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Background: This systematic review and meta-analysis aimed to investigate the differences in hallux valgus angle (HVA), intermetatarsal angle (IMA), American Orthopedic Foot and Ankle Society (AOFAS) scores, and complication rates between chevron osteotomy and scarf osteotomy for correcting hallux valgus. Methods: Two investigators independently searched for randomized controlled trials (RCTs) published from 2007 to 2018 on PubMed, Web of Science, and Cochrane Library databases. Next, chevron and scarf osteotomies were compared for their postoperative outcomes using HVA, IMA, and AOFAS scores and their complication rates. Meta-analysis was performed using Review Manager (version 5.3). Results: Six RCTs—comprising 507 feet, of which 261 and 246 underwent chevron and scarf osteotomies, respectively—were included. The meta-analysis revealed that chevron osteotomy led to significantly smaller postoperative HVAs than scarf osteotomy (weighted mean difference [WMD] = -1.94, 95% CI = − 2.65 to − 1.29, P <.00001). However, the differences in postoperative IMA (WMD = − 0.44, 95% CI = − 1.10 to 0.22, P =.19), postoperative AOFAS scores (WMD = 0.75; 95% CI = − 5.32 to 6.82; P =.81), and complication rates (risk ratio = 1.22, 95% CI = 0.65–2.27, P =.53) between feet that underwent chevron and scarf osteotomies were nonsignificant. Conclusions: Compared with scarf osteotomy, chevron osteotomy had significantly more favorable postoperative outcomes in terms of HVA correction, but not in terms of IMA, AOFAS scores, or complication rates. Level of evidence: Level I, systemic review and meta-analysis. [ABSTRACT FROM AUTHOR]

Self-compassion (SC) and its influence on mental health have always been a significant focus in psychological research, especially given the alarming prevalence of depression among Chinese university students. The purpose of this study is to examine the relationship between SC, encompassing both self-warmth and self-coldness, and depression among Chinese undergraduates, with emotion regulation strategies (ERS) serving as a mediator. The sample comprised 21,353 undergraduates from Yunnan Province, China, with data collected at two time points (T1 and T2). SC was measured using the Self-Compassion Scale-Short Form (SCS-SF), while depression was assessed with the Beck Depression Inventory (BDI). ERS were measured using the Cognitive Emotion Regulation Questionnaire-short (CERQ-short). Data were analyzed using structural equation modeling. Results demonstrated that the model of self-warmth, self-coldness, ERS, and depression fit the data well. Upon controlling for depression at T1, both self-warmth and self-coldness were significant predictors of depression through ERS. ERS were found to be a significant mediator in this study. The results indicated that self-warmth enhances adaptive ERS and reduces maladaptive ERS, leading to lower levels of depression, while self-coldness has the opposite influence. [ABSTRACT FROM AUTHOR]

Overcoming the diffraction limit has been a long-lasting pursuit for researchers owing to the great potential it offers in going beyond the fundamental resolution restriction in imaging processes. In acoustics, meta-lenses have been a promising way to achieve sub-wavelength imaging, the practical application of which, however, has been limited by expensive material manufacturing, complex system setup, and material loss. Here, we propose a set of procedures equivalent to a virtual super-lens that selectively amplifies the evanescent wave components in the measured acoustic field spectrum, thereby enabling super-resolution imaging without any auxiliary setups or purposely designed super-lens. The proposed virtual super-lens is experimentally verified by considering the imaging of an irregularly shaped sample with sub-wavelength features. We further demonstrate the robustness of the high-quality imaging performance remains acceptable with some environment background noises. In the light of the simple experimental setup involved, our proposed method is flexible and can be readily applied to various practical imaging scenarios. [ABSTRACT FROM AUTHOR]

Background: Hypertensive disorders of pregnancy (HDP) are associated with an increased risk of stroke later in life in multiparous women. However, causality of these associations remains unclear. This study employed 2-sample univariate and multivariate Mendelian randomization (MR) to assess the causal connection between HDP and stroke. Methods: Genetic variants for HDP and two subtypes were identified from recent large-scale genome-wide association studies and the FinnGen consortium. Stroke summary data were obtained from the MEGASTROKE consortium. The primary analytical approach for univariate MR was the inverse variance weighting method. Sensitivity analyses incorporated methods such as MR-Egger regression, weighted median, and maximum likelihood to ascertain the robustness of the results. Additionally, multivariable MR analyses were conducted to account for potential associative effects of hypertension and type 2 diabetes. Results: Genetically predicted HDP was associated with a high risk of large artery atherosclerosis (odds ratio [OR]=1.50, 95% confidence interval [CI]: 1.17-1.91, P=1.13×10-3) and small vessel stroke (OR=1.29, 95% CI: 1.20-1.50, P=1.52×10-3). HDP may also correlate with ischemic stroke (OR=1.13, 95% CI: 1.04-1.23, P=4.99×10-3) and stroke (OR=1.11, 95% CI: 1.03-1.20, P=8.85×10-3). An elevated risk of small vessel stroke (OR=1.20, 95% CI: 1.01-1.43, P=3.74×10-2) and large artery atherosclerosis (OR=1.22, 95% CI: 1.01-1.47, P=4.07×10-2) may be related with genetically predicted susceptibility to gestational hypertension. Genetically predicted susceptibility to preeclampsia or eclampsia may be associated with an increased risk of stroke (OR = 1.10, 95% CI: 1.02-1.19, P = 1.16×10-2) and ischemic stroke (OR = 1.10, 95% CI: 1.02-1.20, P = 1.84×10-2). Type 2 diabetes mellitus and hypertension were identified as significant factors contributing to the association between HDP and stroke. Conclusions: This study provides genetic evidence supporting an association between HDP and increased stroke risk bolstering HDP as a cerebrovascular risk factor. [ABSTRACT FROM AUTHOR]

The effect of breakable particle corners is often overlooked in research on pile–soil interaction, which hinders the understanding of the uplift pile behaviors in calcareous sand. This research examines the breakable corner effects on uplift pile–soil interaction in calcareous sand from macro to micro, through model tests and coupled discrete element method–finite difference method. Results revealed that compared to that in silica sand, the higher bearing capacity and relatively abrupt failure behavior of uplift piles in calcareous sands were attributed to the corner interlocking effect and corner breakage effect, respectively. The unstable load transmission along piles in calcareous sand was thoroughly explained by a coupled effect of corner interlocking and breakage. Furthermore, the reduction in effective contacts and alterations in soil skeletons were identified as critical factors contributing to the distinctive soil behaviors in calcareous sand. Moreover, the relative sliding distance of particles was found to be the key factor in determining the amount of corner breakages due to stress concentration at corners. Lastly, a positive feedback loop involving corner breakage effects was proposed, successfully explaining the distinctive phenomenon of uplift piles in calcareous sand. This study provides new perspectives to clarify distinctive pile–soil interaction behaviors in calcareous sand. [ABSTRACT FROM AUTHOR]

