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Intelligent safety and security is significant for preventing risks, ensuring information security and promoting sustainable social development, making it an indispensable part of modern society. Current research primarily focuses on the knowledge base and research hotspots in the field of intelligent safety and security. However, a comprehensive mapping of its overall knowledge structure remains lacking. A total of 1400 publications from the Web of Science Core Collection (2013–2023) are analyzed using VOSviewer and CiteSpace, through which co-occurrence analysis, keyword burst detection, and co-citation analysis are conducted. Through this approach, this analysis systematically uncovers the core themes, evolutionary trajectories, and emerging trends in intelligent safety and security research. Unlike previous bibliometric studies, this study is the first to integrate multiple visualization techniques to construct a holistic framework of the intelligent safety and security knowledge system. Additionally, it offers an in-depth analysis of key topics such as IoT security, intelligent transportation systems, smart cities, and smart grids, providing quantitative insights to guide future research directions. The results show that the most significant number of publications are from China; the top position on the list of papers published by related institutions is occupied by King Saud University from Saudi Arabia. Renewable and Sustainable Energy Reviews, Sustainable Cities and Society, and IEEE Transactions on Intelligent Transportation Systems are identified as the leading publications in this field. The decentralization of blockchain technology, the security and challenges of the Internet of Things (IoT), and research on intelligent cities and smart homes have formed the knowledge base for innovative security research. The four key directions of intelligent safety and security research mainly comprise IoT security, intelligent transportation systems, traffic safety and its far-reaching impact, and the utilization of smart grids and renewable energy. Research on IoT technology, security, and limitations is at the forefront of interest in this area. [ABSTRACT FROM AUTHOR]

Limited research has explored the connection between stress and value conflicts, particularly the influence of self-construal and self-concept clarity. This study surveyed a sample of 752 Chinese college students using the Depression–Anxiety-Stress Scale, Self-Construal Scale, Self-Concept Clarity Scale, and Portrait Values Questionnaire. The findings demonstrated that stress levels among participants were significantly associated with conflicts between self-transcendence and self-enhancement values, but no significant relationship was observed with openness vs. conservation conflicts. Mediation analysis revealed that self-concept clarity partially mediated this relationship. Additionally, moderated mediation analysis showed that the association between value conflict and self-concept clarity was stronger in students with high levels of independent self-construal. These results offer a deeper understanding of how value conflicts contribute to stress, highlighting potential pathways for targeted mental health interventions. Future studies should address the limitations of the current research and explore these relationships in more diverse contexts. [ABSTRACT FROM AUTHOR]

Compared to glass fiber-reinforced polymer (GFRP) and carbon fiber-reinforced polymer (CFRP), basalt fiber-reinforced polymer (BFRP) offers distinct advantages, including the relatively lower cost and superior creep resistance. As a result, its application in the construction industry has been gaining growing attention. This paper begins by providing an overview of the fundamental background, as well as the mechanical and microscopic properties, of BFs. By exploring various application types, including one-dimensional (e.g., bars, cables), two-dimensional (e.g., grids, sheets), and three-dimensional (e.g., profiles) applications, the research progress of BFRP products in the construction industry is comprehensively summarized. Research has demonstrated the effectiveness of BFRP in a variety of structural applications, such as reinforcing existing structures (e.g., concrete or masonry) using BFRP bars, grids, or sheets, and the development of novel design concepts that integrate BFRP products with existing structural systems. Furthermore, this paper identifies unresolved challenges and proposes potential research directions, intending to promote BFRP's broader adoption as a standardized and innovative material in the construction industry. [ABSTRACT FROM AUTHOR]

With the rapid advancement of modern industries, pressure vessels and piping have become increasingly integral to sectors such as energy, petrochemicals, and process industries. To grasp the research and application status in the field of pressure vessel and piping safety, 670 publications in the Web of Science core database from 2008 to 2024 were taken as data samples in this paper. The knowledge mapping tools were used to carry out co-occurrence analysis, keyword burst detection, and co-citation analysis. The results show that the research in this field presents a multidisciplinary and cross-disciplinary state, involving multiple disciplines such as Nuclear Science and Technology, Engineering Mechanics, and Energy and Fuels. The "International Journal of Hydrogen Energy", "International Journal of Pressure Vessels and Piping", and "Nuclear Engineering and Design" are the primary publication outlets in this domain. The study identifies three major research hotspots: (1) the safety performance of pressure vessels and piping, (2) structural integrity, failure mechanisms, and stress analysis, and (3) numerical simulation and thermal–hydraulic analysis under various operating conditions. The current challenges can be summarized into three aspects: (1) addressing the safety risks brought by new technologies and materials, (2) promoting innovation and the application of detection and monitoring technologies, and (3) strengthening the building capacity for accident prevention and emergency management. Specific to China, the current challenges include the safety and management of aging equipment, the effective detection of circumferential weld cracks, the refinement of risk assessment models, and the advancement of smart technology applications. These findings offer valuable insights for advancing safety practices and guiding future research in this multidisciplinary field. [ABSTRACT FROM AUTHOR]

Photo-thermo-electric conversion devices represent a promising technology for converting solar energy into electrical energy. Photothermal materials, as a critical component, play a significant role in efficient conversion from solar energy into thermal energy and subsequently electrical energy, thereby directly influencing the overall system's efficiency in solar energy utilization. However, the application of single-component photothermal materials in photo-thermo-electric conversion systems remains limited. The exploration of novel photothermal materials with broad-spectrum absorption, a high photothermal conversion efficiency (PCE), and a robust output power density is highly desired. In this study, we investigated a black cuprous halide compound, [Cu2Cl2PA]n (1, PA = phenazine), which exhibits broad-spectrum absorption extending into the near-infrared (NIR) region. Compound 1 demonstrated a high NIR-I PCE of 50% under irradiation with an 808 nm laser, attributed to the metal-to-ligand charge transfer (MLCT) from the Cu(I) to the PA ligands and the strong intermolecular π–π interactions among the PA ligands. Furthermore, the photo-thermo-electric conversion device constructed using compound 1 achieved a notable output voltage of 261 mV and an output power density of 0.92 W/m2 under the 1 Sun (1000 W/m2) xenon lamp. [ABSTRACT FROM AUTHOR]

The effects of lactic acid bacteria fermentation and in vitro simulated digestion on phenolic bioavailability, phenolic bioavailability, and antioxidant activity of purple sweet potato juice (PSPJ) were investigated. The PSPJ was fermented by Lactobacillus rhamnosus and Streptococcus thermophilus. The viable bacterial count, phenolic components, antioxidant activity, phenolic bioaccessibility, and phenolic bioavailability of PSPJ were analyzed during the simulated digestion process in vitro. The data displayed that lactic acid bacteria fermentation increased total α-glucosidase inhibition, total flavonoid content, and ratephenolic content. The antioxidant activities were improved after in vitro simulated digestion due to the biotransformation of phenolic substances by lactic acid bacteria fermentation. The bioaccessibility and bioavailability of phenols in PSPJ were improved with fermentation of lactic acid bacteria. Furthermore, the viable bacteria count of the two strains was significantly improved (>7 log CFU/mL) after simulated digestion in vitro. [ABSTRACT FROM AUTHOR]

In this experiment, plasma-enhanced chemical vapor deposition technology was used to deposit diamond-like carbon thin films on the surface of a 2024 aluminum alloy. The effects of deposition temperature on the microstructure, carbon, silicon, and aluminum element distribution, and film substrate adhesion of diamond-like carbon thin films were studied using field emission scanning electron microscopy, energy-dispersive spectroscopy, XRD, scratch gauge, and ultra-depth-of-field microscopy. The results showed that with the increase in deposition temperature, the thickness of DLC film decreased from 8.72 μm to 5.37 μm, and the film bonded well with the substrate. There is a clear transition layer containing silicon elements between the DLC film and the aluminum alloy substrate. The transition layer is a solid solution formed by aluminum and silicon elements, which increases the bonding strength between the film and substrate. C-Si and C-C exist in the form of covalent bonds and undergo orbital hybridization, making the DLC film more stable. When the deposition temperature exceeds the aging temperature of a 2024 aluminum alloy, it will affect the properties of the aluminum alloy substrate. Therefore, the deposition temperature should be below the aging temperature of the 2024 aluminum alloy for coating. At a deposition temperature of 100 °C, the maximum membrane substrate bonding force is 14.45 N. When a continuous sound signal appears and the friction coefficient is the same as that of the substrate, the film is completely damaged. From the super-depth map of the scratch morphology, it can be seen that, at a deposition temperature of 100 °C, a small amount of thin film detachment appears around the scratch. [ABSTRACT FROM AUTHOR]

