Search Results (11,092)

Desertification is the impoverishment of fertile land, caused by various factors and environmental effects, such as temperature and humidity. An appropriate Internet of Things (IoT) architecture, routing algorithms based on artificial intelligence (AI), and emerging technologies are essential to monitor and avoid desertification. However, the classical AI algorithms usually suffer from falling into local optimum issues and consuming more energy. This research proposed an improved multi-objective routing protocol, namely, the efficient quantum (EQ) artificial rabbit optimisation (ARO) based on edge computing (EC) and a software-defined network (SDN) concept (EQARO-ECS), which provides the best cluster table for the IoT network to avoid desertification. The methodology of the proposed EQARO-ECS protocol reduces energy consumption and improves data analysis speed by deploying new technologies, such as the Cloud, SDN, EC, and quantum technique-based ARO. This protocol increases the data analysis speed because of the suggested iterated quantum gates with the ARO, which can rapidly penetrate from the local to the global optimum. The protocol avoids desertification because of a new effective objective function that considers energy consumption, communication cost, and desertification parameters. The simulation results established that the suggested EQARO-ECS procedure increases accuracy and improves network lifetime by reducing energy depletion compared to other algorithms. Full article

The blood–brain barrier and blood–spinal cord barrier (BBB/BSCB) are essential protective components for the healthy functioning of the central nervous system (CNS). While these barriers protect the CNS from peripheral factors, such as immune cells and blood products, they can become disrupted in pathological conditions and injury. The neurovascular unit (NVU) is composed of endothelial cells (ECs), pericytes, astrocytes, microglia, and neurons, all of which contribute to proper function and the maintenance of the BBB/BSCB. Tight junctions (TJs) unite cellular components and are modulated by both intrinsic and extrinsic factors. Systemic processes, such as pain (nociceptive activity), inflammation, and blood hemostasis, can impact BBB/BSCB function, often leading to a disrupted barrier and increased peripheral infiltration. This, in turn, can increase neuroinflammation and drive microglia activation, progressive hemorrhagic necrosis (PHN), and matrix metalloproteinase (MMP) activity. Targeting these processes and mitigating the deleterious effects of BBB/BSCB breakdown represents a key therapeutic target after neural injury and other pathological conditions. Full article

In the present study, the yield, chemical composition, and biological activities of Lavandula angustifolia flower essential oil (LAFEO) and leaves (LALEO) under different shade nets (pearl, red, blue) with 40% shading index compared with non-shading (control-open field) plants were investigated. The essential oil (EO) was isolated using a Clevenger-type hydrodistillation and the chemical composition of isolated EO was determined by GC/MS and GC/FID analyses. The antioxidant activity was determined using the DPPH and FRAP assay. The highest EO yield was recorded in flowers from plants grown under pearl shade nets (4.62 mL/100 g p.m.) and in leaves under red nets (0.99 mL/100 g p.m.). The lowest EO content occurred in plant leaves (0.50 mL/100 g p.m.) and flowers (3.17 mL/100 g p.m.) from non-shaded (control) plants. The composition of lavender EO depended on both plant part and light conditions. Among the 47–59 identified compounds in LAFEO, the major constituents were 1,8-cineole (27.4–32.2%), linalool (24.7–27.3%), borneol (18.0–21.9%), and camphor (7.5–8.6%). In LALEO, 55–65 compounds were identified, with 1,8-cineole (30.4–39.8%), borneol (21.9–26.5%), camphor (11.3–13.9%), and linalool (6.0–8.6%) as the dominant constituents. Flower samples from non-shaded (control) plants showed moderate antioxidant activity, with EC₅₀ values decreasing over time, indicating the highest activity among treatments tested. Conversely, plant leaves under pearl nets showed the lowest activity among samples, with an EC₅₀ value of 42.40 mg/mL at 120 min, still within the moderate antioxidant activity range. LALEO showed higher FRAP values than flower oils, confirming a stronger reducing capacity. The highest activity was found in plant leaves under red nets (0.72 mg EFe²⁺/g) and in non-shaded plants (0.68 mg EFe²⁺/g), while the lowest occurred in flower samples from red (0.28 mg EFe²⁺/g) and pearl nets (0.33 mg EFe²⁺/g). Unlike the FRAP results, the DPPH assay showed relatively higher activity in flowers compared to leaves, though all samples exhibited moderate antioxidant capacity. Shading significantly increased essential oil yield; however, the effects of different color nets on essential oil quality require further investigation, although preliminary results indicate a potential reduction in undesirable constituents. Full article

