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This study assessed whether COVID-19 pandemic experiences were associated with excessive alcohol use during the first year of the pandemic in Iowa, a heavy-drinking midwestern US state. We analyzed survey data from 4047 adult residents of Iowa collected in August 2020, focusing on three pandemic-related stressors (e.g., emotional reactions to the pandemic; disruption of daily activities; and financial hardship) and salient social support. Using multiple logistic regression, we tested correlates of increased drinking, heavy drinking, and binge drinking, controlling for demographic characteristics and health status. We found that nearly half (47.6%) of respondents did not change their drinking compared to before the pandemic; however, 12.4% of respondents reported increasing their drinking and 5.3% reported decreasing their drinking. Emotional reactions to the pandemic and disruption of daily activities were associated with higher odds of increased drinking, and rurality was associated with lower odds of increased drinking. No pandemic-related stressor was associated with heavy or binge drinking, but social support was associated with lower odds of binge drinking. Thus, we concluded that some pandemic-related stressors may explain increased drinking but not heavy or binge drinking. Understanding the nuances of alcohol use can inform preventive interventions, policy decisions, and preparations for future catastrophic events. Full article

(This article belongs to the Section Behavioral and Mental Health)

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15 pages, 5141 KiB

Open AccessArticle

Efficient Copper Biosorption by Rossellomorea sp. ZC255: Strain Characterization, Kinetic–Equilibrium Analysis, and Genomic Perspectives

by Hao-Tong Han, Han-Sheng Zhu, Jin-Tao Zhang, Xin-Yun Tan, Yan-Xin Wu, Chang Liu, Xin-Yu Liu and Meng-Qi Ye

Microorganisms 2025, 13(8), 1839; https://doi.org/10.3390/microorganisms13081839 (registering DOI) - 7 Aug 2025

Abstract

Heavy metal pollution, particularly copper contamination, threatens the ecological environment and human survival. In response to this pressing environmental issue, the development of innovative remediation strategies has become imperative. Bioremediation technology is characterized by remarkable advantages, including its ecological friendliness, cost-effectiveness, and operational efficiency. In our previous research, Rossellomorea sp. ZC255 demonstrated substantial potential for environmental bioremediation applications. This study investigated the removal characteristics and underlying mechanism of strain ZC255 and revealed that the maximum removal capacity was 253.4 mg/g biomass under the optimal conditions (pH 7.0, 28 °C, and 2% inoculum). The assessment of the biosorption process followed pseudo-second-order kinetics, while the adsorption isotherm may fit well with both the Langmuir and Freundlich models. Cell surface alterations on the Cu(II)-treated biomass were observed through scanning electron microscopy (SEM). Cu(II) binding functional groups were determined via Fourier transform infrared spectroscopy (FTIR) analysis. Simultaneously, the genomic analysis of strain ZC255 identified multiple genes potentially involved in heavy metal resistance, transport, and metabolic processes. These studies highlight the significance of strain ZC255 in the context of environmental heavy metal bioremediation research and provide a basis for using strain ZC255 as a copper removal biosorbent. Full article

(This article belongs to the Section Environmental Microbiology)

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16 pages, 875 KiB

Open AccessArticle

Profile of Selected MicroRNAs as Markers of Sex-Specific Anti-S/RBD Response to COVID-19 mRNA Vaccine in Health Care Workers

by Simona Anticoli, Maria Dorrucci, Elisabetta Iessi, Salvatore Zaffina, Rita Carsetti, Nicoletta Vonesch, Paola Tomao and Anna Ruggieri

Int. J. Mol. Sci. 2025, 26(15), 7636; https://doi.org/10.3390/ijms26157636 (registering DOI) - 7 Aug 2025

