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Abstract Background Hypoxic-ischemic encephalopathy (HIE) is a major cause of neonatal disability and mortality. Although intensive studies and therapeutic approaches, there are limited restorative treatments till now. Human embryonic stem cell (hESCs)-derived cortical neural progenitors have shown great potentials in ischemic stroke in adult brain. However, it is unclear whether they are feasible for cortical reconstruction in immature brain with hypoxic-ischemic encephalopathy. Methods By using embryonic body (EB) neural differentiation method combined with DAPT pre-treatment and quantitative cell transplantation, human cortical neuroblasts were obtained and transplanted into the cortex of hypoxic-ischemic injured brain with different dosages 2 weeks after surgery. Then, immunostaining, whole-cell patch clamp recordings and behavioral testing were applied to explore the graft survival and proliferation, fate commitment of cortical neuroblasts in vitro, neural circuit reconstruction and the therapeutic effects of cortical neuroblasts in HIE brain. Results Transplantation of human cortical neural progenitor cells (hCNPs) in HIE-injured cortex exhibited long-term graft overgrowth. DAPT pre-treatment successfully synchronized hCNPs from different developmental stages (day 17, day 21, day 28) to deep layer cortical neuroblasts which survived well in HIE injured brain and greatly prevented graft overgrowth after transplantation. Importantly, the cortical neuroblasts primarily differentiated into deep-layer cortical neurons and extended long axons to their projection targets, such as the cortex, striatum, thalamus, and internal capsule in both ipsilateral and contralateral HIE-injured brain. The transplanted cortical neurons established synapses with host cortical neurons and exhibited spontaneous excitatory or inhibitory post-synaptic currents (sEPSCs or sIPSCs) five months post-transplantation. Rotarod and open field tests showed greatly improved animal behavior by intra-cortex transplantation of deep layer cortical neuroblasts in HIE injured brain. Conclusions Transplanted hESCs derived cortical neuroblasts survive, project to endogenous targets, and integrate into host cortical neural circuits to rescue animal behavior in the HIE-injured brain without graft overgrowth, providing a novel and safe cell replacement strategy for the future treatment of HIE.

As a reactor which can reusing low-abundance 235U resources, fast reactor construction is an important part of China’s three-step nuclear energy process. Due to high burnup and strong irradiation of the spent fuel oxides of fast reactor, the dry reprocessing method based on molten salt electrolytic refining has unique advantages such as the ability to handle the widest range of fuel types and higher stability of the reaction system. Before the electrolytic refining step, the oxide spent fuel needs to be reduced to metal through electrical or thermal reduction. Thermal reduction requires the use of calcium, lithium, and magnesium as reducing agents. Compared with other alkali metal reduction process, lithium reduction process at high temperature has the advantages of simple recovery process, moderate temperature and lower equipment requirements, it may become the future tendency of thermal reduction. In this paper, the research progress of lithium high-temperature chemical reduction of spent fuel in dry reprocessing and compared the characteristics of lithium thermal reduction processes in various countries was investigated. The mechanism of high-temperature reduction with lithium was deduced based on thermodynamic calculation, and the influencing factors of reaction were discussed from the perspective of kinetics. Finally, the relevant research on the electrolytic recovery of residual salt from thermal reduction was described. The different reaction routes and technological process of lithium thermal reduction were summarized. The shortcomings of existing research were summarized, and the trend of lithium thermal reduction in the future was prospected. It gave a reference for the research of the process flow in China’s dry reprocessing.

Abstract Ratoon rice is considered an eco-friendly and resource-efficient method for rice cultivation, providing innovative strategies to mitigate the global food crisis. To clarify the critical yield components for achieving high annual grain yield in ratoon rice, data from 136 widely cultivated rice cultivars were collected through a six-year field experiment. The study analyzed the correlations between yield components and yields for both the main season and the ratoon season, indicating that main yields vary between 5.9 and 10.9 Mg ha−1, exhibiting a highly significant positive correlation with spikelets per panicle; ratoon yields range from 1.8 to 7.1 Mg ha−1, showing a highly significant positive correlation with panicles per m2, grain filling rate, and 1000-grain weight. Path analysis reveals that, in terms of contributing to ratoon yield, the grain filling rate is the most influential component, followed by panicles per m2, and 1000-grain weight. Therefore, by selecting large-panicle cultivars in the main season and enhancing panicles per m2, grain filling rate, and grain weight in the ratoon season, high annual yield in ratoon rice can be realized.

Abstract The reentrancy vulnerability in smart contracts has caused significant losses in the digital currency economy. Existing solutions for detecting and repairing this vulnerability are limited in scope and lack a comprehensive framework. Additionally, there is currently a lack of guidance methods for effectively pinpointing the location of vulnerabilities. The proposed bytecode‐level method addresses these challenges by incorporating a detection module, an auxiliary localization module, and a repair module. An opcode classification method is introduced using vulnerability features and a BiLSTM‐Attention‐based sequence model to enhance detection accuracy. To overcome difficulties in vulnerability localization, an auxiliary localization method based on data flow and control flow analysis is proposed, enabling developers to better locate vulnerabilities. Current reentrancy vulnerability repair methods are analyzed and strategies for three reachable patterns are proposed. The bytecode rewriting strategy utilizes Trampoline technology for repair, while a fuel optimization method reduces bytecode generation length to optimize gas costs. Through extensive experimental validation, the effectiveness and superiority of the proposed methods are confirmed, further validating the feasibility of the entire framework. Experimental results demonstrate that the framework offers enhanced protection against reentrancy vulnerability attacks in smart contracts.

Abstract Objective Obesity is a common feature in women with polycystic ovary syndrome (PCOS) and potentially significantly influences reproductive function. However, opinions are divided as to which factor is a more appropriate obesity predictor of reproductive outcomes. The aim of this study was to investigate the discriminatory capability of anthropometric measures in predicting reproductive outcomes in Chinese women with PCOS. Methods A total of 998 women with PCOS from PCOSAct were included. Logistic regression models were used to compute the odds ratios (ORs) and 95% confidence interval (95% CIs) to assess the effect of anthropometric measures, including body mass index (BMI), waist circumference (WC), hip circumference (HC), the waist‒hip ratio (WHR) and the waist‒height ratio (WHtR), on reproductive outcomes. The discrimination abilities of the models were assessed and compared based on the area under the receiver operating characteristic curve (AUC), Akaike’s information criterion (AIC) and integrated discrimination improvement (IDI). Results Among PCOS women, there was a graded association between anthropometric measures and predicted reproductive outcomes across quintiles of anthropometric measures, including a linear association among WHR, BMI and reproductive outcomes and among waist circumference, WHtR and live birth, pregnancy, and ovulation. However, only a linear association was noted between the hip and ovulation. C-statistic comparisons and IDI analyses revealed a trend towards a significant superiority of BMI for ovulation and WHR for live birth, pregnancy and conception in the models. Combining obesity variables improved discrimination in the multivariable models for reproductive outcomes. Conclusions Our findings support that BMI is a better predictor of ovulation and that the WHR is a better predictor of live birth, pregnancy and conception, whereas the combination of obesity variables contributes to the discrimination of reproduction.

