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There is limited evidence regarding the effects of long‐term exposure to PM2.5 constituents on the risk of arthritis and rheumatoid arthritis, and the interaction between PM2.5 and green space remains unclear. This study examined the relationship between long‐term exposure to PM2.5 constituents and the risk of arthritis and rheumatoid arthritis, with the exposure period extending from recruitment until self‐reported outcomes, death, loss to follow‐up, or end of follow‐up. Additionally, the study assessed whether there was an interactive effect between PM2.5 and green space on these risks. We gathered cohort data on 18,649 individuals aged ≥45 years. We applied generalized linear mixed‐effects models to estimate the effects of PM2.5 constituents, NDVI, and their interaction on arthritis and rheumatoid arthritis. The quantile g‐computation and weighted quantile sum regression model were applied to estimate the combined effect of PM2.5 constituents. Our results showed that exposure to single and mixed PM2.5 constituents adversely affected arthritis and rheumatoid arthritis, and was mainly attributed to the black carbon component. We observed "U" or "J" shaped exposure‐response curves for the effects of PM2.5, OM, NO3− and NH4+ exposure on the development of arthritis/rheumatoid arthritis. Additionally, the odds ratio of arthritis for per interquartile range (IQR) increase in PM2.5 was 1.209 (95% CI:1.198, 1.221), per 0.1‐unit decrease in NDVI was 1.091 (95% CI:1.033, 1.151), and the interaction term was 1.005 (95% CI:1.002, 1.007). These findings flesh out the existing evidence for PM2.5 constituents, NDVI and arthritis, rheumatoid arthritis, but the underlying mechanisms still require further exploration. Plain Language Summary: This study aims to explore the correlation between long‐term exposure to PM2.5 constituents and the incidence of arthritis and rheumatoid arthritis, as well as to evaluate whether there is a synergistic effect of PM2.5 and green spaces on the risk of these conditions. The generalized linear mixed‐effects model was utilized to analyze the impact of PM2.5 constituents, NDVI, and their interactions on arthritis and rheumatoid arthritis. The joint effects of PM2.5 constituents were assessed using quantile g‐computation and weighted quantile sum regression model. Our results indicated that both individual and mixed exposures to PM2.5 constituents have adverse effects on arthritis and rheumatoid arthritis, primarily attributed to the black carbon component. Additionally, the odds ratio of arthritis for per interquartile range (IQR) increase in PM2.5 was 1.209 (95% CI:1.198, 1.221), per 0.1‐unit decrease in NDVI was 1.091 (95% CI:1.033, 1.151), and the interaction term was 1.005 (95% CI:1.002, 1.007). Key Points: PM2.5 constituents and green space are associated with the incidence of arthritisPM2.5 exposure and reduced greenness had a synergistic effect on arthritisThe risk of arthritis was higher in urban participants than in rural participants [ABSTRACT FROM AUTHOR]

This article examines the evolution of the authoritarian developmental state model in the digital era amid intensified global power dynamics, focusing empirically on China. It introduces the concept of the techno-developmental state to illustrate how this evolved state emphasizes digital technologies for both economic growth and social governance. I assert that this evolution is driven by the state's enhanced capacity to foster high-tech industries amid heightened competition among major powers, alongside bolstered social governance through advanced digital tools. Emphasizing its crucial role in sustaining authoritarian developmentalism, the article analyzes the emergence of the Chinese techno-developmental state amid escalating US–China technological rivalry. It also scrutinizes the New Infrastructure initiative of the early 2020s as the state's key initiative to drive its economic and governance agendas. [ABSTRACT FROM AUTHOR]

Shandong Province in China is rich in paleontological fossils and has a long history of fossil research. However, research on the distribution characteristics and potential factors of discovered fossil sites in Shandong Province is limited and insufficient, making it difficult to comprehensively plan for the protection and utilization of fossil sites in Shandong Province. The study constructs a basic geographical information system (GIS) database with 133 discovered fossil sites and geological and socio-economic data of Shandong Province and studies fossil sites' spatial distribution characteristics and the spatial relationship with potential factors at a regional scale. The results are as follows: (1) The fossil sites in Shandong Province are concentrated in the mountainous area of central Shandong and the hilly area of the Shandong Peninsula, with significant uneven distribution characteristics, including two agglomeration areas and seven sub-agglomeration areas. (2) Natural geographical conditions, such as topography, paleogeography, and stratigraphy, play a positive role in the distribution of fossil sites, and there are apparent concentrations in the following areas: at an altitude greater than 100 m; the Lower Paleozoic and Cretaceous sedimentary rocks; and the active areas of paleo-tectonics. (3) A certain degree of negative correlation exists between socio-economic conditions, such as roads and population density, and the number of fossil sites, and a positive correlation exists between disposable personal income and those fossil sites. The operational procedure presented here is a simple, objective, applicable method that can enhance our understanding of the spatial distribution patterns and influencing factors of the discovered fossil sites of Shandong Province and support more effective and appropriate planning for paleontological heritage conservation. [ABSTRACT FROM AUTHOR]

Background MSA-2, as an oral molecule for activating STING signaling pathway to cure the tumor entering clinical trials. The toxicity of MSA-2 has aroused wide concern, especially the reproductive toxicity can not be ignored. Objectives We synthesized the STING agonist (MSA-2) and its derivative manganese-MSA-2 (MSA-2-Mn) and investigated the reproductive toxicity. Methods We evaluated the reproductive effects of MSA-2 and MSA-2-Mn in female mice under the administration alone and on the reproductive system of male mice in the presence or absence of combined radiation. Results Results suggested that MSA-2 and MSA-2-Mn have negligible reproductive toxicity in healthy adults. Conclusions: This provides new ideas to enhance the efficacy of immunotherapy, as well as favorable evidence for future systemic dosing in patients of reproductive age and clinical trials of immunotherapy. [ABSTRACT FROM AUTHOR]

The basic helix–loop–helix (bHLH) gene family is a crucial regulator in plants, orchestrating various developmental processes, particularly flower formation, and mediating responses to hormonal signals. The molecular mechanism of bamboo flowering regulation remains unresolved, limiting bamboo breeding efforts. In this study, we identified 309 bHLH genes and divided them into 23 subfamilies. Structural analysis revealed that proteins in specific DlbHLH subfamilies are highly conserved. Collinearity analysis indicates that the amplification of the DlbHLH gene family primarily occurs through segmental duplications. The structural diversity of these duplicated genes may account for their functional variability. Many DlbHLHs are expressed during flower development, indicating the bHLH gene's significant role in this process. In the promoter region of DlbHLHs, different homeopathic elements involved in light response and hormone response co-exist, indicating that DlbHLHs are related to the regulation of the flower development of D. latiflorus. [ABSTRACT FROM AUTHOR]

The study aimed to investigate the pattern and trend of Musculoskeletal (MSK) disorders in people aged 5–19 years from 1990 to 2021. The data was sourced from the Global Burden of Disease study 2021. The Age-standardized DALYs rates (ASDR), age-standardized mortality rate (ASMR), age-standardized prevalence rate (ASPR), and age-standardized incidence rate (ASIR) and their corresponding average annual percent change (AAPC) for MSK disorders were evaluated by sex, region, and sociodemographic index (SDI) quintiles. Globally, the ASPR of MSK disorders among children and adolescents increased per 100,000 population from 3048.66 (95% confidence interval [CI]: 2336.68–3887.02) in 1990 to 3105.46 (95% CI: 2421.09–3904.95) in 2021 (AAPC 0.06 [95% CI: 0.05–0.07]). In 2021, individuals aged 15–19 experienced the highest burden compared to those aged 5–9 and 10–14. In 2021, high SDI countries had the highest ASIR, ASPR, ASDR of MSK disorders. The AAPC of ASPR in high SDI countries showed a stark contrast to that in low SDI countries for the same period (AAPC 0.48 vs. AAPC −0.03). From 1990 to 2021, in low SDI and low-middle SDI countries, the increase in DALYs was primarily due to population growth. However, in middle SDI, high-middle, and high SDI countries, the increases were mainly due to epidemiological changes. Globally, patients aged 10–14 experienced better care compared to those in the 5–9 and 15–19 age groups. Specific preventive health measures are needed for females and adolescents aged 15–19 in high SDI countries. [ABSTRACT FROM AUTHOR]