Background: Alcohol abuse, a prevalent global health issue, is associated with the onset of cognitive impairment and neurodegeneration. Actin filaments (F-actin) and microtubules (MTs) polymerized from monomeric globular actin (G-actin) and tubulin form the structural basis of the neuronal cytoskeleton. Precise regulation of the assembly and disassembly of these cytoskeletal proteins, and their dynamic balance, play a pivotal role in regulating neuronal morphology and function. Nevertheless, the effect of prolonged alcohol exposure on cytoskeleton dynamics is not fully understood. This study investigates the chronic effects of alcohol on cognitive ability, neuronal morphology and cytoskeleton dynamics in the mouse hippocampus. Methods: Mice were provided ad libitum access to 5% (v/v) alcohol in drinking water and were intragastrically administered 30% (v/v, 6.0 g/kg/day) alcohol for six weeks during adulthood. Cognitive functions were then evaluated using the Y maze, novel object recognition and Morris water maze tests. Hippocampal histomorphology was assessed through hematoxylin-eosin (HE) and Nissl staining. The polymerized and depolymerized states of actin cytoskeleton and microtubules were separated using two commercial assay kits and quantified by Western blot analysis. Results: Mice chronically exposed to alcohol exhibited significant deficits in spatial and recognition memory as evidenced by behavioral tests. Histological analysis revealed notable hippocampal damage and neuronal loss. Decreased ratios of F-actin/G-actin and MT/tubulin, along with reduced levels of polymerized F-actin and MTs, were found in the hippocampus of alcohol-treated mice. Conclusions: Our findings suggest that chronic alcohol consumption disrupted the assembly of the actin cytoskeleton and MTs in the hippocampus, potentially contributing to the cognitive deficits and pathological injury induced by chronic alcohol intoxication. [ABSTRACT FROM AUTHOR]

Predation exerts a profound influence on the evolution of camouflage and detection abilities in both predators and prey. For instance, flower‐visiting spiders need to ensure their concealment when ambushing on flowers, which compels pollinators to check any spider cues cautiously before landing. Although numerous studies have examined the visual camouflage of spiders deceiving bees, little is known regarding whether spiders also employ olfactory camouflage. Additionally, the detection of spiders by dipteran insects is often overlooked, despite them being major non‐bee pollinators. Here, we explored the detection ability of dipteran pollinators and the crypsis skill of spiders from both olfactory and vision perspectives using the housefly Musca domestica L. (Diptera: Muscidae) as prey, the crab spider Ebrechtella tricuspidata (Fabricius) (Araneae: Thomisidae) as predators and chamomile Matricaria recutita L. (Asteraceae) as substrates. Our olfactory experiments revealed that experienced houseflies could respond to and avoid spider odour. However, this response did not appear to be innate, as naive individuals showed no aversion. Moreover, experienced houseflies did not have any avoidance behaviours to the mixed odours of spider and flower, indicating that spiders achieved olfactory crypsis utilizing floral scent. Our vision experiments and visual modelling demonstrated that houseflies could detect spiders positioned on flower. Surprisingly, instead of avoiding them, houseflies exhibited a preference for flowers occupied by female spiders, suggesting the attractive nature of female spider colouration. This paper provides evidence for the first time that crab spiders use floral scent to achieve olfactory crypsis and proposes a potential yellow‐signalling mechanism for crab spiders to attract insects. [ABSTRACT FROM AUTHOR]

The Lower Yangtze valley is widely recognized as the earliest center of rice agriculture. The process of rice domestication, based on the morphology of spikelet bases, has been traced between 9000 and 5000 BP. However, the domestication status of rice before 9000 BP remains a subject of debate due to the near absence of macrobotanical remains in the region. This research aims to address this gap by investigating rice impressions and inclusions found in ceramic sherds from Shangshan site, the earliest Neolithic site in the Lower Yangtze valley. Utilizing microCT analysis, this study examined 184 impressions of Oryza sp. spikelet bases from ceramics sherds, generating the most extensive database of rice remains dating to the early Shangshan phase. The results offer valuable insights into the early onset of rice domestication in the Lower Yangtze during the 10th millennium BP. This study represents a pioneering use of microCT analysis of ceramic sherds with early plant impressions. [ABSTRACT FROM AUTHOR]

Summary: In recent years, the markets for plant‐based products and plant protein have experienced a remarkable global expansion. The demand for plant‐based products, ranging from meat substitutes and dairy alternatives to plant‐based snacks and beverages, has surged exponentially. Soy protein, among all the plant protein resources, held a significant market share in the plant‐based industry, reflecting its popularity and widespread use. The selection of an appropriate soy fractionation process is essential for the development of cleaner and more sustainable soy‐based food products. This study compared three different soy protein fractions (SPFs) obtained through mild fractionation processes, each with unique chemical compositions and functionalities. Aqueous ethanol washing process resulted in the fractions with the highest protein purity and water holding capacity, while the simplified aqueous extraction method coupled with either an alkaline solubilisation step (SAE‐Alkaline) or an acid precipitation step (SAE‐Acid) yielded protein fractions with superior solubility, thermal stability, and gel strength. The choice of fractionation route has significant implications for the production of protein‐rich ingredients, and prioritising sustainable processing methods can contribute to the development of innovative and environmentally friendly soy‐based foods. [ABSTRACT FROM AUTHOR]

In this paper, the discrete octonion linear canonical transform (DOCLCT) is presented. According to the definition of DOCLCT, its shift transform and modulation transform are explored. In addition, based on a new convolution operator, we obtain the convolution theorem of DOCLCT. The DOCLCT can be derived by the three-dimensional (3D) linear canonical transform. So, the fast algorithm of 3D DOCLCT is discussed. Finally, Heisenberg's uncertainty principle associated with DOCLCT is established. [ABSTRACT FROM AUTHOR]