Background: High blood pressure (BP) is a major contributor to mortality and cardiovascular diseases. Despite the known benefits of exercise for reducing BP, it is crucial to identify the most effective physical activity (PA) intervention. This systematic review and network meta-analysis (NMA) aimed to evaluate the available evidence on the effectiveness of various PA interventions for reducing BP and to determine their hierarchy based on their impact on BP. Methods: A search of PubMed, SPORTDiscus, PsycINFO, Web of Science, CINAHL, Cochrane, and Eric databases was conducted up to December 2022 for this systematic review and NMA. Randomized controlled trials and quasi-experimental studies targeting healthy children and adolescents aged 6–12 years old were included in this study. Only studies that compared controlled and intervention groups using PA or exercise as the major influence were included. We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Three independent investigators performed the literature screening, data extraction, and risk of bias assessment. We used Bayesian arm-based NMA to synthesize the data. The primary outcomes were systolic BP and diastolic BP. We calculated the mean differences (MDs) in systolic BP and diastolic BP before and after treatment. Mean treatment differences were estimated using NMA and random-effect models. Results: We synthesized 27 studies involving 15,220 children and adolescents. PA combined with nutrition and behavior change was the most effective intervention for reducing both systolic BP and diastolic BP (MD = –8.64, 95% credible interval (95%CI):–11.44 to –5.84; MD = –6.75, 95%CI: –10.44 to –3.11), followed by interventions with multiple components (MD = –1.39, 95%CI: –1.94 to –0.84; MD = –2.54, 95%CI: –4.89 to –0.29). Conclusion: Our findings suggest that PA interventions incorporating nutrition and behavior change, followed by interventions with multiple components, are most effective for reducing both systolic BP and diastolic BP in children and adolescents.

Abstract The analysis of the differences in metabolic profiles between naturally Ophiocordyceps sinensis (NO) and cultivated Ophiocordyceps sinensis (CO) is an essential process for the medicinal value mining of Ophiocordyceps sinensis. Non-targeted metabolomics was used to compare the differences in metabolite composition and abundance between NO and CO. Total metabolite composition found that NO is rich in organic acids and derivatives, and CO is rich in lipids and lipid-like molecules. HCA found that organooxygen compounds, cinchona alkaloid, and fatty acyls had different abundances in NO and CO. The variable importance in projection value and quantitative analysis of metabolites found that NO was rich in l-iditol, malate, linoleic acid, and oleic acid; CO is rich in sucrose, perseitol, hydroquinidine, nonanoic acid, 1-hydroxy-2-naphthoic acid, hymol-β-d-glucoside, and gly-his-lys. these compounds have the potential to be biomarkers of NO and CO. KEGG enrichment analysis showed that ascorbate and aldarate metabolism, carbon metabolism, pyrimidine metabolism, and fatty acid biosynthesis were the most different metabolic pathways between NO and CO. Therefore, the analysis of the characteristics of NO and CO metabolites has reference value for finding their different medicinal functions.

Abstract Background The occurrence of blastocyst collapse may become an indicator of preimplantation embryo quality assessment. It has been reported that collapsing blastocysts can lead to higher rates of aneuploidy and poorer clinical outcomes, but more large-scale studies are needed to explore this relationship. This study explored the characteristics of blastocyst collapse identified and quantified by artificial intelligence and explored the associations between blastocyst collapse and embryo ploidy, morphological quality, and clinical outcomes. Methods This observational study included data from 3288 biopsied blastocysts in 1071 time-lapse preimplantation genetic testing cycles performed between January 2019 and February 2023 at a single academic fertility center. All transferred blastocysts are euploid blastocysts. The artificial intelligence recognized blastocyst collapse in time-lapse microscopy videos and then registered the collapsing times, and the start time, the recovery duration, the shrinkage percentage of each collapse. The effects of blastocyst collapse and embryo ploidy, pregnancy, live birth, miscarriage, and embryo quality were studied using available data from 1196 euploid embryos and 1300 aneuploid embryos. Results 5.6% of blastocysts collapsed at least once only before the full blastocyst formation (tB), 19.4% collapsed at least once only after tB, and 3.1% collapsed both before and after tB. Multiple collapses of blastocysts after tB (times ≥ 2) are associated with higher aneuploid rates (54.6%, P > 0.05; 70.5%, P

In order to investigate the reaction process of using zinc chloride(ZnCl2) and uranium metal to prepare the electrolytic refining initial molten salt system LiCl-KCl-UCl3. In LiCl-KCl eutectic molten salt at 500 ℃, the thermodynamic calculation of the possible reaction was firstly carried out, the calculated results were used to determine the possible reaction path. The reaction process of uranium metal and zinc chloride was monitored by in-situ cyclic voltammetry and in-situ absorption spectroscopy. The color change of molten salt during the reaction was observed, and the change of element content in the sample was analyzed by ICP-MS. The reaction products were characterized by XRD and SEM-EDS. Summary all of them, the reaction behavior and reaction mechanism were finally determined. The results show that during the process of uranium metal and zinc chloride, Zn(Ⅱ) directly oxidizes uranium metal to U(Ⅲ), and the resulting Zn metal forms U-Zn alloy on the surface of the uranium metal. The process of initial molten salt system LiCl-KCl-UCl3 prepared by zinc chloride and uranium metal reaches equilibrium within 240 min, the final mass fraction of Zn is maintained at 0.01%.

Abstract The complete cp genomes of Pedicularis chinensis (GenBank accession number: OQ587614) and Pedicularis kansuensis (GenBank accession number: OQ587613) were sequenced, assembled, and annotated. Their chloroplast (cp) genome lengths were 146,452 bp, and 146,852 bp, respectively; 120 and 116 genes were identified, comprising 75 and 72 protein-coding genes (PCGs), 37 and 36 transfer RNA (tRNA) genes, and 8 and 8 ribosomal RNA (rRNA) genes, for P. chinensis and P. kansuensis, respectively. A simple sequence repeat (SSR) analysis revealed that the repetitive sequences were mainly composed of mononucleotide repeats (A/T motif) and dinucleotide repeats (AT/TA motif). Comparative genomics identified several variant genes (rpl22, rps19, rpl12, ycf1, trnH, psbA, and ndhH) and variant regions (trnS-GGA, trnV-UAC, ndhJ-trnV, ycf4-cemA, ndhE-nhdG, and rpl32-trnL) with a high Pi, indicating the potential to serve as deoxyribo nucleic acid (DNA) barcodes for Pedicularis species identification. The results show that the cp genomes of P. chinensis and P. kansuensis were the same as those of other plants in Pedicularis, with different degrees of AT preference for codons. Large differences in the number of SSRs and the expansion of the inverted repeat (IR) region showed strong variability and interspecific differentiation between these two species and other species represented in the genus Pedicularis. A phylogenetic analysis showed that P. kansuensis had the closest relationship with P. oliveriana, and P. chinensis had the closest relationship with P. aschistorhyncha. These results will facilitate the study of the phylogenetic classification and interspecific evolution of Pedicularis plants.

Abstract Carbon dots (CDs)‐based zero‐dimensional nanomaterials with dimensions ranging from 1 to 10 nm have shown tremendous potential in the application of regenerative medicine, because of their unique physicochemical properties and favorable attributes like good biocompatibility, unique biological functions, low cost and high stability. These newly synthesized CDs‐based nanomaterials could replace traditional semiconductor quantum dots, which have obvious toxicity drawbacks and higher costs. CDs not only show sustained fluorescent quality and biocompatibility, but also serve as superior carriers for drug delivery, as well as for bioimaging‐guided detection of cells, drugs, and growth factors. So, they have been shown to play a role in various fields such as chemical and biological sensing, bioimaging, drug delivery, and photocatalysis. Thus, they are considered potential candidates for regenerative medicine applications. In this review, we provide a comprehensive summary of the classification of CDs, focusing on their formation mechanisms, micro‐/nanostructures, and distinctive properties. We describe their properties and synthesis methods in detail. Furthermore, we systematically highlight recent remarkable advances in the applications of CDs in regenerative medicine, such as bone and cartilage repair, wound healing, nerve regeneration, and myocardial regeneration, are systematically highlighted. Finally, we discuss the key challenges that lie ahead, outline future research directions, and explore the prospects of CDs‐based materials in regenerative medicine.