Abstract

Sex-based immunological differences significantly influence the outcome of vaccination, yet the molecular mediators underpinning these differences remain largely elusive. MicroRNAs (miRNAs), key post-transcriptional regulators of gene expression, have emerged as critical modulators of innate and adaptive immune responses. In this study, we investigated the expression profile of selected circulating miRNAs as potential biomarkers of sex-specific humoral responses to the mRNA COVID-19 vaccine in a cohort of health care workers. Plasma samples were collected longitudinally at a defined time point (average 71 days) post-vaccination and analyzed using RT-qPCR to quantify a panel of immune-relevant miRNAs. Anti-spike (anti-S) IgG titers were measured by chemiluminescent immunoassays. Our results revealed sex-dependent differences in miRNA expression dynamics, with miR-221-3p and miR-148a-3p significantly overexpressed in vaccinated female HCWs and miR-155-5p overexpressed in vaccinated males. MiR-148a-3p showed a significant association with anti-S/RBD (RBD: receptor binding domain) IgG levels in a sex-specific manner. Bioinformatic analysis for miRNA targets indicated distinct regulatory networks and pathways involved in innate and adaptive immune responses, potentially underlying the differential immune activation observed between males and females. These findings support the utility of circulating miRNAs as minimally invasive biomarkers for monitoring and predicting sex-specific vaccine-induced immune responses and provide mechanistic insights that may inform tailored vaccination strategies. Full article

(This article belongs to the Special Issue Molecular Research on Immune Response to Virus Infection and Vaccines)

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21 pages, 3287 KiB

Open AccessArticle

Experimental and Quantum Mechanical Studies of Efficient Re(VII)/Mo(VI) Separation by a Magnetic Amino-Functionalized Polymer

by Bojana Marković, Goran Janjić, Antonije Onjia, Tamara Tadić, Plamen Stefanov and Aleksandra Nastasović

Separations 2025, 12(8), 206; https://doi.org/10.3390/separations12080206 (registering DOI) - 7 Aug 2025

Abstract

A previously synthesized and functionalized magnetic glycidyl methacrylate-based nanocomposite, mPGMT-deta, was tested as a sorbent for Re(VII) oxoanions in Mo(VI)-containing solutions. The effect of pH on the removal efficiency and the separation factor was examined in the range of 2 to 9. A maximum separation factor (β_Re/Mo) of 8.85 was observed at pH 6. The nature of rhenium oxoanions binding to the active sites of mPGMT-deta was analyzed using density functional theory (DFT). The calculations indicated that the formation of MoO₄²⁻//hedetaH₂²⁺ adduct is electrostatically favored at pH 6, while the inclusion of solvation effects makes the formation of ReO₄⁻//hedetaH₂²⁺ adduct thermodynamically more favorable. Solvation played a dominant role in determining the selectivity of oxoanion sorption to the nanocomposite. The adsorption isotherm, kinetics, and thermodynamics of Re(VII) onto mPGMT-deta were determined. The equilibrium data were best-fitted using the Langmuir adsorption model (R² = 0.999), with a maximum sorption capacity for Re(VII) of 0.43 mmol/g. The uptake kinetics of the sorption process obeyed the pseudo-second-order model, with the influence of diffusion and external mass transfer. Based on the thermodynamic parameters, Re(VII) sorption was spontaneous and endothermic. Full article

(This article belongs to the Special Issue New and Modified Polymers for Detection and Removal of Pollutants from Water and Air)

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16 pages, 317 KiB

Open AccessArticle

Physicochemical and Microbiological Properties of Hazelnuts from Three Varieties Cultivated in Portugal

by Ana Cristina Ferrão, Raquel P. F. Guiné, Marco Silva, Arminda Lopes and Paula M. R. Correia

Crops 2025, 5(4), 53; https://doi.org/10.3390/crops5040053 (registering DOI) - 7 Aug 2025

