Our study underscores the importance of environmental and socioeconomic factors for the occurrence of severe scabies and tungiasis in a semi-arid climatic context, offering a perspective for identification of high-risk areas, and providing evidence for the control of skin NTDs withina One Health approach. Full article
(This article belongs to the Section Neglected and Emerging Tropical Diseases)
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