Search Results (2,431)

This study provides a comprehensive evaluation of waste-to-energy (WtE) technologies in Saudi Arabia, focusing on municipal solid waste (MSW) across various cities, in alignment with Saudi Vision 2030. Saudi Arabia generates approximately 16 million tons of MSW annually, primarily composed of organic matter (37–57%), followed by paper (11–28%) and plastics (5–36%). According to Vision 2030 projections, MSW generation is expected to increase to approximately 30 million tons per year by 2033, driven by population growth, urbanization, and increased tourism activities. Waste quantities notably increase during the Hajj and Ramadan seasons. The study assesses three main WTE technologies: biochemical, chemical, and thermochemical processes. Anaerobic digestion (AD) effectively converts organic waste into biogas with a methane content of 60% to 80%, potentially yielding up to 2.99 TWh annually. Transesterification efficiently targets fats in waste, generating around 244.2 GWh per year. Thermochemical processes, including incineration, gasification, and pyrolysis, are suitable for high-calorific waste. Incineration can significantly reduce waste volume and generate up to 2073 MW while lowering GHG emissions. Economic assessments reveal that biochemical methods are the most cost-effective for managing organic waste, while thermochemical methods, despite higher capital costs, achieve significant energy recovery. Integrating WTE technologies with recycling is crucial for enhancing environmental sustainability and supporting Saudi Arabia’s Vision 2030 objectives. Full article

This work presents Recurrence with Correlation Network(RWCNet), a novel multi-scale recurrent neural network architecture for medical image registration that integrates core principles from optical flow, including correlation volume computation and inference-time instance optimization. In evaluations on the large-displacement National Lung Screening Test (NLST) dataset, RWCNet exhibited superior performance (total registration error (TRE) of 2.11 mm) compared to other deep learning alternatives, and achieved results on par with variational optimization techniques. In contrast, on the OASIS dataset, which is characterized by smaller displacements, RWCNet achieved an average Dice similarity of 81.7%, representing only a modest improvement over other multi-scale deep learning models. Ablation experiments showed that multi-scale features consistently improved performance, whereas the correlation volume, number of recurrent steps, and inference-time instance optimization had large impacts on performance within the large-displacement NLST dataset. The performance of RWCNet compared to approaches that use instance optimization show that deep learning-based methods can find local minima that escape instance optimization methods. The results highlight the need for algorithm hyperparameter selection that adjusts with the dataset characteristics. RWCNet’s promising results may improve registration accuracy and computation efficiency, enabling many potential applications such as treatment planning, intra-procedural guidance, and longitudinal monitoring. Full article

Mowing is a widely used agricultural management practice, yet its role in shaping plant–insect interactions remains largely unexplored. In this study, we investigated how mowing influences resistance of licorice (Glycyrrhiza uralensis) to the whitefly Bemisia tabaci by integrating behavioral assays with volatile analysis, transcriptomics, and metabolomics. Feeding preference assays showed that adult whiteflies strongly preferred new plants over mowed plants. Developmental assays further revealed that whiteflies exhibited a prolonged egg stage and extended egg-to-adult developmental duration on mowed plants, while adult longevity was not significantly affected. Gas chromatography–mass spectrometry analysis identified 31 volatile compounds in licorice, with alcohols dominating the volatile profile of new plants and terpenoids dominating that of mowed plants. Whitefly infestation significantly increased ester compounds in both plant types. Differential volatile analysis highlighted cis-3-hexen-1-ol and trans-3-hexen-1-ol as dominant compounds in new plants, whereas 3-carene and β-pinene were predominant in mowed plants. Transcriptomic analysis revealed that mowing primarily affected genes associated with primary metabolism and ribosome-related pathways, whereas whitefly infestation induced extensive transcriptional reprogramming, including activation of flavonoid biosynthesis, flavone and flavonol biosynthesis, MAPK signaling, and plant circadian rhythm pathways. Metabolomic profiling identified substantial accumulation of flavonoids, flavonols, and isoflavonoids following whitefly feeding. Integrated multi-omics analysis identified flavonol biosynthesis as a core pathway underlying licorice defense against B. tabaci. Overall, this study demonstrates that mowing primes G. uralensis for enhanced resistance to whitefly infestation by reshaping volatile emissions, activating secondary metabolite biosynthesis, and inducing coordinated defense signaling networks. These findings provide new insights into plant–insect interactions and highlight mowing as a potential component of sustainable pest management strategies. Full article

