Search

The current method of electricity stealing has changed from simple to high-tech. In this paper, combined with HPLC communication technology and measurement equipment, a three-layer progressive analysis model is established. The model fully exploits the advantages of HPLC in deepening application functions. Based on the edge computing resources and processing capabilities of the current electricity consumption information acquisition system, it realizes the identification of electricity theft behavior, the evaluation of user suspicion, the forensics of electricity theft, and the minute-level dispatch response to meet the actual power theft on site.

Background: Both obstructive sleep apnea (OSA) and non-alcoholic fatty liver disease (NAFLD) are prevalent within obese individuals. We aimed to investigate the effects of intermittent hypoxia (IH), a clinical feature of OSA, on hepatic expression of fatty acid translocase (CD36) in relation to liver injury in lean and diet-induced obese mice. Methods: Four-week-old male C57BL/6J mice were randomized to standard diet (SD) or high fat (HF) diet groups. At 13-week-old, all mice were exposed to either air or IH (IH30; thirty hypoxic episodes per hour) for four weeks. We assessed liver injury through lipid profile, oxidative and inflammatory stress, histological scoring and hepatic CD36 expression. Results: In lean mice, IH elevated serum and hepatic triglyceride and free fatty acid (FFA) levels, in line with upregulation of hepatic CD36 expression and myeloperoxidase (MPO)-positive cells in support of inflammatory infiltrates along with increase in serum malondialdehyde (MDA), C-X-C motif chemokine ligand 1(CXCL-1) and monocyte chemoattractant protein-1 (MCP-1). In diet-induced obese mice, an increase in hepatic alanine transaminase (ALT) activity, serum and hepatic levels of lipid parameters and inflammatory markers, serum MDA level, hepatic expressions of CD36 and α-smooth muscle actin (α-SMA), and MPO-positive cells was observed. IH potentiated hepatic ALT activity, serum CXCL-1 and hepatic interleukin-6 (IL-6), in line with inflammatory infiltrates, but paradoxically, reduced hepatic FFA level and hepatic CD36 expression, compared to obese mice without IH exposure. However, IH further augmented diet-induced liver steatosis and fibrosis as shown by histological scores. Conclusion: This study contributes to support that IH featuring OSA may lead to liver injury via differential regulation of hepatic CD36 expression in lean and diet-induced obese mice.

In the power system with a high proportion of new energy access, the original electric vehicle charging operation mode of the distribution network will change, and the acceptance capacity of electric vehicles also needs to be re-evaluated. In this paper, an evaluation method for the acceptance capacity of electric vehicles is proposed for the distribution network with photovoltaic power generation system installed. Considering the random variation characteristics of the output of the photovoltaic power generation system, seasonal periodicity, and the influence of weather factors, an evaluation model is established. It uses the particle swarm optimization algorithm to calculate the number of electric vehicles that the photovoltaic power generation system can accept, and to analyze the acceptance capacity of the distribution network for electric vehicles. The method utilizes the photovoltaic output to fill the electric vehicle charging demand, and can realize the mutual consumption of the electric vehicle charging and the photovoltaic output.

With the widespread application of electric vehicles, the constant-power charging method that users can charge immediately makes the charging period of the vehicle coincide with the peak period of regular electricity consumption of the distribution network, which will cause the phenomenon of ”peak-on-peak” of the basic load of the power grid. In this paper, a variable power regulation charging optimization strategy is proposed, which takes the charging power and charging state of the electric vehicle in each period as the optimization variables, and uses the particle swarm algorithm to solve the charging strategy. Taking an office area as an example, the results show that the acceptance capacity is significantly improved when the variable power charging strategy is adopted.

Estimating structural connectivity from diffusion-weighted magnetic resonance imaging is a challenging task, partly due to the presence of false-positive connections and the misestimation of connection weights. Building on previous efforts, the MICCAI-CDMRI Diffusion-Simulated Connectivity (DiSCo) challenge was carried out to evaluate state-of-the-art connectivity methods using novel large-scale numerical phantoms. The diffusion signal for the phantoms was obtained from Monte Carlo simulations. The results of the challenge suggest that methods selected by the 14 teams participating in the challenge can provide high correlations between estimated and ground-truth connectivity weights, in complex numerical environments. Additionally, the methods used by the participating teams were able to accurately identify the binary connectivity of the numerical dataset. However, specific false positive and false negative connections were consistently estimated across all methods. Although the challenge dataset doesn’t capture the complexity of a real brain, it provided unique data with known macrostructure and microstructure ground-truth properties to facilitate the development of connectivity estimation methods.

Carbapenem resistance presents a major challenge for the global public health network, as clinical infections caused by carbapenem-resistant organisms (CRO) are frequently associated with significant morbidity and mortality. Ceftazidime–avibactam (CAZ–AVI) is a novel cephalosporin/β-lactamase inhibitor combination offering an important advance in the treatment of CRO infections. CAZ–AVI has been reported to inhibit the activities of Ambler classes A, C, and some class D enzymes. However, bacterial resistance has been emerging shortly after the introduction of this combination in clinical use, with an increasing trend. Understanding these resistance mechanisms is crucial for guiding the development of novel treatments and aiding in the prediction of underlying resistance mechanisms. This review aims to systematically summarize the epidemiology of CAZ–AVI-resistant strains and recently identified resistance mechanisms of CAZ–AVI, with a focus on the production of β-lactamase variants, the hyperexpression of β-lactamases, reduced permeability, and overexpressed efflux pumps. The various mechanisms of CAZ–AVI resistance that have emerged within a short timescale emphasize the need to optimize the use of current agents, as well as the necessity for the surveillance of CAZ–AVI-resistant pathogens.

Introduction: The combination of different agents used for procedural sedation allows a greater range of desirable effects while minimizing side effects. The ketamine-dexmedetomidine combination (ketadex) and ketamine-propofol combination (ketofol) are successful examples. The purpose of this meta-analysis was to compare the safety and efficacy of ketadex with ketofol used for procedural sedation in pediatric patients. Methods: We searched Pubmed, Cochrane Controlled Register of Trials, and Embase from inception to June 2022. Studies were independently evaluated for inclusion criteria and exclusion criteria by two reviewers. Outcome measures for safety comparison were the incidence of hypotension, bradycardia, respiratory depression, nausea, vomiting, and agitation; Outcome measure for efficacy comparison was clinicians' satisfaction. In addition, we compared the recovery time of ketadex and ketofol. Results: Nine studies were included in this meta-analysis. Compared with ketofol, ketadex sedation in pediatric patients had lower risk of respiratory depression (RR: 0.51, 95% CI: 0.34–0.76, P = 0.0009). However, ketadex displayed significant effect on recovery time (MD: 8.38 min, 95% CI: 7.55–9.22 min, P < 0.00001). Ketadex had similar incidence of hypotension (RR: 0.95, 95% CI: 0.33–2.67, P = 0.92) and bradycardia (RR: 1.80, 95% CI: 0.64–5.06, P = 0.26) compared to those with ketofol. Clinicians' satisfaction rate of ketadex and ketofol were both high (RR: 0.93, 95% CI: 0.69–1.25, P = 0.62). Also, no significant difference was observed between ketadex and ketofol on the incidence of nausea, vomiting, and agitation. Conclusions: Both ketadex and ketofol can provide effective sedation and maintain stable hemodynamics. In consideration of good safety profile in respiratory problems, we suggest ketadex is a better option for procedural sedation in pediatric patients.

