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23 pages, 1871 KB  
Article
Roles of Cultivar, Light and Carbohydrates in Rooting of Cuttings of Hydrangea macrophylla
by Uwe Druege and Sindy Chamas
Plants 2026, 15(6), 968; https://doi.org/10.3390/plants15060968 - 20 Mar 2026
Abstract
The roles of light and carbohydrates in adventitious root formation of Hydrangea macrophylla cuttings of the cultivars ‘Caipirinha’ and ‘Clarissa’ were investigated. Cuttings were planted immediately or dark-stored for seven days prior to cultivation under light. The leaf and rooting phenotype, relative chlorophyll [...] Read more.
The roles of light and carbohydrates in adventitious root formation of Hydrangea macrophylla cuttings of the cultivars ‘Caipirinha’ and ‘Clarissa’ were investigated. Cuttings were planted immediately or dark-stored for seven days prior to cultivation under light. The leaf and rooting phenotype, relative chlorophyll content, carbohydrate levels in different cutting sections and rooting response to hexose were analyzed. Surprisingly, pronounced leaf yellowing and reddening and a strong hexose accumulation in the cutting leaves indicated that the hydrangea cuttings experienced light stress under a photosynthetic photon flux density (PPFD) of 100 µmol m−2 s−1. Reduction in PPFD to 50 µmol m−2 s−1 decreased these symptoms and increased chlorophyll content, but impaired rooting. The effects of dark storage depended on cultivar, PPFD, and hydration of cuttings. ‘Clarissa’ exhibited lower rooting success, particularly after dark storage and low light, and showed lower hexose-to-sucrose ratios and hexose concentrations in the stem base than ‘Caipirinha’. Rooting of ‘Clarissa’ could not be rescued by sugar supplementation, whereas application of 27 mM glucose plus 30 mM fructose for 24 h before planting enhanced rooting of ‘Caipirinha’. The lower hexose level in the stem base of ‘Clarissa’ does not appear to be the critical factor underlying its low rooting capacity. Full article
(This article belongs to the Section Horticultural Science and Ornamental Plants)
27 pages, 7495 KB  
Article
Comparative Stability and Quality Assessment of Powder–Liquid Double-Chamber Bag Versus Traditional Meropenem Infusions: Implications for Critical Care and Individualized Dosing
by Xiaokai Ren, Xiao Li, Liting Zhang, Xiaofei Zhao, Lei Zhang and Zhanjun Dong
Pharmaceutics 2026, 18(3), 382; https://doi.org/10.3390/pharmaceutics18030382 - 20 Mar 2026
Abstract
Background: Maintaining therapeutic meropenem plasma concentrations requires prolonged infusion, but stability concerns exist between preparation and administration. This study compared the stability and operability of ready-to-use powder–liquid double-chamber bag (DCB) infusions versus traditional powder-for-injection (PFI) meropenem under clinical conditions. Methods: Infusions [...] Read more.
