Search Results (306)

Intensive aquaculture and antibiotic overuse have rendered largemouth bass (Micropterus salmoides) prone to frequent mass mortalities and economic losses. Probiotics are promising antibiotic alternatives for improving intestinal health and immunity. This study evaluated a novel butyrate-producing strain Clostridium butyricum DMZ-SG06 to elucidate its growth-promoting and immunomodulatory mechanisms. Three dietary treatments were used: control (Con, basal diet), T1 (basal diet supplemented with 1 g C. butyricum powder containing 5 × 10⁸ CFU per 10 g diet), and T2 (basal diet supplemented with 1 mL C. butyricum suspension containing 5 × 10⁸ CFU per 10 g diet). A total of 270 healthy juvenile largemouth bass (5.63 ± 0.03 g) were randomly allocated to three groups (90 fish per group), with each group divided into three replicate tanks (60 × 40 × 34 cm) (30 fish per tank). Fish were fed the corresponding diets to apparent satiation for a 60-day rearing period. Results showed that T2 increased weight gain rate (WGR) by 11.35% compared with control (p < 0.05, 213.90 ± 12.30% vs. 192.10 ± 10.20%) and significantly improved the specific growth rate (SGR, p < 0.05), with T2 performing best. Probiotic treatments markedly improved intestinal morphology, nonspecific immune indices, and antioxidant status (p < 0.05), with T2 exerting the most prominent effects. C. butyricum DMZ-SG06 significantly reduced the levels of pro-inflammatory cytokines. For instance, TNF-α levels in T2 decreased 1.39-fold compared with the control group (128.57 ± 4.97 pg/g vs. 178.67 ± 7.80 pg/g, p < 0.05). Meanwhile, the levels of anti-inflammatory cytokines were upregulated. For example, IL-10 levels in T2 increased 1.32-fold relative to the control group (321.89 ± 15.03 pg/g vs. 244.31 ± 7.57 pg/g, p < 0.05). Metagenomic analysis revealed reduced Acinetobacter abundance, enriched beneficial genera (Lactobacillus, Parabacteroides, p < 0.05), and enhanced microbial functions related to the phosphotransferase system and galactose metabolism (p < 0.05). In conclusion, C. butyricum DMZ-SG06 promotes largemouth bass growth and intestinal health via butyrate metabolism, immune modulation, and microbiota remodeling. Notably, the liquid bacterial suspension formulation exerts a more significant effect on enhancing the fish’s growth performance and intestinal health than the powder counterpart, supporting its application as a safe probiotic in antibiotic-free aquaculture. Full article

Vision-based traffic accident anticipation is critical for active vehicle safety systems, yet existing architectures frequently conflate performance gains with heavy parameter scaling optimized from scratch on compact domains. Consequently, during real-time inference, these frameworks suffer from severe prediction volatility and early triggering biases that induce dangerous control instability. To address these limitations, this paper shifts the research focus away from network modifications toward a highly controlled, strategy-driven training pipeline executed under a completely invariant spatial–temporal neural backbone. Our proposed paradigm establishes a robust framework through three decoupled milestones. First, an out-of-domain initialization strategy transferred generalized driving kinetics from a large-scale sequence domain (Mapillary) to serve as a stable temporal anchor. Second, a target-domain generative enrichment step injected synthetic nighttime scenes to decouple hazard features from low-light ambient noise. Third, progressive temporal supervision paradigm scaling targeted labels monotonically to align with continuous kinetic risk accumulation. Overall evaluations on the Car Crash Dataset (CCD) benchmark demonstrate that the fully integrated configuration (C4) pipeline achieves 69.89% in frame-level Mean Average Precision (mAP), which is an improvement of +22.81 percentage points over the baseline configuration. Continuous temporal measurements prove that our framework can adapt to tracking volatility, compressing Temporal Confidence Variance to 0.00328, and dropping the Prediction Instability Count to 0.66. While hyper-sensitive baselines report early raw latency averages driven by premature trigger noise, our model purposefully filters this early-frame variability to deliver a secure warning profile, achieving an absolute zero false alarm rate (FAR = 0.00%) across evaluated non-hazardous driving sequences, establishing the sequence-level trustworthiness required for practical autonomous deployment. Full article