Simple Summary: Zearalenone (ZEA) is a mycotoxin that widely contaminates feed. Glycyrrhizin acid (GA) is a traditional Chinese medicine extract of licorice. This study found that GA could alleviate the damage to chicken glands and stomachs caused by ZEA in vivo, reduce the levels of oxidative stress in the body, and reduce the number of instances of apoptosis and programmed necrosis. GA may inhibit apoptosis and programmed necrosis mediated by inflammation through the NFκB pathway and protect the glandular gastric tissue. These results provide indirection for toxicological studies of ZEA and therapeutic effects of GA and help further explore the toxic effects of mycotoxins on the digestive tract. Zearalenone (ZEA) is a kind of mycotoxin that widely contaminates food and feed and poses a threat to poultry farming. As a natural extract, glycyrrhizin acid (GA) has antioxidant, antibacterial, and anti-inflammatory effects. Although studies have revealed the toxic effects of ZEA on the liver, the mechanism by which GA reduces ZEA's toxic protective glandular stomach remains unclear. In order to study the therapeutic effect of GA on tissue damage caused by ZEA, we conducted in vivo and in vitro experiments to compare the expression of inflammation, oxidative stress, apoptosis, and necrosis. The results showed that ZEA can induce inflammation in tissues and cells, inducing apoptosis and necrosis. In addition, GA can alleviate the toxic effects caused by ZEA and protect cells. Dietary GA significantly increased the antioxidant capacity of glandulae and inhibited the overexpression of NFκB/IκB-α and its mediated inflammatory response. Moreover, GA decreased the expression of pro-apoptotic factors and necrosis factors, thereby alleviating apoptosis and necrosis of chicken glandular stomach cells. At present, the mechanism of ZEA damage to livers and lungs has been confirmed by studies. However, there have been no studies on GA alleviating the damage caused by ZEA to the glandular stomach. Therefore, the purpose of this study was to explore the mechanism of GA alleviating the damage caused by ZEA in the glandular stomach through in vivo and in vitro experimental comparison. The results may provide some reference for the solution of feed contamination. [ABSTRACT FROM AUTHOR]

Cardiovascular diseases (CVDs) represent a leading global health crisis, significantly impairing patients' quality of life and posing substantial risks to their survival. Conventional therapies for CVDs often grapple with challenges such as inadequate targeting precision, suboptimal therapeutic efficacy, and potential adverse side effects. To address these shortcomings, researchers are intensively developing advanced drug delivery systems characterized by high specificity and selectivity, excellent biodegradability, superior biocompatibility, and minimal toxicity. These innovative systems enable the precise delivery of pharmaceuticals with high drug-loading capacities, minimal leakage, and expansive specific surface areas, thereby enhancing therapeutic outcomes. In this review, we summarize and classify various drug delivery materials targeting CVDs and application values. We also evaluate the feasibility and efficacy of viral and non-viral vectors for the treatment of CVDs, the existing limitations and application prospects are also discussed. We hope that this review will provide new perspectives for the future development of drug delivery systems for the treatment of CVDs, ultimately contributing to improved patient care and outcomes. [ABSTRACT FROM AUTHOR]

Magneto-electric dipole (ME-dipole) antennas offer several advantages, including wide impedance bandwidth, stable high gain, unidirectional radiation, and low back-lobe radiation patterns, making them suitable for modern wireless communication systems. However, the thickness of conventional ME-dipole antennas is typically about a quarter wavelength (0.25 λ o ) at the center operating frequency, which may not be desirable for portable device applications. This work introduces a new feeding method that reduces the antenna profile and ground plane size while maintaining the same advantages. A suspended horizontal line is proposed to excite the cavity-less ME-dipole antenna through proximity coupling. The measured results demonstrate a wide impedance bandwidth of 45.3% (ranging from 2.05 GHz to 3.25 GHz) and an average in-band gain of 9 dBi with stable ± 1 dBi in-band variation with a ground reflector of size about 0.89 λ o 2 . More importantly, the cavity-less design reduces the overall thickness of the antenna to 0.17 λ o at the center operating frequency. [ABSTRACT FROM AUTHOR]

When detecting respiratory rate and heart rate in an FMCW radar room, there is a lot of static clutter and white Gaussian noise generated by hardware heat loss in the environment, which makes the separation of respiratory and heartbeat signals poor. At the same time, the harmonic component of the respiratory signal in the frequency domain will affect the estimation of heart rate. To solve the above problems, a spatial blind source estimation method was proposed to accurately estimate respiratory heart rate. Firstly, the weighted principal component analysis (WPCA) algorithm was used to extract the features of the target signal from the IF signal, and then the respiratory heart rate signal was reconstructed according to the different features. Then, the multi-signal classification (MUSIC) algorithm is used to convert the respiration and heartbeat signals into the zero domain to avoid the influence of the respective harmonic components on the detection results. The experimental results showed that the accuracy of respiratory rate detection and heart rate detection was 94.51% and 97.79%, respectively. Compared with the traditional algorithm, the proposed method is stable and has higher detection accuracy. [ABSTRACT FROM AUTHOR]

Ultramarine is a highly favored blue inorganic pigment. It is non-toxic with a deep color and widely used in architecture, plastics, coatings, fine arts and cosmetics. In this study, ultramarine pigment was synthesized using palygorskite, anhydrous sodium carbonate and sulfur as the raw materials through the high-temperature solid-phase method. The incorporation of palygorskite into the synthesis process greatly improves the reaction efficiency and reduces the amount of sulfur. When the mass ratio of palygorskite, anhydrous sodium carbonate and sulfur is 2:6:3, the resulting ultramarine pigment exhibits optimal chrominance. Notably, this sulfur ratio is substantially lower than that used in conventional processes, highlighting the efficiency and potential environmental benefits of this approach. The XRD, FT-IR, UV visible spectroscopy and SEM reveal that the synthetically produced blue pigments possess a sodalite structure, incorporating S3− and S2− radicals. Stability assessments indicated a marked improvement in the acid resistance of the dark blue pigment upon modification with dodecyltrimethoxysilane, with no notable color degradation observed in either neutral or alkaline conditions. The refined formulation and synthesis process not only optimize the production of ultramarine pigment, but also pave the way for enhanced durability and broader application prospects in various industries. [ABSTRACT FROM AUTHOR]

Hepatocellular carcinoma (HCC) poses a substantial global health burden, with poor prognosis and high mortality rates. Dysregulated lipid metabolism has emerged as a critical driver of HCC progression. While mTORC1 signaling is known to promote lipid synthesis in HCC, the regulatory mechanisms governing mTORC1 remain largely unclear. Here, we demonstrate that mTORC1 inhibition significantly reduces lipogenesis in HCC and uncover a regulatory axis involving the transcription factor ATF3 and the leucine–arginine transporter SLC7A7. Transcriptomic analysis of HCC patients reveals an inverse correlation between ATF3 expression and lipid synthesis, a finding corroborated by experimental validation. Mechanistically, ATF3 suppresses mTORC1 signaling, thereby inhibiting lipid biosynthesis, with SLC7A7 identified as a key intermediary in this process. Specifically, ATF3 binds to the enhancer region of SLC7A7, driving its transcriptional activation and subsequently restraining mTORC1 activity. Functional assays in ATF3-overexpressing and -knockdown HCC cell lines further confirm ATF3′s role as a tumor suppressor. Our study identifies a novel ATF3-SLC7A7-mTORC1 regulatory axis that attenuates lipogenesis and tumorigenesis in HCC, establishing a critical link between lipid metabolism and hepatocarcinogenesis. These findings offer new insights into potential therapeutic targets for the treatment of HCC. [ABSTRACT FROM AUTHOR]

The development pattern of the high-quality reservoir in the Changxing Formation in the Wolonghe-Yangduxi area of southeastern Sichuan is complex. To clarify its evolution, genetic mechanisms, and distribution patterns, this study integrates data from profiles, cores, thin sections, and well logs. It reveals the distribution mechanisms of the bio-reef and shoal reservoirs in the Changxing Formation and discusses the controlling effects of tectonic, sedimentary, and diagenetic processes on reservoir development. The results show the following: (1) The Changxing Formation mainly develops open platform facies, platform margin facies, and slope-basin facies, which can be further subdivided into subfacies of platforms, intra-platform depressions, intra-platform depressions marginal reefs, and intra-platform depressions marginal shoals. The intra-platform margin reefs and the reefs at the edge of the platforms are favorable microfacies for reservoir development. (2) The high-quality reservoirs of the Changxing Formation are dominated by medium-thick-layered biogenic reef limestone and bioclastic limestone, with secondary porosity as the main reservoir space. (3) Sedimentary conditions, sea level fluctuations, and diagenesis are crucial factors for reservoir development. Paleogeomorphological conditions provide the foundation for reservoir development, while sea level fluctuations control the internal structure of the reef–shoal and the cyclical variations in the reservoir. [ABSTRACT FROM AUTHOR]