Conventional cigarette smoke and electronic cigarette vapor contain toxic compounds that may impair immune function, particularly in the spleen. This study evaluated histopathological changes in the spleen in male white rats (Rattus norvegicus, n = 32) divided into four groups: control, conventional-cigarette smoke (CCS), electronic cigarette vapor (ECS), and transitional cigarette smoke (TCS). The TCS group was sequentially exposed to CCS for 15 days followed by ECS for 15 days, with twice-daily exposure. Spleen tissues were analyzed semi-quantitatively using ImageJ and statistically using the Kruskal–Wallis test after Shapiro–Wilk normality testing. Comparisons among the four groups showed significant differences in necrosis (p = 0.025) and vascular degeneration (p = 0.027). In contrast, hemosiderin, congestion, stretching, and vacuolization parameters did not show statistically significant differences among groups (p > 0.05). These findings suggest that switching from conventional cigarettes to e-cigarettes does not protect against splenic damage and may exacerbate immune dysfunction due to cumulative toxic exposure. Full article

Lithium-ion batteries (LIBs) are essential for electric vehicles, consumer electronics, and grid storage, but their rapidly increasing demand is paralleled by growing waste volumes. Current disposal methods remain costly, complex, energy-intensive, and environmentally unsustainable. This pilot study investigates a scalable, low-impact disposal method by incorporating LIB waste into concrete, evaluating both the structural and environmental effects of LIB waste on concrete performance. Several cement–mortar cube specimens were cast and tested under compression using the cement–mortar mix with varying battery waste components, such as black mass and varied metals. All mortar mixes maintained an identical water-to-cement ratio. The compressive strength of the cubes was measured at 3, 7, 14, 21, and 28 days after casting and compared. The mix containing black mass exhibited a 35% reduction in compressive strength on day 28, whereas the mix containing varied metals showed a 55% reduction relative to the control mix without LIB waste. A case study was conducted to evaluate the combined structural and environmental performance of a concrete specimen incorporating LIB waste by estimating the embodied carbon (EC) for each mix and comparing the strength-to-net EC ratio. Selective incorporation of LIB waste into concrete provides a practical, low-carbon upcycling pathway, reducing both embodied carbon and landfill burden while enabling greener, non-structural construction materials. This sustainable approach simultaneously mitigates battery waste and lowers cement-related CO₂ emissions, delivering usable concrete for non-structural and low-strength structural applications. Full article

D-Tagatose is a rare sugar of interest as a low-calorie sweetener, and enzymatic isomerization of D-galactose is a practical production route. L-arabinose isomerase (L-AI; EC 5.3.1.4) is a promising catalyst for the above process, but many characterized L-AIs perform best at alkaline pH and high temperature and often require substantial divalent metal supplementation (e.g., Mn²⁺/Co²⁺), which complicates food-grade processing. Lactic acid bacteria (LAB) are attractive sources of food-compatible enzymes, yet structural information for LAB-derived L-AIs has been limited. Here, we report the 2.6 Å X-ray crystal structure of L-AI from Latilactobacillus sakei 23K (LsAI) and define its oligomeric assembly. Although the asymmetric unit contains a single monomer, crystallographic symmetry reconstructs a D₃-symmetric homohexamer composed of two face-to-face trimers, consistent with a higher-order assembly in solution. Interface analysis shows predominantly polar interaction networks, and normalized B-factor mapping reveals localized flexibility near active-site-proximal regions. These findings provide a structural basis for understanding LAB-derived L-AIs and support structure-guided engineering toward food-grade, low-metal biocatalysts for rare-sugar production. Full article