Viral infections pose significant threats to human health, leading to a diverse spectrum of infectious diseases. The innate immune system serves as the primary barrier against viruses and bacteria in the early stages of infection. A rapid and forceful antiviral innate immune response is triggered by distinguishing between self-nucleic acids and viral nucleic acids. RNA-binding proteins (RBPs) are a diverse group of proteins which contain specific structural motifs or domains for binding RNA molecules. In the last decade, numerous of studies have outlined that RBPs influence viral replication via diverse mechanisms, directly recognizing viral nucleic acids and modulating the activity of pattern recognition receptors (PRRs). In this review, we summarize the functions of RBPs in regulation of host-virus interplay by controlling the activation of PRRs, such as RIG-I, MDA5, cGAS and TLR3. RBPs are instrumental in facilitating the identification of viral RNA or DNA, as well as viral structural proteins within the cellular cytoplasm and nucleus, functioning as co-receptor elements. On the other hand, RBPs are capable of orchestrating the activation of PRRs and facilitating the transmission of antiviral signals to downstream adaptor proteins by post-translational modifications or aggregation. Gaining a deeper comprehension of the interaction between the host and viruses is crucial for the development of novel therapeutics targeting viral infections. [ABSTRACT FROM AUTHOR]

The Acoustic Black Hole (ABH) is an effective structure for harvesting and dissipating energy from flexural waves. It works by reducing the thickness of the ABH wedge in a power law relationship with m ≥ 2, which rapidly decreases the local phase velocity of flexural waves and leads to an energy convergence effect. However, the vibration performance may differ if the tapered wedge does not meet the requirements of a typical ABH. This article introduces and discusses two types of "pseudo-ABH" wedges: linear-degenerate ABH and step-degenerate ABH. These wedges do not follow the power-law and continuity conditions of typical ABH, respectively. To establish the dynamic models of pseudo-ABH wedges, the lumped-mass transfer matrix method (LTMM) and traveling wave analysis are introduced and validated using analytic solutions of the non-uniform one-dimensional Euler-Bernoulli beam and finite element method. Meanwhile, a good match between the results of the Timoshenko and Euler-Bernoulli beam theory also indicates the correctness of our model. The energy ratio and reflection coefficient are defined to characterize the energy accumulation effect and vibration absorption performance of the pseudo-ABH wedges. The vibration performance of the linear-degenerate ABH is closer to the typical ABH than the step-degenerate ABH. The step-degenerate ABH has more effective energy accumulation and reduction performance for individual frequencies. However, as the number of segments in the step-degenerate ABH increases, its dynamic performance becomes closer to that of the typical ABH. The novelty of this article is to study vibration energy accumulation and absorption characteristics of pseudo acoustic black hole wedges using LTMM model, disclose the differences of linear and step degenerate ABH for their performance, and recommend the step degenerate ABH in place of the typical ABH of a power law thickness relationship. [ABSTRACT FROM AUTHOR]

Bacterial evolution, particularly in hospital settings, is leading to an increase in multidrug resistance. Understanding the basis for this resistance is critical as it can drive discovery of new antibiotics while allowing the clinical use of known antibiotics to be optimized. Here, we report a photoactive chemical probe for superresolution microscopy that allows for the in situ probing of antibiotic-induced structural disruption of bacteria. Conjugation between a spiropyran (SP) and galactose via click chemistry produces an amphiphilic photochromic glycoprobe, which self-assembles into glycomicelles in water. The hydrophobic inner core of the glycomicelles allows encapsulation of antibiotics. Photoirradiation then serves to convert the SP to the corresponding merocyanine (MR) form. This results in micellar disassembly allowing for release of the antibiotic in an on-demand fashion. The glycomicelles of this study adhere selectively to the surface of a Gram-negative bacterium through multivalent sugar-lectin interaction. Antibiotic release from the glycomicelles then induces membrane collapse. This dynamic process can be imaged in situ by superresolution spectroscopy owing to the "fluorescence blinking" of the SP/MR photochromic pair. This research provides a high-precision imaging tool that may be used to visualize how antibiotics disrupt the structural integrity of bacteria in real time. [ABSTRACT FROM AUTHOR]

When using runoff infiltration devices to remove nitrogen and phosphorus pollutants from urban runoff, the quality of the effluent is affected by the length of dry spells between rain events. This study presents a novel analysis of how these dry periods impact the device's effectiveness in removing pollutants and the resulting biological succession within the filter. Our analysis examines nitrogen and phosphorus removal in a rainwater filtration context, providing new insights into how dry period duration influences infiltration system performance. The results indicate that biological processes have a significant impact on reducing total nitrogen (TN) and total phosphorus (TP) contents under different drying periods. A 3-day drying period is most effective for reducing TN through biological processes, while a 7-day period is best for TP reduction. This suggests that moderately extending the drying period improves TP removal efficiency but does not enhance TN removal. The dominant bacterial phylum responsible for denitrification and phosphorus removal is Proteobacteria, with Pseudomonas and Acinetobacter as the leading genera. As the drying period lengthens, the dominant genera shift from Pseudomonas to Massilia. At a 3-day drying period, denitrification primarily occurs through Pseudomonas on the surfaces of maifanite and zeolite. At a 7-day dry-out period, Acinetobacter is mainly responsible for phosphate removal on maifanite surfaces. However, after a 14-day dry-out period, both biomass and bioactivity of Pseudomonas and Acinetobacter decrease, leading to reduced efficiency in removing nitrogen and phosphorus pollutants from runoff infiltration devices. These results aid in developing runoff infiltration devices for specific scenarios and offer crucial guidance for regulating runoff pollution control technologies. [ABSTRACT FROM AUTHOR]

Objectives: Emerging research has investigated the potential impact of several modifiable risk factors on the risks of rheumatoid arthritis (RA), but the findings did not yield consistent results. This study aimed to comprehensively explore the genetic causality between modifiable risk factors and the susceptibility of RA risk using the Mendelian randomization (MR) approach. Methods: Genetic instruments for modifiable risk factors were selected from several genome‐wide association studies at the genome‐wide significance level (p < 5 × 10−8), respectively. Summary‐level data for RA were sourced from a comprehensive meta‐analysis. The causal estimates linking modifiable risk factors to RA risk were assessed using MR analysis with inverse variance weighting (IVW), MR‐Egger, weighted, and weighted median methods. Results: After Bonferroni correction for multiple tests, we found the presence of causality between educational attainment and RA, where there were protective effects of educational attainment (college completion) (odds ratio [OR] = 0.50, 95% CI = 0.36, 0.69, p = 2.87E‐05) and educational attainment (years of education) (OR = 0.93, 95% CI = 0.90, 0.96, p = 4.18E‐06) on the lower RA risks. Nevertheless, smoking initiation was observed to be associated with increased RA risks (OR = 1.27, 95% CI = 1.09, 1.47, p =.002). Moreover, there was no indication of horizontal pleiotropy of genetic variants during causal inference between modifiable risk factors and RA. Conclusions: Our study reveals the genetic causal impacts of educational attainment and smoking on RA risks, suggesting that the early monitoring and recognition of modifiable risk factors would be beneficial for the preventive counseling/treatment strategies for RA. [ABSTRACT FROM AUTHOR]

