Search Results (56,559)

Accurate node localization in wireless sensor networks (WSNs) is challenging under variable signal propagation and strict energy constraints. This paper presents a hybrid localization framework that combines a deep neural network (DNN) with particle swarm optimization (PSO) to improve accuracy while reducing energy consumption. The DNN learns the non-linear mapping from received signal strength indicator (RSSI) measurements to node coordinates, mitigating propagation effects. PSO jointly optimizes key DNN hyperparameters and selects a minimal subset of anchor nodes that preserve localization performance, thereby lowering communication overhead. Simulation results on 200-node networks show that the proposed DNN–PSO achieves a mean localization error (MLE) of 0.87 m, outperforming a standard DNN (1.32 m) and classical multilateration (3.84 m). The optimized anchor selection reduces per-cycle energy consumption by 23% (239 mJ to 184 mJ) while maintaining sub-meter accuracy. Performance remains stable across diverse propagation conditions and scales well with increasing network size. These results indicate that the proposed approach provides an effective accuracy–energy trade-off for resource-constrained IoT/WSN deployments requiring reliable localization. Full article

Gut microbiota dysbiosis is implicated in metabolic disorders, yet taxonomic and functional alterations in canine diabetes remain incompletely defined. Here, we performed shotgun metagenomic sequencing of fecal samples from 38 diabetic dogs and 37 healthy controls under controlled conditions (no recent antibiotic/probiotic exposure and stable commercial diets). Alpha-diversity indices did not differ between groups, whereas beta-diversity revealed significant separation of community structure at both genus and species levels (p < 0.05). Linear discriminant analysis effect size (LEfSe) identified enrichment of opportunistic-associated taxa in diabetic dogs, including Enterobacterales/Enterobacteriaceae (e.g., Escherichia coli, Klebsiella pneumoniae, Salmonella enterica) and Enterococcus faecalis. In contrast, healthy dogs were enriched for putatively beneficial taxa linked to bile acid and short-chain fatty acid (SCFA) metabolism, including Turicibacter spp. and Romboutsia spp. Functional profiling showed higher abundances of pathways related to carbohydrate/energy metabolism, membrane transport, and virulence/colonization in diabetic dogs; 17 KEGG level-3 pathways and 320 KOs differed at FDR < 0.05, with enriched modules including bacterial secretion systems, lipopolysaccharide biosynthesis, chemotaxis/flagellar assembly, and biofilm formation. Collectively, canine diabetes is associated with a remodeled gut microbiome characterized by expansion of opportunistic pathogens and elevated virulence and metabolic potential, supporting exploration of microbiota-targeted strategies as a complement to conventional management. Full article

Low Earth orbit (LEO) satellite networks require real-time routing to cope with dynamic topology variations caused by continuous orbital motion. As an alternative to conventional routing approaches, deep reinforcement learning (DRL) has recently gained attention as an effective means for optimizing routing paths. To solve routing problems modeled as a grid-based Markov decision process (grid-based MDP), DRL methods such as CNN-based Dueling DQN have been proposed. However, these approaches are difficult to implement in practice. In particular, the substantial floating-point computation and memory traffic of CNN inference make real-time onboard inference challenging under the stringent power and resource constraints of satellite platforms. To address these constraints, this paper proposes an INT8 quantization and hardware–software co-design framework using heterogeneous SoC FPGA acceleration. We offload compute-intensive CNN inference to the programmable logic (PL), while the processing system (PS) orchestrates overall control and data movement, forming a collaborative PS–PL architecture. Furthermore, we integrate the NITI-style two-pass scaling with PS–PL exponent propagation to preserve end-to-end integer consistency without floating-point conversion. To demonstrate its practical onboard feasibility, we employ standard accelerator implementation choices—such as output-stationary scheduling and on-chip prefetching—and conduct an ablation study over independently tunable axes (PE array size and PS-side buffer reuse) to quantify their incremental contributions. Experimental results show that the proposed PS–PL cooperative scheme dramatically reduces computation time compared to a PS-only reference implementation on the same platform. Full article