A study on the sources, bioconcentration, and translocation of heavy metals in Haloxylon ammodendron in the Eastern Junggar Coalfield, Xinjiang, China, was conducted and evaluated. The quantities of Pb, Cd, and Cr were 1.2, 22.5, and 1.9 times higher than the baseline values of Xinjiang soils, respectively. The mean concentrations of these heavy metals in the rhizosphere soil of Haloxylon ammodendron were 48.81, 17.74, 93.25, 3.32, 29.05, and 26.95 mg/kg. The exceedance rates for Cd, Cr, and Pb in bare soil were 100%, 99.03%, and 75.73%, respectively, indicating significant accumulation of heavy metals, with Cd demonstrating the highest enrichment degree. Most sampling sites showed moderate pollution according to the Pollution Load Index (PLI). Meanwhile, the Pollution Index (PN) indicated elevated pollution levels at all the sampling sites, with Cr identified as the first contaminant. The absolute principal component score–multiple linear regression (APCS-MLR) model revealed three principal sources of heavy metal pollutants in soil: 44.2% from natural processes and mining activities, 22.7% from industrial coal combustion and sewage, and 33.1% of undetermined origins. The bioconcentration factors (BCFs) and translocation factors (TFs) revealed Haloxylon ammodendron to have clear accumulation and translocation abilities with respect to these heavy metals. The fuzzy membership function showed that the overall assessment score for Haloxylon ammodendron was 9.1325, indicating the substantial remediation potential of Haloxylon ammodendron for heavy metal pollutants, especially for Cd. Furthermore, Haloxylon ammodendron demonstrated substantial Pb and Cr accumulation and remediation ability. Haloxylon ammodendron exhibited remarkable heavy metal accumulation and translocation abilities, making it a suitable tool for phytoremediation in the study area. The findings of this study will prove useful in promoting and implementing sustainable mining practices and safeguarding regional ecological security and may contribute to advancing local ecological conservation and social economic development. Full article

Against the global push for “carbon peak and carbon neutrality” and Xinjiang’s role as a major arid-region agricultural base in China, balancing agricultural development with low-carbon transitions remains challenging due to its fragile ecology and resource-intensive farming. However, county-scale dynamics of cultivated land carbon emission intensity (CEI) and its drivers in Xinjiang are understudied, limiting targeted mitigation. This study analyzed Xinjiang’s cultivated land CEI (2000–2020) using the Geographically and Temporally Weighted Regression and Stochastic Impacts by Regression on Population, Affluence and Technology (GTWR-STIRPAT) model, geodetector, and spatiotemporal analysis, with counties as units. Data included 30 m-resolution land use data and socioeconomic statistics. Results showed CEI rose from 0.270 to 0.377 t/hm², with marked spatial differences: northern Xinjiang saw fluctuating growth and a 58.65 km northeastward shift of emission gravity, while southern Xinjiang had lower western CEI (ecological constraints) and higher eastern CEI (agricultural expansion). Key drivers were total sown area (TSAC), agricultural film usage (UAPF), and rural agricultural population (RAP). Factor interactions (machinery power × sown area, q = 0.844) non-linearly amplified CEI. The GTWR-STIRPAT model (R² = 0.97) outperformed OLS and captured heterogeneity—mechanization/area expansion dominated northern CEI, while film use/population mattered more in the south. Region-specific strategies are needed: northern Xinjiang should optimize machinery energy and control area expansion; southern Xinjiang, strengthen ecology and promote low-carbon inputs; eastern Xinjiang, leverage efficient oasis agriculture. This study supports precise carbon management in Xinjiang and similar arid regions globally. Full article

Phytoliths, pollen, and spores in a stratigraphic sequence from the Shishan Wetland (Azraq Basin, Jordan) and supported by modern pollen and phytolith data provide information on vegetation, climatic trends, and the influence of fire through MIS 2 and MIS 1. Additionally, a pilot study introduces an innovative approach that uses shape and morphometric parameters of Bulliform phytoliths to assess hydro-climatic changes. The phytolith terrestrial–aquatic ratio, grass–pollen size, and the Artemisia–Amaranthaceae ratio (A:C) indicate that during the Last Glacial Maximum (LGM), the study area was a wetland surrounded by steppe, and that during the deglaciation period (c. 20–11 ka), the wetland vegetation remained almost unchanged but the surrounding area tended to aridity. The phytoliths’ terrestrial ratio, the presence of C₄ grass phytoliths, and the low A:C is characterized by a reduced wetland and the establishment of a hot desert, like the present. The record at Shishan Marsh shows effective moisture trends concurrent with other records in the western southern Levant, but climatic events (Heinrich Stadial 1 and Younger Dryas) are not recorded because of the low time-resolution of the studied sequence. This study shows that combining pollen and phytoliths strengthens vegetation reconstruction by discerning local from regional floristic components and that Bulliform phytoliths are a potential tool to reconstruct hydro-climatic conditions. Full article

