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Soils are habitat to a variety of flora and fauna in a linked ecosystem which provides essential ecosystem services. In soil, metals can accumulate at high concentrations, because of anthropogenic activities, leading to toxic effects, threatening the ecosystem and the services it provides. In most real-world contamination scenarios, metals occur as complex mixtures which can interact and produce different toxicity than predicted from individual metal data. Current regulatory guidelines are based on single species responses to individual metals and ignore indirect effects inherent to the inter-linked nature of ecosystems. Also, the evaluation of anthropogenic impacts to the soil communities is usually measured through structural endpoints (e.g. abundance) disregarding functional measurements (e.g. organic matter decomposition rates), which are often seen as tightly related, and thus, similarly affected. In this study we tested three mixture ratios of five metal oxides (lead, copper, nickel, zinc, cobalt) at three dose levels (Low, Med, High) in a terrestrial model ecosystem experiment and measured structural and functional endpoints. Exposure to metal mixtures for 16 weeks did not affect the microarthropod community, but produced severe effects on soil microbial activity (PNR and DHA) reducing activity below 50% compared to control levels, in all dosed treatments. Metal contamination also significantly affected feeding activity and organic matter decomposition, but effects were not as pronounced as on microbial activity. Data suggest that, in the risk assessment of metals and their mixtures, effects on ecosystem structure and functions must be considered to provide adequate environmental protection.
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http://dx.doi.org/10.1016/j.scitotenv.2021.148909 | DOI Listing |
Neural Netw
September 2025
School of Mathematics and Information Science, Guangxi University, Nanning, 530004, China. Electronic address:
This study presents a novel variable gain intermittent boundary control (VGIBC) approach for stabilizing delayed stochastic reaction-diffusion Cohen-Grossberg neural networks (SRDCGNN). In contrast to traditional constant gain intermittent boundary control (CGIBC) methods, the proposed VGIBC framework dynamically adjusts the control gain based on the operational duration within each control cycle, thereby improving adaptability to variations in work interval lengths. The time-varying control gain is designed using a piecewise interpolation method across work intervals, defined by a finite set of static gain matrices.
View Article and Find Full Text PDFNeural Netw
September 2025
School of Electronic Science and Engineering, Nanjing University, China. Electronic address:
The Segment Anything Model (SAM) is a cornerstone of image segmentation, demonstrating exceptional performance across various applications, particularly in autonomous driving and medical imaging, where precise segmentation is crucial. However, SAM is vulnerable to adversarial attacks that can significantly impair its functionality through minor input perturbations. Traditional techniques, such as FGSM and PGD, are often ineffective in segmentation tasks due to their reliance on global perturbations that overlook spatial nuances.
View Article and Find Full Text PDFJ Biomech
August 2025
Lampe Joint Department of Biomedical Engineering, UNC Chapel Hill & NC State University, Chapel Hill, NC, USA. Electronic address:
Walking is essential for maintaining independence and quality of life, yet aging may impair the neuromuscular function required for stable gait over time. This study sought to quantify age-related differences in step-to-step control during prolonged walking using detrended fluctuation analysis (DFA). We hypothesized that step-to-step changes in step length and step width would exhibit reduced temporal persistence over time, with more pronounced effects in older than in younger adults.
View Article and Find Full Text PDFFood Chem
September 2025
Nantong Food and Drug Supervision and Inspection Center, Nantong 226001, PR China.
Different starch crystal structures significantly influence meat product quality, though their specific impacts on myofibrillar protein (MP) functionality remain unclear despite industry demand for optimized ingredients. This study compared how potato, corn, mung bean, and pea starches affect MP properties in minced pork. Our findings reveal that starch-protein interactions fundamentally regulate MP gel and emulsion properties through the following mechanisms: First, starch promotes protein aggregation by enhancing hydrophobic interactions and disulfide bond formation, affecting gel network crosslinking.
View Article and Find Full Text PDFJ Therm Biol
September 2025
Hainan Key Laboratory of Tropical Animal Reproduction & Breeding and Epidemic Disease Research, School of Tropical Agriculture and Forestry, Hainan University, Haikou, 570228, China. Electronic address:
In light of the challenges posed by global climate change, the environmental adaptability of organisms is becoming increasingly important. The Wuzhishan (WZS) pig, tolerant to high heat and humidity, is an ideal model for genomic study. By characterizing its genome and assessing its genetic diversity and runs of homozygosity (ROH), we can gain insights into its current conservation status and genomic architecture.
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