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Vitamin D has long been recognized for its role in calcium homeostasis and bone metabolism; however, it is now emerging as an important regulator of central nervous system (CNS) function. Recent evidence suggests that vitamin D signaling contributes to the pathogenesis and progression of several neurodegenerative disorders. Vitamin D exerts neuroprotective effects through multiple mechanisms, including regulation of calcium homeostasis, modulation of immune responses, reduction in oxidative stress, stimulation of neurotrophic factors, and maintenance of blood–brain barrier (BBB) integrity. Vitamin D receptors and metabolizing enzymes are widely distributed across several brain regions, highlighting their direct involvement in neuronal function. This review summarizes the biosynthesis, metabolism, and signaling pathways of vitamin D. It explores its role in neurodegenerative diseases such as Alzheimer’s disease (AD), Parkinson’s disease (PD), multiple sclerosis (MS), amyotrophic lateral sclerosis (ALS), stroke, and traumatic brain injury (TBI). Evidence from experimental and clinical studies indicates that vitamin D deficiency is associated with an increased risk and severity of these conditions, while supplementation may provide therapeutic benefits. Full article

Background/Objectives: The “Land of Fires” (LF) in the Campania Region has attracted considerable attention due to massive environmental contamination deriving from decades of illegal disposal, burial, and burning of urban, industrial, and toxic waste. Cadmium (Cd) has been repeatedly proven to affect male reproductive function by a plethora of endocrine and non-endocrine mechanisms. The scientific literature is almost devoid of large studies addressing semen quality in this area, particularly by directly correlating seminal parameters to objectively measured pollutant burden in biological samples. Therefore, the aim of the current study was to comprehensively evaluate semen quality of males of reproductive age living in the LF, by correlating seminal parameters to cumulative local male reproductive tract Cd burden objectively quantified in whole semen samples. Methods: The current single-center, observational, cross-sectional study evaluated semen quality in 493 males aged 14–50 (29.07 ± 7.17) years living in three LF municipalities. Moreover, the association of semen quality with whole semen Cd (sCd) levels measured by inductively coupled plasma mass spectrometry (ICP-MS) was addressed in a subgroup of participants; semen samples suitable for semen Cd measurements were available from 383/493 (77.7%) participants of the total cohort, and all analyses involving semen Cd were performed within the measured subset. Results: In the total cohort, seminal parameters were as follows: semen pH 8.32 ± 0.3, semen volume 3.13 ± 1.67 mL, sperm concentration 37.58 ± 30.18 × 10⁶/mL, total count 111.2 ± 104 × 10⁶/ejaculate, total motility 56.83 ± 16.09%, progressive motility 50.22 ± 16.63%, in situ motility 6.72 ± 3.43%, immotile spermatozoa 43.07 ± 15.88%, normal morphology 7.97 ± 4.02%, and viability 64.75 ± 15.34%. Prevalence of normozoospermia and pathological seminal parameters was as follows: normozoospermia 66.5% (328/493), pathological seminal parameters 33.5% (165/493), specifically, oligozoospermia 14% (69/493), cryptozoospermia 0.8% (4/493), azoospermia 2.2% (11/493), asthenozoospermia 3% (15/493), teratozoospermia 0.6% (3/493), oligo-astheno-teratozoospermia 6.1% (30/493), necrozoospermia 5.7% (28/493), and different combined seminal parameters alterations 7.1% (35/493). Whole semen Cd was below (undetectable) or above (detectable) the limit of detection (LoD) (0.2 μg/L) in 66.6% (255/383) and 33.4% (128/383) whole semen samples, respectively. In samples with detectable sCd, sCd level was below or above the median value (0.76 μg/L; min–max 0.1–5.95 μg/L) in 23.4% (30/128) and 76.6% (98/128) whole semen samples, respectively. Participants with detectable sCd levels had a significantly reduced sperm total count (93.28 ± 84.88 × 10⁶/ejaculate vs. 113.2 ± 101.5 × 10⁶/ejaculate; p = 0.037), and normal morphology (7.29 ± 3.71% vs. 8.23 ± 3.91%; p = 0.034), and a significantly lower prevalence of normozoospermia (60.2% vs. 72.2%; p = 0.02) and significantly higher prevalence of pathological seminal parameters (39.8% vs. 27.8%; p = 0.02), specifically, a significantly higher prevalence of oligozoospermia (21.1% vs. 12.6%; p = 0.036) than those with undetectable sCd levels. Whole semen Cd levels were significantly higher in participants with pathological seminal parameters (1.08 ± 0.84 μg/L vs. 0.93 ± 0.74 μg/L; p = 0.037) than those with normozoospermia. Participants with sCd levels above the median value (N = 98) had a significantly reduced sperm concentration (29.12 ± 24.84 × 10⁶/mL vs. 43.62 ± 29.55 × 10⁶/mL; p = 0.015) and displayed a trend towards reduced sperm normal morphology (6.92 ± 3.38% vs. 8.55 ± 4.49%; p = 0.057) than those with sCd levels below the median value (N = 30). Moreover, participants with sCd levels above the median value (N = 98) had a significantly reduced sperm concentration (29.12 ± 24.84 × 10⁶/mL vs. 35.3 ± 26.29 × 10⁶/mL; p = 0.03), total count (85.77 ± 80.52 × 10⁶/ejaculate vs. 113.2 ± 101.5 × 10⁶/ejaculate; p = 0.008) and normal morphology (6.92 ± 3.38% vs. 8.23 ± 3.91%; p = 0.006), and a significantly lower prevalence of normozoospermia (57.1% vs. 72.2%; p = 0.008) and significantly higher prevalence of pathological seminal (42.9% vs. 27.8%; p = 0.008), specifically, a significantly higher prevalence of oligozoospermia (23.5% vs. 12.6%; p = 0.014) than those with undetectable sCd levels. Conclusions: The results of the current study demonstrate an association between the environmental Cd exposure and the impairment of seminal parameters, with a significantly poorer semen quality in participants with detectable sCd, and, more markedly, in those with sCd level above the median value, compared to participants with undetectable sCd, although subgroups comparisons highlighted a homogeneous profile in major confounders including age, BMI, and smoking habits among subgroups of participants with different sCd burden. Full article