Transparent and stable complementary inverters that can simultaneously support analog amplification and digital oscillation under optical stimulation are highly demanded for future see-through optoelectronic systems such as smart windows, augmented-reality interfaces, and on-skin photonic sensors. In this work, we report fully transparent, low hysteresis complementary inverters composed of a p-channel single-walled carbon nanotube (SWNT) thin-film transistor (TFT) with a top-gate iCVD pC1D1 polymer dielectric and an n-channel indium–gallium–zinc oxide (IGZO) TFT with a bottom-gate Al₂O₃ dielectric, both fabricated on ITO-coated glass substrates. The two TFTs exhibit well-matched output characteristics in opposite carrier polarities, enabling a CMOS-like inverter operation that delivers rail-to-rail switching, high voltage gain and a small hysteresis of less than 200 mV between forward and reverse sweeps. Furthermore, the UV photoresponse of the IGZO channel allows for systematic modulation of the inverter switching voltage (V_M) and small-signal gain with the incident UV intensity. Cascading the proposed inverter into three-, five-, and seven-stage ring oscillators yields stable rail-to-rail oscillation in which the oscillation frequency (f_osc) and the power consumption (P = C_L · V_DD² · f_osc · N) are tunable in real time by the UV intensity, realizing transparent light-to-frequency conversion at the circuit level. These results establish a route to low-power, see-through optoelectronic logic platforms that combine carbon-nanotube and oxide-semiconductor technologies on a common transparent substrate. Full article

Alkali-activated binders (AABs) represent eco-friendly alternatives to ordinary Portland cement. Nevertheless, the synergistic influences of calcium dosage and aluminosilicate stoichiometry on phase assemblage, gel nanostructure, and mechanical properties have not been fully elucidated. Herein, AAB samples with graded CaO contents were fabricated, and the co-regulatory mechanisms of CaO dosage and Si/Al molar ratio on compressive strength and microstructural evolution were systematically explored through compressive strength tests, XRD, TG-DTG, FTIR, and SEM-EDS. In addition, pure reference C-S-H and N-A-S-H gels were synthesized by using the sol–gel method for comparison with AAB pastes. The results reveal that CaO dosage acts as the primary parameter dictating gel phase transition and strength level, categorizing the prepared AABs into three distinct zones: low-calcium region (CaO < 10 wt.%), medium-calcium region (10–20 wt.%), and high-calcium region (CaO > 20 wt.%). Combined grey relational and partial correlation analyses clarify the collinearity-induced false correlations and reveal the stage-dependent independent effects of oxide molar ratios on AABs’ compressive strength. Low-calcium AAB matrices are dominated by N-A-S-H gel networks coexisting with abundant low-strength zeolite crystals, which deteriorate thermal stability and retard strength gain. Increasing CaO content triggers a progressive phase transformation from N-A-S-H gel to high-strength C-(A)-S-H gel. Abundant Ca-rich chabazite and C-S-H gel form in high-calcium systems, which fill internal pores and microcracks and greatly enhance matrix densification and thermal resistance. This work clarifies the multiscale regulatory mechanism of calcium species over gel polycondensation, crystalline phase development, and mechanical performance of AABs, offering fundamental theoretical guidance for the customized design and property optimization of high-strength alkali-activated binders. Full article

This study compared net photosynthesis (A), water-use efficiency (WUE), intrinsic water-use efficiency (iWUE), and A–${\mathrm{C}}_i$ curve-derived photosynthetic parameters (maximum carboxylation rate, $V_{\mathrm{cmax}}$; maximum electron transport rate, $J_{\max }$) across nine mangrove and semi-mangrove species at a tropical coastal site in Bali, Indonesia. Gas exchange measurements were conducted using portable photosynthesis systems (LI-6400 and LI-6800), and A–${\mathrm{C}}_i$ curves were fitted to the Farquhar–von Caemmerer–Berry (FvCB) model. Sonneratia alba Sm. exhibited the highest A (15.29 ± $2.39$ μmol ${\mathrm{m}}^{-2}{\mathrm{s}}^{-1}$), suggesting comparatively high photosynthetic performance, while Hibiscus tiliaceus L. and Pongamia pinnata (L.) Pierre showed the highest iWUE values (88–$97$ μmol ${\mathrm{mol}}^{-1}$), indicating relatively efficient carbon gain per unit stomatal conductance. Significant overall interspecific variation was detected in $V_{\mathrm{cmax}}$ and $J_{\max }$ ($p=0.003$ and $p=0.016$, respectively). The observed interspecific variation in A, iWUE, $V_{\mathrm{cmax}}$, and $J_{\max }$ suggests differences in photosynthetic characteristics and leaf-level water-use efficiency among species. These ecophysiological baseline data may contribute to species selection for mangrove restoration and to understanding physiological responses to environmental change in tropical coastal forests. Full article