Transcription factors (TFs) are crucial pre-transcriptional regulatory mechanisms that can modulate the expression of downstream genes by binding to their promoter regions. DOF (DNA binding with One Finger) proteins are a unique class of TFs with extensive roles in plant growth and development. Our previous research indicated that iron content varies among bamboo leaves of different colors. However, to our knowledge, genes related to iron metabolism pathways in bamboo species have not yet been studied. Therefore, in the current study, we identified iron metabolism related (IMR) genes in bamboo and determined the TFs that significantly influence them. Among these, DOFs were found to have widespread effects and potentially significant impacts on their expression. We identified specific DOF members in Dendrocalamus latiflorus with binding abilities through homology with Arabidopsis DOF proteins, and established connections between some of these members and IMR genes using RNA-seq data. Additionally, molecular docking confirmed the binding interactions between these DlDOFs and the DOF binding sites in the promoter regions of IMR genes. The co-expression relationship between the two gene sets was further validated using q-PCR experiments. This study paves the way for research into iron metabolism pathways in bamboo and lays the foundation for understanding the role of DOF TFs in D. latiflorus. [ABSTRACT FROM AUTHOR]

In order to investigate the adsorption process of malachite green (MG) on gold nanoparticles, a simple gold nanoparticles‐assembled film was prepared as a substrate of surface‐enhanced Raman spectroscopy (SERS), and it was soaked in MG solutions of different concentrations. The kinetic adsorption process was investigated by SERS method and density functional theoretical calculations. When saturated adsorption was achieved, the relationship between the characteristic SERS band signal intensity and the logarithm of solution concentration of MG was consistent with Temkin adsorption isotherm model, where the R2 value was greater than 0.995, and the linear range was 1 × 10−3–1 × 10−7 M. Finally, a SERS quantitative analysis model of the relationship between the adsorption properties of surface species and the bulk concentration was established. According to the electrostatic interaction and co‐adsorption, we proposed the surface adsorption configurations and adsorption process of MG on the nanostructured gold films. [ABSTRACT FROM AUTHOR]

Background Since the severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) infection exhibits multi-organ damage with diverse complications, the correlation between age, gender, medical history and clinical manifestations of novel coronavirus disease 2019 (COVID-19) patients was investigated. Methods 1640 patients who were infected with SARS-CoV-2 and hospitalized at the First Affiliated Hospital of Ningbo University from 22 December 2022 to 1 March 2023 were categorized and analysed. Normal distribution test and variance homogeneity test were performed. Based on the test results, one-way analysis of variance, Pearson's chi-squared test and logistic regression analysis were conducted in the study. Results According to the ANOVA, there was a significant difference in the age distribution (P  = .001) between different clinical presentations, while gender did not (P  = .06). And regression analysis showed that age, hypertension, atherosclerosis and cancer were significant hazard factors for the development of predominant clinical manifestations in patients hospitalized with novel COVID-19. Additionally, infection with SARS-CoV-2 has the potential to exacerbate the burden on specific diseased or related organs. Conclusion The elderly who are infected with SARS-CoV-2 ought to be treated with emphasis not only on antiviral therapy but also on individualized treatment that takes their medical history and comorbidities into account. [ABSTRACT FROM AUTHOR]

Ma bamboo (Dendrocalamus latiflorus Munro) is a fast-growing woody grass that offers significant economic benefits, including materials for construction, furniture, biofuel, food, and handicrafts. It also provides ecological benefits like soil conservation, wildlife habitats, and carbon sequestration. However, its species distribution patterns are influenced by various factors, including climate (mainly temperature and precipitation), soil attributes, and landscape characteristics such as topography, land use, and vegetation. Understanding these impacts is essential for the sustainable management of D. latiflorus resources and fostering related economic activities. To address these challenges, we developed a comprehensive habitat suitability (CHS) model that integrates climate, soil, and landscape variables to simulate the distribution dynamics of D. latiflorus under different shared socio-economic pathway (SSP) scenarios. An ensemble model (EM) strategy was applied to each variable set to ensure robust predictions. The results show that the current potential distribution of D. latiflorus spans 28.95 × 104 km2, primarily located in South China and the Sichuan Basin. Its distribution is most influenced by the annual mean temperature (Bio1), the cation exchange capacity of soil clay particles in the 20–40 cm soil layer (CECc 20–40 cm), vegetation, and elevation. Under future climate scenarios, these habitats are projected to initially expand slightly and then contract, with a northward shift in latitude and migration to higher elevations. Additionally, the Sichuan Basin (Sichuan–Chongqing border) is identified as a climatically stable area suitable for germplasm development and conservation. To conclude, our findings shed light on how climate change impacts the geographic distribution of D. latiflorus, providing key theoretical foundations for its sustainable cultivation and conservation strategies. [ABSTRACT FROM AUTHOR]

An efficient phosphine-catalyzed dearomative [3+2] annulation of 4-nitroisoxazoles with allenoates or Morita–Baylis–Hillman carbonates has been established for the convenient synthesis of bicyclic isoxazoline derivatives. This reaction approach showed a broad substrate scope, high functional group compatibility, and excellent regioselectivity and diastereoselectivity. Furthermore, the success at the gram-scale and synthetic applications of the obtained compound 3a demonstrate the great potential of this methodology for practical applications in organic synthesis. [ABSTRACT FROM AUTHOR]

Layered nickel-rich oxides, Li(NixCoyMn1–x–y)O2 (x ≥ 0.6), exhibit a high reversible capacity of over 200 mAh/g, ranking as one of the greatest attractive cathode materials for lithium-ion batteries. Nevertheless, their performance stability decreases with increasing Ni content, and conventional synthesis methods are difficult to control the lattice order, resulting in poor cyclic performance. To address above issues, this study aims skillfully to utilize CH3COOLi as the secondary lithium source combining with LiOH obtaining high-performance Li(Ni0.8Co0.1Mn0.1)O2 single crystalline cathode material by a comparatively lower temperature solid-state route. The synthesized single crystal materials are represented by XRD, SEM, TEM, XPS, and electrochemical means to analyze physicochemical characteristics, along with benefits of CH3COOLi, are discussed. The research findings demonstrate that uniform particle size distribution with regular morphology, intact crystal structure, and relatively high level of crystallinity can be achieved without damage after sintering under the described conditions. The material exhibits a specific capacity of 205 mAh/g at a rate of 0.2 C, as well as retention of 92.68% after 100 cycles at 25 °C. This investigation offers new perspectives into the synthesis and application of single-crystal Ni-rich cathode materials, revealing valuable references for enhancing the performance of lithium-ion batteries. [ABSTRACT FROM AUTHOR]

The adsorption and desorption of phosphorus (P) in soil constitute a crucial internal cycle that is closely associated with soil fertility, exerting direct influence on the quantity, form, and availability of P within the soil. The vertical spatial variation characteristics of soil adsorption and desorption were investigated for the 0–100 cm soil layer in the northeast black soil region in this study. The maximum adsorption capacity (Qmax) and maximum adsorption buffer capacity (MBC) of black soil in the study area ranged from 313.8 to 411.9 mg kg-1 and from 3.1 to 28.8 L kg-1, respectively, within the soil layer of 0–100 cm depth, exhibiting an increasing trend with greater soil depth. The degree of P adsorption saturation (DPS) exhibited a contrasting trend with the variations in Qmax and MBC, ranging from 3.8% to 21.6%. The maximum desorption capacity (Dmax) and desorption rate (Dr) of soil P ranged from 112.8 to 215.7 mg kg-1 and 32.1% to 52.5%, respectively, while the readily desorbable P (RDP) in soil was within the range of 1.02 to 3.35 mg kg-1. Both Dmax, Dr, and RDP exhibited a decreasing trend with increasing soil depth before showing an upward trend. These research findings not only provide essential background data for the systematic investigation of soil P in the black soil region but also serve as a valuable reference for assessing soil quality in this area. [ABSTRACT FROM AUTHOR]