Various traditional edible fungi were demonstrated to modulate gut microbiota. In this study, 1H NMR and high-throughput sequencing were used to investigate the difference of microecology modulating function between Ophicordyceps sinensis and Cordyceps militaris. The data showed that total 7 constituents (glucose, mannitol, trehalose, aspartate, glutamate, lysine, threonine) were selected as potential biomarkers to identify O. sinensis and C. militaris based on 1H NMR. After in vitro fermentation, both O. sinensis and C. militaris modulated gut microbiota composition, via decreasing the ratio of Firmicutes to Bacteroidetes. However, O. sinensis could significantly decreased the pH and stimulated the production of short-chain fatty acids versus C. militaris. O. sinensis also increased the relative abundance of probiotics including Phascolarctobacterium and Bifidobacterium. In general, the results suggested that O. sinensis had more positive effects on gut microbiota compared with C. militaris, which was conducive to the development of functional products of traditional edible fungi.

Osteoarthritis (OA) is a degenerative disease that affects multiple cells and associated extracellular matrix (ECM). Chondrocytes and chondroextracellular matrix together constitute articular cartilage tissue. Any factors that affect the activity of chondrocytes and destroy the metabolic balance of the chondrocyte ECM will lead to the inability of articular cartilage to perform normal functions. The articular subchondral bone and articular cartilage must be coordinated to resist enough friction and mechanical stress, so the articular subchondral bone lesion will aggravate the articular cartilage defect and vice versa. Synoviocytes, including fibroblast-like synoviocytes (FLSs) and synovial macrophages at the joint, are also important factors that cause low-grade chronic progressive inflammation of OA. Regulation of phenotype transformation of synovial macrophages has become another possible target for the clinical treatment of OA. Ubiquitination and deubiquitination are the main post-translational protein modification pathways in the human body, which are widely involved in multiple signaling pathways and physiological processes. Naturally, they also play a very important regulatory role in the occurrence and development of OA. These effects are summarized in this review, including (A) regulating the aging and apoptosis of chondrocytes, FLSs and osteoblasts; (B) regulation of ECM degradation; (C) regulation of macrophage phenotypic transformation; (D) modulation of skeletal muscle and adipose tissues. Ubiquitination targeting drugs for OA treatment are also listed. Depending on the high efficiency of ubiquitination and deubiquitination, understanding OA-related ubiquitination pathways can help design more efficient drugs to treat OA and provide more potential targets for clinical treatment.The Translational Potential of This Article.In this paper, the ubiquitination-related pathways in osteoarthritis (OA), including aging, apoptosis and autophagy in chondrocytes, osteoblasts, FLSs and macrophages were investigated. In particular, several ubiquitination-related targets are expected to be effective approaches for OA clinical treatment. In addition, in the process of OA occurrence and development, the complex relationship between the local joint area and other tissues including skeletal muscle and adipose tissue is also discussed. These myokines and adipokines from musculoskeletal tissues are all expected to become efficient targets for OA treatment apart from the joint itself. In addition, those myokines secreted by cardiovascular tissues would show potential therapeutic effects as well. What if altering the contents for these ubiquitination-related targets in the serum through exercise will provide a new idea for OA therapy or prevent OA from deteriorating continuously?

Background: The reportedly high mutation rate of mitochondrial DNA (mtDNA) may be attributed to the absence of histone protection and complete repair mechanisms. Mitochondrial heteroplasmy refers to the coexistence of wild-type and mutant mtDNA. Most healthy individuals carry a low point mutation load (

Damage to the substrate hinders the application of laser paint stripping (LPS) on carbon fiber reinforced polymers (CFRP), but the damage mechanism is currently unknown. In this paper, the LPS characteristics of CFRP, such as paint stripping depth, surface morphology and dynamic behavior, are firstly obtained. Subsequently, the surface damage mechanism of CFRP is discussed in detail by theoretical analysis and finite element method, and the effect of substrate damage on adhesive properties is investigated. The results show that it is difficult for LPS to obtain a complete surface free of paint residue. The strong laser plasma impact and resin pyrolysis pressure cause the resin to crack and flake before the paint is fully ablated. The carbon fiber then breaks and are thrown outward by heat and forces, and the surface with slightly fracture of the fiber will facilitate bonding with the paint.

Polycyclic aromatic hydrocarbons (PAHs), including the Group 1 human carcinogen benzo[a]pyrene (BaP), are produced by the incomplete combustion of organic matter and thus are present in tobacco smoke, charbroiled food and diesel exhaust. The nematode Caenorhabditis elegans is an established model organism, however it lacks the genetic components of the classical mammalian cytochrome P450 (CYP)-mediated BaP-diol-epoxide metabolism pathway. We therefore introduced human CYP1A1 or CYP1A2 together with human epoxide hydrolase (EPHX) into the worm genome by Mos1-mediated Single Copy Insertion (MosSCI) and evaluated their response to BaP exposure via toxicological endpoints. Compared to wild-type control, CYP-humanised worms were characterised by an increase in pharyngeal pumping rate and a decrease in volumetric surface area. Furthermore, BaP exposure reduced reproductive performance, as reflected in smaller brood size, which coincided with the downregulation of the nematode-specific major sperm protein as determined by transcriptomics (RNAseq). BaP-mediated reproductive toxicity was exacerbated in CYP-humanised worms at higher exposure levels. Collagen-related genes were downregulated in BaP-exposed animals, which correlate with the reduction in volumetric size. Whole genome DNA sequencing revealed a higher frequency of T > G (A > C) base substitution mutations in worms expressing human CYP1A1;EPHX which aligned with an increase in DNA adducts identified via an ELISA method (but not classical 32P-postlabelling). Overall, the CYP-humanised worms provided new insights into the value of genome-optimised invertebrate models by identifying the benefits and limitations within the context of the (3Rs) concept which aims to replace, reduce and refine the use of animals in research.