Provision of cow–calf contact (CCC) in combination with pair housing may enhance welfare and stimulate greater intake of both milk and starter feed, thereby improving the performance and health of calves reared under cold conditions. This study was conducted to investigate the effects of combining partial daily CCC (5 h/d) with pair housing (19 h/d) in dairy calves reared in outdoor pens during winter, when the mean ambient temperature was 6.2 ± 0.4 °C throughout the study period. A total of 30 Holstein calves (birth weight = 37.4 ± 3.4 kg) were enrolled at birth. Fourteen calves received daily dam contact and were pair-housed (DC-PH), while the remaining 16 calves had no dam contact (NC); of these, 8 were pair-housed (NC-PH) and 8 were individually housed (NC-IH). Dam contact was maintained until day 60, after which all calves were weaned and group-housed until day 80. Milk consumption was greater in DC than NC calves (7.4 vs. 5.5 L/d). During the pre-weaning period, body weight and average daily gain did not differ between treatments. However, DC-PH calves had greater body weight at day 80 and higher average daily gain between days 60 and 80 than NC-PH calves (p = 0.01 and p = 0.02, respectively). Pre-weaning starter feed intake and feed efficiency did not differ across treatment groups. Dry matter digestibility was significantly greater in NC-PH than in NC-IH calves (87.7% vs. 81.4%; p = 0.03), but no significant effects were observed on NDF and DM digestibility between NC-PH and DC-PH calves. On day 54 (the pre-weaning phase), compared with NC-PH calves, DC-PH calves had higher blood glucose (p = 0.05), lower cortisol (p = 0.02), tended to have lower βHBA concentrations (p = 0.06), and a greater ruminal protozoal count on day 35 (p = 0.01). Total health score tended to be higher in DC-PH than NC-PH calves (p = 0.06) and was higher in NC-IH than in NC-PH calves (p = 0.05). During an 8-h behavioral recording prior to weaning, DC-PH calves were observed less frequently performing non-nutritive oral behaviors, such as licking the stall or fences and sucking on other calves, and tended to be more frequently standing, contacting other calves, playing alone, walking, and ruminating than NC-PH calves. After weaning, DC-PH calves were observed more frequently eating, resting, walking, and engaging in social interactions than NC-PH calves. Likewise, after weaning, NC-IH calves were observed more frequently playing, vocalizing, and walking, but less eating than NC-PH calves. Overall, our findings indicated that while social interaction (NC-IH vs. NC-PH) significantly improved dry matter digestibility and health, the addition of dam contact (DC-PH) maintained nutrient digestibility at levels comparable to NC-PH, but tended to reduce health status. Also, calves in the DC-PH treatment, which voluntarily consumed more milk than NC calves, exhibited greater post-weaning growth, more favorable behavioral responses, and improved pre-weaning metabolic profiles (lower cortisol and βHBA concentrations and higher blood glucose). These findings indicate that the partial dam contact management system, together with greater voluntary milk intake, was associated with enhanced post-weaning performance and metabolic status, as well as differences in rumen microbial development. However, as milk intake was not standardized across treatments, these responses cannot be attributed solely to maternal contact. Overall, under the conditions of this study, partial dam contact represents a feasible management strategy to support calf welfare and development, provided that appropriate environmental management is implemented to minimize disease risks. Full article