Irritable bowel syndrome (IBS) is a prevalent functional gastrointestinal disease characterized by chronic visceral pain with a complex etiology and challenging treatment. Although accumulating evidence supports the involvement of central nervous system sensitization in the development of visceral pain, the precise molecular mechanisms remain incompletely understood. In this study, we highlight the critical regulatory role of lysine-specific demethylase 6B (KDM6B) in the anterior cingulate cortex (ACC) in chronic visceral pain. To simulate clinical IBS conditions, we utilized the neonatal maternal deprivation (NMD) mouse model. Our results demonstrated that NMD induced chronic visceral pain and anxiety-like behaviors in mice. Notably, the protein expression level of KDM6B significantly increased in the ACC of NMD mice, leading to a reduction in the expression level of H3K27me3. Immunofluorescence staining revealed that KDM6B primarily co-localizes with neurons in the ACC, with minimal presence in microglia and astrocytes. Injecting GSK-J4 (a KDM6B-specific inhibitor) into ACC of NMD mice, resulted in a significant alleviation in chronic visceral pain and anxiety-like behaviors, as well as a remarkable reduction in NR2B expression level. ChIP assay further indicated that KDM6B regulates NR2B expression by influencing the demethylation of H3K27me3. In summary, our findings underscore the critical role of KDM6B in regulating chronic visceral pain and anxiety-like behaviors in NMD mice. These insights provide a basis for further understanding the molecular pathways involved in IBS and may pave the way for targeted therapeutic interventions. [ABSTRACT FROM AUTHOR]

The effect of low‐FODMAPs diet on irritable bowel syndrome (IBS) in Western China has not been reported. We aimed to investigate the effect of low‐FODMAPs diet on IBS patients in the area and whether low‐FODMAPs diet‐induced alterations of microbiota could be improved through probiotics. IBS patients were randomized to the control group, low‐FODMAPs diet group, probiotics group, or combined group. IBS Symptom Severity Score questionnaire (IBS‐SSS) and IBS Quality of Life Score questionnaire (IBS‐QOL) were completed at baseline, 2 and 4 weeks to evaluate the severity of symptoms. Fresh feces were collected for analyses of gut microbiota and short‐chain fatty acids at baseline and 4 weeks after intervention. Seventy‐three patients were included in the per protocol analysis. After intervention, there was significant improvement in IBS‐SSS in the low‐FODMAPs group (37.5%, 44.2%), probiotics group (51.4%, 62.0%), and combined group (34.1%, 40.4%) at both 2 weeks and 4 weeks, compared with the baseline (p <.05). In the low‐FODMAPs group, the abundance of several microbiota (Lachnoclostridium, Enterococcus, etc.) was significantly decreased. Furthermore, after the supplementation of probiotics in the combined group, the abundance of Genus_Ruminococcus, Coprococcus, Acidaminococcus, Ruminiclostridium, Akkermansia, Eggerthella, and Oxalobacter was significantly increased, which was associated with the improvements of symptoms score in the Pearson correlation analysis. Our study confirmed the effectiveness and safety of short‐term low‐FODMAPs diet in IBS symptoms based on the Chinese diet in Western China. The combination of low‐FODMAPs and probiotics plays a beneficial role in gut microbiota in IBS. [ABSTRACT FROM AUTHOR]

Purpose: Adhesion between calcium oxalate crystals and renal tubular epithelial cells is a vital cause of renal stone formation; however, the drugs that inhibit crystal adhesion and the mechanism of inhibition have yet to be explored. Methods: The cell injury model was constructed using nano-COM crystals, and changes in oxidative stress levels, endoplasmic reticulum (ER) stress levels, downstream p38 MAPK protein expression, apoptosis, adhesion protein osteopontin expression, and cell–crystal adhesion were examined in the presence of Laminarin polysaccharide (DLP) and sulfated DLP (SDLP) under protected and unprotected conditions. Results: Both DLP and SDLP inhibited nano-COM damage to human kidney proximal tubular epithelial cell (HK-2), increased cell viability, decreased ROS levels, reduced the opening of mitochondrial membrane permeability transition pore, markedly reduced ER Ca2+ ion concentration and adhesion molecule OPN expression, down-regulated the expression of ER stress signature proteins including CHOP, Caspase 12, and p38 MAPK, and decreased the apoptosis rate of cells. SDLP has a better protective effect on cells than DLP. Conclusions: SDLP protects HK-2 cells from nano-COM crystal-induced apoptosis by reducing oxidative and ER stress levels and their downstream factors, thereby reducing crystal–cell adhesion interactions and the risks of kidney stone formation. [ABSTRACT FROM AUTHOR]

Introduction: The emergence of multidrug-resistant Klebsiella pneumoniae (K. pneumoniae) and the decline of effective antibiotics lead to the urgent need for new antibacterial agents. The aim of this study is to investigate the therapeutic effect of antimicrobial peptides against gentamicin-resistant (RT) K. pneumoniae and to screen effective antimicrobial peptides. Methods: In this study, the RT strains were induced by gradient gentamicin, and the RT strains were selected by detecting the expression levels of efflux pump genes, porin genes, and biofilm formation genes of the strains combined with their effects on the cells. Then the effects of four antimicrobial peptides on the efflux pump activity, biofilm formation level and cell condition after infection were detected to explore the effects of antimicrobial peptides on RT strains. Finally, the RT strain was used to induce a mouse model of pneumonia, and the four antimicrobial peptides were used to treat pneumonia mice for in vivo experiments. The pathological changes in lung tissues in each group were detected to explore the antimicrobial peptide with the most significant effect on the RT strain in vivo. Results: The results showed that the minimal inhibitory concentrations of the RT strains (strain C and strain I) were significantly higher than those of the wild-type strain, and the expression of efflux pump, porin and biofilm formation genes was significantly increased. The antimicrobial peptides could effectively inhibit the biofilm formation and efflux pump protein function of the RT strains. In addition, the antimicrobial peptides showed promising antibacterial effects both in vitro and in vivo. Discussion: Our study provided a theoretical basis for the treatment of gentamicin resistant K. pneumoniae infection with antimicrobial peptides, and found that KLA was significantly superior to LL37, Magainin I, KLA and Dermaseptin (10 μg/mL in cells, 50 μg in mice). [ABSTRACT FROM AUTHOR]

A novel real-time infrared pedestrian detection algorithm is introduced in this study. The proposed approach leverages re-parameterized convolution and channel-spatial location fusion attention to tackle the difficulties presented by low-resolution, partial occlusion, and environmental interference in infrared pedestrian images. These factors have historically hindered the accurate detection of pedestrians using traditional algorithms. First, to tackle the problem of weak feature representation of infrared pedestrian targets caused by low resolution and partial occlusion, a new attention module that integrates channel and spatial is devised and introduced to CSPDarkNet53 to design a new backbone CSLF-DarkNet53. The designed attention model can enhance the feature expression ability of pedestrian targets and make pedestrian targets more prominent in complex backgrounds. Second, to enhance the efficiency of detection and accelerate convergence, a multi-branch decoupled detector head is designed to operate the classification and location of infrared pedestrians separately. Finally, to improve poor real-time without losing precision, we introduce the re-parameterized convolution (Repconv) using parameter identity transformation to decouple the training process and detection process. During the training procedure, to enhance the fitting ability of small convolution kernels, a multi-branch structure with convolution kernels of different scales is designed. Compared with the nice classical detection algorithms, the results of the experiment show that the proposed RCSLFNet not only detects partial occlusion infrared pedestrians in complex environments accurately but also has better real-time performance on the KAIST dataset. The mAP@0.5 reaches 86% and the detection time is 0.0081 s, 2.9% higher than the baseline. [ABSTRACT FROM AUTHOR]