Vegetation restoration is synergistic with restoring riparian ecosystems to enhance soil quality in the water level fluctuation zone (WLFZ), which is degraded by repeated inundations and cyclical fluctuations of reservoir water levels. Assessing the influence of diverse vegetation restoration strategies on soil nutrient content in the WLFZ is essential for optimizing restoration models. To evaluate the effects of different restoration approaches on soil nutrients in the WLFZ of Heilongtan Reservoir, the integrated levels of soil nutrients in similar topographical environments but with varying vegetation restoration strategies were quantitatively assessed using the entropy weight method. The results showed that reservoir water-level fluctuations significantly altered the distribution and composition of vegetation communities in the WLFZ. Inundation stress exerted a constraining effect on plant diversity, with artificial restoration strategies increasing the concentration of dominant species at the expense of overall species diversity and abundance compared with natural restoration methods. The soil organic carbon (SOC) content in the WLFZ was 77.46 % lower than that in the non-flooded areas under natural restoration conditions. However, this disparity was reduced to 23.36 % with artificial restoration, demonstrating more effective mitigation of the impact of flooding on SOC content. Inundation stress generally diminished the overall soil nutrient content, and artificial restoration resulted in higher levels of total nitrogen, total phosphorus, and total potassium by 26.04–52.53 %, 6.85–22.99 %, and 67.05–91.37 %, respectively, compared to natural restoration. Compared to the CK, the soil nutrient composite index (SNCI) exhibited a reduction of 32.09 %, whereas artificial restoration showed a significantly lower decrease of only 10.62 %. Pearson’s correlation analysis revealed that water level elevation and restoration mode were paramount factors shaping plant community diversity in the WLFZ. Notably, restoration mode emerged as a significant principal influence on SNCI variations (P

Summary: Evaluating the invasiveness of lung adenocarcinoma is crucial for determining the appropriate surgical strategy, impacting postoperative outcomes. This study developed a multimodality model combining radiomics, intraoperative frozen section (FS) pathology, and clinical indicators to predict invasion status. The study enrolled 1,424 patients from two hospitals, divided into multimodal training, radiology testing, and pathology testing cohorts. A prospective validation cohort of 114 patients was selected between March and May 2023. The radiomics + pathology + clinical indicators multimodality model (multi-RPC model) achieved an area under the curve (AUC) of 0.921 (95% confidence interval [CI] 0.899–0.939) in the multimodal training cohort and 0.939 (95% CI 0.878–0.975) in the validation cohort, outperforming single- and dual-modality models. The multi-RPC model’s predictive accuracy of 0.860 (95% CI 0.782–0.918) suggests that it could significantly reduce inappropriate surgical procedures, enhancing precision oncology by integrating multimodal information to guide surgical decisions.

When extracting amorphous silicon from fly ash using a strong alkaline solution, other elements such as Al also enter the silicon extraction solution in the form of AlOH4−. To systematically investigate the impact of AlOH4− on the synthesis of typical calcium silicate hydrate crystals in a silicon extraction solution, a specific amount of AlOH4− was added to the silicon extraction solution, and calcium silicate was hydrothermally synthesized at 90℃ and 230℃. Scanning electron microscopy (SEM) and Brunner−Emmet−Teller (BET) analysis revealed that with the increasing in AlOH4− content, microporous calcium silicate gradually loses its microporous morphology. While the specific surface area shows no significant change, the median pore diameter first increases from 1.47 nm to 1.58 nm and then decreases to 1.55 nm. The xonotlite fibers underwent a gradual refinement, diminishing from 0.28 to 0.15 µm. Simultaneously, the specific surface area increases from 28.87 to 56.8 m2/g. At an AlOH4− concentration of 3 mol/L, the microscopic morphology transforms into a sheet-like structure. X-ray diffraction (XRD) analysis reveals that AlOH4− promotes the formation of tobermorite while inhibiting the further development of calcium silicate. Additionally, Fourier transform infrared spectroscopy (FTIR) and nuclear magnetic resonance indicate that Al can replace Si in the calcium silicate hydrate system, primarily substituting positions the Q2 and Q3 sites. Qualitatively, it is suggested that with the increasing incorporation of Al, the polymerization degree of the silicon-oxygen tetrahedra decreases. According to experimental results, the concentration of AlOH4− should be below 0.05 mol/L when synthesizing microporous calcium silicate hydrate and less than 0.2 mol/L when synthesizing fibrous xonotlite-type calcium silicate hydrate.

Research on green buildings is receiving increasing attention in areas such as mitigating global climate change and promoting sustainability in the built environment. This study is based on the experimental and simulation analysis of embedded composite beam-column elements to investigate their potential in improving the sustainability, structural stability and seismic capacity of lightweight residential buildings. A case study of Tianyuan II villa in Changsha city district, China, is used to demonstrate the proposed methodology and validate the rationality of the design solution. In this case, the conventional hollow steel tube columns were replaced by a novel embedded composite column design derived from an optimized steel-to-wood ratio. This alternative approach aims to improve the load carrying capacity and buckling resistance of the building elements, as well as the overall structural integrity of the building frame, especially under seismic conditions. The study shows that: the overall dimensional stability of the building with this structural column under seismic action is better, the hysteresis curve of the column is full, which reflects a strong seismic wave absorption capacity; the damage is mainly manifested by the fracture of the column foot joints and the tearing caused by the non-uniform contact; and the structural column is able to replace the pure steel columns and to ensure the safety and stability of the building.

The variance in molecular weight stands as the principal reason behind the compromised compatibility within modified asphalt systems. In order to improve the compatibility of modified asphalt, this study integrates the concept of molecular weight gradient design, while considering a balance of performance. Composite modified asphalt samples were prepared using preferred Styrene-Butadiene-Styrene (SBS), Styrene-Butadiene Rubber (SBR), and Butyl Rubber (BR) for comprehensive assessments, including molecular weight distribution, conventional and rheological properties, thermal stability, microstructural morphology, and functional group transformations, and subsequently elucidate the underlying modification mechanisms. The results show that the molecular weight gradient-designed composite modified asphalt exhibits good performance and enhanced compatibility. On the one hand, the styrene and butadiene segments can improve the high and low-temperature performance of the asphalt, respectively. On the other hand, as the molecular weight within the system diminishes, the consistence and hardness of the asphalt decrease, the cross-linking network goes denser, improving compatibility and stability. Moreover, the addition of stabilizer can change the micro-cross-linking network structure and induce functional group transformations of the composite modified asphalt, which conforms to the characteristics of chemical modification.

Fewer studies related to the durability of multi-source solid waste geopolymer cementitious materials and the massive accumulation of industrial solid waste are urgent problems to be solved in practice in Inner Mongolia, China. In this paper, blast furnace slag (BFS), fly ash (FA), and calcium carbide slag (CCS) are used as the main raw materials to prepare geopolymer cementitious materials (BFCG) with Calcium Carbide Slag as the Ca-source alkali activator and NaOH as the Na-source alkali activator, considering their durability properties. By assessing the indicators of mechanical performance, engineering performance, and the synergistic mechanism of Ca2+ and Na+ in multi-source solid waste geopolymer, four sets of BFCG ratio optimization schemes are selected. XRD, FT-TR, SEM-EDS, and other testing methods are used to analyze its freeze–thaw resistance and acid–alkali-salt corrosion resistance. The following conclusions are drawn: the BFCG prepared under the synergistic excitation of Ca2+ and Na+ has better resistance to freezing and thawing, as well as acid-alkali-salt corrosion, both of which are in accordance with the standard specifications for road construction in China. After the freeze–thaw cycles, BFCG still has more three-dimensional network-like silica-aluminate structures, a compact micromorphology, and small pores. Its strength loss rate is 0.56 %–15.56 %, the mass loss rate is 0.19 %–1.26 %, and the relative dynamic modulus is 79.56 %–100.25 %. In a NaOH environment, the crystal type of BFCG did not change significantly, and the resistivity coefficients are 115.78 %–143.54 %. In a Na2SO4 environment, the decalcification or dealumination of C-A-S-H gel leads to the formation of a gel rich in silicon, magnesium, and aluminum phases, with a corrosion resistance coefficient of 101.8 %–119.96 %. In a HCl environment, HCl erosion inhibits the growth of hydration product crystals, with corrosion resistance coefficients ranging from 73.83 % to 97.24 %. BFCG-D has the best resistance to freezing and thawing as well as acid and alkali corrosion. BFCG-D has the best resistance to freezing and thawing as well as acid and alkali corrosion. These studies show that BFCG offers a promising solution for improving the durability of road base materials and reducing industrial solid waste.