Remote sensing images (RSIs) are frequently degraded by atmospheric haze, which introduces color distortion and contrast reduction, thereby impeding downstream applications. Existing models often struggle with non-uniform haze distributions, high computational costs, and the loss of local texture details. To address these challenges, this paper proposes a lightweight Feature Self-Recalibration Network (FSRNet) for efficient remote sensing image dehazing. FSRNet adopts a symmetric encoder–decoder architecture as its backbone and utilizes parameter-free pixel shuffle and unshuffle operations for multiscale feature resampling to preserve complex spatial details. The core of FSRNet lies in the specially designed Feature Self-Recalibration Module (FSRM), which consists of two key components: the Dual-Stage Feature Calibration Block (DFCB) and the Hierarchical Context Aggregation Block (HCAB). Specifically, the DFCB statistically splits features into informative and redundant parts, independently recalibrating them through a simplified channel attention mechanism to enhance representation in heterogeneous haze regions. Simultaneously, the HCAB integrates a non-local haze perception branch and a local detail enhancement branch in parallel, enabling the model to perceive global haze density while preserving fine-grained textures. Experimental results on multiple authoritative synthetic and real-world remote sensing datasets demonstrate that FSRNet achieves state-of-the-art dehazing performance. With only 0.865 M parameters and 8.622 G MACs, FSRNet strikes a superior balance between restoration quality and computational efficiency, making it highly suitable for real-time deployment on resource-constrained platforms. Full article

Using 16S rRNA gene amplicon sequencing and FEAST microbial source tracking, this study characterized the bacterial communities in tissues (roots, stems, leaves, seeds) and associated soils (rhizosphere and bulk soil) of Vernonia anthelmintica, an important Uyghur medicinal plant endemic to arid southern Xinjiang. We found significantly higher bacterial diversity in soil than in plant tissues, with Pseudomonadota-dominated plant-associated communities and Actinobacteria co-dominating in soils. Bacterial community structures varied across plant compartments, with soil communities exhibiting greater stability and broader niche breadth. Critically, FEAST source tracking revealed that rhizosphere soil contributed 23.8%, 13.4%, 17.9%, and 10.8% of the bacterial communities in roots, stems, leaves, and seeds, respectively, identifying soil as the primary source of endophytic bacteria. These findings highlight the pivotal role of arid-region soil microbial diversity in shaping the unique endophytic microbiome of V. anthelmintica, providing a scientific basis for conserving soil microbial health to support its standardized cultivation and sustainable utilization in Uyghur medicine. Full article

Haloxylon ammodendron plantations constitute a dominant vegetation component of the desert–oasis ecotone in the arid and semi-arid regions of northwest China, playing a critical role in maintaining oasis stability and ecological security. However, the effects of converting natural desert ecosystems into plantations on the soil food webs of arthropods remain poorly understood, particularly with respect to how these effects vary across plantation age. To address this knowledge gap, we conducted a field investigation in the desert–oasis ecotone of the middle reaches of the Hexi Corridor, Gansu Province. Using pitfall trapping, we sampled two key arthropod taxa (arachnids and soil mesofauna) from control areas (natural deserts) and H. ammodendron plantations representing different ages (young and old). The results indicated that both young and old plantations were associated with significantly higher abundance and richness of arachnids, soil mesofauna, mites, and springtails compared with natural deserts, with springtail richness exhibiting a further significant increase in old plantations. Arachnid responses to plantation conversion were strongly structured by body size. Medium arachnid abundance increased in both young and old plantations, whereas large arachnid abundance increased only in young plantations and declined in older ones. In contrast, small arachnid abundance exhibited significant increases exclusively in old plantations. In addition, relationships between arachnid, mite and springtail abundance varied with plantation age: the ratio of large arachnids to mites and springtails declined significantly in old plantations relative to young ones, while the corresponding ratio for small arachnids showed an opposite pattern. Variations in soil mesofauna community composition were primarily explained by shrub cover, herbaceous cover, coarse sand proportion, silt-clay content, and soil soluble salt, which together accounted for 48.9% of observed variation. For arachnids, soil mesofauna as a food resource significantly enhanced abundance and richness. Moreover, shrub cover and silt-clay content were also drivers of arachnid community variation, jointly explaining 6.7% of variance. Overall, the establishment of H. ammodendron plantations promoted the diversity of both arachnids and soil mesofauna, but their relationships shifted dynamically with plantation age, leading to a reorganization of detrital food web structure and functioning. Full article