Abstract

Hazelnut is an important crop worldwide, and the characteristics of the fruits are quite variable according to a number of factors, including variety and cultivation conditions, which in turn can vary according to harvest year. This study aimed to investigate some physical and chemical characteristics of three hazelnut varieties grown in Portugal (Grada de Viseu, Tonda di Giffoni and Butler) along two different harvesting years (2021 and 2022). Also, the microbial quality was investigated for its relevance to the conservation of the fruits. The physical properties evaluated were biometric characteristics and colour, the chemical components analysed were moisture, lipids, protein, ash and fibre, and the microbial properties investigated were the microorganisms, moulds and yeasts. The results showed that, generically, statistically significant differences were found between the three varieties under study on several properties investigated. The kernel was confirmed as the lighter part of all hazelnuts, and when comparing between varieties, Tonda di Giffoni presented the lighter fruits in both harvesting years. With respect to weight, the Tonda di Giffoni variety was the lightest in both harvest years. Moisture content was observed to be higher than the recommended limits for two of the samples (Grada de Viseu in 2021: 6.01 ± 0.26 g/100 g and Butler in 2022: 6.02 ± 0.37 g/100 g), although the difference was marginal given that the recommended limit is 6%. Not surprisingly, lipids were the major chemical component, ranging from 66.46 ± 1.67 to 70.14 ± 1.75 g/100 g in 2021 and from 64.38 ± 1.67 to 77.77 g/100 g in 2022. It was further observed that the three varieties presented a satisfactory microbiological quality. Finally, applying factor analysis with principal components and Varimax rotation, a solution that explains 92.8% of the variance was obtained. This study provided information that is relevant for the characterisation and evaluation of variability according to the year of hazelnuts of three varieties cultivated in Portugal. Full article

13 pages, 1941 KiB

Open AccessArticle

When Two Worlds Collide: The Contribution and Association Between Genetics (APOEε4) and Neuroinflammation (IL-1β) in Alzheimer’s Neuropathogenesis

by Jagadeesh Narasimhappagari, Ling Liu, Meenakshisundaram Balasubramaniam, Srinivas Ayyadevara and W. Sue T. Griffin

Cells 2025, 14(15), 1216; https://doi.org/10.3390/cells14151216 (registering DOI) - 7 Aug 2025

Abstract

Introduction: Here we consider the collision of a genetic factor and an essential instigator in Alzheimer’s neuropathogenesis: (i) the Alzheimer’s gene (APOEε4), which downregulates lysosomal autophagy and induces synthesis of (ii) the instigator, interleukin-1β (IL-1β), which drives synthesis of βAPP for Aβ plaques and of MAPKp38 for phosphorylation of tau for formation of neurofibrillary tangles (NFTs), the two cardinal features of AD. Methods: RT-PCR, immunoblotting and immunohistochemistry techniques were used to assess the levels of IL-1β and its signaling cascade in ADε4,4, ε3,3, and age-matched controls (AMC3,3) in hippocampal regions of the brain. Results: IL-1β and its downstream signaling proteins TLR-2, MyD88, NFκB, COX-1, and COX-2 were greater in tissues from ADε4,4 than ADε3,3 or AMC3,3. Cathepsin B, D, and L levels, which play a pivotal role and are necessary for lysosomal autophagy, were lower in ADε4,4 than in ADε3,3 or AMC ε3,3. IL-1β and its downstream signaling cascade TLR-2, MyD88, NFκB, COX-1, and COX-2 expression levels were high in SH-SY5Y and T98G cells transfected with APOεE4. Conclusions: APOEε4 causes Alzheimer’s by downregulating autophagy, thus inducing IL-1β for Aβ plaque and neurofibrillary tangle formation. Full article

(This article belongs to the Special Issue Advanced Research in Neurogenesis and Neuroinflammation)

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25 pages, 2547 KiB

Open AccessArticle

Mechanically Induced Pulpitis: A Rat Model That Preserves Animal Well-Being

by María Alexandra Bedoya, Gloria Cristina Moreno, Camilo Durán, Adriana Camacho, Angel Eduardo Pirela, Stefany Rojas Lozano, Maddy Mejía, Eddy Herrera, Luz-Stella Rodríguez Camacho, Lorenza Jaramillo and Nelly S. Roa

Biomedicines 2025, 13(8), 1925; https://doi.org/10.3390/biomedicines13081925 (registering DOI) - 7 Aug 2025