As global populations grow and technology advances, daily life is increasingly shaped by digital systems such as computers and smart devices. However, prolonged device use has contributed to increasing physical and mental health concerns, particularly those associated with poor sitting posture. Posture-related strain is frequently overlooked and contributes to musculoskeletal discomfort, including back, neck, shoulder, and wrist pain, and may also be associated with sleep disturbances and elevated stress levels. To the best of our knowledge and based on the existing literature, this is the first study to introduce a machine learning-based framework for advanced muscle strain severity classification using Internet of Things (IoT) devices that integrates posture monitoring and muscle strain detection into a unified low-cost framework ($23 hardware cost). The primary objective of this work is accurate classification of muscle strain severity, while real-time alerts serve as a secondary ergonomic feedback mechanism. Specifically, this study makes four major contributions. First, we created a novel dataset through real-time acquisition of electromyography (EMG) and posture signals from participants in hospital and industrial environments, capturing diverse muscle strain patterns validated against clinical assessment procedures. Second, we designed a two-part hardware architecture consisting of posture detection (PD) and strain detection (SD) modules using a NodeMCU ESP8266, HC-SR04 ultrasonic sensor, EMG sensor, and buzzer for real-time physiological monitoring, incorporating EMG-specific preprocessing including band-pass filtering, rectification, and RMS smoothing. Third, we proposed and evaluated a hybrid machine learning framework integrating Vision Transformer (ViT) and XGBoost to classify strain severity into three study-specific categories: baseline (EMG RMS < 40 µV), compensatory strain (40–59 µV), and overload (≥60 µV). These categories were used as reproducible severity proxies for machine learning annotation and should not be interpreted as universal biomarkers of structural tissue damage. Finally, the proposed framework achieved a classification accuracy of 99.0% (95% CI: 98.5–99.5%) with an inference latency of 15.2 ms. Full article