Integrating long-term observational data analysis with numerical simulations of dam operations provides an effective approach to dam safety evaluation. However, analytical results are often subject to errors due to challenges in accurately surveying and modeling the foundation, as well as temporal changes in foundation properties. This paper proposes a concrete dam displacement separation model that distinguishes between deformation caused by foundation restraint and that induced by external loads. By combining this model with intelligent optimization techniques and long-term observational data, we can identify the actual mechanical parameters of the dam and conduct structural health assessments. The proposed model accommodates multiple degrees of freedom and is applicable to both two- and three-dimensional dam modeling. Consequently, it is well-suited for parameter identification and health diagnosis of concrete gravity and arch dams with extensive observational data. The efficacy of this diagnostic model has been validated through computational case studies and practical engineering applications. [ABSTRACT FROM AUTHOR]

Anisotropic optical 2D materials are crucial for achieving multiple‐quanta functions within quantum materials, which enables the fabrication of axially polarized electronic and optoelectronic devices. In this work, multiple excitonic emissions owning polarization‐sensitive orientations are clearly detected in a multilayered quasi‐1D ZrS3 nanoribbon with respect to the nanostripe edge. Four excitons denoted as AS1, AS2, AS, and A2 with E ⊥ b polarized direction and one prominent A1 exciton with E || b polarized emission are simultaneously detected in the polarized micro‐photoluminescence (µPL) measurement of 1.9–2.2 eV at 10 K. In contrast to light emission, polarized micro‐thermoreflectance (µTR) measurements are performed to identify the polarization dependence and verify the excitons in the multilayered ZrS3 nanoribbon from the perspective of light absorption. At 10 K, a prominent and broadened peak on the lower‐energy side, containing an indirect resonant emission (DI) observed by µPL and an indirect defect‐bound exciton peak (AInd) observed by both µPL and µTR, is simultaneously detected, confirming the existence of a quasi‐direct band edge in ZrS3. A van der Waals stacked p‐GaSe/n‐ZrS3 heterojunction solar cell is fabricated, which demonstrates a maximum axially‐polarized conversion efficiency up to 0.412% as the E || b polarized light incident onto the device. [ABSTRACT FROM AUTHOR]

Drawing from A-share listed companies' data from the Shanghai and Shenzhen stock markets in China (2013–2022), this paper adopts the differential model to test the impact and mechanism of a green supply chain (GSC) pilot on pilot enterprises. The results show that the GSC pilot effectively improved the carbon performance of the pilot enterprises and passed a series of robustness tests. Mechanism analysis finds that green innovation, efficiency improvement, and environmental information disclosure (EID) can reduce the carbon emissions of enterprises. The moderating effect discovers that environmental regulation and environmental attention effectively strengthened the role of the GSC pilot in improving carbon performance. In addition, this paper finds that the pilot had a better carbon reduction effect on mature, technology-intensive, and non-state-owned enterprises. The above research conclusions provide strong support for the government to build a GSC and promote low-carbon development. [ABSTRACT FROM AUTHOR]

Hematological malignancies are a group of cancers that affect the blood, bone marrow, and lymphatic system. Cancer stem cells (CSCs) are believed to be responsible for the initiation, progression, and relapse of hematological malignancies. However, identifying and targeting CSCs presents many challenges. We aimed to develop a stemness index (HSCsi) to identify and guide the therapy targeting CSCs in hematological malignancies. We developed a novel one-class logistic regression (OCLR) algorithm to identify transcriptomic feature sets related to stemness in hematologic malignancies. We used the HSCsi to measure the stemness degree of leukemia stem cells (LSCs) and correlate it with clinical outcomes.We analyze the correlation of HSCsi with genes and pathways involved in drug resistance and immune microenvironment of acute myeloid leukemia (AML). HSCsi revealed stemness-related biological mechanisms in hematologic malignancies and effectively identify LSCs. The index also predicted survival and relapse rates of various hematologic malignancies. We also identified potential drugs and interventions targeting cancer stem cells (CSCs) of hematologic malignancies by the index. Moreover, we found a correlation between stemness and bone marrow immune microenvironment in AML. Our study provides a novel method and tool to assess the stemness degree of hematologic malignancies and its implications for clinical outcomes and therapeutic strategies. Our HSC stemness index can facilitate the precise stratification of hematologic malignancies, suggest possible targeted and immunotherapy options, and guide the selection of patients. [ABSTRACT FROM AUTHOR]

In midsummer 2023, a record‐breaking extreme heatwave hit North China, causing significant impacts on people's daily lives and production. This study comprehensively analysed the unique features of this extreme event based on five indices describing the intensity, frequency and impact range. The results show that four of these indices broke the historical record in 2023, and the spatial extent (Tmax >40°C) is the second highest in history. The number of hot days with Tmax >40°C (Tmax >35°C) even reached 23 times (4.2 times) the normal. The combined results of these five indices undoubtedly indicate that this heatwave event is featured by high intensity, long duration, numerous extremely hot days and wide impact range. Furthermore, physical mechanism study revealed that the abnormally warm high‐pressure system persisted in dominating North China, resulting in descending airflow and temperature increases. The enhanced and unprecedented westward extending Western North Pacific Subtropical High, the enhanced and eastward extending Iran Subtropical High and the abnormal high‐pressure over southwestern China form an east–west connected anomalous high‐pressure zone, blocking the water vapour transport from lower latitude oceans to North China. Noticeably, North China has experienced a reduction in precipitation since about 2 months preceding this extreme heatwave, leading to severe soil moisture deficiency and reduced evaporation. Consequently, it increased surface sensible heat flux that led to a rise in temperature. This local land‐atmosphere positive feedback mechanism plays a crucial role in the intensification and maintenance of this extreme heatwave event. [ABSTRACT FROM AUTHOR]

Gene expression is regulated by transcription factors binding to cis-elements in promoters. However, efficient cis-elements for genetic engineering are rarely reported. In this study, we identified an 11 bp cis-element in the PtoCP1 promoter that drives strong constitutive gene expression in Populus tomentosa. A 2,270 bp promoter region upstream of the PtoCP1 gene's translation start site was cloned and named ProPtoCP1. This promoter controls GUS reporter gene expression in the roots, leaves, and stems of Arabidopsis seedlings. Based on the location and density of cis-elements, the PtoCP1 promoter was divided into four fragments by 5′-end deletions. GUS staining and RT-qPCR revealed a key cis-element at −466 to −441 bp essential for gene expression. Further analysis showed that the MYB-TGACG cis-element is a positive regulator, whereas neither MYB nor TGACG alone drove gene expression. This study enhances our understanding of gene expression regulation by cis-elements and provides a valuable tool for genetic engineering. [ABSTRACT FROM AUTHOR]