Abstract

Background: Understanding the mechanisms underlying dental pain caused by pulpitis in humans has led to the development of animal models, such as the rat, which enable the study of the mechanisms underlying inflammation; the use of these models is considered ethically justified when the anticipated scientific benefits outweigh the potential impacts on animals in the harm/benefit balance. Objective: To develop a rat model of mechanically induced pulpitis and to evaluate the potential impact on animal well-being. Methods: Pulpitis was mechanically induced in male Lewis rats (13–16 weeks, 350–400 g) which were anesthetized and endotracheally intubated. Following pulp exposure, the cavity was sealed with either amalgam (n = 10) or zinc phosphate cement (n = 10). Following recovery and return to their housing, behavioral assessments and histological evaluations using Hematoxylin and Eosin (H&E) staining were conducted in separate cohorts at two time points: 3 h and 5 days following the procedure. Results: A standardized model of mechanically induced pulpitis was established and verified clinically and by histopathological analysis, which showed evidence of the inflammatory process and revealed no statistically significant differences in the scoring of pain, discomfort, or distress, nor in the measurements of food and water consumption or body weight. Conclusions: The behavioral assessments conducted in this study supported the implementation of a safe and easily reproducible model for future research aimed at elucidating the mechanisms underlying pulp inflammation. Full article

(This article belongs to the Special Issue Animal Models for the Study of Human Diseases)

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Graphical abstract

19 pages, 371 KiB

Open AccessReview

Human Breast Milk as a Biological Matrix for Assessing Maternal and Environmental Exposure to Dioxins and Dioxin-like Polychlorinated Biphenyls: A Narrative Review of Determinants

by Artemisia Kokkinari, Evangelia Antoniou, Kleanthi Gourounti, Maria Dagla, Aikaterini Lykeridou, Stefanos Zervoudis, Eirini Tomara and Georgios Iatrakis

Pollutants 2025, 5(3), 25; https://doi.org/10.3390/pollutants5030025 (registering DOI) - 7 Aug 2025

Abstract

(1) Background: Dioxins and dioxin-like polychlorinated biphenyls (dl-PCBs) are persistent organic pollutants (POPs), characterized by high toxicity and strong lipophilicity, which promote their bioaccumulation in human tissues. Their detection in breast milk raises concerns about early-life exposure during lactation. Although dietary intake is the primary route of maternal exposure, environmental pathways—including inhalation, dermal absorption, and residential proximity to contaminated sites—may also significantly contribute to the maternal body burden. (2) Methods: This narrative review examined peer-reviewed studies investigating maternal and environmental determinants of dioxin and dl-PCB concentrations in human breast milk. A comprehensive literature search was conducted in PubMed, Scopus, and Web of Science (2000–2024), identifying a total of 325 records. Following eligibility screening and full-text assessment, 20 studies met the inclusion criteria. (3) Results: The included studies consistently identified key exposure determinants, such as high consumption of animal-based foods (e.g., meat, fish, dairy), living near industrial facilities or waste sites, and maternal characteristics including age, parity, and body mass index (BMI). Substantial geographic variability was observed, with higher concentrations reported in regions affected by industrial activity, military pollution, or inadequate waste management. One longitudinal study from Japan demonstrated a declining trend in dioxin levels in breast milk, suggesting the potential effectiveness of regulatory interventions. (4) Conclusions: These findings highlight that maternal exposure to dioxins is influenced by identifiable environmental and behavioral factors, which can be mitigated through public health policies, targeted dietary guidance, and environmental remediation. Breast milk remains a critical bioindicator of human exposure. Harmonized, long-term research is needed to clarify health implications and minimize contaminant transfer to infants, particularly among vulnerable populations. Full article

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17 pages, 3093 KiB

Open AccessArticle

Determination of Quantum Yield in Scattering Media Using Monte Carlo Photoluminescence Cascade Simulation and Integrating Sphere Measurements

by Philip Gelbing, Joachim Jelken, Florian Foschum and Alwin Kienle

Materials 2025, 18(15), 3710; https://doi.org/10.3390/ma18153710 (registering DOI) - 7 Aug 2025

Abstract

Accurate determination of the quantum yield (

Φ_{f}

Accurate determination of the quantum yield (

Φ_{f}

) in scattering media is essential for numerous scientific and industrial applications, but it remains challenging due to re-absorption and scattering-induced biases. In this study, we present a GPU-accelerated Monte Carlo simulation framework that solves the full fluorescence radiative transfer equation (FRTE), incorporating spectrally dependent absorption, scattering, and fluorescence cascade processes. The model accounts for re-emission shifts, energy scaling due to the Stokes shift and implements a digital optical twin of the experimental setup, including the precise description of the applied integrating sphere. Using Rhodamine 6G in both ethanol and PDMS matrices, we demonstrate the accuracy of the method by comparing simulated reflectance and transmission spectra with independent experimental measurements.