Abstract Although papillary thyroid cancer (PTC) has a good prognosis, its recurrence rate is high and remains a core concern in the clinic. Molecular factors contributing to different recurrence risks (RRs) remain poorly defined. Here, we perform an integrative proteogenomic and metabolomic characterization of 102 Chinese PTC patients with different RRs. Genomic profiling reveals that mutations in MUC16 and TERT promoter as well as multiple gene fusions like NCOA4-RET are enriched by the high RR. Integrative multi-omics analyses further describe the multi-dimensional characteristics of PTC, especially in metabolism pathways, and delineate dominated molecular patterns of different RRs. Moreover, the PTC patients are clustered into four subtypes (CS1: low RR and BRAF-like; CS2: high RR and metabolism type, worst prognosis; CS3: high RR and immune type, better prognosis; CS4: high RR and BRAF-like) based on the omics data. Notably, the subtypes display significant differences considering BRAF and TERT promoter mutations, metabolism and immune pathway profiles, epithelial cell compositions, and various clinical factors (especially RRs and prognosis) as well as druggable targets. This study can provide insights into the complex molecular characteristics of PTC recurrences and help promote early diagnosis and precision treatment of recurrent PTC.

Intestinal microbial community plays an important part in maintaining health and skeletal muscle development in livestock. This study is the first of its kind in the world. In order to better understand the relationship between gut microbiota and gene expression in skeletal muscle of rabbits, caecum contents and longissimus dorsi tissues of rabbits at 0 d (S1), 35 d (S2) and 70d (S3) were collected and subjected for 16S rRNA sequencing and transcriptome sequencing. Our results showed that, among three groups of rabbits, Firmicutes and Bacteroidetes were the dominant phyla at the phylum level, while Akmansia, Bacteroides and Ruminobacter were the dominant genera at the genus level, and the relative abundance of Akmansia and Bacteroides increased firstly and then decreased from 0 d to 70 d. By analyzing the transcriptome sequencing data, we identified 2866, 2446 and 4541 differentially expressed genes (DEGs) in S1 vs S2, S2 vs S3 and S1 vs S3 groups, respectively. Finally, we performed correlation analysis between gut microbiota and the expression levels of muscle development-related genes of rabbits at 0 d and 70 d. Compared with 0 day old rabbits, in 70 day old rabbits Acinetobacter and Cronbacter with decreased abundance, and Ruminococcaceae_UCG-014 and Ruminococcus_1 with increase abundance is beneficial to caecum health in rabbits. These results will lay a foundation for further re-searches about the relationship between caecum microflora and muscle development in rabbits.

Objective: To investigate the effects of 8-week aquatic and land high intensity interval training (HIIT) on hemodynamics and vascular function in middle-aged men.Methods: Thirty middle-aged men with low physical activity were selected and divided into 15 men (52.43 ± 4.11) in aquatic group and 15 men (52.74 ± 5.62) in land group by random number table. They performed HIIT exercise in aquatic and land 3 times a week for 8 weeks. Pre-test, inter-test and post-test respectively measure hemodynamics and blood vessel function.Results: (1) Body composition: After 8 weeks of exercise, weight, body mass index (BMI) and body fat rate (BF) were lower than before exercise (aquatic group: p < 0.01, land group: p < 0.05). The improvement of BF in the aquatic group was better than that in the land group (p < 0.05); (2) Cardiac function: After 8 weeks of exercise, stroke volume (SV), left ventricular end-diastolic volume (EDV), cardiac output (CO), and left ventricular fractional shortening (FS), were higher than before exercise (aquatic group: p < 0.01, land group: p < 0.05), heart rate (HR) and left ventricular end-systolic volume (ESV) were lower than before exercise (aquatic group: p < 0.01, land group: p < 0.05). The improvement of SV, HR, EDV, ESV, CO and FS in the aquatic group was better than that in the land group (p < 0.05); (3) Hemodynamics: After 8 weeks of exercise, systolic blood pressure (SBP), diastolic blood pressure (DBP) were lower than before exercise (aquatic group: p < 0.01, land group: p < 0.05), wall shear stress (WSS) and peak systolic velocity (PSV) were higher than before exercise (aquatic group: p < 0.01, land group: p < 0.05). The improvement of SBP, WSS and PSV in the aquatic group was better than that in the land group (p < 0.05); (4) Vascular function: basal diameter and brachial artery flow-mediated dilatation (FMD) level in aquatic group and land group was higher than before exercise, pulse wave velocity (PWV) level was lower than before exercise (aquatic and land group: p < 0.05). The improvement of FMD in the aquatic group was better than that in the land group.Conclusion: The body composition, hemodynamics and vascular function of middle-aged men were improved by 8-week aquatic and land HIIT. Aquatic HIIT has better effect on body fat rate, hemodynamics and vascular endothelial function in middle-aged men due to the effect of aquatic pressure and temperature.

BackgroundThe worldwide incidence of preterm births is increasing, and the risks of adverse outcomes for preterm infants significantly increase with shorter gestation, resulting in a substantial socioeconomic burden. Limited epidemiological studies have been conducted in China regarding the incidence and spatiotemporal trends of preterm births. Seasonal variations in risk indicate the presence of possible modifiable factors. Gender influences the risk of preterm birth. ObjectiveThis study aims to assess the incidence rates of preterm birth, very preterm birth, and extremely preterm birth; elucidate their spatiotemporal distribution; and investigate the risk factors associated with preterm birth. MethodsWe obtained data from the Guangdong Provincial Maternal and Child Health Information System, spanning from January 1, 2014, to December 31, 2021, pertaining to neonates with gestational ages ranging from 24 weeks to 42 weeks. The primary outcome measures assessed variations in the rates of different preterm birth subtypes over the course of the study, such as by year, region, and season. Furthermore, we examined the relationship between preterm birth incidence and per capita gross domestic product (GDP), simultaneously analyzing the contributing risk factors. ResultsThe analysis incorporated data from 13,256,743 live births. We identified 754,268 preterm infants and 12,502,475 full-term infants. The incidences of preterm birth, very preterm birth, and extremely preterm birth were 5.69 per 100 births, 4.46 per 1000 births, and 4.83 per 10,000 births, respectively. The overall incidence of preterm birth increased from 5.12% in 2014 to 6.38% in 2021. The incidence of extremely preterm birth increased from 4.10 per 10,000 births in 2014 to 8.09 per 10,000 births in 2021. There was a positive correlation between the incidence of preterm infants and GDP per capita. In more developed economic regions, the incidence of preterm births was higher. Furthermore, adjusted odds ratios revealed that advanced maternal age, multiple pregnancies, and male infants were associated with an increased risk of preterm birth, whereas childbirth in the autumn season was associated with a protective effect against preterm birth. ConclusionsThe incidence of preterm birth in southern China exhibited an upward trend, closely linked to enhancements in the care capabilities for high-risk pregnant women and critically ill newborns. With the recent relaxation of China's 3-child policy, coupled with a temporary surge in advanced maternal age and multiple pregnancies, the risk of preterm birth has risen. Consequently, there is a pressing need to augment public health investments aimed at mitigating the risk factors associated with preterm birth, thereby alleviating the socioeconomic burden it imposes.