With the increasing demand for electricity, predicting user electricity demand has become an essential task. The electricity demand characteristics of users in the electricity market are different, so it is necessary to classify and predict users. Aiming at the above problems, a classified forecasting model of electricity demand based on recent consumption, frequency, monetary (RFM), K-means, XGBoost and dynamic time warping (DTW) algorithm is proposed. The experiment showcases that among the electricity consumption of commercial users, the first type of load has the lowest proportion in autumn, at around 18.6 %; The second type of load has the highest proportion in autumn, about 81.3 %; Accurate classification has been made for the consuming quantity of electricity of commercial users. The average error in the forecasting results of the RFM-KM-XGboost model and the actual value of commercial electricity demand is about 0.07 kW; The average errors between the forecasting results of SVM model and RF model and the true values are about 0.2 kW and 0.14 kW, respectively; It indicates that the forecasting error of the RFM-KM-XGBoost model is smaller. The above results indicate that the RFM-KM-XGBoost model can extract users' electricity demand characteristics by classifying user types and load types, and make more accurate predictions of electricity demand for different types of users.

Summary: Background: Cancer cell plasticity is the ability of neoplastic cells to alter their identity and acquire new biological properties under microenvironmental pressures. In prostate cancer (PCa), lineage plasticity often results in therapy resistance and trans-differentiation to neuroendocrine (NE) lineage. However, identifying the cancer cells harboring lineage plasticity-related status remains challenging. Methods: Based on 13 multi-center human PCa bulk transcriptomic cohorts (samples = 3314) and 9 bulk transcriptomic datasets derived from PCa experimental models, we established an integrated lineage plasticity-related gene signature, termed LPSig. Leveraging this gene signature, AUCell enrichment analysis was applied to identify the cell population with high lineage plasticity from a comprehensive single-cell RNA-sequencing (scRNA-seq) meta-atlas assembled by us, which consisted of 10 public human PCa scRNA-seq datasets (samples = 93, cells = 222,529). Moreover, additional scRNA-seq dataset of human PCa, multiplex immunohistochemistry staining for human PCa tissues, in vitro and in vivo functional experiments, as well as qPCR and Western blot analyses were employed to validate our findings. Findings: We found that LPSig could finely capture the dynamics of tumor lineage plasticity throughout the progression of PCa, accurately estimating the status of lineage plasticity. Based on LPSig, we identified a previously undefined minority population of lineage plasticity-related PCa cells (LPCs) from the human PCa scRNA-seq meta-atlas assembled by this study. Furthermore, in-depth dissection revealed pivotal roles of LPCs in trans-differentiation, tumor recurrence, and poor patient survival during PCa progression. Furthermore, we identified HMMR as a representative cell surface marker for LPCs, which was validated using additional scRNA-seq datasets and multiplexed immunohistochemistry. Moreover, HMMR was transcriptionally inhibited by androgen receptor (AR), and was required for the aggressive adenocarcinoma features and NE phenotype. Interpretation: Our study uncovers a novel population of lineage plasticity-related cells with low AR activity, stemness-like traits, and elevated HMMR expression, that may facilitate poor prognosis in PCa. Funding: This work was supported by National Key R&D Program of China (2022YFA0807000), National Natural Science Foundation of China (82160584), Advanced Prostate Cancer Diagnosis and Treatment Technology Innovation Team of Kunming Medical University (CXTD202216), and Reserve Talents of Young and Middle-aged Academic Leaders in Yunnan Province (202105AC160013).

Background: In the past decade, we have continuously conducted sporadic monitoring and outbreak detection of norovirus (NoV), which causes human acute gastroenteritis (AGE) in the capital of China. Accumulated data have shown that genogroup I (GI) NoVs not only cause sporadic cases but also cannot be ignored during outbreaks. This study aimed to update the genetic diversity of GI NoVs in the capital of China from 2014 to 2023. Methods: Fecal or anal swab samples were collected from AGE outbreaks triggered by GI NoVs in Beijing Chaoyang District from 2014 to 2023. Both the partial coding genes of RNA-dependent RNA polymerase (RdRp) (∼283 bp) and viral protein 1 (VP1) (∼303 bp) were amplified via reverse transcription polymerase chain reaction (RT-PCR) and sequenced, followed by genotyping and phylogenetic analysis. Results: A total of 421 fecal or anal swab samples were collected from 59 AGE outbreaks caused by GI NoVs. Genetic diversity was observed, with nine genotypes reported, including recombinant strains of GI.6[P11] and GI.3[P13], as well as multiple subtypes that cocirculated. In addition, we also reported a shift in the dominant genotype, with GI.6 [P11] in 2015–2018, GI.3 [P13] in 2019–2021, and GI.4 [P4] in 2023. Furthermore, alterations in amino acids were indirectly indicated through single nucleotide polymorphisms (SNPs) in certain VP1 areas of strains GI.3[P13] and GI.6[P11]. Epidemiologically, the peak of infection induced by GI NoVs occurs from March to May. Conclusions: The sustained circulation and obvious genotype shift of GI NoVs in this region cannot be ignored, and GI.4[P4] NoVs are highly likely to become the main epidemic strain in the following years.

Zebrafish are an ideal model organism to study lipid metabolism and to elucidate the molecular underpinnings of human lipid-associated disorders. Unlike murine models, to which various standardized high lipid diets such as a high-cholesterol diet (HCD) are available, there has yet to be a uniformly adopted zebrafish HCD protocol. In this study, we have developed an improved HCD protocol and thoroughly tested its impact on zebrafish lipid deposition and lipoprotein regulation in a dose- and time-dependent manner. The diet stability, reproducibility, and fish palatability were also validated. Fish fed HCD developed hypercholesterolemia as indicated by significantly elevated ApoB-containing lipoproteins (ApoB-LPs) and increased plasma levels of cholesterol and cholesterol esters. Feeding of the HCD to larvae for 8 days produced hepatic steatosis that became more stable and sever after 1 day of fasting and was associated with an opaque liver phenotype (dark under transmitted light). Unlike larvae, adult fish fed HCD for 14 days followed by a 3-day fast did not develop a stable fatty liver phenotype, though the fish had higher ApoB-LP levels in plasma and an upregulated lipogenesis gene fasn in adipose tissue. In conclusion, our HCD zebrafish protocol represents an effective and reliable approach for studying the temporal characteristics of the physiological and biochemical responses to high levels of dietary cholesterol and provides insights into the mechanisms that may underlie fatty liver disease.