Background: Maintaining therapeutic meropenem plasma concentrations requires prolonged infusion, but stability concerns exist between preparation and administration. This study compared the stability and operability of ready-to-use powder–liquid double-chamber bag (DCB) infusions versus traditional powder-for-injection (PFI) meropenem under clinical conditions. Methods: Infusions at clinically relevant concentrations were stored at 2–8 °C, 25 ± 5 °C, and 40 ± 2 °C for 12 h. Stability assessments included appearance, pH, osmolality, insoluble particle count, meropenem content (HPLC), and impurity A level. Results: DCBs demonstrated superior content uniformity, significantly fewer insoluble particles (p < 0.05), and greater operational simplicity compared to PFI. Refrigeration maintained meropenem content > 95% and effectively suppressed impurity formation for up to 12 h. However, at both room temperature and elevated temperature, impurity A exceeded pharmacopoeial limits within 2 h, particularly at higher concentrations. An innovative bedside solvent volume adjustment method enabled DCBs to deliver high-concentration infusions, facilitating individualized critical care dosing. Conclusions: Compared with traditional powder injection formulations, the Meropenem powder–liquid dual-chamber bag offers more convenient operation under routine preparation conditions and poses a lower risk of contamination during the preparation process. Its stability is more sensitive to storage temperature, requiring strict adherence to refrigeration conditions. When stored under standardized conditions, the dual-chamber bag can better ensure drug efficacy stability and medication safety, making it particularly suitable for clinical emergency use and standardized workflow management. Full article
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29 pages, 3821 KB  
Article
Integrated Multi-Omics Analysis Reveals Lipid Metabolism-Mediated Preservation of Postharvest Broccoli Yellowing by Static Magnetic Field
by Yi-Bin Lu, Jin-Feng Huang, Xu-Feng Chen, Wei-Lin Huang and Li-Song Chen
Plants 2026, 15(6), 870; https://doi.org/10.3390/plants15060870 - 11 Mar 2026
Viewed by 174
Abstract
Broccoli (Brassica oleracea L. var. italica) is prone to rapid yellowing when stored at ambient temperature after harvest due to membrane damage. Here, freshly harvested broccoli florets were stored in a static magnetic field (5 mT) at 20 °C. The current results [...] Read more.
Broccoli (Brassica oleracea L. var. italica) is prone to rapid yellowing when stored at ambient temperature after harvest due to membrane damage. Here, freshly harvested broccoli florets were stored in a static magnetic field (5 mT) at 20 °C. The current results demonstrated that a static magnetic field lowered postharvest yellowing (chlorophyll breakdown), water loss, and oxidative stress. An integrated transcriptome and metabolome analysis suggested that static magnetic field-mediated alleviation of postharvest yellowing and senescence of broccoli florets involved the following factors: (1) downregulating the expression of genes related to organ senescence; (2) delaying the breakdown of chlorophylls through preventing the upregulation of chlorophyll degradation-related genes and the increase in oxidative stress; (3) alleviating cellular energy imbalance by upregulated fatty acid oxidation (as indicated by decreased free fatty acids) to reduce water loss and oxidative stress and to maintain membrane integrity; (4) increasing the abundances of lysophospholipids and sphingolipids and preventing the decrease in phosphatidylcholine abundance to lower water loss and oxidative stress, inhibit ethylene production, delay chlorophyll degradation, and keep membrane integrity; (5) reducing water loss via increasing cutin, suberin, and wax biosynthesis and stomatal closure brought about by upregulated expression of phospholipase D genes; and (6) preventing the increase in malondialdehyde (MDA) content, electrolyte leakage, and weight loss rate. To conclude, this work provided some novel data elucidating the underlying mechanism by which a static magnetic field delayed postharvest yellowing and senescence of broccoli florets. A static magnetic field could retard postharvest deterioration of broccoli florets, thereby providing a clean and non-thermal method for their green preservation. Full article
(This article belongs to the Section Plant Physiology and Metabolism)
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29 pages, 3784 KB  
Article
Physicochemical Degradation and Elemental Contamination of Marine Diesel Fuel During Storage and Handling Conditions
by Stamatios Kalligeros, Despina Cheilari and George Veropoulos
Lubricants 2026, 14(3), 120; https://doi.org/10.3390/lubricants14030120 - 11 Mar 2026
Viewed by 243
Abstract
The present study examines the physicochemical degradation and elemental contamination of marine distillate diesel fuels, which were stored in land-based tanks in operational conditions. Forty-one (41) samples, in compliance with ELOT ISO 8217:2024 were analyzed for crucial physicochemical properties. Stepwise regression identified magnesium [...] Read more.