Effectively classifying each pixel in an image is an important research topic in semantic segmentation. The Existing methods typically require the network to directly generate a feature map of the same size as the original image and classify each pixel, which makes it difficult for the network to fully leverage the representations from the backbone. To handle this challenge, this paper proposes a method named mask classification combined with an adaptive dilated convolution network (MCDCNet). Firstly, a Vision Transformer (ViT)-based module is employed to capture contextual features as the backbone. Secondly, the Spatial Extraction Module (SEM) is proposed to extract multi-scale spatial information through adaptive dilated convolution while preserving the original feature size. This spatial information is then integrated into the corresponding contextual features to enhance the representation. Finally, a novel inference process is proposed that incorporates the instance activation map (IAM)-based decoder for semantic segmentation, thereby enhancing the network's capability to capture and comprehend semantic features. The experimental results demonstrate that our network significantly outperforms other per-pixel classification networks across several semantic segmentation datasets. In particular, on Cityscapes, MCDCNet achieves 80.3 mIoU with 11.8 M Params, demonstrating that the network is able to deliver a strong segmentation performance while maintaining a relatively low parameter count. [ABSTRACT FROM AUTHOR]

Simple Summary: In this study, it was discovered that feeding alfalfa polysaccharides and seaweed polysaccharides reduced the incidence of diarrhea and enhanced immune function in Holstein calves. To investigate this phenomenon, microbiomic and metabolomic analyses were further employed to elucidate the underlying mechanisms. The levels of serum catalase and Total Antioxidant Capacity were increased by these polysaccharides, indicating an enhanced antioxidant state. In terms of immune response, the levels of serum complement component 3 and immunoglobulin M were elevated, while pro-inflammatory cytokines were reduced. Gut pathways associated with immunity, antimicrobial, and anti-inflammatory functions were modulated by these polysaccharides, significantly alleviating intestinal inflammation. Additionally, the relative abundance of beneficial bacteria was increased, while pathogenic bacteria were suppressed. Neonatal calves' diarrhea, which can be severe enough to cause death, has a significant impact on the global cattle industry. In this study, alfalfa polysaccharides and seaweed polysaccharides were found to significantly improve the diarrhea condition in neonatal calves. To explore the underlying mechanisms, further microbiomic and metabolomic analyses were conducted. This study investigated the impact of alfalfa polysaccharides and seaweed polysaccharides on growth performance, serum metabolites, gut microbiota, and metabolomics in neonatal Holstein calves. A total of 24 newborn calves were randomly assigned to three groups, with 8 calves per treatment group. The control (CON) group was fed a basal diet, the alfalfa polysaccharide (AP) group received a basal diet supplemented with alfalfa polysaccharides (4 g/calf/day), and the seaweed polysaccharide group (SP) received a basal diet supplemented with seaweed polysaccharides (4 g/calf/day). These polysaccharides were plant extracts. Compared to the CON group, the results indicated that SP significantly enhanced the body weight, height, chest circumference, and average daily gain of Holstein calves (p < 0.05), while also reducing the diarrhea rate and improving manure scoring (p < 0.05). Compared to the CON, AP also reduced the diarrhea rate (p < 0.05). In terms of serum biochemistry, supplementation with AP and SP increased serum alkaline phosphatase (ALP) and insulin-like growth factor 1 (IGF-1) levels compared to the CON group (p < 0.05). Both AP and SP elevated serum catalase (CAT) and Total Antioxidant Capacity (T-AOC) levels, indicating enhanced antioxidant status (p < 0.05). Regarding immune responses, supplementation with AP and SP significantly increased serum complement component 3 (C3) and immunoglobulin M (IgM) levels, while significantly reducing pro-inflammatory cytokines interleukin-18 (IL-18), tumor necrosis factor alpha (TNF-α), and interferon-gamma (IFN-γ) compared to the CON group (p < 0.05). Microbiota analysis revealed that AP modulated the abundance of Firmicutes, while SP influenced the abundance of Prevotella and Succiniclasticum. AP and SP differentially influenced intestinal metabolites compared to the CON group, leading to enrichment in pathways related to immunity, antibacterial, and anti-inflammatory functions. These pathways included the biosynthesis of alkaloids from ornithine, lysine, and nicotinic acid, glucocorticoid and mineralocorticoid receptor canothersis/antagonists, secondary metabolite biosynthesis, and alkaloid biosynthesis from histidine and purine, thus alleviating intestinal inflammation. Therefore, by supplementing with AP and SP, the diarrhea rate in calves was reduced, and the immune function of Holstein calves was enhanced, while simultaneously promoting a higher relative abundance of beneficial gut bacteria and suppressing the relative abundance of pathogenic bacteria. Additionally, gut pathways associated with immune response and inflammation were modulated by AP and SP. This study provided valuable insights and theoretical underpinnings for the use of AP and SP in preventing diarrhea in neonatal calves. [ABSTRACT FROM AUTHOR]

Microbial desalination cells (MDCs) are an efficient method for the desalination of saline wastewater driven by the metabolism of bacteria via an organic oxidation mechanism. Systematic studies have been conducted to elucidate anion-dominated interactions to avoid unforeseen risks in microbial desalination cells during the long-term treatment of complex wastewater containing various anions. Despite different anion migration interactions having less effect on MDC operation compared with cations, they are influenced by their own properties (hydrated ion radius, diffusion coefficient and equivalent conductance) and the ambient solution. This also led to the removal efficiency of different anions in MDC in the following sequence: NO3− > Cl− > SO42−. The high Gibbs hydration energy of SO42− and the hydrophobicity of the anion exchange membrane affect the transmembrane migration of SO42−. However, the high steric hindrance formed on the membrane also inhibits reverse diffusion at the end of the cycle. In addition, the anodic biotopography and community caused by the migration of different anions change, such that the number of denitrifying bacteria increases and the relative abundance of electrogenic bacteria further improves. With decreasing anodic pH, electrogenic microorganisms form a shell to protect against anodic biogenesis. In this study, MDC was used to treat actual industrial tailwater, and the salt removal efficiency stabilized at 63.2–74.1%. [ABSTRACT FROM AUTHOR]

RNA N6-methyladenosine (m6A) is one of the most common and widespread reversible epigenetic modifications of mRNAs, and m6A has been shown to play a positive role in regulating follicular development. However, the role of RNA m6A methylation in chicken ovaries and egg production has not been fully studied. In this study, we comprehensively analyzed the m6A transcriptome profiles of high- and low-yield Gushi chickens at 43 weeks of age (43 w). We found that m6A modification differed between the two groups. The m6A peak was positively correlated with the gene expression level, indicating that m6A may play an important role in regulating chicken egg production. In total, 9008 and 15,415 m6A peaks were separately identified in the two groups, including 2241 differential m6A peaks. In addition, seven candidate genes related to egg laying that were significantly enriched in the KEGG pathway related to ovary development and egg laying were identified. In summary, we constructed the first m6A modification map of ovarian tissue of Gushi chickens, and the differences in egg laying in 43 w Gushi chickens may originate from the effect of RNA methylation on the expression of egg-related genes. These findings provide new insights into the regulatory mechanisms of m6A methylation during egg production in Gushi chickens. [ABSTRACT FROM AUTHOR]

Arsenic (As), a toxic element, is widely distributed in soil and irrigation water. Rice (Oryza sativa L.), the staple food in Southern China, exhibits a greater propensity for As uptake compared to other crops. Arsenic pollution in paddy fields not only impairs rice growth but also poses a serious threat to food security and human health. Nevertheless, the molecular mechanism underlying the response to As toxicity has not been completely revealed until now. Transcriptome analysis represents a powerful tool for revealing the mechanisms conferring phenotype formation and is widely employed in crop breeding. Consequently, this review focuses on the recent advances in transcriptome analysis within the realm of low As breeding in rice. It particularly highlights the applications of transcriptome analysis in identifying genes responsive to As toxicity, revealing gene interaction regulatory modules and analyzing secondary metabolite biosynthesis pathways. Furthermore, the molecular mechanisms underlying rice As tolerance are updated, and the recent outcomes in low As breeding are summarized. Finally, the challenges associated with applying transcriptome analysis to low-As breeding are deliberated upon, and future research directions are envisioned, with the aim of providing references to expedite high-yield and low-arsenic breeding in rice. [ABSTRACT FROM AUTHOR]