The frequent interaction and storage of big data in multi-source networks have broken traditional data silos, enabling cross regional and cross organizational data access, posing significant challenges to data security and privacy protection.As one of the technologies to protect data and resource security, access authentication faces enormous communication loads while obtaining trust from all data nodes, which can cause data loss and damage.Therefore, a blockchain based research method for multi-source network big data security access permission authentication was proposed.The transformation status of data in network transmission using similarity relationships was measured, and the probability of multi-source network data access based on the similarity matrix was calculated.The data security access contracts were established through blockchain technology, calibrating data access attributes and transaction ciphertexts, and compressing data within corresponding attributes.The access reliability based on the purpose of the access was analyzed, reliability was used as the standard to correspond to the security level, rules under different levels of reliability were accessed, specific permissions were authenticated for data security access, and implementation methods were designed.The experimental results show that using different data attribute contents as testing conditions, encrypting and decrypting data in both conventional and attack modes, the new method can achieve fast authentication response and secure access to network data.

Fractures are the main flow channels for oil and gas in the Permian Jiamuhe Formation volcanic reservoir in the Jinlong 2 Oilfield at the northwestern margin of the Junggar Basin. According to core, thin section and image logging data analyses, the fractures in this area are dominantly semifilled or unfilled high-angle fractures, followed by semifilled low-angle oblique fractures, and vertical fractures. The image logging results show that the fractures are oriented nearly east–west, approximately parallel to the direction of the present-day maximum principal in situ stress, and they have good flow effectiveness. The volcanic reservoir fracture development is mainly affected by structure and lithology. The fractures are mostly distributed in strips along the faults. The closer to the fault, the greater the structural curvature and the more developed the fractures. The fractures of intermediate–acid volcanic lava and pyroclastic lava are well developed in the study area. Additionally, the fracture development characteristics of a single well are determined by calculating the fracture density, fracture dip angle, and fracture porosity. Combined with the prestack seismic prediction method, i.e., amplitude versus azimuth (AVAZ), the attenuation initial frequency attribute is selected to predict the fracture distribution characteristics of the Jiamuhe Formation volcanic reservoir.

The purpose of this study is to improve the concentration of U(VI) in carbonate solution reasonably, which to improve the application potential of the alkaline reprocessing processes. The dissolution behavior of U3O8 in carbonate peroxide solutions was investigated under different conditions, including pH, carbonate concentration, and solid-liquid ratio. The results showed that the dissolution rate of U3O8 increased with the increase of pH from 8 to 11 in the mixed carbonate solution containing 0.5 mol/L H2O2. The role of carbonate ions in the dissolution of U3O8 was further elucidated by observing the dissolution of UO4·4H2O in carbonate solutions. Furthermore, the concentration of U(VI) in 3 mol/L Na2CO3 solution was successfully increased to 350 g/L under ultrasonic-assisted conditions at 60 °C and a solid-liquid ratio at 1/2 g/mL. Meanwhile, it is suggested that increasing the concentration of carbonate ions can improve the stability of the dissolved solution containing uranyl peroxycarbonate complex.

To reduce the negative effects of pectin and hemicellulose in the cell wall of feijoa fruit on fruit juice quality, and improve the juice yield, the effects of the enzyme ratio (hemicellulose and pectinase), the enzyme amount, temperature, and time on the juice yield and soluble solids of "Unique U-100" feijoa fruit juice were investigated. Based on single factor experiment, response surface methodology was further used to optimize the optimal technological parameters of enzymatic hydrolysis of feijoa fruit juice. The results showed that under the conditions of the ratio of the compound enzyme (hemicellulase/pectinase) of 2.14:1, enzyme amount of 19.6 g/L, enzymolysis temperature of 56.8 ℃, and enzymolysis time of 92 min, the juice yield of feijoa fruit was the highest, which was 79.5%, with a relative error of 5.67% compared to the predicted value of model. The soluble solid content in fruit juice was 15.7%, with a relative error of 0.83% compared to the predicted value of the model. In addition, compared to the directly squeezed fruit juice, the enzymatically hydrolyzed fruit juice showed higher clarity, total phenolic content (24.4 mg GAE/100 g), and VC content (2.42 mg/100 g). Therefore, this study optimized the process of pectinase and hemicellulase complex enzymatic hydrolysis for the preparation of feijoa fruit, which improved the juice yield and nutritional quality and provided a theoretical basis for the further processing of feijoa fruit juice.

Abstract Background Fat distribution is closely related to vascular stiffness. This study aimed to investigate age and sex differences in fat distribution and brachial-ankle pulse wave velocity (baPWV), and the association between fat parameters and baPWV. Methods A total of 10,811 participants aged 20–59 years were recruited. Measures included waist and hip circumference, waist-to-hip ratio (WHR), body mass index (BMI), percentage body fat (PBF), subcutaneous fat area (SFA), visceral fat area (VFA), and baPWV. Results The results confirm that fat accumulates with age and that men tend to carry more abdominal fat than women in the same age group. The findings also indicate that baPWV increases with age and is significantly higher in men than in women in the same age group. In addition, WHR, VFA, and baPWV were more strongly correlated than baPWV and BMI, SFA, and PBF. Finally, the effects of age, PBF, WHR, and VFA on baPWV were greater for the higher quantiles. Conclusions There are age and sex differences in fat distribution and baPWV. Abdominal obesity is more closely linked to arterial stiffness than overall obesity, and people with higher baPWV are more affected by obesity parameters.

Abstract While the role of emotion in leadership practice is well-acknowledged, there is still a lack of clarity regarding the behavioral distinctions between individuals with varying levels of leadership and the underlying neurocognitive mechanisms at play. This study utilizes facial emotion recognition in conjunction with electroencephalograms to explore the temporal dynamics of facial emotion recognition processes among college students with high and low levels of leadership. The results showed no significant differences in the amplitude of P1 during the early stage of facial emotion recognition between the two groups. In the middle stage of facial emotion recognition, the main effect of group was significant on the N170 component, with higher N170 amplitude evoked in high-leadership students than low-leadership students. In the late stage of facial emotion recognition, low-leadership students evoked greater LPP amplitude in the temporal-parietal lobe when recognizing happy facial emotions compared to high-leadership students. In addition, time–frequency results revealed a difference in the alpha frequency band, with high-leadership students exhibiting lower alpha power than low-leadership students. The results suggest differences in the brain temporal courses of facial emotion recognition between students with different leadership levels, which are mainly manifested in the middle stage of structural encoding and the late stage of delicate emotional processing during facial emotion recognition.

To enhance the fire safety performance in polystyrene (PS), a novel organic–inorganic hybrid material (FGO–AHP) was successfully prepared by the combination of functionalized graphene oxide (FGO) and aluminum hypophosphite (AHP) via a chemical deposition method. The resulting FGO–AHP nanohybrids were incorporated into PS via a masterbatch-melt blending to produce PS/FGO–AHP nanocomposites. Scanning electron microscope images confirm the homogeneous dispersion and exfoliation state of FGO–AHP in the PS matrix. Incorporating FGO–AHP significantly improves the thermal behavior and fire safety performance of PS. By incorporating 5 wt% FGO–AHP, the maximum mass loss rate (MMLR) in air, total heat release (THR), and maximum smoke density value (Dsmax) of PS nanocomposite achieve a reduction of 53.1%, 23.4%, and 50.9%, respectively, as compared to the pure PS. In addition, thermogravimetry–Fourier transform infrared (TG–FTIR) results indicate that introducing FGO–AHP notably inhibits the evolution of volatile products from PS decomposition. Further, scanning electron microscopy (SEM), FTIR, and Raman spectroscopy were employed to investigate the char residue of PS nanocomposite samples, elaborating the flame-retardant mechanism in PS/FGO–AHP nanocomposites.