The present study examines the physicochemical degradation and elemental contamination of marine distillate diesel fuels, which were stored in land-based tanks in operational conditions. Forty-one (41) samples, in compliance with ELOT ISO 8217:2024 were analyzed for crucial physicochemical properties. Stepwise regression identified magnesium (Mg) (positive) and chromium (Cr) (negative) as significant viscosity predictors (R2 = 0.269, p = 0.003, VIF < 2), while calcium (Ca), Phosphorus (P), zinc (Zn), copper (Cu), lead (Pb) and Ferrous (Fe) were excluded due to multicollinearity. Strong correlations (r > 0.85) between element pairs (Cu-Pb) (r = 0.996), Ca-Zn (r = 0.897), and P-Ca (r = 0.888) indicate common sources from lubricant additives (ZDDP) and brass corrosion, with individual correlations recorded for Ca (showing r = 0.679, p < 0.001), P (r = 0.722, p < 0.001), and Zn (r = 0.595, p < 0.001). The results revealed that fuels stored in carbon steel tanks under high-humidity conditions for over six (6) months recorded higher metal loads than those in stainless steel tanks with regular periodic supply. The FAME content in the studied samples ranged from 6.7 to 7.1% v/v and showed no significant correlation with degradation indicators (p > 0.05). The narrow FAME range examined precludes definitive conclusions regarding specific biodiesel effects. The threshold of 0.2 mg/kg, as set by manufacturers’ guidelines to protect injectors, was exceeded in the coastal carbon steel tank samples with eight (8) months of storage under high-humidity conditions and in the coastal carbon steel tank samples with nine (9) months of storage under high-humidity conditions examined. The current study offers a systematic correlation between viscosity and elemental contamination for marine distillate fuels under operational storage conditions regarding real-world samples. Full article
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22 pages, 1697 KB  
Article
Quality Evaluation and Shelf-Life Prediction of a Mixed Mango and Passion Fruit Smoothie Under Dimethyl Dicarbonate Treatment and Packaging Interventions
by Saeid Jafari, Nateekarn Rungroj, Mohammad Fikry, Muhammad Umar, Khursheed Ahmad Shiekh, Isaya Kijpatanasilp, Sochannet Chheng, Dharmendra K. Mishra and Kitipong Assatarakul
Foods 2026, 15(5), 913; https://doi.org/10.3390/foods15050913 - 6 Mar 2026
Viewed by 183
Abstract
This study investigated shelf-life prediction of a cold-stored mixed mango–passion fruit smoothie (60:40) using kinetic modeling to compare the effects of dimethyl dicarbonate (DMDC, 250 ppm), pasteurization (90 °C for 100 s), and packaging type (glass vs. polyethylene terephthalate (PET)) during six weeks [...] Read more.
This study investigated shelf-life prediction of a cold-stored mixed mango–passion fruit smoothie (60:40) using kinetic modeling to compare the effects of dimethyl dicarbonate (DMDC, 250 ppm), pasteurization (90 °C for 100 s), and packaging type (glass vs. polyethylene terephthalate (PET)) during six weeks at 4 °C. Physicochemical parameters, functional properties (total phenolic content, total flavonoid content, and antioxidant activity by 2,2-diphenyl-1-picrylhydrazyl (DPPH) and Ferric Reducing Antioxidant Power assay (FRAP), and microbial stability were monitored weekly. Zero- and first-order kinetic models were applied to describe quality changes, with the first-order model showing superior fit (average R2 = 0.936). pH remained relatively stable (p > 0.05), while total soluble solids (TSS) gradually declined in all treatments from approximately 16–17 °Brix to 13–14 °Brix by week 6. PET packaging resulted in a significantly higher total color difference (ΔE) than glass by the end of storage (p ≤ 0.05), particularly in DMDC-treated samples. Pasteurization reduced initial polyphenol oxidase (PPO) activity by 44–56% compared with untreated and DMDC-treated samples (p ≤ 0.05), whereas PET generally exhibited higher residual PPO activity than glass. DMDC treatment better preserved antioxidant capacity, phenolics, and flavonoids, with significantly higher DPPH and FRAP values than controls at week 6 (p ≤ 0.05). Microbiologically, DMDC effectively suppressed total viable counts (<5 log CFU/mL) and yeast and mold (<3 log CFU/mL), outperforming pasteurization. Shelf-life was estimated at 27–29 days for pasteurization and 41–42 days for DMDC (250 ppm), particularly when combined with glass packaging. Overall, the DMDC–glass combination demonstrated strong potential as a non-thermal preservation approach for fruit beverages. Full article
(This article belongs to the Special Issue Processing Methods in Plant-Based Foods)
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19 pages, 2457 KB  
Article
Optical Nanomotion Detection Reveals Nanomechanical Vitality of Brewer’s Yeast During Cold Storage
by Vjera Radonicic, Thijs Van Mieghem, Lieven Van Hofstraeten, Sandor Kasas and Ronnie G. Willaert
Fermentation 2026, 12(3), 131; https://doi.org/10.3390/fermentation12030131 - 3 Mar 2026
Viewed by 497
Abstract
Yeast vitality during storage is essential for maintaining consistent fermentation performance. This study compares the physiological responses of top- and bottom-cropped Saccharomyces cerevisiae stored at 4 °C for 20 days and evaluates Optical Nanomotion Detection (ONMD) as a rapid, label-free vitality assessment tool. [...] Read more.