Single-UAV dense visual SLAM is often limited by long trajectory accumulation, incomplete local observations, redundant map growth, and onboard computation constraints. Collaborative mapping can distribute a large mission across several local submaps, but dense 3D Gaussian Splatting (3DGS) maps are expensive to exchange and individual Gaussian primitives are not reliable cross-agent matching units. This paper proposes G³M-SLAM, an anchor-guided Gaussian memory framework for UAV-oriented dense SLAM with representation-level submap fusion. Stable geometric anchors organize local Gaussian primitives and form a compact structural interface for submap exchange, overlap recognition, and correction. A hybrid feature-render tracking strategy combines sparse geometric constraints with Gaussian rendering residuals. A generative completion module predicts candidate Gaussians in weakly observed regions, while multi-view geometric verification and an evidence-aware lifecycle mechanism reject unsupported candidates and control redundant map growth. A dual-graph loop bundle adjustment couples the camera pose graph and the anchor memory graph so that corrections can be propagated to anchor-associated Gaussian structures. Experiments on Replica, ScanNet, TUM RGB-D, and EuRoC MAV evaluate local tracking, dense rendering, runtime, and a split-agent fusion protocol. In the latter protocol, fusion reduces ATE from 0.045 m to 0.031 m, translational RPE from 0.030 m to 0.017 m, and rotational RPE from $1.{56}^{°}$ to $0.{93}^{°}$. The serialized anchor packet is 0.66 MB, approximately $101.2\times$ smaller than the complete Gaussian submap. On Jetson AGX Orin, the full system processes EuRoC V101 and V103 at 1.49 FPS and 1.42 FPS, respectively, while ATE increases by only 0.001 m relative to the RTX 3090 Ti workstation results. These gains represent recovery from split-agent degradation and compact representation exchange rather than an improvement over full-sequence single-agent processing. The present study therefore evaluates a representation-level fusion interface and does not reproduce the full conditions of a field-deployed decentralized multi-UAV system. Full article

High-water-content dredged sludge is difficult to reuse in building foundation systems because its loose fabric, high void ratio and low initial bearing capacity may lead to inadequate construction-stage support and excessive service deformation. This study evaluates a self-developed RT mineral-based cementitious binder for converting dredged sludge into an engineered geomaterial for potential foundation-ground improvement materials. Unconfined compressive strength tests, full stress–strain responses, SEM observation, image-based pore-topology quantification and a fractal poromechanics model were integrated to link mix design, microstructural reconstruction and foundation-related performance. The RT binder generated rapid early strength in the high-water-content sludge. At 3 d, UCS increased from approximately 0.9 MPa at 3% binder dosage to 2.15 MPa at 11% dosage; the 8% mixture reached 1.34 MPa, exceeding the 1.0 MPa material-scale screening level adopted for comparing stabilized foundation-ground candidates. Strength at 8% dosage continued to increase with curing age, although the gain rate decreased after 7 d, indicating rapid early skeleton formation followed by slower structural maturation. Microstructural evidence showed that the improvement was not governed by pore filling alone. C-S-H-like gel phases wrapped and cemented soil particles, whereas needle-like crystals consistent with ettringite morphology bridged and interlocked interparticle spaces, transforming the originally loose sludge fabric into a continuous three-dimensional load-bearing skeleton. The pore area fraction decreased from approximately 51% in untreated sludge to 31.2% at 8% dosage, while the fractal dimension increased to 1.85–1.98. The proposed fractal poromechanics model predicted UCS within ±10% of measured values, confirming that skeleton continuity and pore-topology reconstruction are key descriptors of macroscopic hardening. These findings demonstrate that RT-stabilized dredged sludge is a promising material-scale candidate for building-foundation ground improvement, provided that project-specific bearing capacity, settlement, compaction and durability requirements are further verified. Full article