Background/Objectives: Curcumin (CUR) has shown promising potential as a wound-healing agent for diabetic wounds; however, its efficacy is hindered by poor aqueous solubility and limited skin permeability. To overcome these limitations, CUR was loaded into myrrh oil-based nanoemulsions (NEs). Methods: The NEs were optimized using a three-factor two-level D-optimal mixture design, and characterized for droplet size, polydispersity index, and zeta potential. The optimized NE was subjected to various stability testing and incorporated into a gel base containing insulin (INS) to form CUR-INS nanoemulgel (CUR-INS-NEG). The antibacterial efficacy of CUR-INS-NEG was tested against various bacterial strains, while its wound-healing effects were evaluated in a diabetic rat wound model. Results: The surfactant/co-surfactant concentration had a greater influence on the NE properties than the oil and aqueous phase concentrations. The optimal NE had a droplet size of 155.2 ± 0.8 nm, a polydispersity index of 0.28, and a zeta potential of −31.4 ± 0.8 mV. It demonstrated sustained drug release, with further release control upon incorporation into the gel base. CUR-INS-NEG demonstrated higher in vitro antibacterial efficacy compared with blank NEG, CUR gel, and INS gel. It also showed 2- and 4-fold reduction in the MIC against S. aureus and E. coli, respectively, compared with CUR gel. In a diabetic wound model, CUR-INS-NEG outperformed both CUR gel and INS gel by enhancing anti-inflammatory and antioxidant effects, as well as collagen deposition and endothelial cell proliferation. Conclusions: The CUR-INS-NEG emerges as an effective system for diabetic wound management, delivering complementary anti-inflammatory, antioxidant, and tissue-regenerative effects of myrrh oil, CUR, and INS. Full article

Bee pollen is a natural product with multifunctional properties, containing abundant bioactive compounds, especially phenolic acids and flavonoids, which are largely responsible for its antioxidant and antimicrobial activities. In this study, the bioactive composition, antioxidant capacity, encapsulation efficiency, antimicrobial activity, and gastrointestinal stability of bee pollen extract (PE) were investigated. The pollen extract exhibited high total phenolic (2817 mg GAE/100 g) and flavonoid contents (5255 mg QE/100 g), along with strong antioxidant activity (DPPH: 4305 mg TE/100 g; CUPRAC: 3685 mg TE/100 g). To improve the stability and bioaccessibility of phenolic compounds, PE was encapsulated using β-cyclodextrin (BCD) at different weight ratios. Among the formulations, the PE:BCD ratio of 1:2 showed the highest encapsulation efficiency (64%) and favorable physicochemical properties, including higher particle size and more negative zeta potential values, indicating good colloidal stability. Antimicrobial activity was evaluated for PE, BCD-only, and the selected PE-loaded formulation (1:2, w:w). Encapsulation led to a modest reduction in antimicrobial activity compared to free PE (6.25–50 mg/mL); however, the encapsulated formulation still exhibited considerable antibacterial effects against both Gram-positive and Gram-negative strains (25–50 mg/mL). Furthermore, in vitro gastrointestinal digestion indicated that BCD encapsulation substantially enhanced the bioaccessibility of total phenolics (81%) and antioxidant capacity (DPPH: 48%; CUPRAC: 76%), particularly during the intestinal stage. Phenolic profiling showed that chlorogenic acid and quercetin derivatives remained relatively stable throughout digestion. Overall, encapsulation with BCD effectively safeguarded pollen phenolics, improved their gastrointestinal stability, and increased bioaccessibility, highlighting the potential of encapsulated bee pollen as a functional food ingredient or nutraceutical. Full article

To investigate the mechanical performance and failure modes of Prestressed Concrete Cylinder Pipe (PCCP) bell-and-spigot joints under conditions such as differential settlement, this study conducted a full-scale rotation test on a DN1400 PCCP joint and established a three-dimensional non-linear finite element model using ABAQUS. The experimental results indicate that when the relative rotation angle reaches approximately 1.92°, the primary failure mode is the slipping of the rubber gasket from the spigot groove, leading to sealing failure. Meanwhile, the strains in the concrete, mortar coating, and prestressing wires at the joint increase significantly with the rotation angle. The finite element simulation results align well with the experimental data, with an average error of 1.88%. Based on the validated model, a parametric analysis was performed on PCCP joints with diameters ranging from 1400 mm to 4000 mm. The study determined the ultimate relative rotation angle for different diameters based on the concrete visible crack criterion and revealed a significant size effect, characterized by a decrease in the ultimate rotation angle with increasing pipe diameter. These findings provide a theoretical basis for the design, construction, and safety assessment of PCCP pipelines. Full article