Despite extensive research on tree species diversity in tropical rainforests, the differences in diversity between lowland and montane rainforests, as well as the underlying mechanisms, remain unclear. This study utilizes tree inventory data from two dynamic monitoring sample plots, each with an area of 1 hm2, established in the lowland rainforest and montane rainforest regions of Diaoluo Mountain, Hainan Island. We analyzed the composition, diversity, spatial distribution patterns, and interspecific relationships within the tree communities. In total, 154 tree species with DBH > 3 cm were recorded in lowland rainforests, and 119 were recorded in montane rainforests, with lowland rainforests harboring 51 rare species compared to 40 rare species in montane rainforests. The distribution pattern of small trees (with DBH ≤ 7.5 cm) exhibited clustering at a small scale but random distribution at a larger scale. This phenomenon was more prevalent in tropical lowland rainforests, indicating that the negative density dependence effect is more pronounced in lowland rainforests compared to montane rainforests. Moreover, a higher proportion of negative associations and lower niche overlaps were observed in the lowland rainforest compared to the montane rainforest, suggesting that niche differentiation among tree species is more pronounced in the lowland rainforest. In conclusion, the more intense negative density dependence effect and niche differentiation are the primary factors contributing to the higher tree species diversity observed in lowland rainforests. [ABSTRACT FROM AUTHOR]

Sufu is a traditional Chinese condiment with a distinctive flavor. The umami characteristics are primarily attributed to the hydrolysis of proteins, which produces amino acids and biogenic amines (BAs). Excessive levels of BAs can pose health risks, leading to adverse effects, such as headaches, digestive disorders, and abnormal blood pressure. However, the mechanisms leading to the formation of BAs in fermented bean curd remain insufficiently explored. To explore this phenomenon, an analysis was conducted on the texture, physicochemical properties, and BA content dynamic changes of sufu, fermented with Mucor racemosus, at different intervals, by high-performance liquid chromatography-mass spectrometry (HPLC-MS). During the fermentation process, the total biogenic amines exhibited a downward trend, with levels decreasing from 60.66 to 38.19 mg/kg. Spermidine, spermine, and cadaverine were identified as the main biogenic amines produced during the fermentation process. At 0 h and 24 h, spermidine levels significantly decreased (p < 0.05), but no significant differences were observed at 48 h and 72 h. At 96 h, spermidine levels significantly decreased again (p < 0.05). There was a positive relationship between the bioamines and water content and a negative correlation with soluble protein levels. Additionally, low pH inhibits the formation of BAs, while a soft texture was found to increase their production. The results of this study also confirmed the mechanism of BAs formation. These findings offer valuable insights into the safety and quality control of Mouding sufu by clarifying the BA dynamics during pre-fermentation. [ABSTRACT FROM AUTHOR]

Background: The gradual rise in global temperatures can affect skeletal muscle development and intestinal microorganisms. However, the influence of microbial metabolites on skeletal muscle homeostasis under heat stress (HS) remains unclear. Methods: C57BL/6J mice were exposed to normal temperature or 40 °C conditions for 3 d, 7 d, or 14 d. The HS 7 d mice also were treated with sodium butyrate (NaB, 200 mg/kg, gavage). Results: Strikingly, the body weight, antioxidative ability (MDA, T-SOD, and GSH-Px), and average cross-sectional area decreased, but the blood glucose and core temperature increased under HS. However, the NaB treatment reversed these effects. Meanwhile, HS also increased the levels of TNF-α and CORT. Additionally, HS led to a reduction in the villus height and an increase in the crypt depth of the intestine. Microbial 16S rRNA sequencing analysis revealed that HS caused gut microbiota dysbiosis. NaB increased the expression of HSP70 under HS, to maintain skeletal muscle homeostasis. HS stimulated the expression of Pax7, which indicates that skeletal muscle homeostasis was disrupted. Meanwhile, the expressions of MyoG and MyoD were decreased under HS. The immunofluorescence results also show that HS triggered a shift from slow muscle fibers (MYH7) to fast muscle fibers (MYH1). However, NaB recovered the expressions of these muscle-related factors. HS inhibited autophagy initiation (mTOR, Beclin1, Atg5, Atg7, and Atg12), the formation (LC3 II/LC3 I) of autophagosomes, and the binding (p62 and LAMP1) of lysosomes to autophagosomes, which were activated by NaB. C2C12 cells were treated with H2O2 to simulate skeletal muscle oxidative stress, and treated with NaB in advance. Oxidative stress disrupted the homeostasis of the C2C12 cells, characterized by an increase in Pax 7 and decreases in MyoG and MyoD, but these changes were reversed by the NaB treatment. Meanwhile, NaB was unable to maintain the stable expression of Pax7 when autophagy was inhibited. Conclusions: This suggests that NaB can regulate oxidative stress induced by HS through autophagy to maintain skeletal muscle homeostasis. [ABSTRACT FROM AUTHOR]

Background/Objectives: Our previous study demonstrated that 3-(4-hydroxy-3-methoxyphenyl)propionic acid (HMPA) administration improved grip strength and reduced blood urea nitrogen levels, but its underlying mechanisms remain unclear. This study aimed to investigate the effects of HMPA on oxidative stress and muscle fiber composition, emphasizing its potential role in modulating redox signaling pathways and influencing muscle development. Methods: Eight-week-old male C57BL/6 mice were orally administered HMPA solution (50 or 500 mg/kg/day) or distilled water (10 mL/kg) for 14 days, and then divided into sedentary and exhaustive exercise groups to evaluate oxidative stress status, myosin heavy chain (MHC) isoform expression, and underlying mechanisms. Results: Both low and high doses of HMPA reduced oxidative stress by decreasing plasma reactive oxygen metabolites. High-dose HMPA reduced plasma nitrite/nitrate levels and enhanced antioxidant capacity post-exercise, accompanied by changes in the mRNA abundance of antioxidant enzymes (e.g., Sod1 and Nqo1) and reductions in the mRNA abundance of nitric oxide synthases (e.g., Nos2 and Nos3) in the soleus. Additionally, high-dose HMPA administration increased the protein expression of MYH4 in the soleus, while low-dose HMPA enhanced the gene expression of Myh4 and Igf1, suggesting that HMPA may promote fast-twitch fiber hypertrophy through the activation of the IGF-1 pathway. Furthermore, low-dose HMPA significantly increased the gene expression of Sirt1 and Nrf1, as well as AMPK phosphorylation post-exercise, suggesting low-dose HMPA may improve mitochondrial biogenesis and exercise adaptation. Conclusions: These findings suggest that HMPA may serve as a dietary supplement to regulate redox balance, enhance antioxidant defenses, and promote the formation of fast-twitch fibers. [ABSTRACT FROM AUTHOR]

The taxiing stage of an aircraft is characterized by its long duration, low operating thrust, and low combustion efficiency, resulting in substantial emissions of CO, CO2, and VOCs, which adversely affect air quality near airports. This study has developed an open-path Fourier transform infrared spectroscopy (OP-FTIR) monitor with second-level time resolution to enable the optical remote monitoring of pollutants during taxiing. Measurements of CO, CO2, and VOCs were conducted over one month at Hefei Xinqiao International Airport (HXIA). The generalized additive model (GAM) is used for data analysis to reveal complex nonlinear relationships between aircraft emission concentrations and meteorological factors, aircraft models, and their corresponding registration numbers. The GAM analysis shows that among meteorological factors, humidity, and atmospheric pressure have the most significant impact on aircraft exhaust monitoring, with a relative average contribution value as high as approximately six. The explanatory power of aircraft models for emissions is low (R2 < 0.18), whereas that of registration numbers is high (R2 > 0.6), suggesting that individual differences between aircrafts play a crucial role in emission concentration variations. Furthermore, a noticeable correlation was found between the CO/CO2 ratio and volatile organic compound (VOC) concentrations (R2 > 0.63), indicating that combustion efficiency significantly affects VOC emissions. This study not only advances the real-time remote sensing monitoring of pollutants during aircraft taxiing but also underscores the crucial role of the GAM in identifying the key drivers of emissions, providing a scientific basis for precise environmental protection management and policy-making. [ABSTRACT FROM AUTHOR]

High-resolution water depth data are of great significance in island research and coastal ecosystem monitoring. However, the acquisition of high-resolution imagery has been a challenge due to the difficulties and high costs associated with obtaining such data. To address this issue, this study proposes a water depth inversion method based on Gaofen-1 (GF-1) satellite data, which integrates multi-source satellite data to obtain high-resolution bathymetric data. Specifically, the research utilizes bathymetric data derived from Sentinel-2 and Ice, Cloud, and Land Elevation Satellite-2 (ICESat-2) as prior information, combined with high-resolution imagery obtained from the GF-1 satellite constellation (GF-1B/C/D). Then, it employs a scale-invariant effect to map bathymetry with a spatial resolution of 2 m, applied to four study areas in the Pacific Islands. The results are further evaluated using ICESat-2 data, which demonstrate that the water depth inversion results from this study possess high accuracy, with R 2 values exceeding 0.85, root mean square error (RMSE) ranging from 0.56 to 0.90 m, with an average of 0.7125 m, and mean absolute error (MAE) ranging from 0.43 to 0.76 m, with an average of 0.55 m. Additionally, this paper discusses the applicability of the scale-invariant assumption in this research and the improvements of the quadratic polynomial ratio model (QPRM) method compared to the classical linear ratio model (CLRM) method. The findings indicate that the integration of multi-source satellite remote sensing data based on the scale-invariant effect can effectively obtain high-precision, high-resolution bathymetric data, providing significant reference value for the application of GF-1 satellites in high-resolution bathymetry mapping. [ABSTRACT FROM AUTHOR]