To clarify the spreading law of river crab pellet feed in a centrifugal spreading mechanism and provide a physical basis for the path planning of automatic feeding boats, this study took 4.0 mm sinking extruded river crab feed as the research object. A systematic research method combining physical experiments and Discrete Element Method (DEM) simulation was established. Physical experiments were conducted to calibrate the intrinsic parameters (density, Poisson’s ratio, elastic modulus) and contact parameters (friction coefficients and restitution coefficients between feed and 304 stainless steel/ABS plastic, as well as between feed particles) of the pellet feed. On this basis, a DEM simulation model of a vibration blanking-dual disc centrifugal spreading mechanism was constructed using the multi-sphere aggregation method and the Hertz-Mindlin (no-slip) contact model. A Central Composite Design (CCD) response surface experiment was employed to investigate the spreading law, with boat speed (0.5–1.5 m/s) and spreading disc rotation speed (800–1000 rpm) as independent variables, and unilateral spreading width (W), track superposition uniformity (ω), and transverse coefficient of variation ($Cv$) as response indicators to characterize spreading range and particle distribution. The results showed that the spreading disc rotation speed had an extremely significant effect (p < 0.0001) on all three response indicators, while boat speed had no significant effect. The feed exhibited a characteristic double fan-shaped superposition distribution pattern. Through multi-objective optimization, the optimal operational parameters were determined as a boat speed of 1.0 m/s and a spreading disc rotation speed of 879 rpm, yielding a unilateral spreading width of 2.9 m, a track superposition uniformity of 88.31%, and a transverse coefficient of variation of 8.33%. This study establishes a quantitative method for analyzing feed spreading characteristics and clarifies the spreading range and particle distribution law, providing a reliable physical basis for full-coverage path planning of crab pond feeding boats. Full article

Background:Scutellaria baicalensis (Scu) extract has been traditionally used in the treatment of stroke-related syndromes, yet its underlying molecular mechanisms, particularly those involving ferroptosis, remain to be fully elucidated. Purpose: This study aims to validate the hypothesis that Scu extract improves cerebral ischemia-reperfusion injury (CIRI) by inhibiting ferroptosis through the PI3K/AKT signaling pathway. Methods: This study employed middle cerebral artery occlusion (MCAO) in male Sprague-Dawley (SD) rats and oxygen–glucose deprivation/reoxygenation (OGD/R) models to evaluate the protective effects of Scu extract against CIRI. Multiple approaches were integrated to elucidate the underlying mechanisms. Furthermore, a range of experimental techniques, including neurological function assessment, TTC staining, histopathological analysis, biochemical assays, qPCR, transmission electron microscopy (TEM), reactive oxygen species (ROS) detection, Western blotting, and immunofluorescence, were used to comprehensively validate its neuroprotective effects. Results: Scu extract significantly improved neurological outcomes and attenuated brain injury in MCAO rats. Proteomic analysis revealed significant enrichment of ferroptosis-related pathways, which was supported by reduced mitochondrial damage, decreased iron accumulation, and restoration of the SLC7A11/GPX4 axis. Subsequently, UPLC/Q-TOF-MS analysis revealed that four major bioactive components were absorbed in MCAO rats. KEGG pathway analysis based on network pharmacology further indicated that the PI3K/AKT signaling pathway is a key regulatory target. Notably, pharmacological inhibition of PI3K with LY294002 markedly abolished the anti-ferroptotic effects of Scu extract, which was further confirmed in vitro. Conclusions: This study demonstrates that Scu extract confers neuroprotection against CIRI in MCAO rats potentially through inhibiting ferroptosis via activation of the PI3K/AKT pathway. Full article