The selection of the finest possible embryo in in-vitro fertilization (IVF) was crucial and revolutionary, particularly when just one embryo is transplanted to lessen the possibility of multiple pregnancies. However, practical usefulness of currently used methodologies may be constrained. Here, we established a novel non-invasive embryo evaluation method that combines non-invasive chromosomal screening (NICS) and Timelapse system along with artificial intelligence algorithms. With an area under the curve (AUC) of 0.94 and an accuracy of 0.88, the NICS-Timelapse model was able to predict blastocyst euploidy. The performance of the model was further evaluated using 75 patients in various clinical settings. The clinical pregnancy and live birth rates of embryos predicted by the NICS-Timelapse model, showing that embryos with higher euploid probabilities were associated with higher clinical pregnancy and live birth rates. These results demonstrated the NICS-Timelapse model's significantly wider application in clinical IVF due to its excellent accuracy and noninvasiveness.

Communication among the brain, gut and microbiota in the gut is known to affect the susceptibility to stress, but the mechanisms involved are unclear. Here we demonstrated that stress resistance in mice was associated with more abundant Lactobacillus and Akkermansia in the gut, but less abundant Bacteroides, Alloprevotella, Helicobacter, Lachnoclostridium, Blautia, Roseburia, Colidextibacter and Lachnospiraceae NK4A136. Stress-sensitive animals showed higher permeability and stronger immune responses in their colon, as well as higher levels of pro-inflammatory cytokines in serum. Their hippocampus also showed more extensive microglial activation, abnormal interactions between microglia and neurons, and lower synaptic plasticity. Transplanting fecal microbiota from stress-sensitive mice into naïve ones perturbed microglia-neuron interactions and impaired synaptic plasticity in the hippocampus, translating to more depression-like behavior after stress exposure. Conversely, transplanting fecal microbiota from stress-resistant mice into naïve ones protected microglia from activation and preserved synaptic plasticity in the hippocampus, leading to less depression-like behavior after stress exposure. These results suggested that gut microbiota may influence resilience to chronic psychological stress by regulating microglia-neuron interactions in the hippocampus.

As one of the top 10 famous flowers in Chinese tradition, Rhododendron przewalskii subsp. przewalskii known as ‘beauty in flowers,’ which has high ornamental and medicinal value. The complete chloroplast (cp) genome of R. przewalskii subsp. przewalskii was determined in this study. The complete chloroplast genome of R. przewalskii subsp. przewalskii was 201,233 bp in length and contained a large single-copy region (LSC, 108,077 bp), and a small single-copy region (SSC, 2624 bp) and a pair of inverted repeat regions (IRa and IRb, 45,266 bp). A total of 142 functional genes were observed in this cp genome, including 91 protein-coding genes (PCGs), 43 transfer RNA genes (tRNAs), and eight ribosomal RNA genes (rRNAs). The R. przewalskii subsp. przewalskii cp genome has an A + T content of 64.06% and presents a positive AT-skew (0.53%) and a negative GC-skew (−1.56%). The maximum likelihood phylogenetic analysis based on the concatenated nucleotide sequences of 13 PCGs strongly supported the monophyletic relationship of R. przewalskii subsp. przewalskii the clade of R. henanense subsp. lingbaoense. This study provides genomic evidence for the vegetation classification of Rhododendron.

Abstract Oxidative stress has been shown to induce cell death in a wide range of human diseases including cardiac ischemia/reperfusion injury, drug induced cardiotoxicity, and heart failure. However, the mechanism of cell death induced by oxidative stress remains incompletely understood. Here we provide new evidence that oxidative stress primarily induces ferroptosis, but not apoptosis, necroptosis, or mitochondria-mediated necrosis, in cardiomyocytes. Intriguingly, oxidative stress induced by organic oxidants such as tert-butyl hydroperoxide (tBHP) and cumene hydroperoxide (CHP), but not hydrogen peroxide (H2O2), promoted glutathione depletion and glutathione peroxidase 4 (GPX4) degradation in cardiomyocytes, leading to increased lipid peroxidation. Moreover, elevated oxidative stress is also linked to labile iron overload through downregulation of the transcription suppressor BTB and CNC homology 1 (Bach1), upregulation of heme oxygenase 1 (HO-1) expression, and enhanced iron release via heme degradation. Strikingly, oxidative stress also promoted HO-1 translocation to mitochondria, leading to mitochondrial iron overload and lipid reactive oxygen species (ROS) accumulation. Targeted inhibition of mitochondrial iron overload or ROS accumulation, by overexpressing mitochondrial ferritin (FTMT) or mitochondrial catalase (mCAT), respectively, markedly inhibited oxidative stress-induced ferroptosis. The levels of mitochondrial iron and lipid peroxides were also markedly increased in cardiomyocytes subjected to simulated ischemia and reperfusion (sI/R) or the chemotherapeutic agent doxorubicin (DOX). Overexpressing FTMT or mCAT effectively prevented cardiomyocyte death induced by sI/R or DOX. Taken together, oxidative stress induced by organic oxidants but not H2O2 primarily triggers ferroptotic cell death in cardiomyocyte through GPX4 and Bach1/HO-1 dependent mechanisms. Our results also reveal mitochondrial iron overload via HO-1 mitochondrial translocation as a key mechanism as well as a potential molecular target for oxidative stress-induced ferroptosis in cardiomyocytes.

Abstract Developing versatile, scalable, and durable coatings that resist the accretion of matters (liquid, vapor, and solid phases) in various operating environments is important to industrial applications, yet has proven challenging. Here, we report a cellular coating that imparts liquid-repellence, vapor-imperviousness, and solid-shedding capabilities without the need for complicated structures and fabrication processes. The key lies in designing basic cells consisting of rigid microshells and releasable nanoseeds, which together serve as a rigid shield and a bridge that chemically bonds with matrix and substrate. The durability and strong resistance to accretion of different matters of our cellular coating are evidenced by strong anti-abrasion, enhanced anti-corrosion against saltwater over 1000 h, and maintaining dry in complicated phase change conditions. The cells can be impregnated into diverse matrixes for facile mass production through scalable spraying. Our strategy provides a generic design blueprint for engineering ultra-durable coatings for a wide range of applications.

Probiotics play an important role in animal production, providing health benefits to the host by improving intestinal microbial balance. In this study, we added three different probiotics, Saccharomyces cerevisiae (SC), Bacillus licheniformis (BL), and lactic acid bacteria (LAB), and compared them with the control group (CON), to investigate the effects of probiotic supplementation on growth performance, gut microbiology, and gut flora of S. trutta. Our results showed that feeding probiotics improved the survival, growth, development, and fattening of S. trutta. Additionally, probiotic treatment causes changes in the gut probiotic community, and the gut flora microorganisms that cause significant changes vary among the probiotic treatments. However, in all three groups, the abundance of Pseudomonas, Acinetobacter, and Rhizophagus bacterial genera was similar to that in the top three comparative controls. Furthermore, differences in the composition of intestinal microbiota among feed types were directly associated with significant changes in the metabolomic landscape, including lipids and lipid-like molecules, organic acids and derivatives, and organoheterocyclic compounds. The probiotic treatment altered the gut microbiome, gut metabolome, and growth performance of S. trutta. Using a multi-omics approach, we discovered that the addition of probiotics altered the composition of gut microbiota, potentially leading to modifications in gut function and host phenotype. Overall, our results highlight the importance of probiotics as a key factor in animal health and productivity, enabling us to better evaluate the functional potential of probiotics.