Leaf chlorophyll content (LCC) is a key indicator of crop growth condition. Real-time, non-destructive, rapid, and accurate LCC monitoring is of paramount importance for precision agriculture management. This study proposes an improved method based on multi-source data, combining the Sentinel-2A spectral response function (SRF) and computer algorithms, to overcome the limitations of traditional methods. First, the equivalent remote sensing reflectance of Sentinel-2A was simulated by combining UAV hyperspectral images with ground experimental data. Then, using grey relational analysis (GRA) and the maximum information coefficient (MIC) algorithm, we explored the complex relationship between the vegetation indices (VIs) and LCC, and further selected feature variables. Meanwhile, we utilized three spectral indices (DSI, NDSI, RSI) to identify sensitive band combinations for LCC and further analyzed the response relationship of the original bands to LCC. On this basis, we selected three nonlinear machine learning models (XGBoost, RFR, SVR) and one multiple linear regression model (PLSR) to construct the LCC inversion model, and we chose the optimal model to generate spatial distribution maps of maize LCC at the regional scale. The results indicate that there is a significant nonlinear correlation between the VIs and LCC, with the XGBoost, RFR, and SVR models outperforming the PLSR model. Among them, the XGBoost_MIC model achieved the best LCC inversion results during the tasseling stage (VT) of maize growth. In the UAV hyperspectral data, the model achieved an R2 = 0.962 and an RMSE = 5.590 mg/m2 in the training set, and an R2 = 0.582 and an RMSE = 6.019 mg/m2 in the test set. For the Sentinel-2A-simulated spectral data, the training set had an R2 = 0.923 and an RMSE = 8.097 mg/m2, while the test set showed an R2 = 0.837 and an RMSE = 3.250 mg/m2, which indicates an improvement in test set accuracy. On a regional scale, the LCC inversion model also yielded good results (train R2 = 0.76, test R2 = 0.88, RMSE = 18.83 mg/m2). In conclusion, the method proposed in this study not only significantly improves the accuracy of traditional methods but also, with its outstanding versatility, can achieve rapid, non-destructive, and precise crop growth monitoring in different regions and for various crop types, demonstrating broad application prospects and significant practical value in precision agriculture. [ABSTRACT FROM AUTHOR]

Semantic segmentation, a fundamental task in remote sensing, plays a crucial role in urban planning, land monitoring, and road vehicle detection. However, compared to conventional images, multispectral remote sensing images present significant challenges due to large-scale variations, multiple bands, and complex details. These challenges manifest in three major issues: low cross-scale object segmentation accuracy, confusion between band information, and difficulties in balancing local and global information. Recognizing that traditional remote sensing indices, such as the Normalized Difference Vegetation Index and the water body index, reveal unique semantic information in specific bands, this paper proposes a feature-decoupling-based pseudo-Siamese semantic segmentation architecture. To evaluate the effectiveness and robustness of the proposed algorithm, comparative experiments were conducted on the Suichang Spatial Remote Sensing Dataset and the Potsdam-S Aerial Remote Sensing Dataset. The results demonstrate that the proposed algorithm outperforms all comparison methods, with average accuracy improvements of 80.719% and 77.856% on the Suichang and Potsdam datasets, respectively. [ABSTRACT FROM AUTHOR]

As one of the most dynamic natural elements, water resources play a vital role in both ecological and economic activities. The rational allocation of water resources is essential for the sustainable development of human society. Using data from prefecture-level cities in the Yangtze River Economic Belt from 2013 to 2022, this study employs the Cobb–Douglas (C-D) production function to measure the degree of water resource allocation distortion across provinces and cities. Additionally, a panel data model is applied to analyze the influencing factors. The key findings are as follows: The issue of excessive water resource allocation is widespread in the Yangtze River Economic Belt, with the highest degree of distortion observed in the middle reaches, where the average distortion index reaches 1.43—significantly higher than that in the upstream (1.15) and downstream (1.20) regions. Water resource endowment, the South-to-North Water Diversion Project, and rising water prices contribute significantly to improving water resource allocation, whereas increased industrial water use efficiency and excessive government intervention exacerbate allocation distortions. Regionally, the influencing factors exhibit broadly similar effects across provinces. In sectoral analysis, only the estimated coefficients of water resource policies show directional differences, whereas other factors have no significant impact on allocation distortion. By identifying the extent and causes of water resource misallocation, this study provides empirical evidence to support region-specific water management strategies, aiming to enhance resource efficiency and promote sustainable development. [ABSTRACT FROM AUTHOR]

Optimizing the tax business environment is of crucial significance for enhancing enterprise innovation efficiency and fostering sustainable development. This study utilizes the dataset of Chinese A-share listed companies from 2013 to 2022. By leveraging the quasi-natural experiment of the "Decentralization, Management and Service" reform pilot in the tax system, it adopts the multi-period difference-in-differences method to empirically investigate the impact of tax business environment optimization on enterprise innovation efficiency. The research reveals that the "Decentralization, Management, and Service" reform in the tax system exerts a significantly positive influence on enterprise innovation efficiency, and this result remains robust after a series of robustness tests. This optimization promotes enterprise innovation efficiency through three main channels: alleviating financing constraints, reducing transaction costs, and enhancing digitalization levels. The promoting effect is more pronounced for enterprises in mid-western regions, non-state-owned enterprises, large-scale enterprises, and those with high innovation endowments. Furthermore, it further contributes to the improvement of enterprise total factor productivity and the expansion of business scale, achieving the coordinated objectives of enhancing enterprise quality and efficiency and strengthening development momentum. These findings deepen our understanding of the economic implications of optimizing the tax business environment and offer empirical evidence for creating a conducive tax environment for the development of market entities. [ABSTRACT FROM AUTHOR]

Background: Sensorineural hearing loss (SNHL) is a major contributor to hearing impairment, yet effective therapeutic options remain elusive. Mendelian randomization (MR) has proven valuable for drug repurposing and identifying new therapeutic targets. This study aims to pinpoint novel treatment targets for SNHL, exploring their pathophysiological roles and potential adverse effects. Methods: This research utilized the UKB-PPP database to access cis-protein quantitative trait locus (cis-pQTL) data, with SNHL data sourced from the FinnGen database as the endpoint for the MR causal analysis of drug targets. Colocalization analysis was employed to determine whether SNHL risk and protein expression share common SNPs. A phenotype-wide association analysis was conducted to assess the potential side effects of these targets. Drug prediction and molecular docking were subsequently used to evaluate the therapeutic potential of the identified targets. Results: Four drug target proteins significantly associated with sensorineural hearing loss (SNHL) were determined by Mendelian randomization (MR) analysis and co-localization analysis. These drug targets include LATS1, TEF, LMNB2, and OGFR and were shown to have fewer potential side effects when acting on these target proteins by phenotype-wide association analysis. Genes associated with sensorineural hearing loss are primarily implicated in the Hippo signaling pathway, cell–cell adhesion, and various binding regulatory activities and are involved in the regulation of cell proliferation and apoptosis. Next, drugs for the treatment of SNHL were screened by the DsigDB database and molecular docking, and the top 10 drugs were selected based on p-value. Among them, atrazine CTD 00005450 was identified as the most likely therapeutic target, followed by ampyrone HL60 DOWN and genistein CTD 00007324. In addition, LMNB2, LATS1, and OGFR could be intervened in by multiple drugs; however, fewer drugs intervened in TEF. Conclusion: This study has successfully identified four promising drug targets for SNHL, which are likely to be effective in clinical trials with minimal side effects. These findings could significantly streamline drug development for SNHL, potentially reducing the costs and time associated with pharmaceutical research and development. [ABSTRACT FROM AUTHOR]

