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Ni‐rich cathodes with high energy densities are considered as promising candidates for advanced lithium‐ion batteries, whereas their commercial application is in dilemma due to dramatic capacity decay and poor structure stability stemmed from interfacial instability, structural degradation, and stress–strain accumulation, as well as intergranular cracks. Herein, a piezoelectric LiTaO3 (LTO) layer is facilely deposited onto Li[NixCoyMn1−x−y]O2 (x = 0.6, 0.8) cathodes to induce surface polarized electric fields via the intrinsic stress–strain of Ni‐rich active materials, thus modulating interfacial Li+ kinetics upon cycling. Various characterizations indicate that the electrochemical performances of LTO‐modified cathodes are obviously enhanced even under large current density and elevated temperature. Intensive explorations from in situ X‐ray diffraction technique, finite element analysis, and first‐principle calculation manifest that the improvement mechanism of LTO decoration can be attributed to the enhanced structural stability of bulk material, suppressed stress accumulation, and regulated ion transportation. These findings provide deep insight into surface coupling strategy between mechanical and electric fields to regulate the interfacial Li+ kinetics behavior and enhance structure stability for Ni‐rich cathodes, which will also arouse great interest from scientists and engineers in multifunctional surface engineering for electrochemical systems. This work provides deep insight into the surface coupling strategy between mechanical and electric fields to regulate the interfacial Li+ kinetics behavior and enhance structure stability for Ni‐rich cathodes by encapsulating Li[NixCoyMn1−x−y]O2 secondary particles with piezoelectric LiTaO3 layer to improve their electrochemical performances by a facile sol–gel method.

As one of the most promising cathodes for next‐generation lithium ion batteries (LIBs), Li‐rich materials have been extensively investigated for their high energy densities. However, the practical application of Li‐rich cathodes is extremely retarded by the sluggish electrode–electrolyte interface kinetics and structure instability. In this context, piezoelectric LiTaO3 is employed to functionalize the surface of Li1.2Ni0.17Mn0.56Co0.07O2 (LNMCO), aiming to boost the interfacial Li+ transport process in LIBs. The results demonstrate that the 2 wt% LiTaO3‐LNMCO electrode exhibits a stable capacity of 209.2 mAh g−1 at 0.1 C after 200 cycles and 172.4 mAh g−1 at 3 C. Further investigation reveals that such superior electrochemical performances of the LiTaO3 modified electrode results from the additional driving force from the piezoelectric LiTaO3 layer in promoting Li+ diffusion at the interface, as well as the stabilized bulk structure of LNMCO. The supplemented LiTaO3 layer on the LNMCO surface herein, sheds new light on the development of better Li‐rich cathodes toward high energy density applications. The decorated LiTaO3 with intrinsic characteristic of stress response at the surface of active LNMCO induces a local electric field, which significantly promotes Li+ diffusion at the cathode–electrolyte interphase, particularly in the discharge process. The application of the “initiative” function interphase material herein contributes to the comprehension of interphase engineering in a broad range of applications in the electrochemical and energy conversion community.

Background The temperature of testes exposed to hyperthermic conditions can affect livestock reproductive performance. This study aimed to explore the difference in semen quality, testicular morphological structure, and gene expression profiles of testes of Angora rabbits in spring (no heat stress), summer (intense heat stress), and autumn (no heat stress) seasons. Results Heat stress during summer significantly reduced semen quality and damaged testicular morphology and spermatogenesis, which recovered to normal levels in autumn, although semen quality recovery was notably slow. RNA-Seq analysis showed that the expression levels of 8703 genes changed significantly in summer, but their expression levels in autumn returned to those in spring, which was consistent with the testicular morphology analysis results in different seasons. Enrichment analysis revealed that the DEGs were primarily associated with spermatogenesis, sperm motility, spermatid development, cell death, regulation of apoptotic processes, and responses to external stimuli. The MAPK, Rap1, TNF, Ras, Apoptosis, and Wnt signaling pathways regulated reproduction under heat stress. In addition, minimal variations in testicular morphology and gene expression profiles were observed between autumn and spring. Gene expression pattern analysis showed that genes with high expression in summer mainly participated in the regulation of cell apoptosis, immunity, and response to heat stress, whereas genes with low expression in summer mainly participated in the regulation of spermatogenesis. Conclusions This study investigated the influence of different seasons on the reproductive performance of male Angora rabbits and provided initial insights into the molecular regulatory mechanisms underlying the testicular response to heat stress during summer.