Taste, dietary choices, and gut microbiota are often analyzed as major factors of metabolic health. Populations living in cold or hot regions have different dietary habits. This study aims to investigate the potential association among ambient temperature, food taste preferences, and cecal microbiota community profiles in mice. By exposing mice to mixed diets containing sweet, sour, salty, and bitter flavors at low (4 °C) and high (37 °C) ambient temperatures, the taste preferences of mice at both ambient temperatures were in the order of saltiness > sweetness > bitterness > sourness. Exposing mice to sweet, sour, salty, and bitter diets, respectively, revealed that in a low-temperature environment, mice consuming salty (5.00 ± 1.49 g), sweet (4.99 ± 0.35 g), and sour (3.90 ± 0.61 g) diets had significantly higher weight gain compared to those consuming normal feeds (2.34 ± 0.43 g, p < 0.05). Conversely, in a high-temperature environment, no significant changes in body weight were observed among mice consuming different flavored diets (p > 0.05). In a low-temperature environment, mice fed sour and sweet diets showed a significant difference in the gut microbiota composition when compared to those fed a normal diet. A higher abundance of Lachnospiraceae, UBA1819, and Clostridiales was identified as the most significant taxa in the sour group, and a higher abundance of Ruminiclostridium was identified in the sweet group. These differences were associated with microbial pathways involved in carbohydrate metabolism, amino acid metabolism, and energy metabolism. A high-temperature environment exhibited only minor effects on the gut microbiota profile. Overall, our findings provide evidence for temperature-modulated responses to the taste, gut microbiota functions, and body weight changes in mice.

During the subculture of filamentous fungi, obvious signs of degradation occur which affect the growth and development of the strain, change the content of metabolites, and interfere with gene expression. However, the specific molecular mechanism of filamentous fungi degradation is still unclear. In this study, a filamentous fungus Samsoniella hepiali was used as the research object, and it was continuously subcultured. The results showed that when the strain was subcultured to the F8 generation, the strain began to show signs of degradation, which was manifested by affecting the apparent morphology, reducing the growth rate and sporulation, and destroying the antioxidant system. Further transcriptome and metabolomics analyses were performed, and the results showed differentially expressed genes (DEGs) and differentially accumulated metabolites (DAMs) that were mainly enriched in four metabolic pathways: ABC transporters; fatty acid degradation; alanine, aspartate, and glutamate metabolism; and purine metabolism. Many of the metabolites that were significantly enriched in different pathways may mainly be regulated by genes belonging to proteins and enzymes, such as Abcd3, Ass1, and Pgm1. At the same time, in the process of subculture, many genes and metabolites that can induce apoptosis and senescence continue to accumulate, causing cell damage and consuming a lot of energy, which ultimately leads to the inhibition of mycelial growth. In summary, this study clarified the response of S. hepiali strains to key metabolic pathways during subculture and some reasons for the degradation of strains.

Apurinic/apyrimidinic endonuclease 1 (APE1), also known as redox factor-1 (Ref-1), is a multifunctional protein that exists widely in living organisms. It can specifically recognize and cleave the DNA in apurinic/apyrimidinic (AP) sites in the base excision repair (BER) pathway, as well as regulate the expression of genes to activate some transcription factors. The abnormal expression and disruptions in the biological functions of APE1 are linked to a number of diseases, including inflammation, immunodeficiency, and cancer. Hence, it is extremely desired to monitor the activity of APE1, acquiring a thorough understanding of the healing process of damaged DNA and making clinical diagnoses. Thanks to the advent of DNA nanotechnology, some nanodevices are used to image the activity of APE1 with great sensitivity and simplicity. In this review, we will summarize developments in DNA-nanotechnology-empowered fluorescence imaging in recent years for APE1 activity according to different types of DNA probes, which are classified into linear DNA probes, composite DNA nanomaterials, and three-dimensional (3D) DNA nanostructures. We also highlight the future research directions in the field of APE1 activity imaging.

Abstract Intrusion detection systems are increasingly using machine learning. While machine learning has shown excellent performance in identifying malicious traffic, it may increase the risk of privacy leakage. This paper focuses on implementing a model stealing attack on intrusion detection systems. Existing model stealing attacks are hard to implement in practical network environments, as they either need private data of the victim dataset or frequent access to the victim model. In this paper, we propose a novel solution called Fast Model Stealing Attack (FMSA) to address the problem in the field of model stealing attacks. We also highlight the risks of using ML-NIDS in network security. First, meta-learning frameworks are introduced into the model stealing algorithm to clone the victim model in a black-box state. Then, the number of accesses to the target model is used as an optimization term, resulting in minimal queries to achieve model stealing. Finally, adversarial training is used to simulate the data distribution of the target model and achieve the recovery of privacy data. Through experiments on multiple public datasets, compared to existing state-of-the-art algorithms, FMSA reduces the number of accesses to the target model and improves the accuracy of the clone model on the test dataset to 88.9% and the similarity with the target model to 90.1%. We can demonstrate the successful execution of model stealing attacks on the ML-NIDS system even with protective measures in place to limit the number of anomalous queries.

Deciphering patterns of connectivity between neurons in the brain is a critical step toward understanding brain function. Imaging-based neuroanatomical tracing identifies area-to-area or sparse neuron-to-neuron connectivity patterns, but with limited throughput. Barcode-based connectomics maps large numbers of single-neuron projections, but remains a challenge for jointly analyzing single-cell transcriptomics. Here, we established a rAAV2-retro barcode-based multiplexed tracing method that simultaneously characterizes the projectome and transcriptome at the single neuron level. We uncovered dedicated and collateral projection patterns of ventromedial prefrontal cortex (vmPFC) neurons to five downstream targets and found that projection-defined vmPFC neurons are molecularly heterogeneous. We identified transcriptional signatures of projection-specific vmPFC neurons, and verified Pou3f1 as a marker gene enriched in neurons projecting to the lateral hypothalamus, denoting a distinct subset with collateral projections to both dorsomedial striatum and lateral hypothalamus. In summary, we have developed a new multiplexed technique whose paired connectome and gene expression data can help reveal organizational principles that form neural circuits and process information.

Background: Given the differential expression and biological functions of protein arginine methylation (PAM) regulators in lung adenocarcinoma (LUAD), it may be of great value in the diagnosis, prognosis, and treatment of LUAD. However, the expression and function of PAM regulators in LUAD and its relationship with prognosis are unclear. Methods: 8 datasets including 1798 LUAD patients were selected. During the bioinformatic study in LUAD, we performed (i) consensus clustering to identify clusters based on 9 PAM regulators related expression profile data, (ii) to identify hub genes between the 2 clusters, (iii) principal component analysis to construct a PAM.score based on above genes, and (iv) evaluation of the effect of PAM.score on the deconstruction of tumor microenvironment and guidance of immunotherapy. Results: We identified two different clusters and a robust and clinically practicable prognostic scoring system. Meanwhile, a higher PAM.score subgroup showed poorer prognosis, and was validated by multiple cohorts. Its prognostic effect was validated by ROC (Receiver operating characteristic curve) curve and found to have a relatively good prediction efficacy. High PAM.score group exhibited lower immune score, which associated with an immunosuppressive microenvironment in LUAD. Finally, patients exhibiting a lower PAM.score presented noteworthy therapeutic benefits and clinical advantages. Conclusion: Our PAM.score model can help clinicians to select personalized therapy for LUAD patients, and PAM.score may act a part in the development of LUAD.