Salinity stress poses a major obstacle to agricultural productivity. Employing plant growth-promoting rhizobacteria (PGPR) has attracted significant attention due to its potential to improve plant development in challenging conditions. Yet, additional investigation is essential to fully understand the potential of PGPR in mitigating salinity stress, especially in field applications. Hence, this study investigated the resistance mechanisms of soybean (Glycine max (L.) Merr.) under salt stress with PGPR application through a field experiment with four treatments: normal soybean planting (NN), normal planting + PGPR (NP), salt stress planting (SN), and salt stress planting + PGPR (SP). This research investigated how applying PGPR under salt stress influences soybean photosynthetic traits, osmotic regulation, rhizosphere microbial communities, and yield quality. The results demonstrated that salt stress enhanced leaf temperature and significantly reduced the leaf area index, SPAD value, stomatal conductance, photosynthetic rate, and transpiration rate of soybeans. Compared to SN treatment, SP treatment significantly improved the stomatal conductance, photosynthetic rate, and transpiration rate by 10.98%, 16.28%, and 35.59%, respectively. Salt stress substantially increased sodium (Na+) concentration and Na+/K+ ratio in leaves, roots, and grains while reducing potassium (K+) concentration in roots and leaves. Under salinity stress, PGPR application significantly minimized Na+ concentration in leaves and enhanced K⁺ concentration in leaves, roots, and grains by 47.05%, 25.72%, and 14.48%, respectively. PGPR application boosted carbon assimilation (starch synthesis) by enhancing the activities of sucrose synthase, fructokinase, and ADP-glucose pyrophosphorylase. It improved physiological parameters and increased soybean yield by 32.57% compared to SN treatment. Additionally, PGPR enhanced antioxidant enzyme activities, including glutathione reductase, peroxidase, ascorbate peroxidase, and monodehydroascorbate reductase, reducing oxidative damage from salt stress. Analysis of rhizosphere microbial communities revealed that PGPR application enriched beneficial bacterial phyla such as Bacteroidetes, Firmicutes, Nitrospirae, and Patescibacteria and fungal genera like Metarhizium. These microbial shifts likely contributed to improved nutrient cycling and plant–microbe interactions, further enhancing soybean resilience to salinity. This study demonstrates that PGPR enhances soybean growth, microbial diversity, and salt tolerance under salinity stress, while future efforts should optimize formulations, explore synergies, and scale up for sustainable productivity. [ABSTRACT FROM AUTHOR]

Drip fertigation (DF) can improve yield, water use efficiency (WUE), and nitrogen use efficiency (NUE, grain production per unit of the sum of soil inherent mineral N and fertilizer N), as well as reduce the risk of environmental pollution compared with flood irrigation and N fertilizer broadcast (FB). Previously, we showed that DF enhanced the response of the yield to the N topdressing rate (NTR), but the underlying mechanisms associated with the soil N supply, root architecture, and N uptake remain unclear. We conducted a field experiment by testing six N treatments (no N applied, and NTRs of 0, 40, 80, 120, and 160 kg ha−1, denoted as N0, T0, T40, T80, T120, and T160, respectively) under DF and FB from 2021 to 2023. Compared with FB, the NUE and WUE were 4.8–4.9% and 10.0–10.5% higher under DF. The higher NUE was due to an improvement in N uptake efficiency (6.1–7.7%) resulting from the enhanced aboveground N uptake (AGN). The greater AGN under DF was attributed to the higher soil N availability at the soil depth of 0–40 cm. DF decreased the residual soil NO3−-N at a depth of 40–200 cm but increased the NO3−-N at a depth of 0–40 cm. In addition, DF combined with T80 achieved high root length density, surface density, and dry weight density and improved NUE and WUE. DF combined with T80 achieved high yield and efficient utilization of water and N, and the NTR threshold was 61.75–119.50 kg ha−1, in which the production conditions were similar to those of the experimental site. Our results provide a reference for high-efficiency water and N fertilizer usage for irrigated winter wheat production in North China. [ABSTRACT FROM AUTHOR]

Simple Summary: Uncovering the potential value of corn straw is one of the strategies used to develop monogastric animal feed resources. The aim of the present study was to explore the dietary effects of different proportions of fermented straw as a replacement for corn on the growth performance and intestinal health of finishing pigs. Fermented feed supplementation was associated with the maintenance of immune functionality, antioxidant capacity, and intestinal integrity. Replacing corn with a total of 5% fermented straw in the diet improved the lipid metabolism and intestinal microbiota, while 10% fermented straw impaired growth performance. Therefore, replacing corn with 5% fermented straw in the diets of finishing pigs may be a practical and economical strategy for improving their intestinal health without detrimental effects. The aim of the present study was to investigate the dietary effects of replacing corn with different proportions of fermented straw on the growth performance and intestinal health of finishing pigs. A total of 275 healthy commercial finishing pigs aged 126 days (average body weight, 82.96 ± 3.07 kg) were randomly allocated into three groups: the control (CTR, basal diet) group, the 5% fermented straw (FJJG5, replacing 5% of the corn) group, and the 10% fermented straw (FJJG10, replacing 10% of the corn) group. There were six replicates in each group and 14–16 pigs per replicate. On day 39 of the experiment, one animal from each replicate was slaughtered for sampling and for further analysis. The results showed that the finishing pigs in the FJJG10 group had a reduced average daily weight gain and an increased feed-to-gain ratio. The FJJG5 group had reduced total cholesterol, high-density lipoprotein, and low-density lipoprotein in their serum, while the FJJG5 and FJJG10 groups had reduced contents of lactate dehydrogenase. In addition, the FJJG5 group exhibited increased T-SOD activity and MDA content in the colon, while the FJJG10 group also showed increased T-AOC activity in their serum and increased contents of MDA in the colon. The FJJG5 group exhibited increased activities of jejunal disaccharidase and lipase, while the FJJG10 group exhibited decreased jejunal crypt depths. Moreover, the FJJG5 group presented an increased relative expression of APOA4, LPL, and MUC2 but decreased SLC7A7 and IL-10 in the jejunum and APOA4 in the colon. The FJJG10 group exhibited a decreased relative expression of SLC7A7 and IL-10 in the jejunum and decreased MMP13, KCNJ13, APOA4, SLC7A7, LPL, and IL-10 in the colon. Furthermore, the FJJG5 group exhibited an increased relative abundance of Lactobacillus in colon contents, while the FJJG10 group had a reduced relative abundance of streptococcus. In conclusion, 5% fermented straw can improve the lipid metabolism and colon microbiota structure of finishing pigs, while 10% fermented straw has adverse effects on the growth performance and intestinal health of finishing pigs. [ABSTRACT FROM AUTHOR]

Ti3C2Tx MXene, a novel two-dimensional transition metal carbide with nanoscale dimensions, has attracted significant attention due to its exceptional structural and performance characteristics. This review comprehensively examines various preparation methods for Ti3C2Tx MXene, including acid etching, acid–salt composite etching, alkali etching, and molten salt etching. It further discusses several strategies for interlayer exfoliation, highlighting the advantages and limitations of each method. The effects of these techniques on the nanostructure, surface functional groups, interlayer spacing, and overall performance of Ti3C2Tx MXene are evaluated. Additionally, this paper explores the diverse applications of Ti3C2Tx MXene in ceramic materials, particularly its role in enhancing mechanical properties, electrical and thermal conductivity, as well as oxidation and corrosion resistance. The primary objective of the review is to provide scientific insights and theoretical guidance for the preparation of Ti3C2Tx MXene and its further research and innovative applications in ceramic materials, advancing the development of high-performance, multifunctional ceramics. [ABSTRACT FROM AUTHOR]

Simple Summary: This study examines how two key signaling pathways in melanoma work together to promote tumor growth. Specifically, we focused on two enzymes—nNOS (neuronal nitric oxide synthase) and COX-2 (cyclooxygenase-2)—and their respective bioproducts, nitric oxide (NO) and prostaglandin E2 (PGE2). Our study revealed that interferon-gamma (IFN-γ), a cytokine that has been shown to stimulate melanoma progression, stimulates the expression of nNOS and COX-2, and subsequently results in the overproduction of NO and PGE2. In the presence of IFN-γ, the crosstalk between the COX-2/PGE2 and nNOS/NO pathways further augments the induction of PD-L1, an important protein associated with tumor immune suppression. Blocking COX-2 or nNOS using small molecule inhibitors effectively diminished the changes induced by IFN-γ, which could be a novel approach for melanoma therapy. Background/Objectives: Interferon gamma (IFN-γ) in the melanoma tumor microenvironment plays opposing roles, orchestrating both pro-tumorigenic activity and anticancer immune responses. Our previous studies demonstrated the role of neuronal nitric oxide synthase (nNOS) in IFN-γ-stimulated melanoma progression. However, the underlying mechanism has not been well defined. This study determined whether the nNOS/NO and COX-2/PGE2 signaling pathways crosstalk and augment the pro-tumorigenic effects of IFN-γ in melanoma. Methods: Bioinformatic analysis of patient and cellular proteomic data was conducted to identify proteins of interest associated with IFN-γ treatment in melanoma. Changes in protein expression were determined using various analytical techniques including western blot, flow cytometry, and confocal microscopy. The levels of PGE2 and nitric oxide (NO) were analyzed by HPLC chromatography and flow cytometry. In vivo antitumor efficacy was determined utilizing a human melanoma xenograft mouse model. Results: Our omics analyses revealed that the induction of COX-2 was significantly predictive of IFN-γ treatment in melanoma cells. In the presence of IFN-γ, PGE2 further enhanced PD-L1 expression and amplified the induction of nNOS, which increased intracellular NO levels. Cotreatment with celecoxib effectively diminished these changes induced by PGE2. In addition, nNOS blockade using a selective small molecule inhibitor (HH044), efficiently inhibited IFN-γ-induced PGE2 and COX-2 expression levels in melanoma cells. STAT3 inhibitor napabucasin also inhibited COX-2 expression both in the presence and absence of IFN-γ. Furthermore, celecoxib was shown to enhance HH044 cytotoxicity in vitro and effectively inhibit human melanoma tumor growth in vivo. HH044 treatment also significantly reduced tumor PGE2 levels in vivo. Conclusions: Our study demonstrates the positive feedback loop linking nNOS-mediated NO signaling to the COX-2/PGE2 signaling axis in melanoma, which further potentiates the pro-tumorigenic activity of IFN-γ. [ABSTRACT FROM AUTHOR]