IL-3/STAT5 signaling pathway is crucial for the development and activation of immune cells, contributing to the cellular response to infections and inflammatory stimuli. Dysregulation of the IL-3/STAT5 signaling have been associated with inflammatory and autoimmune diseases characterized by inflammatory cell infiltration and organ damage. IL-3 receptor α (IL-3Rα) specifically binds to IL-3 and initiates intracellular signaling, resulting in the phosphorylation of STAT5. However, the regulatory mechanisms of IL-3Rα remain unclear. Here, we identified the E3 ubiquitin ligase RNF128 as a negative regulator of IL-3/STAT5 signaling by targeting IL-3Rα for lysosomal degradation. RNF128 was shown to selectively bind to IL-3Rα, without interacting with the common beta chain IL-3Rβ, which shares the subunit with GM-CSF. The deficiency of Rnf128 had no effect on GM-CSF-induced phosphorylation of Stat5, but it resulted in heightened Il-3-triggered activation of Stat5 and increased transcription of the Id1, Pim1, and Cd69 genes. Furthermore, we found that RNF128 promoted the K27-linked polyubiquitination of IL-3Rα in a ligase activity-dependent manner, ultimately facilitating its degradation through the lysosomal pathway. RNF128 inhibited the activation and chemotaxis of macrophages in response to LPS stimulation, thereby attenuating excessive inflammatory responses. Collectively, these results reveal that RNF128 negatively regulates the IL-3/STAT5 signaling pathway by facilitating K27-linked polyubiquitination of IL-3Rα. This study uncovers E3 ubiquitin ligase RNF128 as a novel regulator of the IL-3/STAT5 signaling pathway, providing potential molecular targets for the treatment of inflammatory diseases. [ABSTRACT FROM AUTHOR]

Since coming to power in 2016, the Democratic Progressive Party (DPP) has pledged to safeguard Taiwan's sovereignty amidst Beijing's aggressive imposition of the one-China principle. This article assesses the impact of the DPP's recognition for survival strategy which involves using free trade agreements (FTAs) to boost Taiwan's legal standing and recognition in the international community. The strategy entails a two-pronged plan: retaining Taiwan's status as a vital regional economic player to ultimately advance its de jure sovereignty via regional FTAs. Drawing on Taiwan's past FTA experiences, we analyze the possible outcomes of the government's application to the Comprehensive and Progressive Agreement for Trans-Pacific Partnership (CPTPP) and the likely consequences of these outcomes on the country's sovereign claims and status. We argue that while the DPP's strategy plays a crucial role in renegotiating Taiwan's political self as an unrecognized state, failure to mitigate the negative externalities of the one-China principle while negotiating and implementing the CPTPP will further undermine the country's facto sovereignty. [ABSTRACT FROM AUTHOR]

A novel real-time infrared pedestrian detection algorithm is introduced in this study. The proposed approach leverages re-parameterized convolution and channel-spatial location fusion attention to tackle the difficulties presented by low-resolution, partial occlusion, and environmental interference in infrared pedestrian images. These factors have historically hindered the accurate detection of pedestrians using traditional algorithms. First, to tackle the problem of weak feature representation of infrared pedestrian targets caused by low resolution and partial occlusion, a new attention module that integrates channel and spatial is devised and introduced to CSPDarkNet53 to design a new backbone CSLF-DarkNet53. The designed attention model can enhance the feature expression ability of pedestrian targets and make pedestrian targets more prominent in complex backgrounds. Second, to enhance the efficiency of detection and accelerate convergence, a multi-branch decoupled detector head is designed to operate the classification and location of infrared pedestrians separately. Finally, to improve poor real-time without losing precision, we introduce the re-parameterized convolution (Repconv) using parameter identity transformation to decouple the training process and detection process. During the training procedure, to enhance the fitting ability of small convolution kernels, a multi-branch structure with convolution kernels of different scales is designed. Compared with the nice classical detection algorithms, the results of the experiment show that the proposed RCSLFNet not only detects partial occlusion infrared pedestrians in complex environments accurately but also has better real-time performance on the KAIST dataset. The mAP@0.5 reaches 86% and the detection time is 0.0081 s, 2.9% higher than the baseline. [ABSTRACT FROM AUTHOR]

Microstructure, mechanical and corrosion properties of hot-extruded Mg-2.0Zn-0.4Mn with varying Al addition were investigated in this study. The results demonstrate that adding Al to Mg-2.0Zn-0.4Mn promotes dynamic recrystallization significantly during hot extrusion and improves the tensile mechanical properties and corrosion resistance of the hot-extruded alloy. The dynamic recrystallized grain sizes decrease while the fraction of dynamic recrystallization area increases with Al addition. This is owing to the promoted recrystallization nucleation rates attributed to the grain refinement or increased amount of grain boundaries in solutionized alloy and particle stimulated nucleation by undissolved second-phase particles. The quantity and size of second phase particles of extruded alloys also increase with Al addition, which, in turn, contributes to the refinement of recrystallized grains by grain boundary pinning effect. As a result, tensile properties of the extruded alloy have improved by alloying with Al, owing to the coupling effects of more solute atoms, reduced recrystallized grain size and presence of fine second-phase particles. The improved corrosion resistance of extruded alloys by Al addition is mainly attributed to Al solute atoms and relatively uniform extruded microstructure that facilitate the formation of a more compact passive film. However, galvanic corrosion induced by second-phase particles and the Mg matrix significantly mitigates this effect. Consequently, optimized Al addition to this extruded Mg-2.0Zn-0.4Mn alloy is determined to be 4 wt.%. [ABSTRACT FROM AUTHOR]

Signaling mediated by brain-derived neurotrophic factor (BDNF), which is supported by the postsynaptic scaffolding protein PSD-95, has antidepressant effects. Conversely, clinical depression is associated with reduced BDNF signaling. We found that peptidomimetic compounds that bind to PSD-95 promoted signaling by the BDNF receptor TrkB in the hippocampus and reduced depression-like behaviors in mice. The compounds CN2097 and Syn3 both bind to the PDZ3 domain of PSD-95, and Syn3 also binds to an α-helical region of the protein. Syn3 reduced depression-like behaviors in two mouse models of stress-induced depression; CN2097 had similar but less potent effects. In hippocampal neurons, application of Syn3 enhanced the formation of TrkB–Gαi1/3–PSD-95 complexes and potentiated downstream PI3K-Akt-mTOR signaling. In mice subjected to chronic mild stress (CMS), systemic administration of Syn3 reversed the CMS-induced, depression-associated changes in PI3K-Akt-mTOR signaling, dendrite complexity, spine density, and autophagy in the hippocampus and reduced depression-like behaviors. Knocking out Gαi1/3 in hippocampal neurons prevented the therapeutic effects of Syn3, indicating dependence of these effects on the TrkB pathway. The findings suggest that compounds that induce the formation of PSD-95–TrkB complexes have therapeutic potential to alleviate depression. Editor's summary: The neurotrophic factor BDNF and its receptor TrkB have antidepressant effects. Because direct modulators of this ligand-receptor pair have limited therapeutic potential, Shi et al. instead tested the effects of peptides designed to structurally support BDNF-TrkB signaling intracellularly. Syn3 and CN2097, which bind to the postsynaptic scaffolding protein PSD-95, increased TrkB complex formation and BDNF-induced pathway activation in hippocampal neurons. Syn3 and, to a lesser extent, CN2097 reversed the neuronal and depression-like behavioral effects of chronic stress in mice, showing that targeting PSD-95 has antidepressant potential. —Leslie K. Ferrarelli [ABSTRACT FROM AUTHOR]