Obesity is a chronic metabolic disorder closely associated with dyslipidemia, insulin resistance, low-grade inflammation, and gut microbiota dysbiosis. Mulberry leaves are rich in bioactive proteins, but whether mulberry leaf albumin-type protein can improve diet-induced obesity remains unclear. In this study, ultrafiltered mulberry leaf albumin-type protein (UMP) was prepared and its anti-obesity effects were evaluated in high-fat diet (HFD)-fed C57BL/6J mice. UMP contained 87.12 ± 0.52 g/100 g protein, 2.52 ± 0.00 g/100 g polyphenols, and 8.21 ± 1.49 g/100 g polysaccharides, with two major albumin-type protein bands of approximately 14 and 52 kDa. Structural analysis showed that UMP was mainly composed of β-turns and α-helices. In HFD-fed mice, daily administration of UMP for 16 weeks reduced body weight gain by 3.85 g and 5.63 g in the low- and high-dose groups, respectively, without affecting food intake. Biochemical assays, glucose and insulin tolerance tests, and histological analysis showed that UMP improved insulin responsiveness, alleviated serum dyslipidemia, reduced hepatic lipid accumulation, and decreased circulating alanine aminotransferase, aspartate aminotransferase, and lipopolysaccharide levels. Histological analysis and nuclear magnetic resonance-based short-chain fatty acid quantification further showed that UMP protected colonic morphology and increased colonic short-chain fatty acid levels. Gut microbiota analysis showed that UMP restored microbial diversity, reduced the Firmicutes/Bacteroidota ratio, and enriched potentially beneficial genera, including Ileibacterium and norank_f_Muribaculaceae. Fecal biochemical assays suggested that UMP promoted fecal free fatty acid excretion and partially improved bile acid-related metabolic alterations. Untargeted serum metabolomics revealed that UMP reshaped metabolic pathways related to lipid turnover, bile acid signaling, glucose utilization, and glucuronidation. Correlation analysis linked UMP-enriched bacterial taxa with key metabolites involved in fatty acid and energy metabolism. Together, these findings indicate that UMP attenuates HFD-induced obesity through coordinated regulation of gut microbiota, intestinal metabolites, and systemic metabolic homeostasis. UMP may therefore represent a promising functional dietary protein for the prevention of obesity-related metabolic disorders. Full article

This study presents and evaluates a system-level optimization of an electrical resistance tomography (ERT) measurement platform based on a ZYNQ-7020 all-programmable system-on-chip (APS-SoC). The design combines deterministic programmable-logic (PL) acquisition, processing-system (PS) configuration and communication scheduling, AXI/DMA data movement, Gigabit Ethernet transmission, and a seventh-order Butterworth excitation filter. FFT-based amplitude extraction and Tikhonov reconstruction remain on the host computer so that the reconstruction algorithm and regularization settings remain identical for the baseline and proposed systems; the present prototype is therefore not claimed as a fully standalone smart sensor. Under the same 16-electrode tap-water testing configuration, the average frame rate increased from 58.23 ± 1.88 FPS to 123.02 ± 1.62 FPS (mean ± sample standard deviation, n = 10), end-to-end latency decreased from 5.2 ms to 2.1 ms, SFDR increased from 68 dB to 95 dB, and SSIM increased from 0.72 to 0.94. In one representative static hardware record at 160 kHz, the calculated amplitude-stability SNR values were 65 dB and 100 dB for the baseline and proposed excitation paths, respectively, while total harmonic distortion decreased from 15.2% to 7.5%. These single-condition signal quality values are descriptive rather than uncertainty-bounded performance specifications. The image-quality differences are attributed primarily to cleaner boundary-voltage measurements with an unchanged reconstruction method, whereas the frame-rate gain reflects the combined PL/PS data path and Gigabit Ethernet upgrade. Full article

Data movement has become a dominant bottleneck in modern artificial intelligence hardware, making in-memory computing a critical direction for energy-efficient and memory-centric architectures. Ferroelectric hafnium oxide provides a distinctive materials platform for this transition because field-driven polarization switching, non-volatility, CMOS compatibility, and nanoscale thickness scalability can be combined within a process-relevant oxide system. This review establishes a device-to-system perspective on HfO₂-based and Hf_0.5Zr_0.5O₂-based ferroelectric memories for in-memory computing. Instead of treating ferroelectric materials, memory devices, circuit primitives, and computing architectures as separate research topics, we examine how their mutual constraints define the achievable efficiency, precision, reliability, and scalability of hafnia-based computing systems. The discussion connects polarization engineering and defect control with charge-domain computation, threshold-state logic, associative search, analog weight representation, neuromorphic plasticity, and sensor-side processing. Particular emphasis is placed on the translation of ferroelectric functionality from individual devices to arrays, macros, and system-level accelerators. We identify variability, fatigue, charge trapping, multilevel-state uncertainty, peripheral overhead, and benchmarking inconsistency as the central barriers that prevent device-level advantages from directly becoming system-level gains. Finally, we outline a cross-layer roadmap in which ferroelectric stack engineering, variability-tolerant arrays, precision-scalable architectures, and SoC-level integration are co-optimized to enable reliable HZO-based memory-centric computing. Full article