Microglial activation plays a crucial role in the disease progression in amyotrophic lateral sclerosis (ALS). Interleukin receptor-associated kinases-M (IRAK-M) is an important negative regulatory factor in the Toll-like receptor 4 (TLR4) pathway during microglia activation, and its mechanism in this process is still unclear. In the present study, we aimed to investigate the dynamic changes of IRAK-M and its protective effects for motor neurons in SOD1-G93A mouse model of ALS. qPCR (Real-time Quantitative PCR Detecting System) were used to examine the mRNA levels of IRAK-M in the spinal cord in both SOD1-G93A mice and their age-matched wild type (WT) littermates at 60, 100 and 140 days of age. We established an adeno-associated virus 9 (AAV9)-based platform by which IRAK-M was targeted mostly to microglial cells to investigate whether this approach could provide a protection in the SOD1-G93A mouse. Compared with age-matched WT mice, IRAK-M mRNA level was elevated at 100 and 140 days in the anterior horn region of spinal cords in the SOD1-G93A mouse. AAV9-IRAK-M treated SOD1-G93A mice showed reduction of IL-1β mRNA levels and significant improvements in the numbers of spinal motor neurons in spinal cord. Mice also showed previously reduction of muscle atrophy. Our data revealed the dynamic changes of IRAK-M during ALS pathological progression and demonstrated that an AAV9-IRAK-M delivery was an effective and translatable therapeutic approach for ALS. These findings may help identify potential molecular targets for ALS therapy. [ABSTRACT FROM AUTHOR]

The properties of graphite surface can not only affect the interaction between graphite and electrolyte but also induce the formation of solid electrolyte interphase (SEI) film. Herein, the graphite surface is purposely treated to incorporate oxygen‐containing functional groups, which facilitates a desired Li2CO3‐rich SEI with high ionic conductivity and good mechanical stability. The modified graphite electrodes exhibit significant enhancement in electrochemical performance during rapid charging at the rate of 15 C, where an impressive capacity of 225 mAh g−1 is still maintained, corresponding to a capacity retention of 60.8%. Moreover, the modified electrodes showcase outstanding performance under wide temperature ranging from −50 to +65 °C, with an amazing capacity retention of 97.6% under −20 °C, the conceivable capacity of 105 mAh g−1 at −50 °C as well as excellent stability at both −20 °C and +65 °C. These findings offer valuable insights into the design of a thin and robust Li2CO3‐rich SEI layer via a facile chemical treatment of the graphite surface. [ABSTRACT FROM AUTHOR]

This paper describes a highly alkaline low-grade copper oxide ore. Copper can be selectively leached out while other metals are retained. A thermodynamic model of the CuO-(NH4)2SO4-NH3-H2O system was established for the leaching of tenorite (CuO) under conditions of mass and charge conservation. MATLAB's fitting functions, along with the diff and solve functions, were used to calculate the optimal ammonia concentration and total copper ion concentration of tenorite under different ammonium sulfate concentrations. The effects of various ammonia–ammonium salt solutions (ammonium sulfate, ammonium carbonate, ammonium chloride) on the copper leaching rate were investigated. Results show that under the conditions of an ammonia concentration of 1.2 mol/L, an ammonia–ammonium ratio of 2:1, a liquid–solid ratio of 3:1, a temperature of 25 °C, and a leaching time of 4 h, the copper leaching rate from the ammonium sulfate and ammonium chloride solutions reaches 70%, which is slightly higher than that of ammonium carbonate. Therefore, an ammonia–ammonium sulfate system is selected for leaching low-grade copper oxide due to its lower corrosion to equipment compared to the chlorination system. The impact of this study on industrial applications includes the potential to find more sustainable and cost-effective methods for resource recovery. The industry can reduce its dependence on resources and mitigate its environmental impact. Readers engaged in low-grade oxidized copper research will benefit from this study. [ABSTRACT FROM AUTHOR]

The Rayleigh–Bénard convection system exhibits certain known symmetries at low Rayleigh numbers that are broken as the Rayleigh number increases. In this study, we investigate the statistical symmetry of Rayleigh–Bénard convection at moderately high Rayleigh numbers through direct numerical simulations. The simulations are conducted for a fluid confined within two-dimensional walls, with an aspect ratio of unity and a fixed Prandtl number. Although elliptical large-scale circulations break both left-right and top-down reflection symmetries, we observe the emergence of a restored double-reflection symmetry. This symmetry is evident in the velocity and temperature fields, as well as in the variations of mean velocity and temperature profiles along the streamwise direction and the characteristics of the kinetic and thermal boundary layers. For Rayleigh numbers ranging between 10 7 and 10 10 , our results demonstrate a remarkable data collapse under this double-reflection transformation. [ABSTRACT FROM AUTHOR]

Freestanding electrodes with the advantage of continuous conductive paths are more appealing for supercapacitor applications. In this work, using electrospun carbon nanofibers (CNFs) as conductive supports, Au nanoparticles (NPs) were embedded in polyaniline (PANI) polymer to construct a freestanding CNFs/PANI/Au electrode without binder. The binder-free CNFs/PANI/Au electrode with a meaningful three-dimensional (3D) network framework presents enhanced electrochemical properties. The specific capacitance of the CNFs/PANI/Au electrode (1144.5 F g-1) was 2.69-fold that of CNFs/PANI, and was 5.85-fold that of CNFs/Au electrodes at a current density of 0.5 A g-1 in the three-electrode configuration, when the atomic weight of Au NPs was about 2.23 at%. The satisfactory capacitance properties were connected with the freestanding structure and the efficient charge transfer that occurs at the CNFs/PANI/Au heterojunction interface. Besides, benefiting from the unique 3D self-supporting nanostructures, the CNFs/PANI/Au electrode exhibits long-term cycling stability with about 86.5% specific capacitance retention at 2 A g-1 of initial capacitance after 5000 cycles. Our work provides a flexible strategy to construct freestanding and binder-free electrodes, which is expected to improve and optimize energy-storage devices. [ABSTRACT FROM AUTHOR]