Introduction: An unprecedented surge of Omicron infections appeared nationwide in China in December 2022 after the adjustment of the COVID-19 response policy. Here, we report the clinical and genomic characteristics of SARS-CoV-2 infections among children in Shanghai during this outbreak. Methods: A total of 64 children with symptomatic COVID-19 were enrolled. SARS-CoV-2 whole genome sequences were obtained using next-generation sequencing (NGS) technology. Patient demographics and clinical characteristics were compared between variants. Phylogenetic tree, mutation spectrum, and the impact of unique mutations on SARS-CoV-2 proteins were analysed in silico. Results: The genomic monitoring revealed that the emerging BA.5.2.48 and BF.7.14 were the dominant variants. The BA.5.2.48 infections were more frequently observed to experience vomiting/diarrhea and less frequently present cough compared to the BF.7.14 infections among patients without comorbidities in the study. The high-frequency unique non-synonymous mutations were present in BA.5.2.48 (N:Q241K) and BF.7.14 (nsp2:V94L, nsp12:L247F, S:C1243F, ORF7a:H47Y) with respect to their parental lineages. Of these mutations, S:C1243F, nsp12:L247F, and ORF7a:H47Y protein were predicted to have a deleterious effect on the protein function. Besides, nsp2:V94L and nsp12:L247F were predicted to destabilize the proteins. Discussion: Further in vitro to in vivo studies are needed to verify the role of these specific mutations in viral fitness. In addition, continuous genomic monitoring and clinical manifestation assessments of the emerging variants will still be crucial for the effective responses to the ongoing COVID-19 pandemic. [ABSTRACT FROM AUTHOR]

Background: Most preschool children are distressed during anesthesia induction. While current pharmacological methods are useful, there is a need for further optimization to an "ideal" standard. Remimazolam is an ultra-short-acting benzodiazepine, and intranasal remimazolam for pre-induction sedation may be promising. Methods: This study included 32 preschool children who underwent short and minor surgery between October 2022 and January 2023. After pretreatment with lidocaine, remimazolam was administered to both nostrils using a mucosal atomizer device. The University of Michigan Sedation Score (UMSS) was assessed for sedation 6, 9, 12, 15, and 20 min after intranasal atomization. We used Dixon's up-and-down method, and probit and isotonic regressions to determine the 50% effective dose (ED50) and 95% effective dose (ED95) of intranasal remimazolam for pre-induction sedation. Results: Twenty-nine pediatric patients were included in the final analysis. The ED50 and ED95 of intranasal remimazolam for successful pre-induction sedation, when processed via probit analysis, were 0.65 (95% confidence interval [CI], 0.59-0.71) and 0.78 mg/kg (95% CI, 0.72-1.07), respectively. In contrast, when processed by isotonic regression, they were 0.65 (95% CI: 0.58-0.72 mg/kg) and 0.78 mg/kg (95% CI: 0.69-1.08 mg/kg), respectively. At 6 min after intranasal remimazolam treatment, 81.2% (13/16) of "positive" participants were successfully sedated with a UMSSS1. All the "positive" participants were successfully sedated within 9 min. Conclusion: Intranasal remimazolam is feasible for preschool children with a short onset time. For successful pre-induction sedation, the ED50 and ED95 of intranasal remimazolam were 0.65 and 0.78 mg/kg, respectively. [ABSTRACT FROM AUTHOR]

Kalman filter has emerged as a powerful tool for unbalance identification in rotating machinery. Recently, the augmented Kalman filter combined with the finite element model has grown up and projects its potential for complex rotor systems. This paper investigates the application of the augmented Kalman filter (AKF) to a practical turbofan engine. The current study reveals that using steady-state responses as measurements can cause fluctuation in the estimated results, even divergence for some cases, while the available signals in practice are steady-state responses generally. To the authors' knowledge, this practical problem is revealed for the first time. To address the problem, the convergence criterion is employed to improve the AKF and formulates the adaptive fading augmented Kalman filter (AFAKF) proposed in this paper. Results indicate that the increase of the amplification factor, the insufficient measurement points, and the complexity of the dynamic model can all lead to the deterioration of the estimated unbalance. The proposed AFAKF method shows favorable convergence and can achieve accurate estimation with less than 5% relative errors, and the superiority over AKF in computation cost is also observed. [ABSTRACT FROM AUTHOR]

This paper conducts a study into the exercise and development of US structural power in the global semiconductor industry and offers a geoeconomics explanation for US dominance in the sector. It emphasizes the role of legal jurisdiction and spatial dimensions of technological development in perpetuating US structural power in global semiconductor value chains. The goal of this paper is to apply the concept of extraterritoriality to the study of structural power; how it is acquired, and how it is used. It explains why we should consider extraterritoriality as a feature of US structural power in International Political Economy (IPE) and suggests three features to help illuminate the concept: Power in global value chains, legal-jurisdictional power, and alliance-based power. The paper first explains how the US acquired the policy tools and leading market position for projecting extraterritorial power in the semiconductor industry during the late twentieth century, how it then utilized its structural privileges to target Chinese technology firms, and finally, the current and potential constraints on its deployment based on the reactions of Chinese and US transnational corporate actors. [ABSTRACT FROM AUTHOR]

Quantum effects in photosynthetic energy transport in nature, especially for the typical Fenna-Matthews-Olson (FMO) complexes, are extensively studied in quantum biology. Such energy transport processes can be investigated as open quantum systems that blend the quantum coherence and environmental noise, and have been experimentally simulated on a few quantum devices. However, the existing experiments always lack a solid quantum simulation for the FMO energy transport due to their constraints to map a variety of issues in actual FMO complexes that have rich biological meanings. Here we successfully map the full coupling profile of the seven-site FMO structure by comprehensive characterisation and precise control of the evanescent coupling of the three-dimensional waveguide array. By applying a stochastic dynamical modulation on each waveguide, we introduce the base site energy and the dephasing term in coloured noise to faithfully simulate the power spectral density of the FMO complexes. We show our photonic model well interprets the phenomena including reorganisation energy, vibrational assistance, exciton transfer and energy localisation. We further experimentally demonstrate the existence of an optimal transport efficiency at certain dephasing strength, providing a window to closely investigate environment-assisted quantum transport. [ABSTRACT FROM AUTHOR]

Toxoplasmosis is a zoonosis caused by Toxoplasma gondii (T. gondii). The current treatment for toxoplasmosis remains constrained due to the absence of pharmaceutical interventions. Thus, the pursuit of more efficient targets is of great importance. Lipid metabolism in T. gondii, including fatty acid metabolism, phospholipid metabolism, and neutral lipid metabolism, assumes a crucial function in T. gondii because those pathways are largely involved in the formation of the membranous structure and cellular processes such as division, invasion, egress, replication, and apoptosis. The inhibitors of T. gondii's lipid metabolism can directly lead to the disturbance of various lipid component levels and serious destruction of membrane structure, ultimately leading to the death of the parasites. In this review, the specific lipid metabolism pathways, correlative enzymes, and inhibitors of lipid metabolism of T. gondii are elaborated in detail to generate novel ideas for the development of anti-T. gondii drugs that target the parasites' lipid metabolism. [ABSTRACT FROM AUTHOR]