Background Hair follicle density influences wool fibre production, which is one of the most important traits of the Wan Strain Angora rabbit. However, molecular mechanisms regulating hair follicle density have remained elusive. Results In this study, hair follicle density at different body sites of Wan Strain Angora rabbits with high and low wool production (HWP and LWP) was investigated by histological analysis. Haematoxylin-eosin staining showed a higher hair follicle density in the skin of the HWP rabbits. The long noncoding RNA (lncRNA) profile was investigated by RNA sequencing, and 50 and 38 differentially expressed (DE) lncRNAs and genes, respectively, were screened between the HWP and LWP groups. A gene ontology analysis revealed that phospholipid, lipid metabolic, apoptotic, lipid biosynthetic, and lipid and fatty acid transport processes were significantly enriched. Potential functional lncRNAs that regulate lipid metabolism, amino acid synthesis, as well as the Janus kinase (JAK)-signal transducer and activator of transcription (STAT) and hedgehog signalling pathways, were identified. Consequently, five lncRNAs (LNC_002171, LNC_000797, LNC_005567, LNC_013595, and LNC_020367) were considered to be potential regulators of hair follicle density and development. Three DE lncRNAs and genes were validated by quantitative real-time polymerase chain reaction (q-PCR). Conclusions LncRNA profiles provide information on lncRNA expression to improve the understanding of molecular mechanisms involved in the regulation of hair follicle density.

At present, there is insufficient evidence to evaluate the prognosis of patients with sepsis. This study anazed the clinical data of 822 sepsis patients in the ICU of a tertiary Grade A hospital to construct and validate a nomogram model for predicting the 28-day mortality risk in sepsis patients. The model was constructed using multivariate logistic regression analysis to screen for independent risk factors affecting prognosis, and a mortality risk prediction model was built based on these independent risk factors. The performance of the model was evaluated using the Hosmer–Lemeshow test, receiver operating characteristic curve (ROC), calibration plot, and decision curve analysis (DCA). Multivariate logistic regression identified five independent risk factors for 28-day mortality in sepsis patients: Age, SOFA score, CRP, Mechanical ventilation, and the use of Vasoactive drugs. The odds ratios ( OR) and 95% confidence intervals (95% CI ) for these factors were 1.037 (1.024–1.050), 1.093 (1.044–1.145), 1.034 (1.026–1.042), 1.967 (1.176–3.328), and 2.515 (1.611–3.941), respectively, with all P -values < 0.05. Based on these five independent risk factors, a nomogram model was constructed, with the area under the ROC curve (AUC) in the training set and external validation set being 0.849 (95% CI 0.818–0.880) and 0.837 (95% CI 0.887–0.886), respectively. Both the DCA curve and calibration plot confirmed that the model has good clinical efficacy. The nomogram prediction model established in this study has excellent predictive ability, which can help clinicians identify high-risk patients early and provide guidance for clinical decision-making.

Colostrum intake is a crucial determinant of survival in newborn rabbits. Neonates rely entirely on passive immunity transfer from their mothers while suckling colostrum. The goal of this study was to explore the protein differences of rabbit milk during different lactation periods. Our findings showed that the daily milk yield exhibited an increasing trend from the 2nd to the 21st day of lactation. A data-independent acquisition proteomics approach identified a total of 2011 proteins. Significantly, different abundances were found for 525 proteins in the colostrum and the mature milk samples. Eleven differentially abundant proteins (DAPs) were examined using parallel reaction monitoring, which verified the reliability of the proteomic data. Gene Ontology analysis revealed that these DAPs were primarily associated with glycosyltransferase activity, macromolecule transmembrane transporter activity, and regulation of acute inflammatory response. The dominant metabolic pathways of the DAPs involve the complement and coagulation cascades. A protein–protein interaction analysis identified apolipoprotein B, apolipoprotein A1, triose phosphate isomerase 1, and albumin as the hub proteins responsible for distinguishing differences between biological properties in rabbit colostrum and mature milk. These findings enhance our comprehension of the rabbit milk proteome, particularly in expanding our knowledge regarding the requirements of neonatal rabbits.