With the rapid advancement of wearable technologies, high-performance flexible sensors have garnered significant research interest. This study presents a PAM-5 hydrogel characterized by exceptional tensile strain (425%), superior compressive modulus (325 kPa), and notable ionic conductivity (1.1 S/m), serving as a robust mechanical framework and electrical foundation for developing advanced sensors. The PNP-5 integrated hydrogel sensor fabricated from this material demonstrates an extensive sensing range (2–53 kPa), remarkable sensitivity, and rapid response time (~321 ms), with its outstanding performance attributed to the synergistic structural design. Furthermore, the sensor exhibits excellent durability, maintaining consistent voltage output (~6.5 mV) across 1000 compression cycles, confirming its long-term operational stability. Through real-time monitoring of physiological signals and biomechanical movements including finger bending, respiration, and grasping, combined with spatial pressure mapping experiments using a 5 × 5 array touchpad, the device’s potential applications in wearable sensing platforms and human–machine interface systems are effectively demonstrated. This self-powered hydrogel sensor not only advances the performance metrics of flexible electronic devices but also establishes a solid experimental basis for future development of intelligent materials in health monitoring and interactive technologies. Full article

This study investigates the use of mussel shells (MSs), a biogenic by-product of the food industry, as a partial replacement for ground granulated blast furnace slag (GBFS) in alkali-activated mortars. Given their high CaCO₃ content, MSs represent a sustainable secondary raw material that reduces both waste disposal burden and reliance on natural resources, while offering a low-carbon alternative to conventional cement-based binders. Alkali-activated mussel shell/slag mortars (AAMSs) were produced with MS replacement ratios of 0%, 5%, 10%, 15%, and 20% by mass of GBFS. Sodium hydroxide (NaOH) and sodium silicate (Na₂SiO₃) were used as alkaline activators. Fresh specimens were cured at 60 °C for 48 h. The experimental program included workability, compressive and flexural strength, water absorption, porosity, density, capillarity, ultrasonic pulse velocity (UPV), and freeze–thaw (F-T) resistance tests. Increasing MS content slightly reduced flowability and mechanical strength, while increasing water absorption, porosity, and capillarity. The M0 series achieved the highest 28-day compressive strength (54.06 MPa), while M15 exhibited the highest flexural strength (5.23 MPa). Following F-T cycling, the 5% and 10% MS series demonstrated the best compressive strength (30 MPa). The 10% MS exhibits a relatively balanced overall performance, providing the best balance between mechanical performance, F-T resistance, and microstructural stability, as confirmed by scanning electron microscopy (SEM)/energy-dispersive X-ray spectroscopy (EDS) analyses showing elevated Ca/Si ratios and the formation of Ca-rich crystalline phases. Full article

Millimeter-wave radar enables non-contact monitoring of cardiac activity and therefore has the potential to reconstruct electrocardiogram signals without surface electrodes. However, existing radar-based electrocardiogram reconstruction methods still suffer from incomplete extraction of heartbeat-related information and insufficient modeling of electrocardiogram-related features, which limits reconstruction accuracy. To address these issues, this study proposes a millimeter-wave radar-based electrocardiogram reconstruction method that integrates a respiratory-harmonic-suppressed multi-channel signal-processing frontend with the proposed CA-WTBNet deep reconstruction network. First, based on maximal overlap discrete wavelet transform-based multi-resolution analysis, respiratory harmonics mixed into heartbeat-related components are suppressed by combining respiratory harmonic detection with a heart-rate frequency protection strategy, while cardiac-related information is preserved as much as possible. A multi-channel input representation is then constructed. Meanwhile, the proposed deep reconstruction network is developed to jointly model complementary channel-wise features, local waveform morphology, and temporal dependencies by integrating channel-attention mechanisms, convolutional residual modules, window-based Transformer blocks, and bidirectional long short-term memory. Experiments conducted on the public dataset show that our method achieves an average Pearson correlation coefficient of 0.9641, a mean normalized root mean square error of 0.0458, an average R-peak F1 score of 0.9956, and an average R-peak timing error of 3.13 ms on the test set. In comparison with related studies on the same public Resting dataset, the proposed method achieves the best overall performance among the compared methods, with a 0.53% improvement in Pearson correlation coefficient and a 10.20% reduction in normalized root mean square error over the best-performing compared method. Full article