Purpose: To explore the feasibility of a 5G-based telerobotic ultrasound (US) system for providing qualified abdominal US services on a rural island. Methods: This prospective study involved two medical centers (the tele-radiologist site's hospital and the patient site's hospital) separated by 72 km. Patients underwent 5G-based telerobotic US by tele-radiologists and conventional US by on-site radiologists from September 2020 to March 2021. The clinical feasibility and diagnostic performance of the 5G-based telerobotic abdominal US examination were assessed based on safety, duration, image quality, diagnostic findings, and questionnaires. Results: A total of 401 patients (217 women and 184 men; mean age, 54.96 ± 15.43 years) were enrolled. A total of 90.1% of patients indicated no discomfort with the telerobotic US examination. For the examination duration, telerobotic US took longer than conventional US (12.54 ± 3.20 min vs. 7.23 ± 2.10 min, p = 0.001). For image quality scores, the results of the two methods were similar (4.54 ± 0.63 vs. 4.57 ± 0.61, p = 0.112). No significant differences were found between the two methods in measurements for the aorta, portal vein, gallbladder, kidney (longitudinal diameter), prostate, and uterus; however, telerobotic US underestimated the transverse diameter of the kidney (p < 0.05). A total of 504 positive results, including 31 different diseases, were detected. Among them, 455 cases were identified by the two methods; 17 cases were identified by telerobotic US only; and 32 cases were identified by conventional US only. There was good consistency in the diagnosis of 29 types of disease between the two methods (κ = 0.773–1.000). Furthermore, more than 90% of patients accepted the telerobotic US examination and agreed to pay additional fees in future. Conclusion: The 5G-based telerobotic US system can expand access to abdominal US services for patients in rural areas, thereby reducing health care disparities. [ABSTRACT FROM AUTHOR]

This study provides a comprehensive overview of the preparation methods for polyhedral oligomeric silsesquioxane (POSS) monomers and polymer/POSS nanocomposites. It focuses on the latest advancements in using POSS to design polymer nanocomposites with reduced dielectric constants. The study emphasizes exploring the potential of POSS, either alone or in combination with other materials, to decrease the dielectric constant and dielectric loss of various polymers, including polyimides, bismaleimide resins, poly(aryl ether)s, polybenzoxazines, benzocyclobutene resins, polyolefins, cyanate ester resins, and epoxy resins. In addition, the research investigates the impact of incorporating POSS on improving the thermal properties, mechanical properties, surface properties, and other aspects of these polymers. The entire study is divided into two parts, discussing systematically the role of POSS in reducing dielectric constants during the preparation of POSS composites using both physical blending and chemical synthesis methods. The goal of this research is to provide valuable strategies for designing a new generation of low dielectric constant materials suitable for large‐scale integrated circuits in the semiconductor materials domain. [ABSTRACT FROM AUTHOR]

Route prediction in instant delivery is still challenging due to the unique characteristics compared with conventional delivery services, such as strict deadlines, overlapped delivery time of multiple orders, and diverse individual preferences on delivery routes. Recently, development in the mobile Internet of Things (IoT) offers the opportunity to collect multi-sensor data with rich real-time information. Therefore, this study proposes a route prediction model called Roupid, which leverages multi-sensor data to improve the accuracy of route prediction in instant delivery. Specifically, we design a 3-Conversion Network-based route prediction framework to take full advantage of various information provided by multi-sensor data, including the encounter data sensed by Bluetooth low energy (BLE) beacons, active site data reported by smart handheld devices, and trajectory data detected by GPS. The 3-Conversion Network we propose is based on a deep neural network framework, which integrates an improved relational graph attention network with edge features (RGATE) to encode global information that couriers typically consider when planning routes. We evaluate our Roupid with real-world data collected from one of the largest instant delivery companies in the world, i.e., Eleme. Experimental results show that our Roupid outperforms other state-of-the-art baselines and offers up to 85.51% of the route prediction precision. [ABSTRACT FROM AUTHOR]

Low-Power Wide-Area Networks (LPWANs), extensively utilized for connecting billions of IoT devices, encounter wireless interference challenges in unlicensed frequency bands. Cutting-edge research suggests employing Received Signal Strength Indication (RSSI) sequences for error detection to mitigate interference-related issues. Nevertheless, the effectiveness of this method significantly declines under low signal-to-noise ratios (SNRs). Additionally, long-range communication often results in low SNR received signals, sometimes even below the noise floor. Targeting this fundamental issue, this article proposes the LPWAN packet technique, broadly applicable across diverse scenarios through edge–cloud collaboration. On the edge side, we propose an innovative architecture that fully exploits spatial distribution and interference independence in the field. Rather than utilizing resource-intensive RSSI-based error detection, we leverage a lightweight coding scheme for error detection at the Long Range (LoRa) edge, forwarding correct frames to the cloud. On the cloud side, packet recovery is achieved utilizing group-weighted voting. We design and implement ECRLoRa with commercially available devices (SemTech's SX1278 and SX1302 LoRa chipsets) and assess its performance in low SNR environments. Our thorough evaluation demonstrates that our approach attains a Packet Recovery Ratio of 96% with low SNR (i.e., below −10 dB), resulting in 1.8× throughput, 7.5× faster recovery time, and 4.92× average accuracy compared to state-of-the-art cloud-optimized application layer solutions. [ABSTRACT FROM AUTHOR]

This paper proves that in mixed linear model, the analysis of variance estimation (ANOVAE), the minimum norm quadratic unbiased estimation (MINQUE), the spectral decomposition estimation (SDE) and the restricted maximum likelihood estimation (RMLE) of variance components are the same under some conditions. Based on this result, we construct a linear Bayes estimation (LBE) for the parameter vector consisting of variance components and establish its superiorities. Numerical computations and an illustration show that the LBE is comparable to Lindley's approximation, Tierney and Kadane's approximation and the usual Bayes estimation (UBE) obtained by the MCMC method and easy to use as well. [ABSTRACT FROM AUTHOR]

To evaluate the prevalence and quality of antimicrobial prescriptions using a Global Point Prevalence Survey (PPS) tool and help identify targets for improvement of antimicrobial prescribing and inform the development of antimicrobial stewardship activities. Antimicrobial prescriptions for inpatients staying at a hospital overnight were surveyed on one weekday in October 2018, November 2019, and November 2020. Data including basic patient information, antimicrobial drugs, quality evaluation of antimicrobial drug prescription, and the risk factors of nosocomial infection were collected from doctor network workstation. Patient information was anonymized and entered in the PPS Web application by physicians. A total of 720 patients (median age, 62 years) were surveyed. Of them, 246 (34.2%) were prescribed antimicrobials on the survey days. Hospital-wide antimicrobial use had a significantly decreasing trend (P < 0.001). The most commonly prescribed antimicrobial drugs were third-generation cephalosporins (40.5%), followed by quinolones (21.8%) and second-generation cephalosporin (12.5%). In our study, cefoperazone/sulbactam, ceftazidime, and levofloxacin were the most commonly used antimicrobials. The most common indication for antimicrobial use was pneumonia or lower respiratory tract infection (159/321, 49.5%). Antimicrobial for surgical prophylaxis represented 16.2% of the total antibiotic doses. Of those, 67.3% were administered for more than 24 h. The rate of adherence to antibiotic guidelines was 61.4%. The indications for antimicrobials were not documented in 54.5% of the prescriptions. Stop/review date was documented for 36.8% of prescriptions. The PPS tool is useful in identifying targets to enhance the quality of antimicrobial prescriptions to improve the adherence rate in hospitals. This survey can be used as a control to assess the rational application quality of antimicrobial after regular application of antimicrobial intervention. [ABSTRACT FROM AUTHOR]