The structural performance of reinforced concrete (RC) columns can be substantially improved by using advanced confinement systems and sustainable cementitious materials. This study presents an integrated experimental, numerical, and analytical investigation of RC columns strengthened with self-compacting geopolymer concrete (SCGC) and carbon fiber-reinforced polymer (CFRP) under axial compression. Twelve column specimens were tested across four groups: conventional RC columns, unconfined SCGC columns, SCGC-jacketed columns (CONF. SCGC), and CFRP-wrapped columns (CONF. FRP), in three cross-sectional geometries: square (177 × 177 mm), rectangular (265 × 177 mm), and circular (Ø200 mm). Experimental results demonstrated that replacing conventional concrete with SCGC improved deformation capacity, increasing the ultimate axial displacement from 2.07 mm in the reference square RC column (RC C1) to 3.21 mm in the corresponding square SCGC specimen (SCGC C1). On a normalized stress basis, the unconfined SCGC specimens achieved ultimate axial stress values of 56–64 MPa compared to 41–49 MPa for the RC reference columns of the same geometry, representing material-level strength gains of 1.30–1.49×. The application of external confinement further enhanced column behaviour. The CFRP-wrapped specimens achieved the highest material-level strength efficiency, with normalized ultimate axial stress values of 98–108 MPa for the square and rectangular geometries, representing gains of 2.01–2.41× over the corresponding unconfined RC columns of identical cross-section. The SCGC-jacketed specimens achieved the highest absolute load capacities, with CONF. SCGC C2 reaching 8270 kN and a maximum stiffness of 5531 kN/mm and energy absorption of 19,740 kN·mm. However, on a normalized stress basis, the SCGC-jacketed square and rectangular specimens achieved 45–47 MPa, comparable to the RC reference columns, confirming that their absolute load gains are primarily attributable to section enlargement rather than intrinsic material strength enhancement. The circular SCGC-jacketed specimen achieved a normalized stress of 43 MPa, consistent with the same trend. A three-dimensional nonlinear finite element model developed in ABAQUS using the Concrete Damaged Plasticity model and cohesive zone interactions showed close agreement with experimental results, with mean prediction ratios of 1.03 for ultimate load and 0.96 for displacement. An analytical model provided conservative estimates of axial capacity. The findings demonstrate that CFRP wrapping offers superior material-level confinement efficiency, while SCGC jacketing provides the highest absolute load capacity through combined section enlargement and passive confinement, representing a potentially more environmentally friendly strengthening strategy for existing RC columns. Full article

Alfalfa (Medicago sativa L.) hay is a high-quality legume forage, but most previous studies have evaluated a single fixed inclusion level or alfalfa as a replacement for other forages. How growth performance, nutrient digestibility, serum biochemistry, rumen fermentation and rumen microbiota jointly respond to graded alfalfa supplementation in growing Angus cattle remains undefined. The objective of this study was to determine the effects of two fixed supplementation levels of alfalfa hay (1 and 2 kg/day) on growth performance, apparent digestibility of nutrients, serum biochemical parameters, rumen fermentation characteristics and rumen microbial community composition in growing Angus cattle. Fifteen Angus (407.4 ± 34.15 kg; 11–14 months) were randomly distributed to the three treatments: control (C; basal TMR), low alfalfa (AlfL; 1 kg/d), and high alfalfa (AlfH; 2 kg/d), and fed for 70 days with 10 days of adaptation. Intake, body weight, nutrient digestibility, serum parameters, rumen fermentation and microbiota were determined. Feed-to-gain ratio was improved (p = 0.002) with AlfH (8.04) being more efficient than C (8.93). The digestibility of DM (p = 0.013) and CP (p = 0.001) were significantly increased. The rumen pH and NH₃-N tended to rise (p = 0.059 and 0.060, respectively) and acetate, propionate, and TVFA concentrations were significantly greater (p < 0.05) in the alfalfa groups. There was increase in serum total protein (p = 0.018) and serum GSH-Px activity (p < 0.001), and decrease in serum MDA (p < 0.001) in AlfH. The bacterial community structure in the rumen remained largely consistent across treatments, with Bacillota and Bacteroidota as the two dominant phyla, and only two low abundance phyla differing significantly, both higher in AlfH, Patescibacteria (p = 0.009) and Thermodesulfobacteriota (p = 0.003); the dominant phyla and genus level composition were unaffected. These findings provide new evidence that moderate supplementation with alfalfa hay can enhance nutrient utilization, rumen fermentation, and antioxidant status without adversely affecting metabolic health. From a practical perspective, supplementation with 2 kg/day of alfalfa hay may represent an effective feeding strategy for improving feed efficiency in growing Angus cattle, particularly in production systems relying on low-quality forage resources. Full article