Yeast vitality during storage is essential for maintaining consistent fermentation performance. This study compares the physiological responses of top- and bottom-cropped Saccharomyces cerevisiae stored at 4 °C for 20 days and evaluates Optical Nanomotion Detection (ONMD) as a rapid, label-free vitality assessment tool. Classical assays (FUN-1, methylene blue, propidium iodide, glucose acidification power, glycogen content, and ethanol tolerance) were used to monitor metabolic activity, membrane integrity, and stress resilience. Bottom-cropped yeast retained metabolic activity, membrane stability, and energy reserves longer than top-cropped cells. ONMD revealed distinct single-cell nanomotion signatures and detected mechanically active subpopulations even when traditional vitality indicators declined. Analysis of nanomotion slopes showed an increasingly negative trend in the decline over storage time in top-cropped cells, indicating reduced temporal stability of nanomechanical activity during the 180 min recordings. Ethanol-challenge experiments confirmed the vitality dependence and stress-sensitivity of the ONMD signal. Together, these findings demonstrate that ONMD resolves cold-storage-induced changes in yeast nanomechanical vitality and provides complementary information beyond conventional vitality and viability assays. ONMD offers a fast, reagent-free method for monitoring brewing yeast physiology and represents a promising basis for future development toward brewery quality-control applications. Full article
(This article belongs to the Collection Yeast Biotechnology)
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12 pages, 753 KB  
Article
A Pressure Cook–Cool Process with Coconut Oil and Thai Herbs Enhances Resistant Starch, Antioxidant Activity, and Prebiotic Potential in Khao Dawk Mali 105 (KDML 105)
by Vijitra Luang-In and Noppakun Pakdeenarong
Foods 2026, 15(5), 834; https://doi.org/10.3390/foods15050834 - 2 Mar 2026
Viewed by 302
Abstract
Khao Dawk Mali 105 (KDML 105) is a widely consumed Thai staple, but conventional cooking yields rapidly digestible starch with limited functional health benefits. This study aimed to formulate pressure-cooked KDML 105 rice as a functional food using extra–virgin coconut oil, citric acid, [...] Read more.