The deep natural language translation models have been used for automatic code error correction and have demonstrated outstanding potential. However, a large and accurately annotated training dataset is essential for these models to perform well. The key to improving the performance of these models lies in automatically and accurately annotating code errors and establishing a larger training dataset. Recently, a code error automatic annotation method based on Seq2edit has been proposed to optimize the dataset. However, the accuracy of the annotation is affected because tokens in the input code from the same statement may be aligned to different statements. This article proposes a Seq2edit annotation method based on the source code’s sentence structure. By dividing the code into statements with independent meanings and introducing a cost coefficient to improve the Levenshtein algorithm, this method optimizes the calculation of edit distance and enhances the ability to align tokens. Experimental results show that this method can fully utilize the contextual information of the source code during the automatic annotation process, leading to a significant improvement in annotation accuracy.

Background Postoperative head and neck cancer (HNC) patients frequently experience oral microbiome dysbiosis and bad prognosis outcomes due to surgical trauma and reduced oral function, which may exacerbate symptoms and impair recovery. This study investigates how two oral mouthwash interventions—normal saline (N) and Yikou gargle (Y)—influence the oral microbiome at critical postoperative time points and explores their prognostic implications. Methods Eighty HNC patients scheduled for surgery (30 requiring tracheostomy) were randomized into Group N or Group Y. Saliva samples were collected at baseline, post-operation, and pre-discharge. Using 16 S rRNA sequencing, we analyzed microbiome composition, compared community diversity, identified intervention-enriched taxa, and evaluated the clinical prognostic effects, such as dental issues. Results While both groups initially exhibited comparable microbiome diversity, Group Y demonstrated pronounced clustering distinct from the Group N. Streptococcus dominated both cohorts, but the Group Y exhibited reduced abundance of pathobionts, such as Haemophilus (LDA > 2, p  < 0.05 ). Clinically, tracheostomy patients in Group Y reported reduced severity of dental complications ( p  = 0.019) and higher abundance of Abiotrophia ( p  = 0.003) compared to Group N counterparts. Conclusion Our study provides insights into the impact of oral mouthwash interventions on the oral microbiome dynamics of HNC patients and their potential implications for prognosis. Understanding the role of the oral microbiome in HNC may pave the way for innovative therapeutic strategies that target the oral microbiota to improve treatment outcomes.

To reduce carbon emissions, it is advisable to replace coarse aggregates with recycled concrete; however, the low strength of recycled concrete necessitates the addition of nanomaterials to enhance its mechanical properties. In this study, compressive tests, lifecycle assessment, and lifecycle costing methods were used to examine the environmental, economic, and mechanical properties of concrete, and the recycled-aggregate (RA) replacement rate, nano-CaCO3 (NC) modification, and water–cement (W/C) ratio were examined as the main influencing factors. For multi-objective optimization considering the environment, economy, and compressive strength, the response surface method combined with a genetic algorithm was used. Subsequently, the TOPSIS and rank-sum ratio methods were employed to determine the optimal parameter design. The results indicated that the compressive strength of nano-modified recycled concrete decreases with an increase in the RA replacement rate and that NC can moderately increase the strength of concrete. The carbon emissions and cost of concrete decrease with increases in the RA replacement rate and W/C ratio, and they increase with the NC content. Among the factors considered, they are most significantly affected by the RA replacement rate. Using a multi-objective optimization approach together with a comprehensive evaluation, the optimal combination of parameters was determined to be 1.5% NC, 50% RA replacement, and a W/C ratio of 0.5.

Long tunnels often have curved sections when alignment designs are influenced by topography, adverse geology, and environmental factors. When the transversal SV wave is incident vertically, the curved section of the tunnel is subject to a connection between longitudinal and transversal loads, which are asymmetrical about the tunnel longitudinal axis. Compared to straight tunnels, curved tunnels are more complex in terms of forces and deformations and may become a key control section limiting the seismic safety of curved tunnels. To investigate the seismic response of curved tunnels, numerical simulations of curved tunnels with different radii of curvature under transversal SV seismic waves were carried out in this study. Local artificial boundaries were programmed and used for the 3D rock tunnel interaction system model to simulate semi-infinite rock and to eliminate fake reflections of seismic waves on local boundaries. The results show that longitudinal deformation and cross-sectional deformation occurred simultaneously in curved tunnels when the transversal SV wave was incident vertically. As the curvature increased, the longitudinal deformation of the curved tunnel increased. The cross-section of the tunnel was in oblique compression, and the cross-sectional internal force showed significant asymmetry. When the radius of curvature was 250 m, the difference in bending moment between the left and right haunch was 35.2%. These characteristics differ from those of straight tunnels and should be paid attention in the seismic design of curved tunnels.