Plant roots can modify soil mechanical behaviour through anchorage, interlocking, and stress-transfer mechanisms; however, the magnitude of this effect is not uniform and depends on the soil matrix in which the root system develops. This study evaluates the biomechanical reinforcement induced by Chrysopogon zizanioides (L.) Roberty roots in seven contrasting Andean soil matrices classified as CL-ML, MH, CH, OH, OL, CL, and ML. Bare-soil and Vetiver-rooted specimens were compared across three depth intervals: 0.00–0.50 m, 0.50–1.50 m, and 1.50–2.00 m. Shear-strength parameters were determined through direct shear tests under controlled normal stresses of 50, 100, and 200 kPa, and the relative amplifications of apparent cohesion (Δc) and internal friction angle (Δφ) were calculated. ANOVA, Tukey HSD post hoc tests, effect-size analysis, descriptive depth-dependent regression analyses, and shear-resistance sensitivity analysis were then applied to identify soil-dependent reinforcement patterns. The results showed that the mechanical contribution of Vetiver roots was primarily controlled by soil type. The highest relative cohesion amplification was obtained in OL soil, where Δc reached 100.0%, whereas the strongest friction-angle response was observed in CH soil, with Δφ reaching 20.1%. MH soil exhibited an intermediate and technically balanced response, combining moderate cohesion gains with relevant frictional improvement. One-way ANOVA screening indicated that soil type was the main differentiating factor controlling the Vetiver-induced response, while depth had a less dominant effect. Tukey HSD comparisons confirmed that OL exhibited a distinct cohesion-amplification pattern relative to the other soil matrices. These findings indicate that C. zizanioides root reinforcement should not be interpreted as a uniform plant effect but as a soil-matrix-dependent biomechanical response governed by root–soil interaction. The initial mechanical condition of the soil, rather than root content alone, determines whether Vetiver reinforcement is expressed primarily as a cohesion gain, a friction-angle gain, or a combined response. Because the statistical evidence is screening-level owing to the absence of replication within soil–depth cells, these patterns should support soil-specific interpretation rather than be applied as universal amplification factors. Full article

Background/Objectives: Obesity induced by high-fat high-fructose (HFHF) diets is associated with adipose tissue expansion, dysregulated adipogenesis, chronic low-grade inflammation, and oxidative stress. Bioactive compounds have emerged as promising nutritional strategies to mitigate these alterations, although their stability and bioavailability remain limiting factors. This study investigated the effects of different forms of jabuticaba (Plinia sp.) consumption—whole fruit, freeze-dried peel, and phenolic microencapsulated peel extract—on adipose tissue remodeling, oxidative stress, and metabolic parameters in HFHF-fed mice. Methods: Male C57BL/6 mice were fed an HFHF diet for six weeks, followed by six weeks of intervention with the jabuticaba formulations. Results: HFHF feeding induced significant metabolic alterations, evidenced by increased body weight gain, abdominal perimeter, Lee index, and fasting glucose levels. Jabuticaba intake, regardless of formulation, reduced abdominal perimeter, final body weight, and Lee index (p < 0.05) without affecting food intake. Treatment also improved metabolic biomarkers, reducing serum glucose, LDL cholesterol, and triglycerides, while increasing HDL cholesterol (p < 0.05). In addition, jabuticaba decreased visceral and total adipose tissue mass, attenuated adipocyte hypertrophy, and enhanced antioxidant defenses, leading to reduced oxidative damage in adipose tissue. Conclusions: All the jabuticaba formulations exerted protective metabolic effects; the whole fruit showed more consistent systemic metabolic improvements, whereas the microencapsulated peel extract demonstrated greater efficacy in modulating adipose tissue. Full article