Simple Summary: Neutrophils, the most abundant white blood cells crucial for fighting infections, exhibit both tumor-promoting and tumor-inhibiting roles in cancer. This dual behavior depends on the environment around the tumor and includes remodeling the extracellular matrix, fostering angiogenesis, inducing cancer cell death, and enhancing immune responses. A notable yet underexplored phenomenon is the engulfment of neutrophils by cancer cells, potentially mediated by LC3-associated phagocytosis (LAP). This process raises critical questions about its role in either aiding immune evasion or triggering cancer cell death through mechanisms such as ferroptosis. This review delves into neutrophil biology, their complex roles in cancer, the impact of LAP on neutrophil engulfment, and the therapeutic implications of modulating this pathway. Additionally, it highlights the potential of neutrophils as delivery systems for cancer therapies, underscoring the need to unravel tumor-associated neutrophil functions and LAP mechanisms to inform novel and effective cancer treatments. Neutrophils, the most abundant circulating white blood cells, are essential for the initial immune response to infection and injury. Emerging research reveals a dualistic function of neutrophils in cancer, where they can promote or inhibit tumor progression. This dichotomy is influenced by the tumor microenvironment, with neutrophils capable of remodeling the extracellular matrix, promoting angiogenesis, or alternatively inducing cancer cell death and enhancing immune responses. An intriguing yet poorly understood aspect of neutrophil–cancer interactions is the phenomenon of neutrophil engulfment by cancer cells, which has been observed across various cancers. This process, potentially mediated by LC3-associated phagocytosis (LAP), raises questions about whether it serves as a mechanism for immune evasion or contributes to tumor cell death through pathways like ferroptosis. This review examines current knowledge on neutrophil development, their roles in cancer, and the mechanisms of LAP in neutrophil engulfment by tumor cells. We discuss how manipulating LAP impacts cancer progression and may represent a therapeutic strategy. We also explore neutrophils' potential as delivery vehicles for cancer therapeutic agents. Understanding the complex functions of tumor-associated neutrophils (TANs) and the molecular mechanisms underlying LAP in cancer may open new avenues for effective therapeutic interventions and mitigate potential risks. [ABSTRACT FROM AUTHOR]

Simple Summary: Pancreatic ductal adenocarcinoma (PDAC) is a disease with a dismal prognosis and limited curative treatment options. Targeted molecular therapies may offer a ray of hope for these patients; however, there is a significant knowledge gap regarding the differences between primary PDAC and metastatic PDAC at the molecular level. Awareness of this critical information may help direct the development of personalized therapies for these patients. This study aimed to investigate comprehensive molecular profiles of metastatic PDAC in comparison to primary PDAC reported in our prior study and supplemented by TCGA data. Background: Pancreatic ductal adenocarcinoma (PDAC) is often diagnosed late, with an extremely poor prognosis. Treatment options like surgery, radiation, and chemotherapy are rarely curative. Tumor progression from primary to metastatic PDAC remains poorly understood at the molecular level. Methods: In the current study, we analyzed the molecular profiles of metastatic PDAC obtained via the Oncomine Comprehensive Assay in comparison to primary PDAC. Results: The current study cohort consisted of 115 metastatic PDAC cases, of which 71 (62%) cases succeeded in molecular testing while the remaining 44 (38%) cases contained insufficient tumor cells. Molecular profiling of 71 cases revealed a total of 239 molecular alterations, 3.4 alterations per case on average, predominantly in the form of gene mutations. The most common gene mutations included KRAS (86%) and TP53 (83%) mutations. Gene copy number alterations were also detected in 19 (27%) cases involving genes such as CCNE1 and ERBB2. Compared to the molecular profiles of primary PDAC reported in our prior study and TCGA database, there seemed to be increased rates of TP53, ARID1A, BRAF, and PIK3CA mutations in the metastatic diseases. Conclusions: These findings suggest that metastatic PDAC possesses unique genetic characteristics, offering potential therapeutic targets in advanced-stage pancreatic cancer. [ABSTRACT FROM AUTHOR]

Discharge treatment is a vital process in the pretreatment of spent lithium-ion batteries (LIBs). This paper focuses on the effects of ultrasonic pretreatment on the discharge of spent LIBs from the perspective of electrolyte concentration and ultrasonic power. By integrating characterizations such as pH measurement and X-ray fluorescence (XRF), the effect of ultrasonic pretreatment on the discharge of spent LIBs is evaluated. Experimental results show that sodium chloride (NaCl) solution and potassium chloride (KCl) solution have a more significant and better discharge efficiency (DE) under ultrasonic treatment, while organic electrolyte solutions which mainly contain formate and acetate generally show a less ideal DE. Under experimental conditions of using electrolyte discharge solutions with various electrolyte concentrations with the same ultrasonic power of 300 W, the DE generated from the experimental condition with KCl solution in 30 g/200 mL deionized water is the highest, 64.9%; under different ultrasonic powers in the same electrolyte solutions, the DE of 10 wt.% HCOONa solution is the highest at ultrasonic power of 500 W, at 4.7%. This work provides a reference for the efficient and cost-effective pretreatment of spent LIBs and the discharge mechanism in different electrolyte solutions with ultrasonic treatment is also explored to support the recycling of spent LIBs. [ABSTRACT FROM AUTHOR]

The relativistic jets of gamma-ray bursts (GRBs) might be powered by a black-hole (BH) hyperaccretion system. The inherent asymmetry in these jets generates recoil forces, inducing oscillations and positional deviations of the BH from equilibrium. In this study, we explore the influence of different initial BH mass, spin, and mass accretion rate, as well as their evolutions on the dynamical properties of BH under the effect of asymmetric jets. Our results reveal that the initial mass and accretion rate significantly impact the BH's acceleration, velocity, and displacement, while the different initial spin plays a negligible role in shaping the overall dynamical evolution. Additionally, we calculate the gravitational wave (GW) strains associated with the asymmetric jets, finding that the resulting GW signals are too weak to be detected, even for nearby GRBs. These findings provide critical insights into the dynamical response of BHs to asymmetric jets and the associated GW radiation, advancing our understanding of BH physics in GRBs. [ABSTRACT FROM AUTHOR]

Objectives: Sodium butyrate (SB) is a typical postbiotic known to positively affect economic animals in recent years, but research on SB in pet cats is scarce. Consequently, this study sought to explore the influence of SB on anti-inflammatory and antioxidant capacity, immune function, and gut microbiota of adult cats through the assessment of biochemical parameters and comprehensive integrative omics analysis. Methods: A total of 30 adult cats were divided into three groups: a basal diet (NC), basal diet with 0.05% SB (SB5), and basal diet with 0.1% SB (SB10). The experiment lasted for 6 weeks. Results: The results indicated that the fecal level of calprotectin was lower in the SB10 group than in the SB5 and NC groups. The SB10 group reduced the serum levels of TNF-α, IL-1β and DAO compared with the NC group (p < 0.05). In addition, the SB10 diet increased the GSH-Px level and decreased MDA content compared with the NC diet (p < 0.05). Transcriptomic analysis showed that the gene expression of VCAM1 exhibited a notable decrease in the SB10 group compared to the NC group (p < 0.05). The analysis of gut microbiota revealed that the richness of gut microbiota was higher in the SB10 than in the NC group (p < 0.05), and the abundance of Lachnospiraceae, Lachnoclostridium, Blautia, and Roseburia was greater in the SB10 than in the NC group (p < 0.05). Conclusions: Dietary SB could enhance the antioxidant and anti-inflammatory capacity, improve immune function, and positively regulate the gut microbiota composition in adult cats. [ABSTRACT FROM AUTHOR]