Background/Objectives: Injuries to spinal ventral roots induce complex retrograde reactions that compromise motoneuron survival, synaptic organization, and glial responses, ultimately limiting the potential for regeneration. The endocannabinoid system (ECS) has emerged as a crucial modulator of neuroprotective processes, primarily through the activation of CB1 and CB2. However, the individual and combined contributions of these receptors to post-injury spinal responses remain poorly understood. Here, we examined the effects of selective blockade of CB1 and CB2 receptors in a murine model of ventral root crush (VRC). Methods: Female C57BL/6JUnib mice received daily intraperitoneal injections of the CB1 antagonist AM-251 and/or the CB2 antagonist AM-630 (1 mg/kg) for 14 days post-lesion. At 28 days after injury, spinal cords were analyzed for motoneuron survival (Nissl staining), glial responses (immunohistochemistry for GFAP and Iba-1), and synaptic coverage (immunohistochemistry for synaptophysin). Results: Selective blockade of CB2 receptors led to a marked reduction in motoneuron survival, enhanced microglial activation-associated morphology (morphological classification and Sholl analysis), and decreased synaptic coverage. CB1 blockade produced milder, context-dependent effects. Dual blockade exacerbated all outcomes, indicating complementary CB1/CB2 functions in the spinal microenvironment. Conclusions: Under the conditions tested, CB2 signaling is necessary for motoneuron preservation, limiting microglial activation-associated morphology, and maintaining synaptic coverage after VRC. The knowledge of specific actions of CB1 and CB2 provides mechanistic insight into the neuroprotective potential of endocannabinoid signaling and reinforces its therapeutic relevance for motoneuron preservation and functional recovery after axotomy. Full article

The composition of air pollutants in industrial complexes differs from that of general urban areas, often containing more hazardous substances that pose significant health risks to both workers and residents nearby. In this study, PM_2.5 and its 29 chemical components (eight ions, two carbon species, and 19 trace elements) were measured and analyzed at five monitoring sites adjacent to the Yeosu and Gwangyang industrial complexes from August 2020 to December 2024. Chemical characterization and source identification were conducted. The average PM_2.5 concentration was 18.63 ± 9.71 μg/m³, with notably higher levels observed during winter and spring. A low correlation (R = 0.56) between elemental carbon (EC) and organic carbon (OC) suggests a dominance of secondary aerosols. The charge balance analysis of [NH₄⁺] with [SO₄²⁻], [NO₃⁻], and [Cl⁻] showed slopes below the 1:1 line, indicating that NH₄⁺ is capable of neutralizing these anions. Positive matrix factorization (PMF) identified eight contributing sources—biomass burning (10.4%), sea salt (11.8%), suspended particles (7.1%), industrial sources (4.6%), Asian dust (5.2%), steel industry (21.8%), secondary nitrate (16.4%), and secondary sulfate (22.7%). These findings provide valuable insights for the development of targeted mitigation strategies and the establishment of effective emission control policies in industrial regions. Full article

This research aims to assess and quantify the significance of incorporating the seismic performance of global and local engineering demand parameters (EDPs) within probabilistic frameworks when structural pounding of adjacent buildings occurs. For this purpose, the seismic performance of six-story and twelve-story reinforced concrete (RC) frames subjected to floor–floor pounding is assessed. The pounding is caused by an adjacent shorter and stiffer structure with the top contact point at the middle of the tall building’s total height. Displacement-based and ductility-based EDPs are evaluated at different performance levels (PLs) and at different separation distances (d_g). The seismic performance of the RC frames without considering pounding is also evaluated. Incremental dynamic analyses (IDAs) are performed, and probabilistic seismic demand models (PSDMs) are developed to establish the fragility curves of the examined RC frames. The probability of earthquake-induced pounding between adjacent structures is properly involved with the median value of S_a,T1 that corresponds to an acceptable capacity level (acceptable PL) of an EDP. The results of this study indicate that excluding structural pounding consequences from the probabilistic frameworks related to the seismic risk of colliding buildings leads to unsafe seismic assessment or design provisions. Full article