Flavonoids are essential secondary metabolites that predominantly affect flower pigmentation in plants. Understanding the molecular mechanisms underlying flower color divergence is crucial for ornamental plant breeding. This study aimed to elucidate the factors responsible for the differences in color between white-petaled Cosmos bipinnatus and orange-petaled Cosmos sulphureus. We employed an integrated approach combining untargeted LC–MS/MS metabolomics and high-throughput transcriptome sequencing of fresh petals to analyze pigment composition and differential gene expression. Petal pigment extraction, total flavonoid quantification, and metabolomic profiling consistently revealed that differences in flavonoid abundance are responsible for flower color divergence between the two species. In contrast, carotenoids, previously considered potential contributors to flower coloration, were neither evident in the oil phase of the pigment extracts nor detected by metabolomic analysis. Flavonoid compounds accumulated at relatively high levels in the orange petals of C. sulphureus, reaching 11.36 times that of C. bipinnatus, contributing to its bright appearance. Transcriptomic analysis revealed differences in gene expression patterns between the two species, highlighting key candidate genes involved in the flavonoid biosynthesis pathway, such as chalcone synthase. These findings indicate that the orange coloration of C. sulphureus may be associated with CHS-regulated accumulation of naringenin chalcone and downstream compounds in the flavonoid metabolic pathway after CHS, providing valuable theoretical support for a deeper understanding of the causes underlying the differences in flower color between C. bipinnatus and the orange-petaled C. sulphureus. Full article

Lead (Pb) induces oxidative stress, inflammation, and hepatorenal injury. We evaluated whether fenugreek (Trigonella foenum-graecum) seed powder (200 mg/kg) protects against subchronic Pb-acetate exposure in male albino mice. Sixty mice were randomized to six groups (n = 10): control (G1), fenugreek-only (G2), Pb 150 mg/kg (G3), and three co-exposure groups receiving fenugreek with Pb at 50, 100, and 150 mg/kg (G4–G6), gavaged daily for 8 weeks. LC–DAD–ESI–MS/MS of the seed batch tentatively identified 32 metabolites, dominated by flavonoid C-glycosides, luteolin dihydrogalloyl-glucosyl-pentosyl glucoside (15.90%), vicenin-3 (14.46%), vicenin-2 (9.66%), vicenin-1 (8.80%), kaempferol 7-O-rhamnosyl-glucoside (8.71%), with additional acylated phenolic conjugates. Pb exposure (G3) significantly reduced growth and intake, elevated serum ALT, AST, ALP, urea, and creatinine, raised blood Pb, and produced hepatic necrosis, vacuolation, and inflammation. Molecularly, Pb upregulated Nrf2, HO-1, SCD-1, TNF-α, and IL-6 and suppressed SOD-3. Fenugreek co-treatment attenuated all these changes across the three Pb doses, with greatest effect at the lowest Pb load (G4). Notably, fenugreek co-treatment reduced rather than further increased Nrf2 and HO-1 expression relative to Pb alone, a pattern most consistent with lowering the upstream oxidative stimulus rather than direct induction of these pathways. The seed’s polyphenolic profile—rich in vicenin-type C-glycosides and luteolin and kaempferol derivatives—offers a plausible chemical basis for the antioxidant, anti-inflammatory, and modest Pb-lowering effects observed; however, because whole seed powder was administered and metabolite identifications are tentative, these structure–activity relationships are presented as hypotheses for future bioactivity-guided fractionation rather than as demonstrated mechanisms. These preclinical findings support further investigation of fenugreek as a candidate dietary adjunct against environmental Pb exposure, contingent on protein-level validation, pharmacokinetic characterization, benchmarking against a standard chelator, and bioactivity-guided fractionation. Full article