Khao Dawk Mali 105 (KDML 105) is a widely consumed Thai staple, but conventional cooking yields rapidly digestible starch with limited functional health benefits. This study aimed to formulate pressure-cooked KDML 105 rice as a functional food using extra–virgin coconut oil, citric acid, and Thai herbs (butterfly pea flower or pandan leaf juice). Rice was pressure-cooked, cooled at room temperature, stored at 4 °C for 24 h, and frozen at −20 °C to promote resistant starch (RS) formation. RS content increased from 0.65 g 100 g−1 DW in control rice to 1.39 g 100 g−1 DW with coconut oil, and to 2.08 and 1.80 g 100 g−1 DW when citric acid plus pandan or butterfly pea juice were added, respectively. Coconut oil-treated samples showed higher antioxidant activity in DPPH and FRAP assays, while formulations with butterfly pea or pandan juices additionally reduced ABTS•+ radicals. Prebiotic potential was evaluated in vitro using Levilactobacillus brevis, Lactobacillus bulgaricus, and Streptococcus thermophilus grown in MRS medium with rice extracts. All formulations enhanced probiotic growth versus control, indicating that this pressure cook–cool process can produce a ready-to-eat functional rice with improved RS, antioxidant capacity, and probiotic support. Full article
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24 pages, 3918 KB  
Article
Mapping 3D Digital Heritage at Scale: A ChatGPT-Assisted Analysis of Sketchfab’s “Cultural Heritage & History” Models
by Massimiliano Pepe, Andrei Crisan, Emmanuel Maravelakis, Donato Palumbo, Ahmed Kamal Hamed Dewedar and Przemysław Klapa
Informatics 2026, 13(3), 36; https://doi.org/10.3390/informatics13030036 - 2 Mar 2026
Viewed by 561
Abstract
This paper evaluates the platform-mediated importance and impact of 3D cultural heritage models stored on Sketchfab by analyzing user engagement and retention metrics (views, likes, and comments), and provides a comparative assessment across other major 3D platforms. Our primary goal is to understand [...] Read more.
This paper evaluates the platform-mediated importance and impact of 3D cultural heritage models stored on Sketchfab by analyzing user engagement and retention metrics (views, likes, and comments), and provides a comparative assessment across other major 3D platforms. Our primary goal is to understand how cultural heritage content performs in terms of reach, engagement, and reuse conditions, and how platform design and taxonomies shape what becomes visible and measurable. We map Sketchfab’s Cultural Heritage & History ecosystem through a reproducible, API-driven workflow built on public metadata for over 1.37 million models (views, likes, comments, tags, and licences). The results depict a domain in rapid expansion between 2018 and 2025, while also revealing a strongly unequal attention economy: most models receive limited interaction, whereas a small minority concentrates visibility and engagement. The category Cultural Heritage & History shows high endorsement relative to reach, consistent with “high-value” engagement once content is discovered. Methodologically, large-scale harvesting required automation to manage cursor pagination, intermittent failures, and rate limits (e.g., HTTP 429). In this context, ChatGPT provided essential support by assisting the design and refinement of the extraction and counting algorithm, replacing what would otherwise have required extensive manual counting and verification at a scale that could plausibly take months. Full article
(This article belongs to the Section Social Informatics and Digital Humanities)
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23 pages, 3099 KB  
Article
A Two-Stage Algorithm for Time Series Compression: ARIMA-Based Pre-Compression and Reinforcement Learning Optimized Chunking
by Miao Chi, Su Pan, Jiaji Feng, Zhe Ding and Zhaowei Zhang
Mathematics 2026, 14(5), 841; https://doi.org/10.3390/math14050841 - 1 Mar 2026
Viewed by 278
Abstract
The explosive growth of time series gives rise to a large amount of data, which emphasizes the importance of data compression. The data compression not only reduces storage costs but also enhances data transmission efficiency and processing speed. However, traditional compression algorithms usually [...] Read more.