Background: Previous research has demonstrated an association between gut microbiota and immune status with the development of several diseases. However, whether these factors contribute to polyps remains unclear. This study aims to use Mendelian randomization (MR) to investigate the causal relationship between gut microbiota and 4 types of polyps (nasal, gallbladder, colon, and gastric polyps), as well as to analyze the mediating role of immune traits. Methods: This study utilized large-scale GWAS meta-analyses of gut microbiota (MiBioGen Consortium), 731 immune traits, and 4 types of polyps (one from the FinnGen Consortium and three from the NBDC Human Database). Univariate MR with the inverse variance weighted (IVW) estimation method was employed as the primary analytical approach. A two-step MR analysis was performed to identify potential mediating immune traits. Additionally, multivariable MR approach based on Bayesian model averaging (MR-BMA) was employed to further prioritize gut microbiota and immune traits associated with polyp development. Results: Based on IVW method in univariate MR analysis, we identified 39 gut microbial taxa and 135 immune traits significantly causally associated with at least one type of polyp. For nasal polyps, 13 microbial taxa and 61 immune traits were causally associated. After false discovery rate (FDR) correction, CD3 on Central Memory CD8+ T cells and CD3 on CD4 regulatory T cells remained significant. MR-BMA identified 4 gut microbial taxa and 4 immune traits as high priority. For gallbladder polyps, 9 microbial taxa and 30 immune traits were causally associated. MR-BMA identified 8 microbial taxa and 6 immune traits as higher importance. For colon polyps, 6 microbial taxa and 21 immune traits were causally associated. MR-BMA identified 4 microbial taxa and 3 immune traits as higher importance. For gastric polyps, 12 microbial taxa and 33 immune traits were causally associated. Actinobacteria remained significant after FDR correction, and MR-BMA identified 7 gut microbial taxa and 6 immune traits as high priority. We identified 16 causal pathways with mediator directions consistent with the direction of gut microbiome-polyp association. Of these, 6 pathways were associated with the mechanism of nasal polyps, 1 with gallbladder polyps, 2 with colon polyps, and 7 with gastric polyps. Conclusions: Our findings shed light on the causal relationships between gut microbiota, immune traits, and polyp development, underscoring the crucial roles of gut microbiota and immune status in polypogenesis. Furthermore, these findings suggest potential applications in polyp prevention, early screening, and the development of effective strategies to reduce polyp risk. [ABSTRACT FROM AUTHOR]

Rhododendron, with its high ornamental value and ecological benefits, is severely impacted by the azalea lace bug (Stephanitis pyrioides), one of its primary pests. This study utilized three Rhododendron cultivars, 'Zihe', 'Yanzhimi', and 'Taile', to conduct a non-targeted metabolomic analysis of leaf samples before and after azalea lace bug stress using headspace solid-phase microextraction combined with gas chromatography–mass spectrometry (HS-SPME/GCMS) and liquid chromatography–mass spectrometry (LCMS). A total of 81 volatile metabolites across 11 categories and 448 nonvolatile metabolites across 55 categories were detected. Significant differences in metabolic profiles were observed among the different cultivars after pest stress. A total of 47 volatile compounds and 49 nonvolatile metabolites were upregulated in the most susceptible cultivar 'Zihe', including terpenes, alcohols, nucleotides, amino acids, and carbohydrates, which are involved in energy production and secondary metabolism. Conversely, 'Yanzhimi' showed a downtrend in both the differential volatiles and metabolites related to purine metabolism and zeatin biosynthesis under pest stress. The resistant cultivar 'Taile' exhibited moderate changes, with 17 volatile compounds and 17 nonvolatile compounds being upregulated and enriched in the biosynthesis of amino acids, pentose, glucuronate interconversions, carbon metabolism, etc. The phenylalanine metabolic pathway played an important role in the pest resistance of different susceptible cultivars, and relevant metabolites such as phenylethyl alcohol, methyl salicylate, and apigenin may be involved in the plant's resistance response. The results of this study provide a new perspective on the metabolomics of Rhododendron–insect interactions and offer references for the development of pest control strategies. [ABSTRACT FROM AUTHOR]

Metal halide materials have recently drawn increasing research interest for their excellent opto‐electronic properties and structural diversity, but their resulting rigid structures render them brittle and poor formability during manufacturing. Here we demonstrate a thermoplastic luminant hybrid lead halide solid by integrating lead bromide complex into tri‐n‐octylphosphine oxide (TOPO) matrix. The construction of the hybrid materials can be achieved by a simple dissolution process, in which TOPO molecules act as the solvents and ligands to yield the monodispersed clusters. The combination of these functional units enables the near‐room‐temperature melt‐processing of the materials into targeted geometry by simple molding or printing techniques, which offer possibilities for fluorescent writing inks with outstanding self‐healing capacity to physical damage. The intermarriage between metal halide clusters with functional molecules expands the range of practical applications for hybrid metal halide materials. [ABSTRACT FROM AUTHOR]

Background: Sex disparity between metabolic-obesity (defined by body mass index, BMI) phenotypes and obesity-related cancer (ORC) remains unknown. Considering BMI reflecting overall obesity but not fat distribution, we aimed to systematically assess the association of our newly proposed metabolic-anthropometric phenotypes with risk of overall and site-specific ORC by sex. Methods: A total of 141,579 men (mean age: 56.37 years, mean follow-up time: 12.04 years) and 131,047 women (mean age: 56.22 years, mean follow up time: 11.82 years) from the UK Biobank was included, and designated as metabolic-anthropometric phenotypes based on metabolic status (metabolically healthy/unhealthy), BMI (non-obesity/obesity) and body shape (pear/slim/apple/wide). The sex-specific association of different phenotypes with overall and site-specific ORC was assessed by hazard ratios (HRs) and 95% confidence intervals (CIs) using Cox proportional hazards regression models. Results: We found metabolically unhealthy and/or obesity phenotypes conveyed a higher risk in men than in women for overall ORC and colorectal cancer compared with metabolically healthy non-obesity phenotype (Pinteraction < 0.05). Of note, metabolically healthy obesity phenotype contributed to increased risks of most ORC in men (HRs: 1.58 ~ 2.91), but only correlated with higher risks of endometrial (HR = 1.89, 95% CI: 1.54–2.32) and postmenopausal breast cancers (HR = 1.17, 95% CI: 1.05–1.31) in women. Similarly, even under metabolically healthy, men carrying apple and wide shapes phenotypes (metabolically healthy apple/wide and metabolically healthy non-obesity apple/wide) suffered an increased risk of ORC (mainly colorectal, liver, gastric cardia, and renal cancers, HRs: 1.20 ~ 3.81) in comparison with pear shape or non-obesity pear shape. Conclusions: There was a significant sex disparity between metabolic-anthropometric phenotypes and ORC risk. We advised future ORC prevention and control worth taking body shape and sex disparity into account. [ABSTRACT FROM AUTHOR]