This study examined acute pre- to post-match changes in perceived mental fatigue, subjective workload, and psychomotor performance in professional male soccer players, and whether cognitive changes were associated with GPS-derived external-load metrics, match outcome, and playing position. The dataset comprised 101 player–match measurements from 40 elite players, with paired pre–post psychomotor assessments yielding n = 202 total measurements. Pre–post comparisons were analysed using repeated-measures ANOVA, supplemented by linear mixed-effects models with a random intercept for player. Soccer matches produced large increases in perceived exertion, mental fatigue, mental demand, physical demand, and effort (all p < 0.001), and significant deteriorations in reaction time, accuracy, processing speed, and response variability (all p ≤ 0.005), confirmed in the mixed-effects analyses (all p ≤ 0.014). In the initial player–match-level analyses, high-intensity accelerations (>3 m·s⁻²) were weakly associated with greater Δreaction-time slowing (r = 0.203), increased response variability (r = 0.276), and reduced Rate Correct Score (r = −0.242), while high metabolic load distance was weakly associated with post-match perceived mental fatigue but not with psychomotor-performance changes. One-way ANOVAs indicated greater post-match psychomotor decrements following losses than draws. Once within-player dependence was modelled, the effects of match outcome, playing position, and most external-load metrics were attenuated, except for a residual match-outcome effect on accuracy and a high-intensity deceleration effect on accuracy. These findings indicate that competitive soccer match play is followed by acute psychomotor-performance decrements and increased perceived mental fatigue, whereas the contributions of mechanical load, match outcome, and playing position appear modest and partly reflect stable between-player differences. Full article

Background: Neutrophil dysregulation drives inflammatory pathologies through mechanisms such as matrix metalloproteinase-9 (MMP-9) release. High-value bioprospecting of agro-industrial residues offers a sustainable strategy to identify novel bioactive compounds. In this study, the immunomodulatory effects of seed oils (SOs) obtained via supercritical fluid extraction from Passiflora edulis and Rubus glaucus byproducts on human neutrophil responses was evaluated. Methods: SO lipid profiles were characterized via GC-MS. Human neutrophils were isolated using Percoll gradients and treated with the SOs (10–50 µg/mL). Cytocompatibility was assessed via MTT and trypan blue assays. MMP-9 activity and ERK1/2/p38 phosphorylation were determined via zymography and Western blotting, respectively. Results of GC-MS revealed matrices rich in unsaturated lipids: R. glaucus SO was dominated by linoleic (50.02%) and α-linolenic (29.84%) acids, whereas P. edulis SO contained linoleic (58.91%) and oleic (19.75%) acids. Both oils were highly biocompatible up to 50 µg/mL. Both SOs significantly increased MMP-9 release; notably, R. glaucus induced a dose-dependent response and a potential priming effect at 10 µg/mL. Interestingly, neither oil induced the phosphorylation of ERK1/2 or p38. Conclusions: Supercritical fluid-extracted SOs from P. edulis and R. glaucus byproducts modulate early neutrophil responses by increasing MMP-9 release through pathways independent of classical MAPK phosphorylation. Further functional and in vivo validation is needed to clarify the precise regulatory roles of these specialized lipid matrices in human inflammation resolution and their potential as bioactive ingredients for nutraceutical or pharmaceutical applications. Full article

This study conducts a multi-objective optimization of an impact pruner for coniferous plantation trees, using Prince Rupprecht’s larch (Larix principis-rupprechtii Mayr) in North China as a case study. The objective is to establish an impact cutting mechanics model and to construct an impact cutting platform. This study utilizes the Box–Behnken principle, with the cutting speed (v), cutter wedge angle (β), and cutting clearance (L) as influencing factors and the cutting energy consumption (Y₁), total equipment energy consumption (Y₂), and specific cutting area (S) as evaluation indexes. The cutting parameters were optimized using a mathematical model for multi-objective optimization. The experimental results indicate that the factors influencing target Y₁ were ranked as β, L, and v, while the factors influencing target Y₂ were ranked as β, v, and L, and the factors influencing target S were ranked as L, β, and v. Field tests demonstrated that the optimization reduced the cutting energy consumption by up to 16.90% and improved the cutting quality by up to 19.28%. These gains directly translate to improved operational efficiency and economic value in forestry management. The optimal parameters corresponding to these improvements are v = 2.15 m·s⁻¹, β = 20°, and L = 5 mm, resulting in Y₁ = 36.10 J, Y₂ = 3351.01 J, and S = 3.45. These results demonstrate the feasibility and efficiency of the impact pruning method for Larix principis-rupprechtii in coniferous plantation forests. By combing mechanism analysis with multi-objective optimization, this study proposes a solution that can improve the pruning quality of coniferous plantation trees, reduce the energy consumption of impact pruning machines, enhance tree health, and serve as a measure to prevent pests and diseases, contributing to the advancement of artificial forest plant protection technology. Full article