The explosive growth of time series gives rise to a large amount of data, which emphasizes the importance of data compression. The data compression not only reduces storage costs but also enhances data transmission efficiency and processing speed. However, traditional compression algorithms usually suffer an insufficient compression ratio and an excessive computational cost. To address these problems above, in this paper, we propose a two-stage compression algorithm for the large-scale time series data. In the first stage, we transform the time series data into low-volatility residual data by using Autoregressive Integrated Moving Average (ARIMA) modeling and apply adaptive precision quantization to improve compressibility. In the second stage, we implement a reinforcement learning-based compression strategy, which utilizes the Q-learning to select the number of blocks to divide the quantized data segment and achieves compression by storing the same content between the divided data blocks only once and storing the different content separately; and we incorporate the Upper Confidence Bound (UCB) to balance exploration and exploitation in order to track changes in data patterns and improve compression performance. Experimental results demonstrate that our algorithm achieves a higher compression ratio while maintaining a low computational complexity compared with traditional compression algorithms. Full article
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19 pages, 9613 KB  
Article
High-Energy Emulsified Clove Essential Oil Nanoemulsion as a Natural Herbicidal Product: Germination Suppression and Seed Structure Alteration in Echinochloa crus-galli
by Potjana Sikhao, Naphat Somala, Nutcha Manichart, Jantra Dimak, Thanatsan Poonpaiboonpipat, Kaori Yoneyama, Montinee Teerarak, Chamroon Laosinwattana and Nawasit Chotsaeng
Plants 2026, 15(5), 731; https://doi.org/10.3390/plants15050731 - 27 Feb 2026
Viewed by 220
Abstract
Clove (Syzygium aromaticum (L.) Merr. & L.M. Perry) essential oil (EO)-based nanoemulsions may have a promising future in eco-friendly herbicide development. Clove EO was found to have a high eugenol content of 87.27%. Organic-solvent-free nanoemulsions using clove EO as a bioactive ingredient [...] Read more.
Clove (Syzygium aromaticum (L.) Merr. & L.M. Perry) essential oil (EO)-based nanoemulsions may have a promising future in eco-friendly herbicide development. Clove EO was found to have a high eugenol content of 87.27%. Organic-solvent-free nanoemulsions using clove EO as a bioactive ingredient were fabricated using ultrasonication and microfluidization emulsification methods. Fourier-transform infrared spectroscopy confirmed that both emulsification methods did not affect the EO components. The droplet size of optimized nanoemulsions was determined using dynamic light scattering. The smallest size of 66.9 nm was obtained by microfluidization at 20,000 psi and eight passes. Additionally, the smallest droplet size for a sonicated nanoemulsion was 103.9 nm, obtained by ultrasonication at 20% for 6 min. Transmission electron microscopy confirmed the droplet sizes of both optimized nanoemulsions. In a storage test, both optimized nanoemulsions were stored at 4 °C for at least four weeks. Finally, both nanoemulsions were evaluated on pre-emergence herbicidal activities against Echinochloa crus-galli. The results showed that both nanoemulsions inhibited E. crus-galli germination and seedling growth, and additionally, inhibited seed imbibition and α-amylase activity. Micro-morphological and ultrastructural analysis was observed using a scanning electron microscope and an energy dispersive X-ray spectrometer (SEM-EDS). SEM-EDS micrographs of the treated seeds showed that the seed structure was damaged, especially the endosperm, leading to the inhibition of seed germination. Full article
(This article belongs to the Section Plant Protection and Biotic Interactions)
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19 pages, 1444 KB  
Article
The Potential of Size-Exclusion Chromatography for Evaluating the Suitability of Hydrophilic Extracts in Wood Preservation
by Anna Oberle, Jan Baar, Robert Mařík and Zuzana Paschová
Polymers 2026, 18(5), 575; https://doi.org/10.3390/polym18050575 - 27 Feb 2026
Viewed by 271
Abstract
European beech wood has low natural resistance to microbial attacks especially when it is exposed outdoors. We looked at ways of improving this by applying three hydrophilic extracts from other species known for their ability to inhibit fungal growth. We prepared oak heartwood [...] Read more.