Sunscreens are essential for photoprotection, but conventional inorganic UV filters raise concerns regarding marine toxicity. This study investigated hydroxyapatite (HAp) derived from skipjack, tongol, and salmon bone waste as a potential synergistic booster for Tinosorb^® S (TS). HAp powders were prepared via alkaline treatment and calcination at 900 °C. XRD and XRF results confirmed highly crystalline HAp as the dominant phase. While 10% HAp alone provided negligible UV protection, a pronounced synergistic effect was observed in 1:1 hybrid formulations (5% HAp:5% TS), significantly enhancing Sun Protection Factor (SPF) and Ultraviolet A Protection Factor (UVAPF). Notably, particle-size refinement of salmon-derived HAp (SM–HAp) yielded an SPF of approximately 35, comparable to a commercial HAp counterpart. This improvement was suggested to be associated with enhanced dispersion, film uniformity, and particle–matrix interactions, which might contribute to achieving PA++++ protection. All formulations complied with microbiological and heavy metal safety standards. These results indicated that fish bone-derived HAp could potentially serve as a viable and sustainable functional additive derived from marine biowaste for the development of high-performance hybrid sunscreens, promoting biomaterial valorization in the cosmetic industry. Full article

To reveal the energy transfer mechanism of water injection and the dynamic response characteristics of pore pressure in tight sandstone reservoirs, and to clarify the influence of lithology, injection pressure, and injection method on the energy enhancement effect of water injection, a high-pressure energy injection and response testing system and nuclear magnetic resonance (NMR) testing technology were used to conduct systematic water injection energy enhancement experiments on three rock types: mudstone, sandstone, and naturally fractured sandstone. Combined with pressure dynamic monitoring and pore structure evolution analysis, the pressure response characteristics and energy enhancement mechanism of rock samples under different experimental conditions were explored. The experimental results showed that the NMR T₂ distribution of the three rock samples exhibited bimodal characteristics, corresponding to small pores (pore size < 1000 nm) and large pores/microcracks (pore size > 1000 nm), respectively. There were significant lithological differences in the evolution of pore structure during water injection, with a cumulative decrease of 7.2% in the proportion of large pores in mudstone and an increase of 9.3% in the proportion of large pores in sandstone with natural fracture development. There is a positive correlation between injection pressure and the energy enhancement effect. Under an injection pressure of 40 MPa, the pressure increment at the outlet end of sandstone with natural fracture development reaches 8.06 MPa, and the energy enhancement effect is 24% higher than that under the 30 MPa working condition, while the mudstone only increases by 15%. The energy enhancement effect of intermittent water injection is significantly better than that of depleted water injection, and the energy enhancement effects of the three rock samples are increased by 18.6%, 12.0%, and 6.9%, respectively. Overall, sandstone with natural fractures has the best energy enhancement effect, followed by sandstone, and mudstone has the worst. The connectivity of pores and the degree of fracture development are the core factors that dominate the water injection energy enhancement effect and pressure transmission efficiency. The research results can provide reliable experimental basis and theoretical support for optimizing water injection development plans, improving energy efficiency, and dynamically regulating stress fields in tight sandstone reservoirs. Full article