Summary: Fouling deposit on nuclear fuel cladding causes wick boiling and boron hideout, resulting in localized corrosion and power shift with great potential security and economic risks. Herein, a cost-effective time-saving adjustable reproduction method combining sol-gel with ceramic sintering is presented to enable wide coverage of fouling’s morphologies and microstructures. Based on fractal analysis, structurally self-similar fouling deposits from different reactors conform to proposed porosity-fractal dimension law under 3% relative error. Wick boiling and boron hideout numerical simulation based on fractal dimension is implemented to treat different morphologies and structures in a unified way. Cladding surface underneath fouling deposit has a maximum 9.243 K temperature increasement due to thermal resistance, and H3BO3 is concentrated 11.274 times by mean of wick boiling, causing Li2B4O7 precipitation under extreme conditions with low porosity and high heat flux. The insights in this study provide a precise approach for quantitative evaluation of localized corrosion and power shift.

PurposeTo explore the association between type 2 diabetes mellitus (T2DM) and body composition based on magnetic resonance fat fraction (FF) mapping.MethodsA total of 341 subjects, who underwent abdominal MRI examination with FF mapping were enrolled in this study, including 68 T2DM patients and 273 non-T2DM patients. The FFs and areas of visceral adipose tissue (VAT), subcutaneous adipose tissue (SAT) and abdominal muscle (AM) were measured at the level of the L1-L2 vertebral. The FF of bone marrow adipose tissue (BMAT) was determined by the averaged FF values measured at the level of T12 and L1 vertebral, respectively. The whole hepatic fat fraction (HFF) and pancreatic fat fraction (PFF) were measured based on 3D semi-automatic segmentation on the FF mapping. All data were analyzed by GraphPad Prism and MedCalc.ResultsVAT area, VAT FF, HFF, PFF of T2DM group were higher than those of non-T2DM group after adjusting for age and sex (P < 0.05). However, there was no differences in SAT area, SAT FF, BMAT FF, AM area and AM FF between the two groups (P > 0.05). VAT area and PFF were independent risk factors of T2DM (all P < 0.05). The area under the curve (AUC) of the receiver operating characteristic (ROC) for VAT area and PFF in differentiating between T2DM and non-T2DM were 0.685 and 0.787, respectively, and the AUC of PFF was higher than VAT area (P < 0.05). Additionally, in seemingly healthy individuals, the SAT area, VAT area, and AM area were found to be significantly associated with being overweight and/or obese (BMI ≥ 25) (all P < 0.05).ConclusionsIn this study, it was found that there were significant associations between T2DM and VAT area, VAT FF, HFF and PFF. In addition, VAT area and PFF were the independent risk factors of T2DM. Especially, PFF showed a high diagnostic performance in discrimination between T2DM and non-T2DM. These findings may highlight the crucial role of PFF in the pathophysiology of T2DM, and it might be served as a potential imaging biomarker of the prevention and treatment of T2DM. Additionally, in individuals without diabetes, focusing on SAT area, VAT area and AM area may help identify potential health risks and provide a basis for targeted weight management and prevention measures.

Abstract Vinyldiazo compounds are one of the most important synthons in the construction of a cyclic ring. Most photochemical transformations of vinyldiazo compounds are mainly focusing on utilization of their C═C bond site, while reactions taking place at terminal nitrogen atom are largely unexplored. Herein, a photocatalytic cascade radical cyclization of LBRs with vinyldiazo reagents through sequential B─N/C─N bond formation is described. The reaction starts with the addition of LBRs (Lewis base–boryl radicals) at diazo site, followed by intramolecular radical cyclization to access a wide range of important boron‐handled pyrazoles in good to excellent yields. Control experiments, together with detailed mechanism studies well explain the observed reactivity. Further studies demonstrate the utility of this approach for applications in pharmaceutical and agrochemical research.

BackgroundThe immune background of the overall population before and after the outbreak of SARS-CoV-2 in China remains unexplored. And the level of neutralizing antibodies is a reliable indicator of individual immunity.ObjectivesThis study aimed to assess the immune levels of different population groups during a viral outbreak and identify the factors influencing these levels.MethodsWe measured the levels of neutralizing antibodies in 12,137 participants using the COVID19 Neutralizing Antibody Detection kit. The dynamics of neutralizing antibodies were analyzed using a generalized additive model, while a generalized linear model and multi-factor analysis of variance were employed to investigate the influencing factors. Additionally, statistical methods were used to compare neutralizing antibody levels among subgroups of the real-world population.ResultsParticipants who received booster doses exhibited significantly higher levels of neutralizing antibodies compared to those who received only one or two doses (p

Objective The purpose of this study was to explore the effects of pain on functions and the relationship between functional changes in the hippocampus and attention and anxiety in a pain-sensitive population. Methods Fifty-three healthy subjects with no chronic pain were recruited in this study and divided into a pain-sensitive group (PS, n = 26) and a pain-tolerant group (PT, n = 27) according to the cold pressor test (CPT). Functional magnetic resonance imaging (fMRI) with a cold bottle test (cold and control conditions) was performed. The static and dynamic functional connectivity (FC) of the hippocampus was analyzed in both groups for the two conditions. Results Compared with PT, there were fewer static functional connections between the right hippocampus and the bilateral dorsolateral superior frontal gyrus in the PS group. Moreover, reduced functional connections between the hippocampus and brain regions were related to anxiety in the PS group, including the inferior temporal gyrus and the middle temporal gyrus. Significance Our results found that pain disturbed the default mode network in the PS group, which may be related to self-awareness. This result may reflect that people who are sensitive to pain are more likely to feel anxious.Key Points The functional connectivity within the DMN in the pain-sensitive group was significantly reduced, indicating the relationship between self-awareness and pain. The functional connectivity in the pain-sensitive group was significantly reduced in the hippocampus and some brain regions associated with anxiety, possibly reflecting the effect of pain on anxiety.

Pelvic floor muscle training (PFMT) reduces the symptoms in women with pelvic floor dysfunction (PFD); however, the optimal initial timing for secondary prevention of PFD by PFMT is not clear. To identify the optimal timing in Asian primiparas with vaginal delivery, bladder neck descent (BND), levator hiatus areas, and levator hiatus distensibility and contractility were assessed in 26 nulliparous women at 36 weeks of gestation and at 2, 4, 6, and 12 weeks postpartum. We found that BND increased significantly from 2 weeks onwards until 6 weeks postpartum (p = 0.004); the levator hiatus area at rest and contraction both showed the largest value at 2 weeks postpartum (p = 0.005 and p < 0.005 respectively), followed by a continuous decrease; the hiatus area during Valsalva manoeuvre, and the levator hiatus distensibility and contractility showed the lowest value at 2 weeks postpartum, followed by a continuous increase; the changes in BND showed no correlation with the changes in distensibility or hiatus area during Valsalva manoeuvre (p = 0.073 and 0.590 respectively). In Asian primiparas with vaginal delivery, the recovery of levator hiatus and bladder neck mobility begins at 2 and 6 weeks, respectively. This information could be useful in defining the best time to begin PFMT for secondary prevention of postpartum PFD in Asian primiparous women.IMPACT STATEMENT What is already known on this subject? Pelvic floor muscle training (PFMT) helps to reduce symptoms of pelvic floor dysfunction (PFD), however, there are no clear time strategies for the secondary prevention of PFD by PFMT in Asian primiparas with vaginal delivery. What do the results of this study add? This study was the first longitudinal study in Asian primipara to investigate the natural regeneration of pelvic floor functions in the early postpartum period by intensively monitoring the bladder neck mobility and levator hiatus dimensions at multiple time points. We found that bladder neck descent (BND) increased significantly from 2 weeks onwards until 6 weeks postpartum; the levator hiatus area at rest and contraction both showed the largest value at 2 weeks postpartum, followed by a continuous decrease; the hiatus area during Valsalva manoeuvre, and the levator hiatus distensibility and contractility showed the lowest value at 2 weeks postpartum, followed by a continuous increase; the changes in BND showed no correlation with the changes in distensibility or hiatus area during Valsalva manoeuvre. What are the implications of these findings for clinical practice and/or further research? Our study suggested that in Asian primipara, the recovery of bladder neck mobility after vaginal delivery begins at 6 weeks postpartum, while the levator hiatus muscle begins to recover within the first 2 weeks postpartum. Therefore, it could be useful in deciding the best time to start PFMT for secondary prevention of postpartum PFD in Asian primiparous women.