European beech wood has low natural resistance to microbial attacks especially when it is exposed outdoors. We looked at ways of improving this by applying three hydrophilic extracts from other species known for their ability to inhibit fungal growth. We prepared oak heartwood and black locust bark extracts by accelerated-solvent extraction with aqueous methanol and freeze-drying, and obtained black wattle bark hot-water extract commercially. The molecular size of the phenolic components and associated saccharides in the extracts were determined by size-exclusion chromatography (SEC). We found that two extracts improved beech wood durability even at low concentrations (5 wt.% solution); the most effective extract was black wattle extract. The worst performance, by black locust bark extract, was attributed to the presence of small-molecule phenolics. The total phenolic content was up to 9× lower than that reported for fresh extracts. Even though the extracts were not stored specifically to preserve the original phenolic content, we found that two were still effective as fungal inhibitors. Full article
(This article belongs to the Section Biobased and Biodegradable Polymers)
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16 pages, 2748 KB  
Article
Estimation and Spatial Mapping of Soil Carbon Stock in the Perigi, South Sumatra, Indonesia, Considering Peat Depth Variability
by Jumi Cha, Minjeong Kim, Sunjeoung Lee, Jinwoo Park and Eunho Choi
Forests 2026, 17(3), 299; https://doi.org/10.3390/f17030299 - 26 Feb 2026
Viewed by 168
Abstract
Tropical peatlands are major carbon sinks that store a significant portion of the world’s soil carbon. Although approximately 37% of the world’s tropical peatlands are located in Indonesia, these ecosystems face continuous degradation from drainage and fires. Despite the urgent need for restoration, [...] Read more.
Tropical peatlands are major carbon sinks that store a significant portion of the world’s soil carbon. Although approximately 37% of the world’s tropical peatlands are located in Indonesia, these ecosystems face continuous degradation from drainage and fires. Despite the urgent need for restoration, precise local-scale baseline data remain insufficient. This study identified the spatial distribution of peat depth and soil organic carbon (SOC) stocks in Perigi, South Sumatra, an area currently lacking foundational information. We conducted field surveys at 73 sampling locations in Perigi to analyze peat depth and SOC content, developing predictive models using satellite-derived environmental variables. Based on these models, the study estimated spatial distributions and generated spatial uncertainty maps. The results indicate the potential existence of peatlands in areas not reflected in existing national maps, highlighting the necessity of detailed local-scale assessments. Furthermore, hydrological factors exerted a strong influence on both models, suggesting that the hydrological environment is a primary determinant of peatland formation in Perigi. These findings provide a scientific basis for understanding spatial characteristics and discussing future restoration and management strategies for vulnerable tropical peatland ecosystems. Full article
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20 pages, 2239 KB  
Article
The Influence of Packaging Type on the Stability of Edible Oils
by Joanna Igielska-Kalwat, Eliza Gruczyńska-Sękowska, Aleksander Siger and Magdalena Rudzińska
Appl. Sci. 2026, 16(5), 2237; https://doi.org/10.3390/app16052237 - 26 Feb 2026
Viewed by 333
Abstract
Background: Growing interest in sustainable packaging materials, such as recycled polyethylene terephthalate (rPET), raises the question of whether they can effectively replace traditional glass in packaging cold-pressed vegetable oils, which are particularly susceptible to oxidation. Methods: Rapeseed oil and golden flaxseed oil were [...] Read more.
Background: Growing interest in sustainable packaging materials, such as recycled polyethylene terephthalate (rPET), raises the question of whether they can effectively replace traditional glass in packaging cold-pressed vegetable oils, which are particularly susceptible to oxidation. Methods: Rapeseed oil and golden flaxseed oil were analyzed after 6 months of storage in glass and rPET bottles at 4 °C and 21 °C. Peroxide value, tocopherol content, sterol and oxyphytosterol profiles, color parameters, and triacylglycerol composition were evaluated using validated ISO/AOCS, HPLC, and GC methods; results were subjected to ANOVA statistical analysis. Results: Temperature was shown to be the main factor determining the rate of degradation, and flaxseed oil exhibited significantly lower oxidative stability compared with rapeseed oil. At 21 °C, a rapid increase in peroxide value, intensive tocopherol degradation, greater sterol losses, and deterioration of color were observed, particularly in samples stored in rPET. At 4 °C, the rate of change was markedly lower, and differences between glass and rPET remained minimal. Conclusions: Glass provides the best protection against oxidation; however, rPET can serve as a suitable packaging material for vegetable oils with higher oxidative stability stored under refrigerated conditions; at room temperature, it promotes a noticeable deterioration in oil quality. Full article
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26 pages, 446 KB  
Article
PP-EDUVec: Privacy-Preserving Intelligent Management Algorithms for Educational-Corpus Vector Databases Under Retrieval-Augmented Learning
by Shiming Fu, Fen Liu, Jie Zhou, Jianping Cai and Zijie Pan
Electronics 2026, 15(5), 943; https://doi.org/10.3390/electronics15050943 - 25 Feb 2026
Viewed by 238
Abstract
Educational platforms increasingly rely on vector databases to store and retrieve embedding representations of large-scale learning corpora (e.g., lecture notes, assignments, feedback, and student Q&A) for retrieval-augmented generation and analytics. However, directly indexing educational text embeddings raises privacy risks (student identities, sensitive performance [...] Read more.