In catastrophic occurrences, the automatic, accurate, and fast object detection of images taken by unmanned aerial vehicles (UAVs) can significantly reduce the time required for manual search and rescue. Victim detection methods, however, are not sufficiently robust for identifying partially obscured and multiscale objects against diverse backgrounds. To overcome this problem, we propose a hybrid-domain attention mechanism algorithm based on YOLOv5 with multiscale feature reuse (YOLO-MSFR). First, to solve the issue of the victim target being easily masked by a complex background, which complicates target attribute representation, a channel-space domain attention method was built, to improve target feature expression ability. Second, to address the problem of easily missed multiscale characteristics of victim targets, a multiscale feature reuse MSFR module was designed to ensure that large-scale target features are effectively expressed while enhancing small-target feature expression ability. The MSFR module was designed based on dilated convolution to solve the problem of small-target feature information loss during downsampling in the backbone network. The features were reused by cascade residuals to reduce the model training parameters and avoid the disappearance of the network deepening gradient. Finally, the efficient intersection over union (EIOU) loss function was adopted to accelerate network convergence and improve the detection performance of the network to accurately locate victims. The proposed algorithm was compared with five classical target detection algorithms on data from multiple disaster environments to verify its advantages. The experimental results show that the proposed algorithm can accurately detect multiscale victim targets in complex natural disasters, with mAP reaching 91.0%. The image detection speed at 640 × 640 resolution was 42 fps, indicating good real-time performance. [ABSTRACT FROM AUTHOR]

The concept of superhydrophobicity has been widely used after years of theoretical and experimental exploration. Researchers have obtained materials with excellent surface superhydrophobicity for numerous areas (e.g. textiles, paints, and coatings industries), through different design and synthesis methods using low surface energy components (LSECs) and micro/nanohierarchy composite structures. However, the durability of superhydrophobic material surfaces has gradually become a prominent obstacle to restricting applications. In this paper, advances in improving the durability of superhydrophobic surfaces in the past decade are reviewed, covering different schemes for recovering fractal surfaces based on the LSECs and micro/nanocomposite structures. It also presents a balanced review on wet chemical methods, chemical vapor deposition (CVD), layer-by-layer (LbL), microarc oxidation (MAO), and self-healing of the fractal surfaces, with the aim at developing sustainable superhydrophobicity. In addition, it innovatively summarized the research on the synthesis of self-healing superhydrophobic materials by machine learning methods. By the end it discusses perspectives on future development in this emerging research area. [ABSTRACT FROM AUTHOR]

Purpose: To investigate the use of ureteroscope-assisted laparoscopic surgery (UALS) in treating symptomatic prostatic utricle (PU) in children. Materials and Methods: Data on surgically treated cases of PU at the Department of Urology in Hunan Children's Hospital between September 2014 and September 2022 were retrospectively collected and analyzed. The diagnosis was confirmed by cystourethroscopy followed by ureteroscopy, and PU was excised by ureteroscope-assisted laparoscopy. Results: A total of 21 patients with PU were enrolled in this study. The median age of the patients at surgery was 8.1 (4.6–11.5) years. Karyotyping was available for 15 children: 13 (86.7%) were 46XY, 1 (6.7%) was 45X/46XY, and 1 (6.7%) was 45X/46XY/47XYY. The median length of the PU was 5.0 (4.1–7.1) cm. Nineteen patients underwent only ureteroscope-assisted laparoscopic excision, whereas 2 also had a perineal incision. All excisions were successfully performed. The median intraoperative blood loss was 25.0 (20.0–37.5) mL. The median hospital stay and follow-up durations were 18.0 (14.5–25.0) days and 24.0 (13.5–49.0) months, respectively. The patients reported no postoperative clinical symptoms. Conclusion: UALS allows for accurate patient positioning and thorough exposure of the anatomical structures, and it is a safe, effective, and minimally invasive treatment for PU in children. [ABSTRACT FROM AUTHOR]

A number of studies from the literature have suggested that exposure to air pollutants is associated with a declined bone mineral density (BMD), and increased risks of osteoporosis (OP) and bone fractures. This study was performed to systemically assess the genetically causal associations of air pollutants with site-/age-specific BMD and risk of bone fractures with the implementation of two-sample Mendelian randomization (TSMR) and multivariate Mendelian randomization (MVMR). The TSMR analysis was implemented to infer the causal associations between air pollutants and BMD and the risk of bone fractures, additional MVMR analysis was used to further estimate the direct causal effects between air pollutants and BMD, the occurrence of OP, and bone fractures. The results showed that NOx exposure contributed to lower femoral neck BMD (FN-BMD) (β = −0.71, 95%CI: −1.22, −0.20, p = 0.006) and total body BMD (TB-BMD) (β = −0.55, 95%CI: −0.90, −0.21, p = 0.002). Additionally, exposure to PM10 was found to be associated with a decreased TB-BMD (B β = −0.42, 95%CI: −0.66, −0.18, p = 0.001), further age-specific subgroup analysis demonstrated the causal effect of PM10 exposure on the decreased TB-BMD in a subgroup aged 45 to 60 years (β = −0.70, 95%CI: −1.12, −0.29, p = 0.001). Moreover, the findings of the MVMR analysis implied that there was a direct causal effect between PM10 exposure and the decreased TB-BMD (45 < age < 60), after adjusting for PM2.5 and PM2.5 —10 exposure. Our study provides additional evidence to support the causal associations of higher concentrations of air pollutant exposure with decreased BMD, especially in those populations aged between 45 to 60 years, suggesting that early intervention measures and public policy should be considered to improve public health awareness and promote bone health. [ABSTRACT FROM AUTHOR]

Extensive research has significantly improved the vibration isolation performance of off-road vehicle seat suspensions, effectively addressing issues such as driver fatigue, and low-back pain. However, variations caused by road roughness, vehicle speed, and load can lead to stability switches and sudden events in seat vibration excitation. Ignoring these factors in semi-active and active seat suspensions can cause insufficient robustness and excessive costs. To address this, we propose an intelligent damping switching method that optimizes seat suspension damping mode by considering the stability and suddenness of excitation. Utilizing a long short-term memory (LSTM) network, we accurately identify stability, while the multi-input and multi-output optimization (MIMO) method labels the network input through system identification of the seat dynamics model. Event trigger (ET) handles suddenness effectively. By combining these techniques, our approach achieves effective vibration isolation while maintaining the desired suspension deflection. Comparative analysis validates our novel seat suspension control system design approach. [ABSTRACT FROM AUTHOR]

Featured Application: The research of propagation characteristics can provide a significance and value for McPherson suspension system design. Tire cavity resonance noise (TCRN) is one of main contributors to vehicle interior noise, which has long been a concern in the automotive industry and academia. As suspension is crucial for the propagation of TCRN energy into the vehicle, the propagation characteristics of energy in automobile suspension is studied in this research. Firstly, the finite element model of a McPherson suspension system connected to an aluminum alloy wheel with a Y-shaped spoke was established. Then, a modal analysis and response calculations of the McPherson suspension system connected to the aluminum alloy wheel with a Y-shaped spoke were carried out. Finally, the propagation characteristics of TCRN in the McPherson suspension system connected to the aluminum alloy wheel with a Y-shaped spoke were studied and analyzed by the power flow method under different working conditions. The power flow output via the lower arm front bushing was the largest, while the output via the rear bushing was the smallest in the Y-spoke aluminum alloy wheel and suspension system. The areas in the suspension system with high stress are located at the steering knuckle, lower swing arm, and shock absorber. Therefore, study of the propagation characteristics can provide a basis for a McPherson suspension system design. [ABSTRACT FROM AUTHOR]