Abstract Background Coprophagy plays a vital role in maintaining growth and development in many small herbivores. Here, we constructed a coprophagy model by dividing rabbits into three groups, namely, control group (CON), sham-coprophagy prevention group (SCP), and coprophagy prevention group (CP), to explore the effects of coprophagy prevention on growth performance and cecal microecology in rabbits. Results Results showed that CP treatment decreased the feed utilization and growth performance of rabbits. Serum total cholesterol and total triglyceride in the CP group were remarkably lower than those in the other two groups. Furthermore, CP treatment destroyed cecum villi and reduced the content of short-chain fatty acids (SCFAs) in cecum contents. Gut microbiota profiling showed significant differences in the phylum and genus composition of cecal microorganisms among the three groups. At the genus level, the abundance of Oscillospira and Ruminococcus decreased significantly in the CP group. Enrichment analysis of metabolic pathways showed a significantly up-regulated differential metabolic pathway (PWY-7315, dTDP-N-acetylthomosamine biosynthesis) in the CP group compared with that in the CON group. Correlation analysis showed that the serum biochemical parameters were positively correlated with the abundance of Oscillospira, Sutterella, and Butyricimonas but negatively correlated with the abundance of Oxalobacte and Desulfovibrio. Meanwhile, the abundance of Butyricimonas and Parabacteroidesde was positively correlated with the concentration of butyric acid in the cecum. Conclusions In summary, coprophagy prevention had negative effects on serum biochemistry and gut microbiota, ultimately decreasing the growth performance of rabbits. The findings provide evidence for further revealing the biological significance of coprophagy in small herbivorous mammals.

Abstract Polycystic ovary syndrome (PCOS) is a common endocrine disorder in women of childbearing age. The etiology of PCOS is multifactorial, and current treatments for PCOS are far from satisfactory. Recently, an imbalanced autonomic nervous system (ANS) with sympathetic hyperactivity and reduced parasympathetic nerve activity (vagal tone) has aroused increasing attention in the pathogenesis of PCOS. In this paper, we review an innovative therapy for the treatment of PCOS and related co-morbidities by targeting parasympathetic modulation based on non-invasive transcutaneous auricular vagal nerve stimulation (ta-VNS). In this work, we present the role of the ANS in the development of PCOS and describe a large number of experimental and clinical reports that support the favorable effects of VNS/ta-VNS in treating a variety of symptoms, including obesity, insulin resistance, type 2 diabetes mellitus, inflammation, microbiome dysregulation, cardiovascular disease, and depression, all of which are also commonly present in PCOS patients. We propose a model focusing on ta-VNS that may treat PCOS by (1) regulating energy metabolism via bidirectional vagal signaling; (2) reversing insulin resistance via its antidiabetic effect; (3) activating anti-inflammatory pathways; (4) restoring homeostasis of the microbiota-gut-brain axis; (5) restoring the sympatho-vagal balance to improve CVD outcomes; (6) and modulating mental disorders. ta-VNS is a safe clinical procedure and it might be a promising new treatment approach for PCOS, or at least a supplementary treatment for current therapeutics.

In spent fuel reprocessing, UO2(DBP)2 (U-DBP) can be deposited in stainless steel equipment. U-DBP must be removed by dissolution and the process must not cause corrosion to stainless steel. This study was conducted to find the best scheme for dissolution. U-DBP was manufactured by the titrimetric sedimentation method. The effects of different factors on the dissolution of U-DBP were investigated. For example, solid-liquid ratio, hydrazine carbonate solutions with different mass components, mixed solutions containing different concentrations of H2O2, and different carbonates. The results indicated that U-DBP does not have a regular crystal morphology. With the increase of the solid-liquid ratio and the mass fraction of hydrazine carbonate, the concentration of U(VI) at the dissolution equilibrium increases gradually. The addition of H2O2 has a great promotion effect on the dissolution. However, when the concentration of H2O2 is greater than 0.5 M, the dissolution solution may have an erosive effect on the stainless steel. (NH4)2CO3 can increase the dissolution capacity of dissolved U-DBP, but it may also accelerate the corrosion of stainless steel.

BackgroundBenzo[a]pyrene (BaP) has neurotoxicity, which can induce the loss of hippocampal neurons in humans and animals and lead to spatial learning and memory dysfunction, but its mechanism is still unclear. ObjectiveTo observe the ferroptosis of mouse hippocampal neuron HT22 cells induced by 7,8-dihydroxy-9,10-epoxybenzo[a]pyrene (BPDE), an active metabolite of BaP, and to explore its potential mechanism, so as to provide a basis for the study of BaP neurotoxicity mechanism. MethodMouse hippocampal neuron HT22 cells were selected and divided into four groups: solvent control group and low, medium, and high concentration BPDE exposure groups (0.25, 0.50, and 0.75 μmol·L−1). Cell survival was detected by CCK8 method. Cell morphology and ultrastructure were observed under light and electron microscopes. The levels of reactive oxygen species (ROS) and Fe2+ were detected by fluorescence probe method. Iron, 4-hydroxynonenoic acid (4-HNE), malondialdehyde (MDA), glutathione (GSH), and glutathione peroxidase (GSH-PX) levels were detected with commercial kits. The expression levels of acyl-CoA synthase long chain family member 4 (ACSL4), cyclooxygenase 2 (COX2), solute carrier family 7 member 11 (SLC7A11), and glutathione peroxidase 4 (GPX4) were detected by Western blotting. After interventions with ferroptosis inhibitors 20 μmol·L−1 deferoxamine (DFO) and 10 μmol·L−1 ethyl 3-amino-4-cyclohexylaminobenzoate (Fer-1), the cell survival rate of each BPDE exposure group and the changes of the ferroptosis characteristic indicators and protein expression levels were observed. ResultsWith the increase of BPDE concentration, the survival rate of HT22 cells decreased gradually, and the survival rate of each BPDE group was significantly lower than that of the solvent control group (P

The high volatility in wind power and uncertainty of ramp events has brought significant hidden hazards to maintain the stable and safe operation of the power system. In this paper, a two-stage prediction framework is proposed, taking the measurement of the probability density curve and the judgment of ramp-up mode. Aiming at the issue of limited prediction information and the sensitivity of prediction values at extreme points, an uncertainty prediction model for wind power based on a gated recurrent unit quantile regression network is proposed to realize the screening and judgment of ramps based on the prediction results and the divergence measurement of probability density distribution. Faced with notoriously unpredictable ramps and the small-samples poor learning performance, this paper proposes a ramp pattern discrimination model based on a gradient boosting decision tree, which describes the events in a future period from their magnitude and duration. Compared with state-of-the-art ramp forecasting methods, our proposed framework yields highly outstanding performances and realizes the adaptive detection for wind power ramps.

Wildfires in transmission line passages are a severe threat to power security. Two wildfire detection models, which are based on the YOLOv5, are proposed in this paper. Due to the limited computing power of embedded terminals, the proposed models simplify the network structure of YOLOv5. Specifically, one is that only the overall structure of the neck and head parts in the original network structure is simplified, and the second method is based on the first method to delete the modules of backbone, which greatly reduces the number of parameters of the model. The experimental results show that the proposed lightweight models can achieve real-time monitoring in embedded devices while the accuracy and recall remain high.