Background: Myocardial infarction (MI) is the leading cause of morbidity and mortality globally. A major pathological progression of MI is the excess generation of reactive oxygen species (ROS), which results in oxidative stress and damage to the ischemic heart. Because damage to the myocardium is irreversible, the development of new therapeutic agents that can decrease the degree of ischemic damage following MI is crucial. The traditional Chinese medicine formulation, Qishen Yiqi dropping pills (QSYQ), has been clinically used in the treatment of various cardiovascular diseases; however, the precise mechanisms underlying its therapeutic effects remain unelucidated. Methods: In this study, we established murine models of MI via coronary artery ligation to investigate the protective effects and mechanisms of QSYQ following MI. Results: The administration of QSYQ significantly improved cardiac function, reduced infarct size, and attenuated ventricular remodeling in mice that underwent MI. Moreover, MI-induced oxidative stress and downregulated levels of antioxidant enzymes were prevented in mice administered QSYQ via upregulating the SIRT3/FOXO3a signaling pathway. Importantly, pretreatment with a selective SIRT3 inhibitor 3-TYP abolished the cardioprotective effects of QSYQ. Conclusions: Our findings elucidate the role and mechanism of QSYQ in protecting against oxidative damage and restoring redox homeostasis following myocardial infarction. This study provides support for the therapeutic potential of QSYQ in the clinical treatment of myocardial ischemic diseases. Full article

As an effective technical approach for ecological environment protection in mining areas and coal resource recovery under buildings, railways and water bodies, solid backfill coal mining technology has been widely applied. When gangue was used as backfill material and placed into the goaf, its compression characteristics and crushing behavior were found to directly affect the control effect of overlying strata deformation. In this study, combined with the compression characteristics of gangue solid waste backfill materials, eight kinds of gangue solid waste backfill materials with different particle size gradations were adopted as research objects. From the perspectives of stress–strain compaction characteristics, the coupling relationship between internal crushing and acoustic emission (AE), relative density in the compacted state and particle size distribution, the hierarchical crushing behavior, and the AE response characteristics of gangue solid waste backfill materials under different gradation schemes were systematically revealed, and the optimal gradation parameters for different layers were determined. The results showed that the compaction process of gangue solid waste backfill materials could be divided into three stages: initial compression, rapid compaction and plastic compaction. During the compaction process, internal crushing was mainly concentrated in the middle layer. In the initial stage of the test, the AE intensity of the middle layer was measured to be higher than 78%, and the AE intensity remained above 50% in the compacted state. When the specimen was compressed to 220 mm, all eight gradation schemes exhibited the characteristic that the proportion of locating points and energy level in the middle layer were much higher than those in the upper and lower layers. With the continuous increase in axial pressure, the intensive area of crushing events was observed to migrate in the order of middle layer → upper layer → lower layer. With the continuous increase in axial pressure, the intensive area of crushing events was observed to migrate in the order of middle layer → upper layer → lower layer. The findings obtained in this study have provided a theoretical basis and experimental support for the gradation optimization of gangue solid waste backfill materials and roof deformation control in solid backfill coal mining engineering. Full article

This study investigated the characteristics and bioactive properties of olive oils obtained from regional Nizip Yaglik (NY) and Kilis Yaglik (KY) olive varieties, encapsulated using maltodextrin (MD) and whey protein isolate (WPI) as wall materials. Olive oils were first emulsified with different WPI–MD ratios (1:1, 1:4, 1:10) and subsequently freeze-dried to produce microcapsule powders. A comprehensive evaluation was conducted, including physicochemical properties (encapsulation efficiency, moisture content, water activity, bulk density, flowability, wettability, particle size, and color), FTIR spectral profiles, morphological features, total phenolic content, and antioxidant activity. The results demonstrated that combining WPI with MD yielded high encapsulation efficiency and favorable reconstitution characteristics, effectively protecting sensitive bioactive constituents from oxidative degradation during processing and storage. Increasing the proportion of MD in the wall matrix improved emulsion stability and microencapsulation yield, while also slightly enhancing powder brightness. FTIR analyses confirmed that the fundamental chemical structure of olive oil was preserved across all formulations. The freeze-dried microcapsules displayed superior stability relative to non-encapsulated oils, retaining higher levels of phenolic compounds and antioxidant capacity. Among the formulations, elevated MD ratios enhanced powder flowability, whereas WPI played a crucial role in emulsification performance and capsule surface integrity. Overall, these findings underscore the effectiveness of MD–WPI blends as promising wall materials for the freeze-drying encapsulation of regional olive oils, offering a viable strategy to preserve their distinctive qualities and bioactive potential for functional food applications. Full article