In the cloud-edge collaborative environment, the edge server manager will divide the physical resources based on virtualization technology, so as to deploy multiple applications on the same server. However, due to the imperfect virtualization technology and the complexity and dynamics of the applications deployed on virtual machines (VMs), it is difficult for cloud service providers to evaluate the performance of VMs and thus cannot implement dynamic resource management effectively. To address this problem, this paper proposes an adaptive resource allocation approach. Firstly, we use the profiling tools to collect hardware counters and corresponding performance that reflect the resource usage in real time. Then, we select the data instances that contribute more to the performance prediction based on Gradient-based One Side Sampling (GOSS) to build a VM performance prediction model. When the prediction results indicate the performance cannot meet users' requirements, we further apply one of the reinforcement learning framework-Deep Deterministic Policy Gradient (DDPG) to optimize the allocation of fine-grained resources. Our proposed method enables adaptive allocation of fine-grained resources in cloud environment, and the extensive experiments demonstrate that the average accuracy of performance prediction by our proposed method surpasses 95%, whereas the metrics derived from the others ranges only between 75 and 97.5%. Furthermore, the average accuracy by our proposed method on the several benchmark applications is 88.4%, gaining a performance improvement of 9.1% compared to the suboptimal baseline. [ABSTRACT FROM AUTHOR]

Summary: Freezing is a widely used method for preserving fresh strawberries, and selecting appropriate thawing technologies is crucial for obtaining high‐quality thawed strawberries. Radio frequency technology provides a promising method owing to its expeditious uniform heating mode with substantial penetration depth. This study investigated the effects of radio frequency thawing (RFT) using electrode gaps of 12, 14, or 16 cm on the quality attributes of frozen strawberries, comparing them with refrigerator thawing (RT) and microwave thawing (MWT). The results illustrated that strawberries thawed by RFT exhibited significantly lower firmness loss and higher levels of anthocyanins and ascorbic acid compared to RT and MWT methods. Specifically, strawberries thawed with a 12‐cm electrode gap under RFT showed faster thawing rates, increased phenolic content, and enhanced antioxidant activity. Overall, radio frequency technology shows great potential in enhancing the quality of thawed strawberries. [ABSTRACT FROM AUTHOR]

In this work, a new treatment method combining ultrasonic vibration with FeCoNiCrCu high entropy alloy (HEA) coating was used to prepared Al/Mg bimetal through the lost foam compound casting. The effects of composite treatment involving ultrasonic vibration and HEA coating on interfacial microstructure and mechanical properties of Al/Mg bimetal were studied. Results demonstrate that the interface thickness of the Al/Mg bimetal with composite treatment significantly decreases to only 26.99% of the thickness observed in the untreated Al/Mg bimetal. The HEA coating hinders the diffusion between Al and Mg, resulting the significant reduction in Al/Mg intermetallic compounds in the interface. The Al/Mg bimetal interface with composite treatment is composed of Al3Mg2 and Mg2Si/AlxFeCoNiCrCu+FeCoNiCrCu/δ-Mg+Al12Mg17 eutectic structures. The interface resulting from the composite treatment has a lower hardness than that without treatment. The acoustic cavitation and acoustic streaming effects generated by ultrasonic vibration promote the diffusion of Al elements within the HEA coating, resulting in a significant improvement in the metallurgical bonding quality on the Mg side. The fracture position shifts from the Mg side of the Al/Mg bimetal only with HEA coating to the Al side with composite treatment. The shear strength of the Al/Mg bimetal increases from 32.16 MPa without treatment to 63.44 MPa with ultrasonic vibration and HEA coating, increasing by 97.26%. [ABSTRACT FROM AUTHOR]

The drag reduction efficacy of a large-scale flow control over a rough surface is studied via direct numerical simulations of turbulent channels (at friction Reynolds numbers R e τ = 180) by combining together wall riblets and streamwise counter-rotating swirls. In particular, the height of triangular riblets is h + ≈ 10 (+indicating wall units), while the number of riblets ( N Rib in the range 1–56) along the periodic spanwise direction is varied to find the optimum. The swirls are generated by the spanwise opposed wall-jet forcing (SOJF) in the Navier–Stokes equation, whose controlling parameters follow the optimal ones as for the smooth wall. In total, 12 cases of combined SOJF and riblets are performed to investigate the coupling effects between the two methods. We find a range of N Rib = 7 –14 (with the spanwise width z + ≈ 140 − 280) yields the largest drag reduction (up to 20%) for R e τ = 180 , much higher than riblets control only (about 3%). Compared to SOJF control only, riblets suppress the secondary swirls of SOJF hence decreasing drag, while the lateral and down washing motions of SOJF impinging on riblets would increase drag—the opposite two effects thus giving rise to an optimal. Through examinations on coherent structures, we elucidate that the attenuation of both large-scale coherent motions and small-scale random fluctuations leads to the net drag reduction. We conclude that large-scale control is a robust approach in the cases of rough surfaces, and the parameters can be selected for maximum drag reduction in each particular situation. [ABSTRACT FROM AUTHOR]

In spinless systems, growing attention has recently been attracted to synthetic gauge fields, which redefine the fundamental crystal symmetries by utilizing the projective algebraic relation. Hitherto, synthetic gauge fields have been commonly investigated in single orbital systems, and explorations on hybrid orbitals remain elusive in acoustics. Here, we report the experimental observation of hybrid topological phases induced by hybrid synthetic gauge flux, which is formed by the interaction between p and d orbitals embedded in acoustic cavities. By breaking the translation symmetries of Lx and/or Ly, we unambiguously demonstrate the first-order Möbius edge states and higher-order corner states. This work establishes a platform for seeking exotic topological phases induced by hybrid-orbitals interactions and initializing the framework of hybrid-orbitals-related topological physics. Potential applications can be anticipated in scenarios such as high-quality sensing and robust wave trapping due to the stepwise energy distribution of the hybrid topological phase. [ABSTRACT FROM AUTHOR]