Φ_{f}

and emission distributions are optimized using a Levenberg–Marquardt algorithm. The obtained quantum yields agree well with literature values for Rhodamine 6G. This approach eliminates the need for empirical correction factors, enabling the reliable determination of actual, undistorted emission spectra and the

Φ_{f}

in complex scattering media. Full article

(This article belongs to the Special Issue Feature Papers in Materials Physics (2nd Edition))

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Graphical abstract

8 pages, 3731 KiB

Open AccessCommunication

Molecular Screening of Feline Glycogen Storage Disease Type II (Pompe Disease): Allele Frequencies of the GAA:c.1799G>A and c.55G>A Variants

by Abdullah Al Faruq, Tofazzal Md Rakib, Md Shafiqul Islam, Akira Yabuki, Shahnaj Pervin, Shinichiro Maki, Shigeki Tanaka, Nanami Arakawa and Osamu Yamato

Genes 2025, 16(8), 938; https://doi.org/10.3390/genes16080938 (registering DOI) - 7 Aug 2025

Abstract

Background/Objectives: Glycogen storage disease type II, also known as Pompe disease (PD), is a rare autosomal recessive genetic disorder triggered by a deficiency in lysosomal acid α-glucosidase (GAA). Recently, we discovered two deleterious missense variants of the GAA gene, c.1799G>A (p.Arg600His) (a pathogenic mutation) and c.55G>A (p.Val19Met), in a domestic short-haired cat with PD. This study aimed to design genotyping assays for these two variants and ascertain their allele frequencies in Japanese cat populations. Methods: We developed fluorescent probe-based real-time polymerase chain reaction assays to genotype the c.1799G>A and c.55G>A variants. A total of 738 cats, comprising 99 purebred cats from 20 breeds and 540 mixed-breed cats, were screened using these assays. Results: Genotyping assays clearly differentiated all known genotypes of the two variants. None of the 738 cats tested carried the c.1799G>A variant. However, we identified cats with c.55G/A and c.55A/A genotypes in the purebred (A allele frequency: 0.081) and mixed-breed cats (0.473). A significant difference (p < 0.001) was observed in the A allele frequency between the two groups. Conclusions: The c.1799G>A mutation appears rare in cat populations, suggesting it may be confined to specific pedigree Japanese mixed-breed cats. The c.55G>A variant was detected in purebred and mixed-breed cats, suggesting that it may not be directly linked to feline PD. However, additional studies are required to elucidate the precise relationship between this variant and cardiac function. Genotyping assays will serve as valuable tools for diagnosing and genotyping feline PD. Full article

(This article belongs to the Special Issue Hereditary Traits and Diseases in Companion Animals)

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15 pages, 2161 KiB

Open AccessArticle

Preparation of PLLA and PLGA Copolymers with Poly(ethylene adipate) Through Reactive Melt Mixing: Structural Characterization, Thermal Properties, and Molecular Mobility Insights

by Evi Christodoulou, Christina Samiotaki, Alexandra Zamboulis, Rizos Evangelos Bikiaris, Panagiotis A. Klonos, Apostolos Kyritsis and Dimitrios N. Bikiaris

Macromol 2025, 5(3), 35; https://doi.org/10.3390/macromol5030035 - 7 Aug 2025

Abstract

In this study, a series of copolymers was synthesized using the promising biodegradable polymers Poly(L-lactic acid) (PLLA), Poly(lactic-co-glycolic acid) (PLGA), and Poly(ethylene adipate) (PEAd), known for their high potential. PEAd was synthesized through a two-step melt polycondensation process and then used to prepare copolymers with PLLA (PLLA-co-PEAd) and PLGA (PLGA-co-PEAd) at weight ratios of 90/10 and 75/25, respectively. The synthesized materials, along with the starting polymers, were extensively characterized for their structure, molecular weight, crystallinity, and thermal behavior. These novel systems exhibit single thermal transitions, e.g., glass transition. The incorporation of PEAd into the copolymers induced a plasticizing effect, evidenced by a consistent decrease in the glass transition temperature. Due to the latter effect in combination with the M_w drop, the facilitation of crystal nucleation was observed. Finally, the results by dielectric spectroscopy on the local and segmental molecular mobility provided additional proof for the homogeneity of the systems, as manifested, e.g., by the recording of single segmental relaxation processes. Overall, the findings indicate that the PLLA-co-PEAd and PLGA-co-PEAd copolymers hold significant potential, and the use of complementary experimental techniques offers valuable insights and indirect indications of their properties. Full article