Global warming exacerbates high-temperature stress, disturbing the growth, metabolic homeostasis and quality formation of tea plants (Camellia sinensis L.). Trehalose, a multifunctional osmolyte, can enhance abiotic stress tolerance, but its systematic metabolic mechanism against heat damage in tea remains unclear. Here, we applied integrated gas chromatography–mass spectrometry (GC-MS) and liquid chromatography–mass spectrometry (LC-MS) non-targeted metabolomics to compare control (CK), heat-stressed (T), and trehalose-treated heat-stressed (TT) tea leaves. We identified 163 differential volatile metabolites in GC-MS and 1619 differential non-volatile metabolites in LC-MS. Metabolite classification showed that organic oxygen compounds dominated differential volatile metabolites, while lipids and lipid-like molecules dominated differential non-volatile metabolites. The Kyoto Encyclopedia of Genes and Genomes enrichment showed that alanine, aspartate and glutamate metabolism, arginine biosynthesis, aminoacyl-tRNA biosynthesis, and flavone and flavonol biosynthesis were core shared pathways. Quantitatively, exogenous trehalose under heat stress significantly increased carbohydrate accumulation, restored lipid homeostasis, and elevated alanine, arginine, and related intermediates, thereby maintaining carbon–nitrogen balance. Trehalose also remodeled the amino acid substrate pool for aminoacyl-tRNA biosynthesis. In flavonoid metabolism, trehalose enhanced high-antioxidant flavonoid aglycones while reducing most glycosides and inhibiting excessive hydroxylation of flavonols. Although total flavonoid content decreased in TT relative to T, this reflected alleviated oxidative damage and reduced dependence on flavonoid-based defense. Combined with total amino acid and flavonoid quantifications, we conclude that exogenous trehalose enhances tea plant thermotolerance by coordinately regulating primary amino acid metabolism and secondary flavonoid metabolism. These findings provide a theoretical basis for using trehalose in heat-resistance cultivation and quality improvement of tea plants. Full article

Conventional fire monitoring systems frequently exhibit high false alarm rates, delayed response times, and a lack of closed-loop control capabilities, which severely constrain their deployment in complex real-world environments. To address these issues, this paper proposes an embedded fire detection, tracking, and extinguishing system based on multimodal information fusion and a lightweight neural model. The system follows a “Perception–Decision–Execution–Feedback” closed-loop paradigm and is implemented on a heterogeneous cooperative computing architecture comprising OpenMV4 H7 Plus and STM32F103C8T6 microcontrollers. The perception layer implements a decision-level RGB-infrared fusion mechanism that incorporates a pruned, INT8-quantized lightweight FOMO model, enabling real-time fire detection with an inference latency of 210 ms and a model size of merely 1.8 MB under resource-constrained embedded conditions. The decision layer employs a Bayesian inference-based multimodal fusion framework that effectively suppresses spurious fire interference. The vision-only false detection rate is 15.3%. After infrared fusion verification, the system-level false alarm rate is reduced to 2.0% on the interference test set. In the execution layer, a sixth-degree polynomial jet trajectory model was established and combined with an improved PID–PI dual-loop controller to enable dynamic optimization of spray angle and flow rate in real time. Experimental results demonstrate that the proposed system achieves an average fire recognition accuracy of 95.6% with a false alarm rate as low as 1.4%. Furthermore, it realizes an extinguishing accuracy better than ±5 cm within an effective operating range of 10–60 cm and completes the entire perception-to-extinguishing cycle within 8.5 s under illumination conditions ranging from 50 to 100,000 lux. These results demonstrate the excellent real-time capability, robustness, and energy efficiency of the proposed system, providing a practical and scalable solution for autonomous embedded fire-fighting applications in household, industrial, and warehouse environments. Full article