Introduction: Autologous hematopoietic stem cell transplantation (ASCT) has gained extensive application in the treatment of lymphoma and multiple myeloma (MM). Plenty of studies demonstrate that peripheral blood indicators could be considered potential predictive biomarkers for hematopoietic stem cells (HSCs) collection efficiency, including white blood cell count (WBC), monocyte count (Mono), platelet count (PLT), hematocrit, and hemoglobin levels. Currently, clinically practical predictive models based on these peripheral detection indicators to quickly, conveniently, and accurately predict collection efficiency are lacking. Methods: In total, 139 patients with MM and lymphoma undergoing mobilization and collection of ASCT were retrospectively studied. The study endpoint was successful collection of autologous HSCs. We analyzed the effects of clinical characteristics and peripheral blood markers on collection success, and screened variables to establish a prediction model. We determined the optimal cutoff value of peripheral blood markers for predicting successful stem cell collection and the clinical value of a multi‐marker prediction approach. We also established a prediction model for collection efficacy. Results: Univariate and multivariate logistic regression analyses showed that the mobilization regimen, Mono, PLT, mononuclear cell count (MNC), and peripheral blood CD34+ cell count (PB CD34+ counts) were significant predictors of successful collection of peripheral blood stem cells (PBSC). Two predictive models were constructed based on the results of multivariate logistic analyses. Model 1 included the mobilization regimen, Mono, PLT, and MNC, whereas Model 2 included the mobilization regimen, Mono, PLT, MNC, and PB CD34+ counts. Receiver operating characteristic (ROC) curve analysis showed that the PB CD34+ counts, Model 1, and Model 2 could predict successful HSCs collection, with cutoff values of 26.92 × 106/L, 0.548, and 0.355, respectively. Model 1 could predict successful HSCs collection with a sensitivity of 84.62%, specificity of 75.73%, and area under the curve (AUC) of 0.863. Model 2 could predict successful HSCs collection with a sensitivity of 83.52%, specificity of 94.17%, and AUC of 0.946; thus, it was superior to the PB CD34+ counts alone. Conclusion: Our findings suggest that the combination of the mobilization regimen, Mono, PLT, MNC, and PB CD34+ counts before collection has predictive value for the efficacy of autologous HSCs collection in patients with MM and lymphoma. Using models based on these predictive markers may help to avoid over‐collection and improve patient outcomes. [ABSTRACT FROM AUTHOR]

This study aimed to investigate ultrasound features of arteriovenous fistula stenosis and their relationship with primary patency after percutaneous transluminal angioplasty (post-intervention primary patency) and compare this classification with that using lesion location. Hemodialysis patients who underwent ultrasound-guided percutaneous transluminal angioplasty for arteriovenous fistula stenosis from July 2020 to December 2021 were retrospectively evaluated. Lesions (excluding inflow arteries) were categorized into five groups based on ultrasound features, and the clinical characteristics and risk factors affecting the post-intervention primary patency of the arteriovenous fistula were analyzed. Among 185 patients, 100 (54.05%), 36 (19.46%), 22 (11.89%), 11 (5.95%), and 16 (8.65%) were classified into the intima-dominant, non-intima-dominant, valve obstruction, vascular calcification, and mixed groups, respectively. The dialysis duration and arteriovenous fistula use time were the highest in the vascular calcification group at 86 (interquartile range: 49–140) and 77 (interquartile range: 49–110) months, respectively. Diabetes mellitus was most common in the intima-dominant group (42.0%). In Kaplan–Meier and univariate Cox analysis, type III lesion location (stenosis in the venous confluence site) was associated with the lower post-intervention primary patency. In the multivariate Cox analysis, percutaneous transluminal angioplasty times (the number of times patients were treated with percutaneous transluminal angioplasty for arteriovenous fistula stenosis dysfunction), vascular calcification, calcification at the lesion site requiring percutaneous transluminal angioplasty, and serum parathyroid hormone levels were independent risk factors for post-intervention primary patency. Ultrasound features showed that calcification of the arteriovenous fistula was detrimental to the post-intervention primary patency of arteriovenous fistula. [ABSTRACT FROM AUTHOR]

Background: Arg‐gingipain A (RgpA) is the primary virulence factor of Porphyromonas gingivalis and contains hemagglutinin adhesin (HA), which helps bacteria adhere to cells and proteins. Hemagglutinin's functional domains include cleaved adhesin (CA), which acts as a hemagglutination and hemoglobin‐binding actor. Here, we confirmed that the HA and CA genes are immunogenic, and using adjuvant chemokine to target dendritic cells (DCs) enhanced protective autoimmunity against P. gingivalis–induced periodontal disease. Methods: C57 mice were immunized prophylactically with pVAX1‐CA, pVAX1‐HA, pVAX1, and phosphate‐buffered saline (PBS) through intramuscular injection every 2 weeks for a total of three administrations before P. gingivalis–induced periodontitis. The DCs were analyzed using flow cytometry and ribonucleic acid sequencing (RNA‐seq) transcriptomic assays following transfection with CA lentivirus. The efficacy of the co‐delivered molecular adjuvant CA DNA vaccine was evaluated in vivo using flow cytometry, immunofluorescence techniques, and micro‐computed tomography. Results: After the immunization, both the pVAX1‐CA and pVAX1‐HA groups exhibited significantly elevated P. gingivalis–specific IgG and IgG1, as well as a reduction in bone loss around periodontitis‐affected teeth, compared to the pVAX1 and PBS groups (p < 0.05). The expression of CA promoted the secretion of HLA, CD86, CD83, and DC‐specific intercellular adhesion molecule‐3‐grabbing non‐integrin (DC‐SIGN) in DCs. Furthermore, the RNA‐seq analysis revealed a significant increase in the chemokine (C–C motif) ligand 19 (p < 0.05). A notable elevation in the quantities of DCs co‐labeled with CD11c and major histocompatibility complex class II, along with an increase in interferon‐gamma (IFN‐γ) cells, was observed in the inguinal lymph nodes of mice subjected to CCL19‐CA immunization. This outcome effectively illustrated the preservation of peri‐implant bone mass in rats afflicted with P. gingivalis–induced peri‐implantitis (p < 0.05). Conclusions: The co‐administration of a CCL19‐conjugated CA DNA vaccine holds promise as an innovative and targeted immunization strategy against P. gingivalis–induced periodontitis and peri‐implantitis. [ABSTRACT FROM AUTHOR]