(This article belongs to the Collection Advances in Biodegradable Polymers)

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15 pages, 2953 KiB

Open AccessArticle

More than Just Figures: Structural and Visual Complexity in Soil Science Articles

by Agnieszka Wnuk and Dariusz Gozdowski

Appl. Sci. 2025, 15(15), 8724; https://doi.org/10.3390/app15158724 (registering DOI) - 7 Aug 2025

Abstract

The structure of a scientific article is crucial for clearly conveying research findings. Modern scientific publications combine text with various elements—such as tables, graphs, images, diagrams, and maps—that support the narrative and aid data interpretation. Understanding how these components influence a publication’s reception and scientific impact is essential. This study analyzes differences among 15 soil science journals (indexed in the Web of Science) in terms of visual elements, tables, number of authors, and article length. The journals had a 5-year Impact Factor (2023) ranging from 0.9 (Soil and Environment) to 10.4 (Soil Biology and Biochemistry). The Kruskal–Wallis test and Bonferroni-adjusted Dunn’s post hoc tests revealed statistically significant differences across all variables (p < 0.05). The relationships were further assessed using Pearson’s correlation, based on the median number of authors and article length, as well as the percentage of articles that include at least one element of a given type (e.g., table, graph, image, diagram, or map). Key findings show that journals with a higher impact factor tend to publish articles with more authors (r = 0.62, p = 0.014), use diagrams more frequently (r = 0.69, p = 0.004), and include fewer tables (r = –0.85, p < 0.001). These results suggest that journals with a higher 5-year IF tend to include articles with a greater number of authors and a higher frequency of diagram use, while relying less on tables. Full article

(This article belongs to the Section Agricultural Science and Technology)

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15 pages, 1253 KiB

Open AccessArticle

Effect of Modification Methods on Composition and Technological Properties of Sea Buckthorn (Hippophae rhamnoides L.) Pomace

by Gabrielė Kaminskytė, Jolita Jagelavičiūtė, Loreta Bašinskienė, Michail Syrpas and Dalia Čižeikienė

Appl. Sci. 2025, 15(15), 8722; https://doi.org/10.3390/app15158722 (registering DOI) - 7 Aug 2025

Abstract

With the growth of the plant-based food sector, increasing amounts of by-products are generated. Sea buckthorn pomace (SBP), a by-product of juice and other manufacturing products, is rich in bioactive compounds such as phenolics, oligosaccharides, proteins, and dietary fiber. The aim of the study was to evaluate the impact of modification methods, such as enzymatic hydrolysis and supercritical carbon dioxide extraction (SFE-CO₂), on the chemical composition and technological properties of SBP. SBP and SBP obtained after SFE-CO₂ (SBP-CO₂) were enzymatically modified using Pectinex^® Ultra Tropical, Viscozyme^® L, and Celluclast^® 1.5 L (Novozyme A/S, Bagsværd, Denmark). The SBP’s main constituent was insoluble dietary fiber (IDF), followed by crude proteins and lipids (respectively, 58.7, 21.1 and 12.6 g/100 in d.m.). SFE-CO₂ reduced the lipid content (by 85.7%) in the pomace while increasing protein and TDF content. Enzymatic hydrolysis decreased the content of both soluble dietary fiber (SDF) and IDF, and increased the content of mono- and oligosaccharides as well as free phenolics, depending on the commercial enzyme preparation used in SBP and SBP-CO₂ samples. Celluclast^® 1.5 L was the most effective in hydrolyzing IDF, while Viscozyme^® L and Pectinex^® Ultra Tropical were the most effective in degrading SDF. Enzymatic treatment improved water swelling capacity, water retention capacity, water solubility index, oil retention capacity of SBP and SBP-CO₂; however, it did not have a significant effect on the stability of the emulsions. Modification of SBP by SFE-CO₂ effectively increased WSC and WSI, however it reduced WRC. These findings highlight the potential of targeted modifications to enhance the nutritional and technological properties of SBP for functional food applications. Full article

