Rezultaty - Tao Zhang

Breast milk provides significant health benefits to both infants and mothers, offering protection against infections and enhancing cognitive development. This paper examines the complex effects of substance use disorder (SUD) during pregnancy and lactation, focusing on the pharmacokinetics of drug t...

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This study employs text mining techniques to conduct a systematic quantitative analysis of cybersecurity-related scientific publications and technological research. It aims to break through the limitations of traditional unidirectional evolutionary research, reveal the knowledge evolution rules betw...

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Geographic height information describes the vertical spatial structure of the city and serves as important foundational data for urban management. Obtaining height information from single-view remote sensing images is a relatively low-cost and convenient approach. However, there exist several bottle...

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The growing number of older adults undergoing surgery necessitates that we address the adverse effects of overt and covert perioperative stroke. Preclinical studies have suggested that anesthesia-induced preconditioning may provide neuroprotection by preserving mitochondrial function, activating cyt...

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Acute kidney injury (AKI) resulting from acute renal vein thrombosis (ARVT) is uncommon, yet it can progress swiftly, requiring prompt diagnosis and intervention. This study aimed to investigate the various multimodal ultrasound techniques, specifically conventional ultrasound (CUS), microvascular f...

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ObjectiveThe global community has increasingly aligned with the carbon peaking and carbon neutrality goals — as a cornerstone of climate action. Within urban ecosystems, park green spaces emerge as a pivotal contributor to carbon sink capacity, accounting for over 60% of the total urban carbon seque...

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Quantifying the carbon footprint of agricultural products is crucial for effective carbon mitigation and responsible sourcing, given that the food production system accounts for approximately one-third of global carbon emissions. While country- and sector-specific carbon accounting offers broad insi...

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Green and golden tides caused by Ulva prolifera and Sargassum horneri erupt annually along the coasts of China. During the late stages of algal blooms, massive macroalgal die-offs result in the release of dissolved organic matter (DOM), which can profoundly affect local marine environments and eleme...

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In the context of sustainable aquaculture, plant extracts are considered potential feed additives to enhance fish immunity while minimizing environmental risks. This study evaluates the ecotoxicity and physiological impacts of four plant extracts—gallnuts (Rhus chinensis), green chiretta (Andrograph...

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The process of mining is invariably associated with ecological and environmental challenges within the mining region, making ecological restoration efforts in these areas especially crucial. Bryophytes, acting as key pioneer species, exhibit distinctive advantages and potential for application in th...

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When shield tunnels traverse the upper-soft and lower-hard stratum, the pronounced geological differences lead to uneven stress distribution on the segmental lining, thereby intensifying both construction challenges and safety risks. Investigating the loading conditions and mechanical characteristic...

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Primary aromatic amines (PAAs) are a class of chemicals that are produced in large quantities and used widely. However, studies on internal exposure levels of these chemicals in the general population in China are limited. This study presents a nationwide survey of 25 PAAs by analyzing 457 urine sam...

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Green manure effectively improves soil nutrients and crop yields, yet its partial substitution for chemical nitrogen fertilizer (CF) in maize systems remains underexplored in ecologically fragile Karst landscapes. To assess the effect of alfalfa green manure on maize yield, soil nutrients, enzymes,...

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Background/Objectives: The accurate and efficient segmentation of brain tumors from 3D MRI data remains a significant challenge in medical imaging. Conventional deep learning methods, such as convolutional neural networks and transformer-based models, frequently introduce significant computational o...

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This study presents a hybrid ensemble learning framework for the joint detection and motor severity prediction of Parkinson’s disease (PD) using biomedical voice features. The proposed architecture integrates a deep multimodal fusion model with dense expert pathways, multi-head self-attention, and m...

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Litopenaeus vannamei were fed diets supplemented with 0, 60, 90 and 120 mg/kg of Adonis amurensis-derived astaxanthin (AX) for 21 days. Intestinal morphology, muscle fatty acid composition, oxidative stress, and immune-related parameters were measured. The results showed that the AX-120 group exhibi...

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Regenerative combustion represents an efficient and energy-saving combustion technology that significantly enhances thermal efficiency, reduces energy consumption, and minimizes pollutant emissions by recovering and reusing heat energy. This technology has found extensive applications in traditional...

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Abstract In recent years, machine learning (ML) models have been used to improve physical parameterizations of general circulation models (GCMs). A significant challenge of integrating ML models into GCMs is the online instability when they are coupled for long‐term simulation. We present a new stra...

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To overcome the limitation of bio-based packaging films in terms of mechanical/ barrier properties and preservation of freshness in high-fat foods. This study explored the effect of glycerol content (40 %, 45 %, 50 %, 55 % and 60 %) on the properties of whey protein concentration (WPC) and nanocryst...

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This study investigates the post buckling behavior of porous magneto-electro-elastic (MEE) nanoplates under combined mechanical, electrical, and magnetic loading using nonlocal strain gradient theory (NSGT). This study uniquely combines NSGT with pore effects. By integrating the Mindlin plate theory...

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