Micro- and nanoplastics have emerged as pervasive environmental pollutants with potential ecotoxicological impacts on various organisms, including the model organism Drosophila melanogaster. Here we comprehensively synthesize current research on the adverse effects of micro- and nanoplastics on Drosophila, highlighting key findings and identifying gaps in the literature. Micro- and nanoplastics can lead to physical damage, oxidative stress, inflammation, genotoxicity, epigenetic changes, apoptosis, and necrosis in Drosophila. Exposure to plastic debris affects nutrient absorption, energy metabolism, and reproductive health, often in a sex-specific manner. For instance, male flies are generally more susceptible to the toxic effects of polystyrene microplastics than female flies, showing greater mortality and metabolic disruptions. Furthermore, the combined exposure of plastics with heavy metals can exacerbate toxic effects, leading to enhanced oxidative stress, genotoxicity, and gut damage. While antagonistic effects have been identified particularly with silver compounds, where polystyrene microplastics reduce the bioavailability and toxicity of silver. The adverse effects of plastic particles on Drosophila depend on size, with smaller particles penetrating deeper into tissues and eliciting stronger toxic responses. The chemical composition of the plastics and the presence of additives also play crucial roles in determining toxicity levels. Chronic exposure to low levels can be as harmful as acute high-dose exposure, highlighting the need for comprehensive, long-term studies to fully understand the ecological and biological impacts of plastic pollution.

Background: The neoantigen vaccine has remarkable potential in treating advanced cancer due to its tumor specificity and ability to bypass central tolerance mechanisms. However, numerous neoantigens show poor immunogenicity, and the immune inhibitory factors of present in both tumors and tumor-draining lymph nodes impair the efficacy of cancer neoantigen vaccine. Eliminating immunosuppressive cells will improve the priming and expansion of anti-tumor immune cells induced by the vaccine. Methods: In this study, a Treg-depleting regimen (consisting of CD25mAb and low-dose cyclophosphamide (LD-CTX)) was used in conjunction with a neoantigen vaccine for treating mice with solid tumors. We constructed two types of tumor models and investigated differences in therapy efficacy in the four groups (PBS, vaccine, CD25mAb+CTX and combination) at the genetic and protein levels. ELISPOT and TCR sequencing were applied to detect the expansion of neoantigen reactive T cells (NRT) and tumor antigen spreading. Results: In the combinational group, the ELISPOT results showed an obvious expansion of NRT cells induced by weak immunogenic peptides. The combinational group exhibited significant improvement in inhibiting the tumor growth extended the survival time of tumor-bearing mice, and promoted T cells infiltration into tumors. Besides, compared to the Vac group, more neoantigen-targeted and TAA-targeted T cells were detected in the combinational group by TCR sequencing. The results of transcriptomic sequencing and flow cytometry showed that the number of Tregs in the combinational group was lower, while the proportions of memory effector T cells and effector T cells were higher than those in the vaccine group. An increase in mature DCs was also observed in vaccinated mice after receiving this Treg-depleting strategy. Conclusion: Our research first revealed that inhibiting the normal function of Tregs transformed “weaker” neoantigens into “stronger” ones, while also contributing to the proliferation of NRT cells. This Treg-depleting strategy allowed neoantigens with poor immunogenicity to elicit a robust immune response, thereby augmenting the efficacy of the neoantigen vaccine in delaying tumor growth and prolonging the survival of the hosts.

The impact of riverbank erosion poses serious threat to the environment, socio-economics and human safety. Due to the extremely complex mechanisms of erosion, assessing the risk of riverbank erosion is challenging. To address this, we propose an interpretable intelligent model framework to accurately assess large-scale riverbank erosion risk. Firstly, we constructed a multi-source dataset that encompasses 29 riverbank erosion influencing factors. Subsequently, by employing an adaptive feature weighting method, a comprehensive water level factor was synthesized, unifying data dimensions. The Relief algorithm was used to identify influential features for riverbank erosion, and an adaptive feature weighting SMOTE (AFW-SMOTE) algorithm was developed to balance the riverbank erosion dataset. Additionally, an ELM and BiGRU autoencoder was designed to effectively capture and learn key information from static and dynamic features. Finally, the outputs of the two autoencoders were integrated using the XGBoost algorithm to produce riverbank erosion risk assessment results, and the risks were visualized. This model not only performs excellently across multiple evaluation metrics but also significantly surpasses 22 other machine learning models. By integrating the Shapley value method, it enhances the model’s interpretability. This provides policymakers and relevant environmental management agencies with a powerful tool to scientifically assess and manage the risk of riverbank erosion.

Background: Previous studies have demonstrated that immune cells release exosomes, which act as antigen-presenting vesicles to activate T cells. In our previous study, we discovered that podocytes, a type of kidney cell, can also exhibit antigen-presenting functions to naïve CD4+ T cells in idiopathic nephrotic syndrome (INS). Building upon these findings, the objective of this study was to investigate whether podocytes can regulate the balance between Th17 and Treg cells through the release of exosomes. Methods: We co-cultured naïve CD4+ T cells with LPS-treated bone marrow dendritic cells (LPS-BMDC), LPS-treated mouse podocyte clone 5 (LPS-MPC-5), and exosomes derived from LPS-MPC-5 (LPS-EXO). As a control group, naïve CD4+ T cells were cultured with exosomes from untreated MPC-5 (EXO). After 48 h, we analyzed the percentages of Th17 and Treg cells using flow cytometry, measured the concentrations of IL-17A, IL-10, and IL-4 were using ELISA, and examined the expressions of IL-17a, IL-10, RORC, and FOXP3 using RT-qPCR. Results: We confirmed the presence of exosomes derived from podocytes based on their morphology, size distribution, concentrations, and the levels of exosomes-specific markers. The percentage of Th17 and Treg cells in the LPS-EXO group was significantly higher than that in the control groups, but lower than in the LPS-MPC-5 group. Furthermore, the ratio of Th17/Treg was relatively higher in the LPS-EXO group compared to the LPS-MPC-5 group. Conclusion: This study indicated further insights into the role of exosomes released from LPS-treated podocytes in regulating the balance between Th17 and Treg cells in INS.

In practical building construction, simply judging the insulating performance of the material by its thermal conductivity is not fully comprehensive. Therefore, the study used the “four identical tests” to compare the effects of insulation materials on energy consumption and indoor comfort in actual buildings. New field-cast foamed cement and extruded polystyrene plate insulation materials with lower thermal conductivity are used in Test Houses 1 and 2. The test houses' indoor temperature and energy consumption were monitored. Comparison of two Test Houses shows that, during the heating shutdown, Test House 2 daily temperature dropped 0.5 °C more than Test House 1. Conversely, Test House 2 exhibits a 5.97 % higher temperature fluctuation during heating than Test House 1. Under normal and heating conditions, Test House 2 consumes 2.2 kW h and 1.6 kW h less energy on average than Test House 1, with energy fluctuation rates 13.54 % and 9.33 % higher, respectively. Although the energy consumption of Test House 1 experimental room using the new type of field-cast foamed cement is slightly higher, it exhibits better temperature stability during the heating period, significantly improving indoor comfort. Moreover, it demonstrates good energy-saving potential and durability, making it a better choice for building insulation.