Educational platforms increasingly rely on vector databases to store and retrieve embedding representations of large-scale learning corpora (e.g., lecture notes, assignments, feedback, and student Q&A) for retrieval-augmented generation and analytics. However, directly indexing educational text embeddings raises privacy risks (student identities, sensitive performance signals, and protected attributes) and creates a management challenge: embeddings drift as curricula evolve, access policies change, and new content arrives continuously. This paper studies privacy-preserving intelligent management of educational-corpus vector libraries and proposes a novel, end-to-end algorithmic framework that jointly optimizes (i) privacy leakage control, (ii) retrieval quality, and (iii) operational efficiency under streaming updates. We introduce a hierarchical policy-aware vector lifecycle model, a privacy budget scheduler for adaptive re-embedding and re-indexing, and a secure-aware clustering-and-routing mechanism that supports fast query-time filtering with minimal accuracy loss. The resulting system, PP-EDUVec, enables compliant similarity search across multi-tenant educational data while automatically maintaining index health (freshness, redundancy, and utility) over time. On the EDU-Mix benchmark, PP-EDUVec achieves Recall@10 =0.835 while reducing representation leakage (LeakRep) from 0.215 to 0.136 (36.7%) and access-pattern leakage (LeakAP) from 0.398 to 0.255 (35.9%), and lowering mean latency from 42.1 ms to 33.4 ms (20.7%) and weekly maintenance time from 55.0 to 35.8 min/week (34.9%) compared with PostFilter. Full article
(This article belongs to the Special Issue Security and Privacy in Distributed Machine Learning)
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15 pages, 510 KB  
Article
Experience Goods and Delayed Price Discovery: Evidence from Information Frictions in Game Releases
by Sujin Pyo and Minsu Cho
Mathematics 2026, 14(5), 755; https://doi.org/10.3390/math14050755 - 24 Feb 2026
Viewed by 275
Abstract
This study investigates whether financial markets efficiently incorporate information related to new product releases in industries where fundamental signals become available only after consumer engagement. Analyzing 49 commercial game launches by 13 publicly listed publishers in South Korea from 2001 to 2024, the [...] Read more.
This study investigates whether financial markets efficiently incorporate information related to new product releases in industries where fundamental signals become available only after consumer engagement. Analyzing 49 commercial game launches by 13 publicly listed publishers in South Korea from 2001 to 2024, the research examines short-term return and volatility patterns around the official release date. In contrast to the pre-announcement drift in macroeconomic contexts, there is no evidence of abnormal price or volatility movements prior to launch, which is consistent with the limited informativeness of pre-release marketing for experience goods. Instead, stock prices display a significant negative return and a marked increase in volatility on the day following the launch, rather than on the launch day itself. This pattern corresponds to the delayed emergence of verifiable performance indicators, such as app store revenue rankings and early user-generated content, which typically appear only after consumer interaction with the product. These results indicate that price discovery for digital experience goods is influenced by industry-specific information frictions, which leads to delayed and discontinuous market adjustments. The study contributes to the literature by showing that ex-ante price discovery does not generalize across industries and by emphasizing the critical role of post-release signal timing in shaping event-driven asset price dynamics. Full article
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