Soil salinization remains a critical constraint on global land sustainability, severely limiting agricultural output and ecosystem resilience. To address this issue, a field trial was implemented to investigate the interactive benefits of vermicompost (VC) and a novel soil conditioner derived from coal gasification slag-based soil conditioner (CGSS) in mitigating saline–alkali stress. The perennial forage grass Leymus chinensis, valued for its ecological robustness and economic potential under adverse soil conditions, served as the test species. Five treatments were established: CK (unamended), T1 (CGSS alone), T2 (VC alone), T3 (CGSS:VC = 1:1), T4 (CGSS:VC = 1:2), and T5 (CGSS:VC = 2:1). Study results indicate that the combined application of CGSS and VC outperformed individual amendments, with the T4 treatment demonstrating the most effective results. Compared to CK, T4 reduced soil electrical conductivity (EC) by 12.00% and pH by 5.17% (p < 0.05), while markedly enhancing key fertility indicators—including soil organic matter and the availability of nitrogen, phosphorus, and potassium. Thus, these improvements translated into superior growth of L. chinensis, reflected in significantly greater dry biomass, expanded leaf area, and increased plant height. Additionally, the T4 treatment increased soil microbial richness (Chao1 index) by 21.5% and elevated the relative abundance of the Acidobacteria functional group by 16.9% (p < 0.05). Hence, T4 treatment (CGSS: 15,000 kg·ha⁻¹; VC: 30,000 kg·ha⁻¹) was identified as the optimal remediation strategy through a fuzzy comprehensive evaluation that integrated multiple soil and plant indicators. From an economic perspective, the T4 treatment (corresponding to a VC-CGSS application ratio of 2: 1) exhibits a lower cost compared to other similar soil conditioners and organic fertilizer combinations for saline–alkali soil remediation. This study not only offers a practical and economically viable approach for reclaiming degraded saline–alkali soils but also advances the circular utilization of coal-based solid waste. Furthermore, it deepens our understanding of how integrated soil amendments modulate the soil–microbe–plant nexus under abiotic stress. Full article

Background: Chronic inflammation contributes to the development of lifestyle-related diseases, and dietary phytochemicals are recognized as important modulators of inflammatory responses. However, the synergistic anti-inflammatory effects of phytochemical combinations and their underlying mechanisms remain insufficiently understood. Methods: The anti-inflammatory activities of menthol (ME), 1,8-cineole (CI), β-eudesmol (EU), and capsaicin (CA) were evaluated in lipopolysaccharide (LPS)-stimulated RAW264.7 macrophages. Pro-inflammatory gene expression was quantified by quantitative PCR, intracellular Ca²⁺ signaling was assessed by calcium imaging, and the involvement of transient receptor potential (TRP) channels was examined using selective inhibitors. Synergistic effects were analyzed based on changes in half-maximal effective concentrations (EC₅₀). Results: All compounds suppressed LPS-induced pro-inflammatory genes, including tumor necrosis factor-alpha (Tnf) and interleukin-6 (Il6), in a dose-dependent manner, with CA showing the lowest EC₅₀ for Tnf expression (0.087 µM). Notably, combinations of CA with ME or CI exhibited strong synergy, reducing their EC₅₀ values by 699-fold and 154-fold, respectively, without cytotoxicity. These effects likely resulted from the synergic interaction between ME/CI-induced TRP-mediated signaling and CA-activated, TRP-independent signaling. Conclusions: Specific combinations of plant-derived functional components can markedly enhance anti-inflammatory efficacy, supporting dietary strategies that harness multiple phytochemicals for inflammation control and disease prevention. Full article

This paper presents a comprehensive analysis of different energy system configurations for Energy Communities (ECs) supplied by multiple renewable-based technologies, with a specific focus on solar solutions in the Mediterranean region. The authors have studied and then proposed the optimal aggregation of different end-user loads within possible energy system configurations (identifying the most adequate combination of prosumers, i.e., households, municipality offices, commercial activity, and others) in order to narrow the gap between peak/off-peak demand and renewable energy availability by also integrating energy storage technologies, and in order to pursue a sustainable energy transition in urban contexts proposing smart cities at low CO₂ emissions. The study demonstrates that increasing the complexity of the generation mix involves a tangible influence on self-sufficiency and self-consumption, as well as on the mitigation of CO₂ emissions. In fact, a more complex system configuration, including heat pumps and energy storage, allows for up to five months of 100% self-sufficiency and almost 100% self-consumption for the entire year. In terms of greenhouse gas emissions, relevant CO₂ reduction potential is possible, with up to 50% of CO₂ emission reduction, when heat pumps, solar cooling, and energy storage are installed. Full article