High-intensity land development has led to numerous ecological problems, severely threatening regional sustainable development. Resilience is key to maintaining regional sustainable development. This study focuses on the Taohe River Basin and constructs an ecological resilience evaluation model based on the framework of ecosystem adaptability, ecosystem resistance, and ecosystem recovery from the perspective of resilient ecosystem functions. Using software such as InVEST and Fragstats, the study assesses the spatiotemporal changes in ecological resilience in the Taohe River Basin. Based on the ecological resilience pattern, ecological sources were identified, resistance surfaces were constructed, and ecological corridors were extracted, thereby establishing an ecological resilience security pattern for the Taohe River Basin. During the study period, the level of ecological resilience in the Taohe River Basin showed a gradual upward trend. A total of 33 ecological source areas were identified, accounting for 27.57 % of the total area of the Taohe River Basin. Seventy ecological corridors were identified, with a total length of 6478.63 km and an average length of 92.55 km. Combining the topography, ecological background conditions, and current urban development status of the Taohe River Basin, an ecological security pattern of “two screens, two corridors, five areas, and multiple points” was constructed, along with corresponding optimization suggestions. The research results are of great significance for optimizing spatial layout, maintaining regional ecological security, and promoting regional integrated development. Additionally, they provide new ideas for assessing regional ecological resilience.

This paper presents an innovative fusion model called “CALSE-LSTM,” which integrates Convolutional Neural Networks (CNNs), Long Short-Term Memory Networks (LSTMs), self-attention mechanisms, and squeeze-and-excitation attention mechanisms to optimize the estimation accuracy of the State of Charge (SoC). The model incorporates battery historical data as input and employs a dual-attention mechanism based on CNN-LSTM to extract diverse features from the input data, thereby enhancing the model's ability to learn hidden information. To further improve model performance, we fine-tune the model parameters using the Pelican algorithm. Experiments conducted under Urban Dynamometer Driving Schedule (UDDS) conditions show that the CALSE-LSTM model achieves a Root Mean Squared Error (RMSE) of only 1.73 % in lithium battery SoC estimation, significantly better than GRU, LSTM, and CNN-LSTM models, reducing errors by 31.9 %, 31.3 %, and 15 %, respectively. Ablation experiments further confirm the effectiveness of the dual-attention mechanism and its potential to improve SoC estimation performance. Additionally, we validate the learning efficiency of CALSE-LSTM by comparing model training time with the number of iterations. Finally, in the comparative experiment with the Kalman filtering method, the model in this paper significantly improved its performance by incorporating power consumption as an additional feature input. This further verifies the accuracy of CALSE-LSTM in estimating the State of Charge (SoC) of lithium batteries.

Cadmium (Cd) contamination in rice has been a serious threat to human health. To investigate the effects of arbuscular mycorrhizal fungi (AMF) on the Cd translocation in rice, a controlled pot experiment was conducted. The results indicated that AMF significantly increased rice biomass, with an increase of up to 40.0%, particularly in root biomass by up to 68.4%. Notably, the number of prominent rice individuals also increased, and their plasticity was enhanced following AMF inoculation. AMF led to an increase in the net photosynthetic rate and antioxidant enzyme activity of rice. In the AMF treatment group, the Cd concentration in the rice roots was significantly higher (19.1%‒68.0%) compared with that in the control group. Conversely, the Cd concentration in the rice seeds was lower in the AMF treatment group, indicating that AMF facilitated the sequestration of Cd in rice roots and reduced Cd accumulation in the seeds. Path coefficients varied across different treatments, suggesting that AMF inoculation reduced the direct impact of soil Cd concentration on the total Cd accumulation in seeds. The translocation of Cd was consistently associated with simultaneous growth dilution and compensatory accumulation as a result of mycorrhizal effects. Our study quantitatively analyzed this process through path analysis and clarified the causal relationship between rice growth and Cd transfer under the influence of AMF.

Blue energy, which includes rainfall, tidal current, wave, and water-flow energy, is a promising renewable resource, although its exploitation is limited by current technologies and thus remains low. This form of energy is mainly harvested by electromagnetic generators (EMGs), which generate electricity via Lorenz force-driven electron flows. Triboelectric nanogenerators (TENGs) and TENG networks exhibit superiority over EMGs in low-frequency and high-entropy energy harvesting as a new approach for blue energy harvesting. A TENG produces electrical outputs by adopting the mechanism of Maxwell’s displacement current. To date, a series of research efforts have been made to optimize the structure and performance of TENGs for effective blue energy harvesting and marine environmental applications. Despite the great progress that has been achieved in the use of TENGs in this context so far, continuous exploration is required in energy conversion, device durability, power management, and environmental applications. This review reports on advances in TENGs for blue energy harvesting and marine environmental monitoring. It introduces the theoretical foundations of TENGs and discusses advanced TENG prototypes for blue energy harvesting, including TENG structures that function in freestanding and contact-separation modes. Performance enhancement strategies for TENGs intended for blue energy harvesting are also summarized. Finally, marine environmental applications of TENGs based on blue energy harvesting are discussed.

Intraoperative remifentanil administration has been linked to increased postoperative pain sensitivity. Recent studies have identified the involvement of euchromatic histone-lysine N-methyltransferase 2 (Ehmt2/G9a) in neuropathic pain associated with the transcriptional silencing of many potassium ion channel genes. This study investigates whether G9a regulates the potassium sodium-activated channel subfamily T member 1 (Slo2.2) in remifentanil-induced post-incisional hyperalgesia (RIH) in rodents. We performed remifentanil infusion (1 μg·kg-1·min-1 for 60 min) followed by plantar incision to induce RIH in rodents. Our results showed that RIH was accompanied by increased G9a and H3K9me2 production and decreased Slo2.2 expression 48 h postoperatively. Deletion of G9a rescued Slo2.2 expression in DRG and reduced RIH intensity. Slo2.2 overexpression also reversed this hyperalgesia phenotype. G9a overexpression decreased Slo2.2-mediated leak current and increased excitability in the small-diameter DRG neurons and laminal II small-diameter neurons in the spinal dorsal horn, which was implicated in peripheral and central sensitization. These results suggest that G9a contributes to the development of RIH by epigenetically silencing Slo2.2 in DRG neurons, leading to decreased central sensitization in the spinal cord. The findings may have implications for the development of novel therapeutic targets for the treatment of postoperative pain.