The development of efficient electrocatalysts for the complete oxidation of ethylene glycol (EG) is crucial for enhancing the practicality of direct EG fuel cells (DEGFCs). However, significant challenges persist in developing highly active Pd-based catalytic electrodes. In this work, PdIrNi ternary telluride nanospheres (PdIrNiTe-MNSPs) with mesoporous morphology and an amorphous structure were successfully synthesized and applied in electrocatalytic EG oxidation reaction. Brunauer–Emmett–Teller analysis revealed typical mesoporous characteristics, with a surface area of 8.33 m2·g−1 and a total pore volume of 0.055 cm3·g−1, respectively. Transmission electron microscopy characterization showed that the outer layer of PdIrNiTe-MNSPs is entirely amorphous in structure. Electrochemical tests demonstrated that PdIrNiTe-MNSPs exhibit enhanced electrocatalytic specific activity (16.75 mA·cm−2) and mass activity (1372.22 mA·mg−1) for EG oxidation reaction (EGOR), achieving 3.17 and 2.09 times higher than commercial Pd/C, which can be attributed to its unique nanoarchitecture and optimized electron configuration. In situ spectroscopy revealed that with the incorporation of IrNi, PdIrNiTe-MNSPs facilitate C-C bond cleavage of EG, achieving a higher selectivity (≈93%) in oxidizing EG to C1 products, while PdTe-MNSPs demonstrated higher selectivity for glycolic acid in EGOR. Taken together, this work provides new insights into the application of Pd-based telluride nanomaterials in electrocatalysis for EGOR. [ABSTRACT FROM AUTHOR]

Acute lung injury (ALI)/acute respiratory distress syndrome (ARDS) is a pulmonary disease with high mortality associated with inflammation. During the development of ALI/ARDS, macrophages usually polarize toward M1 pro-inflammatory macrophages, promoting the inflammatory response in ALI/ARDS and aggravating lung tissue damage. Natural compounds with anti-inflammatory activity have achieved excellent results in the treatment of ALI/ARDS through different regulatory modes, including macrophage polarization. Of note, flavonoid, brevilin A, and tetrahydropalmatine play an important role in the treatment of ALI/ARDS by modulating the phenotypic polarization of macrophages and their pro-inflammatory cytokine expression in innate immune cells of the lung. Flavonoids are a kind of naturally occurring polyphenol compound, which has antioxidant and anti-inflammatory activities. Studies have found that some flavonoids can alleviate ALI/ARDS through inhibiting the expression of inflammatory cytokines in macrophages. Among them, 5-methoxyflavone, acacetin, grape seed proanthocyanidins, and luteolin can also regulate macrophage polarization. Therefore, the in-depth exploration of the regulatory mechanism of macrophages can lay the foundation for the application of flavonoids in alleviating inflammation-related lung injury. This review focuses on the macrophage polarization effects of different natural compounds and their potential anti-inflammatory mechanisms in the treatment of ALI/ARDS. [ABSTRACT FROM AUTHOR]

Background/Objectives: The COVID-19 pandemic has adversely impacted the mental health of nurses worldwide. Nurse burnout results from chronic workplace stress and is characterized by exhaustion, negative or cynical feelings about work, and a diminished sense of accomplishment. This can lead to turnover intention. Therefore, psychological capacities, such as psychological flexibility, that could help nurses regulate and minimize the impact should be studied. This study aimed to compare burnout, insomnia and turnover intention among nurses from an Eastern and Western cultural context and to investigate the role of psychological flexibility as a protective factor against mental health and related problems such as insomnia and turnover intention. Methods: Nurses from Hong Kong (n = 158) and Switzerland (n = 294) involved in patient care during the COVID-19 pandemic participated in an online mental health survey. Results: We observed high levels of burnout, subthreshold insomnia and turnover intention in nurses from both Switzerland and Hong Kong, with higher burnout rates among Hong Kong nurses and higher turnover intentions among nurses from Switzerland, and that psychological flexibility is a crucial factor that may protect nurses from burnout and insomnia. Conclusions: The nurses from both regions involved in patient care one year after the onset of the pandemic suffered from poor mental health. Psychological flexibility was identified as a critical factor in improving nurses' mental health. The results of this study should be incorporated into health promotions for nursing professionals and help develop specific and effective interventions for practical nursing application. [ABSTRACT FROM AUTHOR]

Simple Summary: Many microorganisms exist in the gut of insects and are collectively referred to as the gut microbiota. Gampsocleis gratiosa (Orthoptera, Tettigoniidae) is an omnivorous chirping insect with a long history of artificial breeding in China. In the present study, the bacterial communities of laboratory-reared G. gratiosa feces were isolated and identified using 12 different media and we investigated the physiological and biochemical characteristics and the antibiotic susceptibility of the isolates to 16 common antibiotics, laying a theoretical foundation for the further exploration of the physiological function of gut bacteria of G. gratiosa and the relationship between gut bacteria and host. Gampsocleis gratiosa Brunner von Wattenwyl, 1862, is a type of omnivorous chirping insect with a long history of artificial breeding. It has high economic value and is also an excellent orthopteran model organism. In this study, 12 types of culture media combined with 16S rRNA sequencing were employed to isolate 838 bacterial strains from the gut of G. gratiosa. After sequence comparison, a total of 98 species of bacteria were identified, belonging to 3 phyla, 5 classes, 11 orders, 20 families, and 45 genera. Firmicutes and Proteobacteria accounted for the majority (92.86%). At the order level, Enterobacteriaceae, Bacillales, and Lactobacillales predominated (79.59%). At the genus level, Klebsiella (11.22%) and Enterococcus (7.14%) predominated. This study also enumerated the strain morphological, physiological and biochemical properties of 98 species of bacteria, including colony morphology, Gram staining, bacterial motility test, temperature gradient growth, pH gradient growth, citrate utilization test, temperature oxidase test, contact enzyme test, methyl red test, V-P test, indole test, gelatin liquefaction test, nitrate reduction test, hydrogen sulfide test, starch hydrolysis test, cellulose decomposition test, esterase (corn oil) test and antibiotic susceptibility testing. Additionally, 16 antibiotics were utilized to test the bacterial susceptibility of the strains. This study explored the types and community structure of some culturable microorganisms in the intestinal tract of G. gratiosa and recorded their physiological characteristics. These data reflect the physiological functions of the intestinal microorganisms of G. gratiosa and provide support for subsequent research on the interaction mechanism between microorganisms and their hosts. [ABSTRACT FROM AUTHOR]

Magnesium and its alloys are widely used for bone fixation and repair due to their biodegradability. However, their application is limited due to their poor corrosion resistance and rapid degradation rate in the human body. Surface engineering represents an effective approach to modifying the degradation characteristics of magnesium alloys to meet the requirements of biological systems. Constructing bioactive coatings on the surface of substrates is essential to improve their biocompatibility and corrosion resistance, representing an effective method of surface modification. This review summarizes the current research on the construction of bioactive coatings on magnesium and its alloys, including inorganic coatings, polymer coatings, and composite coatings, which presents an analysis of their respective research statuses. Furthermore, this review discusses the future developments of biodegradable magnesium and its alloy systems, focusing on achieving satisfactory specifications for clinical trials and implementation. Its goal is to provide critical insights to materials scientists and clinical practitioners involved in the development of applicable biodegradable magnesium alloys. [ABSTRACT FROM AUTHOR]

This study investigates the influence of micro-arc oxidation (MAO) duration on the formation and characteristics of ceramic coatings on 6061 aluminum alloys. MAO treatments were conducted in a silicate-based electrolyte for varying durations. The effects of oxidation time on film thickness, surface roughness, morphology, and phase composition were meticulously assessed using a film thickness gauge, surface roughness meter, scanning electron microscopy (SEM), and X-ray diffraction (XRD) analysis. The corrosion behavior of the coatings was evaluated in a 3.5% NaCl solution using an electrochemical workstation. The experimental results demonstrate that both the film thickness and surface roughness exhibit a positive correlation with oxidation time. Notably, the film growth rate initially increased before plateauing, suggesting an optimal oxidation duration. The coatings primarily comprise γ-Al2O3, α-Al2O3, and Al phases, with the proportions of γ-Al2O3 and α-Al2O3 increasing progressively with extended oxidation times. Comparative electrochemical tests revealed that the treated specimens exhibited significantly higher corrosion potential and reduced corrosion current densities compared to the untreated aluminum alloy substrate. Specifically, a coating produced with a 20 min oxidation time demonstrated an exceptional corrosion current density (Jcorr) of 1.545 × 10−6 A·cm−2 and a corrosion resistance (Rp) of 2.716 × 104 Ω·cm2, signifying the best corrosion resistance achieved in this study. These results underscore the pivotal role of oxidation time in tailoring the properties of micro-arc-oxidized layers on 6061 aluminum alloys, offering valuable insights for enhancing corrosion protection in practical applications. [ABSTRACT FROM AUTHOR]