Compact city policies have been promoted as a mechanism for improving commuting efficiency through higher density and spatial concentration. However, their effectiveness in small and medium-sized cities that experience population decline, such as in small and medium-sized cities in South Korea remains unclear. This study examines how urban compactness and employment spatial structure influence commuting time across different urban contexts in South Korea, with particular attention to contrasts between the Seoul Capital Region and non-capital cities. Using the 2021 Korean Individual Travel Survey, we examine multilevel mixed-effects models that link individual commuting trips to neighborhood-level built environment characteristics and city-level employment spatial structure. The findings reveal systematically different effects of residential and employment density on commuting times. Higher residential density is generally associated with longer commuting times, whereas higher workplace employment density reduces commuting time only in non-capital regions. In the Seoul Capital Region where urban form is already highly compact, further employment densification does not improve commuting efficiency and may even increase commuting time. Instead, shorter commutes are observed primarily where job–housing balance is relatively high and employment is strongly concentrated in a dominant center. Moreover, the contrasting effects of employment Moran’s I and the employment concentration index indicate that employment dominance and spatial clustering capture distinct dimensions of urban spatial structure, with commuting efficiency depending critically on the internal configuration of employment clusters rather than density alone. These findings suggest that, in shrinking cities, compact city policies should be reframed not as strategies of residential densification, but as strategies of functional consolidation, focusing on sustaining viable employment cores and aligning them with transport networks and residential areas. Full article

Water purification by adsorption of various pollutants using carbon adsorbents with different characteristics has proven to be an effective method that is often used in purification technologies. In this work, a new method for obtaining a carbon adsorbent with a wide pore size and high surface area has been developed, particularly for the adsorption of bacterial cells. The characterization of the porous texture, the chemical nature of the surface, the structure, and the chemical composition of the obtained adsorbent is studied. The study demonstrates that the hierarchical macroporous structure of the macroporous carbon adsorbent (MCA) is highly effective for the physical sequestration of Escherichia coli from aqueous solutions. The high removal efficiency (86.4%) suggests that this material is a promising candidate for water purification and point-of-use filtration systems, where physical immobilization of pathogens is required. Full article

In the dynamic flexible job shop scheduling problem (DFJSP) where the environment changes irregularly, priority rules are used to calculate priorities for each job and machine, determining the processing order. To achieve efficient scheduling, it is necessary to select appropriate priority rules that match the problem’s characteristics whenever the environment changes. To address such problems, Genetic Programming (GP) has been proposed to derive mathematically expressed priority rules. Various GP-based methods exist, among which Population-based Fluctuation GP (PF-GP) is an efficient technique that reuses individuals adapted to problem characteristics. However, optimizing the DFJSP using PF-GP requires significant computational cost. Therefore, methods have been developed to adaptively change the population size for more efficient resource utilization. This paper modifies the adaptive population size change into a population growth method designed to balance scheduling performance and computational efficiency in the DFJSP. By applying this proposed method to various scheduling problems, this paper investigates its effectiveness. Furthermore, this paper compares population growth methods and demonstrates that the proposed method addresses conventional issues in existing population adjustment techniques, enabling the more efficient utilization of computational resources. Full article

To address the critical challenge of drilling fluid invasion in deep coalbed methane (CBM) reservoirs, this study provides novel insight into the micro-scale sealing mechanism and pore structure evolution by leveraging Low-Field Nuclear Magnetic Resonance (LF-NMR) as a quantitative probe. Unlike traditional macroscopic evaluations, we utilized dynamic NMR T₂ spectral analysis to decipher the synergistic behavior of a proposed “Bridging–Filling–Densifying” ternary sealing system, which integrates a nano-plugging agent, micro-fillers, and size-matched skeletal agents. The results demonstrate a significant improvement in sealing efficiency. The optimized hierarchical architecture reduced the NMR signal intensity of the invaded cores by over 99.8% under a differential pressure of 10 MPa, effectively eliminating fluid invasion channels. Crucially, the study reveals that while multi-scale particle size matching is the precondition for sealing, the mechanical rigidity of the skeletal particles is the determinant for maintaining filter cake integrity against high-pressure deformation. These findings elucidate the transition from a “macropore-dominated” structure to a “zero-detectable” sealed state, establishing a robust theoretical framework for designing non-damaging drilling fluids tailored to the complex geomechanics of deep CBM exploration. Full article