The oxidative damage induced by oxidized low-density lipoprotein (ox-LDL) plays a pivotal role in the development of atherosclerosis. In this study, we investigated the protective effects of quercetin, a plant-derived flavonoid, against ox-LDL-induced damage in human umbilical vein endothelial cells (HUVECs) by mitigating oxidative stress. Our findings demonstrate that quercetin substantially enhances cell viability by attenuating oxidative stress induced by ox-LDL (the cell viability increased from 48 % to 89 %). Notably, this process is intricately regulated by the MALAT1/miR-494–3p/PTEN axis. In HUVECs exposed to ox-LDL, interventions such as knocking down MALAT1 or overexpressing miR-494–3p result in increased cell viability and reduced accumulation of reactive oxygen species (ROS), akin to the protective effect observed with quercetin pretreatment. Through further exploration using molecular biological technique, MALAT1 was confirmed to interact with miR-494–3p and serve as a competing endogenous RNA (ceRNA). These results, for the first time, underscore the involvement of the MALAT1/miR-494–3p/PTEN axis in quercetin's protective action against ox-LDL-induced oxidative stress. Our research provides compelling evidence supporting quercetin as a potential candidate for anti-atherosclerotic therapy. Furthermore, it offers fresh insights into the pathogenesis of atherosclerosis and potential strategies for intervention in this condition.

Purpose: To report the application of a refined total capsular bag suspension technique for lens subluxation from Cystathionine beta-synthase (CBS) deficiency. Observations: A 15-year-old CBS deficiency male patient with a history of intracranial venous thrombosis presented to our clinic due to bilateral vision loss. The patient was treated with lens aspiration, intraocular lens (IOL) implantation, and total capsular bag suspension in both eyes respectively. During the six months postoperative follow-up, the patient exhibited improved visual acuity and minor refractive error. Conclusions and importance: The refined total capsular bag suspension technique is recommended for CBS deficiency patients with lens subluxation as a safe and effective surgical approach.

Background: Although both anemia and schizophrenia (SCZ) can cause cognitive decline, it is unclear whether anemia worsens cognitive decline in patients with SCZ. The primary objective of this study was to investigate the prevalence of anemia and the relationship between anemia, SCZ symptom severity, and cognitive function in patients with SCZ. Methods: We obtained demographic and clinical data from 1690 inpatients with SCZ. All psychiatric symptoms and cognitive functioning were assessed by the Positive and Negative Syndrome Scale (PANSS), the Mini-Mental State Examination (MMSE), and the Repeated Battery for the Assessment of Neuropsychological Status (RBANS). Hemoglobin (HGB) values as well as red blood cell (RBC) counts were collected by routine blood tests. Results: The proportion of anemia in patients with SCZ was 26.36 % (383/1453). Compared to SCZ patients without anemia, SCZ patients with anemia were older, had a lower bodyweight, a smaller waist circumference and lower apolipoprotein B levels, but longer QT intervals. Further logistic regression analysis revealed that anemia was associated with age, gender, and weight. In addition, there was no difference in cognitive function between SCZ patients with and without anemia. Conclusion: Our findings suggest a high proportion of anemia in patients with chronic SCZ in the Han Chinese population. Several demographic and clinical variables are associated with anemia in SCZ patients.

Moso bamboo (Phyllostachys heterocycla (Carriere) Matsum.), a member of the bamboo subfamily within the Gramineae family, is a globally significant economic forest resource, notable for its swift growth. JAZ proteins, crucial in the jasmonic acid signaling pathway, play essential roles in plant growth, development, and responses to various biotic and abiotic stresses. This study identifies 22 JAZ genes in moso bamboo using bioinformatics. We conducted a comprehensive analysis of their physicochemical properties, gene structure, chromosomal localization, conserved structural domains and motifs, cis-acting regulatory elements, and evolutionary relationships. Furthermore, by mining transcriptome data, we delineated the expression patterns of the JAZ gene family during the rapid shoot development phase in moso bamboo. This analysis suggests a significant role for the JAZ genes in the growth and development of moso bamboo. Additionally, we predicted transcription factors that regulate JAZ and analyzed protein interactions to construct an initial JAZ-related regulatory network. This study provides a crucial foundation for understanding the functions of the JAZ gene family and elucidating the molecular mechanisms underpinning the rapid shoot development in moso bamboo.

N-(1,3-dimethylbutyl)-N'-phenyl-p-phenylenediamine (6PPD) is commonly used in rubber compounds as antioxidants to protect against degradation from heat, oxygen, and ozone exposure. This practice extends the lifespan of rubber products, including tires, by preventing cracking, aging, and deterioration. However, the environmental consequences of waste generated during rubber product use, particularly the formation of 6PPD-quinone (6PPD-Q) through the reaction of 6PPD with ozone, have raised significant concerns due to their detrimental effects on ecosystems. Extensive research has revealed the widespread occurrence of 6PPD and its derivate 6PPD-Q in various environmental compartments, including air, water, and soil. The emerging substance of 6PPD-Q has been shown to pose acute mortality and long-term hazards to aquatic and terrestrial organisms at concentrations below environmentally relevant levels. Studies have demonstrated toxic effects of 6PPD-Q on a range of organisms, including zebrafish, nematodes, and mammals. These effects include neurobehavioral changes, reproductive dysfunction, and digestive damage through various exposure pathways. Mechanistic insights suggest that mitochondrial stress, DNA adduct formation, and disruption of lipid metabolism contribute to the toxicity induced by 6PPD-Q. Recent findings of 6PPD-Q in human samples, such as blood, urine, and cerebrospinal fluid, underscore the importance of further research on the public health and toxicological implications of these compounds. The distribution, fate, biological effects, and underlying mechanisms of 6PPD-Q in the environment highlight the urgent need for additional research to understand and address the environmental and health impacts of these compounds.

Summary: We evaluated the diagnostic performance of a multimodal deep-learning (DL) model for ovarian mass differential diagnosis. This single-center retrospective study included 1,054 ultrasound (US)-detected ovarian tumors (699 benign and 355 malignant). Patients were randomly divided into training (n = 675), validation (n = 169), and testing (n = 210) sets. The model was developed using ResNet-50. Three DL-based models were proposed for benign-malignant classification of these lesions: single-modality model that only utilized US images; dual-modality model that used US images and menopausal status as inputs; and multi-modality model that integrated US images, menopausal status, and serum indicators. After 5-fold cross-validation, 210 lesions were tested. We evaluated the three models using the area under the curve (AUC), accuracy, sensitivity, and specificity. The multimodal model outperformed the single- and dual-modality models with 93.80% accuracy and 0.983 AUC. The Multimodal ResNet-50 DL model outperformed the single- and dual-modality models in identifying benign and malignant ovarian tumors.