Grape pomace represents a major organic solid waste generated by the wine industry, but its application has been largely unexplored. On the other hand, so far, stable and sustainable raw materials for producing stable, edible Pickering emulsifiers suitable for the food industry have been lacking. To solve these problems, this study established a mild but effective co-extraction method to obtain protein–polysaccharide–polyphenol ternary complexes (GPTCs) from grape pomace. Subsequently, these complexes were directly developed into an edible Pickering emulsifier by a pH-controlled method. Results showed that a series of properties related to the Pickering emulsifier, such as particle size, surface charge, wettability, and interfacial adsorption behavior, could be easily controlled by adjusting the solution’s pH. Consequently, the GPTC prepared at pH 7.0 exhibited optimal emulsifying performance. The resulting particles had an average particle size of approximately 111 nm, and stabilized Pickering emulsions with a volume-weighted mean oil droplet diameter (D [4,3]) of 9.49 μm, indicating high emulsion stability. Collectively, this study provided an actionable approach for the green, high-value utilization of wine byproducts by establishing a pH-responsive design framework for edible Pickering emulsifiers. Full article

Hypera postica (Gyllenhal) is a major pest of alfalfa. We combined mitochondrial COI and CytB gene sequences to characterize the genetic diversity of 20 geographic populations of H. postica across Xinjiang, China, and to elucidate their lineage relationships at both regional and global scales. We found that Nucleotide diversity (Pi) was markedly higher in western Xinjiang populations (Pi > 0.016), specifically Wusu (0.023), Tekes (0.023), Jinghe (0.023), Wenquan (0.021), Bole (0.021), Habahe (0.020), Nilka (0.020), Tacheng (0.019), Toli (0.018), Altay (0.017), Emin (0.016), Xinyuan (0.016), and Zhaosu (0.016), whereas central Xinjiang populations exhibited substantially lower diversity (Pi < 0.014), including Shawan (0.014), Qitai (0.011), Jimsar (0.007), Urumqi (0.004), Hutubi (0.003), Fukang (0.001), and Manas (0.001). Pairwise F_ST analysis revealed pronounced genetic divergence between the western Xinjiang group (Altay, Bole, Wenquan, Tacheng, Emin, Toli, Nilka, Xinyuan, Tekes, Zhaosu) and the central Xinjiang group (Qitai, Urumqi, Fukang, Habahe, Hutubi, Jimsar, Shawan, Manas). At the global level, H. postica can be divided into two major phylogroups: the Western and Eastern lineages. All Xinjiang populations belong to the Eastern lineage. Haplotype network analysis identified two distinct sublineages, western and central Xinjiang, with H2 and H26 as their respective dominant shared haplotypes; both are unique to China. Both maximum likelihood (ML) and Bayesian phylogenetic trees robustly support the central Xinjiang lineage as a distinct clade. Neutrality tests provided strong evidence of recent demographic expansion across the Xinjiang H. postica population as a whole (Fu’s Fs = −21.987, p < 0.05), with particularly pronounced signals in Hutubi (HTB: Tajima’s D = −1.966, Fu’s Fs = −0.781, p < 0.05), Jimsar (JMSE: Tajima’s D = −2.176, Fu’s Fs = −0.962, p < 0.01), and Wenquan (WQ: Fu’s Fs = −11.159, p < 0.01). Our results reveal a clear phylogeographic split within Xinjiang H. postica populations, comprising western and central sub-lineages, with the western sub-lineage likely representing ancestral lineage. The western Xinjiang sub-lineage appears to be shaped primarily by mountainous topography, whereas the central Xinjiang sub-lineage likely results from the combined effects of piedmont plain geography and infection with the endosymbiont Wolbachia strain wHypera4. Full article