During neuronal pruning, phagocytes engulf shed cellular debris to avoid inflammation and maintain tissue homeostasis. How phagocytic receptors recognize degenerating neurites had been unclear. Here, we identify two glucosyltransferases Alg8 and Alg10 of the N-glycosylation pathway required for dendrite fragmentation and clearance through genetic screen. The scavenger receptor Draper (Drpr) is N-glycosylated with complex- or hybrid-type N-glycans that interact specifically with galectins. We also identify the galectins Crouching tiger (Ctg) and Hidden dragon (Hdg) that interact with N-glycosylated Drpr and function in dendrite pruning via the Drpr pathway. Ctg and Hdg are required in hemocytes for expression and function, and are induced during dendrite injury to localize to injured dendrites through specific interaction with exposed phosphatidylserine (PS) on the surface membrane of injured dendrites. Thus, the galectins Ctg and Hdg bridge the interaction between PS and N-glycosylated Drpr, leading to the activation of phagocytosis.How Draper activates phagocytosis is not well understood. Here, the authors show that two Drosophila galectins, Hdg and Ctg, are secreted from hemocytes after dendrite injury and bridge phosphatidylserine and Draper to active phagocytosis. [ABSTRACT FROM AUTHOR]

Designing a nanofluidic membrane with high selectivity and fast ion transport property is the key towards high‐performance osmotic energy conversion. However, most of reported membranes can produce power density less than commercial benchmark (5 W/m2), due to the imbalance between ion selectivity and permeability. Here, we report a novel nanoarchitectured design of a heterogeneous membrane with an ultrathin and dense zirconium‐based UiO‐66‐NH2 metal–organic framework (MOF) layer and a highly aligned and interconnected branched alumina nanochannel membrane. The design leads to a continuous trilayered pore structure of large geometry gradient in the sequence from angstrom‐scale to nano‐scale to sub‐microscale, which enables the enhanced directional ion transport, and the angstrom‐sized (~6.6–7 Å) UiO‐66‐NH2 windows render the membrane with high ion selectivity. Consequently, the novel heterogeneous membrane can achieve a high‐performance power of ~8 W/m2 by mixing synthetic seawater and river water. The power density can be largely upgraded to an ultrahigh ~17.1 W/m2 along with ~48.5 % conversion efficiency at a 50‐fold KCl gradient. This work not only presents a new membrane design approach but also showcases the great potential of employing the zirconium‐based MOF channels as ion‐channel‐mimetic membranes for highly efficient blue energy harvesting. [ABSTRACT FROM AUTHOR]

Designing a nanofluidic membrane with high selectivity and fast ion transport property is the key towards high‐performance osmotic energy conversion. However, most of reported membranes can produce power density less than commercial benchmark (5 W/m2), due to the imbalance between ion selectivity and permeability. Here, we report a novel nanoarchitectured design of a heterogeneous membrane with an ultrathin and dense zirconium‐based UiO‐66‐NH2 metal–organic framework (MOF) layer and a highly aligned and interconnected branched alumina nanochannel membrane. The design leads to a continuous trilayered pore structure of large geometry gradient in the sequence from angstrom‐scale to nano‐scale to sub‐microscale, which enables the enhanced directional ion transport, and the angstrom‐sized (~6.6–7 Å) UiO‐66‐NH2 windows render the membrane with high ion selectivity. Consequently, the novel heterogeneous membrane can achieve a high‐performance power of ~8 W/m2 by mixing synthetic seawater and river water. The power density can be largely upgraded to an ultrahigh ~17.1 W/m2 along with ~48.5 % conversion efficiency at a 50‐fold KCl gradient. This work not only presents a new membrane design approach but also showcases the great potential of employing the zirconium‐based MOF channels as ion‐channel‐mimetic membranes for highly efficient blue energy harvesting. [ABSTRACT FROM AUTHOR]

Suspended particulate matter (SPM) concentrations and associated estuarine high turbidity zones (HTZ) play crucial role in maintaining delta land building, coastal wetlands and marine ecosystems. In the background of new watersediment delivery regime and major geomorphological transition in delta, the long-term change characteristics and driving mechanisms of SPM and HTZ in the Yellow River Estuary (YRE) are not clarified. In this study, it was found that the existing SPM models could not be adapted to the extremely turbid YRE, for which a novel SPM retrieval algorithm and HTZ extraction method were developed. Spatiotemporal dynamics of SPM and HTZ in YRE from 1984 to 2023 were investigated using 798 Landsat TM/ETM+/OLI imageries. Results indicated that our proposed SPM algorithm outperformed all the previous models of YRE (R2 > 0.95, relative percentage difference (RPD)< 22%), and high accuracies were achieved for both satellite-derived SPM (RPD = 33.01%) and HTZ (overall accuracy = 94%). Over the last four decades, both SPM concentration and HTZ distribution area in YRE had demonstrated an increasing and then decreasing trend, reaching a peak around 1996. HTZ experienced four morphological transformations involving the circular shape surrounding coast (1984-1993), the enlarged southeasterly ovoid shape (1994-2007), the circle-like shape (2007-2017) and the thin northeasterly ovoid shape (2018-2023). Riverine sediment load and strong-wind frequency controlled 67% of interannual SPM variability in the study area, and the former contributed more. Moreover, combination of weakening ocean dynamics and coastal erosion, coarsening of sediments, and coastal defense structures led to an exponential decline of SPM concentrations in northern subregion. High sediment discharge and rapid accretion of estuarine spit in 1984-1996 resulted in increased SPM concentrations in southern subregion and a quick expansion of HTZ into Laizhou Bay. With the geomorphological evolution of new and old estuaries, the high velocity zone and strong bottom shear stress zone were consequently adjusted, which explained the interannual variability of SPM and HTZ in the region. This study will contribute to understanding of the long-term evolutionary patterns of the coupled system consisting of runoff-tidal dynamics, sediment transport and geomorphological development in the estuary. [ABSTRACT FROM AUTHOR]

FeSi soft magnetic composites (SMCs) were fabricated using nano-SiO2/epoxy silicone resin (ESR) as insulating layers, and the influence of SiO2 content on microstructure and magnetic properties of soft magnetic composites were investigated. The introduction of suitable nano-SiO2 into epoxy silicone resin increase the density, permeability and resistivity which then reduce of magnetic loss of SMCs. SiO2 nanoparticles distribute in the ESR and coat on the magnetic metal particle surface, and the formation of insulating coating caused by the addition of SiO2 nano-particles reduce the magnetic loss and which can be attributed to the reduction of eddy-current loss. Excess SiO2 addition result in the aggregation of SiO2 particle between magnetic particles, which then destroy magnetic performance. The SMCs with 0.50 wt% SiO2 has the optimized performance with high effective permeability (94) and reduced magnetic loss (152.03 mW/cm3, at 100 kHz and 40 mT). And the influence of introduce of SiO2 particles on the microstructure and magnetic properties was discussed. [ABSTRACT FROM AUTHOR]