This study presents the development, calibration, and validation of cohesive zone models (CZMs) for epoxy-based adhesive joints connecting stainless steel and CFRP composites. The objective of this study is to develop and rigorously validate cohesive zone models for epoxy-based adhesive joints between stainless steel and CFRP composites, ensuring their reliability for numerical simulations of structural failure under quasi-static and large-deformation conditions. The work focuses on accurately describing the quasi-static behaviour and failure mechanisms of hybrid adhesive interfaces, which are crucial for multimaterial structures in modern transportation systems. Experimental tests in Mode I (DCB) and Mode II (ENF) configurations were performed to determine the cohesive parameters of the structural adhesive SikaPower 1277. The obtained data were further analysed through analytical formulations and validated numerically using PAM-CRASH. Excellent agreement was achieved between experiments, analytical predictions, and simulations, confirming the reliability of the proposed material definitions under large deformations. The validated models were subsequently implemented in a large-scale numerical simulation of a bus rollover according to UN/ECE Regulation No. 66, demonstrating their applicability to real structural components. The results show that the developed cohesive zone models enable accurate prediction of failure initiation and propagation in adhesive joints between dissimilar materials. These findings provide a robust foundation for the design of lightweight, crashworthy structures in transportation and open new perspectives for integrating epoxy-based adhesives into additively manufactured hybrid metal–composite systems. Full article

Hydrolyzed collagen (HC) and konjac glucomannan (KGM) were used as additives in non-frozen and frozen doughs (NFDs and FDs). Both additives were characterized using specific techniques, i.e., SEM-EDX, MALDI-TOF MS, TGA, and DSC analyses. Rheological analysis of NFD samples was performed using a Chopin Mixolab Profiler. According to a central composite design (CCD), two sets of twelve experiments were conducted to evaluate the influence of percentages of HC and KGM in the mixture of flour and both additives (c_HC = 0.79–2.21% and c_KGM = 0.79–2.21%) on the porosity (PO = 58.96–78.76%), humidity (HU = 42.51–45.60%), electrical conductivity (EC = 2.06–2.29 μS/cm), and pH (pH = 5.5–5.9) of bread samples prepared from NFD and FD. The freezing led to a significant decrease in PO and pH, as well as a significant increase in HU, whereas its effect on EC was not statistically significant. The highest values of response variables that were significantly affected by the process factors, i.e., PO_FD = 70.8%, pH_FD = 5.6, and pH_NFD = 5.9, were obtained in the center point runs (c_HC = c_KGM = 1.50%). For bread samples prepared from FD, the mold development process began approximately four days later than for those prepared from NFD. Bread samples produced from FD and NFD samples in the center point runs showed a low rate of mold formation. Full article

Soybean root rot caused by Rhizoctonia solani is a yield-limiting disease in Northeast China, particularly under continuous monoculture and cool climatic conditions. Despite its agronomic impact, the epidemiology and fungicide resistance profile of the pathogen remain inadequately characterized. In this study, a comprehensive survey conducted in Heilongjiang Province yielded 990 pathogenic isolates belonging to 11 fungal species. Among them, 55 strains were identified as R. solani based on combined morphological and molecular analyses. These isolates induced typical symptoms of root and stem browning with constriction. Pathogenicity tests on 30 R. solani isolates indicated that 83.3% were highly pathogenic. The pathogen exhibited a distinct geographic distribution, with the highest percentage of pathogen isolation recorded in Jiamusi (26.6%), which accounted for 61.8% of all R. solani isolates. In vitro fungicide sensitivity assays demonstrated that fludioxonil and prochloraz were highly effective (EC₅₀ < 0.0050 µg·mL⁻¹), whereas resistance was observed to tebuconazole, difenoconazole, pyraclostrobin, and carbendazim. Pot experiments confirmed that fludioxonil seed treatment (15 g a.i./100 kg seeds) provided superior control efficacy (63.07%) compared to prochloraz (46.85%). These findings establish R. solani as a dominant causal agent of soybean root rot in the region and support the prioritized use of fludioxonil for sustainable disease management. By elucidating the pathogenicity, distribution, and resistance patterns of R. solani, this study provides critical insights for controlling soybean root rot in cold-climate production systems and facilitates the development of targeted management strategies. Full article