Pseudomonas aeruginosa elastase LasB accelerates refrigerated food spoilage through proteolytic degradation of muscle and milk proteins. While Marrubium vulgare essential oil terpenes exhibit antimicrobial activity, their weak potency and nonspecificity limit direct food preservation applications. This computational study aimed to rationally redesign terpene scaffolds into predicted selective LasB inhibitors. A virtual library of 635 terpene–peptide–phosphinic acid hybrids (expanded to 3940 conformers) was evaluated using consensus molecular docking (Glide/Flare) against LasB (PDB: 3DBK) and three human off-target proteases. Top candidates underwent duplicate 150 ns molecular dynamics simulations with MM/GBSA binding free-energy calculations. Computational screening identified thymol–Leu–Trp–phosphinic acid as the lead candidate with predicted binding affinity of −12.12 kcal/mol, comparable to reference inhibitor phosphoramidon (−11.87 kcal/mol), and predicted selectivity index of +0.12 kcal/mol representing a 2.3 kcal/mol advantage over human proteases. Molecular dynamics simulations indicated exceptional stability (98.7% stable frames, 0.12 Å inter-replica RMSD) with consistent zinc coordination. Structure–activity analysis revealed phosphinic zinc-binding groups (+1.57 kcal/mol), Leu–Trp linkers (+2.47 kcal/mol), and phenolic scaffolds (+1.35 kcal/mol) as predicted optimal structural features. This in silico study provides a computational framework and prioritized candidate set for developing natural product-derived food preservatives. All findings represent computational predictions requiring experimental validation through enzymatic assays, food model studies, and toxicological evaluation. Full article

It has been well established that biofilm formation plays a critical role in the pathogenesis of various plant pathogenic bacteria. However, research on this process in Paracidovorax citrulli, the causal agent of bacterial fruit blotch (BFB) in cucurbits, remains limited. Through screening of the infection pathways of P. citrulli in sweet melon leaves, observing biofilm formation morphology at bacterial colonization sites, and detecting the activities of pathogenicity-related enzymes, this study revealed that P. citrulli readily colonizes Hami melon vascular tissues following inoculation via petiole immersion, petiole dipping, or vine injection. Dense biofilms were observed within the vascular bundles of symptomatic leaf veins. Furthermore, P. citrulli was confirmed to secrete cellulase and pectinase, with enzymatic activities increasing progressively as disease severity intensified. These findings suggest that BFB development in Hami melon is likely associated with the synergistic action of P. citrulli, biofilm-mediated occlusion of xylem vessels and hydrolytic degradation of plant cell walls, which may contribute to initial water-soaked lesions and subsequent vein-associated necrosis in leaf tissues. This study provides a theoretical foundation for further elucidation of the pathogenic mechanisms of P. citrulli. Full article

Micro- and nanoplastics (MNPs) are a new type of pollutant that are widely present in terrestrial ecosystems due to agricultural plastics, sludge use, deposition, and litter degradation. Plants can absorb them through the soil and atmosphere, with adverse effects on plant growth and development. Several studies have reported the effects of MNPs on plant physiology, biochemistry, and toxicity. However, the food chain risk of plant uptake of MNPs has not been systematically studied. This review synthesizes current research on plant MNP pollution, focusing on the uptake and transport mechanisms of MNPs by plants, influencing factors, and health hazards. The size, type, and surface charge characteristics of MNPs, as well as environmental conditions, are key factors affecting MNP absorption and accumulation in plants. Furthermore, when MNP-enriched plants are consumed by humans and animals, the accumulated MNPs can diffuse through the bloodstream to various organs, impairing physiological functions and causing a range of health problems. While a comprehensive, traceable investigation of the transmission of MNPs through the terrestrial food chain remains unconfirmed, health risk signals are unequivocal—dietary intake is the primary route of human exposure to MNPs, with direct evidence of their bioaccumulation in human tissues. Addressing this critical research gap, i.e., systematically verifying the full terrestrial food chain translocation of MNPs, is therefore pivotal for conducting robust and comprehensive assessments of the food safety and health risks posed by MNPs. This study analyzed a total of 154 literature sources, providing important theoretical insights into the absorption, transport, and accumulation of MNPs in plants, as well as the health risks associated with their transfer to humans through the food chain. It is expected to provide valuable reference for the research on the transfer of MNPs in the “soil-plant-human” chain. Full article