Reactive Oxygen Species (ROS) refers to a highly reactive class of oxidizing species that have the potential to induce cellular apoptosis and necrosis. Cuproptosis, a type of cell death, is primarily associated with the effects of copper ions. However, the specific relationship between ROS, cuproptosis, and osteosarcoma (OS) remains relatively unexplored. Additionally, there is limited research on the use of cuproptosis in conjunction with oxidative stress for treating OS and inhibiting tumor-induced bone destruction. To address these gaps, a novel treatment approach has been developed for OS and neoplastic bone destruction. This approach involves the utilization of glutathione (GSH) and pH-responsive organic-inorganic mesoporous silica nanoparticles@Cu2S@oxidized Dextran (short for MCD). The MCD material demonstrates excellent cytocompatibility, osteogenesis, tumor suppression, and the ability to inhibit osteoclast formation. The specific mechanism of action involves the mitochondria of the MCD material inhibiting key proteins in the tricarboxylic acid (TCA) cycle. Simultaneously, the generation of ROS promotes this inhibition and leads to alterations in cellular energy metabolism. Moreover, the MCD biomaterial exhibits promising mild-temperature photothermal therapy in the second near-infrared (NIR-II) range, effectively mitigating tumor growth and OS-induced bone destruction in vivo.

Due to climate change, extreme heat stress events have become more frequent, adversely affecting rice yield and grain quality. The accumulation and translocation of dry matter and nitrogen substances are essential for rice yield and grain quality. To assess the impact of high temperature stress (HTS) at the early panicle initiation (EPI) stage on the accumulation, transportation, and distribution of dry matter and nitrogen substances in various organs of rice, as well as the resulting effects on rice yield and grain quality, pot experiments were conducted using an indica rice cultivar Yangdao 6 (YD6) and a japonica rice cultivar Jinxiangyu 1 (JXY1) under both normal temperature (32 ºC / 26 ºC) and high temperature (38 ºC / 29 ºC) conditions. The results indicated that exposure to HTS at the EPI stage significantly decreased rice yield by reducing spikelet number per panicle, grain-filling rate, and grain weight. However, it improved the nutritional quality of rice grains by increasing protein and amylose contents. The reduction in nitrogen and dry matter accumulation accounted for the changes in spikelet number per panicle, grain-filling rate, and grain size. Under HTS, the decrease in nitrogen accumulation accompanied by the reduction in dry matter may be due to the down-regulation of leaf net photosynthesis and senescence, as evidenced by the decrease in nitrogen content. Furthermore, the decrease in sink size limited the translocation of dry matter and nitrogen substances to grains, which was closely related to the reduction in grain weight and the deterioration of grain quality. These findings significantly contribute to our understanding of the mechanisms of HTS on grain yield and quality formation from the perspective of dry matter and nitrogen accumulation and translocation. Further efforts are needed to improve the adaptability of rice varieties to climate change in the near future.

To solve the problem that the intelligent meter box may collide in the transportation workflow, the paper studies the collision detection of the cooperative robot. Firstly, the architecture and mechanical structure of the collaborative robot intelligent meter box push–pull system is analyzed. Secondly, using the relationship between joint torque and selection LuGre model of joint friction modeling. The second-order external moment observer is constructed based on the robot’s dynamics and generalized momentum equation. Furthermore, the performance of the external moment observer is optimized, and the real-time performance and anti-interference ability of the collision detection algorithm is improved by introducing PD control and speed feedback control. Finally, the results of the designed experiments reveal that the collision detection functions are better realized using the generalized momentum observer method.

For mobile robots working in the power inspection environment, navigation algorithms and collaborative path planning are the keys to understanding and reproducing human power inspection’s thinking mode. Firstly, the paper proposed a hybrid navigation algorithm of reflector and laser based on the generalized inverse of the least squares solution. Secondly, to solve the problem of multi-robot inspection cooperative path planning, the traffic rule reservation table generated a dynamic weighted map representing traffic congestion in power inspection to prevent multi-robot collision. Thirdly, through the distributed control method, the robot used the dynamic weighted map to improve the RRT (Rapidly-Exploring Random Trees)algorithm to achieve the purpose of active cooperative path planning, reducing the trajectory’s critical path points and solving the cooperative congestion. Finally, the positioning and calibration compensation can be carried out through the experiment by the reflector navigation algorithm in a large-scale complex environment. Comparing the path planning methods of the A* algorithm and the dynamic weighted RRT algorithm, the dynamic weighted RRT algorithm reduces the number of extended nodes. It solves the multi-robot planning collision problem while ensuring the search path’s completeness. Meanwhile, the dynamic weighted RRT algorithm can save the running time of the multi-robot system and effectively improve the efficiency of the power inspection system.

Objective: Intraventricular hemorrhage (IVH) causes morbidity and mortality in preterm infants and prenatal exposure to inflammation contributes to brain injury. Moreover, prenatal exposure to severe inflammation increases the risk of IVH in preterm neonates. The current study investigated whether intrauterine exposure to inflammation affects cerebral angiogenesis and its underlying mechanisms. Methods: Wnt5a, flt1, and vascular endothelial growth factor (VEGF)-A levels in cord blood serum (stored in a bio-bank) of the enrolled patients were measured via enzyme-linked immunosorbent assay. A preterm prenatal inflammation exposure model was established in rats by intraperitoneal injection intraperitoneally during pregnancy. Angiogenesis of cerebral tissue was analyzed using immunohistochemistry. Wnt5a, flt1, and VEGF-A expression levels were measured via immunohistochemistry, immunofluorescence, or western blotting. The correlation between Wnt5a and flt1 expression and the cerebral vessel area was also analyzed. Results: The Wnt5a and flt1 levels in the cord blood serum were significantly higher in the amnionitis group than in the non-amnionitis group. The VEGF-A level in the cord blood serum was significantly lower in the amnionitis group. In the rat model, preterm rats in the prenatal inflammation group exhibited increased microglial cell infiltration and decreased vessel area and diameter in the cerebral tissue compared to the control group. Wnt5a was located in microglial cells, and Wnt5a and flt1 expression in brain tissue significantly increased after prenatal lipopolysaccharide (LPS) exposure. VEGF-A expression declined after prenatal LPS exposure. The cerebral vessel area was negatively correlated with Wnt5a and flt1 expression. Conclusion: Disordered cerebral angiogenesis is associated with increased Wnt5a-Flt1 activation in microglial cells after exposure to intrauterine inflammation.

Objectives: To investigate the challenges of patients with spinal muscular atrophy (SMA) during the Omicron variant COVID-19 pandemic. Design: A cross-sectional survey was conducted in China from January 02, 2023, to January 12, 2023, using a questionnaire that covered three aspects: (1) Demographic information; (2) SMA-related information; and (3) COVID-19-related information. We recruited patients with SMA from 33 provinces. The prevalence, course, and clinical manifestations of COVID-19 were calculated. The relationships between independent and outcome variables were investigated. Results: In total, 677 patients (male: 349; female: 328) were included in this study (average age = 11.40 years); 534 (78.88%) suffered from COVID-19. The most common symptoms were fever (95.51%), cough (57.87%), and sputum (49.44%). Of the infected patients, 91.57% recovered with at-home care, and 8.43% were hospitalized; 1.31% were admitted to the intensive care unit (ICU). A positive correlation was observed between the SMA severity and hospitalization rate. The ICU stay rate in patients with SMA type I was significantly higher than that in other SMA types. Conclusion: This is the first large sample survey to timely reveal the living situation of patients with SMA during the COVID-19 pandemic's Omicron variant. Patients with SMA type I should be paid more attention in terms of hospitalization and ICU stay.