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17 pages, 780 KiB

Open AccessReview

Progress in the Study of Plant Nitrogen and Potassium Nutrition and Their Interaction Mechanisms

by Weiyu Cao, Hai Sun, Cai Shao, Yue Wang, Jiapeng Zhu, Hongjie Long, Xiaomeng Geng and Yayu Zhang

Horticulturae 2025, 11(8), 930; https://doi.org/10.3390/horticulturae11080930 (registering DOI) - 7 Aug 2025

Abstract

Nitrogen (N) and potassium (K) are essential macronutrients for plants whose functions and interactions profoundly influence plant physiological metabolism, environmental adaptation, and agricultural production efficiency. This review summarizes research advances in plant N and K nutrition and their interaction mechanisms, elucidating the key physiological functions of N and K individually and their respective absorption and transport mechanisms involving transporters such as NRTs and HAKs/KUPs. The review discusses the types of nutrient interactions (synergism and antagonism), with a primary focus on the physiological basis of N–K interactions and their interplay in root absorption and transport (e.g., K⁺-NO₃⁻ co-transport; NH₄⁺ inhibition of K⁺ uptake), photosynthesis (jointly optimizing CO₂ conductance, mesophyll conductance, and N allocation within photosynthetic machinery to enhance photosynthetic N use efficiency, PNUE), as well as sensing, signaling, co-regulation, and metabolism. This review emphasizes that N–K balance is crucial for improving crop yield and quality, enhancing fertilizer use efficiency (NUE/KUE), and reducing environmental pollution. Consequently, developing effective N–K management strategies based on these interaction mechanisms and implementing Balanced Fertilization Techniques (BFT) to optimize N–K ratios and application strategies in agricultural production represent vital pathways for ensuring food security, addressing resource constraints, and advancing green, low-carbon agriculture, including through coordinated management of greenhouse gas emissions. Full article

(This article belongs to the Section Plant Nutrition)

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60 pages, 8707 KiB

Open AccessReview

Automation in Construction (2000–2023): Science Mapping and Visualization of Journal Publications

by Mohamed Marzouk, Abdulrahman A. Bin Mahmoud, Khalid S. Al-Gahtani and Kareem Adel

Buildings 2025, 15(15), 2789; https://doi.org/10.3390/buildings15152789 - 7 Aug 2025

Abstract

This paper presents a scientometric review that provides a quantitative perspective on the evolution of Automation in Construction Journal (AICJ) research, emphasizing its developmental paths and emerging trends. The study aims to analyze the journal’s growth and citation impact over time. It also seeks to identify the most influential publications and the cooperation patterns among key contributors. Furthermore, the study explores the journal’s primary research themes and their evolution. Accordingly, 4084 articles were identified using the Web of Science (WoS) database and subjected to a multistep analysis using VOsviewer version 1.6.18 and Biblioshiny as software tools. First, the growth and citation of the publications over time are inspected and evaluated, in addition to ranking the most influential documents. Second, the co-authorship analysis method is applied to visualize the cooperation patterns between countries, organizations, and authors. Finally, the publications are analyzed using keyword co-occurrence and keyword thematic evolution analyses, revealing five major research clusters: (i) foundational optimization, (ii) deep learning and computer vision, (iii) building information modeling, (iv) 3D printing and robotics, and (v) machine learning. Additionally, the analysis reveals significant growth in publications (54.5%) and citations (78.0%) from 2018 to 2023, indicating the journal’s increasing global influence. This period also highlights the accelerated adoption of digitalization (e.g., BIM, computational design), increased integration of AI and machine learning for automation and predictive analytics, and rapid growth of robotics and 3D printing, driving sustainable and innovative construction practices. The paper’s findings can help readers and researchers gain a thorough understanding of the AICJ’s published work, aid research groups in planning and optimizing their research efforts, and inform editorial boards on the most promising areas in the existing body of knowledge for further investigation and development. Full article

(This article belongs to the Topic Construction Project Management and Infrastructure Sustainability)

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